source stringlengths 3 92 | c stringlengths 26 2.25M |
|---|---|
task_untied.c | /*
* the task-generation loop is put into a untied task
* So when the thread running task-generation loop get preempted to
* conduct the generated tasks,
* the other threads can resume the task-generation task, which
* is not tied to the original thread.
*/
#include <stdio.h>
#include <omp.h>
#define LARGE_NUMBER 10
//#define LARGE_NUMBER 10000000
double item[LARGE_NUMBER];
void process (double input)
{
printf("processing %f by thread %d\n",input, omp_get_thread_num());
}
int
main ()
{
#pragma omp parallel
{
#pragma omp single
{
int i;
printf("Using %d threads.\n",omp_get_num_threads());
/*
untied cannot be used with omp single
So another level of task is needed to used untied here!!
Explicit tasks:
* generated by #omp task
* tied or untied
Implicit tasks:
* generated by #omp parallel
* always tied!!
*/
#pragma omp task untied
// i is firstprivate, item is shared
{
for (i = 0; i < LARGE_NUMBER; i++)
{
#pragma omp task if(1)
process (item[i]);
}
}
}
}
return 0;
}
|
GB_unaryop__identity_fp32_int32.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__identity_fp32_int32
// op(A') function: GB_tran__identity_fp32_int32
// C type: float
// A type: int32_t
// cast: float cij = (float) aij
// unaryop: cij = aij
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, aij) \
float z = (float) 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_IDENTITY || GxB_NO_FP32 || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_fp32_int32
(
float *Cx, // Cx and Ax may be aliased
int32_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__identity_fp32_int32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
3d25pt_var.c | /*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 4;
tile_size[1] = 4;
tile_size[2] = 8;
tile_size[3] = 2048;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; k++) {
A[(t+1)%2][i][j][k] =
coef[0][i][j][k] * A[(t)%2][i ][j ][k ] +
coef[1][i][j][k] * (A[(t)%2][i-1][j ][k ] + A[(t)%2][i+1][j ][k ]) +
coef[2][i][j][k] * (A[(t)%2][i ][j-1][k ] + A[(t)%2][i ][j+1][k ]) +
coef[3][i][j][k] * (A[(t)%2][i ][j ][k-1] + A[(t)%2][i ][j ][k+1]) +
coef[4][i][j][k] * (A[(t)%2][i-2][j ][k ] + A[(t)%2][i+2][j ][k ]) +
coef[5][i][j][k] * (A[(t)%2][i ][j-2][k ] + A[(t)%2][i ][j+2][k ]) +
coef[6][i][j][k] * (A[(t)%2][i ][j ][k-2] + A[(t)%2][i ][j ][k+2]) +
coef[7][i][j][k] * (A[(t)%2][i-3][j ][k ] + A[(t)%2][i+3][j ][k ]) +
coef[8][i][j][k] * (A[(t)%2][i ][j-3][k ] + A[(t)%2][i ][j+3][k ]) +
coef[9][i][j][k] * (A[(t)%2][i ][j ][k-3] + A[(t)%2][i ][j ][k+3]) +
coef[10][i][j][k]* (A[(t)%2][i-4][j ][k ] + A[(t)%2][i+4][j ][k ]) +
coef[11][i][j][k]* (A[(t)%2][i ][j-4][k ] + A[(t)%2][i ][j+4][k ]) +
coef[12][i][j][k]* (A[(t)%2][i ][j ][k-4] + A[(t)%2][i ][j ][k+4]) ;
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
imageproc.c | /* ----------------------------------------------------------------------------
* @file imageproc.c
* @brief image processing functions for ppm and pgm types
*
* @author Jake Michael, jami1063@colorado.edu
* @course ECEN 5763: EMVIA, Summer 2021
*---------------------------------------------------------------------------*/
#include<stdlib.h>
#include<stdint.h>
#include<stdio.h>
#include<errno.h>
#include<omp.h>
#include"imageio.h"
#include"imageproc.h"
// see .h for more details
int rgb_diff(ppm_img_t *const frame, ppm_img_t *const bg, ppm_img_t *diff) {
int i;
int temp;
if (!frame || !bg || !diff) return -1;
// use openmp for speedup:
#pragma omp parallel for num_threads(5) \
default(none) private(i, temp) shared(diff)
for (i=0; i<bg->hres*bg->vres; i++) {
// rgb subtraction on ea. channel and keep within 0-255 intensity
temp = frame->pixel[i].r - bg->pixel[i].r;
if (temp < 0) temp = 0;
if (temp > 255) temp = 255;
diff->pixel[i].r = temp;
temp = frame->pixel[i].g - bg->pixel[i].g;
if (temp < 0) temp = 0;
if (temp > 255) temp = 255;
diff->pixel[i].g = temp;
temp = frame->pixel[i].b - bg->pixel[i].b;
if (temp < 0) temp = 0;
if (temp > 255) temp = 255;
diff->pixel[i].b = temp;
}
return 0;
}
// see .h for more details
int kernel_3x3(int i0, int j0, pgm_img_t *pgm, uint8_t *P) {
if (i0<1 || j0<1 || !pgm || !P) {
printf("kernel_3x3 error");
return -1;
}
P[0] = pgm->pixel[i0*pgm->hres+j0];
P[1] = pgm->pixel[i0*pgm->hres+j0+1];
P[2] = pgm->pixel[(i0-1)*pgm->hres+j0+1];
P[3] = pgm->pixel[(i0-1)*pgm->hres+j0];
P[4] = pgm->pixel[(i0-1)*pgm->hres+j0-1];
P[5] = pgm->pixel[i0*pgm->hres+j0-1];
P[6] = pgm->pixel[(i0+1)*pgm->hres+j0-1];
P[7] = pgm->pixel[(i0+1)*pgm->hres+j0];
P[8] = pgm->pixel[(i0+1)*pgm->hres+j0+1];
return 0;
}
// see .h for more details
int median_filter(pgm_img_t *pgm) {
static uint8_t hist[256];
uint8_t kernel[9];
int i; int sum;
// allocate space for the new filtered pixels
uint8_t* pixel_filt = malloc(sizeof(uint8_t)*pgm->vres*pgm->hres);
if (!pixel_filt) {
perror("pixel_filt malloc failed");
return -1;
}
// zero out hist
memset(&hist, 0, 256);
for (int r=1; r < pgm->vres-1; r++) {
for (int c=1; c < pgm->hres-1; c++) {
kernel_3x3(r, c, pgm, kernel);
for (int m=0; m<9; m++) hist[kernel[m]]++;
// no need to sort, extracts 5th largest neighbor in kernel
i = 0;
sum = 0;
while(sum < 5) {
sum = sum + hist[i];
i += 1;
}
pixel_filt[r*pgm->hres+c] = i-1;
for (int m=0; m<9; m++) hist[kernel[m]] = 0;
}
}
// free old pixel data
free(pgm->pixel);
// set new pointer to filtered data
pgm->pixel = pixel_filt;
return 0;
}
|
attribute.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% AAA TTTTT TTTTT RRRR IIIII BBBB U U TTTTT EEEEE %
% A A T T R R I B B U U T E %
% AAAAA T T RRRR I BBBB U U T EEE %
% A A T T R R I B B U U T E %
% A A T T R R IIIII BBBB UUU T EEEEE %
% %
% %
% MagickCore Get / Set Image Attributes %
% %
% Software Design %
% Cristy %
% October 2002 %
% %
% %
% Copyright 1999-2018 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/artifact.h"
#include "magick/attribute.h"
#include "magick/blob.h"
#include "magick/blob-private.h"
#include "magick/cache.h"
#include "magick/cache-private.h"
#include "magick/cache-view.h"
#include "magick/client.h"
#include "magick/channel.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colormap.h"
#include "magick/colormap-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/composite-private.h"
#include "magick/constitute.h"
#include "magick/deprecate.h"
#include "magick/draw.h"
#include "magick/draw-private.h"
#include "magick/effect.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/geometry.h"
#include "magick/histogram.h"
#include "magick/identify.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/memory_.h"
#include "magick/magick.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/paint.h"
#include "magick/pixel.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/quantize.h"
#include "magick/random_.h"
#include "magick/resource_.h"
#include "magick/semaphore.h"
#include "magick/segment.h"
#include "magick/splay-tree.h"
#include "magick/string_.h"
#include "magick/thread-private.h"
#include "magick/threshold.h"
#include "magick/transform.h"
#include "magick/utility.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e B o u n d i n g B o x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageBoundingBox() returns the bounding box of an image canvas.
%
% The format of the GetImageBoundingBox method is:
%
% RectangleInfo GetImageBoundingBox(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o bounds: Method GetImageBoundingBox returns the bounding box of an
% image canvas.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport RectangleInfo GetImageBoundingBox(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
MagickPixelPacket
target[3],
zero;
RectangleInfo
bounds;
register const PixelPacket
*p;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
bounds.width=0;
bounds.height=0;
bounds.x=(ssize_t) image->columns;
bounds.y=(ssize_t) image->rows;
GetMagickPixelPacket(image,&target[0]);
image_view=AcquireVirtualCacheView(image,exception);
p=GetCacheViewVirtualPixels(image_view,0,0,1,1,exception);
if (p == (const PixelPacket *) NULL)
{
image_view=DestroyCacheView(image_view);
return(bounds);
}
SetMagickPixelPacket(image,p,GetCacheViewVirtualIndexQueue(image_view),
&target[0]);
GetMagickPixelPacket(image,&target[1]);
p=GetCacheViewVirtualPixels(image_view,(ssize_t) image->columns-1,0,1,1,
exception);
if (p != (const PixelPacket *) NULL)
SetMagickPixelPacket(image,p,GetCacheViewVirtualIndexQueue(image_view),
&target[1]);
GetMagickPixelPacket(image,&target[2]);
p=GetCacheViewVirtualPixels(image_view,0,(ssize_t) image->rows-1,1,1,
exception);
if (p != (const PixelPacket *) NULL)
SetMagickPixelPacket(image,p,GetCacheViewVirtualIndexQueue(image_view),
&target[2]);
status=MagickTrue;
GetMagickPixelPacket(image,&zero);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickPixelPacket
pixel;
RectangleInfo
bounding_box;
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
# pragma omp critical (MagickCore_GetImageBoundingBox)
#endif
bounding_box=bounds;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
if ((x < bounding_box.x) &&
(IsMagickColorSimilar(&pixel,&target[0]) == MagickFalse))
bounding_box.x=x;
if ((x > (ssize_t) bounding_box.width) &&
(IsMagickColorSimilar(&pixel,&target[1]) == MagickFalse))
bounding_box.width=(size_t) x;
if ((y < bounding_box.y) &&
(IsMagickColorSimilar(&pixel,&target[0]) == MagickFalse))
bounding_box.y=y;
if ((y > (ssize_t) bounding_box.height) &&
(IsMagickColorSimilar(&pixel,&target[2]) == MagickFalse))
bounding_box.height=(size_t) y;
p++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
# pragma omp critical (MagickCore_GetImageBoundingBox)
#endif
{
if (bounding_box.x < bounds.x)
bounds.x=bounding_box.x;
if (bounding_box.y < bounds.y)
bounds.y=bounding_box.y;
if (bounding_box.width > bounds.width)
bounds.width=bounding_box.width;
if (bounding_box.height > bounds.height)
bounds.height=bounding_box.height;
}
}
image_view=DestroyCacheView(image_view);
if ((bounds.width == 0) && (bounds.height == 0))
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
else
{
bounds.width-=(bounds.x-1);
bounds.height-=(bounds.y-1);
}
return(bounds);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelDepth() returns the depth of a particular image channel.
%
% The format of the GetImageChannelDepth method is:
%
% size_t GetImageDepth(const Image *image,ExceptionInfo *exception)
% size_t GetImageChannelDepth(const Image *image,
% const ChannelType channel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport size_t GetImageDepth(const Image *image,ExceptionInfo *exception)
{
return(GetImageChannelDepth(image,CompositeChannels,exception));
}
MagickExport size_t GetImageChannelDepth(const Image *image,
const ChannelType channel,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
register ssize_t
i;
size_t
*current_depth,
depth,
number_threads;
ssize_t
y;
/*
Compute image depth.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
number_threads=(size_t) GetMagickResourceLimit(ThreadResource);
current_depth=(size_t *) AcquireQuantumMemory(number_threads,
sizeof(*current_depth));
if (current_depth == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
status=MagickTrue;
for (i=0; i < (ssize_t) number_threads; i++)
current_depth[i]=1;
if ((image->storage_class == PseudoClass) && (image->matte == MagickFalse))
{
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->colors,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
const int
id = GetOpenMPThreadId();
while (current_depth[id] < MAGICKCORE_QUANTUM_DEPTH)
{
MagickBooleanType
atDepth;
QuantumAny
range;
atDepth=MagickTrue;
range=GetQuantumRange(current_depth[id]);
if ((atDepth != MagickFalse) && ((channel & RedChannel) != 0))
if (IsPixelAtDepth(image->colormap[i].red,range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & GreenChannel) != 0))
if (IsPixelAtDepth(image->colormap[i].green,range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & BlueChannel) != 0))
if (IsPixelAtDepth(image->colormap[i].blue,range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse))
break;
current_depth[id]++;
}
}
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
image_view=AcquireVirtualCacheView(image,exception);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
DisableMSCWarning(4127)
if (1UL*QuantumRange <= MaxMap)
RestoreMSCWarning
{
size_t
*depth_map;
/*
Scale pixels to desired (optimized with depth map).
*/
depth_map=(size_t *) AcquireQuantumMemory(MaxMap+1,sizeof(*depth_map));
if (depth_map == (size_t *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (i=0; i <= (ssize_t) MaxMap; i++)
{
unsigned int
depth;
for (depth=1; depth < MAGICKCORE_QUANTUM_DEPTH; depth++)
{
Quantum
pixel;
QuantumAny
range;
range=GetQuantumRange(depth);
pixel=(Quantum) i;
if (pixel == ScaleAnyToQuantum(ScaleQuantumToAny(pixel,range),range))
break;
}
depth_map[i]=depth;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
Quantum
pixel;
if ((channel & RedChannel) != 0)
{
pixel=GetPixelRed(p);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
if ((channel & GreenChannel) != 0)
{
pixel=GetPixelGreen(p);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
if ((channel & BlueChannel) != 0)
{
pixel=GetPixelBlue(p);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
pixel=GetPixelOpacity(p);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
pixel=GetPixelIndex(indexes+x);
if (depth_map[ScaleQuantumToMap(pixel)] > current_depth[id])
current_depth[id]=depth_map[ScaleQuantumToMap(pixel)];
}
p++;
}
if (current_depth[id] == MAGICKCORE_QUANTUM_DEPTH)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
depth_map=(size_t *) RelinquishMagickMemory(depth_map);
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
#endif
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const int
id = GetOpenMPThreadId();
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
while (current_depth[id] < MAGICKCORE_QUANTUM_DEPTH)
{
MagickBooleanType
atDepth;
QuantumAny
range;
atDepth=MagickTrue;
range=GetQuantumRange(current_depth[id]);
if ((atDepth != MagickFalse) && ((channel & RedChannel) != 0))
if (IsPixelAtDepth(GetPixelRed(p),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & GreenChannel) != 0))
if (IsPixelAtDepth(GetPixelGreen(p),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & BlueChannel) != 0))
if (IsPixelAtDepth(GetPixelBlue(p),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse) && ((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
if (IsPixelAtDepth(GetPixelOpacity(p),range) == MagickFalse)
atDepth=MagickTrue;
if ((atDepth != MagickFalse) && ((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
if (IsPixelAtDepth(GetPixelIndex(indexes+x),range) == MagickFalse)
atDepth=MagickFalse;
if ((atDepth != MagickFalse))
break;
current_depth[id]++;
}
p++;
}
if (current_depth[id] == MAGICKCORE_QUANTUM_DEPTH)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
depth=current_depth[0];
for (i=1; i < (ssize_t) number_threads; i++)
if (depth < current_depth[i])
depth=current_depth[i];
current_depth=(size_t *) RelinquishMagickMemory(current_depth);
return(depth);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e Q u a n t u m D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageQuantumDepth() returns the depth of the image rounded to a legal
% quantum depth: 8, 16, or 32.
%
% The format of the GetImageQuantumDepth method is:
%
% size_t GetImageQuantumDepth(const Image *image,
% const MagickBooleanType constrain)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o constrain: A value other than MagickFalse, constrains the depth to
% a maximum of MAGICKCORE_QUANTUM_DEPTH.
%
*/
MagickExport size_t GetImageQuantumDepth(const Image *image,
const MagickBooleanType constrain)
{
size_t
depth;
depth=image->depth;
if (depth <= 8)
depth=8;
else
if (depth <= 16)
depth=16;
else
if (depth <= 32)
depth=32;
else
if (depth <= 64)
depth=64;
if (constrain != MagickFalse)
depth=(size_t) MagickMin((double) depth,(double) MAGICKCORE_QUANTUM_DEPTH);
return(depth);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageType() returns the potential type of image:
%
% Bilevel Grayscale GrayscaleMatte
% Palette PaletteMatte TrueColor
% TrueColorMatte ColorSeparation ColorSeparationMatte
%
% To ensure the image type matches its potential, use SetImageType():
%
% (void) SetImageType(image,GetImageType(image));
%
% The format of the GetImageType method is:
%
% ImageType GetImageType(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ImageType GetImageType(const Image *image,ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->colorspace == CMYKColorspace)
{
if (image->matte == MagickFalse)
return(ColorSeparationType);
return(ColorSeparationMatteType);
}
if (IsMonochromeImage(image,exception) != MagickFalse)
return(BilevelType);
if (IsGrayImage(image,exception) != MagickFalse)
{
if (image->matte != MagickFalse)
return(GrayscaleMatteType);
return(GrayscaleType);
}
if (IsPaletteImage(image,exception) != MagickFalse)
{
if (image->matte != MagickFalse)
return(PaletteMatteType);
return(PaletteType);
}
if (image->matte != MagickFalse)
return(TrueColorMatteType);
return(TrueColorType);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e G r a y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% either 0 or QuantumRange. Otherwise undefined is returned.
%
% The format of the IdentifyImageGray method is:
%
% ImageType IdentifyImageGray(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ImageType IdentifyImageGray(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
ImageType
type;
register const PixelPacket
*p;
register ssize_t
x;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((image->type == BilevelType) || (image->type == GrayscaleType) ||
(image->type == GrayscaleMatteType))
return(image->type);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
return(UndefinedType);
type=BilevelType;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsPixelGray(p) == MagickFalse)
{
type=UndefinedType;
break;
}
if ((type == BilevelType) && (IsPixelMonochrome(p) == MagickFalse))
type=GrayscaleType;
p++;
}
if (type == UndefinedType)
break;
}
image_view=DestroyCacheView(image_view);
if ((type == GrayscaleType) && (image->matte != MagickFalse))
type=GrayscaleMatteType;
return(type);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e M o n o c h r o m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IdentifyImageMonochrome() returns MagickTrue if all the pixels in the image
% have the same red, green, and blue intensities and the intensity is either
% 0 or QuantumRange.
%
% The format of the IdentifyImageMonochrome method is:
%
% MagickBooleanType IdentifyImageMonochrome(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType IdentifyImageMonochrome(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
ImageType
type;
register ssize_t
x;
register const PixelPacket
*p;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->type == BilevelType)
return(MagickTrue);
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
return(MagickFalse);
type=BilevelType;
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsPixelMonochrome(p) == MagickFalse)
{
type=UndefinedType;
break;
}
p++;
}
if (type == UndefinedType)
break;
}
image_view=DestroyCacheView(image_view);
if (type == BilevelType)
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i f y I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IdentifyImageType() returns the potential type of image:
%
% Bilevel Grayscale GrayscaleMatte
% Palette PaletteMatte TrueColor
% TrueColorMatte ColorSeparation ColorSeparationMatte
%
% To ensure the image type matches its potential, use SetImageType():
%
% (void) SetImageType(image,IdentifyImageType(image,exception),exception);
%
% The format of the IdentifyImageType method is:
%
% ImageType IdentifyImageType(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ImageType IdentifyImageType(const Image *image,
ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->colorspace == CMYKColorspace)
{
if (image->matte == MagickFalse)
return(ColorSeparationType);
return(ColorSeparationMatteType);
}
if (IdentifyImageMonochrome(image,exception) != MagickFalse)
return(BilevelType);
if (IdentifyImageGray(image,exception) != UndefinedType)
{
if (image->matte != MagickFalse)
return(GrayscaleMatteType);
return(GrayscaleType);
}
if (IdentifyPaletteImage(image,exception) != MagickFalse)
{
if (image->matte != MagickFalse)
return(PaletteMatteType);
return(PaletteType);
}
if (image->matte != MagickFalse)
return(TrueColorMatteType);
return(TrueColorType);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s G r a y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsGrayImage() returns MagickTrue if the type of the image is grayscale or
% bi-level.
%
% The format of the IsGrayImage method is:
%
% MagickBooleanType IsGrayImage(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType IsGrayImage(const Image *image,
ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if ((image->type == BilevelType) || (image->type == GrayscaleType) ||
(image->type == GrayscaleMatteType))
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s M o n o c h r o m e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsMonochromeImage() returns MagickTrue if type of the image is bi-level.
%
% The format of the IsMonochromeImage method is:
%
% MagickBooleanType IsMonochromeImage(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType IsMonochromeImage(const Image *image,
ExceptionInfo *exception)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->type == BilevelType)
return(MagickTrue);
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s O p a q u e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsOpaqueImage() returns MagickTrue if none of the pixels in the image have
% an opacity value other than opaque (0).
%
% The format of the IsOpaqueImage method is:
%
% MagickBooleanType IsOpaqueImage(const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType IsOpaqueImage(const Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
register const PixelPacket
*p;
register ssize_t
x;
ssize_t
y;
/*
Determine if image is opaque.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->matte == MagickFalse)
return(MagickTrue);
image_view=AcquireVirtualCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelOpacity(p) != OpaqueOpacity)
break;
p++;
}
if (x < (ssize_t) image->columns)
break;
}
image_view=DestroyCacheView(image_view);
return(y < (ssize_t) image->rows ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C h a n n e l D e p t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageChannelDepth() sets the depth of the image.
%
% The format of the SetImageChannelDepth method is:
%
% MagickBooleanType SetImageDepth(Image *image,const size_t depth)
% MagickBooleanType SetImageChannelDepth(Image *image,
% const ChannelType channel,const size_t depth)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o depth: the image depth.
%
*/
MagickExport MagickBooleanType SetImageDepth(Image *image,
const size_t depth)
{
return(SetImageChannelDepth(image,CompositeChannels,depth));
}
MagickExport MagickBooleanType SetImageChannelDepth(Image *image,
const ChannelType channel,const size_t depth)
{
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
QuantumAny
range;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (depth >= MAGICKCORE_QUANTUM_DEPTH)
{
image->depth=depth;
return(MagickTrue);
}
range=GetQuantumRange(depth);
if (image->storage_class == PseudoClass)
{
register ssize_t
i;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (i=0; i < (ssize_t) image->colors; i++)
{
if ((channel & RedChannel) != 0)
image->colormap[i].red=ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel((MagickRealType) image->colormap[i].red),range),range);
if ((channel & GreenChannel) != 0)
image->colormap[i].green=ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel((MagickRealType) image->colormap[i].green),range),range);
if ((channel & BlueChannel) != 0)
image->colormap[i].blue=ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel((MagickRealType) image->colormap[i].blue),range),range);
if ((channel & OpacityChannel) != 0)
image->colormap[i].opacity=ScaleAnyToQuantum(ScaleQuantumToAny(
ClampPixel((MagickRealType) image->colormap[i].opacity),range),
range);
}
}
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if !defined(MAGICKCORE_HDRI_SUPPORT)
DisableMSCWarning(4127)
if (1UL*QuantumRange <= MaxMap)
RestoreMSCWarning
{
Quantum
*depth_map;
register ssize_t
i;
/*
Scale pixels to desired (optimized with depth map).
*/
depth_map=(Quantum *) AcquireQuantumMemory(MaxMap+1,sizeof(*depth_map));
if (depth_map == (Quantum *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
for (i=0; i <= (ssize_t) MaxMap; i++)
depth_map[i]=ScaleAnyToQuantum(ScaleQuantumToAny((Quantum) i,range),
range);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,depth_map[ScaleQuantumToMap(GetPixelRed(q))]);
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,depth_map[ScaleQuantumToMap(GetPixelGreen(q))]);
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,depth_map[ScaleQuantumToMap(GetPixelBlue(q))]);
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
SetPixelOpacity(q,depth_map[ScaleQuantumToMap(GetPixelOpacity(q))]);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
{
status=MagickFalse;
continue;
}
}
image_view=DestroyCacheView(image_view);
depth_map=(Quantum *) RelinquishMagickMemory(depth_map);
if (status != MagickFalse)
image->depth=depth;
return(status);
}
#endif
/*
Scale pixels to desired depth.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
SetPixelRed(q,ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel(
(MagickRealType) GetPixelRed(q)),range),range));
if ((channel & GreenChannel) != 0)
SetPixelGreen(q,ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel(
(MagickRealType) GetPixelGreen(q)),range),range));
if ((channel & BlueChannel) != 0)
SetPixelBlue(q,ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel(
(MagickRealType) GetPixelBlue(q)),range),range));
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
SetPixelOpacity(q,ScaleAnyToQuantum(ScaleQuantumToAny(ClampPixel(
(MagickRealType) GetPixelOpacity(q)),range),range));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
{
status=MagickFalse;
continue;
}
}
image_view=DestroyCacheView(image_view);
if (status != MagickFalse)
image->depth=depth;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e T y p e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageType() sets the type of image. Choose from these types:
%
% BilevelType, GrayscaleType, GrayscaleMatteType, PaletteType,
% PaletteMatteType, TrueColorType, TrueColorMatteType,
% ColorSeparationType, ColorSeparationMatteType, OptimizeType
%
% The format of the SetImageType method is:
%
% MagickBooleanType SetImageType(Image *image,const ImageType type)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o type: Image type.
%
*/
MagickExport MagickBooleanType SetImageType(Image *image,const ImageType type)
{
const char
*artifact;
ImageInfo
*image_info;
MagickBooleanType
status;
QuantizeInfo
*quantize_info;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
status=MagickTrue;
image_info=AcquireImageInfo();
image_info->dither=image->dither;
artifact=GetImageArtifact(image,"dither");
if (artifact != (const char *) NULL)
(void) SetImageOption(image_info,"dither",artifact);
switch (type)
{
case BilevelType:
{
status=TransformImageColorspace(image,GRAYColorspace);
(void) NormalizeImage(image);
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->number_colors=2;
quantize_info->colorspace=GRAYColorspace;
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
image->matte=MagickFalse;
break;
}
case GrayscaleType:
{
status=TransformImageColorspace(image,GRAYColorspace);
image->matte=MagickFalse;
break;
}
case GrayscaleMatteType:
{
status=TransformImageColorspace(image,GRAYColorspace);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
break;
}
case PaletteType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if ((image->storage_class == DirectClass) || (image->colors > 256))
{
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->number_colors=256;
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
}
image->matte=MagickFalse;
break;
}
case PaletteBilevelMatteType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
(void) BilevelImageChannel(image,AlphaChannel,(double) QuantumRange/2.0);
quantize_info=AcquireQuantizeInfo(image_info);
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
break;
}
case PaletteMatteType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
quantize_info=AcquireQuantizeInfo(image_info);
quantize_info->colorspace=TransparentColorspace;
status=QuantizeImage(quantize_info,image);
quantize_info=DestroyQuantizeInfo(quantize_info);
break;
}
case TrueColorType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass);
image->matte=MagickFalse;
break;
}
case TrueColorMatteType:
{
status=TransformImageColorspace(image,sRGBColorspace);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
break;
}
case ColorSeparationType:
{
status=TransformImageColorspace(image,CMYKColorspace);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass);
image->matte=MagickFalse;
break;
}
case ColorSeparationMatteType:
{
status=TransformImageColorspace(image,CMYKColorspace);
if (image->storage_class != DirectClass)
status=SetImageStorageClass(image,DirectClass);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
break;
}
case OptimizeType:
case UndefinedType:
break;
}
image_info=DestroyImageInfo(image_info);
if (status == MagickFalse)
return(MagickFalse);
image->type=type;
return(MagickTrue);
}
|
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 <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
*/
template<typename DType>
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
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) {
out[a * row + b] = in[b * col + a];
}
}
}
}
}
template<typename xpu>
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>(ret, src, axes, s);
});
return;
}
#endif
MSHADOW_TYPE_SWITCH(ret.type_flag_, DType, {
switch (axes.ndim()) {
case 0: {
Tensor<xpu, 1, DType> in = src.get_with_shape<xpu, 1, DType>(mshadow::Shape1(1), s);
Tensor<xpu, 1, DType> out = ret.get_with_shape<xpu, 1, DType>(mshadow::Shape1(1), s);
Copy(out, in, s);
break;
}
case 1: {
Tensor<xpu, 1, DType> in = src.get<xpu, 1, DType>(s);
Tensor<xpu, 1, DType> out = ret.get<xpu, 1, DType>(s);
Copy(out, in, s);
break;
}
case 2: {
mshadow::Tensor<xpu, 2, DType> in = src.FlatTo2D<xpu, DType>(s);
mshadow::Tensor<xpu, 2, DType> out = ret.FlatTo2D<xpu, DType>(s);
if (axes[0] == 1 && axes[1] == 0) {
if (ctx.get_ctx().dev_mask() == cpu::kDevMask) {
Transpose2D<DType>(in.dptr_, out.dptr_, in.shape_[0], in.shape_[1]);
} else {
out = in.T();
}
} else {
Copy(out, in, s);
}
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);
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);
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);
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);
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_EQ(req[0], kWriteTo) << "Transpose does not support kWriteInplace and kAddTo";
if (param.axes.ndim() == 0) {
mxnet::TShape axes(inputs[0].ndim(), -1);
for (int i = 0; i < axes.ndim(); ++i) {
axes[i] = axes.ndim() - 1 - i;
}
TransposeImpl<xpu>(ctx.run_ctx, inputs[0], outputs[0], axes);
} else {
TransposeImpl<xpu>(ctx.run_ctx, inputs[0], outputs[0], param.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";
CHECK_NE(shp.ndim(), 0) << "Number of dimensions cannot be 0";
CHECK_NE(out_shp.ndim(), 0) << "Number of dimensions cannot be 0";
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;
}
};
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(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(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(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(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 = ishape[axis] / sections;
for (int i = 0; i < sections; ++i) {
indices[i+1] = section_size * (i + 1);
}
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_
|
omp_task_nest_untied.c | // RUN: %libomp-compile-and-run
#include <stdio.h>
#include "omp_testsuite.h"
int fib(int n) {
int a, b;
if (n < 2) {
return n;
} else {
if(n < 4) {
return fib(n - 1) + fib(n - 2);
} else {
#pragma omp task shared(a) untied
{
a = fib(n - 1);
}
#pragma omp task shared(b) untied
{
b = fib(n - 2);
}
#pragma omp taskwait
return a + b;
}
}
}
int fib_seq(int n) {
int a, b;
if (n < 2) {
return n;
} else {
a = fib_seq(n - 1);
b = fib_seq(n - 2);
return a + b;
}
}
int main() {
int i;
int n = 20;
int num_failed = 0;
for(i = 0; i < REPETITIONS; i++) {
int task_val = 0;
int seq_val = fib_seq(n);
#pragma omp parallel shared(task_val) firstprivate(n)
#pragma omp master
{
task_val = fib(n);
}
if(seq_val != task_val) {
printf("[%d] Failed: fib(%d) = %d (ANS = %d)\n", i, n, task_val, seq_val);
num_failed++;
}
}
return num_failed;
}
|
c-parser.c | /* Parser for C and Objective-C.
Copyright (C) 1987, 1988, 1989, 1992, 1993, 1994, 1995, 1996, 1997, 1998,
1999, 2000, 2001, 2002, 2003, 2004, 2005, 2007, 2008, 2009
Free Software Foundation, Inc.
Parser actions based on the old Bison parser; structure somewhat
influenced by and fragments based on the C++ parser.
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/>. */
/* TODO:
Make sure all relevant comments, and all relevant code from all
actions, brought over from old parser. Verify exact correspondence
of syntax accepted.
Add testcases covering every input symbol in every state in old and
new parsers.
Include full syntax for GNU C, including erroneous cases accepted
with error messages, in syntax productions in comments.
Make more diagnostics in the front end generally take an explicit
location rather than implicitly using input_location. */
#include "config.h"
#include "system.h"
#include "coretypes.h"
#include "tm.h"
#include "tree.h"
#include "rtl.h"
#include "langhooks.h"
#include "input.h"
#include "cpplib.h"
#include "timevar.h"
#include "c-pragma.h"
#include "c-tree.h"
#include "flags.h"
#include "output.h"
#include "toplev.h"
#include "ggc.h"
#include "c-common.h"
#include "vec.h"
#include "target.h"
#include "cgraph.h"
#include "plugin.h"
#include "except.h"
/* Initialization routine for this file. */
void
c_parse_init (void)
{
/* The only initialization required is of the reserved word
identifiers. */
unsigned int i;
tree id;
int mask = 0;
/* Make sure RID_MAX hasn't grown past the 8 bits used to hold the keyword in
the c_token structure. */
gcc_assert (RID_MAX <= 255);
mask |= D_CXXONLY;
if (!flag_isoc99)
mask |= D_C99;
if (flag_no_asm)
{
mask |= D_ASM | D_EXT;
if (!flag_isoc99)
mask |= D_EXT89;
}
if (!c_dialect_objc ())
mask |= D_OBJC | D_CXX_OBJC;
ridpointers = GGC_CNEWVEC (tree, (int) RID_MAX);
for (i = 0; i < num_c_common_reswords; i++)
{
/* If a keyword is disabled, do not enter it into the table
and so create a canonical spelling that isn't a keyword. */
if (c_common_reswords[i].disable & mask)
{
if (warn_cxx_compat
&& (c_common_reswords[i].disable & D_CXXWARN))
{
id = get_identifier (c_common_reswords[i].word);
C_SET_RID_CODE (id, RID_CXX_COMPAT_WARN);
C_IS_RESERVED_WORD (id) = 1;
}
continue;
}
id = get_identifier (c_common_reswords[i].word);
C_SET_RID_CODE (id, c_common_reswords[i].rid);
C_IS_RESERVED_WORD (id) = 1;
ridpointers [(int) c_common_reswords[i].rid] = id;
}
}
/* The C lexer intermediates between the lexer in cpplib and c-lex.c
and the C parser. Unlike the C++ lexer, the parser structure
stores the lexer information instead of using a separate structure.
Identifiers are separated into ordinary identifiers, type names,
keywords and some other Objective-C types of identifiers, and some
look-ahead is maintained.
??? It might be a good idea to lex the whole file up front (as for
C++). It would then be possible to share more of the C and C++
lexer code, if desired. */
/* The following local token type is used. */
/* A keyword. */
#define CPP_KEYWORD ((enum cpp_ttype) (N_TTYPES + 1))
/* More information about the type of a CPP_NAME token. */
typedef enum c_id_kind {
/* An ordinary identifier. */
C_ID_ID,
/* An identifier declared as a typedef name. */
C_ID_TYPENAME,
/* An identifier declared as an Objective-C class name. */
C_ID_CLASSNAME,
/* An address space identifier. */
C_ID_ADDRSPACE,
/* Not an identifier. */
C_ID_NONE
} c_id_kind;
/* A single C token after string literal concatenation and conversion
of preprocessing tokens to tokens. */
typedef struct GTY (()) c_token {
/* The kind of token. */
ENUM_BITFIELD (cpp_ttype) type : 8;
/* If this token is a CPP_NAME, this value indicates whether also
declared as some kind of type. Otherwise, it is C_ID_NONE. */
ENUM_BITFIELD (c_id_kind) id_kind : 8;
/* If this token is a keyword, this value indicates which keyword.
Otherwise, this value is RID_MAX. */
ENUM_BITFIELD (rid) keyword : 8;
/* If this token is a CPP_PRAGMA, this indicates the pragma that
was seen. Otherwise it is PRAGMA_NONE. */
ENUM_BITFIELD (pragma_kind) pragma_kind : 8;
/* The value associated with this token, if any. */
tree value;
/* The location at which this token was found. */
location_t location;
} c_token;
/* A parser structure recording information about the state and
context of parsing. Includes lexer information with up to two
tokens of look-ahead; more are not needed for C. */
typedef struct GTY(()) c_parser {
/* The look-ahead tokens. */
c_token tokens[2];
/* How many look-ahead tokens are available (0, 1 or 2). */
short tokens_avail;
/* True if a syntax error is being recovered from; false otherwise.
c_parser_error sets this flag. It should clear this flag when
enough tokens have been consumed to recover from the error. */
BOOL_BITFIELD error : 1;
/* True if we're processing a pragma, and shouldn't automatically
consume CPP_PRAGMA_EOL. */
BOOL_BITFIELD in_pragma : 1;
/* True if we're parsing the outermost block of an if statement. */
BOOL_BITFIELD in_if_block : 1;
/* True if we want to lex an untranslated string. */
BOOL_BITFIELD lex_untranslated_string : 1;
/* Objective-C specific parser/lexer information. */
BOOL_BITFIELD objc_pq_context : 1;
/* The following flag is needed to contextualize Objective-C lexical
analysis. In some cases (e.g., 'int NSObject;'), it is
undesirable to bind an identifier to an Objective-C class, even
if a class with that name exists. */
BOOL_BITFIELD objc_need_raw_identifier : 1;
} c_parser;
/* The actual parser and external interface. ??? Does this need to be
garbage-collected? */
static GTY (()) c_parser *the_parser;
/* Read in and lex a single token, storing it in *TOKEN. */
static void
c_lex_one_token (c_parser *parser, c_token *token)
{
timevar_push (TV_LEX);
token->type = c_lex_with_flags (&token->value, &token->location, NULL,
(parser->lex_untranslated_string
? C_LEX_STRING_NO_TRANSLATE : 0));
token->id_kind = C_ID_NONE;
token->keyword = RID_MAX;
token->pragma_kind = PRAGMA_NONE;
switch (token->type)
{
case CPP_NAME:
{
tree decl;
bool objc_force_identifier = parser->objc_need_raw_identifier;
if (c_dialect_objc ())
parser->objc_need_raw_identifier = false;
if (C_IS_RESERVED_WORD (token->value))
{
enum rid rid_code = C_RID_CODE (token->value);
if (rid_code == RID_CXX_COMPAT_WARN)
{
warning_at (token->location,
OPT_Wc___compat,
"identifier %qE conflicts with C++ keyword",
token->value);
}
else if (rid_code >= RID_FIRST_ADDR_SPACE
&& rid_code <= RID_LAST_ADDR_SPACE)
{
token->id_kind = C_ID_ADDRSPACE;
token->keyword = rid_code;
break;
}
else if (c_dialect_objc ())
{
if (!objc_is_reserved_word (token->value)
&& (!OBJC_IS_PQ_KEYWORD (rid_code)
|| parser->objc_pq_context))
{
/* Return the canonical spelling for this keyword. */
token->value = ridpointers[(int) rid_code];
token->type = CPP_KEYWORD;
token->keyword = rid_code;
break;
}
}
else
{
token->type = CPP_KEYWORD;
token->keyword = rid_code;
break;
}
}
decl = lookup_name (token->value);
if (decl)
{
if (TREE_CODE (decl) == TYPE_DECL)
{
token->id_kind = C_ID_TYPENAME;
break;
}
}
else if (c_dialect_objc ())
{
tree objc_interface_decl = objc_is_class_name (token->value);
/* Objective-C class names are in the same namespace as
variables and typedefs, and hence are shadowed by local
declarations. */
if (objc_interface_decl
&& (global_bindings_p ()
|| (!objc_force_identifier && !decl)))
{
token->value = objc_interface_decl;
token->id_kind = C_ID_CLASSNAME;
break;
}
}
token->id_kind = C_ID_ID;
}
break;
case CPP_AT_NAME:
/* This only happens in Objective-C; it must be a keyword. */
token->type = CPP_KEYWORD;
token->keyword = C_RID_CODE (token->value);
break;
case CPP_COLON:
case CPP_COMMA:
case CPP_CLOSE_PAREN:
case CPP_SEMICOLON:
/* These tokens may affect the interpretation of any identifiers
following, if doing Objective-C. */
if (c_dialect_objc ())
parser->objc_need_raw_identifier = false;
break;
case CPP_PRAGMA:
/* We smuggled the cpp_token->u.pragma value in an INTEGER_CST. */
token->pragma_kind = (enum pragma_kind) TREE_INT_CST_LOW (token->value);
token->value = NULL;
break;
default:
break;
}
timevar_pop (TV_LEX);
}
/* Return a pointer to the next token from PARSER, reading it in if
necessary. */
static inline c_token *
c_parser_peek_token (c_parser *parser)
{
if (parser->tokens_avail == 0)
{
c_lex_one_token (parser, &parser->tokens[0]);
parser->tokens_avail = 1;
}
return &parser->tokens[0];
}
/* Return true if the next token from PARSER has the indicated
TYPE. */
static inline bool
c_parser_next_token_is (c_parser *parser, enum cpp_ttype type)
{
return c_parser_peek_token (parser)->type == type;
}
/* Return true if the next token from PARSER does not have the
indicated TYPE. */
static inline bool
c_parser_next_token_is_not (c_parser *parser, enum cpp_ttype type)
{
return !c_parser_next_token_is (parser, type);
}
/* Return true if the next token from PARSER is the indicated
KEYWORD. */
static inline bool
c_parser_next_token_is_keyword (c_parser *parser, enum rid keyword)
{
return c_parser_peek_token (parser)->keyword == keyword;
}
/* Return true if TOKEN can start a type name,
false otherwise. */
static bool
c_token_starts_typename (c_token *token)
{
switch (token->type)
{
case CPP_NAME:
switch (token->id_kind)
{
case C_ID_ID:
return false;
case C_ID_ADDRSPACE:
return true;
case C_ID_TYPENAME:
return true;
case C_ID_CLASSNAME:
gcc_assert (c_dialect_objc ());
return true;
default:
gcc_unreachable ();
}
case CPP_KEYWORD:
switch (token->keyword)
{
case RID_UNSIGNED:
case RID_LONG:
case RID_SHORT:
case RID_SIGNED:
case RID_COMPLEX:
case RID_INT:
case RID_CHAR:
case RID_FLOAT:
case RID_DOUBLE:
case RID_VOID:
case RID_DFLOAT32:
case RID_DFLOAT64:
case RID_DFLOAT128:
case RID_BOOL:
case RID_ENUM:
case RID_STRUCT:
case RID_UNION:
case RID_TYPEOF:
case RID_CONST:
case RID_VOLATILE:
case RID_RESTRICT:
case RID_ATTRIBUTE:
case RID_FRACT:
case RID_ACCUM:
case RID_SAT:
return true;
default:
return false;
}
case CPP_LESS:
if (c_dialect_objc ())
return true;
return false;
default:
return false;
}
}
/* Return true if the next token from PARSER can start a type name,
false otherwise. */
static inline bool
c_parser_next_token_starts_typename (c_parser *parser)
{
c_token *token = c_parser_peek_token (parser);
return c_token_starts_typename (token);
}
/* Return true if TOKEN can start declaration specifiers, false
otherwise. */
static bool
c_token_starts_declspecs (c_token *token)
{
switch (token->type)
{
case CPP_NAME:
switch (token->id_kind)
{
case C_ID_ID:
return false;
case C_ID_ADDRSPACE:
return true;
case C_ID_TYPENAME:
return true;
case C_ID_CLASSNAME:
gcc_assert (c_dialect_objc ());
return true;
default:
gcc_unreachable ();
}
case CPP_KEYWORD:
switch (token->keyword)
{
case RID_STATIC:
case RID_EXTERN:
case RID_REGISTER:
case RID_TYPEDEF:
case RID_INLINE:
case RID_AUTO:
case RID_THREAD:
case RID_UNSIGNED:
case RID_LONG:
case RID_SHORT:
case RID_SIGNED:
case RID_COMPLEX:
case RID_INT:
case RID_CHAR:
case RID_FLOAT:
case RID_DOUBLE:
case RID_VOID:
case RID_DFLOAT32:
case RID_DFLOAT64:
case RID_DFLOAT128:
case RID_BOOL:
case RID_ENUM:
case RID_STRUCT:
case RID_UNION:
case RID_TYPEOF:
case RID_CONST:
case RID_VOLATILE:
case RID_RESTRICT:
case RID_ATTRIBUTE:
case RID_FRACT:
case RID_ACCUM:
case RID_SAT:
return true;
default:
return false;
}
case CPP_LESS:
if (c_dialect_objc ())
return true;
return false;
default:
return false;
}
}
/* Return true if the next token from PARSER can start declaration
specifiers, false otherwise. */
static inline bool
c_parser_next_token_starts_declspecs (c_parser *parser)
{
c_token *token = c_parser_peek_token (parser);
return c_token_starts_declspecs (token);
}
/* Return a pointer to the next-but-one token from PARSER, reading it
in if necessary. The next token is already read in. */
static c_token *
c_parser_peek_2nd_token (c_parser *parser)
{
if (parser->tokens_avail >= 2)
return &parser->tokens[1];
gcc_assert (parser->tokens_avail == 1);
gcc_assert (parser->tokens[0].type != CPP_EOF);
gcc_assert (parser->tokens[0].type != CPP_PRAGMA_EOL);
c_lex_one_token (parser, &parser->tokens[1]);
parser->tokens_avail = 2;
return &parser->tokens[1];
}
/* Consume the next token from PARSER. */
static void
c_parser_consume_token (c_parser *parser)
{
gcc_assert (parser->tokens_avail >= 1);
gcc_assert (parser->tokens[0].type != CPP_EOF);
gcc_assert (!parser->in_pragma || parser->tokens[0].type != CPP_PRAGMA_EOL);
gcc_assert (parser->error || parser->tokens[0].type != CPP_PRAGMA);
if (parser->tokens_avail == 2)
parser->tokens[0] = parser->tokens[1];
parser->tokens_avail--;
}
/* Expect the current token to be a #pragma. Consume it and remember
that we've begun parsing a pragma. */
static void
c_parser_consume_pragma (c_parser *parser)
{
gcc_assert (!parser->in_pragma);
gcc_assert (parser->tokens_avail >= 1);
gcc_assert (parser->tokens[0].type == CPP_PRAGMA);
if (parser->tokens_avail == 2)
parser->tokens[0] = parser->tokens[1];
parser->tokens_avail--;
parser->in_pragma = true;
}
/* Update the globals input_location and in_system_header from
TOKEN. */
static inline void
c_parser_set_source_position_from_token (c_token *token)
{
if (token->type != CPP_EOF)
{
input_location = token->location;
}
}
/* Issue a diagnostic of the form
FILE:LINE: MESSAGE before TOKEN
where TOKEN is the next token in the input stream of PARSER.
MESSAGE (specified by the caller) is usually of the form "expected
OTHER-TOKEN".
Do not issue a diagnostic if still recovering from an error.
??? This is taken from the C++ parser, but building up messages in
this way is not i18n-friendly and some other approach should be
used. */
static void
c_parser_error (c_parser *parser, const char *gmsgid)
{
c_token *token = c_parser_peek_token (parser);
if (parser->error)
return;
parser->error = true;
if (!gmsgid)
return;
/* This diagnostic makes more sense if it is tagged to the line of
the token we just peeked at. */
c_parser_set_source_position_from_token (token);
c_parse_error (gmsgid,
/* Because c_parse_error does not understand
CPP_KEYWORD, keywords are treated like
identifiers. */
(token->type == CPP_KEYWORD ? CPP_NAME : token->type),
/* ??? The C parser does not save the cpp flags of a
token, we need to pass 0 here and we will not get
the source spelling of some tokens but rather the
canonical spelling. */
token->value, /*flags=*/0);
}
/* If the next token is of the indicated TYPE, consume it. Otherwise,
issue the error MSGID. If MSGID is NULL then a message has already
been produced and no message will be produced this time. Returns
true if found, false otherwise. */
static bool
c_parser_require (c_parser *parser,
enum cpp_ttype type,
const char *msgid)
{
if (c_parser_next_token_is (parser, type))
{
c_parser_consume_token (parser);
return true;
}
else
{
c_parser_error (parser, msgid);
return false;
}
}
/* If the next token is the indicated keyword, consume it. Otherwise,
issue the error MSGID. Returns true if found, false otherwise. */
static bool
c_parser_require_keyword (c_parser *parser,
enum rid keyword,
const char *msgid)
{
if (c_parser_next_token_is_keyword (parser, keyword))
{
c_parser_consume_token (parser);
return true;
}
else
{
c_parser_error (parser, msgid);
return false;
}
}
/* Like c_parser_require, except that tokens will be skipped until the
desired token is found. An error message is still produced if the
next token is not as expected. If MSGID is NULL then a message has
already been produced and no message will be produced this
time. */
static void
c_parser_skip_until_found (c_parser *parser,
enum cpp_ttype type,
const char *msgid)
{
unsigned nesting_depth = 0;
if (c_parser_require (parser, type, msgid))
return;
/* Skip tokens until the desired token is found. */
while (true)
{
/* Peek at the next token. */
c_token *token = c_parser_peek_token (parser);
/* If we've reached the token we want, consume it and stop. */
if (token->type == type && !nesting_depth)
{
c_parser_consume_token (parser);
break;
}
/* If we've run out of tokens, stop. */
if (token->type == CPP_EOF)
return;
if (token->type == CPP_PRAGMA_EOL && parser->in_pragma)
return;
if (token->type == CPP_OPEN_BRACE
|| token->type == CPP_OPEN_PAREN
|| token->type == CPP_OPEN_SQUARE)
++nesting_depth;
else if (token->type == CPP_CLOSE_BRACE
|| token->type == CPP_CLOSE_PAREN
|| token->type == CPP_CLOSE_SQUARE)
{
if (nesting_depth-- == 0)
break;
}
/* Consume this token. */
c_parser_consume_token (parser);
}
parser->error = false;
}
/* Skip tokens until the end of a parameter is found, but do not
consume the comma, semicolon or closing delimiter. */
static void
c_parser_skip_to_end_of_parameter (c_parser *parser)
{
unsigned nesting_depth = 0;
while (true)
{
c_token *token = c_parser_peek_token (parser);
if ((token->type == CPP_COMMA || token->type == CPP_SEMICOLON)
&& !nesting_depth)
break;
/* If we've run out of tokens, stop. */
if (token->type == CPP_EOF)
return;
if (token->type == CPP_PRAGMA_EOL && parser->in_pragma)
return;
if (token->type == CPP_OPEN_BRACE
|| token->type == CPP_OPEN_PAREN
|| token->type == CPP_OPEN_SQUARE)
++nesting_depth;
else if (token->type == CPP_CLOSE_BRACE
|| token->type == CPP_CLOSE_PAREN
|| token->type == CPP_CLOSE_SQUARE)
{
if (nesting_depth-- == 0)
break;
}
/* Consume this token. */
c_parser_consume_token (parser);
}
parser->error = false;
}
/* Expect to be at the end of the pragma directive and consume an
end of line marker. */
static void
c_parser_skip_to_pragma_eol (c_parser *parser)
{
gcc_assert (parser->in_pragma);
parser->in_pragma = false;
if (!c_parser_require (parser, CPP_PRAGMA_EOL, "expected end of line"))
while (true)
{
c_token *token = c_parser_peek_token (parser);
if (token->type == CPP_EOF)
break;
if (token->type == CPP_PRAGMA_EOL)
{
c_parser_consume_token (parser);
break;
}
c_parser_consume_token (parser);
}
parser->error = false;
}
/* Skip tokens until we have consumed an entire block, or until we
have consumed a non-nested ';'. */
static void
c_parser_skip_to_end_of_block_or_statement (c_parser *parser)
{
unsigned nesting_depth = 0;
bool save_error = parser->error;
while (true)
{
c_token *token;
/* Peek at the next token. */
token = c_parser_peek_token (parser);
switch (token->type)
{
case CPP_EOF:
return;
case CPP_PRAGMA_EOL:
if (parser->in_pragma)
return;
break;
case CPP_SEMICOLON:
/* If the next token is a ';', we have reached the
end of the statement. */
if (!nesting_depth)
{
/* Consume the ';'. */
c_parser_consume_token (parser);
goto finished;
}
break;
case CPP_CLOSE_BRACE:
/* If the next token is a non-nested '}', then we have
reached the end of the current block. */
if (nesting_depth == 0 || --nesting_depth == 0)
{
c_parser_consume_token (parser);
goto finished;
}
break;
case CPP_OPEN_BRACE:
/* If it the next token is a '{', then we are entering a new
block. Consume the entire block. */
++nesting_depth;
break;
case CPP_PRAGMA:
/* If we see a pragma, consume the whole thing at once. We
have some safeguards against consuming pragmas willy-nilly.
Normally, we'd expect to be here with parser->error set,
which disables these safeguards. But it's possible to get
here for secondary error recovery, after parser->error has
been cleared. */
c_parser_consume_pragma (parser);
c_parser_skip_to_pragma_eol (parser);
parser->error = save_error;
continue;
default:
break;
}
c_parser_consume_token (parser);
}
finished:
parser->error = false;
}
/* CPP's options (initialized by c-opts.c). */
extern cpp_options *cpp_opts;
/* Save the warning flags which are controlled by __extension__. */
static inline int
disable_extension_diagnostics (void)
{
int ret = (pedantic
| (warn_pointer_arith << 1)
| (warn_traditional << 2)
| (flag_iso << 3)
| (warn_long_long << 4)
| (warn_cxx_compat << 5));
cpp_opts->pedantic = pedantic = 0;
warn_pointer_arith = 0;
cpp_opts->warn_traditional = warn_traditional = 0;
flag_iso = 0;
cpp_opts->warn_long_long = warn_long_long = 0;
warn_cxx_compat = 0;
return ret;
}
/* Restore the warning flags which are controlled by __extension__.
FLAGS is the return value from disable_extension_diagnostics. */
static inline void
restore_extension_diagnostics (int flags)
{
cpp_opts->pedantic = pedantic = flags & 1;
warn_pointer_arith = (flags >> 1) & 1;
cpp_opts->warn_traditional = warn_traditional = (flags >> 2) & 1;
flag_iso = (flags >> 3) & 1;
cpp_opts->warn_long_long = warn_long_long = (flags >> 4) & 1;
warn_cxx_compat = (flags >> 5) & 1;
}
/* Possibly kinds of declarator to parse. */
typedef enum c_dtr_syn {
/* A normal declarator with an identifier. */
C_DTR_NORMAL,
/* An abstract declarator (maybe empty). */
C_DTR_ABSTRACT,
/* A parameter declarator: may be either, but after a type name does
not redeclare a typedef name as an identifier if it can
alternatively be interpreted as a typedef name; see DR#009,
applied in C90 TC1, omitted from C99 and reapplied in C99 TC2
following DR#249. For example, given a typedef T, "int T" and
"int *T" are valid parameter declarations redeclaring T, while
"int (T)" and "int * (T)" and "int (T[])" and "int (T (int))" are
abstract declarators rather than involving redundant parentheses;
the same applies with attributes inside the parentheses before
"T". */
C_DTR_PARM
} c_dtr_syn;
static void c_parser_external_declaration (c_parser *);
static void c_parser_asm_definition (c_parser *);
static void c_parser_declaration_or_fndef (c_parser *, bool, bool, bool, bool);
static void c_parser_declspecs (c_parser *, struct c_declspecs *, bool, bool,
bool);
static struct c_typespec c_parser_enum_specifier (c_parser *);
static struct c_typespec c_parser_struct_or_union_specifier (c_parser *);
static tree c_parser_struct_declaration (c_parser *);
static struct c_typespec c_parser_typeof_specifier (c_parser *);
static struct c_declarator *c_parser_declarator (c_parser *, bool, c_dtr_syn,
bool *);
static struct c_declarator *c_parser_direct_declarator (c_parser *, bool,
c_dtr_syn, bool *);
static struct c_declarator *c_parser_direct_declarator_inner (c_parser *,
bool,
struct c_declarator *);
static struct c_arg_info *c_parser_parms_declarator (c_parser *, bool, tree);
static struct c_arg_info *c_parser_parms_list_declarator (c_parser *, tree);
static struct c_parm *c_parser_parameter_declaration (c_parser *, tree);
static tree c_parser_simple_asm_expr (c_parser *);
static tree c_parser_attributes (c_parser *);
static struct c_type_name *c_parser_type_name (c_parser *);
static struct c_expr c_parser_initializer (c_parser *);
static struct c_expr c_parser_braced_init (c_parser *, tree, bool);
static void c_parser_initelt (c_parser *);
static void c_parser_initval (c_parser *, struct c_expr *);
static tree c_parser_compound_statement (c_parser *);
static void c_parser_compound_statement_nostart (c_parser *);
static void c_parser_label (c_parser *);
static void c_parser_statement (c_parser *);
static void c_parser_statement_after_labels (c_parser *);
static void c_parser_if_statement (c_parser *);
static void c_parser_switch_statement (c_parser *);
static void c_parser_while_statement (c_parser *);
static void c_parser_do_statement (c_parser *);
static void c_parser_for_statement (c_parser *);
static tree c_parser_asm_statement (c_parser *);
static tree c_parser_asm_operands (c_parser *, bool);
static tree c_parser_asm_goto_operands (c_parser *);
static tree c_parser_asm_clobbers (c_parser *);
static struct c_expr c_parser_expr_no_commas (c_parser *, struct c_expr *);
static struct c_expr c_parser_conditional_expression (c_parser *,
struct c_expr *);
static struct c_expr c_parser_binary_expression (c_parser *, struct c_expr *);
static struct c_expr c_parser_cast_expression (c_parser *, struct c_expr *);
static struct c_expr c_parser_unary_expression (c_parser *);
static struct c_expr c_parser_sizeof_expression (c_parser *);
static struct c_expr c_parser_alignof_expression (c_parser *);
static struct c_expr c_parser_postfix_expression (c_parser *);
static struct c_expr c_parser_postfix_expression_after_paren_type (c_parser *,
struct c_type_name *,
location_t);
static struct c_expr c_parser_postfix_expression_after_primary (c_parser *,
location_t loc,
struct c_expr);
static struct c_expr c_parser_expression (c_parser *);
static struct c_expr c_parser_expression_conv (c_parser *);
static VEC(tree,gc) *c_parser_expr_list (c_parser *, bool, bool,
VEC(tree,gc) **);
static void c_parser_omp_construct (c_parser *);
static void c_parser_omp_threadprivate (c_parser *);
static void c_parser_omp_barrier (c_parser *);
static void c_parser_omp_flush (c_parser *);
static void c_parser_omp_taskwait (c_parser *);
enum pragma_context { pragma_external, pragma_stmt, pragma_compound };
static bool c_parser_pragma (c_parser *, enum pragma_context);
/* These Objective-C parser functions are only ever called when
compiling Objective-C. */
static void c_parser_objc_class_definition (c_parser *);
static void c_parser_objc_class_instance_variables (c_parser *);
static void c_parser_objc_class_declaration (c_parser *);
static void c_parser_objc_alias_declaration (c_parser *);
static void c_parser_objc_protocol_definition (c_parser *);
static enum tree_code c_parser_objc_method_type (c_parser *);
static void c_parser_objc_method_definition (c_parser *);
static void c_parser_objc_methodprotolist (c_parser *);
static void c_parser_objc_methodproto (c_parser *);
static tree c_parser_objc_method_decl (c_parser *);
static tree c_parser_objc_type_name (c_parser *);
static tree c_parser_objc_protocol_refs (c_parser *);
static void c_parser_objc_try_catch_statement (c_parser *);
static void c_parser_objc_synchronized_statement (c_parser *);
static tree c_parser_objc_selector (c_parser *);
static tree c_parser_objc_selector_arg (c_parser *);
static tree c_parser_objc_receiver (c_parser *);
static tree c_parser_objc_message_args (c_parser *);
static tree c_parser_objc_keywordexpr (c_parser *);
/* Parse a translation unit (C90 6.7, C99 6.9).
translation-unit:
external-declarations
external-declarations:
external-declaration
external-declarations external-declaration
GNU extensions:
translation-unit:
empty
*/
static void
c_parser_translation_unit (c_parser *parser)
{
if (c_parser_next_token_is (parser, CPP_EOF))
{
pedwarn (c_parser_peek_token (parser)->location, OPT_pedantic,
"ISO C forbids an empty translation unit");
}
else
{
void *obstack_position = obstack_alloc (&parser_obstack, 0);
mark_valid_location_for_stdc_pragma (false);
do
{
ggc_collect ();
c_parser_external_declaration (parser);
obstack_free (&parser_obstack, obstack_position);
}
while (c_parser_next_token_is_not (parser, CPP_EOF));
}
}
/* Parse an external declaration (C90 6.7, C99 6.9).
external-declaration:
function-definition
declaration
GNU extensions:
external-declaration:
asm-definition
;
__extension__ external-declaration
Objective-C:
external-declaration:
objc-class-definition
objc-class-declaration
objc-alias-declaration
objc-protocol-definition
objc-method-definition
@end
*/
static void
c_parser_external_declaration (c_parser *parser)
{
int ext;
switch (c_parser_peek_token (parser)->type)
{
case CPP_KEYWORD:
switch (c_parser_peek_token (parser)->keyword)
{
case RID_EXTENSION:
ext = disable_extension_diagnostics ();
c_parser_consume_token (parser);
c_parser_external_declaration (parser);
restore_extension_diagnostics (ext);
break;
case RID_ASM:
c_parser_asm_definition (parser);
break;
case RID_AT_INTERFACE:
case RID_AT_IMPLEMENTATION:
gcc_assert (c_dialect_objc ());
c_parser_objc_class_definition (parser);
break;
case RID_CLASS:
gcc_assert (c_dialect_objc ());
c_parser_objc_class_declaration (parser);
break;
case RID_AT_ALIAS:
gcc_assert (c_dialect_objc ());
c_parser_objc_alias_declaration (parser);
break;
case RID_AT_PROTOCOL:
gcc_assert (c_dialect_objc ());
c_parser_objc_protocol_definition (parser);
break;
case RID_AT_END:
gcc_assert (c_dialect_objc ());
c_parser_consume_token (parser);
objc_finish_implementation ();
break;
default:
goto decl_or_fndef;
}
break;
case CPP_SEMICOLON:
pedwarn (c_parser_peek_token (parser)->location, OPT_pedantic,
"ISO C does not allow extra %<;%> outside of a function");
c_parser_consume_token (parser);
break;
case CPP_PRAGMA:
mark_valid_location_for_stdc_pragma (true);
c_parser_pragma (parser, pragma_external);
mark_valid_location_for_stdc_pragma (false);
break;
case CPP_PLUS:
case CPP_MINUS:
if (c_dialect_objc ())
{
c_parser_objc_method_definition (parser);
break;
}
/* Else fall through, and yield a syntax error trying to parse
as a declaration or function definition. */
default:
decl_or_fndef:
/* A declaration or a function definition. We can only tell
which after parsing the declaration specifiers, if any, and
the first declarator. */
c_parser_declaration_or_fndef (parser, true, true, false, true);
break;
}
}
/* Parse a declaration or function definition (C90 6.5, 6.7.1, C99
6.7, 6.9.1). If FNDEF_OK is true, a function definition is
accepted; otherwise (old-style parameter declarations) only other
declarations are accepted. If NESTED is true, we are inside a
function or parsing old-style parameter declarations; any functions
encountered are nested functions and declaration specifiers are
required; otherwise we are at top level and functions are normal
functions and declaration specifiers may be optional. If EMPTY_OK
is true, empty declarations are OK (subject to all other
constraints); otherwise (old-style parameter declarations) they are
diagnosed. If START_ATTR_OK is true, the declaration specifiers
may start with attributes; otherwise they may not.
declaration:
declaration-specifiers init-declarator-list[opt] ;
function-definition:
declaration-specifiers[opt] declarator declaration-list[opt]
compound-statement
declaration-list:
declaration
declaration-list declaration
init-declarator-list:
init-declarator
init-declarator-list , init-declarator
init-declarator:
declarator simple-asm-expr[opt] attributes[opt]
declarator simple-asm-expr[opt] attributes[opt] = initializer
GNU extensions:
nested-function-definition:
declaration-specifiers declarator declaration-list[opt]
compound-statement
The simple-asm-expr and attributes are GNU extensions.
This function does not handle __extension__; that is handled in its
callers. ??? Following the old parser, __extension__ may start
external declarations, declarations in functions and declarations
at the start of "for" loops, but not old-style parameter
declarations.
C99 requires declaration specifiers in a function definition; the
absence is diagnosed through the diagnosis of implicit int. In GNU
C we also allow but diagnose declarations without declaration
specifiers, but only at top level (elsewhere they conflict with
other syntax).
OpenMP:
declaration:
threadprivate-directive */
static void
c_parser_declaration_or_fndef (c_parser *parser, bool fndef_ok, bool empty_ok,
bool nested, bool start_attr_ok)
{
struct c_declspecs *specs;
tree prefix_attrs;
tree all_prefix_attrs;
bool diagnosed_no_specs = false;
location_t here = c_parser_peek_token (parser)->location;
specs = build_null_declspecs ();
c_parser_declspecs (parser, specs, true, true, start_attr_ok);
if (parser->error)
{
c_parser_skip_to_end_of_block_or_statement (parser);
return;
}
if (nested && !specs->declspecs_seen_p)
{
c_parser_error (parser, "expected declaration specifiers");
c_parser_skip_to_end_of_block_or_statement (parser);
return;
}
finish_declspecs (specs);
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
if (empty_ok)
shadow_tag (specs);
else
{
shadow_tag_warned (specs, 1);
pedwarn (here, 0, "empty declaration");
}
c_parser_consume_token (parser);
return;
}
pending_xref_error ();
prefix_attrs = specs->attrs;
all_prefix_attrs = prefix_attrs;
specs->attrs = NULL_TREE;
while (true)
{
struct c_declarator *declarator;
bool dummy = false;
tree fnbody;
/* Declaring either one or more declarators (in which case we
should diagnose if there were no declaration specifiers) or a
function definition (in which case the diagnostic for
implicit int suffices). */
declarator = c_parser_declarator (parser, specs->type_seen_p,
C_DTR_NORMAL, &dummy);
if (declarator == NULL)
{
c_parser_skip_to_end_of_block_or_statement (parser);
return;
}
if (c_parser_next_token_is (parser, CPP_EQ)
|| c_parser_next_token_is (parser, CPP_COMMA)
|| c_parser_next_token_is (parser, CPP_SEMICOLON)
|| c_parser_next_token_is_keyword (parser, RID_ASM)
|| c_parser_next_token_is_keyword (parser, RID_ATTRIBUTE))
{
tree asm_name = NULL_TREE;
tree postfix_attrs = NULL_TREE;
if (!diagnosed_no_specs && !specs->declspecs_seen_p)
{
diagnosed_no_specs = true;
pedwarn (here, 0, "data definition has no type or storage class");
}
/* Having seen a data definition, there cannot now be a
function definition. */
fndef_ok = false;
if (c_parser_next_token_is_keyword (parser, RID_ASM))
asm_name = c_parser_simple_asm_expr (parser);
if (c_parser_next_token_is_keyword (parser, RID_ATTRIBUTE))
postfix_attrs = c_parser_attributes (parser);
if (c_parser_next_token_is (parser, CPP_EQ))
{
tree d;
struct c_expr init;
location_t init_loc;
c_parser_consume_token (parser);
/* The declaration of the variable is in effect while
its initializer is parsed. */
d = start_decl (declarator, specs, true,
chainon (postfix_attrs, all_prefix_attrs));
if (!d)
d = error_mark_node;
start_init (d, asm_name, global_bindings_p ());
init_loc = c_parser_peek_token (parser)->location;
init = c_parser_initializer (parser);
finish_init ();
if (d != error_mark_node)
{
maybe_warn_string_init (TREE_TYPE (d), init);
finish_decl (d, init_loc, init.value,
init.original_type, asm_name);
}
}
else
{
tree d = start_decl (declarator, specs, false,
chainon (postfix_attrs,
all_prefix_attrs));
if (d)
finish_decl (d, UNKNOWN_LOCATION, NULL_TREE,
NULL_TREE, asm_name);
}
if (c_parser_next_token_is (parser, CPP_COMMA))
{
c_parser_consume_token (parser);
if (c_parser_next_token_is_keyword (parser, RID_ATTRIBUTE))
all_prefix_attrs = chainon (c_parser_attributes (parser),
prefix_attrs);
else
all_prefix_attrs = prefix_attrs;
continue;
}
else if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
c_parser_consume_token (parser);
return;
}
else
{
c_parser_error (parser, "expected %<,%> or %<;%>");
c_parser_skip_to_end_of_block_or_statement (parser);
return;
}
}
else if (!fndef_ok)
{
c_parser_error (parser, "expected %<=%>, %<,%>, %<;%>, "
"%<asm%> or %<__attribute__%>");
c_parser_skip_to_end_of_block_or_statement (parser);
return;
}
/* Function definition (nested or otherwise). */
if (nested)
{
pedwarn (here, OPT_pedantic, "ISO C forbids nested functions");
c_push_function_context ();
}
if (!start_function (specs, declarator, all_prefix_attrs))
{
/* This can appear in many cases looking nothing like a
function definition, so we don't give a more specific
error suggesting there was one. */
c_parser_error (parser, "expected %<=%>, %<,%>, %<;%>, %<asm%> "
"or %<__attribute__%>");
if (nested)
c_pop_function_context ();
break;
}
/* Parse old-style parameter declarations. ??? Attributes are
not allowed to start declaration specifiers here because of a
syntax conflict between a function declaration with attribute
suffix and a function definition with an attribute prefix on
first old-style parameter declaration. Following the old
parser, they are not accepted on subsequent old-style
parameter declarations either. However, there is no
ambiguity after the first declaration, nor indeed on the
first as long as we don't allow postfix attributes after a
declarator with a nonempty identifier list in a definition;
and postfix attributes have never been accepted here in
function definitions either. */
while (c_parser_next_token_is_not (parser, CPP_EOF)
&& c_parser_next_token_is_not (parser, CPP_OPEN_BRACE))
c_parser_declaration_or_fndef (parser, false, false, true, false);
store_parm_decls ();
DECL_STRUCT_FUNCTION (current_function_decl)->function_start_locus
= c_parser_peek_token (parser)->location;
fnbody = c_parser_compound_statement (parser);
if (nested)
{
tree decl = current_function_decl;
/* Mark nested functions as needing static-chain initially.
lower_nested_functions will recompute it but the
DECL_STATIC_CHAIN flag is also used before that happens,
by initializer_constant_valid_p. See gcc.dg/nested-fn-2.c. */
DECL_STATIC_CHAIN (decl) = 1;
add_stmt (fnbody);
finish_function ();
c_pop_function_context ();
add_stmt (build_stmt (DECL_SOURCE_LOCATION (decl), DECL_EXPR, decl));
}
else
{
add_stmt (fnbody);
finish_function ();
}
break;
}
}
/* Parse an asm-definition (asm() outside a function body). This is a
GNU extension.
asm-definition:
simple-asm-expr ;
*/
static void
c_parser_asm_definition (c_parser *parser)
{
tree asm_str = c_parser_simple_asm_expr (parser);
if (asm_str)
cgraph_add_asm_node (asm_str);
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
}
/* Parse some declaration specifiers (possibly none) (C90 6.5, C99
6.7), adding them to SPECS (which may already include some).
Storage class specifiers are accepted iff SCSPEC_OK; type
specifiers are accepted iff TYPESPEC_OK; attributes are accepted at
the start iff START_ATTR_OK.
declaration-specifiers:
storage-class-specifier declaration-specifiers[opt]
type-specifier declaration-specifiers[opt]
type-qualifier declaration-specifiers[opt]
function-specifier declaration-specifiers[opt]
Function specifiers (inline) are from C99, and are currently
handled as storage class specifiers, as is __thread.
C90 6.5.1, C99 6.7.1:
storage-class-specifier:
typedef
extern
static
auto
register
C99 6.7.4:
function-specifier:
inline
C90 6.5.2, C99 6.7.2:
type-specifier:
void
char
short
int
long
float
double
signed
unsigned
_Bool
_Complex
[_Imaginary removed in C99 TC2]
struct-or-union-specifier
enum-specifier
typedef-name
(_Bool and _Complex are new in C99.)
C90 6.5.3, C99 6.7.3:
type-qualifier:
const
restrict
volatile
address-space-qualifier
(restrict is new in C99.)
GNU extensions:
declaration-specifiers:
attributes declaration-specifiers[opt]
type-qualifier:
address-space
address-space:
identifier recognized by the target
storage-class-specifier:
__thread
type-specifier:
typeof-specifier
_Decimal32
_Decimal64
_Decimal128
_Fract
_Accum
_Sat
(_Fract, _Accum, and _Sat are new from ISO/IEC DTR 18037:
http://www.open-std.org/jtc1/sc22/wg14/www/docs/n1169.pdf)
Objective-C:
type-specifier:
class-name objc-protocol-refs[opt]
typedef-name objc-protocol-refs
objc-protocol-refs
*/
static void
c_parser_declspecs (c_parser *parser, struct c_declspecs *specs,
bool scspec_ok, bool typespec_ok, bool start_attr_ok)
{
bool attrs_ok = start_attr_ok;
bool seen_type = specs->type_seen_p;
while (c_parser_next_token_is (parser, CPP_NAME)
|| c_parser_next_token_is (parser, CPP_KEYWORD)
|| (c_dialect_objc () && c_parser_next_token_is (parser, CPP_LESS)))
{
struct c_typespec t;
tree attrs;
location_t loc = c_parser_peek_token (parser)->location;
if (c_parser_next_token_is (parser, CPP_NAME))
{
tree value = c_parser_peek_token (parser)->value;
c_id_kind kind = c_parser_peek_token (parser)->id_kind;
if (kind == C_ID_ADDRSPACE)
{
addr_space_t as
= c_parser_peek_token (parser)->keyword - RID_FIRST_ADDR_SPACE;
declspecs_add_addrspace (specs, as);
c_parser_consume_token (parser);
attrs_ok = true;
continue;
}
/* This finishes the specifiers unless a type name is OK, it
is declared as a type name and a type name hasn't yet
been seen. */
if (!typespec_ok || seen_type
|| (kind != C_ID_TYPENAME && kind != C_ID_CLASSNAME))
break;
c_parser_consume_token (parser);
seen_type = true;
attrs_ok = true;
if (kind == C_ID_TYPENAME
&& (!c_dialect_objc ()
|| c_parser_next_token_is_not (parser, CPP_LESS)))
{
t.kind = ctsk_typedef;
/* For a typedef name, record the meaning, not the name.
In case of 'foo foo, bar;'. */
t.spec = lookup_name (value);
t.expr = NULL_TREE;
t.expr_const_operands = true;
}
else
{
tree proto = NULL_TREE;
gcc_assert (c_dialect_objc ());
t.kind = ctsk_objc;
if (c_parser_next_token_is (parser, CPP_LESS))
proto = c_parser_objc_protocol_refs (parser);
t.spec = objc_get_protocol_qualified_type (value, proto);
t.expr = NULL_TREE;
t.expr_const_operands = true;
}
declspecs_add_type (loc, specs, t);
continue;
}
if (c_parser_next_token_is (parser, CPP_LESS))
{
/* Make "<SomeProtocol>" equivalent to "id <SomeProtocol>" -
nisse@lysator.liu.se. */
tree proto;
gcc_assert (c_dialect_objc ());
if (!typespec_ok || seen_type)
break;
proto = c_parser_objc_protocol_refs (parser);
t.kind = ctsk_objc;
t.spec = objc_get_protocol_qualified_type (NULL_TREE, proto);
t.expr = NULL_TREE;
t.expr_const_operands = true;
declspecs_add_type (loc, specs, t);
continue;
}
gcc_assert (c_parser_next_token_is (parser, CPP_KEYWORD));
switch (c_parser_peek_token (parser)->keyword)
{
case RID_STATIC:
case RID_EXTERN:
case RID_REGISTER:
case RID_TYPEDEF:
case RID_INLINE:
case RID_AUTO:
case RID_THREAD:
if (!scspec_ok)
goto out;
attrs_ok = true;
/* TODO: Distinguish between function specifiers (inline)
and storage class specifiers, either here or in
declspecs_add_scspec. */
declspecs_add_scspec (specs, c_parser_peek_token (parser)->value);
c_parser_consume_token (parser);
break;
case RID_UNSIGNED:
case RID_LONG:
case RID_SHORT:
case RID_SIGNED:
case RID_COMPLEX:
case RID_INT:
case RID_CHAR:
case RID_FLOAT:
case RID_DOUBLE:
case RID_VOID:
case RID_DFLOAT32:
case RID_DFLOAT64:
case RID_DFLOAT128:
case RID_BOOL:
case RID_FRACT:
case RID_ACCUM:
case RID_SAT:
if (!typespec_ok)
goto out;
attrs_ok = true;
seen_type = true;
if (c_dialect_objc ())
parser->objc_need_raw_identifier = true;
t.kind = ctsk_resword;
t.spec = c_parser_peek_token (parser)->value;
t.expr = NULL_TREE;
t.expr_const_operands = true;
declspecs_add_type (loc, specs, t);
c_parser_consume_token (parser);
break;
case RID_ENUM:
if (!typespec_ok)
goto out;
attrs_ok = true;
seen_type = true;
t = c_parser_enum_specifier (parser);
declspecs_add_type (loc, specs, t);
break;
case RID_STRUCT:
case RID_UNION:
if (!typespec_ok)
goto out;
attrs_ok = true;
seen_type = true;
t = c_parser_struct_or_union_specifier (parser);
invoke_plugin_callbacks (PLUGIN_FINISH_TYPE, t.spec);
declspecs_add_type (loc, specs, t);
break;
case RID_TYPEOF:
/* ??? The old parser rejected typeof after other type
specifiers, but is a syntax error the best way of
handling this? */
if (!typespec_ok || seen_type)
goto out;
attrs_ok = true;
seen_type = true;
t = c_parser_typeof_specifier (parser);
declspecs_add_type (loc, specs, t);
break;
case RID_CONST:
case RID_VOLATILE:
case RID_RESTRICT:
attrs_ok = true;
declspecs_add_qual (specs, c_parser_peek_token (parser)->value);
c_parser_consume_token (parser);
break;
case RID_ATTRIBUTE:
if (!attrs_ok)
goto out;
attrs = c_parser_attributes (parser);
declspecs_add_attrs (specs, attrs);
break;
default:
goto out;
}
}
out: ;
}
/* Parse an enum specifier (C90 6.5.2.2, C99 6.7.2.2).
enum-specifier:
enum attributes[opt] identifier[opt] { enumerator-list } attributes[opt]
enum attributes[opt] identifier[opt] { enumerator-list , } attributes[opt]
enum attributes[opt] identifier
The form with trailing comma is new in C99. The forms with
attributes are GNU extensions. In GNU C, we accept any expression
without commas in the syntax (assignment expressions, not just
conditional expressions); assignment expressions will be diagnosed
as non-constant.
enumerator-list:
enumerator
enumerator-list , enumerator
enumerator:
enumeration-constant
enumeration-constant = constant-expression
*/
static struct c_typespec
c_parser_enum_specifier (c_parser *parser)
{
struct c_typespec ret;
tree attrs;
tree ident = NULL_TREE;
location_t enum_loc;
location_t ident_loc = UNKNOWN_LOCATION; /* Quiet warning. */
gcc_assert (c_parser_next_token_is_keyword (parser, RID_ENUM));
enum_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
attrs = c_parser_attributes (parser);
enum_loc = c_parser_peek_token (parser)->location;
/* Set the location in case we create a decl now. */
c_parser_set_source_position_from_token (c_parser_peek_token (parser));
if (c_parser_next_token_is (parser, CPP_NAME))
{
ident = c_parser_peek_token (parser)->value;
ident_loc = c_parser_peek_token (parser)->location;
enum_loc = ident_loc;
c_parser_consume_token (parser);
}
if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
{
/* Parse an enum definition. */
struct c_enum_contents the_enum;
tree type = start_enum (enum_loc, &the_enum, ident);
tree postfix_attrs;
/* We chain the enumerators in reverse order, then put them in
forward order at the end. */
tree values = NULL_TREE;
c_parser_consume_token (parser);
while (true)
{
tree enum_id;
tree enum_value;
tree enum_decl;
bool seen_comma;
c_token *token;
location_t comma_loc = UNKNOWN_LOCATION; /* Quiet warning. */
location_t value_loc;
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
c_parser_skip_until_found (parser, CPP_CLOSE_BRACE, NULL);
values = error_mark_node;
break;
}
token = c_parser_peek_token (parser);
enum_id = token->value;
/* Set the location in case we create a decl now. */
c_parser_set_source_position_from_token (token);
value_loc = token->location;
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_EQ))
{
c_parser_consume_token (parser);
value_loc = c_parser_peek_token (parser)->location;
enum_value = c_parser_expr_no_commas (parser, NULL).value;
}
else
enum_value = NULL_TREE;
enum_decl = build_enumerator (value_loc,
&the_enum, enum_id, enum_value);
TREE_CHAIN (enum_decl) = values;
values = enum_decl;
seen_comma = false;
if (c_parser_next_token_is (parser, CPP_COMMA))
{
comma_loc = c_parser_peek_token (parser)->location;
seen_comma = true;
c_parser_consume_token (parser);
}
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
{
if (seen_comma && !flag_isoc99)
pedwarn (comma_loc, OPT_pedantic, "comma at end of enumerator list");
c_parser_consume_token (parser);
break;
}
if (!seen_comma)
{
c_parser_error (parser, "expected %<,%> or %<}%>");
c_parser_skip_until_found (parser, CPP_CLOSE_BRACE, NULL);
values = error_mark_node;
break;
}
}
postfix_attrs = c_parser_attributes (parser);
ret.spec = finish_enum (type, nreverse (values),
chainon (attrs, postfix_attrs));
ret.kind = ctsk_tagdef;
ret.expr = NULL_TREE;
ret.expr_const_operands = true;
return ret;
}
else if (!ident)
{
c_parser_error (parser, "expected %<{%>");
ret.spec = error_mark_node;
ret.kind = ctsk_tagref;
ret.expr = NULL_TREE;
ret.expr_const_operands = true;
return ret;
}
ret = parser_xref_tag (ident_loc, ENUMERAL_TYPE, ident);
/* In ISO C, enumerated types can be referred to only if already
defined. */
if (pedantic && !COMPLETE_TYPE_P (ret.spec))
{
gcc_assert (ident);
pedwarn (enum_loc, OPT_pedantic,
"ISO C forbids forward references to %<enum%> types");
}
return ret;
}
/* Parse a struct or union specifier (C90 6.5.2.1, C99 6.7.2.1).
struct-or-union-specifier:
struct-or-union attributes[opt] identifier[opt]
{ struct-contents } attributes[opt]
struct-or-union attributes[opt] identifier
struct-contents:
struct-declaration-list
struct-declaration-list:
struct-declaration ;
struct-declaration-list struct-declaration ;
GNU extensions:
struct-contents:
empty
struct-declaration
struct-declaration-list struct-declaration
struct-declaration-list:
struct-declaration-list ;
;
(Note that in the syntax here, unlike that in ISO C, the semicolons
are included here rather than in struct-declaration, in order to
describe the syntax with extra semicolons and missing semicolon at
end.)
Objective-C:
struct-declaration-list:
@defs ( class-name )
(Note this does not include a trailing semicolon, but can be
followed by further declarations, and gets a pedwarn-if-pedantic
when followed by a semicolon.) */
static struct c_typespec
c_parser_struct_or_union_specifier (c_parser *parser)
{
struct c_typespec ret;
tree attrs;
tree ident = NULL_TREE;
location_t struct_loc;
location_t ident_loc = UNKNOWN_LOCATION;
enum tree_code code;
switch (c_parser_peek_token (parser)->keyword)
{
case RID_STRUCT:
code = RECORD_TYPE;
break;
case RID_UNION:
code = UNION_TYPE;
break;
default:
gcc_unreachable ();
}
struct_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
attrs = c_parser_attributes (parser);
/* Set the location in case we create a decl now. */
c_parser_set_source_position_from_token (c_parser_peek_token (parser));
if (c_parser_next_token_is (parser, CPP_NAME))
{
ident = c_parser_peek_token (parser)->value;
ident_loc = c_parser_peek_token (parser)->location;
struct_loc = ident_loc;
c_parser_consume_token (parser);
}
if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
{
/* Parse a struct or union definition. Start the scope of the
tag before parsing components. */
struct c_struct_parse_info *struct_info;
tree type = start_struct (struct_loc, code, ident, &struct_info);
tree postfix_attrs;
/* We chain the components in reverse order, then put them in
forward order at the end. Each struct-declaration may
declare multiple components (comma-separated), so we must use
chainon to join them, although when parsing each
struct-declaration we can use TREE_CHAIN directly.
The theory behind all this is that there will be more
semicolon separated fields than comma separated fields, and
so we'll be minimizing the number of node traversals required
by chainon. */
tree contents = NULL_TREE;
c_parser_consume_token (parser);
/* Handle the Objective-C @defs construct,
e.g. foo(sizeof(struct{ @defs(ClassName) }));. */
if (c_parser_next_token_is_keyword (parser, RID_AT_DEFS))
{
tree name;
gcc_assert (c_dialect_objc ());
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
goto end_at_defs;
if (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_token (parser)->id_kind == C_ID_CLASSNAME)
{
name = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
}
else
{
c_parser_error (parser, "expected class name");
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
goto end_at_defs;
}
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
contents = nreverse (objc_get_class_ivars (name));
}
end_at_defs:
/* Parse the struct-declarations and semicolons. Problems with
semicolons are diagnosed here; empty structures are diagnosed
elsewhere. */
while (true)
{
tree decls;
/* Parse any stray semicolon. */
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
pedwarn (c_parser_peek_token (parser)->location, OPT_pedantic,
"extra semicolon in struct or union specified");
c_parser_consume_token (parser);
continue;
}
/* Stop if at the end of the struct or union contents. */
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
{
c_parser_consume_token (parser);
break;
}
/* Accept #pragmas at struct scope. */
if (c_parser_next_token_is (parser, CPP_PRAGMA))
{
c_parser_pragma (parser, pragma_external);
continue;
}
/* Parse some comma-separated declarations, but not the
trailing semicolon if any. */
decls = c_parser_struct_declaration (parser);
contents = chainon (decls, contents);
/* If no semicolon follows, either we have a parse error or
are at the end of the struct or union and should
pedwarn. */
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
c_parser_consume_token (parser);
else
{
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
pedwarn (c_parser_peek_token (parser)->location, 0,
"no semicolon at end of struct or union");
else
{
c_parser_error (parser, "expected %<;%>");
c_parser_skip_until_found (parser, CPP_CLOSE_BRACE, NULL);
break;
}
}
}
postfix_attrs = c_parser_attributes (parser);
ret.spec = finish_struct (struct_loc, type, nreverse (contents),
chainon (attrs, postfix_attrs), struct_info);
ret.kind = ctsk_tagdef;
ret.expr = NULL_TREE;
ret.expr_const_operands = true;
return ret;
}
else if (!ident)
{
c_parser_error (parser, "expected %<{%>");
ret.spec = error_mark_node;
ret.kind = ctsk_tagref;
ret.expr = NULL_TREE;
ret.expr_const_operands = true;
return ret;
}
ret = parser_xref_tag (ident_loc, code, ident);
return ret;
}
/* Parse a struct-declaration (C90 6.5.2.1, C99 6.7.2.1), *without*
the trailing semicolon.
struct-declaration:
specifier-qualifier-list struct-declarator-list
specifier-qualifier-list:
type-specifier specifier-qualifier-list[opt]
type-qualifier specifier-qualifier-list[opt]
attributes specifier-qualifier-list[opt]
struct-declarator-list:
struct-declarator
struct-declarator-list , attributes[opt] struct-declarator
struct-declarator:
declarator attributes[opt]
declarator[opt] : constant-expression attributes[opt]
GNU extensions:
struct-declaration:
__extension__ struct-declaration
specifier-qualifier-list
Unlike the ISO C syntax, semicolons are handled elsewhere. The use
of attributes where shown is a GNU extension. In GNU C, we accept
any expression without commas in the syntax (assignment
expressions, not just conditional expressions); assignment
expressions will be diagnosed as non-constant. */
static tree
c_parser_struct_declaration (c_parser *parser)
{
struct c_declspecs *specs;
tree prefix_attrs;
tree all_prefix_attrs;
tree decls;
location_t decl_loc;
if (c_parser_next_token_is_keyword (parser, RID_EXTENSION))
{
int ext;
tree decl;
ext = disable_extension_diagnostics ();
c_parser_consume_token (parser);
decl = c_parser_struct_declaration (parser);
restore_extension_diagnostics (ext);
return decl;
}
specs = build_null_declspecs ();
decl_loc = c_parser_peek_token (parser)->location;
c_parser_declspecs (parser, specs, false, true, true);
if (parser->error)
return NULL_TREE;
if (!specs->declspecs_seen_p)
{
c_parser_error (parser, "expected specifier-qualifier-list");
return NULL_TREE;
}
finish_declspecs (specs);
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
tree ret;
if (!specs->type_seen_p)
{
pedwarn (decl_loc, OPT_pedantic,
"ISO C forbids member declarations with no members");
shadow_tag_warned (specs, pedantic);
ret = NULL_TREE;
}
else
{
/* Support for unnamed structs or unions as members of
structs or unions (which is [a] useful and [b] supports
MS P-SDK). */
tree attrs = NULL;
ret = grokfield (c_parser_peek_token (parser)->location,
build_id_declarator (NULL_TREE), specs,
NULL_TREE, &attrs);
if (ret)
decl_attributes (&ret, attrs, 0);
}
return ret;
}
pending_xref_error ();
prefix_attrs = specs->attrs;
all_prefix_attrs = prefix_attrs;
specs->attrs = NULL_TREE;
decls = NULL_TREE;
while (true)
{
/* Declaring one or more declarators or un-named bit-fields. */
struct c_declarator *declarator;
bool dummy = false;
if (c_parser_next_token_is (parser, CPP_COLON))
declarator = build_id_declarator (NULL_TREE);
else
declarator = c_parser_declarator (parser, specs->type_seen_p,
C_DTR_NORMAL, &dummy);
if (declarator == NULL)
{
c_parser_skip_to_end_of_block_or_statement (parser);
break;
}
if (c_parser_next_token_is (parser, CPP_COLON)
|| c_parser_next_token_is (parser, CPP_COMMA)
|| c_parser_next_token_is (parser, CPP_SEMICOLON)
|| c_parser_next_token_is (parser, CPP_CLOSE_BRACE)
|| c_parser_next_token_is_keyword (parser, RID_ATTRIBUTE))
{
tree postfix_attrs = NULL_TREE;
tree width = NULL_TREE;
tree d;
if (c_parser_next_token_is (parser, CPP_COLON))
{
c_parser_consume_token (parser);
width = c_parser_expr_no_commas (parser, NULL).value;
}
if (c_parser_next_token_is_keyword (parser, RID_ATTRIBUTE))
postfix_attrs = c_parser_attributes (parser);
d = grokfield (c_parser_peek_token (parser)->location,
declarator, specs, width, &all_prefix_attrs);
decl_attributes (&d, chainon (postfix_attrs,
all_prefix_attrs), 0);
TREE_CHAIN (d) = decls;
decls = d;
if (c_parser_next_token_is_keyword (parser, RID_ATTRIBUTE))
all_prefix_attrs = chainon (c_parser_attributes (parser),
prefix_attrs);
else
all_prefix_attrs = prefix_attrs;
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else if (c_parser_next_token_is (parser, CPP_SEMICOLON)
|| c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
{
/* Semicolon consumed in caller. */
break;
}
else
{
c_parser_error (parser, "expected %<,%>, %<;%> or %<}%>");
break;
}
}
else
{
c_parser_error (parser,
"expected %<:%>, %<,%>, %<;%>, %<}%> or "
"%<__attribute__%>");
break;
}
}
return decls;
}
/* Parse a typeof specifier (a GNU extension).
typeof-specifier:
typeof ( expression )
typeof ( type-name )
*/
static struct c_typespec
c_parser_typeof_specifier (c_parser *parser)
{
struct c_typespec ret;
ret.kind = ctsk_typeof;
ret.spec = error_mark_node;
ret.expr = NULL_TREE;
ret.expr_const_operands = true;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_TYPEOF));
c_parser_consume_token (parser);
c_inhibit_evaluation_warnings++;
in_typeof++;
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
c_inhibit_evaluation_warnings--;
in_typeof--;
return ret;
}
if (c_parser_next_token_starts_typename (parser))
{
struct c_type_name *type = c_parser_type_name (parser);
c_inhibit_evaluation_warnings--;
in_typeof--;
if (type != NULL)
{
ret.spec = groktypename (type, &ret.expr, &ret.expr_const_operands);
pop_maybe_used (variably_modified_type_p (ret.spec, NULL_TREE));
}
}
else
{
bool was_vm;
location_t here = c_parser_peek_token (parser)->location;
struct c_expr expr = c_parser_expression (parser);
c_inhibit_evaluation_warnings--;
in_typeof--;
if (TREE_CODE (expr.value) == COMPONENT_REF
&& DECL_C_BIT_FIELD (TREE_OPERAND (expr.value, 1)))
error_at (here, "%<typeof%> applied to a bit-field");
ret.spec = TREE_TYPE (expr.value);
was_vm = variably_modified_type_p (ret.spec, NULL_TREE);
/* This is returned with the type so that when the type is
evaluated, this can be evaluated. */
if (was_vm)
ret.expr = c_fully_fold (expr.value, false, &ret.expr_const_operands);
pop_maybe_used (was_vm);
}
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
return ret;
}
/* Parse a declarator, possibly an abstract declarator (C90 6.5.4,
6.5.5, C99 6.7.5, 6.7.6). If TYPE_SEEN_P then a typedef name may
be redeclared; otherwise it may not. KIND indicates which kind of
declarator is wanted. Returns a valid declarator except in the
case of a syntax error in which case NULL is returned. *SEEN_ID is
set to true if an identifier being declared is seen; this is used
to diagnose bad forms of abstract array declarators and to
determine whether an identifier list is syntactically permitted.
declarator:
pointer[opt] direct-declarator
direct-declarator:
identifier
( attributes[opt] declarator )
direct-declarator array-declarator
direct-declarator ( parameter-type-list )
direct-declarator ( identifier-list[opt] )
pointer:
* type-qualifier-list[opt]
* type-qualifier-list[opt] pointer
type-qualifier-list:
type-qualifier
attributes
type-qualifier-list type-qualifier
type-qualifier-list attributes
parameter-type-list:
parameter-list
parameter-list , ...
parameter-list:
parameter-declaration
parameter-list , parameter-declaration
parameter-declaration:
declaration-specifiers declarator attributes[opt]
declaration-specifiers abstract-declarator[opt] attributes[opt]
identifier-list:
identifier
identifier-list , identifier
abstract-declarator:
pointer
pointer[opt] direct-abstract-declarator
direct-abstract-declarator:
( attributes[opt] abstract-declarator )
direct-abstract-declarator[opt] array-declarator
direct-abstract-declarator[opt] ( parameter-type-list[opt] )
GNU extensions:
direct-declarator:
direct-declarator ( parameter-forward-declarations
parameter-type-list[opt] )
direct-abstract-declarator:
direct-abstract-declarator[opt] ( parameter-forward-declarations
parameter-type-list[opt] )
parameter-forward-declarations:
parameter-list ;
parameter-forward-declarations parameter-list ;
The uses of attributes shown above are GNU extensions.
Some forms of array declarator are not included in C99 in the
syntax for abstract declarators; these are disallowed elsewhere.
This may be a defect (DR#289).
This function also accepts an omitted abstract declarator as being
an abstract declarator, although not part of the formal syntax. */
static struct c_declarator *
c_parser_declarator (c_parser *parser, bool type_seen_p, c_dtr_syn kind,
bool *seen_id)
{
/* Parse any initial pointer part. */
if (c_parser_next_token_is (parser, CPP_MULT))
{
struct c_declspecs *quals_attrs = build_null_declspecs ();
struct c_declarator *inner;
c_parser_consume_token (parser);
c_parser_declspecs (parser, quals_attrs, false, false, true);
inner = c_parser_declarator (parser, type_seen_p, kind, seen_id);
if (inner == NULL)
return NULL;
else
return make_pointer_declarator (quals_attrs, inner);
}
/* Now we have a direct declarator, direct abstract declarator or
nothing (which counts as a direct abstract declarator here). */
return c_parser_direct_declarator (parser, type_seen_p, kind, seen_id);
}
/* Parse a direct declarator or direct abstract declarator; arguments
as c_parser_declarator. */
static struct c_declarator *
c_parser_direct_declarator (c_parser *parser, bool type_seen_p, c_dtr_syn kind,
bool *seen_id)
{
/* The direct declarator must start with an identifier (possibly
omitted) or a parenthesized declarator (possibly abstract). In
an ordinary declarator, initial parentheses must start a
parenthesized declarator. In an abstract declarator or parameter
declarator, they could start a parenthesized declarator or a
parameter list. To tell which, the open parenthesis and any
following attributes must be read. If a declaration specifier
follows, then it is a parameter list; if the specifier is a
typedef name, there might be an ambiguity about redeclaring it,
which is resolved in the direction of treating it as a typedef
name. If a close parenthesis follows, it is also an empty
parameter list, as the syntax does not permit empty abstract
declarators. Otherwise, it is a parenthesized declarator (in
which case the analysis may be repeated inside it, recursively).
??? There is an ambiguity in a parameter declaration "int
(__attribute__((foo)) x)", where x is not a typedef name: it
could be an abstract declarator for a function, or declare x with
parentheses. The proper resolution of this ambiguity needs
documenting. At present we follow an accident of the old
parser's implementation, whereby the first parameter must have
some declaration specifiers other than just attributes. Thus as
a parameter declaration it is treated as a parenthesized
parameter named x, and as an abstract declarator it is
rejected.
??? Also following the old parser, attributes inside an empty
parameter list are ignored, making it a list not yielding a
prototype, rather than giving an error or making it have one
parameter with implicit type int.
??? Also following the old parser, typedef names may be
redeclared in declarators, but not Objective-C class names. */
if (kind != C_DTR_ABSTRACT
&& c_parser_next_token_is (parser, CPP_NAME)
&& ((type_seen_p
&& c_parser_peek_token (parser)->id_kind == C_ID_TYPENAME)
|| c_parser_peek_token (parser)->id_kind == C_ID_ID))
{
struct c_declarator *inner
= build_id_declarator (c_parser_peek_token (parser)->value);
*seen_id = true;
inner->id_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
return c_parser_direct_declarator_inner (parser, *seen_id, inner);
}
if (kind != C_DTR_NORMAL
&& c_parser_next_token_is (parser, CPP_OPEN_SQUARE))
{
struct c_declarator *inner = build_id_declarator (NULL_TREE);
return c_parser_direct_declarator_inner (parser, *seen_id, inner);
}
/* Either we are at the end of an abstract declarator, or we have
parentheses. */
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN))
{
tree attrs;
struct c_declarator *inner;
c_parser_consume_token (parser);
attrs = c_parser_attributes (parser);
if (kind != C_DTR_NORMAL
&& (c_parser_next_token_starts_declspecs (parser)
|| c_parser_next_token_is (parser, CPP_CLOSE_PAREN)))
{
struct c_arg_info *args
= c_parser_parms_declarator (parser, kind == C_DTR_NORMAL,
attrs);
if (args == NULL)
return NULL;
else
{
inner
= build_function_declarator (args,
build_id_declarator (NULL_TREE));
return c_parser_direct_declarator_inner (parser, *seen_id,
inner);
}
}
/* A parenthesized declarator. */
inner = c_parser_declarator (parser, type_seen_p, kind, seen_id);
if (inner != NULL && attrs != NULL)
inner = build_attrs_declarator (attrs, inner);
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
{
c_parser_consume_token (parser);
if (inner == NULL)
return NULL;
else
return c_parser_direct_declarator_inner (parser, *seen_id, inner);
}
else
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
return NULL;
}
}
else
{
if (kind == C_DTR_NORMAL)
{
c_parser_error (parser, "expected identifier or %<(%>");
return NULL;
}
else
return build_id_declarator (NULL_TREE);
}
}
/* Parse part of a direct declarator or direct abstract declarator,
given that some (in INNER) has already been parsed; ID_PRESENT is
true if an identifier is present, false for an abstract
declarator. */
static struct c_declarator *
c_parser_direct_declarator_inner (c_parser *parser, bool id_present,
struct c_declarator *inner)
{
/* Parse a sequence of array declarators and parameter lists. */
if (c_parser_next_token_is (parser, CPP_OPEN_SQUARE))
{
location_t brace_loc = c_parser_peek_token (parser)->location;
struct c_declarator *declarator;
struct c_declspecs *quals_attrs = build_null_declspecs ();
bool static_seen;
bool star_seen;
tree dimen;
c_parser_consume_token (parser);
c_parser_declspecs (parser, quals_attrs, false, false, true);
static_seen = c_parser_next_token_is_keyword (parser, RID_STATIC);
if (static_seen)
c_parser_consume_token (parser);
if (static_seen && !quals_attrs->declspecs_seen_p)
c_parser_declspecs (parser, quals_attrs, false, false, true);
if (!quals_attrs->declspecs_seen_p)
quals_attrs = NULL;
/* If "static" is present, there must be an array dimension.
Otherwise, there may be a dimension, "*", or no
dimension. */
if (static_seen)
{
star_seen = false;
dimen = c_parser_expr_no_commas (parser, NULL).value;
}
else
{
if (c_parser_next_token_is (parser, CPP_CLOSE_SQUARE))
{
dimen = NULL_TREE;
star_seen = false;
}
else if (c_parser_next_token_is (parser, CPP_MULT))
{
if (c_parser_peek_2nd_token (parser)->type == CPP_CLOSE_SQUARE)
{
dimen = NULL_TREE;
star_seen = true;
c_parser_consume_token (parser);
}
else
{
star_seen = false;
dimen = c_parser_expr_no_commas (parser, NULL).value;
}
}
else
{
star_seen = false;
dimen = c_parser_expr_no_commas (parser, NULL).value;
}
}
if (c_parser_next_token_is (parser, CPP_CLOSE_SQUARE))
c_parser_consume_token (parser);
else
{
c_parser_skip_until_found (parser, CPP_CLOSE_SQUARE,
"expected %<]%>");
return NULL;
}
declarator = build_array_declarator (brace_loc, dimen, quals_attrs,
static_seen, star_seen);
if (declarator == NULL)
return NULL;
inner = set_array_declarator_inner (declarator, inner);
return c_parser_direct_declarator_inner (parser, id_present, inner);
}
else if (c_parser_next_token_is (parser, CPP_OPEN_PAREN))
{
tree attrs;
struct c_arg_info *args;
c_parser_consume_token (parser);
attrs = c_parser_attributes (parser);
args = c_parser_parms_declarator (parser, id_present, attrs);
if (args == NULL)
return NULL;
else
{
inner = build_function_declarator (args, inner);
return c_parser_direct_declarator_inner (parser, id_present, inner);
}
}
return inner;
}
/* Parse a parameter list or identifier list, including the closing
parenthesis but not the opening one. ATTRS are the attributes at
the start of the list. ID_LIST_OK is true if an identifier list is
acceptable; such a list must not have attributes at the start. */
static struct c_arg_info *
c_parser_parms_declarator (c_parser *parser, bool id_list_ok, tree attrs)
{
push_scope ();
declare_parm_level ();
/* If the list starts with an identifier, it is an identifier list.
Otherwise, it is either a prototype list or an empty list. */
if (id_list_ok
&& !attrs
&& c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_token (parser)->id_kind == C_ID_ID)
{
tree list = NULL_TREE, *nextp = &list;
while (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_token (parser)->id_kind == C_ID_ID)
{
*nextp = build_tree_list (NULL_TREE,
c_parser_peek_token (parser)->value);
nextp = & TREE_CHAIN (*nextp);
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_COMMA))
break;
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
{
c_parser_error (parser, "expected identifier");
break;
}
}
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
{
struct c_arg_info *ret = XOBNEW (&parser_obstack, struct c_arg_info);
ret->parms = 0;
ret->tags = 0;
ret->types = list;
ret->others = 0;
ret->pending_sizes = 0;
ret->had_vla_unspec = 0;
c_parser_consume_token (parser);
pop_scope ();
return ret;
}
else
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
pop_scope ();
return NULL;
}
}
else
{
struct c_arg_info *ret = c_parser_parms_list_declarator (parser, attrs);
pop_scope ();
return ret;
}
}
/* Parse a parameter list (possibly empty), including the closing
parenthesis but not the opening one. ATTRS are the attributes at
the start of the list. */
static struct c_arg_info *
c_parser_parms_list_declarator (c_parser *parser, tree attrs)
{
bool good_parm = false;
/* ??? Following the old parser, forward parameter declarations may
use abstract declarators, and if no real parameter declarations
follow the forward declarations then this is not diagnosed. Also
note as above that attributes are ignored as the only contents of
the parentheses, or as the only contents after forward
declarations. */
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
{
struct c_arg_info *ret = XOBNEW (&parser_obstack, struct c_arg_info);
ret->parms = 0;
ret->tags = 0;
ret->types = 0;
ret->others = 0;
ret->pending_sizes = 0;
ret->had_vla_unspec = 0;
c_parser_consume_token (parser);
return ret;
}
if (c_parser_next_token_is (parser, CPP_ELLIPSIS))
{
struct c_arg_info *ret = XOBNEW (&parser_obstack, struct c_arg_info);
ret->parms = 0;
ret->tags = 0;
ret->others = 0;
ret->pending_sizes = 0;
ret->had_vla_unspec = 0;
/* Suppress -Wold-style-definition for this case. */
ret->types = error_mark_node;
error_at (c_parser_peek_token (parser)->location,
"ISO C requires a named argument before %<...%>");
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
{
c_parser_consume_token (parser);
return ret;
}
else
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
return NULL;
}
}
/* Nonempty list of parameters, either terminated with semicolon
(forward declarations; recurse) or with close parenthesis (normal
function) or with ", ... )" (variadic function). */
while (true)
{
/* Parse a parameter. */
struct c_parm *parm = c_parser_parameter_declaration (parser, attrs);
attrs = NULL_TREE;
if (parm != NULL)
{
good_parm = true;
push_parm_decl (parm);
}
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
tree new_attrs;
c_parser_consume_token (parser);
mark_forward_parm_decls ();
new_attrs = c_parser_attributes (parser);
return c_parser_parms_list_declarator (parser, new_attrs);
}
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
{
c_parser_consume_token (parser);
if (good_parm)
return get_parm_info (false);
else
{
struct c_arg_info *ret
= XOBNEW (&parser_obstack, struct c_arg_info);
ret->parms = 0;
ret->tags = 0;
ret->types = 0;
ret->others = 0;
ret->pending_sizes = 0;
ret->had_vla_unspec = 0;
return ret;
}
}
if (!c_parser_require (parser, CPP_COMMA,
"expected %<;%>, %<,%> or %<)%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
get_pending_sizes ();
return NULL;
}
if (c_parser_next_token_is (parser, CPP_ELLIPSIS))
{
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
{
c_parser_consume_token (parser);
if (good_parm)
return get_parm_info (true);
else
{
struct c_arg_info *ret
= XOBNEW (&parser_obstack, struct c_arg_info);
ret->parms = 0;
ret->tags = 0;
ret->types = 0;
ret->others = 0;
ret->pending_sizes = 0;
ret->had_vla_unspec = 0;
return ret;
}
}
else
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
get_pending_sizes ();
return NULL;
}
}
}
}
/* Parse a parameter declaration. ATTRS are the attributes at the
start of the declaration if it is the first parameter. */
static struct c_parm *
c_parser_parameter_declaration (c_parser *parser, tree attrs)
{
struct c_declspecs *specs;
struct c_declarator *declarator;
tree prefix_attrs;
tree postfix_attrs = NULL_TREE;
bool dummy = false;
if (!c_parser_next_token_starts_declspecs (parser))
{
/* ??? In some Objective-C cases '...' isn't applicable so there
should be a different message. */
c_parser_error (parser,
"expected declaration specifiers or %<...%>");
c_parser_skip_to_end_of_parameter (parser);
return NULL;
}
specs = build_null_declspecs ();
if (attrs)
{
declspecs_add_attrs (specs, attrs);
attrs = NULL_TREE;
}
c_parser_declspecs (parser, specs, true, true, true);
finish_declspecs (specs);
pending_xref_error ();
prefix_attrs = specs->attrs;
specs->attrs = NULL_TREE;
declarator = c_parser_declarator (parser, specs->type_seen_p,
C_DTR_PARM, &dummy);
if (declarator == NULL)
{
c_parser_skip_until_found (parser, CPP_COMMA, NULL);
return NULL;
}
if (c_parser_next_token_is_keyword (parser, RID_ATTRIBUTE))
postfix_attrs = c_parser_attributes (parser);
return build_c_parm (specs, chainon (postfix_attrs, prefix_attrs),
declarator);
}
/* Parse a string literal in an asm expression. It should not be
translated, and wide string literals are an error although
permitted by the syntax. This is a GNU extension.
asm-string-literal:
string-literal
??? At present, following the old parser, the caller needs to have
set lex_untranslated_string to 1. It would be better to follow the
C++ parser rather than using this kludge. */
static tree
c_parser_asm_string_literal (c_parser *parser)
{
tree str;
if (c_parser_next_token_is (parser, CPP_STRING))
{
str = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
}
else if (c_parser_next_token_is (parser, CPP_WSTRING))
{
error_at (c_parser_peek_token (parser)->location,
"wide string literal in %<asm%>");
str = build_string (1, "");
c_parser_consume_token (parser);
}
else
{
c_parser_error (parser, "expected string literal");
str = NULL_TREE;
}
return str;
}
/* Parse a simple asm expression. This is used in restricted
contexts, where a full expression with inputs and outputs does not
make sense. This is a GNU extension.
simple-asm-expr:
asm ( asm-string-literal )
*/
static tree
c_parser_simple_asm_expr (c_parser *parser)
{
tree str;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_ASM));
/* ??? Follow the C++ parser rather than using the
lex_untranslated_string kludge. */
parser->lex_untranslated_string = true;
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
parser->lex_untranslated_string = false;
return NULL_TREE;
}
str = c_parser_asm_string_literal (parser);
parser->lex_untranslated_string = false;
if (!c_parser_require (parser, CPP_CLOSE_PAREN, "expected %<)%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
return NULL_TREE;
}
return str;
}
/* Parse (possibly empty) attributes. This is a GNU extension.
attributes:
empty
attributes attribute
attribute:
__attribute__ ( ( attribute-list ) )
attribute-list:
attrib
attribute_list , attrib
attrib:
empty
any-word
any-word ( identifier )
any-word ( identifier , nonempty-expr-list )
any-word ( expr-list )
where the "identifier" must not be declared as a type, and
"any-word" may be any identifier (including one declared as a
type), a reserved word storage class specifier, type specifier or
type qualifier. ??? This still leaves out most reserved keywords
(following the old parser), shouldn't we include them, and why not
allow identifiers declared as types to start the arguments? */
static tree
c_parser_attributes (c_parser *parser)
{
tree attrs = NULL_TREE;
while (c_parser_next_token_is_keyword (parser, RID_ATTRIBUTE))
{
/* ??? Follow the C++ parser rather than using the
lex_untranslated_string kludge. */
parser->lex_untranslated_string = true;
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
parser->lex_untranslated_string = false;
return attrs;
}
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
parser->lex_untranslated_string = false;
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
return attrs;
}
/* Parse the attribute list. */
while (c_parser_next_token_is (parser, CPP_COMMA)
|| c_parser_next_token_is (parser, CPP_NAME)
|| c_parser_next_token_is (parser, CPP_KEYWORD))
{
tree attr, attr_name, attr_args;
VEC(tree,gc) *expr_list;
if (c_parser_next_token_is (parser, CPP_COMMA))
{
c_parser_consume_token (parser);
continue;
}
if (c_parser_next_token_is (parser, CPP_KEYWORD))
{
/* ??? See comment above about what keywords are
accepted here. */
bool ok;
switch (c_parser_peek_token (parser)->keyword)
{
case RID_STATIC:
case RID_UNSIGNED:
case RID_LONG:
case RID_CONST:
case RID_EXTERN:
case RID_REGISTER:
case RID_TYPEDEF:
case RID_SHORT:
case RID_INLINE:
case RID_VOLATILE:
case RID_SIGNED:
case RID_AUTO:
case RID_RESTRICT:
case RID_COMPLEX:
case RID_THREAD:
case RID_INT:
case RID_CHAR:
case RID_FLOAT:
case RID_DOUBLE:
case RID_VOID:
case RID_DFLOAT32:
case RID_DFLOAT64:
case RID_DFLOAT128:
case RID_BOOL:
case RID_FRACT:
case RID_ACCUM:
case RID_SAT:
ok = true;
break;
default:
ok = false;
break;
}
if (!ok)
break;
/* Accept __attribute__((__const)) as __attribute__((const))
etc. */
attr_name
= ridpointers[(int) c_parser_peek_token (parser)->keyword];
}
else
attr_name = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_OPEN_PAREN))
{
attr = build_tree_list (attr_name, NULL_TREE);
attrs = chainon (attrs, attr);
continue;
}
c_parser_consume_token (parser);
/* Parse the attribute contents. If they start with an
identifier which is followed by a comma or close
parenthesis, then the arguments start with that
identifier; otherwise they are an expression list. */
if (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_token (parser)->id_kind == C_ID_ID
&& ((c_parser_peek_2nd_token (parser)->type == CPP_COMMA)
|| (c_parser_peek_2nd_token (parser)->type
== CPP_CLOSE_PAREN)))
{
tree arg1 = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
attr_args = build_tree_list (NULL_TREE, arg1);
else
{
tree tree_list;
c_parser_consume_token (parser);
expr_list = c_parser_expr_list (parser, false, true, NULL);
tree_list = build_tree_list_vec (expr_list);
attr_args = tree_cons (NULL_TREE, arg1, tree_list);
release_tree_vector (expr_list);
}
}
else
{
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
attr_args = NULL_TREE;
else
{
expr_list = c_parser_expr_list (parser, false, true, NULL);
attr_args = build_tree_list_vec (expr_list);
release_tree_vector (expr_list);
}
}
attr = build_tree_list (attr_name, attr_args);
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
c_parser_consume_token (parser);
else
{
parser->lex_untranslated_string = false;
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
return attrs;
}
attrs = chainon (attrs, attr);
}
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
c_parser_consume_token (parser);
else
{
parser->lex_untranslated_string = false;
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
return attrs;
}
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
c_parser_consume_token (parser);
else
{
parser->lex_untranslated_string = false;
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
return attrs;
}
parser->lex_untranslated_string = false;
}
return attrs;
}
/* Parse a type name (C90 6.5.5, C99 6.7.6).
type-name:
specifier-qualifier-list abstract-declarator[opt]
*/
static struct c_type_name *
c_parser_type_name (c_parser *parser)
{
struct c_declspecs *specs = build_null_declspecs ();
struct c_declarator *declarator;
struct c_type_name *ret;
bool dummy = false;
c_parser_declspecs (parser, specs, false, true, true);
if (!specs->declspecs_seen_p)
{
c_parser_error (parser, "expected specifier-qualifier-list");
return NULL;
}
pending_xref_error ();
finish_declspecs (specs);
declarator = c_parser_declarator (parser, specs->type_seen_p,
C_DTR_ABSTRACT, &dummy);
if (declarator == NULL)
return NULL;
ret = XOBNEW (&parser_obstack, struct c_type_name);
ret->specs = specs;
ret->declarator = declarator;
return ret;
}
/* Parse an initializer (C90 6.5.7, C99 6.7.8).
initializer:
assignment-expression
{ initializer-list }
{ initializer-list , }
initializer-list:
designation[opt] initializer
initializer-list , designation[opt] initializer
designation:
designator-list =
designator-list:
designator
designator-list designator
designator:
array-designator
. identifier
array-designator:
[ constant-expression ]
GNU extensions:
initializer:
{ }
designation:
array-designator
identifier :
array-designator:
[ constant-expression ... constant-expression ]
Any expression without commas is accepted in the syntax for the
constant-expressions, with non-constant expressions rejected later.
This function is only used for top-level initializers; for nested
ones, see c_parser_initval. */
static struct c_expr
c_parser_initializer (c_parser *parser)
{
if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
return c_parser_braced_init (parser, NULL_TREE, false);
else
{
struct c_expr ret;
location_t loc = c_parser_peek_token (parser)->location;
ret = c_parser_expr_no_commas (parser, NULL);
if (TREE_CODE (ret.value) != STRING_CST
&& TREE_CODE (ret.value) != COMPOUND_LITERAL_EXPR)
ret = default_function_array_conversion (loc, ret);
return ret;
}
}
/* Parse a braced initializer list. TYPE is the type specified for a
compound literal, and NULL_TREE for other initializers and for
nested braced lists. NESTED_P is true for nested braced lists,
false for the list of a compound literal or the list that is the
top-level initializer in a declaration. */
static struct c_expr
c_parser_braced_init (c_parser *parser, tree type, bool nested_p)
{
location_t brace_loc = c_parser_peek_token (parser)->location;
gcc_assert (c_parser_next_token_is (parser, CPP_OPEN_BRACE));
c_parser_consume_token (parser);
if (nested_p)
push_init_level (0);
else
really_start_incremental_init (type);
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
{
pedwarn (brace_loc, OPT_pedantic, "ISO C forbids empty initializer braces");
}
else
{
/* Parse a non-empty initializer list, possibly with a trailing
comma. */
while (true)
{
c_parser_initelt (parser);
if (parser->error)
break;
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else
break;
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
break;
}
}
if (c_parser_next_token_is_not (parser, CPP_CLOSE_BRACE))
{
struct c_expr ret;
ret.value = error_mark_node;
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
c_parser_skip_until_found (parser, CPP_CLOSE_BRACE, "expected %<}%>");
pop_init_level (0);
return ret;
}
c_parser_consume_token (parser);
return pop_init_level (0);
}
/* Parse a nested initializer, including designators. */
static void
c_parser_initelt (c_parser *parser)
{
/* Parse any designator or designator list. A single array
designator may have the subsequent "=" omitted in GNU C, but a
longer list or a structure member designator may not. */
if (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_2nd_token (parser)->type == CPP_COLON)
{
/* Old-style structure member designator. */
set_init_label (c_parser_peek_token (parser)->value);
/* Use the colon as the error location. */
pedwarn (c_parser_peek_2nd_token (parser)->location, OPT_pedantic,
"obsolete use of designated initializer with %<:%>");
c_parser_consume_token (parser);
c_parser_consume_token (parser);
}
else
{
/* des_seen is 0 if there have been no designators, 1 if there
has been a single array designator and 2 otherwise. */
int des_seen = 0;
/* Location of a designator. */
location_t des_loc = UNKNOWN_LOCATION; /* Quiet warning. */
while (c_parser_next_token_is (parser, CPP_OPEN_SQUARE)
|| c_parser_next_token_is (parser, CPP_DOT))
{
int des_prev = des_seen;
if (!des_seen)
des_loc = c_parser_peek_token (parser)->location;
if (des_seen < 2)
des_seen++;
if (c_parser_next_token_is (parser, CPP_DOT))
{
des_seen = 2;
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_NAME))
{
set_init_label (c_parser_peek_token (parser)->value);
c_parser_consume_token (parser);
}
else
{
struct c_expr init;
init.value = error_mark_node;
init.original_code = ERROR_MARK;
init.original_type = NULL;
c_parser_error (parser, "expected identifier");
c_parser_skip_until_found (parser, CPP_COMMA, NULL);
process_init_element (init, false);
return;
}
}
else
{
tree first, second;
location_t ellipsis_loc = UNKNOWN_LOCATION; /* Quiet warning. */
/* ??? Following the old parser, [ objc-receiver
objc-message-args ] is accepted as an initializer,
being distinguished from a designator by what follows
the first assignment expression inside the square
brackets, but after a first array designator a
subsequent square bracket is for Objective-C taken to
start an expression, using the obsolete form of
designated initializer without '=', rather than
possibly being a second level of designation: in LALR
terms, the '[' is shifted rather than reducing
designator to designator-list. */
if (des_prev == 1 && c_dialect_objc ())
{
des_seen = des_prev;
break;
}
if (des_prev == 0 && c_dialect_objc ())
{
/* This might be an array designator or an
Objective-C message expression. If the former,
continue parsing here; if the latter, parse the
remainder of the initializer given the starting
primary-expression. ??? It might make sense to
distinguish when des_prev == 1 as well; see
previous comment. */
tree rec, args;
struct c_expr mexpr;
c_parser_consume_token (parser);
if (c_parser_peek_token (parser)->type == CPP_NAME
&& ((c_parser_peek_token (parser)->id_kind
== C_ID_TYPENAME)
|| (c_parser_peek_token (parser)->id_kind
== C_ID_CLASSNAME)))
{
/* Type name receiver. */
tree id = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
rec = objc_get_class_reference (id);
goto parse_message_args;
}
first = c_parser_expr_no_commas (parser, NULL).value;
if (c_parser_next_token_is (parser, CPP_ELLIPSIS)
|| c_parser_next_token_is (parser, CPP_CLOSE_SQUARE))
goto array_desig_after_first;
/* Expression receiver. So far only one part
without commas has been parsed; there might be
more of the expression. */
rec = first;
while (c_parser_next_token_is (parser, CPP_COMMA))
{
struct c_expr next;
location_t comma_loc, exp_loc;
comma_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
next = c_parser_expr_no_commas (parser, NULL);
next = default_function_array_conversion (exp_loc, next);
rec = build_compound_expr (comma_loc, rec, next.value);
}
parse_message_args:
/* Now parse the objc-message-args. */
args = c_parser_objc_message_args (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_SQUARE,
"expected %<]%>");
mexpr.value
= objc_build_message_expr (build_tree_list (rec, args));
mexpr.original_code = ERROR_MARK;
mexpr.original_type = NULL;
/* Now parse and process the remainder of the
initializer, starting with this message
expression as a primary-expression. */
c_parser_initval (parser, &mexpr);
return;
}
c_parser_consume_token (parser);
first = c_parser_expr_no_commas (parser, NULL).value;
array_desig_after_first:
if (c_parser_next_token_is (parser, CPP_ELLIPSIS))
{
ellipsis_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
second = c_parser_expr_no_commas (parser, NULL).value;
}
else
second = NULL_TREE;
if (c_parser_next_token_is (parser, CPP_CLOSE_SQUARE))
{
c_parser_consume_token (parser);
set_init_index (first, second);
if (second)
pedwarn (ellipsis_loc, OPT_pedantic,
"ISO C forbids specifying range of elements to initialize");
}
else
c_parser_skip_until_found (parser, CPP_CLOSE_SQUARE,
"expected %<]%>");
}
}
if (des_seen >= 1)
{
if (c_parser_next_token_is (parser, CPP_EQ))
{
if (!flag_isoc99)
pedwarn (des_loc, OPT_pedantic,
"ISO C90 forbids specifying subobject to initialize");
c_parser_consume_token (parser);
}
else
{
if (des_seen == 1)
pedwarn (c_parser_peek_token (parser)->location, OPT_pedantic,
"obsolete use of designated initializer without %<=%>");
else
{
struct c_expr init;
init.value = error_mark_node;
init.original_code = ERROR_MARK;
init.original_type = NULL;
c_parser_error (parser, "expected %<=%>");
c_parser_skip_until_found (parser, CPP_COMMA, NULL);
process_init_element (init, false);
return;
}
}
}
}
c_parser_initval (parser, NULL);
}
/* Parse a nested initializer; as c_parser_initializer but parses
initializers within braced lists, after any designators have been
applied. If AFTER is not NULL then it is an Objective-C message
expression which is the primary-expression starting the
initializer. */
static void
c_parser_initval (c_parser *parser, struct c_expr *after)
{
struct c_expr init;
gcc_assert (!after || c_dialect_objc ());
if (c_parser_next_token_is (parser, CPP_OPEN_BRACE) && !after)
init = c_parser_braced_init (parser, NULL_TREE, true);
else
{
location_t loc = c_parser_peek_token (parser)->location;
init = c_parser_expr_no_commas (parser, after);
if (init.value != NULL_TREE
&& TREE_CODE (init.value) != STRING_CST
&& TREE_CODE (init.value) != COMPOUND_LITERAL_EXPR)
init = default_function_array_conversion (loc, init);
}
process_init_element (init, false);
}
/* Parse a compound statement (possibly a function body) (C90 6.6.2,
C99 6.8.2).
compound-statement:
{ block-item-list[opt] }
{ label-declarations block-item-list }
block-item-list:
block-item
block-item-list block-item
block-item:
nested-declaration
statement
nested-declaration:
declaration
GNU extensions:
compound-statement:
{ label-declarations block-item-list }
nested-declaration:
__extension__ nested-declaration
nested-function-definition
label-declarations:
label-declaration
label-declarations label-declaration
label-declaration:
__label__ identifier-list ;
Allowing the mixing of declarations and code is new in C99. The
GNU syntax also permits (not shown above) labels at the end of
compound statements, which yield an error. We don't allow labels
on declarations; this might seem like a natural extension, but
there would be a conflict between attributes on the label and
prefix attributes on the declaration. ??? The syntax follows the
old parser in requiring something after label declarations.
Although they are erroneous if the labels declared aren't defined,
is it useful for the syntax to be this way?
OpenMP:
block-item:
openmp-directive
openmp-directive:
barrier-directive
flush-directive */
static tree
c_parser_compound_statement (c_parser *parser)
{
tree stmt;
location_t brace_loc;
brace_loc = c_parser_peek_token (parser)->location;
if (!c_parser_require (parser, CPP_OPEN_BRACE, "expected %<{%>"))
{
/* Ensure a scope is entered and left anyway to avoid confusion
if we have just prepared to enter a function body. */
stmt = c_begin_compound_stmt (true);
c_end_compound_stmt (brace_loc, stmt, true);
return error_mark_node;
}
stmt = c_begin_compound_stmt (true);
c_parser_compound_statement_nostart (parser);
return c_end_compound_stmt (brace_loc, stmt, true);
}
/* Parse a compound statement except for the opening brace. This is
used for parsing both compound statements and statement expressions
(which follow different paths to handling the opening). */
static void
c_parser_compound_statement_nostart (c_parser *parser)
{
bool last_stmt = false;
bool last_label = false;
bool save_valid_for_pragma = valid_location_for_stdc_pragma_p ();
location_t label_loc = UNKNOWN_LOCATION; /* Quiet warning. */
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
{
c_parser_consume_token (parser);
return;
}
mark_valid_location_for_stdc_pragma (true);
if (c_parser_next_token_is_keyword (parser, RID_LABEL))
{
/* Read zero or more forward-declarations for labels that nested
functions can jump to. */
mark_valid_location_for_stdc_pragma (false);
while (c_parser_next_token_is_keyword (parser, RID_LABEL))
{
label_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
/* Any identifiers, including those declared as type names,
are OK here. */
while (true)
{
tree label;
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
break;
}
label
= declare_label (c_parser_peek_token (parser)->value);
C_DECLARED_LABEL_FLAG (label) = 1;
add_stmt (build_stmt (label_loc, DECL_EXPR, label));
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else
break;
}
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
}
pedwarn (label_loc, OPT_pedantic, "ISO C forbids label declarations");
}
/* We must now have at least one statement, label or declaration. */
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
{
mark_valid_location_for_stdc_pragma (save_valid_for_pragma);
c_parser_error (parser, "expected declaration or statement");
c_parser_consume_token (parser);
return;
}
while (c_parser_next_token_is_not (parser, CPP_CLOSE_BRACE))
{
location_t loc = c_parser_peek_token (parser)->location;
if (c_parser_next_token_is_keyword (parser, RID_CASE)
|| c_parser_next_token_is_keyword (parser, RID_DEFAULT)
|| (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_2nd_token (parser)->type == CPP_COLON))
{
if (c_parser_next_token_is_keyword (parser, RID_CASE))
label_loc = c_parser_peek_2nd_token (parser)->location;
else
label_loc = c_parser_peek_token (parser)->location;
last_label = true;
last_stmt = false;
mark_valid_location_for_stdc_pragma (false);
c_parser_label (parser);
}
else if (!last_label
&& c_parser_next_token_starts_declspecs (parser))
{
last_label = false;
mark_valid_location_for_stdc_pragma (false);
c_parser_declaration_or_fndef (parser, true, true, true, true);
if (last_stmt)
pedwarn_c90 (loc,
(pedantic && !flag_isoc99)
? OPT_pedantic
: OPT_Wdeclaration_after_statement,
"ISO C90 forbids mixed declarations and code");
last_stmt = false;
}
else if (!last_label
&& c_parser_next_token_is_keyword (parser, RID_EXTENSION))
{
/* __extension__ can start a declaration, but is also an
unary operator that can start an expression. Consume all
but the last of a possible series of __extension__ to
determine which. */
while (c_parser_peek_2nd_token (parser)->type == CPP_KEYWORD
&& (c_parser_peek_2nd_token (parser)->keyword
== RID_EXTENSION))
c_parser_consume_token (parser);
if (c_token_starts_declspecs (c_parser_peek_2nd_token (parser)))
{
int ext;
ext = disable_extension_diagnostics ();
c_parser_consume_token (parser);
last_label = false;
mark_valid_location_for_stdc_pragma (false);
c_parser_declaration_or_fndef (parser, true, true, true, true);
/* Following the old parser, __extension__ does not
disable this diagnostic. */
restore_extension_diagnostics (ext);
if (last_stmt)
pedwarn_c90 (loc, (pedantic && !flag_isoc99)
? OPT_pedantic
: OPT_Wdeclaration_after_statement,
"ISO C90 forbids mixed declarations and code");
last_stmt = false;
}
else
goto statement;
}
else if (c_parser_next_token_is (parser, CPP_PRAGMA))
{
/* External pragmas, and some omp pragmas, are not associated
with regular c code, and so are not to be considered statements
syntactically. This ensures that the user doesn't put them
places that would turn into syntax errors if the directive
were ignored. */
if (c_parser_pragma (parser, pragma_compound))
last_label = false, last_stmt = true;
}
else if (c_parser_next_token_is (parser, CPP_EOF))
{
mark_valid_location_for_stdc_pragma (save_valid_for_pragma);
c_parser_error (parser, "expected declaration or statement");
return;
}
else if (c_parser_next_token_is_keyword (parser, RID_ELSE))
{
if (parser->in_if_block)
{
mark_valid_location_for_stdc_pragma (save_valid_for_pragma);
error_at (loc, """expected %<}%> before %<else%>");
return;
}
else
{
error_at (loc, "%<else%> without a previous %<if%>");
c_parser_consume_token (parser);
continue;
}
}
else
{
statement:
last_label = false;
last_stmt = true;
mark_valid_location_for_stdc_pragma (false);
c_parser_statement_after_labels (parser);
}
parser->error = false;
}
if (last_label)
error_at (label_loc, "label at end of compound statement");
c_parser_consume_token (parser);
/* Restore the value we started with. */
mark_valid_location_for_stdc_pragma (save_valid_for_pragma);
}
/* Parse a label (C90 6.6.1, C99 6.8.1).
label:
identifier : attributes[opt]
case constant-expression :
default :
GNU extensions:
label:
case constant-expression ... constant-expression :
The use of attributes on labels is a GNU extension. The syntax in
GNU C accepts any expressions without commas, non-constant
expressions being rejected later. */
static void
c_parser_label (c_parser *parser)
{
location_t loc1 = c_parser_peek_token (parser)->location;
tree label = NULL_TREE;
if (c_parser_next_token_is_keyword (parser, RID_CASE))
{
tree exp1, exp2;
c_parser_consume_token (parser);
exp1 = c_parser_expr_no_commas (parser, NULL).value;
if (c_parser_next_token_is (parser, CPP_COLON))
{
c_parser_consume_token (parser);
label = do_case (loc1, exp1, NULL_TREE);
}
else if (c_parser_next_token_is (parser, CPP_ELLIPSIS))
{
c_parser_consume_token (parser);
exp2 = c_parser_expr_no_commas (parser, NULL).value;
if (c_parser_require (parser, CPP_COLON, "expected %<:%>"))
label = do_case (loc1, exp1, exp2);
}
else
c_parser_error (parser, "expected %<:%> or %<...%>");
}
else if (c_parser_next_token_is_keyword (parser, RID_DEFAULT))
{
c_parser_consume_token (parser);
if (c_parser_require (parser, CPP_COLON, "expected %<:%>"))
label = do_case (loc1, NULL_TREE, NULL_TREE);
}
else
{
tree name = c_parser_peek_token (parser)->value;
tree tlab;
tree attrs;
location_t loc2 = c_parser_peek_token (parser)->location;
gcc_assert (c_parser_next_token_is (parser, CPP_NAME));
c_parser_consume_token (parser);
gcc_assert (c_parser_next_token_is (parser, CPP_COLON));
c_parser_consume_token (parser);
attrs = c_parser_attributes (parser);
tlab = define_label (loc2, name);
if (tlab)
{
decl_attributes (&tlab, attrs, 0);
label = add_stmt (build_stmt (loc1, LABEL_EXPR, tlab));
}
}
if (label)
{
if (c_parser_next_token_starts_declspecs (parser)
&& !(c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_2nd_token (parser)->type == CPP_COLON))
{
error_at (c_parser_peek_token (parser)->location,
"a label can only be part of a statement and "
"a declaration is not a statement");
c_parser_declaration_or_fndef (parser, /*fndef_ok*/ false,
/*nested*/ true, /*empty_ok*/ false,
/*start_attr_ok*/ true);
}
}
}
/* Parse a statement (C90 6.6, C99 6.8).
statement:
labeled-statement
compound-statement
expression-statement
selection-statement
iteration-statement
jump-statement
labeled-statement:
label statement
expression-statement:
expression[opt] ;
selection-statement:
if-statement
switch-statement
iteration-statement:
while-statement
do-statement
for-statement
jump-statement:
goto identifier ;
continue ;
break ;
return expression[opt] ;
GNU extensions:
statement:
asm-statement
jump-statement:
goto * expression ;
Objective-C:
statement:
objc-throw-statement
objc-try-catch-statement
objc-synchronized-statement
objc-throw-statement:
@throw expression ;
@throw ;
OpenMP:
statement:
openmp-construct
openmp-construct:
parallel-construct
for-construct
sections-construct
single-construct
parallel-for-construct
parallel-sections-construct
master-construct
critical-construct
atomic-construct
ordered-construct
parallel-construct:
parallel-directive structured-block
for-construct:
for-directive iteration-statement
sections-construct:
sections-directive section-scope
single-construct:
single-directive structured-block
parallel-for-construct:
parallel-for-directive iteration-statement
parallel-sections-construct:
parallel-sections-directive section-scope
master-construct:
master-directive structured-block
critical-construct:
critical-directive structured-block
atomic-construct:
atomic-directive expression-statement
ordered-construct:
ordered-directive structured-block */
static void
c_parser_statement (c_parser *parser)
{
while (c_parser_next_token_is_keyword (parser, RID_CASE)
|| c_parser_next_token_is_keyword (parser, RID_DEFAULT)
|| (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_2nd_token (parser)->type == CPP_COLON))
c_parser_label (parser);
c_parser_statement_after_labels (parser);
}
/* Parse a statement, other than a labeled statement. */
static void
c_parser_statement_after_labels (c_parser *parser)
{
location_t loc = c_parser_peek_token (parser)->location;
tree stmt = NULL_TREE;
bool in_if_block = parser->in_if_block;
parser->in_if_block = false;
switch (c_parser_peek_token (parser)->type)
{
case CPP_OPEN_BRACE:
add_stmt (c_parser_compound_statement (parser));
break;
case CPP_KEYWORD:
switch (c_parser_peek_token (parser)->keyword)
{
case RID_IF:
c_parser_if_statement (parser);
break;
case RID_SWITCH:
c_parser_switch_statement (parser);
break;
case RID_WHILE:
c_parser_while_statement (parser);
break;
case RID_DO:
c_parser_do_statement (parser);
break;
case RID_FOR:
c_parser_for_statement (parser);
break;
case RID_GOTO:
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_NAME))
{
stmt = c_finish_goto_label (loc,
c_parser_peek_token (parser)->value);
c_parser_consume_token (parser);
}
else if (c_parser_next_token_is (parser, CPP_MULT))
{
c_parser_consume_token (parser);
stmt = c_finish_goto_ptr (loc,
c_parser_expression (parser).value);
}
else
c_parser_error (parser, "expected identifier or %<*%>");
goto expect_semicolon;
case RID_CONTINUE:
c_parser_consume_token (parser);
stmt = c_finish_bc_stmt (loc, &c_cont_label, false);
goto expect_semicolon;
case RID_BREAK:
c_parser_consume_token (parser);
stmt = c_finish_bc_stmt (loc, &c_break_label, true);
goto expect_semicolon;
case RID_RETURN:
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
stmt = c_finish_return (loc, NULL_TREE, NULL_TREE);
c_parser_consume_token (parser);
}
else
{
struct c_expr expr = c_parser_expression_conv (parser);
stmt = c_finish_return (loc, expr.value, expr.original_type);
goto expect_semicolon;
}
break;
case RID_ASM:
stmt = c_parser_asm_statement (parser);
break;
case RID_THROW:
gcc_assert (c_dialect_objc ());
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
stmt = objc_build_throw_stmt (loc, NULL_TREE);
c_parser_consume_token (parser);
}
else
{
tree expr = c_parser_expression (parser).value;
expr = c_fully_fold (expr, false, NULL);
stmt = objc_build_throw_stmt (loc, expr);
goto expect_semicolon;
}
break;
case RID_TRY:
gcc_assert (c_dialect_objc ());
c_parser_objc_try_catch_statement (parser);
break;
case RID_AT_SYNCHRONIZED:
gcc_assert (c_dialect_objc ());
c_parser_objc_synchronized_statement (parser);
break;
default:
goto expr_stmt;
}
break;
case CPP_SEMICOLON:
c_parser_consume_token (parser);
break;
case CPP_CLOSE_PAREN:
case CPP_CLOSE_SQUARE:
/* Avoid infinite loop in error recovery:
c_parser_skip_until_found stops at a closing nesting
delimiter without consuming it, but here we need to consume
it to proceed further. */
c_parser_error (parser, "expected statement");
c_parser_consume_token (parser);
break;
case CPP_PRAGMA:
c_parser_pragma (parser, pragma_stmt);
break;
default:
expr_stmt:
stmt = c_finish_expr_stmt (loc, c_parser_expression_conv (parser).value);
expect_semicolon:
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
break;
}
/* Two cases cannot and do not have line numbers associated: If stmt
is degenerate, such as "2;", then stmt is an INTEGER_CST, which
cannot hold line numbers. But that's OK because the statement
will either be changed to a MODIFY_EXPR during gimplification of
the statement expr, or discarded. If stmt was compound, but
without new variables, we will have skipped the creation of a
BIND and will have a bare STATEMENT_LIST. But that's OK because
(recursively) all of the component statements should already have
line numbers assigned. ??? Can we discard no-op statements
earlier? */
if (CAN_HAVE_LOCATION_P (stmt)
&& EXPR_LOCATION (stmt) == UNKNOWN_LOCATION)
SET_EXPR_LOCATION (stmt, loc);
parser->in_if_block = in_if_block;
}
/* Parse the condition from an if, do, while or for statements. */
static tree
c_parser_condition (c_parser *parser)
{
location_t loc = c_parser_peek_token (parser)->location;
tree cond;
cond = c_parser_expression_conv (parser).value;
cond = c_objc_common_truthvalue_conversion (loc, cond);
cond = c_fully_fold (cond, false, NULL);
if (warn_sequence_point)
verify_sequence_points (cond);
return cond;
}
/* Parse a parenthesized condition from an if, do or while statement.
condition:
( expression )
*/
static tree
c_parser_paren_condition (c_parser *parser)
{
tree cond;
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
return error_mark_node;
cond = c_parser_condition (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
return cond;
}
/* Parse a statement which is a block in C99. */
static tree
c_parser_c99_block_statement (c_parser *parser)
{
tree block = c_begin_compound_stmt (flag_isoc99);
location_t loc = c_parser_peek_token (parser)->location;
c_parser_statement (parser);
return c_end_compound_stmt (loc, block, flag_isoc99);
}
/* Parse the body of an if statement. This is just parsing a
statement but (a) it is a block in C99, (b) we track whether the
body is an if statement for the sake of -Wparentheses warnings, (c)
we handle an empty body specially for the sake of -Wempty-body
warnings, and (d) we call parser_compound_statement directly
because c_parser_statement_after_labels resets
parser->in_if_block. */
static tree
c_parser_if_body (c_parser *parser, bool *if_p)
{
tree block = c_begin_compound_stmt (flag_isoc99);
location_t body_loc = c_parser_peek_token (parser)->location;
while (c_parser_next_token_is_keyword (parser, RID_CASE)
|| c_parser_next_token_is_keyword (parser, RID_DEFAULT)
|| (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_2nd_token (parser)->type == CPP_COLON))
c_parser_label (parser);
*if_p = c_parser_next_token_is_keyword (parser, RID_IF);
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
location_t loc = c_parser_peek_token (parser)->location;
add_stmt (build_empty_stmt (loc));
c_parser_consume_token (parser);
if (!c_parser_next_token_is_keyword (parser, RID_ELSE))
warning_at (loc, OPT_Wempty_body,
"suggest braces around empty body in an %<if%> statement");
}
else if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
add_stmt (c_parser_compound_statement (parser));
else
c_parser_statement_after_labels (parser);
return c_end_compound_stmt (body_loc, block, flag_isoc99);
}
/* Parse the else body of an if statement. This is just parsing a
statement but (a) it is a block in C99, (b) we handle an empty body
specially for the sake of -Wempty-body warnings. */
static tree
c_parser_else_body (c_parser *parser)
{
location_t else_loc = c_parser_peek_token (parser)->location;
tree block = c_begin_compound_stmt (flag_isoc99);
while (c_parser_next_token_is_keyword (parser, RID_CASE)
|| c_parser_next_token_is_keyword (parser, RID_DEFAULT)
|| (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_2nd_token (parser)->type == CPP_COLON))
c_parser_label (parser);
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
location_t loc = c_parser_peek_token (parser)->location;
warning_at (loc,
OPT_Wempty_body,
"suggest braces around empty body in an %<else%> statement");
add_stmt (build_empty_stmt (loc));
c_parser_consume_token (parser);
}
else
c_parser_statement_after_labels (parser);
return c_end_compound_stmt (else_loc, block, flag_isoc99);
}
/* Parse an if statement (C90 6.6.4, C99 6.8.4).
if-statement:
if ( expression ) statement
if ( expression ) statement else statement
*/
static void
c_parser_if_statement (c_parser *parser)
{
tree block;
location_t loc;
tree cond;
bool first_if = false;
tree first_body, second_body;
bool in_if_block;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_IF));
c_parser_consume_token (parser);
block = c_begin_compound_stmt (flag_isoc99);
loc = c_parser_peek_token (parser)->location;
cond = c_parser_paren_condition (parser);
in_if_block = parser->in_if_block;
parser->in_if_block = true;
first_body = c_parser_if_body (parser, &first_if);
parser->in_if_block = in_if_block;
if (c_parser_next_token_is_keyword (parser, RID_ELSE))
{
c_parser_consume_token (parser);
second_body = c_parser_else_body (parser);
}
else
second_body = NULL_TREE;
c_finish_if_stmt (loc, cond, first_body, second_body, first_if);
add_stmt (c_end_compound_stmt (loc, block, flag_isoc99));
}
/* Parse a switch statement (C90 6.6.4, C99 6.8.4).
switch-statement:
switch (expression) statement
*/
static void
c_parser_switch_statement (c_parser *parser)
{
tree block, expr, body, save_break;
location_t switch_loc = c_parser_peek_token (parser)->location;
location_t switch_cond_loc;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_SWITCH));
c_parser_consume_token (parser);
block = c_begin_compound_stmt (flag_isoc99);
if (c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
switch_cond_loc = c_parser_peek_token (parser)->location;
expr = c_parser_expression (parser).value;
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
else
{
switch_cond_loc = UNKNOWN_LOCATION;
expr = error_mark_node;
}
c_start_case (switch_loc, switch_cond_loc, expr);
save_break = c_break_label;
c_break_label = NULL_TREE;
body = c_parser_c99_block_statement (parser);
c_finish_case (body);
if (c_break_label)
{
location_t here = c_parser_peek_token (parser)->location;
tree t = build1 (LABEL_EXPR, void_type_node, c_break_label);
SET_EXPR_LOCATION (t, here);
add_stmt (t);
}
c_break_label = save_break;
add_stmt (c_end_compound_stmt (switch_loc, block, flag_isoc99));
}
/* Parse a while statement (C90 6.6.5, C99 6.8.5).
while-statement:
while (expression) statement
*/
static void
c_parser_while_statement (c_parser *parser)
{
tree block, cond, body, save_break, save_cont;
location_t loc;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_WHILE));
c_parser_consume_token (parser);
block = c_begin_compound_stmt (flag_isoc99);
loc = c_parser_peek_token (parser)->location;
cond = c_parser_paren_condition (parser);
save_break = c_break_label;
c_break_label = NULL_TREE;
save_cont = c_cont_label;
c_cont_label = NULL_TREE;
body = c_parser_c99_block_statement (parser);
c_finish_loop (loc, cond, NULL, body, c_break_label, c_cont_label, true);
add_stmt (c_end_compound_stmt (loc, block, flag_isoc99));
c_break_label = save_break;
c_cont_label = save_cont;
}
/* Parse a do statement (C90 6.6.5, C99 6.8.5).
do-statement:
do statement while ( expression ) ;
*/
static void
c_parser_do_statement (c_parser *parser)
{
tree block, cond, body, save_break, save_cont, new_break, new_cont;
location_t loc;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_DO));
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
warning_at (c_parser_peek_token (parser)->location,
OPT_Wempty_body,
"suggest braces around empty body in %<do%> statement");
block = c_begin_compound_stmt (flag_isoc99);
loc = c_parser_peek_token (parser)->location;
save_break = c_break_label;
c_break_label = NULL_TREE;
save_cont = c_cont_label;
c_cont_label = NULL_TREE;
body = c_parser_c99_block_statement (parser);
c_parser_require_keyword (parser, RID_WHILE, "expected %<while%>");
new_break = c_break_label;
c_break_label = save_break;
new_cont = c_cont_label;
c_cont_label = save_cont;
cond = c_parser_paren_condition (parser);
if (!c_parser_require (parser, CPP_SEMICOLON, "expected %<;%>"))
c_parser_skip_to_end_of_block_or_statement (parser);
c_finish_loop (loc, cond, NULL, body, new_break, new_cont, false);
add_stmt (c_end_compound_stmt (loc, block, flag_isoc99));
}
/* Parse a for statement (C90 6.6.5, C99 6.8.5).
for-statement:
for ( expression[opt] ; expression[opt] ; expression[opt] ) statement
for ( nested-declaration expression[opt] ; expression[opt] ) statement
The form with a declaration is new in C99.
??? In accordance with the old parser, the declaration may be a
nested function, which is then rejected in check_for_loop_decls,
but does it make any sense for this to be included in the grammar?
Note in particular that the nested function does not include a
trailing ';', whereas the "declaration" production includes one.
Also, can we reject bad declarations earlier and cheaper than
check_for_loop_decls? */
static void
c_parser_for_statement (c_parser *parser)
{
tree block, cond, incr, save_break, save_cont, body;
location_t loc = c_parser_peek_token (parser)->location;
location_t for_loc = c_parser_peek_token (parser)->location;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_FOR));
c_parser_consume_token (parser);
block = c_begin_compound_stmt (flag_isoc99);
if (c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
/* Parse the initialization declaration or expression. */
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
c_parser_consume_token (parser);
c_finish_expr_stmt (loc, NULL_TREE);
}
else if (c_parser_next_token_starts_declspecs (parser))
{
c_parser_declaration_or_fndef (parser, true, true, true, true);
check_for_loop_decls (for_loc);
}
else if (c_parser_next_token_is_keyword (parser, RID_EXTENSION))
{
/* __extension__ can start a declaration, but is also an
unary operator that can start an expression. Consume all
but the last of a possible series of __extension__ to
determine which. */
while (c_parser_peek_2nd_token (parser)->type == CPP_KEYWORD
&& (c_parser_peek_2nd_token (parser)->keyword
== RID_EXTENSION))
c_parser_consume_token (parser);
if (c_token_starts_declspecs (c_parser_peek_2nd_token (parser)))
{
int ext;
ext = disable_extension_diagnostics ();
c_parser_consume_token (parser);
c_parser_declaration_or_fndef (parser, true, true, true, true);
restore_extension_diagnostics (ext);
check_for_loop_decls (for_loc);
}
else
goto init_expr;
}
else
{
init_expr:
c_finish_expr_stmt (loc, c_parser_expression (parser).value);
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
}
/* Parse the loop condition. */
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
c_parser_consume_token (parser);
cond = NULL_TREE;
}
else
{
cond = c_parser_condition (parser);
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
}
/* Parse the increment expression. */
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
incr = c_process_expr_stmt (loc, NULL_TREE);
else
incr = c_process_expr_stmt (loc, c_parser_expression (parser).value);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
else
{
cond = error_mark_node;
incr = error_mark_node;
}
save_break = c_break_label;
c_break_label = NULL_TREE;
save_cont = c_cont_label;
c_cont_label = NULL_TREE;
body = c_parser_c99_block_statement (parser);
c_finish_loop (loc, cond, incr, body, c_break_label, c_cont_label, true);
add_stmt (c_end_compound_stmt (loc, block, flag_isoc99));
c_break_label = save_break;
c_cont_label = save_cont;
}
/* Parse an asm statement, a GNU extension. This is a full-blown asm
statement with inputs, outputs, clobbers, and volatile tag
allowed.
asm-statement:
asm type-qualifier[opt] ( asm-argument ) ;
asm type-qualifier[opt] goto ( asm-goto-argument ) ;
asm-argument:
asm-string-literal
asm-string-literal : asm-operands[opt]
asm-string-literal : asm-operands[opt] : asm-operands[opt]
asm-string-literal : asm-operands[opt] : asm-operands[opt] : asm-clobbers[opt]
asm-goto-argument:
asm-string-literal : : asm-operands[opt] : asm-clobbers[opt] \
: asm-goto-operands
Qualifiers other than volatile are accepted in the syntax but
warned for. */
static tree
c_parser_asm_statement (c_parser *parser)
{
tree quals, str, outputs, inputs, clobbers, labels, ret;
bool simple, is_goto;
location_t asm_loc = c_parser_peek_token (parser)->location;
int section, nsections;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_ASM));
c_parser_consume_token (parser);
if (c_parser_next_token_is_keyword (parser, RID_VOLATILE))
{
quals = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
}
else if (c_parser_next_token_is_keyword (parser, RID_CONST)
|| c_parser_next_token_is_keyword (parser, RID_RESTRICT))
{
warning_at (c_parser_peek_token (parser)->location,
0,
"%E qualifier ignored on asm",
c_parser_peek_token (parser)->value);
quals = NULL_TREE;
c_parser_consume_token (parser);
}
else
quals = NULL_TREE;
is_goto = false;
if (c_parser_next_token_is_keyword (parser, RID_GOTO))
{
c_parser_consume_token (parser);
is_goto = true;
}
/* ??? Follow the C++ parser rather than using the
lex_untranslated_string kludge. */
parser->lex_untranslated_string = true;
ret = NULL;
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
goto error;
str = c_parser_asm_string_literal (parser);
if (str == NULL_TREE)
goto error_close_paren;
simple = true;
outputs = NULL_TREE;
inputs = NULL_TREE;
clobbers = NULL_TREE;
labels = NULL_TREE;
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN) && !is_goto)
goto done_asm;
/* Parse each colon-delimited section of operands. */
nsections = 3 + is_goto;
for (section = 0; section < nsections; ++section)
{
if (!c_parser_require (parser, CPP_COLON,
is_goto
? "expected %<:%>"
: "expected %<:%> or %<)%>"))
goto error_close_paren;
/* Once past any colon, we're no longer a simple asm. */
simple = false;
if ((!c_parser_next_token_is (parser, CPP_COLON)
&& !c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
|| section == 3)
switch (section)
{
case 0:
/* For asm goto, we don't allow output operands, but reserve
the slot for a future extension that does allow them. */
if (!is_goto)
outputs = c_parser_asm_operands (parser, false);
break;
case 1:
inputs = c_parser_asm_operands (parser, true);
break;
case 2:
clobbers = c_parser_asm_clobbers (parser);
break;
case 3:
labels = c_parser_asm_goto_operands (parser);
break;
default:
gcc_unreachable ();
}
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN) && !is_goto)
goto done_asm;
}
done_asm:
if (!c_parser_require (parser, CPP_CLOSE_PAREN, "expected %<)%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
goto error;
}
if (!c_parser_require (parser, CPP_SEMICOLON, "expected %<;%>"))
c_parser_skip_to_end_of_block_or_statement (parser);
ret = build_asm_stmt (quals, build_asm_expr (asm_loc, str, outputs, inputs,
clobbers, labels, simple));
error:
parser->lex_untranslated_string = false;
return ret;
error_close_paren:
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
goto error;
}
/* Parse asm operands, a GNU extension. If CONVERT_P (for inputs but
not outputs), apply the default conversion of functions and arrays
to pointers.
asm-operands:
asm-operand
asm-operands , asm-operand
asm-operand:
asm-string-literal ( expression )
[ identifier ] asm-string-literal ( expression )
*/
static tree
c_parser_asm_operands (c_parser *parser, bool convert_p)
{
tree list = NULL_TREE;
location_t loc;
while (true)
{
tree name, str;
struct c_expr expr;
if (c_parser_next_token_is (parser, CPP_OPEN_SQUARE))
{
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_NAME))
{
tree id = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
name = build_string (IDENTIFIER_LENGTH (id),
IDENTIFIER_POINTER (id));
}
else
{
c_parser_error (parser, "expected identifier");
c_parser_skip_until_found (parser, CPP_CLOSE_SQUARE, NULL);
return NULL_TREE;
}
c_parser_skip_until_found (parser, CPP_CLOSE_SQUARE,
"expected %<]%>");
}
else
name = NULL_TREE;
str = c_parser_asm_string_literal (parser);
if (str == NULL_TREE)
return NULL_TREE;
parser->lex_untranslated_string = false;
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
parser->lex_untranslated_string = true;
return NULL_TREE;
}
loc = c_parser_peek_token (parser)->location;
expr = c_parser_expression (parser);
if (convert_p)
expr = default_function_array_conversion (loc, expr);
expr.value = c_fully_fold (expr.value, false, NULL);
parser->lex_untranslated_string = true;
if (!c_parser_require (parser, CPP_CLOSE_PAREN, "expected %<)%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
return NULL_TREE;
}
list = chainon (list, build_tree_list (build_tree_list (name, str),
expr.value));
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else
break;
}
return list;
}
/* Parse asm clobbers, a GNU extension.
asm-clobbers:
asm-string-literal
asm-clobbers , asm-string-literal
*/
static tree
c_parser_asm_clobbers (c_parser *parser)
{
tree list = NULL_TREE;
while (true)
{
tree str = c_parser_asm_string_literal (parser);
if (str)
list = tree_cons (NULL_TREE, str, list);
else
return NULL_TREE;
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else
break;
}
return list;
}
/* Parse asm goto labels, a GNU extension.
asm-goto-operands:
identifier
asm-goto-operands , identifier
*/
static tree
c_parser_asm_goto_operands (c_parser *parser)
{
tree list = NULL_TREE;
while (true)
{
tree name, label;
if (c_parser_next_token_is (parser, CPP_NAME))
{
c_token *tok = c_parser_peek_token (parser);
name = tok->value;
label = lookup_label_for_goto (tok->location, name);
c_parser_consume_token (parser);
TREE_USED (label) = 1;
}
else
{
c_parser_error (parser, "expected identifier");
return NULL_TREE;
}
name = build_string (IDENTIFIER_LENGTH (name),
IDENTIFIER_POINTER (name));
list = tree_cons (name, label, list);
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else
return nreverse (list);
}
}
/* Parse an expression other than a compound expression; that is, an
assignment expression (C90 6.3.16, C99 6.5.16). If AFTER is not
NULL then it is an Objective-C message expression which is the
primary-expression starting the expression as an initializer.
assignment-expression:
conditional-expression
unary-expression assignment-operator assignment-expression
assignment-operator: one of
= *= /= %= += -= <<= >>= &= ^= |=
In GNU C we accept any conditional expression on the LHS and
diagnose the invalid lvalue rather than producing a syntax
error. */
static struct c_expr
c_parser_expr_no_commas (c_parser *parser, struct c_expr *after)
{
struct c_expr lhs, rhs, ret;
enum tree_code code;
location_t op_location, exp_location;
gcc_assert (!after || c_dialect_objc ());
lhs = c_parser_conditional_expression (parser, after);
op_location = c_parser_peek_token (parser)->location;
switch (c_parser_peek_token (parser)->type)
{
case CPP_EQ:
code = NOP_EXPR;
break;
case CPP_MULT_EQ:
code = MULT_EXPR;
break;
case CPP_DIV_EQ:
code = TRUNC_DIV_EXPR;
break;
case CPP_MOD_EQ:
code = TRUNC_MOD_EXPR;
break;
case CPP_PLUS_EQ:
code = PLUS_EXPR;
break;
case CPP_MINUS_EQ:
code = MINUS_EXPR;
break;
case CPP_LSHIFT_EQ:
code = LSHIFT_EXPR;
break;
case CPP_RSHIFT_EQ:
code = RSHIFT_EXPR;
break;
case CPP_AND_EQ:
code = BIT_AND_EXPR;
break;
case CPP_XOR_EQ:
code = BIT_XOR_EXPR;
break;
case CPP_OR_EQ:
code = BIT_IOR_EXPR;
break;
default:
return lhs;
}
c_parser_consume_token (parser);
exp_location = c_parser_peek_token (parser)->location;
rhs = c_parser_expr_no_commas (parser, NULL);
rhs = default_function_array_conversion (exp_location, rhs);
ret.value = build_modify_expr (op_location, lhs.value, lhs.original_type,
code, exp_location, rhs.value,
rhs.original_type);
if (code == NOP_EXPR)
ret.original_code = MODIFY_EXPR;
else
{
TREE_NO_WARNING (ret.value) = 1;
ret.original_code = ERROR_MARK;
}
ret.original_type = NULL;
return ret;
}
/* Parse a conditional expression (C90 6.3.15, C99 6.5.15). If AFTER
is not NULL then it is an Objective-C message expression which is
the primary-expression starting the expression as an initializer.
conditional-expression:
logical-OR-expression
logical-OR-expression ? expression : conditional-expression
GNU extensions:
conditional-expression:
logical-OR-expression ? : conditional-expression
*/
static struct c_expr
c_parser_conditional_expression (c_parser *parser, struct c_expr *after)
{
struct c_expr cond, exp1, exp2, ret;
location_t cond_loc, colon_loc;
gcc_assert (!after || c_dialect_objc ());
cond = c_parser_binary_expression (parser, after);
if (c_parser_next_token_is_not (parser, CPP_QUERY))
return cond;
cond_loc = c_parser_peek_token (parser)->location;
cond = default_function_array_conversion (cond_loc, cond);
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_COLON))
{
tree eptype = NULL_TREE;
pedwarn (c_parser_peek_token (parser)->location, OPT_pedantic,
"ISO C forbids omitting the middle term of a ?: expression");
if (TREE_CODE (cond.value) == EXCESS_PRECISION_EXPR)
{
eptype = TREE_TYPE (cond.value);
cond.value = TREE_OPERAND (cond.value, 0);
}
/* Make sure first operand is calculated only once. */
exp1.value = c_save_expr (default_conversion (cond.value));
if (eptype)
exp1.value = build1 (EXCESS_PRECISION_EXPR, eptype, exp1.value);
exp1.original_type = NULL;
cond.value = c_objc_common_truthvalue_conversion (cond_loc, exp1.value);
c_inhibit_evaluation_warnings += cond.value == truthvalue_true_node;
}
else
{
cond.value
= c_objc_common_truthvalue_conversion
(cond_loc, default_conversion (cond.value));
c_inhibit_evaluation_warnings += cond.value == truthvalue_false_node;
exp1 = c_parser_expression_conv (parser);
c_inhibit_evaluation_warnings +=
((cond.value == truthvalue_true_node)
- (cond.value == truthvalue_false_node));
}
colon_loc = c_parser_peek_token (parser)->location;
if (!c_parser_require (parser, CPP_COLON, "expected %<:%>"))
{
c_inhibit_evaluation_warnings -= cond.value == truthvalue_true_node;
ret.value = error_mark_node;
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
return ret;
}
{
location_t exp2_loc = c_parser_peek_token (parser)->location;
exp2 = c_parser_conditional_expression (parser, NULL);
exp2 = default_function_array_conversion (exp2_loc, exp2);
}
c_inhibit_evaluation_warnings -= cond.value == truthvalue_true_node;
ret.value = build_conditional_expr (colon_loc, cond.value,
cond.original_code == C_MAYBE_CONST_EXPR,
exp1.value, exp1.original_type,
exp2.value, exp2.original_type);
ret.original_code = ERROR_MARK;
if (exp1.value == error_mark_node || exp2.value == error_mark_node)
ret.original_type = NULL;
else
{
tree t1, t2;
/* If both sides are enum type, the default conversion will have
made the type of the result be an integer type. We want to
remember the enum types we started with. */
t1 = exp1.original_type ? exp1.original_type : TREE_TYPE (exp1.value);
t2 = exp2.original_type ? exp2.original_type : TREE_TYPE (exp2.value);
ret.original_type = ((t1 != error_mark_node
&& t2 != error_mark_node
&& (TYPE_MAIN_VARIANT (t1)
== TYPE_MAIN_VARIANT (t2)))
? t1
: NULL);
}
return ret;
}
/* Parse a binary expression; that is, a logical-OR-expression (C90
6.3.5-6.3.14, C99 6.5.5-6.5.14). If AFTER is not NULL then it is
an Objective-C message expression which is the primary-expression
starting the expression as an initializer.
multiplicative-expression:
cast-expression
multiplicative-expression * cast-expression
multiplicative-expression / cast-expression
multiplicative-expression % cast-expression
additive-expression:
multiplicative-expression
additive-expression + multiplicative-expression
additive-expression - multiplicative-expression
shift-expression:
additive-expression
shift-expression << additive-expression
shift-expression >> additive-expression
relational-expression:
shift-expression
relational-expression < shift-expression
relational-expression > shift-expression
relational-expression <= shift-expression
relational-expression >= shift-expression
equality-expression:
relational-expression
equality-expression == relational-expression
equality-expression != relational-expression
AND-expression:
equality-expression
AND-expression & equality-expression
exclusive-OR-expression:
AND-expression
exclusive-OR-expression ^ AND-expression
inclusive-OR-expression:
exclusive-OR-expression
inclusive-OR-expression | exclusive-OR-expression
logical-AND-expression:
inclusive-OR-expression
logical-AND-expression && inclusive-OR-expression
logical-OR-expression:
logical-AND-expression
logical-OR-expression || logical-AND-expression
*/
static struct c_expr
c_parser_binary_expression (c_parser *parser, struct c_expr *after)
{
/* A binary expression is parsed using operator-precedence parsing,
with the operands being cast expressions. All the binary
operators are left-associative. Thus a binary expression is of
form:
E0 op1 E1 op2 E2 ...
which we represent on a stack. On the stack, the precedence
levels are strictly increasing. When a new operator is
encountered of higher precedence than that at the top of the
stack, it is pushed; its LHS is the top expression, and its RHS
is everything parsed until it is popped. When a new operator is
encountered with precedence less than or equal to that at the top
of the stack, triples E[i-1] op[i] E[i] are popped and replaced
by the result of the operation until the operator at the top of
the stack has lower precedence than the new operator or there is
only one element on the stack; then the top expression is the LHS
of the new operator. In the case of logical AND and OR
expressions, we also need to adjust c_inhibit_evaluation_warnings
as appropriate when the operators are pushed and popped. */
/* The precedence levels, where 0 is a dummy lowest level used for
the bottom of the stack. */
enum prec {
PREC_NONE,
PREC_LOGOR,
PREC_LOGAND,
PREC_BITOR,
PREC_BITXOR,
PREC_BITAND,
PREC_EQ,
PREC_REL,
PREC_SHIFT,
PREC_ADD,
PREC_MULT,
NUM_PRECS
};
struct {
/* The expression at this stack level. */
struct c_expr expr;
/* The precedence of the operator on its left, PREC_NONE at the
bottom of the stack. */
enum prec prec;
/* The operation on its left. */
enum tree_code op;
/* The source location of this operation. */
location_t loc;
} stack[NUM_PRECS];
int sp;
/* Location of the binary operator. */
location_t binary_loc = UNKNOWN_LOCATION; /* Quiet warning. */
#define POP \
do { \
switch (stack[sp].op) \
{ \
case TRUTH_ANDIF_EXPR: \
c_inhibit_evaluation_warnings -= (stack[sp - 1].expr.value \
== truthvalue_false_node); \
break; \
case TRUTH_ORIF_EXPR: \
c_inhibit_evaluation_warnings -= (stack[sp - 1].expr.value \
== truthvalue_true_node); \
break; \
default: \
break; \
} \
stack[sp - 1].expr \
= default_function_array_conversion (stack[sp - 1].loc, \
stack[sp - 1].expr); \
stack[sp].expr \
= default_function_array_conversion (stack[sp].loc, stack[sp].expr); \
stack[sp - 1].expr = parser_build_binary_op (stack[sp].loc, \
stack[sp].op, \
stack[sp - 1].expr, \
stack[sp].expr); \
sp--; \
} while (0)
gcc_assert (!after || c_dialect_objc ());
stack[0].loc = c_parser_peek_token (parser)->location;
stack[0].expr = c_parser_cast_expression (parser, after);
stack[0].prec = PREC_NONE;
sp = 0;
while (true)
{
enum prec oprec;
enum tree_code ocode;
if (parser->error)
goto out;
switch (c_parser_peek_token (parser)->type)
{
case CPP_MULT:
oprec = PREC_MULT;
ocode = MULT_EXPR;
break;
case CPP_DIV:
oprec = PREC_MULT;
ocode = TRUNC_DIV_EXPR;
break;
case CPP_MOD:
oprec = PREC_MULT;
ocode = TRUNC_MOD_EXPR;
break;
case CPP_PLUS:
oprec = PREC_ADD;
ocode = PLUS_EXPR;
break;
case CPP_MINUS:
oprec = PREC_ADD;
ocode = MINUS_EXPR;
break;
case CPP_LSHIFT:
oprec = PREC_SHIFT;
ocode = LSHIFT_EXPR;
break;
case CPP_RSHIFT:
oprec = PREC_SHIFT;
ocode = RSHIFT_EXPR;
break;
case CPP_LESS:
oprec = PREC_REL;
ocode = LT_EXPR;
break;
case CPP_GREATER:
oprec = PREC_REL;
ocode = GT_EXPR;
break;
case CPP_LESS_EQ:
oprec = PREC_REL;
ocode = LE_EXPR;
break;
case CPP_GREATER_EQ:
oprec = PREC_REL;
ocode = GE_EXPR;
break;
case CPP_EQ_EQ:
oprec = PREC_EQ;
ocode = EQ_EXPR;
break;
case CPP_NOT_EQ:
oprec = PREC_EQ;
ocode = NE_EXPR;
break;
case CPP_AND:
oprec = PREC_BITAND;
ocode = BIT_AND_EXPR;
break;
case CPP_XOR:
oprec = PREC_BITXOR;
ocode = BIT_XOR_EXPR;
break;
case CPP_OR:
oprec = PREC_BITOR;
ocode = BIT_IOR_EXPR;
break;
case CPP_AND_AND:
oprec = PREC_LOGAND;
ocode = TRUTH_ANDIF_EXPR;
break;
case CPP_OR_OR:
oprec = PREC_LOGOR;
ocode = TRUTH_ORIF_EXPR;
break;
default:
/* Not a binary operator, so end of the binary
expression. */
goto out;
}
binary_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
while (oprec <= stack[sp].prec)
POP;
switch (ocode)
{
case TRUTH_ANDIF_EXPR:
stack[sp].expr
= default_function_array_conversion (stack[sp].loc,
stack[sp].expr);
stack[sp].expr.value = c_objc_common_truthvalue_conversion
(stack[sp].loc, default_conversion (stack[sp].expr.value));
c_inhibit_evaluation_warnings += (stack[sp].expr.value
== truthvalue_false_node);
break;
case TRUTH_ORIF_EXPR:
stack[sp].expr
= default_function_array_conversion (stack[sp].loc,
stack[sp].expr);
stack[sp].expr.value = c_objc_common_truthvalue_conversion
(stack[sp].loc, default_conversion (stack[sp].expr.value));
c_inhibit_evaluation_warnings += (stack[sp].expr.value
== truthvalue_true_node);
break;
default:
break;
}
sp++;
stack[sp].loc = binary_loc;
stack[sp].expr = c_parser_cast_expression (parser, NULL);
stack[sp].prec = oprec;
stack[sp].op = ocode;
stack[sp].loc = binary_loc;
}
out:
while (sp > 0)
POP;
return stack[0].expr;
#undef POP
}
/* Parse a cast expression (C90 6.3.4, C99 6.5.4). If AFTER is not
NULL then it is an Objective-C message expression which is the
primary-expression starting the expression as an initializer.
cast-expression:
unary-expression
( type-name ) unary-expression
*/
static struct c_expr
c_parser_cast_expression (c_parser *parser, struct c_expr *after)
{
location_t cast_loc = c_parser_peek_token (parser)->location;
gcc_assert (!after || c_dialect_objc ());
if (after)
return c_parser_postfix_expression_after_primary (parser,
cast_loc, *after);
/* If the expression begins with a parenthesized type name, it may
be either a cast or a compound literal; we need to see whether
the next character is '{' to tell the difference. If not, it is
an unary expression. */
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN)
&& c_token_starts_typename (c_parser_peek_2nd_token (parser)))
{
struct c_type_name *type_name;
struct c_expr ret;
struct c_expr expr;
c_parser_consume_token (parser);
type_name = c_parser_type_name (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
if (type_name == NULL)
{
ret.value = error_mark_node;
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
return ret;
}
/* Save casted types in the function's used types hash table. */
used_types_insert (type_name->specs->type);
if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
return c_parser_postfix_expression_after_paren_type (parser, type_name,
cast_loc);
{
location_t expr_loc = c_parser_peek_token (parser)->location;
expr = c_parser_cast_expression (parser, NULL);
expr = default_function_array_conversion (expr_loc, expr);
}
ret.value = c_cast_expr (cast_loc, type_name, expr.value);
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
return ret;
}
else
return c_parser_unary_expression (parser);
}
/* Parse an unary expression (C90 6.3.3, C99 6.5.3).
unary-expression:
postfix-expression
++ unary-expression
-- unary-expression
unary-operator cast-expression
sizeof unary-expression
sizeof ( type-name )
unary-operator: one of
& * + - ~ !
GNU extensions:
unary-expression:
__alignof__ unary-expression
__alignof__ ( type-name )
&& identifier
unary-operator: one of
__extension__ __real__ __imag__
In addition, the GNU syntax treats ++ and -- as unary operators, so
they may be applied to cast expressions with errors for non-lvalues
given later. */
static struct c_expr
c_parser_unary_expression (c_parser *parser)
{
int ext;
struct c_expr ret, op;
location_t op_loc = c_parser_peek_token (parser)->location;
location_t exp_loc;
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
switch (c_parser_peek_token (parser)->type)
{
case CPP_PLUS_PLUS:
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
return parser_build_unary_op (op_loc, PREINCREMENT_EXPR, op);
case CPP_MINUS_MINUS:
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
return parser_build_unary_op (op_loc, PREDECREMENT_EXPR, op);
case CPP_AND:
c_parser_consume_token (parser);
return parser_build_unary_op (op_loc, ADDR_EXPR,
c_parser_cast_expression (parser, NULL));
case CPP_MULT:
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
ret.value = build_indirect_ref (op_loc, op.value, RO_UNARY_STAR);
return ret;
case CPP_PLUS:
if (!c_dialect_objc () && !in_system_header)
warning_at (op_loc,
OPT_Wtraditional,
"traditional C rejects the unary plus operator");
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
return parser_build_unary_op (op_loc, CONVERT_EXPR, op);
case CPP_MINUS:
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
return parser_build_unary_op (op_loc, NEGATE_EXPR, op);
case CPP_COMPL:
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
return parser_build_unary_op (op_loc, BIT_NOT_EXPR, op);
case CPP_NOT:
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
return parser_build_unary_op (op_loc, TRUTH_NOT_EXPR, op);
case CPP_AND_AND:
/* Refer to the address of a label as a pointer. */
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_NAME))
{
ret.value = finish_label_address_expr
(c_parser_peek_token (parser)->value, op_loc);
c_parser_consume_token (parser);
}
else
{
c_parser_error (parser, "expected identifier");
ret.value = error_mark_node;
}
return ret;
case CPP_KEYWORD:
switch (c_parser_peek_token (parser)->keyword)
{
case RID_SIZEOF:
return c_parser_sizeof_expression (parser);
case RID_ALIGNOF:
return c_parser_alignof_expression (parser);
case RID_EXTENSION:
c_parser_consume_token (parser);
ext = disable_extension_diagnostics ();
ret = c_parser_cast_expression (parser, NULL);
restore_extension_diagnostics (ext);
return ret;
case RID_REALPART:
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
return parser_build_unary_op (op_loc, REALPART_EXPR, op);
case RID_IMAGPART:
c_parser_consume_token (parser);
exp_loc = c_parser_peek_token (parser)->location;
op = c_parser_cast_expression (parser, NULL);
op = default_function_array_conversion (exp_loc, op);
return parser_build_unary_op (op_loc, IMAGPART_EXPR, op);
default:
return c_parser_postfix_expression (parser);
}
default:
return c_parser_postfix_expression (parser);
}
}
/* Parse a sizeof expression. */
static struct c_expr
c_parser_sizeof_expression (c_parser *parser)
{
struct c_expr expr;
location_t expr_loc;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_SIZEOF));
c_parser_consume_token (parser);
c_inhibit_evaluation_warnings++;
in_sizeof++;
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN)
&& c_token_starts_typename (c_parser_peek_2nd_token (parser)))
{
/* Either sizeof ( type-name ) or sizeof unary-expression
starting with a compound literal. */
struct c_type_name *type_name;
c_parser_consume_token (parser);
expr_loc = c_parser_peek_token (parser)->location;
type_name = c_parser_type_name (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
if (type_name == NULL)
{
struct c_expr ret;
c_inhibit_evaluation_warnings--;
in_sizeof--;
ret.value = error_mark_node;
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
return ret;
}
if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
{
expr = c_parser_postfix_expression_after_paren_type (parser,
type_name,
expr_loc);
goto sizeof_expr;
}
/* sizeof ( type-name ). */
c_inhibit_evaluation_warnings--;
in_sizeof--;
return c_expr_sizeof_type (expr_loc, type_name);
}
else
{
expr_loc = c_parser_peek_token (parser)->location;
expr = c_parser_unary_expression (parser);
sizeof_expr:
c_inhibit_evaluation_warnings--;
in_sizeof--;
if (TREE_CODE (expr.value) == COMPONENT_REF
&& DECL_C_BIT_FIELD (TREE_OPERAND (expr.value, 1)))
error_at (expr_loc, "%<sizeof%> applied to a bit-field");
return c_expr_sizeof_expr (expr_loc, expr);
}
}
/* Parse an alignof expression. */
static struct c_expr
c_parser_alignof_expression (c_parser *parser)
{
struct c_expr expr;
location_t loc = c_parser_peek_token (parser)->location;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_ALIGNOF));
c_parser_consume_token (parser);
c_inhibit_evaluation_warnings++;
in_alignof++;
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN)
&& c_token_starts_typename (c_parser_peek_2nd_token (parser)))
{
/* Either __alignof__ ( type-name ) or __alignof__
unary-expression starting with a compound literal. */
location_t loc;
struct c_type_name *type_name;
struct c_expr ret;
c_parser_consume_token (parser);
loc = c_parser_peek_token (parser)->location;
type_name = c_parser_type_name (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
if (type_name == NULL)
{
struct c_expr ret;
c_inhibit_evaluation_warnings--;
in_alignof--;
ret.value = error_mark_node;
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
return ret;
}
if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
{
expr = c_parser_postfix_expression_after_paren_type (parser,
type_name,
loc);
goto alignof_expr;
}
/* alignof ( type-name ). */
c_inhibit_evaluation_warnings--;
in_alignof--;
ret.value = c_alignof (loc, groktypename (type_name, NULL, NULL));
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
return ret;
}
else
{
struct c_expr ret;
expr = c_parser_unary_expression (parser);
alignof_expr:
c_inhibit_evaluation_warnings--;
in_alignof--;
ret.value = c_alignof_expr (loc, expr.value);
ret.original_code = ERROR_MARK;
ret.original_type = NULL;
return ret;
}
}
/* Parse a postfix expression (C90 6.3.1-6.3.2, C99 6.5.1-6.5.2).
postfix-expression:
primary-expression
postfix-expression [ expression ]
postfix-expression ( argument-expression-list[opt] )
postfix-expression . identifier
postfix-expression -> identifier
postfix-expression ++
postfix-expression --
( type-name ) { initializer-list }
( type-name ) { initializer-list , }
argument-expression-list:
argument-expression
argument-expression-list , argument-expression
primary-expression:
identifier
constant
string-literal
( expression )
GNU extensions:
primary-expression:
__func__
(treated as a keyword in GNU C)
__FUNCTION__
__PRETTY_FUNCTION__
( compound-statement )
__builtin_va_arg ( assignment-expression , type-name )
__builtin_offsetof ( type-name , offsetof-member-designator )
__builtin_choose_expr ( assignment-expression ,
assignment-expression ,
assignment-expression )
__builtin_types_compatible_p ( type-name , type-name )
offsetof-member-designator:
identifier
offsetof-member-designator . identifier
offsetof-member-designator [ expression ]
Objective-C:
primary-expression:
[ objc-receiver objc-message-args ]
@selector ( objc-selector-arg )
@protocol ( identifier )
@encode ( type-name )
objc-string-literal
*/
static struct c_expr
c_parser_postfix_expression (c_parser *parser)
{
struct c_expr expr, e1, e2, e3;
struct c_type_name *t1, *t2;
location_t loc = c_parser_peek_token (parser)->location;;
expr.original_code = ERROR_MARK;
expr.original_type = NULL;
switch (c_parser_peek_token (parser)->type)
{
case CPP_NUMBER:
expr.value = c_parser_peek_token (parser)->value;
loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
if (TREE_CODE (expr.value) == FIXED_CST
&& !targetm.fixed_point_supported_p ())
{
error_at (loc, "fixed-point types not supported for this target");
expr.value = error_mark_node;
}
break;
case CPP_CHAR:
case CPP_CHAR16:
case CPP_CHAR32:
case CPP_WCHAR:
expr.value = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
break;
case CPP_STRING:
case CPP_STRING16:
case CPP_STRING32:
case CPP_WSTRING:
case CPP_UTF8STRING:
expr.value = c_parser_peek_token (parser)->value;
expr.original_code = STRING_CST;
c_parser_consume_token (parser);
break;
case CPP_OBJC_STRING:
gcc_assert (c_dialect_objc ());
expr.value
= objc_build_string_object (c_parser_peek_token (parser)->value);
c_parser_consume_token (parser);
break;
case CPP_NAME:
if (c_parser_peek_token (parser)->id_kind != C_ID_ID)
{
c_parser_error (parser, "expected expression");
expr.value = error_mark_node;
break;
}
{
tree id = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
expr.value = build_external_ref (loc, id,
(c_parser_peek_token (parser)->type
== CPP_OPEN_PAREN),
&expr.original_type);
}
break;
case CPP_OPEN_PAREN:
/* A parenthesized expression, statement expression or compound
literal. */
if (c_parser_peek_2nd_token (parser)->type == CPP_OPEN_BRACE)
{
/* A statement expression. */
tree stmt;
location_t brace_loc;
c_parser_consume_token (parser);
brace_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
if (cur_stmt_list == NULL)
{
error_at (loc, "braced-group within expression allowed "
"only inside a function");
parser->error = true;
c_parser_skip_until_found (parser, CPP_CLOSE_BRACE, NULL);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
expr.value = error_mark_node;
break;
}
stmt = c_begin_stmt_expr ();
c_parser_compound_statement_nostart (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
pedwarn (loc, OPT_pedantic,
"ISO C forbids braced-groups within expressions");
expr.value = c_finish_stmt_expr (brace_loc, stmt);
}
else if (c_token_starts_typename (c_parser_peek_2nd_token (parser)))
{
/* A compound literal. ??? Can we actually get here rather
than going directly to
c_parser_postfix_expression_after_paren_type from
elsewhere? */
location_t loc;
struct c_type_name *type_name;
c_parser_consume_token (parser);
loc = c_parser_peek_token (parser)->location;
type_name = c_parser_type_name (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
if (type_name == NULL)
{
expr.value = error_mark_node;
}
else
expr = c_parser_postfix_expression_after_paren_type (parser,
type_name,
loc);
}
else
{
/* A parenthesized expression. */
c_parser_consume_token (parser);
expr = c_parser_expression (parser);
if (TREE_CODE (expr.value) == MODIFY_EXPR)
TREE_NO_WARNING (expr.value) = 1;
if (expr.original_code != C_MAYBE_CONST_EXPR)
expr.original_code = ERROR_MARK;
/* Don't change EXPR.ORIGINAL_TYPE. */
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
}
break;
case CPP_KEYWORD:
switch (c_parser_peek_token (parser)->keyword)
{
case RID_FUNCTION_NAME:
case RID_PRETTY_FUNCTION_NAME:
case RID_C99_FUNCTION_NAME:
expr.value = fname_decl (loc,
c_parser_peek_token (parser)->keyword,
c_parser_peek_token (parser)->value);
c_parser_consume_token (parser);
break;
case RID_VA_ARG:
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
expr.value = error_mark_node;
break;
}
e1 = c_parser_expr_no_commas (parser, NULL);
e1.value = c_fully_fold (e1.value, false, NULL);
if (!c_parser_require (parser, CPP_COMMA, "expected %<,%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
expr.value = error_mark_node;
break;
}
loc = c_parser_peek_token (parser)->location;
t1 = c_parser_type_name (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
if (t1 == NULL)
{
expr.value = error_mark_node;
}
else
{
tree type_expr = NULL_TREE;
expr.value = c_build_va_arg (loc, e1.value,
groktypename (t1, &type_expr, NULL));
if (type_expr)
{
expr.value = build2 (C_MAYBE_CONST_EXPR,
TREE_TYPE (expr.value), type_expr,
expr.value);
C_MAYBE_CONST_EXPR_NON_CONST (expr.value) = true;
}
}
break;
case RID_OFFSETOF:
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
expr.value = error_mark_node;
break;
}
t1 = c_parser_type_name (parser);
if (t1 == NULL)
{
expr.value = error_mark_node;
break;
}
if (!c_parser_require (parser, CPP_COMMA, "expected %<,%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
expr.value = error_mark_node;
break;
}
{
tree type = groktypename (t1, NULL, NULL);
tree offsetof_ref;
if (type == error_mark_node)
offsetof_ref = error_mark_node;
else
{
offsetof_ref = build1 (INDIRECT_REF, type, null_pointer_node);
SET_EXPR_LOCATION (offsetof_ref, loc);
}
/* Parse the second argument to __builtin_offsetof. We
must have one identifier, and beyond that we want to
accept sub structure and sub array references. */
if (c_parser_next_token_is (parser, CPP_NAME))
{
offsetof_ref = build_component_ref
(loc, offsetof_ref, c_parser_peek_token (parser)->value);
c_parser_consume_token (parser);
while (c_parser_next_token_is (parser, CPP_DOT)
|| c_parser_next_token_is (parser,
CPP_OPEN_SQUARE)
|| c_parser_next_token_is (parser,
CPP_DEREF))
{
if (c_parser_next_token_is (parser, CPP_DEREF))
{
loc = c_parser_peek_token (parser)->location;
offsetof_ref = build_array_ref (loc,
offsetof_ref,
integer_zero_node);
goto do_dot;
}
else if (c_parser_next_token_is (parser, CPP_DOT))
{
do_dot:
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser,
CPP_NAME))
{
c_parser_error (parser, "expected identifier");
break;
}
offsetof_ref = build_component_ref
(loc, offsetof_ref,
c_parser_peek_token (parser)->value);
c_parser_consume_token (parser);
}
else
{
tree idx;
loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
idx = c_parser_expression (parser).value;
idx = c_fully_fold (idx, false, NULL);
c_parser_skip_until_found (parser, CPP_CLOSE_SQUARE,
"expected %<]%>");
offsetof_ref = build_array_ref (loc, offsetof_ref, idx);
}
}
}
else
c_parser_error (parser, "expected identifier");
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
expr.value = fold_offsetof (offsetof_ref, NULL_TREE);
}
break;
case RID_CHOOSE_EXPR:
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
expr.value = error_mark_node;
break;
}
loc = c_parser_peek_token (parser)->location;
e1 = c_parser_expr_no_commas (parser, NULL);
if (!c_parser_require (parser, CPP_COMMA, "expected %<,%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
expr.value = error_mark_node;
break;
}
e2 = c_parser_expr_no_commas (parser, NULL);
if (!c_parser_require (parser, CPP_COMMA, "expected %<,%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
expr.value = error_mark_node;
break;
}
e3 = c_parser_expr_no_commas (parser, NULL);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
{
tree c;
c = e1.value;
if (TREE_CODE (c) != INTEGER_CST
|| !INTEGRAL_TYPE_P (TREE_TYPE (c)))
error_at (loc,
"first argument to %<__builtin_choose_expr%> not"
" a constant");
constant_expression_warning (c);
expr = integer_zerop (c) ? e3 : e2;
}
break;
case RID_TYPES_COMPATIBLE_P:
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
expr.value = error_mark_node;
break;
}
t1 = c_parser_type_name (parser);
if (t1 == NULL)
{
expr.value = error_mark_node;
break;
}
if (!c_parser_require (parser, CPP_COMMA, "expected %<,%>"))
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
expr.value = error_mark_node;
break;
}
t2 = c_parser_type_name (parser);
if (t2 == NULL)
{
expr.value = error_mark_node;
break;
}
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
{
tree e1, e2;
e1 = TYPE_MAIN_VARIANT (groktypename (t1, NULL, NULL));
e2 = TYPE_MAIN_VARIANT (groktypename (t2, NULL, NULL));
expr.value = comptypes (e1, e2)
? build_int_cst (NULL_TREE, 1)
: build_int_cst (NULL_TREE, 0);
}
break;
case RID_AT_SELECTOR:
gcc_assert (c_dialect_objc ());
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
expr.value = error_mark_node;
break;
}
{
tree sel = c_parser_objc_selector_arg (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
expr.value = objc_build_selector_expr (loc, sel);
}
break;
case RID_AT_PROTOCOL:
gcc_assert (c_dialect_objc ());
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
expr.value = error_mark_node;
break;
}
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
expr.value = error_mark_node;
break;
}
{
tree id = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
expr.value = objc_build_protocol_expr (id);
}
break;
case RID_AT_ENCODE:
/* Extension to support C-structures in the archiver. */
gcc_assert (c_dialect_objc ());
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
expr.value = error_mark_node;
break;
}
t1 = c_parser_type_name (parser);
if (t1 == NULL)
{
expr.value = error_mark_node;
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
break;
}
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
{
tree type = groktypename (t1, NULL, NULL);
expr.value = objc_build_encode_expr (type);
}
break;
default:
c_parser_error (parser, "expected expression");
expr.value = error_mark_node;
break;
}
break;
case CPP_OPEN_SQUARE:
if (c_dialect_objc ())
{
tree receiver, args;
c_parser_consume_token (parser);
receiver = c_parser_objc_receiver (parser);
args = c_parser_objc_message_args (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_SQUARE,
"expected %<]%>");
expr.value = objc_build_message_expr (build_tree_list (receiver,
args));
break;
}
/* Else fall through to report error. */
default:
c_parser_error (parser, "expected expression");
expr.value = error_mark_node;
break;
}
return c_parser_postfix_expression_after_primary (parser, loc, expr);
}
/* Parse a postfix expression after a parenthesized type name: the
brace-enclosed initializer of a compound literal, possibly followed
by some postfix operators. This is separate because it is not
possible to tell until after the type name whether a cast
expression has a cast or a compound literal, or whether the operand
of sizeof is a parenthesized type name or starts with a compound
literal. TYPE_LOC is the location where TYPE_NAME starts--the
location of the first token after the parentheses around the type
name. */
static struct c_expr
c_parser_postfix_expression_after_paren_type (c_parser *parser,
struct c_type_name *type_name,
location_t type_loc)
{
tree type;
struct c_expr init;
bool non_const;
struct c_expr expr;
location_t start_loc;
tree type_expr = NULL_TREE;
bool type_expr_const = true;
check_compound_literal_type (type_loc, type_name);
start_init (NULL_TREE, NULL, 0);
type = groktypename (type_name, &type_expr, &type_expr_const);
start_loc = c_parser_peek_token (parser)->location;
if (type != error_mark_node && C_TYPE_VARIABLE_SIZE (type))
{
error_at (type_loc, "compound literal has variable size");
type = error_mark_node;
}
init = c_parser_braced_init (parser, type, false);
finish_init ();
maybe_warn_string_init (type, init);
if (type != error_mark_node
&& !ADDR_SPACE_GENERIC_P (TYPE_ADDR_SPACE (type))
&& current_function_decl)
{
error ("compound literal qualified by address-space qualifier");
type = error_mark_node;
}
if (!flag_isoc99)
pedwarn (start_loc, OPT_pedantic, "ISO C90 forbids compound literals");
non_const = ((init.value && TREE_CODE (init.value) == CONSTRUCTOR)
? CONSTRUCTOR_NON_CONST (init.value)
: init.original_code == C_MAYBE_CONST_EXPR);
non_const |= !type_expr_const;
expr.value = build_compound_literal (start_loc, type, init.value, non_const);
expr.original_code = ERROR_MARK;
expr.original_type = NULL;
if (type_expr)
{
if (TREE_CODE (expr.value) == C_MAYBE_CONST_EXPR)
{
gcc_assert (C_MAYBE_CONST_EXPR_PRE (expr.value) == NULL_TREE);
C_MAYBE_CONST_EXPR_PRE (expr.value) = type_expr;
}
else
{
gcc_assert (!non_const);
expr.value = build2 (C_MAYBE_CONST_EXPR, type,
type_expr, expr.value);
}
}
return c_parser_postfix_expression_after_primary (parser, start_loc, expr);
}
/* Parse a postfix expression after the initial primary or compound
literal; that is, parse a series of postfix operators.
EXPR_LOC is the location of the primary expression. */
static struct c_expr
c_parser_postfix_expression_after_primary (c_parser *parser,
location_t expr_loc,
struct c_expr expr)
{
struct c_expr orig_expr;
tree ident, idx;
VEC(tree,gc) *exprlist;
VEC(tree,gc) *origtypes;
while (true)
{
location_t op_loc = c_parser_peek_token (parser)->location;
switch (c_parser_peek_token (parser)->type)
{
case CPP_OPEN_SQUARE:
/* Array reference. */
c_parser_consume_token (parser);
idx = c_parser_expression (parser).value;
c_parser_skip_until_found (parser, CPP_CLOSE_SQUARE,
"expected %<]%>");
expr.value = build_array_ref (op_loc, expr.value, idx);
expr.original_code = ERROR_MARK;
expr.original_type = NULL;
break;
case CPP_OPEN_PAREN:
/* Function call. */
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_CLOSE_PAREN))
exprlist = NULL;
else
exprlist = c_parser_expr_list (parser, true, false, &origtypes);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
orig_expr = expr;
/* FIXME diagnostics: Ideally we want the FUNCNAME, not the
"(" after the FUNCNAME, which is what we have now. */
expr.value = build_function_call_vec (op_loc, expr.value, exprlist,
origtypes);
expr.original_code = ERROR_MARK;
if (TREE_CODE (expr.value) == INTEGER_CST
&& TREE_CODE (orig_expr.value) == FUNCTION_DECL
&& DECL_BUILT_IN_CLASS (orig_expr.value) == BUILT_IN_NORMAL
&& DECL_FUNCTION_CODE (orig_expr.value) == BUILT_IN_CONSTANT_P)
expr.original_code = C_MAYBE_CONST_EXPR;
expr.original_type = NULL;
if (exprlist != NULL)
{
release_tree_vector (exprlist);
release_tree_vector (origtypes);
}
break;
case CPP_DOT:
/* Structure element reference. */
c_parser_consume_token (parser);
expr = default_function_array_conversion (expr_loc, expr);
if (c_parser_next_token_is (parser, CPP_NAME))
ident = c_parser_peek_token (parser)->value;
else
{
c_parser_error (parser, "expected identifier");
expr.value = error_mark_node;
expr.original_code = ERROR_MARK;
expr.original_type = NULL;
return expr;
}
c_parser_consume_token (parser);
expr.value = build_component_ref (op_loc, expr.value, ident);
expr.original_code = ERROR_MARK;
if (TREE_CODE (expr.value) != COMPONENT_REF)
expr.original_type = NULL;
else
{
/* Remember the original type of a bitfield. */
tree field = TREE_OPERAND (expr.value, 1);
if (TREE_CODE (field) != FIELD_DECL)
expr.original_type = NULL;
else
expr.original_type = DECL_BIT_FIELD_TYPE (field);
}
break;
case CPP_DEREF:
/* Structure element reference. */
c_parser_consume_token (parser);
expr = default_function_array_conversion (expr_loc, expr);
if (c_parser_next_token_is (parser, CPP_NAME))
ident = c_parser_peek_token (parser)->value;
else
{
c_parser_error (parser, "expected identifier");
expr.value = error_mark_node;
expr.original_code = ERROR_MARK;
expr.original_type = NULL;
return expr;
}
c_parser_consume_token (parser);
expr.value = build_component_ref (op_loc,
build_indirect_ref (op_loc,
expr.value,
RO_ARROW),
ident);
expr.original_code = ERROR_MARK;
if (TREE_CODE (expr.value) != COMPONENT_REF)
expr.original_type = NULL;
else
{
/* Remember the original type of a bitfield. */
tree field = TREE_OPERAND (expr.value, 1);
if (TREE_CODE (field) != FIELD_DECL)
expr.original_type = NULL;
else
expr.original_type = DECL_BIT_FIELD_TYPE (field);
}
break;
case CPP_PLUS_PLUS:
/* Postincrement. */
c_parser_consume_token (parser);
expr = default_function_array_conversion (expr_loc, expr);
expr.value = build_unary_op (op_loc,
POSTINCREMENT_EXPR, expr.value, 0);
expr.original_code = ERROR_MARK;
expr.original_type = NULL;
break;
case CPP_MINUS_MINUS:
/* Postdecrement. */
c_parser_consume_token (parser);
expr = default_function_array_conversion (expr_loc, expr);
expr.value = build_unary_op (op_loc,
POSTDECREMENT_EXPR, expr.value, 0);
expr.original_code = ERROR_MARK;
expr.original_type = NULL;
break;
default:
return expr;
}
}
}
/* Parse an expression (C90 6.3.17, C99 6.5.17).
expression:
assignment-expression
expression , assignment-expression
*/
static struct c_expr
c_parser_expression (c_parser *parser)
{
struct c_expr expr;
expr = c_parser_expr_no_commas (parser, NULL);
while (c_parser_next_token_is (parser, CPP_COMMA))
{
struct c_expr next;
location_t loc = c_parser_peek_token (parser)->location;
location_t expr_loc;
c_parser_consume_token (parser);
expr_loc = c_parser_peek_token (parser)->location;
next = c_parser_expr_no_commas (parser, NULL);
next = default_function_array_conversion (expr_loc, next);
expr.value = build_compound_expr (loc, expr.value, next.value);
expr.original_code = COMPOUND_EXPR;
expr.original_type = next.original_type;
}
return expr;
}
/* Parse an expression and convert functions or arrays to
pointers. */
static struct c_expr
c_parser_expression_conv (c_parser *parser)
{
struct c_expr expr;
location_t loc = c_parser_peek_token (parser)->location;
expr = c_parser_expression (parser);
expr = default_function_array_conversion (loc, expr);
return expr;
}
/* Parse a non-empty list of expressions. If CONVERT_P, convert
functions and arrays to pointers. If FOLD_P, fold the expressions.
nonempty-expr-list:
assignment-expression
nonempty-expr-list , assignment-expression
*/
static VEC(tree,gc) *
c_parser_expr_list (c_parser *parser, bool convert_p, bool fold_p,
VEC(tree,gc) **p_orig_types)
{
VEC(tree,gc) *ret;
VEC(tree,gc) *orig_types;
struct c_expr expr;
location_t loc = c_parser_peek_token (parser)->location;
ret = make_tree_vector ();
if (p_orig_types == NULL)
orig_types = NULL;
else
orig_types = make_tree_vector ();
expr = c_parser_expr_no_commas (parser, NULL);
if (convert_p)
expr = default_function_array_conversion (loc, expr);
if (fold_p)
expr.value = c_fully_fold (expr.value, false, NULL);
VEC_quick_push (tree, ret, expr.value);
if (orig_types != NULL)
VEC_quick_push (tree, orig_types, expr.original_type);
while (c_parser_next_token_is (parser, CPP_COMMA))
{
c_parser_consume_token (parser);
loc = c_parser_peek_token (parser)->location;
expr = c_parser_expr_no_commas (parser, NULL);
if (convert_p)
expr = default_function_array_conversion (loc, expr);
if (fold_p)
expr.value = c_fully_fold (expr.value, false, NULL);
VEC_safe_push (tree, gc, ret, expr.value);
if (orig_types != NULL)
VEC_safe_push (tree, gc, orig_types, expr.original_type);
}
if (orig_types != NULL)
*p_orig_types = orig_types;
return ret;
}
/* Parse Objective-C-specific constructs. */
/* Parse an objc-class-definition.
objc-class-definition:
@interface identifier objc-superclass[opt] objc-protocol-refs[opt]
objc-class-instance-variables[opt] objc-methodprotolist @end
@implementation identifier objc-superclass[opt]
objc-class-instance-variables[opt]
@interface identifier ( identifier ) objc-protocol-refs[opt]
objc-methodprotolist @end
@implementation identifier ( identifier )
objc-superclass:
: identifier
"@interface identifier (" must start "@interface identifier (
identifier ) ...": objc-methodprotolist in the first production may
not start with a parenthesized identifier as a declarator of a data
definition with no declaration specifiers if the objc-superclass,
objc-protocol-refs and objc-class-instance-variables are omitted. */
static void
c_parser_objc_class_definition (c_parser *parser)
{
bool iface_p;
tree id1;
tree superclass;
if (c_parser_next_token_is_keyword (parser, RID_AT_INTERFACE))
iface_p = true;
else if (c_parser_next_token_is_keyword (parser, RID_AT_IMPLEMENTATION))
iface_p = false;
else
gcc_unreachable ();
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
return;
}
id1 = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN))
{
tree id2;
tree proto = NULL_TREE;
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
return;
}
id2 = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
if (!iface_p)
{
objc_start_category_implementation (id1, id2);
return;
}
if (c_parser_next_token_is (parser, CPP_LESS))
proto = c_parser_objc_protocol_refs (parser);
objc_start_category_interface (id1, id2, proto);
c_parser_objc_methodprotolist (parser);
c_parser_require_keyword (parser, RID_AT_END, "expected %<@end%>");
objc_finish_interface ();
return;
}
if (c_parser_next_token_is (parser, CPP_COLON))
{
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
return;
}
superclass = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
}
else
superclass = NULL_TREE;
if (iface_p)
{
tree proto = NULL_TREE;
if (c_parser_next_token_is (parser, CPP_LESS))
proto = c_parser_objc_protocol_refs (parser);
objc_start_class_interface (id1, superclass, proto);
}
else
objc_start_class_implementation (id1, superclass);
if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
c_parser_objc_class_instance_variables (parser);
if (iface_p)
{
objc_continue_interface ();
c_parser_objc_methodprotolist (parser);
c_parser_require_keyword (parser, RID_AT_END, "expected %<@end%>");
objc_finish_interface ();
}
else
{
objc_continue_implementation ();
return;
}
}
/* Parse objc-class-instance-variables.
objc-class-instance-variables:
{ objc-instance-variable-decl-list[opt] }
objc-instance-variable-decl-list:
objc-visibility-spec
objc-instance-variable-decl ;
;
objc-instance-variable-decl-list objc-visibility-spec
objc-instance-variable-decl-list objc-instance-variable-decl ;
objc-instance-variable-decl-list ;
objc-visibility-spec:
@private
@protected
@public
objc-instance-variable-decl:
struct-declaration
*/
static void
c_parser_objc_class_instance_variables (c_parser *parser)
{
gcc_assert (c_parser_next_token_is (parser, CPP_OPEN_BRACE));
c_parser_consume_token (parser);
while (c_parser_next_token_is_not (parser, CPP_EOF))
{
tree decls;
/* Parse any stray semicolon. */
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
pedwarn (c_parser_peek_token (parser)->location, OPT_pedantic,
"extra semicolon in struct or union specified");
c_parser_consume_token (parser);
continue;
}
/* Stop if at the end of the instance variables. */
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
{
c_parser_consume_token (parser);
break;
}
/* Parse any objc-visibility-spec. */
if (c_parser_next_token_is_keyword (parser, RID_PRIVATE))
{
c_parser_consume_token (parser);
objc_set_visibility (2);
continue;
}
else if (c_parser_next_token_is_keyword (parser, RID_PROTECTED))
{
c_parser_consume_token (parser);
objc_set_visibility (0);
continue;
}
else if (c_parser_next_token_is_keyword (parser, RID_PUBLIC))
{
c_parser_consume_token (parser);
objc_set_visibility (1);
continue;
}
else if (c_parser_next_token_is (parser, CPP_PRAGMA))
{
c_parser_pragma (parser, pragma_external);
continue;
}
/* Parse some comma-separated declarations. */
decls = c_parser_struct_declaration (parser);
{
/* Comma-separated instance variables are chained together in
reverse order; add them one by one. */
tree ivar = nreverse (decls);
for (; ivar; ivar = TREE_CHAIN (ivar))
objc_add_instance_variable (copy_node (ivar));
}
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
}
}
/* Parse an objc-class-declaration.
objc-class-declaration:
@class identifier-list ;
*/
static void
c_parser_objc_class_declaration (c_parser *parser)
{
tree list = NULL_TREE;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_CLASS));
c_parser_consume_token (parser);
/* Any identifiers, including those declared as type names, are OK
here. */
while (true)
{
tree id;
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
break;
}
id = c_parser_peek_token (parser)->value;
list = chainon (list, build_tree_list (NULL_TREE, id));
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else
break;
}
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
objc_declare_class (list);
}
/* Parse an objc-alias-declaration.
objc-alias-declaration:
@compatibility_alias identifier identifier ;
*/
static void
c_parser_objc_alias_declaration (c_parser *parser)
{
tree id1, id2;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_AT_ALIAS));
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
c_parser_skip_until_found (parser, CPP_SEMICOLON, NULL);
return;
}
id1 = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
c_parser_skip_until_found (parser, CPP_SEMICOLON, NULL);
return;
}
id2 = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
objc_declare_alias (id1, id2);
}
/* Parse an objc-protocol-definition.
objc-protocol-definition:
@protocol identifier objc-protocol-refs[opt] objc-methodprotolist @end
@protocol identifier-list ;
"@protocol identifier ;" should be resolved as "@protocol
identifier-list ;": objc-methodprotolist may not start with a
semicolon in the first alternative if objc-protocol-refs are
omitted. */
static void
c_parser_objc_protocol_definition (c_parser *parser)
{
gcc_assert (c_parser_next_token_is_keyword (parser, RID_AT_PROTOCOL));
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
return;
}
if (c_parser_peek_2nd_token (parser)->type == CPP_COMMA
|| c_parser_peek_2nd_token (parser)->type == CPP_SEMICOLON)
{
tree list = NULL_TREE;
/* Any identifiers, including those declared as type names, are
OK here. */
while (true)
{
tree id;
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
break;
}
id = c_parser_peek_token (parser)->value;
list = chainon (list, build_tree_list (NULL_TREE, id));
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else
break;
}
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
objc_declare_protocols (list);
}
else
{
tree id = c_parser_peek_token (parser)->value;
tree proto = NULL_TREE;
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_LESS))
proto = c_parser_objc_protocol_refs (parser);
parser->objc_pq_context = true;
objc_start_protocol (id, proto);
c_parser_objc_methodprotolist (parser);
c_parser_require_keyword (parser, RID_AT_END, "expected %<@end%>");
parser->objc_pq_context = false;
objc_finish_interface ();
}
}
/* Parse an objc-method-type.
objc-method-type:
+
-
*/
static enum tree_code
c_parser_objc_method_type (c_parser *parser)
{
switch (c_parser_peek_token (parser)->type)
{
case CPP_PLUS:
c_parser_consume_token (parser);
return PLUS_EXPR;
case CPP_MINUS:
c_parser_consume_token (parser);
return MINUS_EXPR;
default:
gcc_unreachable ();
}
}
/* Parse an objc-method-definition.
objc-method-definition:
objc-method-type objc-method-decl ;[opt] compound-statement
*/
static void
c_parser_objc_method_definition (c_parser *parser)
{
enum tree_code type = c_parser_objc_method_type (parser);
tree decl;
objc_set_method_type (type);
parser->objc_pq_context = true;
decl = c_parser_objc_method_decl (parser);
if (c_parser_next_token_is (parser, CPP_SEMICOLON))
{
c_parser_consume_token (parser);
pedwarn (c_parser_peek_token (parser)->location, OPT_pedantic,
"extra semicolon in method definition specified");
}
if (!c_parser_next_token_is (parser, CPP_OPEN_BRACE))
{
c_parser_error (parser, "expected %<{%>");
return;
}
parser->objc_pq_context = false;
objc_start_method_definition (decl);
add_stmt (c_parser_compound_statement (parser));
objc_finish_method_definition (current_function_decl);
}
/* Parse an objc-methodprotolist.
objc-methodprotolist:
empty
objc-methodprotolist objc-methodproto
objc-methodprotolist declaration
objc-methodprotolist ;
The declaration is a data definition, which may be missing
declaration specifiers under the same rules and diagnostics as
other data definitions outside functions, and the stray semicolon
is diagnosed the same way as a stray semicolon outside a
function. */
static void
c_parser_objc_methodprotolist (c_parser *parser)
{
while (true)
{
/* The list is terminated by @end. */
switch (c_parser_peek_token (parser)->type)
{
case CPP_SEMICOLON:
pedwarn (c_parser_peek_token (parser)->location, OPT_pedantic,
"ISO C does not allow extra %<;%> outside of a function");
c_parser_consume_token (parser);
break;
case CPP_PLUS:
case CPP_MINUS:
c_parser_objc_methodproto (parser);
break;
case CPP_PRAGMA:
c_parser_pragma (parser, pragma_external);
break;
case CPP_EOF:
return;
default:
if (c_parser_next_token_is_keyword (parser, RID_AT_END))
return;
c_parser_declaration_or_fndef (parser, false, true, false, true);
break;
}
}
}
/* Parse an objc-methodproto.
objc-methodproto:
objc-method-type objc-method-decl ;
*/
static void
c_parser_objc_methodproto (c_parser *parser)
{
enum tree_code type = c_parser_objc_method_type (parser);
tree decl;
objc_set_method_type (type);
/* Remember protocol qualifiers in prototypes. */
parser->objc_pq_context = true;
decl = c_parser_objc_method_decl (parser);
/* Forget protocol qualifiers here. */
parser->objc_pq_context = false;
objc_add_method_declaration (decl);
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
}
/* Parse an objc-method-decl.
objc-method-decl:
( objc-type-name ) objc-selector
objc-selector
( objc-type-name ) objc-keyword-selector objc-optparmlist
objc-keyword-selector objc-optparmlist
objc-keyword-selector:
objc-keyword-decl
objc-keyword-selector objc-keyword-decl
objc-keyword-decl:
objc-selector : ( objc-type-name ) identifier
objc-selector : identifier
: ( objc-type-name ) identifier
: identifier
objc-optparmlist:
objc-optparms objc-optellipsis
objc-optparms:
empty
objc-opt-parms , parameter-declaration
objc-optellipsis:
empty
, ...
*/
static tree
c_parser_objc_method_decl (c_parser *parser)
{
tree type = NULL_TREE;
tree sel;
tree parms = NULL_TREE;
bool ellipsis = false;
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN))
{
c_parser_consume_token (parser);
type = c_parser_objc_type_name (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
sel = c_parser_objc_selector (parser);
/* If there is no selector, or a colon follows, we have an
objc-keyword-selector. If there is a selector, and a colon does
not follow, that selector ends the objc-method-decl. */
if (!sel || c_parser_next_token_is (parser, CPP_COLON))
{
tree tsel = sel;
tree list = NULL_TREE;
while (true)
{
tree atype = NULL_TREE, id, keyworddecl;
if (!c_parser_require (parser, CPP_COLON, "expected %<:%>"))
break;
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN))
{
c_parser_consume_token (parser);
atype = c_parser_objc_type_name (parser);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
}
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
return error_mark_node;
}
id = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
keyworddecl = objc_build_keyword_decl (tsel, atype, id);
list = chainon (list, keyworddecl);
tsel = c_parser_objc_selector (parser);
if (!tsel && c_parser_next_token_is_not (parser, CPP_COLON))
break;
}
/* Parse the optional parameter list. Optional Objective-C
method parameters follow the C syntax, and may include '...'
to denote a variable number of arguments. */
parms = make_node (TREE_LIST);
while (c_parser_next_token_is (parser, CPP_COMMA))
{
struct c_parm *parm;
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_ELLIPSIS))
{
ellipsis = true;
c_parser_consume_token (parser);
break;
}
parm = c_parser_parameter_declaration (parser, NULL_TREE);
if (parm == NULL)
break;
parms = chainon (parms,
build_tree_list (NULL_TREE, grokparm (parm)));
}
sel = list;
}
return objc_build_method_signature (type, sel, parms, ellipsis);
}
/* Parse an objc-type-name.
objc-type-name:
objc-type-qualifiers[opt] type-name
objc-type-qualifiers[opt]
objc-type-qualifiers:
objc-type-qualifier
objc-type-qualifiers objc-type-qualifier
objc-type-qualifier: one of
in out inout bycopy byref oneway
*/
static tree
c_parser_objc_type_name (c_parser *parser)
{
tree quals = NULL_TREE;
struct c_type_name *type_name = NULL;
tree type = NULL_TREE;
while (true)
{
c_token *token = c_parser_peek_token (parser);
if (token->type == CPP_KEYWORD
&& (token->keyword == RID_IN
|| token->keyword == RID_OUT
|| token->keyword == RID_INOUT
|| token->keyword == RID_BYCOPY
|| token->keyword == RID_BYREF
|| token->keyword == RID_ONEWAY))
{
quals = chainon (quals, build_tree_list (NULL_TREE, token->value));
c_parser_consume_token (parser);
}
else
break;
}
if (c_parser_next_token_starts_typename (parser))
type_name = c_parser_type_name (parser);
if (type_name)
type = groktypename (type_name, NULL, NULL);
return build_tree_list (quals, type);
}
/* Parse objc-protocol-refs.
objc-protocol-refs:
< identifier-list >
*/
static tree
c_parser_objc_protocol_refs (c_parser *parser)
{
tree list = NULL_TREE;
gcc_assert (c_parser_next_token_is (parser, CPP_LESS));
c_parser_consume_token (parser);
/* Any identifiers, including those declared as type names, are OK
here. */
while (true)
{
tree id;
if (c_parser_next_token_is_not (parser, CPP_NAME))
{
c_parser_error (parser, "expected identifier");
break;
}
id = c_parser_peek_token (parser)->value;
list = chainon (list, build_tree_list (NULL_TREE, id));
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
else
break;
}
c_parser_require (parser, CPP_GREATER, "expected %<>%>");
return list;
}
/* Parse an objc-try-catch-statement.
objc-try-catch-statement:
@try compound-statement objc-catch-list[opt]
@try compound-statement objc-catch-list[opt] @finally compound-statement
objc-catch-list:
@catch ( parameter-declaration ) compound-statement
objc-catch-list @catch ( parameter-declaration ) compound-statement
*/
static void
c_parser_objc_try_catch_statement (c_parser *parser)
{
location_t loc;
tree stmt;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_TRY));
c_parser_consume_token (parser);
loc = c_parser_peek_token (parser)->location;
stmt = c_parser_compound_statement (parser);
objc_begin_try_stmt (loc, stmt);
while (c_parser_next_token_is_keyword (parser, RID_CATCH))
{
struct c_parm *parm;
c_parser_consume_token (parser);
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
break;
parm = c_parser_parameter_declaration (parser, NULL_TREE);
if (parm == NULL)
{
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, NULL);
break;
}
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
objc_begin_catch_clause (grokparm (parm));
if (c_parser_require (parser, CPP_OPEN_BRACE, "expected %<{%>"))
c_parser_compound_statement_nostart (parser);
objc_finish_catch_clause ();
}
if (c_parser_next_token_is_keyword (parser, RID_AT_FINALLY))
{
location_t finloc;
tree finstmt;
c_parser_consume_token (parser);
finloc = c_parser_peek_token (parser)->location;
finstmt = c_parser_compound_statement (parser);
objc_build_finally_clause (finloc, finstmt);
}
objc_finish_try_stmt ();
}
/* Parse an objc-synchronized-statement.
objc-synchronized-statement:
@synchronized ( expression ) compound-statement
*/
static void
c_parser_objc_synchronized_statement (c_parser *parser)
{
location_t loc;
tree expr, stmt;
gcc_assert (c_parser_next_token_is_keyword (parser, RID_AT_SYNCHRONIZED));
c_parser_consume_token (parser);
loc = c_parser_peek_token (parser)->location;
if (c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
expr = c_parser_expression (parser).value;
expr = c_fully_fold (expr, false, NULL);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
else
expr = error_mark_node;
stmt = c_parser_compound_statement (parser);
objc_build_synchronized (loc, expr, stmt);
}
/* Parse an objc-selector; return NULL_TREE without an error if the
next token is not an objc-selector.
objc-selector:
identifier
one of
enum struct union if else while do for switch case default
break continue return goto asm sizeof typeof __alignof
unsigned long const short volatile signed restrict _Complex
in out inout bycopy byref oneway int char float double void _Bool
??? Why this selection of keywords but not, for example, storage
class specifiers? */
static tree
c_parser_objc_selector (c_parser *parser)
{
c_token *token = c_parser_peek_token (parser);
tree value = token->value;
if (token->type == CPP_NAME)
{
c_parser_consume_token (parser);
return value;
}
if (token->type != CPP_KEYWORD)
return NULL_TREE;
switch (token->keyword)
{
case RID_ENUM:
case RID_STRUCT:
case RID_UNION:
case RID_IF:
case RID_ELSE:
case RID_WHILE:
case RID_DO:
case RID_FOR:
case RID_SWITCH:
case RID_CASE:
case RID_DEFAULT:
case RID_BREAK:
case RID_CONTINUE:
case RID_RETURN:
case RID_GOTO:
case RID_ASM:
case RID_SIZEOF:
case RID_TYPEOF:
case RID_ALIGNOF:
case RID_UNSIGNED:
case RID_LONG:
case RID_CONST:
case RID_SHORT:
case RID_VOLATILE:
case RID_SIGNED:
case RID_RESTRICT:
case RID_COMPLEX:
case RID_IN:
case RID_OUT:
case RID_INOUT:
case RID_BYCOPY:
case RID_BYREF:
case RID_ONEWAY:
case RID_INT:
case RID_CHAR:
case RID_FLOAT:
case RID_DOUBLE:
case RID_VOID:
case RID_BOOL:
c_parser_consume_token (parser);
return value;
default:
return NULL_TREE;
}
}
/* Parse an objc-selector-arg.
objc-selector-arg:
objc-selector
objc-keywordname-list
objc-keywordname-list:
objc-keywordname
objc-keywordname-list objc-keywordname
objc-keywordname:
objc-selector :
:
*/
static tree
c_parser_objc_selector_arg (c_parser *parser)
{
tree sel = c_parser_objc_selector (parser);
tree list = NULL_TREE;
if (sel && c_parser_next_token_is_not (parser, CPP_COLON))
return sel;
while (true)
{
if (!c_parser_require (parser, CPP_COLON, "expected %<:%>"))
return list;
list = chainon (list, build_tree_list (sel, NULL_TREE));
sel = c_parser_objc_selector (parser);
if (!sel && c_parser_next_token_is_not (parser, CPP_COLON))
break;
}
return list;
}
/* Parse an objc-receiver.
objc-receiver:
expression
class-name
type-name
*/
static tree
c_parser_objc_receiver (c_parser *parser)
{
if (c_parser_peek_token (parser)->type == CPP_NAME
&& (c_parser_peek_token (parser)->id_kind == C_ID_TYPENAME
|| c_parser_peek_token (parser)->id_kind == C_ID_CLASSNAME))
{
tree id = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
return objc_get_class_reference (id);
}
return c_fully_fold (c_parser_expression (parser).value, false, NULL);
}
/* Parse objc-message-args.
objc-message-args:
objc-selector
objc-keywordarg-list
objc-keywordarg-list:
objc-keywordarg
objc-keywordarg-list objc-keywordarg
objc-keywordarg:
objc-selector : objc-keywordexpr
: objc-keywordexpr
*/
static tree
c_parser_objc_message_args (c_parser *parser)
{
tree sel = c_parser_objc_selector (parser);
tree list = NULL_TREE;
if (sel && c_parser_next_token_is_not (parser, CPP_COLON))
return sel;
while (true)
{
tree keywordexpr;
if (!c_parser_require (parser, CPP_COLON, "expected %<:%>"))
return error_mark_node;
keywordexpr = c_parser_objc_keywordexpr (parser);
list = chainon (list, build_tree_list (sel, keywordexpr));
sel = c_parser_objc_selector (parser);
if (!sel && c_parser_next_token_is_not (parser, CPP_COLON))
break;
}
return list;
}
/* Parse an objc-keywordexpr.
objc-keywordexpr:
nonempty-expr-list
*/
static tree
c_parser_objc_keywordexpr (c_parser *parser)
{
tree ret;
VEC(tree,gc) *expr_list = c_parser_expr_list (parser, true, true, NULL);
if (VEC_length (tree, expr_list) == 1)
{
/* Just return the expression, remove a level of
indirection. */
ret = VEC_index (tree, expr_list, 0);
}
else
{
/* We have a comma expression, we will collapse later. */
ret = build_tree_list_vec (expr_list);
}
release_tree_vector (expr_list);
return ret;
}
/* Handle pragmas. Some OpenMP pragmas are associated with, and therefore
should be considered, statements. ALLOW_STMT is true if we're within
the context of a function and such pragmas are to be allowed. Returns
true if we actually parsed such a pragma. */
static bool
c_parser_pragma (c_parser *parser, enum pragma_context context)
{
unsigned int id;
id = c_parser_peek_token (parser)->pragma_kind;
gcc_assert (id != PRAGMA_NONE);
switch (id)
{
case PRAGMA_OMP_BARRIER:
if (context != pragma_compound)
{
if (context == pragma_stmt)
c_parser_error (parser, "%<#pragma omp barrier%> may only be "
"used in compound statements");
goto bad_stmt;
}
c_parser_omp_barrier (parser);
return false;
case PRAGMA_OMP_FLUSH:
if (context != pragma_compound)
{
if (context == pragma_stmt)
c_parser_error (parser, "%<#pragma omp flush%> may only be "
"used in compound statements");
goto bad_stmt;
}
c_parser_omp_flush (parser);
return false;
case PRAGMA_OMP_TASKWAIT:
if (context != pragma_compound)
{
if (context == pragma_stmt)
c_parser_error (parser, "%<#pragma omp taskwait%> may only be "
"used in compound statements");
goto bad_stmt;
}
c_parser_omp_taskwait (parser);
return false;
case PRAGMA_OMP_THREADPRIVATE:
c_parser_omp_threadprivate (parser);
return false;
case PRAGMA_OMP_SECTION:
error_at (c_parser_peek_token (parser)->location,
"%<#pragma omp section%> may only be used in "
"%<#pragma omp sections%> construct");
c_parser_skip_until_found (parser, CPP_PRAGMA_EOL, NULL);
return false;
case PRAGMA_GCC_PCH_PREPROCESS:
c_parser_error (parser, "%<#pragma GCC pch_preprocess%> must be first");
c_parser_skip_until_found (parser, CPP_PRAGMA_EOL, NULL);
return false;
default:
if (id < PRAGMA_FIRST_EXTERNAL)
{
if (context == pragma_external)
{
bad_stmt:
c_parser_error (parser, "expected declaration specifiers");
c_parser_skip_until_found (parser, CPP_PRAGMA_EOL, NULL);
return false;
}
c_parser_omp_construct (parser);
return true;
}
break;
}
c_parser_consume_pragma (parser);
c_invoke_pragma_handler (id);
/* Skip to EOL, but suppress any error message. Those will have been
generated by the handler routine through calling error, as opposed
to calling c_parser_error. */
parser->error = true;
c_parser_skip_to_pragma_eol (parser);
return false;
}
/* The interface the pragma parsers have to the lexer. */
enum cpp_ttype
pragma_lex (tree *value)
{
c_token *tok = c_parser_peek_token (the_parser);
enum cpp_ttype ret = tok->type;
*value = tok->value;
if (ret == CPP_PRAGMA_EOL || ret == CPP_EOF)
ret = CPP_EOF;
else
{
if (ret == CPP_KEYWORD)
ret = CPP_NAME;
c_parser_consume_token (the_parser);
}
return ret;
}
static void
c_parser_pragma_pch_preprocess (c_parser *parser)
{
tree name = NULL;
c_parser_consume_pragma (parser);
if (c_parser_next_token_is (parser, CPP_STRING))
{
name = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
}
else
c_parser_error (parser, "expected string literal");
c_parser_skip_to_pragma_eol (parser);
if (name)
c_common_pch_pragma (parse_in, TREE_STRING_POINTER (name));
}
/* OpenMP 2.5 parsing routines. */
/* Returns name of the next clause.
If the clause is not recognized PRAGMA_OMP_CLAUSE_NONE is returned and
the token is not consumed. Otherwise appropriate pragma_omp_clause is
returned and the token is consumed. */
static pragma_omp_clause
c_parser_omp_clause_name (c_parser *parser)
{
pragma_omp_clause result = PRAGMA_OMP_CLAUSE_NONE;
if (c_parser_next_token_is_keyword (parser, RID_IF))
result = PRAGMA_OMP_CLAUSE_IF;
else if (c_parser_next_token_is_keyword (parser, RID_DEFAULT))
result = PRAGMA_OMP_CLAUSE_DEFAULT;
else if (c_parser_next_token_is (parser, CPP_NAME))
{
const char *p = IDENTIFIER_POINTER (c_parser_peek_token (parser)->value);
switch (p[0])
{
case 'c':
if (!strcmp ("collapse", p))
result = PRAGMA_OMP_CLAUSE_COLLAPSE;
else if (!strcmp ("copyin", p))
result = PRAGMA_OMP_CLAUSE_COPYIN;
else if (!strcmp ("copyprivate", p))
result = PRAGMA_OMP_CLAUSE_COPYPRIVATE;
break;
case 'f':
if (!strcmp ("firstprivate", p))
result = PRAGMA_OMP_CLAUSE_FIRSTPRIVATE;
break;
case 'l':
if (!strcmp ("lastprivate", p))
result = PRAGMA_OMP_CLAUSE_LASTPRIVATE;
break;
case 'n':
if (!strcmp ("nowait", p))
result = PRAGMA_OMP_CLAUSE_NOWAIT;
else if (!strcmp ("num_threads", p))
result = PRAGMA_OMP_CLAUSE_NUM_THREADS;
break;
case 'o':
if (!strcmp ("ordered", p))
result = PRAGMA_OMP_CLAUSE_ORDERED;
break;
case 'p':
if (!strcmp ("private", p))
result = PRAGMA_OMP_CLAUSE_PRIVATE;
break;
case 'r':
if (!strcmp ("reduction", p))
result = PRAGMA_OMP_CLAUSE_REDUCTION;
break;
case 's':
if (!strcmp ("schedule", p))
result = PRAGMA_OMP_CLAUSE_SCHEDULE;
else if (!strcmp ("shared", p))
result = PRAGMA_OMP_CLAUSE_SHARED;
break;
case 'u':
if (!strcmp ("untied", p))
result = PRAGMA_OMP_CLAUSE_UNTIED;
break;
}
}
if (result != PRAGMA_OMP_CLAUSE_NONE)
c_parser_consume_token (parser);
return result;
}
/* Validate that a clause of the given type does not already exist. */
static void
check_no_duplicate_clause (tree clauses, enum omp_clause_code code,
const char *name)
{
tree c;
for (c = clauses; c ; c = OMP_CLAUSE_CHAIN (c))
if (OMP_CLAUSE_CODE (c) == code)
{
location_t loc = OMP_CLAUSE_LOCATION (c);
error_at (loc, "too many %qs clauses", name);
break;
}
}
/* OpenMP 2.5:
variable-list:
identifier
variable-list , identifier
If KIND is nonzero, create the appropriate node and install the
decl in OMP_CLAUSE_DECL and add the node to the head of the list.
If KIND is nonzero, CLAUSE_LOC is the location of the clause.
If KIND is zero, create a TREE_LIST with the decl in TREE_PURPOSE;
return the list created. */
static tree
c_parser_omp_variable_list (c_parser *parser,
location_t clause_loc,
enum omp_clause_code kind,
tree list)
{
if (c_parser_next_token_is_not (parser, CPP_NAME)
|| c_parser_peek_token (parser)->id_kind != C_ID_ID)
c_parser_error (parser, "expected identifier");
while (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_token (parser)->id_kind == C_ID_ID)
{
tree t = lookup_name (c_parser_peek_token (parser)->value);
if (t == NULL_TREE)
undeclared_variable (c_parser_peek_token (parser)->location,
c_parser_peek_token (parser)->value);
else if (t == error_mark_node)
;
else if (kind != 0)
{
tree u = build_omp_clause (clause_loc, kind);
OMP_CLAUSE_DECL (u) = t;
OMP_CLAUSE_CHAIN (u) = list;
list = u;
}
else
list = tree_cons (t, NULL_TREE, list);
c_parser_consume_token (parser);
if (c_parser_next_token_is_not (parser, CPP_COMMA))
break;
c_parser_consume_token (parser);
}
return list;
}
/* Similarly, but expect leading and trailing parenthesis. This is a very
common case for omp clauses. */
static tree
c_parser_omp_var_list_parens (c_parser *parser, enum omp_clause_code kind,
tree list)
{
/* The clauses location. */
location_t loc = c_parser_peek_token (parser)->location;
if (c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
list = c_parser_omp_variable_list (parser, loc, kind, list);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
return list;
}
/* OpenMP 3.0:
collapse ( constant-expression ) */
static tree
c_parser_omp_clause_collapse (c_parser *parser, tree list)
{
tree c, num = error_mark_node;
HOST_WIDE_INT n;
location_t loc;
check_no_duplicate_clause (list, OMP_CLAUSE_COLLAPSE, "collapse");
loc = c_parser_peek_token (parser)->location;
if (c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
num = c_parser_expr_no_commas (parser, NULL).value;
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
if (num == error_mark_node)
return list;
if (!INTEGRAL_TYPE_P (TREE_TYPE (num))
|| !host_integerp (num, 0)
|| (n = tree_low_cst (num, 0)) <= 0
|| (int) n != n)
{
error_at (loc,
"collapse argument needs positive constant integer expression");
return list;
}
c = build_omp_clause (loc, OMP_CLAUSE_COLLAPSE);
OMP_CLAUSE_COLLAPSE_EXPR (c) = num;
OMP_CLAUSE_CHAIN (c) = list;
return c;
}
/* OpenMP 2.5:
copyin ( variable-list ) */
static tree
c_parser_omp_clause_copyin (c_parser *parser, tree list)
{
return c_parser_omp_var_list_parens (parser, OMP_CLAUSE_COPYIN, list);
}
/* OpenMP 2.5:
copyprivate ( variable-list ) */
static tree
c_parser_omp_clause_copyprivate (c_parser *parser, tree list)
{
return c_parser_omp_var_list_parens (parser, OMP_CLAUSE_COPYPRIVATE, list);
}
/* OpenMP 2.5:
default ( shared | none ) */
static tree
c_parser_omp_clause_default (c_parser *parser, tree list)
{
enum omp_clause_default_kind kind = OMP_CLAUSE_DEFAULT_UNSPECIFIED;
location_t loc = c_parser_peek_token (parser)->location;
tree c;
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
return list;
if (c_parser_next_token_is (parser, CPP_NAME))
{
const char *p = IDENTIFIER_POINTER (c_parser_peek_token (parser)->value);
switch (p[0])
{
case 'n':
if (strcmp ("none", p) != 0)
goto invalid_kind;
kind = OMP_CLAUSE_DEFAULT_NONE;
break;
case 's':
if (strcmp ("shared", p) != 0)
goto invalid_kind;
kind = OMP_CLAUSE_DEFAULT_SHARED;
break;
default:
goto invalid_kind;
}
c_parser_consume_token (parser);
}
else
{
invalid_kind:
c_parser_error (parser, "expected %<none%> or %<shared%>");
}
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
if (kind == OMP_CLAUSE_DEFAULT_UNSPECIFIED)
return list;
check_no_duplicate_clause (list, OMP_CLAUSE_DEFAULT, "default");
c = build_omp_clause (loc, OMP_CLAUSE_DEFAULT);
OMP_CLAUSE_CHAIN (c) = list;
OMP_CLAUSE_DEFAULT_KIND (c) = kind;
return c;
}
/* OpenMP 2.5:
firstprivate ( variable-list ) */
static tree
c_parser_omp_clause_firstprivate (c_parser *parser, tree list)
{
return c_parser_omp_var_list_parens (parser, OMP_CLAUSE_FIRSTPRIVATE, list);
}
/* OpenMP 2.5:
if ( expression ) */
static tree
c_parser_omp_clause_if (c_parser *parser, tree list)
{
location_t loc = c_parser_peek_token (parser)->location;
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN))
{
tree t = c_parser_paren_condition (parser);
tree c;
check_no_duplicate_clause (list, OMP_CLAUSE_IF, "if");
c = build_omp_clause (loc, OMP_CLAUSE_IF);
OMP_CLAUSE_IF_EXPR (c) = t;
OMP_CLAUSE_CHAIN (c) = list;
list = c;
}
else
c_parser_error (parser, "expected %<(%>");
return list;
}
/* OpenMP 2.5:
lastprivate ( variable-list ) */
static tree
c_parser_omp_clause_lastprivate (c_parser *parser, tree list)
{
return c_parser_omp_var_list_parens (parser, OMP_CLAUSE_LASTPRIVATE, list);
}
/* OpenMP 2.5:
nowait */
static tree
c_parser_omp_clause_nowait (c_parser *parser ATTRIBUTE_UNUSED, tree list)
{
tree c;
location_t loc = c_parser_peek_token (parser)->location;
check_no_duplicate_clause (list, OMP_CLAUSE_NOWAIT, "nowait");
c = build_omp_clause (loc, OMP_CLAUSE_NOWAIT);
OMP_CLAUSE_CHAIN (c) = list;
return c;
}
/* OpenMP 2.5:
num_threads ( expression ) */
static tree
c_parser_omp_clause_num_threads (c_parser *parser, tree list)
{
location_t num_threads_loc = c_parser_peek_token (parser)->location;
if (c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
location_t expr_loc = c_parser_peek_token (parser)->location;
tree c, t = c_parser_expression (parser).value;
t = c_fully_fold (t, false, NULL);
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
if (!INTEGRAL_TYPE_P (TREE_TYPE (t)))
{
c_parser_error (parser, "expected integer expression");
return list;
}
/* Attempt to statically determine when the number isn't positive. */
c = fold_build2_loc (expr_loc, LE_EXPR, boolean_type_node, t,
build_int_cst (TREE_TYPE (t), 0));
if (CAN_HAVE_LOCATION_P (c))
SET_EXPR_LOCATION (c, expr_loc);
if (c == boolean_true_node)
{
warning_at (expr_loc, 0,
"%<num_threads%> value must be positive");
t = integer_one_node;
}
check_no_duplicate_clause (list, OMP_CLAUSE_NUM_THREADS, "num_threads");
c = build_omp_clause (num_threads_loc, OMP_CLAUSE_NUM_THREADS);
OMP_CLAUSE_NUM_THREADS_EXPR (c) = t;
OMP_CLAUSE_CHAIN (c) = list;
list = c;
}
return list;
}
/* OpenMP 2.5:
ordered */
static tree
c_parser_omp_clause_ordered (c_parser *parser, tree list)
{
tree c;
check_no_duplicate_clause (list, OMP_CLAUSE_ORDERED, "ordered");
c = build_omp_clause (c_parser_peek_token (parser)->location,
OMP_CLAUSE_ORDERED);
OMP_CLAUSE_CHAIN (c) = list;
return c;
}
/* OpenMP 2.5:
private ( variable-list ) */
static tree
c_parser_omp_clause_private (c_parser *parser, tree list)
{
return c_parser_omp_var_list_parens (parser, OMP_CLAUSE_PRIVATE, list);
}
/* OpenMP 2.5:
reduction ( reduction-operator : variable-list )
reduction-operator:
One of: + * - & ^ | && || */
static tree
c_parser_omp_clause_reduction (c_parser *parser, tree list)
{
location_t clause_loc = c_parser_peek_token (parser)->location;
if (c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
{
enum tree_code code;
switch (c_parser_peek_token (parser)->type)
{
case CPP_PLUS:
code = PLUS_EXPR;
break;
case CPP_MULT:
code = MULT_EXPR;
break;
case CPP_MINUS:
code = MINUS_EXPR;
break;
case CPP_AND:
code = BIT_AND_EXPR;
break;
case CPP_XOR:
code = BIT_XOR_EXPR;
break;
case CPP_OR:
code = BIT_IOR_EXPR;
break;
case CPP_AND_AND:
code = TRUTH_ANDIF_EXPR;
break;
case CPP_OR_OR:
code = TRUTH_ORIF_EXPR;
break;
default:
c_parser_error (parser,
"expected %<+%>, %<*%>, %<-%>, %<&%>, "
"%<^%>, %<|%>, %<&&%>, or %<||%>");
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, 0);
return list;
}
c_parser_consume_token (parser);
if (c_parser_require (parser, CPP_COLON, "expected %<:%>"))
{
tree nl, c;
nl = c_parser_omp_variable_list (parser, clause_loc,
OMP_CLAUSE_REDUCTION, list);
for (c = nl; c != list; c = OMP_CLAUSE_CHAIN (c))
OMP_CLAUSE_REDUCTION_CODE (c) = code;
list = nl;
}
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
return list;
}
/* OpenMP 2.5:
schedule ( schedule-kind )
schedule ( schedule-kind , expression )
schedule-kind:
static | dynamic | guided | runtime | auto
*/
static tree
c_parser_omp_clause_schedule (c_parser *parser, tree list)
{
tree c, t;
location_t loc = c_parser_peek_token (parser)->location;
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
return list;
c = build_omp_clause (loc, OMP_CLAUSE_SCHEDULE);
if (c_parser_next_token_is (parser, CPP_NAME))
{
tree kind = c_parser_peek_token (parser)->value;
const char *p = IDENTIFIER_POINTER (kind);
switch (p[0])
{
case 'd':
if (strcmp ("dynamic", p) != 0)
goto invalid_kind;
OMP_CLAUSE_SCHEDULE_KIND (c) = OMP_CLAUSE_SCHEDULE_DYNAMIC;
break;
case 'g':
if (strcmp ("guided", p) != 0)
goto invalid_kind;
OMP_CLAUSE_SCHEDULE_KIND (c) = OMP_CLAUSE_SCHEDULE_GUIDED;
break;
case 'r':
if (strcmp ("runtime", p) != 0)
goto invalid_kind;
OMP_CLAUSE_SCHEDULE_KIND (c) = OMP_CLAUSE_SCHEDULE_RUNTIME;
break;
default:
goto invalid_kind;
}
}
else if (c_parser_next_token_is_keyword (parser, RID_STATIC))
OMP_CLAUSE_SCHEDULE_KIND (c) = OMP_CLAUSE_SCHEDULE_STATIC;
else if (c_parser_next_token_is_keyword (parser, RID_AUTO))
OMP_CLAUSE_SCHEDULE_KIND (c) = OMP_CLAUSE_SCHEDULE_AUTO;
else
goto invalid_kind;
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_COMMA))
{
location_t here;
c_parser_consume_token (parser);
here = c_parser_peek_token (parser)->location;
t = c_parser_expr_no_commas (parser, NULL).value;
t = c_fully_fold (t, false, NULL);
if (OMP_CLAUSE_SCHEDULE_KIND (c) == OMP_CLAUSE_SCHEDULE_RUNTIME)
error_at (here, "schedule %<runtime%> does not take "
"a %<chunk_size%> parameter");
else if (OMP_CLAUSE_SCHEDULE_KIND (c) == OMP_CLAUSE_SCHEDULE_AUTO)
error_at (here,
"schedule %<auto%> does not take "
"a %<chunk_size%> parameter");
else if (TREE_CODE (TREE_TYPE (t)) == INTEGER_TYPE)
OMP_CLAUSE_SCHEDULE_CHUNK_EXPR (c) = t;
else
c_parser_error (parser, "expected integer expression");
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
else
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<,%> or %<)%>");
check_no_duplicate_clause (list, OMP_CLAUSE_SCHEDULE, "schedule");
OMP_CLAUSE_CHAIN (c) = list;
return c;
invalid_kind:
c_parser_error (parser, "invalid schedule kind");
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, 0);
return list;
}
/* OpenMP 2.5:
shared ( variable-list ) */
static tree
c_parser_omp_clause_shared (c_parser *parser, tree list)
{
return c_parser_omp_var_list_parens (parser, OMP_CLAUSE_SHARED, list);
}
/* OpenMP 3.0:
untied */
static tree
c_parser_omp_clause_untied (c_parser *parser ATTRIBUTE_UNUSED, tree list)
{
tree c;
/* FIXME: Should we allow duplicates? */
check_no_duplicate_clause (list, OMP_CLAUSE_UNTIED, "untied");
c = build_omp_clause (c_parser_peek_token (parser)->location,
OMP_CLAUSE_UNTIED);
OMP_CLAUSE_CHAIN (c) = list;
return c;
}
/* Parse all OpenMP clauses. The set clauses allowed by the directive
is a bitmask in MASK. Return the list of clauses found; the result
of clause default goes in *pdefault. */
static tree
c_parser_omp_all_clauses (c_parser *parser, unsigned int mask,
const char *where)
{
tree clauses = NULL;
bool first = true;
while (c_parser_next_token_is_not (parser, CPP_PRAGMA_EOL))
{
location_t here;
pragma_omp_clause c_kind;
const char *c_name;
tree prev = clauses;
if (!first && c_parser_next_token_is (parser, CPP_COMMA))
c_parser_consume_token (parser);
first = false;
here = c_parser_peek_token (parser)->location;
c_kind = c_parser_omp_clause_name (parser);
switch (c_kind)
{
case PRAGMA_OMP_CLAUSE_COLLAPSE:
clauses = c_parser_omp_clause_collapse (parser, clauses);
c_name = "collapse";
break;
case PRAGMA_OMP_CLAUSE_COPYIN:
clauses = c_parser_omp_clause_copyin (parser, clauses);
c_name = "copyin";
break;
case PRAGMA_OMP_CLAUSE_COPYPRIVATE:
clauses = c_parser_omp_clause_copyprivate (parser, clauses);
c_name = "copyprivate";
break;
case PRAGMA_OMP_CLAUSE_DEFAULT:
clauses = c_parser_omp_clause_default (parser, clauses);
c_name = "default";
break;
case PRAGMA_OMP_CLAUSE_FIRSTPRIVATE:
clauses = c_parser_omp_clause_firstprivate (parser, clauses);
c_name = "firstprivate";
break;
case PRAGMA_OMP_CLAUSE_IF:
clauses = c_parser_omp_clause_if (parser, clauses);
c_name = "if";
break;
case PRAGMA_OMP_CLAUSE_LASTPRIVATE:
clauses = c_parser_omp_clause_lastprivate (parser, clauses);
c_name = "lastprivate";
break;
case PRAGMA_OMP_CLAUSE_NOWAIT:
clauses = c_parser_omp_clause_nowait (parser, clauses);
c_name = "nowait";
break;
case PRAGMA_OMP_CLAUSE_NUM_THREADS:
clauses = c_parser_omp_clause_num_threads (parser, clauses);
c_name = "num_threads";
break;
case PRAGMA_OMP_CLAUSE_ORDERED:
clauses = c_parser_omp_clause_ordered (parser, clauses);
c_name = "ordered";
break;
case PRAGMA_OMP_CLAUSE_PRIVATE:
clauses = c_parser_omp_clause_private (parser, clauses);
c_name = "private";
break;
case PRAGMA_OMP_CLAUSE_REDUCTION:
clauses = c_parser_omp_clause_reduction (parser, clauses);
c_name = "reduction";
break;
case PRAGMA_OMP_CLAUSE_SCHEDULE:
clauses = c_parser_omp_clause_schedule (parser, clauses);
c_name = "schedule";
break;
case PRAGMA_OMP_CLAUSE_SHARED:
clauses = c_parser_omp_clause_shared (parser, clauses);
c_name = "shared";
break;
case PRAGMA_OMP_CLAUSE_UNTIED:
clauses = c_parser_omp_clause_untied (parser, clauses);
c_name = "untied";
break;
default:
c_parser_error (parser, "expected %<#pragma omp%> clause");
goto saw_error;
}
if (((mask >> c_kind) & 1) == 0 && !parser->error)
{
/* Remove the invalid clause(s) from the list to avoid
confusing the rest of the compiler. */
clauses = prev;
error_at (here, "%qs is not valid for %qs", c_name, where);
}
}
saw_error:
c_parser_skip_to_pragma_eol (parser);
return c_finish_omp_clauses (clauses);
}
/* OpenMP 2.5:
structured-block:
statement
In practice, we're also interested in adding the statement to an
outer node. So it is convenient if we work around the fact that
c_parser_statement calls add_stmt. */
static tree
c_parser_omp_structured_block (c_parser *parser)
{
tree stmt = push_stmt_list ();
c_parser_statement (parser);
return pop_stmt_list (stmt);
}
/* OpenMP 2.5:
# pragma omp atomic new-line
expression-stmt
expression-stmt:
x binop= expr | x++ | ++x | x-- | --x
binop:
+, *, -, /, &, ^, |, <<, >>
where x is an lvalue expression with scalar type.
LOC is the location of the #pragma token. */
static void
c_parser_omp_atomic (location_t loc, c_parser *parser)
{
tree lhs, rhs;
tree stmt;
enum tree_code code;
struct c_expr rhs_expr;
c_parser_skip_to_pragma_eol (parser);
lhs = c_parser_unary_expression (parser).value;
lhs = c_fully_fold (lhs, false, NULL);
switch (TREE_CODE (lhs))
{
case ERROR_MARK:
saw_error:
c_parser_skip_to_end_of_block_or_statement (parser);
return;
case PREINCREMENT_EXPR:
case POSTINCREMENT_EXPR:
lhs = TREE_OPERAND (lhs, 0);
code = PLUS_EXPR;
rhs = integer_one_node;
break;
case PREDECREMENT_EXPR:
case POSTDECREMENT_EXPR:
lhs = TREE_OPERAND (lhs, 0);
code = MINUS_EXPR;
rhs = integer_one_node;
break;
default:
switch (c_parser_peek_token (parser)->type)
{
case CPP_MULT_EQ:
code = MULT_EXPR;
break;
case CPP_DIV_EQ:
code = TRUNC_DIV_EXPR;
break;
case CPP_PLUS_EQ:
code = PLUS_EXPR;
break;
case CPP_MINUS_EQ:
code = MINUS_EXPR;
break;
case CPP_LSHIFT_EQ:
code = LSHIFT_EXPR;
break;
case CPP_RSHIFT_EQ:
code = RSHIFT_EXPR;
break;
case CPP_AND_EQ:
code = BIT_AND_EXPR;
break;
case CPP_OR_EQ:
code = BIT_IOR_EXPR;
break;
case CPP_XOR_EQ:
code = BIT_XOR_EXPR;
break;
default:
c_parser_error (parser,
"invalid operator for %<#pragma omp atomic%>");
goto saw_error;
}
c_parser_consume_token (parser);
{
location_t rhs_loc = c_parser_peek_token (parser)->location;
rhs_expr = c_parser_expression (parser);
rhs_expr = default_function_array_conversion (rhs_loc, rhs_expr);
}
rhs = rhs_expr.value;
rhs = c_fully_fold (rhs, false, NULL);
break;
}
stmt = c_finish_omp_atomic (loc, code, lhs, rhs);
if (stmt != error_mark_node)
add_stmt (stmt);
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
}
/* OpenMP 2.5:
# pragma omp barrier new-line
*/
static void
c_parser_omp_barrier (c_parser *parser)
{
location_t loc = c_parser_peek_token (parser)->location;
c_parser_consume_pragma (parser);
c_parser_skip_to_pragma_eol (parser);
c_finish_omp_barrier (loc);
}
/* OpenMP 2.5:
# pragma omp critical [(name)] new-line
structured-block
LOC is the location of the #pragma itself. */
static tree
c_parser_omp_critical (location_t loc, c_parser *parser)
{
tree stmt, name = NULL;
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN))
{
c_parser_consume_token (parser);
if (c_parser_next_token_is (parser, CPP_NAME))
{
name = c_parser_peek_token (parser)->value;
c_parser_consume_token (parser);
c_parser_require (parser, CPP_CLOSE_PAREN, "expected %<)%>");
}
else
c_parser_error (parser, "expected identifier");
}
else if (c_parser_next_token_is_not (parser, CPP_PRAGMA_EOL))
c_parser_error (parser, "expected %<(%> or end of line");
c_parser_skip_to_pragma_eol (parser);
stmt = c_parser_omp_structured_block (parser);
return c_finish_omp_critical (loc, stmt, name);
}
/* OpenMP 2.5:
# pragma omp flush flush-vars[opt] new-line
flush-vars:
( variable-list ) */
static void
c_parser_omp_flush (c_parser *parser)
{
location_t loc = c_parser_peek_token (parser)->location;
c_parser_consume_pragma (parser);
if (c_parser_next_token_is (parser, CPP_OPEN_PAREN))
c_parser_omp_var_list_parens (parser, OMP_CLAUSE_ERROR, NULL);
else if (c_parser_next_token_is_not (parser, CPP_PRAGMA_EOL))
c_parser_error (parser, "expected %<(%> or end of line");
c_parser_skip_to_pragma_eol (parser);
c_finish_omp_flush (loc);
}
/* Parse the restricted form of the for statement allowed by OpenMP.
The real trick here is to determine the loop control variable early
so that we can push a new decl if necessary to make it private.
LOC is the location of the OMP in "#pragma omp". */
static tree
c_parser_omp_for_loop (location_t loc,
c_parser *parser, tree clauses, tree *par_clauses)
{
tree decl, cond, incr, save_break, save_cont, body, init, stmt, cl;
tree declv, condv, incrv, initv, for_block = NULL, ret = NULL;
bool fail = false, open_brace_parsed = false;
int i, collapse = 1, nbraces = 0;
location_t for_loc;
for (cl = clauses; cl; cl = OMP_CLAUSE_CHAIN (cl))
if (OMP_CLAUSE_CODE (cl) == OMP_CLAUSE_COLLAPSE)
collapse = tree_low_cst (OMP_CLAUSE_COLLAPSE_EXPR (cl), 0);
gcc_assert (collapse >= 1);
declv = make_tree_vec (collapse);
initv = make_tree_vec (collapse);
condv = make_tree_vec (collapse);
incrv = make_tree_vec (collapse);
if (!c_parser_next_token_is_keyword (parser, RID_FOR))
{
c_parser_error (parser, "for statement expected");
return NULL;
}
for_loc = c_parser_peek_token (parser)->location;
c_parser_consume_token (parser);
for (i = 0; i < collapse; i++)
{
int bracecount = 0;
if (!c_parser_require (parser, CPP_OPEN_PAREN, "expected %<(%>"))
goto pop_scopes;
/* Parse the initialization declaration or expression. */
if (c_parser_next_token_starts_declspecs (parser))
{
if (i > 0)
for_block
= tree_cons (NULL, c_begin_compound_stmt (true), for_block);
c_parser_declaration_or_fndef (parser, true, true, true, true);
decl = check_for_loop_decls (for_loc);
if (decl == NULL)
goto error_init;
if (DECL_INITIAL (decl) == error_mark_node)
decl = error_mark_node;
init = decl;
}
else if (c_parser_next_token_is (parser, CPP_NAME)
&& c_parser_peek_2nd_token (parser)->type == CPP_EQ)
{
struct c_expr decl_exp;
struct c_expr init_exp;
location_t init_loc;
decl_exp = c_parser_postfix_expression (parser);
decl = decl_exp.value;
c_parser_require (parser, CPP_EQ, "expected %<=%>");
init_loc = c_parser_peek_token (parser)->location;
init_exp = c_parser_expr_no_commas (parser, NULL);
init_exp = default_function_array_conversion (init_loc, init_exp);
init = build_modify_expr (init_loc, decl, decl_exp.original_type,
NOP_EXPR, init_loc, init_exp.value,
init_exp.original_type);
init = c_process_expr_stmt (init_loc, init);
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
}
else
{
error_init:
c_parser_error (parser,
"expected iteration declaration or initialization");
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN,
"expected %<)%>");
fail = true;
goto parse_next;
}
/* Parse the loop condition. */
cond = NULL_TREE;
if (c_parser_next_token_is_not (parser, CPP_SEMICOLON))
{
location_t cond_loc = c_parser_peek_token (parser)->location;
struct c_expr cond_expr = c_parser_binary_expression (parser, NULL);
cond = cond_expr.value;
cond = c_objc_common_truthvalue_conversion (cond_loc, cond);
cond = c_fully_fold (cond, false, NULL);
switch (cond_expr.original_code)
{
case GT_EXPR:
case GE_EXPR:
case LT_EXPR:
case LE_EXPR:
break;
default:
/* Can't be cond = error_mark_node, because we want to preserve
the location until c_finish_omp_for. */
cond = build1 (NOP_EXPR, boolean_type_node, error_mark_node);
break;
}
protected_set_expr_location (cond, cond_loc);
}
c_parser_skip_until_found (parser, CPP_SEMICOLON, "expected %<;%>");
/* Parse the increment expression. */
incr = NULL_TREE;
if (c_parser_next_token_is_not (parser, CPP_CLOSE_PAREN))
{
location_t incr_loc = c_parser_peek_token (parser)->location;
incr = c_process_expr_stmt (incr_loc,
c_parser_expression (parser).value);
}
c_parser_skip_until_found (parser, CPP_CLOSE_PAREN, "expected %<)%>");
if (decl == NULL || decl == error_mark_node || init == error_mark_node)
fail = true;
else
{
TREE_VEC_ELT (declv, i) = decl;
TREE_VEC_ELT (initv, i) = init;
TREE_VEC_ELT (condv, i) = cond;
TREE_VEC_ELT (incrv, i) = incr;
}
parse_next:
if (i == collapse - 1)
break;
/* FIXME: OpenMP 3.0 draft isn't very clear on what exactly is allowed
in between the collapsed for loops to be still considered perfectly
nested. Hopefully the final version clarifies this.
For now handle (multiple) {'s and empty statements. */
do
{
if (c_parser_next_token_is_keyword (parser, RID_FOR))
{
c_parser_consume_token (parser);
break;
}
else if (c_parser_next_token_is (parser, CPP_OPEN_BRACE))
{
c_parser_consume_token (parser);
bracecount++;
}
else if (bracecount
&& c_parser_next_token_is (parser, CPP_SEMICOLON))
c_parser_consume_token (parser);
else
{
c_parser_error (parser, "not enough perfectly nested loops");
if (bracecount)
{
open_brace_parsed = true;
bracecount--;
}
fail = true;
collapse = 0;
break;
}
}
while (1);
nbraces += bracecount;
}
save_break = c_break_label;
c_break_label = size_one_node;
save_cont = c_cont_label;
c_cont_label = NULL_TREE;
body = push_stmt_list ();
if (open_brace_parsed)
{
location_t here = c_parser_peek_token (parser)->location;
stmt = c_begin_compound_stmt (true);
c_parser_compound_statement_nostart (parser);
add_stmt (c_end_compound_stmt (here, stmt, true));
}
else
add_stmt (c_parser_c99_block_statement (parser));
if (c_cont_label)
{
tree t = build1 (LABEL_EXPR, void_type_node, c_cont_label);
SET_EXPR_LOCATION (t, loc);
add_stmt (t);
}
body = pop_stmt_list (body);
c_break_label = save_break;
c_cont_label = save_cont;
while (nbraces)
{
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
{
c_parser_consume_token (parser);
nbraces--;
}
else if (c_parser_next_token_is (parser, CPP_SEMICOLON))
c_parser_consume_token (parser);
else
{
c_parser_error (parser, "collapsed loops not perfectly nested");
while (nbraces)
{
location_t here = c_parser_peek_token (parser)->location;
stmt = c_begin_compound_stmt (true);
add_stmt (body);
c_parser_compound_statement_nostart (parser);
body = c_end_compound_stmt (here, stmt, true);
nbraces--;
}
goto pop_scopes;
}
}
/* Only bother calling c_finish_omp_for if we haven't already generated
an error from the initialization parsing. */
if (!fail)
{
stmt = c_finish_omp_for (loc, declv, initv, condv, incrv, body, NULL);
if (stmt)
{
if (par_clauses != NULL)
{
tree *c;
for (c = par_clauses; *c ; )
if (OMP_CLAUSE_CODE (*c) != OMP_CLAUSE_FIRSTPRIVATE
&& OMP_CLAUSE_CODE (*c) != OMP_CLAUSE_LASTPRIVATE)
c = &OMP_CLAUSE_CHAIN (*c);
else
{
for (i = 0; i < collapse; i++)
if (TREE_VEC_ELT (declv, i) == OMP_CLAUSE_DECL (*c))
break;
if (i == collapse)
c = &OMP_CLAUSE_CHAIN (*c);
else if (OMP_CLAUSE_CODE (*c) == OMP_CLAUSE_FIRSTPRIVATE)
{
error_at (loc,
"iteration variable %qD should not be firstprivate",
OMP_CLAUSE_DECL (*c));
*c = OMP_CLAUSE_CHAIN (*c);
}
else
{
/* Copy lastprivate (decl) clause to OMP_FOR_CLAUSES,
change it to shared (decl) in
OMP_PARALLEL_CLAUSES. */
tree l = build_omp_clause (OMP_CLAUSE_LOCATION (*c),
OMP_CLAUSE_LASTPRIVATE);
OMP_CLAUSE_DECL (l) = OMP_CLAUSE_DECL (*c);
OMP_CLAUSE_CHAIN (l) = clauses;
clauses = l;
OMP_CLAUSE_SET_CODE (*c, OMP_CLAUSE_SHARED);
}
}
}
OMP_FOR_CLAUSES (stmt) = clauses;
}
ret = stmt;
}
pop_scopes:
while (for_block)
{
/* FIXME diagnostics: LOC below should be the actual location of
this particular for block. We need to build a list of
locations to go along with FOR_BLOCK. */
stmt = c_end_compound_stmt (loc, TREE_VALUE (for_block), true);
add_stmt (stmt);
for_block = TREE_CHAIN (for_block);
}
return ret;
}
/* OpenMP 2.5:
#pragma omp for for-clause[optseq] new-line
for-loop
LOC is the location of the #pragma token.
*/
#define OMP_FOR_CLAUSE_MASK \
( (1u << PRAGMA_OMP_CLAUSE_PRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_FIRSTPRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_LASTPRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_REDUCTION) \
| (1u << PRAGMA_OMP_CLAUSE_ORDERED) \
| (1u << PRAGMA_OMP_CLAUSE_SCHEDULE) \
| (1u << PRAGMA_OMP_CLAUSE_COLLAPSE) \
| (1u << PRAGMA_OMP_CLAUSE_NOWAIT))
static tree
c_parser_omp_for (location_t loc, c_parser *parser)
{
tree block, clauses, ret;
clauses = c_parser_omp_all_clauses (parser, OMP_FOR_CLAUSE_MASK,
"#pragma omp for");
block = c_begin_compound_stmt (true);
ret = c_parser_omp_for_loop (loc, parser, clauses, NULL);
block = c_end_compound_stmt (loc, block, true);
add_stmt (block);
return ret;
}
/* OpenMP 2.5:
# pragma omp master new-line
structured-block
LOC is the location of the #pragma token.
*/
static tree
c_parser_omp_master (location_t loc, c_parser *parser)
{
c_parser_skip_to_pragma_eol (parser);
return c_finish_omp_master (loc, c_parser_omp_structured_block (parser));
}
/* OpenMP 2.5:
# pragma omp ordered new-line
structured-block
LOC is the location of the #pragma itself.
*/
static tree
c_parser_omp_ordered (location_t loc, c_parser *parser)
{
c_parser_skip_to_pragma_eol (parser);
return c_finish_omp_ordered (loc, c_parser_omp_structured_block (parser));
}
/* OpenMP 2.5:
section-scope:
{ section-sequence }
section-sequence:
section-directive[opt] structured-block
section-sequence section-directive structured-block
SECTIONS_LOC is the location of the #pragma omp sections. */
static tree
c_parser_omp_sections_scope (location_t sections_loc, c_parser *parser)
{
tree stmt, substmt;
bool error_suppress = false;
location_t loc;
loc = c_parser_peek_token (parser)->location;
if (!c_parser_require (parser, CPP_OPEN_BRACE, "expected %<{%>"))
{
/* Avoid skipping until the end of the block. */
parser->error = false;
return NULL_TREE;
}
stmt = push_stmt_list ();
if (c_parser_peek_token (parser)->pragma_kind != PRAGMA_OMP_SECTION)
{
substmt = push_stmt_list ();
while (1)
{
c_parser_statement (parser);
if (c_parser_peek_token (parser)->pragma_kind == PRAGMA_OMP_SECTION)
break;
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
break;
if (c_parser_next_token_is (parser, CPP_EOF))
break;
}
substmt = pop_stmt_list (substmt);
substmt = build1 (OMP_SECTION, void_type_node, substmt);
SET_EXPR_LOCATION (substmt, loc);
add_stmt (substmt);
}
while (1)
{
if (c_parser_next_token_is (parser, CPP_CLOSE_BRACE))
break;
if (c_parser_next_token_is (parser, CPP_EOF))
break;
loc = c_parser_peek_token (parser)->location;
if (c_parser_peek_token (parser)->pragma_kind == PRAGMA_OMP_SECTION)
{
c_parser_consume_pragma (parser);
c_parser_skip_to_pragma_eol (parser);
error_suppress = false;
}
else if (!error_suppress)
{
error_at (loc, "expected %<#pragma omp section%> or %<}%>");
error_suppress = true;
}
substmt = c_parser_omp_structured_block (parser);
substmt = build1 (OMP_SECTION, void_type_node, substmt);
SET_EXPR_LOCATION (substmt, loc);
add_stmt (substmt);
}
c_parser_skip_until_found (parser, CPP_CLOSE_BRACE,
"expected %<#pragma omp section%> or %<}%>");
substmt = pop_stmt_list (stmt);
stmt = make_node (OMP_SECTIONS);
SET_EXPR_LOCATION (stmt, sections_loc);
TREE_TYPE (stmt) = void_type_node;
OMP_SECTIONS_BODY (stmt) = substmt;
return add_stmt (stmt);
}
/* OpenMP 2.5:
# pragma omp sections sections-clause[optseq] newline
sections-scope
LOC is the location of the #pragma token.
*/
#define OMP_SECTIONS_CLAUSE_MASK \
( (1u << PRAGMA_OMP_CLAUSE_PRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_FIRSTPRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_LASTPRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_REDUCTION) \
| (1u << PRAGMA_OMP_CLAUSE_NOWAIT))
static tree
c_parser_omp_sections (location_t loc, c_parser *parser)
{
tree block, clauses, ret;
clauses = c_parser_omp_all_clauses (parser, OMP_SECTIONS_CLAUSE_MASK,
"#pragma omp sections");
block = c_begin_compound_stmt (true);
ret = c_parser_omp_sections_scope (loc, parser);
if (ret)
OMP_SECTIONS_CLAUSES (ret) = clauses;
block = c_end_compound_stmt (loc, block, true);
add_stmt (block);
return ret;
}
/* OpenMP 2.5:
# pragma parallel parallel-clause new-line
# pragma parallel for parallel-for-clause new-line
# pragma parallel sections parallel-sections-clause new-line
LOC is the location of the #pragma token.
*/
#define OMP_PARALLEL_CLAUSE_MASK \
( (1u << PRAGMA_OMP_CLAUSE_IF) \
| (1u << PRAGMA_OMP_CLAUSE_PRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_FIRSTPRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_DEFAULT) \
| (1u << PRAGMA_OMP_CLAUSE_SHARED) \
| (1u << PRAGMA_OMP_CLAUSE_COPYIN) \
| (1u << PRAGMA_OMP_CLAUSE_REDUCTION) \
| (1u << PRAGMA_OMP_CLAUSE_NUM_THREADS))
static tree
c_parser_omp_parallel (location_t loc, c_parser *parser)
{
enum pragma_kind p_kind = PRAGMA_OMP_PARALLEL;
const char *p_name = "#pragma omp parallel";
tree stmt, clauses, par_clause, ws_clause, block;
unsigned int mask = OMP_PARALLEL_CLAUSE_MASK;
if (c_parser_next_token_is_keyword (parser, RID_FOR))
{
c_parser_consume_token (parser);
p_kind = PRAGMA_OMP_PARALLEL_FOR;
p_name = "#pragma omp parallel for";
mask |= OMP_FOR_CLAUSE_MASK;
mask &= ~(1u << PRAGMA_OMP_CLAUSE_NOWAIT);
}
else if (c_parser_next_token_is (parser, CPP_NAME))
{
const char *p = IDENTIFIER_POINTER (c_parser_peek_token (parser)->value);
if (strcmp (p, "sections") == 0)
{
c_parser_consume_token (parser);
p_kind = PRAGMA_OMP_PARALLEL_SECTIONS;
p_name = "#pragma omp parallel sections";
mask |= OMP_SECTIONS_CLAUSE_MASK;
mask &= ~(1u << PRAGMA_OMP_CLAUSE_NOWAIT);
}
}
clauses = c_parser_omp_all_clauses (parser, mask, p_name);
switch (p_kind)
{
case PRAGMA_OMP_PARALLEL:
block = c_begin_omp_parallel ();
c_parser_statement (parser);
stmt = c_finish_omp_parallel (loc, clauses, block);
break;
case PRAGMA_OMP_PARALLEL_FOR:
block = c_begin_omp_parallel ();
c_split_parallel_clauses (loc, clauses, &par_clause, &ws_clause);
c_parser_omp_for_loop (loc, parser, ws_clause, &par_clause);
stmt = c_finish_omp_parallel (loc, par_clause, block);
OMP_PARALLEL_COMBINED (stmt) = 1;
break;
case PRAGMA_OMP_PARALLEL_SECTIONS:
block = c_begin_omp_parallel ();
c_split_parallel_clauses (loc, clauses, &par_clause, &ws_clause);
stmt = c_parser_omp_sections_scope (loc, parser);
if (stmt)
OMP_SECTIONS_CLAUSES (stmt) = ws_clause;
stmt = c_finish_omp_parallel (loc, par_clause, block);
OMP_PARALLEL_COMBINED (stmt) = 1;
break;
default:
gcc_unreachable ();
}
return stmt;
}
/* OpenMP 2.5:
# pragma omp single single-clause[optseq] new-line
structured-block
LOC is the location of the #pragma.
*/
#define OMP_SINGLE_CLAUSE_MASK \
( (1u << PRAGMA_OMP_CLAUSE_PRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_FIRSTPRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_COPYPRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_NOWAIT))
static tree
c_parser_omp_single (location_t loc, c_parser *parser)
{
tree stmt = make_node (OMP_SINGLE);
SET_EXPR_LOCATION (stmt, loc);
TREE_TYPE (stmt) = void_type_node;
OMP_SINGLE_CLAUSES (stmt)
= c_parser_omp_all_clauses (parser, OMP_SINGLE_CLAUSE_MASK,
"#pragma omp single");
OMP_SINGLE_BODY (stmt) = c_parser_omp_structured_block (parser);
return add_stmt (stmt);
}
/* OpenMP 3.0:
# pragma omp task task-clause[optseq] new-line
LOC is the location of the #pragma.
*/
#define OMP_TASK_CLAUSE_MASK \
( (1u << PRAGMA_OMP_CLAUSE_IF) \
| (1u << PRAGMA_OMP_CLAUSE_UNTIED) \
| (1u << PRAGMA_OMP_CLAUSE_DEFAULT) \
| (1u << PRAGMA_OMP_CLAUSE_PRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_FIRSTPRIVATE) \
| (1u << PRAGMA_OMP_CLAUSE_SHARED))
static tree
c_parser_omp_task (location_t loc, c_parser *parser)
{
tree clauses, block;
clauses = c_parser_omp_all_clauses (parser, OMP_TASK_CLAUSE_MASK,
"#pragma omp task");
block = c_begin_omp_task ();
c_parser_statement (parser);
return c_finish_omp_task (loc, clauses, block);
}
/* OpenMP 3.0:
# pragma omp taskwait new-line
*/
static void
c_parser_omp_taskwait (c_parser *parser)
{
location_t loc = c_parser_peek_token (parser)->location;
c_parser_consume_pragma (parser);
c_parser_skip_to_pragma_eol (parser);
c_finish_omp_taskwait (loc);
}
/* Main entry point to parsing most OpenMP pragmas. */
static void
c_parser_omp_construct (c_parser *parser)
{
enum pragma_kind p_kind;
location_t loc;
tree stmt;
loc = c_parser_peek_token (parser)->location;
p_kind = c_parser_peek_token (parser)->pragma_kind;
c_parser_consume_pragma (parser);
switch (p_kind)
{
case PRAGMA_OMP_ATOMIC:
c_parser_omp_atomic (loc, parser);
return;
case PRAGMA_OMP_CRITICAL:
stmt = c_parser_omp_critical (loc, parser);
break;
case PRAGMA_OMP_FOR:
stmt = c_parser_omp_for (loc, parser);
break;
case PRAGMA_OMP_MASTER:
stmt = c_parser_omp_master (loc, parser);
break;
case PRAGMA_OMP_ORDERED:
stmt = c_parser_omp_ordered (loc, parser);
break;
case PRAGMA_OMP_PARALLEL:
stmt = c_parser_omp_parallel (loc, parser);
break;
case PRAGMA_OMP_SECTIONS:
stmt = c_parser_omp_sections (loc, parser);
break;
case PRAGMA_OMP_SINGLE:
stmt = c_parser_omp_single (loc, parser);
break;
case PRAGMA_OMP_TASK:
stmt = c_parser_omp_task (loc, parser);
break;
default:
gcc_unreachable ();
}
if (stmt)
gcc_assert (EXPR_LOCATION (stmt) != UNKNOWN_LOCATION);
}
/* OpenMP 2.5:
# pragma omp threadprivate (variable-list) */
static void
c_parser_omp_threadprivate (c_parser *parser)
{
tree vars, t;
location_t loc;
c_parser_consume_pragma (parser);
loc = c_parser_peek_token (parser)->location;
vars = c_parser_omp_var_list_parens (parser, OMP_CLAUSE_ERROR, NULL);
/* Mark every variable in VARS to be assigned thread local storage. */
for (t = vars; t; t = TREE_CHAIN (t))
{
tree v = TREE_PURPOSE (t);
/* FIXME diagnostics: Ideally we should keep individual
locations for all the variables in the var list to make the
following errors more precise. Perhaps
c_parser_omp_var_list_parens() should construct a list of
locations to go along with the var list. */
/* If V had already been marked threadprivate, it doesn't matter
whether it had been used prior to this point. */
if (TREE_CODE (v) != VAR_DECL)
error_at (loc, "%qD is not a variable", v);
else if (TREE_USED (v) && !C_DECL_THREADPRIVATE_P (v))
error_at (loc, "%qE declared %<threadprivate%> after first use", v);
else if (! TREE_STATIC (v) && ! DECL_EXTERNAL (v))
error_at (loc, "automatic variable %qE cannot be %<threadprivate%>", v);
else if (TREE_TYPE (v) == error_mark_node)
;
else if (! COMPLETE_TYPE_P (TREE_TYPE (v)))
error_at (loc, "%<threadprivate%> %qE has incomplete type", v);
else
{
if (! DECL_THREAD_LOCAL_P (v))
{
DECL_TLS_MODEL (v) = decl_default_tls_model (v);
/* If rtl has been already set for this var, call
make_decl_rtl once again, so that encode_section_info
has a chance to look at the new decl flags. */
if (DECL_RTL_SET_P (v))
make_decl_rtl (v);
}
C_DECL_THREADPRIVATE_P (v) = 1;
}
}
c_parser_skip_to_pragma_eol (parser);
}
/* Parse a single source file. */
void
c_parse_file (void)
{
/* Use local storage to begin. If the first token is a pragma, parse it.
If it is #pragma GCC pch_preprocess, then this will load a PCH file
which will cause garbage collection. */
c_parser tparser;
memset (&tparser, 0, sizeof tparser);
the_parser = &tparser;
if (c_parser_peek_token (&tparser)->pragma_kind == PRAGMA_GCC_PCH_PREPROCESS)
c_parser_pragma_pch_preprocess (&tparser);
the_parser = GGC_NEW (c_parser);
*the_parser = tparser;
/* Initialize EH, if we've been told to do so. */
if (flag_exceptions)
using_eh_for_cleanups ();
c_parser_translation_unit (the_parser);
the_parser = NULL;
}
#include "gt-c-parser.h"
|
omp_sumarray.c | #include <omp.h>
#include <stdio.h>
#include <stdlib.h>
int main(int argc, char ** argv)
{
const size_t N = 10000;
int a[N];
#pragma omp parallel for
for (int i = 0; i < N; ++i)
{
a[i] = i;
}
int sum = 0;
#pragma omp parallel for reduction(+: sum)
for (int i = 0; i < N; ++i)
{
sum += a[i];
}
printf("sum = %d\n", sum);
return 0;
} |
par_multi_interp.c | /******************************************************************************
* Copyright (c) 1998 Lawrence Livermore National Security, LLC and other
* HYPRE Project Developers. See the top-level COPYRIGHT file for details.
*
* SPDX-License-Identifier: (Apache-2.0 OR MIT)
******************************************************************************/
#include "_hypre_parcsr_ls.h"
/*--------------------------------------------------------------------------
* hypre_ParAMGBuildMultipass
* This routine implements Stuben's direct interpolation with multiple passes.
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildMultipassHost( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int P_max_elmts,
HYPRE_Int weight_option,
hypre_ParCSRMatrix **P_ptr )
{
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_MULTIPASS_INTERP] -= hypre_MPI_Wtime();
#endif
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(S);
hypre_ParCSRCommHandle *comm_handle;
hypre_ParCSRCommPkg *tmp_comm_pkg;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = NULL;
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = NULL;
//HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
HYPRE_Int num_cols_offd_A = hypre_CSRMatrixNumCols(A_offd);
hypre_CSRMatrix *S_diag = hypre_ParCSRMatrixDiag(S);
HYPRE_Int *S_diag_i = hypre_CSRMatrixI(S_diag);
HYPRE_Int *S_diag_j = hypre_CSRMatrixJ(S_diag);
hypre_CSRMatrix *S_offd = hypre_ParCSRMatrixOffd(S);
HYPRE_Int *S_offd_i = hypre_CSRMatrixI(S_offd);
HYPRE_Int *S_offd_j = NULL;
/*HYPRE_BigInt *col_map_offd_S = hypre_ParCSRMatrixColMapOffd(S);
HYPRE_Int num_cols_offd_S = hypre_CSRMatrixNumCols(S_offd);
HYPRE_BigInt *col_map_offd = NULL;*/
HYPRE_Int num_cols_offd;
hypre_ParCSRMatrix *P;
hypre_CSRMatrix *P_diag;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i; /*at first counter of nonzero cols for each row,
finally will be pointer to start of row */
HYPRE_Int *P_diag_j;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_offd_data = NULL;
HYPRE_Int *P_offd_i; /*at first counter of nonzero cols for each row,
finally will be pointer to start of row */
HYPRE_Int *P_offd_j = NULL;
HYPRE_Int num_sends = 0;
HYPRE_Int *int_buf_data = NULL;
HYPRE_BigInt *big_buf_data = NULL;
HYPRE_Int *send_map_start;
HYPRE_Int *send_map_elmt;
HYPRE_Int *send_procs;
HYPRE_Int num_recvs = 0;
HYPRE_Int *recv_vec_start;
HYPRE_Int *recv_procs;
HYPRE_Int *new_recv_vec_start = NULL;
HYPRE_Int **Pext_send_map_start = NULL;
HYPRE_Int **Pext_recv_vec_start = NULL;
HYPRE_Int *Pext_start = NULL;
HYPRE_Int *P_ncols = NULL;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
HYPRE_Int *P_marker;
HYPRE_Int *P_marker_offd = NULL;
HYPRE_Int *C_array;
HYPRE_Int *C_array_offd = NULL;
HYPRE_Int *pass_array = NULL; /* contains points ordered according to pass */
HYPRE_Int *pass_pointer = NULL; /* pass_pointer[j] contains pointer to first
point of pass j contained in pass_array */
HYPRE_Int *P_diag_start;
HYPRE_Int *P_offd_start = NULL;
HYPRE_Int **P_diag_pass;
HYPRE_Int **P_offd_pass = NULL;
HYPRE_Int **Pext_pass = NULL;
HYPRE_BigInt *big_temp_pass = NULL;
HYPRE_BigInt **new_elmts = NULL; /* new neighbors generated in each pass */
HYPRE_Int *new_counter = NULL; /* contains no. of new neighbors for
each pass */
HYPRE_Int *loc = NULL; /* contains locations for new neighbor
connections in int_o_buffer to avoid searching */
HYPRE_Int *Pext_i = NULL; /*contains P_diag_i and P_offd_i info for nonzero
cols of off proc neighbors */
HYPRE_BigInt *Pext_send_buffer = NULL; /* used to collect global nonzero
col ids in P_diag for send_map_elmts */
HYPRE_Int *map_S_to_new = NULL;
HYPRE_BigInt *new_col_map_offd = NULL;
HYPRE_BigInt *col_map_offd_P = NULL;
HYPRE_Int *permute = NULL;
HYPRE_BigInt *big_permute = NULL;
HYPRE_Int cnt;
HYPRE_Int cnt_nz;
HYPRE_Int total_nz;
HYPRE_Int pass;
HYPRE_Int num_passes;
HYPRE_Int max_num_passes = 10;
HYPRE_Int n_fine;
HYPRE_Int n_coarse = 0;
HYPRE_Int n_coarse_offd = 0;
HYPRE_Int n_SF = 0;
HYPRE_Int n_SF_offd = 0;
HYPRE_Int *fine_to_coarse = NULL;
HYPRE_BigInt *fine_to_coarse_offd = NULL;
HYPRE_Int *assigned = NULL;
HYPRE_Int *assigned_offd = NULL;
HYPRE_Real *Pext_send_data = NULL;
HYPRE_Real *Pext_data = NULL;
HYPRE_Real sum_C, sum_N;
HYPRE_Real sum_C_pos, sum_C_neg;
HYPRE_Real sum_N_pos, sum_N_neg;
HYPRE_Real diagonal;
HYPRE_Real alfa = 1.0;
HYPRE_Real beta = 1.0;
HYPRE_Int j_start;
HYPRE_Int j_end;
HYPRE_Int i, i1;
HYPRE_Int j, j1;
HYPRE_Int k, k1, k2, k3;
HYPRE_BigInt big_k1;
HYPRE_Int pass_array_size;
HYPRE_BigInt global_pass_array_size;
HYPRE_BigInt local_pass_array_size;
HYPRE_Int my_id, num_procs;
HYPRE_Int index, start;
HYPRE_BigInt my_first_cpt;
HYPRE_BigInt total_global_cpts;
HYPRE_Int p_cnt;
HYPRE_Int total_nz_offd;
HYPRE_Int cnt_nz_offd;
HYPRE_Int cnt_offd, cnt_new;
HYPRE_Int no_break;
HYPRE_Int not_found;
HYPRE_Int Pext_send_size;
HYPRE_Int Pext_recv_size;
HYPRE_Int old_Pext_send_size;
HYPRE_Int old_Pext_recv_size;
HYPRE_Int P_offd_size = 0;
HYPRE_Int local_index = -1;
HYPRE_Int new_num_cols_offd = 0;
HYPRE_Int num_cols_offd_P;
/* Threading variables */
HYPRE_Int my_thread_num, num_threads, thread_start, thread_stop;
HYPRE_Int pass_length;
HYPRE_Int *tmp_marker, *tmp_marker_offd;
HYPRE_Int *tmp_array, *tmp_array_offd;
HYPRE_Int * max_num_threads = hypre_CTAlloc(HYPRE_Int, 1, HYPRE_MEMORY_HOST);
HYPRE_Int * cnt_nz_per_thread;
HYPRE_Int * cnt_nz_offd_per_thread;
/* HYPRE_Real wall_time;
wall_time = hypre_MPI_Wtime(); */
/* Initialize threading variables */
max_num_threads[0] = hypre_NumThreads();
cnt_nz_per_thread = hypre_CTAlloc(HYPRE_Int, max_num_threads[0], HYPRE_MEMORY_HOST);
cnt_nz_offd_per_thread = hypre_CTAlloc(HYPRE_Int, max_num_threads[0], HYPRE_MEMORY_HOST);
for (i = 0; i < max_num_threads[0]; i++)
{
cnt_nz_offd_per_thread[i] = 0;
cnt_nz_per_thread[i] = 0;
}
/*-----------------------------------------------------------------------
* Access the CSR vectors for A and S. Also get size of fine grid.
*-----------------------------------------------------------------------*/
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
my_first_cpt = num_cpts_global[0];
/* total_global_cpts = 0; */
if (my_id == (num_procs - 1)) { total_global_cpts = num_cpts_global[1]; }
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs - 1, comm);
if (!comm_pkg)
{
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
}
//col_map_offd = col_map_offd_A;
num_cols_offd = num_cols_offd_A;
if (num_cols_offd_A)
{
A_offd_data = hypre_CSRMatrixData(A_offd);
A_offd_j = hypre_CSRMatrixJ(A_offd);
}
if (num_cols_offd)
{
S_offd_j = hypre_CSRMatrixJ(S_offd);
}
n_fine = hypre_CSRMatrixNumRows(A_diag);
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
if (n_fine) { fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST); }
n_coarse = 0;
n_SF = 0;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) reduction(+:n_coarse,n_SF ) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++)
if (CF_marker[i] == 1) { n_coarse++; }
else if (CF_marker[i] == -3) { n_SF++; }
pass_array_size = n_fine - n_coarse - n_SF;
if (pass_array_size) { pass_array = hypre_CTAlloc(HYPRE_Int, pass_array_size, HYPRE_MEMORY_HOST); }
pass_pointer = hypre_CTAlloc(HYPRE_Int, max_num_passes + 1, HYPRE_MEMORY_HOST);
if (n_fine) { assigned = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST); }
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_DEVICE);
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_DEVICE);
if (n_coarse) { C_array = hypre_CTAlloc(HYPRE_Int, n_coarse, HYPRE_MEMORY_HOST); }
if (num_cols_offd)
{
CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST);
if (num_functions > 1) { dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST); }
}
if (num_procs > 1)
{
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
send_procs = hypre_ParCSRCommPkgSendProcs(comm_pkg);
send_map_start = hypre_ParCSRCommPkgSendMapStarts(comm_pkg);
send_map_elmt = hypre_ParCSRCommPkgSendMapElmts(comm_pkg);
num_recvs = hypre_ParCSRCommPkgNumRecvs(comm_pkg);
recv_procs = hypre_ParCSRCommPkgRecvProcs(comm_pkg);
recv_vec_start = hypre_ParCSRCommPkgRecvVecStarts(comm_pkg);
if (send_map_start[num_sends])
{
int_buf_data = hypre_CTAlloc(HYPRE_Int, send_map_start[num_sends], HYPRE_MEMORY_HOST);
big_buf_data = hypre_CTAlloc(HYPRE_BigInt, send_map_start[num_sends], HYPRE_MEMORY_HOST);
}
}
index = 0;
for (i = 0; i < num_sends; i++)
{
start = send_map_start[i];
for (j = start; j < send_map_start[i + 1]; j++)
{
int_buf_data[index++] = CF_marker[send_map_elmt[j]];
}
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = send_map_start[i];
for (j = start; j < send_map_start[i + 1]; j++)
{
int_buf_data[index++] = dof_func[send_map_elmt[j]];
}
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
}
n_coarse_offd = 0;
n_SF_offd = 0;
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) reduction(+:n_coarse_offd,n_SF_offd) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols_offd; i++)
if (CF_marker_offd[i] == 1) { n_coarse_offd++; }
else if (CF_marker_offd[i] == -3) { n_SF_offd++; }
if (num_cols_offd)
{
assigned_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST);
map_S_to_new = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST);
fine_to_coarse_offd = hypre_CTAlloc(HYPRE_BigInt, num_cols_offd, HYPRE_MEMORY_HOST);
new_col_map_offd = hypre_CTAlloc(HYPRE_BigInt, n_coarse_offd, HYPRE_MEMORY_HOST);
}
/*-----------------------------------------------------------------------
* First Pass: determine the maximal size of P, and elementsPerRow[i].
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Assigned points are points for which we know an interpolation
* formula already, and which are thus available to interpolate from.
* assigned[i]=0 for C points, and 1, 2, 3, ... for F points, depending
* in which pass their interpolation formula is determined.
*
* pass_array contains the points ordered according to its pass, i.e.
* | C-points | points of pass 1 | points of pass 2 | ....
* C_points are points 0 through pass_pointer[1]-1,
* points of pass k (0 < k < num_passes) are contained in points
* pass_pointer[k] through pass_pointer[k+1]-1 of pass_array .
*
* pass_array is also used to avoid going through all points for each pass,
* i,e. at the bginning it contains all points in descending order starting
* with n_fine-1. Then starting from the last point, we evaluate whether
* it is a C_point (pass 0). If it is the point is brought to the front
* and the length of the points to be searched is shortened. This is
* done until the parameter cnt (which determines the first point of
* pass_array to be searched) becomes n_fine. Then all points have been
* assigned a pass number.
*-----------------------------------------------------------------------*/
cnt = 0;
p_cnt = pass_array_size - 1;
P_diag_i[0] = 0;
P_offd_i[0] = 0;
for (i = 0; i < n_fine; i++)
{
if (CF_marker[i] == 1)
{
fine_to_coarse[i] = cnt; /* this C point is assigned index
coarse_counter on coarse grid,
and in column of P */
C_array[cnt++] = i;
assigned[i] = 0;
P_diag_i[i + 1] = 1; /* one element in row i1 of P */
P_offd_i[i + 1] = 0;
}
else if (CF_marker[i] == -1)
{
pass_array[p_cnt--] = i;
P_diag_i[i + 1] = 0;
P_offd_i[i + 1] = 0;
assigned[i] = -1;
fine_to_coarse[i] = -1;
}
else
{
P_diag_i[i + 1] = 0;
P_offd_i[i + 1] = 0;
assigned[i] = -1;
fine_to_coarse[i] = -1;
}
}
index = 0;
for (i = 0; i < num_sends; i++)
{
start = send_map_start[i];
for (j = start; j < send_map_start[i + 1]; j++)
{
big_buf_data[index] = (HYPRE_BigInt)fine_to_coarse[send_map_elmt[j]];
if (big_buf_data[index] > -1)
{
big_buf_data[index] += my_first_cpt;
}
index++;
}
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(21, comm_pkg, big_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
new_recv_vec_start = hypre_CTAlloc(HYPRE_Int, num_recvs + 1, HYPRE_MEMORY_HOST);
if (n_coarse_offd)
{
C_array_offd = hypre_CTAlloc(HYPRE_Int, n_coarse_offd, HYPRE_MEMORY_HOST);
}
cnt = 0;
new_recv_vec_start[0] = 0;
for (j = 0; j < num_recvs; j++)
{
for (i = recv_vec_start[j]; i < recv_vec_start[j + 1]; i++)
{
if (CF_marker_offd[i] == 1)
{
map_S_to_new[i] = cnt;
C_array_offd[cnt] = i;
new_col_map_offd[cnt++] = fine_to_coarse_offd[i];
assigned_offd[i] = 0;
}
else
{
assigned_offd[i] = -1;
map_S_to_new[i] = -1;
}
}
new_recv_vec_start[j + 1] = cnt;
}
cnt = 0;
hypre_TFree(fine_to_coarse_offd, HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------------
* Mark all local neighbors of C points as 'assigned'.
*-----------------------------------------------------------------------*/
pass_pointer[0] = 0;
pass_pointer[1] = 0;
total_nz = n_coarse; /* accumulates total number of nonzeros in P_diag */
total_nz_offd = 0; /* accumulates total number of nonzeros in P_offd */
cnt = 0;
cnt_offd = 0;
cnt_nz = 0;
cnt_nz_offd = 0;
for (i = pass_array_size - 1; i > cnt - 1; i--)
{
i1 = pass_array[i];
for (j = S_diag_i[i1]; j < S_diag_i[i1 + 1]; j++)
{
j1 = S_diag_j[j];
if (CF_marker[j1] == 1)
{
P_diag_i[i1 + 1]++;
cnt_nz++;
assigned[i1] = 1;
}
}
for (j = S_offd_i[i1]; j < S_offd_i[i1 + 1]; j++)
{
j1 = S_offd_j[j];
if (CF_marker_offd[j1] == 1)
{
P_offd_i[i1 + 1]++;
cnt_nz_offd++;
assigned[i1] = 1;
}
}
if (assigned[i1] == 1)
{
pass_array[i++] = pass_array[cnt];
pass_array[cnt++] = i1;
}
}
pass_pointer[2] = cnt;
/*-----------------------------------------------------------------------
* All local neighbors are assigned, now need to exchange the boundary
* info for assigned strong neighbors.
*-----------------------------------------------------------------------*/
index = 0;
for (i = 0; i < num_sends; i++)
{
start = send_map_start[i];
for (j = start; j < send_map_start[i + 1]; j++)
{ int_buf_data[index++] = assigned[send_map_elmt[j]]; }
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
assigned_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
/*-----------------------------------------------------------------------
* Now we need to determine strong neighbors of points of pass 1, etc.
* we need to update assigned_offd after each pass
*-----------------------------------------------------------------------*/
pass = 2;
local_pass_array_size = (HYPRE_BigInt)(pass_array_size - cnt);
hypre_MPI_Allreduce(&local_pass_array_size, &global_pass_array_size, 1, HYPRE_MPI_BIG_INT,
hypre_MPI_SUM, comm);
while (global_pass_array_size && pass < max_num_passes)
{
for (i = pass_array_size - 1; i > cnt - 1; i--)
{
i1 = pass_array[i];
no_break = 1;
for (j = S_diag_i[i1]; j < S_diag_i[i1 + 1]; j++)
{
j1 = S_diag_j[j];
if (assigned[j1] == pass - 1)
{
pass_array[i++] = pass_array[cnt];
pass_array[cnt++] = i1;
assigned[i1] = pass;
no_break = 0;
break;
}
}
if (no_break)
{
for (j = S_offd_i[i1]; j < S_offd_i[i1 + 1]; j++)
{
j1 = S_offd_j[j];
if (assigned_offd[j1] == pass - 1)
{
pass_array[i++] = pass_array[cnt];
pass_array[cnt++] = i1;
assigned[i1] = pass;
break;
}
}
}
}
/*hypre_printf("pass %d remaining points %d \n", pass, local_pass_array_size);*/
pass++;
pass_pointer[pass] = cnt;
local_pass_array_size = (HYPRE_BigInt)(pass_array_size - cnt);
hypre_MPI_Allreduce(&local_pass_array_size, &global_pass_array_size, 1, HYPRE_MPI_BIG_INT,
hypre_MPI_SUM, comm);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = send_map_start[i];
for (j = start; j < send_map_start[i + 1]; j++)
{ int_buf_data[index++] = assigned[send_map_elmt[j]]; }
}
if (num_procs > 1)
{
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data,
assigned_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
}
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(big_buf_data, HYPRE_MEMORY_HOST);
num_passes = pass;
P_diag_pass = hypre_CTAlloc(HYPRE_Int*, num_passes,
HYPRE_MEMORY_HOST); /* P_diag_pass[i] will contain
all column numbers for points of pass i */
P_diag_pass[1] = hypre_CTAlloc(HYPRE_Int, cnt_nz, HYPRE_MEMORY_HOST);
P_diag_start = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST); /* P_diag_start[i] contains
pointer to begin of column numbers in P_pass for point i,
P_diag_i[i+1] contains number of columns for point i */
P_offd_start = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_procs > 1)
{
P_offd_pass = hypre_CTAlloc(HYPRE_Int*, num_passes, HYPRE_MEMORY_HOST);
if (cnt_nz_offd)
{
P_offd_pass[1] = hypre_CTAlloc(HYPRE_Int, cnt_nz_offd, HYPRE_MEMORY_HOST);
}
else
{
P_offd_pass[1] = NULL;
}
new_elmts = hypre_CTAlloc(HYPRE_BigInt*, num_passes, HYPRE_MEMORY_HOST);
new_counter = hypre_CTAlloc(HYPRE_Int, num_passes + 1, HYPRE_MEMORY_HOST);
new_counter[0] = 0;
new_counter[1] = n_coarse_offd;
new_num_cols_offd = n_coarse_offd;
new_elmts[0] = new_col_map_offd;
}
/*-----------------------------------------------------------------------
* Pass 1: now we consider points of pass 1, with strong C_neighbors,
*-----------------------------------------------------------------------*/
cnt_nz = 0;
cnt_nz_offd = 0;
/* JBS: Possible candidate for threading */
for (i = pass_pointer[1]; i < pass_pointer[2]; i++)
{
i1 = pass_array[i];
P_diag_start[i1] = cnt_nz;
P_offd_start[i1] = cnt_nz_offd;
for (j = S_diag_i[i1]; j < S_diag_i[i1 + 1]; j++)
{
j1 = S_diag_j[j];
if (CF_marker[j1] == 1)
{ P_diag_pass[1][cnt_nz++] = fine_to_coarse[j1]; }
}
for (j = S_offd_i[i1]; j < S_offd_i[i1 + 1]; j++)
{
j1 = S_offd_j[j];
if (CF_marker_offd[j1] == 1)
{ P_offd_pass[1][cnt_nz_offd++] = map_S_to_new[j1]; }
}
}
total_nz += cnt_nz;
total_nz_offd += cnt_nz_offd;
if (num_procs > 1)
{
tmp_comm_pkg = hypre_CTAlloc(hypre_ParCSRCommPkg, 1, HYPRE_MEMORY_HOST);
Pext_send_map_start = hypre_CTAlloc(HYPRE_Int*, num_passes, HYPRE_MEMORY_HOST);
Pext_recv_vec_start = hypre_CTAlloc(HYPRE_Int*, num_passes, HYPRE_MEMORY_HOST);
Pext_pass = hypre_CTAlloc(HYPRE_Int*, num_passes, HYPRE_MEMORY_HOST);
Pext_i = hypre_CTAlloc(HYPRE_Int, num_cols_offd + 1, HYPRE_MEMORY_HOST);
if (num_cols_offd) { Pext_start = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST); }
if (send_map_start[num_sends])
{
P_ncols = hypre_CTAlloc(HYPRE_Int, send_map_start[num_sends], HYPRE_MEMORY_HOST);
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols_offd + 1; i++)
{ Pext_i[i] = 0; }
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < send_map_start[num_sends]; i++)
{ P_ncols[i] = 0; }
}
old_Pext_send_size = 0;
old_Pext_recv_size = 0;
for (pass = 2; pass < num_passes; pass++)
{
if (num_procs > 1)
{
Pext_send_map_start[pass] = hypre_CTAlloc(HYPRE_Int, num_sends + 1, HYPRE_MEMORY_HOST);
Pext_recv_vec_start[pass] = hypre_CTAlloc(HYPRE_Int, num_recvs + 1, HYPRE_MEMORY_HOST);
Pext_send_size = 0;
Pext_send_map_start[pass][0] = 0;
for (i = 0; i < num_sends; i++)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(j,j1) reduction(+:Pext_send_size) HYPRE_SMP_SCHEDULE
#endif
for (j = send_map_start[i]; j < send_map_start[i + 1]; j++)
{
j1 = send_map_elmt[j];
if (assigned[j1] == pass - 1)
{
P_ncols[j] = P_diag_i[j1 + 1] + P_offd_i[j1 + 1];
Pext_send_size += P_ncols[j];
}
}
Pext_send_map_start[pass][i + 1] = Pext_send_size;
}
comm_handle = hypre_ParCSRCommHandleCreate (11, comm_pkg,
P_ncols, &Pext_i[1]);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (Pext_send_size > old_Pext_send_size)
{
hypre_TFree(Pext_send_buffer, HYPRE_MEMORY_HOST);
Pext_send_buffer = hypre_CTAlloc(HYPRE_BigInt, Pext_send_size, HYPRE_MEMORY_HOST);
}
old_Pext_send_size = Pext_send_size;
}
cnt_offd = 0;
for (i = 0; i < num_sends; i++)
{
for (j = send_map_start[i]; j < send_map_start[i + 1]; j++)
{
j1 = send_map_elmt[j];
if (assigned[j1] == pass - 1)
{
j_start = P_diag_start[j1];
j_end = j_start + P_diag_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
Pext_send_buffer[cnt_offd++] = my_first_cpt
+ (HYPRE_BigInt) P_diag_pass[pass - 1][k];
}
j_start = P_offd_start[j1];
j_end = j_start + P_offd_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = P_offd_pass[pass - 1][k];
k3 = 0;
while (k3 < pass - 1)
{
if (k1 < new_counter[k3 + 1])
{
k2 = k1 - new_counter[k3];
Pext_send_buffer[cnt_offd++] = new_elmts[k3][k2];
break;
}
k3++;
}
}
}
}
}
if (num_procs > 1)
{
Pext_recv_size = 0;
Pext_recv_vec_start[pass][0] = 0;
cnt_offd = 0;
for (i = 0; i < num_recvs; i++)
{
for (j = recv_vec_start[i]; j < recv_vec_start[i + 1]; j++)
{
if (assigned_offd[j] == pass - 1)
{
Pext_start[j] = cnt_offd;
cnt_offd += Pext_i[j + 1];
}
}
Pext_recv_size = cnt_offd;
Pext_recv_vec_start[pass][i + 1] = Pext_recv_size;
}
hypre_ParCSRCommPkgComm(tmp_comm_pkg) = comm;
hypre_ParCSRCommPkgNumSends(tmp_comm_pkg) = num_sends;
hypre_ParCSRCommPkgSendProcs(tmp_comm_pkg) = send_procs;
hypre_ParCSRCommPkgSendMapStarts(tmp_comm_pkg) =
Pext_send_map_start[pass];
hypre_ParCSRCommPkgNumRecvs(tmp_comm_pkg) = num_recvs;
hypre_ParCSRCommPkgRecvProcs(tmp_comm_pkg) = recv_procs;
hypre_ParCSRCommPkgRecvVecStarts(tmp_comm_pkg) =
Pext_recv_vec_start[pass];
if (Pext_recv_size)
{
Pext_pass[pass] = hypre_CTAlloc(HYPRE_Int, Pext_recv_size, HYPRE_MEMORY_HOST);
new_elmts[pass - 1] = hypre_CTAlloc(HYPRE_BigInt, Pext_recv_size, HYPRE_MEMORY_HOST);
}
else
{
Pext_pass[pass] = NULL;
new_elmts[pass - 1] = NULL;
}
if (Pext_recv_size > old_Pext_recv_size)
{
hypre_TFree(loc, HYPRE_MEMORY_HOST);
loc = hypre_CTAlloc(HYPRE_Int, Pext_recv_size, HYPRE_MEMORY_HOST);
hypre_TFree(big_temp_pass, HYPRE_MEMORY_HOST);
big_temp_pass = hypre_CTAlloc(HYPRE_BigInt, Pext_recv_size, HYPRE_MEMORY_HOST);
}
old_Pext_recv_size = Pext_recv_size;
comm_handle = hypre_ParCSRCommHandleCreate (21, tmp_comm_pkg,
Pext_send_buffer, big_temp_pass);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
cnt_new = 0;
cnt_offd = 0;
/* JBS: Possible candidate for threading */
for (i = 0; i < num_recvs; i++)
{
for (j = recv_vec_start[i]; j < recv_vec_start[i + 1]; j++)
{
if (assigned_offd[j] == pass - 1)
{
for (j1 = cnt_offd; j1 < cnt_offd + Pext_i[j + 1]; j1++)
{
big_k1 = big_temp_pass[j1];
k2 = (HYPRE_Int)(big_k1 - my_first_cpt);
if (k2 > -1 && k2 < n_coarse)
{ Pext_pass[pass][j1] = -k2 - 1; }
else
{
not_found = 1;
k3 = 0;
while (k3 < pass - 1 && not_found)
{
k2 = hypre_BigBinarySearch(new_elmts[k3], big_k1,
(new_counter[k3 + 1] - new_counter[k3]));
if (k2 > -1)
{
Pext_pass[pass][j1] = k2 + new_counter[k3];
not_found = 0;
}
else
{
k3++;
}
}
if (not_found)
{
new_elmts[pass - 1][cnt_new] = big_k1;
loc[cnt_new++] = j1;
}
}
}
cnt_offd += Pext_i[j + 1];
}
}
}
if (cnt_new)
{
hypre_BigQsortbi(new_elmts[pass - 1], loc, 0, cnt_new - 1);
cnt = 0;
local_index = new_counter[pass - 1];
Pext_pass[pass][loc[0]] = local_index;
for (i = 1; i < cnt_new; i++)
{
if (new_elmts[pass - 1][i] > new_elmts[pass - 1][cnt])
{
new_elmts[pass - 1][++cnt] = new_elmts[pass - 1][i];
local_index++;
}
Pext_pass[pass][loc[i]] = local_index;
}
new_counter[pass] = local_index + 1;
}
else if (num_procs > 1)
{
new_counter[pass] = new_counter[pass - 1];
}
if (new_num_cols_offd < local_index + 1)
{ new_num_cols_offd = local_index + 1; }
pass_length = pass_pointer[pass + 1] - pass_pointer[pass];
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(i,my_thread_num,num_threads,thread_start,thread_stop,cnt_nz,cnt_nz_offd,i1,j,j1,j_start,j_end,k1,k,P_marker,P_marker_offd)
#endif
{
/* Thread by computing the sparsity structure for this pass only over
* each thread's range of rows. Rows are divided up evenly amongst
* the threads. The necessary thread-wise temporary arrays, like
* P_marker, are initialized and de-allocated internally to the
* parallel region. */
my_thread_num = hypre_GetThreadNum();
num_threads = hypre_NumActiveThreads();
thread_start = (pass_length / num_threads) * my_thread_num;
if (my_thread_num == num_threads - 1)
{ thread_stop = pass_length; }
else
{ thread_stop = (pass_length / num_threads) * (my_thread_num + 1); }
thread_start += pass_pointer[pass];
thread_stop += pass_pointer[pass];
/* Local initializations */
cnt_nz = 0;
cnt_nz_offd = 0;
/* This block of code is to go to the top of the parallel region starting before
* the loop over num_passes. */
P_marker = hypre_CTAlloc(HYPRE_Int, n_coarse,
HYPRE_MEMORY_HOST); /* marks points to see if they're counted */
for (i = 0; i < n_coarse; i++)
{ P_marker[i] = -1; }
if (new_num_cols_offd == local_index + 1)
{
P_marker_offd = hypre_CTAlloc(HYPRE_Int, new_num_cols_offd, HYPRE_MEMORY_HOST);
for (i = 0; i < new_num_cols_offd; i++)
{ P_marker_offd[i] = -1; }
}
else if (n_coarse_offd)
{
P_marker_offd = hypre_CTAlloc(HYPRE_Int, n_coarse_offd, HYPRE_MEMORY_HOST);
for (i = 0; i < n_coarse_offd; i++)
{ P_marker_offd[i] = -1; }
}
/* Need some variables to store each threads cnt_nz and cnt_nz_offd, and
* then stitch things together as in par_interp.c
* This loop writes
* P_diag_i, P_offd_i: data parallel here, and require no special treatment
* P_diag_start, P_offd_start: are not data parallel, require special treatment
*/
for (i = thread_start; i < thread_stop; i++)
{
i1 = pass_array[i];
P_diag_start[i1] = cnt_nz;
P_offd_start[i1] = cnt_nz_offd;
for (j = S_diag_i[i1]; j < S_diag_i[i1 + 1]; j++)
{
j1 = S_diag_j[j];
if (assigned[j1] == pass - 1)
{
j_start = P_diag_start[j1];
j_end = j_start + P_diag_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = P_diag_pass[pass - 1][k];
if (P_marker[k1] != i1)
{
cnt_nz++;
P_diag_i[i1 + 1]++;
P_marker[k1] = i1;
}
}
j_start = P_offd_start[j1];
j_end = j_start + P_offd_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = P_offd_pass[pass - 1][k];
if (P_marker_offd[k1] != i1)
{
cnt_nz_offd++;
P_offd_i[i1 + 1]++;
P_marker_offd[k1] = i1;
}
}
}
}
j_start = 0;
for (j = S_offd_i[i1]; j < S_offd_i[i1 + 1]; j++)
{
j1 = S_offd_j[j];
if (assigned_offd[j1] == pass - 1)
{
j_start = Pext_start[j1];
j_end = j_start + Pext_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = Pext_pass[pass][k];
if (k1 < 0)
{
if (P_marker[-k1 - 1] != i1)
{
cnt_nz++;
P_diag_i[i1 + 1]++;
P_marker[-k1 - 1] = i1;
}
}
else if (P_marker_offd[k1] != i1)
{
cnt_nz_offd++;
P_offd_i[i1 + 1]++;
P_marker_offd[k1] = i1;
}
}
}
}
}
/* Update P_diag_start, P_offd_start with cumulative
* nonzero counts over all threads */
if (my_thread_num == 0)
{ max_num_threads[0] = num_threads; }
cnt_nz_offd_per_thread[my_thread_num] = cnt_nz_offd;
cnt_nz_per_thread[my_thread_num] = cnt_nz;
#ifdef HYPRE_USING_OPENMP
#pragma omp barrier
#endif
if (my_thread_num == 0)
{
for (i = 1; i < max_num_threads[0]; i++)
{
cnt_nz_offd_per_thread[i] += cnt_nz_offd_per_thread[i - 1];
cnt_nz_per_thread[i] += cnt_nz_per_thread[i - 1];
}
}
#ifdef HYPRE_USING_OPENMP
#pragma omp barrier
#endif
if (my_thread_num > 0)
{
/* update this thread's section of P_diag_start and P_offd_start
* with the num of nz's counted by previous threads */
for (i = thread_start; i < thread_stop; i++)
{
i1 = pass_array[i];
P_diag_start[i1] += cnt_nz_per_thread[my_thread_num - 1];
P_offd_start[i1] += cnt_nz_offd_per_thread[my_thread_num - 1];
}
}
else /* if my_thread_num == 0 */
{
/* Grab the nz count for all threads */
cnt_nz = cnt_nz_per_thread[max_num_threads[0] - 1];
cnt_nz_offd = cnt_nz_offd_per_thread[max_num_threads[0] - 1];
/* Updated total nz count */
total_nz += cnt_nz;
total_nz_offd += cnt_nz_offd;
/* Allocate P_diag_pass and P_offd_pass for all threads */
P_diag_pass[pass] = hypre_CTAlloc(HYPRE_Int, cnt_nz, HYPRE_MEMORY_HOST);
if (cnt_nz_offd)
{
P_offd_pass[pass] = hypre_CTAlloc(HYPRE_Int, cnt_nz_offd, HYPRE_MEMORY_HOST);
}
else if (num_procs > 1)
{
P_offd_pass[pass] = NULL;
}
}
#ifdef HYPRE_USING_OPENMP
#pragma omp barrier
#endif
/* offset cnt_nz and cnt_nz_offd to point to the starting
* point in P_diag_pass and P_offd_pass for each thread */
if (my_thread_num > 0)
{
cnt_nz = cnt_nz_per_thread[my_thread_num - 1];
cnt_nz_offd = cnt_nz_offd_per_thread[my_thread_num - 1];
}
else
{
cnt_nz = 0;
cnt_nz_offd = 0;
}
/* Set P_diag_pass and P_offd_pass */
for (i = thread_start; i < thread_stop; i++)
{
i1 = pass_array[i];
for (j = S_diag_i[i1]; j < S_diag_i[i1 + 1]; j++)
{
j1 = S_diag_j[j];
if (assigned[j1] == pass - 1)
{
j_start = P_diag_start[j1];
j_end = j_start + P_diag_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = P_diag_pass[pass - 1][k];
if (P_marker[k1] != -i1 - 1)
{
P_diag_pass[pass][cnt_nz++] = k1;
P_marker[k1] = -i1 - 1;
}
}
j_start = P_offd_start[j1];
j_end = j_start + P_offd_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = P_offd_pass[pass - 1][k];
if (P_marker_offd[k1] != -i1 - 1)
{
P_offd_pass[pass][cnt_nz_offd++] = k1;
P_marker_offd[k1] = -i1 - 1;
}
}
}
}
for (j = S_offd_i[i1]; j < S_offd_i[i1 + 1]; j++)
{
j1 = S_offd_j[j];
if (assigned_offd[j1] == pass - 1)
{
j_start = Pext_start[j1];
j_end = j_start + Pext_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = Pext_pass[pass][k];
if (k1 < 0)
{
if (P_marker[-k1 - 1] != -i1 - 1)
{
P_diag_pass[pass][cnt_nz++] = -k1 - 1;
P_marker[-k1 - 1] = -i1 - 1;
}
}
else if (P_marker_offd[k1] != -i1 - 1)
{
P_offd_pass[pass][cnt_nz_offd++] = k1;
P_marker_offd[k1] = -i1 - 1;
}
}
}
}
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
if ( (n_coarse_offd) || (new_num_cols_offd == local_index + 1) )
{ hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST); }
} /* End parallel region */
}
hypre_TFree(loc, HYPRE_MEMORY_HOST);
hypre_TFree(P_ncols, HYPRE_MEMORY_HOST);
hypre_TFree(Pext_send_buffer, HYPRE_MEMORY_HOST);
hypre_TFree(big_temp_pass, HYPRE_MEMORY_HOST);
hypre_TFree(new_recv_vec_start, HYPRE_MEMORY_HOST);
hypre_TFree(cnt_nz_per_thread, HYPRE_MEMORY_HOST);
hypre_TFree(cnt_nz_offd_per_thread, HYPRE_MEMORY_HOST);
hypre_TFree(max_num_threads, HYPRE_MEMORY_HOST);
P_diag_j = hypre_CTAlloc(HYPRE_Int, total_nz, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, total_nz, HYPRE_MEMORY_DEVICE);
if (total_nz_offd)
{
P_offd_j = hypre_CTAlloc(HYPRE_Int, total_nz_offd, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, total_nz_offd, HYPRE_MEMORY_DEVICE);
}
for (i = 0; i < n_fine; i++)
{
P_diag_i[i + 1] += P_diag_i[i];
P_offd_i[i + 1] += P_offd_i[i];
}
/* determine P for coarse points */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,i1) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_coarse; i++)
{
i1 = C_array[i];
P_diag_j[P_diag_i[i1]] = fine_to_coarse[i1];
P_diag_data[P_diag_i[i1]] = 1.0;
}
if (weight_option) /*if this is set, weights are separated into
negative and positive offdiagonals and accumulated
accordingly */
{
pass_length = pass_pointer[2] - pass_pointer[1];
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(thread_start,thread_stop,my_thread_num,num_threads,P_marker,P_marker_offd,i,i1,sum_C_pos,sum_C_neg,sum_N_pos,sum_N_neg,j_start,j_end,j,k1,cnt,j1,cnt_offd,diagonal,alfa,beta)
#endif
{
/* Sparsity structure is now finished. Next, calculate interpolation
* weights for pass one. Thread by computing the interpolation
* weights only over each thread's range of rows. Rows are divided
* up evenly amongst the threads. */
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
for (i = 0; i < n_fine; i++)
{ P_marker[i] = -1; }
if (num_cols_offd)
{
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST);
for (i = 0; i < num_cols_offd; i++)
{
P_marker_offd[i] = -1;
}
}
/* Compute this thread's range of pass_length */
my_thread_num = hypre_GetThreadNum();
num_threads = hypre_NumActiveThreads();
thread_start = pass_pointer[1] + (pass_length / num_threads) * my_thread_num;
if (my_thread_num == num_threads - 1)
{ thread_stop = pass_pointer[1] + pass_length; }
else
{ thread_stop = pass_pointer[1] + (pass_length / num_threads) * (my_thread_num + 1); }
/* determine P for points of pass 1, i.e. neighbors of coarse points */
for (i = thread_start; i < thread_stop; i++)
{
i1 = pass_array[i];
sum_C_pos = 0;
sum_C_neg = 0;
sum_N_pos = 0;
sum_N_neg = 0;
j_start = P_diag_start[i1];
j_end = j_start + P_diag_i[i1 + 1] - P_diag_i[i1];
for (j = j_start; j < j_end; j++)
{
k1 = P_diag_pass[1][j];
P_marker[C_array[k1]] = i1;
}
cnt = P_diag_i[i1];
for (j = A_diag_i[i1] + 1; j < A_diag_i[i1 + 1]; j++)
{
j1 = A_diag_j[j];
if (CF_marker[j1] != -3 &&
(num_functions == 1 || dof_func[i1] == dof_func[j1]))
{
if (A_diag_data[j] < 0)
{
sum_N_neg += A_diag_data[j];
}
else
{
sum_N_pos += A_diag_data[j];
}
}
if (j1 != -1 && P_marker[j1] == i1)
{
P_diag_data[cnt] = A_diag_data[j];
P_diag_j[cnt++] = fine_to_coarse[j1];
if (A_diag_data[j] < 0)
{
sum_C_neg += A_diag_data[j];
}
else
{
sum_C_pos += A_diag_data[j];
}
}
}
j_start = P_offd_start[i1];
j_end = j_start + P_offd_i[i1 + 1] - P_offd_i[i1];
for (j = j_start; j < j_end; j++)
{
k1 = P_offd_pass[1][j];
P_marker_offd[C_array_offd[k1]] = i1;
}
cnt_offd = P_offd_i[i1];
for (j = A_offd_i[i1]; j < A_offd_i[i1 + 1]; j++)
{
j1 = A_offd_j[j];
if (CF_marker_offd[j1] != -3 &&
(num_functions == 1 || dof_func[i1] == dof_func_offd[j1]))
{
if (A_offd_data[j] < 0)
{
sum_N_neg += A_offd_data[j];
}
else
{
sum_N_pos += A_offd_data[j];
}
}
if (j1 != -1 && P_marker_offd[j1] == i1)
{
P_offd_data[cnt_offd] = A_offd_data[j];
P_offd_j[cnt_offd++] = map_S_to_new[j1];
if (A_offd_data[j] < 0)
{
sum_C_neg += A_offd_data[j];
}
else
{
sum_C_pos += A_offd_data[j];
}
}
}
diagonal = A_diag_data[A_diag_i[i1]];
if (sum_C_neg * diagonal != 0) { alfa = -sum_N_neg / (sum_C_neg * diagonal); }
if (sum_C_pos * diagonal != 0) { beta = -sum_N_pos / (sum_C_pos * diagonal); }
for (j = P_diag_i[i1]; j < cnt; j++)
if (P_diag_data[j] < 0)
{
P_diag_data[j] *= alfa;
}
else
{
P_diag_data[j] *= beta;
}
for (j = P_offd_i[i1]; j < cnt_offd; j++)
if (P_offd_data[j] < 0)
{
P_offd_data[j] *= alfa;
}
else
{
P_offd_data[j] *= beta;
}
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
if (num_cols_offd)
{ hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST); }
} /* End Parallel Region */
old_Pext_send_size = 0;
old_Pext_recv_size = 0;
if (n_coarse) { hypre_TFree(C_array, HYPRE_MEMORY_HOST); }
hypre_TFree(C_array_offd, HYPRE_MEMORY_HOST);
hypre_TFree(P_diag_pass[1], HYPRE_MEMORY_HOST);
if (num_procs > 1) { hypre_TFree(P_offd_pass[1], HYPRE_MEMORY_HOST); }
for (pass = 2; pass < num_passes; pass++)
{
if (num_procs > 1)
{
Pext_send_size = Pext_send_map_start[pass][num_sends];
if (Pext_send_size > old_Pext_send_size)
{
hypre_TFree(Pext_send_data, HYPRE_MEMORY_HOST);
Pext_send_data = hypre_CTAlloc(HYPRE_Real, Pext_send_size, HYPRE_MEMORY_HOST);
}
old_Pext_send_size = Pext_send_size;
cnt_offd = 0;
for (i = 0; i < num_sends; i++)
{
for (j = send_map_start[i]; j < send_map_start[i + 1]; j++)
{
j1 = send_map_elmt[j];
if (assigned[j1] == pass - 1)
{
j_start = P_diag_i[j1];
j_end = P_diag_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{ Pext_send_data[cnt_offd++] = P_diag_data[k]; }
j_start = P_offd_i[j1];
j_end = P_offd_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{ Pext_send_data[cnt_offd++] = P_offd_data[k]; }
}
}
}
hypre_ParCSRCommPkgNumSends(tmp_comm_pkg) = num_sends;
hypre_ParCSRCommPkgSendMapStarts(tmp_comm_pkg) =
Pext_send_map_start[pass];
hypre_ParCSRCommPkgNumRecvs(tmp_comm_pkg) = num_recvs;
hypre_ParCSRCommPkgRecvVecStarts(tmp_comm_pkg) =
Pext_recv_vec_start[pass];
Pext_recv_size = Pext_recv_vec_start[pass][num_recvs];
if (Pext_recv_size > old_Pext_recv_size)
{
hypre_TFree(Pext_data, HYPRE_MEMORY_HOST);
Pext_data = hypre_CTAlloc(HYPRE_Real, Pext_recv_size, HYPRE_MEMORY_HOST);
}
old_Pext_recv_size = Pext_recv_size;
comm_handle = hypre_ParCSRCommHandleCreate (1, tmp_comm_pkg,
Pext_send_data, Pext_data);
hypre_ParCSRCommHandleDestroy(comm_handle);
hypre_TFree(Pext_send_map_start[pass], HYPRE_MEMORY_HOST);
hypre_TFree(Pext_recv_vec_start[pass], HYPRE_MEMORY_HOST);
}
pass_length = pass_pointer[pass + 1] - pass_pointer[pass];
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(thread_start,thread_stop,my_thread_num,num_threads,P_marker,P_marker_offd,i,i1,sum_C_neg,sum_C_pos,sum_N_neg,sum_N_pos,j_start,j_end,cnt,j,k1,cnt_offd,j1,k,alfa,beta,diagonal,C_array,C_array_offd)
#endif
{
/* Sparsity structure is now finished. Next, calculate interpolation
* weights for passes >= 2. Thread by computing the interpolation
* weights only over each thread's range of rows. Rows are divided
* up evenly amongst the threads. */
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
for (i = 0; i < n_fine; i++)
{ P_marker[i] = -1; }
if (num_cols_offd)
{
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST);
for (i = 0; i < num_cols_offd; i++)
{
P_marker_offd[i] = -1;
}
}
C_array = NULL;
C_array_offd = NULL;
if (n_coarse)
{ C_array = hypre_CTAlloc(HYPRE_Int, n_coarse, HYPRE_MEMORY_HOST); }
if (new_num_cols_offd > n_coarse_offd)
{ C_array_offd = hypre_CTAlloc(HYPRE_Int, new_num_cols_offd, HYPRE_MEMORY_HOST); }
else if (n_coarse_offd)
{ C_array_offd = hypre_CTAlloc(HYPRE_Int, n_coarse_offd, HYPRE_MEMORY_HOST); }
/* Compute this thread's range of pass_length */
my_thread_num = hypre_GetThreadNum();
num_threads = hypre_NumActiveThreads();
thread_start = pass_pointer[pass] + (pass_length / num_threads) * my_thread_num;
if (my_thread_num == num_threads - 1)
{ thread_stop = pass_pointer[pass] + pass_length; }
else
{ thread_stop = pass_pointer[pass] + (pass_length / num_threads) * (my_thread_num + 1); }
/* Loop over each thread's row-range */
for (i = thread_start; i < thread_stop; i++)
{
i1 = pass_array[i];
sum_C_neg = 0;
sum_C_pos = 0;
sum_N_neg = 0;
sum_N_pos = 0;
j_start = P_diag_start[i1];
j_end = j_start + P_diag_i[i1 + 1] - P_diag_i[i1];
cnt = P_diag_i[i1];
for (j = j_start; j < j_end; j++)
{
k1 = P_diag_pass[pass][j];
C_array[k1] = cnt;
P_diag_data[cnt] = 0;
P_diag_j[cnt++] = k1;
}
j_start = P_offd_start[i1];
j_end = j_start + P_offd_i[i1 + 1] - P_offd_i[i1];
cnt_offd = P_offd_i[i1];
for (j = j_start; j < j_end; j++)
{
k1 = P_offd_pass[pass][j];
C_array_offd[k1] = cnt_offd;
P_offd_data[cnt_offd] = 0;
P_offd_j[cnt_offd++] = k1;
}
for (j = S_diag_i[i1]; j < S_diag_i[i1 + 1]; j++)
{
j1 = S_diag_j[j];
if (assigned[j1] == pass - 1)
{
P_marker[j1] = i1;
}
}
for (j = S_offd_i[i1]; j < S_offd_i[i1 + 1]; j++)
{
j1 = S_offd_j[j];
if (assigned_offd[j1] == pass - 1)
{
P_marker_offd[j1] = i1;
}
}
for (j = A_diag_i[i1] + 1; j < A_diag_i[i1 + 1]; j++)
{
j1 = A_diag_j[j];
if (P_marker[j1] == i1)
{
for (k = P_diag_i[j1]; k < P_diag_i[j1 + 1]; k++)
{
k1 = P_diag_j[k];
alfa = A_diag_data[j] * P_diag_data[k];
P_diag_data[C_array[k1]] += alfa;
if (alfa < 0)
{
sum_C_neg += alfa;
sum_N_neg += alfa;
}
else
{
sum_C_pos += alfa;
sum_N_pos += alfa;
}
}
for (k = P_offd_i[j1]; k < P_offd_i[j1 + 1]; k++)
{
k1 = P_offd_j[k];
alfa = A_diag_data[j] * P_offd_data[k];
P_offd_data[C_array_offd[k1]] += alfa;
if (alfa < 0)
{
sum_C_neg += alfa;
sum_N_neg += alfa;
}
else
{
sum_C_pos += alfa;
sum_N_pos += alfa;
}
}
}
else
{
if (CF_marker[j1] != -3 &&
(num_functions == 1 || dof_func[i1] == dof_func[j1]))
{
if (A_diag_data[j] < 0)
{
sum_N_neg += A_diag_data[j];
}
else
{
sum_N_pos += A_diag_data[j];
}
}
}
}
for (j = A_offd_i[i1]; j < A_offd_i[i1 + 1]; j++)
{
j1 = A_offd_j[j];
if (j1 > -1 && P_marker_offd[j1] == i1)
{
j_start = Pext_start[j1];
j_end = j_start + Pext_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = Pext_pass[pass][k];
alfa = A_offd_data[j] * Pext_data[k];
if (k1 < 0)
{
P_diag_data[C_array[-k1 - 1]] += alfa;
}
else
{
P_offd_data[C_array_offd[k1]] += alfa;
}
if (alfa < 0)
{
sum_C_neg += alfa;
sum_N_neg += alfa;
}
else
{
sum_C_pos += alfa;
sum_N_pos += alfa;
}
}
}
else
{
if (CF_marker_offd[j1] != -3 &&
(num_functions == 1 || dof_func_offd[j1] == dof_func[i1]))
{
if ( A_offd_data[j] < 0)
{
sum_N_neg += A_offd_data[j];
}
else
{
sum_N_pos += A_offd_data[j];
}
}
}
}
diagonal = A_diag_data[A_diag_i[i1]];
if (sum_C_neg * diagonal != 0) { alfa = -sum_N_neg / (sum_C_neg * diagonal); }
if (sum_C_pos * diagonal != 0) { beta = -sum_N_pos / (sum_C_pos * diagonal); }
for (j = P_diag_i[i1]; j < P_diag_i[i1 + 1]; j++)
if (P_diag_data[j] < 0)
{
P_diag_data[j] *= alfa;
}
else
{
P_diag_data[j] *= beta;
}
for (j = P_offd_i[i1]; j < P_offd_i[i1 + 1]; j++)
if (P_offd_data[j] < 0)
{
P_offd_data[j] *= alfa;
}
else
{
P_offd_data[j] *= beta;
}
}
hypre_TFree(C_array, HYPRE_MEMORY_HOST);
hypre_TFree(C_array_offd, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
if (num_cols_offd)
{ hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST); }
} /* End OMP Parallel Section */
hypre_TFree(P_diag_pass[pass], HYPRE_MEMORY_HOST);
if (num_procs > 1)
{
hypre_TFree(P_offd_pass[pass], HYPRE_MEMORY_HOST);
hypre_TFree(Pext_pass[pass], HYPRE_MEMORY_HOST);
}
} /* End num_passes for-loop */
}
else /* no distinction between positive and negative offdiagonal element */
{
pass_length = pass_pointer[2] - pass_pointer[1];
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(thread_start,thread_stop,my_thread_num,num_threads,k,k1,i,i1,j,j1,sum_C,sum_N,j_start,j_end,cnt,tmp_marker,tmp_marker_offd,cnt_offd,diagonal,alfa)
#endif
{
/* Sparsity structure is now finished. Next, calculate interpolation
* weights for pass one. Thread by computing the interpolation
* weights only over each thread's range of rows. Rows are divided
* up evenly amongst the threads. */
/* Initialize thread-wise variables */
tmp_marker = NULL;
if (n_fine)
{ tmp_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST); }
tmp_marker_offd = NULL;
if (num_cols_offd)
{ tmp_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST); }
for (i = 0; i < n_fine; i++)
{ tmp_marker[i] = -1; }
for (i = 0; i < num_cols_offd; i++)
{ tmp_marker_offd[i] = -1; }
/* Compute this thread's range of pass_length */
my_thread_num = hypre_GetThreadNum();
num_threads = hypre_NumActiveThreads();
thread_start = pass_pointer[1] + (pass_length / num_threads) * my_thread_num;
if (my_thread_num == num_threads - 1)
{ thread_stop = pass_pointer[1] + pass_length; }
else
{ thread_stop = pass_pointer[1] + (pass_length / num_threads) * (my_thread_num + 1); }
/* determine P for points of pass 1, i.e. neighbors of coarse points */
for (i = thread_start; i < thread_stop; i++)
{
i1 = pass_array[i];
sum_C = 0;
sum_N = 0;
j_start = P_diag_start[i1];
j_end = j_start + P_diag_i[i1 + 1] - P_diag_i[i1];
for (j = j_start; j < j_end; j++)
{
k1 = P_diag_pass[1][j];
tmp_marker[C_array[k1]] = i1;
}
cnt = P_diag_i[i1];
for (j = A_diag_i[i1] + 1; j < A_diag_i[i1 + 1]; j++)
{
j1 = A_diag_j[j];
if (CF_marker[j1] != -3 &&
(num_functions == 1 || dof_func[i1] == dof_func[j1]))
{
sum_N += A_diag_data[j];
}
if (j1 != -1 && tmp_marker[j1] == i1)
{
P_diag_data[cnt] = A_diag_data[j];
P_diag_j[cnt++] = fine_to_coarse[j1];
sum_C += A_diag_data[j];
}
}
j_start = P_offd_start[i1];
j_end = j_start + P_offd_i[i1 + 1] - P_offd_i[i1];
for (j = j_start; j < j_end; j++)
{
k1 = P_offd_pass[1][j];
tmp_marker_offd[C_array_offd[k1]] = i1;
}
cnt_offd = P_offd_i[i1];
for (j = A_offd_i[i1]; j < A_offd_i[i1 + 1]; j++)
{
j1 = A_offd_j[j];
if (CF_marker_offd[j1] != -3 &&
(num_functions == 1 || dof_func[i1] == dof_func_offd[j1]))
{
sum_N += A_offd_data[j];
}
if (j1 != -1 && tmp_marker_offd[j1] == i1)
{
P_offd_data[cnt_offd] = A_offd_data[j];
P_offd_j[cnt_offd++] = map_S_to_new[j1];
sum_C += A_offd_data[j];
}
}
diagonal = A_diag_data[A_diag_i[i1]];
if (sum_C * diagonal != 0) { alfa = -sum_N / (sum_C * diagonal); }
for (j = P_diag_i[i1]; j < cnt; j++)
{
P_diag_data[j] *= alfa;
}
for (j = P_offd_i[i1]; j < cnt_offd; j++)
{
P_offd_data[j] *= alfa;
}
}
hypre_TFree(tmp_marker, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_marker_offd, HYPRE_MEMORY_HOST);
} /* end OMP parallel region */
old_Pext_send_size = 0;
old_Pext_recv_size = 0;
if (n_coarse) { hypre_TFree(C_array, HYPRE_MEMORY_HOST); }
hypre_TFree(C_array_offd, HYPRE_MEMORY_HOST);
hypre_TFree(P_diag_pass[1], HYPRE_MEMORY_HOST);
if (num_procs > 1) { hypre_TFree(P_offd_pass[1], HYPRE_MEMORY_HOST); }
for (pass = 2; pass < num_passes; pass++)
{
if (num_procs > 1)
{
Pext_send_size = Pext_send_map_start[pass][num_sends];
if (Pext_send_size > old_Pext_send_size)
{
hypre_TFree(Pext_send_data, HYPRE_MEMORY_HOST);
Pext_send_data = hypre_CTAlloc(HYPRE_Real, Pext_send_size, HYPRE_MEMORY_HOST);
}
old_Pext_send_size = Pext_send_size;
cnt_offd = 0;
for (i = 0; i < num_sends; i++)
{
for (j = send_map_start[i]; j < send_map_start[i + 1]; j++)
{
j1 = send_map_elmt[j];
if (assigned[j1] == pass - 1)
{
j_start = P_diag_i[j1];
j_end = P_diag_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
Pext_send_data[cnt_offd++] = P_diag_data[k];
}
j_start = P_offd_i[j1];
j_end = P_offd_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
Pext_send_data[cnt_offd++] = P_offd_data[k];
}
}
}
}
hypre_ParCSRCommPkgNumSends(tmp_comm_pkg) = num_sends;
hypre_ParCSRCommPkgSendMapStarts(tmp_comm_pkg) =
Pext_send_map_start[pass];
hypre_ParCSRCommPkgNumRecvs(tmp_comm_pkg) = num_recvs;
hypre_ParCSRCommPkgRecvVecStarts(tmp_comm_pkg) =
Pext_recv_vec_start[pass];
Pext_recv_size = Pext_recv_vec_start[pass][num_recvs];
if (Pext_recv_size > old_Pext_recv_size)
{
hypre_TFree(Pext_data, HYPRE_MEMORY_HOST);
Pext_data = hypre_CTAlloc(HYPRE_Real, Pext_recv_size, HYPRE_MEMORY_HOST);
}
old_Pext_recv_size = Pext_recv_size;
comm_handle = hypre_ParCSRCommHandleCreate (1, tmp_comm_pkg,
Pext_send_data, Pext_data);
hypre_ParCSRCommHandleDestroy(comm_handle);
hypre_TFree(Pext_send_map_start[pass], HYPRE_MEMORY_HOST);
hypre_TFree(Pext_recv_vec_start[pass], HYPRE_MEMORY_HOST);
}
pass_length = pass_pointer[pass + 1] - pass_pointer[pass];
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel private(thread_start,thread_stop,my_thread_num,num_threads,k,k1,i,i1,j,j1,sum_C,sum_N,j_start,j_end,cnt,tmp_marker,tmp_marker_offd,cnt_offd,diagonal,alfa,tmp_array,tmp_array_offd)
#endif
{
/* Sparsity structure is now finished. Next, calculate interpolation
* weights for passes >= 2. Thread by computing the interpolation
* weights only over each thread's range of rows. Rows are divided
* up evenly amongst the threads. */
/* Initialize thread-wise variables */
tmp_marker = NULL;
if (n_fine)
{ tmp_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST); }
tmp_marker_offd = NULL;
if (num_cols_offd)
{ tmp_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST); }
tmp_array = NULL;
if (n_coarse)
{ tmp_array = hypre_CTAlloc(HYPRE_Int, n_coarse, HYPRE_MEMORY_HOST); }
tmp_array_offd = NULL;
if (new_num_cols_offd > n_coarse_offd)
{ tmp_array_offd = hypre_CTAlloc(HYPRE_Int, new_num_cols_offd, HYPRE_MEMORY_HOST); }
else
{ tmp_array_offd = hypre_CTAlloc(HYPRE_Int, n_coarse_offd, HYPRE_MEMORY_HOST);}
for (i = 0; i < n_fine; i++)
{ tmp_marker[i] = -1; }
for (i = 0; i < num_cols_offd; i++)
{ tmp_marker_offd[i] = -1; }
/* Compute this thread's range of pass_length */
my_thread_num = hypre_GetThreadNum();
num_threads = hypre_NumActiveThreads();
thread_start = pass_pointer[pass] + (pass_length / num_threads) * my_thread_num;
if (my_thread_num == num_threads - 1)
{ thread_stop = pass_pointer[pass] + pass_length; }
else
{ thread_stop = pass_pointer[pass] + (pass_length / num_threads) * (my_thread_num + 1); }
for (i = thread_start; i < thread_stop; i++)
{
i1 = pass_array[i];
sum_C = 0;
sum_N = 0;
j_start = P_diag_start[i1];
j_end = j_start + P_diag_i[i1 + 1] - P_diag_i[i1];
cnt = P_diag_i[i1];
for (j = j_start; j < j_end; j++)
{
k1 = P_diag_pass[pass][j];
tmp_array[k1] = cnt;
P_diag_data[cnt] = 0;
P_diag_j[cnt++] = k1;
}
j_start = P_offd_start[i1];
j_end = j_start + P_offd_i[i1 + 1] - P_offd_i[i1];
cnt_offd = P_offd_i[i1];
for (j = j_start; j < j_end; j++)
{
k1 = P_offd_pass[pass][j];
tmp_array_offd[k1] = cnt_offd;
P_offd_data[cnt_offd] = 0;
P_offd_j[cnt_offd++] = k1;
}
for (j = S_diag_i[i1]; j < S_diag_i[i1 + 1]; j++)
{
j1 = S_diag_j[j];
if (assigned[j1] == pass - 1)
{
tmp_marker[j1] = i1;
}
}
for (j = S_offd_i[i1]; j < S_offd_i[i1 + 1]; j++)
{
j1 = S_offd_j[j];
if (assigned_offd[j1] == pass - 1)
{
tmp_marker_offd[j1] = i1;
}
}
for (j = A_diag_i[i1] + 1; j < A_diag_i[i1 + 1]; j++)
{
j1 = A_diag_j[j];
if (tmp_marker[j1] == i1)
{
for (k = P_diag_i[j1]; k < P_diag_i[j1 + 1]; k++)
{
k1 = P_diag_j[k];
alfa = A_diag_data[j] * P_diag_data[k];
P_diag_data[tmp_array[k1]] += alfa;
sum_C += alfa;
sum_N += alfa;
}
for (k = P_offd_i[j1]; k < P_offd_i[j1 + 1]; k++)
{
k1 = P_offd_j[k];
alfa = A_diag_data[j] * P_offd_data[k];
P_offd_data[tmp_array_offd[k1]] += alfa;
sum_C += alfa;
sum_N += alfa;
}
}
else
{
if (CF_marker[j1] != -3 &&
(num_functions == 1 || dof_func[i1] == dof_func[j1]))
{
sum_N += A_diag_data[j];
}
}
}
for (j = A_offd_i[i1]; j < A_offd_i[i1 + 1]; j++)
{
j1 = A_offd_j[j];
if (j1 > -1 && tmp_marker_offd[j1] == i1)
{
j_start = Pext_start[j1];
j_end = j_start + Pext_i[j1 + 1];
for (k = j_start; k < j_end; k++)
{
k1 = Pext_pass[pass][k];
alfa = A_offd_data[j] * Pext_data[k];
if (k1 < 0)
{
P_diag_data[tmp_array[-k1 - 1]] += alfa;
}
else
{
P_offd_data[tmp_array_offd[k1]] += alfa;
}
sum_C += alfa;
sum_N += alfa;
}
}
else
{
if (CF_marker_offd[j1] != -3 &&
(num_functions == 1 || dof_func_offd[j1] == dof_func[i1]))
{
sum_N += A_offd_data[j];
}
}
}
diagonal = A_diag_data[A_diag_i[i1]];
if (sum_C * diagonal != 0.0) { alfa = -sum_N / (sum_C * diagonal); }
for (j = P_diag_i[i1]; j < P_diag_i[i1 + 1]; j++)
{
P_diag_data[j] *= alfa;
}
for (j = P_offd_i[i1]; j < P_offd_i[i1 + 1]; j++)
{
P_offd_data[j] *= alfa;
}
}
hypre_TFree(tmp_marker, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_array, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_array_offd, HYPRE_MEMORY_HOST);
} /* End OMP Parallel Section */
hypre_TFree(P_diag_pass[pass], HYPRE_MEMORY_HOST);
if (num_procs > 1)
{
hypre_TFree(P_offd_pass[pass], HYPRE_MEMORY_HOST);
hypre_TFree(Pext_pass[pass], HYPRE_MEMORY_HOST);
}
}
}
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(Pext_send_map_start, HYPRE_MEMORY_HOST);
hypre_TFree(Pext_recv_vec_start, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(Pext_send_data, HYPRE_MEMORY_HOST);
hypre_TFree(Pext_data, HYPRE_MEMORY_HOST);
hypre_TFree(P_diag_pass, HYPRE_MEMORY_HOST);
hypre_TFree(P_offd_pass, HYPRE_MEMORY_HOST);
hypre_TFree(Pext_pass, HYPRE_MEMORY_HOST);
hypre_TFree(P_diag_start, HYPRE_MEMORY_HOST);
hypre_TFree(P_offd_start, HYPRE_MEMORY_HOST);
hypre_TFree(Pext_start, HYPRE_MEMORY_HOST);
hypre_TFree(Pext_i, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(assigned, HYPRE_MEMORY_HOST);
hypre_TFree(assigned_offd, HYPRE_MEMORY_HOST);
hypre_TFree(pass_pointer, HYPRE_MEMORY_HOST);
hypre_TFree(pass_array, HYPRE_MEMORY_HOST);
hypre_TFree(map_S_to_new, HYPRE_MEMORY_HOST);
if (num_procs > 1) { hypre_TFree(tmp_comm_pkg, HYPRE_MEMORY_HOST); }
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumRows(A),
total_global_cpts,
hypre_ParCSRMatrixColStarts(A),
num_cpts_global,
0,
P_diag_i[n_fine],
P_offd_i[n_fine]);
P_diag = hypre_ParCSRMatrixDiag(P);
hypre_CSRMatrixData(P_diag) = P_diag_data;
hypre_CSRMatrixI(P_diag) = P_diag_i;
hypre_CSRMatrixJ(P_diag) = P_diag_j;
P_offd = hypre_ParCSRMatrixOffd(P);
hypre_CSRMatrixData(P_offd) = P_offd_data;
hypre_CSRMatrixI(P_offd) = P_offd_i;
hypre_CSRMatrixJ(P_offd) = P_offd_j;
/* Compress P, removing coefficients smaller than trunc_factor * Max
and/or keep yat most <P_max_elmts> per row absolutely maximal coefficients */
if (trunc_factor != 0.0 || P_max_elmts != 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, P_max_elmts);
P_diag_data = hypre_CSRMatrixData(P_diag);
P_diag_i = hypre_CSRMatrixI(P_diag);
P_diag_j = hypre_CSRMatrixJ(P_diag);
P_offd_data = hypre_CSRMatrixData(P_offd);
P_offd_i = hypre_CSRMatrixI(P_offd);
P_offd_j = hypre_CSRMatrixJ(P_offd);
}
P_offd_size = P_offd_i[n_fine];
num_cols_offd_P = 0;
if (P_offd_size)
{
if (new_num_cols_offd > num_cols_offd)
{ P_marker_offd = hypre_CTAlloc(HYPRE_Int, new_num_cols_offd, HYPRE_MEMORY_HOST); }
else
{ P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST); }
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < new_num_cols_offd; i++)
{ P_marker_offd[i] = 0; }
num_cols_offd_P = 0;
for (i = 0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker_offd[index])
{
num_cols_offd_P++;
P_marker_offd[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_offd_P, HYPRE_MEMORY_HOST);
permute = hypre_CTAlloc(HYPRE_Int, new_counter[num_passes - 1], HYPRE_MEMORY_HOST);
big_permute = hypre_CTAlloc(HYPRE_BigInt, new_counter[num_passes - 1], HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < new_counter[num_passes - 1]; i++)
{
big_permute[i] = -1;
}
cnt = 0;
for (i = 0; i < num_passes - 1; i++)
{
for (j = new_counter[i]; j < new_counter[i + 1]; j++)
{
if (P_marker_offd[j])
{
col_map_offd_P[cnt] = new_elmts[i][j - (HYPRE_BigInt)new_counter[i]];
big_permute[j] = col_map_offd_P[cnt++];
}
}
}
hypre_BigQsort0(col_map_offd_P, 0, num_cols_offd_P - 1);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,big_k1) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < new_counter[num_passes - 1]; i++)
{
big_k1 = big_permute[i];
if (big_k1 != -1)
{
permute[i] = hypre_BigBinarySearch(col_map_offd_P, big_k1, num_cols_offd_P);
}
}
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < P_offd_size; i++)
{ P_offd_j[i] = permute[P_offd_j[i]]; }
hypre_TFree(P_marker_offd, HYPRE_MEMORY_HOST);
}
if (num_procs > 1)
{
for (i = 0; i < num_passes - 1; i++)
{
hypre_TFree(new_elmts[i], HYPRE_MEMORY_HOST);
}
}
hypre_TFree(permute, HYPRE_MEMORY_HOST);
hypre_TFree(big_permute, HYPRE_MEMORY_HOST);
hypre_TFree(new_elmts, HYPRE_MEMORY_HOST);
hypre_TFree(new_counter, HYPRE_MEMORY_HOST);
if (num_cols_offd_P)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_offd_P;
}
if (n_SF)
{
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++)
if (CF_marker[i] == -3) { CF_marker[i] = -1; }
}
if (num_procs > 1)
{
hypre_MatvecCommPkgCreate(P);
}
*P_ptr = P;
/* wall_time = hypre_MPI_Wtime() - wall_time;
hypre_printf("TOTAL TIME %1.2e \n",wall_time); */
/*-----------------------------------------------------------------------
* Build and return dof_func array for coarse grid.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Free mapping vector and marker array.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_PROFILE
hypre_profile_times[HYPRE_TIMER_ID_MULTIPASS_INTERP] += hypre_MPI_Wtime();
#endif
return (0);
}
HYPRE_Int
hypre_BoomerAMGBuildMultipass( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int P_max_elmts,
HYPRE_Int weight_option,
hypre_ParCSRMatrix **P_ptr )
{
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPushRange("MultipassInterp");
#endif
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy2( hypre_ParCSRMatrixMemoryLocation(A),
hypre_ParCSRMatrixMemoryLocation(S) );
if (exec == HYPRE_EXEC_DEVICE)
{
/* Notice: call the mod version on GPUs */
ierr = hypre_BoomerAMGBuildModMultipassDevice( A, CF_marker, S, num_cpts_global,
trunc_factor, P_max_elmts, 9,
num_functions, dof_func,
P_ptr );
}
else
#endif
{
ierr = hypre_BoomerAMGBuildMultipassHost( A, CF_marker, S, num_cpts_global,
num_functions, dof_func, debug_flag,
trunc_factor, P_max_elmts, weight_option,
P_ptr );
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPopRange();
#endif
return ierr;
}
|
taskloop_simd_misc_messages.c | // RUN: %clang_cc1 -fsyntax-only -fopenmp -triple x86_64-unknown-unknown -verify %s
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp taskloop simd'}}
#pragma omp taskloop simd
// expected-error@+1 {{unexpected OpenMP directive '#pragma omp taskloop simd'}}
#pragma omp taskloop simd foo
void test_no_clause() {
int i;
#pragma omp taskloop simd
for (i = 0; i < 16; ++i)
;
// expected-error@+2 {{statement after '#pragma omp taskloop simd' must be a for loop}}
#pragma omp taskloop simd
++i;
}
void test_branch_protected_scope() {
int i = 0;
L1:
++i;
int x[24];
#pragma omp parallel
#pragma omp taskloop 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 taskloop simd' are ignored}}
#pragma omp taskloop simd foo bar
for (i = 0; i < 16; ++i)
;
// expected-error@+1 {{directive '#pragma omp taskloop simd' cannot contain more than one 'nogroup' clause}}
#pragma omp taskloop simd 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 simd' are ignored}}
#pragma omp taskloop simd;
for (i = 0; i < 16; ++i)
;
// expected-warning@+2 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
#pragma omp parallel
#pragma omp taskloop simd linear(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
#pragma omp taskloop simd private(x);
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+1 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
#pragma omp taskloop simd, 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 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 taskloop simd collapse(
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop 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 taskloop 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 taskloop simd collapse(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-warning@+2 {{extra tokens at the end of '#pragma omp taskloop simd' are ignored}}
// expected-error@+1 {{expected '('}}
#pragma omp taskloop 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 taskloop simd collapse(4
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop 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 taskloop simd collapse(4,
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop 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 taskloop simd collapse(4, )
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
// expected-note@+1 {{as specified in 'collapse' clause}}
#pragma omp taskloop simd collapse(4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop 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 taskloop simd collapse(4 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop 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 taskloop simd collapse(4, , 4)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
#pragma omp taskloop 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 taskloop simd collapse(4, 8)
for (i = 0; i < 16; ++i)
; // expected-error {{expected 4 for loops after '#pragma omp taskloop simd', but found only 1}}
#pragma omp parallel
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp taskloop simd collapse(2.5)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expression is not an integer constant expression}}
#pragma omp taskloop 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 taskloop 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 taskloop 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 taskloop simd 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 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 taskloop simd private(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd private(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd private()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd private(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop simd private(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop simd private(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd private(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop 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 taskloop 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 taskloop simd lastprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd lastprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd lastprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd lastprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop simd lastprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop 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 taskloop 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 taskloop simd firstprivate(,
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 2 {{expected expression}}
#pragma omp taskloop simd firstprivate(, )
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd firstprivate()
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected expression}}
#pragma omp taskloop simd firstprivate(int)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
// expected-error@+1 {{expected variable name}}
#pragma omp taskloop simd firstprivate(0)
for (i = 0; i < 16; ++i)
;
int x, y, z;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x) firstprivate(x)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop simd lastprivate(x, y) firstprivate(x, y)
for (i = 0; i < 16; ++i)
;
#pragma omp parallel
#pragma omp taskloop 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 taskloop 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 taskloop simd
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 simd
for (__int128 ii = 0; ii < 10; ii++) {
c[ii] = a[ii] + b[ii];
}
}
|
zpoinv.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @precisions normal z -> s d c
*
**/
#include "plasma.h"
#include "plasma_async.h"
#include "plasma_context.h"
#include "plasma_descriptor.h"
#include "plasma_internal.h"
#include "plasma_tuning.h"
#include "plasma_types.h"
#include "plasma_workspace.h"
/***************************************************************************//**
*
* @ingroup plasma_poinv
*
* Performs the Cholesky inversion of a Hermitian positive definite
* matrix A.
*
*******************************************************************************
*
* @param[in] uplo
* - PlasmaUpper: Upper triangle of A is stored;
* - PlasmaLower: Lower triangle of A is stored.
*
* @param[in] n
* The order of the matrix A. n >= 0.
*
* @param[in,out] pA
* On entry, the Hermitian positive definite matrix A.
* If uplo = PlasmaUpper, the leading N-by-N upper triangular part of A
* contains the upper triangular part of the matrix A, and the strictly
* lower triangular part of A is not referenced.
* If uplo = PlasmaLower, the leading N-by-N lower triangular part of A
* contains the lower triangular part of the matrix A, and the strictly
* upper triangular part of A is not referenced.
* On exit, if return value = 0, the inverse of A following a
* Cholesky factorization A = U^H*U or A = L*L^H.
*
* @param[in] lda
* The leading dimension of the array A. lda >= max(1,n).
*
*******************************************************************************
*
* @retval PlasmaSuccess successful exit
* @retval < 0 if -i, the i-th argument had an illegal value
* @retval > 0 if i, the leading minor of order i of A is not
* positive definite, so the factorization could not
* be completed, and the solution has not been computed.
*
*******************************************************************************
*
* @sa plasma_cpoinv
* @sa plasma_dpoinv
* @sa plasma_spoinv
*
******************************************************************************/
int plasma_zpoinv(plasma_enum_t uplo,
int n,
plasma_complex64_t *pA, int lda)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_fatal_error("PLASMA not initialized");
return PlasmaErrorNotInitialized;
}
// Check input arguments.
if ((uplo != PlasmaUpper) &&
(uplo != PlasmaLower)) {
plasma_error("illegal value of uplo");
return -1;
}
if (n < 0) {
plasma_error("illegal value of n");
return -2;
}
if (lda < imax(1, n)) {
plasma_error("illegal value of lda");
return -4;
}
// quick return
if (imax(n, 0) == 0)
return PlasmaSuccess;
// Tune parameters.
if (plasma->tuning)
plasma_tune_poinv(plasma, PlasmaComplexDouble, n);
// Set tiling parameters.
int nb = plasma->nb;
// Create tile matrix.
plasma_desc_t A;
int retval;
retval = plasma_desc_triangular_create(PlasmaComplexDouble, uplo, nb, nb,
n, n, 0, 0, n, n, &A);
if (retval != PlasmaSuccess) {
plasma_error("plasma_desc_general_create() failed");
return retval;
}
// Create sequence.
plasma_sequence_t *sequence = NULL;
retval = plasma_sequence_create(&sequence);
if (retval != PlasmaSuccess) {
plasma_error("plasma_sequence_create() failed");
return retval;
}
// Initialize request.
plasma_request_t request = PlasmaRequestInitializer;
// asynchronous block
#pragma omp parallel
#pragma omp master
{
// Translate to tile layout.
plasma_omp_ztr2desc(pA, lda, A, sequence, &request);
// Call the tile async function.
plasma_omp_zpoinv(uplo, A, sequence, &request);
// Translate back to LAPACK layout.
plasma_omp_zdesc2tr(A, pA, lda, sequence, &request);
}
// implicit synchronization
// Free matrix A in tile layout.
plasma_desc_destroy(&A);
// Return status.
int status = sequence->status;
plasma_sequence_destroy(sequence);
return status;
}
/***************************************************************************//**
*
* @ingroup plasma_poinv
*
* Computes the inverse of a complex Hermitian
* positive definite matrix A using the Cholesky factorization.
*
*******************************************************************************
*
* @param[in] uplo
* - PlasmaUpper: Upper triangle of A is stored;
* - PlasmaLower: Lower triangle of A is stored.
*
* @param[in] A
* On entry, the Hermitian positive definite matrix A.
* On exit, the upper or lower triangle of the (Hermitian)
* inverse of A, overwriting the input factor U or L.
*
* @param[in] sequence
* Identifies the sequence of function calls that this call belongs to
* (for completion checks and exception handling purposes). Check
* the sequence->status for errors.
*
* @param[out] request
* Identifies this function call (for exception handling purposes).
*
* @retval void
* Errors are returned by setting sequence->status and
* request->status to error values. The sequence->status and
* request->status should never be set to PlasmaSuccess (the
* initial values) since another async call may be setting a
* failure value at the same time.
*
*******************************************************************************
*
* @sa plasma_zpoinv
* @sa plasma_omp_zpoinv
* @sa plasma_omp_cpoinv
* @sa plasma_omp_dpoinv
* @sa plasma_omp_spoinv
*
******************************************************************************/
void plasma_omp_zpoinv(plasma_enum_t uplo, plasma_desc_t A,
plasma_sequence_t *sequence, plasma_request_t *request)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_error("PLASMA not initialized");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// Check input arguments.
if ((uplo != PlasmaUpper) &&
(uplo != PlasmaLower)) {
plasma_error("illegal value of uplo");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (plasma_desc_check(A) != PlasmaSuccess) {
plasma_error("invalid A");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (sequence == NULL) {
plasma_error("NULL sequence");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (request == NULL) {
plasma_error("NULL request");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// quick return
if (A.n == 0) {
return;
}
// Factorize A.
plasma_pzpotrf(uplo, A, sequence, request);
// Invert triangular part.
plasma_pztrtri(uplo, PlasmaNonUnit, A, sequence, request);
// Compute product of upper and lower triangle.
plasma_pzlauum(uplo, A, sequence, request);
}
|
shared_array.h | #ifndef OPENMC_SHARED_ARRAY_H
#define OPENMC_SHARED_ARRAY_H
//! \file shared_array.h
//! \brief Shared array data structure
#include <memory>
namespace openmc {
//==============================================================================
// Class declarations
//==============================================================================
// This container is an array that is capable of being appended to in an
// thread safe manner by use of atomics. It only provides protection for the
// use cases currently present in OpenMC. Namely, it covers the scenario where
// multiple threads are appending to an array, but no threads are reading from
// or operating on it in any other way at the same time. Multiple threads can
// call the thread_safe_append() function concurrently and store data to the
// object at the index returned from thread_safe_append() safely, but no other
// operations are protected.
template <typename T>
class SharedArray {
public:
//==========================================================================
// Constructors
//! Default constructor.
SharedArray() = default;
//! Construct a zero size container with space to hold capacity number of
//! elements.
//
//! \param capacity The number of elements for the container to allocate
//! space for
SharedArray(int64_t capacity) : capacity_(capacity)
{
data_ = std::make_unique<T[]>(capacity);
}
//==========================================================================
// Methods and Accessors
//! Return a reference to the element at specified location i. No bounds
//! checking is performed.
T& operator[](int64_t i) {return data_[i];}
const T& operator[](int64_t i) const { return data_[i]; }
//! Allocate space in the container for the specified number of elements.
//! reserve() does not change the size of the container.
//
//! \param capacity The number of elements to allocate in the container
void reserve(int64_t capacity)
{
data_ = std::make_unique<T[]>(capacity);
capacity_ = capacity;
}
//! Increase the size of the container by one and append value to the
//! array. Returns an index to the element of the array written to. Also
//! tests to enforce that the append operation does not read off the end
//! of the array. In the event that this does happen, set the size to be
//! equal to the capacity and return -1.
//
//! \value The value of the element to append
//! \return The index in the array written to. In the event that this
//! index would be greater than what was allocated for the container,
//! return -1.
int64_t thread_safe_append(const T& value)
{
// Atomically capture the index we want to write to
int64_t idx;
#pragma omp atomic capture
idx = size_++;
// Check that we haven't written off the end of the array
if (idx >= capacity_) {
#pragma omp atomic write
size_ = capacity_;
return -1;
}
// Copy element value to the array
data_[idx] = value;
return idx;
}
//! Free any space that was allocated for the container. Set the
//! container's size and capacity to 0.
void clear()
{
data_.reset();
size_ = 0;
capacity_ = 0;
}
//! Return the number of elements in the container
int64_t size() {return size_;}
//! Resize the container to contain a specified number of elements. This is
//! useful in cases where the container is written to in a non-thread safe manner,
//! where the internal size of the array needs to be manually updated.
//
//! \param size The new size of the container
void resize(int64_t size) {size_ = size;}
//! Return the number of elements that the container has currently allocated
//! space for.
int64_t capacity() {return capacity_;}
//! Return pointer to the underlying array serving as element storage.
T* data() {return data_.get();}
const T* data() const {return data_.get();}
private:
//==========================================================================
// Data members
std::unique_ptr<T[]> data_; //!< An RAII handle to the elements
int64_t size_ {0}; //!< The current number of elements
int64_t capacity_ {0}; //!< The total space allocated for elements
};
} // namespace openmc
#endif // OPENMC_SHARED_ARRAY_H
|
C_fht_int.c | /* Hadamard Transform
Usage: w = hadamard(x)
x must be a REAL VALUED COLUMN VECTOR or MATRIX
m = size(x,1) must be a POWER OF TWO
Notes:
1) This implementation uses exactly m*log2(m) additions/subtractions.
2) This is symmetric and orthogonal. To invert, apply again and
divide by vector length.
*/
#include "Python.h"
#include "arrayobject.h"
#define CTYPE int
#if PY_MAJOR_VERSION >= 3
struct module_state {
PyObject *error;
};
#define GETSTATE(m) ((struct module_state*)PyModule_GetState(m))
#endif
#define DIND1(a, i) *((CTYPE *) PyArray_GETPTR1(a, i))
#define DIND2(a, i, j) *((CTYPE *) PyArray_GETPTR2(a, i, j))
static PyObject *fht1_int(PyObject *self, PyObject *args);
static PyObject *fht2_int(PyObject *self, PyObject *args);
void hadamard_apply_vector(PyArrayObject *y, PyArrayObject *x, unsigned m);
static PyMethodDef _py_hadamardMethods[] = {
{"fht1_int", fht1_int, METH_VARARGS},
{"fht2_int", fht2_int, METH_VARARGS},
{NULL, NULL} /* Sentinel - marks the end of this structure */
};
static PyObject *fht1_int(PyObject *self, PyObject *args)
{
/* Input and output matrices to be extracted from args */
PyArrayObject *vector_in, *vector_out;
/*integers : dimension of the input and output array */
int dim0;
unsigned bit, j, k;
CTYPE temp;
/* Parse tuples separately since args will differ between C fcns */
if (!PyArg_ParseTuple(args, "O!O!", &PyArray_Type, &vector_in,
&PyArray_Type, &vector_out))
return NULL;
/*Raise errors if input vector is missing*/
/* Get vector dimensions. */
dim0 = vector_in->dimensions[0];
for (j = 0; j < dim0; j+=2) {
k = j+1;
DIND1(vector_out, j) = DIND1(vector_in, j) + DIND1(vector_in, k);
DIND1(vector_out, k) = DIND1(vector_in, j) - DIND1(vector_in, k);
}
for (bit = 2; bit < dim0; bit <<= 1) {
for (j = 0; j < dim0; j++) {
if( (bit & j) == 0 ) {
k = j | bit;
temp = DIND1(vector_out, j);
DIND1(vector_out, j) = DIND1(vector_out, j) + DIND1(vector_out, k);
DIND1(vector_out, k) = temp - DIND1(vector_out, k);
}
}
}
return Py_BuildValue("d", 1.);
}
/*perform 1d fht for each line (first axis) of the input array */
static PyObject *fht2_int(PyObject *self, PyObject *args) {
PyArrayObject *arr1, *oarr;
int dim1, dim2;
unsigned bit, i, j, k;
CTYPE temp;
if (!PyArg_ParseTuple(args, "O!O!", &PyArray_Type, &arr1,
&PyArray_Type, &oarr)) return NULL;
dim1 = arr1->dimensions[0];
dim2 = arr1->dimensions[1];
/* First loop on the first axis (time) */
#pragma omp parallel shared(arr1, oarr, dim1, dim2) private(i, j, k, bit, temp)
#pragma omp for
for (i = 0; i < dim1; i++) {
/* Hadamard transform on the other axis*/
for (j = 0; j < dim2; j+=2) {
k = j+1;
DIND2(oarr, i, j) = DIND2(arr1, i, j) + DIND2(arr1, i, k);
DIND2(oarr, i, k) = DIND2(arr1, i, j) - DIND2(arr1, i, k);
}
for (bit = 2; bit < dim2; bit <<= 1) {
for (j = 0; j < dim2; j++) {
if( (bit & j) == 0 ) {
k = j | bit;
temp = DIND2(oarr, i, j);
DIND2(oarr, i, j) = DIND2(oarr, i, j) + DIND2(oarr, i, k);
DIND2(oarr, i, k) = temp - DIND2(oarr, i, k);
}
}
}
}
return Py_BuildValue("d", 1.);
}
#if PY_MAJOR_VERSION >= 3
static int _py_hadamard_traverse(PyObject *m, visitproc visit, void *arg) {
Py_VISIT(GETSTATE(m)->error);
return 0;
}
static int _py_hadamard_clear(PyObject *m) {
Py_CLEAR(GETSTATE(m)->error);
return 0;
}
static struct PyModuleDef moduledef = {
PyModuleDef_HEAD_INIT,
"_py_hadamard",
NULL,
sizeof(struct module_state),
_py_hadamardMethods,
NULL,
_py_hadamard_traverse,
_py_hadamard_clear,
NULL
};
PyMODINIT_FUNC
PyInit__C_fht_int(void)
{
PyObject *m = PyModule_Create(&moduledef);
import_array(); // Must be present for NumPy. Called first after above line.
return m;
}
#else
void init_C_fht_int() {
(void) Py_InitModule("_C_fht_int", _py_hadamardMethods);
import_array(); // Must be present for NumPy. Called first after above line.
Py_Initialize();
}
#endif
|
XSHA_fmt_plug.c | /*
* This file is part of John the Ripper password cracker,
* Copyright (c) 2008,2011 by Solar Designer
*
* Intrinsics support added by magnum 2011.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_XSHA;
#elif FMT_REGISTERS_H
john_register_one(&fmt_XSHA);
#else
#include <string.h>
#include "arch.h"
#ifdef SIMD_COEF_32
#define NBKEYS (SIMD_COEF_32 * SIMD_PARA_SHA1)
#ifdef _OPENMP
static unsigned int omp_t = 1;
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 128
#endif
#endif
#endif
#include "simd-intrinsics.h"
#include "params.h"
#include "common.h"
#include "formats.h"
#include "sha.h"
#include "johnswap.h"
#include "memdbg.h"
#define FORMAT_LABEL "xsha"
#define FORMAT_NAME "Mac OS X 10.4 - 10.6"
#define ALGORITHM_NAME "SHA1 " SHA1_ALGORITHM_NAME
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH 0
#define PLAINTEXT_LENGTH 51
#define CIPHERTEXT_LENGTH 48
#define BINARY_SIZE 20
#define BINARY_ALIGN 4
#define SALT_SIZE 4
#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 + (3-((i)&3)) + (unsigned int)index/SIMD_COEF_32*SHA_BUF_SIZ*SIMD_COEF_32*4 ) //for endianity conversion
#else
#define MIN_KEYS_PER_CRYPT 1
#ifdef _OPENMP
#define MAX_KEYS_PER_CRYPT (0x200 * 3)
#else
#define MAX_KEYS_PER_CRYPT 0x100
#endif
#endif
static struct fmt_tests tests[] = {
{"12345678F9083C7F66F46A0A102E4CC17EC08C8AF120571B", "abc"},
{"12345678EB8844BFAF2A8CBDD587A37EF8D4A290680D5818", "azertyuiop1"},
{"3234C32AAA335FD20E3F95870E5851BDBE942B79CE4FDD92", "azertyuiop2"},
{"01295B67659E95F32931CEDB3BA50289E2826AF3D5A1422F", "apple"},
{"0E6A48F765D0FFFFF6247FA80D748E615F91DD0C7431E4D9", "macintosh"},
{"A320163F1E6DB42C3949F7E232888ACC7DB7A0A17E493DBA", "test"},
{"743777471285CB3566886D4821D556E475E0DF9234308B22", "123"},
{"474379622BD7B9F84BD6E4BB52ABF9D01705EFB0A2426655", "passWOrd"},
{"597A523666A10C534495DB6333CF7EBA70C1A578CADE11A3", ""},
{NULL}
};
#ifdef SIMD_COEF_32
static ARCH_WORD_32 (*saved_key);
static ARCH_WORD_32 (*crypt_key);
static ARCH_WORD_32 cur_salt;
#else
static char saved_key[MAX_KEYS_PER_CRYPT][PLAINTEXT_LENGTH + 1];
static int saved_len[MAX_KEYS_PER_CRYPT];
static SHA_CTX ctx_salt;
static ARCH_WORD_32 crypt_out[MAX_KEYS_PER_CRYPT][5];
#endif
static void init(struct fmt_main *self)
{
#ifdef SIMD_COEF_32
#if defined (_OPENMP)
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt = omp_t * NBKEYS;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt = omp_t * NBKEYS;
#endif
saved_key = mem_calloc_align(self->params.max_keys_per_crypt,
SHA_BUF_SIZ * 4, MEM_ALIGN_SIMD);
crypt_key = mem_calloc_align(self->params.max_keys_per_crypt,
BINARY_SIZE, MEM_ALIGN_SIMD);
#endif
}
static void done(void)
{
#ifdef SIMD_COEF_32
MEM_FREE(crypt_key);
MEM_FREE(saved_key);
#endif
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *pos;
/* Require uppercase hex digits (assume ASCII) */
pos = ciphertext;
while (atoi16[ARCH_INDEX(*pos)] != 0x7F && *pos < 'a')
pos++;
return !*pos && pos - ciphertext == CIPHERTEXT_LENGTH;
}
static void *get_binary(char *ciphertext)
{
static unsigned char *out;
char *p;
int i;
if (!out)
out = mem_alloc_tiny(BINARY_SIZE, MEM_ALIGN_WORD);
p = ciphertext + 8;
for (i = 0; i < BINARY_SIZE; i++) {
out[i] =
(atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
#ifdef SIMD_COEF_32
alter_endianity(out, BINARY_SIZE);
#endif
return out;
}
static void *get_salt(char *ciphertext)
{
static unsigned int outbuf[SALT_SIZE / sizeof(int)];
unsigned char *out = (unsigned char*)outbuf;
char *p;
int i;
p = ciphertext;
for (i = 0; i < SALT_SIZE; i++) {
out[i] =
(atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
#ifdef SIMD_COEF_32
alter_endianity(out, SALT_SIZE);
#endif
return out;
}
#ifdef SIMD_COEF_32
static int get_hash_0(int index)
{
unsigned int x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
return ((ARCH_WORD_32*)crypt_key)[x+y*SIMD_COEF_32*5] & PH_MASK_0;
}
static int get_hash_1(int index)
{
unsigned int x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
return ((ARCH_WORD_32*)crypt_key)[x+y*SIMD_COEF_32*5] & PH_MASK_1;
}
static int get_hash_2(int index)
{
unsigned int x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
return ((ARCH_WORD_32*)crypt_key)[x+y*SIMD_COEF_32*5] & PH_MASK_2;
}
static int get_hash_3(int index)
{
unsigned int x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
return ((ARCH_WORD_32*)crypt_key)[x+y*SIMD_COEF_32*5] & PH_MASK_3;
}
static int get_hash_4(int index)
{
unsigned int x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
return ((ARCH_WORD_32*)crypt_key)[x+y*SIMD_COEF_32*5] & PH_MASK_4;
}
static int get_hash_5(int index)
{
unsigned int x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
return ((ARCH_WORD_32*)crypt_key)[x+y*SIMD_COEF_32*5] & PH_MASK_5;
}
static int get_hash_6(int index)
{
unsigned int x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
return ((ARCH_WORD_32*)crypt_key)[x+y*SIMD_COEF_32*5] & PH_MASK_6;
}
#else
static int get_hash_0(int index)
{
return crypt_out[index][0] & PH_MASK_0;
}
static int get_hash_1(int index)
{
return crypt_out[index][0] & PH_MASK_1;
}
static int get_hash_2(int index)
{
return crypt_out[index][0] & PH_MASK_2;
}
static int get_hash_3(int index)
{
return crypt_out[index][0] & PH_MASK_3;
}
static int get_hash_4(int index)
{
return crypt_out[index][0] & PH_MASK_4;
}
static int get_hash_5(int index)
{
return crypt_out[index][0] & PH_MASK_5;
}
static int get_hash_6(int index)
{
return crypt_out[index][0] & PH_MASK_6;
}
#endif
static int salt_hash(void *salt)
{
return *(ARCH_WORD_32 *)salt & (SALT_HASH_SIZE - 1);
}
static void set_salt(void *salt)
{
#ifdef SIMD_COEF_32
cur_salt = *(ARCH_WORD_32*)salt;
#else
SHA1_Init(&ctx_salt);
SHA1_Update(&ctx_salt, salt, SALT_SIZE);
#endif
}
static void set_key(char *key, int index)
{
#ifdef SIMD_COEF_32
#if ARCH_ALLOWS_UNALIGNED
const ARCH_WORD_32 *wkey = (ARCH_WORD_32*)key;
#else
char buf_aligned[PLAINTEXT_LENGTH + 1] JTR_ALIGN(sizeof(uint32_t));
const ARCH_WORD_32 *wkey = (uint32_t*)(is_aligned(key, sizeof(uint32_t)) ?
key : strcpy(buf_aligned, key));
#endif
ARCH_WORD_32 *keybuffer = &saved_key[(index&(SIMD_COEF_32-1)) + (unsigned int)index/SIMD_COEF_32*SHA_BUF_SIZ*SIMD_COEF_32 + SIMD_COEF_32];
ARCH_WORD_32 *keybuf_word = keybuffer;
unsigned int len;
ARCH_WORD_32 temp;
len = 4;
while((temp = *wkey++) & 0xff) {
if (!(temp & 0xff00))
{
*keybuf_word = JOHNSWAP((temp & 0xff) | (0x80 << 8));
len++;
goto key_cleaning;
}
if (!(temp & 0xff0000))
{
*keybuf_word = JOHNSWAP((temp & 0xffff) | (0x80 << 16));
len+=2;
goto key_cleaning;
}
if (!(temp & 0xff000000))
{
*keybuf_word = JOHNSWAP(temp | (0x80U << 24));
len+=3;
goto key_cleaning;
}
*keybuf_word = JOHNSWAP(temp);
len += 4;
keybuf_word += SIMD_COEF_32;
}
*keybuf_word = 0x80000000;
key_cleaning:
keybuf_word += SIMD_COEF_32;
while(*keybuf_word) {
*keybuf_word = 0;
keybuf_word += SIMD_COEF_32;
}
keybuffer[14*SIMD_COEF_32] = len << 3;
#else
int length = strlen(key);
if (length > PLAINTEXT_LENGTH)
length = PLAINTEXT_LENGTH;
saved_len[index] = length;
memcpy(saved_key[index], key, length);
#endif
}
static char *get_key(int index)
{
#ifdef SIMD_COEF_32
unsigned int i,s;
static char out[PLAINTEXT_LENGTH + 1];
s = ((unsigned int *)saved_key)[15*SIMD_COEF_32 + (index&(SIMD_COEF_32-1)) + (unsigned int)index/SIMD_COEF_32*SHA_BUF_SIZ*SIMD_COEF_32] >> 3;
for(i = 0; i < (s - SALT_SIZE); i++)
out[i] = ((char*)saved_key)[ GETPOS((i + SALT_SIZE), index) ];
out[i] = 0;
return (char *) out;
#else
saved_key[index][saved_len[index]] = 0;
return saved_key[index];
#endif
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
#ifdef SIMD_COEF_32
int i = 0;
#if defined(_OPENMP)
#pragma omp parallel for
for (i=0; i < omp_t; i++) {
#endif
unsigned int *in = &saved_key[i*NBKEYS*SHA_BUF_SIZ];
unsigned int *out = &crypt_key[i*NBKEYS*BINARY_SIZE/4];
unsigned int j;
for (j=0; j < NBKEYS; j++)
in[(j&(SIMD_COEF_32-1)) + j/SIMD_COEF_32*SHA_BUF_SIZ*SIMD_COEF_32] = cur_salt;
SIMDSHA1body(in, out, NULL, SSEi_MIXED_IN);
#if defined(_OPENMP)
}
#endif
#else
int i;
#ifdef _OPENMP
#pragma omp parallel for default(none) private(i) shared(ctx_salt, saved_key, saved_len, crypt_out)
#endif
for (i = 0; i < count; i++) {
SHA_CTX ctx;
memcpy(&ctx, &ctx_salt, sizeof(ctx));
SHA1_Update(&ctx, saved_key[i], saved_len[i]);
SHA1_Final((unsigned char *)(crypt_out[i]), &ctx);
}
#endif
return count;
}
static int cmp_all(void *binary, int count)
{
#ifdef SIMD_COEF_32
unsigned int x,y=0;
#ifdef _OPENMP
for(;y<SIMD_PARA_SHA1*omp_t;y++)
#else
for(;y<SIMD_PARA_SHA1;y++)
#endif
for(x=0;x<SIMD_COEF_32;x++)
{
if( ((ARCH_WORD_32 *)binary)[0] == ((ARCH_WORD_32 *)crypt_key)[x+y*SIMD_COEF_32*5] )
return 1;
}
return 0;
#else
ARCH_WORD_32 b0 = *(ARCH_WORD_32 *)binary;
int i;
for (i = 0; i < count; i++) {
if (b0 != crypt_out[i][0])
continue;
if (!memcmp(binary, crypt_out[i], BINARY_SIZE))
return 1;
}
return 0;
#endif
}
static int cmp_one(void *binary, int index)
{
#ifdef SIMD_COEF_32
unsigned int x,y;
x = index&(SIMD_COEF_32-1);
y = (unsigned int)index/SIMD_COEF_32;
if( ((ARCH_WORD_32 *)binary)[0] != ((ARCH_WORD_32 *)crypt_key)[x+y*SIMD_COEF_32*5] )
return 0;
if( ((ARCH_WORD_32 *)binary)[1] != ((ARCH_WORD_32 *)crypt_key)[x+y*SIMD_COEF_32*5+SIMD_COEF_32] )
return 0;
if( ((ARCH_WORD_32 *)binary)[2] != ((ARCH_WORD_32 *)crypt_key)[x+y*SIMD_COEF_32*5+2*SIMD_COEF_32] )
return 0;
if( ((ARCH_WORD_32 *)binary)[3] != ((ARCH_WORD_32 *)crypt_key)[x+y*SIMD_COEF_32*5+3*SIMD_COEF_32] )
return 0;
if( ((ARCH_WORD_32 *)binary)[4] != ((ARCH_WORD_32 *)crypt_key)[x+y*SIMD_COEF_32*5+4*SIMD_COEF_32] )
return 0;
return 1;
#else
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
#endif
}
static int cmp_exact(char *source, int index)
{
return 1;
}
struct fmt_main fmt_XSHA = {
{
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_OMP | FMT_OMP_BAD | FMT_CASE | FMT_8_BIT,
{ NULL },
{ NULL },
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash_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 */
|
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
printf(" num_threads = %d", omp_get_num_threads());
#pragma omp for reduction(+:sum) private(x)
for (i = 0; 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);
}
}
|
GB_unaryop__lnot_uint8_int32.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__lnot_uint8_int32
// op(A') function: GB_tran__lnot_uint8_int32
// C type: uint8_t
// A type: int32_t
// cast: uint8_t cij = (uint8_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
int32_t
#define GB_CTYPE \
uint8_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int32_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// 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_LNOT || GxB_NO_UINT8 || GxB_NO_INT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_uint8_int32
(
uint8_t *Cx, // Cx and Ax may be aliased
int32_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__lnot_uint8_int32
(
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
|
mpi_floyd.c | /*
* programa.c
* @author Pedro Alonso
* @version 1.0
* @date 2017/12/12
*/
#include <stdio.h>
#include <stdlib.h>
#include <mpi.h>
#include <math.h>
#include <omp.h>
#define min(a,b) ((a)<(b)?(a):(b))
void rutina( const int n_nodos, const float *A, float *D );
/*
* MAIN: Programa principal
*/
int main(int argc, char *argv[]) {
int rank, size;
MPI_Init( &argc, &argv );
MPI_Comm_rank( MPI_COMM_WORLD, &rank );
MPI_Comm_size( MPI_COMM_WORLD, &size );
//MPI_Status status;
/* COMPROBAR ARGUMENTOS */
if ( argc < 2 ) {
if( !rank ) fprintf( stderr, "\nUso: %s <numero_de_nodos> \n\n", argv[0] );
MPI_Finalize();
return 0;
}
int n_nodos;
sscanf(argv[1],"%d",&n_nodos);
float *A = NULL, *D = NULL;
/* Si soy el proceso 0 genero los datos */
if( ! rank ) {
/* Generacion de la matriz de adyacencia */
if ( ( A = (float *) malloc( n_nodos*n_nodos*sizeof(float) ) ) == NULL ) {
fprintf( stderr, "Error: Imposible reservar memoria para %.0f GB\n", (int) n_nodos*n_nodos*sizeof(float)/1.0e9 );
MPI_Finalize();
return 0;
}
int i, j;
for( i=0; i<n_nodos; i++ ) {
for( j=0; j<n_nodos; j++ ) {
if( i==j )
A[i*n_nodos+j] = 0.0f;
else
A[i*n_nodos+j] = (100.0f * ( (float) rand() / RAND_MAX )) + 1;
}
}
/* Generacion de la matriz de distancias */
if( ( D = (float *) malloc( n_nodos*n_nodos*sizeof(float) ) ) == NULL ) {
fprintf( stderr, "Error: Imposible reservar %.0f GB para la matriz D \n", (int) n_nodos*n_nodos*sizeof(float)/1.0e9 );
return 0;
}
}
//MPI_Bcast( &A, n_nodos*n_nodos, MPI_FLOAT, 0, commcol);
double inicio = 0.0;
if( ! rank ) {
inicio = MPI_Wtime();
}
/*
* FUNCION: Algoritmo de Floyd para encontrar el coste del camino mínimo entre
* cualquier par de vértices.
* La version facilitada a continuación es secuencial, es decir, solo funciona para un proceso.
*/
int i, j, k;
double sqrResult = sqrt(size);
int value = (int)(sqrResult*10);
int dim1, dim2;
//printf("Es una raiz exacta");
if(value % 10 != 0){
if(size == 6){
dim1 = 2;
dim2 = 3;
}else if(size == 36){
dim1 = 1;
dim2 = 32;
}else{
return -1;
}
//valor = dim1 + dim2
if(DEBUG){
if(!rank){
printf("D1 %d D2 %d\n", dim1, dim2);
printf("No Es una raiz exacta, value=%d, sqrt=%f\n", value, sqrResult);
}
}
}else{
dim1 = (int)sqrResult;
dim2 = (int)sqrResult;
}
int chunk1 = n_nodos/dim1;
int chunk2 = n_nodos/dim2;
//if(!rank){
// printf("chunk1=%d\n", chunk1);
// printf("chunk2=%d\n", chunk2);
//}
MPI_Comm comm2D;
int ndims, reorder, periods[2], dim_size[2];
int id2D, coords2D[2];
ndims = 2;
dim_size[0] = dim1;
dim_size[1] = dim2;
periods[0] = 0;
periods[1] = 0;
reorder = 1;
/********************************/
/* Creación del grid cartesiano */
/********************************/
MPI_Cart_create(MPI_COMM_WORLD, ndims, dim_size, periods, reorder, &comm2D);
/*************************************************/
/* División en comunicadores de filas y columnas */
/*************************************************/
MPI_Comm commrow, commcol;
int belongs[2];
/* Create 2D Cartesian topology for processes */
MPI_Comm_rank(comm2D, &id2D);
MPI_Cart_coords(comm2D, id2D, ndims, coords2D);
/* Create 1D row subgrids */
belongs[0] = 0;
belongs[1] = 1; // this dimension belongs to subgrid
MPI_Cart_sub(comm2D, belongs, &commrow);
/* Create 1D column subgrids */
belongs[0] = 1; /* this dimension belongs to subgrid */
belongs[1] = 0;
MPI_Cart_sub(comm2D, belongs, &commcol);
float *Dloc = (float *) malloc( chunk1*chunk2*sizeof(float));
float *DKloc = (float *) malloc( chunk1*chunk2*sizeof(float));
int p;
int coordsDist[2];
if(!rank){
//Relleno la parte de la matriz D local al procesador P_N, N \in [1,...,Num_procs-1]
for(p = 1; p < size; p++){
//(obtengo Cord. Cart => P_N => P_X_Y)
MPI_Cart_coords(comm2D, p, 2, coordsDist);
//Relleno su matriz
for(i = 0; i < chunk1; i++){
for(j = 0; j < chunk2; j++){
DKloc[i*chunk2+j] = A[(i+chunk1*coordsDist[0])*n_nodos+(j+chunk2*coordsDist[1])];
}
}
//Y se la envio
MPI_Send(DKloc, chunk1*chunk2, MPI_FLOAT, p, 0, MPI_COMM_WORLD);
}
//Cuando acabo con todos, relleno la del root (P_0)
MPI_Cart_coords(comm2D, 0, 2, coordsDist);
//printf("P(%d,%d)\n", coordsDist[0], coordsDist[1]);
for(i = 0; i < chunk1; i++){
for(j = 0; j < chunk2; j++){
DKloc[i*chunk2+j] = A[(i+chunk1*coordsDist[0])*n_nodos+(j+chunk2*coordsDist[1])];
}
}
if(DEBUG){
printf("A=%d\n", rank);
for( i=0; i<n_nodos; i++ ) {
for( j=0; j<n_nodos; j++ ) {
printf("%.f ", A[i*n_nodos+j]);
}
printf("\n");
}
}
}else{
//Recibo mi trozo
MPI_Recv(DKloc, chunk1*chunk2, MPI_FLOAT, 0, 0, MPI_COMM_WORLD, MPI_STATUS_IGNORE);
}
if(DEBUG){
//Imprime cada uno su trozo (sanity check)
printf("Proc=%d\n", rank);
for( i=0; i<chunk1; i++ ) {
for( j=0; j<chunk2; j++ ) {
printf("%.f ", DKloc[i*chunk2+j]);
}
printf("\n");
}
}
float localDkRow[chunk2];
float localDkCol[chunk1];
//Itero sobre las k etapas, tantas como nodos
for( k=0; k<n_nodos; k++ ) {
//Si soy un proceso que tiene esta fila
//(la primera coordenada es igual a la division entera k/chunk)
//i.e: P_1_3 tiene la fila k=5 si el chunk es de 3? 5/3 = 1 SI,
if(k/chunk1 == coords2D[0]){
for( j=0; j<chunk2; j++ ) {
localDkRow[j] = DKloc[(k%chunk1) * chunk2 + j];
}
//printf("I'm ROW root=%d\n", id2D);
}
//each process Pi,j that has a segment of the k_th row broadcast it to the P*,j proc
MPI_Bcast( &localDkRow, chunk2, MPI_FLOAT, k/chunk1, commcol);
//Si soy un proceso que tiene esta columna
//(la segunda coordenada es igual a la division entera k/chunk)
//i.e: P_1_3 tiene la columna k=5 si el chunk es de 3? 5/3 = 1 NO
//i.e: Y P_2_1? SI!
if(k/chunk2 == coords2D[1]){
for( i=0; i<chunk1; i++ ) {
localDkCol[i]= DKloc[i * chunk2 + (k%chunk2)];
}
//printf("I'm COL root=%d\n", id2D);
}
//each process Pi,j that has a segment of the k_th row broadcast it to the P*,j proc
MPI_Bcast( &localDkCol, chunk1, MPI_FLOAT, k/chunk2, commrow);
//Local computation on each block individually
//INCLUDE OPENMP HERE
int n_th;
#pragma omp parallel for private(j)
for( i=0; i<chunk1; i++ ) {
for( j=0; j<chunk2; j++ ) {
Dloc[i*chunk2+j] = min( DKloc[i*chunk2+j], localDkCol[i] + localDkRow[j]);
}
}
if( k < n_nodos-1 ) {
#pragma omp parallel for private(j)
for( i=0; i<chunk1; i++ ) {
for( j=0; j<chunk2; j++ ) {
DKloc[i*chunk2+j] = Dloc[i*chunk2+j];
}
}
}
}
if(DEBUG){
printf("P(sol)=%d\n", rank);
for( i=0; i<chunk1; i++ ) {
for( j=0; j<chunk2; j++ ) {
printf("%.f ", DKloc[i*chunk2+j]);
}
printf("\n");
}
}
//Gathering the results...
int Bi,Bj;
int coordRank;
int inner_i, inner_j;
if(!rank){
//Bloque a bloque voy recogiendo
for (Bi = 0; Bi < dim1; ++Bi)
{
for (Bj = 0; Bj < dim2; ++Bj){
if(Bi == 0 && Bj == 0){
//Myself
for( i=0; i<chunk1; i++ ) {
for( j=0; j<chunk2; j++ ) {
inner_i = i + Bi * chunk1;
inner_j = j + Bj * chunk2;
D[inner_i * n_nodos + inner_j] = DKloc[i*chunk2+j];
//printf("%.f ", DKloc[i*chunk+j]);
}
//printf("\n");
}
}else{
coordsDist[0] = Bi;
coordsDist[1] = Bj;
MPI_Cart_rank(comm2D, coordsDist, &coordRank);
//MPI_Recv(&num, 1, MPI_FLOAT, coordRank, 0, comm2D, MPI_STATUS_IGNORE);
//printf("coordRank=%d, with coord=[%d,%d] sent=%.f\n", coordRank, coordsDist[0], coordsDist[1], num);
MPI_Recv(DKloc, chunk1*chunk2, MPI_FLOAT, coordRank, 0, comm2D, MPI_STATUS_IGNORE);
for( i=0; i<chunk1; i++ ) {
for( j=0; j<chunk2; j++ ) {
inner_i = i + Bi * chunk1;
inner_j = j + Bj * chunk2;
D[inner_i * n_nodos + inner_j] = DKloc[i*chunk2+j];
}
}
}
}
}
}else{
MPI_Send(DKloc, chunk1*chunk2, MPI_FLOAT, 0, 0, comm2D);
}
if(!rank){
for( i=0; i<n_nodos; i++ ) {
for( j=0; j<n_nodos; j++ ) {
printf("%.f ", D[i*n_nodos+j]);
}
printf("\n");
}
}
free(Dloc);
free(DKloc);
if( ! rank ) {
double fin = MPI_Wtime();
printf("process ended\n");
printf("%d\t%.5f\n",n_nodos, (fin-inicio));
if( A != NULL ) free(A);
if( D != NULL ) free(D);
}
MPI_Finalize();
return 0;
}
|
deprecate.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% DDDD EEEEE PPPP RRRR EEEEE CCCC AAA TTTTT EEEEE %
% D D E P P R R E C A A T E %
% D D EEE PPPPP RRRR EEE C AAAAA T EEE %
% D D E P R R E C A A T E %
% DDDD EEEEE P R R EEEEE CCCC A A T EEEEE %
% %
% %
% MagickCore Deprecated Methods %
% %
% Software Design %
% Cristy %
% October 2002 %
% %
% %
% 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.
*/
#if defined(MAGICKCORE_WINDOWS_SUPPORT)
#define WIN32_LEAN_AND_MEAN
#define VC_EXTRALEAN
#include <windows.h>
#endif
#include "magick/studio.h"
#include "magick/blob.h"
#include "magick/blob-private.h"
#include "magick/cache.h"
#include "magick/cache-view.h"
#include "magick/channel.h"
#include "magick/client.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colormap.h"
#include "magick/colormap-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/composite-private.h"
#include "magick/constitute.h"
#include "magick/deprecate.h"
#include "magick/draw.h"
#include "magick/draw-private.h"
#include "magick/effect.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/fx.h"
#include "magick/geometry.h"
#include "magick/identify.h"
#include "magick/image.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/memory_.h"
#include "magick/magick.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/morphology.h"
#include "magick/paint.h"
#include "magick/pixel.h"
#include "magick/pixel-accessor.h"
#include "magick/pixel-private.h"
#include "magick/property.h"
#include "magick/quantize.h"
#include "magick/random_.h"
#include "magick/resource_.h"
#include "magick/semaphore.h"
#include "magick/semaphore-private.h"
#include "magick/segment.h"
#include "magick/splay-tree.h"
#include "magick/statistic.h"
#include "magick/string_.h"
#include "magick/threshold.h"
#include "magick/thread_.h"
#include "magick/thread-private.h"
#include "magick/token.h"
#include "magick/transform.h"
#include "magick/utility.h"
#if !defined(MAGICKCORE_EXCLUDE_DEPRECATED)
/*
Global declarations.
*/
static MonitorHandler
monitor_handler = (MonitorHandler) NULL;
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e C a c h e V i e w I n d e x e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireCacheViewIndexes() returns the indexes associated with the specified
% view.
%
% Deprecated, replace with:
%
% GetCacheViewVirtualIndexQueue(cache_view);
%
% The format of the AcquireCacheViewIndexes method is:
%
% const IndexPacket *AcquireCacheViewIndexes(const CacheView *cache_view)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
*/
MagickExport const IndexPacket *AcquireCacheViewIndexes(
const CacheView *cache_view)
{
return(GetCacheViewVirtualIndexQueue(cache_view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e C a c h e V i e w P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireCacheViewPixels() gets pixels from the in-memory or disk pixel cache
% as defined by the geometry parameters. A pointer to the pixels is returned
% if the pixels are transferred, otherwise a NULL is returned.
%
% Deprecated, replace with:
%
% GetCacheViewVirtualPixels(cache_view,x,y,columns,rows,exception);
%
% The format of the AcquireCacheViewPixels method is:
%
% const PixelPacket *AcquireCacheViewPixels(const CacheView *cache_view,
% const ssize_t x,const ssize_t y,const size_t columns,
% const size_t rows,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport const PixelPacket *AcquireCacheViewPixels(
const CacheView *cache_view,const ssize_t x,const ssize_t y,
const size_t columns,const size_t rows,ExceptionInfo *exception)
{
return(GetCacheViewVirtualPixels(cache_view,x,y,columns,rows,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireImagePixels() returns an immutable pixel region. If the
% region is successfully accessed, a pointer to it is returned, otherwise
% NULL is returned. The returned pointer may point to a temporary working
% copy of the pixels or it may point to the original pixels in memory.
% Performance is maximized if the selected region is part of one row, or one
% or more full rows, since there is opportunity to access the pixels in-place
% (without a copy) if the image is in RAM, or in a memory-mapped file. The
% returned pointer should *never* be deallocated by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% PixelPacket. If the image type is CMYK or the storage class is PseudoClass,
% call GetAuthenticIndexQueue() after invoking GetAuthenticPixels() to access
% the black color component or to obtain the colormap indexes (of type
% IndexPacket) corresponding to the region.
%
% If you plan to modify the pixels, use GetAuthenticPixels() instead.
%
% Note, the AcquireImagePixels() and GetAuthenticPixels() methods are not
% thread-safe. In a threaded environment, use GetCacheViewVirtualPixels() or
% GetCacheViewAuthenticPixels() instead.
%
% Deprecated, replace with:
%
% GetVirtualPixels(image,x,y,columns,rows,exception);
%
% The format of the AcquireImagePixels() method is:
%
% const PixelPacket *AcquireImagePixels(const Image *image,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport const PixelPacket *AcquireImagePixels(const Image *image,
const ssize_t x,const ssize_t y,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
return(GetVirtualPixels(image,x,y,columns,rows,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e I n d e x e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireIndexes() returns the black channel or the colormap indexes
% associated with the last call to QueueAuthenticPixels() or
% GetVirtualPixels(). NULL is returned if the black channel or colormap
% indexes are not available.
%
% Deprecated, replace with:
%
% GetVirtualIndexQueue(image);
%
% The format of the AcquireIndexes() method is:
%
% const IndexPacket *AcquireIndexes(const Image *image)
%
% A description of each parameter follows:
%
% o indexes: AcquireIndexes() returns the indexes associated with the last
% call to QueueAuthenticPixels() or GetVirtualPixels().
%
% o image: the image.
%
*/
MagickExport const IndexPacket *AcquireIndexes(const Image *image)
{
return(GetVirtualIndexQueue(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e M e m o r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireMemory() returns a pointer to a block of memory at least size bytes
% suitably aligned for any use.
%
% The format of the AcquireMemory method is:
%
% void *AcquireMemory(const size_t size)
%
% A description of each parameter follows:
%
% o size: the size of the memory in bytes to allocate.
%
*/
MagickExport void *AcquireMemory(const size_t size)
{
void
*allocation;
assert(size != 0);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
allocation=malloc(size);
return(allocation);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e O n e C a c h e V i e w P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireOneCacheViewPixel() returns a single pixel at the specified (x,y)
% location. The image background color is returned if an error occurs. If
% you plan to modify the pixel, use GetOneCacheViewAuthenticPixel() instead.
%
% Deprecated, replace with:
%
% GetOneCacheViewVirtualPixel(cache_view,x,y,pixel,exception);
%
% The format of the AcquireOneCacheViewPixel method is:
%
% MagickBooleanType AcquireOneCacheViewPixel(const CacheView *cache_view,
% const ssize_t x,const ssize_t y,PixelPacket *pixel,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
% o x,y: These values define the offset of the pixel.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType AcquireOneCacheViewPixel(
const CacheView *cache_view,const ssize_t x,const ssize_t y,
PixelPacket *pixel,ExceptionInfo *exception)
{
return(GetOneCacheViewVirtualPixel(cache_view,x,y,pixel,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e O n e C a c h e V i e w V i r t u a l P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireOneCacheViewVirtualPixel() returns a single pixel at the specified
% (x,y) location. The image background color is returned if an error occurs.
% If you plan to modify the pixel, use GetOneCacheViewAuthenticPixel() instead.
%
% Deprecated, replace with:
%
% GetOneCacheViewVirtualMethodPixel(cache_view,virtual_pixel_method,
% x,y,pixel,exception);
%
% The format of the AcquireOneCacheViewPixel method is:
%
% MagickBooleanType AcquireOneCacheViewVirtualPixel(
% const CacheView *cache_view,
% const VirtualPixelMethod virtual_pixel_method,const ssize_t x,
% const ssize_t y,PixelPacket *pixel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
% o virtual_pixel_method: the virtual pixel method.
%
% o x,y: These values define the offset of the pixel.
%
% o pixel: return a pixel at the specified (x,y) location.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType AcquireOneCacheViewVirtualPixel(
const CacheView *cache_view,const VirtualPixelMethod virtual_pixel_method,
const ssize_t x,const ssize_t y,PixelPacket *pixel,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetOneCacheViewVirtualMethodPixel(cache_view,virtual_pixel_method,
x,y,pixel,exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e O n e M a g i c k P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireOneMagickPixel() returns a single pixel at the specified (x,y)
% location. The image background color is returned if an error occurs. If
% you plan to modify the pixel, use GetOnePixel() instead.
%
% Deprecated, replace with:
%
% MagickPixelPacket pixel;
% GetOneVirtualMagickPixel(image,x,y,&pixel,exception);
%
% The format of the AcquireOneMagickPixel() method is:
%
% MagickPixelPacket AcquireOneMagickPixel(const Image image,const ssize_t x,
% const ssize_t y,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickPixelPacket AcquireOneMagickPixel(const Image *image,
const ssize_t x,const ssize_t y,ExceptionInfo *exception)
{
MagickPixelPacket
pixel;
(void) GetOneVirtualMagickPixel(image,x,y,&pixel,exception);
return(pixel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e O n e P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireOnePixel() returns a single pixel at the specified (x,y) location.
% The image background color is returned if an error occurs. If you plan to
% modify the pixel, use GetOnePixel() instead.
%
% Deprecated, replace with:
%
% PixelPacket pixel;
% GetOneVirtualPixel(image,x,y,&pixel,exception);
%
% The format of the AcquireOnePixel() method is:
%
% PixelPacket AcquireOnePixel(const Image image,const ssize_t x,
% const ssize_t y,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport PixelPacket AcquireOnePixel(const Image *image,const ssize_t x,
const ssize_t y,ExceptionInfo *exception)
{
PixelPacket
pixel;
(void) GetOneVirtualPixel(image,x,y,&pixel,exception);
return(pixel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e O n e V i r t u a l P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireOneVirtualPixel() returns a single pixel at the specified (x,y)
% location as defined by specified pixel method. The image background color
% is returned if an error occurs. If you plan to modify the pixel, use
% GetOnePixel() instead.
%
% Deprecated, replace with:
%
% PixelPacket pixel;
% GetOneVirtualMethodPixel(image,virtual_pixel_method,x,y,&pixel,exception);
%
% The format of the AcquireOneVirtualPixel() method is:
%
% PixelPacket AcquireOneVirtualPixel(const Image image,
% const VirtualPixelMethod virtual_pixel_method,const ssize_t x,
% const ssize_t y,ExceptionInfo exception)
%
% A description of each parameter follows:
%
% o virtual_pixel_method: the virtual pixel method.
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport PixelPacket AcquireOneVirtualPixel(const Image *image,
const VirtualPixelMethod virtual_pixel_method,const ssize_t x,const ssize_t y,
ExceptionInfo *exception)
{
PixelPacket
pixel;
(void) GetOneVirtualMethodPixel(image,virtual_pixel_method,x,y,&pixel,
exception);
return(pixel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquirePixels() returns the pixels associated with the last call to
% QueueAuthenticPixels() or GetVirtualPixels().
%
% Deprecated, replace with:
%
% GetVirtualPixelQueue(image);
%
% The format of the AcquirePixels() method is:
%
% const PixelPacket *AcquirePixels(const Image image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport const PixelPacket *AcquirePixels(const Image *image)
{
return(GetVirtualPixelQueue(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e S e m a p h o r e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireSemaphoreInfo() acquires a semaphore.
%
% The format of the AcquireSemaphoreInfo method is:
%
% void AcquireSemaphoreInfo(SemaphoreInfo **semaphore_info)
%
% A description of each parameter follows:
%
% o semaphore_info: Specifies a pointer to an SemaphoreInfo structure.
%
*/
MagickExport void AcquireSemaphoreInfo(SemaphoreInfo **semaphore_info)
{
assert(semaphore_info != (SemaphoreInfo **) NULL);
if (*semaphore_info == (SemaphoreInfo *) NULL)
{
InitializeMagickMutex();
LockMagickMutex();
if (*semaphore_info == (SemaphoreInfo *) NULL)
*semaphore_info=AllocateSemaphoreInfo();
UnlockMagickMutex();
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A f f i n i t y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AffinityImage() replaces the colors of an image with the closest color from
% a reference image.
%
% Deprecated, replace with:
%
% RemapImage(quantize_info,image,affinity_image);
%
% The format of the AffinityImage method is:
%
% MagickBooleanType AffinityImage(const QuantizeInfo *quantize_info,
% Image *image,const Image *affinity_image)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o image: the image.
%
% o affinity_image: the reference image.
%
*/
MagickExport MagickBooleanType AffinityImage(const QuantizeInfo *quantize_info,
Image *image,const Image *affinity_image)
{
return(RemapImage(quantize_info,image,affinity_image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A f f i n i t y I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AffinityImages() replaces the colors of a sequence of images with the
% closest color from a reference image.
%
% Deprecated, replace with:
%
% RemapImages(quantize_info,images,affinity_image);
%
% The format of the AffinityImage method is:
%
% MagickBooleanType AffinityImages(const QuantizeInfo *quantize_info,
% Image *images,Image *affinity_image)
%
% A description of each parameter follows:
%
% o quantize_info: Specifies a pointer to an QuantizeInfo structure.
%
% o images: the image sequence.
%
% o affinity_image: the reference image.
%
*/
MagickExport MagickBooleanType AffinityImages(const QuantizeInfo *quantize_info,
Image *images,const Image *affinity_image)
{
return(RemapImages(quantize_info,images,affinity_image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A l l o c a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AllocateImage() returns a pointer to an image structure initialized to
% default values.
%
% Deprecated, replace with:
%
% AcquireImage(image_info);
%
% The format of the AllocateImage method is:
%
% Image *AllocateImage(const ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: Many of the image default values are set from this
% structure. For example, filename, compression, depth, background color,
% and others.
%
*/
MagickExport Image *AllocateImage(const ImageInfo *image_info)
{
return(AcquireImage(image_info));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A l l o c a t e I m a g e C o l o r m a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AllocateImageColormap() allocates an image colormap and initializes
% it to a linear gray colorspace. If the image already has a colormap,
% it is replaced. AllocateImageColormap() returns MagickTrue if successful,
% otherwise MagickFalse if there is not enough memory.
%
% Deprecated, replace with:
%
% AcquireImageColormap(image,colors);
%
% The format of the AllocateImageColormap method is:
%
% MagickBooleanType AllocateImageColormap(Image *image,
% const size_t colors)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o colors: the number of colors in the image colormap.
%
*/
MagickExport MagickBooleanType AllocateImageColormap(Image *image,
const size_t colors)
{
return(AcquireImageColormap(image,colors));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A l l o c a t e N e x t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AllocateNextImage() initializes the next image in a sequence to
% default values. The next member of image points to the newly allocated
% image. If there is a memory shortage, next is assigned NULL.
%
% Deprecated, replace with:
%
% AcquireNextImage(image_info,image);
%
% The format of the AllocateNextImage method is:
%
% void AllocateNextImage(const ImageInfo *image_info,Image *image)
%
% A description of each parameter follows:
%
% o image_info: Many of the image default values are set from this
% structure. For example, filename, compression, depth, background color,
% and others.
%
% o image: the image.
%
*/
MagickExport void AllocateNextImage(const ImageInfo *image_info,Image *image)
{
AcquireNextImage(image_info,image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A l l o c a t e S t r i n g %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AllocateString() allocates memory for a string and copies the source string
% to that memory location (and returns it).
%
% The format of the AllocateString method is:
%
% char *AllocateString(const char *source)
%
% A description of each parameter follows:
%
% o source: A character string.
%
*/
MagickExport char *AllocateString(const char *source)
{
char
*destination;
size_t
length;
assert(source != (const char *) NULL);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
length=strlen(source)+MaxTextExtent+1;
destination=(char *) AcquireQuantumMemory(length,sizeof(*destination));
if (destination == (char *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
*destination='\0';
(void) CopyMagickString(destination,source,length);
return(destination);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A v e r a g e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AverageImages() takes a set of images and averages them together. Each
% image in the set must have the same width and height. AverageImages()
% returns a single image with each corresponding pixel component of each
% image averaged. On failure, a NULL image is returned and exception
% describes the reason for the failure.
%
% Deprecated, replace with:
%
% EvaluateImages(images,MeanEvaluateOperator,exception);
%
% The format of the AverageImages method is:
%
% Image *AverageImages(Image *images,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image sequence.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AverageImages(const Image *images,ExceptionInfo *exception)
{
return(EvaluateImages(images,MeanEvaluateOperator,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h a n n e l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Extract a channel from the image. A channel is a particular color component
% of each pixel in the image.
%
% Deprecated, replace with:
%
% SeparateImageChannel(image,channel);
%
% The format of the ChannelImage method is:
%
% unsigned int ChannelImage(Image *image,const ChannelType channel)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: Identify which channel to extract: RedChannel, GreenChannel,
% BlueChannel, OpacityChannel, CyanChannel, MagentaChannel, YellowChannel,
% or BlackChannel.
%
*/
MagickExport unsigned int ChannelImage(Image *image,const ChannelType channel)
{
return(SeparateImageChannel(image,channel));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h a n n e l T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ChannelThresholdImage() changes the value of individual pixels based on
% the intensity of each pixel channel. The result is a high-contrast image.
%
% The format of the ChannelThresholdImage method is:
%
% unsigned int ChannelThresholdImage(Image *image,const char *level)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o level: define the threshold values.
%
*/
MagickExport unsigned int ChannelThresholdImage(Image *image,const char *level)
{
MagickPixelPacket
threshold;
GeometryInfo
geometry_info;
unsigned int
flags,
status;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
if (level == (char *) NULL)
return(MagickFalse);
flags=ParseGeometry(level,&geometry_info);
threshold.red=geometry_info.rho;
threshold.green=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
threshold.green=threshold.red;
threshold.blue=geometry_info.xi;
if ((flags & XiValue) == 0)
threshold.blue=threshold.red;
status=BilevelImageChannel(image,RedChannel,threshold.red);
status&=BilevelImageChannel(image,GreenChannel,threshold.green);
status&=BilevelImageChannel(image,BlueChannel,threshold.blue);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l i p I m a g e P a t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClipPathImage() sets the image clip mask based any clipping path information
% if it exists.
%
% Deprecated, replace with:
%
% ClipImagePath(image,pathname,inside);
%
% The format of the ClipImage method is:
%
% MagickBooleanType ClipPathImage(Image *image,const char *pathname,
% const MagickBooleanType inside)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o pathname: name of clipping path resource. If name is preceded by #, use
% clipping path numbered by name.
%
% o inside: if non-zero, later operations take effect inside clipping path.
% Otherwise later operations take effect outside clipping path.
%
*/
MagickExport MagickBooleanType ClipPathImage(Image *image,const char *pathname,
const MagickBooleanType inside)
{
return(ClipImagePath(image,pathname,inside));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e I m a g e A t t r i b u t e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneImageAttributes() clones one or more image attributes.
%
% Deprecated, replace with:
%
% CloneImageProperties(image,clone_image);
%
% The format of the CloneImageAttributes method is:
%
% MagickBooleanType CloneImageAttributes(Image *image,
% const Image *clone_image)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o clone_image: the clone image.
%
*/
MagickExport MagickBooleanType CloneImageAttributes(Image *image,
const Image *clone_image)
{
return(CloneImageProperties(image,clone_image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e M e m o r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneMemory() copies size bytes from memory area source to the destination.
% Copying between objects that overlap will take place correctly. It returns
% destination.
%
% The format of the CloneMemory method is:
%
% void *CloneMemory(void *destination,const void *source,
% const size_t size)
%
% A description of each parameter follows:
%
% o destination: the destination.
%
% o source: the source.
%
% o size: the size of the memory in bytes to allocate.
%
*/
MagickExport void *CloneMemory(void *destination,const void *source,
const size_t size)
{
register const unsigned char
*p;
register unsigned char
*q;
register ssize_t
i;
assert(destination != (void *) NULL);
assert(source != (const void *) NULL);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
p=(const unsigned char *) source;
q=(unsigned char *) destination;
if ((p <= q) || ((p+size) >= q))
return(memcpy(destination,source,size));
/*
Overlap, copy backwards.
*/
p+=size;
q+=size;
for (i=(ssize_t) (size-1); i >= 0; i--)
*--q=(*--p);
return(destination);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o s e C a c h e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloseCacheView() closes the specified view returned by a previous call to
% OpenCacheView().
%
% Deprecated, replace with:
%
% DestroyCacheView(view_info);
%
% The format of the CloseCacheView method is:
%
% CacheView *CloseCacheView(CacheView *view_info)
%
% A description of each parameter follows:
%
% o view_info: the address of a structure of type CacheView.
%
*/
MagickExport CacheView *CloseCacheView(CacheView *view_info)
{
return(DestroyCacheView(view_info));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o l o r F l o o d f i l l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ColorFloodfill() changes the color value of any pixel that matches
% target and is an immediate neighbor. If the method FillToBorderMethod is
% specified, the color value is changed for any neighbor pixel that does not
% match the bordercolor member of image.
%
% By default target must match a particular pixel color exactly.
% However, in many cases two colors may differ by a small amount. The
% fuzz member of image defines how much tolerance is acceptable to
% consider two colors as the same. For example, set fuzz to 10 and the
% color red at intensities of 100 and 102 respectively are now
% interpreted as the same color for the purposes of the floodfill.
%
% The format of the ColorFloodfillImage method is:
%
% MagickBooleanType ColorFloodfillImage(Image *image,
% const DrawInfo *draw_info,const PixelPacket target,
% const ssize_t x_offset,const ssize_t y_offset,const PaintMethod method)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o draw_info: the draw info.
%
% o target: the RGB value of the target color.
%
% o x,y: the starting location of the operation.
%
% o method: Choose either FloodfillMethod or FillToBorderMethod.
%
*/
#define MaxStacksize (1UL << 15)
#define PushSegmentStack(up,left,right,delta) \
{ \
if (s >= (segment_stack+MaxStacksize)) \
ThrowBinaryImageException(DrawError,"SegmentStackOverflow",image->filename) \
else \
{ \
if ((((up)+(delta)) >= 0) && (((up)+(delta)) < (ssize_t) image->rows)) \
{ \
s->x1=(double) (left); \
s->y1=(double) (up); \
s->x2=(double) (right); \
s->y2=(double) (delta); \
s++; \
} \
} \
}
MagickExport MagickBooleanType ColorFloodfillImage(Image *image,
const DrawInfo *draw_info,const PixelPacket target,const ssize_t x_offset,
const ssize_t y_offset,const PaintMethod method)
{
Image
*floodplane_image;
MagickBooleanType
skip;
PixelPacket
fill_color;
register SegmentInfo
*s;
SegmentInfo
*segment_stack;
ssize_t
offset,
start,
x,
x1,
x2,
y;
/*
Check boundary conditions.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(draw_info != (DrawInfo *) NULL);
assert(draw_info->signature == MagickCoreSignature);
if ((x_offset < 0) || (x_offset >= (ssize_t) image->columns))
return(MagickFalse);
if ((y_offset < 0) || (y_offset >= (ssize_t) image->rows))
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
floodplane_image=CloneImage(image,0,0,MagickTrue,&image->exception);
if (floodplane_image == (Image *) NULL)
return(MagickFalse);
(void) SetImageAlphaChannel(floodplane_image,OpaqueAlphaChannel);
/*
Set floodfill color.
*/
segment_stack=(SegmentInfo *) AcquireQuantumMemory(MaxStacksize,
sizeof(*segment_stack));
if (segment_stack == (SegmentInfo *) NULL)
{
floodplane_image=DestroyImage(floodplane_image);
ThrowBinaryImageException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
/*
Push initial segment on stack.
*/
x=x_offset;
y=y_offset;
start=0;
s=segment_stack;
PushSegmentStack(y,x,x,1);
PushSegmentStack(y+1,x,x,-1);
while (s > segment_stack)
{
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
/*
Pop segment off stack.
*/
s--;
x1=(ssize_t) s->x1;
x2=(ssize_t) s->x2;
offset=(ssize_t) s->y2;
y=(ssize_t) s->y1+offset;
/*
Recolor neighboring pixels.
*/
p=GetVirtualPixels(image,0,y,(size_t) (x1+1),1,&image->exception);
q=GetAuthenticPixels(floodplane_image,0,y,(size_t) (x1+1),1,
&image->exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
p+=x1;
q+=x1;
for (x=x1; x >= 0; x--)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
if (method == FloodfillMethod)
{
if (IsColorSimilar(image,p,&target) == MagickFalse)
break;
}
else
if (IsColorSimilar(image,p,&target) != MagickFalse)
break;
q->opacity=(Quantum) TransparentOpacity;
p--;
q--;
}
if (SyncAuthenticPixels(floodplane_image,&image->exception) == MagickFalse)
break;
skip=x >= x1 ? MagickTrue : MagickFalse;
if (skip == MagickFalse)
{
start=x+1;
if (start < x1)
PushSegmentStack(y,start,x1-1,-offset);
x=x1+1;
}
do
{
if (skip == MagickFalse)
{
if (x < (ssize_t) image->columns)
{
p=GetVirtualPixels(image,x,y,image->columns-x,1,
&image->exception);
q=GetAuthenticPixels(floodplane_image,x,y,image->columns-x,1,
&image->exception);
if ((p == (const PixelPacket *) NULL) ||
(q == (PixelPacket *) NULL))
break;
for ( ; x < (ssize_t) image->columns; x++)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
if (method == FloodfillMethod)
{
if (IsColorSimilar(image,p,&target) == MagickFalse)
break;
}
else
if (IsColorSimilar(image,p,&target) != MagickFalse)
break;
q->opacity=(Quantum) TransparentOpacity;
p++;
q++;
}
if (SyncAuthenticPixels(floodplane_image,&image->exception) == MagickFalse)
break;
}
PushSegmentStack(y,start,x-1,offset);
if (x > (x2+1))
PushSegmentStack(y,x2+1,x-1,-offset);
}
skip=MagickFalse;
x++;
if (x <= x2)
{
p=GetVirtualPixels(image,x,y,(size_t) (x2-x+1),1,
&image->exception);
q=GetAuthenticPixels(floodplane_image,x,y,(size_t) (x2-x+1),1,
&image->exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
for ( ; x <= x2; x++)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
if (method == FloodfillMethod)
{
if (IsColorSimilar(image,p,&target) != MagickFalse)
break;
}
else
if (IsColorSimilar(image,p,&target) == MagickFalse)
break;
p++;
q++;
}
}
start=x;
} while (x <= x2);
}
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
/*
Tile fill color onto floodplane.
*/
p=GetVirtualPixels(floodplane_image,0,y,image->columns,1,
&image->exception);
q=GetAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelOpacity(p) != OpaqueOpacity)
{
(void) GetFillColor(draw_info,x,y,&fill_color);
MagickCompositeOver(&fill_color,(MagickRealType) fill_color.opacity,q,
(MagickRealType) q->opacity,q);
}
p++;
q++;
}
if (SyncAuthenticPixels(image,&image->exception) == MagickFalse)
break;
}
segment_stack=(SegmentInfo *) RelinquishMagickMemory(segment_stack);
floodplane_image=DestroyImage(floodplane_image);
return(y == (ssize_t) image->rows ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C o n s t i t u t e C o m p o n e n t G e n e s i s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConstituteComponentGenesis() instantiates the constitute component.
%
% The format of the ConstituteComponentGenesis method is:
%
% MagickBooleanType ConstituteComponentGenesis(void)
%
*/
MagickExport MagickBooleanType ConstituteComponentGenesis(void)
{
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C o n s t i t u t e C o m p o n e n t T e r m i n u s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConstituteComponentTerminus() destroys the constitute component.
%
% The format of the ConstituteComponentTerminus method is:
%
% ConstituteComponentTerminus(void)
%
*/
MagickExport void ConstituteComponentTerminus(void)
{
}
#if defined(MAGICKCORE_WINDOWS_SUPPORT)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C r o p I m a g e T o H B i t m a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CropImageToHBITMAP() extracts a specified region of the image and returns
% it as a Windows HBITMAP. While the same functionality can be accomplished by
% invoking CropImage() followed by ImageToHBITMAP(), this method is more
% efficient since it copies pixels directly to the HBITMAP.
%
% The format of the CropImageToHBITMAP method is:
%
% HBITMAP CropImageToHBITMAP(Image* image,const RectangleInfo *geometry,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o geometry: Define the region of the image to crop with members
% x, y, width, and height.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport void *CropImageToHBITMAP(Image *image,
const RectangleInfo *geometry,ExceptionInfo *exception)
{
#define CropImageTag "Crop/Image"
BITMAP
bitmap;
HBITMAP
bitmapH;
HANDLE
bitmap_bitsH;
MagickBooleanType
proceed;
RectangleInfo
page;
register const PixelPacket
*p;
register RGBQUAD
*q;
RGBQUAD
*bitmap_bits;
ssize_t
y;
/*
Check crop geometry.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(geometry != (const RectangleInfo *) NULL);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (((geometry->x+(ssize_t) geometry->width) < 0) ||
((geometry->y+(ssize_t) geometry->height) < 0) ||
(geometry->x >= (ssize_t) image->columns) ||
(geometry->y >= (ssize_t) image->rows))
ThrowImageException(OptionError,"GeometryDoesNotContainImage");
page=(*geometry);
if ((page.x+(ssize_t) page.width) > (ssize_t) image->columns)
page.width=image->columns-page.x;
if ((page.y+(ssize_t) page.height) > (ssize_t) image->rows)
page.height=image->rows-page.y;
if (page.x < 0)
{
page.width+=page.x;
page.x=0;
}
if (page.y < 0)
{
page.height+=page.y;
page.y=0;
}
if ((page.width == 0) || (page.height == 0))
ThrowImageException(OptionError,"GeometryDimensionsAreZero");
/*
Initialize crop image attributes.
*/
bitmap.bmType = 0;
bitmap.bmWidth = (LONG) page.width;
bitmap.bmHeight = (LONG) page.height;
bitmap.bmWidthBytes = bitmap.bmWidth * 4;
bitmap.bmPlanes = 1;
bitmap.bmBitsPixel = 32;
bitmap.bmBits = NULL;
bitmap_bitsH=(HANDLE) GlobalAlloc(GMEM_MOVEABLE | GMEM_DDESHARE,page.width*
page.height*bitmap.bmBitsPixel);
if (bitmap_bitsH == NULL)
return(NULL);
bitmap_bits=(RGBQUAD *) GlobalLock((HGLOBAL) bitmap_bitsH);
if ( bitmap.bmBits == NULL )
bitmap.bmBits = bitmap_bits;
if (IssRGBCompatibleColorspace(image->colorspace) == MagickFalse)
SetImageColorspace(image,sRGBColorspace);
/*
Extract crop image.
*/
q=bitmap_bits;
for (y=0; y < (ssize_t) page.height; y++)
{
register ssize_t
x;
p=GetVirtualPixels(image,page.x,page.y+y,page.width,1,exception);
if (p == (const PixelPacket *) NULL)
break;
/* Transfer pixels, scaling to Quantum */
for( x=(ssize_t) page.width ; x> 0 ; x-- )
{
q->rgbRed = ScaleQuantumToChar(GetPixelRed(p));
q->rgbGreen = ScaleQuantumToChar(GetPixelGreen(p));
q->rgbBlue = ScaleQuantumToChar(GetPixelBlue(p));
q->rgbReserved = 0;
p++;
q++;
}
proceed=SetImageProgress(image,CropImageTag,y,page.height);
if (proceed == MagickFalse)
break;
}
if (y < (ssize_t) page.height)
{
GlobalUnlock((HGLOBAL) bitmap_bitsH);
GlobalFree((HGLOBAL) bitmap_bitsH);
return((void *) NULL);
}
bitmap.bmBits=bitmap_bits;
bitmapH=CreateBitmapIndirect(&bitmap);
GlobalUnlock((HGLOBAL) bitmap_bitsH);
GlobalFree((HGLOBAL) bitmap_bitsH);
return((void *) bitmapH);
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e l e t e I m a g e A t t r i b u t e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DeleteImageAttribute() deletes an attribute from the image.
%
% Deprecated, replace with:
%
% DeleteImageProperty(image,key);
%
% The format of the DeleteImageAttribute method is:
%
% MagickBooleanType DeleteImageAttribute(Image *image,const char *key)
%
% A description of each parameter follows:
%
% o image: the image info.
%
% o key: the image key.
%
*/
MagickExport MagickBooleanType DeleteImageAttribute(Image *image,
const char *key)
{
return(DeleteImageProperty(image,key));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e l e t e I m a g e L i s t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DeleteImageList() deletes an image at the specified position in the list.
%
% The format of the DeleteImageList method is:
%
% unsigned int DeleteImageList(Image *images,const ssize_t offset)
%
% A description of each parameter follows:
%
% o images: the image list.
%
% o offset: the position within the list.
%
*/
MagickExport unsigned int DeleteImageList(Image *images,const ssize_t offset)
{
register ssize_t
i;
if (images->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
while (GetPreviousImageInList(images) != (Image *) NULL)
images=GetPreviousImageInList(images);
for (i=0; i < offset; i++)
{
if (GetNextImageInList(images) == (Image *) NULL)
return(MagickFalse);
images=GetNextImageInList(images);
}
DeleteImageFromList(&images);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e l e t e M a g i c k R e g i s t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DeleteMagickRegistry() deletes an entry in the registry as defined by the id.
% It returns MagickTrue if the entry is deleted otherwise MagickFalse if no
% entry is found in the registry that matches the id.
%
% Deprecated, replace with:
%
% char key[MaxTextExtent];
% FormatLocaleString(key,MaxTextExtent,"%ld\n",id);
% DeleteImageRegistry(key);
%
% The format of the DeleteMagickRegistry method is:
%
% MagickBooleanType DeleteMagickRegistry(const ssize_t id)
%
% A description of each parameter follows:
%
% o id: the registry id.
%
*/
MagickExport MagickBooleanType DeleteMagickRegistry(const ssize_t id)
{
char
key[MaxTextExtent];
(void) FormatLocaleString(key,MaxTextExtent,"%.20g\n",(double) id);
return(DeleteImageRegistry(key));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y C o n s t i t u t e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyConstitute() destroys the constitute component.
%
% The format of the DestroyConstitute method is:
%
% DestroyConstitute(void)
%
*/
MagickExport void DestroyConstitute(void)
{
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D e s t r o y M a g i c k R e g i s t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyMagickRegistry() deallocates memory associated the magick registry.
%
% Deprecated, replace with:
%
% RegistryComponentTerminus();
%
% The format of the DestroyMagickRegistry method is:
%
% void DestroyMagickRegistry(void)
%
*/
MagickExport void DestroyMagickRegistry(void)
{
RegistryComponentTerminus();
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s c r i b e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DescribeImage() describes an image by printing its attributes to the file.
% Attributes include the image width, height, size, and others.
%
% Deprecated, replace with:
%
% IdentifyImage(image,file,verbose);
%
% The format of the DescribeImage method is:
%
% MagickBooleanType DescribeImage(Image *image,FILE *file,
% const MagickBooleanType verbose)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o file: the file, typically stdout.
%
% o verbose: A value other than zero prints more detailed information
% about the image.
%
*/
MagickExport MagickBooleanType DescribeImage(Image *image,FILE *file,
const MagickBooleanType verbose)
{
return(IdentifyImage(image,file,verbose));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e A t t r i b u t e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImageAttributes() deallocates memory associated with the image
% attribute list.
%
% The format of the DestroyImageAttributes method is:
%
% DestroyImageAttributes(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void DestroyImageAttributes(Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->attributes != (void *) NULL)
image->attributes=(void *) DestroySplayTree((SplayTreeInfo *)
image->attributes);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImages() destroys an image list.
%
% Deprecated, replace with:
%
% DestroyImageList(image);
%
% The format of the DestroyImages method is:
%
% void DestroyImages(Image *image)
%
% A description of each parameter follows:
%
% o image: the image sequence.
%
*/
MagickExport void DestroyImages(Image *image)
{
if (image == (Image *) NULL)
return;
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.4.3");
image=DestroyImageList(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y M a g i c k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyMagick() destroys the ImageMagick environment.
%
% Deprecated, replace with:
%
% MagickCoreTerminus();
%
% The format of the DestroyMagick function is:
%
% DestroyMagick(void)
%
*/
MagickExport void DestroyMagick(void)
{
MagickCoreTerminus();
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D i s p a t c h I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DispatchImage() extracts pixel data from an image and returns it to you.
% The method returns MagickFalse on success otherwise MagickTrue if an error is
% encountered. The data is returned as char, short int, int, ssize_t, float,
% or double in the order specified by map.
%
% Suppose you want to extract the first scanline of a 640x480 image as
% character data in red-green-blue order:
%
% DispatchImage(image,0,0,640,1,"RGB",CharPixel,pixels,exception);
%
% Deprecated, replace with:
%
% ExportImagePixels(image,x_offset,y_offset,columns,rows,map,type,pixels,
% exception);
%
% The format of the DispatchImage method is:
%
% unsigned int DispatchImage(const Image *image,const ssize_t x_offset,
% const ssize_t y_offset,const size_t columns,
% const size_t rows,const char *map,const StorageType type,
% void *pixels,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x_offset, y_offset, columns, rows: These values define the perimeter
% of a region of pixels you want to extract.
%
% o map: This string reflects the expected ordering of the pixel array.
% It can be any combination or order of R = red, G = green, B = blue,
% A = alpha, C = cyan, Y = yellow, M = magenta, K = black, or
% I = intensity (for grayscale).
%
% o type: Define the data type of the pixels. Float and double types are
% normalized to [0..1] otherwise [0..QuantumRange]. Choose from these
% types: CharPixel, ShortPixel, IntegerPixel, LongPixel, FloatPixel, or
% DoublePixel.
%
% o pixels: This array of values contain the pixel components as defined by
% map and type. You must preallocate this array where the expected
% length varies depending on the values of width, height, map, and type.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport unsigned int DispatchImage(const Image *image,const ssize_t x_offset,
const ssize_t y_offset,const size_t columns,const size_t rows,
const char *map,const StorageType type,void *pixels,ExceptionInfo *exception)
{
unsigned int
status;
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.6");
status=ExportImagePixels(image,x_offset,y_offset,columns,rows,map,type,pixels,
exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E x t r a c t S u b i m a g e F r o m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ExtractSubimageFromImageImage() extracts a region of the image that most
% closely resembles the reference.
%
% The format of the ExtractSubimageFromImageImage method is:
%
% Image *ExtractSubimageFromImage(const Image *image,
% const Image *reference,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reference: find an area of the image that closely resembles this image.
%
% o exception: return any errors or warnings in this structure.
%
*/
static double GetSimilarityMetric(const Image *image,const Image *reference,
const ssize_t x_offset,const ssize_t y_offset,
const double similarity_threshold,ExceptionInfo *exception)
{
CacheView
*image_view,
*reference_view;
double
channels,
normalized_similarity,
similarity;
ssize_t
y;
/*
Compute the similarity in pixels between two images.
*/
normalized_similarity=1.0;
similarity=0.0;
channels=3;
if ((image->matte != MagickFalse) && (reference->matte != MagickFalse))
channels++;
if ((image->colorspace == CMYKColorspace) &&
(reference->colorspace == CMYKColorspace))
channels++;
image_view=AcquireVirtualCacheView(image,exception);
reference_view=AcquireVirtualCacheView(reference,exception);
for (y=0; y < (ssize_t) reference->rows; y++)
{
register const IndexPacket
*indexes,
*reference_indexes;
register const PixelPacket
*p,
*q;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,x_offset,y_offset+y,
reference->columns,1,exception);
q=GetCacheViewVirtualPixels(reference_view,0,y,reference->columns,1,
exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
continue;
indexes=GetCacheViewVirtualIndexQueue(image_view);
reference_indexes=GetCacheViewVirtualIndexQueue(reference_view);
for (x=0; x < (ssize_t) reference->columns; x++)
{
MagickRealType
pixel;
pixel=QuantumScale*(GetPixelRed(p)-(double)
GetPixelRed(q));
similarity+=pixel*pixel;
pixel=QuantumScale*(GetPixelGreen(p)-(double)
GetPixelGreen(q));
similarity+=pixel*pixel;
pixel=QuantumScale*(GetPixelBlue(p)-(double)
GetPixelBlue(q));
similarity+=pixel*pixel;
if ((image->matte != MagickFalse) && (reference->matte != MagickFalse))
{
pixel=QuantumScale*(GetPixelOpacity(p)-(double)
GetPixelOpacity(q));
similarity+=pixel*pixel;
}
if ((image->colorspace == CMYKColorspace) &&
(reference->colorspace == CMYKColorspace))
{
pixel=QuantumScale*(GetPixelIndex(indexes+x)-(double)
GetPixelIndex(reference_indexes+x));
similarity+=pixel*pixel;
}
p++;
q++;
}
normalized_similarity=sqrt(similarity)/reference->columns/reference->rows/
channels;
if (normalized_similarity > similarity_threshold)
break;
}
reference_view=DestroyCacheView(reference_view);
image_view=DestroyCacheView(image_view);
return(normalized_similarity);
}
MagickExport Image *ExtractSubimageFromImage(Image *image,
const Image *reference,ExceptionInfo *exception)
{
double
similarity_threshold;
RectangleInfo
offset;
ssize_t
y;
/*
Extract reference from image.
*/
if ((reference->columns > image->columns) || (reference->rows > image->rows))
return((Image *) NULL);
similarity_threshold=(double) image->columns*image->rows;
SetGeometry(reference,&offset);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static)
#endif
for (y=0; y < (ssize_t) (image->rows-reference->rows); y++)
{
double
similarity;
register ssize_t
x;
for (x=0; x < (ssize_t) (image->columns-reference->columns); x++)
{
similarity=GetSimilarityMetric(image,reference,x,y,similarity_threshold,
exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ExtractSubimageFromImage)
#endif
if (similarity < similarity_threshold)
{
similarity_threshold=similarity;
offset.x=x;
offset.y=y;
}
}
}
if (similarity_threshold > (QuantumScale*reference->fuzz/100.0))
return((Image *) NULL);
return(CropImage(image,&offset,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F l a t t e n I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FlattenImages() Obsolete Function: Use MergeImageLayers() instead.
%
% Deprecated, replace with:
%
% MergeImageLayers(image,FlattenLayer,exception);
%
% The format of the FlattenImage method is:
%
% Image *FlattenImage(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image sequence.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *FlattenImages(Image *image,ExceptionInfo *exception)
{
return(MergeImageLayers(image,FlattenLayer,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F o r m a t I m a g e A t t r i b u t e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FormatImageAttribute() permits formatted key/value pairs to be saved as an
% image attribute.
%
% The format of the FormatImageAttribute method is:
%
% MagickBooleanType FormatImageAttribute(Image *image,const char *key,
% const char *format,...)
%
% A description of each parameter follows.
%
% o image: The image.
%
% o key: The attribute key.
%
% o format: A string describing the format to use to write the remaining
% arguments.
%
*/
MagickExport MagickBooleanType FormatImageAttributeList(Image *image,
const char *key,const char *format,va_list operands)
{
char
value[MaxTextExtent];
int
n;
#if defined(MAGICKCORE_HAVE_VSNPRINTF)
n=vsnprintf(value,MaxTextExtent,format,operands);
#else
n=vsprintf(value,format,operands);
#endif
if (n < 0)
value[MaxTextExtent-1]='\0';
return(SetImageProperty(image,key,value));
}
MagickExport MagickBooleanType FormatImagePropertyList(Image *image,
const char *property,const char *format,va_list operands)
{
char
value[MaxTextExtent];
int
n;
#if defined(MAGICKCORE_HAVE_VSNPRINTF)
n=vsnprintf(value,MaxTextExtent,format,operands);
#else
n=vsprintf(value,format,operands);
#endif
if (n < 0)
value[MaxTextExtent-1]='\0';
return(SetImageProperty(image,property,value));
}
MagickExport MagickBooleanType FormatImageAttribute(Image *image,
const char *key,const char *format,...)
{
char
value[MaxTextExtent];
int
n;
va_list
operands;
va_start(operands,format);
n=FormatLocaleStringList(value,MaxTextExtent,format,operands);
(void) n;
va_end(operands);
return(SetImageProperty(image,key,value));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F o r m a t M a g i c k S t r i n g %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FormatMagickString() prints formatted output of a variable argument list.
%
% The format of the FormatMagickString method is:
%
% ssize_t FormatMagickString(char *string,const size_t length,
% const char *format,...)
%
% A description of each parameter follows.
%
% o string: FormatMagickString() returns the formatted string in this
% character buffer.
%
% o length: the maximum length of the string.
%
% o format: A string describing the format to use to write the remaining
% arguments.
%
*/
MagickExport ssize_t FormatMagickStringList(char *string,const size_t length,
const char *format,va_list operands)
{
int
n;
#if defined(MAGICKCORE_HAVE_VSNPRINTF)
n=vsnprintf(string,length,format,operands);
#else
n=vsprintf(string,format,operands);
#endif
if (n < 0)
string[length-1]='\0';
return((ssize_t) n);
}
MagickExport ssize_t FormatMagickString(char *string,const size_t length,
const char *format,...)
{
ssize_t
n;
va_list
operands;
va_start(operands,format);
n=(ssize_t) FormatMagickStringList(string,length,format,operands);
va_end(operands);
return(n);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F o r m a t S t r i n g %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FormatString() prints formatted output of a variable argument list.
%
% The format of the FormatString method is:
%
% void FormatString(char *string,const char *format,...)
%
% A description of each parameter follows.
%
% o string: Method FormatString returns the formatted string in this
% character buffer.
%
% o format: A string describing the format to use to write the remaining
% arguments.
%
*/
MagickExport void FormatStringList(char *string,const char *format,
va_list operands)
{
int
n;
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
#if defined(MAGICKCORE_HAVE_VSNPRINTF)
n=vsnprintf(string,MaxTextExtent,format,operands);
#else
n=vsprintf(string,format,operands);
#endif
if (n < 0)
string[MaxTextExtent-1]='\0';
}
MagickExport void FormatString(char *string,const char *format,...)
{
va_list
operands;
va_start(operands,format);
(void) FormatLocaleStringList(string,MaxTextExtent,format,operands);
va_end(operands);
return;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ F u z z y C o l o r M a t c h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FuzzyColorMatch() returns true if two pixels are identical in color.
%
% The format of the ColorMatch method is:
%
% void FuzzyColorMatch(const PixelPacket *p,const PixelPacket *q,
% const double fuzz)
%
% A description of each parameter follows:
%
% o p: Pixel p.
%
% o q: Pixel q.
%
% o distance: Define how much tolerance is acceptable to consider
% two colors as the same.
%
*/
MagickExport unsigned int FuzzyColorMatch(const PixelPacket *p,
const PixelPacket *q,const double fuzz)
{
MagickPixelPacket
pixel;
register MagickRealType
distance;
if ((fuzz == 0.0) && (GetPixelRed(p) == GetPixelRed(q)) &&
(GetPixelGreen(p) == GetPixelGreen(q)) &&
(GetPixelBlue(p) == GetPixelBlue(q)))
return(MagickTrue);
pixel.red=GetPixelRed(p)-(MagickRealType) GetPixelRed(q);
distance=pixel.red*pixel.red;
if (distance > (fuzz*fuzz))
return(MagickFalse);
pixel.green=GetPixelGreen(p)-(MagickRealType)
GetPixelGreen(q);
distance+=pixel.green*pixel.green;
if (distance > (fuzz*fuzz))
return(MagickFalse);
pixel.blue=GetPixelBlue(p)-(MagickRealType) GetPixelBlue(q);
distance+=pixel.blue*pixel.blue;
if (distance > (fuzz*fuzz))
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ F u z z y C o l o r C o m p a r e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FuzzyColorCompare() returns MagickTrue if the distance between two colors is
% less than the specified distance in a linear three dimensional color space.
% This method is used by ColorFloodFill() and other algorithms which
% compare two colors.
%
% The format of the FuzzyColorCompare method is:
%
% void FuzzyColorCompare(const Image *image,const PixelPacket *p,
% const PixelPacket *q)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o p: Pixel p.
%
% o q: Pixel q.
%
*/
MagickExport MagickBooleanType FuzzyColorCompare(const Image *image,
const PixelPacket *p,const PixelPacket *q)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.2.5");
return(IsColorSimilar(image,p,q));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ F u z z y O p a c i t y C o m p a r e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FuzzyOpacityCompare() returns true if the distance between two opacity
% values is less than the specified distance in a linear color space. This
% method is used by MatteFloodFill() and other algorithms which compare
% two opacity values.
%
% Deprecated, replace with:
%
% IsOpacitySimilar(image,p,q);
%
% The format of the FuzzyOpacityCompare method is:
%
% void FuzzyOpacityCompare(const Image *image,const PixelPacket *p,
% const PixelPacket *q)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o p: Pixel p.
%
% o q: Pixel q.
%
*/
MagickExport MagickBooleanType FuzzyOpacityCompare(const Image *image,
const PixelPacket *p,const PixelPacket *q)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.2.5");
return(IsOpacitySimilar(image,p,q));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t C o n f i g u r e B l o b %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetConfigureBlob() returns the specified configure file as a blob.
%
% The format of the GetConfigureBlob method is:
%
% void *GetConfigureBlob(const char *filename,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o filename: the configure file name.
%
% o path: return the full path information of the configure file.
%
% o length: This pointer to a size_t integer sets the initial length of the
% blob. On return, it reflects the actual length of the blob.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport void *GetConfigureBlob(const char *filename,char *path,
size_t *length,ExceptionInfo *exception)
{
void
*blob;
assert(filename != (const char *) NULL);
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",filename);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
assert(path != (char *) NULL);
assert(length != (size_t *) NULL);
assert(exception != (ExceptionInfo *) NULL);
blob=(void *) NULL;
(void) CopyMagickString(path,filename,MaxTextExtent);
#if defined(MAGICKCORE_INSTALLED_SUPPORT)
#if defined(MAGICKCORE_LIBRARY_PATH)
if (blob == (void *) NULL)
{
/*
Search hard coded paths.
*/
(void) FormatLocaleString(path,MaxTextExtent,"%s%s",
MAGICKCORE_LIBRARY_PATH,filename);
if (IsPathAccessible(path) != MagickFalse)
blob=FileToBlob(path,~0UL,length,exception);
}
#endif
#if defined(MAGICKCORE_WINDOWS_SUPPORT) && !(defined(MAGICKCORE_CONFIGURE_PATH) || defined(MAGICKCORE_SHARE_PATH))
if (blob == (void *) NULL)
{
unsigned char
*key_value;
/*
Locate file via registry key.
*/
key_value=NTRegistryKeyLookup("ConfigurePath");
if (key_value != (unsigned char *) NULL)
{
(void) FormatLocaleString(path,MaxTextExtent,"%s%s%s",(char *)
key_value,DirectorySeparator,filename);
if (IsPathAccessible(path) != MagickFalse)
blob=FileToBlob(path,~0UL,length,exception);
}
}
#endif
#else
if (blob == (void *) NULL)
{
char
*home;
home=GetEnvironmentValue("MAGICK_HOME");
if (home != (char *) NULL)
{
/*
Search MAGICK_HOME.
*/
#if !defined(MAGICKCORE_POSIX_SUPPORT)
(void) FormatLocaleString(path,MaxTextExtent,"%s%s%s",home,
DirectorySeparator,filename);
#else
(void) FormatLocaleString(path,MaxTextExtent,"%s/lib/%s/%s",home,
MAGICKCORE_LIBRARY_RELATIVE_PATH,filename);
#endif
if (IsPathAccessible(path) != MagickFalse)
blob=FileToBlob(path,~0UL,length,exception);
home=DestroyString(home);
}
home=GetEnvironmentValue("HOME");
if (home == (char *) NULL)
home=GetEnvironmentValue("USERPROFILE");
if (home != (char *) NULL)
{
/*
Search $HOME/.magick.
*/
(void) FormatLocaleString(path,MaxTextExtent,"%s%s.magick%s%s",home,
DirectorySeparator,DirectorySeparator,filename);
if ((IsPathAccessible(path) != MagickFalse) && (blob == (void *) NULL))
blob=FileToBlob(path,~0UL,length,exception);
home=DestroyString(home);
}
}
if ((blob == (void *) NULL) && (*GetClientPath() != '\0'))
{
#if !defined(MAGICKCORE_POSIX_SUPPORT)
(void) FormatLocaleString(path,MaxTextExtent,"%s%s%s",GetClientPath(),
DirectorySeparator,filename);
#else
char
prefix[MaxTextExtent];
/*
Search based on executable directory if directory is known.
*/
(void) CopyMagickString(prefix,GetClientPath(),
MaxTextExtent);
ChopPathComponents(prefix,1);
(void) FormatLocaleString(path,MaxTextExtent,"%s/lib/%s/%s",prefix,
MAGICKCORE_LIBRARY_RELATIVE_PATH,filename);
#endif
if (IsPathAccessible(path) != MagickFalse)
blob=FileToBlob(path,~0UL,length,exception);
}
/*
Search current directory.
*/
if ((blob == (void *) NULL) && (IsPathAccessible(path) != MagickFalse))
blob=FileToBlob(path,~0UL,length,exception);
#if defined(MAGICKCORE_WINDOWS_SUPPORT)
/*
Search Windows registry.
*/
if (blob == (void *) NULL)
blob=NTResourceToBlob(filename);
#endif
#endif
if (blob == (void *) NULL)
(void) ThrowMagickException(exception,GetMagickModule(),ConfigureWarning,
"UnableToOpenConfigureFile","`%s'",path);
return(blob);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t C a c h e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetCacheView() gets pixels from the in-memory or disk pixel cache as
% defined by the geometry parameters. A pointer to the pixels is returned if
% the pixels are transferred, otherwise a NULL is returned.
%
% Deprecated, replace with:
%
% GetCacheViewAuthenticPixels(cache_view,x,y,columns,rows,
% GetCacheViewException(cache_view));
%
% The format of the GetCacheView method is:
%
% PixelPacket *GetCacheView(CacheView *cache_view,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows)
%
% A description of each parameter follows:
%
% o cache_view: the address of a structure of type CacheView.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
*/
MagickExport PixelPacket *GetCacheView(CacheView *cache_view,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows)
{
PixelPacket
*pixels;
pixels=GetCacheViewAuthenticPixels(cache_view,x,y,columns,rows,
GetCacheViewException(cache_view));
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t C a c h e V i e w I n d e x e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetCacheViewIndexes() returns the indexes associated with the specified
% view.
%
% Deprecated, replace with:
%
% GetCacheViewAuthenticIndexQueue(cache_view);
%
% The format of the GetCacheViewIndexes method is:
%
% IndexPacket *GetCacheViewIndexes(CacheView *cache_view)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
*/
MagickExport IndexPacket *GetCacheViewIndexes(CacheView *cache_view)
{
return(GetCacheViewAuthenticIndexQueue(cache_view));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t C a c h e V i e w P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetCacheViewPixels() gets pixels from the in-memory or disk pixel cache as
% defined by the geometry parameters. A pointer to the pixels is returned if
% the pixels are transferred, otherwise a NULL is returned.
%
% Deprecated, replace with:
%
% GetCacheViewAuthenticPixels(cache_view,x,y,columns,rows,
% GetCacheViewException(cache_view));
%
% The format of the GetCacheViewPixels method is:
%
% PixelPacket *GetCacheViewPixels(CacheView *cache_view,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
*/
MagickExport PixelPacket *GetCacheViewPixels(CacheView *cache_view,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows)
{
PixelPacket
*pixels;
pixels=GetCacheViewAuthenticPixels(cache_view,x,y,columns,rows,
GetCacheViewException(cache_view));
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t E x c e p t i o n I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetExceptionInfo() initializes an exception to default values.
%
% The format of the GetExceptionInfo method is:
%
% GetExceptionInfo(ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o exception: the exception info.
%
*/
MagickExport void GetExceptionInfo(ExceptionInfo *exception)
{
assert(exception != (ExceptionInfo *) NULL);
(void) memset(exception,0,sizeof(*exception));
exception->severity=UndefinedException;
exception->exceptions=(void *) NewLinkedList(0);
exception->semaphore=AllocateSemaphoreInfo();
exception->signature=MagickCoreSignature;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e A t t r i b u t e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageAttribute() searches the list of image attributes and returns
% a pointer to the attribute if it exists otherwise NULL.
%
% The format of the GetImageAttribute method is:
%
% const ImageAttribute *GetImageAttribute(const Image *image,
% const char *key)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o key: These character strings are the name of an image attribute to
% return.
%
*/
static void *DestroyAttribute(void *attribute)
{
register ImageAttribute
*p;
p=(ImageAttribute *) attribute;
if (p->value != (char *) NULL)
p->value=DestroyString(p->value);
return(RelinquishMagickMemory(p));
}
MagickExport const ImageAttribute *GetImageAttribute(const Image *image,
const char *key)
{
const char
*value;
ImageAttribute
*attribute;
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.3.1");
value=GetImageProperty(image,key);
if (value == (const char *) NULL)
return((const ImageAttribute *) NULL);
if (image->attributes == (void *) NULL)
((Image *) image)->attributes=NewSplayTree(CompareSplayTreeString,
RelinquishMagickMemory,DestroyAttribute);
else
{
const ImageAttribute
*attribute;
attribute=(const ImageAttribute *) GetValueFromSplayTree((SplayTreeInfo *)
image->attributes,key);
if (attribute != (const ImageAttribute *) NULL)
return(attribute);
}
attribute=(ImageAttribute *) AcquireMagickMemory(sizeof(*attribute));
if (attribute == (ImageAttribute *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) memset(attribute,0,sizeof(*attribute));
attribute->key=ConstantString(key);
attribute->value=ConstantString(value);
(void) AddValueToSplayTree((SplayTreeInfo *) ((Image *) image)->attributes,
attribute->key,attribute);
return((const ImageAttribute *) attribute);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C l i p p i n g P a t h A t t r i b u t e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageClippingPathAttribute() searches the list of image attributes and
% returns a pointer to a clipping path if it exists otherwise NULL.
%
% Deprecated, replace with:
%
% GetImageAttribute(image,"8BIM:1999,2998");
%
% The format of the GetImageClippingPathAttribute method is:
%
% const ImageAttribute *GetImageClippingPathAttribute(Image *image)
%
% A description of each parameter follows:
%
% o attribute: Method GetImageClippingPathAttribute returns the clipping
% path if it exists otherwise NULL.
%
% o image: the image.
%
*/
MagickExport const ImageAttribute *GetImageClippingPathAttribute(Image *image)
{
return(GetImageAttribute(image,"8BIM:1999,2998"));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e F r o m M a g i c k R e g i s t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageFromMagickRegistry() gets an image from the registry as defined by
% its name. If the image is not found, a NULL image is returned.
%
% Deprecated, replace with:
%
% GetImageRegistry(ImageRegistryType,name,exception);
%
% The format of the GetImageFromMagickRegistry method is:
%
% Image *GetImageFromMagickRegistry(const char *name,ssize_t *id,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o name: the name of the image to retrieve from the registry.
%
% o id: the registry id.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *GetImageFromMagickRegistry(const char *name,ssize_t *id,
ExceptionInfo *exception)
{
*id=0L;
return((Image *) GetImageRegistry(ImageRegistryType,name,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t M a g i c k R e g i s t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetMagickRegistry() gets a blob from the registry as defined by the id. If
% the blob that matches the id is not found, NULL is returned.
%
% The format of the GetMagickRegistry method is:
%
% const void *GetMagickRegistry(const ssize_t id,RegistryType *type,
% size_t *length,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o id: the registry id.
%
% o type: the registry type.
%
% o length: the blob length in number of bytes.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport void *GetMagickRegistry(const ssize_t id,RegistryType *type,
size_t *length,ExceptionInfo *exception)
{
char
key[MaxTextExtent];
void
*blob;
*type=UndefinedRegistryType;
*length=0;
(void) FormatLocaleString(key,MaxTextExtent,"%.20g\n",(double) id);
blob=(void *) GetImageRegistry(ImageRegistryType,key,exception);
if (blob != (void *) NULL)
return(blob);
blob=(void *) GetImageRegistry(ImageInfoRegistryType,key,exception);
if (blob != (void *) NULL)
return(blob);
return((void *) GetImageRegistry(UndefinedRegistryType,key,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t M a g i c k T o k e n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetMagickToken() gets a token from the token stream. A token is defined as
% a sequence of characters delimited by whitespace (e.g. clip-path), a
% sequence delimited with quotes (.e.g "Quote me"), or a sequence enclosed in
% parenthesis (e.g. rgb(0,0,0)). GetMagickToken() also recognizes these
% separator characters: ':', '=', ',', and ';'.
%
% The format of the GetMagickToken method is:
%
% void GetMagickToken(const char *start,const char **end,char *token)
%
% A description of each parameter follows:
%
% o start: the start of the token sequence.
%
% o end: point to the end of the token sequence.
%
% o token: copy the token to this buffer.
%
*/
MagickExport void GetMagickToken(const char *start,const char **end,char *token)
{
GetNextToken(start,end,~0UL,token);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e G e o m e t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageGeometry() returns a region as defined by the geometry string with
% respect to the image and its gravity.
%
% Deprecated, replace with:
%
% if (size_to_fit != MagickFalse)
% ParseRegionGeometry(image,geometry,region_info,&image->exception); else
% ParsePageGeometry(image,geometry,region_info,&image->exception);
%
% The format of the GetImageGeometry method is:
%
% int GetImageGeometry(Image *image,const char *geometry,
% const unsigned int size_to_fit,RectangeInfo *region_info)
%
% A description of each parameter follows:
%
% o flags: Method GetImageGeometry returns a bitmask that indicates
% which of the four values were located in the geometry string.
%
% o geometry: The geometry (e.g. 100x100+10+10).
%
% o size_to_fit: A value other than 0 means to scale the region so it
% fits within the specified width and height.
%
% o region_info: the region as defined by the geometry string with
% respect to the image and its gravity.
%
*/
MagickExport int GetImageGeometry(Image *image,const char *geometry,
const unsigned int size_to_fit,RectangleInfo *region_info)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.4");
if (size_to_fit != MagickFalse)
return((int) ParseRegionGeometry(image,geometry,region_info,&image->exception));
return((int) ParsePageGeometry(image,geometry,region_info,&image->exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e L i s t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageList() returns an image at the specified position in the list.
%
% Deprecated, replace with:
%
% CloneImage(GetImageFromList(images,(ssize_t) offset),0,0,MagickTrue,
% exception);
%
% The format of the GetImageList method is:
%
% Image *GetImageList(const Image *images,const ssize_t offset,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image list.
%
% o offset: the position within the list.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *GetImageList(const Image *images,const ssize_t offset,
ExceptionInfo *exception)
{
Image
*image;
if (images->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
image=CloneImage(GetImageFromList(images,(ssize_t) offset),0,0,MagickTrue,
exception);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e L i s t I n d e x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageListIndex() returns the position in the list of the specified
% image.
%
% Deprecated, replace with:
%
% GetImageIndexInList(images);
%
% The format of the GetImageListIndex method is:
%
% ssize_t GetImageListIndex(const Image *images)
%
% A description of each parameter follows:
%
% o images: the image list.
%
*/
MagickExport ssize_t GetImageListIndex(const Image *images)
{
if (images->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
return(GetImageIndexInList(images));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e L i s t S i z e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageListSize() returns the number of images in the list.
%
% Deprecated, replace with:
%
% GetImageListLength(images);
%
% The format of the GetImageListSize method is:
%
% size_t GetImageListSize(const Image *images)
%
% A description of each parameter follows:
%
% o images: the image list.
%
*/
MagickExport size_t GetImageListSize(const Image *images)
{
if (images->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
return(GetImageListLength(images));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImagePixels() obtains a pixel region for read/write access. If the
% region is successfully accessed, a pointer to a PixelPacket array
% representing the region is returned, otherwise NULL is returned.
%
% The returned pointer may point to a temporary working copy of the pixels
% or it may point to the original pixels in memory. Performance is maximized
% if the selected region is part of one row, or one or more full rows, since
% then there is opportunity to access the pixels in-place (without a copy)
% if the image is in RAM, or in a memory-mapped file. The returned pointer
% should *never* be deallocated by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% PixelPacket. If the image type is CMYK or if the storage class is
% PseduoClass, call GetAuthenticIndexQueue() after invoking GetImagePixels()
% to obtain the black color component or colormap indexes (of type IndexPacket)
% corresponding to the region. Once the PixelPacket (and/or IndexPacket)
% array has been updated, the changes must be saved back to the underlying
% image using SyncAuthenticPixels() or they may be lost.
%
% Deprecated, replace with:
%
% GetAuthenticPixels(image,x,y,columns,rows,&image->exception);
%
% The format of the GetImagePixels() method is:
%
% PixelPacket *GetImagePixels(Image *image,const ssize_t x,const ssize_t y,
% const size_t columns,const size_t rows)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
*/
MagickExport PixelPacket *GetImagePixels(Image *image,const ssize_t x,const ssize_t y,
const size_t columns,const size_t rows)
{
return(GetAuthenticPixels(image,x,y,columns,rows,&image->exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I n d e x e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetIndexes() returns the black channel or the colormap indexes associated
% with the last call to QueueAuthenticPixels() or GetVirtualPixels(). NULL is
% returned if the black channel or colormap indexes are not available.
%
% Deprecated, replace with:
%
% GetAuthenticIndexQueue(image);
%
% The format of the GetIndexes() method is:
%
% IndexPacket *GetIndexes(const Image *image)
%
% A description of each parameter follows:
%
% o indexes: GetIndexes() returns the indexes associated with the last
% call to QueueAuthenticPixels() or GetAuthenticPixels().
%
% o image: the image.
%
*/
MagickExport IndexPacket *GetIndexes(const Image *image)
{
return(GetAuthenticIndexQueue(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t M a g i c k G e o m e t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetMagickGeometry() is similar to GetGeometry() except the returned
% geometry is modified as determined by the meta characters: %, !, <, >,
% and ~.
%
% Deprecated, replace with:
%
% ParseMetaGeometry(geometry,x,y,width,height);
%
% The format of the GetMagickGeometry method is:
%
% unsigned int GetMagickGeometry(const char *geometry,ssize_t *x,ssize_t *y,
% size_t *width,size_t *height)
%
% A description of each parameter follows:
%
% o geometry: Specifies a character string representing the geometry
% specification.
%
% o x,y: A pointer to an integer. The x and y offset as determined by
% the geometry specification is returned here.
%
% o width,height: A pointer to an unsigned integer. The width and height
% as determined by the geometry specification is returned here.
%
*/
MagickExport unsigned int GetMagickGeometry(const char *geometry,ssize_t *x,
ssize_t *y,size_t *width,size_t *height)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.3");
return(ParseMetaGeometry(geometry,x,y,width,height));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t N e x t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetNextImage() returns the next image in a list.
%
% Deprecated, replace with:
%
% GetNextImageInList(images);
%
% The format of the GetNextImage method is:
%
% Image *GetNextImage(const Image *images)
%
% A description of each parameter follows:
%
% o images: the image list.
%
*/
MagickExport Image *GetNextImage(const Image *images)
{
if (images->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
return(GetNextImageInList(images));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t N e x t I m a g e A t t r i b u t e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetNextImageAttribute() gets the next image attribute.
%
% Deprecated, replace with:
%
% const char *property;
% property=GetNextImageProperty(image);
% if (property != (const char *) NULL)
% GetImageAttribute(image,property);
%
% The format of the GetNextImageAttribute method is:
%
% const ImageAttribute *GetNextImageAttribute(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport const ImageAttribute *GetNextImageAttribute(const Image *image)
{
const char
*property;
property=GetNextImageProperty(image);
if (property == (const char *) NULL)
return((const ImageAttribute *) NULL);
return(GetImageAttribute(image,property));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t N u m b e r S c e n e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetNumberScenes() returns the number of images in the list.
%
% Deprecated, replace with:
%
% GetImageListLength(image);
%
% The format of the GetNumberScenes method is:
%
% unsigned int GetNumberScenes(const Image *images)
%
% A description of each parameter follows:
%
% o images: the image list.
%
*/
MagickExport unsigned int GetNumberScenes(const Image *image)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
return((unsigned int) GetImageListLength(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t O n e P i x e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetOnePixel() returns a single pixel at the specified (x,y) location.
% The image background color is returned if an error occurs.
%
% Deprecated, replace with:
%
% GetOneAuthenticPixel(image,x,y,&pixel,&image->exception);
%
% The format of the GetOnePixel() method is:
%
% PixelPacket GetOnePixel(const Image image,const ssize_t x,const ssize_t y)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x,y: These values define the location of the pixel to return.
%
*/
MagickExport PixelPacket GetOnePixel(Image *image,const ssize_t x,const ssize_t y)
{
PixelPacket
pixel;
(void) GetOneAuthenticPixel(image,x,y,&pixel,&image->exception);
return(pixel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPixels() returns the pixels associated with the last call to
% QueueAuthenticPixels() or GetAuthenticPixels().
%
% Deprecated, replace with:
%
% GetAuthenticPixelQueue(image);
%
% The format of the GetPixels() method is:
%
% PixelPacket *GetPixels(const Image image)
%
% A description of each parameter follows:
%
% o pixels: GetPixels() returns the pixels associated with the last call
% to QueueAuthenticPixels() or GetAuthenticPixels().
%
% o image: the image.
%
*/
MagickExport PixelPacket *GetPixels(const Image *image)
{
return(GetAuthenticPixelQueue(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t P r e v i o u s I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetPreviousImage() returns the previous image in a list.
%
% Deprecated, replace with:
%
% GetPreviousImageInList(images));
%
% The format of the GetPreviousImage method is:
%
% Image *GetPreviousImage(const Image *images)
%
% A description of each parameter follows:
%
% o images: the image list.
%
*/
MagickExport Image *GetPreviousImage(const Image *images)
{
if (images->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
return(GetPreviousImageInList(images));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% H S L T r a n s f o r m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% HSLTransform() converts a (hue, saturation, lightness) to a (red, green,
% blue) triple.
%
% The format of the HSLTransformImage method is:
%
% void HSLTransform(const double hue,const double saturation,
% const double lightness,Quantum *red,Quantum *green,Quantum *blue)
%
% A description of each parameter follows:
%
% o hue, saturation, lightness: A double value representing a
% component of the HSL color space.
%
% o red, green, blue: A pointer to a pixel component of type Quantum.
%
*/
static inline MagickRealType HueToRGB(MagickRealType m1,MagickRealType m2,
MagickRealType hue)
{
if (hue < 0.0)
hue+=1.0;
if (hue > 1.0)
hue-=1.0;
if ((6.0*hue) < 1.0)
return(m1+6.0*(m2-m1)*hue);
if ((2.0*hue) < 1.0)
return(m2);
if ((3.0*hue) < 2.0)
return(m1+6.0*(m2-m1)*(2.0/3.0-hue));
return(m1);
}
MagickExport void HSLTransform(const double hue,const double saturation,
const double lightness,Quantum *red,Quantum *green,Quantum *blue)
{
MagickRealType
b,
g,
r,
m1,
m2;
/*
Convert HSL to RGB colorspace.
*/
assert(red != (Quantum *) NULL);
assert(green != (Quantum *) NULL);
assert(blue != (Quantum *) NULL);
if (lightness <= 0.5)
m2=lightness*(saturation+1.0);
else
m2=lightness+saturation-lightness*saturation;
m1=2.0*lightness-m2;
r=HueToRGB(m1,m2,hue+1.0/3.0);
g=HueToRGB(m1,m2,hue);
b=HueToRGB(m1,m2,hue-1.0/3.0);
*red=ClampToQuantum((MagickRealType) QuantumRange*r);
*green=ClampToQuantum((MagickRealType) QuantumRange*g);
*blue=ClampToQuantum((MagickRealType) QuantumRange*b);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I d e n t i t y A f f i n e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IdentityAffine() initializes the affine transform to the identity matrix.
%
% The format of the IdentityAffine method is:
%
% IdentityAffine(AffineMatrix *affine)
%
% A description of each parameter follows:
%
% o affine: A pointer the affine transform of type AffineMatrix.
%
*/
MagickExport void IdentityAffine(AffineMatrix *affine)
{
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
assert(affine != (AffineMatrix *) NULL);
(void) memset(affine,0,sizeof(AffineMatrix));
affine->sx=1.0;
affine->sy=1.0;
}
#if defined(MAGICKCORE_WINDOWS_SUPPORT)
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I m a g e T o H B i t m a p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ImageToHBITMAP() creates a Windows HBITMAP from an image.
%
% The format of the ImageToHBITMAP method is:
%
% HBITMAP ImageToHBITMAP(Image *image,Exceptioninfo *exception)
%
% A description of each parameter follows:
%
% o image: the image to convert.
%
*/
MagickExport void *ImageToHBITMAP(Image *image,ExceptionInfo *exception)
{
BITMAP
bitmap;
HANDLE
bitmap_bitsH;
HBITMAP
bitmapH;
register ssize_t
x;
register const PixelPacket
*p;
register RGBQUAD
*q;
RGBQUAD
*bitmap_bits;
size_t
length;
ssize_t
y;
(void) memset(&bitmap,0,sizeof(bitmap));
bitmap.bmType=0;
bitmap.bmWidth=(LONG) image->columns;
bitmap.bmHeight=(LONG) image->rows;
bitmap.bmWidthBytes=4*bitmap.bmWidth;
bitmap.bmPlanes=1;
bitmap.bmBitsPixel=32;
bitmap.bmBits=NULL;
length=bitmap.bmWidthBytes*bitmap.bmHeight;
bitmap_bitsH=(HANDLE) GlobalAlloc(GMEM_MOVEABLE | GMEM_DDESHARE,length);
if (bitmap_bitsH == NULL)
{
char
*message;
message=GetExceptionMessage(errno);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",message);
message=DestroyString(message);
return(NULL);
}
bitmap_bits=(RGBQUAD *) GlobalLock((HGLOBAL) bitmap_bitsH);
q=bitmap_bits;
if (bitmap.bmBits == NULL)
bitmap.bmBits=bitmap_bits;
(void) SetImageColorspace(image,sRGBColorspace);
for (y=0; y < (ssize_t) image->rows; y++)
{
p=GetVirtualPixels(image,0,y,image->columns,1,exception);
if (p == (const PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
q->rgbRed=ScaleQuantumToChar(GetPixelRed(p));
q->rgbGreen=ScaleQuantumToChar(GetPixelGreen(p));
q->rgbBlue=ScaleQuantumToChar(GetPixelBlue(p));
q->rgbReserved=0;
p++;
q++;
}
}
bitmap.bmBits=bitmap_bits;
bitmapH=CreateBitmapIndirect(&bitmap);
if (bitmapH == NULL)
{
char
*message;
message=GetExceptionMessage(errno);
(void) ThrowMagickException(exception,GetMagickModule(),
ResourceLimitError,"MemoryAllocationFailed","`%s'",message);
message=DestroyString(message);
}
GlobalUnlock((HGLOBAL) bitmap_bitsH);
GlobalFree((HGLOBAL) bitmap_bitsH);
return((void *) bitmapH);
}
#endif
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n i t i a l i z e M a g i c k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InitializeMagick() initializes the ImageMagick environment.
%
% Deprecated, replace with:
%
% MagickCoreGenesis(path,MagickFalse);
%
% The format of the InitializeMagick function is:
%
% InitializeMagick(const char *path)
%
% A description of each parameter follows:
%
% o path: the execution path of the current ImageMagick client.
%
*/
MagickExport void InitializeMagick(const char *path)
{
MagickCoreGenesis(path,MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n t e r p o l a t e P i x e l C o l o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InterpolatePixelColor() applies bi-linear or tri-linear interpolation
% between a pixel and it's neighbors.
%
% The format of the InterpolatePixelColor method is:
%
% MagickPixelPacket InterpolatePixelColor(const Image *image,
% CacheView *view_info,InterpolatePixelMethod method,const double x,
% const double y,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o image_view: the image cache view.
%
% o type: the type of pixel color interpolation.
%
% o x,y: A double representing the current (x,y) position of the pixel.
%
% o exception: return any errors or warnings in this structure.
%
*/
static void BicubicInterpolate(const MagickPixelPacket *pixels,const double dx,
MagickPixelPacket *pixel)
{
MagickRealType
dx2,
p,
q,
r,
s;
dx2=dx*dx;
p=(pixels[3].red-pixels[2].red)-(pixels[0].red-pixels[1].red);
q=(pixels[0].red-pixels[1].red)-p;
r=pixels[2].red-pixels[0].red;
s=pixels[1].red;
pixel->red=(dx*dx2*p)+(dx2*q)+(dx*r)+s;
p=(pixels[3].green-pixels[2].green)-(pixels[0].green-pixels[1].green);
q=(pixels[0].green-pixels[1].green)-p;
r=pixels[2].green-pixels[0].green;
s=pixels[1].green;
pixel->green=(dx*dx2*p)+(dx2*q)+(dx*r)+s;
p=(pixels[3].blue-pixels[2].blue)-(pixels[0].blue-pixels[1].blue);
q=(pixels[0].blue-pixels[1].blue)-p;
r=pixels[2].blue-pixels[0].blue;
s=pixels[1].blue;
pixel->blue=(dx*dx2*p)+(dx2*q)+(dx*r)+s;
p=(pixels[3].opacity-pixels[2].opacity)-(pixels[0].opacity-pixels[1].opacity);
q=(pixels[0].opacity-pixels[1].opacity)-p;
r=pixels[2].opacity-pixels[0].opacity;
s=pixels[1].opacity;
pixel->opacity=(dx*dx2*p)+(dx2*q)+(dx*r)+s;
if (pixel->colorspace == CMYKColorspace)
{
p=(pixels[3].index-pixels[2].index)-(pixels[0].index-pixels[1].index);
q=(pixels[0].index-pixels[1].index)-p;
r=pixels[2].index-pixels[0].index;
s=pixels[1].index;
pixel->index=(dx*dx2*p)+(dx2*q)+(dx*r)+s;
}
}
static inline MagickRealType CubicWeightingFunction(const MagickRealType x)
{
MagickRealType
alpha,
gamma;
alpha=MagickMax(x+2.0,0.0);
gamma=1.0*alpha*alpha*alpha;
alpha=MagickMax(x+1.0,0.0);
gamma-=4.0*alpha*alpha*alpha;
alpha=MagickMax(x+0.0,0.0);
gamma+=6.0*alpha*alpha*alpha;
alpha=MagickMax(x-1.0,0.0);
gamma-=4.0*alpha*alpha*alpha;
return(gamma/6.0);
}
static inline double MeshInterpolate(const PointInfo *delta,const double p,
const double x,const double y)
{
return(delta->x*x+delta->y*y+(1.0-delta->x-delta->y)*p);
}
static inline ssize_t NearestNeighbor(MagickRealType x)
{
if (x >= 0.0)
return((ssize_t) (x+0.5));
return((ssize_t) (x-0.5));
}
MagickExport MagickPixelPacket InterpolatePixelColor(const Image *image,
CacheView *image_view,const InterpolatePixelMethod method,const double x,
const double y,ExceptionInfo *exception)
{
MagickPixelPacket
pixel;
register const IndexPacket
*indexes;
register const PixelPacket
*p;
register ssize_t
i;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(image_view != (CacheView *) NULL);
GetMagickPixelPacket(image,&pixel);
switch (method)
{
case AverageInterpolatePixel:
{
double
gamma;
MagickPixelPacket
pixels[16];
MagickRealType
alpha[16];
p=GetCacheViewVirtualPixels(image_view,(ssize_t) floor(x)-1,(ssize_t)
floor(y)-1,4,4,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (i=0; i < 16L; i++)
{
GetMagickPixelPacket(image,pixels+i);
SetMagickPixelPacket(image,p,indexes+i,pixels+i);
alpha[i]=1.0;
if (image->matte != MagickFalse)
{
alpha[i]=QuantumScale*((MagickRealType) GetPixelAlpha(p));
pixels[i].red*=alpha[i];
pixels[i].green*=alpha[i];
pixels[i].blue*=alpha[i];
if (image->colorspace == CMYKColorspace)
pixels[i].index*=alpha[i];
}
gamma=alpha[i];
gamma=PerceptibleReciprocal(gamma);
pixel.red+=gamma*0.0625*pixels[i].red;
pixel.green+=gamma*0.0625*pixels[i].green;
pixel.blue+=gamma*0.0625*pixels[i].blue;
pixel.opacity+=0.0625*pixels[i].opacity;
if (image->colorspace == CMYKColorspace)
pixel.index+=gamma*0.0625*pixels[i].index;
p++;
}
break;
}
case BicubicInterpolatePixel:
{
MagickPixelPacket
pixels[16],
u[4];
MagickRealType
alpha[16];
PointInfo
delta;
p=GetCacheViewVirtualPixels(image_view,(ssize_t) floor(x)-1,(ssize_t)
floor(y)-1,4,4,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (i=0; i < 4L; i++)
GetMagickPixelPacket(image,u+i);
for (i=0; i < 16L; i++)
{
GetMagickPixelPacket(image,pixels+i);
SetMagickPixelPacket(image,p,indexes+i,pixels+i);
alpha[i]=1.0;
if (image->matte != MagickFalse)
{
alpha[i]=QuantumScale*((MagickRealType) GetPixelAlpha(p));
pixels[i].red*=alpha[i];
pixels[i].green*=alpha[i];
pixels[i].blue*=alpha[i];
if (image->colorspace == CMYKColorspace)
pixels[i].index*=alpha[i];
}
p++;
}
delta.x=x-floor(x);
for (i=0; i < 4L; i++)
{
GetMagickPixelPacket(image,pixels+4*i);
BicubicInterpolate(pixels+4*i,delta.x,u+i);
}
delta.y=y-floor(y);
BicubicInterpolate(u,delta.y,&pixel);
break;
}
case BilinearInterpolatePixel:
default:
{
double
gamma;
MagickPixelPacket
pixels[16];
MagickRealType
alpha[16];
PointInfo
delta;
p=GetCacheViewVirtualPixels(image_view,(ssize_t) floor(x),(ssize_t)
floor(y),2,2,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (i=0; i < 4L; i++)
{
GetMagickPixelPacket(image,pixels+i);
SetMagickPixelPacket(image,p,indexes+i,pixels+i);
alpha[i]=1.0;
if (image->matte != MagickFalse)
{
alpha[i]=QuantumScale*((MagickRealType) GetPixelAlpha(p));
pixels[i].red*=alpha[i];
pixels[i].green*=alpha[i];
pixels[i].blue*=alpha[i];
if (image->colorspace == CMYKColorspace)
pixels[i].index*=alpha[i];
}
p++;
}
delta.x=x-floor(x);
delta.y=y-floor(y);
gamma=(((1.0-delta.y)*((1.0-delta.x)*alpha[0]+delta.x*alpha[1])+delta.y*
((1.0-delta.x)*alpha[2]+delta.x*alpha[3])));
gamma=PerceptibleReciprocal(gamma);
pixel.red=gamma*((1.0-delta.y)*((1.0-delta.x)*pixels[0].red+delta.x*
pixels[1].red)+delta.y*((1.0-delta.x)*pixels[2].red+delta.x*
pixels[3].red));
pixel.green=gamma*((1.0-delta.y)*((1.0-delta.x)*pixels[0].green+delta.x*
pixels[1].green)+delta.y*((1.0-delta.x)*pixels[2].green+
delta.x*pixels[3].green));
pixel.blue=gamma*((1.0-delta.y)*((1.0-delta.x)*pixels[0].blue+delta.x*
pixels[1].blue)+delta.y*((1.0-delta.x)*pixels[2].blue+delta.x*
pixels[3].blue));
pixel.opacity=((1.0-delta.y)*((1.0-delta.x)*pixels[0].opacity+delta.x*
pixels[1].opacity)+delta.y*((1.0-delta.x)*pixels[2].opacity+delta.x*
pixels[3].opacity));
if (image->colorspace == CMYKColorspace)
pixel.index=gamma*((1.0-delta.y)*((1.0-delta.x)*pixels[0].index+delta.x*
pixels[1].index)+delta.y*((1.0-delta.x)*pixels[2].index+delta.x*
pixels[3].index));
break;
}
case FilterInterpolatePixel:
{
Image
*excerpt_image,
*filter_image;
MagickPixelPacket
pixels[1];
RectangleInfo
geometry;
geometry.width=4L;
geometry.height=4L;
geometry.x=(ssize_t) floor(x)-1L;
geometry.y=(ssize_t) floor(y)-1L;
excerpt_image=ExcerptImage(image,&geometry,exception);
if (excerpt_image == (Image *) NULL)
break;
filter_image=ResizeImage(excerpt_image,1,1,image->filter,image->blur,
exception);
excerpt_image=DestroyImage(excerpt_image);
if (filter_image == (Image *) NULL)
break;
p=GetVirtualPixels(filter_image,0,0,1,1,exception);
if (p == (const PixelPacket *) NULL)
{
filter_image=DestroyImage(filter_image);
break;
}
indexes=GetVirtualIndexQueue(filter_image);
GetMagickPixelPacket(image,pixels);
SetMagickPixelPacket(image,p,indexes,&pixel);
filter_image=DestroyImage(filter_image);
break;
}
case IntegerInterpolatePixel:
{
MagickPixelPacket
pixels[1];
p=GetCacheViewVirtualPixels(image_view,(ssize_t) floor(x),(ssize_t)
floor(y),1,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
GetMagickPixelPacket(image,pixels);
SetMagickPixelPacket(image,p,indexes,&pixel);
break;
}
case MeshInterpolatePixel:
{
double
gamma;
MagickPixelPacket
pixels[4];
MagickRealType
alpha[4];
PointInfo
delta,
luminance;
p=GetCacheViewVirtualPixels(image_view,(ssize_t) floor(x),(ssize_t)
floor(y),2,2,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
for (i=0; i < 4L; i++)
{
GetMagickPixelPacket(image,pixels+i);
SetMagickPixelPacket(image,p,indexes+i,pixels+i);
alpha[i]=1.0;
if (image->matte != MagickFalse)
{
alpha[i]=QuantumScale*((MagickRealType) GetPixelAlpha(p));
pixels[i].red*=alpha[i];
pixels[i].green*=alpha[i];
pixels[i].blue*=alpha[i];
if (image->colorspace == CMYKColorspace)
pixels[i].index*=alpha[i];
}
p++;
}
delta.x=x-floor(x);
delta.y=y-floor(y);
luminance.x=MagickPixelLuma(pixels+0)-MagickPixelLuma(pixels+3);
luminance.y=MagickPixelLuma(pixels+1)-MagickPixelLuma(pixels+2);
if (fabs(luminance.x) < fabs(luminance.y))
{
/*
Diagonal 0-3 NW-SE.
*/
if (delta.x <= delta.y)
{
/*
Bottom-left triangle (pixel:2, diagonal: 0-3).
*/
delta.y=1.0-delta.y;
gamma=MeshInterpolate(&delta,alpha[2],alpha[3],alpha[0]);
gamma=PerceptibleReciprocal(gamma);
pixel.red=gamma*MeshInterpolate(&delta,pixels[2].red,
pixels[3].red,pixels[0].red);
pixel.green=gamma*MeshInterpolate(&delta,pixels[2].green,
pixels[3].green,pixels[0].green);
pixel.blue=gamma*MeshInterpolate(&delta,pixels[2].blue,
pixels[3].blue,pixels[0].blue);
pixel.opacity=gamma*MeshInterpolate(&delta,pixels[2].opacity,
pixels[3].opacity,pixels[0].opacity);
if (image->colorspace == CMYKColorspace)
pixel.index=gamma*MeshInterpolate(&delta,pixels[2].index,
pixels[3].index,pixels[0].index);
}
else
{
/*
Top-right triangle (pixel:1, diagonal: 0-3).
*/
delta.x=1.0-delta.x;
gamma=MeshInterpolate(&delta,alpha[1],alpha[0],alpha[3]);
gamma=PerceptibleReciprocal(gamma);
pixel.red=gamma*MeshInterpolate(&delta,pixels[1].red,
pixels[0].red,pixels[3].red);
pixel.green=gamma*MeshInterpolate(&delta,pixels[1].green,
pixels[0].green,pixels[3].green);
pixel.blue=gamma*MeshInterpolate(&delta,pixels[1].blue,
pixels[0].blue,pixels[3].blue);
pixel.opacity=gamma*MeshInterpolate(&delta,pixels[1].opacity,
pixels[0].opacity,pixels[3].opacity);
if (image->colorspace == CMYKColorspace)
pixel.index=gamma*MeshInterpolate(&delta,pixels[1].index,
pixels[0].index,pixels[3].index);
}
}
else
{
/*
Diagonal 1-2 NE-SW.
*/
if (delta.x <= (1.0-delta.y))
{
/*
Top-left triangle (pixel 0, diagonal: 1-2).
*/
gamma=MeshInterpolate(&delta,alpha[0],alpha[1],alpha[2]);
gamma=PerceptibleReciprocal(gamma);
pixel.red=gamma*MeshInterpolate(&delta,pixels[0].red,
pixels[1].red,pixels[2].red);
pixel.green=gamma*MeshInterpolate(&delta,pixels[0].green,
pixels[1].green,pixels[2].green);
pixel.blue=gamma*MeshInterpolate(&delta,pixels[0].blue,
pixels[1].blue,pixels[2].blue);
pixel.opacity=gamma*MeshInterpolate(&delta,pixels[0].opacity,
pixels[1].opacity,pixels[2].opacity);
if (image->colorspace == CMYKColorspace)
pixel.index=gamma*MeshInterpolate(&delta,pixels[0].index,
pixels[1].index,pixels[2].index);
}
else
{
/*
Bottom-right triangle (pixel: 3, diagonal: 1-2).
*/
delta.x=1.0-delta.x;
delta.y=1.0-delta.y;
gamma=MeshInterpolate(&delta,alpha[3],alpha[2],alpha[1]);
gamma=PerceptibleReciprocal(gamma);
pixel.red=gamma*MeshInterpolate(&delta,pixels[3].red,
pixels[2].red,pixels[1].red);
pixel.green=gamma*MeshInterpolate(&delta,pixels[3].green,
pixels[2].green,pixels[1].green);
pixel.blue=gamma*MeshInterpolate(&delta,pixels[3].blue,
pixels[2].blue,pixels[1].blue);
pixel.opacity=gamma*MeshInterpolate(&delta,pixels[3].opacity,
pixels[2].opacity,pixels[1].opacity);
if (image->colorspace == CMYKColorspace)
pixel.index=gamma*MeshInterpolate(&delta,pixels[3].index,
pixels[2].index,pixels[1].index);
}
}
break;
}
case NearestNeighborInterpolatePixel:
{
MagickPixelPacket
pixels[1];
p=GetCacheViewVirtualPixels(image_view,NearestNeighbor(x),
NearestNeighbor(y),1,1,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
GetMagickPixelPacket(image,pixels);
SetMagickPixelPacket(image,p,indexes,&pixel);
break;
}
case SplineInterpolatePixel:
{
double
gamma;
MagickPixelPacket
pixels[16];
MagickRealType
alpha[16],
dx,
dy;
PointInfo
delta;
ssize_t
j,
n;
p=GetCacheViewVirtualPixels(image_view,(ssize_t) floor(x)-1,(ssize_t)
floor(y)-1,4,4,exception);
if (p == (const PixelPacket *) NULL)
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
n=0;
delta.x=x-floor(x);
delta.y=y-floor(y);
for (i=(-1); i < 3L; i++)
{
dy=CubicWeightingFunction((MagickRealType) i-delta.y);
for (j=(-1); j < 3L; j++)
{
GetMagickPixelPacket(image,pixels+n);
SetMagickPixelPacket(image,p,indexes+n,pixels+n);
alpha[n]=1.0;
if (image->matte != MagickFalse)
{
alpha[n]=QuantumScale*((MagickRealType)
GetPixelAlpha(p));
pixels[n].red*=alpha[n];
pixels[n].green*=alpha[n];
pixels[n].blue*=alpha[n];
if (image->colorspace == CMYKColorspace)
pixels[n].index*=alpha[n];
}
dx=CubicWeightingFunction(delta.x-(MagickRealType) j);
gamma=alpha[n];
gamma=PerceptibleReciprocal(gamma);
pixel.red+=gamma*dx*dy*pixels[n].red;
pixel.green+=gamma*dx*dy*pixels[n].green;
pixel.blue+=gamma*dx*dy*pixels[n].blue;
if (image->matte != MagickFalse)
pixel.opacity+=dx*dy*pixels[n].opacity;
if (image->colorspace == CMYKColorspace)
pixel.index+=gamma*dx*dy*pixels[n].index;
n++;
p++;
}
}
break;
}
}
return(pixel);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n t e r p r e t I m a g e A t t r i b u t e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InterpretImageAttributes() replaces any embedded formatting characters with
% the appropriate image attribute and returns the translated text.
%
% Deprecated, replace with:
%
% InterpretImageProperties(image_info,image,embed_text);
%
% The format of the InterpretImageAttributes method is:
%
% char *InterpretImageAttributes(const ImageInfo *image_info,Image *image,
% const char *embed_text)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o image: the image.
%
% o embed_text: the address of a character string containing the embedded
% formatting characters.
%
*/
MagickExport char *InterpretImageAttributes(const ImageInfo *image_info,
Image *image,const char *embed_text)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.3.1");
return(InterpretImageProperties(image_info,image,embed_text));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n v e r s e s R G B C o m p a n d o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InversesRGBCompandor() removes the gamma function from a sRGB pixel.
%
% The format of the InversesRGBCompandor method is:
%
% MagickRealType InversesRGBCompandor(const MagickRealType pixel)
%
% A description of each parameter follows:
%
% o pixel: the pixel.
%
*/
MagickExport MagickRealType InversesRGBCompandor(const MagickRealType pixel)
{
if (pixel <= (0.0404482362771076*QuantumRange))
return(pixel/12.92);
return(QuantumRange*pow((QuantumScale*pixel+0.055)/1.055,2.4));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s M a g i c k I n s t a n t i a t e d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsMagickInstantiated() returns MagickTrue if the ImageMagick environment
% is currently instantiated: MagickCoreGenesis() has been called but
% MagickDestroy() has not.
%
% The format of the IsMagickInstantiated method is:
%
% MagickBooleanType IsMagickInstantiated(void)
%
*/
MagickExport MagickBooleanType IsMagickInstantiated(void)
{
return(IsMagickCoreInstantiated());
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ I s S u b i m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsSubimage() returns MagickTrue if the geometry is a valid subimage
% specification (e.g. [1], [1-9], [1,7,4]).
%
% The format of the IsSubimage method is:
%
% unsigned int IsSubimage(const char *geometry,const unsigned int pedantic)
%
% A description of each parameter follows:
%
% o geometry: This string is the geometry specification.
%
% o pedantic: A value other than 0 invokes a more restrictive set of
% conditions for a valid specification (e.g. [1], [1-4], [4-1]).
%
*/
MagickExport unsigned int IsSubimage(const char *geometry,
const unsigned int pedantic)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
if (geometry == (const char *) NULL)
return(MagickFalse);
if ((strchr(geometry,'x') != (char *) NULL) ||
(strchr(geometry,'X') != (char *) NULL))
return(MagickFalse);
if ((pedantic != MagickFalse) && (strchr(geometry,',') != (char *) NULL))
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e v e l I m a g e C o l o r s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LevelImageColor() will map the given color to "black" and "white"
% values, limearly spreading out the colors, and level values on a channel by
% channel bases, as per LevelImage(). The given colors allows you to specify
% different level ranges for each of the color channels separately.
%
% If the boolean 'invert' is set true the image values will modifyed in the
% reverse direction. That is any existing "black" and "white" colors in the
% image will become the color values given, with all other values compressed
% appropriatally. This effectivally maps a greyscale gradient into the given
% color gradient.
%
% Deprecated, replace with:
%
% LevelColorsImageChannel(image,channel,black_color,white_color,invert);
%
% The format of the LevelImageColors method is:
%
% MagickBooleanType LevelImageColors(Image *image,const ChannelType channel,
% const MagickPixelPacket *black_color,const MagickPixelPacket *white_color,
% const MagickBooleanType invert)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel.
%
% o black_color: The color to map black to/from
%
% o white_point: The color to map white to/from
%
% o invert: if true map the colors (levelize), rather than from (level)
%
*/
MagickBooleanType LevelImageColors(Image *image,const ChannelType channel,
const MagickPixelPacket *black_color,const MagickPixelPacket *white_color,
const MagickBooleanType invert)
{
return(LevelColorsImageChannel(image,channel,black_color,white_color,invert));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L i b e r a t e M e m o r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LiberateMemory() frees memory that has already been allocated, and NULL's
% the pointer to it.
%
% The format of the LiberateMemory method is:
%
% void LiberateMemory(void **memory)
%
% A description of each parameter follows:
%
% o memory: A pointer to a block of memory to free for reuse.
%
*/
MagickExport void LiberateMemory(void **memory)
{
assert(memory != (void **) NULL);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
if (*memory == (void *) NULL)
return;
free(*memory);
*memory=(void *) NULL;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L i b e r a t e S e m a p h o r e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LiberateSemaphoreInfo() relinquishes a semaphore.
%
% Deprecated, replace with:
%
% UnlockSemaphoreInfo(*semaphore_info);
%
% The format of the LiberateSemaphoreInfo method is:
%
% LiberateSemaphoreInfo(void **semaphore_info)
%
% A description of each parameter follows:
%
% o semaphore_info: Specifies a pointer to an SemaphoreInfo structure.
%
*/
MagickExport void LiberateSemaphoreInfo(SemaphoreInfo **semaphore_info)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
UnlockSemaphoreInfo(*semaphore_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a g i c k I n c a r n a t e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MagickIncarnate() initializes the ImageMagick environment.
%
% Deprecated, replace with:
%
% MagickCoreGenesis(path,MagickFalse);
%
% The format of the MagickIncarnate function is:
%
% MagickIncarnate(const char *path)
%
% A description of each parameter follows:
%
% o path: the execution path of the current ImageMagick client.
%
*/
MagickExport void MagickIncarnate(const char *path)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.1");
MagickCoreGenesis(path,MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a g i c k M o n i t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MagickMonitor() calls the monitor handler method with a text string that
% describes the task and a measure of completion. The method returns
% MagickTrue on success otherwise MagickFalse if an error is encountered, e.g.
% if there was a user interrupt.
%
% The format of the MagickMonitor method is:
%
% MagickBooleanType MagickMonitor(const char *text,
% const MagickOffsetType offset,const MagickSizeType span,
% void *client_data)
%
% A description of each parameter follows:
%
% o offset: the position relative to the span parameter which represents
% how much progress has been made toward completing a task.
%
% o span: the span relative to completing a task.
%
% o client_data: the client data.
%
*/
MagickExport MagickBooleanType MagickMonitor(const char *text,
const MagickOffsetType offset,const MagickSizeType span,
void *magick_unused(client_data))
{
ExceptionInfo
*exception;
MagickBooleanType
status;
magick_unreferenced(client_data);
assert(text != (const char *) NULL);
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",text);
ProcessPendingEvents(text);
status=MagickTrue;
exception=AcquireExceptionInfo();
if (monitor_handler != (MonitorHandler) NULL)
status=(*monitor_handler)(text,offset,span,exception);
exception=DestroyExceptionInfo(exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MapImage() replaces the colors of an image with the closest color from a
% reference image.
%
% Deprecated, replace with:
%
% QuantizeInfo quantize_info;
% GetQuantizeInfo(&quantize_info);
% quantize_info.dither=dither;
% RemapImage(&quantize_info,image,map_image);
%
% The format of the MapImage method is:
%
% MagickBooleanType MapImage(Image *image,const Image *map_image,
% const MagickBooleanType dither)
%
% A description of each parameter follows:
%
% o image: Specifies a pointer to an Image structure.
%
% o map_image: the image. Reduce image to a set of colors represented by
% this image.
%
% o dither: Set this integer value to something other than zero to
% dither the mapped image.
%
*/
MagickExport MagickBooleanType MapImage(Image *image,const Image *map_image,
const MagickBooleanType dither)
{
QuantizeInfo
quantize_info;
/*
Initialize color cube.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(map_image != (Image *) NULL);
assert(map_image->signature == MagickCoreSignature);
GetQuantizeInfo(&quantize_info);
quantize_info.dither=dither;
return(RemapImage(&quantize_info,image,map_image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a p I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MapImages() replaces the colors of a sequence of images with the closest
% color from a reference image.
%
% Deprecated, replace with:
%
% QuantizeInfo quantize_info;
% GetQuantizeInfo(&quantize_info);
% quantize_info.dither=dither;
% RemapImages(&quantize_info,images,map_image);
%
% The format of the MapImage method is:
%
% MagickBooleanType MapImages(Image *images,Image *map_image,
% const MagickBooleanType dither)
%
% A description of each parameter follows:
%
% o image: Specifies a pointer to a set of Image structures.
%
% o map_image: the image. Reduce image to a set of colors represented by
% this image.
%
% o dither: Set this integer value to something other than zero to
% dither the quantized image.
%
*/
MagickExport MagickBooleanType MapImages(Image *images,const Image *map_image,
const MagickBooleanType dither)
{
QuantizeInfo
quantize_info;
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
GetQuantizeInfo(&quantize_info);
quantize_info.dither=dither;
return(RemapImages(&quantize_info,images,map_image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a t t e F l o o d f i l l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MatteFloodfill() changes the transparency value of any pixel that matches
% target and is an immediate neighbor. If the method FillToBorderMethod
% is specified, the transparency value is changed for any neighbor pixel
% that does not match the bordercolor member of image.
%
% By default target must match a particular pixel transparency exactly.
% However, in many cases two transparency values may differ by a
% small amount. The fuzz member of image defines how much tolerance is
% acceptable to consider two transparency values as the same. For example,
% set fuzz to 10 and the opacity values of 100 and 102 respectively are
% now interpreted as the same value for the purposes of the floodfill.
%
% The format of the MatteFloodfillImage method is:
%
% MagickBooleanType MatteFloodfillImage(Image *image,
% const PixelPacket target,const Quantum opacity,const ssize_t x_offset,
% const ssize_t y_offset,const PaintMethod method)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o target: the RGB value of the target color.
%
% o opacity: the level of transparency: 0 is fully opaque and QuantumRange is
% fully transparent.
%
% o x,y: the starting location of the operation.
%
% o method: Choose either FloodfillMethod or FillToBorderMethod.
%
*/
MagickExport MagickBooleanType MatteFloodfillImage(Image *image,
const PixelPacket target,const Quantum opacity,const ssize_t x_offset,
const ssize_t y_offset,const PaintMethod method)
{
Image
*floodplane_image;
MagickBooleanType
skip;
register SegmentInfo
*s;
SegmentInfo
*segment_stack;
ssize_t
offset,
start,
x,
x1,
x2,
y;
/*
Check boundary conditions.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((x_offset < 0) || (x_offset >= (ssize_t) image->columns))
return(MagickFalse);
if ((y_offset < 0) || (y_offset >= (ssize_t) image->rows))
return(MagickFalse);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
floodplane_image=CloneImage(image,0,0,MagickTrue,&image->exception);
if (floodplane_image == (Image *) NULL)
return(MagickFalse);
(void) SetImageAlphaChannel(floodplane_image,OpaqueAlphaChannel);
/*
Set floodfill color.
*/
segment_stack=(SegmentInfo *) AcquireQuantumMemory(MaxStacksize,
sizeof(*segment_stack));
if (segment_stack == (SegmentInfo *) NULL)
{
floodplane_image=DestroyImage(floodplane_image);
ThrowBinaryImageException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
}
/*
Push initial segment on stack.
*/
x=x_offset;
y=y_offset;
start=0;
s=segment_stack;
PushSegmentStack(y,x,x,1);
PushSegmentStack(y+1,x,x,-1);
while (s > segment_stack)
{
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
/*
Pop segment off stack.
*/
s--;
x1=(ssize_t) s->x1;
x2=(ssize_t) s->x2;
offset=(ssize_t) s->y2;
y=(ssize_t) s->y1+offset;
/*
Recolor neighboring pixels.
*/
p=GetVirtualPixels(image,0,y,(size_t) (x1+1),1,&image->exception);
q=GetAuthenticPixels(floodplane_image,0,y,(size_t) (x1+1),1,
&image->exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
p+=x1;
q+=x1;
for (x=x1; x >= 0; x--)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
if (method == FloodfillMethod)
{
if (IsColorSimilar(image,p,&target) == MagickFalse)
break;
}
else
if (IsColorSimilar(image,p,&target) != MagickFalse)
break;
q->opacity=(Quantum) TransparentOpacity;
q--;
p--;
}
if (SyncAuthenticPixels(floodplane_image,&image->exception) == MagickFalse)
break;
skip=x >= x1 ? MagickTrue : MagickFalse;
if (skip == MagickFalse)
{
start=x+1;
if (start < x1)
PushSegmentStack(y,start,x1-1,-offset);
x=x1+1;
}
do
{
if (skip == MagickFalse)
{
if (x < (ssize_t) image->columns)
{
p=GetVirtualPixels(image,x,y,image->columns-x,1,
&image->exception);
q=GetAuthenticPixels(floodplane_image,x,y,image->columns-x,1,
&image->exception);
if ((p == (const PixelPacket *) NULL) ||
(q == (PixelPacket *) NULL))
break;
for ( ; x < (ssize_t) image->columns; x++)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
if (method == FloodfillMethod)
{
if (IsColorSimilar(image,p,&target) == MagickFalse)
break;
}
else
if (IsColorSimilar(image,p,&target) != MagickFalse)
break;
q->opacity=(Quantum) TransparentOpacity;
q++;
p++;
}
if (SyncAuthenticPixels(floodplane_image,&image->exception) == MagickFalse)
break;
}
PushSegmentStack(y,start,x-1,offset);
if (x > (x2+1))
PushSegmentStack(y,x2+1,x-1,-offset);
}
skip=MagickFalse;
x++;
if (x <= x2)
{
p=GetVirtualPixels(image,x,y,(size_t) (x2-x+1),1,
&image->exception);
q=GetAuthenticPixels(floodplane_image,x,y,(size_t) (x2-x+1),1,
&image->exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
for ( ; x <= x2; x++)
{
if (q->opacity == (Quantum) TransparentOpacity)
break;
if (method == FloodfillMethod)
{
if (IsColorSimilar(image,p,&target) != MagickFalse)
break;
}
else
if (IsColorSimilar(image,p,&target) == MagickFalse)
break;
p++;
q++;
}
}
start=x;
} while (x <= x2);
}
for (y=0; y < (ssize_t) image->rows; y++)
{
register const PixelPacket
*magick_restrict p;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
/*
Tile fill color onto floodplane.
*/
p=GetVirtualPixels(floodplane_image,0,y,image->columns,1,
&image->exception);
q=GetAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelOpacity(p) != OpaqueOpacity)
q->opacity=opacity;
p++;
q++;
}
if (SyncAuthenticPixels(image,&image->exception) == MagickFalse)
break;
}
segment_stack=(SegmentInfo *) RelinquishMagickMemory(segment_stack);
floodplane_image=DestroyImage(floodplane_image);
return(y == (ssize_t) image->rows ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a x i m u m I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MaximumImages() returns the maximum intensity of an image sequence.
%
% Deprecated, replace with:
%
% EvaluateImages(images,MinEvaluateOperator,exception);
%
% The format of the MaxImages method is:
%
% Image *MaximumImages(Image *images,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MaximumImages(const Image *images,ExceptionInfo *exception)
{
return(EvaluateImages(images,MinEvaluateOperator,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M i n i m u m I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MinimumImages() returns the minimum intensity of an image sequence.
%
% Deprecated, replace with:
%
% EvaluateImages(images,MinEvaluateOperator,exception);
%
% The format of the MinimumImages method is:
%
% Image *MinimumImages(Image *images,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MinimumImages(const Image *images,ExceptionInfo *exception)
{
return(EvaluateImages(images,MinEvaluateOperator,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M e d i a n F i l t e r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MedianFilterImage() applies a digital filter that improves the quality
% of a noisy image. Each pixel is replaced by the median in a set of
% neighboring pixels as defined by radius.
%
% The algorithm was contributed by Mike Edmonds and implements an insertion
% sort for selecting median color-channel values. For more on this algorithm
% see "Skip Lists: A probabilistic Alternative to Balanced Trees" by William
% Pugh in the June 1990 of Communications of the ACM.
%
% The format of the MedianFilterImage method is:
%
% Image *MedianFilterImage(const Image *image,const double radius,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MedianFilterImage(const Image *image,const double radius,
ExceptionInfo *exception)
{
Image
*median_image;
median_image=StatisticImage(image,MedianStatistic,(size_t) radius,(size_t)
radius,exception);
return(median_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o d e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ModeImage() makes each pixel the 'predominant color' of the neighborhood
% of the specified radius.
%
% The format of the ModeImage method is:
%
% Image *ModeImage(const Image *image,const double radius,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ModeImage(const Image *image,const double radius,
ExceptionInfo *exception)
{
Image
*mode_image;
mode_image=StatisticImage(image,ModeStatistic,(size_t) radius,(size_t) radius,
exception);
return(mode_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o s a i c I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MosaicImages() Obsolete Function: Use MergeImageLayers() instead.
%
% Deprecated, replace with:
%
% MergeImageLayers(image,MosaicLayer,exception);
%
% The format of the MosaicImage method is:
%
% Image *MosaicImages(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image list to be composited together
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MosaicImages(Image *image,ExceptionInfo *exception)
{
return(MergeImageLayers(image,MosaicLayer,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% O p a q u e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OpaqueImage() changes any pixel that matches color with the color
% defined by fill.
%
% By default color must match a particular pixel color exactly. However,
% in many cases two colors may differ by a small amount. Fuzz defines
% how much tolerance is acceptable to consider two colors as the same.
% For example, set fuzz to 10 and the color red at intensities of 100 and
% 102 respectively are now interpreted as the same color.
%
% The format of the OpaqueImage method is:
%
% MagickBooleanType OpaqueImage(Image *image,
% const PixelPacket *target,const PixelPacket fill)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o target: the RGB value of the target color.
%
% o fill: the replacement color.
%
*/
MagickExport MagickBooleanType OpaqueImage(Image *image,
const PixelPacket target,const PixelPacket fill)
{
#define OpaqueImageTag "Opaque/Image"
MagickBooleanType
proceed;
register ssize_t
i;
ssize_t
y;
/*
Make image color opaque.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.1.0");
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
switch (image->storage_class)
{
case DirectClass:
default:
{
/*
Make DirectClass image opaque.
*/
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
q=GetAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if (q == (PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsColorSimilar(image,q,&target) != MagickFalse)
*q=fill;
q++;
}
if (SyncAuthenticPixels(image,&image->exception) == MagickFalse)
break;
proceed=SetImageProgress(image,OpaqueImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
break;
}
break;
}
case PseudoClass:
{
/*
Make PseudoClass image opaque.
*/
for (i=0; i < (ssize_t) image->colors; i++)
{
if (IsColorSimilar(image,&image->colormap[i],&target) != MagickFalse)
image->colormap[i]=fill;
}
if (fill.opacity != OpaqueOpacity)
{
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
q=GetAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if (q == (PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsColorSimilar(image,q,&target) != MagickFalse)
q->opacity=fill.opacity;
q++;
}
if (SyncAuthenticPixels(image,&image->exception) == MagickFalse)
break;
}
}
(void) SyncImage(image);
break;
}
}
if (fill.opacity != OpaqueOpacity)
image->matte=MagickTrue;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% O p e n C a c h e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OpenCacheView() opens a view into the pixel cache, using the
% VirtualPixelMethod that is defined within the given image itself.
%
% Deprecated, replace with:
%
% AcquireVirtualCacheView(image,&image->exception);
%
% The format of the OpenCacheView method is:
%
% CacheView *OpenCacheView(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport CacheView *OpenCacheView(const Image *image)
{
return(AcquireVirtualCacheView(image,&((Image *) image)->exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% O p e n M a g i c k S t r e a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% OpenMagickStream() opens the file at the specified path and return the
% associated stream.
%
% The path of the OpenMagickStream method is:
%
% FILE *OpenMagickStream(const char *path,const char *mode)
%
% A description of each parameter follows.
%
% o path: the file path.
%
% o mode: the file mode.
%
*/
#if defined(MAGICKCORE_HAVE__WFOPEN)
static size_t UTF8ToUTF16(const unsigned char *utf8,wchar_t *utf16)
{
register const unsigned char
*p;
if (utf16 != (wchar_t *) NULL)
{
register wchar_t
*q;
wchar_t
c;
/*
Convert UTF-8 to UTF-16.
*/
q=utf16;
for (p=utf8; *p != '\0'; p++)
{
if ((*p & 0x80) == 0)
*q=(*p);
else
if ((*p & 0xE0) == 0xC0)
{
c=(*p);
*q=(c & 0x1F) << 6;
p++;
if ((*p & 0xC0) != 0x80)
return(0);
*q|=(*p & 0x3F);
}
else
if ((*p & 0xF0) == 0xE0)
{
c=(*p);
*q=c << 12;
p++;
if ((*p & 0xC0) != 0x80)
return(0);
c=(*p);
*q|=(c & 0x3F) << 6;
p++;
if ((*p & 0xC0) != 0x80)
return(0);
*q|=(*p & 0x3F);
}
else
return(0);
q++;
}
*q++='\0';
return(q-utf16);
}
/*
Compute UTF-16 string length.
*/
for (p=utf8; *p != '\0'; p++)
{
if ((*p & 0x80) == 0)
;
else
if ((*p & 0xE0) == 0xC0)
{
p++;
if ((*p & 0xC0) != 0x80)
return(0);
}
else
if ((*p & 0xF0) == 0xE0)
{
p++;
if ((*p & 0xC0) != 0x80)
return(0);
p++;
if ((*p & 0xC0) != 0x80)
return(0);
}
else
return(0);
}
return(p-utf8);
}
static wchar_t *ConvertUTF8ToUTF16(const unsigned char *source)
{
size_t
length;
wchar_t
*utf16;
length=UTF8ToUTF16(source,(wchar_t *) NULL);
if (length == 0)
{
register ssize_t
i;
/*
Not UTF-8, just copy.
*/
length=strlen((const char *) source);
utf16=(wchar_t *) AcquireQuantumMemory(length+1,sizeof(*utf16));
if (utf16 == (wchar_t *) NULL)
return((wchar_t *) NULL);
for (i=0; i <= (ssize_t) length; i++)
utf16[i]=source[i];
return(utf16);
}
utf16=(wchar_t *) AcquireQuantumMemory(length+1,sizeof(*utf16));
if (utf16 == (wchar_t *) NULL)
return((wchar_t *) NULL);
length=UTF8ToUTF16(source,utf16);
return(utf16);
}
#endif
MagickExport FILE *OpenMagickStream(const char *path,const char *mode)
{
FILE
*file;
if ((path == (const char *) NULL) || (mode == (const char *) NULL))
{
errno=EINVAL;
return((FILE *) NULL);
}
file=(FILE *) NULL;
#if defined(MAGICKCORE_HAVE__WFOPEN)
{
wchar_t
*unicode_mode,
*unicode_path;
unicode_path=ConvertUTF8ToUTF16((const unsigned char *) path);
if (unicode_path == (wchar_t *) NULL)
return((FILE *) NULL);
unicode_mode=ConvertUTF8ToUTF16((const unsigned char *) mode);
if (unicode_mode == (wchar_t *) NULL)
{
unicode_path=(wchar_t *) RelinquishMagickMemory(unicode_path);
return((FILE *) NULL);
}
file=_wfopen(unicode_path,unicode_mode);
unicode_mode=(wchar_t *) RelinquishMagickMemory(unicode_mode);
unicode_path=(wchar_t *) RelinquishMagickMemory(unicode_path);
}
#endif
if (file == (FILE *) NULL)
file=fopen(path,mode);
return(file);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P a i n t F l o o d f i l l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PaintFloodfill() changes the color value of any pixel that matches
% target and is an immediate neighbor. If the method FillToBorderMethod is
% specified, the color value is changed for any neighbor pixel that does not
% match the bordercolor member of image.
%
% By default target must match a particular pixel color exactly.
% However, in many cases two colors may differ by a small amount. The
% fuzz member of image defines how much tolerance is acceptable to
% consider two colors as the same. For example, set fuzz to 10 and the
% color red at intensities of 100 and 102 respectively are now
% interpreted as the same color for the purposes of the floodfill.
%
% Deprecated, replace with:
%
% FloodfillPaintImage(image,channel,draw_info,target,x,y,
% method == FloodfillMethod ? MagickFalse : MagickTrue);
%
% The format of the PaintFloodfillImage method is:
%
% MagickBooleanType PaintFloodfillImage(Image *image,
% const ChannelType channel,const MagickPixelPacket target,
% const ssize_t x,const ssize_t y,const DrawInfo *draw_info,
% const PaintMethod method)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel(s).
%
% o target: the RGB value of the target color.
%
% o x,y: the starting location of the operation.
%
% o draw_info: the draw info.
%
% o method: Choose either FloodfillMethod or FillToBorderMethod.
%
*/
MagickExport MagickBooleanType PaintFloodfillImage(Image *image,
const ChannelType channel,const MagickPixelPacket *target,const ssize_t x,
const ssize_t y,const DrawInfo *draw_info,const PaintMethod method)
{
MagickBooleanType
status;
status=FloodfillPaintImage(image,channel,draw_info,target,x,y,
method == FloodfillMethod ? MagickFalse : MagickTrue);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% P a i n t O p a q u e I m a g e %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PaintOpaqueImage() changes any pixel that matches color with the color
% defined by fill.
%
% By default color must match a particular pixel color exactly. However,
% in many cases two colors may differ by a small amount. Fuzz defines
% how much tolerance is acceptable to consider two colors as the same.
% For example, set fuzz to 10 and the color red at intensities of 100 and
% 102 respectively are now interpreted as the same color.
%
% Deprecated, replace with:
%
% OpaquePaintImageChannel(image,DefaultChannels,target,fill,MagickFalse);
% OpaquePaintImageChannel(image,channel,target,fill,MagickFalse);
%
% The format of the PaintOpaqueImage method is:
%
% MagickBooleanType PaintOpaqueImage(Image *image,
% const PixelPacket *target,const PixelPacket *fill)
% MagickBooleanType PaintOpaqueImageChannel(Image *image,
% const ChannelType channel,const PixelPacket *target,
% const PixelPacket *fill)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel(s).
%
% o target: the RGB value of the target color.
%
% o fill: the replacement color.
%
*/
MagickExport MagickBooleanType PaintOpaqueImage(Image *image,
const MagickPixelPacket *target,const MagickPixelPacket *fill)
{
MagickBooleanType
status;
status=OpaquePaintImageChannel(image,DefaultChannels,target,fill,MagickFalse);
return(status);
}
MagickExport MagickBooleanType PaintOpaqueImageChannel(Image *image,
const ChannelType channel,const MagickPixelPacket *target,
const MagickPixelPacket *fill)
{
return(OpaquePaintImageChannel(image,channel,target,fill,MagickFalse));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P a i n t T r a n s p a r e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PaintTransparentImage() changes the opacity value associated with any pixel
% that matches color to the value defined by opacity.
%
% By default color must match a particular pixel color exactly. However,
% in many cases two colors may differ by a small amount. Fuzz defines
% how much tolerance is acceptable to consider two colors as the same.
% For example, set fuzz to 10 and the color red at intensities of 100 and
% 102 respectively are now interpreted as the same color.
%
% Deprecated, replace with:
%
% TransparentPaintImage(image,target,opacity,MagickFalse);
%
% The format of the PaintTransparentImage method is:
%
% MagickBooleanType PaintTransparentImage(Image *image,
% const MagickPixelPacket *target,const Quantum opacity)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o target: the RGB value of the target color.
%
% o opacity: the replacement opacity value.
%
*/
MagickExport MagickBooleanType PaintTransparentImage(Image *image,
const MagickPixelPacket *target,const Quantum opacity)
{
return(TransparentPaintImage(image,target,opacity,MagickFalse));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ P a r s e I m a g e G e o m e t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ParseImageGeometry() is similar to GetGeometry() except the returned
% geometry is modified as determined by the meta characters: %, !, <,
% and >.
%
% Deprecated, replace with:
%
% ParseMetaGeometry(geometry,x,y,width,height);
%
% The format of the ParseImageGeometry method is:
%
% int ParseImageGeometry(char *geometry,ssize_t *x,ssize_t *y,
% size_t *width,size_t *height)
%
% A description of each parameter follows:
%
% o flags: Method ParseImageGeometry returns a bitmask that indicates
% which of the four values were located in the geometry string.
%
% o image_geometry: Specifies a character string representing the geometry
% specification.
%
% o x,y: A pointer to an integer. The x and y offset as determined by
% the geometry specification is returned here.
%
% o width,height: A pointer to an unsigned integer. The width and height
% as determined by the geometry specification is returned here.
%
*/
MagickExport int ParseImageGeometry(const char *geometry,ssize_t *x,ssize_t *y,
size_t *width,size_t *height)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.1");
return((int) ParseMetaGeometry(geometry,x,y,width,height));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P a r s e S i z e G e o m e t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ParseSizeGeometry() returns a region as defined by the geometry string with
% respect to the image dimensions and aspect ratio.
%
% Deprecated, replace with:
%
% ParseMetaGeometry(geometry,®ion_info->x,®ion_info->y,
% ®ion_info->width,®ion_info->height);
%
% The format of the ParseSizeGeometry method is:
%
% MagickStatusType ParseSizeGeometry(const Image *image,
% const char *geometry,RectangeInfo *region_info)
%
% A description of each parameter follows:
%
% o geometry: The geometry (e.g. 100x100+10+10).
%
% o region_info: the region as defined by the geometry string.
%
*/
MagickExport MagickStatusType ParseSizeGeometry(const Image *image,
const char *geometry,RectangleInfo *region_info)
{
MagickStatusType
flags;
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.4.7");
SetGeometry(image,region_info);
flags=ParseMetaGeometry(geometry,®ion_info->x,®ion_info->y,
®ion_info->width,®ion_info->height);
return(flags);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o p I m a g e L i s t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PopImageList() removes the last image in the list.
%
% Deprecated, replace with:
%
% RemoveLastImageFromList(images);
%
% The format of the PopImageList method is:
%
% Image *PopImageList(Image **images)
%
% A description of each parameter follows:
%
% o images: the image list.
%
*/
MagickExport Image *PopImageList(Image **images)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
return(RemoveLastImageFromList(images));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o p I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PopImagePixels() transfers one or more pixel components from the image pixel
% cache to a user supplied buffer. The pixels are returned in network byte
% order. MagickTrue is returned if the pixels are successfully transferred,
% otherwise MagickFalse.
%
% The format of the PopImagePixels method is:
%
% size_t PopImagePixels(Image *,const QuantumType quantum,
% unsigned char *destination)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o quantum: Declare which pixel components to transfer (RGB, RGBA, etc).
%
% o destination: The components are transferred to this buffer.
%
*/
MagickExport size_t PopImagePixels(Image *image,const QuantumType quantum,
unsigned char *destination)
{
QuantumInfo
*quantum_info;
size_t
length;
quantum_info=AcquireQuantumInfo((const ImageInfo *) NULL,image);
if (quantum_info == (QuantumInfo *) NULL)
return(0);
length=ExportQuantumPixels(image,(const CacheView *) NULL,quantum_info,
quantum,destination,&image->exception);
quantum_info=DestroyQuantumInfo(quantum_info);
return(length);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P o s t s c r i p t G e o m e t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PostscriptGeometry() replaces any page mneumonic with the equivalent size in
% picas.
%
% Deprecated, replace with:
%
% GetPageGeometry(page);
%
% The format of the PostscriptGeometry method is:
%
% char *PostscriptGeometry(const char *page)
%
% A description of each parameter follows.
%
% o page: Specifies a pointer to an array of characters.
% The string is either a Postscript page name (e.g. A4) or a postscript
% page geometry (e.g. 612x792+36+36).
%
*/
MagickExport char *PostscriptGeometry(const char *page)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.1");
return(GetPageGeometry(page));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P u s h I m a g e L i s t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PushImageList() adds an image to the end of the list.
%
% Deprecated, replace with:
%
% AppendImageToList(images,CloneImageList(image,exception));
%
% The format of the PushImageList method is:
%
% unsigned int PushImageList(Image *images,const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image list.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport unsigned int PushImageList(Image **images,const Image *image,
ExceptionInfo *exception)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
AppendImageToList(images,CloneImageList(image,exception));
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% P u s h I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% PushImagePixels() transfers one or more pixel components from a user
% supplied buffer into the image pixel cache of an image. The pixels are
% expected in network byte order. It returns MagickTrue if the pixels are
% successfully transferred, otherwise MagickFalse.
%
% The format of the PushImagePixels method is:
%
% size_t PushImagePixels(Image *image,const QuantumType quantum,
% const unsigned char *source)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o quantum: Declare which pixel components to transfer (red, green, blue,
% opacity, RGB, or RGBA).
%
% o source: The pixel components are transferred from this buffer.
%
*/
MagickExport size_t PushImagePixels(Image *image,const QuantumType quantum,
const unsigned char *source)
{
QuantumInfo
*quantum_info;
size_t
length;
quantum_info=AcquireQuantumInfo((const ImageInfo *) NULL,image);
if (quantum_info == (QuantumInfo *) NULL)
return(0);
length=ImportQuantumPixels(image,(CacheView *) NULL,quantum_info,quantum,
source,&image->exception);
quantum_info=DestroyQuantumInfo(quantum_info);
return(length);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Q u a n t i z a t i o n E r r o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% QuantizationError() measures the difference between the original and
% quantized images. This difference is the total quantization error. The
% error is computed by summing over all pixels in an image the distance
% squared in RGB space between each reference pixel value and its quantized
% value. These values are computed:
%
% o mean_error_per_pixel: This value is the mean error for any single
% pixel in the image.
%
% o normalized_mean_square_error: This value is the normalized mean
% quantization error for any single pixel in the image. This distance
% measure is normalized to a range between 0 and 1. It is independent
% of the range of red, green, and blue values in the image.
%
% o normalized_maximum_square_error: Thsi value is the normalized
% maximum quantization error for any single pixel in the image. This
% distance measure is normalized to a range between 0 and 1. It is
% independent of the range of red, green, and blue values in your image.
%
% Deprecated, replace with:
%
% GetImageQuantizeError(image);
%
% The format of the QuantizationError method is:
%
% unsigned int QuantizationError(Image *image)
%
% A description of each parameter follows.
%
% o image: Specifies a pointer to an Image structure; returned from
% ReadImage.
%
*/
MagickExport unsigned int QuantizationError(Image *image)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.3");
return(GetImageQuantizeError(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R a d i a l B l u r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RadialBlurImage() applies a radial blur to the image.
%
% Andrew Protano contributed this effect.
%
% The format of the RadialBlurImage method is:
%
% Image *RadialBlurImage(const Image *image,const double angle,
% ExceptionInfo *exception)
% Image *RadialBlurImageChannel(const Image *image,const ChannelType channel,
% const double angle,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel type.
%
% o angle: the angle of the radial blur.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *RadialBlurImage(const Image *image,const double angle,
ExceptionInfo *exception)
{
return(RotationalBlurImage(image,angle,exception));
}
MagickExport Image *RadialBlurImageChannel(const Image *image,
const ChannelType channel,const double angle,ExceptionInfo *exception)
{
return(RotationalBlurImageChannel(image,channel,angle,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% R a n d o m C h a n n e l T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RandomChannelThresholdImage() changes the value of individual pixels based
% on the intensity of each pixel compared to a random threshold. The result
% is a low-contrast, two color image.
%
% The format of the RandomChannelThresholdImage method is:
%
% unsigned int RandomChannelThresholdImage(Image *image,
% const char *channel, const char *thresholds,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the channel or channels to be thresholded.
%
% o thresholds: a geometry string containing LOWxHIGH thresholds.
% If the string contains 2x2, 3x3, or 4x4, then an ordered
% dither of order 2, 3, or 4 will be performed instead.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport unsigned int RandomChannelThresholdImage(Image *image,
const char *channel,const char *thresholds,ExceptionInfo *exception)
{
#define RandomChannelThresholdImageText " RandomChannelThreshold image... "
double
lower_threshold,
upper_threshold;
RandomInfo
*random_info;
ssize_t
count,
y;
static MagickRealType
o2[4]={0.2f, 0.6f, 0.8f, 0.4f},
o3[9]={0.1f, 0.6f, 0.3f, 0.7f, 0.5f, 0.8f, 0.4f, 0.9f, 0.2f},
o4[16]={0.1f, 0.7f, 1.1f, 0.3f, 1.0f, 0.5f, 1.5f, 0.8f, 1.4f, 1.6f, 0.6f,
1.2f, 0.4f, 0.9f, 1.3f, 0.2f},
threshold=128;
size_t
order;
/*
Threshold 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 (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
if (thresholds == (const char *) NULL)
return(MagickTrue);
lower_threshold=0;
upper_threshold=0;
if (LocaleCompare(thresholds,"2x2") == 0)
order=2;
else
if (LocaleCompare(thresholds,"3x3") == 0)
order=3;
else
if (LocaleCompare(thresholds,"4x4") == 0)
order=4;
else
{
order=1;
count=(ssize_t) sscanf(thresholds,"%lf[/x%%]%lf",&lower_threshold,
&upper_threshold);
if (strchr(thresholds,'%') != (char *) NULL)
{
upper_threshold*=(.01*QuantumRange);
lower_threshold*=(.01*QuantumRange);
}
if (count == 1)
upper_threshold=(MagickRealType) QuantumRange-lower_threshold;
}
if (image->debug != MagickFalse)
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" RandomChannelThresholdImage: channel type=%s",channel);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TransformEvent,GetMagickModule(),
" Thresholds: %s (%fx%f)",thresholds,lower_threshold,upper_threshold);
if (LocaleCompare(channel,"all") == 0 ||
LocaleCompare(channel,"intensity") == 0)
if (AcquireImageColormap(image,2) == MagickFalse)
ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed",
image->filename);
random_info=AcquireRandomInfo();
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register IndexPacket
index,
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
q=GetAuthenticPixels(image,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
break;
if (LocaleCompare(channel,"all") == 0 ||
LocaleCompare(channel,"intensity") == 0)
{
indexes=GetAuthenticIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
intensity;
intensity=GetPixelIntensity(image,q);
if (order == 1)
{
if (intensity < lower_threshold)
threshold=lower_threshold;
else if (intensity > upper_threshold)
threshold=upper_threshold;
else
threshold=(MagickRealType) (QuantumRange*
GetPseudoRandomValue(random_info));
}
else if (order == 2)
threshold=(MagickRealType) QuantumRange*o2[(x%2)+2*(y%2)];
else if (order == 3)
threshold=(MagickRealType) QuantumRange*o3[(x%3)+3*(y%3)];
else if (order == 4)
threshold=(MagickRealType) QuantumRange*o4[(x%4)+4*(y%4)];
index=(IndexPacket) (intensity <= threshold ? 0 : 1);
SetPixelIndex(indexes+x,index);
SetPixelRGBO(q,image->colormap+(ssize_t) index);
q++;
}
}
if (LocaleCompare(channel,"opacity") == 0 ||
LocaleCompare(channel,"all") == 0 ||
LocaleCompare(channel,"matte") == 0)
{
if (image->matte != MagickFalse)
for (x=0; x < (ssize_t) image->columns; x++)
{
if (order == 1)
{
if ((MagickRealType) q->opacity < lower_threshold)
threshold=lower_threshold;
else if ((MagickRealType) q->opacity > upper_threshold)
threshold=upper_threshold;
else
threshold=(MagickRealType) (QuantumRange*
GetPseudoRandomValue(random_info));
}
else if (order == 2)
threshold=(MagickRealType) QuantumRange*o2[(x%2)+2*(y%2)];
else if (order == 3)
threshold=(MagickRealType) QuantumRange*o3[(x%3)+3*(y%3)];
else if (order == 4)
threshold=(MagickRealType) QuantumRange*o4[(x%4)+4*(y%4)]/1.7;
SetPixelOpacity(q,(MagickRealType) q->opacity <=
threshold ? 0 : QuantumRange);
q++;
}
}
else
{
/* To Do: red, green, blue, cyan, magenta, yellow, black */
if (LocaleCompare(channel,"intensity") != 0)
ThrowBinaryException(OptionError,"UnrecognizedChannelType",
image->filename);
}
if (SyncAuthenticPixels(image,exception) == MagickFalse)
break;
}
random_info=DestroyRandomInfo(random_info);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e a c q u i r e M e m o r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReacquireMemory() changes the size of the memory and returns a pointer to
% the (possibly moved) block. The contents will be unchanged up to the
% lesser of the new and old sizes.
%
% The format of the ReacquireMemory method is:
%
% void ReacquireMemory(void **memory,const size_t size)
%
% A description of each parameter follows:
%
% o memory: A pointer to a memory allocation. On return the pointer
% may change but the contents of the original allocation will not.
%
% o size: the new size of the allocated memory.
%
*/
MagickExport void ReacquireMemory(void **memory,const size_t size)
{
void
*allocation;
assert(memory != (void **) NULL);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
if (*memory == (void *) NULL)
{
*memory=AcquireMagickMemory(size);
return;
}
allocation=realloc(*memory,size);
if (allocation == (void *) NULL)
*memory=RelinquishMagickMemory(*memory);
*memory=allocation;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e c o l o r I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RecolorImage() apply color transformation to an image. The 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 RecolorImage method is:
%
% Image *RecolorImage(const Image *image,const size_t order,
% const double *color_matrix,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o order: the number of columns and rows in the recolor matrix.
%
% o color_matrix: An array of double representing the recolor matrix.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *RecolorImage(const Image *image,const size_t order,
const double *color_matrix,ExceptionInfo *exception)
{
KernelInfo
*kernel_info;
Image
*recolor_image;
kernel_info=AcquireKernelInfo("1");
if (kernel_info == (KernelInfo *) NULL)
return((Image *) NULL);
kernel_info->width=order;
kernel_info->height=order;
kernel_info->values=(double *) color_matrix;
recolor_image=ColorMatrixImage(image,kernel_info,exception);
kernel_info->values=(double *) NULL;
kernel_info=DestroyKernelInfo(kernel_info);
return(recolor_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e d u c e N o i s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReduceNoiseImage() smooths the contours of an image while still preserving
% edge information. The algorithm works by replacing each pixel with its
% neighbor closest in value. A neighbor is defined by radius. Use a radius
% of 0 and ReduceNoise() selects a suitable radius for you.
%
% The format of the ReduceNoiseImage method is:
%
% Image *ReduceNoiseImage(const Image *image,const double radius,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o radius: the radius of the pixel neighborhood.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ReduceNoiseImage(const Image *image,const double radius,
ExceptionInfo *exception)
{
Image
*reduce_image;
reduce_image=StatisticImage(image,NonpeakStatistic,(size_t) radius,(size_t)
radius,exception);
return(reduce_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e l i n g u i s h S e m a p h o r e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RelinquishSemaphoreInfo() relinquishes a semaphore.
%
% The format of the RelinquishSemaphoreInfo method is:
%
% RelinquishSemaphoreInfo(SemaphoreInfo *semaphore_info)
%
% A description of each parameter follows:
%
% o semaphore_info: Specifies a pointer to an SemaphoreInfo structure.
%
*/
MagickExport void RelinquishSemaphoreInfo(SemaphoreInfo *semaphore_info)
{
assert(semaphore_info != (SemaphoreInfo *) NULL);
UnlockSemaphoreInfo(semaphore_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s e t I m a g e A t t r i b u t e I t e r a t o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetImageAttributeIterator() resets the image attributes iterator. Use it
% in conjunction with GetNextImageAttribute() to iterate over all the values
% associated with an image.
%
% Deprecated, replace with:
%
% ResetImagePropertyIterator(image);
%
% The format of the ResetImageAttributeIterator method is:
%
% ResetImageAttributeIterator(const ImageInfo *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void ResetImageAttributeIterator(const Image *image)
{
ResetImagePropertyIterator(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t C a c h e V i e w P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetCacheViewPixels() gets pixels from the in-memory or disk pixel cache as
% defined by the geometry parameters. A pointer to the pixels is returned
% if the pixels are transferred, otherwise a NULL is returned.
%
% Deprecated, replace with:
%
% QueueCacheViewAuthenticPixels(cache_view,x,y,columns,rows,
% GetCacheViewException(cache_view));
%
% The format of the SetCacheViewPixels method is:
%
% PixelPacket *SetCacheViewPixels(CacheView *cache_view,const ssize_t x,
% const ssize_t y,const size_t columns,const size_t rows)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
*/
MagickExport PixelPacket *SetCacheViewPixels(CacheView *cache_view,const ssize_t x,
const ssize_t y,const size_t columns,const size_t rows)
{
PixelPacket
*pixels;
pixels=QueueCacheViewAuthenticPixels(cache_view,x,y,columns,rows,
GetCacheViewException(cache_view));
return(pixels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S e t C a c h e T h e s h o l d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetCacheThreshold() sets the amount of free memory allocated for the pixel
% cache. Once this threshold is exceeded, all subsequent pixels cache
% operations are to/from disk.
%
% The format of the SetCacheThreshold() method is:
%
% void SetCacheThreshold(const size_t threshold)
%
% A description of each parameter follows:
%
% o threshold: the number of megabytes of memory available to the pixel
% cache.
%
*/
MagickExport void SetCacheThreshold(const size_t size)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.1");
(void) SetMagickResourceLimit(MemoryResource,size*1024*1024);
(void) SetMagickResourceLimit(MapResource,2*size*1024*1024);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t E x c e p t i o n I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetExceptionInfo() sets the exception severity.
%
% The format of the SetExceptionInfo method is:
%
% MagickBooleanType SetExceptionInfo(ExceptionInfo *exception,
% ExceptionType severity)
%
% A description of each parameter follows:
%
% o exception: the exception info.
%
% o severity: the exception severity.
%
*/
MagickExport MagickBooleanType SetExceptionInfo(ExceptionInfo *exception,
ExceptionType severity)
{
assert(exception != (ExceptionInfo *) NULL);
ClearMagickException(exception);
exception->severity=severity;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImage() sets the red, green, and blue components of each pixel to
% the image background color and the opacity component to the specified
% level of transparency. The background color is defined by the
% background_color member of the image.
%
% The format of the SetImage method is:
%
% void SetImage(Image *image,const Quantum opacity)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o opacity: Set each pixel to this level of transparency.
%
*/
MagickExport void SetImage(Image *image,const Quantum opacity)
{
PixelPacket
background_color;
ssize_t
y;
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.2.0");
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
background_color=image->background_color;
if (opacity != OpaqueOpacity)
background_color.opacity=opacity;
if (background_color.opacity != OpaqueOpacity)
{
(void) SetImageStorageClass(image,DirectClass);
image->matte=MagickTrue;
}
if ((image->storage_class == PseudoClass) ||
(image->colorspace == CMYKColorspace))
{
/*
Set colormapped or CMYK image.
*/
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
q=QueueAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if (q == (PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRGBO(q,&background_color);
q++;
}
indexes=GetAuthenticIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
SetPixelIndex(indexes+x,0);
if (SyncAuthenticPixels(image,&image->exception) == MagickFalse)
break;
}
return;
}
/*
Set DirectClass image.
*/
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
q=QueueAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if (q == (PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRGBO(q,&background_color);
q++;
}
if (SyncAuthenticPixels(image,&image->exception) == MagickFalse)
break;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e A t t r i b u t e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageAttribute() searches the list of image attributes and replaces the
% attribute value. If it is not found in the list, the attribute name
% and value is added to the list.
%
% Deprecated, replace with:
%
% SetImageProperty(image,key,value);
%
% The format of the SetImageAttribute method is:
%
% MagickBooleanType SetImageAttribute(Image *image,const char *key,
% const char *value)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o key: the key.
%
% o value: the value.
%
*/
MagickExport MagickBooleanType SetImageAttribute(Image *image,const char *key,
const char *value)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.3.1");
return(SetImageProperty(image,key,value));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e L i s t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageList() inserts an image into the list at the specified position.
%
% The format of the SetImageList method is:
%
% unsigned int SetImageList(Image *images,const Image *image,
% const ssize_t offset,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image list.
%
% o image: the image.
%
% o offset: the position within the list.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport unsigned int SetImageList(Image **images,const Image *image,
const ssize_t offset,ExceptionInfo *exception)
{
Image
*clone;
register ssize_t
i;
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
clone=CloneImageList(image,exception);
while (GetPreviousImageInList(*images) != (Image *) NULL)
(*images)=GetPreviousImageInList(*images);
for (i=0; i < offset; i++)
{
if (GetNextImageInList(*images) == (Image *) NULL)
return(MagickFalse);
(*images)=GetNextImageInList(*images);
}
InsertImageInList(images,clone);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImagePixels() queues a mutable pixel region.
% If the region is successfully initialized a pointer to a PixelPacket
% array representing the region is returned, otherwise NULL is returned.
% The returned pointer may point to a temporary working buffer for the
% pixels or it may point to the final location of the pixels in memory.
%
% Write-only access means that any existing pixel values corresponding to
% the region are ignored. This useful while the initial image is being
% created from scratch, or if the existing pixel values are to be
% completely replaced without need to refer to their pre-existing values.
% The application is free to read and write the pixel buffer returned by
% SetImagePixels() any way it pleases. SetImagePixels() does not initialize
% the pixel array values. Initializing pixel array values is the
% application's responsibility.
%
% Performance is maximized if the selected region is part of one row, or
% one or more full rows, since then there is opportunity to access the
% pixels in-place (without a copy) if the image is in RAM, or in a
% memory-mapped file. The returned pointer should *never* be deallocated
% by the user.
%
% Pixels accessed via the returned pointer represent a simple array of type
% PixelPacket. If the image type is CMYK or the storage class is PseudoClass,
% call GetAuthenticIndexQueue() after invoking GetAuthenticPixels() to obtain
% the black color component or the colormap indexes (of type IndexPacket)
% corresponding to the region. Once the PixelPacket (and/or IndexPacket)
% array has been updated, the changes must be saved back to the underlying
% image using SyncAuthenticPixels() or they may be lost.
%
% Deprecated, replace with:
%
% QueueAuthenticPixels(image,x,y,columns,rows,&image->exception);
%
% The format of the SetImagePixels() method is:
%
% PixelPacket *SetImagePixels(Image *image,const ssize_t x,const ssize_t y,
% const size_t columns,const size_t rows)
%
% A description of each parameter follows:
%
% o pixels: SetImagePixels returns a pointer to the pixels if they are
% transferred, otherwise a NULL is returned.
%
% o image: the image.
%
% o x,y,columns,rows: These values define the perimeter of a region of
% pixels.
%
*/
MagickExport PixelPacket *SetImagePixels(Image *image,const ssize_t x,const ssize_t y,
const size_t columns,const size_t rows)
{
return(QueueAuthenticPixels(image,x,y,columns,rows,&image->exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t M a g i c k R e g i s t r y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetMagickRegistry() sets a blob into the registry and returns a unique ID.
% If an error occurs, -1 is returned.
%
% The format of the SetMagickRegistry method is:
%
% ssize_t SetMagickRegistry(const RegistryType type,const void *blob,
% const size_t length,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o type: the registry type.
%
% o blob: the address of a Binary Large OBject.
%
% o length: For a registry type of ImageRegistryType use sizeof(Image)
% otherise the blob length in number of bytes.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport ssize_t SetMagickRegistry(const RegistryType type,const void *blob,
const size_t magick_unused(length),ExceptionInfo *exception)
{
char
key[MaxTextExtent];
MagickBooleanType
status;
static ssize_t
id = 0;
magick_unreferenced(length);
(void) FormatLocaleString(key,MaxTextExtent,"%.20g\n",(double) id);
status=SetImageRegistry(type,key,blob,exception);
if (status == MagickFalse)
return(-1);
return(id++);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t M o n i t o r H a n d l e r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetMonitorHandler() sets the monitor handler to the specified method
% and returns the previous monitor handler.
%
% The format of the SetMonitorHandler method is:
%
% MonitorHandler SetMonitorHandler(MonitorHandler handler)
%
% A description of each parameter follows:
%
% o handler: Specifies a pointer to a method to handle monitors.
%
*/
MagickExport MonitorHandler GetMonitorHandler(void)
{
return(monitor_handler);
}
MagickExport MonitorHandler SetMonitorHandler(MonitorHandler handler)
{
MonitorHandler
previous_handler;
previous_handler=monitor_handler;
monitor_handler=handler;
return(previous_handler);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h i f t I m a g e L i s t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ShiftImageList() removes an image from the beginning of the list.
%
% Deprecated, replace with:
%
% RemoveFirstImageFromList(images);
%
% The format of the ShiftImageList method is:
%
% Image *ShiftImageList(Image **images)
%
% A description of each parameter follows:
%
% o images: the image list.
%
*/
MagickExport Image *ShiftImageList(Image **images)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
return(RemoveFirstImageFromList(images));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S i z e B l o b %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SizeBlob() returns the current length of the image file or blob.
%
% Deprecated, replace with:
%
% GetBlobSize(image);
%
% The format of the SizeBlob method is:
%
% off_t SizeBlob(Image *image)
%
% A description of each parameter follows:
%
% o size: Method SizeBlob returns the current length of the image file
% or blob.
%
% o image: the image.
%
*/
MagickExport MagickOffsetType SizeBlob(Image *image)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.4.3");
return((MagickOffsetType) GetBlobSize(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S p l i c e I m a g e L i s t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SpliceImageList() removes the images designated by offset and length from
% the list and replaces them with the specified list.
%
% The format of the SpliceImageList method is:
%
% Image *SpliceImageList(Image *images,const ssize_t offset,
% const size_t length,const Image *splices,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image list.
%
% o offset: the position within the list.
%
% o length: the length of the image list to remove.
%
% o splice: Replace the removed image list with this list.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SpliceImageList(Image *images,const ssize_t offset,
const size_t length,const Image *splices,ExceptionInfo *exception)
{
Image
*clone;
register ssize_t
i;
if (images->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
clone=CloneImageList(splices,exception);
while (GetPreviousImageInList(images) != (Image *) NULL)
images=GetPreviousImageInList(images);
for (i=0; i < offset; i++)
{
if (GetNextImageInList(images) == (Image *) NULL)
return((Image *) NULL);
images=GetNextImageInList(images);
}
(void) SpliceImageIntoList(&images,length,clone);
return(images);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% s R G B C o m p a n d o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% sRGBCompandor() adds the gamma function to a sRGB pixel.
%
% The format of the sRGBCompandor method is:
%
% MagickRealType sRGBCompandor(const MagickRealType pixel)
%
% A description of each parameter follows:
%
% o pixel: the pixel.
%
*/
MagickExport MagickRealType sRGBCompandor(const MagickRealType pixel)
{
if (pixel <= (0.0031306684425005883*QuantumRange))
return(12.92*pixel);
return(QuantumRange*(1.055*pow(QuantumScale*pixel,1.0/2.4)-0.055));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t r i p %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% Strip() strips any whitespace or quotes from the beginning and end of a
% string of characters.
%
% The format of the Strip method is:
%
% void Strip(char *message)
%
% A description of each parameter follows:
%
% o message: Specifies an array of characters.
%
*/
MagickExport void Strip(char *message)
{
register char
*p,
*q;
assert(message != (char *) NULL);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
if (*message == '\0')
return;
if (strlen(message) == 1)
return;
p=message;
while (isspace((int) ((unsigned char) *p)) != 0)
p++;
if ((*p == '\'') || (*p == '"'))
p++;
q=message+strlen(message)-1;
while ((isspace((int) ((unsigned char) *q)) != 0) && (q > p))
q--;
if (q > p)
if ((*q == '\'') || (*q == '"'))
q--;
(void) memcpy(message,p,(size_t) (q-p+1));
message[q-p+1]='\0';
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y n c C a c h e V i e w %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncCacheView() saves the cache view pixels to the in-memory or disk
% cache. It returns MagickTrue if the pixel region is synced, otherwise
% MagickFalse.
%
% Deprecated, replace with:
%
% SyncCacheViewAuthenticPixels(cache_view,GetCacheViewException(cache_view));
%
% The format of the SyncCacheView method is:
%
% MagickBooleanType SyncCacheView(CacheView *cache_view)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
*/
MagickExport MagickBooleanType SyncCacheView(CacheView *cache_view)
{
MagickBooleanType
status;
status=SyncCacheViewAuthenticPixels(cache_view,
GetCacheViewException(cache_view));
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y n c C a c h e V i e w P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncCacheViewPixels() saves the cache view pixels to the in-memory
% or disk cache. It returns MagickTrue if the pixel region is flushed,
% otherwise MagickFalse.
%
% Deprecated, replace with:
%
% SyncCacheViewAuthenticPixels(cache_view,GetCacheViewException(cache_view));
%
% The format of the SyncCacheViewPixels method is:
%
% MagickBooleanType SyncCacheViewPixels(CacheView *cache_view)
%
% A description of each parameter follows:
%
% o cache_view: the cache view.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SyncCacheViewPixels(CacheView *cache_view)
{
MagickBooleanType
status;
status=SyncCacheViewAuthenticPixels(cache_view,
GetCacheViewException(cache_view));
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y n c I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncImagePixels() saves the image pixels to the in-memory or disk cache.
% The method returns MagickTrue if the pixel region is synced, otherwise
% MagickFalse.
%
% Deprecated, replace with:
%
% SyncAuthenticPixels(image,&image->exception);
%
% The format of the SyncImagePixels() method is:
%
% MagickBooleanType SyncImagePixels(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType SyncImagePixels(Image *image)
{
return(SyncAuthenticPixels(image,&image->exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y s t e m C o m m a n d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SystemCommand() executes the specified command and waits until it
% terminates. The returned value is the exit status of the command.
%
% The format of the SystemCommand method is:
%
% int SystemCommand(const MagickBooleanType asynchronous,
% const MagickBooleanType verbose,const char *command,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o asynchronous: a value other than 0 executes the parent program
% concurrently with the new child process.
%
% o verbose: a value other than 0 prints the executed command before it is
% invoked.
%
% o command: this string is the command to execute.
%
% o exception: return any errors here.
%
*/
MagickExport int SystemCommand(const MagickBooleanType asynchronous,
const MagickBooleanType verbose,const char *command,ExceptionInfo *exception)
{
int
status;
status=ExternalDelegateCommand(asynchronous,verbose,command,(char *) NULL,
exception);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T e m p o r a r y F i l e n a m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TemporaryFilename() replaces the contents of path by a unique path name.
%
% The format of the TemporaryFilename method is:
%
% void TemporaryFilename(char *path)
%
% A description of each parameter follows.
%
% o path: Specifies a pointer to an array of characters. The unique path
% name is returned in this array.
%
*/
MagickExport void TemporaryFilename(char *path)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.6");
(void) AcquireUniqueFilename(path);
(void) RelinquishUniqueFileResource(path);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T h r e s h o l d I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ThresholdImage() changes the value of individual pixels based on
% the intensity of each pixel compared to threshold. The result is a
% high-contrast, two color image.
%
% The format of the ThresholdImage method is:
%
% unsigned int ThresholdImage(Image *image,const double threshold)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: Define the threshold value
%
*/
MagickExport unsigned int ThresholdImage(Image *image,const double threshold)
{
#define ThresholdImageTag "Threshold/Image"
IndexPacket
index;
ssize_t
y;
/*
Threshold image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.7");
if (!AcquireImageColormap(image,2))
ThrowBinaryImageException(ResourceLimitError,"MemoryAllocationFailed",
"UnableToThresholdImage");
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
q=GetAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if (q == (PixelPacket *) NULL)
break;
indexes=GetAuthenticIndexQueue(image);
for (x=0; x < (ssize_t) image->columns; x++)
{
index=(IndexPacket) (GetPixelIntensity(image,q) <=
threshold ? 0 : 1);
SetPixelIndex(indexes+x,index);
SetPixelRGBO(q,image->colormap+(ssize_t) index);
q++;
}
if (!SyncAuthenticPixels(image,&image->exception))
break;
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T h r e s h o l d I m a g e C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ThresholdImageChannel() changes the value of individual pixels based on
% the intensity of each pixel channel. The result is a high-contrast image.
%
% The format of the ThresholdImageChannel method is:
%
% unsigned int ThresholdImageChannel(Image *image,const char *threshold)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o threshold: define the threshold values.
%
*/
MagickExport unsigned int ThresholdImageChannel(Image *image,
const char *threshold)
{
#define ThresholdImageTag "Threshold/Image"
MagickPixelPacket
pixel;
GeometryInfo
geometry_info;
IndexPacket
index;
ssize_t
y;
unsigned int
flags;
/*
Threshold image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (threshold == (const char *) NULL)
return(MagickTrue);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
GetMagickPixelPacket(image,&pixel);
flags=ParseGeometry(threshold,&geometry_info);
pixel.red=geometry_info.rho;
if (flags & SigmaValue)
pixel.green=geometry_info.sigma;
else
pixel.green=pixel.red;
if (flags & XiValue)
pixel.blue=geometry_info.xi;
else
pixel.blue=pixel.red;
if (flags & PsiValue)
pixel.opacity=geometry_info.psi;
else
pixel.opacity=(MagickRealType) OpaqueOpacity;
if (flags & PercentValue)
{
pixel.red*=QuantumRange/100.0f;
pixel.green*=QuantumRange/100.0f;
pixel.blue*=QuantumRange/100.0f;
pixel.opacity*=QuantumRange/100.0f;
}
if (!(flags & SigmaValue))
{
if (!AcquireImageColormap(image,2))
ThrowBinaryImageException(ResourceLimitError,"MemoryAllocationFailed",
"UnableToThresholdImage");
if (pixel.red == 0)
(void) GetImageDynamicThreshold(image,2.0,2.0,&pixel,&image->exception);
}
for (y=0; y < (ssize_t) image->rows; y++)
{
register IndexPacket
*magick_restrict indexes;
register ssize_t
x;
register PixelPacket
*magick_restrict q;
q=GetAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if (q == (PixelPacket *) NULL)
break;
indexes=GetAuthenticIndexQueue(image);
if (IsMagickGray(&pixel) != MagickFalse)
for (x=0; x < (ssize_t) image->columns; x++)
{
index=(IndexPacket) (GetPixelIntensity(image,q) <= pixel.red ? 0 : 1);
SetPixelIndex(indexes+x,index);
SetPixelRed(q,image->colormap[(ssize_t) index].red);
SetPixelGreen(q,image->colormap[(ssize_t) index].green);
SetPixelBlue(q,image->colormap[(ssize_t) index].blue);
q++;
}
else
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,(MagickRealType) q->red <= pixel.red
? 0 : QuantumRange);
SetPixelGreen(q,(MagickRealType) q->green <= pixel.green
? 0 : QuantumRange);
SetPixelBlue(q,(MagickRealType) q->blue <= pixel.blue
? 0 : QuantumRange);
SetPixelOpacity(q,(MagickRealType) q->opacity <= pixel.opacity
? 0 : QuantumRange);
q++;
}
if (!SyncAuthenticPixels(image,&image->exception))
break;
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ T r a n s f o r m C o l o r s p a c e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransformColorspace() converts the image to a specified colorspace.
% If the image is already in the requested colorspace, no work is performed.
% Note that the current colorspace is stored in the image colorspace member.
% The transformation matrices are not necessarily the standard ones: the
% weights are rescaled to normalize the range of the transformed values to
% be [0..QuantumRange].
%
% Deprecated, replace with:
%
% TransformImageColorspace(image,colorspace);
%
% The format of the TransformColorspace method is:
%
% unsigned int (void) TransformColorspace(Image *image,
% const ColorspaceType colorspace)
%
% A description of each parameter follows:
%
% o image: the image to transform
%
% o colorspace: the desired colorspace.
%
*/
MagickExport unsigned int TransformColorspace(Image *image,
const ColorspaceType colorspace)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.6");
return(TransformImageColorspace(image,colorspace));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s f o r m H S L %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransformHSL() converts a (red, green, blue) to a (hue, saturation,
% lightness) triple.
%
% The format of the TransformHSL method is:
%
% void TransformHSL(const Quantum red,const Quantum green,
% const Quantum blue,double *hue,double *saturation,double *lightness)
%
% A description of each parameter follows:
%
% o red, green, blue: A Quantum value representing the red, green, and
% blue component of a pixel..
%
% o hue, saturation, lightness: A pointer to a double value representing a
% component of the HSL color space.
%
*/
MagickExport void TransformHSL(const Quantum red,const Quantum green,
const Quantum blue,double *hue,double *saturation,double *lightness)
{
MagickRealType
b,
delta,
g,
max,
min,
r;
/*
Convert RGB to HSL colorspace.
*/
assert(hue != (double *) NULL);
assert(saturation != (double *) NULL);
assert(lightness != (double *) NULL);
r=QuantumScale*red;
g=QuantumScale*green;
b=QuantumScale*blue;
max=MagickMax(r,MagickMax(g,b));
min=MagickMin(r,MagickMin(g,b));
*hue=0.0;
*saturation=0.0;
*lightness=(double) ((min+max)/2.0);
delta=max-min;
if (delta == 0.0)
return;
*saturation=(double) (delta/((*lightness < 0.5) ? (min+max) :
(2.0-max-min)));
if (r == max)
*hue=(double) (g == min ? 5.0+(max-b)/delta : 1.0-(max-g)/delta);
else
if (g == max)
*hue=(double) (b == min ? 1.0+(max-r)/delta : 3.0-(max-b)/delta);
else
*hue=(double) (r == min ? 3.0+(max-g)/delta : 5.0-(max-r)/delta);
*hue/=6.0;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s l a t e T e x t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TranslateText() replaces any embedded formatting characters with the
% appropriate image attribute and returns the translated text.
%
% Deprecated, replace with:
%
% InterpretImageProperties(image_info,image,embed_text);
%
% The format of the TranslateText method is:
%
% char *TranslateText(const ImageInfo *image_info,Image *image,
% const char *embed_text)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o image: the image.
%
% o embed_text: the address of a character string containing the embedded
% formatting characters.
%
*/
MagickExport char *TranslateText(const ImageInfo *image_info,Image *image,
const char *embed_text)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.2.6");
return(InterpretImageProperties(image_info,image,embed_text));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s p a r e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransparentImage() changes the opacity value associated with any pixel
% that matches color to the value defined by opacity.
%
% By default color must match a particular pixel color exactly. However,
% in many cases two colors may differ by a small amount. Fuzz defines
% how much tolerance is acceptable to consider two colors as the same.
% For example, set fuzz to 10 and the color red at intensities of 100 and
% 102 respectively are now interpreted as the same color.
%
% The format of the TransparentImage method is:
%
% MagickBooleanType TransparentImage(Image *image,
% const PixelPacket target,const Quantum opacity)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o target: the RGB value of the target color.
%
% o opacity: the replacement opacity value.
%
*/
MagickExport MagickBooleanType TransparentImage(Image *image,
const PixelPacket target,const Quantum opacity)
{
#define TransparentImageTag "Transparent/Image"
MagickBooleanType
proceed;
ssize_t
y;
/*
Make image color transparent.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v6.1.0");
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (image->matte == MagickFalse)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
for (y=0; y < (ssize_t) image->rows; y++)
{
register ssize_t
x;
register PixelPacket
*magick_restrict q;
q=GetAuthenticPixels(image,0,y,image->columns,1,&image->exception);
if (q == (PixelPacket *) NULL)
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
if (IsColorSimilar(image,q,&target) != MagickFalse)
q->opacity=opacity;
q++;
}
if (SyncAuthenticPixels(image,&image->exception) == MagickFalse)
break;
proceed=SetImageProgress(image,TransparentImageTag,(MagickOffsetType) y,
image->rows);
if (proceed == MagickFalse)
break;
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% U n s h i f t I m a g e L i s t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% UnshiftImageList() adds the image to the beginning of the list.
%
% Deprecated, replace with:
%
% PrependImageToList(images,CloneImageList(image,exception));
%
% The format of the UnshiftImageList method is:
%
% unsigned int UnshiftImageList(Image *images,const Image *image,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image list.
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport unsigned int UnshiftImageList(Image **images,const Image *image,
ExceptionInfo *exception)
{
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.5.2");
PrependImageToList(images,CloneImageList(image,exception));
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ V a l i d a t e C o l o r m a p I n d e x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ValidateColormapIndex() validates the colormap index. If the index does
% not range from 0 to the number of colors in the colormap an exception
% issued and 0 is returned.
%
% Deprecated, replace with:
%
% ConstrainColormapIndex(image,index);
%
% The format of the ValidateColormapIndex method is:
%
% IndexPacket ValidateColormapIndex(Image *image,const unsigned int index)
%
% A description of each parameter follows:
%
% o index: Method ValidateColormapIndex returns colormap index if it is
% valid other an exception issued and 0 is returned.
%
% o image: the image.
%
% o index: This integer is the colormap index.
%
*/
MagickExport IndexPacket ValidateColormapIndex(Image *image,
const size_t index)
{
if (image->debug != MagickFalse)
(void) LogMagickEvent(DeprecateEvent,GetMagickModule(),"last use: v5.4.4");
return(ConstrainColormapIndex(image,index));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% Z o o m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ZoomImage() creates a new image that is a scaled size of an existing one.
% It allocates the memory necessary for the new Image structure and returns a
% pointer to the new image. The Point filter gives fast pixel replication,
% Triangle is equivalent to bi-linear interpolation, and Mitchel giver slower,
% very high-quality results. See Graphic Gems III for details on this
% algorithm.
%
% The filter member of the Image structure specifies which image filter to
% use. Blur specifies the blur factor where > 1 is blurry, < 1 is sharp.
%
% The format of the ZoomImage method is:
%
% Image *ZoomImage(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: An integer that specifies the number of columns in the zoom
% image.
%
% o rows: An integer that specifies the number of rows in the scaled
% image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ZoomImage(const Image *image,const size_t columns,
const size_t rows,ExceptionInfo *exception)
{
Image
*zoom_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);
zoom_image=ResizeImage(image,columns,rows,image->filter,image->blur,
exception);
return(zoom_image);
}
#endif
|
jacobi-omp1.c | /*
* BSD 2-Clause License
*
* Copyright (c) 2020, Alessandro Capotondi
* 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.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/**
* @file jacobi.c
* @author Alessandro Capotondi
* @date 27 Mar 2020
* @brief This code solves the steady state heat equation on a rectangular region.
* This code solves the steady state heat equation on a rectangular region.
* The sequential version of this program needs approximately
* 18/epsilon iterations to complete.
* The physical region, and the boundary conditions, are suggested
* by this diagram;
* W = 0
* +------------------+
* | |
* W = 100 | | W = 100
* | |
* +------------------+
* W = 100
* The region is covered with a grid of M by N nodes, and an N by N
* array W is used to record the temperature. The correspondence between
* array indices and locations in the region is suggested by giving the
* indices of the four corners:
* I = 0
* [0][0]-------------[0][N-1]
* | |
* J = 0 | | J = N-1
* | |
* [M-1][0]-----------[M-1][N-1]
* I = M-1
* The steady state solution to the discrete heat equation satisfies the
* following condition at an interior grid point:
* W[Central] = (1/4) * ( W[North] + W[South] + W[East] + W[West] )
* where "Central" is the index of the grid point, "North" is the index
* of its immediate neighbor to the "north", and so on.
*
* Given an approximate solution of the steady state heat equation, a
* "better" solution is given by replacing each interior point by the
* average of its 4 neighbors - in other words, by using the condition
* as an ASSIGNMENT statement:
* W[Central] <= (1/4) * ( W[North] + W[South] + W[East] + W[West] )
* If this process is repeated often enough, the difference between successive
* estimates of the solution will go to zero.
* This program carries out such an iteration, using a tolerance specified by
* the user, and writes the final estimate of the solution to a file that can
* be used for graphic processing.
* icensing:
* This code is distributed under the GNU LGPL license.
* odified:
* 18 October 2011
* uthor:
* Original C version by Michael Quinn.
* This C version by John Burkardt.
* eference:
* Michael Quinn,
* Parallel Programming in C with MPI and OpenMP,
* McGraw-Hill, 2004,
* ISBN13: 978-0071232654,
* LC: QA76.73.C15.Q55.
* ocal parameters:
* Local, double DIFF, the norm of the change in the solution from one iteration
* to the next.
* Local, double MEAN, the average of the boundary values, used to initialize
* the values of the solution in the interior.
* Local, double U[M][N], the solution at the previous iteration.
* Local, double W[M][N], the solution computed at the latest iteration.
*
*
* @see https://en.wikipedia.org/wiki/Jacobi_method
* @see http://algo.ing.unimo.it/people/andrea/Didattica/HPC/index.html
*/
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/time.h>
#include "utils.h"
static int N;
static int MAX_ITERATIONS;
static int SEED;
static double CONVERGENCE_THRESHOLD;
static FILE *data;
#define SEPARATOR "------------------------------------\n"
// Return the current time in seconds since the Epoch
double get_timestamp();
// Parse command line arguments to set solver parameters
void parse_arguments(int argc, char *argv[]);
// Run the Jacobi solver
// Returns the number of iterations performed
int run(double *restrict A, double *restrict xtmp)
{
int iter = 0, iterations_print = 1;
double err = 0.0;
do
{
err = 0.0;
#pragma omp target map(to \
: A [0:N * N]) map(from \
: xtmp [0:N * N]) map(tofrom \
: err)
for (int i = 1; i < N - 1; i++)
{
for (int j = 1; j < N - 1; j++)
{
xtmp[i * N + j] = 0.25 * (A[(i - 1) * N + j] + A[(i + 1) * N + j] + A[i * N + j - 1] + A[i * N + j + 1]);
err = fmax(err, fabs(xtmp[i * N + j] - A[i * N + j]));
}
}
#pragma omp target map(to \
: xtmp [0:N * N]) map(from \
: A [0:N * N])
for (int i = 0; i < N; i++)
{
for (int j = 0; j < N; j++)
{
A[i * N + j] = xtmp[i * N + j];
}
}
iter++;
#ifdef DEBUG
if (iter == iterations_print)
{
printf(" %8d %f\n", iter, err);
iterations_print = 2 * iterations_print;
}
#endif
} while (err > CONVERGENCE_THRESHOLD && iter < MAX_ITERATIONS);
return iter;
}
int main(int argc, char *argv[])
{
parse_arguments(argc, argv);
double *A = malloc(N * N * sizeof(double));
double *xtmp = malloc(N * N * sizeof(double));
printf(SEPARATOR);
printf("Matrix size: %dx%d\n", N, N);
printf("Maximum iterations: %d\n", MAX_ITERATIONS);
printf("Convergence threshold: %lf\n", CONVERGENCE_THRESHOLD);
printf(SEPARATOR);
for (int ii = 0; ii < N; ii++)
{
for (int jj = 0; jj < N; jj++)
{
double f;
fread(&f, sizeof(double), 1, data);
A[ii * N + jj] = f;
}
}
// Run Jacobi solver
start_timer();
int itr = run(A, xtmp);
stop_timer();
printf("Iterations = %d\n", itr);
printf("Solver runtime = %lf ms\n", elapsed_ns() / 1E6);
if (itr == MAX_ITERATIONS)
printf("WARNING: solution did not converge\n");
printf(SEPARATOR);
free(A);
free(xtmp);
fclose(data);
return 0;
}
int parse_int(const char *str)
{
char *next;
int value = strtoul(str, &next, 10);
return strlen(next) ? -1 : value;
}
double parse_double(const char *str)
{
char *next;
double value = strtod(str, &next);
return strlen(next) ? -1 : value;
}
void parse_arguments(int argc, char *argv[])
{
// Set default values
N = 500;
MAX_ITERATIONS = 2000;
CONVERGENCE_THRESHOLD = 0.001;
SEED = 0;
for (int i = 1; i < argc; i++)
{
if (!strcmp(argv[i], "--convergence") || !strcmp(argv[i], "-c"))
{
if (++i >= argc || (CONVERGENCE_THRESHOLD = parse_double(argv[i])) < 0)
{
printf("Invalid convergence threshold\n");
exit(1);
}
}
else if (!strcmp(argv[i], "--iterations") || !strcmp(argv[i], "-i"))
{
if (++i >= argc || (MAX_ITERATIONS = parse_int(argv[i])) < 0)
{
printf("Invalid number of iterations\n");
exit(1);
}
}
else if (!strcmp(argv[i], "--norder") || !strcmp(argv[i], "-n"))
{
if (++i >= argc || (N = parse_int(argv[i])) < 0)
{
printf("Invalid matrix order\n");
exit(1);
}
}
else if (!strcmp(argv[i], "--help") || !strcmp(argv[i], "-h"))
{
printf("\n");
printf("Usage: ./jacobi [OPTIONS]\n\n");
printf("Options:\n");
printf(" -h --help Print this message\n");
printf(" -c --convergence C Set convergence threshold\n");
printf(" -i --iterations I Set maximum number of iterations\n");
printf(" -n --norder N Set maxtrix order (500 or 1000)\n");
printf("\n");
exit(0);
}
else
{
printf("Unrecognized argument '%s' (try '--help')\n", argv[i]);
exit(1);
}
}
if (N == 1000)
data = fopen("data/jacobi-1000.bin", "rb");
else if (N == 500)
data = fopen("data/jacobi-500.bin", "rb");
else
{
printf("Invalid matrix order\n");
exit(1);
}
}
|
GB_unop__acosh_fc64_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__acosh_fc64_fc64)
// op(A') function: GB (_unop_tran__acosh_fc64_fc64)
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// cast: GxB_FC64_t cij = aij
// unaryop: cij = cacosh (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 = cacosh (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] = cacosh (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ACOSH || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__acosh_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] = cacosh (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] = cacosh (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__acosh_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
|
GB_unaryop__lnot_uint64_int64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__lnot_uint64_int64
// op(A') function: GB_tran__lnot_uint64_int64
// C type: uint64_t
// A type: int64_t
// cast: uint64_t cij = (uint64_t) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
int64_t
#define GB_CTYPE \
uint64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, aij) \
uint64_t z = (uint64_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_LNOT || GxB_NO_UINT64 || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_uint64_int64
(
uint64_t *Cx, // Cx and Ax may be aliased
int64_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__lnot_uint64_int64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
urerfTree.h | #ifndef urerfTree_h
#define urerfTree_h
#include "../../../baseFunctions/fpBaseNode.h"
#include "unprocessedURerFNode.h"
#include <vector>
#include <map>
#include <assert.h>
#include <limits>
namespace fp{
template <typename T>
class urerfTree
{
protected:
float OOBAccuracy;
float totalOOB;
std::vector<std::vector<int> > indexAndVote;
std::vector< fpBaseNode<T, std::vector<int> > > tree;
std::vector< unprocessedURerFNode<T> > nodeQueue;
std::vector< unprocessedURerFNode<T> > leafNodes;
public:
urerfTree() : totalOOB(0){}
void loadFirstNode(){
nodeQueue.emplace_back(fpSingleton::getSingleton().returnNumObservations());
}
inline bool shouldProcessNode(){
if(nodeQueue.back().returnNodeImpurity() < std::numeric_limits<T>::epsilon())
return false;
if(nodeQueue.back().returnInSampleSize() <= fpSingleton::getSingleton().returnMinParent())
return false;
if(nodeQueue.back().returnDepth() >= fpSingleton::getSingleton().returnMaxDepth())
return false;
return true;
}
inline std::vector<std::vector<int> > returnOOBvotes(){
return indexAndVote;
}
inline int returnLastNodeID(){
return tree.size()-1;
}
inline void linkParentToChild(){
if(nodeQueue.back().returnIsLeftNode()){
tree[nodeQueue.back().returnParentID()].setLeftValue(returnLastNodeID());
}else{
tree[nodeQueue.back().returnParentID()].setRightValue(returnLastNodeID());
}
}
inline int returnMaxDepth(){
int maxDepth=0;
for(auto nodes : tree){
if(maxDepth < nodes.returnDepth()){
maxDepth = nodes.returnDepth();
}
}
return maxDepth;
}
inline int returnNumLeafNodes(){
int numLeafNodes=0;
for(auto nodes : tree){
if(!nodes.isInternalNode()){
++numLeafNodes;
}
}
return numLeafNodes;
}
inline void updateSimMat(std::map<int, std::map<int, int> > &simMat, std::map<std::pair<int, int>, double> &pairMat){
for(auto nodes : leafNodes){
stratifiedInNodeClassIndicesUnsupervised* obsI = nodes.returnObsIndices();
std::vector<int> leafObs;
std::vector<int> leafObsOut;
leafObs = obsI->returnInSampsVec();
leafObsOut = obsI->returnOutSampsVec();
auto siz = leafObs.size();
if (siz <= 0)
continue;
for(unsigned int i = 0; i < siz; ++i) {
for (unsigned int j=0; j<=i; ++j) {
std::pair<int, int> pair1 = std::make_pair(leafObs[i], leafObs[j]);
if(pairMat.count(pair1) > 0){
#pragma omp critical
{
pairMat[pair1]++;
}
}
else{
#pragma omp critical
{
pairMat.insert({pair1, 1});
}
}
}
}
}
}
inline void updateSimMatOut(std::map<int, std::map<int, int> > &simMat, std::map<std::pair<int, int>, double> &pairMat){
for(auto nodes : leafNodes){
stratifiedInNodeClassIndicesUnsupervised* obsI = nodes.returnObsIndices();
std::vector<int> leafObs;
leafObs = obsI->returnOutSampsVec();
auto siz = leafObs.size();
if (siz <= 0)
continue;
for(unsigned int i = 0; i < siz; ++i) {
for (unsigned int j=0; j<=i; ++j) {
std::pair<int, int> pair1 = std::make_pair(leafObs[i], leafObs[j]);
#pragma omp critical
{
auto it = pairMat.find(pair1);
if(it!=pairMat.end())
pairMat[pair1]++;
else
pairMat.insert({pair1, 1});
}
}
}
}
}
inline int returnLeafDepthSum(){
int leafDepthSums=0;
for(auto nodes : tree){
if(!nodes.isInternalNode()){
leafDepthSums += nodes.returnDepth();
}
}
return leafDepthSums;
}
inline void setAsLeaf(){
tree.back().setDepth(nodeQueue.back().returnDepth());
}
inline void makeWholeNodeALeaf(){
tree.emplace_back();
linkParentToChild();
setAsLeaf();
leafNodes.emplace_back(nodeQueue.back());
nodeQueue.pop_back();
}
void printTree(){
for(auto nd : tree){
nd.printNode();
}
}
inline void createNodeInTree(){
tree.emplace_back();
linkParentToChild();
tree.back().setCutValue(nodeQueue.back().returnBestCutValue());
tree.back().setFeatureValue(nodeQueue.back().returnBestFeature());
tree.back().setDepth(nodeQueue.back().returnDepth());
}
inline void makeNodeInternal(){
createNodeInTree();
createChildren();
}
inline bool isLeftNode(){
return true;
}
inline bool isRightNode(){
return false;
}
inline void createChildren(){
nodeQueue.back().moveDataLeftOrRight();
stratifiedInNodeClassIndicesUnsupervised* leftIndices = nodeQueue.back().returnLeftIndices();
stratifiedInNodeClassIndicesUnsupervised* rightIndices = nodeQueue.back().returnRightIndices();
assert(leftIndices->returnInSampleSize() > 0);
assert(rightIndices->returnInSampleSize() > 0);
int childDepth = nodeQueue.back().returnDepth()+1;
nodeQueue.pop_back();
nodeQueue.emplace_back(returnLastNodeID(),childDepth, isLeftNode());
nodeQueue.back().loadIndices(leftIndices);
nodeQueue.emplace_back(returnLastNodeID(),childDepth, isRightNode());
nodeQueue.back().loadIndices(rightIndices);
}
inline void findTheBestSplit(){
nodeQueue.back().findBestSplit();
}
inline bool noGoodSplitFound(){
if(nodeQueue.back().returnBestImpurity() == -1)
return true;
return nodeQueue.back().returnBestFeature().empty();
}
inline void processANode(){
// timeLogger logTime;
// logTime.startSortTimer();
nodeQueue.back().setupNode();
// logTime.stopSortTimer();
// logTime.startGiniTimer();
if(shouldProcessNode()){
findTheBestSplit();
if(noGoodSplitFound()){
makeWholeNodeALeaf();
}else{
makeNodeInternal();
}
}else{
makeWholeNodeALeaf();
}
// logTime.stopGiniTimer();
}
inline void processNodes(){
while(!nodeQueue.empty()){
processANode();
}
}
inline void growTree(){
loadFirstNode();
processNodes();
}
};
}//fp
#endif //urerfTree_h
|
depend-6.c | /* { dg-do compile } */
/* { dg-options "-fopenmp" } */
struct T { int c[3]; };
struct S { int a; struct T *b; struct T g; };
struct U { int a : 5; };
struct S d[10];
struct S *e[10];
struct S *f;
struct S h;
struct U i;
void
foo (void)
{
#pragma omp task depend(in: d[:2].b->c[2]) /* { dg-error "expected" } */
;
#pragma omp task depend(inout: d[1:].b->c[2]) /* { dg-error "expected" } */
;
#pragma omp task depend(out: d[0:1].a) /* { dg-error "expected" } */
;
#pragma omp task depend(in: e[3:2]->a) /* { dg-error "expected" } */
;
#pragma omp task depend(inout: e[2:2]->b->c) /* { dg-error "expected" } */
;
#pragma omp task depend(in: e[1]->b->c[2:1]) /* { dg-error "expected" } */
;
#pragma omp task depend(out: f + 0) /* { dg-error "not lvalue expression" } */
;
#pragma omp task depend(inout: f[0:1].a) /* { dg-error "expected" } */
;
#pragma omp task depend(inout: h.g.c[2:1]) /* { dg-error "expected" } */
;
#pragma omp task depend(in: i.a) /* { dg-error "bit-field '\[^\n\r]*' in 'depend' clause" } */
;
}
|
ssh_fmt_plug.c | /* "SSH private key cracker" patch for JtR. Hacked together during
* April of 2011 by Dhiru Kholia <dhiru.kholia at gmail.com> for GSoC.
*
* This software is Copyright (c) 2011, Dhiru Kholia <dhiru.kholia at gmail.com>,
* and it is hereby released to the general public under the following terms:
* Redistribution and use in source and binary forms, with or without modification,
* are permitted.
*
* This patch is inspired by the ssh-privkey-crack program.
* http://neophob.com/2007/10/ssh-private-key-cracker/
*
* Greets to Voxar, and David (February 2015)
*
* PEM_read_bio_PrivateKey and related OpenSSL functions are too high
* level for brute-forcing purposes. So we drill down and find suitable
* low-level OpenSSL functions. */
#include "arch.h"
#if !AC_BUILT || HAVE_BIO_NEW
#if FMT_EXTERNS_H
extern struct fmt_main fmt_ssh;
#elif FMT_REGISTERS_H
john_register_one(&fmt_ssh);
#else
#include <openssl/opensslv.h>
#include <openssl/crypto.h>
#include <openssl/ssl.h>
#include <openssl/bio.h>
#include <openssl/evp.h>
#include <openssl/pem.h>
#include <openssl/err.h>
#undef MEM_FREE
#include "options.h"
#ifdef _OPENMP
#include <omp.h>
#ifndef OMP_SCALE
#define OMP_SCALE 64
#endif
#endif
#include <string.h>
#include "common.h"
#include "formats.h"
#include "params.h"
#include "misc.h"
#include "dyna_salt.h"
#include "memdbg.h"
#define FORMAT_LABEL "SSH"
#define FORMAT_NAME ""
#define ALGORITHM_NAME "RSA/DSA/PEM 32/" ARCH_BITS_STR
#define BENCHMARK_COMMENT " (one 2048-bit RSA and one 1024-bit DSA key)"
#define BENCHMARK_LENGTH -1001
#define PLAINTEXT_LENGTH 32
#define BINARY_SIZE 0
#define SALT_SIZE sizeof(struct custom_salt*)
#define BINARY_ALIGN 1
#define SALT_ALIGN sizeof(struct custom_salt*)
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static int any_cracked, *cracked;
static size_t cracked_size;
static struct custom_salt {
dyna_salt dsalt;
long len;
char data[4096];
EVP_CIPHER_INFO cipher;
EVP_PKEY pk;
int type;
BIO *bp;
} *restored_custom_salt;
static struct fmt_tests ssh_tests[] = {
{"$ssh2$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*1743", "kingdom"},
{"$ssh2$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*771", "12345"},
/* following test vectors are from CMIYC 2012 */
{"$ssh2$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*1766", "Olympics"},
{"$ssh2$2d2d2d2d2d424547494e205253412050524956415445204b45592d2d2d2d2d0a50726f632d547970653a20342c454e435259505445440a44454b2d496e666f3a204145532d3132382d4342432c39323546413041324546373238334132463639433643453639313231443433430a0a424a68414b46483951464555714743682f63646764537649742f524d64374c76616d314737547a75534e6c6a767a533542524a4d474949377870675a752b77700a37657630357065762f2b77734e6565626d542f7969354c514e5664597563547141507366533953484d67575751386f68524c6e4458656330324e73355548624c0a6641526f39732b3675785a474e462b516576677238566d484d39657170556c7356655a69423131723230664c6c4246672f52454756774d4430416d39794a2b6a0a374d4238684d5035456a696c48626a73774a2b4f613277546c6335586c77792f4b6a37784e4233637441547057444c7755316f77735842495655737a5156416d0a4763534768647448426f5663356971477335552f45686e553275454351795a6441535a50706b43414268694b5147672b586553564c4c5a35624e4a5a50704e6c0a426c39522f7947794f347641645552534a676b726d4945556c693756394c6c784b4d7870374b656a305261644c594f6d4d71584d55536b464a3779456a4833540a31325655736f75797671426962302f53667a7557454f676e3643456359496564642b6f566b39674a4347474c56516751534c7772727661456a45454463726d6d0a6b316a2b7556776a3130663447316c586647416456544e3766484e39643731304b6846576761643477396a6c4536504d306c7a344d364d7363373845523245780a7372744a6a3679556c6c6c7859335a7258305a724a48696c5a484e734a467a776f4c394c4d37345436794e6732737634567a73304c7a4e74413045696c6c544e0a46415a307359343177452b5265705a6f4d47744d6b7968594a623349535577676e52417945756f64367365446e624b4b7a375550713858437451567a4d2b79380a746f5774373136574b6c4a7141763145394170612b634a39516847764570725565312b3848562b6641655774484650334b4f7257616b584c6a6d7163456a65750a73434e30496c3779746a7644366d7372477259546235416a6274586558346a473764364f703132347a35727467444254647a4866342b36465772554238434e610a36775849737550305a6f796771794d4d79485a495937382b70787538346e59315671464d3346344a7350714f6e4f61556a54643743482f6754527061347370680a4e5155554e327a305278476672513668574c46726872365051335176755a4e4e5042364d78475358775a485263447146344c697841724a316c556357683858520a4d316f696b43465031473256614e537968467549385262567772506a646d4177767250584556662f44452b723054716863336c647462694e425a37486d2f554d0a49764d526c4247304a35306366413649703741667048355356546b54734d37754a7955412f742b6968494f6f536347477a6a477945306c46334b71457754392b0a5230315a734b44313932696f37457a566a49535a73376f2b47494436643254716e6b4a4c4b65583236704e6e4738347068656f4e55652f4364303843504758700a6d2b50625638536f506a77765766376d4c3244366a483632622f687738467a2f312b6f67685343675a412f6f6232475a524c4f4a7a2b6156566e3638676f4b550a42796336786e4577303743636a2f46797033714f3957735971735a64566766766e32376e6b6344735732524876595237585770554552517145516341316273450a516b45523366376963546e72725a4d6470673368364c2f4966797454754849454e6450627331684558384e4a4f7470434753654464423979745a4e4e616a6d650a487146696b66725a3834354a386a3436317a41395452355764376d6f47762b4e2f4b6572737a5256354f65466970336d5675516a6e434b734c704731574c7a430a577a567235594e49662f776b525a687a2f723072374b3567566c524e5676356e413049306345696f71386f426e53494465552f595a533078695a384a545765710a4d4530655948526737373377577a74416665565079654d3947486e2b5633435241327433354434344c78724c76424c4c4f38672f4a615235456d56304867474c0a5343572b734b61514862476535596f384e3433302f2b744d6e65392b63776f495647302f6159396370506d4d676436796d4363707135555766737168316a494c0a4574535054654c386d4a473434526649696d39622f77527248716a4b744c4376696b694e2b6d4e547a4b6f784a656c5a4d69765172555a69725258502b34627a0a2d2d2d2d2d454e44205253412050524956415445204b45592d2d2d2d2d0a*1766", "C0Ld.FUS10N"},
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/* PKCS#8 format private keys */
{"$ssh2$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*1834*1", "12345"},
{"$ssh2$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*1041*1", "password"},
/* test.pem (PKCS #8 formatted) file from bwall */
{"$ssh2$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*2127*1", "komodia"},
{NULL}
};
struct fmt_main fmt_ssh;
static void ssl_init() {
static int init=0;
/* OpenSSL init, cleanup part is left to OS */
if (!init) {
init = 1;
SSL_load_error_strings();
SSL_library_init();
OpenSSL_add_all_algorithms();
}
}
static void init(struct fmt_main *self)
{
ssl_init();
#if defined(_OPENMP) && OPENSSL_VERSION_NUMBER >= 0x10000000
if (SSLeay() < 0x10000000) {
fprintf(stderr, "Warning: compiled against OpenSSL 1.0+, "
"but running with an older version -\n"
"disabling OpenMP for SSH because of thread-safety issues "
"of older OpenSSL\n");
fmt_ssh.params.min_keys_per_crypt = fmt_ssh.params.max_keys_per_crypt = 1;
fmt_ssh.params.flags &= ~FMT_OMP;
}
else {
int omp_t = 1;
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);
any_cracked = 0;
cracked_size = sizeof(*cracked) * self->params.max_keys_per_crypt;
cracked = mem_calloc(sizeof(*cracked), self->params.max_keys_per_crypt);
}
static void done(void)
{
MEM_FREE(cracked);
MEM_FREE(saved_key);
}
#define M_do_cipher(ctx, out, in, inl) ctx->cipher->do_cipher(ctx, out, in, inl)
int EVP_DecryptFinal_ex_safe(EVP_CIPHER_CTX *ctx, unsigned char *out, int *outl)
{
int i,n;
unsigned int b;
*outl=0;
#ifndef EVP_CIPH_FLAG_CUSTOM_CIPHER
#define EVP_CIPH_FLAG_CUSTOM_CIPHER 0x100000
#endif
if (ctx->cipher->flags & EVP_CIPH_FLAG_CUSTOM_CIPHER) {
i = M_do_cipher(ctx, out, NULL, 0);
if (i < 0)
return 0;
else
*outl = i;
return 1;
}
b=ctx->cipher->block_size;
#ifndef EVP_CIPH_NO_PADDING
#define EVP_CIPH_NO_PADDING 0x100
#endif
if (ctx->flags & EVP_CIPH_NO_PADDING) {
if(ctx->buf_len) {
return 0;
}
*outl = 0;
return 1;
}
if (b > 1) {
if (ctx->buf_len || !ctx->final_used) {
return(0);
}
OPENSSL_assert(b <= sizeof ctx->final);
n=ctx->final[b-1];
if (n == 0 || n > (int)b) {
return(0);
}
for (i=0; i<n; i++) {
if (ctx->final[--b] != n) {
return(0);
}
}
n=ctx->cipher->block_size-n;
for (i=0; i<n; i++)
out[i]=ctx->final[i];
*outl=n;
}
else
*outl=0;
return(1);
}
int PEM_do_header_safe(EVP_CIPHER_INFO *cipher, unsigned char *data, long *plen,
pem_password_cb *callback,void *u)
{
int i,j,o,klen;
long len;
EVP_CIPHER_CTX ctx;
unsigned char key[EVP_MAX_KEY_LENGTH];
char buf[PEM_BUFSIZE];
len= *plen;
if (cipher->cipher == NULL) return(1);
if (callback == NULL)
klen=PEM_def_callback(buf,PEM_BUFSIZE,0,u);
else
klen=callback(buf,PEM_BUFSIZE,0,u);
if (klen <= 0) {
return(0);
}
EVP_BytesToKey(cipher->cipher,EVP_md5(),&(cipher->iv[0]),
(unsigned char *)buf,klen,1,key,NULL);
j=(int)len;
EVP_CIPHER_CTX_init(&ctx);
EVP_DecryptInit_ex(&ctx,cipher->cipher,NULL, key,&(cipher->iv[0]));
EVP_DecryptUpdate(&ctx,data,&i,data,j);
o=EVP_DecryptFinal_ex_safe(&ctx,&(data[i]),&j);
EVP_CIPHER_CTX_cleanup(&ctx);
OPENSSL_cleanse((char *)buf,sizeof(buf));
OPENSSL_cleanse((char *)key,sizeof(key));
j+=i;
if (!o) {
return(0);
}
*plen=j;
return(1);
}
static void *get_salt(char *ciphertext)
{
struct custom_salt *psalt;
static unsigned char *ptr;
int i, filelength;
char *decoded_data;
char *copy = strdup(ciphertext);
char *encoded_data = strtokm(copy, "*");
char *nm = NULL, *header = NULL;
unsigned char *data = NULL;
char *t;
EVP_CIPHER_INFO cipher;
EVP_PKEY pk;
long len;
psalt = (struct custom_salt*)mem_calloc(sizeof(struct custom_salt), 1);
pk.type = 0;
pk.save_type = 0;
if (!ptr) ptr = mem_alloc_tiny(sizeof(struct custom_salt*),sizeof(struct custom_salt*));
if (!copy || !encoded_data) {
fprintf(stderr, "BUG in parsing ciphertext, aborting!\n");
error();
}
filelength = atou(strtokm(NULL, "*"));
t = strtokm(NULL, "*");
if (t)
psalt->type = atou(t);
encoded_data += 6; /* skip over "$ssh2$ marker */
decoded_data = (char *) mem_alloc(filelength + 1);
for (i = 0; i < filelength; i++)
decoded_data[i] =
atoi16[ARCH_INDEX(encoded_data[i * 2])] * 16 +
atoi16[ARCH_INDEX(encoded_data[i * 2 + 1])];
decoded_data[filelength] = 0;
/* load decoded data into OpenSSL structures */
if(psalt->bp == NULL)
psalt->bp = BIO_new(BIO_s_mem());
if (!psalt->bp) {
fprintf(stderr, "OpenSSL BIO allocation failure\n");
error();
}
BIO_write(psalt->bp, decoded_data, filelength);
if (psalt->type == 0) {
for (;;) {
if (!PEM_read_bio(psalt->bp, &nm, &header, &data, &len)) {
if (ERR_GET_REASON(ERR_peek_error()) ==
PEM_R_NO_START_LINE) {
ERR_print_errors_fp(stderr);
error();
}
return NULL;
}
/* PEM encoded DSA and RSA private keys are supported. */
if (!strcmp(nm, PEM_STRING_DSA)) {
pk.save_type = EVP_PKEY_DSA;
pk.type = EVP_PKEY_type(EVP_PKEY_DSA);
break;
}
if (!strcmp(nm, PEM_STRING_RSA)) {
pk.save_type = EVP_PKEY_RSA;
pk.type = EVP_PKEY_type(EVP_PKEY_RSA);
break;
}
OPENSSL_free(nm);
OPENSSL_free(header);
OPENSSL_free(data);
}
}
OPENSSL_free(nm);
if (psalt->type == 0 && !PEM_get_EVP_CIPHER_INFO(header, &cipher)) {
ERR_print_errors_fp(stderr);
error();
return NULL;
}
#ifdef SSH_FMT_DEBUG
printf("Header Information:\n%s\n", header);
#endif
OPENSSL_free(header);
/* save custom_salt information */
memcpy(&(psalt->cipher), &cipher, sizeof(cipher));
memcpy(&(psalt->pk), &pk, sizeof(pk));
if (psalt->type != 0) {
psalt->len = filelength;
memcpy(psalt->data, decoded_data, filelength);
} else {
memcpy(psalt->data, data, len);
psalt->len = len;
OPENSSL_free(data);
}
psalt->dsalt.salt_alloc_needs_free = 1;
// NOTE, we need some way to close the BIO and EVP crap!!
// set the JtR core linkage stuff for this dyna_salt
psalt->dsalt.salt_cmp_offset = SALT_CMP_OFF(struct custom_salt, len);
psalt->dsalt.salt_cmp_size = SALT_CMP_SIZE(struct custom_salt, len, cipher, 0);
BIO_free(psalt->bp);
MEM_FREE(copy);
MEM_FREE(decoded_data);
memcpy(ptr, &psalt, sizeof(struct custom_salt*));
return (void*)ptr;
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *ctcopy;
char *keeptr;
char *p;
char *dummy_salt;
int res;
int length;
if (strncmp(ciphertext, "$ssh2$", 6))
return 0;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += 6;
if ((p = strtokm(ctcopy, "*")) == NULL) /* data */
goto err;
if (!ishexlc(p))
goto err;
length = strlen(p);
if ((p = strtokm(NULL, "*")) == NULL) /* length */
goto err;
if (!isdecu(p))
goto err;
res = atou(p);
if(length != res * 2)
goto err;
p = strtokm(NULL, "*"); // type (optional)
ssl_init();
if (!(dummy_salt = (get_salt(ciphertext))))
goto err;
dyna_salt_remove(dummy_salt);
MEM_FREE(keeptr);
return 1;
err:
MEM_FREE(keeptr);
return 0;
}
static void set_salt(void *salt)
{
/* restore custom_salt back */
restored_custom_salt = *((struct custom_salt **)salt);
}
static void ssh_set_key(char *key, int index)
{
int len = strlen(key);
if (len > PLAINTEXT_LENGTH)
len = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, len);
saved_key[index][len] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
int count = *pcount;
int index = 0;
if (any_cracked) {
memset(cracked, 0, cracked_size);
any_cracked = 0;
}
#if defined(_OPENMP) && OPENSSL_VERSION_NUMBER >= 0x10000000
#pragma omp parallel for default(none) private(index) shared(count, any_cracked, cracked, saved_key, restored_custom_salt)
for (index = 0; index < count; index++)
#endif
{
if(restored_custom_salt->type == 0) {
/* copy restored items into working copy */
unsigned char working_data[4096];
long working_len = restored_custom_salt->len;
EVP_CIPHER_INFO cipher = restored_custom_salt->cipher;
EVP_PKEY pk = restored_custom_salt->pk;
const char unsigned *dc = working_data;
DSA *dsapkc = NULL;
RSA *rsapkc = NULL;
memcpy(working_data, restored_custom_salt->data, working_len);
if (PEM_do_header_safe(&cipher, working_data, &working_len, NULL,
(char *) saved_key[index])) {
if (pk.save_type == EVP_PKEY_DSA) {
if ((dsapkc = d2i_DSAPrivateKey(NULL, &dc, working_len)) != NULL) {
DSA_free(dsapkc);
{
cracked[index] = 1;
#if defined(_OPENMP) && OPENSSL_VERSION_NUMBER >= 0x10000000
#pragma omp atomic
#endif
any_cracked |= 1;
}
}
} else if (pk.save_type == EVP_PKEY_RSA) {
if ((rsapkc = d2i_RSAPrivateKey(NULL, &dc, working_len)) != NULL) {
RSA_free(rsapkc);
{
cracked[index] = 1;
#if defined(_OPENMP) && OPENSSL_VERSION_NUMBER >= 0x10000000
#pragma omp atomic
#endif
any_cracked |= 1;
}
}
}
}
}
else {
EVP_PKEY *key = NULL;
BIO *bp = BIO_new(BIO_s_mem());
BIO_write(bp, restored_custom_salt->data, restored_custom_salt->len);
key = PEM_read_bio_PrivateKey(bp, NULL, 0, saved_key[index]);
BIO_free(bp);
if(key) {
EVP_PKEY_free(key);
cracked[index] = 1;
#if defined(_OPENMP) && OPENSSL_VERSION_NUMBER >= 0x10000000
#pragma omp atomic
#endif
any_cracked |= 1;
}
}
}
return count;
}
static int cmp_all(void *binary, int count)
{
return any_cracked;
}
static int cmp_one(void *binary, int index)
{
return cracked[index];
}
static int cmp_exact(char *source, int index)
{
return cracked[index];
}
struct fmt_main fmt_ssh = {
{
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,
#if defined(_OPENMP) && OPENSSL_VERSION_NUMBER >= 0x10000000
FMT_OMP |
#endif
FMT_CASE | FMT_8_BIT | FMT_DYNA_SALT,
{ NULL },
ssh_tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
fmt_default_binary,
get_salt,
{ NULL },
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_dyna_salt_hash,
NULL,
set_salt,
ssh_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_BIO_NEW */
|
nvptx_asm_delayed_diags.c | // RUN: %clang_cc1 -fopenmp -x c -triple i386-unknown-unknown -fopenmp-targets=nvptx-nvidia-cuda -emit-llvm-bc %s -o %t-x86-host.bc
// RUN: %clang_cc1 -verify -fopenmp -x c -triple nvptx-unknown-unknown -fopenmp-targets=nvptx-nvidia-cuda %s -fopenmp-is-device -fopenmp-host-ir-file-path %t-x86-host.bc -fsyntax-only
// RUN: %clang_cc1 -verify -DDIAGS -DIMMEDIATE -fopenmp -x c -triple nvptx-unknown-unknown -fopenmp-targets=nvptx-nvidia-cuda %s -fopenmp-is-device -fopenmp-host-ir-file-path %t-x86-host.bc -fsyntax-only
// RUN: %clang_cc1 -verify -DDIAGS -DDELAYED -fopenmp -x c -triple nvptx-unknown-unknown -fopenmp-targets=nvptx-nvidia-cuda %s -fopenmp-is-device -fopenmp-host-ir-file-path %t-x86-host.bc -fsyntax-only
// REQUIRES: x86-registered-target
// REQUIRES: nvptx-registered-target
#ifndef DIAGS
// expected-no-diagnostics
#endif // DIAGS
#ifdef IMMEDIATE
#pragma omp declare target
#endif //IMMEDIATE
void t1(int r) {
#ifdef DIAGS
// expected-error@+4 {{invalid input constraint 'mx' in asm}}
#endif // DIAGS
__asm__("PR3908 %[lf] %[xx] %[li] %[r]"
: [ r ] "+r"(r)
: [ lf ] "mx"(0), [ li ] "mr"(0), [ xx ] "x"((double)(0)));
}
unsigned t2(signed char input) {
unsigned output;
#ifdef DIAGS
// expected-error@+3 {{invalid output constraint '=a' in asm}}
#endif // DIAGS
__asm__("xyz"
: "=a"(output)
: "0"(input));
return output;
}
double t3(double x) {
register long double result;
#ifdef DIAGS
// expected-error@+3 {{invalid output constraint '=t' in asm}}
#endif // DIAGS
__asm __volatile("frndint"
: "=t"(result)
: "0"(x));
return result;
}
unsigned char t4(unsigned char a, unsigned char b) {
unsigned int la = a;
unsigned int lb = b;
unsigned int bigres;
unsigned char res;
#ifdef DIAGS
// expected-error@+3 {{invalid output constraint '=la' in asm}}
#endif // DIAGS
__asm__("0:\n1:\n"
: [ bigres ] "=la"(bigres)
: [ la ] "0"(la), [ lb ] "c"(lb)
: "edx", "cc");
res = bigres;
return res;
}
void t5(void) {
#ifdef DIAGS
// expected-error@+6 {{unknown register name 'st' in asm}}
#endif // DIAGS
__asm__ __volatile__(
"finit"
:
:
: "st", "st(1)", "st(2)", "st(3)",
"st(4)", "st(5)", "st(6)", "st(7)",
"fpsr", "fpcr");
}
typedef long long __m256i __attribute__((__vector_size__(32)));
void t6(__m256i *p) {
#ifdef DIAGS
// expected-error@+3 {{unknown register name 'ymm0' in asm}}
#endif // DIAGS
__asm__ volatile("vmovaps %0, %%ymm0" ::"m"(*(__m256i *)p)
: "ymm0");
}
#ifdef IMMEDIATE
#pragma omp end declare target
#endif //IMMEDIATE
int main() {
#ifdef DELAYED
#pragma omp target
#endif // DELAYED
{
#ifdef DELAYED
// expected-note@+2 {{called by 'main'}}
#endif // DELAYED
t1(0);
#ifdef DELAYED
// expected-note@+2 {{called by 'main'}}
#endif // DELAYED
t2(0);
#ifdef DELAYED
// expected-note@+2 {{called by 'main'}}
#endif // DELAYED
t3(0);
#ifdef DELAYED
// expected-note@+2 {{called by 'main'}}
#endif // DELAYED
t4(0, 0);
#ifdef DELAYED
// expected-note@+2 {{called by 'main'}}
#endif // DELAYED
t5();
#ifdef DELAYED
// expected-note@+2 {{called by 'main'}}
#endif // DELAYED
t6(0);
}
return 0;
}
|
matrix.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M M AAA TTTTT RRRR IIIII X X %
% MM MM A A T R R I X X %
% M M M AAAAA T RRRR I X %
% M M A A T R R I X X %
% M M A A T R R IIIII X X %
% %
% %
% MagickCore Matrix Methods %
% %
% Software Design %
% Cristy %
% August 2007 %
% %
% %
% Copyright 1999-2020 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/blob.h"
#include "magick/blob-private.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/image-private.h"
#include "magick/matrix.h"
#include "magick/memory_.h"
#include "magick/pixel-private.h"
#include "magick/resource_.h"
#include "magick/semaphore.h"
#include "magick/thread-private.h"
#include "magick/utility.h"
/*
Typedef declaration.
*/
struct _MatrixInfo
{
CacheType
type;
size_t
columns,
rows,
stride;
MagickSizeType
length;
MagickBooleanType
mapped,
synchronize;
char
path[MaxTextExtent];
int
file;
void
*elements;
SemaphoreInfo
*semaphore;
size_t
signature;
};
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e M a t r i x I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireMatrixInfo() allocates the ImageInfo structure.
%
% The format of the AcquireMatrixInfo method is:
%
% MatrixInfo *AcquireMatrixInfo(const size_t columns,const size_t rows,
% const size_t stride,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o columns: the matrix columns.
%
% o rows: the matrix rows.
%
% o stride: the matrix stride.
%
% o exception: return any errors or warnings in this structure.
%
*/
#if defined(SIGBUS)
static void MatrixSignalHandler(int status)
{
ThrowFatalException(CacheFatalError,"UnableToExtendMatrixCache");
}
#endif
static inline MagickOffsetType WriteMatrixElements(
const MatrixInfo *magick_restrict matrix_info,const MagickOffsetType offset,
const MagickSizeType length,const unsigned char *magick_restrict buffer)
{
register MagickOffsetType
i;
ssize_t
count;
#if !defined(MAGICKCORE_HAVE_PWRITE)
LockSemaphoreInfo(matrix_info->semaphore);
if (lseek(matrix_info->file,offset,SEEK_SET) < 0)
{
UnlockSemaphoreInfo(matrix_info->semaphore);
return((MagickOffsetType) -1);
}
#endif
count=0;
for (i=0; i < (MagickOffsetType) length; i+=count)
{
#if !defined(MAGICKCORE_HAVE_PWRITE)
count=write(matrix_info->file,buffer+i,(size_t) MagickMin(length-i,
(MagickSizeType) SSIZE_MAX));
#else
count=pwrite(matrix_info->file,buffer+i,(size_t) MagickMin(length-i,
(MagickSizeType) SSIZE_MAX),(off_t) (offset+i));
#endif
if (count <= 0)
{
count=0;
if (errno != EINTR)
break;
}
}
#if !defined(MAGICKCORE_HAVE_PWRITE)
UnlockSemaphoreInfo(matrix_info->semaphore);
#endif
return(i);
}
static MagickBooleanType SetMatrixExtent(
MatrixInfo *magick_restrict matrix_info,MagickSizeType length)
{
MagickOffsetType
count,
extent,
offset;
if (length != (MagickSizeType) ((MagickOffsetType) length))
return(MagickFalse);
offset=(MagickOffsetType) lseek(matrix_info->file,0,SEEK_END);
if (offset < 0)
return(MagickFalse);
if ((MagickSizeType) offset >= length)
return(MagickTrue);
extent=(MagickOffsetType) length-1;
count=WriteMatrixElements(matrix_info,extent,1,(const unsigned char *) "");
#if defined(MAGICKCORE_HAVE_POSIX_FALLOCATE)
if (matrix_info->synchronize != MagickFalse)
(void) posix_fallocate(matrix_info->file,offset+1,extent-offset);
#endif
#if defined(SIGBUS)
(void) signal(SIGBUS,MatrixSignalHandler);
#endif
return(count != (MagickOffsetType) 1 ? MagickFalse : MagickTrue);
}
MagickExport MatrixInfo *AcquireMatrixInfo(const size_t columns,
const size_t rows,const size_t stride,ExceptionInfo *exception)
{
char
*synchronize;
MagickBooleanType
status;
MatrixInfo
*matrix_info;
matrix_info=(MatrixInfo *) AcquireMagickMemory(sizeof(*matrix_info));
if (matrix_info == (MatrixInfo *) NULL)
return((MatrixInfo *) NULL);
(void) memset(matrix_info,0,sizeof(*matrix_info));
matrix_info->signature=MagickCoreSignature;
matrix_info->columns=columns;
matrix_info->rows=rows;
matrix_info->stride=stride;
matrix_info->semaphore=AllocateSemaphoreInfo();
synchronize=GetEnvironmentValue("MAGICK_SYNCHRONIZE");
if (synchronize != (const char *) NULL)
{
matrix_info->synchronize=IsStringTrue(synchronize);
synchronize=DestroyString(synchronize);
}
matrix_info->length=(MagickSizeType) columns*rows*stride;
if (matrix_info->columns != (size_t) (matrix_info->length/rows/stride))
{
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"CacheResourcesExhausted","`%s'","matrix cache");
return(DestroyMatrixInfo(matrix_info));
}
matrix_info->type=MemoryCache;
status=AcquireMagickResource(AreaResource,matrix_info->length);
if ((status != MagickFalse) &&
(matrix_info->length == (MagickSizeType) ((size_t) matrix_info->length)))
{
status=AcquireMagickResource(MemoryResource,matrix_info->length);
if (status != MagickFalse)
{
matrix_info->mapped=MagickFalse;
matrix_info->elements=AcquireMagickMemory((size_t)
matrix_info->length);
if (matrix_info->elements == NULL)
{
matrix_info->mapped=MagickTrue;
matrix_info->elements=MapBlob(-1,IOMode,0,(size_t)
matrix_info->length);
}
if (matrix_info->elements == (unsigned short *) NULL)
RelinquishMagickResource(MemoryResource,matrix_info->length);
}
}
matrix_info->file=(-1);
if (matrix_info->elements == (unsigned short *) NULL)
{
status=AcquireMagickResource(DiskResource,matrix_info->length);
if (status == MagickFalse)
{
(void) ThrowMagickException(exception,GetMagickModule(),CacheError,
"CacheResourcesExhausted","`%s'","matrix cache");
return(DestroyMatrixInfo(matrix_info));
}
matrix_info->type=DiskCache;
matrix_info->file=AcquireUniqueFileResource(matrix_info->path);
if (matrix_info->file == -1)
return(DestroyMatrixInfo(matrix_info));
status=AcquireMagickResource(MapResource,matrix_info->length);
if (status != MagickFalse)
{
status=SetMatrixExtent(matrix_info,matrix_info->length);
if (status != MagickFalse)
matrix_info->elements=(void *) MapBlob(matrix_info->file,IOMode,0,
(size_t) matrix_info->length);
if (matrix_info->elements != NULL)
matrix_info->type=MapCache;
else
RelinquishMagickResource(MapResource,matrix_info->length);
}
}
return(matrix_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e M a g i c k M a t r i x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireMagickMatrix() allocates and returns a matrix in the form of an
% array of pointers to an array of doubles, with all values pre-set to zero.
%
% This used to generate the two dimensional matrix, and vectors required
% for the GaussJordanElimination() method below, solving some system of
% simultanious equations.
%
% The format of the AcquireMagickMatrix method is:
%
% double **AcquireMagickMatrix(const size_t number_rows,
% const size_t size)
%
% A description of each parameter follows:
%
% o number_rows: the number pointers for the array of pointers
% (first dimension).
%
% o size: the size of the array of doubles each pointer points to
% (second dimension).
%
*/
MagickExport double **AcquireMagickMatrix(const size_t number_rows,
const size_t size)
{
double
**matrix;
register ssize_t
i,
j;
matrix=(double **) AcquireQuantumMemory(number_rows,sizeof(*matrix));
if (matrix == (double **) NULL)
return((double **) NULL);
for (i=0; i < (ssize_t) number_rows; i++)
{
matrix[i]=(double *) AcquireQuantumMemory(size,sizeof(*matrix[i]));
if (matrix[i] == (double *) NULL)
{
for (j=0; j < i; j++)
matrix[j]=(double *) RelinquishMagickMemory(matrix[j]);
matrix=(double **) RelinquishMagickMemory(matrix);
return((double **) NULL);
}
for (j=0; j < (ssize_t) size; j++)
matrix[i][j]=0.0;
}
return(matrix);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y M a t r i x I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyMatrixInfo() dereferences a matrix, deallocating memory associated
% with the matrix.
%
% The format of the DestroyImage method is:
%
% MatrixInfo *DestroyMatrixInfo(MatrixInfo *matrix_info)
%
% A description of each parameter follows:
%
% o matrix_info: the matrix.
%
*/
MagickExport MatrixInfo *DestroyMatrixInfo(MatrixInfo *matrix_info)
{
assert(matrix_info != (MatrixInfo *) NULL);
assert(matrix_info->signature == MagickCoreSignature);
LockSemaphoreInfo(matrix_info->semaphore);
switch (matrix_info->type)
{
case MemoryCache:
{
if (matrix_info->mapped == MagickFalse)
matrix_info->elements=RelinquishMagickMemory(matrix_info->elements);
else
{
(void) UnmapBlob(matrix_info->elements,(size_t) matrix_info->length);
matrix_info->elements=(unsigned short *) NULL;
}
RelinquishMagickResource(MemoryResource,matrix_info->length);
break;
}
case MapCache:
{
(void) UnmapBlob(matrix_info->elements,(size_t) matrix_info->length);
matrix_info->elements=NULL;
RelinquishMagickResource(MapResource,matrix_info->length);
}
case DiskCache:
{
if (matrix_info->file != -1)
(void) close(matrix_info->file);
(void) RelinquishUniqueFileResource(matrix_info->path);
RelinquishMagickResource(DiskResource,matrix_info->length);
break;
}
default:
break;
}
UnlockSemaphoreInfo(matrix_info->semaphore);
DestroySemaphoreInfo(&matrix_info->semaphore);
return((MatrixInfo *) RelinquishMagickMemory(matrix_info));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G a u s s J o r d a n E l i m i n a t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GaussJordanElimination() returns a matrix in reduced row echelon form,
% while simultaneously reducing and thus solving the augumented results
% matrix.
%
% See also http://en.wikipedia.org/wiki/Gauss-Jordan_elimination
%
% The format of the GaussJordanElimination method is:
%
% MagickBooleanType GaussJordanElimination(double **matrix,
% double **vectors,const size_t rank,const size_t number_vectors)
%
% A description of each parameter follows:
%
% o matrix: the matrix to be reduced, as an 'array of row pointers'.
%
% o vectors: the additional matrix argumenting the matrix for row reduction.
% Producing an 'array of column vectors'.
%
% o rank: The size of the matrix (both rows and columns). Also represents
% the number terms that need to be solved.
%
% o number_vectors: Number of vectors columns, argumenting the above matrix.
% Usually 1, but can be more for more complex equation solving.
%
% Note that the 'matrix' is given as a 'array of row pointers' of rank size.
% That is values can be assigned as matrix[row][column] where 'row' is
% typically the equation, and 'column' is the term of the equation.
% That is the matrix is in the form of a 'row first array'.
%
% However 'vectors' is a 'array of column pointers' which can have any number
% of columns, with each column array the same 'rank' size as 'matrix'.
%
% This allows for simpler handling of the results, especially is only one
% column 'vector' is all that is required to produce the desired solution.
%
% For example, the 'vectors' can consist of a pointer to a simple array of
% doubles. when only one set of simultanious equations is to be solved from
% the given set of coefficient weighted terms.
%
% double **matrix = AcquireMagickMatrix(8UL,8UL);
% double coefficents[8];
% ...
% GaussJordanElimination(matrix, &coefficents, 8UL, 1UL);
%
% However by specifing more 'columns' (as an 'array of vector columns', you
% can use this function to solve a set of 'separable' equations.
%
% For example a distortion function where u = U(x,y) v = V(x,y)
% And the functions U() and V() have separate coefficents, but are being
% generated from a common x,y->u,v data set.
%
% Another example is generation of a color gradient from a set of colors at
% specific coordients, such as a list x,y -> r,g,b,a.
%
% You can also use the 'vectors' to generate an inverse of the given 'matrix'
% though as a 'column first array' rather than a 'row first array'. For
% details see http://en.wikipedia.org/wiki/Gauss-Jordan_elimination
%
*/
MagickExport MagickBooleanType GaussJordanElimination(double **matrix,
double **vectors,const size_t rank,const size_t number_vectors)
{
#define GaussJordanSwap(x,y) \
{ \
if ((x) != (y)) \
{ \
(x)+=(y); \
(y)=(x)-(y); \
(x)=(x)-(y); \
} \
}
double
max,
scale;
register ssize_t
i,
j,
k;
ssize_t
column,
*columns,
*pivots,
row,
*rows;
columns=(ssize_t *) AcquireQuantumMemory(rank,sizeof(*columns));
rows=(ssize_t *) AcquireQuantumMemory(rank,sizeof(*rows));
pivots=(ssize_t *) AcquireQuantumMemory(rank,sizeof(*pivots));
if ((rows == (ssize_t *) NULL) || (columns == (ssize_t *) NULL) ||
(pivots == (ssize_t *) NULL))
{
if (pivots != (ssize_t *) NULL)
pivots=(ssize_t *) RelinquishMagickMemory(pivots);
if (columns != (ssize_t *) NULL)
columns=(ssize_t *) RelinquishMagickMemory(columns);
if (rows != (ssize_t *) NULL)
rows=(ssize_t *) RelinquishMagickMemory(rows);
return(MagickFalse);
}
(void) memset(columns,0,rank*sizeof(*columns));
(void) memset(rows,0,rank*sizeof(*rows));
(void) memset(pivots,0,rank*sizeof(*pivots));
column=0;
row=0;
for (i=0; i < (ssize_t) rank; i++)
{
max=0.0;
for (j=0; j < (ssize_t) rank; j++)
if (pivots[j] != 1)
{
for (k=0; k < (ssize_t) rank; k++)
if (pivots[k] != 0)
{
if (pivots[k] > 1)
return(MagickFalse);
}
else
if (fabs(matrix[j][k]) >= max)
{
max=fabs(matrix[j][k]);
row=j;
column=k;
}
}
pivots[column]++;
if (row != column)
{
for (k=0; k < (ssize_t) rank; k++)
GaussJordanSwap(matrix[row][k],matrix[column][k]);
for (k=0; k < (ssize_t) number_vectors; k++)
GaussJordanSwap(vectors[k][row],vectors[k][column]);
}
rows[i]=row;
columns[i]=column;
if (matrix[column][column] == 0.0)
return(MagickFalse); /* sigularity */
scale=PerceptibleReciprocal(matrix[column][column]);
matrix[column][column]=1.0;
for (j=0; j < (ssize_t) rank; j++)
matrix[column][j]*=scale;
for (j=0; j < (ssize_t) number_vectors; j++)
vectors[j][column]*=scale;
for (j=0; j < (ssize_t) rank; j++)
if (j != column)
{
scale=matrix[j][column];
matrix[j][column]=0.0;
for (k=0; k < (ssize_t) rank; k++)
matrix[j][k]-=scale*matrix[column][k];
for (k=0; k < (ssize_t) number_vectors; k++)
vectors[k][j]-=scale*vectors[k][column];
}
}
for (j=(ssize_t) rank-1; j >= 0; j--)
if (columns[j] != rows[j])
for (i=0; i < (ssize_t) rank; i++)
GaussJordanSwap(matrix[i][rows[j]],matrix[i][columns[j]]);
pivots=(ssize_t *) RelinquishMagickMemory(pivots);
rows=(ssize_t *) RelinquishMagickMemory(rows);
columns=(ssize_t *) RelinquishMagickMemory(columns);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t M a t r i x C o l u m n s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetMatrixColumns() returns the number of columns in the matrix.
%
% The format of the GetMatrixColumns method is:
%
% size_t GetMatrixColumns(const MatrixInfo *matrix_info)
%
% A description of each parameter follows:
%
% o matrix_info: the matrix.
%
*/
MagickExport size_t GetMatrixColumns(const MatrixInfo *matrix_info)
{
assert(matrix_info != (MatrixInfo *) NULL);
assert(matrix_info->signature == MagickCoreSignature);
return(matrix_info->columns);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t M a t r i x E l e m e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetMatrixElement() returns the specifed element in the matrix.
%
% The format of the GetMatrixElement method is:
%
% MagickBooleanType GetMatrixElement(const MatrixInfo *matrix_info,
% const ssize_t x,const ssize_t y,void *value)
%
% A description of each parameter follows:
%
% o matrix_info: the matrix columns.
%
% o x: the matrix x-offset.
%
% o y: the matrix y-offset.
%
% o value: return the matrix element in this buffer.
%
*/
static inline ssize_t EdgeX(const ssize_t x,const size_t columns)
{
if (x < 0L)
return(0L);
if (x >= (ssize_t) columns)
return((ssize_t) (columns-1));
return(x);
}
static inline ssize_t EdgeY(const ssize_t y,const size_t rows)
{
if (y < 0L)
return(0L);
if (y >= (ssize_t) rows)
return((ssize_t) (rows-1));
return(y);
}
static inline MagickOffsetType ReadMatrixElements(
const MatrixInfo *magick_restrict matrix_info,const MagickOffsetType offset,
const MagickSizeType length,unsigned char *magick_restrict buffer)
{
register MagickOffsetType
i;
ssize_t
count;
#if !defined(MAGICKCORE_HAVE_PREAD)
LockSemaphoreInfo(matrix_info->semaphore);
if (lseek(matrix_info->file,offset,SEEK_SET) < 0)
{
UnlockSemaphoreInfo(matrix_info->semaphore);
return((MagickOffsetType) -1);
}
#endif
count=0;
for (i=0; i < (MagickOffsetType) length; i+=count)
{
#if !defined(MAGICKCORE_HAVE_PREAD)
count=read(matrix_info->file,buffer+i,(size_t) MagickMin(length-i,
(MagickSizeType) SSIZE_MAX));
#else
count=pread(matrix_info->file,buffer+i,(size_t) MagickMin(length-i,
(MagickSizeType) SSIZE_MAX),(off_t) (offset+i));
#endif
if (count <= 0)
{
count=0;
if (errno != EINTR)
break;
}
}
#if !defined(MAGICKCORE_HAVE_PREAD)
UnlockSemaphoreInfo(matrix_info->semaphore);
#endif
return(i);
}
MagickExport MagickBooleanType GetMatrixElement(const MatrixInfo *matrix_info,
const ssize_t x,const ssize_t y,void *value)
{
MagickOffsetType
count,
i;
assert(matrix_info != (const MatrixInfo *) NULL);
assert(matrix_info->signature == MagickCoreSignature);
i=(MagickOffsetType) EdgeY(y,matrix_info->rows)*matrix_info->columns+
EdgeX(x,matrix_info->columns);
if (matrix_info->type != DiskCache)
{
(void) memcpy(value,(unsigned char *) matrix_info->elements+i*
matrix_info->stride,matrix_info->stride);
return(MagickTrue);
}
count=ReadMatrixElements(matrix_info,i*matrix_info->stride,
matrix_info->stride,(unsigned char *) value);
if (count != (MagickOffsetType) matrix_info->stride)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t M a t r i x R o w s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetMatrixRows() returns the number of rows in the matrix.
%
% The format of the GetMatrixRows method is:
%
% size_t GetMatrixRows(const MatrixInfo *matrix_info)
%
% A description of each parameter follows:
%
% o matrix_info: the matrix.
%
*/
MagickExport size_t GetMatrixRows(const MatrixInfo *matrix_info)
{
assert(matrix_info != (const MatrixInfo *) NULL);
assert(matrix_info->signature == MagickCoreSignature);
return(matrix_info->rows);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% L e a s t S q u a r e s A d d T e r m s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% LeastSquaresAddTerms() adds one set of terms and associate results to the
% given matrix and vectors for solving using least-squares function fitting.
%
% The format of the AcquireMagickMatrix method is:
%
% void LeastSquaresAddTerms(double **matrix,double **vectors,
% const double *terms,const double *results,const size_t rank,
% const size_t number_vectors);
%
% A description of each parameter follows:
%
% o matrix: the square matrix to add given terms/results to.
%
% o vectors: the result vectors to add terms/results to.
%
% o terms: the pre-calculated terms (without the unknown coefficent
% weights) that forms the equation being added.
%
% o results: the result(s) that should be generated from the given terms
% weighted by the yet-to-be-solved coefficents.
%
% o rank: the rank or size of the dimensions of the square matrix.
% Also the length of vectors, and number of terms being added.
%
% o number_vectors: Number of result vectors, and number or results being
% added. Also represents the number of separable systems of equations
% that is being solved.
%
% Example of use...
%
% 2 dimensional Affine Equations (which are separable)
% c0*x + c2*y + c4*1 => u
% c1*x + c3*y + c5*1 => v
%
% double **matrix = AcquireMagickMatrix(3UL,3UL);
% double **vectors = AcquireMagickMatrix(2UL,3UL);
% double terms[3], results[2];
% ...
% for each given x,y -> u,v
% terms[0] = x;
% terms[1] = y;
% terms[2] = 1;
% results[0] = u;
% results[1] = v;
% LeastSquaresAddTerms(matrix,vectors,terms,results,3UL,2UL);
% ...
% if ( GaussJordanElimination(matrix,vectors,3UL,2UL) ) {
% c0 = vectors[0][0];
% c2 = vectors[0][1];
% c4 = vectors[0][2];
% c1 = vectors[1][0];
% c3 = vectors[1][1];
% c5 = vectors[1][2];
% }
% else
% printf("Matrix unsolvable\n);
% RelinquishMagickMatrix(matrix,3UL);
% RelinquishMagickMatrix(vectors,2UL);
%
*/
MagickExport void LeastSquaresAddTerms(double **matrix,double **vectors,
const double *terms,const double *results,const size_t rank,
const size_t number_vectors)
{
register ssize_t
i,
j;
for (j=0; j < (ssize_t) rank; j++)
{
for (i=0; i < (ssize_t) rank; i++)
matrix[i][j]+=terms[i]*terms[j];
for (i=0; i < (ssize_t) number_vectors; i++)
vectors[i][j]+=results[i]*terms[j];
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M a t r i x T o I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% MatrixToImage() returns a matrix as an image. The matrix elements must be
% of type double otherwise nonsense is returned.
%
% The format of the MatrixToImage method is:
%
% Image *MatrixToImage(const MatrixInfo *matrix_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o matrix_info: the matrix.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *MatrixToImage(const MatrixInfo *matrix_info,
ExceptionInfo *exception)
{
CacheView
*image_view;
double
max_value,
min_value,
scale_factor,
value;
Image
*image;
MagickBooleanType
status;
ssize_t
y;
assert(matrix_info != (const MatrixInfo *) NULL);
assert(matrix_info->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if (matrix_info->stride < sizeof(double))
return((Image *) NULL);
/*
Determine range of matrix.
*/
(void) GetMatrixElement(matrix_info,0,0,&value);
min_value=value;
max_value=value;
for (y=0; y < (ssize_t) matrix_info->rows; y++)
{
register ssize_t
x;
for (x=0; x < (ssize_t) matrix_info->columns; x++)
{
if (GetMatrixElement(matrix_info,x,y,&value) == MagickFalse)
continue;
if (value < min_value)
min_value=value;
else
if (value > max_value)
max_value=value;
}
}
if ((min_value == 0.0) && (max_value == 0.0))
scale_factor=0;
else
if (min_value == max_value)
{
scale_factor=(double) QuantumRange/min_value;
min_value=0;
}
else
scale_factor=(double) QuantumRange/(max_value-min_value);
/*
Convert matrix to image.
*/
image=AcquireImage((ImageInfo *) NULL);
image->columns=matrix_info->columns;
image->rows=matrix_info->rows;
image->colorspace=GRAYColorspace;
status=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
value;
register PixelPacket
*q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=QueueCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetMatrixElement(matrix_info,x,y,&value) == MagickFalse)
continue;
value=scale_factor*(value-min_value);
q->red=ClampToQuantum(value);
q->green=q->red;
q->blue=q->red;
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N u l l M a t r i x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NullMatrix() sets all elements of the matrix to zero.
%
% The format of the memset method is:
%
% MagickBooleanType *NullMatrix(MatrixInfo *matrix_info)
%
% A description of each parameter follows:
%
% o matrix_info: the matrix.
%
*/
MagickExport MagickBooleanType NullMatrix(MatrixInfo *matrix_info)
{
register ssize_t
x;
ssize_t
count,
y;
unsigned char
value;
assert(matrix_info != (const MatrixInfo *) NULL);
assert(matrix_info->signature == MagickCoreSignature);
if (matrix_info->type != DiskCache)
{
(void) memset(matrix_info->elements,0,(size_t)
matrix_info->length);
return(MagickTrue);
}
value=0;
(void) lseek(matrix_info->file,0,SEEK_SET);
for (y=0; y < (ssize_t) matrix_info->rows; y++)
{
for (x=0; x < (ssize_t) matrix_info->length; x++)
{
count=write(matrix_info->file,&value,sizeof(value));
if (count != (ssize_t) sizeof(value))
break;
}
if (x < (ssize_t) matrix_info->length)
break;
}
return(y < (ssize_t) matrix_info->rows ? MagickFalse : MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e l i n q u i s h M a g i c k M a t r i x %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RelinquishMagickMatrix() frees the previously acquired matrix (array of
% pointers to arrays of doubles).
%
% The format of the RelinquishMagickMatrix method is:
%
% double **RelinquishMagickMatrix(double **matrix,
% const size_t number_rows)
%
% A description of each parameter follows:
%
% o matrix: the matrix to relinquish
%
% o number_rows: the first dimension of the acquired matrix (number of
% pointers)
%
*/
MagickExport double **RelinquishMagickMatrix(double **matrix,
const size_t number_rows)
{
register ssize_t
i;
if (matrix == (double **) NULL )
return(matrix);
for (i=0; i < (ssize_t) number_rows; i++)
matrix[i]=(double *) RelinquishMagickMemory(matrix[i]);
matrix=(double **) RelinquishMagickMemory(matrix);
return(matrix);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t M a t r i x E l e m e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetMatrixElement() sets the specifed element in the matrix.
%
% The format of the SetMatrixElement method is:
%
% MagickBooleanType SetMatrixElement(const MatrixInfo *matrix_info,
% const ssize_t x,const ssize_t y,void *value)
%
% A description of each parameter follows:
%
% o matrix_info: the matrix columns.
%
% o x: the matrix x-offset.
%
% o y: the matrix y-offset.
%
% o value: set the matrix element to this value.
%
*/
MagickExport MagickBooleanType SetMatrixElement(const MatrixInfo *matrix_info,
const ssize_t x,const ssize_t y,const void *value)
{
MagickOffsetType
count,
i;
assert(matrix_info != (const MatrixInfo *) NULL);
assert(matrix_info->signature == MagickCoreSignature);
i=(MagickOffsetType) y*matrix_info->columns+x;
if ((i < 0) ||
((MagickSizeType) (i*matrix_info->stride) >= matrix_info->length))
return(MagickFalse);
if (matrix_info->type != DiskCache)
{
(void) memcpy((unsigned char *) matrix_info->elements+i*
matrix_info->stride,value,matrix_info->stride);
return(MagickTrue);
}
count=WriteMatrixElements(matrix_info,i*matrix_info->stride,
matrix_info->stride,(unsigned char *) value);
if (count != (MagickOffsetType) matrix_info->stride)
return(MagickFalse);
return(MagickTrue);
}
|
functions.c | /**
* File: functions.c
* Description:
* Helper file for the 2nd exercise (KNN classification using MPI),
* of the parallel and distributed systems class, THMMY AUTH.
*
* The declarations of the functions defined here are in:
* File: functions.h
* That file also contains COMMENTS about these functions.
*
* Authors:
* Katomeris Nikolaos, AEM: 8551, ngkatomer@auth.gr
* Kyriazis Leandros Giorgos, AEM: 7711, gkyriazt@auth.gr
*
* Date:
* December 2017
*/
#include "functions.h"
int Initialize(int* number_of_elements, int* number_of_attributes, int* number_of_processes, int* number_of_threads,FILE** data_fp, FILE** labels_fp, int argc, char** argv){
if (argc != 3 && argc != 4){
printf("Usage:./%s <number_of_elements> <number_of_attributes> <number_of_threads_per_process> (optional)\n", argv[0]);
return 1;
}
// MPI
MPI_Init(NULL, NULL);
MPI_Comm_size(MPI_COMM_WORLD, number_of_processes);
if (*number_of_processes % 2){
printf("Odd number of processes <%d> is not supported.\n", *number_of_processes);
return 1;
}
*number_of_elements = atoi(argv[1]);
*number_of_attributes = atoi(argv[2]);
if (argc == 4) *number_of_threads = atoi(argv[3]);
else *number_of_threads = 1;
if(*number_of_threads == 0) *number_of_threads = 1;
if (*number_of_elements % *number_of_processes){
printf("number_of_elements %% number_of_attributes must be zero\n");
return 1;
}
if((*number_of_attributes == 784 && *number_of_elements > 10000) || (*number_of_attributes == 30 && *number_of_elements > 60000) || *number_of_attributes <= 0 || number_of_elements <= 0){
printf("These arguments are not supported. Exiting...\n");
return 1;
}
if(*number_of_attributes == 784){
*data_fp = fopen("../Files/train_X_10k_x_784.bin","rb");
*labels_fp = fopen("../Files/Labels_10k_x_1.bin","rb");
if (*data_fp == NULL){
printf("Couldn't open data file. Exiting...\n");
return 1;
}
if (*labels_fp == NULL){
printf("Couldn't open label file. Exiting...\n");
return 1;
}
}
else if(*number_of_attributes == 30){
*data_fp = fopen("../Files/train_X_SVD_60k_x_30.bin","rb");
*labels_fp = fopen("../Files/Labels_60k_x_1.bin","rb");
if (*data_fp == NULL){
printf("Couldn't open data file. Exiting...\n");
return 1;
}
if (*labels_fp == NULL){
printf("Couldn't open label file. Exiting...\n");
return 1;
}
}
else{
printf("No file with %d attributes found\n", *number_of_attributes);
return 1;
}
return 0;
}
element* prepareBuffer(int number_of_elements, int number_of_attributes){
element* my_elements = (element*)malloc(number_of_elements*sizeof(element));
void* packet = malloc(number_of_elements*sizeof(int) +number_of_elements*number_of_attributes*sizeof(double));
if (packet == NULL || my_elements == NULL){
fprintf(stderr, "Couldn't allocate memory at func: prepareBuffer\n");
return NULL;
}
int* label_packet = &((int*) packet)[0];
double* data_packet = (double*) &((int*) packet)[number_of_elements];
int i;
for (i = 0; i < number_of_elements; i++){
my_elements[i].label = &label_packet[i];
my_elements[i].attributes = &data_packet[number_of_attributes*i];
}
return my_elements;
}
void swapElementP(element **one, element **two){
element *temp = *one;
*one = *two;
*two = temp;
}
int iMax(int* array, int size){
int i;
int max_index = 0;
for (i = 1; i < size; i++){
if(array[i] > array[max_index]){
max_index = i;
}
}
return max_index;
}
void findKNN(double** distKNN, int** labelKNN,int lines, int k, int attr_number,element* my_elements, element* other_elements)
{
int i;
#pragma omp parallel for
for (i = 0; i < lines; i++)
{
double distance;
int j, attr, position, counter;
for (j = 0; j < lines; j++)
{
distance = 0;
for (attr = 0; attr < attr_number; attr++){
distance += (my_elements[i].attributes[attr]-other_elements[j].attributes[attr])*(my_elements[i].attributes[attr]-other_elements[j].attributes[attr]);
}
if (distance == 0) continue;
for (position = k - 1; position >= 0; position--){
if (distance < distKNN[i][position]) continue;
else break;
}
position++;
if (position >= k) continue;
for (counter = k - 2; counter >= position; counter--){
distKNN[i][counter+1] = distKNN[i][counter];
labelKNN[i][counter+1] = labelKNN[i][counter];
}
distKNN[i][position] = distance;
labelKNN[i][position] = *other_elements[j].label;
}
}
}
double** initializeKNNTable(int rows, int col)
{
double** my_knn = (double**) malloc(rows*sizeof(double*));
if (my_knn == NULL) {
fprintf(stderr, "Couldn't allocate memory for the knn table");
return NULL;
}
int i, j;
for (i = 0; i < rows; i++){
my_knn[i] = (double*) malloc(col*sizeof(double));
if (my_knn[i] == NULL) {
fprintf(stderr, "Couldn't allocate memory for the knn table row %d", i);
return NULL;
}
}
for (i = 0; i < rows; i++){
for (j = 0; j < col; j++){
my_knn[i][j] = DBL_MAX;
}
}
return my_knn;
}
int** initializeLabelKNNTable(int rows, int col)
{
int** my_knn = (int**) malloc(rows*sizeof(int*));
if (my_knn == NULL) {
fprintf(stderr, "Couldn't allocate memory for the knn table");
return NULL;
}
int i, j;
for (i = 0; i < rows; i++){
my_knn[i] = (int*) malloc(col*sizeof(int));
if (my_knn[i] == NULL) {
fprintf(stderr, "Couldn't allocate memory for the knn table row %d", i);
return NULL;
}
}
for (i = 0; i < rows; i++){
for (j = 0; j < col; j++){
my_knn[i][j] = -1;
}
}
return my_knn;
}
element* loadMyElements(FILE* data_fp, FILE* label_fp, int number_of_elements, int number_of_attributes, int offset)
{
element* my_elements = (element*)malloc(number_of_elements*sizeof(element));
if (my_elements == NULL){
fprintf(stderr, "Couldn't allocate memory at func: loadMyElements\n");
return NULL;
}
void* packet = loadElements(label_fp, data_fp, number_of_elements, number_of_attributes, offset);
if (packet == NULL){
return NULL;
}
int* label_packet = &((int*) packet)[0];
double* data_packet = (double*) &((int*) packet)[number_of_elements];
int i;
for (i = 0; i < number_of_elements; i++){
my_elements[i].label = &label_packet[i];
my_elements[i].attributes = &data_packet[number_of_attributes*i];
}
return my_elements;
}
void* loadElements(FILE* label_fp, FILE* data_fp, int number_of_elements, int number_of_attributes, int offset){
void* elements = malloc(number_of_elements*sizeof(int)+number_of_attributes*number_of_elements*sizeof(double));
if (elements == NULL){
fprintf(stderr ,"Couldn't allocate memory for the table segment"
" at offset %d\n", offset);
return NULL;
}
int n;
//Get Labels
int* labels_start = (int *)elements;
if (fseek(label_fp, offset*number_of_elements*sizeof(int), SEEK_SET))
{
fprintf(stderr, "Error at setting the label file's offset, offset: %d\n", offset);
return NULL;
}
if((n = fread(labels_start, sizeof(int), number_of_elements, label_fp)) != number_of_elements){
fprintf(stderr, "Error at reading the label data, offset: %d, size = %d\n", offset, number_of_elements);
return NULL;
}
//Get attributes
if (fseek(data_fp, offset*number_of_elements*number_of_attributes*sizeof(double), SEEK_SET)){
fprintf(stderr, "Error at setting the attr file's offset, offset: %d\n", offset);
return NULL;
}
double* data_start = (double*)&((int*) elements)[number_of_elements];
if((n = fread(data_start, sizeof(double), number_of_elements*number_of_attributes, data_fp)) != number_of_elements*number_of_attributes){
fprintf(stderr, "Error at reading the attr data, offset: %d, size = %d\n", offset, number_of_elements);
return NULL;
}
return elements;
} |
GB_unop__tanh_fp32_fp32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__tanh_fp32_fp32
// op(A') function: GB_unop_tran__tanh_fp32_fp32
// C type: float
// A type: float
// cast: float cij = aij
// unaryop: cij = tanhf (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 = tanhf (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] = tanhf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_TANH || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__tanh_fp32_fp32
(
float *Cx, // Cx and Ax may be aliased
const float *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
float aij = Ax [p] ;
float z = aij ;
Cx [p] = tanhf (z) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__tanh_fp32_fp32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
parallel_section_private.c | /* This file contains all checks for the section construct without the checks for the reduction clauses:
ordered: checks that the execution is equivalent to the serial case
*/
#include <stdio.h>
#include "omp_testsuite.h"
int
check_parallel_section_private (FILE * logFile)
{
int sum = 7;
int sum0 = 0;
int known_sum;
int i;
#pragma omp parallel sections private(sum0,i)
{
#pragma omp section
{
sum0 = 0;
for (i = 1; i < 400; i++)
sum0 = sum0 + i;
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
#pragma omp section
{
sum0 = 0;
for (i = 400; i < 700; i++)
sum0 = sum0 + i;
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
#pragma omp section
{
sum0 = 0;
for (i = 700; i < 1000; i++)
sum0 = sum0 + i;
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
} /*end of paralell sections */
known_sum = (999 * 1000) / 2 + 7;
return (known_sum == sum);
} /* end of check_section_private */
int
crosscheck_parallel_section_private (FILE * logFile)
{
int sum = 7;
int sum0 = 0;
int known_sum;
int i;
#pragma omp parallel sections private(i)
{
#pragma omp section
{
sum0 = 0;
for (i = 1; i < 400; i++)
sum0 = sum0 + i;
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
#pragma omp section
{
sum0 = 0;
for (i = 400; i < 700; i++)
sum0 = sum0 + i;
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
#pragma omp section
{
sum0 = 0;
for (i = 700; i < 1000; i++)
sum0 = sum0 + i;
#pragma omp critical
{
sum = sum + sum0;
} /*end of critical */
}
} /*end of paralell sections */
known_sum = (999 * 1000) / 2 + 7;
return (known_sum == sum);
} /* end of check_section_private */
|
compare.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC OOO M M PPPP AAA RRRR EEEEE %
% C O O MM MM P P A A R R E %
% C O O M M M PPPP AAAAA RRRR EEE %
% C O O M M P A A R R E %
% CCCC OOO M M P A A R R EEEEE %
% %
% %
% MagickCore Image Comparison Methods %
% %
% Software Design %
% John Cristy %
% December 2003 %
% %
% %
% Copyright 1999-2013 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% http://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/artifact.h"
#include "magick/cache-view.h"
#include "magick/channel.h"
#include "magick/client.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/compare.h"
#include "magick/composite-private.h"
#include "magick/constitute.h"
#include "magick/exception-private.h"
#include "magick/geometry.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/memory_.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/pixel-private.h"
#include "magick/resource_.h"
#include "magick/string_.h"
#include "magick/statistic.h"
#include "magick/thread-private.h"
#include "magick/transform.h"
#include "magick/utility.h"
#include "magick/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m p a r e I m a g e C h a n n e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CompareImageChannels() compares one or more image channels of an image
% to a reconstructed image and returns the difference image.
%
% The format of the CompareImageChannels method is:
%
% Image *CompareImageChannels(const Image *image,
% const Image *reconstruct_image,const ChannelType channel,
% const MetricType metric,double *distortion,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o channel: the channel.
%
% o metric: the metric.
%
% o distortion: the computed distortion between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CompareImages(Image *image,const Image *reconstruct_image,
const MetricType metric,double *distortion,ExceptionInfo *exception)
{
Image
*highlight_image;
highlight_image=CompareImageChannels(image,reconstruct_image,
CompositeChannels,metric,distortion,exception);
return(highlight_image);
}
MagickExport Image *CompareImageChannels(Image *image,
const Image *reconstruct_image,const ChannelType channel,
const MetricType metric,double *distortion,ExceptionInfo *exception)
{
CacheView
*highlight_view,
*image_view,
*reconstruct_view;
const char
*artifact;
Image
*difference_image,
*highlight_image;
MagickBooleanType
status;
MagickPixelPacket
highlight,
lowlight,
zero;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickSignature);
assert(distortion != (double *) NULL);
*distortion=0.0;
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((reconstruct_image->columns != image->columns) ||
(reconstruct_image->rows != image->rows))
ThrowImageException(ImageError,"ImageSizeDiffers");
status=GetImageChannelDistortion(image,reconstruct_image,channel,metric,
distortion,exception);
if (status == MagickFalse)
return((Image *) NULL);
difference_image=CloneImage(image,0,0,MagickTrue,exception);
if (difference_image == (Image *) NULL)
return((Image *) NULL);
(void) SetImageAlphaChannel(difference_image,OpaqueAlphaChannel);
highlight_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (highlight_image == (Image *) NULL)
{
difference_image=DestroyImage(difference_image);
return((Image *) NULL);
}
if (SetImageStorageClass(highlight_image,DirectClass) == MagickFalse)
{
InheritException(exception,&highlight_image->exception);
difference_image=DestroyImage(difference_image);
highlight_image=DestroyImage(highlight_image);
return((Image *) NULL);
}
(void) SetImageAlphaChannel(highlight_image,OpaqueAlphaChannel);
(void) QueryMagickColor("#f1001ecc",&highlight,exception);
artifact=GetImageArtifact(image,"highlight-color");
if (artifact != (const char *) NULL)
(void) QueryMagickColor(artifact,&highlight,exception);
(void) QueryMagickColor("#ffffffcc",&lowlight,exception);
artifact=GetImageArtifact(image,"lowlight-color");
if (artifact != (const char *) NULL)
(void) QueryMagickColor(artifact,&lowlight,exception);
if (highlight_image->colorspace == CMYKColorspace)
{
ConvertRGBToCMYK(&highlight);
ConvertRGBToCMYK(&lowlight);
}
/*
Generate difference image.
*/
status=MagickTrue;
GetMagickPixelPacket(image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
highlight_view=AcquireAuthenticCacheView(highlight_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,highlight_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
MagickPixelPacket
pixel,
reconstruct_pixel;
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register IndexPacket
*restrict highlight_indexes;
register PixelPacket
*restrict r;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,reconstruct_image->columns,
1,exception);
r=QueueCacheViewAuthenticPixels(highlight_view,0,y,highlight_image->columns,
1,exception);
if ((p == (const PixelPacket *) NULL) ||
(q == (const PixelPacket *) NULL) || (r == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
highlight_indexes=GetCacheViewAuthenticIndexQueue(highlight_view);
pixel=zero;
reconstruct_pixel=zero;
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickStatusType
difference;
SetMagickPixelPacket(image,p,indexes+x,&pixel);
SetMagickPixelPacket(reconstruct_image,q,reconstruct_indexes+x,
&reconstruct_pixel);
difference=MagickFalse;
if (channel == CompositeChannels)
{
if (IsMagickColorSimilar(&pixel,&reconstruct_pixel) == MagickFalse)
difference=MagickTrue;
}
else
{
if (((channel & RedChannel) != 0) &&
(GetPixelRed(p) != GetPixelRed(q)))
difference=MagickTrue;
if (((channel & GreenChannel) != 0) &&
(GetPixelGreen(p) != GetPixelGreen(q)))
difference=MagickTrue;
if (((channel & BlueChannel) != 0) &&
(GetPixelBlue(p) != GetPixelBlue(q)))
difference=MagickTrue;
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse) &&
(GetPixelOpacity(p) != GetPixelOpacity(q)))
difference=MagickTrue;
if ((((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace)) &&
(GetPixelIndex(indexes+x) !=
GetPixelIndex(reconstruct_indexes+x)))
difference=MagickTrue;
}
if (difference != MagickFalse)
SetPixelPacket(highlight_image,&highlight,r,highlight_indexes+x);
else
SetPixelPacket(highlight_image,&lowlight,r,highlight_indexes+x);
p++;
q++;
r++;
}
sync=SyncCacheViewAuthenticPixels(highlight_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
highlight_view=DestroyCacheView(highlight_view);
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
(void) CompositeImage(difference_image,image->compose,highlight_image,0,0);
highlight_image=DestroyImage(highlight_image);
if (status == MagickFalse)
difference_image=DestroyImage(difference_image);
return(difference_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l D i s t o r t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelDistortion() compares one or more image channels of an image
% to a reconstructed image and returns the specified distortion metric.
%
% The format of the GetImageChannelDistortion method is:
%
% MagickBooleanType GetImageChannelDistortion(const Image *image,
% const Image *reconstruct_image,const ChannelType channel,
% const MetricType metric,double *distortion,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o channel: the channel.
%
% o metric: the metric.
%
% o distortion: the computed distortion between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType GetImageDistortion(Image *image,
const Image *reconstruct_image,const MetricType metric,double *distortion,
ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetImageChannelDistortion(image,reconstruct_image,CompositeChannels,
metric,distortion,exception);
return(status);
}
static MagickBooleanType GetAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,double *distortion,
ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
MagickPixelPacket
zero;
ssize_t
y;
/*
Compute the absolute difference in pixels between two images.
*/
status=MagickTrue;
GetMagickPixelPacket(image,&zero);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
channel_distortion[CompositeChannels+1];
MagickPixelPacket
pixel,
reconstruct_pixel;
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,reconstruct_image->columns,
1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
pixel=zero;
reconstruct_pixel=pixel;
(void) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) image->columns; x++)
{
SetMagickPixelPacket(image,p,indexes+x,&pixel);
SetMagickPixelPacket(reconstruct_image,q,reconstruct_indexes+x,
&reconstruct_pixel);
if (IsMagickColorSimilar(&pixel,&reconstruct_pixel) == MagickFalse)
{
if ((channel & RedChannel) != 0)
channel_distortion[RedChannel]++;
if ((channel & GreenChannel) != 0)
channel_distortion[GreenChannel]++;
if ((channel & BlueChannel) != 0)
channel_distortion[BlueChannel]++;
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
channel_distortion[OpacityChannel]++;
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
channel_distortion[BlackChannel]++;
channel_distortion[CompositeChannels]++;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetAbsoluteError)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]+=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
return(status);
}
static size_t GetNumberChannels(const Image *image,
const ChannelType channel)
{
size_t
channels;
channels=0;
if ((channel & RedChannel) != 0)
channels++;
if ((channel & GreenChannel) != 0)
channels++;
if ((channel & BlueChannel) != 0)
channels++;
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
channels++;
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
channels++;
return(channels);
}
static MagickBooleanType GetFuzzDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
register ssize_t
i;
ssize_t
y;
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,reconstruct_image->columns,
1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
distance;
if ((channel & RedChannel) != 0)
{
distance=QuantumScale*(GetPixelRed(p)-(MagickRealType)
GetPixelRed(q));
channel_distortion[RedChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if ((channel & GreenChannel) != 0)
{
distance=QuantumScale*(GetPixelGreen(p)-(MagickRealType)
GetPixelGreen(q));
channel_distortion[GreenChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if ((channel & BlueChannel) != 0)
{
distance=QuantumScale*(GetPixelBlue(p)-(MagickRealType)
GetPixelBlue(q));
channel_distortion[BlueChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if (((channel & OpacityChannel) != 0) && ((image->matte != MagickFalse) ||
(reconstruct_image->matte != MagickFalse)))
{
distance=QuantumScale*((image->matte != MagickFalse ?
GetPixelOpacity(p) : OpaqueOpacity)-
(reconstruct_image->matte != MagickFalse ?
GetPixelOpacity(q): OpaqueOpacity));
channel_distortion[OpacityChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=QuantumScale*(GetPixelIndex(indexes+x)-
(MagickRealType) GetPixelIndex(reconstruct_indexes+x));
channel_distortion[BlackChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetFuzzDistortion)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]+=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]/=((double) image->columns*image->rows);
if (((channel & OpacityChannel) != 0) && ((image->matte != MagickFalse) ||
(reconstruct_image->matte != MagickFalse)))
distortion[CompositeChannels]/=(double) (GetNumberChannels(image,channel)-1);
else
distortion[CompositeChannels]/=(double) GetNumberChannels(image,channel);
distortion[CompositeChannels]=sqrt(distortion[CompositeChannels]);
return(status);
}
static MagickBooleanType GetMeanAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
register ssize_t
i;
ssize_t
y;
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,
reconstruct_image->columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
distance;
if ((channel & RedChannel) != 0)
{
distance=QuantumScale*fabs(GetPixelRed(p)-(double)
GetPixelRed(q));
channel_distortion[RedChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
if ((channel & GreenChannel) != 0)
{
distance=QuantumScale*fabs(GetPixelGreen(p)-(double)
GetPixelGreen(q));
channel_distortion[GreenChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
if ((channel & BlueChannel) != 0)
{
distance=QuantumScale*fabs(GetPixelBlue(p)-(double)
GetPixelBlue(q));
channel_distortion[BlueChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=QuantumScale*fabs(GetPixelOpacity(p)-(double)
GetPixelOpacity(q));
channel_distortion[OpacityChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
{
distance=QuantumScale*fabs(GetPixelIndex(indexes+x)-(double)
GetPixelIndex(reconstruct_indexes+x));
channel_distortion[BlackChannel]+=distance;
channel_distortion[CompositeChannels]+=distance;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetMeanAbsoluteError)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]+=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]/=((double) image->columns*image->rows);
distortion[CompositeChannels]/=(double) GetNumberChannels(image,channel);
return(status);
}
static MagickBooleanType GetMeanErrorPerPixel(Image *image,
const Image *reconstruct_image,const ChannelType channel,double *distortion,
ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
MagickRealType
alpha,
area,
beta,
maximum_error,
mean_error;
ssize_t
y;
status=MagickTrue;
alpha=1.0;
beta=1.0;
area=0.0;
maximum_error=0.0;
mean_error=0.0;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,reconstruct_image->columns,
1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
break;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
distance;
if ((channel & OpacityChannel) != 0)
{
if (image->matte != MagickFalse)
alpha=(MagickRealType) (QuantumScale*(GetPixelAlpha(p)));
if (reconstruct_image->matte != MagickFalse)
beta=(MagickRealType) (QuantumScale*GetPixelAlpha(q));
}
if ((channel & RedChannel) != 0)
{
distance=fabs(alpha*GetPixelRed(p)-beta*
GetPixelRed(q));
distortion[RedChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if ((channel & GreenChannel) != 0)
{
distance=fabs(alpha*GetPixelGreen(p)-beta*
GetPixelGreen(q));
distortion[GreenChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if ((channel & BlueChannel) != 0)
{
distance=fabs(alpha*GetPixelBlue(p)-beta*
GetPixelBlue(q));
distortion[BlueChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=fabs((double) GetPixelOpacity(p)-
GetPixelOpacity(q));
distortion[OpacityChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=fabs(alpha*GetPixelIndex(indexes+x)-beta*
GetPixelIndex(reconstruct_indexes+x));
distortion[BlackChannel]+=distance;
distortion[CompositeChannels]+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
p++;
q++;
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
image->error.mean_error_per_pixel=distortion[CompositeChannels]/area;
image->error.normalized_mean_error=QuantumScale*QuantumScale*mean_error/area;
image->error.normalized_maximum_error=QuantumScale*maximum_error;
return(status);
}
static MagickBooleanType GetMeanSquaredDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
register ssize_t
i;
ssize_t
y;
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,
reconstruct_image->columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
distance;
if ((channel & RedChannel) != 0)
{
distance=QuantumScale*(GetPixelRed(p)-(MagickRealType)
GetPixelRed(q));
channel_distortion[RedChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if ((channel & GreenChannel) != 0)
{
distance=QuantumScale*(GetPixelGreen(p)-(MagickRealType)
GetPixelGreen(q));
channel_distortion[GreenChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if ((channel & BlueChannel) != 0)
{
distance=QuantumScale*(GetPixelBlue(p)-(MagickRealType)
GetPixelBlue(q));
channel_distortion[BlueChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=QuantumScale*(GetPixelOpacity(p)-(MagickRealType)
GetPixelOpacity(q));
channel_distortion[OpacityChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=QuantumScale*(GetPixelIndex(indexes+x)-
(MagickRealType) GetPixelIndex(reconstruct_indexes+x));
channel_distortion[BlackChannel]+=distance*distance;
channel_distortion[CompositeChannels]+=distance*distance;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetMeanSquaredError)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]+=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]/=((double) image->columns*image->rows);
distortion[CompositeChannels]/=(double) GetNumberChannels(image,channel);
return(status);
}
static MagickBooleanType GetNormalizedCrossCorrelationDistortion(
const Image *image,const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
#define SimilarityImageTag "Similarity/Image"
CacheView
*image_view,
*reconstruct_view;
ChannelStatistics
*image_statistics,
*reconstruct_statistics;
MagickBooleanType
status;
MagickOffsetType
progress;
MagickRealType
area;
register ssize_t
i;
ssize_t
y;
/*
Normalize to account for variation due to lighting and exposure condition.
*/
image_statistics=GetImageChannelStatistics(image,exception);
reconstruct_statistics=GetImageChannelStatistics(reconstruct_image,exception);
status=MagickTrue;
progress=0;
for (i=0; i <= (ssize_t) CompositeChannels; i++)
distortion[i]=0.0;
area=1.0/((MagickRealType) image->columns*image->rows-1);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,reconstruct_image->columns,
1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((channel & RedChannel) != 0)
distortion[RedChannel]+=area*QuantumScale*(GetPixelRed(p)-
image_statistics[RedChannel].mean)*(GetPixelRed(q)-
reconstruct_statistics[RedChannel].mean);
if ((channel & GreenChannel) != 0)
distortion[GreenChannel]+=area*QuantumScale*(GetPixelGreen(p)-
image_statistics[GreenChannel].mean)*(GetPixelGreen(q)-
reconstruct_statistics[GreenChannel].mean);
if ((channel & BlueChannel) != 0)
distortion[BlueChannel]+=area*QuantumScale*(GetPixelBlue(p)-
image_statistics[BlueChannel].mean)*(GetPixelBlue(q)-
reconstruct_statistics[BlueChannel].mean);
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
distortion[OpacityChannel]+=area*QuantumScale*(
GetPixelOpacity(p)-image_statistics[OpacityChannel].mean)*
(GetPixelOpacity(q)-
reconstruct_statistics[OpacityChannel].mean);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
distortion[BlackChannel]+=area*QuantumScale*(
GetPixelIndex(indexes+x)-
image_statistics[OpacityChannel].mean)*(
GetPixelIndex(reconstruct_indexes+x)-
reconstruct_statistics[OpacityChannel].mean);
p++;
q++;
}
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,SimilarityImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
/*
Divide by the standard deviation.
*/
for (i=0; i < (ssize_t) CompositeChannels; i++)
{
double
gamma;
gamma=image_statistics[i].standard_deviation*
reconstruct_statistics[i].standard_deviation;
gamma=PerceptibleReciprocal(gamma);
distortion[i]=QuantumRange*gamma*distortion[i];
}
distortion[CompositeChannels]=0.0;
if ((channel & RedChannel) != 0)
distortion[CompositeChannels]+=distortion[RedChannel]*
distortion[RedChannel];
if ((channel & GreenChannel) != 0)
distortion[CompositeChannels]+=distortion[GreenChannel]*
distortion[GreenChannel];
if ((channel & BlueChannel) != 0)
distortion[CompositeChannels]+=distortion[BlueChannel]*
distortion[BlueChannel];
if (((channel & OpacityChannel) != 0) && (image->matte != MagickFalse))
distortion[CompositeChannels]+=distortion[OpacityChannel]*
distortion[OpacityChannel];
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
distortion[CompositeChannels]+=distortion[BlackChannel]*
distortion[BlackChannel];
distortion[CompositeChannels]=sqrt(distortion[CompositeChannels]/
GetNumberChannels(image,channel));
/*
Free resources.
*/
reconstruct_statistics=(ChannelStatistics *) RelinquishMagickMemory(
reconstruct_statistics);
image_statistics=(ChannelStatistics *) RelinquishMagickMemory(
image_statistics);
return(status);
}
static MagickBooleanType GetPeakAbsoluteDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
CacheView
*image_view,
*reconstruct_view;
MagickBooleanType
status;
ssize_t
y;
status=MagickTrue;
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
double
channel_distortion[CompositeChannels+1];
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register ssize_t
i,
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,
reconstruct_image->columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
(void) ResetMagickMemory(channel_distortion,0,sizeof(channel_distortion));
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
distance;
if ((channel & RedChannel) != 0)
{
distance=QuantumScale*fabs(GetPixelRed(p)-(double)
GetPixelRed(q));
if (distance > channel_distortion[RedChannel])
channel_distortion[RedChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
if ((channel & GreenChannel) != 0)
{
distance=QuantumScale*fabs(GetPixelGreen(p)-(double)
GetPixelGreen(q));
if (distance > channel_distortion[GreenChannel])
channel_distortion[GreenChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
if ((channel & BlueChannel) != 0)
{
distance=QuantumScale*fabs(GetPixelBlue(p)-(double)
GetPixelBlue(q));
if (distance > channel_distortion[BlueChannel])
channel_distortion[BlueChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
{
distance=QuantumScale*fabs(GetPixelOpacity(p)-(double)
GetPixelOpacity(q));
if (distance > channel_distortion[OpacityChannel])
channel_distortion[OpacityChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=QuantumScale*fabs(GetPixelIndex(indexes+x)-(double)
GetPixelIndex(reconstruct_indexes+x));
if (distance > channel_distortion[BlackChannel])
channel_distortion[BlackChannel]=distance;
if (distance > channel_distortion[CompositeChannels])
channel_distortion[CompositeChannels]=distance;
}
p++;
q++;
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_GetPeakAbsoluteError)
#endif
for (i=0; i <= (ssize_t) CompositeChannels; i++)
if (channel_distortion[i] > distortion[i])
distortion[i]=channel_distortion[i];
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
return(status);
}
static MagickBooleanType GetPeakSignalToNoiseRatio(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetMeanSquaredDistortion(image,reconstruct_image,channel,distortion,
exception);
if ((channel & RedChannel) != 0)
distortion[RedChannel]=20.0*log10((double) 1.0/sqrt(
distortion[RedChannel]));
if ((channel & GreenChannel) != 0)
distortion[GreenChannel]=20.0*log10((double) 1.0/sqrt(
distortion[GreenChannel]));
if ((channel & BlueChannel) != 0)
distortion[BlueChannel]=20.0*log10((double) 1.0/sqrt(
distortion[BlueChannel]));
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
distortion[OpacityChannel]=20.0*log10((double) 1.0/sqrt(
distortion[OpacityChannel]));
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
distortion[BlackChannel]=20.0*log10((double) 1.0/sqrt(
distortion[BlackChannel]));
distortion[CompositeChannels]=20.0*log10((double) 1.0/sqrt(
distortion[CompositeChannels]));
return(status);
}
static MagickBooleanType GetRootMeanSquaredDistortion(const Image *image,
const Image *reconstruct_image,const ChannelType channel,
double *distortion,ExceptionInfo *exception)
{
MagickBooleanType
status;
status=GetMeanSquaredDistortion(image,reconstruct_image,channel,distortion,
exception);
if ((channel & RedChannel) != 0)
distortion[RedChannel]=sqrt(distortion[RedChannel]);
if ((channel & GreenChannel) != 0)
distortion[GreenChannel]=sqrt(distortion[GreenChannel]);
if ((channel & BlueChannel) != 0)
distortion[BlueChannel]=sqrt(distortion[BlueChannel]);
if (((channel & OpacityChannel) != 0) &&
(image->matte != MagickFalse))
distortion[OpacityChannel]=sqrt(distortion[OpacityChannel]);
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace))
distortion[BlackChannel]=sqrt(distortion[BlackChannel]);
distortion[CompositeChannels]=sqrt(distortion[CompositeChannels]);
return(status);
}
MagickExport MagickBooleanType GetImageChannelDistortion(Image *image,
const Image *reconstruct_image,const ChannelType channel,
const MetricType metric,double *distortion,ExceptionInfo *exception)
{
double
*channel_distortion;
MagickBooleanType
status;
size_t
length;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickSignature);
assert(distortion != (double *) NULL);
*distortion=0.0;
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((reconstruct_image->columns != image->columns) ||
(reconstruct_image->rows != image->rows))
ThrowBinaryException(ImageError,"ImageSizeDiffers",image->filename);
/*
Get image distortion.
*/
length=CompositeChannels+1UL;
channel_distortion=(double *) AcquireQuantumMemory(length,
sizeof(*channel_distortion));
if (channel_distortion == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) ResetMagickMemory(channel_distortion,0,length*
sizeof(*channel_distortion));
switch (metric)
{
case AbsoluteErrorMetric:
{
status=GetAbsoluteDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case FuzzErrorMetric:
{
status=GetFuzzDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case MeanAbsoluteErrorMetric:
{
status=GetMeanAbsoluteDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case MeanErrorPerPixelMetric:
{
status=GetMeanErrorPerPixel(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case MeanSquaredErrorMetric:
{
status=GetMeanSquaredDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case NormalizedCrossCorrelationErrorMetric:
default:
{
status=GetNormalizedCrossCorrelationDistortion(image,reconstruct_image,
channel,channel_distortion,exception);
break;
}
case PeakAbsoluteErrorMetric:
{
status=GetPeakAbsoluteDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case PeakSignalToNoiseRatioMetric:
{
status=GetPeakSignalToNoiseRatio(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
case RootMeanSquaredErrorMetric:
{
status=GetRootMeanSquaredDistortion(image,reconstruct_image,channel,
channel_distortion,exception);
break;
}
}
*distortion=channel_distortion[CompositeChannels];
channel_distortion=(double *) RelinquishMagickMemory(channel_distortion);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l D i s t o r t i o n s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannelDistortions() compares the image channels of an image to a
% reconstructed image and returns the specified distortion metric for each
% channel.
%
% The format of the GetImageChannelDistortions method is:
%
% double *GetImageChannelDistortions(const Image *image,
% const Image *reconstruct_image,const MetricType metric,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
% o metric: the metric.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport double *GetImageChannelDistortions(Image *image,
const Image *reconstruct_image,const MetricType metric,
ExceptionInfo *exception)
{
double
*channel_distortion;
MagickBooleanType
status;
size_t
length;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if ((reconstruct_image->columns != image->columns) ||
(reconstruct_image->rows != image->rows))
{
(void) ThrowMagickException(&image->exception,GetMagickModule(),
ImageError,"ImageSizeDiffers","`%s'",image->filename);
return((double *) NULL);
}
/*
Get image distortion.
*/
length=CompositeChannels+1UL;
channel_distortion=(double *) AcquireQuantumMemory(length,
sizeof(*channel_distortion));
if (channel_distortion == (double *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
(void) ResetMagickMemory(channel_distortion,0,length*
sizeof(*channel_distortion));
status=MagickTrue;
switch (metric)
{
case AbsoluteErrorMetric:
{
status=GetAbsoluteDistortion(image,reconstruct_image,CompositeChannels,
channel_distortion,exception);
break;
}
case FuzzErrorMetric:
{
status=GetFuzzDistortion(image,reconstruct_image,CompositeChannels,
channel_distortion,exception);
break;
}
case MeanAbsoluteErrorMetric:
{
status=GetMeanAbsoluteDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case MeanErrorPerPixelMetric:
{
status=GetMeanErrorPerPixel(image,reconstruct_image,CompositeChannels,
channel_distortion,exception);
break;
}
case MeanSquaredErrorMetric:
{
status=GetMeanSquaredDistortion(image,reconstruct_image,CompositeChannels,
channel_distortion,exception);
break;
}
case NormalizedCrossCorrelationErrorMetric:
default:
{
status=GetNormalizedCrossCorrelationDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case PeakAbsoluteErrorMetric:
{
status=GetPeakAbsoluteDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case PeakSignalToNoiseRatioMetric:
{
status=GetPeakSignalToNoiseRatio(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
case RootMeanSquaredErrorMetric:
{
status=GetRootMeanSquaredDistortion(image,reconstruct_image,
CompositeChannels,channel_distortion,exception);
break;
}
}
if (status == MagickFalse)
{
channel_distortion=(double *) RelinquishMagickMemory(channel_distortion);
return((double *) NULL);
}
return(channel_distortion);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e s E q u a l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImagesEqual() measures the difference between colors at each pixel
% location of two images. A value other than 0 means the colors match
% exactly. Otherwise an error measure is computed by summing over all
% pixels in an image the distance squared in RGB space between each image
% pixel and its corresponding pixel in the reconstruct image. The error
% measure is assigned to these image members:
%
% o mean_error_per_pixel: The mean error for any single pixel in
% the image.
%
% o normalized_mean_error: The normalized mean quantization error for
% any single pixel in the image. This distance measure is normalized to
% a range between 0 and 1. It is independent of the range of red, green,
% and blue values in the image.
%
% o normalized_maximum_error: The normalized maximum quantization
% error for any single pixel in the image. This distance measure is
% normalized to a range between 0 and 1. It is independent of the range
% of red, green, and blue values in your image.
%
% A small normalized mean square error, accessed as
% image->normalized_mean_error, suggests the images are very similar in
% spatial layout and color.
%
% The format of the IsImagesEqual method is:
%
% MagickBooleanType IsImagesEqual(Image *image,
% const Image *reconstruct_image)
%
% A description of each parameter follows.
%
% o image: the image.
%
% o reconstruct_image: the reconstruct image.
%
*/
MagickExport MagickBooleanType IsImagesEqual(Image *image,
const Image *reconstruct_image)
{
CacheView
*image_view,
*reconstruct_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickRealType
area,
maximum_error,
mean_error,
mean_error_per_pixel;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
assert(reconstruct_image != (const Image *) NULL);
assert(reconstruct_image->signature == MagickSignature);
if ((reconstruct_image->columns != image->columns) ||
(reconstruct_image->rows != image->rows))
ThrowBinaryException(ImageError,"ImageSizeDiffers",image->filename);
area=0.0;
maximum_error=0.0;
mean_error_per_pixel=0.0;
mean_error=0.0;
exception=(&image->exception);
image_view=AcquireVirtualCacheView(image,exception);
reconstruct_view=AcquireVirtualCacheView(reconstruct_image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register const IndexPacket
*restrict indexes,
*restrict reconstruct_indexes;
register const PixelPacket
*restrict p,
*restrict q;
register ssize_t
x;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=GetCacheViewVirtualPixels(reconstruct_view,0,y,reconstruct_image->columns,
1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (const PixelPacket *) NULL))
break;
indexes=GetCacheViewVirtualIndexQueue(image_view);
reconstruct_indexes=GetCacheViewVirtualIndexQueue(reconstruct_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
MagickRealType
distance;
distance=fabs(GetPixelRed(p)-(double)
GetPixelRed(q));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
distance=fabs(GetPixelGreen(p)-(double)
GetPixelGreen(q));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
distance=fabs(GetPixelBlue(p)-(double)
GetPixelBlue(q));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
if (image->matte != MagickFalse)
{
distance=fabs(GetPixelOpacity(p)-(double)
GetPixelOpacity(q));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
if ((image->colorspace == CMYKColorspace) &&
(reconstruct_image->colorspace == CMYKColorspace))
{
distance=fabs(GetPixelIndex(indexes+x)-(double)
GetPixelIndex(reconstruct_indexes+x));
mean_error_per_pixel+=distance;
mean_error+=distance*distance;
if (distance > maximum_error)
maximum_error=distance;
area++;
}
p++;
q++;
}
}
reconstruct_view=DestroyCacheView(reconstruct_view);
image_view=DestroyCacheView(image_view);
image->error.mean_error_per_pixel=(double) (mean_error_per_pixel/area);
image->error.normalized_mean_error=(double) (QuantumScale*QuantumScale*
mean_error/area);
image->error.normalized_maximum_error=(double) (QuantumScale*maximum_error);
status=image->error.mean_error_per_pixel == 0.0 ? MagickTrue : MagickFalse;
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S i m i l a r i t y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SimilarityImage() compares the reference image of the image and returns the
% best match offset. In addition, it returns a similarity image such that an
% exact match location is completely white and if none of the pixels match,
% black, otherwise some gray level in-between.
%
% The format of the SimilarityImageImage method is:
%
% Image *SimilarityImage(const Image *image,const Image *reference,
% RectangleInfo *offset,double *similarity,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o reference: find an area of the image that closely resembles this image.
%
% o the best match offset of the reference image within the image.
%
% o similarity: the computed similarity between the images.
%
% o exception: return any errors or warnings in this structure.
%
*/
static double GetSimilarityMetric(const Image *image,const Image *reference,
const MetricType metric,const ssize_t x_offset,const ssize_t y_offset,
ExceptionInfo *exception)
{
double
distortion;
Image
*similarity_image;
MagickBooleanType
status;
RectangleInfo
geometry;
SetGeometry(reference,&geometry);
geometry.x=x_offset;
geometry.y=y_offset;
similarity_image=CropImage(image,&geometry,exception);
if (similarity_image == (Image *) NULL)
return(0.0);
distortion=0.0;
status=GetImageDistortion(similarity_image,reference,metric,&distortion,
exception);
(void) status;
similarity_image=DestroyImage(similarity_image);
return(distortion);
}
MagickExport Image *SimilarityImage(Image *image,const Image *reference,
RectangleInfo *offset,double *similarity_metric,ExceptionInfo *exception)
{
Image
*similarity_image;
similarity_image=SimilarityMetricImage(image,reference,
RootMeanSquaredErrorMetric,offset,similarity_metric,exception);
return(similarity_image);
}
MagickExport Image *SimilarityMetricImage(Image *image,const Image *reference,
const MetricType metric,RectangleInfo *offset,double *similarity_metric,
ExceptionInfo *exception)
{
#define SimilarityImageTag "Similarity/Image"
CacheView
*similarity_view;
Image
*similarity_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
assert(offset != (RectangleInfo *) NULL);
SetGeometry(reference,offset);
*similarity_metric=1.0;
if ((reference->columns > image->columns) || (reference->rows > image->rows))
ThrowImageException(ImageError,"ImageSizeDiffers");
similarity_image=CloneImage(image,image->columns-reference->columns+1,
image->rows-reference->rows+1,MagickTrue,exception);
if (similarity_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(similarity_image,DirectClass) == MagickFalse)
{
InheritException(exception,&similarity_image->exception);
similarity_image=DestroyImage(similarity_image);
return((Image *) NULL);
}
/*
Measure similarity of reference image against image.
*/
status=MagickTrue;
progress=0;
similarity_view=AcquireVirtualCacheView(similarity_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) (image->rows-reference->rows+1); y++)
{
double
similarity;
register ssize_t
x;
register PixelPacket
*restrict q;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(similarity_view,0,y,similarity_image->columns,
1,exception);
if (q == (const PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) (image->columns-reference->columns+1); x++)
{
similarity=GetSimilarityMetric(image,reference,metric,x,y,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SimilarityImage)
#endif
if (similarity < *similarity_metric)
{
*similarity_metric=similarity;
offset->x=x;
offset->y=y;
}
SetPixelRed(q,ClampToQuantum(QuantumRange-QuantumRange*
similarity));
SetPixelGreen(q,GetPixelRed(q));
SetPixelBlue(q,GetPixelRed(q));
q++;
}
if (SyncCacheViewAuthenticPixels(similarity_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SimilarityImage)
#endif
proceed=SetImageProgress(image,SimilarityImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
similarity_view=DestroyCacheView(similarity_view);
if (status == MagickFalse)
similarity_image=DestroyImage(similarity_image);
return(similarity_image);
}
|
tile.h | //********************************************************************************
// Copyright (c) 2007-2014 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: **
// * 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. **
//********************************************************************************
#include "cblas.h"
//
// A tile is a square matrix, used to tile a larger array
//
static int TILESIZE;
#define MINPIVOT 1E-12
static int tiles_created = 0;
static int tiles_deleted = 0;
enum construct_type {
C_INVERSE,
C_MULTIPLY,
C_MULTIPLY_NEGATE
};
class tile
{
double * const m_tile; //[TILESIZE*TILESIZE];
public:
tile()
: m_tile(new double [TILESIZE*TILESIZE])
{
#pragma omp atomic
tiles_created++;
}
tile( construct_type ct, const tile & op )
: m_tile(new double [TILESIZE*TILESIZE])
{
switch( ct ) {
case C_INVERSE:
op.inverse_( *this );
break;
default:
std::cerr << "Wrong argument to construtor\n";
exit(1);
break;
}
#pragma omp atomic
tiles_created++;
}
tile( construct_type ct, const tile obj, const tile & arg )
: m_tile(new double [TILESIZE*TILESIZE])
{
switch( ct ) {
case C_MULTIPLY:
obj.multiply_( arg, *this );
break;
case C_MULTIPLY_NEGATE:
obj.multiply_negate_( arg, *this );
break;
default:
std::cerr << "Wrong argument to construtor\n";
exit(1);
break;
}
#pragma omp atomic
tiles_created++;
}
~tile()
{
delete [] m_tile;
#pragma omp atomic
tiles_deleted++;
}
tile(const tile& t)
: m_tile(new double [TILESIZE*TILESIZE])
{
#pragma omp atomic
tiles_created++;
memcpy(m_tile, t.m_tile, sizeof(double) * TILESIZE * TILESIZE);
}
tile& operator=(const tile& t)
{
if (this != &t)
{
memcpy(m_tile, t.m_tile, sizeof(double) * TILESIZE * TILESIZE);
}
return *this;
}
inline void set(const int i, const int j, double d) { m_tile[i*TILESIZE+j] = d; }
inline double get(const int i, const int j) const { return m_tile[i*TILESIZE+j]; }
void dump( double epsilon = MINPIVOT ) const {
for (int i = 0; i < TILESIZE; i++ )
{
for (int j = 0; j < TILESIZE; j++ )
{
std::cout.width(10);
double t = get(i,j);
if (fabs(t) < MINPIVOT) t = 0.0;
std::cout << t << " ";
}
std::cout << std::endl;
}
}
int identity_check( double epsilon = MINPIVOT ) const {
int ecount = 0;
for (int i = 0; i < TILESIZE; i++ )
{
for (int j = 0; j < TILESIZE; j++ )
{
double t = get(i,j);
if ( i == j && ( fabs(t-1.0) < epsilon ) ) continue;
if ( fabs(t) < epsilon) continue;
std::cout << "(" << i << "," << j << "):" << t << std::endl;
ecount++;
}
}
return ecount;
}
int zero_check( double epsilon = MINPIVOT ) const
{
int ecount = 0;
for (int i = 0; i < TILESIZE; i++ )
{
for (int j = 0; j < TILESIZE; j++ )
{
double t = get(i,j);
if ( fabs(t) < epsilon) continue;
std::cout << "(" << i << "," << j << "):" << t << std::endl;
ecount++;
}
}
return ecount;
}
int equal( const tile& t ) const
{
for (int i = 0; i < TILESIZE; i++ )
{
for (int j = 0; j < TILESIZE; j++ )
{
if (get(i,j) != t.get(i,j)) return false;
}
}
return true;
}
//b = inverse(*this)
void inverse_( tile& b ) const
{
b = *this;
for (int n = 0; n < TILESIZE; n++)
{
double pivot = b.get(n,n);
if (fabs(pivot) < MINPIVOT)
{
std::cout <<"Pivot too small! Pivot( " << pivot << ")" << std::endl;
b.dump();
exit(0);
}
double pivot_inverse = 1/pivot;
double row[TILESIZE];
row[n]= pivot_inverse;
b.set(n,n,pivot_inverse);
for (int j = 0; j < TILESIZE; j++)
{
if (j == n) continue;
row[j] = b.get(n,j) * pivot_inverse;
b.set(n,j,row[j]);
}
for (int i = 0; i < TILESIZE; i++)
{
if (i == n) continue;
double tin = b.get(i,n);
b.set(i,n, -tin*row[n]);
for (int j = 0; j < TILESIZE; j++)
{
if (j == n) continue;
b.set(i,j, b.get(i,j) - tin*row[j]);
}
}
}
}
//b = inverse(*this)
tile inverse() const
{
tile b;
inverse_( b );
return b;
}
// c = this * b
void multiply_( const tile &b, tile & c ) const
{
cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
TILESIZE, TILESIZE, TILESIZE,
1., (double *)m_tile, TILESIZE, (double *)b.m_tile, TILESIZE, 0., c.m_tile, TILESIZE);
}
tile multiply( const tile &b ) const
{
tile c;
multiply_( b, c );
return c;
}
// c = -(this * b)
void multiply_negate_( const tile& b, tile & c ) const
{
cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
TILESIZE, TILESIZE, TILESIZE,
-1., (double *)m_tile, TILESIZE, (double *)b.m_tile, TILESIZE, 0., c.m_tile, TILESIZE);
}
tile multiply_negate( const tile& b ) const
{
tile c;
multiply_negate_( b, c );
return c;
}
// d = this - (b * c)
tile multiply_subtract(const tile& b, const tile& c ) const
{
tile d = *this;
cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
TILESIZE, TILESIZE, TILESIZE,
-1., (double *)b.m_tile, TILESIZE, (double *)c.m_tile, TILESIZE, 1., d.m_tile, TILESIZE);
return d;
}
// this = this - (b * c)
void multiply_subtract_in_place( const tile& b, const tile& c )
{
cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
TILESIZE, TILESIZE, TILESIZE,
-1., (double *)b.m_tile, TILESIZE, (double *)c.m_tile, TILESIZE, 1., m_tile, TILESIZE);
}
// d = this + (b * c)
tile multiply_add( const tile& b, const tile& c ) const
{
tile d = *this;
cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
TILESIZE, TILESIZE, TILESIZE,
1., (double *)b.m_tile, TILESIZE, (double *)c.m_tile, TILESIZE, 1., d.m_tile, TILESIZE);
return d;
}
// this = this + (b * c)
void multiply_add_in_place( const tile& b, const tile& c )
{
cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
TILESIZE, TILESIZE, TILESIZE,
1., (double *)b.m_tile, TILESIZE, (double *)c.m_tile, TILESIZE, 1., m_tile, TILESIZE);
}
// this = 0.0;
void zero()
{
for (int i = 0; i < TILESIZE; i++)
for (int j = 0; j < TILESIZE; j++)
set(i,j,0.0);
}
};
|
ordered-3.c | /* { dg-do compile } */
/* { dg-options "-fopenmp" } */
void
foo (void)
{
int i;
#pragma omp for ordered
for (i = 0; i < 64; i++)
{
#pragma omp ordered
;
}
#pragma omp for ordered
for (i = 0; i < 64; i++)
{
#pragma omp ordered threads
;
}
#pragma omp for ordered
for (i = 0; i < 64; i++)
{
#pragma omp ordered threads threads /* { dg-error "too many .threads. clauses" } */
;
}
#pragma omp simd
for (i = 0; i < 64; i++)
{
#pragma omp ordered simd
;
}
#pragma omp simd
for (i = 0; i < 64; i++)
{
#pragma omp ordered simd simd /* { dg-error "too many .simd. clauses" } */
;
}
#pragma omp for simd ordered
for (i = 0; i < 64; i++)
{
#pragma omp ordered threads, simd
;
}
#pragma omp for simd ordered
for (i = 0; i < 64; i++)
{
#pragma omp ordered threads, simd, threads, simd /* { dg-error "too many .threads. clauses" } */
; /* { dg-error "too many .simd. clauses" "" { target *-*-* } .-1 } */
}
#pragma omp for simd ordered(1) /* { dg-error ".ordered. clause with parameter may not be specified on .#pragma omp for simd. construct" } */
for (i = 0; i < 64; i++)
{
#pragma omp ordered depend(sink: i - 1) /* { dg-error "clause must be closely nested inside a loop with .ordered. clause with a parameter" } */
#pragma omp ordered depend(source) /* { dg-error "clause must be closely nested inside a loop with .ordered. clause with a parameter" } */
}
#pragma omp parallel for simd ordered(1) /* { dg-error ".ordered. clause with parameter may not be specified on .#pragma omp parallel for simd. construct" } */
for (i = 0; i < 64; i++)
{
#pragma omp ordered depend(sink: i - 1) /* { dg-error "clause must be closely nested inside a loop with .ordered. clause with a parameter" } */
#pragma omp ordered depend(source) /* { dg-error "clause must be closely nested inside a loop with .ordered. clause with a parameter" } */
}
#pragma omp parallel for ordered
for (i = 0; i < 64; i++)
{
#pragma omp ordered depend(sink: i - 1) /* { dg-error "clause must be closely nested inside a loop with .ordered. clause with a parameter" } */
#pragma omp ordered depend(source) /* { dg-error "clause must be closely nested inside a loop with .ordered. clause with a parameter" } */
}
#pragma omp parallel for
for (i = 0; i < 64; i++)
{
#pragma omp ordered depend(sink: i - 1) /* { dg-error "clause must be closely nested inside a loop with .ordered. clause with a parameter" } */
#pragma omp ordered depend(source) /* { dg-error "clause must be closely nested inside a loop with .ordered. clause with a parameter" } */
}
}
void
bar (int x)
{
switch (x)
{
case 0:
#pragma omp ordered
;
break;
case 1:
#pragma omp ordered threads
;
break;
case 2:
#pragma omp ordered threads, threads /* { dg-error "too many .threads. clauses" } */
;
break;
}
}
void
baz (void)
{
#pragma omp ordered simd
;
#pragma omp ordered simd, simd /* { dg-error "too many .simd. clauses" } */
;
}
|
atom_symmetry_class.h | // Copyright (c) 2013-2016 Anton Kozhevnikov, Thomas Schulthess
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without modification, are permitted provided that
// the following conditions are met:
//
// 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the
// following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions
// and the following disclaimer in the documentation and/or other materials provided with the distribution.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED
// WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
// PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
// ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
// OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
/** \file atom_symmetry_class.h
*
* \brief Contains declaration and partial implementation of sirius::Atom_symmetry_class class.
*/
#ifndef __ATOM_SYMMETRY_CLASS_H__
#define __ATOM_SYMMETRY_CLASS_H__
#include "sirius_io.h"
#include "atom_type.h"
#include "communicator.hpp"
#include "eigenproblem.h"
namespace sirius {
/// Data and methods specific to the symmetry class of the atom.
/** Atoms transforming into each other under symmetry opeartions belong to the same symmetry class. They have the
* same spherical part of the on-site potential and, as a consequence, the same radial functions.
*/
class Atom_symmetry_class
{
private:
/// Symmetry class id in the range [0, N_class).
int id_;
/// List of atoms of this class.
std::vector<int> atom_id_;
/// Pointer to atom type.
Atom_type const& atom_type_;
/// Spherical part of the effective potential.
std::vector<double> spherical_potential_;
/// List of radial functions for the LAPW basis.
/** This array stores all the radial functions (AW and LO) and their derivatives. Radial derivatives of functions
* are multiplied by \f$ x \f$.\n
* 1-st dimension: index of radial point \n
* 2-nd dimension: index of radial function \n
* 3-nd dimension: 0 - function itself, 1 - radial derivative */
mdarray<double, 3> radial_functions_;
/// Surface derivatives of AW radial functions.
mdarray<double, 3> aw_surface_derivatives_;
/// Spherical part of radial integral.
mdarray<double, 2> h_spherical_integrals_;
/// Overlap integrals.
mdarray<double, 3> o_radial_integrals_;
/// Overlap integrals for IORA relativistic treatment.
mdarray<double, 2> o1_radial_integrals_;
/// Spin-orbit interaction integrals.
mdarray<double, 3> so_radial_integrals_;
/// Core charge density.
std::vector<double> core_charge_density_;
/// Core eigen-value sum.
double core_eval_sum_{0};
/// Core leakage.
double core_leakage_{0};
/// list of radial descriptor sets used to construct augmented waves
mutable std::vector<radial_solution_descriptor_set> aw_descriptors_;
/// list of radial descriptor sets used to construct local orbitals
mutable std::vector<local_orbital_descriptor> lo_descriptors_;
/// Generate radial functions for augmented waves
inline void generate_aw_radial_functions(relativity_t rel__);
/// Generate local orbital raidal functions
inline void generate_lo_radial_functions(relativity_t rel__);
public:
/// Constructor
Atom_symmetry_class(int id_, Atom_type const& atom_type_)
: id_(id_)
, atom_type_(atom_type_)
{
if (!atom_type_.initialized()) {
TERMINATE("atom type is not initialized");
}
aw_surface_derivatives_ = mdarray<double, 3>(atom_type_.max_aw_order(), atom_type_.num_aw_descriptors(), 3);
radial_functions_ = mdarray<double, 3>(atom_type_.num_mt_points(), atom_type_.mt_radial_basis_size(), 2);
h_spherical_integrals_ = mdarray<double, 2>(atom_type_.mt_radial_basis_size(), atom_type_.mt_radial_basis_size());
h_spherical_integrals_.zero();
o_radial_integrals_ = mdarray<double, 3>(atom_type_.indexr().lmax() + 1, atom_type_.indexr().max_num_rf(),
atom_type_.indexr().max_num_rf());
o_radial_integrals_.zero();
so_radial_integrals_ = mdarray<double, 3>(atom_type_.indexr().lmax() + 1, atom_type_.indexr().max_num_rf(),
atom_type_.indexr().max_num_rf());
so_radial_integrals_.zero();
if (atom_type_.parameters().valence_relativity() == relativity_t::iora) {
o1_radial_integrals_ = mdarray<double, 2>(atom_type_.mt_radial_basis_size(), atom_type_.mt_radial_basis_size());
o1_radial_integrals_.zero();
}
/* copy descriptors because enu is defferent between atom classes */
aw_descriptors_.resize(atom_type_.num_aw_descriptors());
for (int i = 0; i < num_aw_descriptors(); i++) {
aw_descriptors_[i] = atom_type_.aw_descriptor(i);
}
lo_descriptors_.resize(atom_type_.num_lo_descriptors());
for (int i = 0; i < num_lo_descriptors(); i++) {
lo_descriptors_[i] = atom_type_.lo_descriptor(i);
}
core_charge_density_.resize(atom_type_.num_mt_points());
std::memset(&core_charge_density_[0], 0, atom_type_.num_mt_points() * sizeof(double));
}
/// Set the spherical component of the potential
/** Atoms belonging to the same symmetry class have the same spherical potential. */
inline void set_spherical_potential(std::vector<double> const& vs__);
inline void generate_radial_functions(relativity_t rel__);
inline void sync_radial_functions(Communicator const& comm__, int const rank__);
inline void sync_radial_integrals(Communicator const& comm__, int const rank__);
inline void sync_core_charge_density(Communicator const& comm__, int const rank__);
/// Check if local orbitals are linearly independent
inline std::vector<int> check_lo_linear_independence(double etol__);
/// Dump local orbitals to the file for debug purposes
inline void dump_lo();
/// Find core states and generate core density.
inline void generate_core_charge_density(relativity_t core_rel__);
inline void find_enu(relativity_t rel__);
inline void write_enu(runtime::pstdout& pout) const;
/// Generate radial overlap and SO integrals
/** In the case of spin-orbit interaction the following integrals are computed:
* \f[
* \int f_{p}(r) \Big( \frac{1}{(2 M c)^2} \frac{1}{r} \frac{d V}{d r} \Big) f_{p'}(r) r^2 dr
* \f]
*
* Relativistic mass M is defined as
* \f[
* M = 1 - \frac{1}{2 c^2} V
* \f]
*/
inline void generate_radial_integrals(relativity_t rel__);
/// Compute m-th order radial derivative at the MT surface.
inline double aw_surface_dm(int l, int order, int dm) const
{
assert(dm <= 2);
return aw_surface_derivatives_(order, l, dm);
}
inline void set_aw_surface_deriv(int l, int order, int dm, double deriv)
{
assert(dm <= 2);
aw_surface_derivatives_(order, l, dm) = deriv;
}
/// Return symmetry class id.
inline int id() const
{
return id_;
}
/// Add atom id to the current class.
inline void add_atom_id(int atom_id__)
{
atom_id_.push_back(atom_id__);
}
/// Return number of atoms belonging to the current symmetry class.
inline int num_atoms() const
{
return static_cast<int>(atom_id_.size());
}
inline int atom_id(int idx) const
{
return atom_id_[idx];
}
/// Get a value of the radial functions.
inline double radial_function(int ir, int idx) const
{
return radial_functions_(ir, idx, 0);
}
/// Get a reference to the value of the radial function.
inline double& radial_function(int ir, int idx)
{
return radial_functions_(ir, idx, 0);
}
/// Get a value of the radial function derivative.
inline double radial_function_derivative(int ir, int idx) const
{
return radial_functions_(ir, idx, 1);
}
/// Get a reference to the value of the radial function derivative.
inline double& radial_function_derivative(int ir, int idx)
{
return radial_functions_(ir, idx, 1);
}
inline double h_spherical_integral(int i1, int i2) const
{
return h_spherical_integrals_(i1, i2);
}
inline double const& o_radial_integral(int l, int order1, int order2) const
{
return o_radial_integrals_(l, order1, order2);
}
inline void set_o_radial_integral(int l, int order1, int order2, double oint__)
{
o_radial_integrals_(l, order1, order2) = oint__;
}
inline double const& o1_radial_integral(int xi1__, int xi2__) const
{
return o1_radial_integrals_(xi1__, xi2__);
}
inline void set_o1_radial_integral(int idxrf1__, int idxrf2__, double val__)
{
o1_radial_integrals_(idxrf1__, idxrf2__) = val__;
}
inline double so_radial_integral(int l, int order1, int order2) const
{
return so_radial_integrals_(l, order1, order2);
}
inline double core_charge_density(int ir) const
{
assert(ir >= 0 && ir < (int)core_charge_density_.size());
return core_charge_density_[ir];
}
inline Atom_type const& atom_type() const
{
return atom_type_;
}
inline double core_eval_sum() const
{
return core_eval_sum_;
}
inline double core_leakage() const
{
return core_leakage_;
}
inline int num_aw_descriptors() const
{
return static_cast<int>(aw_descriptors_.size());
}
inline radial_solution_descriptor_set& aw_descriptor(int idx__) const
{
return aw_descriptors_[idx__];
}
inline int num_lo_descriptors() const
{
return static_cast<int>(lo_descriptors_.size());
}
inline local_orbital_descriptor& lo_descriptor(int idx__) const
{
return lo_descriptors_[idx__];
}
inline void set_aw_enu(int l, int order, double enu)
{
aw_descriptors_[l][order].enu = enu;
}
inline double get_aw_enu(int l, int order) const
{
return aw_descriptors_[l][order].enu;
}
inline void set_lo_enu(int idxlo, int order, double enu)
{
lo_descriptors_[idxlo].rsd_set[order].enu = enu;
}
inline double get_lo_enu(int idxlo, int order) const
{
return lo_descriptors_[idxlo].rsd_set[order].enu;
}
};
inline void Atom_symmetry_class::generate_aw_radial_functions(relativity_t rel__)
{
int nmtp = atom_type_.num_mt_points();
Radial_solver solver(atom_type_.zn(), spherical_potential_, atom_type_.radial_grid());
#pragma omp parallel default(shared)
{
Spline<double> s(atom_type_.radial_grid());
std::vector<double> p;
std::vector<double> rdudr;
std::array<double, 2> uderiv;
#pragma omp for schedule(dynamic, 1)
for (int l = 0; l < num_aw_descriptors(); l++) {
for (int order = 0; order < (int)aw_descriptor(l).size(); order++) {
auto rsd = aw_descriptor(l)[order];
int idxrf = atom_type_.indexr().index_by_l_order(l, order);
solver.solve(rel__, rsd.dme, rsd.l, rsd.enu, p, rdudr, uderiv);
/* normalize */
for (int ir = 0; ir < nmtp; ir++) {
s[ir] = std::pow(p[ir], 2);
}
double norm = 1.0 / std::sqrt(s.interpolate().integrate(0));
for (int ir = 0; ir < nmtp; ir++) {
radial_functions_(ir, idxrf, 0) = p[ir] * norm;
radial_functions_(ir, idxrf, 1) = rdudr[ir] * norm;
}
aw_surface_derivatives_(order, l, 0) = norm * p.back() / atom_type_.mt_radius();
for (int i: {0, 1}) {
aw_surface_derivatives_(order, l, i + 1) = uderiv[i] * norm;
}
/* orthogonalize to previous radial functions */
for (int order1 = 0; order1 < order; order1++) {
int idxrf1 = atom_type_.indexr().index_by_l_order(l, order1);
for (int ir = 0; ir < nmtp; ir++) {
s[ir] = radial_functions_(ir, idxrf, 0) * radial_functions_(ir, idxrf1, 0);
}
/* <u_{\nu'}|u_{\nu}> */
double ovlp = s.interpolate().integrate(0);
for (int ir = 0; ir < nmtp; ir++) {
radial_functions_(ir, idxrf, 0) -= radial_functions_(ir, idxrf1, 0) * ovlp;
radial_functions_(ir, idxrf, 1) -= radial_functions_(ir, idxrf1, 1) * ovlp;
}
for (int i: {0, 1, 2}) {
aw_surface_derivatives_(order, l, i) -= aw_surface_derivatives_(order1, l, i) * ovlp;
}
}
/* normalize again */
for (int ir = 0; ir < nmtp; ir++) {
s[ir] = std::pow(radial_functions_(ir, idxrf, 0), 2);
}
norm = s.interpolate().integrate(0);
if (std::abs(norm) < 1e-10) {
TERMINATE("aw radial functions are linearly dependent");
}
norm = 1.0 / std::sqrt(norm);
for (int ir = 0; ir < nmtp; ir++) {
radial_functions_(ir, idxrf, 0) *= norm;
radial_functions_(ir, idxrf, 1) *= norm;
}
for (int i: {0, 1, 2}) {
aw_surface_derivatives_(order, l, i) *= norm;
}
}
/* divide by r */
for (int order = 0; order < (int)aw_descriptor(l).size(); order++) {
int idxrf = atom_type_.indexr().index_by_l_order(l, order);
for (int ir = 0; ir < nmtp; ir++) {
radial_functions_(ir, idxrf, 0) *= atom_type_.radial_grid().x_inv(ir);
}
}
}
}
}
inline void Atom_symmetry_class::generate_lo_radial_functions(relativity_t rel__)
{
int nmtp = atom_type_.num_mt_points();
Radial_solver solver(atom_type_.zn(), spherical_potential_, atom_type_.radial_grid());
#pragma omp parallel default(shared)
{
Spline<double> s(atom_type_.radial_grid());
double a[3][3];
#pragma omp for schedule(dynamic, 1)
for (int idxlo = 0; idxlo < num_lo_descriptors(); idxlo++) {
/* number of radial solutions */
int num_rs = static_cast<int>(lo_descriptor(idxlo).rsd_set.size());
assert(num_rs <= 3);
std::vector<std::vector<double>> p(num_rs);
std::vector<std::vector<double>> rdudr(num_rs);
std::array<double, 2> uderiv;
for (int order = 0; order < num_rs; order++) {
auto rsd = lo_descriptor(idxlo).rsd_set[order];
solver.solve(rel__, rsd.dme, rsd.l, rsd.enu, p[order], rdudr[order], uderiv);
/* find norm of the radial solution */
for (int ir = 0; ir < nmtp; ir++) {
s[ir] = std::pow(p[order][ir], 2);
}
double norm = 1.0 / std::sqrt(s.interpolate().integrate(0));
/* normalize radial solution and divide by r */
for (int ir = 0; ir < nmtp; ir++) {
p[order][ir] *= (norm * atom_type_.radial_grid().x_inv(ir));
/* don't divide rdudr by r */
rdudr[order][ir] *= norm;
}
uderiv[0] *= norm;
uderiv[1] *= norm;
/* matrix of derivatives */
a[order][0] = p[order].back();
a[order][1] = uderiv[0];
a[order][2] = uderiv[1];
}
double b[] = {0, 0, 0};
b[num_rs - 1] = 1.0;
int info = linalg<CPU>::gesv(num_rs, 1, &a[0][0], 3, b, 3);
if (info) {
std::stringstream s;
s << "a[i][j] = ";
for (int i = 0; i < num_rs; i++) {
for (int j = 0; j < num_rs; j++) {
s << a[i][j] << " ";
}
}
s << std::endl;
s << "atom: " << atom_type_.label() << std::endl
<< "zn: " << atom_type_.zn() << std::endl
<< "l: " << lo_descriptor(idxlo).l << std::endl;
s << "gesv returned " << info;
TERMINATE(s);
}
/* index of local orbital radial function */
int idxrf = atom_type_.indexr().index_by_idxlo(idxlo);
/* take linear combination of radial solutions */
for (int order = 0; order < num_rs; order++) {
for (int ir = 0; ir < nmtp; ir++) {
radial_functions_(ir, idxrf, 0) += b[order] * p[order][ir];
radial_functions_(ir, idxrf, 1) += b[order] * rdudr[order][ir];
}
}
/* find norm of constructed local orbital */
for (int ir = 0; ir < nmtp; ir++) {
s[ir] = std::pow(radial_functions_(ir, idxrf, 0), 2);
}
double norm = 1.0 / std::sqrt(s.interpolate().integrate(2));
/* normalize */
for (int ir = 0; ir < nmtp; ir++) {
radial_functions_(ir, idxrf, 0) *= norm;
radial_functions_(ir, idxrf, 1) *= norm;
}
if (std::abs(radial_functions_(nmtp - 1, idxrf, 0)) > 1e-10) {
std::stringstream s;
s << "local orbital " << idxlo << " is not zero at MT boundary" << std::endl
<< " atom symmetry class id : " << id() << " (" << atom_type().symbol() << ")" << std::endl
<< " value : " << radial_functions_(nmtp - 1, idxrf, 0) << std::endl
<< " number of MT points: " << nmtp << std::endl
<< " MT radius: " << atom_type_.radial_grid().last() << std::endl
<< " b_coeffs: ";
for (int j = 0; j < num_rs; j++) {
s << b[j] << " ";
}
WARNING(s);
}
}
}
if (atom_type_.parameters().control().verification_ > 0 && num_lo_descriptors() > 0) {
check_lo_linear_independence(0.0001);
}
}
inline std::vector<int> Atom_symmetry_class::check_lo_linear_independence(double tol__)
{
int nmtp = atom_type_.num_mt_points();
Spline<double> s(atom_type_.radial_grid());
mdarray<double, 2> loprod(num_lo_descriptors(), num_lo_descriptors());
loprod.zero();
for (int idxlo1 = 0; idxlo1 < num_lo_descriptors(); idxlo1++) {
int idxrf1 = atom_type_.indexr().index_by_idxlo(idxlo1);
for (int idxlo2 = 0; idxlo2 < num_lo_descriptors(); idxlo2++) {
int idxrf2 = atom_type_.indexr().index_by_idxlo(idxlo2);
if (lo_descriptor(idxlo1).l == lo_descriptor(idxlo2).l) {
for (int ir = 0; ir < nmtp; ir++) {
s[ir] = radial_functions_(ir, idxrf1, 0) * radial_functions_(ir, idxrf2, 0);
}
loprod(idxlo1, idxlo2) = s.interpolate().integrate(2);
}
}
}
mdarray<double, 2> ovlp(num_lo_descriptors(), num_lo_descriptors());
loprod >> ovlp;
Eigenproblem_lapack stdevp;
std::vector<double> loprod_eval(num_lo_descriptors());
mdarray<double, 2> loprod_evec(num_lo_descriptors(), num_lo_descriptors());
stdevp.solve(num_lo_descriptors(), loprod.at<CPU>(), loprod.ld(), &loprod_eval[0],
loprod_evec.at<CPU>(), loprod_evec.ld());
if (std::abs(loprod_eval[0]) < tol__) {
printf("\n");
printf("local orbitals for atom symmetry class %i are almost linearly dependent\n", id_);
printf("local orbitals overlap matrix:\n");
for (int i = 0; i < num_lo_descriptors(); i++) {
for (int j = 0; j < num_lo_descriptors(); j++) {
printf("%12.6f", ovlp(i, j));
}
printf("\n");
}
printf("overlap matrix eigen-values:\n");
for (int i = 0; i < num_lo_descriptors(); i++) {
printf("%12.6f", loprod_eval[i]);
}
printf("\n");
printf("smallest eigenvalue: %20.16f\n", loprod_eval[0]);
}
std::vector<int> inc(num_lo_descriptors(), 0);
/* try all local orbitals */
for (int i = 0; i < num_lo_descriptors(); i++) {
inc[i] = 1;
std::vector<int> ilo;
for (int j = 0; j < num_lo_descriptors(); j++) {
if (inc[j] == 1) {
ilo.push_back(j);
}
}
std::vector<double> eval(ilo.size());
mdarray<double, 2> evec(ilo.size(), ilo.size());
mdarray<double, 2> tmp(ilo.size(), ilo.size());
for (size_t j1 = 0; j1 < ilo.size(); j1++) {
for (size_t j2 = 0; j2 < ilo.size(); j2++) {
tmp(j1, j2) = ovlp(ilo[j1], ilo[j2]);
}
}
stdevp.solve(static_cast<int>(ilo.size()), tmp.at<CPU>(), tmp.ld(), &eval[0], evec.at<CPU>(), evec.ld());
if (eval[0] < tol__) {
printf("local orbital %i can be removed\n", i);
inc[i] = 0;
}
}
return inc;
}
inline void Atom_symmetry_class::dump_lo()
{
std::stringstream s;
s << "local_orbitals_" << id_ << ".dat";
FILE* fout = fopen(s.str().c_str(), "w");
for (int ir = 0; ir <atom_type_.num_mt_points(); ir++) {
fprintf(fout, "%f ", atom_type_.radial_grid(ir));
for (int idxlo = 0; idxlo < num_lo_descriptors(); idxlo++) {
int idxrf = atom_type_.indexr().index_by_idxlo(idxlo);
fprintf(fout, "%f ", radial_functions_(ir, idxrf, 0));
}
fprintf(fout, "\n");
}
fclose(fout);
s.str("");
s << "local_orbitals_deriv_" << id_ << ".dat";
fout = fopen(s.str().c_str(), "w");
for (int ir = 0; ir <atom_type_.num_mt_points(); ir++) {
fprintf(fout, "%f ", atom_type_.radial_grid(ir));
for (int idxlo = 0; idxlo < num_lo_descriptors(); idxlo++) {
int idxrf = atom_type_.indexr().index_by_idxlo(idxlo);
fprintf(fout, "%f ", radial_functions_(ir, idxrf, 1));
}
fprintf(fout, "\n");
}
fclose(fout);
}
inline void Atom_symmetry_class::set_spherical_potential(std::vector<double> const& vs__)
{
if (atom_type_.num_mt_points() != (int)vs__.size()) {
TERMINATE("wrong size of effective potential array");
}
spherical_potential_ = vs__;
//HDF5_tree fout("mt_potential.h5", true);
//fout.write("potential", spherical_potential_);
///* write spherical potential */
//std::stringstream sstr;
//sstr << "mt_spheric_potential_" << id_ << ".dat";
//FILE* fout = fopen(sstr.str().c_str(), "w");
//for (int ir = 0; ir < atom_type_.num_mt_points(); ir++) {
// double r = atom_type_.radial_grid(ir);
// fprintf(fout, "%20.10f %20.10f \n", r, spherical_potential_[ir] + atom_type_.zn() / r);
//}
//fclose(fout);
}
inline void Atom_symmetry_class::find_enu(relativity_t rel__)
{
PROFILE("sirius::Atom_symmetry_class::find_enu");
std::vector<radial_solution_descriptor*> rs_with_auto_enu;
/* find which aw functions need auto enu */
for (int l = 0; l < num_aw_descriptors(); l++) {
for (size_t order = 0; order < aw_descriptor(l).size(); order++) {
auto& rsd = aw_descriptor(l)[order];
if (rsd.auto_enu) {
rs_with_auto_enu.push_back(&rsd);
}
}
}
/* find which lo functions need auto enu */
for (int idxlo = 0; idxlo < num_lo_descriptors(); idxlo++) {
/* number of radial solutions */
size_t num_rs = lo_descriptor(idxlo).rsd_set.size();
for (size_t order = 0; order < num_rs; order++) {
auto& rsd = lo_descriptor(idxlo).rsd_set[order];
if (rsd.auto_enu) {
rs_with_auto_enu.push_back(&rsd);
}
}
}
#pragma omp parallel for
for (size_t i = 0; i < rs_with_auto_enu.size(); i++) {
auto rsd = rs_with_auto_enu[i];
rsd->enu = Enu_finder(rel__, atom_type_.zn(), rsd->n, rsd->l, atom_type_.radial_grid(), spherical_potential_, rsd->enu).enu();
}
}
inline void Atom_symmetry_class::generate_radial_functions(relativity_t rel__)
{
PROFILE("sirius::Atom_symmetry_class::generate_radial_functions");
radial_functions_.zero();
find_enu(rel__);
generate_aw_radial_functions(rel__);
generate_lo_radial_functions(rel__);
#ifdef __PRINT_OBJECT_CHECKSUM
DUMP("checksum(spherical_potential): %18.10f", mdarray<double, 1>(spherical_potential_.data(), atom_type_.num_mt_points()).checksum());
DUMP("checksum(radial_functions): %18.10f", radial_functions_.checksum());
#endif
//** if (true)
//** {
//** std::stringstream s;
//** s << "radial_functions_" << id_ << ".dat";
//** FILE* fout = fopen(s.str().c_str(), "w");
//** for (int ir = 0; ir <atom_type_.num_mt_points(); ir++)
//** {
//** fprintf(fout, "%f ", atom_type_.radial_grid(ir));
//** for (int idxrf = 0; idxrf < atom_type_.indexr().size(); idxrf++)
//** {
//** fprintf(fout, "%f ", radial_functions_(ir, idxrf, 0));
//** }
//** fprintf(fout, "\n");
//** }
//** fclose(fout);
//** }
//** STOP();
}
inline void Atom_symmetry_class::sync_radial_functions(Communicator const& comm__, int const rank__)
{
/* don't broadcast Hamiltonian radial functions, because they are used locally */
int size = (int)(radial_functions_.size(0) * radial_functions_.size(1));
comm__.bcast(radial_functions_.at<CPU>(), size, rank__);
comm__.bcast(aw_surface_derivatives_.at<CPU>(), (int)aw_surface_derivatives_.size(), rank__);
// TODO: sync enu to pass to Exciting / Elk
}
inline void Atom_symmetry_class::sync_radial_integrals(Communicator const& comm__, int const rank__)
{
comm__.bcast(h_spherical_integrals_.at<CPU>(), (int)h_spherical_integrals_.size(), rank__);
comm__.bcast(o_radial_integrals_.at<CPU>(), (int)o_radial_integrals_.size(), rank__);
comm__.bcast(so_radial_integrals_.at<CPU>(), (int)so_radial_integrals_.size(), rank__);
if (atom_type_.parameters().valence_relativity() == relativity_t::iora) {
comm__.bcast(o1_radial_integrals_.at<CPU>(), (int)o1_radial_integrals_.size(), rank__);
}
}
inline void Atom_symmetry_class::sync_core_charge_density(Communicator const& comm__, int const rank__)
{
assert(core_charge_density_.size() != 0);
comm__.bcast(&core_charge_density_[0], atom_type_.radial_grid().num_points(), rank__);
comm__.bcast(&core_leakage_, 1, rank__);
comm__.bcast(&core_eval_sum_, 1, rank__);
}
inline void Atom_symmetry_class::generate_radial_integrals(relativity_t rel__)
{
PROFILE("sirius::Atom_symmetry_class::generate_radial_integrals");
int nmtp = atom_type_.num_mt_points();
double sq_alpha_half = 0.5 * std::pow(speed_of_light, -2);
if (rel__ == relativity_t::none) {
sq_alpha_half = 0;
}
h_spherical_integrals_.zero();
#pragma omp parallel default(shared)
{
Spline<double> s(atom_type_.radial_grid());
#pragma omp for
for (int i1 = 0; i1 < atom_type_.mt_radial_basis_size(); i1++) {
for (int i2 = 0; i2 < atom_type_.mt_radial_basis_size(); i2++) {
/* for spherical part of potential integrals are diagonal in l */
if (atom_type_.indexr(i1).l == atom_type_.indexr(i2).l) {
int ll = atom_type_.indexr(i1).l * (atom_type_.indexr(i1).l + 1);
for (int ir = 0; ir < nmtp; ir++) {
double Minv = 1.0 / (1 - spherical_potential_[ir] * sq_alpha_half);
/* u_1(r) * u_2(r) */
double t0 = radial_functions_(ir, i1, 0) * radial_functions_(ir, i2, 0);
/* r*u'_1(r) * r*u'_2(r) */
double t1 = radial_functions_(ir, i1, 1) * radial_functions_(ir, i2, 1);
s[ir] = 0.5 * t1 * Minv + t0 * (0.5 * ll * Minv + spherical_potential_[ir] * std::pow(atom_type_.radial_grid(ir), 2));
}
h_spherical_integrals_(i1, i2) = s.interpolate().integrate(0) / y00;
}
}
}
}
o_radial_integrals_.zero();
#pragma omp parallel default(shared)
{
Spline<double> s(atom_type_.radial_grid());
#pragma omp for
for (int l = 0; l <= atom_type_.indexr().lmax(); l++) {
int nrf = atom_type_.indexr().num_rf(l);
for (int order1 = 0; order1 < nrf; order1++) {
int idxrf1 = atom_type_.indexr().index_by_l_order(l, order1);
for (int order2 = 0; order2 < nrf; order2++) {
int idxrf2 = atom_type_.indexr().index_by_l_order(l, order2);
if (order1 == order2) {
o_radial_integrals_(l, order1, order2) = 1.0;
} else {
for (int ir = 0; ir < nmtp; ir++) {
s[ir] = radial_functions_(ir, idxrf1, 0) * radial_functions_(ir, idxrf2, 0);
}
o_radial_integrals_(l, order1, order2) = s.interpolate().integrate(2);
}
}
}
}
}
if (atom_type_.parameters().valence_relativity() == relativity_t::iora) {
o1_radial_integrals_.zero();
#pragma omp parallel default(shared)
{
Spline<double> s(atom_type_.radial_grid());
#pragma omp for
for (int i1 = 0; i1 < atom_type_.mt_radial_basis_size(); i1++) {
for (int i2 = 0; i2 < atom_type_.mt_radial_basis_size(); i2++) {
/* for spherical part of potential integrals are diagonal in l */
if (atom_type_.indexr(i1).l == atom_type_.indexr(i2).l) {
int ll = atom_type_.indexr(i1).l * (atom_type_.indexr(i1).l + 1);
for (int ir = 0; ir < nmtp; ir++) {
double Minv = std::pow(1 - spherical_potential_[ir] * sq_alpha_half, -2);
/* u_1(r) * u_2(r) */
double t0 = radial_functions_(ir, i1, 0) * radial_functions_(ir, i2, 0);
/* r*u'_1(r) * r*u'_2(r) */
double t1 = radial_functions_(ir, i1, 1) * radial_functions_(ir, i2, 1);
s[ir] = sq_alpha_half * 0.5 * Minv * (t1 + t0 * 0.5 * ll);
}
o1_radial_integrals_(i1, i2) = s.interpolate().integrate(0);
}
}
}
}
}
if (false) // TODO: if it's slow, compute only when spin-orbit is turned on
{
double soc = std::pow(2 * speed_of_light, -2);
Spline<double> s(atom_type_.radial_grid());
Spline<double> s1(atom_type_.radial_grid());
Spline<double> ve(atom_type_.radial_grid());
for (int i = 0; i < nmtp; i++) ve[i] = spherical_potential_[i] + atom_type_.zn() / atom_type_.radial_grid(i);
ve.interpolate();
so_radial_integrals_.zero();
for (int l = 0; l <= atom_type_.indexr().lmax(); l++)
{
int nrf = atom_type_.indexr().num_rf(l);
for (int order1 = 0; order1 < nrf; order1++)
{
int idxrf1 = atom_type_.indexr().index_by_l_order(l, order1);
for (int order2 = 0; order2 < nrf; order2++)
{
int idxrf2 = atom_type_.indexr().index_by_l_order(l, order2);
for (int ir = 0; ir < nmtp; ir++)
{
double M = 1.0 - 2 * soc * spherical_potential_[ir];
/* first part <f| dVe / dr |f'> */
s[ir] = radial_functions_(ir, idxrf1, 0) * radial_functions_(ir, idxrf2, 0) *
soc * ve.deriv(1, ir) / pow(M, 2);
/* second part <f| d(z/r) / dr |f'> */
s1[ir] = radial_functions_(ir, idxrf1, 0) * radial_functions_(ir, idxrf2, 0) *
soc * atom_type_.zn() / pow(M, 2);
}
s.interpolate();
s1.interpolate();
so_radial_integrals_(l, order1, order2) = s.integrate(1) + s1.integrate(-1);
}
}
}
}
}
inline void Atom_symmetry_class::write_enu(runtime::pstdout& pout) const
{
pout.printf("Atom : %s, class id : %i\n", atom_type_.symbol().c_str(), id_);
pout.printf("augmented waves\n");
for (int l = 0; l < num_aw_descriptors(); l++) {
for (size_t order = 0; order < aw_descriptor(l).size(); order++) {
auto& rsd = aw_descriptor(l)[order];
if (rsd.auto_enu) {
pout.printf("n = %2i l = %2i order = %i enu = %12.6f\n", rsd.n, rsd.l, order, rsd.enu);
}
}
}
pout.printf("local orbitals\n");
for (int idxlo = 0; idxlo < num_lo_descriptors(); idxlo++) {
for (size_t order = 0; order < lo_descriptor(idxlo).rsd_set.size(); order++) {
auto& rsd = lo_descriptor(idxlo).rsd_set[order];
if (rsd.auto_enu) {
pout.printf("n = %2i l = %2i order = %i enu = %12.6f\n", rsd.n, rsd.l, order, rsd.enu);
}
}
}
pout.printf("\n");
}
inline void Atom_symmetry_class::generate_core_charge_density(relativity_t core_rel__)
{
PROFILE("sirius::Atom_symmetry_class::generate_core_charge_density");
/* nothing to do */
if (atom_type_.num_core_electrons() == 0.0) {
return;
}
int nmtp = atom_type_.num_mt_points();
std::vector<double> free_atom_grid(nmtp);
for (int i = 0; i < nmtp; i++) {
free_atom_grid[i] = atom_type_.radial_grid(i);
}
/* extend radial grid */
double x = atom_type_.radial_grid(nmtp - 1);
double dx = atom_type_.radial_grid().dx(nmtp - 2);
while (x < 30.0 + atom_type_.zn() / 4.0) {
x += dx;
free_atom_grid.push_back(x);
dx *= 1.025;
}
Radial_grid rgrid(free_atom_grid);
/* interpolate spherical potential inside muffin-tin */
Spline<double> svmt(atom_type_.radial_grid());
/* remove nucleus contribution from Vmt */
for (int ir = 0; ir < nmtp; ir++) {
svmt[ir] = spherical_potential_[ir] + atom_type_.zn() * atom_type_.radial_grid().x_inv(ir);
}
svmt.interpolate();
/* fit tail to alpha/r + beta */
double alpha = -(std::pow(atom_type_.mt_radius(), 2) * svmt.deriv(1, nmtp - 1) + atom_type_.zn());
double beta = svmt[nmtp - 1] - (atom_type_.zn() + alpha) / atom_type_.mt_radius();
/* cook an effective potential from muffin-tin part and a tail */
std::vector<double> veff(rgrid.num_points());
for (int ir = 0; ir < nmtp; ir++) {
veff[ir] = spherical_potential_[ir];
}
/* simple tail alpha/r + beta */
for (int ir = nmtp; ir < rgrid.num_points(); ir++) {
veff[ir] = alpha * rgrid.x_inv(ir) + beta;
}
//== /* write spherical potential */
//== std::stringstream sstr;
//== sstr << "spheric_potential_" << id_ << ".dat";
//== FILE* fout = fopen(sstr.str().c_str(), "w");
//== for (int ir = 0; ir < rgrid.num_points(); ir++)
//== {
//== fprintf(fout, "%18.10f %18.10f\n", rgrid[ir], veff[ir]);
//== }
//== fclose(fout);
//== STOP();
/* charge density */
Spline<double> rho(rgrid);
/* atomic level energies */
std::vector<double> level_energy(atom_type_.num_atomic_levels());
for (int ist = 0; ist < atom_type_.num_atomic_levels(); ist++) {
level_energy[ist] = -1.0 * atom_type_.zn() / 2 / std::pow(double(atom_type_.atomic_level(ist).n), 2);
}
#pragma omp parallel default(shared)
{
std::vector<double> rho_t(rho.num_points());
std::memset(&rho_t[0], 0, rho.num_points() * sizeof(double));
#pragma omp for
for (int ist = 0; ist < atom_type_.num_atomic_levels(); ist++) {
if (atom_type_.atomic_level(ist).core) {
Bound_state bs(core_rel__, atom_type_.zn(), atom_type_.atomic_level(ist).n, atom_type_.atomic_level(ist).l,
atom_type_.atomic_level(ist).k, rgrid, veff, level_energy[ist]);
auto& rho = bs.rho();
for (int i = 0; i < rgrid.num_points(); i++) {
rho_t[i] += atom_type_.atomic_level(ist).occupancy * rho[i] / fourpi;
}
level_energy[ist] = bs.enu();
}
}
#pragma omp critical
for (int i = 0; i < rho.num_points(); i++) {
rho[i] += rho_t[i];
}
}
for (int ir = 0; ir < atom_type_.num_mt_points(); ir++) {
core_charge_density_[ir] = rho[ir];
}
/* interpolate muffin-tin part of core density */
Spline<double> rho_mt(atom_type_.radial_grid(), core_charge_density_);
/* compute core leakage */
core_leakage_ = fourpi * (rho.interpolate().integrate(2) - rho_mt.integrate(2));
/* compute eigen-value sum of core states */
core_eval_sum_ = 0.0;
for (int ist = 0; ist < atom_type_.num_atomic_levels(); ist++) {
if (atom_type_.atomic_level(ist).core) {
core_eval_sum_ += level_energy[ist] * atom_type_.atomic_level(ist).occupancy;
}
}
}
} // namespace
#endif // __ATOM_SYMMETRY_CLASS_H__
|
gesummv.c | /**
* This version is stamped on May 10, 2016
*
* Contact:
* Louis-Noel Pouchet <pouchet.ohio-state.edu>
* Tomofumi Yuki <tomofumi.yuki.fr>
*
* Web address: http://polybench.sourceforge.net
*/
/* gesummv.c: this file is part of PolyBench/C */
#include <stdio.h>
#include <unistd.h>
#include <string.h>
#include <math.h>
/* Include polybench common header. */
#include <polybench.h>
/* Include benchmark-specific header. */
#include "gesummv.h"
/* Array initialization. */
static
void init_array(int n,
DATA_TYPE *alpha,
DATA_TYPE *beta,
DATA_TYPE POLYBENCH_2D(A, N, N, n, n),
DATA_TYPE POLYBENCH_2D(B, N, N, n, n),
DATA_TYPE POLYBENCH_1D(x, N, n))
{
int i, j;
*alpha = 1.5;
*beta = 1.2;
for (i = 0; i < n; i++)
{
x[i] = (DATA_TYPE)( i % n) / n;
for (j = 0; j < n; j++)
{
A[i][j] = (DATA_TYPE) ((i * j + 1) % n) / n;
B[i][j] = (DATA_TYPE) ((i * j + 2) % n) / n;
}
}
}
/* 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 n,
DATA_TYPE POLYBENCH_1D(y, N, n))
{
int i;
POLYBENCH_DUMP_START;
POLYBENCH_DUMP_BEGIN("y");
for (i = 0; i < n; i++)
{
if (i % 20 == 0) fprintf (POLYBENCH_DUMP_TARGET, "\n");
fprintf (POLYBENCH_DUMP_TARGET, DATA_PRINTF_MODIFIER, y[i]);
}
POLYBENCH_DUMP_END("y");
POLYBENCH_DUMP_FINISH;
}
/* Main computational kernel. The whole function will be timed,
including the call and return. */
static
void kernel_gesummv(int n,
DATA_TYPE alpha,
DATA_TYPE beta,
DATA_TYPE POLYBENCH_2D(A, N, N, n, n),
DATA_TYPE POLYBENCH_2D(B, N, N, n, n),
DATA_TYPE POLYBENCH_1D(tmp, N, n),
DATA_TYPE POLYBENCH_1D(x, N, n),
DATA_TYPE POLYBENCH_1D(y, N, n))
{
int i, j;
#pragma omp parallel for default(shared) private(i, j) firstprivate(n, alpha, beta, A, x, B)
for (i = 0; i < _PB_N; i++)
{
tmp[i] = SCALAR_VAL(0.0);
y[i] = SCALAR_VAL(0.0);
for (j = 0; j < _PB_N; j++)
{
tmp[i] = A[i][j] * x[j] + tmp[i];
y[i] = B[i][j] * x[j] + y[i];
}
y[i] = alpha * tmp[i] + beta * y[i];
}
}
int main(int argc, char** argv)
{
/* Retrieve problem size. */
int n = N;
/* Variable declaration/allocation. */
DATA_TYPE alpha;
DATA_TYPE beta;
POLYBENCH_2D_ARRAY_DECL(A, DATA_TYPE, N, N, n, n);
POLYBENCH_2D_ARRAY_DECL(B, DATA_TYPE, N, N, n, n);
POLYBENCH_1D_ARRAY_DECL(tmp, DATA_TYPE, N, n);
POLYBENCH_1D_ARRAY_DECL(x, DATA_TYPE, N, n);
POLYBENCH_1D_ARRAY_DECL(y, DATA_TYPE, N, n);
/* Initialize array(s). */
init_array (n, &alpha, &beta,
POLYBENCH_ARRAY(A),
POLYBENCH_ARRAY(B),
POLYBENCH_ARRAY(x));
/* Start timer. */
polybench_start_instruments;
/* Run kernel. */
kernel_gesummv (n, alpha, beta,
POLYBENCH_ARRAY(A),
POLYBENCH_ARRAY(B),
POLYBENCH_ARRAY(tmp),
POLYBENCH_ARRAY(x),
POLYBENCH_ARRAY(y));
/* 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(n, POLYBENCH_ARRAY(y)));
/* Be clean. */
POLYBENCH_FREE_ARRAY(A);
POLYBENCH_FREE_ARRAY(B);
POLYBENCH_FREE_ARRAY(tmp);
POLYBENCH_FREE_ARRAY(x);
POLYBENCH_FREE_ARRAY(y);
return 0;
}
|
new-conv-harness.c | /*
Version 1.4 : Modified the random generator to reduce the range
of generated values;
Changed the summation in the checking code from
float to double to try to bring the checked value
closer to the "true" value
Version 1.3 : Fixed which loop variables were being incremented
in write_out();
Fixed dimensions of output and control_output
matrices in main function
Version 1.2 : Changed distribution of test data to (hopefully)
eliminate random walk of floating point error;
Also introduced checks to restrict kernel-order to
a small set of values
Version 1.1 : Fixed bug in code to create 4d matrix
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <assert.h>
#include <omp.h>
#include <math.h>
#include <x86intrin.h>
/* the following two definitions of DEBUGGING control whether or not
debugging information is written out. To put the program into
debugging mode, uncomment the following line: */
/*#define DEBUGGING(_x) _x */
/* to stop the printing of debugging information, use the following line: */
#define DEBUGGING(_x)
/* write 3d matrix to stdout */
void write_out(float *** a, int dim0, int dim1, int dim2)
{
int i, j, k;
for ( i = 0; i < dim0; i++ ) {
printf("Outer dimension number %d\n", i);
for ( j = 0; j < dim1; j++ ) {
for ( k = 0; k < dim2 - 1; k++ ) {
printf("%f, ", a[i][j][k]);
}
// print end of line
printf("%f\n", a[i][j][dim2-1]);
}
}
}
/* create new empty 4d matrix */
float **** new_empty_4d_matrix(int dim0, int dim1, int dim2, int dim3)
{
float **** result = malloc(dim0 * sizeof(float***));
float *** mat1 = malloc(dim0 * dim1 * sizeof(float**));
float ** mat2 = malloc(dim0 * dim1 * dim2 * sizeof(float*));
float * mat3 = malloc(dim0 * dim1 * dim2 *dim3 * sizeof(float));
int i, j, k;
for ( i = 0; i < dim0; i++ ) {
result[i] = &(mat1[i*dim1]);
for ( j = 0; j < dim1; j++ ) {
result[i][j] = &(mat2[i*dim1*dim2 + j*dim2]);
for ( k = 0; k < dim2; k++ ) {
result[i][j][k] = &(mat3[i*dim1*dim2*dim3+j*dim2*dim3+k*dim3]);
}
}
}
return result;
}
/* create new empty 3d matrix */
float *** new_empty_3d_matrix(int dim0, int dim1, int dim2)
{
float **** mat4d;
float *** mat3d;
// create a 4d matrix with single first dimension
mat4d = new_empty_4d_matrix(1, dim0, dim1, dim2);
// now throw away out first dimension
mat3d = mat4d[0];
free(mat4d);
return mat3d;
}
/* take a copy of the matrix and return in a newly allocated matrix */
float **** copy_4d_matrix(float **** source_matrix, int dim0,
int dim1, int dim2, int dim3)
{
int i, j, k, l;
float **** result = new_empty_4d_matrix(dim0, dim1, dim2, dim3);
for ( i = 0; i < dim0; i++ ) {
for ( j = 0; j < dim1; j++ ) {
for ( k = 0; k < dim2; k++ ) {
for ( l = 0; l < dim3; l++ ) {
result[i][j][k][l] = source_matrix[i][j][k][l];
}
}
}
}
return result;
}
/* create a matrix and fill it with random numbers */
float **** gen_random_4d_matrix(int dim0, int dim1, int dim2, int dim3)
{
float **** result;
int i, j, k, l;
struct timeval seedtime;
int seed;
result = new_empty_4d_matrix(dim0, dim1, dim2, dim3);
/* use the microsecond part of the current time as a pseudorandom seed */
gettimeofday(&seedtime, NULL);
seed = seedtime.tv_usec;
srandom(seed);
/* fill the matrix with random numbers */
const int range = 1 << 12; // 2^12
const int bias = 1 << 16; // 2^16
float offset = 0.0;
for ( i = 0; i < dim0; i++ ) {
for ( j = 0; j < dim1; j++ ) {
for ( k = 0; k < dim2; k++ ) {
for ( l = 0; l < dim3; l++ ) {
// generate uniform random integer with mean of zero
long long rand = random();
// now cut down the range and bias the mean to reduce
// the likelihood of large floating point round-off errors
int reduced_range = (rand % range);
float num = (((float) reduced_range) / ((float) bias))+offset;
result[i][j][k][l] = num;
}
}
}
}
return result;
}
/* create a matrix and fill it with random numbers */
float *** gen_random_3d_matrix(int dim0, int dim1, int dim2)
{
float **** mat4d;
float *** mat3d;
// create a 4d matrix with single first dimension
mat4d = gen_random_4d_matrix(1, dim0, dim1, dim2);
// now throw away out first dimension
mat3d = mat4d[0];
free(mat4d);
return mat3d;
}
/* check the sum of absolute differences is within reasonable epsilon */
void check_result(float *** result, float *** control,
int dim0, int dim1, int dim2)
{
int i, j, k;
double sum_abs_diff = 0.0;
const double EPSILON = 0.0625;
//printf("SAD\n");
for ( i = 0; i < dim0; i++ ) {
for ( j = 0; j < dim1; j++ ) {
for ( k = 0; k < dim2; k++ ) {
double diff = fabs(control[i][j][k] - result[i][j][k]);
assert( diff >= 0.0 );
sum_abs_diff = sum_abs_diff + diff;
}
}
}
if ( sum_abs_diff > EPSILON ) {
fprintf(stderr, "WARNING: sum of absolute differences (%f) > EPSILON (%f)\n",
sum_abs_diff, EPSILON);
}
else {
printf("COMMENT: sum of absolute differences (%f) within acceptable range (%f)\n", sum_abs_diff, EPSILON);
}
}
/* the slow but correct version of matmul written by David */
void multichannel_conv(float *** image, float **** kernels, float *** output,
int width, int height, int nchannels, int nkernels,
int kernel_order)
{
int h, w, x, y, c, m;
for ( m = 0; m < nkernels; m++ ) {
for ( w = 0; w < width; w++ ) {
for ( h = 0; h < height; h++ ) {
double sum = 0.0;
for ( c = 0; c < nchannels; c++ ) {
for ( x = 0; x < kernel_order; x++) {
for ( y = 0; y < kernel_order; y++ ) {
sum += image[w+x][h+y][c] * kernels[m][c][x][y];
}
}
output[m][w][h] = sum;
}
}
}
}
}
//Newest test version of the code that im testing vs the fastest version so far
void isThisVersionFaster(float *** image, float **** kernels, float *** output,
int width, int height, int nchannels, int nkernels,
int kernel_order)
{
int h, w, x, y, c, m;
__m128 v_image, v_kernels, v_pro, v_sum;
switch(kernel_order) {
case 1: // x and y dont change
#pragma omp parallel for private(w,h,m,c,x,y,v_sum, v_image, v_kernels, v_pro) collapse(3)
for (w = 0; w < width; w++) {
for (h = 0; h < height; h++) {
for (m = 0; m < nkernels; m++) {
v_sum = _mm_set1_ps(0.0);
float sum = 0.0;
for (c = 0; c < nchannels-3; c+=4) {
v_image = _mm_loadu_ps(&image[w][h][c]);
v_kernels = _mm_loadu_ps(&kernels[m][c][0][0]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
}
v_sum = _mm_hadd_ps(v_sum,v_sum);
v_sum = _mm_hadd_ps(v_sum,v_sum);
sum = _mm_cvtss_f32(v_sum);
for(; c < nchannels; c++) {
sum += image[w][h][c] * kernels[m][c][0][0];
}
output[m][w][h] = sum;
}
}
} break;
case 3: // x and y go up to 2
#pragma omp parallel for private(w,h,m,c,x,y,v_sum, v_image, v_kernels, v_pro) collapse(3)
for ( m = 0; m < nkernels; m++ ) {
for ( w = 0; w < width; w++ ) {
for ( h = 0; h < height; h++ ) {
v_sum = _mm_set1_ps(0.0);
float sum = 0.0;
for ( c = 0; c < nchannels; c++) {
v_image = _mm_set_ps(image[w+0][h+0][c],image[w+0][h+1][c],
image[w+0][h+2][c],image[w+1][h+0][c]);
v_kernels = _mm_set_ps(kernels[m][c][0][0],kernels[m][c][0][1],
kernels[m][c][0][2], kernels[m][c][1][0]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
v_image = _mm_set_ps(image[w+1][h+1][c],image[w+1][h+2][c],
image[w+2][h+0][c],image[w+2][h+1][c]);
v_kernels = _mm_set_ps(kernels[m][c][1][1],kernels[m][c][1][2],
kernels[m][c][2][0],kernels[m][c][2][1]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
sum += image[w+2][h+2][c] * kernels[m][c][2][2];
}
v_sum = _mm_hadd_ps(v_sum,v_sum);
v_sum = _mm_hadd_ps(v_sum,v_sum);
sum += _mm_cvtss_f32(v_sum);
// for(; c < nchannels; c++) {
// sum += image[w+0][h+0][c] * kernels[m][c][0][0];
// sum += image[w+0][h+1][c] * kernels[m][c][0][1];
// sum += image[w+0][h+2][c] * kernels[m][c][0][2];
// sum += image[w+1][h+0][c] * kernels[m][c][1][0];
// sum += image[w+1][h+1][c] * kernels[m][c][1][1];
// sum += image[w+1][h+2][c] * kernels[m][c][1][2];
// sum += image[w+2][h+0][c] * kernels[m][c][2][0];
// sum += image[w+2][h+1][c] * kernels[m][c][2][1];
// sum += image[w+2][h+2][c] * kernels[m][c][2][2];
// }
output[m][w][h] = sum;
}
}
} break;
case 5: // x and y go up to 4
#pragma omp parallel for private(w,h,m,c,x,y,v_sum, v_image, v_kernels, v_pro) shared(width,height,nkernels,nchannels, kernel_order,image,kernels,output)
for ( w = 0; w < width; w++ ) {
for ( h = 0; h < height; h++ ) {
for ( m = 0; m < nkernels; m++ ) {
v_sum = _mm_set1_ps(0.0);
float sum = 0.0;
for ( c = 0; c < nchannels-3; c+=4) {
// first one
v_image = _mm_set_ps(image[w+0][h+0][c],image[w+0][h+1][c],
image[w+0][h+2][c],image[w+0][h+3][c]);
v_kernels = _mm_loadu_ps(&kernels[m][c][0][0]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
// second one
v_image = _mm_set_ps(image[w+0][h+4][c],image[w+1][h+0][c],
image[w+1][h+1][c],image[w+1][h+2][c]);
v_kernels = _mm_loadu_ps(&kernels[m][c][0][4]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
// third one
v_image = _mm_set_ps(image[w+1][h+3][c],image[w+1][h+4][c],
image[w+2][h+0][c],image[w+2][h+1][c]);
v_kernels = _mm_loadu_ps(&kernels[m][c][1][3]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
// fourth one
v_image = _mm_set_ps(image[w+2][h+2][c],image[w+2][h+3][c],
image[w+2][h+4][c],image[w+3][h+0][c]);
v_kernels = _mm_loadu_ps(&kernels[m][c][2][2]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
//fifth one
v_image = _mm_set_ps(image[w+3][h+1][c],image[w+3][h+2][c],
image[w+3][h+3][c],image[w+3][h+4][c]);
v_kernels = _mm_loadu_ps(&kernels[m][c][3][1]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
// sixth one
v_image = _mm_set_ps(image[w+4][h+0][c],image[w+4][h+1][c],
image[w+4][h+2][c],image[w+4][h+3][c]);
v_kernels = _mm_loadu_ps(&kernels[m][c][4][0]);
v_pro = _mm_mul_ps(v_image, v_kernels);
v_sum = _mm_add_ps(v_sum, v_pro);
sum += image[w+4][h+4][c] * kernels[m][c][4][4];
}
v_sum = _mm_hadd_ps(v_sum,v_sum);
v_sum = _mm_hadd_ps(v_sum,v_sum);
sum = _mm_cvtss_f32(v_sum);
for(; c < nchannels; c++) {
sum += image[w+0][h+0][c] * kernels[m][c][0][0];
sum += image[w+0][h+1][c] * kernels[m][c][0][1];
sum += image[w+0][h+2][c] * kernels[m][c][0][2];
sum += image[w+0][h+3][c] * kernels[m][c][0][3];
sum += image[w+0][h+4][c] * kernels[m][c][0][4];
sum += image[w+1][h+0][c] * kernels[m][c][1][0];
sum += image[w+1][h+1][c] * kernels[m][c][1][1];
sum += image[w+1][h+2][c] * kernels[m][c][1][2];
sum += image[w+1][h+3][c] * kernels[m][c][1][3];
sum += image[w+1][h+4][c] * kernels[m][c][1][4];
sum += image[w+2][h+0][c] * kernels[m][c][2][0];
sum += image[w+2][h+1][c] * kernels[m][c][2][1];
sum += image[w+2][h+2][c] * kernels[m][c][2][2];
sum += image[w+2][h+3][c] * kernels[m][c][2][3];
sum += image[w+2][h+4][c] * kernels[m][c][2][4];
sum += image[w+3][h+0][c] * kernels[m][c][3][0];
sum += image[w+3][h+1][c] * kernels[m][c][3][1];
sum += image[w+3][h+2][c] * kernels[m][c][3][2];
sum += image[w+3][h+3][c] * kernels[m][c][3][3];
sum += image[w+3][h+4][c] * kernels[m][c][3][4];
sum += image[w+4][h+0][c] * kernels[m][c][4][0];
sum += image[w+4][h+1][c] * kernels[m][c][4][1];
sum += image[w+4][h+2][c] * kernels[m][c][4][2];
sum += image[w+4][h+3][c] * kernels[m][c][4][3];
sum += image[w+4][h+4][c] * kernels[m][c][4][4];
}
output[m][w][h] = sum;
}
}
} break;
case 7:
default:break;// x and y go up to 6
}
}
/* the fast version of matmul written by the team */
void team_conv(float *** image, float **** kernels, float *** output,
int width, int height, int nchannels, int nkernels,
int kernel_order)
{
// this call here is just dummy code
// insert your own code instead
// multichannel_conv(image, kernels, output, width,
// height, nchannels, nkernels, kernel_order);
int h, w, x, y, c, m;
double sum;
#pragma omp parallel for private(w,h,m,c,x,y,sum) shared(width, height, nkernels, nchannels, kernel_order,image, kernels, output)
for ( w = 0; w < width; w++ ) {
for ( h = 0; h < height; h++ ) {
for(m =0; m< nkernels;m++){
sum = 0.0;
for ( c = 0; c < nchannels; c++ ) {
for ( x = 0; x < kernel_order; x++) {
for ( y = 0; y < kernel_order; y++ ) {
sum += image[w+x][h+y][c] * kernels[m][c][x][y];
}
}
}
output[m][w][h] = sum;
}
}
}
}
/*
for(i){
for(j){
for(k){
c[i][j] = a[i][k] * b[k][j];
}
}
}
*/
int main(int argc, char ** argv)
{
//float image[W][H][C];
//float kernels[M][C][K][K];
//float output[M][W][H];
float *** image, **** kernels, *** output;
float *** control_output;
long long mul_time, mul_time2,fast_time;
int width, height, kernel_order, nchannels, nkernels;
struct timeval start_time;
struct timeval stop_time;
struct timeval start_otherTime;
struct timeval stop_otherTime;
struct timeval fast_time_start;
struct timeval fast_time_end;
if ( argc != 6 ) {
fprintf(stderr, "Usage: conv-harness <image_width> <image_height> <kernel_order> <number of channels> <number of kernels>\n");
exit(1);
}
else {
width = atoi(argv[1]);
height = atoi(argv[2]);
kernel_order = atoi(argv[3]);
nchannels = atoi(argv[4]);
nkernels = atoi(argv[5]);
}
switch ( kernel_order ) {
case 1:
case 3:
case 5:
case 7: break;
default:
fprintf(stderr, "FATAL: kernel_order must be 1, 3, 5 or 7, not %d\n",
kernel_order);
exit(1);
}
/* allocate the matrices */
image = gen_random_3d_matrix(width+kernel_order, height + kernel_order,
nchannels);
kernels = gen_random_4d_matrix(nkernels, nchannels, kernel_order, kernel_order);
output = new_empty_3d_matrix(nkernels, width, height);
control_output = new_empty_3d_matrix(nkernels, width, height);
//DEBUGGING(write_out(A, a_dim1, a_dim2));
gettimeofday(&start_otherTime, NULL);
/* use a simple multichannel convolution routine to produce control result */
multichannel_conv(image, kernels, control_output, width,
height, nchannels, nkernels, kernel_order);
gettimeofday(&stop_otherTime, NULL);
/* record starting time of team's code*/
//gettimeofday(&start_time, NULL);
/* perform student team's multichannel convolution */
//team_conv(image, kernels, output, width,
// height, nchannels, nkernels, kernel_order);
/* record finishing time */
//gettimeofday(&stop_time, NULL);
gettimeofday(&fast_time_start, NULL);
isThisVersionFaster(image, kernels, output, width,
height, nchannels, nkernels, kernel_order);
gettimeofday(&fast_time_end, NULL);
//mul_time = (stop_time.tv_sec - start_time.tv_sec) * 1000000L +
// (stop_time.tv_usec - start_time.tv_usec);
mul_time2 = (stop_otherTime.tv_sec - start_otherTime.tv_sec) * 1000000L +
(stop_otherTime.tv_usec - start_otherTime.tv_usec);
fast_time = (fast_time_end.tv_sec - fast_time_start.tv_sec) * 1000000L +
( fast_time_end.tv_usec - fast_time_start.tv_usec);
printf("Team conv time: %lld microseconds\n", mul_time);
printf("David gregg : %lld microseconds\n", mul_time2);
printf("FAST --- :%lld microseconds\n", fast_time);
//printf("greg/teamconv : %lld times faster\n", mul_time2/mul_time);
printf("greg/FAST : %lld times faster\n", mul_time2/fast_time);
DEBUGGING(write_out(output, nkernels, width, height));
/* now check that the team's multichannel convolution routine
gives the same answer as the known working version */
check_result(output, control_output, nkernels, width, height);
return 0;
}
|
DRB037-truedepseconddimension-orig-yes.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
Only the outmost loop can be parallelized in this program.
The inner loop has true dependence.
Data race pair: b[i][j]@63:7 vs. b[i][j-1]@63:15
*/
#include <stdlib.h>
#include <stdio.h>
double b[1000][1000];
int main(int argc, char* argv[])
{
int i,j;
int n=1000, m=1000;
for (i=0;i<n;i++)
#pragma omp parallel for schedule(dynamic)
for (j=1;j<m;j++)
b[i][j]=b[i][j-1];
printf("b[500][500]=%f\n", b[500][500]);
return 0;
}
|
thd_info.c |
/******************************************************************************
* INCLUDES
*****************************************************************************/
#include "thd_info.h"
#include "util.h"
#include <omp.h>
/******************************************************************************
* PRIVATE FUNCTIONS
*****************************************************************************/
/**
* @brief Perform a parallel SUM reduction.
*
* @param thds The thread structure we are using in the reduction.
* @param scratchid Which scratch array to reduce.
* @param nelems How many elements in the scratch array.
*/
static inline void p_reduce_sum(
thd_info * const thds,
idx_t const scratchid,
idx_t const nelems)
{
int const tid = omp_get_thread_num();
int const nthreads = omp_get_num_threads();
val_t * const myvals = (val_t *) thds[tid].scratch[scratchid];
int half = nthreads / 2;
while(half > 0) {
if(tid < half && tid + half < nthreads) {
val_t const * const target = (val_t *) thds[tid+half].scratch[scratchid];
for(idx_t i=0; i < nelems; ++i) {
myvals[i] += target[i];
}
}
#pragma omp barrier
/* check for odd number */
#pragma omp master
if(half > 1 && half % 2 == 1) {
val_t const * const last = (val_t *) thds[half-1].scratch[scratchid];
for(idx_t i=0; i < nelems; ++i) {
myvals[i] += last[i];
}
}
/* next iteration */
half /= 2;
}
/* account for odd thread at end */
#pragma omp master
{
if(nthreads % 2 == 1) {
val_t const * const last = (val_t *) thds[nthreads-1].scratch[scratchid];
for(idx_t i=0; i < nelems; ++i) {
myvals[i] += last[i];
}
}
}
#pragma omp barrier
}
/**
* @brief Perform a parallel MAX reduction.
*
* @param thds The thread structure we are using in the reduction.
* @param scratchid Which scratch array to reduce.
* @param nelems How many elements in the scratch array.
*/
static inline void p_reduce_max(
thd_info * const thds,
idx_t const scratchid,
idx_t const nelems)
{
int const tid = omp_get_thread_num();
int const nthreads = omp_get_num_threads();
val_t * const myvals = (val_t *) thds[tid].scratch[scratchid];
int half = nthreads / 2;
while(half > 0) {
if(tid < half && tid + half < nthreads) {
val_t const * const target = (val_t *) thds[tid+half].scratch[scratchid];
for(idx_t i=0; i < nelems; ++i) {
myvals[i] = SS_MAX(myvals[i], target[i]);
}
}
#pragma omp barrier
/* check for odd number */
#pragma omp master
if(half > 1 && half % 2 == 1) {
val_t const * const last = (val_t *) thds[half-1].scratch[scratchid];
for(idx_t i=0; i < nelems; ++i) {
myvals[i] = SS_MAX(myvals[i], last[i]);
}
}
/* next iteration */
half /= 2;
}
/* account for odd thread at end */
#pragma omp master
{
if(nthreads % 2 == 1) {
val_t const * const last = (val_t *) thds[nthreads-1].scratch[scratchid];
for(idx_t i=0; i < nelems; ++i) {
myvals[i] = SS_MAX(myvals[i], last[i]);
}
}
}
#pragma omp barrier
}
/******************************************************************************
* PUBLIC FUNCTIONS
*****************************************************************************/
void thd_reduce(
thd_info * const thds,
idx_t const scratchid,
idx_t const nelems,
splatt_reduce_type const which)
{
if(omp_get_num_threads() == 1) {
return;
}
/* just to be safe in case any thread data is being copied */
#pragma omp barrier
switch(which) {
case REDUCE_SUM:
p_reduce_sum(thds, scratchid, nelems);
break;
case REDUCE_MAX:
p_reduce_max(thds, scratchid, nelems);
break;
default:
fprintf(stderr, "SPLATT: thd_reduce supports SUM and MAX only.\n");
abort();
}
}
thd_info * thd_init(
idx_t const nthreads,
idx_t const nscratch,
...)
{
thd_info * thds = (thd_info *) splatt_malloc(nthreads * sizeof(thd_info));
for(idx_t t=0; t < nthreads; ++t) {
timer_reset(&thds[t].ttime);
thds[t].nscratch = nscratch;
thds[t].scratch = (void **) splatt_malloc(nscratch * sizeof(void*));
}
va_list args;
va_start(args, nscratch);
for(idx_t s=0; s < nscratch; ++s) {
idx_t const bytes = va_arg(args, idx_t);
for(idx_t t=0; t < nthreads; ++t) {
thds[t].scratch[s] = (void *) splatt_hbw_malloc(bytes);
memset(thds[t].scratch[s], 0, bytes);
}
}
va_end(args);
return thds;
}
void thd_times(
thd_info * thds,
idx_t const nthreads)
{
for(idx_t t=0; t < nthreads; ++t) {
printf(" thd: %"SPLATT_PF_IDX" %0.3fs\n", t, thds[t].ttime.seconds);
}
}
void thd_reset(
thd_info * thds,
idx_t const nthreads)
{
for(idx_t t=0; t < nthreads; ++t) {
timer_reset(&thds[t].ttime);
}
}
void thd_free(
thd_info * thds,
idx_t const nthreads)
{
for(idx_t t=0; t < nthreads; ++t) {
for(idx_t s=0; s < thds[t].nscratch; ++s) {
splatt_hbw_free(thds[t].scratch[s]);
}
splatt_free(thds[t].scratch);
}
splatt_free(thds);
}
|
target_data_messages.c | // RUN: %clang_cc1 -triple x86_64-apple-macos10.7.0 -verify -fopenmp -ferror-limit 100 -o - %s
void foo() { }
int main(int argc, char **argv) {
int a;
#pragma omp target data // expected-error {{expected at least one 'map' or 'use_device_ptr' clause for '#pragma omp target data'}}
{}
L1:
foo();
#pragma omp target data map(a)
{
foo();
goto L1; // expected-error {{use of undeclared label 'L1'}}
}
goto L2; // expected-error {{use of undeclared label 'L2'}}
#pragma omp target data map(a)
L2:
foo();
#pragma omp target data map(a)(i) // expected-warning {{extra tokens at the end of '#pragma omp target data' are ignored}}
{
foo();
}
#pragma omp target unknown // expected-warning {{extra tokens at the end of '#pragma omp target' are ignored}}
{
foo();
}
return 0;
}
|
GB_unop__identity_fp32_uint32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_fp32_uint32)
// op(A') function: GB (_unop_tran__identity_fp32_uint32)
// C type: float
// A type: uint32_t
// cast: float cij = (float) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint32_t
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint32_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) \
float z = (float) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint32_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
float z = (float) aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FP32 || GxB_NO_UINT32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_fp32_uint32)
(
float *Cx, // Cx and Ax may be aliased
const uint32_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++)
{
uint32_t aij = Ax [p] ;
float z = (float) aij ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
uint32_t aij = Ax [p] ;
float z = (float) 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_fp32_uint32)
(
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
|
do_sum_omp_wbittrunc.c | typedef unsigned int uint;
double bittruncate(double sum, uint nbits);
double do_sum_omp_wbittrunc(double* restrict var, long ncells, uint nbits)
{
// Serial sum
double sum = 0.0;
#pragma omp parallel for reduction(+: sum)
for (long i = 0; i < ncells; i++){
sum += var[i];
}
sum = bittruncate(sum, nbits);
return(sum);
}
|
depobj-1.c | typedef struct __attribute__((__aligned__ (sizeof (void *)))) omp_depend_t {
char __omp_depend_t__[2 * sizeof (void *)];
} omp_depend_t;
omp_depend_t bar (void);
extern const omp_depend_t cdepobj;
extern omp_depend_t depobj;
extern omp_depend_t depobja[4];
extern omp_depend_t *pdepobj;
int a, b, i, j;
void
f1 (void)
{
#pragma omp depobj(depobj) depend(in : a)
#pragma omp depobj(depobj) update(inout)
#pragma omp task depend (depobj: depobj)
;
#pragma omp depobj(depobj) destroy
#pragma omp task depend (iterator (i=1:3) , depobj: *(depobja + i))
;
#pragma omp depobj(pdepobj[0]) depend(mutexinoutset:a)
#pragma omp depobj(*pdepobj) destroy
}
void
f2 (void)
{
omp_depend_t depobjb[4];
#pragma omp depobj /* { dg-error "expected" } */
#pragma omp depobj destroy /* { dg-error "expected" } */
#pragma omp depobj (depobj) /* { dg-error "expected 'depend', 'destroy' or 'update' clause" } */
#pragma omp depobj (depobj) foobar /* { dg-error "expected 'depend', 'destroy' or 'update' clause" } */
#pragma omp depobj(bar ()) update(inout) /* { dg-error "'depobj' expression is not lvalue expression" } */
#pragma omp depobj (cdepobj) update(in) /* { dg-error "'const' qualified 'depobj' expression" } */
#pragma omp depobj (depobjb) depend(in: a) /* { dg-error "type of 'depobj' expression is not 'omp_depend_t'" } */
#pragma omp depobj (pdepobj) depend(in: a) /* { dg-error "type of 'depobj' expression is not 'omp_depend_t'" } */
#pragma omp depobj (a) destroy /* { dg-error "type of 'depobj' expression is not 'omp_depend_t'" } */
#pragma omp depobj (depobj) depend(depobj:a) /* { dg-error "does not have 'omp_depend_t' type in 'depend' clause with 'depobj' dependence type" } */
#pragma omp depobj (depobj) depend(depobj:*depobjb) /* { dg-error "'depobj' dependence type specified in 'depend' clause on 'depobj' construct" } */
#pragma omp depobj (depobj) update(foobar) /* { dg-error "expected 'in', 'out', 'inout' or 'mutexinoutset'" } */
#pragma omp depobj (depobj) depend(in: *depobja) /* { dg-error "should not have 'omp_depend_t' type in 'depend' clause with dependence type" } */
#pragma omp depobj (depobj) depend(in: a) depend(in: b) /* { dg-error "expected" } */
#pragma omp depobj (depobj) depend(in: a) update(out) /* { dg-error "expected" } */
#pragma omp depobj (depobj) depend(in: a, b) /* { dg-error "more than one locator in 'depend' clause on 'depobj' construct" } */
#pragma omp depobj (depobj) depend(source) /* { dg-error "'depend\\(source\\)' is only allowed in 'omp ordered'" } */
#pragma omp depobj (depobj) depend(sink: i + 1, j - 1) /* { dg-error "'depend\\(sink\\)' is only allowed in 'omp ordered'" } */
#pragma omp depobj (depobj) depend(iterator (i = 0:2) , in : a) /* { dg-error "'iterator' modifier may not be specified on 'depobj' construct" } */
if (0)
#pragma omp depobj (depobj) destroy /* { dg-error "'#pragma omp depobj' may only be used in compound statements" } */
;
}
void
f3 (void)
{
#pragma omp task depend (depobj: depobja[1:2]) /* { dg-error "'depend' clause with 'depobj' dependence type on array section" } */
;
#pragma omp task depend (depobj: a) /* { dg-error "'a' does not have 'omp_depend_t' type in 'depend' clause with 'depobj' dependence type" } */
;
#pragma omp task depend (in: depobj) /* { dg-error "'depobj' should not have 'omp_depend_t' type in 'depend' clause with dependence type" } */
;
}
|
interpolate.c | /* Generated by Cython 0.29.21 */
/* BEGIN: Cython Metadata
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#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))
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#define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)
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#define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
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#define PyUnicode_Contains(u, s) PySequence_Contains(u, s)
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#define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)
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#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
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#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
#ifndef PyObject_Unicode
#define PyObject_Unicode PyObject_Str
#endif
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
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#ifndef PySet_CheckExact
#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
#endif
#if PY_VERSION_HEX >= 0x030900A4
#define __Pyx_SET_REFCNT(obj, refcnt) Py_SET_REFCNT(obj, refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SET_SIZE(obj, size)
#else
#define __Pyx_SET_REFCNT(obj, refcnt) Py_REFCNT(obj) = (refcnt)
#define __Pyx_SET_SIZE(obj, size) Py_SIZE(obj) = (size)
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#if CYTHON_ASSUME_SAFE_MACROS
#define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)
#else
#define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)
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#if PY_MAJOR_VERSION >= 3
#define PyIntObject PyLongObject
#define PyInt_Type PyLong_Type
#define PyInt_Check(op) PyLong_Check(op)
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
#define PyInt_FromString PyLong_FromString
#define PyInt_FromUnicode PyLong_FromUnicode
#define PyInt_FromLong PyLong_FromLong
#define PyInt_FromSize_t PyLong_FromSize_t
#define PyInt_FromSsize_t PyLong_FromSsize_t
#define PyInt_AsLong PyLong_AsLong
#define PyInt_AS_LONG PyLong_AS_LONG
#define PyInt_AsSsize_t PyLong_AsSsize_t
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
#define PyNumber_Int PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
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#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
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#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? ((void)(klass), PyMethod_New(func, self)) : __Pyx_NewRef(func))
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#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
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#if CYTHON_USE_ASYNC_SLOTS
#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
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#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
#endif
#else
#define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
#else
#define __Pyx_truncl truncl
#endif
#define __PYX_MARK_ERR_POS(f_index, lineno) \
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#define __PYX_ERR(f_index, lineno, Ln_error) \
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#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
#endif
#define __PYX_HAVE__dapy__integrators__interpolate
#define __PYX_HAVE_API__dapy__integrators__interpolate
/* Early includes */
#include <string.h>
#include <stdio.h>
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#include <math.h>
#include "pythread.h"
#include <stdlib.h>
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */
#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif
typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;
#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\
(sizeof(type) < sizeof(Py_ssize_t)) ||\
(sizeof(type) > sizeof(Py_ssize_t) &&\
likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX) &&\
(!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
v == (type)PY_SSIZE_T_MIN))) ||\
(sizeof(type) == sizeof(Py_ssize_t) &&\
(is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
v == (type)PY_SSIZE_T_MAX))) )
static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
return (size_t) i < (size_t) limit;
}
#if defined (__cplusplus) && __cplusplus >= 201103L
#include <cstdlib>
#define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
#define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
#define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
#define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
#define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
#define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
#define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString
#define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
const Py_UNICODE *u_end = u;
while (*u_end++) ;
return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
(likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
PyObject* ascii_chars_u = NULL;
PyObject* ascii_chars_b = NULL;
const char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
if (strcmp(default_encoding_c, "ascii") == 0) {
__Pyx_sys_getdefaultencoding_not_ascii = 0;
} else {
char ascii_chars[128];
int c;
for (c = 0; c < 128; c++) {
ascii_chars[c] = c;
}
__Pyx_sys_getdefaultencoding_not_ascii = 1;
ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
if (!ascii_chars_u) goto bad;
ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
PyErr_Format(
PyExc_ValueError,
"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
default_encoding_c);
goto bad;
}
Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
}
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
PyObject* sys;
PyObject* default_encoding = NULL;
char* default_encoding_c;
sys = PyImport_ImportModule("sys");
if (!sys) goto bad;
default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
Py_DECREF(sys);
if (!default_encoding) goto bad;
default_encoding_c = PyBytes_AsString(default_encoding);
if (!default_encoding_c) goto bad;
__PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
return -1;
}
#endif
#endif
/* Test for GCC > 2.95 */
#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
#define likely(x) __builtin_expect(!!(x), 1)
#define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
#define likely(x) (x)
#define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }
static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;
/* Header.proto */
#if !defined(CYTHON_CCOMPLEX)
#if defined(__cplusplus)
#define CYTHON_CCOMPLEX 1
#elif defined(_Complex_I)
#define CYTHON_CCOMPLEX 1
#else
#define CYTHON_CCOMPLEX 0
#endif
#endif
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
#include <complex>
#else
#include <complex.h>
#endif
#endif
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
#undef _Complex_I
#define _Complex_I 1.0fj
#endif
static const char *__pyx_f[] = {
"dapy/integrators/interpolate.pyx",
"__init__.pxd",
"stringsource",
"type.pxd",
};
/* BufferFormatStructs.proto */
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
const char* name;
struct __Pyx_StructField_* fields;
size_t size;
size_t arraysize[8];
int ndim;
char typegroup;
char is_unsigned;
int flags;
} __Pyx_TypeInfo;
typedef struct __Pyx_StructField_ {
__Pyx_TypeInfo* type;
const char* name;
size_t offset;
} __Pyx_StructField;
typedef struct {
__Pyx_StructField* field;
size_t parent_offset;
} __Pyx_BufFmt_StackElem;
typedef struct {
__Pyx_StructField root;
__Pyx_BufFmt_StackElem* head;
size_t fmt_offset;
size_t new_count, enc_count;
size_t struct_alignment;
int is_complex;
char enc_type;
char new_packmode;
char enc_packmode;
char is_valid_array;
} __Pyx_BufFmt_Context;
/* NoFastGil.proto */
#define __Pyx_PyGILState_Ensure PyGILState_Ensure
#define __Pyx_PyGILState_Release PyGILState_Release
#define __Pyx_FastGIL_Remember()
#define __Pyx_FastGIL_Forget()
#define __Pyx_FastGilFuncInit()
/* MemviewSliceStruct.proto */
struct __pyx_memoryview_obj;
typedef struct {
struct __pyx_memoryview_obj *memview;
char *data;
Py_ssize_t shape[8];
Py_ssize_t strides[8];
Py_ssize_t suboffsets[8];
} __Pyx_memviewslice;
#define __Pyx_MemoryView_Len(m) (m.shape[0])
/* Atomics.proto */
#include <pythread.h>
#ifndef CYTHON_ATOMICS
#define CYTHON_ATOMICS 1
#endif
#define __pyx_atomic_int_type int
#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\
(__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\
!defined(__i386__)
#define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)
#define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using GNU atomics"
#endif
#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0
#include <Windows.h>
#undef __pyx_atomic_int_type
#define __pyx_atomic_int_type LONG
#define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#pragma message ("Using MSVC atomics")
#endif
#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0
#define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)
#define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value)
#ifdef __PYX_DEBUG_ATOMICS
#warning "Using Intel atomics"
#endif
#else
#undef CYTHON_ATOMICS
#define CYTHON_ATOMICS 0
#ifdef __PYX_DEBUG_ATOMICS
#warning "Not using atomics"
#endif
#endif
typedef volatile __pyx_atomic_int_type __pyx_atomic_int;
#if CYTHON_ATOMICS
#define __pyx_add_acquisition_count(memview)\
__pyx_atomic_incr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_atomic_decr_aligned(__pyx_get_slice_count_pointer(memview), memview->lock)
#else
#define __pyx_add_acquisition_count(memview)\
__pyx_add_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#define __pyx_sub_acquisition_count(memview)\
__pyx_sub_acquisition_count_locked(__pyx_get_slice_count_pointer(memview), memview->lock)
#endif
/* ForceInitThreads.proto */
#ifndef __PYX_FORCE_INIT_THREADS
#define __PYX_FORCE_INIT_THREADS 0
#endif
/* "../../miniconda3/envs/dapy/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":775
* # in Cython to enable them only on the right systems.
*
* ctypedef npy_int8 int8_t # <<<<<<<<<<<<<<
* ctypedef npy_int16 int16_t
* ctypedef npy_int32 int32_t
*/
typedef npy_int8 __pyx_t_5numpy_int8_t;
/* "../../miniconda3/envs/dapy/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":776
*
* ctypedef npy_int8 int8_t
* ctypedef npy_int16 int16_t # <<<<<<<<<<<<<<
* ctypedef npy_int32 int32_t
* ctypedef npy_int64 int64_t
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typedef npy_int16 __pyx_t_5numpy_int16_t;
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#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))
#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)
#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)
static CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);
/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type
#else
#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred() PyErr_Occurred()
#endif
/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
#else
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#endif
#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb)
#endif
/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);
/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs) (assert(0), NULL)
#endif
/* PyFunctionFastCall.proto */
#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
__Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
#endif
#define __Pyx_BUILD_ASSERT_EXPR(cond)\
(sizeof(char [1 - 2*!(cond)]) - 1)
#ifndef Py_MEMBER_SIZE
#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)
#endif
static size_t __pyx_pyframe_localsplus_offset = 0;
#include "frameobject.h"
#define __Pxy_PyFrame_Initialize_Offsets()\
((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\
(void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))
#define __Pyx_PyFrame_GetLocalsplus(frame)\
(assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset))
#endif
/* PyObjectCallMethO.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif
/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);
/* DictGetItem.proto */
#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key);
#define __Pyx_PyObject_Dict_GetItem(obj, name)\
(likely(PyDict_CheckExact(obj)) ?\
__Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name))
#else
#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key)
#define __Pyx_PyObject_Dict_GetItem(obj, name) PyObject_GetItem(obj, name)
#endif
/* RaiseTooManyValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);
/* RaiseNeedMoreValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);
/* RaiseNoneIterError.proto */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);
/* GetTopmostException.proto */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);
#endif
/* SaveResetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
#else
#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb)
#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb)
#endif
/* PyErrExceptionMatches.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
#else
#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err)
#endif
/* GetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb)
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* ArgTypeTest.proto */
#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\
__Pyx__ArgTypeTest(obj, type, name, exact))
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);
/* PyObjectCall2Args.proto */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2);
/* IncludeStringH.proto */
#include <string.h>
/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);
/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);
/* StrEquals.proto */
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
#else
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif
/* UnaryNegOverflows.proto */
#define UNARY_NEG_WOULD_OVERFLOW(x)\
(((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))
static CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/
/* GetAttr.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);
/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
(is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
__Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
(__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
__Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
(PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
int wraparound, int boundscheck);
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
int is_list, int wraparound, int boundscheck);
/* ObjectGetItem.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
#else
#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key)
#endif
/* decode_c_string_utf16.proto */
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 0;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = -1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
static CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) {
int byteorder = 1;
return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);
}
/* decode_c_string.proto */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));
/* GetAttr3.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);
/* SwapException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
#endif
/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);
/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
#else
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
#endif
#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)
static CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
/* ListCompAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len)) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
__Pyx_SET_SIZE(list, len + 1);
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif
/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\
(inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif
/* ListExtend.proto */
static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
return -1;
Py_DECREF(none);
return 0;
#else
return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
#endif
}
/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
__Pyx_SET_SIZE(list, len + 1);
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif
/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
/* HasAttr.proto */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
/* PyObject_GenericGetAttrNoDict.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
#endif
/* PyObject_GenericGetAttr.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr
#endif
/* SetVTable.proto */
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
/* PyObjectGetAttrStrNoError.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name);
/* SetupReduce.proto */
static int __Pyx_setup_reduce(PyObject* type_obj);
/* TypeImport.proto */
#ifndef __PYX_HAVE_RT_ImportType_proto
#define __PYX_HAVE_RT_ImportType_proto
enum __Pyx_ImportType_CheckSize {
__Pyx_ImportType_CheckSize_Error = 0,
__Pyx_ImportType_CheckSize_Warn = 1,
__Pyx_ImportType_CheckSize_Ignore = 2
};
static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size);
#endif
/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif
/* CodeObjectCache.proto */
typedef struct {
PyCodeObject* code_object;
int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename);
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
#endif
/* BufferStructDeclare.proto */
typedef struct {
Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
size_t refcount;
Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
__Pyx_Buffer *rcbuffer;
char *data;
__Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;
/* MemviewSliceIsContig.proto */
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
/* OverlappingSlices.proto */
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize);
/* Capsule.proto */
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
/* TypeInfoCompare.proto */
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
/* MemviewSliceValidateAndInit.proto */
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsds_double(PyObject *, int writable_flag);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* RealImag.proto */
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
#define __Pyx_CREAL(z) ((z).real())
#define __Pyx_CIMAG(z) ((z).imag())
#else
#define __Pyx_CREAL(z) (__real__(z))
#define __Pyx_CIMAG(z) (__imag__(z))
#endif
#else
#define __Pyx_CREAL(z) ((z).real)
#define __Pyx_CIMAG(z) ((z).imag)
#endif
#if defined(__cplusplus) && CYTHON_CCOMPLEX\
&& (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103)
#define __Pyx_SET_CREAL(z,x) ((z).real(x))
#define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
#else
#define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
#define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
#endif
/* Arithmetic.proto */
#if CYTHON_CCOMPLEX
#define __Pyx_c_eq_float(a, b) ((a)==(b))
#define __Pyx_c_sum_float(a, b) ((a)+(b))
#define __Pyx_c_diff_float(a, b) ((a)-(b))
#define __Pyx_c_prod_float(a, b) ((a)*(b))
#define __Pyx_c_quot_float(a, b) ((a)/(b))
#define __Pyx_c_neg_float(a) (-(a))
#ifdef __cplusplus
#define __Pyx_c_is_zero_float(z) ((z)==(float)0)
#define __Pyx_c_conj_float(z) (::std::conj(z))
#if 1
#define __Pyx_c_abs_float(z) (::std::abs(z))
#define __Pyx_c_pow_float(a, b) (::std::pow(a, b))
#endif
#else
#define __Pyx_c_is_zero_float(z) ((z)==0)
#define __Pyx_c_conj_float(z) (conjf(z))
#if 1
#define __Pyx_c_abs_float(z) (cabsf(z))
#define __Pyx_c_pow_float(a, b) (cpowf(a, b))
#endif
#endif
#else
static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex);
static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex);
#if 1
static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex);
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex);
#endif
#endif
/* Arithmetic.proto */
#if CYTHON_CCOMPLEX
#define __Pyx_c_eq_double(a, b) ((a)==(b))
#define __Pyx_c_sum_double(a, b) ((a)+(b))
#define __Pyx_c_diff_double(a, b) ((a)-(b))
#define __Pyx_c_prod_double(a, b) ((a)*(b))
#define __Pyx_c_quot_double(a, b) ((a)/(b))
#define __Pyx_c_neg_double(a) (-(a))
#ifdef __cplusplus
#define __Pyx_c_is_zero_double(z) ((z)==(double)0)
#define __Pyx_c_conj_double(z) (::std::conj(z))
#if 1
#define __Pyx_c_abs_double(z) (::std::abs(z))
#define __Pyx_c_pow_double(a, b) (::std::pow(a, b))
#endif
#else
#define __Pyx_c_is_zero_double(z) ((z)==0)
#define __Pyx_c_conj_double(z) (conj(z))
#if 1
#define __Pyx_c_abs_double(z) (cabs(z))
#define __Pyx_c_pow_double(a, b) (cpow(a, b))
#endif
#endif
#else
static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex);
static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex);
#if 1
static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex);
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex);
#endif
#endif
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value);
/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object);
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
/* CIntFromPy.proto */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);
/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'cpython.buffer' */
/* Module declarations from 'libc.string' */
/* Module declarations from 'libc.stdio' */
/* Module declarations from '__builtin__' */
/* Module declarations from 'cpython.type' */
static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;
/* Module declarations from 'cpython' */
/* Module declarations from 'cpython.object' */
/* Module declarations from 'cpython.ref' */
/* Module declarations from 'cpython.mem' */
/* Module declarations from 'numpy' */
/* Module declarations from 'numpy' */
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/
/* Module declarations from 'libc.math' */
/* Module declarations from 'cython.view' */
/* Module declarations from 'cython' */
/* Module declarations from 'dapy.integrators.interpolate' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };
#define __Pyx_MODULE_NAME "dapy.integrators.interpolate"
extern int __pyx_module_is_main_dapy__integrators__interpolate;
int __pyx_module_is_main_dapy__integrators__interpolate = 0;
/* Implementation of 'dapy.integrators.interpolate' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_RuntimeError;
static PyObject *__pyx_builtin_ImportError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static const char __pyx_k_C[] = "C";
static const char __pyx_k_O[] = "O";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_i[] = "i";
static const char __pyx_k_j[] = "j";
static const char __pyx_k_p[] = "p";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_np[] = "np";
static const char __pyx_k_new[] = "__new__";
static const char __pyx_k_obj[] = "obj";
static const char __pyx_k_b_ix[] = "b_ix";
static const char __pyx_k_base[] = "base";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_h_wt[] = "h_wt";
static const char __pyx_k_l_ix[] = "l_ix";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_mode[] = "mode";
static const char __pyx_k_name[] = "name";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_pack[] = "pack";
static const char __pyx_k_r_ix[] = "r_ix";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_step[] = "step";
static const char __pyx_k_stop[] = "stop";
static const char __pyx_k_t_ix[] = "t_ix";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_v_wt[] = "v_wt";
static const char __pyx_k_ASCII[] = "ASCII";
static const char __pyx_k_class[] = "__class__";
static const char __pyx_k_dim_0[] = "dim_0";
static const char __pyx_k_dim_1[] = "dim_1";
static const char __pyx_k_dtype[] = "dtype";
static const char __pyx_k_empty[] = "empty";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_flags[] = "flags";
static const char __pyx_k_numpy[] = "numpy";
static const char __pyx_k_order[] = "order";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_start[] = "start";
static const char __pyx_k_double[] = "double";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_fields[] = "fields";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_pickle[] = "pickle";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_unpack[] = "unpack";
static const char __pyx_k_update[] = "update";
static const char __pyx_k_fortran[] = "fortran";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_n_field[] = "n_field";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_pyx_state[] = "__pyx_state";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_new_fields[] = "new_fields";
static const char __pyx_k_num_thread[] = "num_thread";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_RuntimeError[] = "RuntimeError";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_interp_points[] = "interp_points";
static const char __pyx_k_new_fields_mv[] = "new_fields_mv";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_batch_bilinear_interpolate[] = "batch_bilinear_interpolate";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
static const char __pyx_k_dapy_integrators_interpolate[] = "dapy.integrators.interpolate";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)";
static const char __pyx_k_Batched_two_dimensional_bilinear[] = "Batched two-dimensional bilinear interpolation.";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_dapy_integrators_interpolate_pyx[] = "dapy/integrators/interpolate.pyx";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_n_u_C;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;
static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
static PyObject *__pyx_n_s_ImportError;
static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_PickleError;
static PyObject *__pyx_n_s_RuntimeError;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_View_MemoryView;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_b_ix;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_batch_bilinear_interpolate;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_dapy_integrators_interpolate;
static PyObject *__pyx_kp_s_dapy_integrators_interpolate_pyx;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dim_0;
static PyObject *__pyx_n_s_dim_1;
static PyObject *__pyx_n_u_double;
static PyObject *__pyx_n_s_dtype;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_empty;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_fields;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_h_wt;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_interp_points;
static PyObject *__pyx_n_s_itemsize;
static PyObject *__pyx_kp_s_itemsize_0_for_cython_array;
static PyObject *__pyx_n_s_j;
static PyObject *__pyx_n_s_l_ix;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_n_s_n_field;
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/* "dapy/integrators/interpolate.pyx":11
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* @cython.cdivision(True)
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* double[:, :, :] fields, double[:, :, :, :] interp_points,
* int num_thread=1):
*/
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/* "dapy/integrators/interpolate.pyx":46
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* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
__pyx_t_1 = (0 <= __pyx_v_start);
if (__pyx_t_1) {
__pyx_t_1 = (__pyx_v_start < __pyx_v_shape);
}
__pyx_t_2 = ((!(__pyx_t_1 != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":832
* start += shape
* if not 0 <= start < shape:
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim) # <<<<<<<<<<<<<<
* else:
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"Index out of bounds (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 832, __pyx_L1_error)
/* "View.MemoryView":831
* if start < 0:
* start += shape
* if not 0 <= start < shape: # <<<<<<<<<<<<<<
* _err_dim(IndexError, "Index out of bounds (axis %d)", dim)
* else:
*/
}
/* "View.MemoryView":827
* cdef bint negative_step
*
* if not is_slice: # <<<<<<<<<<<<<<
*
* if start < 0:
*/
goto __pyx_L3;
}
/* "View.MemoryView":835
* else:
*
* negative_step = have_step != 0 and step < 0 # <<<<<<<<<<<<<<
*
* if have_step and step == 0:
*/
/*else*/ {
__pyx_t_1 = ((__pyx_v_have_step != 0) != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L6_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step < 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L6_bool_binop_done:;
__pyx_v_negative_step = __pyx_t_2;
/* "View.MemoryView":837
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
__pyx_t_1 = (__pyx_v_have_step != 0);
if (__pyx_t_1) {
} else {
__pyx_t_2 = __pyx_t_1;
goto __pyx_L9_bool_binop_done;
}
__pyx_t_1 = ((__pyx_v_step == 0) != 0);
__pyx_t_2 = __pyx_t_1;
__pyx_L9_bool_binop_done:;
if (__pyx_t_2) {
/* "View.MemoryView":838
*
* if have_step and step == 0:
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Step may not be zero (axis %d)"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 838, __pyx_L1_error)
/* "View.MemoryView":837
* negative_step = have_step != 0 and step < 0
*
* if have_step and step == 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Step may not be zero (axis %d)", dim)
*
*/
}
/* "View.MemoryView":841
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
__pyx_t_2 = (__pyx_v_have_start != 0);
if (__pyx_t_2) {
/* "View.MemoryView":842
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":843
* if have_start:
* if start < 0:
* start += shape # <<<<<<<<<<<<<<
* if start < 0:
* start = 0
*/
__pyx_v_start = (__pyx_v_start + __pyx_v_shape);
/* "View.MemoryView":844
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":845
* start += shape
* if start < 0:
* start = 0 # <<<<<<<<<<<<<<
* elif start >= shape:
* if negative_step:
*/
__pyx_v_start = 0;
/* "View.MemoryView":844
* if start < 0:
* start += shape
* if start < 0: # <<<<<<<<<<<<<<
* start = 0
* elif start >= shape:
*/
}
/* "View.MemoryView":842
*
* if have_start:
* if start < 0: # <<<<<<<<<<<<<<
* start += shape
* if start < 0:
*/
goto __pyx_L12;
}
/* "View.MemoryView":846
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
__pyx_t_2 = ((__pyx_v_start >= __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":847
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":848
* elif start >= shape:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = shape
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":847
* start = 0
* elif start >= shape:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L14;
}
/* "View.MemoryView":850
* start = shape - 1
* else:
* start = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
/*else*/ {
__pyx_v_start = __pyx_v_shape;
}
__pyx_L14:;
/* "View.MemoryView":846
* if start < 0:
* start = 0
* elif start >= shape: # <<<<<<<<<<<<<<
* if negative_step:
* start = shape - 1
*/
}
__pyx_L12:;
/* "View.MemoryView":841
*
*
* if have_start: # <<<<<<<<<<<<<<
* if start < 0:
* start += shape
*/
goto __pyx_L11;
}
/* "View.MemoryView":852
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":853
* else:
* if negative_step:
* start = shape - 1 # <<<<<<<<<<<<<<
* else:
* start = 0
*/
__pyx_v_start = (__pyx_v_shape - 1);
/* "View.MemoryView":852
* start = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* start = shape - 1
* else:
*/
goto __pyx_L15;
}
/* "View.MemoryView":855
* start = shape - 1
* else:
* start = 0 # <<<<<<<<<<<<<<
*
* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
}
__pyx_L15:;
}
__pyx_L11:;
/* "View.MemoryView":857
* start = 0
*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
* stop += shape
*/
__pyx_t_2 = (__pyx_v_have_stop != 0);
if (__pyx_t_2) {
/* "View.MemoryView":858
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":859
* if have_stop:
* if stop < 0:
* stop += shape # <<<<<<<<<<<<<<
* if stop < 0:
* stop = 0
*/
__pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);
/* "View.MemoryView":860
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":861
* stop += shape
* if stop < 0:
* stop = 0 # <<<<<<<<<<<<<<
* elif stop > shape:
* stop = shape
*/
__pyx_v_stop = 0;
/* "View.MemoryView":860
* if stop < 0:
* stop += shape
* if stop < 0: # <<<<<<<<<<<<<<
* stop = 0
* elif stop > shape:
*/
}
/* "View.MemoryView":858
*
* if have_stop:
* if stop < 0: # <<<<<<<<<<<<<<
* stop += shape
* if stop < 0:
*/
goto __pyx_L17;
}
/* "View.MemoryView":862
* if stop < 0:
* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
* stop = shape
* else:
*/
__pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":863
* stop = 0
* elif stop > shape:
* stop = shape # <<<<<<<<<<<<<<
* else:
* if negative_step:
*/
__pyx_v_stop = __pyx_v_shape;
/* "View.MemoryView":862
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* stop = 0
* elif stop > shape: # <<<<<<<<<<<<<<
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* else:
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__pyx_L17:;
/* "View.MemoryView":857
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*
* if have_stop: # <<<<<<<<<<<<<<
* if stop < 0:
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*/
goto __pyx_L16;
}
/* "View.MemoryView":865
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
/*else*/ {
__pyx_t_2 = (__pyx_v_negative_step != 0);
if (__pyx_t_2) {
/* "View.MemoryView":866
* else:
* if negative_step:
* stop = -1 # <<<<<<<<<<<<<<
* else:
* stop = shape
*/
__pyx_v_stop = -1L;
/* "View.MemoryView":865
* stop = shape
* else:
* if negative_step: # <<<<<<<<<<<<<<
* stop = -1
* else:
*/
goto __pyx_L19;
}
/* "View.MemoryView":868
* stop = -1
* else:
* stop = shape # <<<<<<<<<<<<<<
*
* if not have_step:
*/
/*else*/ {
__pyx_v_stop = __pyx_v_shape;
}
__pyx_L19:;
}
__pyx_L16:;
/* "View.MemoryView":870
* stop = shape
*
* if not have_step: # <<<<<<<<<<<<<<
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*/
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if (__pyx_t_2) {
/* "View.MemoryView":871
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* if not have_step:
* step = 1 # <<<<<<<<<<<<<<
*
*
*/
__pyx_v_step = 1;
/* "View.MemoryView":870
* stop = shape
*
* if not have_step: # <<<<<<<<<<<<<<
* step = 1
*
*/
}
/* "View.MemoryView":875
*
* with cython.cdivision(True):
* new_shape = (stop - start) // step # <<<<<<<<<<<<<<
*
* if (stop - start) - step * new_shape:
*/
__pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step);
/* "View.MemoryView":877
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*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
* new_shape += 1
*
*/
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if (__pyx_t_2) {
/* "View.MemoryView":878
*
* if (stop - start) - step * new_shape:
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*
* if new_shape < 0:
*/
__pyx_v_new_shape = (__pyx_v_new_shape + 1);
/* "View.MemoryView":877
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*
* if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<
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*
*/
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/* "View.MemoryView":880
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*
* if new_shape < 0: # <<<<<<<<<<<<<<
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*/
__pyx_t_2 = ((__pyx_v_new_shape < 0) != 0);
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/* "View.MemoryView":881
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*
*/
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/* "View.MemoryView":880
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* if new_shape < 0: # <<<<<<<<<<<<<<
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*/
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/* "View.MemoryView":884
*
*
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*/
(__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step);
/* "View.MemoryView":885
*
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<<
* dst.suboffsets[new_ndim] = suboffset
*
*/
(__pyx_v_dst->shape[__pyx_v_new_ndim]) = __pyx_v_new_shape;
/* "View.MemoryView":886
* dst.strides[new_ndim] = stride * step
* dst.shape[new_ndim] = new_shape
* dst.suboffsets[new_ndim] = suboffset # <<<<<<<<<<<<<<
*
*
*/
(__pyx_v_dst->suboffsets[__pyx_v_new_ndim]) = __pyx_v_suboffset;
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__pyx_L3:;
/* "View.MemoryView":889
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
__pyx_t_2 = (((__pyx_v_suboffset_dim[0]) < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":890
*
* if suboffset_dim[0] < 0:
* dst.data += start * stride # <<<<<<<<<<<<<<
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride
*/
__pyx_v_dst->data = (__pyx_v_dst->data + (__pyx_v_start * __pyx_v_stride));
/* "View.MemoryView":889
*
*
* if suboffset_dim[0] < 0: # <<<<<<<<<<<<<<
* dst.data += start * stride
* else:
*/
goto __pyx_L23;
}
/* "View.MemoryView":892
* dst.data += start * stride
* else:
* dst.suboffsets[suboffset_dim[0]] += start * stride # <<<<<<<<<<<<<<
*
* if suboffset >= 0:
*/
/*else*/ {
__pyx_t_3 = (__pyx_v_suboffset_dim[0]);
(__pyx_v_dst->suboffsets[__pyx_t_3]) = ((__pyx_v_dst->suboffsets[__pyx_t_3]) + (__pyx_v_start * __pyx_v_stride));
}
__pyx_L23:;
/* "View.MemoryView":894
* dst.suboffsets[suboffset_dim[0]] += start * stride
*
* if suboffset >= 0: # <<<<<<<<<<<<<<
* if not is_slice:
* if new_ndim == 0:
*/
__pyx_t_2 = ((__pyx_v_suboffset >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":895
*
* if suboffset >= 0:
* if not is_slice: # <<<<<<<<<<<<<<
* if new_ndim == 0:
* dst.data = (<char **> dst.data)[0] + suboffset
*/
__pyx_t_2 = ((!(__pyx_v_is_slice != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":896
* if suboffset >= 0:
* if not is_slice:
* if new_ndim == 0: # <<<<<<<<<<<<<<
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
*/
__pyx_t_2 = ((__pyx_v_new_ndim == 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":897
* if not is_slice:
* if new_ndim == 0:
* dst.data = (<char **> dst.data)[0] + suboffset # <<<<<<<<<<<<<<
* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d "
*/
__pyx_v_dst->data = ((((char **)__pyx_v_dst->data)[0]) + __pyx_v_suboffset);
/* "View.MemoryView":896
* if suboffset >= 0:
* if not is_slice:
* if new_ndim == 0: # <<<<<<<<<<<<<<
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
*/
goto __pyx_L26;
}
/* "View.MemoryView":899
* dst.data = (<char **> dst.data)[0] + suboffset
* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d " # <<<<<<<<<<<<<<
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* else:
*/
/*else*/ {
/* "View.MemoryView":900
* else:
* _err_dim(IndexError, "All dimensions preceding dimension %d "
* "must be indexed and not sliced", dim) # <<<<<<<<<<<<<<
* else:
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*/
__pyx_t_3 = __pyx_memoryview_err_dim(__pyx_builtin_IndexError, ((char *)"All dimensions preceding dimension %d must be indexed and not sliced"), __pyx_v_dim); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 899, __pyx_L1_error)
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__pyx_L26:;
/* "View.MemoryView":895
*
* if suboffset >= 0:
* if not is_slice: # <<<<<<<<<<<<<<
* if new_ndim == 0:
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*/
goto __pyx_L25;
}
/* "View.MemoryView":902
* "must be indexed and not sliced", dim)
* else:
* suboffset_dim[0] = new_ndim # <<<<<<<<<<<<<<
*
* return 0
*/
/*else*/ {
(__pyx_v_suboffset_dim[0]) = __pyx_v_new_ndim;
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__pyx_L25:;
/* "View.MemoryView":894
* dst.suboffsets[suboffset_dim[0]] += start * stride
*
* if suboffset >= 0: # <<<<<<<<<<<<<<
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* if new_ndim == 0:
*/
}
/* "View.MemoryView":904
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*
* return 0 # <<<<<<<<<<<<<<
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*
*/
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goto __pyx_L0;
/* "View.MemoryView":807
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* @cname('__pyx_memoryview_slice_memviewslice')
* cdef int slice_memviewslice( # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
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/* function exit code */
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__Pyx_PyGILState_Release(__pyx_gilstate_save);
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/* "View.MemoryView":910
*
* @cname('__pyx_pybuffer_index')
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* Py_ssize_t dim) except NULL:
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*/
static char *__pyx_pybuffer_index(Py_buffer *__pyx_v_view, char *__pyx_v_bufp, Py_ssize_t __pyx_v_index, Py_ssize_t __pyx_v_dim) {
Py_ssize_t __pyx_v_shape;
Py_ssize_t __pyx_v_stride;
Py_ssize_t __pyx_v_suboffset;
Py_ssize_t __pyx_v_itemsize;
char *__pyx_v_resultp;
char *__pyx_r;
__Pyx_RefNannyDeclarations
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
PyObject *__pyx_t_3 = NULL;
PyObject *__pyx_t_4 = NULL;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
__Pyx_RefNannySetupContext("pybuffer_index", 0);
/* "View.MemoryView":912
* cdef char *pybuffer_index(Py_buffer *view, char *bufp, Py_ssize_t index,
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* cdef char *resultp
*/
__pyx_v_suboffset = -1L;
/* "View.MemoryView":913
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* cdef Py_ssize_t itemsize = view.itemsize # <<<<<<<<<<<<<<
* cdef char *resultp
*
*/
__pyx_t_1 = __pyx_v_view->itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":916
* cdef char *resultp
*
* if view.ndim == 0: # <<<<<<<<<<<<<<
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* stride = itemsize
*/
__pyx_t_2 = ((__pyx_v_view->ndim == 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":917
*
* if view.ndim == 0:
* shape = view.len / itemsize # <<<<<<<<<<<<<<
* stride = itemsize
* else:
*/
if (unlikely(__pyx_v_itemsize == 0)) {
PyErr_SetString(PyExc_ZeroDivisionError, "integer division or modulo by zero");
__PYX_ERR(2, 917, __pyx_L1_error)
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else if (sizeof(Py_ssize_t) == sizeof(long) && (!(((Py_ssize_t)-1) > 0)) && unlikely(__pyx_v_itemsize == (Py_ssize_t)-1) && unlikely(UNARY_NEG_WOULD_OVERFLOW(__pyx_v_view->len))) {
PyErr_SetString(PyExc_OverflowError, "value too large to perform division");
__PYX_ERR(2, 917, __pyx_L1_error)
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/* "View.MemoryView":918
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* else:
* shape = view.shape[dim]
*/
__pyx_v_stride = __pyx_v_itemsize;
/* "View.MemoryView":916
* cdef char *resultp
*
* if view.ndim == 0: # <<<<<<<<<<<<<<
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goto __pyx_L3;
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/* "View.MemoryView":920
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/*else*/ {
__pyx_v_shape = (__pyx_v_view->shape[__pyx_v_dim]);
/* "View.MemoryView":921
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/* "View.MemoryView":1110
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/* "View.MemoryView":1126
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goto __pyx_L4_break;
/* "View.MemoryView":1125
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/* "View.MemoryView":1116
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*/
static void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
CYTHON_UNUSED Py_ssize_t __pyx_v_i;
CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;
Py_ssize_t __pyx_v_dst_extent;
Py_ssize_t __pyx_v_src_stride;
Py_ssize_t __pyx_v_dst_stride;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
Py_ssize_t __pyx_t_4;
Py_ssize_t __pyx_t_5;
Py_ssize_t __pyx_t_6;
/* "View.MemoryView":1147
*
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
*/
__pyx_v_src_extent = (__pyx_v_src_shape[0]);
/* "View.MemoryView":1148
* cdef Py_ssize_t i
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0]
*/
__pyx_v_dst_extent = (__pyx_v_dst_shape[0]);
/* "View.MemoryView":1149
* cdef Py_ssize_t src_extent = src_shape[0]
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<<
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
*/
__pyx_v_src_stride = (__pyx_v_src_strides[0]);
/* "View.MemoryView":1150
* cdef Py_ssize_t dst_extent = dst_shape[0]
* cdef Py_ssize_t src_stride = src_strides[0]
* cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<<
*
* if ndim == 1:
*/
__pyx_v_dst_stride = (__pyx_v_dst_strides[0]);
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
__pyx_t_1 = ((__pyx_v_ndim == 1) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
__pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
__pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);
if (__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L5_bool_binop_done;
}
/* "View.MemoryView":1154
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
*/
__pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);
if (__pyx_t_2) {
__pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));
}
__pyx_t_3 = (__pyx_t_2 != 0);
__pyx_t_1 = __pyx_t_3;
__pyx_L5_bool_binop_done:;
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
if (__pyx_t_1) {
/* "View.MemoryView":1155
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));
/* "View.MemoryView":1153
*
* if ndim == 1:
* if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<
* <size_t> src_stride == itemsize == <size_t> dst_stride):
* memcpy(dst_data, src_data, itemsize * dst_extent)
*/
goto __pyx_L4;
}
/* "View.MemoryView":1157
* memcpy(dst_data, src_data, itemsize * dst_extent)
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1158
* else:
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<
* src_data += src_stride
* dst_data += dst_stride
*/
(void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));
/* "View.MemoryView":1159
* for i in range(dst_extent):
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
* else:
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1160
* memcpy(dst_data, src_data, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
* else:
* for i in range(dst_extent):
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L4:;
/* "View.MemoryView":1152
* cdef Py_ssize_t dst_stride = dst_strides[0]
*
* if ndim == 1: # <<<<<<<<<<<<<<
* if (src_stride > 0 and dst_stride > 0 and
* <size_t> src_stride == itemsize == <size_t> dst_stride):
*/
goto __pyx_L3;
}
/* "View.MemoryView":1162
* dst_data += dst_stride
* else:
* for i in range(dst_extent): # <<<<<<<<<<<<<<
* _copy_strided_to_strided(src_data, src_strides + 1,
* dst_data, dst_strides + 1,
*/
/*else*/ {
__pyx_t_4 = __pyx_v_dst_extent;
__pyx_t_5 = __pyx_t_4;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1163
* else:
* for i in range(dst_extent):
* _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<<
* dst_data, dst_strides + 1,
* src_shape + 1, dst_shape + 1,
*/
_copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);
/* "View.MemoryView":1167
* src_shape + 1, dst_shape + 1,
* ndim - 1, itemsize)
* src_data += src_stride # <<<<<<<<<<<<<<
* dst_data += dst_stride
*
*/
__pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);
/* "View.MemoryView":1168
* ndim - 1, itemsize)
* src_data += src_stride
* dst_data += dst_stride # <<<<<<<<<<<<<<
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src,
*/
__pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);
}
}
__pyx_L3:;
/* "View.MemoryView":1140
*
* @cython.cdivision(True)
* cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<
* char *dst_data, Py_ssize_t *dst_strides,
* Py_ssize_t *src_shape, Py_ssize_t *dst_shape,
*/
/* function exit code */
}
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
static void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {
/* "View.MemoryView":1173
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
* _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<
* src.shape, dst.shape, ndim, itemsize)
*
*/
_copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);
/* "View.MemoryView":1170
* dst_data += dst_stride
*
* cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *dst,
* int ndim, size_t itemsize) nogil:
*/
/* function exit code */
}
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {
Py_ssize_t __pyx_v_shape;
Py_ssize_t __pyx_v_size;
Py_ssize_t __pyx_r;
Py_ssize_t __pyx_t_1;
Py_ssize_t *__pyx_t_2;
Py_ssize_t *__pyx_t_3;
Py_ssize_t *__pyx_t_4;
/* "View.MemoryView":1179
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil:
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize # <<<<<<<<<<<<<<
*
* for shape in src.shape[:ndim]:
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_size = __pyx_t_1;
/* "View.MemoryView":1181
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*
* for shape in src.shape[:ndim]: # <<<<<<<<<<<<<<
* size *= shape
*
*/
__pyx_t_3 = (__pyx_v_src->shape + __pyx_v_ndim);
for (__pyx_t_4 = __pyx_v_src->shape; __pyx_t_4 < __pyx_t_3; __pyx_t_4++) {
__pyx_t_2 = __pyx_t_4;
__pyx_v_shape = (__pyx_t_2[0]);
/* "View.MemoryView":1182
*
* for shape in src.shape[:ndim]:
* size *= shape # <<<<<<<<<<<<<<
*
* return size
*/
__pyx_v_size = (__pyx_v_size * __pyx_v_shape);
}
/* "View.MemoryView":1184
* size *= shape
*
* return size # <<<<<<<<<<<<<<
*
* @cname('__pyx_fill_contig_strides_array')
*/
__pyx_r = __pyx_v_size;
goto __pyx_L0;
/* "View.MemoryView":1177
*
* @cname('__pyx_memoryview_slice_get_size')
* cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<
* "Return the size of the memory occupied by the slice in number of bytes"
* cdef Py_ssize_t shape, size = src.memview.view.itemsize
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {
int __pyx_v_idx;
Py_ssize_t __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1196
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
__pyx_t_1 = ((__pyx_v_order == 'F') != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1197
*
* if order == 'F':
* for idx in range(ndim): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride *= shape[idx]
*/
__pyx_t_2 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_2;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_idx = __pyx_t_4;
/* "View.MemoryView":1198
* if order == 'F':
* for idx in range(ndim):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride *= shape[idx]
* else:
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1199
* for idx in range(ndim):
* strides[idx] = stride
* stride *= shape[idx] # <<<<<<<<<<<<<<
* else:
* for idx in range(ndim - 1, -1, -1):
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
/* "View.MemoryView":1196
* cdef int idx
*
* if order == 'F': # <<<<<<<<<<<<<<
* for idx in range(ndim):
* strides[idx] = stride
*/
goto __pyx_L3;
}
/* "View.MemoryView":1201
* stride *= shape[idx]
* else:
* for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* strides[idx] = stride
* stride *= shape[idx]
*/
/*else*/ {
for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) {
__pyx_v_idx = __pyx_t_2;
/* "View.MemoryView":1202
* else:
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride # <<<<<<<<<<<<<<
* stride *= shape[idx]
*
*/
(__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;
/* "View.MemoryView":1203
* for idx in range(ndim - 1, -1, -1):
* strides[idx] = stride
* stride *= shape[idx] # <<<<<<<<<<<<<<
*
* return stride
*/
__pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));
}
}
__pyx_L3:;
/* "View.MemoryView":1205
* stride *= shape[idx]
*
* return stride # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_copy_data_to_temp')
*/
__pyx_r = __pyx_v_stride;
goto __pyx_L0;
/* "View.MemoryView":1187
*
* @cname('__pyx_fill_contig_strides_array')
* cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<
* Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,
* int ndim, char order) nogil:
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1208
*
* @cname('__pyx_memoryview_copy_data_to_temp')
* cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice *tmpslice,
* char order,
*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) {
int __pyx_v_i;
void *__pyx_v_result;
size_t __pyx_v_itemsize;
size_t __pyx_v_size;
void *__pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
struct __pyx_memoryview_obj *__pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
int __pyx_lineno = 0;
const char *__pyx_filename = NULL;
int __pyx_clineno = 0;
/* "View.MemoryView":1219
* cdef void *result
*
* cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<<
* cdef size_t size = slice_get_size(src, ndim)
*
*/
__pyx_t_1 = __pyx_v_src->memview->view.itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":1220
*
* cdef size_t itemsize = src.memview.view.itemsize
* cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<<
*
* result = malloc(size)
*/
__pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim);
/* "View.MemoryView":1222
* cdef size_t size = slice_get_size(src, ndim)
*
* result = malloc(size) # <<<<<<<<<<<<<<
* if not result:
* _err(MemoryError, NULL)
*/
__pyx_v_result = malloc(__pyx_v_size);
/* "View.MemoryView":1223
*
* result = malloc(size)
* if not result: # <<<<<<<<<<<<<<
* _err(MemoryError, NULL)
*
*/
__pyx_t_2 = ((!(__pyx_v_result != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1224
* result = malloc(size)
* if not result:
* _err(MemoryError, NULL) # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_3 = __pyx_memoryview_err(__pyx_builtin_MemoryError, NULL); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(2, 1224, __pyx_L1_error)
/* "View.MemoryView":1223
*
* result = malloc(size)
* if not result: # <<<<<<<<<<<<<<
* _err(MemoryError, NULL)
*
*/
}
/* "View.MemoryView":1227
*
*
* tmpslice.data = <char *> result # <<<<<<<<<<<<<<
* tmpslice.memview = src.memview
* for i in range(ndim):
*/
__pyx_v_tmpslice->data = ((char *)__pyx_v_result);
/* "View.MemoryView":1228
*
* tmpslice.data = <char *> result
* tmpslice.memview = src.memview # <<<<<<<<<<<<<<
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i]
*/
__pyx_t_4 = __pyx_v_src->memview;
__pyx_v_tmpslice->memview = __pyx_t_4;
/* "View.MemoryView":1229
* tmpslice.data = <char *> result
* tmpslice.memview = src.memview
* for i in range(ndim): # <<<<<<<<<<<<<<
* tmpslice.shape[i] = src.shape[i]
* tmpslice.suboffsets[i] = -1
*/
__pyx_t_3 = __pyx_v_ndim;
__pyx_t_5 = __pyx_t_3;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1230
* tmpslice.memview = src.memview
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i] # <<<<<<<<<<<<<<
* tmpslice.suboffsets[i] = -1
*
*/
(__pyx_v_tmpslice->shape[__pyx_v_i]) = (__pyx_v_src->shape[__pyx_v_i]);
/* "View.MemoryView":1231
* for i in range(ndim):
* tmpslice.shape[i] = src.shape[i]
* tmpslice.suboffsets[i] = -1 # <<<<<<<<<<<<<<
*
* fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize,
*/
(__pyx_v_tmpslice->suboffsets[__pyx_v_i]) = -1L;
}
/* "View.MemoryView":1233
* tmpslice.suboffsets[i] = -1
*
* fill_contig_strides_array(&tmpslice.shape[0], &tmpslice.strides[0], itemsize, # <<<<<<<<<<<<<<
* ndim, order)
*
*/
(void)(__pyx_fill_contig_strides_array((&(__pyx_v_tmpslice->shape[0])), (&(__pyx_v_tmpslice->strides[0])), __pyx_v_itemsize, __pyx_v_ndim, __pyx_v_order));
/* "View.MemoryView":1237
*
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if tmpslice.shape[i] == 1:
* tmpslice.strides[i] = 0
*/
__pyx_t_3 = __pyx_v_ndim;
__pyx_t_5 = __pyx_t_3;
for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
__pyx_v_i = __pyx_t_6;
/* "View.MemoryView":1238
*
* for i in range(ndim):
* if tmpslice.shape[i] == 1: # <<<<<<<<<<<<<<
* tmpslice.strides[i] = 0
*
*/
__pyx_t_2 = (((__pyx_v_tmpslice->shape[__pyx_v_i]) == 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1239
* for i in range(ndim):
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/* "View.MemoryView":1294
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1:
* broadcasting = True # <<<<<<<<<<<<<<
* src.strides[i] = 0
* else:
*/
__pyx_v_broadcasting = 1;
/* "View.MemoryView":1295
* if src.shape[i] == 1:
* broadcasting = True
* src.strides[i] = 0 # <<<<<<<<<<<<<<
* else:
* _err_extents(i, dst.shape[i], src.shape[i])
*/
(__pyx_v_src.strides[__pyx_v_i]) = 0;
/* "View.MemoryView":1293
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
* if src.shape[i] == 1: # <<<<<<<<<<<<<<
* broadcasting = True
* src.strides[i] = 0
*/
goto __pyx_L7;
}
/* "View.MemoryView":1297
* src.strides[i] = 0
* else:
* _err_extents(i, dst.shape[i], src.shape[i]) # <<<<<<<<<<<<<<
*
* if src.suboffsets[i] >= 0:
*/
/*else*/ {
__pyx_t_6 = __pyx_memoryview_err_extents(__pyx_v_i, (__pyx_v_dst.shape[__pyx_v_i]), (__pyx_v_src.shape[__pyx_v_i])); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1297, __pyx_L1_error)
}
__pyx_L7:;
/* "View.MemoryView":1292
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
}
/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
__pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1300
*
* if src.suboffsets[i] >= 0:
* _err_dim(ValueError, "Dimension %d is not direct", i) # <<<<<<<<<<<<<<
*
* if slices_overlap(&src, &dst, ndim, itemsize):
*/
__pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)"Dimension %d is not direct"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(2, 1300, __pyx_L1_error)
/* "View.MemoryView":1299
* _err_extents(i, dst.shape[i], src.shape[i])
*
* if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
*/
}
}
/* "View.MemoryView":1302
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
__pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1304
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
__pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1305
*
* if not slice_is_contig(src, order, ndim):
* order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<<
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
*/
__pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);
/* "View.MemoryView":1304
* if slices_overlap(&src, &dst, ndim, itemsize):
*
* if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<
* order = get_best_order(&dst, ndim)
*
*/
}
/* "View.MemoryView":1307
* order = get_best_order(&dst, ndim)
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<<
* src = tmp
*
*/
__pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(2, 1307, __pyx_L1_error)
__pyx_v_tmpdata = __pyx_t_7;
/* "View.MemoryView":1308
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
* src = tmp # <<<<<<<<<<<<<<
*
* if not broadcasting:
*/
__pyx_v_src = __pyx_v_tmp;
/* "View.MemoryView":1302
* _err_dim(ValueError, "Dimension %d is not direct", i)
*
* if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<
*
* if not slice_is_contig(src, order, ndim):
*/
}
/* "View.MemoryView":1310
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1314
*
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<<
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim)
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim);
/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
*/
goto __pyx_L12;
}
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
__pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'F', __pyx_v_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1316
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim):
* direct_copy = slice_is_contig(dst, 'F', ndim) # <<<<<<<<<<<<<<
*
* if direct_copy:
*/
__pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'F', __pyx_v_ndim);
/* "View.MemoryView":1315
* if slice_is_contig(src, 'C', ndim):
* direct_copy = slice_is_contig(dst, 'C', ndim)
* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
}
__pyx_L12:;
/* "View.MemoryView":1318
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_2 = (__pyx_v_direct_copy != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1320
* if direct_copy:
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1321
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim)) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
*/
(void)(memcpy(__pyx_v_dst.data, __pyx_v_src.data, __pyx_memoryview_slice_get_size((&__pyx_v_src), __pyx_v_ndim)));
/* "View.MemoryView":1322
* refcount_copying(&dst, dtype_is_object, ndim, False)
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
* free(tmpdata)
* return 0
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1323
* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1324
* refcount_copying(&dst, dtype_is_object, ndim, True)
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* if order == 'F' == get_best_order(&dst, ndim):
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1318
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
* if direct_copy: # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
}
/* "View.MemoryView":1310
* src = tmp
*
* if not broadcasting: # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1326
* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
__pyx_t_2 = (__pyx_v_order == 'F');
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__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
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if (__pyx_t_8) {
/* "View.MemoryView":1329
*
*
* transpose_memslice(&src) # <<<<<<<<<<<<<<
* transpose_memslice(&dst)
*
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1329, __pyx_L1_error)
/* "View.MemoryView":1330
*
* transpose_memslice(&src)
* transpose_memslice(&dst) # <<<<<<<<<<<<<<
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_dst)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(2, 1330, __pyx_L1_error)
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* return 0
*
* if order == 'F' == get_best_order(&dst, ndim): # <<<<<<<<<<<<<<
*
*
*/
}
/* "View.MemoryView":1332
* transpose_memslice(&dst)
*
* refcount_copying(&dst, dtype_is_object, ndim, False) # <<<<<<<<<<<<<<
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
/* "View.MemoryView":1333
*
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize) # <<<<<<<<<<<<<<
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
*/
copy_strided_to_strided((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize);
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* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
*
* free(tmpdata)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1336
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*
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
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*
* free(tmpdata)
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* @cname('__pyx_memoryview_broadcast_leading')
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1268
*
* @cname('__pyx_memoryview_copy_contents')
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/* "View.MemoryView":1340
*
* @cname('__pyx_memoryview_broadcast_leading')
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* int ndim,
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*/
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int __pyx_v_i;
int __pyx_v_offset;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
/* "View.MemoryView":1344
* int ndim_other) nogil:
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*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_offset = (__pyx_v_ndim_other - __pyx_v_ndim);
/* "View.MemoryView":1346
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*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
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*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
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*
* for i in range(ndim - 1, -1, -1):
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*/
(__pyx_v_mslice->shape[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->shape[__pyx_v_i]);
/* "View.MemoryView":1348
* for i in range(ndim - 1, -1, -1):
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* mslice.strides[i + offset] = mslice.strides[i] # <<<<<<<<<<<<<<
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*
*/
(__pyx_v_mslice->strides[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1349
* mslice.shape[i + offset] = mslice.shape[i]
* mslice.strides[i + offset] = mslice.strides[i]
* mslice.suboffsets[i + offset] = mslice.suboffsets[i] # <<<<<<<<<<<<<<
*
* for i in range(offset):
*/
(__pyx_v_mslice->suboffsets[(__pyx_v_i + __pyx_v_offset)]) = (__pyx_v_mslice->suboffsets[__pyx_v_i]);
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/* "View.MemoryView":1351
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*
* for i in range(offset): # <<<<<<<<<<<<<<
* mslice.shape[i] = 1
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*/
__pyx_t_1 = __pyx_v_offset;
__pyx_t_2 = __pyx_t_1;
for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {
__pyx_v_i = __pyx_t_3;
/* "View.MemoryView":1352
*
* for i in range(offset):
* mslice.shape[i] = 1 # <<<<<<<<<<<<<<
* mslice.strides[i] = mslice.strides[0]
* mslice.suboffsets[i] = -1
*/
(__pyx_v_mslice->shape[__pyx_v_i]) = 1;
/* "View.MemoryView":1353
* for i in range(offset):
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*
*/
(__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]);
/* "View.MemoryView":1354
* mslice.shape[i] = 1
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* mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<<
*
*
*/
(__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L;
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/* "View.MemoryView":1340
*
* @cname('__pyx_memoryview_broadcast_leading')
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* int ndim,
* int ndim_other) nogil:
*/
/* function exit code */
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/* "View.MemoryView":1362
*
* @cname('__pyx_memoryview_refcount_copying')
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* int ndim, bint inc) nogil:
*
*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *__pyx_v_dst, int __pyx_v_dtype_is_object, int __pyx_v_ndim, int __pyx_v_inc) {
int __pyx_t_1;
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*
*
* if dtype_is_object: # <<<<<<<<<<<<<<
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__pyx_t_1 = (__pyx_v_dtype_is_object != 0);
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/* "View.MemoryView":1367
*
* if dtype_is_object:
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* dst.strides, ndim, inc)
*
*/
__pyx_memoryview_refcount_objects_in_slice_with_gil(__pyx_v_dst->data, __pyx_v_dst->shape, __pyx_v_dst->strides, __pyx_v_ndim, __pyx_v_inc);
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*
* if dtype_is_object: # <<<<<<<<<<<<<<
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*/
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/* "View.MemoryView":1362
*
* @cname('__pyx_memoryview_refcount_copying')
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* int ndim, bint inc) nogil:
*
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/* function exit code */
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/* "View.MemoryView":1371
*
* @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
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* Py_ssize_t *strides, int ndim,
* bint inc) with gil:
*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *__pyx_v_data, Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, int __pyx_v_ndim, int __pyx_v_inc) {
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* @cname('__pyx_memoryview_refcount_objects_in_slice')
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__pyx_memoryview_refcount_objects_in_slice(__pyx_v_data, __pyx_v_shape, __pyx_v_strides, __pyx_v_ndim, __pyx_v_inc);
/* "View.MemoryView":1371
*
* @cname('__pyx_memoryview_refcount_objects_in_slice_with_gil')
* cdef void refcount_objects_in_slice_with_gil(char *data, Py_ssize_t *shape, # <<<<<<<<<<<<<<
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Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
if (p->obj) {
e = (*v)(p->obj, a); if (e) return e;
}
if (p->_size) {
e = (*v)(p->_size, a); if (e) return e;
}
if (p->_array_interface) {
e = (*v)(p->_array_interface, a); if (e) return e;
}
if (p->view.obj) {
e = (*v)(p->view.obj, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_memoryview(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
tmp = ((PyObject*)p->obj);
p->obj = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_size);
p->_size = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
tmp = ((PyObject*)p->_array_interface);
p->_array_interface = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
Py_CLEAR(p->view.obj);
return 0;
}
static PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {
PyObject *r;
PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;
r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);
Py_DECREF(x);
return r;
}
static int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {
if (v) {
return __pyx_memoryview___setitem__(o, i, v);
}
else {
PyErr_Format(PyExc_NotImplementedError,
"Subscript deletion not supported by %.200s", Py_TYPE(o)->tp_name);
return -1;
}
}
static PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);
}
static PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);
}
static PyMethodDef __pyx_methods_memoryview[] = {
{"is_c_contig", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},
{"is_f_contig", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},
{"copy", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},
{"copy_fortran", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets_memoryview[] = {
{(char *)"T", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},
{(char *)"base", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},
{(char *)"shape", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},
{(char *)"strides", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},
{(char *)"suboffsets", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},
{(char *)"ndim", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},
{(char *)"itemsize", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},
{(char *)"nbytes", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},
{(char *)"size", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PySequenceMethods __pyx_tp_as_sequence_memoryview = {
__pyx_memoryview___len__, /*sq_length*/
0, /*sq_concat*/
0, /*sq_repeat*/
__pyx_sq_item_memoryview, /*sq_item*/
0, /*sq_slice*/
0, /*sq_ass_item*/
0, /*sq_ass_slice*/
0, /*sq_contains*/
0, /*sq_inplace_concat*/
0, /*sq_inplace_repeat*/
};
static PyMappingMethods __pyx_tp_as_mapping_memoryview = {
__pyx_memoryview___len__, /*mp_length*/
__pyx_memoryview___getitem__, /*mp_subscript*/
__pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/
};
static PyBufferProcs __pyx_tp_as_buffer_memoryview = {
#if PY_MAJOR_VERSION < 3
0, /*bf_getreadbuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getwritebuffer*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getsegcount*/
#endif
#if PY_MAJOR_VERSION < 3
0, /*bf_getcharbuffer*/
#endif
__pyx_memoryview_getbuffer, /*bf_getbuffer*/
0, /*bf_releasebuffer*/
};
static PyTypeObject __pyx_type___pyx_memoryview = {
PyVarObject_HEAD_INIT(0, 0)
"dapy.integrators.interpolate.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;
static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryviewslice_obj *p;
PyObject *o = __pyx_tp_new_memoryview(t, a, k);
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryviewslice_obj *)o);
p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;
p->from_object = Py_None; Py_INCREF(Py_None);
p->from_slice.memview = NULL;
return o;
}
static void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) + 1);
__pyx_memoryviewslice___dealloc__(o);
__Pyx_SET_REFCNT(o, Py_REFCNT(o) - 1);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_pw_15View_dot_MemoryView_16_memoryviewslice_4base_1__get__(o);
}
static PyMethodDef __pyx_methods__memoryviewslice[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_memoryviewslice_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static struct PyGetSetDef __pyx_getsets__memoryviewslice[] = {
{(char *)"base", __pyx_getprop___pyx_memoryviewslice_base, 0, (char *)0, 0},
{0, 0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_memoryviewslice = {
PyVarObject_HEAD_INIT(0, 0)
"dapy.integrators.interpolate._memoryviewslice", /*tp_name*/
sizeof(struct __pyx_memoryviewslice_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc__memoryviewslice, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___repr__, /*tp_repr*/
#else
0, /*tp_repr*/
#endif
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
#if CYTHON_COMPILING_IN_PYPY
__pyx_memoryview___str__, /*tp_str*/
#else
0, /*tp_str*/
#endif
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
"Internal class for passing memoryview slices to Python", /*tp_doc*/
__pyx_tp_traverse__memoryviewslice, /*tp_traverse*/
__pyx_tp_clear__memoryviewslice, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods__memoryviewslice, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets__memoryviewslice, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new__memoryviewslice, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static PyMethodDef __pyx_methods[] = {
{0, 0, 0, 0}
};
#if PY_MAJOR_VERSION >= 3
#if CYTHON_PEP489_MULTI_PHASE_INIT
static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
static int __pyx_pymod_exec_interpolate(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
{Py_mod_create, (void*)__pyx_pymod_create},
{Py_mod_exec, (void*)__pyx_pymod_exec_interpolate},
{0, NULL}
};
#endif
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PyModuleDef_HEAD_INIT,
"interpolate",
__pyx_k_Batched_two_dimensional_bilinear, /* m_doc */
#if CYTHON_PEP489_MULTI_PHASE_INIT
0, /* m_size */
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__pyx_methods /* m_methods */,
#if CYTHON_PEP489_MULTI_PHASE_INIT
__pyx_moduledef_slots, /* m_slots */
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NULL, /* m_reload */
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NULL, /* m_traverse */
NULL, /* m_clear */
NULL /* m_free */
};
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#define CYTHON_SMALL_CODE
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#define CYTHON_SMALL_CODE
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PyUnicode_Compare(**name, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) {
values[name-argnames] = value;
break;
}
name++;
}
if (*name) continue;
else {
PyObject*** argname = argnames;
while (argname != first_kw_arg) {
int cmp = (**argname == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 :
#endif
PyUnicode_Compare(**argname, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) goto arg_passed_twice;
argname++;
}
}
} else
goto invalid_keyword_type;
if (kwds2) {
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
} else {
goto invalid_keyword;
}
}
return 0;
arg_passed_twice:
__Pyx_RaiseDoubleKeywordsError(function_name, key);
goto bad;
invalid_keyword_type:
PyErr_Format(PyExc_TypeError,
"%.200s() keywords must be strings", function_name);
goto bad;
invalid_keyword:
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION < 3
"%.200s() got an unexpected keyword argument '%.200s'",
function_name, PyString_AsString(key));
#else
"%s() got an unexpected keyword argument '%U'",
function_name, key);
#endif
bad:
return -1;
}
/* PyDictVersioning */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
PyObject **dictptr = NULL;
Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
if (offset) {
#if CYTHON_COMPILING_IN_CPYTHON
dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
#else
dictptr = _PyObject_GetDictPtr(obj);
#endif
}
return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
}
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
return 0;
return obj_dict_version == __Pyx_get_object_dict_version(obj);
}
#endif
/* GetModuleGlobalName */
#if CYTHON_USE_DICT_VERSIONS
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
#else
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
#endif
{
PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
} else if (unlikely(PyErr_Occurred())) {
return NULL;
}
#else
result = PyDict_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
#endif
#else
result = PyObject_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
PyErr_Clear();
#endif
return __Pyx_GetBuiltinName(name);
}
/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
PyObject *result;
ternaryfunc call = func->ob_type->tp_call;
if (unlikely(!call))
return PyObject_Call(func, arg, kw);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = (*call)(func, arg, kw);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(__Pyx_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t <= '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case '?': return "'bool'";
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number, ndim;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ndim = ctx->head->field->type->ndim;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
CYTHON_FALLTHROUGH;
case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) &&
(ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
CYTHON_FALLTHROUGH;
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
/* BufferGetAndValidate */
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
if (unlikely(info->buf == NULL)) return;
if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
__Pyx_ReleaseBuffer(info);
}
static void __Pyx_ZeroBuffer(Py_buffer* buf) {
buf->buf = NULL;
buf->obj = NULL;
buf->strides = __Pyx_zeros;
buf->shape = __Pyx_zeros;
buf->suboffsets = __Pyx_minusones;
}
static int __Pyx__GetBufferAndValidate(
Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags,
int nd, int cast, __Pyx_BufFmt_StackElem* stack)
{
buf->buf = NULL;
if (unlikely(__Pyx_GetBuffer(obj, buf, flags) == -1)) {
__Pyx_ZeroBuffer(buf);
return -1;
}
if (unlikely(buf->ndim != nd)) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
nd, buf->ndim);
goto fail;
}
if (!cast) {
__Pyx_BufFmt_Context ctx;
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if (unlikely((size_t)buf->itemsize != dtype->size)) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
buf->itemsize, (buf->itemsize > 1) ? "s" : "",
dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
return 0;
fail:;
__Pyx_SafeReleaseBuffer(buf);
return -1;
}
/* MemviewSliceInit */
static int
__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference)
{
__Pyx_RefNannyDeclarations
int i, retval=-1;
Py_buffer *buf = &memview->view;
__Pyx_RefNannySetupContext("init_memviewslice", 0);
if (unlikely(memviewslice->memview || memviewslice->data)) {
PyErr_SetString(PyExc_ValueError,
"memviewslice is already initialized!");
goto fail;
}
if (buf->strides) {
for (i = 0; i < ndim; i++) {
memviewslice->strides[i] = buf->strides[i];
}
} else {
Py_ssize_t stride = buf->itemsize;
for (i = ndim - 1; i >= 0; i--) {
memviewslice->strides[i] = stride;
stride *= buf->shape[i];
}
}
for (i = 0; i < ndim; i++) {
memviewslice->shape[i] = buf->shape[i];
if (buf->suboffsets) {
memviewslice->suboffsets[i] = buf->suboffsets[i];
} else {
memviewslice->suboffsets[i] = -1;
}
}
memviewslice->memview = memview;
memviewslice->data = (char *)buf->buf;
if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {
Py_INCREF(memview);
}
retval = 0;
goto no_fail;
fail:
memviewslice->memview = 0;
memviewslice->data = 0;
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
#ifndef Py_NO_RETURN
#define Py_NO_RETURN
#endif
static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN {
va_list vargs;
char msg[200];
#ifdef HAVE_STDARG_PROTOTYPES
va_start(vargs, fmt);
#else
va_start(vargs);
#endif
vsnprintf(msg, 200, fmt, vargs);
va_end(vargs);
Py_FatalError(msg);
}
static CYTHON_INLINE int
__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
PyThread_type_lock lock)
{
int result;
PyThread_acquire_lock(lock, 1);
result = (*acquisition_count)++;
PyThread_release_lock(lock);
return result;
}
static CYTHON_INLINE int
__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
PyThread_type_lock lock)
{
int result;
PyThread_acquire_lock(lock, 1);
result = (*acquisition_count)--;
PyThread_release_lock(lock);
return result;
}
static CYTHON_INLINE void
__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno)
{
int first_time;
struct __pyx_memoryview_obj *memview = memslice->memview;
if (unlikely(!memview || (PyObject *) memview == Py_None))
return;
if (unlikely(__pyx_get_slice_count(memview) < 0))
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
first_time = __pyx_add_acquisition_count(memview) == 0;
if (unlikely(first_time)) {
if (have_gil) {
Py_INCREF((PyObject *) memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_INCREF((PyObject *) memview);
PyGILState_Release(_gilstate);
}
}
}
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice,
int have_gil, int lineno) {
int last_time;
struct __pyx_memoryview_obj *memview = memslice->memview;
if (unlikely(!memview || (PyObject *) memview == Py_None)) {
memslice->memview = NULL;
return;
}
if (unlikely(__pyx_get_slice_count(memview) <= 0))
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
last_time = __pyx_sub_acquisition_count(memview) == 1;
memslice->data = NULL;
if (unlikely(last_time)) {
if (have_gil) {
Py_CLEAR(memslice->memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_CLEAR(memslice->memview);
PyGILState_Release(_gilstate);
}
} else {
memslice->memview = NULL;
}
}
/* PyErrFetchRestore */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
tmp_type = tstate->curexc_type;
tmp_value = tstate->curexc_value;
tmp_tb = tstate->curexc_traceback;
tstate->curexc_type = type;
tstate->curexc_value = value;
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
*type = tstate->curexc_type;
*value = tstate->curexc_value;
*tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
}
#endif
/* RaiseException */
#if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
CYTHON_UNUSED PyObject *cause) {
__Pyx_PyThreadState_declare
Py_XINCREF(type);
if (!value || value == Py_None)
value = NULL;
else
Py_INCREF(value);
if (!tb || tb == Py_None)
tb = NULL;
else {
Py_INCREF(tb);
if (!PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto raise_error;
}
}
if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
if (!value) {
Py_INCREF(Py_None);
value = Py_None;
}
#endif
PyErr_NormalizeException(&type, &value, &tb);
} else {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto raise_error;
}
value = type;
type = (PyObject*) Py_TYPE(type);
Py_INCREF(type);
if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto raise_error;
}
}
__Pyx_PyThreadState_assign
__Pyx_ErrRestore(type, value, tb);
return;
raise_error:
Py_XDECREF(value);
Py_XDECREF(type);
Py_XDECREF(tb);
return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
PyObject* owned_instance = NULL;
if (tb == Py_None) {
tb = 0;
} else if (tb && !PyTraceBack_Check(tb)) {
PyErr_SetString(PyExc_TypeError,
"raise: arg 3 must be a traceback or None");
goto bad;
}
if (value == Py_None)
value = 0;
if (PyExceptionInstance_Check(type)) {
if (value) {
PyErr_SetString(PyExc_TypeError,
"instance exception may not have a separate value");
goto bad;
}
value = type;
type = (PyObject*) Py_TYPE(value);
} else if (PyExceptionClass_Check(type)) {
PyObject *instance_class = NULL;
if (value && PyExceptionInstance_Check(value)) {
instance_class = (PyObject*) Py_TYPE(value);
if (instance_class != type) {
int is_subclass = PyObject_IsSubclass(instance_class, type);
if (!is_subclass) {
instance_class = NULL;
} else if (unlikely(is_subclass == -1)) {
goto bad;
} else {
type = instance_class;
}
}
}
if (!instance_class) {
PyObject *args;
if (!value)
args = PyTuple_New(0);
else if (PyTuple_Check(value)) {
Py_INCREF(value);
args = value;
} else
args = PyTuple_Pack(1, value);
if (!args)
goto bad;
owned_instance = PyObject_Call(type, args, NULL);
Py_DECREF(args);
if (!owned_instance)
goto bad;
value = owned_instance;
if (!PyExceptionInstance_Check(value)) {
PyErr_Format(PyExc_TypeError,
"calling %R should have returned an instance of "
"BaseException, not %R",
type, Py_TYPE(value));
goto bad;
}
}
} else {
PyErr_SetString(PyExc_TypeError,
"raise: exception class must be a subclass of BaseException");
goto bad;
}
if (cause) {
PyObject *fixed_cause;
if (cause == Py_None) {
fixed_cause = NULL;
} else if (PyExceptionClass_Check(cause)) {
fixed_cause = PyObject_CallObject(cause, NULL);
if (fixed_cause == NULL)
goto bad;
} else if (PyExceptionInstance_Check(cause)) {
fixed_cause = cause;
Py_INCREF(fixed_cause);
} else {
PyErr_SetString(PyExc_TypeError,
"exception causes must derive from "
"BaseException");
goto bad;
}
PyException_SetCause(value, fixed_cause);
}
PyErr_SetObject(type, value);
if (tb) {
#if CYTHON_COMPILING_IN_PYPY
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
Py_INCREF(tb);
PyErr_Restore(tmp_type, tmp_value, tb);
Py_XDECREF(tmp_tb);
#else
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject* tmp_tb = tstate->curexc_traceback;
if (tb != tmp_tb) {
Py_INCREF(tb);
tstate->curexc_traceback = tb;
Py_XDECREF(tmp_tb);
}
#endif
}
bad:
Py_XDECREF(owned_instance);
return;
}
#endif
/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
PyCFunction meth = PyCFunction_GET_FUNCTION(func);
PyObject *self = PyCFunction_GET_SELF(func);
int flags = PyCFunction_GET_FLAGS(func);
assert(PyCFunction_Check(func));
assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
assert(nargs >= 0);
assert(nargs == 0 || args != NULL);
/* _PyCFunction_FastCallDict() must not be called with an exception set,
because it may clear it (directly or indirectly) and so the
caller loses its exception */
assert(!PyErr_Occurred());
if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
} else {
return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
}
}
#endif
/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
PyObject *globals) {
PyFrameObject *f;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
PyObject **fastlocals;
Py_ssize_t i;
PyObject *result;
assert(globals != NULL);
/* XXX Perhaps we should create a specialized
PyFrame_New() that doesn't take locals, but does
take builtins without sanity checking them.
*/
assert(tstate != NULL);
f = PyFrame_New(tstate, co, globals, NULL);
if (f == NULL) {
return NULL;
}
fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
for (i = 0; i < na; i++) {
Py_INCREF(*args);
fastlocals[i] = *args++;
}
result = PyEval_EvalFrameEx(f,0);
++tstate->recursion_depth;
Py_DECREF(f);
--tstate->recursion_depth;
return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) {
PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
PyObject *globals = PyFunction_GET_GLOBALS(func);
PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
PyObject *closure;
#if PY_MAJOR_VERSION >= 3
PyObject *kwdefs;
#endif
PyObject *kwtuple, **k;
PyObject **d;
Py_ssize_t nd;
Py_ssize_t nk;
PyObject *result;
assert(kwargs == NULL || PyDict_Check(kwargs));
nk = kwargs ? PyDict_Size(kwargs) : 0;
if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
return NULL;
}
if (
#if PY_MAJOR_VERSION >= 3
co->co_kwonlyargcount == 0 &&
#endif
likely(kwargs == NULL || nk == 0) &&
co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
if (argdefs == NULL && co->co_argcount == nargs) {
result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
goto done;
}
else if (nargs == 0 && argdefs != NULL
&& co->co_argcount == Py_SIZE(argdefs)) {
/* function called with no arguments, but all parameters have
a default value: use default values as arguments .*/
args = &PyTuple_GET_ITEM(argdefs, 0);
result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
goto done;
}
}
if (kwargs != NULL) {
Py_ssize_t pos, i;
kwtuple = PyTuple_New(2 * nk);
if (kwtuple == NULL) {
result = NULL;
goto done;
}
k = &PyTuple_GET_ITEM(kwtuple, 0);
pos = i = 0;
while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
Py_INCREF(k[i]);
Py_INCREF(k[i+1]);
i += 2;
}
nk = i / 2;
}
else {
kwtuple = NULL;
k = NULL;
}
closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
if (argdefs != NULL) {
d = &PyTuple_GET_ITEM(argdefs, 0);
nd = Py_SIZE(argdefs);
}
else {
d = NULL;
nd = 0;
}
#if PY_MAJOR_VERSION >= 3
result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, kwdefs, closure);
#else
result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
args, (int)nargs,
k, (int)nk,
d, (int)nd, closure);
#endif
Py_XDECREF(kwtuple);
done:
Py_LeaveRecursiveCall();
return result;
}
#endif
#endif
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* DictGetItem */
#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {
PyObject *value;
value = PyDict_GetItemWithError(d, key);
if (unlikely(!value)) {
if (!PyErr_Occurred()) {
if (unlikely(PyTuple_Check(key))) {
PyObject* args = PyTuple_Pack(1, key);
if (likely(args)) {
PyErr_SetObject(PyExc_KeyError, args);
Py_DECREF(args);
}
} else {
PyErr_SetObject(PyExc_KeyError, key);
}
}
return NULL;
}
Py_INCREF(value);
return value;
}
#endif
/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
/* GetTopmostException */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem *
__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
{
_PyErr_StackItem *exc_info = tstate->exc_info;
while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
exc_info->previous_item != NULL)
{
exc_info = exc_info->previous_item;
}
return exc_info;
}
#endif
/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
*type = exc_info->exc_type;
*value = exc_info->exc_value;
*tb = exc_info->exc_traceback;
#else
*type = tstate->exc_type;
*value = tstate->exc_value;
*tb = tstate->exc_traceback;
#endif
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = type;
exc_info->exc_value = value;
exc_info->exc_traceback = tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = type;
tstate->exc_value = value;
tstate->exc_traceback = tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
#endif
/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
PyObject *exc_type = tstate->curexc_type;
if (exc_type == err) return 1;
if (unlikely(!exc_type)) return 0;
if (unlikely(PyTuple_Check(err)))
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif
/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
#endif
{
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
PyObject *tmp_type, *tmp_value, *tmp_tb;
local_type = tstate->curexc_type;
local_value = tstate->curexc_value;
local_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
if (unlikely(tstate->curexc_type))
#else
if (unlikely(PyErr_Occurred()))
#endif
goto bad;
#if PY_MAJOR_VERSION >= 3
if (local_tb) {
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
goto bad;
}
#endif
Py_XINCREF(local_tb);
Py_XINCREF(local_type);
Py_XINCREF(local_value);
*type = local_type;
*value = local_value;
*tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
#if CYTHON_USE_EXC_INFO_STACK
{
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = local_type;
exc_info->exc_value = local_value;
exc_info->exc_traceback = local_tb;
}
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = local_type;
tstate->exc_value = local_value;
tstate->exc_traceback = local_tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
return 0;
bad:
*type = 0;
*value = 0;
*tb = 0;
Py_XDECREF(local_type);
Py_XDECREF(local_value);
Py_XDECREF(local_tb);
return -1;
}
/* ArgTypeTest */
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)
{
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
else if (exact) {
#if PY_MAJOR_VERSION == 2
if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
#endif
}
else {
if (likely(__Pyx_TypeCheck(obj, type))) return 1;
}
PyErr_Format(PyExc_TypeError,
"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
return 0;
}
/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
PyObject *args, *result = NULL;
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyFunction_FastCall(function, args, 2);
}
#endif
#if CYTHON_FAST_PYCCALL
if (__Pyx_PyFastCFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyCFunction_FastCall(function, args, 2);
}
#endif
args = PyTuple_New(2);
if (unlikely(!args)) goto done;
Py_INCREF(arg1);
PyTuple_SET_ITEM(args, 0, arg1);
Py_INCREF(arg2);
PyTuple_SET_ITEM(args, 1, arg2);
Py_INCREF(function);
result = __Pyx_PyObject_Call(function, args, NULL);
Py_DECREF(args);
Py_DECREF(function);
done:
return result;
}
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
PyObject *runerr;
Py_ssize_t key_value;
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
if (unlikely(!(m && m->sq_item))) {
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
return NULL;
}
key_value = __Pyx_PyIndex_AsSsize_t(index);
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
}
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
PyErr_Clear();
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
}
return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
if (likely(m && m->mp_subscript)) {
return m->mp_subscript(obj, key);
}
return __Pyx_PyObject_GetIndex(obj, key);
}
#endif
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
if (unlikely(stop <= start))
return __Pyx_NewRef(__pyx_empty_unicode);
length = stop - start;
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* GetAttr3 */
static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
return NULL;
__Pyx_PyErr_Clear();
Py_INCREF(d);
return d;
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
PyObject *r = __Pyx_GetAttr(o, n);
return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
}
/* SwapException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = *type;
exc_info->exc_value = *value;
exc_info->exc_traceback = *tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = *type;
tstate->exc_value = *value;
tstate->exc_traceback = *tb;
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#endif
/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_MAJOR_VERSION < 3
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if ((1) && (strchr(__Pyx_MODULE_NAME, '.'))) {
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_MAJOR_VERSION < 3
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
while (a) {
a = a->tp_base;
if (a == b)
return 1;
}
return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
PyObject *mro;
if (a == b) return 1;
mro = a->tp_mro;
if (likely(mro)) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(mro);
for (i = 0; i < n; i++) {
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
return 1;
}
return 0;
}
return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
PyObject *exception, *value, *tb;
int res;
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&exception, &value, &tb);
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
if (!res) {
res = PyObject_IsSubclass(err, exc_type2);
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
}
__Pyx_ErrRestore(exception, value, tb);
return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
if (!res) {
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
}
return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
assert(PyExceptionClass_Check(exc_type));
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
PyObject *t = PyTuple_GET_ITEM(tuple, i);
#if PY_MAJOR_VERSION < 3
if (likely(exc_type == t)) return 1;
#endif
if (likely(PyExceptionClass_Check(t))) {
if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
} else {
}
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
if (likely(err == exc_type)) return 1;
if (likely(PyExceptionClass_Check(err))) {
if (likely(PyExceptionClass_Check(exc_type))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
} else if (likely(PyTuple_Check(exc_type))) {
return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
} else {
}
}
return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
assert(PyExceptionClass_Check(exc_type1));
assert(PyExceptionClass_Check(exc_type2));
if (likely(err == exc_type1 || err == exc_type2)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
}
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif
/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
(void)inplace;
(void)zerodivision_check;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(op1))) {
const long b = intval;
long x;
long a = PyInt_AS_LONG(op1);
x = (long)((unsigned long)a + b);
if (likely((x^a) >= 0 || (x^b) >= 0))
return PyInt_FromLong(x);
return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
#endif
#if CYTHON_USE_PYLONG_INTERNALS
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
#ifdef HAVE_LONG_LONG
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
#endif
const digit* digits = ((PyLongObject*)op1)->ob_digit;
const Py_ssize_t size = Py_SIZE(op1);
if (likely(__Pyx_sst_abs(size) <= 1)) {
a = likely(size) ? digits[0] : 0;
if (size == -1) a = -a;
} else {
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
#endif
}
#endif
if (PyFloat_CheckExact(op1)) {
const long b = intval;
double a = PyFloat_AS_DOUBLE(op1);
double result;
PyFPE_START_PROTECT("add", return NULL)
result = ((double)a) + (double)b;
PyFPE_END_PROTECT(result)
return PyFloat_FromDouble(result);
}
return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif
/* None */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
/* HasAttr */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
PyObject *r;
if (unlikely(!__Pyx_PyBaseString_Check(n))) {
PyErr_SetString(PyExc_TypeError,
"hasattr(): attribute name must be string");
return -1;
}
r = __Pyx_GetAttr(o, n);
if (unlikely(!r)) {
PyErr_Clear();
return 0;
} else {
Py_DECREF(r);
return 1;
}
}
/* PyObject_GenericGetAttrNoDict */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
"'%.50s' object has no attribute '%U'",
tp->tp_name, attr_name);
#else
"'%.50s' object has no attribute '%.400s'",
tp->tp_name, PyString_AS_STRING(attr_name));
#endif
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
PyObject *descr;
PyTypeObject *tp = Py_TYPE(obj);
if (unlikely(!PyString_Check(attr_name))) {
return PyObject_GenericGetAttr(obj, attr_name);
}
assert(!tp->tp_dictoffset);
descr = _PyType_Lookup(tp, attr_name);
if (unlikely(!descr)) {
return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
}
Py_INCREF(descr);
#if PY_MAJOR_VERSION < 3
if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
#endif
{
descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
if (unlikely(f)) {
PyObject *res = f(descr, obj, (PyObject *)tp);
Py_DECREF(descr);
return res;
}
}
return descr;
}
#endif
/* PyObject_GenericGetAttr */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
return PyObject_GenericGetAttr(obj, attr_name);
}
return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
}
#endif
/* SetVTable */
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
/* PyObjectGetAttrStrNoError */
static void __Pyx_PyObject_GetAttrStr_ClearAttributeError(void) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (likely(__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
__Pyx_PyErr_Clear();
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStrNoError(PyObject* obj, PyObject* attr_name) {
PyObject *result;
#if CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_TYPE_SLOTS && PY_VERSION_HEX >= 0x030700B1
PyTypeObject* tp = Py_TYPE(obj);
if (likely(tp->tp_getattro == PyObject_GenericGetAttr)) {
return _PyObject_GenericGetAttrWithDict(obj, attr_name, NULL, 1);
}
#endif
result = __Pyx_PyObject_GetAttrStr(obj, attr_name);
if (unlikely(!result)) {
__Pyx_PyObject_GetAttrStr_ClearAttributeError();
}
return result;
}
/* SetupReduce */
static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
int ret;
PyObject *name_attr;
name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);
if (likely(name_attr)) {
ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
} else {
ret = -1;
}
if (unlikely(ret < 0)) {
PyErr_Clear();
ret = 0;
}
Py_XDECREF(name_attr);
return ret;
}
static int __Pyx_setup_reduce(PyObject* type_obj) {
int ret = 0;
PyObject *object_reduce = NULL;
PyObject *object_reduce_ex = NULL;
PyObject *reduce = NULL;
PyObject *reduce_ex = NULL;
PyObject *reduce_cython = NULL;
PyObject *setstate = NULL;
PyObject *setstate_cython = NULL;
#if CYTHON_USE_PYTYPE_LOOKUP
if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
#else
if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto __PYX_GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
#else
object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto __PYX_BAD;
#endif
reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto __PYX_BAD;
if (reduce_ex == object_reduce_ex) {
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
#else
object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto __PYX_BAD;
#endif
reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto __PYX_BAD;
if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
reduce_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_reduce_cython);
if (likely(reduce_cython)) {
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
} else if (reduce == object_reduce || PyErr_Occurred()) {
goto __PYX_BAD;
}
setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
if (!setstate) PyErr_Clear();
if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
setstate_cython = __Pyx_PyObject_GetAttrStrNoError(type_obj, __pyx_n_s_setstate_cython);
if (likely(setstate_cython)) {
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto __PYX_BAD;
} else if (!setstate || PyErr_Occurred()) {
goto __PYX_BAD;
}
}
PyType_Modified((PyTypeObject*)type_obj);
}
}
goto __PYX_GOOD;
__PYX_BAD:
if (!PyErr_Occurred())
PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
ret = -1;
__PYX_GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
Py_XDECREF(object_reduce);
Py_XDECREF(object_reduce_ex);
#endif
Py_XDECREF(reduce);
Py_XDECREF(reduce_ex);
Py_XDECREF(reduce_cython);
Py_XDECREF(setstate);
Py_XDECREF(setstate_cython);
return ret;
}
/* TypeImport */
#ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,
size_t size, enum __Pyx_ImportType_CheckSize check_size)
{
PyObject *result = 0;
char warning[200];
Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
PyObject *py_basicsize;
#endif
result = PyObject_GetAttrString(module, class_name);
if (!result)
goto bad;
if (!PyType_Check(result)) {
PyErr_Format(PyExc_TypeError,
"%.200s.%.200s is not a type object",
module_name, class_name);
goto bad;
}
#ifndef Py_LIMITED_API
basicsize = ((PyTypeObject *)result)->tp_basicsize;
#else
py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
if (!py_basicsize)
goto bad;
basicsize = PyLong_AsSsize_t(py_basicsize);
Py_DECREF(py_basicsize);
py_basicsize = 0;
if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
goto bad;
#endif
if ((size_t)basicsize < size) {
PyErr_Format(PyExc_ValueError,
"%.200s.%.200s size changed, may indicate binary incompatibility. "
"Expected %zd from C header, got %zd from PyObject",
module_name, class_name, size, basicsize);
goto bad;
}
if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {
PyErr_Format(PyExc_ValueError,
"%.200s.%.200s size changed, may indicate binary incompatibility. "
"Expected %zd from C header, got %zd from PyObject",
module_name, class_name, size, basicsize);
goto bad;
}
else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {
PyOS_snprintf(warning, sizeof(warning),
"%s.%s size changed, may indicate binary incompatibility. "
"Expected %zd from C header, got %zd from PyObject",
module_name, class_name, size, basicsize);
if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
}
return (PyTypeObject *)result;
bad:
Py_XDECREF(result);
return NULL;
}
#endif
/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(CYTHON_NCP_UNUSED PyThreadState *tstate, int c_line) {
PyObject *use_cline;
PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject **cython_runtime_dict;
#endif
if (unlikely(!__pyx_cython_runtime)) {
return c_line;
}
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
if (likely(cython_runtime_dict)) {
__PYX_PY_DICT_LOOKUP_IF_MODIFIED(
use_cline, *cython_runtime_dict,
__Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
} else
#endif
{
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
if (use_cline_obj) {
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
Py_DECREF(use_cline_obj);
} else {
PyErr_Clear();
use_cline = NULL;
}
}
if (!use_cline) {
c_line = 0;
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
}
else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
c_line = 0;
}
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
return c_line;
}
#endif
/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = start + (end - start) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
if (c_line) {
c_line = __Pyx_CLineForTraceback(tstate, c_line);
}
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
}
py_frame = PyFrame_New(
tstate, /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if ((0)) {}
else if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view);
view->obj = NULL;
Py_DECREF(obj);
}
#endif
/* MemviewSliceIsContig */
static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
{
int i, index, step, start;
Py_ssize_t itemsize = mvs.memview->view.itemsize;
if (order == 'F') {
step = 1;
start = 0;
} else {
step = -1;
start = ndim - 1;
}
for (i = 0; i < ndim; i++) {
index = start + step * i;
if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
return 0;
itemsize *= mvs.shape[index];
}
return 1;
}
/* OverlappingSlices */
static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
void **out_start, void **out_end,
int ndim, size_t itemsize)
{
char *start, *end;
int i;
start = end = slice->data;
for (i = 0; i < ndim; i++) {
Py_ssize_t stride = slice->strides[i];
Py_ssize_t extent = slice->shape[i];
if (extent == 0) {
*out_start = *out_end = start;
return;
} else {
if (stride > 0)
end += stride * (extent - 1);
else
start += stride * (extent - 1);
}
}
*out_start = start;
*out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize)
{
void *start1, *end1, *start2, *end2;
__pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
__pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
return (start1 < end2) && (start2 < end1);
}
/* Capsule */
static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
cobj = PyCapsule_New(p, sig, NULL);
#else
cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
return cobj;
}
/* TypeInfoCompare */
static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
int i;
if (!a || !b)
return 0;
if (a == b)
return 1;
if (a->size != b->size || a->typegroup != b->typegroup ||
a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
if (a->typegroup == 'H' || b->typegroup == 'H') {
return a->size == b->size;
} else {
return 0;
}
}
if (a->ndim) {
for (i = 0; i < a->ndim; i++)
if (a->arraysize[i] != b->arraysize[i])
return 0;
}
if (a->typegroup == 'S') {
if (a->flags != b->flags)
return 0;
if (a->fields || b->fields) {
if (!(a->fields && b->fields))
return 0;
for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
__Pyx_StructField *field_a = a->fields + i;
__Pyx_StructField *field_b = b->fields + i;
if (field_a->offset != field_b->offset ||
!__pyx_typeinfo_cmp(field_a->type, field_b->type))
return 0;
}
return !a->fields[i].type && !b->fields[i].type;
}
}
return 1;
}
/* MemviewSliceValidateAndInit */
static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
if (buf->shape[dim] <= 1)
return 1;
if (buf->strides) {
if (spec & __Pyx_MEMVIEW_CONTIG) {
if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
if (unlikely(buf->strides[dim] != sizeof(void *))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (unlikely(buf->strides[dim] != buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_FOLLOW) {
Py_ssize_t stride = buf->strides[dim];
if (stride < 0)
stride = -stride;
if (unlikely(stride < buf->itemsize)) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (unlikely(spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not contiguous in "
"dimension %d", dim);
goto fail;
} else if (unlikely(spec & (__Pyx_MEMVIEW_PTR))) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (unlikely(buf->suboffsets)) {
PyErr_SetString(PyExc_ValueError,
"Buffer exposes suboffsets but no strides");
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
if (spec & __Pyx_MEMVIEW_DIRECT) {
if (unlikely(buf->suboffsets && buf->suboffsets[dim] >= 0)) {
PyErr_Format(PyExc_ValueError,
"Buffer not compatible with direct access "
"in dimension %d.", dim);
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_PTR) {
if (unlikely(!buf->suboffsets || (buf->suboffsets[dim] < 0))) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly accessible "
"in dimension %d.", dim);
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
int i;
if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
Py_ssize_t stride = 1;
for (i = 0; i < ndim; i++) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not fortran contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
} else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
Py_ssize_t stride = 1;
for (i = ndim - 1; i >- 1; i--) {
if (unlikely(stride * buf->itemsize != buf->strides[i] && buf->shape[i] > 1)) {
PyErr_SetString(PyExc_ValueError,
"Buffer not C contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
}
return 1;
fail:
return 0;
}
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj)
{
struct __pyx_memoryview_obj *memview, *new_memview;
__Pyx_RefNannyDeclarations
Py_buffer *buf;
int i, spec = 0, retval = -1;
__Pyx_BufFmt_Context ctx;
int from_memoryview = __pyx_memoryview_check(original_obj);
__Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
original_obj)->typeinfo)) {
memview = (struct __pyx_memoryview_obj *) original_obj;
new_memview = NULL;
} else {
memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
original_obj, buf_flags, 0, dtype);
new_memview = memview;
if (unlikely(!memview))
goto fail;
}
buf = &memview->view;
if (unlikely(buf->ndim != ndim)) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
ndim, buf->ndim);
goto fail;
}
if (new_memview) {
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (unlikely(!__Pyx_BufFmt_CheckString(&ctx, buf->format))) goto fail;
}
if (unlikely((unsigned) buf->itemsize != dtype->size)) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
}
if (buf->len > 0) {
for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (unlikely(!__pyx_check_strides(buf, i, ndim, spec)))
goto fail;
if (unlikely(!__pyx_check_suboffsets(buf, i, ndim, spec)))
goto fail;
}
if (unlikely(buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag)))
goto fail;
}
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
}
retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsds_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS_RO | writable_flag, 3,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dsdsdsds_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,
PyBUF_RECORDS_RO | writable_flag, 4,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
{\
func_type value = func_value;\
if (sizeof(target_type) < sizeof(func_type)) {\
if (unlikely(value != (func_type) (target_type) value)) {\
func_type zero = 0;\
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
return (target_type) -1;\
if (is_unsigned && unlikely(value < zero))\
goto raise_neg_overflow;\
else\
goto raise_overflow;\
}\
}\
return (target_type) value;\
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* Declarations */
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return ::std::complex< float >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
return x + y*(__pyx_t_float_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
__pyx_t_float_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
/* Arithmetic */
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
#if 1
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
if (b.imag == 0) {
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
} else if (fabsf(b.real) >= fabsf(b.imag)) {
if (b.real == 0 && b.imag == 0) {
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag);
} else {
float r = b.imag / b.real;
float s = (float)(1.0) / (b.real + b.imag * r);
return __pyx_t_float_complex_from_parts(
(a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
}
} else {
float r = b.real / b.imag;
float s = (float)(1.0) / (b.imag + b.real * r);
return __pyx_t_float_complex_from_parts(
(a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
}
}
#else
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
if (b.imag == 0) {
return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
} else {
float denom = b.real * b.real + b.imag * b.imag;
return __pyx_t_float_complex_from_parts(
(a.real * b.real + a.imag * b.imag) / denom,
(a.imag * b.real - a.real * b.imag) / denom);
}
}
#endif
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) {
__pyx_t_float_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrtf(z.real*z.real + z.imag*z.imag);
#else
return hypotf(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
__pyx_t_float_complex z;
float r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
float denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
return __Pyx_c_prod_float(a, a);
case 3:
z = __Pyx_c_prod_float(a, a);
return __Pyx_c_prod_float(z, a);
case 4:
z = __Pyx_c_prod_float(a, a);
return __Pyx_c_prod_float(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
} else if (b.imag == 0) {
z.real = powf(a.real, b.real);
z.imag = 0;
return z;
} else if (a.real > 0) {
r = a.real;
theta = 0;
} else {
r = -a.real;
theta = atan2f(0.0, -1.0);
}
} else {
r = __Pyx_c_abs_float(a);
theta = atan2f(a.imag, a.real);
}
lnr = logf(r);
z_r = expf(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cosf(z_theta);
z.imag = z_r * sinf(z_theta);
return z;
}
#endif
#endif
/* Declarations */
#if CYTHON_CCOMPLEX
#ifdef __cplusplus
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return ::std::complex< double >(x, y);
}
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
return x + y*(__pyx_t_double_complex)_Complex_I;
}
#endif
#else
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
__pyx_t_double_complex z;
z.real = x;
z.imag = y;
return z;
}
#endif
/* Arithmetic */
#if CYTHON_CCOMPLEX
#else
static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
return (a.real == b.real) && (a.imag == b.imag);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real + b.real;
z.imag = a.imag + b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real - b.real;
z.imag = a.imag - b.imag;
return z;
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
z.real = a.real * b.real - a.imag * b.imag;
z.imag = a.real * b.imag + a.imag * b.real;
return z;
}
#if 1
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
if (b.imag == 0) {
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
} else if (fabs(b.real) >= fabs(b.imag)) {
if (b.real == 0 && b.imag == 0) {
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag);
} else {
double r = b.imag / b.real;
double s = (double)(1.0) / (b.real + b.imag * r);
return __pyx_t_double_complex_from_parts(
(a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
}
} else {
double r = b.real / b.imag;
double s = (double)(1.0) / (b.imag + b.real * r);
return __pyx_t_double_complex_from_parts(
(a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
}
}
#else
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
if (b.imag == 0) {
return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
} else {
double denom = b.real * b.real + b.imag * b.imag;
return __pyx_t_double_complex_from_parts(
(a.real * b.real + a.imag * b.imag) / denom,
(a.imag * b.real - a.real * b.imag) / denom);
}
}
#endif
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = -a.real;
z.imag = -a.imag;
return z;
}
static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) {
return (a.real == 0) && (a.imag == 0);
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) {
__pyx_t_double_complex z;
z.real = a.real;
z.imag = -a.imag;
return z;
}
#if 1
static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) {
#if !defined(HAVE_HYPOT) || defined(_MSC_VER)
return sqrt(z.real*z.real + z.imag*z.imag);
#else
return hypot(z.real, z.imag);
#endif
}
static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
__pyx_t_double_complex z;
double r, lnr, theta, z_r, z_theta;
if (b.imag == 0 && b.real == (int)b.real) {
if (b.real < 0) {
double denom = a.real * a.real + a.imag * a.imag;
a.real = a.real / denom;
a.imag = -a.imag / denom;
b.real = -b.real;
}
switch ((int)b.real) {
case 0:
z.real = 1;
z.imag = 0;
return z;
case 1:
return a;
case 2:
return __Pyx_c_prod_double(a, a);
case 3:
z = __Pyx_c_prod_double(a, a);
return __Pyx_c_prod_double(z, a);
case 4:
z = __Pyx_c_prod_double(a, a);
return __Pyx_c_prod_double(z, z);
}
}
if (a.imag == 0) {
if (a.real == 0) {
return a;
} else if (b.imag == 0) {
z.real = pow(a.real, b.real);
z.imag = 0;
return z;
} else if (a.real > 0) {
r = a.real;
theta = 0;
} else {
r = -a.real;
theta = atan2(0.0, -1.0);
}
} else {
r = __Pyx_c_abs_double(a);
theta = atan2(a.imag, a.real);
}
lnr = log(r);
z_r = exp(lnr * b.real - theta * b.imag);
z_theta = theta * b.real + lnr * b.imag;
z.real = z_r * cos(z_theta);
z.imag = z_r * sin(z_theta);
return z;
}
#endif
#endif
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) {
const enum NPY_TYPES neg_one = (enum NPY_TYPES) ((enum NPY_TYPES) 0 - (enum NPY_TYPES) 1), const_zero = (enum NPY_TYPES) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(enum NPY_TYPES) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(enum NPY_TYPES) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES),
little, !is_unsigned);
}
}
/* MemviewSliceCopyTemplate */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object)
{
__Pyx_RefNannyDeclarations
int i;
__Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
Py_buffer *buf = &from_memview->view;
PyObject *shape_tuple = NULL;
PyObject *temp_int = NULL;
struct __pyx_array_obj *array_obj = NULL;
struct __pyx_memoryview_obj *memview_obj = NULL;
__Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
for (i = 0; i < ndim; i++) {
if (unlikely(from_mvs->suboffsets[i] >= 0)) {
PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
"indirect dimensions (axis %d)", i);
goto fail;
}
}
shape_tuple = PyTuple_New(ndim);
if (unlikely(!shape_tuple)) {
goto fail;
}
__Pyx_GOTREF(shape_tuple);
for(i = 0; i < ndim; i++) {
temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
if(unlikely(!temp_int)) {
goto fail;
} else {
PyTuple_SET_ITEM(shape_tuple, i, temp_int);
temp_int = NULL;
}
}
array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
if (unlikely(!array_obj)) {
goto fail;
}
__Pyx_GOTREF(array_obj);
memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
(PyObject *) array_obj, contig_flag,
dtype_is_object,
from_mvs->memview->typeinfo);
if (unlikely(!memview_obj))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
goto fail;
if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
dtype_is_object) < 0))
goto fail;
goto no_fail;
fail:
__Pyx_XDECREF(new_mvs.memview);
new_mvs.memview = NULL;
new_mvs.data = NULL;
no_fail:
__Pyx_XDECREF(shape_tuple);
__Pyx_XDECREF(temp_int);
__Pyx_XDECREF(array_obj);
__Pyx_RefNannyFinishContext();
return new_mvs;
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
char val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (char) -1;
}
} else {
char val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (char) -1;
val = __Pyx_PyInt_As_char(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to char");
return (char) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to char");
return (char) -1;
}
/* CheckBinaryVersion */
static int __Pyx_check_binary_version(void) {
char ctversion[4], rtversion[4];
PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
char message[200];
PyOS_snprintf(message, sizeof(message),
"compiletime version %s of module '%.100s' "
"does not match runtime version %s",
ctversion, __Pyx_MODULE_NAME, rtversion);
return PyErr_WarnEx(NULL, message, 1);
}
return 0;
}
/* InitStrings */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
while (t->p) {
#if PY_MAJOR_VERSION < 3
if (t->is_unicode) {
*t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
} else if (t->intern) {
*t->p = PyString_InternFromString(t->s);
} else {
*t->p = PyString_FromStringAndSize(t->s, t->n - 1);
}
#else
if (t->is_unicode | t->is_str) {
if (t->intern) {
*t->p = PyUnicode_InternFromString(t->s);
} else if (t->encoding) {
*t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
} else {
*t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
}
} else {
*t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
}
#endif
if (!*t->p)
return -1;
if (PyObject_Hash(*t->p) == -1)
return -1;
++t;
}
return 0;
}
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
Py_ssize_t ignore;
return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
char* defenc_c;
PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
if (!defenc) return NULL;
defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
{
char* end = defenc_c + PyBytes_GET_SIZE(defenc);
char* c;
for (c = defenc_c; c < end; c++) {
if ((unsigned char) (*c) >= 128) {
PyUnicode_AsASCIIString(o);
return NULL;
}
}
}
#endif
*length = PyBytes_GET_SIZE(defenc);
return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
if (likely(PyUnicode_IS_ASCII(o))) {
*length = PyUnicode_GET_LENGTH(o);
return PyUnicode_AsUTF8(o);
} else {
PyUnicode_AsASCIIString(o);
return NULL;
}
#else
return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
__Pyx_sys_getdefaultencoding_not_ascii &&
#endif
PyUnicode_Check(o)) {
return __Pyx_PyUnicode_AsStringAndSize(o, length);
} else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
if (PyByteArray_Check(o)) {
*length = PyByteArray_GET_SIZE(o);
return PyByteArray_AS_STRING(o);
} else
#endif
{
char* result;
int r = PyBytes_AsStringAndSize(o, &result, length);
if (unlikely(r < 0)) {
return NULL;
} else {
return result;
}
}
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
int is_true = x == Py_True;
if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
else return PyObject_IsTrue(x);
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
int retval;
if (unlikely(!x)) return -1;
retval = __Pyx_PyObject_IsTrue(x);
Py_DECREF(x);
return retval;
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
if (PyLong_Check(result)) {
if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
"__int__ returned non-int (type %.200s). "
"The ability to return an instance of a strict subclass of int "
"is deprecated, and may be removed in a future version of Python.",
Py_TYPE(result)->tp_name)) {
Py_DECREF(result);
return NULL;
}
return result;
}
#endif
PyErr_Format(PyExc_TypeError,
"__%.4s__ returned non-%.4s (type %.200s)",
type_name, type_name, Py_TYPE(result)->tp_name);
Py_DECREF(result);
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
PyNumberMethods *m;
#endif
const char *name = NULL;
PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
if (likely(PyLong_Check(x)))
#endif
return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
m = Py_TYPE(x)->tp_as_number;
#if PY_MAJOR_VERSION < 3
if (m && m->nb_int) {
name = "int";
res = m->nb_int(x);
}
else if (m && m->nb_long) {
name = "long";
res = m->nb_long(x);
}
#else
if (likely(m && m->nb_int)) {
name = "int";
res = m->nb_int(x);
}
#endif
#else
if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
res = PyNumber_Int(x);
}
#endif
if (likely(res)) {
#if PY_MAJOR_VERSION < 3
if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
if (unlikely(!PyLong_CheckExact(res))) {
#endif
return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
}
}
else if (!PyErr_Occurred()) {
PyErr_SetString(PyExc_TypeError,
"an integer is required");
}
return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
Py_ssize_t ival;
PyObject *x;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(b))) {
if (sizeof(Py_ssize_t) >= sizeof(long))
return PyInt_AS_LONG(b);
else
return PyInt_AsSsize_t(b);
}
#endif
if (likely(PyLong_CheckExact(b))) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)b)->ob_digit;
const Py_ssize_t size = Py_SIZE(b);
if (likely(__Pyx_sst_abs(size) <= 1)) {
ival = likely(size) ? digits[0] : 0;
if (size == -1) ival = -ival;
return ival;
} else {
switch (size) {
case 2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -2:
if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -3:
if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case 4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
case -4:
if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
}
break;
}
}
#endif
return PyLong_AsSsize_t(b);
}
x = PyNumber_Index(b);
if (!x) return -1;
ival = PyInt_AsSsize_t(x);
Py_DECREF(x);
return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
return PyInt_FromSize_t(ival);
}
#endif /* Py_PYTHON_H */
|
qnx_fmt_plug.c | /*
* This file is part of John the Ripper password cracker. Written to crack
* QNX shadow hash passwords. algorithm is func(salt . pass x rounds+1)
* func is md5, sha256 or sha512. rounds defaults to 1000, BUT can be specified
* in the hash string and thus is not fixed.
*
* This software is Copyright (c) 2015 JimF, 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_qnx;
#elif FMT_REGISTERS_H
john_register_one(&fmt_qnx);
#else
#include "arch.h"
#undef SIMD_COEF_32
#define FORCE_GENERIC_SHA2 1
#include "sha2.h"
#include "md5.h"
#define _GNU_SOURCE 1
#include <string.h>
#include "params.h"
#include "common.h"
#include "formats.h"
#include "johnswap.h"
#include "simd-intrinsics.h"
#include "misc.h"
#ifdef _OPENMP
#ifndef OMP_SCALE
#define OMP_SCALE 8
#endif
#include <omp.h>
#endif
#include "memdbg.h"
// NOTE, in SSE mode, even if NOT in OMP, we may need to scale, quite a bit, due to needing
// to 'group' passwords based upon length of password.
#ifdef SIMD_COEF_32
#ifdef _OPENMP
#define SIMD_COEF_SCALE (128/SIMD_COEF_32)
#else
#define SIMD_COEF_SCALE (256/SIMD_COEF_32)
#endif
#else
#define SIMD_COEF_SCALE 1
#endif
#define FORMAT_LABEL "qnx"
#ifdef SIMD_COEF_32
#define ALGORITHM_NAME SHA256_ALGORITHM_NAME
#else
#define ALGORITHM_NAME "32/" ARCH_BITS_STR " " SHA2_LIB
#endif
#define PLAINTEXT_LENGTH 48
#define SALT_SIZE sizeof(struct qnx_saltstruct)
#ifdef SIMD_COEF_32
#define MIN_KEYS_PER_CRYPT (SIMD_COEF_32*SIMD_PARA_SHA256)
#define MAX_KEYS_PER_CRYPT (SIMD_COEF_32*SIMD_PARA_SHA256)
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
#define __QNX_CREATE_PROPER_TESTS_ARRAY__
#include "qnx_common.h"
static int (*saved_len);
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static uint32_t (*crypt_out)[BINARY_SIZE / sizeof(uint32_t)];
#ifdef SIMD_COEF_32
static int *(sk_by_len[PLAINTEXT_LENGTH+1]);
static int sk_by_lens[PLAINTEXT_LENGTH+1];
#endif
static struct qnx_saltstruct {
unsigned int len;
unsigned int type; // 5 for md5, 256 for sha256, 512 for sha512
unsigned int rounds;
unsigned char salt[SALT_LENGTH];
} *cur_salt;
static void init(struct fmt_main *self)
{
int omp_t = 1;
int max_crypts;
#ifdef _OPENMP
omp_t = omp_get_max_threads();
omp_t *= OMP_SCALE;
#endif
max_crypts = SIMD_COEF_SCALE * omp_t * MAX_KEYS_PER_CRYPT;
self->params.max_keys_per_crypt = max_crypts;
// we allocate 1 more than needed, and use that 'extra' value as a zero
// length PW to fill in the tail groups in MMX mode.
saved_len = mem_calloc(1 + max_crypts, sizeof(*saved_len));
saved_key = mem_calloc(1 + max_crypts, sizeof(*saved_key));
crypt_out = mem_calloc(1 + max_crypts, sizeof(*crypt_out));
#ifdef SIMD_COEF_32
for (omp_t = 1; omp_t <= PLAINTEXT_LENGTH; ++omp_t)
sk_by_len[omp_t] = mem_calloc(1+max_crypts, sizeof(int));
#endif
}
static void done(void)
{
MEM_FREE(crypt_out);
MEM_FREE(saved_key);
MEM_FREE(saved_len);
}
static void clear_keys(void) {
#ifdef SIMD_COEF_32
memset(sk_by_lens, 0, sizeof(sk_by_lens));
#endif
}
#define COMMON_GET_HASH_VAR crypt_out
#include "common-get-hash.h"
static void set_key(char *key, int index)
{
saved_len[index] = strnzcpyn(saved_key[index], key, sizeof(*saved_key));
#ifdef SIMD_COEF_32
sk_by_len[len][sk_by_lens[len]++] = index;
#endif
}
static char *get_key(int index)
{
saved_key[index][saved_len[index]] = 0;
return saved_key[index];
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
const int count = *pcount;
int index = 0;
int tot_todo = count, inc = 1, *MixOrder = NULL;
#ifdef SIMD_COEF_32
int usesse = 0;
if (cur_salt->type == 5) {
usesse = 1;
}
#ifdef SIMD_PARA_SHA256
if (cur_salt->type == 256) {
usesse = 1;
}
#endif
#ifdef SIMD_PARA_SHA512
if (cur_salt->type == 512)
usesse = 1;
#endif
if (usesse) {
int j, k;
MixOrder = (int*)mem_calloc((count+PLAINTEXT_LENGTH*MAX_KEYS_PER_CRYPT), sizeof(int));
tot_todo = 0;
saved_len[count] = 0; // point all 'tail' MMX buffer elements to this location.
for (j = 1; j < PLAINTEXT_LENGTH; ++j) {
for (k = 0; k < sk_by_lens[j]; ++k)
MixOrder[tot_todo++] = sk_by_len[k];
while (tot_todo % MAX_KEYS_PER_CRYPT)
MixOrder[tot_todo++] = count;
}
}
#endif
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (index = 0; index < tot_todo; index += inc) {
#ifdef SIMD_COEF_32
if (!MixOrder)
#endif
{
int i, len = saved_len[index];
char *pass = saved_key[index];
switch (cur_salt->type) {
case 5:
{
MD5_CTX ctx;
MD5_Init(&ctx);
MD5_Update(&ctx, cur_salt->salt, cur_salt->len);
for (i = 0; i <= cur_salt->rounds; ++i)
MD5_Update(&ctx, pass, len);
MD5_Final((unsigned char*)(crypt_out[index]), &ctx);
break;
}
case 256:
{
SHA256_CTX ctx;
SHA256_Init(&ctx);
SHA256_Update(&ctx, cur_salt->salt, cur_salt->len);
for (i = 0; i <= cur_salt->rounds; ++i)
SHA256_Update(&ctx, pass, len);
SHA256_Final((unsigned char*)(crypt_out[index]), &ctx);
break;
}
case 512:
{
SHA512_CTX ctx;
SHA512_Init(&ctx);
SHA512_Update(&ctx, cur_salt->salt, cur_salt->len);
if (len && 128 % len == 0 && cur_salt->len+len*cur_salt->rounds > 256) {
// we can optimize this, by filling buffer (after the
// first salted buffer), and then simply calling
// jtr_sha512_hash_block 'natively' never having to
// refill the buffer again.
int ex;
for (i = 0; i <= cur_salt->rounds; ++i) {
SHA512_Update(&ctx, pass, len);
if (ctx.total > 128+cur_salt->len)
break;
}
++i;
ex = (256-ctx.total)/len;
i += ex;
ctx.total += ex*len;
jtr_sha512_hash_block(&ctx, ctx.buffer, 1);
while (i+128/len <= cur_salt->rounds) {
ctx.total += 128;
jtr_sha512_hash_block(&ctx, ctx.buffer, 1);
i += 128/len;
}
for (;i <= cur_salt->rounds; ++i)
ctx.total += len;
} else {
for (i = 0; i <= cur_salt->rounds; ++i)
SHA512_Update(&ctx, pass, len);
}
ctx.bIsQnxBuggy = 1;
SHA512_Final((unsigned char*)(crypt_out[index]), &ctx);
break;
}
}
}
}
MEM_FREE(MixOrder);
return count;
}
static void set_salt(void *salt)
{
cur_salt = salt;
}
static void *get_salt(char *ciphertext)
{
static struct qnx_saltstruct out;
char *origptr = strdup(ciphertext), *ct = origptr;
memset(&out, 0, sizeof(out));
ct = strtokm(&ct[1], "@");
if (*ct == 'm') out.type = 5;
else if (*ct == 's') out.type = 256;
else if (*ct == 'S') out.type = 512;
if (ct[1] == ',')
out.rounds = atoi(&ct[2]);
else
out.rounds = ROUNDS_DEFAULT;
ct = strtokm(NULL, "@");
ct = strtokm(NULL, "@");
out.len = strlen(ct);
memcpy(out.salt, ct, out.len);
MEM_FREE(origptr);
return &out;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
for (; index < count; index++)
if (!memcmp(binary, crypt_out[index], ARCH_SIZE))
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
if (cur_salt->type == 5)
return !memcmp(binary, crypt_out[index], BINARY_SIZE_MD5);
if (cur_salt->type == 256)
return !memcmp(binary, crypt_out[index], BINARY_SIZE_SHA256);
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static unsigned int iteration_count(void *salt)
{
return ((struct qnx_saltstruct *)salt)->rounds;
}
static unsigned int algorithm_type(void *salt)
{
return ((struct qnx_saltstruct *)salt)->type;
}
// Public domain hash function by DJ Bernstein
// We are hashing the entire struct
static int salt_hash(void *salt)
{
unsigned char *s = (unsigned char *)salt;
unsigned int hash = 5381;
unsigned int i;
for (i = 0; i < sizeof(struct qnx_saltstruct); i++)
hash = ((hash << 5) + hash) ^ s[i];
return hash & (SALT_HASH_SIZE - 1);
}
struct fmt_main fmt_qnx = {
{
FORMAT_LABEL,
FORMAT_NAME,
"QNX " ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP,
{
"iteration count",
"algorithm [5:MD5 256:SHA256 512:SHA512]",
},
{ NULL },
tests
}, {
init,
done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
get_binary,
get_salt,
{
iteration_count,
algorithm_type,
},
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,
clear_keys,
crypt_all,
{
#define COMMON_GET_HASH_LINK
#include "common-get-hash.h"
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
GB_unop__log10_fp32_fp32.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__log10_fp32_fp32)
// op(A') function: GB (_unop_tran__log10_fp32_fp32)
// C type: float
// A type: float
// cast: float cij = aij
// unaryop: cij = log10f (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 = log10f (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] = log10f (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_LOG10 || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__log10_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 ;
// 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 (float), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
float aij = Ax [p] ;
float z = aij ;
Cx [p] = log10f (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 ;
float aij = Ax [p] ;
float z = aij ;
Cx [p] = log10f (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__log10_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
|
conversion.h | #pragma once
#include "infra/cast.h"
#include <algorithm>
#include <cmath>
namespace gdx {
template <template <typename> typename RasterType, typename T>
RasterType<T> replace_value(const RasterType<T>& ras, const T oldValue, const T newValue)
{
RasterType<T> result(ras.metadata());
std::transform(begin(ras), end(ras), begin(result), [oldValue, newValue](auto value) {
if constexpr (RasterType<T>::raster_type_has_nan) {
if (std::isfinite(value) && value == oldValue) {
return newValue;
}
} else if (value == oldValue) {
return newValue;
}
return value;
});
return result;
}
template <template <typename> typename RasterType, typename TSource, typename TDest>
RasterType<TDest> cast(const RasterType<TSource>& srcData)
{
constexpr bool srcHasNaN = RasterType<TSource>::raster_type_has_nan;
constexpr bool dstHasNaN = RasterType<TDest>::raster_type_has_nan;
auto resultMeta = srcData.metadata();
if constexpr (!dstHasNaN) {
if (resultMeta.nodata) {
if (std::isnan(*resultMeta.nodata)) {
// modify the NaN nodata when the resulting type does not support NaN values
resultMeta.nodata = static_cast<TDest>(*resultMeta.nodata);
} else if (!inf::fits_in_type<TDest>(resultMeta.nodata.value())) {
resultMeta.nodata = std::numeric_limits<TDest>::max();
}
}
}
RasterType<TDest> dstData(resultMeta);
if constexpr (!srcHasNaN && dstHasNaN) {
if (srcData.metadata().nodata) {
auto nodata = *srcData.metadata().nodata;
// nodata values will be replaced with nan
#pragma omp parallel for
for (std::size_t i = 0; i < srcData.size(); ++i) {
if (srcData[i] == nodata) {
dstData[i] = std::numeric_limits<TDest>::quiet_NaN();
} else {
dstData[i] = static_cast<TDest>(srcData[i]);
}
}
return resultMeta;
}
} else if constexpr (srcHasNaN && !dstHasNaN) {
if (resultMeta.nodata) {
auto nodata = static_cast<TDest>(*resultMeta.nodata);
// nan values need to be replaced with the nodata value
#pragma omp parallel for
for (std::size_t i = 0; i < srcData.size(); ++i) {
if (std::isnan(srcData[i]) || srcData[i] == srcData.metadata().nodata) {
dstData[i] = nodata;
} else {
dstData[i] = static_cast<TDest>(srcData[i]);
}
}
return resultMeta;
}
}
// No nodata conversions, regular copy
#pragma omp parallel for
for (std::size_t i = 0; i < srcData.size(); ++i) {
dstData[i] = static_cast<TDest>(srcData[i]);
}
return resultMeta;
}
}
|
Parser.h | //===--- Parser.h - C Language Parser ---------------------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines the Parser interface.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_PARSE_PARSER_H
#define LLVM_CLANG_PARSE_PARSER_H
#include "clang/AST/Availability.h"
#include "clang/Basic/BitmaskEnum.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/OperatorPrecedence.h"
#include "clang/Basic/Specifiers.h"
#include "clang/Lex/CodeCompletionHandler.h"
#include "clang/Lex/Preprocessor.h"
#include "clang/Sema/DeclSpec.h"
#include "clang/Sema/Sema.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/Frontend/OpenMP/OMPContext.h"
#include "llvm/Support/Compiler.h"
#include "llvm/Support/PrettyStackTrace.h"
#include "llvm/Support/SaveAndRestore.h"
#include <memory>
#include <stack>
namespace clang {
class PragmaHandler;
class Scope;
class BalancedDelimiterTracker;
class CorrectionCandidateCallback;
class DeclGroupRef;
class DiagnosticBuilder;
struct LoopHint;
class Parser;
class ParsingDeclRAIIObject;
class ParsingDeclSpec;
class ParsingDeclarator;
class ParsingFieldDeclarator;
class ColonProtectionRAIIObject;
class InMessageExpressionRAIIObject;
class PoisonSEHIdentifiersRAIIObject;
class OMPClause;
class ObjCTypeParamList;
class ObjCTypeParameter;
struct OMPTraitProperty;
struct OMPTraitSelector;
struct OMPTraitSet;
class OMPTraitInfo;
/// Parser - This implements a parser for the C family of languages. After
/// parsing units of the grammar, productions are invoked to handle whatever has
/// been read.
///
class Parser : public CodeCompletionHandler {
friend class ColonProtectionRAIIObject;
friend class ParsingOpenMPDirectiveRAII;
friend class InMessageExpressionRAIIObject;
friend class PoisonSEHIdentifiersRAIIObject;
friend class ObjCDeclContextSwitch;
friend class ParenBraceBracketBalancer;
friend class BalancedDelimiterTracker;
Preprocessor &PP;
/// Tok - The current token we are peeking ahead. All parsing methods assume
/// that this is valid.
Token Tok;
// PrevTokLocation - The location of the token we previously
// consumed. This token is used for diagnostics where we expected to
// see a token following another token (e.g., the ';' at the end of
// a statement).
SourceLocation PrevTokLocation;
/// Tracks an expected type for the current token when parsing an expression.
/// Used by code completion for ranking.
PreferredTypeBuilder PreferredType;
unsigned short ParenCount = 0, BracketCount = 0, BraceCount = 0;
unsigned short MisplacedModuleBeginCount = 0;
/// Actions - These are the callbacks we invoke as we parse various constructs
/// in the file.
Sema &Actions;
DiagnosticsEngine &Diags;
/// ScopeCache - Cache scopes to reduce malloc traffic.
enum { ScopeCacheSize = 16 };
unsigned NumCachedScopes;
Scope *ScopeCache[ScopeCacheSize];
/// Identifiers used for SEH handling in Borland. These are only
/// allowed in particular circumstances
// __except block
IdentifierInfo *Ident__exception_code,
*Ident___exception_code,
*Ident_GetExceptionCode;
// __except filter expression
IdentifierInfo *Ident__exception_info,
*Ident___exception_info,
*Ident_GetExceptionInfo;
// __finally
IdentifierInfo *Ident__abnormal_termination,
*Ident___abnormal_termination,
*Ident_AbnormalTermination;
/// Contextual keywords for Microsoft extensions.
IdentifierInfo *Ident__except;
mutable IdentifierInfo *Ident_sealed;
/// Ident_super - IdentifierInfo for "super", to support fast
/// comparison.
IdentifierInfo *Ident_super;
/// Ident_vector, Ident_bool - cached IdentifierInfos for "vector" and
/// "bool" fast comparison. Only present if AltiVec or ZVector are enabled.
IdentifierInfo *Ident_vector;
IdentifierInfo *Ident_bool;
/// Ident_pixel - cached IdentifierInfos for "pixel" fast comparison.
/// Only present if AltiVec enabled.
IdentifierInfo *Ident_pixel;
/// Objective-C contextual keywords.
IdentifierInfo *Ident_instancetype;
/// Identifier for "introduced".
IdentifierInfo *Ident_introduced;
/// Identifier for "deprecated".
IdentifierInfo *Ident_deprecated;
/// Identifier for "obsoleted".
IdentifierInfo *Ident_obsoleted;
/// Identifier for "unavailable".
IdentifierInfo *Ident_unavailable;
/// Identifier for "message".
IdentifierInfo *Ident_message;
/// Identifier for "strict".
IdentifierInfo *Ident_strict;
/// Identifier for "replacement".
IdentifierInfo *Ident_replacement;
/// Identifiers used by the 'external_source_symbol' attribute.
IdentifierInfo *Ident_language, *Ident_defined_in,
*Ident_generated_declaration;
/// C++11 contextual keywords.
mutable IdentifierInfo *Ident_final;
mutable IdentifierInfo *Ident_GNU_final;
mutable IdentifierInfo *Ident_override;
// C++2a contextual keywords.
mutable IdentifierInfo *Ident_import;
mutable IdentifierInfo *Ident_module;
// C++ type trait keywords that can be reverted to identifiers and still be
// used as type traits.
llvm::SmallDenseMap<IdentifierInfo *, tok::TokenKind> RevertibleTypeTraits;
std::unique_ptr<PragmaHandler> AlignHandler;
std::unique_ptr<PragmaHandler> GCCVisibilityHandler;
std::unique_ptr<PragmaHandler> OptionsHandler;
std::unique_ptr<PragmaHandler> PackHandler;
std::unique_ptr<PragmaHandler> MSStructHandler;
std::unique_ptr<PragmaHandler> UnusedHandler;
std::unique_ptr<PragmaHandler> WeakHandler;
std::unique_ptr<PragmaHandler> RedefineExtnameHandler;
std::unique_ptr<PragmaHandler> FPContractHandler;
std::unique_ptr<PragmaHandler> OpenCLExtensionHandler;
std::unique_ptr<PragmaHandler> OpenMPHandler;
std::unique_ptr<PragmaHandler> PCSectionHandler;
std::unique_ptr<PragmaHandler> MSCommentHandler;
std::unique_ptr<PragmaHandler> MSDetectMismatchHandler;
std::unique_ptr<PragmaHandler> FloatControlHandler;
std::unique_ptr<PragmaHandler> MSPointersToMembers;
std::unique_ptr<PragmaHandler> MSVtorDisp;
std::unique_ptr<PragmaHandler> MSInitSeg;
std::unique_ptr<PragmaHandler> MSDataSeg;
std::unique_ptr<PragmaHandler> MSBSSSeg;
std::unique_ptr<PragmaHandler> MSConstSeg;
std::unique_ptr<PragmaHandler> MSCodeSeg;
std::unique_ptr<PragmaHandler> MSSection;
std::unique_ptr<PragmaHandler> MSRuntimeChecks;
std::unique_ptr<PragmaHandler> MSIntrinsic;
std::unique_ptr<PragmaHandler> MSOptimize;
std::unique_ptr<PragmaHandler> CUDAForceHostDeviceHandler;
std::unique_ptr<PragmaHandler> OptimizeHandler;
std::unique_ptr<PragmaHandler> LoopHintHandler;
std::unique_ptr<PragmaHandler> UnrollHintHandler;
std::unique_ptr<PragmaHandler> NoUnrollHintHandler;
std::unique_ptr<PragmaHandler> UnrollAndJamHintHandler;
std::unique_ptr<PragmaHandler> NoUnrollAndJamHintHandler;
std::unique_ptr<PragmaHandler> FPHandler;
std::unique_ptr<PragmaHandler> STDCFenvAccessHandler;
std::unique_ptr<PragmaHandler> STDCFenvRoundHandler;
std::unique_ptr<PragmaHandler> STDCCXLIMITHandler;
std::unique_ptr<PragmaHandler> STDCUnknownHandler;
std::unique_ptr<PragmaHandler> AttributePragmaHandler;
std::unique_ptr<PragmaHandler> MaxTokensHerePragmaHandler;
std::unique_ptr<PragmaHandler> MaxTokensTotalPragmaHandler;
std::unique_ptr<CommentHandler> CommentSemaHandler;
/// Whether the '>' token acts as an operator or not. This will be
/// true except when we are parsing an expression within a C++
/// template argument list, where the '>' closes the template
/// argument list.
bool GreaterThanIsOperator;
/// ColonIsSacred - When this is false, we aggressively try to recover from
/// code like "foo : bar" as if it were a typo for "foo :: bar". This is not
/// safe in case statements and a few other things. This is managed by the
/// ColonProtectionRAIIObject RAII object.
bool ColonIsSacred;
/// Parsing OpenMP directive mode.
bool OpenMPDirectiveParsing = false;
/// When true, we are directly inside an Objective-C message
/// send expression.
///
/// This is managed by the \c InMessageExpressionRAIIObject class, and
/// should not be set directly.
bool InMessageExpression;
/// Gets set to true after calling ProduceSignatureHelp, it is for a
/// workaround to make sure ProduceSignatureHelp is only called at the deepest
/// function call.
bool CalledSignatureHelp = false;
/// The "depth" of the template parameters currently being parsed.
unsigned TemplateParameterDepth;
/// Current kind of OpenMP clause
OpenMPClauseKind OMPClauseKind = llvm::omp::OMPC_unknown;
/// RAII class that manages the template parameter depth.
class TemplateParameterDepthRAII {
unsigned &Depth;
unsigned AddedLevels;
public:
explicit TemplateParameterDepthRAII(unsigned &Depth)
: Depth(Depth), AddedLevels(0) {}
~TemplateParameterDepthRAII() {
Depth -= AddedLevels;
}
void operator++() {
++Depth;
++AddedLevels;
}
void addDepth(unsigned D) {
Depth += D;
AddedLevels += D;
}
void setAddedDepth(unsigned D) {
Depth = Depth - AddedLevels + D;
AddedLevels = D;
}
unsigned getDepth() const { return Depth; }
unsigned getOriginalDepth() const { return Depth - AddedLevels; }
};
/// Factory object for creating ParsedAttr objects.
AttributeFactory AttrFactory;
/// Gathers and cleans up TemplateIdAnnotations when parsing of a
/// top-level declaration is finished.
SmallVector<TemplateIdAnnotation *, 16> TemplateIds;
void MaybeDestroyTemplateIds() {
if (!TemplateIds.empty() &&
(Tok.is(tok::eof) || !PP.mightHavePendingAnnotationTokens()))
DestroyTemplateIds();
}
void DestroyTemplateIds();
/// RAII object to destroy TemplateIdAnnotations where possible, from a
/// likely-good position during parsing.
struct DestroyTemplateIdAnnotationsRAIIObj {
Parser &Self;
DestroyTemplateIdAnnotationsRAIIObj(Parser &Self) : Self(Self) {}
~DestroyTemplateIdAnnotationsRAIIObj() { Self.MaybeDestroyTemplateIds(); }
};
/// Identifiers which have been declared within a tentative parse.
SmallVector<IdentifierInfo *, 8> TentativelyDeclaredIdentifiers;
/// Tracker for '<' tokens that might have been intended to be treated as an
/// angle bracket instead of a less-than comparison.
///
/// This happens when the user intends to form a template-id, but typoes the
/// template-name or forgets a 'template' keyword for a dependent template
/// name.
///
/// We track these locations from the point where we see a '<' with a
/// name-like expression on its left until we see a '>' or '>>' that might
/// match it.
struct AngleBracketTracker {
/// Flags used to rank candidate template names when there is more than one
/// '<' in a scope.
enum Priority : unsigned short {
/// A non-dependent name that is a potential typo for a template name.
PotentialTypo = 0x0,
/// A dependent name that might instantiate to a template-name.
DependentName = 0x2,
/// A space appears before the '<' token.
SpaceBeforeLess = 0x0,
/// No space before the '<' token
NoSpaceBeforeLess = 0x1,
LLVM_MARK_AS_BITMASK_ENUM(/*LargestValue*/ DependentName)
};
struct Loc {
Expr *TemplateName;
SourceLocation LessLoc;
AngleBracketTracker::Priority Priority;
unsigned short ParenCount, BracketCount, BraceCount;
bool isActive(Parser &P) const {
return P.ParenCount == ParenCount && P.BracketCount == BracketCount &&
P.BraceCount == BraceCount;
}
bool isActiveOrNested(Parser &P) const {
return isActive(P) || P.ParenCount > ParenCount ||
P.BracketCount > BracketCount || P.BraceCount > BraceCount;
}
};
SmallVector<Loc, 8> Locs;
/// Add an expression that might have been intended to be a template name.
/// In the case of ambiguity, we arbitrarily select the innermost such
/// expression, for example in 'foo < bar < baz', 'bar' is the current
/// candidate. No attempt is made to track that 'foo' is also a candidate
/// for the case where we see a second suspicious '>' token.
void add(Parser &P, Expr *TemplateName, SourceLocation LessLoc,
Priority Prio) {
if (!Locs.empty() && Locs.back().isActive(P)) {
if (Locs.back().Priority <= Prio) {
Locs.back().TemplateName = TemplateName;
Locs.back().LessLoc = LessLoc;
Locs.back().Priority = Prio;
}
} else {
Locs.push_back({TemplateName, LessLoc, Prio,
P.ParenCount, P.BracketCount, P.BraceCount});
}
}
/// Mark the current potential missing template location as having been
/// handled (this happens if we pass a "corresponding" '>' or '>>' token
/// or leave a bracket scope).
void clear(Parser &P) {
while (!Locs.empty() && Locs.back().isActiveOrNested(P))
Locs.pop_back();
}
/// Get the current enclosing expression that might hve been intended to be
/// a template name.
Loc *getCurrent(Parser &P) {
if (!Locs.empty() && Locs.back().isActive(P))
return &Locs.back();
return nullptr;
}
};
AngleBracketTracker AngleBrackets;
IdentifierInfo *getSEHExceptKeyword();
/// True if we are within an Objective-C container while parsing C-like decls.
///
/// This is necessary because Sema thinks we have left the container
/// to parse the C-like decls, meaning Actions.getObjCDeclContext() will
/// be NULL.
bool ParsingInObjCContainer;
/// Whether to skip parsing of function bodies.
///
/// This option can be used, for example, to speed up searches for
/// declarations/definitions when indexing.
bool SkipFunctionBodies;
/// The location of the expression statement that is being parsed right now.
/// Used to determine if an expression that is being parsed is a statement or
/// just a regular sub-expression.
SourceLocation ExprStatementTokLoc;
/// Flags describing a context in which we're parsing a statement.
enum class ParsedStmtContext {
/// This context permits declarations in language modes where declarations
/// are not statements.
AllowDeclarationsInC = 0x1,
/// This context permits standalone OpenMP directives.
AllowStandaloneOpenMPDirectives = 0x2,
/// This context is at the top level of a GNU statement expression.
InStmtExpr = 0x4,
/// The context of a regular substatement.
SubStmt = 0,
/// The context of a compound-statement.
Compound = AllowDeclarationsInC | AllowStandaloneOpenMPDirectives,
LLVM_MARK_AS_BITMASK_ENUM(InStmtExpr)
};
/// Act on an expression statement that might be the last statement in a
/// GNU statement expression. Checks whether we are actually at the end of
/// a statement expression and builds a suitable expression statement.
StmtResult handleExprStmt(ExprResult E, ParsedStmtContext StmtCtx);
public:
Parser(Preprocessor &PP, Sema &Actions, bool SkipFunctionBodies);
~Parser() override;
const LangOptions &getLangOpts() const { return PP.getLangOpts(); }
const TargetInfo &getTargetInfo() const { return PP.getTargetInfo(); }
Preprocessor &getPreprocessor() const { return PP; }
Sema &getActions() const { return Actions; }
AttributeFactory &getAttrFactory() { return AttrFactory; }
const Token &getCurToken() const { return Tok; }
Scope *getCurScope() const { return Actions.getCurScope(); }
void incrementMSManglingNumber() const {
return Actions.incrementMSManglingNumber();
}
Decl *getObjCDeclContext() const { return Actions.getObjCDeclContext(); }
// Type forwarding. All of these are statically 'void*', but they may all be
// different actual classes based on the actions in place.
typedef OpaquePtr<DeclGroupRef> DeclGroupPtrTy;
typedef OpaquePtr<TemplateName> TemplateTy;
typedef SmallVector<TemplateParameterList *, 4> TemplateParameterLists;
typedef Sema::FullExprArg FullExprArg;
// Parsing methods.
/// Initialize - Warm up the parser.
///
void Initialize();
/// Parse the first top-level declaration in a translation unit.
bool ParseFirstTopLevelDecl(DeclGroupPtrTy &Result);
/// ParseTopLevelDecl - Parse one top-level declaration. Returns true if
/// the EOF was encountered.
bool ParseTopLevelDecl(DeclGroupPtrTy &Result, bool IsFirstDecl = false);
bool ParseTopLevelDecl() {
DeclGroupPtrTy Result;
return ParseTopLevelDecl(Result);
}
/// ConsumeToken - Consume the current 'peek token' and lex the next one.
/// This does not work with special tokens: string literals, code completion,
/// annotation tokens and balanced tokens must be handled using the specific
/// consume methods.
/// Returns the location of the consumed token.
SourceLocation ConsumeToken() {
assert(!isTokenSpecial() &&
"Should consume special tokens with Consume*Token");
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
bool TryConsumeToken(tok::TokenKind Expected) {
if (Tok.isNot(Expected))
return false;
assert(!isTokenSpecial() &&
"Should consume special tokens with Consume*Token");
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return true;
}
bool TryConsumeToken(tok::TokenKind Expected, SourceLocation &Loc) {
if (!TryConsumeToken(Expected))
return false;
Loc = PrevTokLocation;
return true;
}
/// ConsumeAnyToken - Dispatch to the right Consume* method based on the
/// current token type. This should only be used in cases where the type of
/// the token really isn't known, e.g. in error recovery.
SourceLocation ConsumeAnyToken(bool ConsumeCodeCompletionTok = false) {
if (isTokenParen())
return ConsumeParen();
if (isTokenBracket())
return ConsumeBracket();
if (isTokenBrace())
return ConsumeBrace();
if (isTokenStringLiteral())
return ConsumeStringToken();
if (Tok.is(tok::code_completion))
return ConsumeCodeCompletionTok ? ConsumeCodeCompletionToken()
: handleUnexpectedCodeCompletionToken();
if (Tok.isAnnotation())
return ConsumeAnnotationToken();
return ConsumeToken();
}
SourceLocation getEndOfPreviousToken() {
return PP.getLocForEndOfToken(PrevTokLocation);
}
/// Retrieve the underscored keyword (_Nonnull, _Nullable) that corresponds
/// to the given nullability kind.
IdentifierInfo *getNullabilityKeyword(NullabilityKind nullability) {
return Actions.getNullabilityKeyword(nullability);
}
private:
//===--------------------------------------------------------------------===//
// Low-Level token peeking and consumption methods.
//
/// isTokenParen - Return true if the cur token is '(' or ')'.
bool isTokenParen() const {
return Tok.isOneOf(tok::l_paren, tok::r_paren);
}
/// isTokenBracket - Return true if the cur token is '[' or ']'.
bool isTokenBracket() const {
return Tok.isOneOf(tok::l_square, tok::r_square);
}
/// isTokenBrace - Return true if the cur token is '{' or '}'.
bool isTokenBrace() const {
return Tok.isOneOf(tok::l_brace, tok::r_brace);
}
/// isTokenStringLiteral - True if this token is a string-literal.
bool isTokenStringLiteral() const {
return tok::isStringLiteral(Tok.getKind());
}
/// isTokenSpecial - True if this token requires special consumption methods.
bool isTokenSpecial() const {
return isTokenStringLiteral() || isTokenParen() || isTokenBracket() ||
isTokenBrace() || Tok.is(tok::code_completion) || Tok.isAnnotation();
}
/// Returns true if the current token is '=' or is a type of '='.
/// For typos, give a fixit to '='
bool isTokenEqualOrEqualTypo();
/// Return the current token to the token stream and make the given
/// token the current token.
void UnconsumeToken(Token &Consumed) {
Token Next = Tok;
PP.EnterToken(Consumed, /*IsReinject*/true);
PP.Lex(Tok);
PP.EnterToken(Next, /*IsReinject*/true);
}
SourceLocation ConsumeAnnotationToken() {
assert(Tok.isAnnotation() && "wrong consume method");
SourceLocation Loc = Tok.getLocation();
PrevTokLocation = Tok.getAnnotationEndLoc();
PP.Lex(Tok);
return Loc;
}
/// ConsumeParen - This consume method keeps the paren count up-to-date.
///
SourceLocation ConsumeParen() {
assert(isTokenParen() && "wrong consume method");
if (Tok.getKind() == tok::l_paren)
++ParenCount;
else if (ParenCount) {
AngleBrackets.clear(*this);
--ParenCount; // Don't let unbalanced )'s drive the count negative.
}
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
/// ConsumeBracket - This consume method keeps the bracket count up-to-date.
///
SourceLocation ConsumeBracket() {
assert(isTokenBracket() && "wrong consume method");
if (Tok.getKind() == tok::l_square)
++BracketCount;
else if (BracketCount) {
AngleBrackets.clear(*this);
--BracketCount; // Don't let unbalanced ]'s drive the count negative.
}
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
/// ConsumeBrace - This consume method keeps the brace count up-to-date.
///
SourceLocation ConsumeBrace() {
assert(isTokenBrace() && "wrong consume method");
if (Tok.getKind() == tok::l_brace)
++BraceCount;
else if (BraceCount) {
AngleBrackets.clear(*this);
--BraceCount; // Don't let unbalanced }'s drive the count negative.
}
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
/// ConsumeStringToken - Consume the current 'peek token', lexing a new one
/// and returning the token kind. This method is specific to strings, as it
/// handles string literal concatenation, as per C99 5.1.1.2, translation
/// phase #6.
SourceLocation ConsumeStringToken() {
assert(isTokenStringLiteral() &&
"Should only consume string literals with this method");
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
/// Consume the current code-completion token.
///
/// This routine can be called to consume the code-completion token and
/// continue processing in special cases where \c cutOffParsing() isn't
/// desired, such as token caching or completion with lookahead.
SourceLocation ConsumeCodeCompletionToken() {
assert(Tok.is(tok::code_completion));
PrevTokLocation = Tok.getLocation();
PP.Lex(Tok);
return PrevTokLocation;
}
///\ brief When we are consuming a code-completion token without having
/// matched specific position in the grammar, provide code-completion results
/// based on context.
///
/// \returns the source location of the code-completion token.
SourceLocation handleUnexpectedCodeCompletionToken();
/// Abruptly cut off parsing; mainly used when we have reached the
/// code-completion point.
void cutOffParsing() {
if (PP.isCodeCompletionEnabled())
PP.setCodeCompletionReached();
// Cut off parsing by acting as if we reached the end-of-file.
Tok.setKind(tok::eof);
}
/// Determine if we're at the end of the file or at a transition
/// between modules.
bool isEofOrEom() {
tok::TokenKind Kind = Tok.getKind();
return Kind == tok::eof || Kind == tok::annot_module_begin ||
Kind == tok::annot_module_end || Kind == tok::annot_module_include;
}
/// Checks if the \p Level is valid for use in a fold expression.
bool isFoldOperator(prec::Level Level) const;
/// Checks if the \p Kind is a valid operator for fold expressions.
bool isFoldOperator(tok::TokenKind Kind) const;
/// Initialize all pragma handlers.
void initializePragmaHandlers();
/// Destroy and reset all pragma handlers.
void resetPragmaHandlers();
/// Handle the annotation token produced for #pragma unused(...)
void HandlePragmaUnused();
/// Handle the annotation token produced for
/// #pragma GCC visibility...
void HandlePragmaVisibility();
/// Handle the annotation token produced for
/// #pragma pack...
void HandlePragmaPack();
/// Handle the annotation token produced for
/// #pragma ms_struct...
void HandlePragmaMSStruct();
/// Handle the annotation token produced for
/// #pragma comment...
void HandlePragmaMSComment();
void HandlePragmaMSPointersToMembers();
void HandlePragmaMSVtorDisp();
void HandlePragmaMSPragma();
bool HandlePragmaMSSection(StringRef PragmaName,
SourceLocation PragmaLocation);
bool HandlePragmaMSSegment(StringRef PragmaName,
SourceLocation PragmaLocation);
bool HandlePragmaMSInitSeg(StringRef PragmaName,
SourceLocation PragmaLocation);
/// Handle the annotation token produced for
/// #pragma align...
void HandlePragmaAlign();
/// Handle the annotation token produced for
/// #pragma clang __debug dump...
void HandlePragmaDump();
/// Handle the annotation token produced for
/// #pragma weak id...
void HandlePragmaWeak();
/// Handle the annotation token produced for
/// #pragma weak id = id...
void HandlePragmaWeakAlias();
/// Handle the annotation token produced for
/// #pragma redefine_extname...
void HandlePragmaRedefineExtname();
/// Handle the annotation token produced for
/// #pragma STDC FP_CONTRACT...
void HandlePragmaFPContract();
/// Handle the annotation token produced for
/// #pragma STDC FENV_ACCESS...
void HandlePragmaFEnvAccess();
/// Handle the annotation token produced for
/// #pragma STDC FENV_ROUND...
void HandlePragmaFEnvRound();
/// Handle the annotation token produced for
/// #pragma float_control
void HandlePragmaFloatControl();
/// \brief Handle the annotation token produced for
/// #pragma clang fp ...
void HandlePragmaFP();
/// Handle the annotation token produced for
/// #pragma OPENCL EXTENSION...
void HandlePragmaOpenCLExtension();
/// Handle the annotation token produced for
/// #pragma clang __debug captured
StmtResult HandlePragmaCaptured();
/// Handle the annotation token produced for
/// #pragma clang loop and #pragma unroll.
bool HandlePragmaLoopHint(LoopHint &Hint);
bool ParsePragmaAttributeSubjectMatchRuleSet(
attr::ParsedSubjectMatchRuleSet &SubjectMatchRules,
SourceLocation &AnyLoc, SourceLocation &LastMatchRuleEndLoc);
void HandlePragmaAttribute();
/// GetLookAheadToken - This peeks ahead N tokens and returns that token
/// without consuming any tokens. LookAhead(0) returns 'Tok', LookAhead(1)
/// returns the token after Tok, etc.
///
/// Note that this differs from the Preprocessor's LookAhead method, because
/// the Parser always has one token lexed that the preprocessor doesn't.
///
const Token &GetLookAheadToken(unsigned N) {
if (N == 0 || Tok.is(tok::eof)) return Tok;
return PP.LookAhead(N-1);
}
public:
/// NextToken - This peeks ahead one token and returns it without
/// consuming it.
const Token &NextToken() {
return PP.LookAhead(0);
}
/// getTypeAnnotation - Read a parsed type out of an annotation token.
static TypeResult getTypeAnnotation(const Token &Tok) {
if (!Tok.getAnnotationValue())
return TypeError();
return ParsedType::getFromOpaquePtr(Tok.getAnnotationValue());
}
private:
static void setTypeAnnotation(Token &Tok, TypeResult T) {
assert((T.isInvalid() || T.get()) &&
"produced a valid-but-null type annotation?");
Tok.setAnnotationValue(T.isInvalid() ? nullptr : T.get().getAsOpaquePtr());
}
static NamedDecl *getNonTypeAnnotation(const Token &Tok) {
return static_cast<NamedDecl*>(Tok.getAnnotationValue());
}
static void setNonTypeAnnotation(Token &Tok, NamedDecl *ND) {
Tok.setAnnotationValue(ND);
}
static IdentifierInfo *getIdentifierAnnotation(const Token &Tok) {
return static_cast<IdentifierInfo*>(Tok.getAnnotationValue());
}
static void setIdentifierAnnotation(Token &Tok, IdentifierInfo *ND) {
Tok.setAnnotationValue(ND);
}
/// Read an already-translated primary expression out of an annotation
/// token.
static ExprResult getExprAnnotation(const Token &Tok) {
return ExprResult::getFromOpaquePointer(Tok.getAnnotationValue());
}
/// Set the primary expression corresponding to the given annotation
/// token.
static void setExprAnnotation(Token &Tok, ExprResult ER) {
Tok.setAnnotationValue(ER.getAsOpaquePointer());
}
public:
// If NeedType is true, then TryAnnotateTypeOrScopeToken will try harder to
// find a type name by attempting typo correction.
bool TryAnnotateTypeOrScopeToken();
bool TryAnnotateTypeOrScopeTokenAfterScopeSpec(CXXScopeSpec &SS,
bool IsNewScope);
bool TryAnnotateCXXScopeToken(bool EnteringContext = false);
bool MightBeCXXScopeToken() {
return Tok.is(tok::identifier) || Tok.is(tok::coloncolon) ||
(Tok.is(tok::annot_template_id) &&
NextToken().is(tok::coloncolon)) ||
Tok.is(tok::kw_decltype) || Tok.is(tok::kw___super);
}
bool TryAnnotateOptionalCXXScopeToken(bool EnteringContext = false) {
return MightBeCXXScopeToken() && TryAnnotateCXXScopeToken(EnteringContext);
}
private:
enum AnnotatedNameKind {
/// Annotation has failed and emitted an error.
ANK_Error,
/// The identifier is a tentatively-declared name.
ANK_TentativeDecl,
/// The identifier is a template name. FIXME: Add an annotation for that.
ANK_TemplateName,
/// The identifier can't be resolved.
ANK_Unresolved,
/// Annotation was successful.
ANK_Success
};
AnnotatedNameKind TryAnnotateName(CorrectionCandidateCallback *CCC = nullptr);
/// Push a tok::annot_cxxscope token onto the token stream.
void AnnotateScopeToken(CXXScopeSpec &SS, bool IsNewAnnotation);
/// TryAltiVecToken - Check for context-sensitive AltiVec identifier tokens,
/// replacing them with the non-context-sensitive keywords. This returns
/// true if the token was replaced.
bool TryAltiVecToken(DeclSpec &DS, SourceLocation Loc,
const char *&PrevSpec, unsigned &DiagID,
bool &isInvalid) {
if (!getLangOpts().AltiVec && !getLangOpts().ZVector)
return false;
if (Tok.getIdentifierInfo() != Ident_vector &&
Tok.getIdentifierInfo() != Ident_bool &&
(!getLangOpts().AltiVec || Tok.getIdentifierInfo() != Ident_pixel))
return false;
return TryAltiVecTokenOutOfLine(DS, Loc, PrevSpec, DiagID, isInvalid);
}
/// TryAltiVecVectorToken - Check for context-sensitive AltiVec vector
/// identifier token, replacing it with the non-context-sensitive __vector.
/// This returns true if the token was replaced.
bool TryAltiVecVectorToken() {
if ((!getLangOpts().AltiVec && !getLangOpts().ZVector) ||
Tok.getIdentifierInfo() != Ident_vector) return false;
return TryAltiVecVectorTokenOutOfLine();
}
bool TryAltiVecVectorTokenOutOfLine();
bool TryAltiVecTokenOutOfLine(DeclSpec &DS, SourceLocation Loc,
const char *&PrevSpec, unsigned &DiagID,
bool &isInvalid);
/// Returns true if the current token is the identifier 'instancetype'.
///
/// Should only be used in Objective-C language modes.
bool isObjCInstancetype() {
assert(getLangOpts().ObjC);
if (Tok.isAnnotation())
return false;
if (!Ident_instancetype)
Ident_instancetype = PP.getIdentifierInfo("instancetype");
return Tok.getIdentifierInfo() == Ident_instancetype;
}
/// TryKeywordIdentFallback - For compatibility with system headers using
/// keywords as identifiers, attempt to convert the current token to an
/// identifier and optionally disable the keyword for the remainder of the
/// translation unit. This returns false if the token was not replaced,
/// otherwise emits a diagnostic and returns true.
bool TryKeywordIdentFallback(bool DisableKeyword);
/// Get the TemplateIdAnnotation from the token.
TemplateIdAnnotation *takeTemplateIdAnnotation(const Token &tok);
/// TentativeParsingAction - An object that is used as a kind of "tentative
/// parsing transaction". It gets instantiated to mark the token position and
/// after the token consumption is done, Commit() or Revert() is called to
/// either "commit the consumed tokens" or revert to the previously marked
/// token position. Example:
///
/// TentativeParsingAction TPA(*this);
/// ConsumeToken();
/// ....
/// TPA.Revert();
///
class TentativeParsingAction {
Parser &P;
PreferredTypeBuilder PrevPreferredType;
Token PrevTok;
size_t PrevTentativelyDeclaredIdentifierCount;
unsigned short PrevParenCount, PrevBracketCount, PrevBraceCount;
bool isActive;
public:
explicit TentativeParsingAction(Parser& p) : P(p) {
PrevPreferredType = P.PreferredType;
PrevTok = P.Tok;
PrevTentativelyDeclaredIdentifierCount =
P.TentativelyDeclaredIdentifiers.size();
PrevParenCount = P.ParenCount;
PrevBracketCount = P.BracketCount;
PrevBraceCount = P.BraceCount;
P.PP.EnableBacktrackAtThisPos();
isActive = true;
}
void Commit() {
assert(isActive && "Parsing action was finished!");
P.TentativelyDeclaredIdentifiers.resize(
PrevTentativelyDeclaredIdentifierCount);
P.PP.CommitBacktrackedTokens();
isActive = false;
}
void Revert() {
assert(isActive && "Parsing action was finished!");
P.PP.Backtrack();
P.PreferredType = PrevPreferredType;
P.Tok = PrevTok;
P.TentativelyDeclaredIdentifiers.resize(
PrevTentativelyDeclaredIdentifierCount);
P.ParenCount = PrevParenCount;
P.BracketCount = PrevBracketCount;
P.BraceCount = PrevBraceCount;
isActive = false;
}
~TentativeParsingAction() {
assert(!isActive && "Forgot to call Commit or Revert!");
}
};
/// A TentativeParsingAction that automatically reverts in its destructor.
/// Useful for disambiguation parses that will always be reverted.
class RevertingTentativeParsingAction
: private Parser::TentativeParsingAction {
public:
RevertingTentativeParsingAction(Parser &P)
: Parser::TentativeParsingAction(P) {}
~RevertingTentativeParsingAction() { Revert(); }
};
class UnannotatedTentativeParsingAction;
/// ObjCDeclContextSwitch - An object used to switch context from
/// an objective-c decl context to its enclosing decl context and
/// back.
class ObjCDeclContextSwitch {
Parser &P;
Decl *DC;
SaveAndRestore<bool> WithinObjCContainer;
public:
explicit ObjCDeclContextSwitch(Parser &p)
: P(p), DC(p.getObjCDeclContext()),
WithinObjCContainer(P.ParsingInObjCContainer, DC != nullptr) {
if (DC)
P.Actions.ActOnObjCTemporaryExitContainerContext(cast<DeclContext>(DC));
}
~ObjCDeclContextSwitch() {
if (DC)
P.Actions.ActOnObjCReenterContainerContext(cast<DeclContext>(DC));
}
};
/// ExpectAndConsume - The parser expects that 'ExpectedTok' is next in the
/// input. If so, it is consumed and false is returned.
///
/// If a trivial punctuator misspelling is encountered, a FixIt error
/// diagnostic is issued and false is returned after recovery.
///
/// If the input is malformed, this emits the specified diagnostic and true is
/// returned.
bool ExpectAndConsume(tok::TokenKind ExpectedTok,
unsigned Diag = diag::err_expected,
StringRef DiagMsg = "");
/// The parser expects a semicolon and, if present, will consume it.
///
/// If the next token is not a semicolon, this emits the specified diagnostic,
/// or, if there's just some closing-delimiter noise (e.g., ')' or ']') prior
/// to the semicolon, consumes that extra token.
bool ExpectAndConsumeSemi(unsigned DiagID);
/// The kind of extra semi diagnostic to emit.
enum ExtraSemiKind {
OutsideFunction = 0,
InsideStruct = 1,
InstanceVariableList = 2,
AfterMemberFunctionDefinition = 3
};
/// Consume any extra semi-colons until the end of the line.
void ConsumeExtraSemi(ExtraSemiKind Kind, DeclSpec::TST T = TST_unspecified);
/// Return false if the next token is an identifier. An 'expected identifier'
/// error is emitted otherwise.
///
/// The parser tries to recover from the error by checking if the next token
/// is a C++ keyword when parsing Objective-C++. Return false if the recovery
/// was successful.
bool expectIdentifier();
/// Kinds of compound pseudo-tokens formed by a sequence of two real tokens.
enum class CompoundToken {
/// A '(' '{' beginning a statement-expression.
StmtExprBegin,
/// A '}' ')' ending a statement-expression.
StmtExprEnd,
/// A '[' '[' beginning a C++11 or C2x attribute.
AttrBegin,
/// A ']' ']' ending a C++11 or C2x attribute.
AttrEnd,
/// A '::' '*' forming a C++ pointer-to-member declaration.
MemberPtr,
};
/// Check that a compound operator was written in a "sensible" way, and warn
/// if not.
void checkCompoundToken(SourceLocation FirstTokLoc,
tok::TokenKind FirstTokKind, CompoundToken Op);
public:
//===--------------------------------------------------------------------===//
// Scope manipulation
/// ParseScope - Introduces a new scope for parsing. The kind of
/// scope is determined by ScopeFlags. Objects of this type should
/// be created on the stack to coincide with the position where the
/// parser enters the new scope, and this object's constructor will
/// create that new scope. Similarly, once the object is destroyed
/// the parser will exit the scope.
class ParseScope {
Parser *Self;
ParseScope(const ParseScope &) = delete;
void operator=(const ParseScope &) = delete;
public:
// ParseScope - Construct a new object to manage a scope in the
// parser Self where the new Scope is created with the flags
// ScopeFlags, but only when we aren't about to enter a compound statement.
ParseScope(Parser *Self, unsigned ScopeFlags, bool EnteredScope = true,
bool BeforeCompoundStmt = false)
: Self(Self) {
if (EnteredScope && !BeforeCompoundStmt)
Self->EnterScope(ScopeFlags);
else {
if (BeforeCompoundStmt)
Self->incrementMSManglingNumber();
this->Self = nullptr;
}
}
// Exit - Exit the scope associated with this object now, rather
// than waiting until the object is destroyed.
void Exit() {
if (Self) {
Self->ExitScope();
Self = nullptr;
}
}
~ParseScope() {
Exit();
}
};
/// Introduces zero or more scopes for parsing. The scopes will all be exited
/// when the object is destroyed.
class MultiParseScope {
Parser &Self;
unsigned NumScopes = 0;
MultiParseScope(const MultiParseScope&) = delete;
public:
MultiParseScope(Parser &Self) : Self(Self) {}
void Enter(unsigned ScopeFlags) {
Self.EnterScope(ScopeFlags);
++NumScopes;
}
void Exit() {
while (NumScopes) {
Self.ExitScope();
--NumScopes;
}
}
~MultiParseScope() {
Exit();
}
};
/// EnterScope - Start a new scope.
void EnterScope(unsigned ScopeFlags);
/// ExitScope - Pop a scope off the scope stack.
void ExitScope();
/// Re-enter the template scopes for a declaration that might be a template.
unsigned ReenterTemplateScopes(MultiParseScope &S, Decl *D);
private:
/// RAII object used to modify the scope flags for the current scope.
class ParseScopeFlags {
Scope *CurScope;
unsigned OldFlags;
ParseScopeFlags(const ParseScopeFlags &) = delete;
void operator=(const ParseScopeFlags &) = delete;
public:
ParseScopeFlags(Parser *Self, unsigned ScopeFlags, bool ManageFlags = true);
~ParseScopeFlags();
};
//===--------------------------------------------------------------------===//
// Diagnostic Emission and Error recovery.
public:
DiagnosticBuilder Diag(SourceLocation Loc, unsigned DiagID);
DiagnosticBuilder Diag(const Token &Tok, unsigned DiagID);
DiagnosticBuilder Diag(unsigned DiagID) {
return Diag(Tok, DiagID);
}
private:
void SuggestParentheses(SourceLocation Loc, unsigned DK,
SourceRange ParenRange);
void CheckNestedObjCContexts(SourceLocation AtLoc);
public:
/// Control flags for SkipUntil functions.
enum SkipUntilFlags {
StopAtSemi = 1 << 0, ///< Stop skipping at semicolon
/// Stop skipping at specified token, but don't skip the token itself
StopBeforeMatch = 1 << 1,
StopAtCodeCompletion = 1 << 2 ///< Stop at code completion
};
friend constexpr SkipUntilFlags operator|(SkipUntilFlags L,
SkipUntilFlags R) {
return static_cast<SkipUntilFlags>(static_cast<unsigned>(L) |
static_cast<unsigned>(R));
}
/// SkipUntil - Read tokens until we get to the specified token, then consume
/// it (unless StopBeforeMatch is specified). Because we cannot guarantee
/// that the token will ever occur, this skips to the next token, or to some
/// likely good stopping point. If Flags has StopAtSemi flag, skipping will
/// stop at a ';' character. Balances (), [], and {} delimiter tokens while
/// skipping.
///
/// If SkipUntil finds the specified token, it returns true, otherwise it
/// returns false.
bool SkipUntil(tok::TokenKind T,
SkipUntilFlags Flags = static_cast<SkipUntilFlags>(0)) {
return SkipUntil(llvm::makeArrayRef(T), Flags);
}
bool SkipUntil(tok::TokenKind T1, tok::TokenKind T2,
SkipUntilFlags Flags = static_cast<SkipUntilFlags>(0)) {
tok::TokenKind TokArray[] = {T1, T2};
return SkipUntil(TokArray, Flags);
}
bool SkipUntil(tok::TokenKind T1, tok::TokenKind T2, tok::TokenKind T3,
SkipUntilFlags Flags = static_cast<SkipUntilFlags>(0)) {
tok::TokenKind TokArray[] = {T1, T2, T3};
return SkipUntil(TokArray, Flags);
}
bool SkipUntil(ArrayRef<tok::TokenKind> Toks,
SkipUntilFlags Flags = static_cast<SkipUntilFlags>(0));
/// SkipMalformedDecl - Read tokens until we get to some likely good stopping
/// point for skipping past a simple-declaration.
void SkipMalformedDecl();
/// The location of the first statement inside an else that might
/// have a missleading indentation. If there is no
/// MisleadingIndentationChecker on an else active, this location is invalid.
SourceLocation MisleadingIndentationElseLoc;
private:
//===--------------------------------------------------------------------===//
// Lexing and parsing of C++ inline methods.
struct ParsingClass;
/// [class.mem]p1: "... the class is regarded as complete within
/// - function bodies
/// - default arguments
/// - exception-specifications (TODO: C++0x)
/// - and brace-or-equal-initializers for non-static data members
/// (including such things in nested classes)."
/// LateParsedDeclarations build the tree of those elements so they can
/// be parsed after parsing the top-level class.
class LateParsedDeclaration {
public:
virtual ~LateParsedDeclaration();
virtual void ParseLexedMethodDeclarations();
virtual void ParseLexedMemberInitializers();
virtual void ParseLexedMethodDefs();
virtual void ParseLexedAttributes();
virtual void ParseLexedPragmas();
};
/// Inner node of the LateParsedDeclaration tree that parses
/// all its members recursively.
class LateParsedClass : public LateParsedDeclaration {
public:
LateParsedClass(Parser *P, ParsingClass *C);
~LateParsedClass() override;
void ParseLexedMethodDeclarations() override;
void ParseLexedMemberInitializers() override;
void ParseLexedMethodDefs() override;
void ParseLexedAttributes() override;
void ParseLexedPragmas() override;
private:
Parser *Self;
ParsingClass *Class;
};
/// Contains the lexed tokens of an attribute with arguments that
/// may reference member variables and so need to be parsed at the
/// end of the class declaration after parsing all other member
/// member declarations.
/// FIXME: Perhaps we should change the name of LateParsedDeclaration to
/// LateParsedTokens.
struct LateParsedAttribute : public LateParsedDeclaration {
Parser *Self;
CachedTokens Toks;
IdentifierInfo &AttrName;
IdentifierInfo *MacroII = nullptr;
SourceLocation AttrNameLoc;
SmallVector<Decl*, 2> Decls;
explicit LateParsedAttribute(Parser *P, IdentifierInfo &Name,
SourceLocation Loc)
: Self(P), AttrName(Name), AttrNameLoc(Loc) {}
void ParseLexedAttributes() override;
void addDecl(Decl *D) { Decls.push_back(D); }
};
/// Contains the lexed tokens of a pragma with arguments that
/// may reference member variables and so need to be parsed at the
/// end of the class declaration after parsing all other member
/// member declarations.
class LateParsedPragma : public LateParsedDeclaration {
Parser *Self = nullptr;
AccessSpecifier AS = AS_none;
CachedTokens Toks;
public:
explicit LateParsedPragma(Parser *P, AccessSpecifier AS)
: Self(P), AS(AS) {}
void takeToks(CachedTokens &Cached) { Toks.swap(Cached); }
const CachedTokens &toks() const { return Toks; }
AccessSpecifier getAccessSpecifier() const { return AS; }
void ParseLexedPragmas() override;
};
// A list of late-parsed attributes. Used by ParseGNUAttributes.
class LateParsedAttrList: public SmallVector<LateParsedAttribute *, 2> {
public:
LateParsedAttrList(bool PSoon = false) : ParseSoon(PSoon) { }
bool parseSoon() { return ParseSoon; }
private:
bool ParseSoon; // Are we planning to parse these shortly after creation?
};
/// Contains the lexed tokens of a member function definition
/// which needs to be parsed at the end of the class declaration
/// after parsing all other member declarations.
struct LexedMethod : public LateParsedDeclaration {
Parser *Self;
Decl *D;
CachedTokens Toks;
explicit LexedMethod(Parser *P, Decl *MD) : Self(P), D(MD) {}
void ParseLexedMethodDefs() override;
};
/// LateParsedDefaultArgument - Keeps track of a parameter that may
/// have a default argument that cannot be parsed yet because it
/// occurs within a member function declaration inside the class
/// (C++ [class.mem]p2).
struct LateParsedDefaultArgument {
explicit LateParsedDefaultArgument(Decl *P,
std::unique_ptr<CachedTokens> Toks = nullptr)
: Param(P), Toks(std::move(Toks)) { }
/// Param - The parameter declaration for this parameter.
Decl *Param;
/// Toks - The sequence of tokens that comprises the default
/// argument expression, not including the '=' or the terminating
/// ')' or ','. This will be NULL for parameters that have no
/// default argument.
std::unique_ptr<CachedTokens> Toks;
};
/// LateParsedMethodDeclaration - A method declaration inside a class that
/// contains at least one entity whose parsing needs to be delayed
/// until the class itself is completely-defined, such as a default
/// argument (C++ [class.mem]p2).
struct LateParsedMethodDeclaration : public LateParsedDeclaration {
explicit LateParsedMethodDeclaration(Parser *P, Decl *M)
: Self(P), Method(M), ExceptionSpecTokens(nullptr) {}
void ParseLexedMethodDeclarations() override;
Parser* Self;
/// Method - The method declaration.
Decl *Method;
/// DefaultArgs - Contains the parameters of the function and
/// their default arguments. At least one of the parameters will
/// have a default argument, but all of the parameters of the
/// method will be stored so that they can be reintroduced into
/// scope at the appropriate times.
SmallVector<LateParsedDefaultArgument, 8> DefaultArgs;
/// The set of tokens that make up an exception-specification that
/// has not yet been parsed.
CachedTokens *ExceptionSpecTokens;
};
/// LateParsedMemberInitializer - An initializer for a non-static class data
/// member whose parsing must to be delayed until the class is completely
/// defined (C++11 [class.mem]p2).
struct LateParsedMemberInitializer : public LateParsedDeclaration {
LateParsedMemberInitializer(Parser *P, Decl *FD)
: Self(P), Field(FD) { }
void ParseLexedMemberInitializers() override;
Parser *Self;
/// Field - The field declaration.
Decl *Field;
/// CachedTokens - The sequence of tokens that comprises the initializer,
/// including any leading '='.
CachedTokens Toks;
};
/// LateParsedDeclarationsContainer - During parsing of a top (non-nested)
/// C++ class, its method declarations that contain parts that won't be
/// parsed until after the definition is completed (C++ [class.mem]p2),
/// the method declarations and possibly attached inline definitions
/// will be stored here with the tokens that will be parsed to create those
/// entities.
typedef SmallVector<LateParsedDeclaration*,2> LateParsedDeclarationsContainer;
/// Representation of a class that has been parsed, including
/// any member function declarations or definitions that need to be
/// parsed after the corresponding top-level class is complete.
struct ParsingClass {
ParsingClass(Decl *TagOrTemplate, bool TopLevelClass, bool IsInterface)
: TopLevelClass(TopLevelClass), IsInterface(IsInterface),
TagOrTemplate(TagOrTemplate) {}
/// Whether this is a "top-level" class, meaning that it is
/// not nested within another class.
bool TopLevelClass : 1;
/// Whether this class is an __interface.
bool IsInterface : 1;
/// The class or class template whose definition we are parsing.
Decl *TagOrTemplate;
/// LateParsedDeclarations - Method declarations, inline definitions and
/// nested classes that contain pieces whose parsing will be delayed until
/// the top-level class is fully defined.
LateParsedDeclarationsContainer LateParsedDeclarations;
};
/// The stack of classes that is currently being
/// parsed. Nested and local classes will be pushed onto this stack
/// when they are parsed, and removed afterward.
std::stack<ParsingClass *> ClassStack;
ParsingClass &getCurrentClass() {
assert(!ClassStack.empty() && "No lexed method stacks!");
return *ClassStack.top();
}
/// RAII object used to manage the parsing of a class definition.
class ParsingClassDefinition {
Parser &P;
bool Popped;
Sema::ParsingClassState State;
public:
ParsingClassDefinition(Parser &P, Decl *TagOrTemplate, bool TopLevelClass,
bool IsInterface)
: P(P), Popped(false),
State(P.PushParsingClass(TagOrTemplate, TopLevelClass, IsInterface)) {
}
/// Pop this class of the stack.
void Pop() {
assert(!Popped && "Nested class has already been popped");
Popped = true;
P.PopParsingClass(State);
}
~ParsingClassDefinition() {
if (!Popped)
P.PopParsingClass(State);
}
};
/// Contains information about any template-specific
/// information that has been parsed prior to parsing declaration
/// specifiers.
struct ParsedTemplateInfo {
ParsedTemplateInfo()
: Kind(NonTemplate), TemplateParams(nullptr), TemplateLoc() { }
ParsedTemplateInfo(TemplateParameterLists *TemplateParams,
bool isSpecialization,
bool lastParameterListWasEmpty = false)
: Kind(isSpecialization? ExplicitSpecialization : Template),
TemplateParams(TemplateParams),
LastParameterListWasEmpty(lastParameterListWasEmpty) { }
explicit ParsedTemplateInfo(SourceLocation ExternLoc,
SourceLocation TemplateLoc)
: Kind(ExplicitInstantiation), TemplateParams(nullptr),
ExternLoc(ExternLoc), TemplateLoc(TemplateLoc),
LastParameterListWasEmpty(false){ }
/// The kind of template we are parsing.
enum {
/// We are not parsing a template at all.
NonTemplate = 0,
/// We are parsing a template declaration.
Template,
/// We are parsing an explicit specialization.
ExplicitSpecialization,
/// We are parsing an explicit instantiation.
ExplicitInstantiation
} Kind;
/// The template parameter lists, for template declarations
/// and explicit specializations.
TemplateParameterLists *TemplateParams;
/// The location of the 'extern' keyword, if any, for an explicit
/// instantiation
SourceLocation ExternLoc;
/// The location of the 'template' keyword, for an explicit
/// instantiation.
SourceLocation TemplateLoc;
/// Whether the last template parameter list was empty.
bool LastParameterListWasEmpty;
SourceRange getSourceRange() const LLVM_READONLY;
};
// In ParseCXXInlineMethods.cpp.
struct ReenterTemplateScopeRAII;
struct ReenterClassScopeRAII;
void LexTemplateFunctionForLateParsing(CachedTokens &Toks);
void ParseLateTemplatedFuncDef(LateParsedTemplate &LPT);
static void LateTemplateParserCallback(void *P, LateParsedTemplate &LPT);
Sema::ParsingClassState
PushParsingClass(Decl *TagOrTemplate, bool TopLevelClass, bool IsInterface);
void DeallocateParsedClasses(ParsingClass *Class);
void PopParsingClass(Sema::ParsingClassState);
enum CachedInitKind {
CIK_DefaultArgument,
CIK_DefaultInitializer
};
NamedDecl *ParseCXXInlineMethodDef(AccessSpecifier AS,
ParsedAttributes &AccessAttrs,
ParsingDeclarator &D,
const ParsedTemplateInfo &TemplateInfo,
const VirtSpecifiers &VS,
SourceLocation PureSpecLoc);
void ParseCXXNonStaticMemberInitializer(Decl *VarD);
void ParseLexedAttributes(ParsingClass &Class);
void ParseLexedAttributeList(LateParsedAttrList &LAs, Decl *D,
bool EnterScope, bool OnDefinition);
void ParseLexedAttribute(LateParsedAttribute &LA,
bool EnterScope, bool OnDefinition);
void ParseLexedMethodDeclarations(ParsingClass &Class);
void ParseLexedMethodDeclaration(LateParsedMethodDeclaration &LM);
void ParseLexedMethodDefs(ParsingClass &Class);
void ParseLexedMethodDef(LexedMethod &LM);
void ParseLexedMemberInitializers(ParsingClass &Class);
void ParseLexedMemberInitializer(LateParsedMemberInitializer &MI);
void ParseLexedObjCMethodDefs(LexedMethod &LM, bool parseMethod);
void ParseLexedPragmas(ParsingClass &Class);
void ParseLexedPragma(LateParsedPragma &LP);
bool ConsumeAndStoreFunctionPrologue(CachedTokens &Toks);
bool ConsumeAndStoreInitializer(CachedTokens &Toks, CachedInitKind CIK);
bool ConsumeAndStoreConditional(CachedTokens &Toks);
bool ConsumeAndStoreUntil(tok::TokenKind T1,
CachedTokens &Toks,
bool StopAtSemi = true,
bool ConsumeFinalToken = true) {
return ConsumeAndStoreUntil(T1, T1, Toks, StopAtSemi, ConsumeFinalToken);
}
bool ConsumeAndStoreUntil(tok::TokenKind T1, tok::TokenKind T2,
CachedTokens &Toks,
bool StopAtSemi = true,
bool ConsumeFinalToken = true);
//===--------------------------------------------------------------------===//
// C99 6.9: External Definitions.
struct ParsedAttributesWithRange : ParsedAttributes {
ParsedAttributesWithRange(AttributeFactory &factory)
: ParsedAttributes(factory) {}
void clear() {
ParsedAttributes::clear();
Range = SourceRange();
}
SourceRange Range;
};
struct ParsedAttributesViewWithRange : ParsedAttributesView {
ParsedAttributesViewWithRange() : ParsedAttributesView() {}
void clearListOnly() {
ParsedAttributesView::clearListOnly();
Range = SourceRange();
}
SourceRange Range;
};
DeclGroupPtrTy ParseExternalDeclaration(ParsedAttributesWithRange &attrs,
ParsingDeclSpec *DS = nullptr);
bool isDeclarationAfterDeclarator();
bool isStartOfFunctionDefinition(const ParsingDeclarator &Declarator);
DeclGroupPtrTy ParseDeclarationOrFunctionDefinition(
ParsedAttributesWithRange &attrs,
ParsingDeclSpec *DS = nullptr,
AccessSpecifier AS = AS_none);
DeclGroupPtrTy ParseDeclOrFunctionDefInternal(ParsedAttributesWithRange &attrs,
ParsingDeclSpec &DS,
AccessSpecifier AS);
void SkipFunctionBody();
Decl *ParseFunctionDefinition(ParsingDeclarator &D,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo(),
LateParsedAttrList *LateParsedAttrs = nullptr);
void ParseKNRParamDeclarations(Declarator &D);
// EndLoc is filled with the location of the last token of the simple-asm.
ExprResult ParseSimpleAsm(bool ForAsmLabel, SourceLocation *EndLoc);
ExprResult ParseAsmStringLiteral(bool ForAsmLabel);
// Objective-C External Declarations
void MaybeSkipAttributes(tok::ObjCKeywordKind Kind);
DeclGroupPtrTy ParseObjCAtDirectives(ParsedAttributesWithRange &Attrs);
DeclGroupPtrTy ParseObjCAtClassDeclaration(SourceLocation atLoc);
Decl *ParseObjCAtInterfaceDeclaration(SourceLocation AtLoc,
ParsedAttributes &prefixAttrs);
class ObjCTypeParamListScope;
ObjCTypeParamList *parseObjCTypeParamList();
ObjCTypeParamList *parseObjCTypeParamListOrProtocolRefs(
ObjCTypeParamListScope &Scope, SourceLocation &lAngleLoc,
SmallVectorImpl<IdentifierLocPair> &protocolIdents,
SourceLocation &rAngleLoc, bool mayBeProtocolList = true);
void HelperActionsForIvarDeclarations(Decl *interfaceDecl, SourceLocation atLoc,
BalancedDelimiterTracker &T,
SmallVectorImpl<Decl *> &AllIvarDecls,
bool RBraceMissing);
void ParseObjCClassInstanceVariables(Decl *interfaceDecl,
tok::ObjCKeywordKind visibility,
SourceLocation atLoc);
bool ParseObjCProtocolReferences(SmallVectorImpl<Decl *> &P,
SmallVectorImpl<SourceLocation> &PLocs,
bool WarnOnDeclarations,
bool ForObjCContainer,
SourceLocation &LAngleLoc,
SourceLocation &EndProtoLoc,
bool consumeLastToken);
/// Parse the first angle-bracket-delimited clause for an
/// Objective-C object or object pointer type, which may be either
/// type arguments or protocol qualifiers.
void parseObjCTypeArgsOrProtocolQualifiers(
ParsedType baseType,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SmallVectorImpl<SourceLocation> &protocolLocs,
SourceLocation &protocolRAngleLoc,
bool consumeLastToken,
bool warnOnIncompleteProtocols);
/// Parse either Objective-C type arguments or protocol qualifiers; if the
/// former, also parse protocol qualifiers afterward.
void parseObjCTypeArgsAndProtocolQualifiers(
ParsedType baseType,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SmallVectorImpl<SourceLocation> &protocolLocs,
SourceLocation &protocolRAngleLoc,
bool consumeLastToken);
/// Parse a protocol qualifier type such as '<NSCopying>', which is
/// an anachronistic way of writing 'id<NSCopying>'.
TypeResult parseObjCProtocolQualifierType(SourceLocation &rAngleLoc);
/// Parse Objective-C type arguments and protocol qualifiers, extending the
/// current type with the parsed result.
TypeResult parseObjCTypeArgsAndProtocolQualifiers(SourceLocation loc,
ParsedType type,
bool consumeLastToken,
SourceLocation &endLoc);
void ParseObjCInterfaceDeclList(tok::ObjCKeywordKind contextKey,
Decl *CDecl);
DeclGroupPtrTy ParseObjCAtProtocolDeclaration(SourceLocation atLoc,
ParsedAttributes &prefixAttrs);
struct ObjCImplParsingDataRAII {
Parser &P;
Decl *Dcl;
bool HasCFunction;
typedef SmallVector<LexedMethod*, 8> LateParsedObjCMethodContainer;
LateParsedObjCMethodContainer LateParsedObjCMethods;
ObjCImplParsingDataRAII(Parser &parser, Decl *D)
: P(parser), Dcl(D), HasCFunction(false) {
P.CurParsedObjCImpl = this;
Finished = false;
}
~ObjCImplParsingDataRAII();
void finish(SourceRange AtEnd);
bool isFinished() const { return Finished; }
private:
bool Finished;
};
ObjCImplParsingDataRAII *CurParsedObjCImpl;
void StashAwayMethodOrFunctionBodyTokens(Decl *MDecl);
DeclGroupPtrTy ParseObjCAtImplementationDeclaration(SourceLocation AtLoc,
ParsedAttributes &Attrs);
DeclGroupPtrTy ParseObjCAtEndDeclaration(SourceRange atEnd);
Decl *ParseObjCAtAliasDeclaration(SourceLocation atLoc);
Decl *ParseObjCPropertySynthesize(SourceLocation atLoc);
Decl *ParseObjCPropertyDynamic(SourceLocation atLoc);
IdentifierInfo *ParseObjCSelectorPiece(SourceLocation &MethodLocation);
// Definitions for Objective-c context sensitive keywords recognition.
enum ObjCTypeQual {
objc_in=0, objc_out, objc_inout, objc_oneway, objc_bycopy, objc_byref,
objc_nonnull, objc_nullable, objc_null_unspecified,
objc_NumQuals
};
IdentifierInfo *ObjCTypeQuals[objc_NumQuals];
bool isTokIdentifier_in() const;
ParsedType ParseObjCTypeName(ObjCDeclSpec &DS, DeclaratorContext Ctx,
ParsedAttributes *ParamAttrs);
void ParseObjCMethodRequirement();
Decl *ParseObjCMethodPrototype(
tok::ObjCKeywordKind MethodImplKind = tok::objc_not_keyword,
bool MethodDefinition = true);
Decl *ParseObjCMethodDecl(SourceLocation mLoc, tok::TokenKind mType,
tok::ObjCKeywordKind MethodImplKind = tok::objc_not_keyword,
bool MethodDefinition=true);
void ParseObjCPropertyAttribute(ObjCDeclSpec &DS);
Decl *ParseObjCMethodDefinition();
public:
//===--------------------------------------------------------------------===//
// C99 6.5: Expressions.
/// TypeCastState - State whether an expression is or may be a type cast.
enum TypeCastState {
NotTypeCast = 0,
MaybeTypeCast,
IsTypeCast
};
ExprResult ParseExpression(TypeCastState isTypeCast = NotTypeCast);
ExprResult ParseConstantExpressionInExprEvalContext(
TypeCastState isTypeCast = NotTypeCast);
ExprResult ParseConstantExpression(TypeCastState isTypeCast = NotTypeCast);
ExprResult ParseCaseExpression(SourceLocation CaseLoc);
ExprResult ParseConstraintExpression();
ExprResult
ParseConstraintLogicalAndExpression(bool IsTrailingRequiresClause);
ExprResult ParseConstraintLogicalOrExpression(bool IsTrailingRequiresClause);
// Expr that doesn't include commas.
ExprResult ParseAssignmentExpression(TypeCastState isTypeCast = NotTypeCast);
ExprResult ParseMSAsmIdentifier(llvm::SmallVectorImpl<Token> &LineToks,
unsigned &NumLineToksConsumed,
bool IsUnevaluated);
ExprResult ParseStringLiteralExpression(bool AllowUserDefinedLiteral = false);
private:
ExprResult ParseExpressionWithLeadingAt(SourceLocation AtLoc);
ExprResult ParseExpressionWithLeadingExtension(SourceLocation ExtLoc);
ExprResult ParseRHSOfBinaryExpression(ExprResult LHS,
prec::Level MinPrec);
/// Control what ParseCastExpression will parse.
enum CastParseKind {
AnyCastExpr = 0,
UnaryExprOnly,
PrimaryExprOnly
};
ExprResult ParseCastExpression(CastParseKind ParseKind,
bool isAddressOfOperand,
bool &NotCastExpr,
TypeCastState isTypeCast,
bool isVectorLiteral = false,
bool *NotPrimaryExpression = nullptr);
ExprResult ParseCastExpression(CastParseKind ParseKind,
bool isAddressOfOperand = false,
TypeCastState isTypeCast = NotTypeCast,
bool isVectorLiteral = false,
bool *NotPrimaryExpression = nullptr);
/// Returns true if the next token cannot start an expression.
bool isNotExpressionStart();
/// Returns true if the next token would start a postfix-expression
/// suffix.
bool isPostfixExpressionSuffixStart() {
tok::TokenKind K = Tok.getKind();
return (K == tok::l_square || K == tok::l_paren ||
K == tok::period || K == tok::arrow ||
K == tok::plusplus || K == tok::minusminus);
}
bool diagnoseUnknownTemplateId(ExprResult TemplateName, SourceLocation Less);
void checkPotentialAngleBracket(ExprResult &PotentialTemplateName);
bool checkPotentialAngleBracketDelimiter(const AngleBracketTracker::Loc &,
const Token &OpToken);
bool checkPotentialAngleBracketDelimiter(const Token &OpToken) {
if (auto *Info = AngleBrackets.getCurrent(*this))
return checkPotentialAngleBracketDelimiter(*Info, OpToken);
return false;
}
ExprResult ParsePostfixExpressionSuffix(ExprResult LHS);
ExprResult ParseUnaryExprOrTypeTraitExpression();
ExprResult ParseBuiltinPrimaryExpression();
ExprResult ParseUniqueStableNameExpression();
ExprResult ParseExprAfterUnaryExprOrTypeTrait(const Token &OpTok,
bool &isCastExpr,
ParsedType &CastTy,
SourceRange &CastRange);
typedef SmallVector<Expr*, 20> ExprListTy;
typedef SmallVector<SourceLocation, 20> CommaLocsTy;
/// ParseExpressionList - Used for C/C++ (argument-)expression-list.
bool ParseExpressionList(SmallVectorImpl<Expr *> &Exprs,
SmallVectorImpl<SourceLocation> &CommaLocs,
llvm::function_ref<void()> ExpressionStarts =
llvm::function_ref<void()>());
/// ParseSimpleExpressionList - A simple comma-separated list of expressions,
/// used for misc language extensions.
bool ParseSimpleExpressionList(SmallVectorImpl<Expr*> &Exprs,
SmallVectorImpl<SourceLocation> &CommaLocs);
/// ParenParseOption - Control what ParseParenExpression will parse.
enum ParenParseOption {
SimpleExpr, // Only parse '(' expression ')'
FoldExpr, // Also allow fold-expression <anything>
CompoundStmt, // Also allow '(' compound-statement ')'
CompoundLiteral, // Also allow '(' type-name ')' '{' ... '}'
CastExpr // Also allow '(' type-name ')' <anything>
};
ExprResult ParseParenExpression(ParenParseOption &ExprType,
bool stopIfCastExpr,
bool isTypeCast,
ParsedType &CastTy,
SourceLocation &RParenLoc);
ExprResult ParseCXXAmbiguousParenExpression(
ParenParseOption &ExprType, ParsedType &CastTy,
BalancedDelimiterTracker &Tracker, ColonProtectionRAIIObject &ColonProt);
ExprResult ParseCompoundLiteralExpression(ParsedType Ty,
SourceLocation LParenLoc,
SourceLocation RParenLoc);
ExprResult ParseGenericSelectionExpression();
ExprResult ParseObjCBoolLiteral();
ExprResult ParseFoldExpression(ExprResult LHS, BalancedDelimiterTracker &T);
//===--------------------------------------------------------------------===//
// C++ Expressions
ExprResult tryParseCXXIdExpression(CXXScopeSpec &SS, bool isAddressOfOperand,
Token &Replacement);
ExprResult ParseCXXIdExpression(bool isAddressOfOperand = false);
bool areTokensAdjacent(const Token &A, const Token &B);
void CheckForTemplateAndDigraph(Token &Next, ParsedType ObjectTypePtr,
bool EnteringContext, IdentifierInfo &II,
CXXScopeSpec &SS);
bool ParseOptionalCXXScopeSpecifier(CXXScopeSpec &SS,
ParsedType ObjectType,
bool ObjectHasErrors,
bool EnteringContext,
bool *MayBePseudoDestructor = nullptr,
bool IsTypename = false,
IdentifierInfo **LastII = nullptr,
bool OnlyNamespace = false,
bool InUsingDeclaration = false);
//===--------------------------------------------------------------------===//
// C++11 5.1.2: Lambda expressions
/// Result of tentatively parsing a lambda-introducer.
enum class LambdaIntroducerTentativeParse {
/// This appears to be a lambda-introducer, which has been fully parsed.
Success,
/// This is a lambda-introducer, but has not been fully parsed, and this
/// function needs to be called again to parse it.
Incomplete,
/// This is definitely an Objective-C message send expression, rather than
/// a lambda-introducer, attribute-specifier, or array designator.
MessageSend,
/// This is not a lambda-introducer.
Invalid,
};
// [...] () -> type {...}
ExprResult ParseLambdaExpression();
ExprResult TryParseLambdaExpression();
bool
ParseLambdaIntroducer(LambdaIntroducer &Intro,
LambdaIntroducerTentativeParse *Tentative = nullptr);
ExprResult ParseLambdaExpressionAfterIntroducer(LambdaIntroducer &Intro);
//===--------------------------------------------------------------------===//
// C++ 5.2p1: C++ Casts
ExprResult ParseCXXCasts();
/// Parse a __builtin_bit_cast(T, E), used to implement C++2a std::bit_cast.
ExprResult ParseBuiltinBitCast();
//===--------------------------------------------------------------------===//
// C++ 5.2p1: C++ Type Identification
ExprResult ParseCXXTypeid();
//===--------------------------------------------------------------------===//
// C++ : Microsoft __uuidof Expression
ExprResult ParseCXXUuidof();
//===--------------------------------------------------------------------===//
// C++ 5.2.4: C++ Pseudo-Destructor Expressions
ExprResult ParseCXXPseudoDestructor(Expr *Base, SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
ParsedType ObjectType);
//===--------------------------------------------------------------------===//
// C++ 9.3.2: C++ 'this' pointer
ExprResult ParseCXXThis();
//===--------------------------------------------------------------------===//
// C++ 15: C++ Throw Expression
ExprResult ParseThrowExpression();
ExceptionSpecificationType tryParseExceptionSpecification(
bool Delayed,
SourceRange &SpecificationRange,
SmallVectorImpl<ParsedType> &DynamicExceptions,
SmallVectorImpl<SourceRange> &DynamicExceptionRanges,
ExprResult &NoexceptExpr,
CachedTokens *&ExceptionSpecTokens);
// EndLoc is filled with the location of the last token of the specification.
ExceptionSpecificationType ParseDynamicExceptionSpecification(
SourceRange &SpecificationRange,
SmallVectorImpl<ParsedType> &Exceptions,
SmallVectorImpl<SourceRange> &Ranges);
//===--------------------------------------------------------------------===//
// C++0x 8: Function declaration trailing-return-type
TypeResult ParseTrailingReturnType(SourceRange &Range,
bool MayBeFollowedByDirectInit);
//===--------------------------------------------------------------------===//
// C++ 2.13.5: C++ Boolean Literals
ExprResult ParseCXXBoolLiteral();
//===--------------------------------------------------------------------===//
// C++ 5.2.3: Explicit type conversion (functional notation)
ExprResult ParseCXXTypeConstructExpression(const DeclSpec &DS);
/// ParseCXXSimpleTypeSpecifier - [C++ 7.1.5.2] Simple type specifiers.
/// This should only be called when the current token is known to be part of
/// simple-type-specifier.
void ParseCXXSimpleTypeSpecifier(DeclSpec &DS);
bool ParseCXXTypeSpecifierSeq(DeclSpec &DS);
//===--------------------------------------------------------------------===//
// C++ 5.3.4 and 5.3.5: C++ new and delete
bool ParseExpressionListOrTypeId(SmallVectorImpl<Expr*> &Exprs,
Declarator &D);
void ParseDirectNewDeclarator(Declarator &D);
ExprResult ParseCXXNewExpression(bool UseGlobal, SourceLocation Start);
ExprResult ParseCXXDeleteExpression(bool UseGlobal,
SourceLocation Start);
//===--------------------------------------------------------------------===//
// C++ if/switch/while/for condition expression.
struct ForRangeInfo;
Sema::ConditionResult ParseCXXCondition(StmtResult *InitStmt,
SourceLocation Loc,
Sema::ConditionKind CK,
ForRangeInfo *FRI = nullptr);
//===--------------------------------------------------------------------===//
// C++ Coroutines
ExprResult ParseCoyieldExpression();
//===--------------------------------------------------------------------===//
// C++ Concepts
ExprResult ParseRequiresExpression();
void ParseTrailingRequiresClause(Declarator &D);
//===--------------------------------------------------------------------===//
// C99 6.7.8: Initialization.
/// ParseInitializer
/// initializer: [C99 6.7.8]
/// assignment-expression
/// '{' ...
ExprResult ParseInitializer() {
if (Tok.isNot(tok::l_brace))
return ParseAssignmentExpression();
return ParseBraceInitializer();
}
bool MayBeDesignationStart();
ExprResult ParseBraceInitializer();
ExprResult ParseInitializerWithPotentialDesignator(
llvm::function_ref<void(const Designation &)> CodeCompleteCB);
//===--------------------------------------------------------------------===//
// clang Expressions
ExprResult ParseBlockLiteralExpression(); // ^{...}
//===--------------------------------------------------------------------===//
// Objective-C Expressions
ExprResult ParseObjCAtExpression(SourceLocation AtLocation);
ExprResult ParseObjCStringLiteral(SourceLocation AtLoc);
ExprResult ParseObjCCharacterLiteral(SourceLocation AtLoc);
ExprResult ParseObjCNumericLiteral(SourceLocation AtLoc);
ExprResult ParseObjCBooleanLiteral(SourceLocation AtLoc, bool ArgValue);
ExprResult ParseObjCArrayLiteral(SourceLocation AtLoc);
ExprResult ParseObjCDictionaryLiteral(SourceLocation AtLoc);
ExprResult ParseObjCBoxedExpr(SourceLocation AtLoc);
ExprResult ParseObjCEncodeExpression(SourceLocation AtLoc);
ExprResult ParseObjCSelectorExpression(SourceLocation AtLoc);
ExprResult ParseObjCProtocolExpression(SourceLocation AtLoc);
bool isSimpleObjCMessageExpression();
ExprResult ParseObjCMessageExpression();
ExprResult ParseObjCMessageExpressionBody(SourceLocation LBracloc,
SourceLocation SuperLoc,
ParsedType ReceiverType,
Expr *ReceiverExpr);
ExprResult ParseAssignmentExprWithObjCMessageExprStart(
SourceLocation LBracloc, SourceLocation SuperLoc,
ParsedType ReceiverType, Expr *ReceiverExpr);
bool ParseObjCXXMessageReceiver(bool &IsExpr, void *&TypeOrExpr);
//===--------------------------------------------------------------------===//
// C99 6.8: Statements and Blocks.
/// A SmallVector of statements, with stack size 32 (as that is the only one
/// used.)
typedef SmallVector<Stmt*, 32> StmtVector;
/// A SmallVector of expressions, with stack size 12 (the maximum used.)
typedef SmallVector<Expr*, 12> ExprVector;
/// A SmallVector of types.
typedef SmallVector<ParsedType, 12> TypeVector;
StmtResult
ParseStatement(SourceLocation *TrailingElseLoc = nullptr,
ParsedStmtContext StmtCtx = ParsedStmtContext::SubStmt);
StmtResult ParseStatementOrDeclaration(
StmtVector &Stmts, ParsedStmtContext StmtCtx,
SourceLocation *TrailingElseLoc = nullptr);
StmtResult ParseStatementOrDeclarationAfterAttributes(
StmtVector &Stmts,
ParsedStmtContext StmtCtx,
SourceLocation *TrailingElseLoc,
ParsedAttributesWithRange &Attrs);
StmtResult ParseExprStatement(ParsedStmtContext StmtCtx);
StmtResult ParseLabeledStatement(ParsedAttributesWithRange &attrs,
ParsedStmtContext StmtCtx);
StmtResult ParseCaseStatement(ParsedStmtContext StmtCtx,
bool MissingCase = false,
ExprResult Expr = ExprResult());
StmtResult ParseDefaultStatement(ParsedStmtContext StmtCtx);
StmtResult ParseCompoundStatement(bool isStmtExpr = false);
StmtResult ParseCompoundStatement(bool isStmtExpr,
unsigned ScopeFlags);
void ParseCompoundStatementLeadingPragmas();
bool ConsumeNullStmt(StmtVector &Stmts);
StmtResult ParseCompoundStatementBody(bool isStmtExpr = false);
bool ParseParenExprOrCondition(StmtResult *InitStmt,
Sema::ConditionResult &CondResult,
SourceLocation Loc, Sema::ConditionKind CK,
SourceLocation *LParenLoc = nullptr,
SourceLocation *RParenLoc = nullptr);
StmtResult ParseIfStatement(SourceLocation *TrailingElseLoc);
StmtResult ParseSwitchStatement(SourceLocation *TrailingElseLoc);
StmtResult ParseWhileStatement(SourceLocation *TrailingElseLoc);
StmtResult ParseDoStatement();
StmtResult ParseForStatement(SourceLocation *TrailingElseLoc);
StmtResult ParseGotoStatement();
StmtResult ParseContinueStatement();
StmtResult ParseBreakStatement();
StmtResult ParseReturnStatement();
StmtResult ParseAsmStatement(bool &msAsm);
StmtResult ParseMicrosoftAsmStatement(SourceLocation AsmLoc);
StmtResult ParsePragmaLoopHint(StmtVector &Stmts,
ParsedStmtContext StmtCtx,
SourceLocation *TrailingElseLoc,
ParsedAttributesWithRange &Attrs);
/// Describes the behavior that should be taken for an __if_exists
/// block.
enum IfExistsBehavior {
/// Parse the block; this code is always used.
IEB_Parse,
/// Skip the block entirely; this code is never used.
IEB_Skip,
/// Parse the block as a dependent block, which may be used in
/// some template instantiations but not others.
IEB_Dependent
};
/// Describes the condition of a Microsoft __if_exists or
/// __if_not_exists block.
struct IfExistsCondition {
/// The location of the initial keyword.
SourceLocation KeywordLoc;
/// Whether this is an __if_exists block (rather than an
/// __if_not_exists block).
bool IsIfExists;
/// Nested-name-specifier preceding the name.
CXXScopeSpec SS;
/// The name we're looking for.
UnqualifiedId Name;
/// The behavior of this __if_exists or __if_not_exists block
/// should.
IfExistsBehavior Behavior;
};
bool ParseMicrosoftIfExistsCondition(IfExistsCondition& Result);
void ParseMicrosoftIfExistsStatement(StmtVector &Stmts);
void ParseMicrosoftIfExistsExternalDeclaration();
void ParseMicrosoftIfExistsClassDeclaration(DeclSpec::TST TagType,
ParsedAttributes &AccessAttrs,
AccessSpecifier &CurAS);
bool ParseMicrosoftIfExistsBraceInitializer(ExprVector &InitExprs,
bool &InitExprsOk);
bool ParseAsmOperandsOpt(SmallVectorImpl<IdentifierInfo *> &Names,
SmallVectorImpl<Expr *> &Constraints,
SmallVectorImpl<Expr *> &Exprs);
//===--------------------------------------------------------------------===//
// C++ 6: Statements and Blocks
StmtResult ParseCXXTryBlock();
StmtResult ParseCXXTryBlockCommon(SourceLocation TryLoc, bool FnTry = false);
StmtResult ParseCXXCatchBlock(bool FnCatch = false);
//===--------------------------------------------------------------------===//
// MS: SEH Statements and Blocks
StmtResult ParseSEHTryBlock();
StmtResult ParseSEHExceptBlock(SourceLocation Loc);
StmtResult ParseSEHFinallyBlock(SourceLocation Loc);
StmtResult ParseSEHLeaveStatement();
//===--------------------------------------------------------------------===//
// Objective-C Statements
StmtResult ParseObjCAtStatement(SourceLocation atLoc,
ParsedStmtContext StmtCtx);
StmtResult ParseObjCTryStmt(SourceLocation atLoc);
StmtResult ParseObjCThrowStmt(SourceLocation atLoc);
StmtResult ParseObjCSynchronizedStmt(SourceLocation atLoc);
StmtResult ParseObjCAutoreleasePoolStmt(SourceLocation atLoc);
//===--------------------------------------------------------------------===//
// C99 6.7: Declarations.
/// A context for parsing declaration specifiers. TODO: flesh this
/// out, there are other significant restrictions on specifiers than
/// would be best implemented in the parser.
enum class DeclSpecContext {
DSC_normal, // normal context
DSC_class, // class context, enables 'friend'
DSC_type_specifier, // C++ type-specifier-seq or C specifier-qualifier-list
DSC_trailing, // C++11 trailing-type-specifier in a trailing return type
DSC_alias_declaration, // C++11 type-specifier-seq in an alias-declaration
DSC_top_level, // top-level/namespace declaration context
DSC_template_param, // template parameter context
DSC_template_type_arg, // template type argument context
DSC_objc_method_result, // ObjC method result context, enables 'instancetype'
DSC_condition // condition declaration context
};
/// Is this a context in which we are parsing just a type-specifier (or
/// trailing-type-specifier)?
static bool isTypeSpecifier(DeclSpecContext DSC) {
switch (DSC) {
case DeclSpecContext::DSC_normal:
case DeclSpecContext::DSC_template_param:
case DeclSpecContext::DSC_class:
case DeclSpecContext::DSC_top_level:
case DeclSpecContext::DSC_objc_method_result:
case DeclSpecContext::DSC_condition:
return false;
case DeclSpecContext::DSC_template_type_arg:
case DeclSpecContext::DSC_type_specifier:
case DeclSpecContext::DSC_trailing:
case DeclSpecContext::DSC_alias_declaration:
return true;
}
llvm_unreachable("Missing DeclSpecContext case");
}
/// Whether a defining-type-specifier is permitted in a given context.
enum class AllowDefiningTypeSpec {
/// The grammar doesn't allow a defining-type-specifier here, and we must
/// not parse one (eg, because a '{' could mean something else).
No,
/// The grammar doesn't allow a defining-type-specifier here, but we permit
/// one for error recovery purposes. Sema will reject.
NoButErrorRecovery,
/// The grammar allows a defining-type-specifier here, even though it's
/// always invalid. Sema will reject.
YesButInvalid,
/// The grammar allows a defining-type-specifier here, and one can be valid.
Yes
};
/// Is this a context in which we are parsing defining-type-specifiers (and
/// so permit class and enum definitions in addition to non-defining class and
/// enum elaborated-type-specifiers)?
static AllowDefiningTypeSpec
isDefiningTypeSpecifierContext(DeclSpecContext DSC) {
switch (DSC) {
case DeclSpecContext::DSC_normal:
case DeclSpecContext::DSC_class:
case DeclSpecContext::DSC_top_level:
case DeclSpecContext::DSC_alias_declaration:
case DeclSpecContext::DSC_objc_method_result:
return AllowDefiningTypeSpec::Yes;
case DeclSpecContext::DSC_condition:
case DeclSpecContext::DSC_template_param:
return AllowDefiningTypeSpec::YesButInvalid;
case DeclSpecContext::DSC_template_type_arg:
case DeclSpecContext::DSC_type_specifier:
return AllowDefiningTypeSpec::NoButErrorRecovery;
case DeclSpecContext::DSC_trailing:
return AllowDefiningTypeSpec::No;
}
llvm_unreachable("Missing DeclSpecContext case");
}
/// Is this a context in which an opaque-enum-declaration can appear?
static bool isOpaqueEnumDeclarationContext(DeclSpecContext DSC) {
switch (DSC) {
case DeclSpecContext::DSC_normal:
case DeclSpecContext::DSC_class:
case DeclSpecContext::DSC_top_level:
return true;
case DeclSpecContext::DSC_alias_declaration:
case DeclSpecContext::DSC_objc_method_result:
case DeclSpecContext::DSC_condition:
case DeclSpecContext::DSC_template_param:
case DeclSpecContext::DSC_template_type_arg:
case DeclSpecContext::DSC_type_specifier:
case DeclSpecContext::DSC_trailing:
return false;
}
llvm_unreachable("Missing DeclSpecContext case");
}
/// Is this a context in which we can perform class template argument
/// deduction?
static bool isClassTemplateDeductionContext(DeclSpecContext DSC) {
switch (DSC) {
case DeclSpecContext::DSC_normal:
case DeclSpecContext::DSC_template_param:
case DeclSpecContext::DSC_class:
case DeclSpecContext::DSC_top_level:
case DeclSpecContext::DSC_condition:
case DeclSpecContext::DSC_type_specifier:
return true;
case DeclSpecContext::DSC_objc_method_result:
case DeclSpecContext::DSC_template_type_arg:
case DeclSpecContext::DSC_trailing:
case DeclSpecContext::DSC_alias_declaration:
return false;
}
llvm_unreachable("Missing DeclSpecContext case");
}
/// Information on a C++0x for-range-initializer found while parsing a
/// declaration which turns out to be a for-range-declaration.
struct ForRangeInit {
SourceLocation ColonLoc;
ExprResult RangeExpr;
bool ParsedForRangeDecl() { return !ColonLoc.isInvalid(); }
};
struct ForRangeInfo : ForRangeInit {
StmtResult LoopVar;
};
DeclGroupPtrTy ParseDeclaration(DeclaratorContext Context,
SourceLocation &DeclEnd,
ParsedAttributesWithRange &attrs,
SourceLocation *DeclSpecStart = nullptr);
DeclGroupPtrTy
ParseSimpleDeclaration(DeclaratorContext Context, SourceLocation &DeclEnd,
ParsedAttributesWithRange &attrs, bool RequireSemi,
ForRangeInit *FRI = nullptr,
SourceLocation *DeclSpecStart = nullptr);
bool MightBeDeclarator(DeclaratorContext Context);
DeclGroupPtrTy ParseDeclGroup(ParsingDeclSpec &DS, DeclaratorContext Context,
SourceLocation *DeclEnd = nullptr,
ForRangeInit *FRI = nullptr);
Decl *ParseDeclarationAfterDeclarator(Declarator &D,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo());
bool ParseAsmAttributesAfterDeclarator(Declarator &D);
Decl *ParseDeclarationAfterDeclaratorAndAttributes(
Declarator &D,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo(),
ForRangeInit *FRI = nullptr);
Decl *ParseFunctionStatementBody(Decl *Decl, ParseScope &BodyScope);
Decl *ParseFunctionTryBlock(Decl *Decl, ParseScope &BodyScope);
/// When in code-completion, skip parsing of the function/method body
/// unless the body contains the code-completion point.
///
/// \returns true if the function body was skipped.
bool trySkippingFunctionBody();
bool ParseImplicitInt(DeclSpec &DS, CXXScopeSpec *SS,
const ParsedTemplateInfo &TemplateInfo,
AccessSpecifier AS, DeclSpecContext DSC,
ParsedAttributesWithRange &Attrs);
DeclSpecContext
getDeclSpecContextFromDeclaratorContext(DeclaratorContext Context);
void ParseDeclarationSpecifiers(
DeclSpec &DS,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo(),
AccessSpecifier AS = AS_none,
DeclSpecContext DSC = DeclSpecContext::DSC_normal,
LateParsedAttrList *LateAttrs = nullptr);
bool DiagnoseMissingSemiAfterTagDefinition(
DeclSpec &DS, AccessSpecifier AS, DeclSpecContext DSContext,
LateParsedAttrList *LateAttrs = nullptr);
void ParseSpecifierQualifierList(
DeclSpec &DS, AccessSpecifier AS = AS_none,
DeclSpecContext DSC = DeclSpecContext::DSC_normal);
void ParseObjCTypeQualifierList(ObjCDeclSpec &DS,
DeclaratorContext Context);
void ParseEnumSpecifier(SourceLocation TagLoc, DeclSpec &DS,
const ParsedTemplateInfo &TemplateInfo,
AccessSpecifier AS, DeclSpecContext DSC);
void ParseEnumBody(SourceLocation StartLoc, Decl *TagDecl);
void ParseStructUnionBody(SourceLocation StartLoc, DeclSpec::TST TagType,
RecordDecl *TagDecl);
void ParseStructDeclaration(
ParsingDeclSpec &DS,
llvm::function_ref<void(ParsingFieldDeclarator &)> FieldsCallback);
bool isDeclarationSpecifier(bool DisambiguatingWithExpression = false);
bool isTypeSpecifierQualifier();
/// isKnownToBeTypeSpecifier - Return true if we know that the specified token
/// is definitely a type-specifier. Return false if it isn't part of a type
/// specifier or if we're not sure.
bool isKnownToBeTypeSpecifier(const Token &Tok) const;
/// Return true if we know that we are definitely looking at a
/// decl-specifier, and isn't part of an expression such as a function-style
/// cast. Return false if it's no a decl-specifier, or we're not sure.
bool isKnownToBeDeclarationSpecifier() {
if (getLangOpts().CPlusPlus)
return isCXXDeclarationSpecifier() == TPResult::True;
return isDeclarationSpecifier(true);
}
/// isDeclarationStatement - Disambiguates between a declaration or an
/// expression statement, when parsing function bodies.
/// Returns true for declaration, false for expression.
bool isDeclarationStatement() {
if (getLangOpts().CPlusPlus)
return isCXXDeclarationStatement();
return isDeclarationSpecifier(true);
}
/// isForInitDeclaration - Disambiguates between a declaration or an
/// expression in the context of the C 'clause-1' or the C++
// 'for-init-statement' part of a 'for' statement.
/// Returns true for declaration, false for expression.
bool isForInitDeclaration() {
if (getLangOpts().OpenMP)
Actions.startOpenMPLoop();
if (getLangOpts().CPlusPlus)
return isCXXSimpleDeclaration(/*AllowForRangeDecl=*/true);
return isDeclarationSpecifier(true);
}
/// Determine whether this is a C++1z for-range-identifier.
bool isForRangeIdentifier();
/// Determine whether we are currently at the start of an Objective-C
/// class message that appears to be missing the open bracket '['.
bool isStartOfObjCClassMessageMissingOpenBracket();
/// Starting with a scope specifier, identifier, or
/// template-id that refers to the current class, determine whether
/// this is a constructor declarator.
bool isConstructorDeclarator(bool Unqualified, bool DeductionGuide = false);
/// Specifies the context in which type-id/expression
/// disambiguation will occur.
enum TentativeCXXTypeIdContext {
TypeIdInParens,
TypeIdUnambiguous,
TypeIdAsTemplateArgument
};
/// isTypeIdInParens - Assumes that a '(' was parsed and now we want to know
/// whether the parens contain an expression or a type-id.
/// Returns true for a type-id and false for an expression.
bool isTypeIdInParens(bool &isAmbiguous) {
if (getLangOpts().CPlusPlus)
return isCXXTypeId(TypeIdInParens, isAmbiguous);
isAmbiguous = false;
return isTypeSpecifierQualifier();
}
bool isTypeIdInParens() {
bool isAmbiguous;
return isTypeIdInParens(isAmbiguous);
}
/// Checks if the current tokens form type-id or expression.
/// It is similar to isTypeIdInParens but does not suppose that type-id
/// is in parenthesis.
bool isTypeIdUnambiguously() {
bool IsAmbiguous;
if (getLangOpts().CPlusPlus)
return isCXXTypeId(TypeIdUnambiguous, IsAmbiguous);
return isTypeSpecifierQualifier();
}
/// isCXXDeclarationStatement - C++-specialized function that disambiguates
/// between a declaration or an expression statement, when parsing function
/// bodies. Returns true for declaration, false for expression.
bool isCXXDeclarationStatement();
/// isCXXSimpleDeclaration - C++-specialized function that disambiguates
/// between a simple-declaration or an expression-statement.
/// If during the disambiguation process a parsing error is encountered,
/// the function returns true to let the declaration parsing code handle it.
/// Returns false if the statement is disambiguated as expression.
bool isCXXSimpleDeclaration(bool AllowForRangeDecl);
/// isCXXFunctionDeclarator - Disambiguates between a function declarator or
/// a constructor-style initializer, when parsing declaration statements.
/// Returns true for function declarator and false for constructor-style
/// initializer. Sets 'IsAmbiguous' to true to indicate that this declaration
/// might be a constructor-style initializer.
/// If during the disambiguation process a parsing error is encountered,
/// the function returns true to let the declaration parsing code handle it.
bool isCXXFunctionDeclarator(bool *IsAmbiguous = nullptr);
struct ConditionDeclarationOrInitStatementState;
enum class ConditionOrInitStatement {
Expression, ///< Disambiguated as an expression (either kind).
ConditionDecl, ///< Disambiguated as the declaration form of condition.
InitStmtDecl, ///< Disambiguated as a simple-declaration init-statement.
ForRangeDecl, ///< Disambiguated as a for-range declaration.
Error ///< Can't be any of the above!
};
/// Disambiguates between the different kinds of things that can happen
/// after 'if (' or 'switch ('. This could be one of two different kinds of
/// declaration (depending on whether there is a ';' later) or an expression.
ConditionOrInitStatement
isCXXConditionDeclarationOrInitStatement(bool CanBeInitStmt,
bool CanBeForRangeDecl);
bool isCXXTypeId(TentativeCXXTypeIdContext Context, bool &isAmbiguous);
bool isCXXTypeId(TentativeCXXTypeIdContext Context) {
bool isAmbiguous;
return isCXXTypeId(Context, isAmbiguous);
}
/// TPResult - Used as the result value for functions whose purpose is to
/// disambiguate C++ constructs by "tentatively parsing" them.
enum class TPResult {
True, False, Ambiguous, Error
};
/// Determine whether we could have an enum-base.
///
/// \p AllowSemi If \c true, then allow a ';' after the enum-base; otherwise
/// only consider this to be an enum-base if the next token is a '{'.
///
/// \return \c false if this cannot possibly be an enum base; \c true
/// otherwise.
bool isEnumBase(bool AllowSemi);
/// isCXXDeclarationSpecifier - Returns TPResult::True if it is a
/// declaration specifier, TPResult::False if it is not,
/// TPResult::Ambiguous if it could be either a decl-specifier or a
/// function-style cast, and TPResult::Error if a parsing error was
/// encountered. If it could be a braced C++11 function-style cast, returns
/// BracedCastResult.
/// Doesn't consume tokens.
TPResult
isCXXDeclarationSpecifier(TPResult BracedCastResult = TPResult::False,
bool *InvalidAsDeclSpec = nullptr);
/// Given that isCXXDeclarationSpecifier returns \c TPResult::True or
/// \c TPResult::Ambiguous, determine whether the decl-specifier would be
/// a type-specifier other than a cv-qualifier.
bool isCXXDeclarationSpecifierAType();
/// Determine whether the current token sequence might be
/// '<' template-argument-list '>'
/// rather than a less-than expression.
TPResult isTemplateArgumentList(unsigned TokensToSkip);
/// Determine whether an '(' after an 'explicit' keyword is part of a C++20
/// 'explicit(bool)' declaration, in earlier language modes where that is an
/// extension.
TPResult isExplicitBool();
/// Determine whether an identifier has been tentatively declared as a
/// non-type. Such tentative declarations should not be found to name a type
/// during a tentative parse, but also should not be annotated as a non-type.
bool isTentativelyDeclared(IdentifierInfo *II);
// "Tentative parsing" functions, used for disambiguation. If a parsing error
// is encountered they will return TPResult::Error.
// Returning TPResult::True/False indicates that the ambiguity was
// resolved and tentative parsing may stop. TPResult::Ambiguous indicates
// that more tentative parsing is necessary for disambiguation.
// They all consume tokens, so backtracking should be used after calling them.
TPResult TryParseSimpleDeclaration(bool AllowForRangeDecl);
TPResult TryParseTypeofSpecifier();
TPResult TryParseProtocolQualifiers();
TPResult TryParsePtrOperatorSeq();
TPResult TryParseOperatorId();
TPResult TryParseInitDeclaratorList();
TPResult TryParseDeclarator(bool mayBeAbstract, bool mayHaveIdentifier = true,
bool mayHaveDirectInit = false);
TPResult
TryParseParameterDeclarationClause(bool *InvalidAsDeclaration = nullptr,
bool VersusTemplateArg = false);
TPResult TryParseFunctionDeclarator();
TPResult TryParseBracketDeclarator();
TPResult TryConsumeDeclarationSpecifier();
/// Try to skip a possibly empty sequence of 'attribute-specifier's without
/// full validation of the syntactic structure of attributes.
bool TrySkipAttributes();
public:
TypeResult ParseTypeName(SourceRange *Range = nullptr,
DeclaratorContext Context
= DeclaratorContext::TypeNameContext,
AccessSpecifier AS = AS_none,
Decl **OwnedType = nullptr,
ParsedAttributes *Attrs = nullptr);
private:
void ParseBlockId(SourceLocation CaretLoc);
/// Are [[]] attributes enabled?
bool standardAttributesAllowed() const {
const LangOptions &LO = getLangOpts();
return LO.DoubleSquareBracketAttributes;
}
// Check for the start of an attribute-specifier-seq in a context where an
// attribute is not allowed.
bool CheckProhibitedCXX11Attribute() {
assert(Tok.is(tok::l_square));
if (!standardAttributesAllowed() || NextToken().isNot(tok::l_square))
return false;
return DiagnoseProhibitedCXX11Attribute();
}
bool DiagnoseProhibitedCXX11Attribute();
void CheckMisplacedCXX11Attribute(ParsedAttributesWithRange &Attrs,
SourceLocation CorrectLocation) {
if (!standardAttributesAllowed())
return;
if ((Tok.isNot(tok::l_square) || NextToken().isNot(tok::l_square)) &&
Tok.isNot(tok::kw_alignas))
return;
DiagnoseMisplacedCXX11Attribute(Attrs, CorrectLocation);
}
void DiagnoseMisplacedCXX11Attribute(ParsedAttributesWithRange &Attrs,
SourceLocation CorrectLocation);
void stripTypeAttributesOffDeclSpec(ParsedAttributesWithRange &Attrs,
DeclSpec &DS, Sema::TagUseKind TUK);
// FixItLoc = possible correct location for the attributes
void ProhibitAttributes(ParsedAttributesWithRange &Attrs,
SourceLocation FixItLoc = SourceLocation()) {
if (Attrs.Range.isInvalid())
return;
DiagnoseProhibitedAttributes(Attrs.Range, FixItLoc);
Attrs.clear();
}
void ProhibitAttributes(ParsedAttributesViewWithRange &Attrs,
SourceLocation FixItLoc = SourceLocation()) {
if (Attrs.Range.isInvalid())
return;
DiagnoseProhibitedAttributes(Attrs.Range, FixItLoc);
Attrs.clearListOnly();
}
void DiagnoseProhibitedAttributes(const SourceRange &Range,
SourceLocation FixItLoc);
// Forbid C++11 and C2x attributes that appear on certain syntactic locations
// which standard permits but we don't supported yet, for example, attributes
// appertain to decl specifiers.
void ProhibitCXX11Attributes(ParsedAttributesWithRange &Attrs,
unsigned DiagID);
/// Skip C++11 and C2x attributes and return the end location of the
/// last one.
/// \returns SourceLocation() if there are no attributes.
SourceLocation SkipCXX11Attributes();
/// Diagnose and skip C++11 and C2x attributes that appear in syntactic
/// locations where attributes are not allowed.
void DiagnoseAndSkipCXX11Attributes();
/// Parses syntax-generic attribute arguments for attributes which are
/// known to the implementation, and adds them to the given ParsedAttributes
/// list with the given attribute syntax. Returns the number of arguments
/// parsed for the attribute.
unsigned
ParseAttributeArgsCommon(IdentifierInfo *AttrName, SourceLocation AttrNameLoc,
ParsedAttributes &Attrs, SourceLocation *EndLoc,
IdentifierInfo *ScopeName, SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void MaybeParseGNUAttributes(Declarator &D,
LateParsedAttrList *LateAttrs = nullptr) {
if (Tok.is(tok::kw___attribute)) {
ParsedAttributes attrs(AttrFactory);
SourceLocation endLoc;
ParseGNUAttributes(attrs, &endLoc, LateAttrs, &D);
D.takeAttributes(attrs, endLoc);
}
}
void MaybeParseGNUAttributes(ParsedAttributes &attrs,
SourceLocation *endLoc = nullptr,
LateParsedAttrList *LateAttrs = nullptr) {
if (Tok.is(tok::kw___attribute))
ParseGNUAttributes(attrs, endLoc, LateAttrs);
}
void ParseGNUAttributes(ParsedAttributes &attrs,
SourceLocation *endLoc = nullptr,
LateParsedAttrList *LateAttrs = nullptr,
Declarator *D = nullptr);
void ParseGNUAttributeArgs(IdentifierInfo *AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs, SourceLocation *EndLoc,
IdentifierInfo *ScopeName, SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax, Declarator *D);
IdentifierLoc *ParseIdentifierLoc();
unsigned
ParseClangAttributeArgs(IdentifierInfo *AttrName, SourceLocation AttrNameLoc,
ParsedAttributes &Attrs, SourceLocation *EndLoc,
IdentifierInfo *ScopeName, SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void MaybeParseCXX11Attributes(Declarator &D) {
if (standardAttributesAllowed() && isCXX11AttributeSpecifier()) {
ParsedAttributesWithRange attrs(AttrFactory);
SourceLocation endLoc;
ParseCXX11Attributes(attrs, &endLoc);
D.takeAttributes(attrs, endLoc);
}
}
bool MaybeParseCXX11Attributes(ParsedAttributes &attrs,
SourceLocation *endLoc = nullptr) {
if (standardAttributesAllowed() && isCXX11AttributeSpecifier()) {
ParsedAttributesWithRange attrsWithRange(AttrFactory);
ParseCXX11Attributes(attrsWithRange, endLoc);
attrs.takeAllFrom(attrsWithRange);
return true;
}
return false;
}
void MaybeParseCXX11Attributes(ParsedAttributesWithRange &attrs,
SourceLocation *endLoc = nullptr,
bool OuterMightBeMessageSend = false) {
if (standardAttributesAllowed() &&
isCXX11AttributeSpecifier(false, OuterMightBeMessageSend))
ParseCXX11Attributes(attrs, endLoc);
}
void ParseCXX11AttributeSpecifier(ParsedAttributes &attrs,
SourceLocation *EndLoc = nullptr);
void ParseCXX11Attributes(ParsedAttributesWithRange &attrs,
SourceLocation *EndLoc = nullptr);
/// Parses a C++11 (or C2x)-style attribute argument list. Returns true
/// if this results in adding an attribute to the ParsedAttributes list.
bool ParseCXX11AttributeArgs(IdentifierInfo *AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs, SourceLocation *EndLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc);
IdentifierInfo *TryParseCXX11AttributeIdentifier(SourceLocation &Loc);
void MaybeParseMicrosoftAttributes(ParsedAttributes &attrs,
SourceLocation *endLoc = nullptr) {
if (getLangOpts().MicrosoftExt && Tok.is(tok::l_square))
ParseMicrosoftAttributes(attrs, endLoc);
}
void ParseMicrosoftUuidAttributeArgs(ParsedAttributes &Attrs);
void ParseMicrosoftAttributes(ParsedAttributes &attrs,
SourceLocation *endLoc = nullptr);
void MaybeParseMicrosoftDeclSpecs(ParsedAttributes &Attrs,
SourceLocation *End = nullptr) {
const auto &LO = getLangOpts();
if (LO.DeclSpecKeyword && Tok.is(tok::kw___declspec))
ParseMicrosoftDeclSpecs(Attrs, End);
}
void ParseMicrosoftDeclSpecs(ParsedAttributes &Attrs,
SourceLocation *End = nullptr);
bool ParseMicrosoftDeclSpecArgs(IdentifierInfo *AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs);
void ParseMicrosoftTypeAttributes(ParsedAttributes &attrs);
void DiagnoseAndSkipExtendedMicrosoftTypeAttributes();
SourceLocation SkipExtendedMicrosoftTypeAttributes();
void ParseMicrosoftInheritanceClassAttributes(ParsedAttributes &attrs);
void ParseBorlandTypeAttributes(ParsedAttributes &attrs);
void ParseOpenCLKernelAttributes(ParsedAttributes &attrs);
void ParseOpenCLQualifiers(ParsedAttributes &Attrs);
/// Parses opencl_unroll_hint attribute if language is OpenCL v2.0
/// or higher.
/// \return false if error happens.
bool MaybeParseOpenCLUnrollHintAttribute(ParsedAttributes &Attrs) {
if (getLangOpts().OpenCL)
return ParseOpenCLUnrollHintAttribute(Attrs);
return true;
}
/// Parses opencl_unroll_hint attribute.
/// \return false if error happens.
bool ParseOpenCLUnrollHintAttribute(ParsedAttributes &Attrs);
void ParseNullabilityTypeSpecifiers(ParsedAttributes &attrs);
VersionTuple ParseVersionTuple(SourceRange &Range);
void ParseAvailabilityAttribute(IdentifierInfo &Availability,
SourceLocation AvailabilityLoc,
ParsedAttributes &attrs,
SourceLocation *endLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
Optional<AvailabilitySpec> ParseAvailabilitySpec();
ExprResult ParseAvailabilityCheckExpr(SourceLocation StartLoc);
void ParseExternalSourceSymbolAttribute(IdentifierInfo &ExternalSourceSymbol,
SourceLocation Loc,
ParsedAttributes &Attrs,
SourceLocation *EndLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void ParseObjCBridgeRelatedAttribute(IdentifierInfo &ObjCBridgeRelated,
SourceLocation ObjCBridgeRelatedLoc,
ParsedAttributes &attrs,
SourceLocation *endLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void ParseTypeTagForDatatypeAttribute(IdentifierInfo &AttrName,
SourceLocation AttrNameLoc,
ParsedAttributes &Attrs,
SourceLocation *EndLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void ParseSwiftNewtypeAttribute(IdentifierInfo &SwiftNewtype,
SourceLocation SwiftNewtypeLoc,
ParsedAttributes &attrs,
SourceLocation *endLoc,
IdentifierInfo *ScopeName,
SourceLocation ScopeLoc,
ParsedAttr::Syntax Syntax);
void
ParseAttributeWithTypeArg(IdentifierInfo &AttrName,
SourceLocation AttrNameLoc, ParsedAttributes &Attrs,
SourceLocation *EndLoc, IdentifierInfo *ScopeName,
SourceLocation ScopeLoc, ParsedAttr::Syntax Syntax);
void ParseTypeofSpecifier(DeclSpec &DS);
SourceLocation ParseDecltypeSpecifier(DeclSpec &DS);
void AnnotateExistingDecltypeSpecifier(const DeclSpec &DS,
SourceLocation StartLoc,
SourceLocation EndLoc);
void ParseUnderlyingTypeSpecifier(DeclSpec &DS);
void ParseAtomicSpecifier(DeclSpec &DS);
ExprResult ParseAlignArgument(SourceLocation Start,
SourceLocation &EllipsisLoc);
void ParseAlignmentSpecifier(ParsedAttributes &Attrs,
SourceLocation *endLoc = nullptr);
ExprResult ParseExtIntegerArgument();
void ParsePtrauthQualifier(ParsedAttributes &Attrs);
VirtSpecifiers::Specifier isCXX11VirtSpecifier(const Token &Tok) const;
VirtSpecifiers::Specifier isCXX11VirtSpecifier() const {
return isCXX11VirtSpecifier(Tok);
}
void ParseOptionalCXX11VirtSpecifierSeq(VirtSpecifiers &VS, bool IsInterface,
SourceLocation FriendLoc);
bool isCXX11FinalKeyword() const;
/// DeclaratorScopeObj - RAII object used in Parser::ParseDirectDeclarator to
/// enter a new C++ declarator scope and exit it when the function is
/// finished.
class DeclaratorScopeObj {
Parser &P;
CXXScopeSpec &SS;
bool EnteredScope;
bool CreatedScope;
public:
DeclaratorScopeObj(Parser &p, CXXScopeSpec &ss)
: P(p), SS(ss), EnteredScope(false), CreatedScope(false) {}
void EnterDeclaratorScope() {
assert(!EnteredScope && "Already entered the scope!");
assert(SS.isSet() && "C++ scope was not set!");
CreatedScope = true;
P.EnterScope(0); // Not a decl scope.
if (!P.Actions.ActOnCXXEnterDeclaratorScope(P.getCurScope(), SS))
EnteredScope = true;
}
~DeclaratorScopeObj() {
if (EnteredScope) {
assert(SS.isSet() && "C++ scope was cleared ?");
P.Actions.ActOnCXXExitDeclaratorScope(P.getCurScope(), SS);
}
if (CreatedScope)
P.ExitScope();
}
};
/// ParseDeclarator - Parse and verify a newly-initialized declarator.
void ParseDeclarator(Declarator &D);
/// A function that parses a variant of direct-declarator.
typedef void (Parser::*DirectDeclParseFunction)(Declarator&);
void ParseDeclaratorInternal(Declarator &D,
DirectDeclParseFunction DirectDeclParser);
enum AttrRequirements {
AR_NoAttributesParsed = 0, ///< No attributes are diagnosed.
AR_GNUAttributesParsedAndRejected = 1 << 0, ///< Diagnose GNU attributes.
AR_GNUAttributesParsed = 1 << 1,
AR_CXX11AttributesParsed = 1 << 2,
AR_DeclspecAttributesParsed = 1 << 3,
AR_AllAttributesParsed = AR_GNUAttributesParsed |
AR_CXX11AttributesParsed |
AR_DeclspecAttributesParsed,
AR_VendorAttributesParsed = AR_GNUAttributesParsed |
AR_DeclspecAttributesParsed
};
void ParseTypeQualifierListOpt(
DeclSpec &DS, unsigned AttrReqs = AR_AllAttributesParsed,
bool AtomicAllowed = true, bool IdentifierRequired = false,
Optional<llvm::function_ref<void()>> CodeCompletionHandler = None);
void ParseDirectDeclarator(Declarator &D);
void ParseDecompositionDeclarator(Declarator &D);
void ParseParenDeclarator(Declarator &D);
void ParseFunctionDeclarator(Declarator &D,
ParsedAttributes &attrs,
BalancedDelimiterTracker &Tracker,
bool IsAmbiguous,
bool RequiresArg = false);
void InitCXXThisScopeForDeclaratorIfRelevant(
const Declarator &D, const DeclSpec &DS,
llvm::Optional<Sema::CXXThisScopeRAII> &ThisScope);
bool ParseRefQualifier(bool &RefQualifierIsLValueRef,
SourceLocation &RefQualifierLoc);
bool isFunctionDeclaratorIdentifierList();
void ParseFunctionDeclaratorIdentifierList(
Declarator &D,
SmallVectorImpl<DeclaratorChunk::ParamInfo> &ParamInfo);
void ParseParameterDeclarationClause(
DeclaratorContext DeclaratorContext,
ParsedAttributes &attrs,
SmallVectorImpl<DeclaratorChunk::ParamInfo> &ParamInfo,
SourceLocation &EllipsisLoc);
void ParseBracketDeclarator(Declarator &D);
void ParseMisplacedBracketDeclarator(Declarator &D);
//===--------------------------------------------------------------------===//
// C++ 7: Declarations [dcl.dcl]
/// The kind of attribute specifier we have found.
enum CXX11AttributeKind {
/// This is not an attribute specifier.
CAK_NotAttributeSpecifier,
/// This should be treated as an attribute-specifier.
CAK_AttributeSpecifier,
/// The next tokens are '[[', but this is not an attribute-specifier. This
/// is ill-formed by C++11 [dcl.attr.grammar]p6.
CAK_InvalidAttributeSpecifier
};
CXX11AttributeKind
isCXX11AttributeSpecifier(bool Disambiguate = false,
bool OuterMightBeMessageSend = false);
void DiagnoseUnexpectedNamespace(NamedDecl *Context);
DeclGroupPtrTy ParseNamespace(DeclaratorContext Context,
SourceLocation &DeclEnd,
SourceLocation InlineLoc = SourceLocation());
struct InnerNamespaceInfo {
SourceLocation NamespaceLoc;
SourceLocation InlineLoc;
SourceLocation IdentLoc;
IdentifierInfo *Ident;
};
using InnerNamespaceInfoList = llvm::SmallVector<InnerNamespaceInfo, 4>;
void ParseInnerNamespace(const InnerNamespaceInfoList &InnerNSs,
unsigned int index, SourceLocation &InlineLoc,
ParsedAttributes &attrs,
BalancedDelimiterTracker &Tracker);
Decl *ParseLinkage(ParsingDeclSpec &DS, DeclaratorContext Context);
Decl *ParseExportDeclaration();
DeclGroupPtrTy ParseUsingDirectiveOrDeclaration(
DeclaratorContext Context, const ParsedTemplateInfo &TemplateInfo,
SourceLocation &DeclEnd, ParsedAttributesWithRange &attrs);
Decl *ParseUsingDirective(DeclaratorContext Context,
SourceLocation UsingLoc,
SourceLocation &DeclEnd,
ParsedAttributes &attrs);
struct UsingDeclarator {
SourceLocation TypenameLoc;
CXXScopeSpec SS;
UnqualifiedId Name;
SourceLocation EllipsisLoc;
void clear() {
TypenameLoc = EllipsisLoc = SourceLocation();
SS.clear();
Name.clear();
}
};
bool ParseUsingDeclarator(DeclaratorContext Context, UsingDeclarator &D);
DeclGroupPtrTy ParseUsingDeclaration(DeclaratorContext Context,
const ParsedTemplateInfo &TemplateInfo,
SourceLocation UsingLoc,
SourceLocation &DeclEnd,
AccessSpecifier AS = AS_none);
Decl *ParseAliasDeclarationAfterDeclarator(
const ParsedTemplateInfo &TemplateInfo, SourceLocation UsingLoc,
UsingDeclarator &D, SourceLocation &DeclEnd, AccessSpecifier AS,
ParsedAttributes &Attrs, Decl **OwnedType = nullptr);
Decl *ParseStaticAssertDeclaration(SourceLocation &DeclEnd);
Decl *ParseNamespaceAlias(SourceLocation NamespaceLoc,
SourceLocation AliasLoc, IdentifierInfo *Alias,
SourceLocation &DeclEnd);
//===--------------------------------------------------------------------===//
// C++ 9: classes [class] and C structs/unions.
bool isValidAfterTypeSpecifier(bool CouldBeBitfield);
void ParseClassSpecifier(tok::TokenKind TagTokKind, SourceLocation TagLoc,
DeclSpec &DS, const ParsedTemplateInfo &TemplateInfo,
AccessSpecifier AS, bool EnteringContext,
DeclSpecContext DSC,
ParsedAttributesWithRange &Attributes);
void SkipCXXMemberSpecification(SourceLocation StartLoc,
SourceLocation AttrFixitLoc,
unsigned TagType,
Decl *TagDecl);
void ParseCXXMemberSpecification(SourceLocation StartLoc,
SourceLocation AttrFixitLoc,
ParsedAttributesWithRange &Attrs,
unsigned TagType,
Decl *TagDecl);
ExprResult ParseCXXMemberInitializer(Decl *D, bool IsFunction,
SourceLocation &EqualLoc);
bool
ParseCXXMemberDeclaratorBeforeInitializer(Declarator &DeclaratorInfo,
VirtSpecifiers &VS,
ExprResult &BitfieldSize,
LateParsedAttrList &LateAttrs);
void MaybeParseAndDiagnoseDeclSpecAfterCXX11VirtSpecifierSeq(Declarator &D,
VirtSpecifiers &VS);
DeclGroupPtrTy ParseCXXClassMemberDeclaration(
AccessSpecifier AS, ParsedAttributes &Attr,
const ParsedTemplateInfo &TemplateInfo = ParsedTemplateInfo(),
ParsingDeclRAIIObject *DiagsFromTParams = nullptr);
DeclGroupPtrTy ParseCXXClassMemberDeclarationWithPragmas(
AccessSpecifier &AS, ParsedAttributesWithRange &AccessAttrs,
DeclSpec::TST TagType, Decl *Tag);
void ParseConstructorInitializer(Decl *ConstructorDecl);
MemInitResult ParseMemInitializer(Decl *ConstructorDecl);
void HandleMemberFunctionDeclDelays(Declarator& DeclaratorInfo,
Decl *ThisDecl);
//===--------------------------------------------------------------------===//
// C++ 10: Derived classes [class.derived]
TypeResult ParseBaseTypeSpecifier(SourceLocation &BaseLoc,
SourceLocation &EndLocation);
void ParseBaseClause(Decl *ClassDecl);
BaseResult ParseBaseSpecifier(Decl *ClassDecl);
AccessSpecifier getAccessSpecifierIfPresent() const;
bool ParseUnqualifiedIdTemplateId(CXXScopeSpec &SS,
ParsedType ObjectType,
bool ObjectHadErrors,
SourceLocation TemplateKWLoc,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool EnteringContext,
UnqualifiedId &Id,
bool AssumeTemplateId);
bool ParseUnqualifiedIdOperator(CXXScopeSpec &SS, bool EnteringContext,
ParsedType ObjectType,
UnqualifiedId &Result);
//===--------------------------------------------------------------------===//
// OpenMP: Directives and clauses.
/// Parse clauses for '#pragma omp declare simd'.
DeclGroupPtrTy ParseOMPDeclareSimdClauses(DeclGroupPtrTy Ptr,
CachedTokens &Toks,
SourceLocation Loc);
/// Parse a property kind into \p TIProperty for the selector set \p Set and
/// selector \p Selector.
void parseOMPTraitPropertyKind(OMPTraitProperty &TIProperty,
llvm::omp::TraitSet Set,
llvm::omp::TraitSelector Selector,
llvm::StringMap<SourceLocation> &Seen);
/// Parse a selector kind into \p TISelector for the selector set \p Set.
void parseOMPTraitSelectorKind(OMPTraitSelector &TISelector,
llvm::omp::TraitSet Set,
llvm::StringMap<SourceLocation> &Seen);
/// Parse a selector set kind into \p TISet.
void parseOMPTraitSetKind(OMPTraitSet &TISet,
llvm::StringMap<SourceLocation> &Seen);
/// Parses an OpenMP context property.
void parseOMPContextProperty(OMPTraitSelector &TISelector,
llvm::omp::TraitSet Set,
llvm::StringMap<SourceLocation> &Seen);
/// Parses an OpenMP context selector.
void parseOMPContextSelector(OMPTraitSelector &TISelector,
llvm::omp::TraitSet Set,
llvm::StringMap<SourceLocation> &SeenSelectors);
/// Parses an OpenMP context selector set.
void parseOMPContextSelectorSet(OMPTraitSet &TISet,
llvm::StringMap<SourceLocation> &SeenSets);
/// Parses OpenMP context selectors.
bool parseOMPContextSelectors(SourceLocation Loc, OMPTraitInfo &TI);
/// Parse a `match` clause for an '#pragma omp declare variant'. Return true
/// if there was an error.
bool parseOMPDeclareVariantMatchClause(SourceLocation Loc, OMPTraitInfo &TI,
OMPTraitInfo *ParentTI);
/// Parse clauses for '#pragma omp declare variant'.
void ParseOMPDeclareVariantClauses(DeclGroupPtrTy Ptr, CachedTokens &Toks,
SourceLocation Loc);
/// Parse clauses for '#pragma omp declare target'.
DeclGroupPtrTy ParseOMPDeclareTargetClauses();
/// Parse '#pragma omp end declare target'.
void ParseOMPEndDeclareTargetDirective(OpenMPDirectiveKind DKind,
SourceLocation Loc);
/// Skip tokens until a `annot_pragma_openmp_end` was found. Emit a warning if
/// it is not the current token.
void skipUntilPragmaOpenMPEnd(OpenMPDirectiveKind DKind);
/// Check the \p FoundKind against the \p ExpectedKind, if not issue an error
/// that the "end" matching the "begin" directive of kind \p BeginKind was not
/// found. Finally, if the expected kind was found or if \p SkipUntilOpenMPEnd
/// is set, skip ahead using the helper `skipUntilPragmaOpenMPEnd`.
void parseOMPEndDirective(OpenMPDirectiveKind BeginKind,
OpenMPDirectiveKind ExpectedKind,
OpenMPDirectiveKind FoundKind,
SourceLocation MatchingLoc,
SourceLocation FoundLoc,
bool SkipUntilOpenMPEnd);
/// Parses declarative OpenMP directives.
DeclGroupPtrTy ParseOpenMPDeclarativeDirectiveWithExtDecl(
AccessSpecifier &AS, ParsedAttributesWithRange &Attrs,
bool Delayed = false, DeclSpec::TST TagType = DeclSpec::TST_unspecified,
Decl *TagDecl = nullptr);
/// Parse 'omp declare reduction' construct.
DeclGroupPtrTy ParseOpenMPDeclareReductionDirective(AccessSpecifier AS);
/// Parses initializer for provided omp_priv declaration inside the reduction
/// initializer.
void ParseOpenMPReductionInitializerForDecl(VarDecl *OmpPrivParm);
/// Parses 'omp declare mapper' directive.
DeclGroupPtrTy ParseOpenMPDeclareMapperDirective(AccessSpecifier AS);
/// Parses variable declaration in 'omp declare mapper' directive.
TypeResult parseOpenMPDeclareMapperVarDecl(SourceRange &Range,
DeclarationName &Name,
AccessSpecifier AS = AS_none);
/// Tries to parse cast part of OpenMP array shaping operation:
/// '[' expression ']' { '[' expression ']' } ')'.
bool tryParseOpenMPArrayShapingCastPart();
/// Parses simple list of variables.
///
/// \param Kind Kind of the directive.
/// \param Callback Callback function to be called for the list elements.
/// \param AllowScopeSpecifier true, if the variables can have fully
/// qualified names.
///
bool ParseOpenMPSimpleVarList(
OpenMPDirectiveKind Kind,
const llvm::function_ref<void(CXXScopeSpec &, DeclarationNameInfo)> &
Callback,
bool AllowScopeSpecifier);
/// Parses declarative or executable directive.
///
/// \param StmtCtx The context in which we're parsing the directive.
StmtResult
ParseOpenMPDeclarativeOrExecutableDirective(ParsedStmtContext StmtCtx);
/// Parses clause of kind \a CKind for directive of a kind \a Kind.
///
/// \param DKind Kind of current directive.
/// \param CKind Kind of current clause.
/// \param FirstClause true, if this is the first clause of a kind \a CKind
/// in current directive.
///
OMPClause *ParseOpenMPClause(OpenMPDirectiveKind DKind,
OpenMPClauseKind CKind, bool FirstClause);
/// Parses clause with a single expression of a kind \a Kind.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPSingleExprClause(OpenMPClauseKind Kind,
bool ParseOnly);
/// Parses simple clause of a kind \a Kind.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPSimpleClause(OpenMPClauseKind Kind, bool ParseOnly);
/// Parses clause with a single expression and an additional argument
/// of a kind \a Kind.
///
/// \param DKind Directive kind.
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPSingleExprWithArgClause(OpenMPDirectiveKind DKind,
OpenMPClauseKind Kind,
bool ParseOnly);
/// Parses clause without any additional arguments.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPClause(OpenMPClauseKind Kind, bool ParseOnly = false);
/// Parses clause with the list of variables of a kind \a Kind.
///
/// \param Kind Kind of current clause.
/// \param ParseOnly true to skip the clause's semantic actions and return
/// nullptr.
///
OMPClause *ParseOpenMPVarListClause(OpenMPDirectiveKind DKind,
OpenMPClauseKind Kind, bool ParseOnly);
/// Parses and creates OpenMP 5.0 iterators expression:
/// <iterators> = 'iterator' '(' { [ <iterator-type> ] identifier =
/// <range-specification> }+ ')'
ExprResult ParseOpenMPIteratorsExpr();
/// Parses allocators and traits in the context of the uses_allocator clause.
/// Expected format:
/// '(' { <allocator> [ '(' <allocator_traits> ')' ] }+ ')'
OMPClause *ParseOpenMPUsesAllocatorClause(OpenMPDirectiveKind DKind);
public:
/// Parses simple expression in parens for single-expression clauses of OpenMP
/// constructs.
/// \param RLoc Returned location of right paren.
ExprResult ParseOpenMPParensExpr(StringRef ClauseName, SourceLocation &RLoc,
bool IsAddressOfOperand = false);
/// Data used for parsing list of variables in OpenMP clauses.
struct OpenMPVarListDataTy {
Expr *DepModOrTailExpr = nullptr;
SourceLocation ColonLoc;
SourceLocation RLoc;
CXXScopeSpec ReductionOrMapperIdScopeSpec;
DeclarationNameInfo ReductionOrMapperId;
int ExtraModifier = -1; ///< Additional modifier for linear, map, depend or
///< lastprivate clause.
SmallVector<OpenMPMapModifierKind, NumberOfOMPMapClauseModifiers>
MapTypeModifiers;
SmallVector<SourceLocation, NumberOfOMPMapClauseModifiers>
MapTypeModifiersLoc;
SmallVector<OpenMPMotionModifierKind, NumberOfOMPMotionModifiers>
MotionModifiers;
SmallVector<SourceLocation, NumberOfOMPMotionModifiers> MotionModifiersLoc;
bool IsMapTypeImplicit = false;
SourceLocation ExtraModifierLoc;
};
/// Parses clauses with list.
bool ParseOpenMPVarList(OpenMPDirectiveKind DKind, OpenMPClauseKind Kind,
SmallVectorImpl<Expr *> &Vars,
OpenMPVarListDataTy &Data);
bool ParseUnqualifiedId(CXXScopeSpec &SS, ParsedType ObjectType,
bool ObjectHadErrors, bool EnteringContext,
bool AllowDestructorName, bool AllowConstructorName,
bool AllowDeductionGuide,
SourceLocation *TemplateKWLoc, UnqualifiedId &Result);
/// Parses the mapper modifier in map, to, and from clauses.
bool parseMapperModifier(OpenMPVarListDataTy &Data);
/// Parses map-type-modifiers in map clause.
/// map([ [map-type-modifier[,] [map-type-modifier[,] ...] map-type : ] list)
/// where, map-type-modifier ::= always | close | mapper(mapper-identifier)
bool parseMapTypeModifiers(OpenMPVarListDataTy &Data);
private:
//===--------------------------------------------------------------------===//
// C++ 14: Templates [temp]
// C++ 14.1: Template Parameters [temp.param]
Decl *ParseDeclarationStartingWithTemplate(DeclaratorContext Context,
SourceLocation &DeclEnd,
ParsedAttributes &AccessAttrs,
AccessSpecifier AS = AS_none);
Decl *ParseTemplateDeclarationOrSpecialization(DeclaratorContext Context,
SourceLocation &DeclEnd,
ParsedAttributes &AccessAttrs,
AccessSpecifier AS);
Decl *ParseSingleDeclarationAfterTemplate(
DeclaratorContext Context, const ParsedTemplateInfo &TemplateInfo,
ParsingDeclRAIIObject &DiagsFromParams, SourceLocation &DeclEnd,
ParsedAttributes &AccessAttrs, AccessSpecifier AS = AS_none);
bool ParseTemplateParameters(MultiParseScope &TemplateScopes, unsigned Depth,
SmallVectorImpl<NamedDecl *> &TemplateParams,
SourceLocation &LAngleLoc,
SourceLocation &RAngleLoc);
bool ParseTemplateParameterList(unsigned Depth,
SmallVectorImpl<NamedDecl*> &TemplateParams);
TPResult isStartOfTemplateTypeParameter();
NamedDecl *ParseTemplateParameter(unsigned Depth, unsigned Position);
NamedDecl *ParseTypeParameter(unsigned Depth, unsigned Position);
NamedDecl *ParseTemplateTemplateParameter(unsigned Depth, unsigned Position);
NamedDecl *ParseNonTypeTemplateParameter(unsigned Depth, unsigned Position);
bool isTypeConstraintAnnotation();
bool TryAnnotateTypeConstraint();
NamedDecl *
ParseConstrainedTemplateTypeParameter(unsigned Depth, unsigned Position);
void DiagnoseMisplacedEllipsis(SourceLocation EllipsisLoc,
SourceLocation CorrectLoc,
bool AlreadyHasEllipsis,
bool IdentifierHasName);
void DiagnoseMisplacedEllipsisInDeclarator(SourceLocation EllipsisLoc,
Declarator &D);
// C++ 14.3: Template arguments [temp.arg]
typedef SmallVector<ParsedTemplateArgument, 16> TemplateArgList;
bool ParseGreaterThanInTemplateList(SourceLocation LAngleLoc,
SourceLocation &RAngleLoc,
bool ConsumeLastToken,
bool ObjCGenericList);
bool ParseTemplateIdAfterTemplateName(bool ConsumeLastToken,
SourceLocation &LAngleLoc,
TemplateArgList &TemplateArgs,
SourceLocation &RAngleLoc);
bool AnnotateTemplateIdToken(TemplateTy Template, TemplateNameKind TNK,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &TemplateName,
bool AllowTypeAnnotation = true,
bool TypeConstraint = false);
void AnnotateTemplateIdTokenAsType(CXXScopeSpec &SS,
bool IsClassName = false);
bool ParseTemplateArgumentList(TemplateArgList &TemplateArgs);
ParsedTemplateArgument ParseTemplateTemplateArgument();
ParsedTemplateArgument ParseTemplateArgument();
Decl *ParseExplicitInstantiation(DeclaratorContext Context,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
SourceLocation &DeclEnd,
ParsedAttributes &AccessAttrs,
AccessSpecifier AS = AS_none);
// C++2a: Template, concept definition [temp]
Decl *
ParseConceptDefinition(const ParsedTemplateInfo &TemplateInfo,
SourceLocation &DeclEnd);
//===--------------------------------------------------------------------===//
// Modules
DeclGroupPtrTy ParseModuleDecl(bool IsFirstDecl);
Decl *ParseModuleImport(SourceLocation AtLoc);
bool parseMisplacedModuleImport();
bool tryParseMisplacedModuleImport() {
tok::TokenKind Kind = Tok.getKind();
if (Kind == tok::annot_module_begin || Kind == tok::annot_module_end ||
Kind == tok::annot_module_include)
return parseMisplacedModuleImport();
return false;
}
bool ParseModuleName(
SourceLocation UseLoc,
SmallVectorImpl<std::pair<IdentifierInfo *, SourceLocation>> &Path,
bool IsImport);
//===--------------------------------------------------------------------===//
// C++11/G++: Type Traits [Type-Traits.html in the GCC manual]
ExprResult ParseTypeTrait();
/// Parse the given string as a type.
///
/// This is a dangerous utility function currently employed only by API notes.
/// It is not a general entry-point for safely parsing types from strings.
///
/// \param typeStr The string to be parsed as a type.
/// \param context The name of the context in which this string is being
/// parsed, which will be used in diagnostics.
/// \param includeLoc The location at which this parse was triggered.
TypeResult parseTypeFromString(StringRef typeStr, StringRef context,
SourceLocation includeLoc);
//===--------------------------------------------------------------------===//
// Embarcadero: Arary and Expression Traits
ExprResult ParseArrayTypeTrait();
ExprResult ParseExpressionTrait();
ExprResult ParseBuiltinPtrauthTypeDiscriminator();
//===--------------------------------------------------------------------===//
// Preprocessor code-completion pass-through
void CodeCompleteDirective(bool InConditional) override;
void CodeCompleteInConditionalExclusion() override;
void CodeCompleteMacroName(bool IsDefinition) override;
void CodeCompletePreprocessorExpression() override;
void CodeCompleteMacroArgument(IdentifierInfo *Macro, MacroInfo *MacroInfo,
unsigned ArgumentIndex) override;
void CodeCompleteIncludedFile(llvm::StringRef Dir, bool IsAngled) override;
void CodeCompleteNaturalLanguage() override;
class GNUAsmQualifiers {
unsigned Qualifiers = AQ_unspecified;
public:
enum AQ {
AQ_unspecified = 0,
AQ_volatile = 1,
AQ_inline = 2,
AQ_goto = 4,
};
static const char *getQualifierName(AQ Qualifier);
bool setAsmQualifier(AQ Qualifier);
inline bool isVolatile() const { return Qualifiers & AQ_volatile; };
inline bool isInline() const { return Qualifiers & AQ_inline; };
inline bool isGoto() const { return Qualifiers & AQ_goto; }
};
bool isGCCAsmStatement(const Token &TokAfterAsm) const;
bool isGNUAsmQualifier(const Token &TokAfterAsm) const;
GNUAsmQualifiers::AQ getGNUAsmQualifier(const Token &Tok) const;
bool parseGNUAsmQualifierListOpt(GNUAsmQualifiers &AQ);
};
} // end namespace clang
#endif
|
graphStats.c | // -----------------------------------------------------------------------------
//
// "00_AccelGraph"
//
// -----------------------------------------------------------------------------
// Copyright (c) 2014-2019 All rights reserved
// -----------------------------------------------------------------------------
// Author : Abdullah Mughrabi/http://www.martinbroadhurst.com/levenshtein-distance-in-c.html
// Email : atmughra@ncsu.edu||atmughrabi@gmail.com
// File : graphStats.c
// Create : 2019-06-21 17:15:17
// Revise : 2019-09-28 15:37:12
// Editor : Abdullah Mughrabi
// -----------------------------------------------------------------------------
#include <ctype.h>
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <argp.h>
#include <stdbool.h>
#include <omp.h>
#include <string.h>
#include <math.h>
#include <stdint.h>
#include <assert.h>
#include "fixedPoint.h"
#include "timer.h"
#include "myMalloc.h"
#include "graphConfig.h"
#include "graphCSR.h"
#include "pageRank.h"
#include "graphStats.h"
static int min3(int a, int b, int c)
{
if (a < b && a < c)
{
return a;
}
if (b < a && b < c)
{
return b;
}
return c;
}
static uint32_t levenshtein_matrix_calculate(edit **mat, const uint32_t *array1, uint32_t len1,
const uint32_t *array2, uint32_t len2)
{
uint32_t i, j;
for (j = 1; j <= len2; j++)
{
for (i = 1; i <= len1; i++)
{
uint32_t substitution_cost;
uint32_t del = 0, ins = 0, subst = 0;
uint32_t best;
if (array1[i - 1] == array2[j - 1])
{
substitution_cost = 0;
}
else
{
substitution_cost = 1;
}
del = mat[i - 1][j].score + 1; /* deletion */
ins = mat[i][j - 1].score + 1; /* insertion */
subst = mat[i - 1][j - 1].score + substitution_cost; /* substitution */
best = min3(del, ins, subst);
mat[i][j].score = best;
mat[i][j].arg1 = array1[i - 1];
mat[i][j].arg2 = array2[j - 1];
mat[i][j].pos = i - 1;
if (best == del)
{
mat[i][j].type = DELETION;
mat[i][j].prev = &mat[i - 1][j];
}
else if (best == ins)
{
mat[i][j].type = INSERTION;
mat[i][j].prev = &mat[i][j - 1];
}
else
{
if (substitution_cost > 0)
{
mat[i][j].type = SUBSTITUTION;
}
else
{
mat[i][j].type = NONE;
}
mat[i][j].prev = &mat[i - 1][j - 1];
}
}
}
return mat[len1][len2].score;
}
static edit **levenshtein_matrix_create(const uint32_t *array1, uint32_t len1, const uint32_t *array2,
uint32_t len2)
{
uint32_t i, j;
edit **mat = malloc((len1 + 1) * sizeof(edit *));
if (mat == NULL)
{
return NULL;
}
for (i = 0; i <= len1; i++)
{
mat[i] = malloc((len2 + 1) * sizeof(edit));
if (mat[i] == NULL)
{
for (j = 0; j < i; j++)
{
free(mat[j]);
}
free(mat);
return NULL;
}
}
for (i = 0; i <= len1; i++)
{
mat[i][0].score = i;
mat[i][0].prev = NULL;
mat[i][0].arg1 = 0;
mat[i][0].arg2 = 0;
}
for (j = 0; j <= len2; j++)
{
mat[0][j].score = j;
mat[0][j].prev = NULL;
mat[0][j].arg1 = 0;
mat[0][j].arg2 = 0;
}
return mat;
}
uint32_t levenshtein_distance(const uint32_t *array1, const uint32_t len1, const uint32_t *array2, const uint32_t len2, edit **script)
{
uint32_t i, distance;
edit **mat, *head;
/* If either string is empty, the distance is the other string's length */
if (len1 == 0)
{
return len2;
}
if (len2 == 0)
{
return len1;
}
/* Initialise the matrix */
mat = levenshtein_matrix_create(array1, len1, array2, len2);
if (!mat)
{
*script = NULL;
return 0;
}
/* Main algorithm */
distance = levenshtein_matrix_calculate(mat, array1, len1, array2, len2);
/* Read back the edit script */
*script = malloc(distance * sizeof(edit));
if (*script)
{
i = distance - 1;
for (head = &mat[len1][len2];
head->prev != NULL;
head = head->prev)
{
if (head->type != NONE)
{
memcpy(*script + i, head, sizeof(edit));
i--;
}
}
}
else
{
distance = 0;
}
/* Clean up */
for (i = 0; i <= len1; i++)
{
free(mat[i]);
}
free(mat);
return distance;
}
void print(const edit *e)
{
if (e->type == INSERTION)
{
printf("Insert %u", e->arg2);
}
else if (e->type == DELETION)
{
printf("Delete %u", e->arg1);
}
else
{
printf("Substitute %u for %u", e->arg2, e->arg1);
}
printf(" at %u\n", e->pos);
}
/*-------------------------------------------------------------------------*/
/* Sorts in place, returns the bubble sort distance between the input array
* and the sorted array.
*/
static int insertionSort(float *arr, int len)
{
int maxJ, i, j, swapCount = 0;
/* printf("enter insertionSort len=%d\n",len) ; */
if(len < 2)
{
return 0;
}
maxJ = len - 1;
for(i = len - 2; i >= 0; --i)
{
float val = arr[i];
for(j = i; j < maxJ && arr[j + 1] < val; ++j)
{
arr[j] = arr[j + 1];
}
arr[j] = val;
swapCount += (j - i);
}
return swapCount;
}
/*-------------------------------------------------------------------------*/
static int merge(float *from, float *to, int middle, int len)
{
int bufIndex, leftLen, rightLen, swaps ;
float *left, *right;
/* printf("enter merge\n") ; */
bufIndex = 0;
swaps = 0;
left = from;
right = from + middle;
rightLen = len - middle;
leftLen = middle;
while(leftLen && rightLen)
{
if(right[0] < left[0])
{
to[bufIndex] = right[0];
swaps += leftLen;
rightLen--;
right++;
}
else
{
to[bufIndex] = left[0];
leftLen--;
left++;
}
bufIndex++;
}
if(leftLen)
{
#pragma omp critical (MEMCPY)
memcpy(to + bufIndex, left, leftLen * sizeof(float));
}
else if(rightLen)
{
#pragma omp critical (MEMCPY)
memcpy(to + bufIndex, right, rightLen * sizeof(float));
}
return swaps;
}
/*-------------------------------------------------------------------------*/
/* Sorts in place, returns the bubble sort distance between the input array
* and the sorted array.
*/
static int mergeSort(float *x, float *buf, int len)
{
int swaps, half ;
/* printf("enter mergeSort\n") ; */
if(len < 10)
{
return insertionSort(x, len);
}
swaps = 0;
if(len < 2)
{
return 0;
}
half = len / 2;
swaps += mergeSort(x, buf, half);
swaps += mergeSort(x + half, buf + half, len - half);
swaps += merge(x, buf, half, len);
#pragma omp critical (MEMCPY)
memcpy(x, buf, len * sizeof(float));
return swaps;
}
/*-------------------------------------------------------------------------*/
static int getMs(float *data, int len) /* Assumes data is sorted */
{
int Ms = 0, tieCount = 0, i ;
/* printf("enter getMs\n") ; */
for(i = 1; i < len; i++)
{
if(data[i] == data[i - 1])
{
tieCount++;
}
else if(tieCount)
{
Ms += (tieCount * (tieCount + 1)) / 2;
tieCount = 0;
}
}
if(tieCount)
{
Ms += (tieCount * (tieCount + 1)) / 2;
}
return Ms;
}
/*-------------------------------------------------------------------------*/
/* This function calculates the Kendall correlation tau_b.
* The arrays arr1 should be sorted before this call, and arr2 should be
* re-ordered in lockstep. This can be done by calling
* qsort_floatfloat(len,arr1,arr2)
* for example.
* Note also that arr1 and arr2 will be modified, so if they need to
* be preserved, do so before calling this function.
*/
float kendallNlogN( float *arr1, float *arr2, int len )
{
int m1 = 0, m2 = 0, tieCount, swapCount, nPair, s, i ;
float cor ;
/* printf("enter kendallNlogN\n") ; */
if( len < 2 ) return (float)0 ;
nPair = len * (len - 1) / 2;
s = nPair;
tieCount = 0;
for(i = 1; i < len; i++)
{
if(arr1[i - 1] == arr1[i])
{
tieCount++;
}
else if(tieCount > 0)
{
insertionSort(arr2 + i - tieCount - 1, tieCount + 1);
m1 += tieCount * (tieCount + 1) / 2;
s += getMs(arr2 + i - tieCount - 1, tieCount + 1);
tieCount = 0;
}
}
if(tieCount > 0)
{
insertionSort(arr2 + i - tieCount - 1, tieCount + 1);
m1 += tieCount * (tieCount + 1) / 2;
s += getMs(arr2 + i - tieCount - 1, tieCount + 1);
}
swapCount = mergeSort(arr2, arr1, len);
m2 = getMs(arr2, len);
s -= (m1 + m2) + 2 * swapCount;
if( m1 < nPair && m2 < nPair )
cor = s / ( sqrtf((float)(nPair - m1)) * sqrtf((float)(nPair - m2)) ) ;
else
cor = 0.0f ;
return cor ;
}
/*-------------------------------------------------------------------------*/
/* This function uses a simple O(N^2) implementation. It probably has a
* smaller constant and therefore is useful in the small N case, and is also
* useful for testing the relatively complex O(N log N) implementation.
*/
float kendallSmallN( float *arr1, float *arr2, int len )
{
int m1 = 0, m2 = 0, s = 0, nPair, i, j ;
float cor ;
/* printf("enter kendallSmallN\n") ; */
for(i = 0; i < len; i++)
{
for(j = i + 1; j < len; j++)
{
if(arr2[i] > arr2[j])
{
if (arr1[i] > arr1[j])
{
s++;
}
else if(arr1[i] < arr1[j])
{
s--;
}
else
{
m1++;
}
}
else if(arr2[i] < arr2[j])
{
if (arr1[i] > arr1[j])
{
s--;
}
else if(arr1[i] < arr1[j])
{
s++;
}
else
{
m1++;
}
}
else
{
m2++;
if(arr1[i] == arr1[j])
{
m1++;
}
}
}
}
nPair = len * (len - 1) / 2;
if( m1 < nPair && m2 < nPair )
cor = s / ( sqrtf((float)(nPair - m1)) * sqrtf((float)(nPair - m2)) ) ;
else
cor = 0.0f ;
return cor ;
}
void rvereseArray(uint32_t *arr, uint32_t start, uint32_t end)
{
while (start < end)
{
int temp = arr[start];
arr[start] = arr[end];
arr[end] = temp;
start++;
end--;
}
}
uint32_t levenshtein_distance_topK(uint32_t *array1, uint32_t *array2, uint32_t size_k)
{
edit *script;
uint32_t distance;
distance = levenshtein_distance(array1, size_k, array2, size_k, &script);
free(script);
return distance;
}
uint32_t avg_mismatch_ranks_real_topK(uint32_t *array1, uint32_t *array2, uint32_t *array3, uint32_t size_k, uint32_t topk)
{
uint32_t v;
uint32_t mismatch = 0;
if(topk > size_k)
topk = size_k;
for(v = size_k - topk; v < size_k; v++)
{
if(array2[array3[v]] != array1[array3[v]])
mismatch++;
}
return mismatch ;
}
double avg_error_ranks_real_topK(uint32_t *array1, uint32_t *array2, uint32_t *array3, uint32_t size_k, uint32_t topk)
{
uint32_t v;
double error = 0.0f;
if(topk > size_k)
topk = size_k;
for(v = size_k - topk; v < size_k; v++)
{
error += abs(array2[array3[v]] - array1[array3[v]])/((double)array1[array3[v]]+1);
// printf("rank%d v%d rv_ref%d rv_cmp%d diff%d err%lf \n", v, array/3[v], array1[array3[v]], array2[array3[v]], abs(array2[array3[v]] - array1[array3[v]]), error);
}
return error / topk;
}
double avg_error_ranks_float_topK(float *array1, float *array2, uint32_t *array3, uint32_t size_k, uint32_t topk)
{
uint32_t v;
double error = 0.0f;
if(topk > size_k)
topk = size_k;
for(v = size_k - topk; v < size_k; v++)
{
// if(array1[v] > 0.0f)
if((double)array1[array3[v]] > 0.0f)
error += fabs((double)array2[array3[v]] - (double)array1[array3[v]])/(double)array1[array3[v]];
// printf("rank%d v%d rv_ref%lf rv_cmp%lf diff%lf err%.22lf \n", v, array3[v], array1[array3[v]], array2[array3[v]], fabs(array2[array3[v]] - array1[array3[v]]), error);
}
return error / topk;
}
uint32_t intersection_topK(uint32_t *array1, uint32_t *array2, uint32_t size_k, uint32_t topk)
{
uint32_t v;
uint32_t intersection = 0;
if(topk > size_k)
topk = size_k;
for(v = size_k - topk; v < size_k; v++)
{
// printf("%d %d %d %d\n",v,array1[v], array2[array1[v]], size_k-topk);
if(array2[array1[v]] >= size_k - topk)
intersection++;
}
return intersection;
}
struct PageRankCorrelationStats collectStatsPageRank_topK(struct PageRankStats *ref_stats, struct PageRankStats *stats, uint32_t *ref_rankedVertices_total, uint32_t *ref_rankedVertices_inverse, uint32_t *rankedVertices_inverse, uint32_t topk, uint32_t num_vertices, FILE *fptr, uint32_t verbose)
{
uint32_t v;
uint32_t u;
struct PageRankCorrelationStats pageRankCorrelationStats;
if(topk > num_vertices)
topk = num_vertices;
uint32_t *rankedVertices = (uint32_t *) my_malloc(topk * sizeof(uint32_t));
uint32_t *ref_rankedVertices = (uint32_t *) my_malloc(topk * sizeof(uint32_t));
float *rankedVerticesfloat = (float *) my_malloc(topk * sizeof(float));
float *ref_rankedVerticesfloat = (float *) my_malloc(topk * sizeof(float));
float *rankedVerticesReal = (float *) my_malloc(topk * sizeof(float));
float *ref_rankedVerticesReal = (float *) my_malloc(topk * sizeof(float));
uint32_t levenshtein_distance = 0;
float float_Kendall = 0.0f;
float real_Kendall = 0.0f;
uint32_t intersection = 0;
uint32_t mismatch = 0;
double avg_error_float = 0.0f;
double avg_error_relative = 0.0f;
for(u = 0, v = (num_vertices - topk); v < num_vertices; v++, u++)
{
rankedVertices[u] = stats->realRanks[v];
rankedVerticesfloat[u] = stats->pageRanks[stats->realRanks[v]];
rankedVerticesReal[u] = (float)stats->realRanks[v] / (float)1.0;
}
for(u = 0, v = (num_vertices - topk); v < num_vertices; v++, u++)
{
ref_rankedVertices[u] = ref_stats->realRanks[v];
ref_rankedVerticesfloat[u] = ref_stats->pageRanks[stats->realRanks[v]];
ref_rankedVerticesReal[u] = (float)ref_stats->realRanks[v] / (float)1.0;
}
levenshtein_distance = levenshtein_distance_topK(ref_rankedVertices, rankedVertices, topk);
float_Kendall = kendallSmallN(ref_rankedVerticesfloat, rankedVerticesfloat, topk);
real_Kendall = kendallSmallN(ref_rankedVerticesReal, rankedVerticesReal, topk);
intersection = intersection_topK(ref_rankedVertices_total, rankedVertices_inverse, num_vertices, topk);
avg_error_float = avg_error_ranks_float_topK(ref_stats->pageRanks, stats->pageRanks, ref_stats->realRanks, num_vertices, topk);
avg_error_relative = avg_error_ranks_real_topK(ref_rankedVertices_inverse, rankedVertices_inverse, ref_stats->realRanks, num_vertices, topk);
mismatch = avg_mismatch_ranks_real_topK(ref_rankedVertices_inverse, rankedVertices_inverse, ref_stats->realRanks, num_vertices, topk);
if(verbose > 0)
{
fprintf(stdout, "\n-----------------------------------------------------\n");
fprintf(stdout, "topk: %u \n", topk);
fprintf(stdout, "-----------------------------------------------------\n");
fprintf(stdout, "levenshtein_distance: %u \n", levenshtein_distance);
fprintf(stdout, "Rank float Kendall: %lf\n", float_Kendall);
fprintf(stdout, "Rank real Kendall: %lf\n", real_Kendall);
fprintf(stdout, "intersection: %u \n", intersection);
fprintf(stdout, "mismatch: %u \n", mismatch);
fprintf(stdout, "avg_error_float: %.22lf\n", avg_error_float);
fprintf(stdout, "avg_error_relative: %.22lf\n", avg_error_relative);
fprintf(stdout, "-----------------------------------------------------\n");
if(fptr)
{
fprintf(fptr, "\n-----------------------------------------------------\n");
fprintf(fptr, "topk: %u \n", topk);
fprintf(fptr, "-----------------------------------------------------\n");
fprintf(fptr, "levenshtein_distance: %u \n", levenshtein_distance);
fprintf(fptr, "Rank float Kendall: %lf\n", float_Kendall);
fprintf(fptr, "Rank real Kendall: %lf\n", real_Kendall);
fprintf(fptr, "intersection: %u \n", intersection);
fprintf(fptr, "mismatch: %u \n", mismatch);
fprintf(fptr, "avg_error_float: %lf\n", avg_error_float);
fprintf(fptr, "avg_error_relative: %lf\n", avg_error_relative);
fprintf(fptr, "-----------------------------------------------------\n");
}
}
pageRankCorrelationStats.levenshtein_distance = levenshtein_distance;
pageRankCorrelationStats.float_Kendall = float_Kendall;
pageRankCorrelationStats.real_Kendall = real_Kendall;
pageRankCorrelationStats.intersection = intersection;
pageRankCorrelationStats.mismatch = mismatch;
pageRankCorrelationStats.avg_error_float = avg_error_float;
pageRankCorrelationStats.avg_error_relative = avg_error_relative;
free(rankedVertices);
free(ref_rankedVertices);
free(rankedVerticesfloat);
free(ref_rankedVerticesfloat);
free(rankedVerticesReal);
free(ref_rankedVerticesReal);
return pageRankCorrelationStats;
}
void collectStatsPageRank( struct Arguments *arguments, struct PageRankStats *ref_stats, struct PageRankStats *stats, uint32_t trial)
{
uint32_t v;
uint32_t topk;
uint32_t x;
uint32_t chunk_x;
uint32_t chunk_num;
uint32_t *rankedVertices_inverse = (uint32_t *) my_malloc(ref_stats->num_vertices * sizeof(uint32_t));
uint32_t *ref_rankedVertices_inverse = (uint32_t *) my_malloc(ref_stats->num_vertices * sizeof(uint32_t));
uint32_t *ref_rankedVertices_total = (uint32_t *) my_malloc(ref_stats->num_vertices * sizeof(uint32_t));
uint32_t topK_array_size = 6;
uint32_t topK_array[] = {30, 100, 300, 1000, 5000, 10000} ;
struct PageRankCorrelationStats pageRankCorrelationStats_array[6];
struct PageRankCorrelationStats pageRankCorrelationStats;
struct PageRankCorrelationStats pageRankCorrelationStatsAvg;
struct PageRankCorrelationStats pageRankCorrelationStatsSum;
pageRankCorrelationStats.levenshtein_distance = 0;
pageRankCorrelationStats.float_Kendall = 0.0f;
pageRankCorrelationStats.real_Kendall = 0.0f;
pageRankCorrelationStats.intersection = 0;
pageRankCorrelationStats.mismatch = 0;
pageRankCorrelationStats.avg_error_float = 0.0f;
pageRankCorrelationStats.avg_error_relative = 0.0f;
pageRankCorrelationStatsSum.levenshtein_distance = 0;
pageRankCorrelationStatsSum.float_Kendall = 0.0f;
pageRankCorrelationStatsSum.real_Kendall = 0.0f;
pageRankCorrelationStatsSum.intersection = 0;
pageRankCorrelationStatsSum.mismatch = 0;
pageRankCorrelationStatsSum.avg_error_float = 0.0f;
pageRankCorrelationStatsSum.avg_error_relative = 0.0f;
pageRankCorrelationStatsAvg.levenshtein_distance = 0;
pageRankCorrelationStatsAvg.float_Kendall = 0.0f;
pageRankCorrelationStatsAvg.real_Kendall = 0.0f;
pageRankCorrelationStatsAvg.intersection = 0;
pageRankCorrelationStatsAvg.mismatch = 0;
pageRankCorrelationStatsAvg.avg_error_float = 0.0f;
pageRankCorrelationStatsAvg.avg_error_relative = 0.0f;
char *fname_txt = (char *) malloc((strlen(arguments->fnameb) + 50) * sizeof(char));
sprintf(fname_txt, "%s_%d_%d_%d_%d.%s", arguments->fnameb, arguments->algorithm, arguments->datastructure, trial, arguments->pushpull, "stats");
FILE *fptr;
fptr = fopen(fname_txt, "a+");
topk = arguments->binSize;
if(topk > ref_stats->num_vertices)
topk = ref_stats->num_vertices;
for(v = 0; v < stats->num_vertices; v++)
{
rankedVertices_inverse[stats->realRanks[v]] = v;
ref_rankedVertices_inverse[ref_stats->realRanks[v]] = v;
ref_rankedVertices_total[v] = ref_stats->realRanks[v];
}
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
pageRankCorrelationStats = collectStatsPageRank_topK(ref_stats, stats, ref_rankedVertices_total, ref_rankedVertices_inverse, rankedVertices_inverse, topK_array[x], ref_stats->num_vertices, fptr, 0);
pageRankCorrelationStats_array[x] = pageRankCorrelationStats;
}
if(arguments->verbosity > 0)
{
fprintf(stdout, "----------------------------------------------------------------------------------------------------------\n");
fprintf(stdout, "Top K ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(stdout, "%-14u ", topK_array[x]);
}
fprintf(stdout, "\n");
fprintf(stdout, "----------------------------------------------------------------------------------------------------------\n");
fprintf(stdout, "levenshtein_distance ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(stdout, "%-14u ", pageRankCorrelationStats_array[x].levenshtein_distance);
}
fprintf(stdout, "\n");
fprintf(stdout, "Rank float Kendall ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(stdout, "%-14lf ", pageRankCorrelationStats_array[x].float_Kendall);
}
fprintf(stdout, "\n");
fprintf(stdout, "Rank real Kendall ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(stdout, "%-14lf ", pageRankCorrelationStats_array[x].real_Kendall);
}
fprintf(stdout, "\n");
fprintf(stdout, "intersection ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(stdout, "%-14u ", pageRankCorrelationStats_array[x].intersection);
}
fprintf(stdout, "\n");
fprintf(stdout, "mismatch ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(stdout, "%-14u ", pageRankCorrelationStats_array[x].mismatch);
}
fprintf(stdout, "\n");
fprintf(stdout, "avg_error_float ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(stdout, "%-14lf ", pageRankCorrelationStats_array[x].avg_error_float);
}
fprintf(stdout, "\n");
fprintf(stdout, "avg_error_relative ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(stdout, "%-14lf ", pageRankCorrelationStats_array[x].avg_error_relative);
}
fprintf(stdout, "\n");
fprintf(stdout, "----------------------------------------------------------------------------------------------------------\n");
fprintf(fptr, "----------------------------------------------------------------------------------------------------------\n");
fprintf(fptr, "Top K ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(fptr, "%-14u ", topK_array[x]);
}
fprintf(fptr, "\n");
fprintf(fptr, "----------------------------------------------------------------------------------------------------------\n");
fprintf(fptr, "levenshtein_distance ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(fptr, "%-14u ", pageRankCorrelationStats_array[x].levenshtein_distance);
}
fprintf(fptr, "\n");
fprintf(fptr, "Rank float Kendall ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(fptr, "%-14lf ", pageRankCorrelationStats_array[x].float_Kendall);
}
fprintf(fptr, "\n");
fprintf(fptr, "Rank real Kendall ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(fptr, "%-14lf ", pageRankCorrelationStats_array[x].real_Kendall);
}
fprintf(fptr, "\n");
fprintf(fptr, "intersection ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(fptr, "%-14u ", pageRankCorrelationStats_array[x].intersection);
}
fprintf(fptr, "\n");
fprintf(fptr, "mismatch ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(fptr, "%-14u ", pageRankCorrelationStats_array[x].mismatch);
}
fprintf(fptr, "\n");
fprintf(fptr, "avg_error_float ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(fptr, "%-14lf ", pageRankCorrelationStats_array[x].avg_error_float);
}
fprintf(fptr, "\n");
fprintf(fptr, "avg_error_relative ");
for (x = 0; x < topK_array_size; ++x)
{
if(ref_stats->num_vertices < topK_array[x])
break;
fprintf(fptr, "%-14lf ", pageRankCorrelationStats_array[x].avg_error_relative);
}
fprintf(fptr, "\n");
fprintf(fptr, "----------------------------------------------------------------------------------------------------------\n");
}
chunk_x = 1000;
chunk_num = (ref_stats->num_vertices + chunk_x - 1) / chunk_x;
if(arguments->verbosity > 1)
{
if(chunk_num == 1)
{
chunk_num = 1;
chunk_x = ref_stats->num_vertices;
pageRankCorrelationStats = collectStatsPageRank_topK(ref_stats, stats, ref_rankedVertices_total, ref_rankedVertices_inverse, rankedVertices_inverse, chunk_x, ref_stats->num_vertices, fptr, 1);
pageRankCorrelationStatsSum.levenshtein_distance += pageRankCorrelationStats.levenshtein_distance;
pageRankCorrelationStatsSum.float_Kendall += pageRankCorrelationStats.float_Kendall;
pageRankCorrelationStatsSum.real_Kendall += pageRankCorrelationStats.real_Kendall;
pageRankCorrelationStatsSum.intersection += pageRankCorrelationStats.intersection;
pageRankCorrelationStatsSum.mismatch += pageRankCorrelationStats.mismatch;
pageRankCorrelationStatsSum.avg_error_float += pageRankCorrelationStats.avg_error_float;
pageRankCorrelationStatsSum.avg_error_relative += pageRankCorrelationStats.avg_error_relative;
}
else
{
for(x = 0; x < chunk_num; x++)
{
pageRankCorrelationStats = collectStatsPageRank_topK(ref_stats, stats, ref_rankedVertices_total, ref_rankedVertices_inverse, rankedVertices_inverse, chunk_x, (ref_stats->num_vertices - (chunk_x * x)), fptr, 0);
pageRankCorrelationStatsSum.levenshtein_distance += pageRankCorrelationStats.levenshtein_distance;
pageRankCorrelationStatsSum.float_Kendall += pageRankCorrelationStats.float_Kendall;
pageRankCorrelationStatsSum.real_Kendall += pageRankCorrelationStats.real_Kendall;
pageRankCorrelationStatsSum.intersection += pageRankCorrelationStats.intersection;
pageRankCorrelationStatsSum.mismatch += pageRankCorrelationStats.mismatch;
pageRankCorrelationStatsSum.avg_error_float += pageRankCorrelationStats.avg_error_float;
pageRankCorrelationStatsSum.avg_error_relative += pageRankCorrelationStats.avg_error_relative;
}
}
}
pageRankCorrelationStatsAvg.levenshtein_distance = pageRankCorrelationStatsSum.levenshtein_distance / chunk_num;
pageRankCorrelationStatsAvg.float_Kendall = pageRankCorrelationStatsSum.float_Kendall / chunk_num;
pageRankCorrelationStatsAvg.real_Kendall = pageRankCorrelationStatsSum.real_Kendall / chunk_num;
pageRankCorrelationStatsAvg.intersection = pageRankCorrelationStatsSum.intersection / chunk_num;
pageRankCorrelationStatsAvg.mismatch = pageRankCorrelationStatsSum.mismatch / chunk_num;
pageRankCorrelationStatsAvg.avg_error_float = pageRankCorrelationStatsSum.avg_error_float / chunk_num;
pageRankCorrelationStatsAvg.avg_error_relative = pageRankCorrelationStatsSum.avg_error_relative / chunk_num;
pageRankCorrelationStats = collectStatsPageRank_topK(ref_stats, stats, ref_rankedVertices_total, ref_rankedVertices_inverse, rankedVertices_inverse, topk, ref_stats->num_vertices, fptr, 1);
fprintf(stdout, "-----------------------------------------------------\n");
fprintf(stdout, "Avg (Sum(bin)*n)/n: (Sum(%u)*%u)/%u \n", chunk_x, chunk_num, chunk_num);
fprintf(stdout, "-----------------------------------------------------\n");
fprintf(stdout, "levenshtein_distance: %u \n", pageRankCorrelationStatsAvg.levenshtein_distance);
fprintf(stdout, "Rank float Kendall: %lf\n", pageRankCorrelationStatsAvg.float_Kendall);
fprintf(stdout, "Rank real Kendall: %lf\n", pageRankCorrelationStatsAvg.real_Kendall);
fprintf(stdout, "intersection: %u \n", pageRankCorrelationStatsAvg.intersection);
fprintf(stdout, "mismatch: %u \n", pageRankCorrelationStatsAvg.mismatch);
fprintf(stdout, "avg_error_float: %lf\n", pageRankCorrelationStatsAvg.avg_error_float);
fprintf(stdout, "avg_error_relative: %lf\n", pageRankCorrelationStatsAvg.avg_error_relative);
fprintf(stdout, "-----------------------------------------------------\n");
fprintf(stdout, "-----------------------------------------------------\n");
fprintf(stdout, "numThreads: %u \n", arguments->pre_numThreads);
fprintf(stdout, "Time (S): %lf\n", stats->time_total);
fprintf(stdout, "Iterations: %u \n", stats->iterations);
fprintf(stdout, "-----------------------------------------------------\n");
if(arguments->verbosity > 0)
{
fprintf(fptr, "-----------------------------------------------------\n");
fprintf(fptr, "Avg (Sum_n(bins))/n: (Sum_%u(%u)/%u \n", chunk_num, chunk_x, chunk_num);
fprintf(fptr, "-----------------------------------------------------\n");
fprintf(fptr, "levenshtein_distance: %u \n", pageRankCorrelationStatsAvg.levenshtein_distance);
fprintf(fptr, "Rank float Kendall: %lf\n", pageRankCorrelationStatsAvg.float_Kendall);
fprintf(fptr, "Rank real Kendall: %lf\n", pageRankCorrelationStatsAvg.real_Kendall);
fprintf(fptr, "intersection: %u \n", pageRankCorrelationStatsAvg.intersection);
fprintf(fptr, "mismatch: %u \n", pageRankCorrelationStatsAvg.mismatch);
fprintf(fptr, "avg_error_float: %lf\n", pageRankCorrelationStatsAvg.avg_error_float);
fprintf(fptr, "avg_error_relative: %lf\n", pageRankCorrelationStatsAvg.avg_error_relative);
fprintf(fptr, "-----------------------------------------------------\n");
fprintf(fptr, "-----------------------------------------------------\n");
fprintf(fptr, "numThreads: %u \n", arguments->pre_numThreads);
fprintf(fptr, "Time (S): %lf\n", stats->time_total);
fprintf(fptr, "Iterations: %u \n", stats->iterations);
fprintf(fptr, "-----------------------------------------------------\n");
if(arguments->verbosity > 2)
{
fprintf(fptr, " ----------------------------------------------------- ");
fprintf(fptr, " -----------------------------------------------------\n");
fprintf(fptr, "| %-14s | %-14s | %-17s | ", "Ref Rank", "Vertex", "PageRank");
fprintf(fptr, "| %-14s | %-14s | %-17s | \n", "Rank", "Vertex", "PageRank");
fprintf(fptr, " ----------------------------------------------------- ");
fprintf(fptr, " -----------------------------------------------------\n");
for(v = (ref_stats->num_vertices - topk); v < ref_stats->num_vertices; v++)
{
// fprintf(fptr,"rank %u vertex %u pr %.22f \n", v, ref_stats->realRanks[v], ref_stats->pageRanks[ref_stats->realRanks[v]]);
fprintf(fptr, "| %-14u | %-14u | %-10.15lf | ", v, ref_stats->realRanks[v], ref_stats->pageRanks[ref_stats->realRanks[v]]);
fprintf(fptr, "| %-14u | %-14u | %-10.15lf | \n", v, stats->realRanks[v], stats->pageRanks[stats->realRanks[v]]);
}
fprintf(fptr, " ----------------------------------------------------- ");
fprintf(fptr, " -----------------------------------------------------\n");
}
}
fclose(fptr);
free(fname_txt);
free(ref_rankedVertices_total);
free(rankedVertices_inverse);
free(ref_rankedVertices_inverse);
}
// void collectStats(struct Arguments *arguments)
// {
// struct Timer *timer = (struct Timer *) malloc(sizeof(struct Timer));
// // printf("Filename : %s \n",fnameb);
// printf(" *****************************************************\n");
// printf(" -----------------------------------------------------\n");
// printf("| %-51s | \n", "Collect Stats Process");
// printf(" -----------------------------------------------------\n");
// Start(timer);
// struct GraphCSR *graphStats = graphCSRPreProcessingStep (arguments);
// uint32_t *histogram_in = (uint32_t *) my_malloc(sizeof(uint32_t) * arguments->binSize);
// uint32_t *histogram_out = (uint32_t *) my_malloc(sizeof(uint32_t) * arguments->binSize);
// uint32_t i = 0;
// #pragma omp parallel for
// for(i = 0 ; i < arguments->binSize; i++)
// {
// histogram_in[i] = 0;
// histogram_out[i] = 0;
// }
// char *fname_txt = (char *) malloc((strlen(arguments->fnameb) + 20) * sizeof(char));
// char *fname_stats_out = (char *) malloc((strlen(arguments->fnameb) + 20) * sizeof(char));
// char *fname_stats_in = (char *) malloc((strlen(arguments->fnameb) + 20) * sizeof(char));
// char *fname_adjMat = (char *) malloc((strlen(arguments->fnameb) + 20) * sizeof(char));
// fname_txt = strcpy (fname_txt, arguments->fnameb);
// fname_adjMat = strcpy (fname_adjMat, arguments->fnameb);
// fname_adjMat = strcat (fname_adjMat, ".bin-adj-SM.dat");// out-degree
// if(arguments->lmode == 1)
// {
// fname_stats_in = strcat (fname_txt, ".in-degree.dat");// in-degree
// countHistogram(graphStats, histogram_in, arguments->binSize, arguments->inout_degree);
// printHistogram(fname_stats_in, histogram_in, arguments->binSize);
// }
// else if(arguments->lmode == 2)
// {
// fname_stats_out = strcat (fname_txt, ".out-degree.dat");// out-degree
// countHistogram(graphStats, histogram_out, arguments->binSize, arguments->inout_degree);
// printHistogram(fname_stats_out, histogram_out, arguments->binSize);
// }
// printSparseMatrixList(fname_adjMat, graphStats, arguments->binSize);
// Stop(timer);
// printf(" -----------------------------------------------------\n");
// printf("| %-51s | \n", "Collect Stats Complete");
// printf(" -----------------------------------------------------\n");
// printf("| %-51f | \n", Seconds(timer));
// printf(" -----------------------------------------------------\n");
// printf(" *****************************************************\n");
// free(timer);
// graphCSRFree(graphStats);
// free(histogram_in);
// free(histogram_out);
// free(fname_txt);
// free(fname_stats_out);
// free(fname_stats_in);
// free(fname_adjMat);
// }
// void countHistogram(struct GraphCSR *graphStats, uint32_t *histogram, uint32_t binSize, uint32_t inout_degree)
// {
// uint32_t v;
// uint32_t index;
// #pragma omp parallel for
// for(v = 0; v < graphStats->num_vertices; v++)
// {
// index = v / ((graphStats->num_vertices / binSize) + 1);
// if(inout_degree == 1)
// {
// #pragma omp atomic update
// histogram[index] += graphStats->vertices->in_degree[v];
// }
// else if(inout_degree == 2)
// {
// #pragma omp atomic update
// histogram[index] += graphStats->vertices->out_degree[v];
// }
// }
// }
// void printHistogram(const char *fname_stats, uint32_t *histogram, uint32_t binSize)
// {
// uint32_t index;
// FILE *fptr;
// fptr = fopen(fname_stats, "w");
// for(index = 0; index < binSize; index++)
// {
// fprintf(fptr, "%u %u \n", index, histogram[index]);
// }
// fclose(fptr);
// }
// void printSparseMatrixList(const char *fname_stats, struct GraphCSR *graphStats, uint32_t binSize)
// {
// uint32_t *SparseMatrix = (uint32_t *) my_malloc(sizeof(uint32_t) * binSize * binSize);
// uint32_t x;
// uint32_t y;
// #pragma omp parallel for private(y) shared(SparseMatrix)
// for(x = 0; x < binSize; x++)
// {
// for(y = 0; y < binSize; y++)
// {
// SparseMatrix[(binSize * y) + x] = 0;
// }
// }
// uint32_t i;
// #pragma omp parallel for
// for(i = 0; i < graphStats->num_edges; i++)
// {
// uint32_t src;
// uint32_t dest;
// src = graphStats->sorted_edges_array->edges_array_src[i] / ((graphStats->num_vertices / binSize) + 1);
// dest = graphStats->sorted_edges_array->edges_array_dest[i] / ((graphStats->num_vertices / binSize) + 1);
// #pragma omp atomic update
// SparseMatrix[(binSize * dest) + src]++;
// }
// FILE *fptr;
// fptr = fopen(fname_stats, "w");
// for(x = 0; x < binSize; x++)
// {
// for(y = 0; y < binSize; y++)
// {
// fprintf(fptr, "%u %u %u\n", x, y, SparseMatrix[(binSize * y) + x]);
// }
// }
// fclose(fptr);
// free(SparseMatrix);
// }
|
Helm3d_27pt.h | #include "math.h"
#include <complex.h>
#ifdef SINGLE_PRECISION
#define numeric float;
#else
#define numeric double;
#endif
typedef double _Complex cmplx_type;
#ifdef WNCMPLX
typedef cmplx_type wn_type;
#else
typedef double wn_type;
#endif
#define PI M_PI
#define CMPLX(x, y) ((double complex)((double)(x) + _Complex_I * (double)(y)))
#define IDX1D(a,b,m,n) ((a) + (b)*(m))
#define IDX1D3(a,b,c,m,n,p) ((a) + (b)*(m) + (c)*(m)*(n))
#define IDX1D4(a,b,c,d,m,n,p) ((a) + (b)*(m) + (c)*(m)*(n) + (d)*(m)*(n)*(p))
/*
void print_c(const double complex c)
{
mexPrintf("%3.15e + i%3.15e ",creal(c),cimag(c));
}
void print_nbrhdc(const double complex * c)
{
for(int k=0; k<3; k++)
{
for(int j=0; j<3; j++)
{
for(int i=0; i<3; i++)
{
print_c(c[IDX1D3(i,j,k,3,3,3)]); mexPrintf("\n");
}
mexPrintf("\n");
}
mexPrintf("\n\n");
}
}
void print_nbrhd(const double * c)
{
for(int k=0; k<3; k++)
{
for(int j=0; j<3; j++)
{
for(int i=0; i<3; i++)
{
mexPrintf("%3.15e ",c[IDX1D3(i,j,k,3,3,3)]); mexPrintf("\n");
}
mexPrintf("\n");
}
mexPrintf("\n\n");
}
}
*/
#define xyzloop_updown(...) for(k=0; k<nz; k++) \
{ \
pmlzfunc(&p,&padj,k,nz,npmlz_lo,npmlz_hi,pmlz_alloc); \
pmlz_alloc = 1; \
p.z_hasL = k>0; p.z_hasR = k < nz-1; \
for(j=0; j<ny; j++) \
{ \
p.y_hasL = j > 0; p.y_hasR = j < ny-1; \
pmlyfunc(&p,&padj,j,ny,npmly_lo,npmly_hi,pmly_alloc); \
pmly_alloc = 1; \
for(i=0; i<nx; i++) \
{ \
p.x_hasL = i > 0; p.x_hasR = i < nx-1; \
pmlxfunc(&p,&padj,i,nx,npmlx_lo,npmlx_hi,pmlx_alloc,true); \
pmlx_alloc = 1; \
__VA_ARGS__ \
} \
pmlx_alloc = 0; \
} \
pmly_alloc = 0; \
} \
pmlz_alloc = 0; \
for(k=nz-1; k>=0; k--) \
{ \
pmlzfunc(&p,&padj,k,nz,npmlz_lo,npmlz_hi,pmlz_alloc); \
pmlz_alloc = 1; \
p.z_hasL = k>0; p.z_hasR = k < nz-1; \
for(j=ny-1; j>=0; j--) \
{ \
p.y_hasL = j > 0; p.y_hasR = j < ny-1; \
pmlyfunc(&p,&padj,j,ny,npmly_lo,npmly_hi,pmly_alloc); \
pmly_alloc = 1; \
for(i=nx-1; i>=0; i--) \
{ \
p.x_hasL = i > 0; p.x_hasR = i < nx-1; \
pmlxfunc(&p,&padj,i,nx,npmlx_lo,npmlx_hi,pmlx_alloc,false); \
pmlx_alloc = 1; \
__VA_ARGS__ \
} \
pmlx_alloc = 0; \
} \
pmly_alloc = 0; \
} \
pmlz_alloc = 0;
#define xyzloop_up(...) for(k=0; k<nz; k++) \
{ \
pmlzfunc(&p,&padj,k,nz,npmlz_lo,npmlz_hi,pmlz_alloc); \
pmlz_alloc = 1; \
p.z_hasL = k > 0; p.z_hasR = k < nz-1; \
for(j=0; j<ny; j++) \
{ \
p.y_hasL = j > 0; p.y_hasR = j < ny-1; \
pmlyfunc(&p,&padj,j,ny,npmly_lo,npmly_hi,pmly_alloc); \
pmly_alloc = 1; \
for(i=0; i<nx; i++) \
{ \
p.x_hasL = i > 0; p.x_hasR = i < nx-1; \
pmlxfunc(&p,&padj,i,nx,npmlx_lo,npmlx_hi,pmlx_alloc,1); \
pmlx_alloc = 1; \
__VA_ARGS__ \
} \
pmlx_alloc = 0; \
} \
pmly_alloc = 0; \
}
#define xyzloop_down(...) for(k=nz-1; k>=0; k--) \
{ \
pmlzfunc(&p,&padj,k,nz,npmlz_lo,npmlz_hi,pmlz_alloc); \
pmlz_alloc = 1; \
p.z_hasL = k > 0; p.z_hasR = k < nz-1; \
for(j=ny-1; j>=0; j--) \
{ \
pmlyfunc(&p,&padj,j,ny,npmly_lo,npmly_hi,pmly_alloc); \
p.y_hasL = j > 0; p.y_hasR = j < ny-1; \
pmly_alloc = 1; \
for(i=nx-1; i>=0; i--) \
{ \
p.x_hasL = i > 0; p.x_hasR = i < nx-1; \
pmlxfunc(&p,&padj,i,nx,npmlx_lo,npmlx_hi,pmlx_alloc,0); \
pmlx_alloc = 1; \
__VA_ARGS__ \
} \
pmlx_alloc = 0; \
} \
pmly_alloc = 0; \
}
/*
The current coordinate in each direction is denoted as N
+1/-1 in the corresponding coordinate is denoted as P/M, respectively
So, e.g.,
NNN - current point (x,y,z)
MNN - (x-1,y,z)
PNN - (x+1,y,z)
MNP - (x-1,y,z+1)
PMP - (x+1,y-1,z+1)
etc.
*/
int const MMM = 0;
int const NMM = 1;
int const PMM = 2;
int const MNM = 3;
int const NNM = 4;
int const PNM = 5;
int const MPM = 6;
int const NPM = 7;
int const PPM = 8;
int const MMN = 9;
int const NMN = 10;
int const PMN = 11;
int const MNN = 12;
int const NNN = 13;
int const PNN = 14;
int const MPN = 15;
int const NPN = 16;
int const PPN = 17;
int const MMP = 18;
int const NMP = 19;
int const PMP = 20;
int const MNP = 21;
int const NNP = 22;
int const PNP = 23;
int const MPP = 24;
int const NPP = 25;
int const PPP = 26;
/*
Absolute constants related to the stencil
*/
double const W1 = (1.8395262e-5);
double const W2 = (0.296692333333333);
double const W3 = (0.027476150000000);
double const WM1 = (0.49649658);
double const WM2 = (0.075168750000000);
double const WM3 = (0.004373916666667);
double const WM4 = (5.690375e-07);
#ifdef DERIV
double const non_deriv_mode = 0;
#else
double const non_deriv_mode = 1;
#endif
/*
Run time constants related to the stencil
*/
struct _coef_consts {
const double wn_coef;
const double wn_xcoef;
const double wn_ycoef;
const double wn_zcoef;
const double pmlx_coef;
const double pmly_coef;
const double pmlz_coef;
const double xz_coef;
const double xy_coef;
const double yz_coef;
const double W3A_2;
};
typedef struct _coef_consts coef_consts;
/*
Structs for holding information of pml function values in each direction
*/
struct _pml_info {
double complex pmlx_lo;
double complex pmlx_hi;
double complex pmlx;
double complex pmly_lo;
double complex pmly_hi;
double complex pmly;
double complex pmlz_lo;
double complex pmlz_hi;
double complex pmlz;
int x_hasL;
int x_hasR;
int y_hasL;
int y_hasR;
int z_hasL;
int z_hasR;
};
typedef struct _pml_info pml_info;
struct _pml_adj_info {
double complex pmlx_lo_window[3];
double complex pmlx_hi_window[3];
double complex pmly_lo_window[3];
double complex pmly_hi_window[3];
double complex pmlz_lo_window[3];
double complex pmlz_hi_window[3];
};
typedef struct _pml_adj_info pml_adj_info;
#define MMM_BDRY(...) __builtin_expect(p.x_hasL && p.y_hasL && p.z_hasL,1) ? ( __VA_ARGS__ ) : 0
#define NMM_BDRY(...) __builtin_expect(p.y_hasL && p.z_hasL,1) ? ( __VA_ARGS__ ) : 0
#define PMM_BDRY(...) __builtin_expect(p.x_hasR && p.y_hasL && p.z_hasL,1) ? ( __VA_ARGS__ ) : 0
#define MNM_BDRY(...) __builtin_expect(p.x_hasL && p.z_hasL,1) ? ( __VA_ARGS__ ) : 0
#define NNM_BDRY(...) __builtin_expect(p.z_hasL,1) ? ( __VA_ARGS__) : 0
#define PNM_BDRY(...) __builtin_expect(p.x_hasR && p.z_hasL,1) ? ( __VA_ARGS__) : 0
#define MPM_BDRY(...) __builtin_expect(p.x_hasL && p.y_hasR && p.z_hasL,1) ? ( __VA_ARGS__) : 0
#define NPM_BDRY(...) __builtin_expect(p.y_hasR && p.z_hasL,1) ? ( __VA_ARGS__) : 0
#define PPM_BDRY(...) __builtin_expect(p.x_hasR && p.y_hasR && p.z_hasL,1) ? ( __VA_ARGS__) : 0
#define MMN_BDRY(...) __builtin_expect(p.x_hasL && p.y_hasL,1) ? ( __VA_ARGS__) : 0
#define NMN_BDRY(...) __builtin_expect(p.y_hasL,1) ? ( __VA_ARGS__) : 0
#define PMN_BDRY(...) __builtin_expect(p.x_hasR && p.y_hasL,1) ? ( __VA_ARGS__) : 0
#define MNN_BDRY(...) __builtin_expect(p.x_hasL,1) ? ( __VA_ARGS__) : 0
#define PNN_BDRY(...) __builtin_expect(p.x_hasR,1) ? ( __VA_ARGS__) : 0
#define MPN_BDRY(...) __builtin_expect(p.x_hasL && p.y_hasR,1) ? ( __VA_ARGS__) : 0
#define NPN_BDRY(...) __builtin_expect(p.y_hasR,1) ? ( __VA_ARGS__) : 0
#define PPN_BDRY(...) __builtin_expect(p.x_hasR && p.y_hasR,1) ? ( __VA_ARGS__) : 0
#define MMP_BDRY(...) __builtin_expect(p.x_hasL && p.y_hasL && p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define NMP_BDRY(...) __builtin_expect(p.y_hasL && p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define PMP_BDRY(...) __builtin_expect(p.x_hasR && p.y_hasL && p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define MNP_BDRY(...) __builtin_expect(p.x_hasL && p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define NNP_BDRY(...) __builtin_expect(p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define PNP_BDRY(...) __builtin_expect(p.x_hasR && p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define MPP_BDRY(...) __builtin_expect(p.x_hasL && p.y_hasR && p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define NPP_BDRY(...) __builtin_expect(p.y_hasR && p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define PPP_BDRY(...) __builtin_expect(p.x_hasR && p.y_hasR && p.z_hasR,1) ? ( __VA_ARGS__) : 0
#define MMM_IF(...) if(__builtin_expect(p.x_hasL && p.y_hasL && p.z_hasL,1)) { __VA_ARGS__ }
#define NMM_IF(...) if(__builtin_expect(p.y_hasL && p.z_hasL,1)){ __VA_ARGS__ }
#define PMM_IF(...) if(__builtin_expect(p.x_hasR && p.y_hasL && p.z_hasL,1)){ __VA_ARGS__ }
#define MNM_IF(...) if(__builtin_expect(p.x_hasL && p.z_hasL,1)){ __VA_ARGS__ }
#define NNM_IF(...) if(__builtin_expect(p.z_hasL,1)) { __VA_ARGS__ }
#define PNM_IF(...) if(__builtin_expect(p.x_hasR && p.z_hasL,1)){ __VA_ARGS__ }
#define MPM_IF(...) if(__builtin_expect(p.x_hasL && p.y_hasR && p.z_hasL,1)){ __VA_ARGS__ }
#define NPM_IF(...) if(__builtin_expect(p.y_hasR && p.z_hasL,1)) { __VA_ARGS__ }
#define PPM_IF(...) if(__builtin_expect(p.x_hasR && p.y_hasR && p.z_hasL,1)) { __VA_ARGS__ }
#define MMN_IF(...) if(__builtin_expect(p.x_hasL && p.y_hasL,1)){ __VA_ARGS__ }
#define NMN_IF(...) if(__builtin_expect(p.y_hasL,1)){ __VA_ARGS__ }
#define PMN_IF(...) if(__builtin_expect(p.x_hasR && p.y_hasL,1)){ __VA_ARGS__ }
#define MNN_IF(...) if(__builtin_expect(p.x_hasL,1)){ __VA_ARGS__ }
#define PNN_IF(...) if(__builtin_expect(p.x_hasR,1)){ __VA_ARGS__ }
#define MPN_IF(...) if(__builtin_expect(p.x_hasL && p.y_hasR,1)){ __VA_ARGS__ }
#define NPN_IF(...) if(__builtin_expect(p.y_hasR,1)){ __VA_ARGS__ }
#define PPN_IF(...) if(__builtin_expect(p.x_hasR && p.y_hasR,1)){ __VA_ARGS__ }
#define MMP_IF(...) if(__builtin_expect(p.x_hasL && p.y_hasL && p.z_hasR,1)){ __VA_ARGS__ }
#define NMP_IF(...) if(__builtin_expect(p.y_hasL && p.z_hasR,1)){ __VA_ARGS__ }
#define PMP_IF(...) if(__builtin_expect(p.x_hasR && p.y_hasL && p.z_hasR,1)){ __VA_ARGS__ }
#define MNP_IF(...) if(__builtin_expect(p.x_hasL && p.z_hasR,1)){ __VA_ARGS__ }
#define NNP_IF(...) if(__builtin_expect(p.z_hasR,1)){ __VA_ARGS__ }
#define PNP_IF(...) if(__builtin_expect(p.x_hasR && p.z_hasR,1)){ __VA_ARGS__ }
#define MPP_IF(...) if(__builtin_expect(p.x_hasL && p.y_hasR && p.z_hasR,1)){ __VA_ARGS__ }
#define NPP_IF(...) if(__builtin_expect(p.y_hasR && p.z_hasR,1)){ __VA_ARGS__ }
#define PPP_IF(...) if(__builtin_expect(p.x_hasR && p.y_hasR && p.z_hasR,1)){ __VA_ARGS__ }
/********************************
PML related functions
********************************/
inline double gamma_func_lower( double x, double nx, double npml_bot, double npml_top )
{
return cos(PI*((x-1)* nx/(2*(nx+1)*npml_bot)));
}
inline double gamma_func_upper( double x, double nx, double npml_bot, double npml_top )
{
return cos(PI*((1-(x-1)/(nx+1)) * nx/(2*npml_top)));
}
/*
There are two functions associated to the pml, denoted pml_func_lower and pml_func_upper
x - in the range [1,nx]
nx - length of domain, including pml
npml_bot - number of pml pts on the bottom of the domain
npml_top - number of pml pts on the top of the domain
*/
inline double complex pml_func_lower( double x, double nx, double npml_bot, double npml_top )
{
double gamma, gammap1;
if (x <= npml_bot)
{
gammap1 = (x==npml_bot) ? 0 : gamma_func_lower(x+1,nx,npml_bot,npml_top);
gamma = gamma_func_lower(x,nx,npml_bot,npml_top);
}
else{
if( (x > npml_bot) && (x <= nx+2-npml_bot) )
{
gamma = 0;
gammap1 = (x==nx+2-npml_bot) ? gamma_func_upper(x+1,nx,npml_bot,npml_top) : 0;
}
else
{
gamma = gamma_func_upper(x,nx,npml_bot,npml_top);
gammap1 = gamma_func_upper(x+1,nx,npml_bot,npml_top);
}
}
return (2.0 + 0.0*I)/( (2.0 - gammap1*(gammap1+gamma)) + (3.0*gammap1+gamma)*I);
}
inline double complex pml_func_upper( double x, double nx, double npml_bot, double npml_top )
{
double gammap2, gammap1;
if (x <= npml_bot)
{
gammap1 = (x==npml_bot) ? 0 : gamma_func_lower(x+1,nx,npml_bot,npml_top);
gammap2 = (x >= npml_bot-1) ? 0 : gamma_func_lower(x+2,nx,npml_bot,npml_top);
}
else{
if( (x > npml_bot) && (x <= nx+2-npml_bot) )
{
gammap2 = (x>=nx+1-npml_bot) ? gamma_func_upper(x+2,nx,npml_bot,npml_top) : 0;
gammap1 = (x==nx+2-npml_bot) ? gamma_func_upper(x+1,nx,npml_bot,npml_top) : 0;
}
else
{
gammap2 = gamma_func_upper(x+2,nx,npml_bot,npml_top);
gammap1 = gamma_func_upper(x+1,nx,npml_bot,npml_top);
}
}
return (2.0 + 0.0*I)/( (2.0 - gammap1*(gammap1+gammap2)) + (3.0*gammap1+gammap2)*I);
}
inline void pmlzfunc(pml_info * p, pml_adj_info * padj, int k, int nz, int npmlz_lo, int npmlz_hi, int pmlz_alloc)
{
#ifdef ADJ
padj->pmlz_lo_window[0] = pml_func_lower(k,nz,npmlz_lo,npmlz_hi);
padj->pmlz_hi_window[0] = pml_func_upper(k,nz,npmlz_lo,npmlz_hi);
padj->pmlz_lo_window[1] = pml_func_lower(k+1,nz,npmlz_lo,npmlz_hi);
padj->pmlz_hi_window[1] = pml_func_upper(k+1,nz,npmlz_lo,npmlz_hi);
padj->pmlz_lo_window[2] = pml_func_lower(k+2,nz,npmlz_lo,npmlz_hi);
padj->pmlz_hi_window[2] = pml_func_upper(k+2,nz,npmlz_lo,npmlz_hi);
p->pmlz = padj->pmlz_lo_window[1] + padj->pmlz_hi_window[1];
#else
p->pmlz_lo = pml_func_lower(k+1,nz,npmlz_lo, npmlz_hi);
p->pmlz_hi = pml_func_upper(k+1,nz,npmlz_lo, npmlz_hi);
p->pmlz = p->pmlz_lo + p->pmlz_hi;
#endif
}
inline void pmlyfunc(pml_info * p, pml_adj_info * padj, int j, int ny, int npmly_lo, int npmly_hi, int pmly_alloc)
{
#ifdef ADJ
padj->pmly_lo_window[0] = pml_func_lower(j,ny,npmly_lo,npmly_hi);
padj->pmly_hi_window[0] = pml_func_upper(j,ny,npmly_lo,npmly_hi);
padj->pmly_lo_window[1] = pml_func_lower(j+1,ny,npmly_lo,npmly_hi);
padj->pmly_hi_window[1] = pml_func_upper(j+1,ny,npmly_lo,npmly_hi);
padj->pmly_lo_window[2] = pml_func_lower(j+2,ny,npmly_lo,npmly_hi);
padj->pmly_hi_window[2] = pml_func_upper(j+2,ny,npmly_lo,npmly_hi);
p->pmly = padj->pmly_lo_window[1] + padj->pmly_hi_window[1];
#else
p->pmly_lo = pml_func_lower(j+1,ny,npmly_lo, npmly_hi);
p->pmly_hi = pml_func_upper(j+1,ny,npmly_lo, npmly_hi);
p->pmly = p->pmly_lo + p->pmly_hi;
#endif
}
inline void pmlxfunc(pml_info * p, pml_adj_info * padj, int i, int nx, int npmlx_lo, int npmlx_hi, int pmlx_alloc, int i_incr)
{
#ifdef ADJ
if(!pmlx_alloc)
{
padj->pmlx_lo_window[0] = pml_func_lower(i,nx,npmlx_lo,npmlx_hi);
padj->pmlx_hi_window[0] = pml_func_upper(i,nx,npmlx_lo,npmlx_hi);
padj->pmlx_lo_window[1] = pml_func_lower(i+1,nx,npmlx_lo,npmlx_hi);
padj->pmlx_hi_window[1] = pml_func_upper(i+1,nx,npmlx_lo,npmlx_hi);
padj->pmlx_lo_window[2] = pml_func_lower(i+2,nx,npmlx_lo,npmlx_hi);
padj->pmlx_hi_window[2] = pml_func_upper(i+2,nx,npmlx_lo,npmlx_hi);
}
else
{
if(i_incr)
{
padj->pmlx_lo_window[0] = padj->pmlx_lo_window[1];
padj->pmlx_lo_window[1] = padj->pmlx_lo_window[2];
padj->pmlx_lo_window[2] = pml_func_lower(i+2,nx,npmlx_lo,npmlx_hi);
padj->pmlx_hi_window[0] = padj->pmlx_hi_window[1];
padj->pmlx_hi_window[1] = padj->pmlx_hi_window[2];
padj->pmlx_hi_window[2] = pml_func_upper(i+2,nx,npmlx_lo,npmlx_hi);
}
else
{
padj->pmlx_lo_window[2] = padj->pmlx_lo_window[1];
padj->pmlx_lo_window[1] = padj->pmlx_lo_window[0];
padj->pmlx_lo_window[0] = pml_func_lower(i,nx,npmlx_lo,npmlx_hi);
padj->pmlx_hi_window[2] = padj->pmlx_hi_window[1];
padj->pmlx_hi_window[1] = padj->pmlx_hi_window[0];
padj->pmlx_hi_window[0] = pml_func_upper(i,nx,npmlx_lo,npmlx_hi);
}
}
p->pmlx = padj->pmlx_lo_window[1] + padj->pmlx_hi_window[1];
#else
p->pmlx_lo = pml_func_lower(i+1,nx,npmlx_lo, npmlx_hi);
p->pmlx_hi = pml_func_upper(i+1,nx,npmlx_lo, npmlx_hi);
p->pmlx = p->pmlx_lo + p->pmlx_hi;
#endif
}
/********************************
Read/write 27pt neighbourhoods of real/complex values
********************************/
inline void load_nbrhoodc( double complex * x, const double * xr, const double * xi, int i, int j, int k, int nx, int ny, int nz, int s, pml_info p )
{
x[MMM] = MMM_BDRY(CMPLX( xr[ IDX1D4(i-1,j-1,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j-1,k-1,s,nx,ny,nz) ] ));
x[NMM] = NMM_BDRY(CMPLX( xr[ IDX1D4(i ,j-1,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i ,j-1,k-1,s,nx,ny,nz) ] ));
x[PMM] = PMM_BDRY(CMPLX( xr[ IDX1D4(i+1,j-1,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j-1,k-1,s,nx,ny,nz) ] ));
x[MNM] = MNM_BDRY(CMPLX( xr[ IDX1D4(i-1,j ,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j ,k-1,s,nx,ny,nz) ] ));
x[NNM] = NNM_BDRY(CMPLX( xr[ IDX1D4(i ,j ,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i ,j ,k-1,s,nx,ny,nz) ] ));
x[PNM] = PNM_BDRY(CMPLX( xr[ IDX1D4(i+1,j ,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j ,k-1,s,nx,ny,nz) ] ));
x[MPM] = MPM_BDRY(CMPLX( xr[ IDX1D4(i-1,j+1,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j+1,k-1,s,nx,ny,nz) ] ));
x[NPM] = NPM_BDRY(CMPLX( xr[ IDX1D4(i ,j+1,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i ,j+1,k-1,s,nx,ny,nz) ] ));
x[PPM] = PPM_BDRY(CMPLX( xr[ IDX1D4(i+1,j+1,k-1,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j+1,k-1,s,nx,ny,nz) ] ));
x[MMN] = MMN_BDRY(CMPLX( xr[ IDX1D4(i-1,j-1,k ,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j-1,k ,s,nx,ny,nz) ] ));
x[NMN] = NMN_BDRY(CMPLX( xr[ IDX1D4(i ,j-1,k ,s,nx,ny,nz) ], xi[ IDX1D4(i ,j-1,k ,s,nx,ny,nz) ] ));
x[PMN] = PMN_BDRY(CMPLX( xr[ IDX1D4(i+1,j-1,k ,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j-1,k ,s,nx,ny,nz) ] ));
x[MNN] = MNN_BDRY(CMPLX( xr[ IDX1D4(i-1,j ,k ,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j ,k ,s,nx,ny,nz) ] ));
x[NNN] = CMPLX( xr[ IDX1D4(i ,j ,k ,s,nx,ny,nz) ], xi[ IDX1D4(i ,j ,k ,s,nx,ny,nz) ] );
x[PNN] = PNN_BDRY(CMPLX( xr[ IDX1D4(i+1,j ,k ,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j ,k ,s,nx,ny,nz) ] ));
x[MPN] = MPN_BDRY(CMPLX( xr[ IDX1D4(i-1,j+1,k ,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j+1,k ,s,nx,ny,nz) ] ));
x[NPN] = NPN_BDRY(CMPLX( xr[ IDX1D4(i ,j+1,k ,s,nx,ny,nz) ], xi[ IDX1D4(i ,j+1,k ,s,nx,ny,nz) ] ));
x[PPN] = PPN_BDRY(CMPLX( xr[ IDX1D4(i+1,j+1,k ,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j+1,k ,s,nx,ny,nz) ] ));
x[MMP] = MMP_BDRY(CMPLX( xr[ IDX1D4(i-1,j-1,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j-1,k+1,s,nx,ny,nz) ] ));
x[NMP] = NMP_BDRY(CMPLX( xr[ IDX1D4(i ,j-1,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i ,j-1,k+1,s,nx,ny,nz) ] ));
x[PMP] = PMP_BDRY(CMPLX( xr[ IDX1D4(i+1,j-1,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j-1,k+1,s,nx,ny,nz) ] ));
x[MNP] = MNP_BDRY(CMPLX( xr[ IDX1D4(i-1,j ,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j ,k+1,s,nx,ny,nz) ] ));
x[NNP] = NNP_BDRY(CMPLX( xr[ IDX1D4(i ,j ,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i ,j ,k+1,s,nx,ny,nz) ] ));
x[PNP] = PNP_BDRY(CMPLX( xr[ IDX1D4(i+1,j ,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j ,k+1,s,nx,ny,nz) ] ));
x[MPP] = MPP_BDRY(CMPLX( xr[ IDX1D4(i-1,j+1,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i-1,j+1,k+1,s,nx,ny,nz) ] ));
x[NPP] = NPP_BDRY(CMPLX( xr[ IDX1D4(i ,j+1,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i ,j+1,k+1,s,nx,ny,nz) ] ));
x[PPP] = PPP_BDRY(CMPLX( xr[ IDX1D4(i+1,j+1,k+1,s,nx,ny,nz) ], xi[ IDX1D4(i+1,j+1,k+1,s,nx,ny,nz) ] ));
}
inline void nbrhood_update(double complex coef[27],double * yr, double * yi, int i, int j,int k, int nx, int ny, int nz,int s,pml_info p)
{
MMM_IF( yr[ IDX1D4(i-1,j-1,k-1,s,nx,ny,nz) ] += creal(coef[MMM]); yi[ IDX1D4(i-1,j-1,k-1,s,nx,ny,nz) ] += cimag(coef[MMM]); )
NMM_IF( yr[ IDX1D4(i ,j-1,k-1,s,nx,ny,nz) ] += creal(coef[NMM]); yi[ IDX1D4(i ,j-1,k-1,s,nx,ny,nz) ] += cimag(coef[NMM]); )
PMM_IF( yr[ IDX1D4(i+1,j-1,k-1,s,nx,ny,nz) ] += creal(coef[PMM]); yi[ IDX1D4(i+1,j-1,k-1,s,nx,ny,nz) ] += cimag(coef[PMM]); )
MNM_IF( yr[ IDX1D4(i-1,j ,k-1,s,nx,ny,nz) ] += creal(coef[MNM]); yi[ IDX1D4(i-1,j ,k-1,s,nx,ny,nz) ] += cimag(coef[MNM]); )
NNM_IF( yr[ IDX1D4(i ,j ,k-1,s,nx,ny,nz) ] += creal(coef[NNM]); yi[ IDX1D4(i ,j ,k-1,s,nx,ny,nz) ] += cimag(coef[NNM]); )
PNM_IF( yr[ IDX1D4(i+1,j ,k-1,s,nx,ny,nz) ] += creal(coef[PNM]); yi[ IDX1D4(i+1,j ,k-1,s,nx,ny,nz) ] += cimag(coef[PNM]); )
MPM_IF( yr[ IDX1D4(i-1,j+1,k-1,s,nx,ny,nz) ] += creal(coef[MPM]); yi[ IDX1D4(i-1,j+1,k-1,s,nx,ny,nz) ] += cimag(coef[MPM]); )
NPM_IF( yr[ IDX1D4(i ,j+1,k-1,s,nx,ny,nz) ] += creal(coef[NPM]); yi[ IDX1D4(i ,j+1,k-1,s,nx,ny,nz) ] += cimag(coef[NPM]); )
PPM_IF( yr[ IDX1D4(i+1,j+1,k-1,s,nx,ny,nz) ] += creal(coef[PPM]); yi[ IDX1D4(i+1,j+1,k-1,s,nx,ny,nz) ] += cimag(coef[PPM]); )
MMN_IF( yr[ IDX1D4(i-1,j-1,k ,s,nx,ny,nz) ] += creal(coef[MMN]); yi[ IDX1D4(i-1,j-1,k ,s,nx,ny,nz) ] += cimag(coef[MMN]); )
NMN_IF( yr[ IDX1D4(i ,j-1,k ,s,nx,ny,nz) ] += creal(coef[NMN]); yi[ IDX1D4(i ,j-1,k ,s,nx,ny,nz) ] += cimag(coef[NMN]); )
PMN_IF( yr[ IDX1D4(i+1,j-1,k ,s,nx,ny,nz) ] += creal(coef[PMN]); yi[ IDX1D4(i+1,j-1,k ,s,nx,ny,nz) ] += cimag(coef[PMN]); )
MNN_IF( yr[ IDX1D4(i-1,j ,k ,s,nx,ny,nz) ] += creal(coef[MNN]); yi[ IDX1D4(i-1,j ,k ,s,nx,ny,nz) ] += cimag(coef[MNN]); )
yr[ IDX1D4(i ,j ,k ,s,nx,ny,nz) ] += creal(coef[NNN]); yi[ IDX1D4(i ,j ,k ,s,nx,ny,nz) ] += cimag(coef[NNN]);
PNN_IF( yr[ IDX1D4(i+1,j ,k ,s,nx,ny,nz) ] += creal(coef[PNN]); yi[ IDX1D4(i+1,j ,k ,s,nx,ny,nz) ] += cimag(coef[PNN]); )
MPN_IF( yr[ IDX1D4(i-1,j+1,k ,s,nx,ny,nz) ] += creal(coef[MPN]); yi[ IDX1D4(i-1,j+1,k ,s,nx,ny,nz) ] += cimag(coef[MPN]); )
NPN_IF( yr[ IDX1D4(i ,j+1,k ,s,nx,ny,nz) ] += creal(coef[NPN]); yi[ IDX1D4(i ,j+1,k ,s,nx,ny,nz) ] += cimag(coef[NPN]); )
PPN_IF( yr[ IDX1D4(i+1,j+1,k ,s,nx,ny,nz) ] += creal(coef[PPN]); yi[ IDX1D4(i+1,j+1,k ,s,nx,ny,nz) ] += cimag(coef[PPN]); )
MMP_IF( yr[ IDX1D4(i-1,j-1,k+1,s,nx,ny,nz) ] += creal(coef[MMP]); yi[ IDX1D4(i-1,j-1,k+1,s,nx,ny,nz) ] += cimag(coef[MMP]); )
NMP_IF( yr[ IDX1D4(i ,j-1,k+1,s,nx,ny,nz) ] += creal(coef[NMP]); yi[ IDX1D4(i ,j-1,k+1,s,nx,ny,nz) ] += cimag(coef[NMP]); )
PMP_IF( yr[ IDX1D4(i+1,j-1,k+1,s,nx,ny,nz) ] += creal(coef[PMP]); yi[ IDX1D4(i+1,j-1,k+1,s,nx,ny,nz) ] += cimag(coef[PMP]); )
MNP_IF(
yr[ IDX1D4(i-1,j ,k+1,s,nx,ny,nz) ] += creal(coef[MNP]);
yi[ IDX1D4(i-1,j ,k+1,s,nx,ny,nz) ] += cimag(coef[MNP]);
)
NNP_IF(
yr[ IDX1D4(i ,j ,k+1,s,nx,ny,nz) ] += creal(coef[NNP]);
yi[ IDX1D4(i ,j ,k+1,s,nx,ny,nz) ] += cimag(coef[NNP]);
)
PNP_IF(
yr[ IDX1D4(i+1,j ,k+1,s,nx,ny,nz) ] += creal(coef[PNP]);
yi[ IDX1D4(i+1,j ,k+1,s,nx,ny,nz) ] += cimag(coef[PNP]);
)
MPP_IF(
yr[ IDX1D4(i-1,j+1,k+1,s,nx,ny,nz) ] += creal(coef[MPP]);
yi[ IDX1D4(i-1,j+1,k+1,s,nx,ny,nz) ] += cimag(coef[MPP]);
)
NPP_IF(
yr[ IDX1D4(i ,j+1,k+1,s,nx,ny,nz) ] += creal(coef[NPP]);
yi[ IDX1D4(i ,j+1,k+1,s,nx,ny,nz) ] += cimag(coef[NPP]);
)
PPP_IF(
yr[ IDX1D4(i+1,j+1,k+1,s,nx,ny,nz) ] += creal(coef[PPP]);
yi[ IDX1D4(i+1,j+1,k+1,s,nx,ny,nz) ] += cimag(coef[PPP]);
)
}
inline void load_nbrhoodr( double * x, const double * xr, int i, int j, int k, int nx, int ny, int nz, pml_info p )
{
x[MMM] = MMM_BDRY(xr[ IDX1D4(i-1,j-1,k-1,0,nx,ny,nz) ]);
x[NMM] = NMM_BDRY(xr[ IDX1D4(i ,j-1,k-1,0,nx,ny,nz) ]);
x[PMM] = PMM_BDRY(xr[ IDX1D4(i+1,j-1,k-1,0,nx,ny,nz) ]);
x[MNM] = MNM_BDRY(xr[ IDX1D4(i-1,j ,k-1,0,nx,ny,nz) ]);
x[NNM] = NNM_BDRY(xr[ IDX1D4(i ,j ,k-1,0,nx,ny,nz) ]);
x[PNM] = PNM_BDRY(xr[ IDX1D4(i+1,j ,k-1,0,nx,ny,nz) ]);
x[MPM] = MPM_BDRY(xr[ IDX1D4(i-1,j+1,k-1,0,nx,ny,nz) ]);
x[NPM] = NPM_BDRY(xr[ IDX1D4(i ,j+1,k-1,0,nx,ny,nz) ]);
x[PPM] = PPM_BDRY(xr[ IDX1D4(i+1,j+1,k-1,0,nx,ny,nz) ]);
x[MMN] = MMN_BDRY(xr[ IDX1D4(i-1,j-1,k ,0,nx,ny,nz) ]);
x[NMN] = NMN_BDRY(xr[ IDX1D4(i ,j-1,k ,0,nx,ny,nz) ]);
x[PMN] = PMN_BDRY(xr[ IDX1D4(i+1,j-1,k ,0,nx,ny,nz) ]);
x[MNN] = MNN_BDRY(xr[ IDX1D4(i-1,j ,k ,0,nx,ny,nz) ]);
x[NNN] = xr[ IDX1D4(i ,j ,k ,0,nx,ny,nz) ];
x[PNN] = PNN_BDRY(xr[ IDX1D4(i+1,j ,k ,0,nx,ny,nz) ]);
x[MPN] = MPN_BDRY(xr[ IDX1D4(i-1,j+1,k ,0,nx,ny,nz) ]);
x[NPN] = NPN_BDRY(xr[ IDX1D4(i ,j+1,k ,0,nx,ny,nz) ]);
x[PPN] = PPN_BDRY(xr[ IDX1D4(i+1,j+1,k ,0,nx,ny,nz) ]);
x[MMP] = MMP_BDRY(xr[ IDX1D4(i-1,j-1,k+1,0,nx,ny,nz) ]);
x[NMP] = NMP_BDRY(xr[ IDX1D4(i ,j-1,k+1,0,nx,ny,nz) ]);
x[PMP] = PMP_BDRY(xr[ IDX1D4(i+1,j-1,k+1,0,nx,ny,nz) ]);
x[MNP] = MNP_BDRY(xr[ IDX1D4(i-1,j ,k+1,0,nx,ny,nz) ]);
x[NNP] = NNP_BDRY(xr[ IDX1D4(i ,j ,k+1,0,nx,ny,nz) ]);
x[PNP] = PNP_BDRY(xr[ IDX1D4(i+1,j ,k+1,0,nx,ny,nz) ]);
x[MPP] = MPP_BDRY(xr[ IDX1D4(i-1,j+1,k+1,0,nx,ny,nz) ]);
x[NPP] = NPP_BDRY(xr[ IDX1D4(i ,j+1,k+1,0,nx,ny,nz) ]);
x[PPP] = PPP_BDRY(xr[ IDX1D4(i+1,j+1,k+1,0,nx,ny,nz) ]);
}
inline void load_wn_nbrhood(wn_type wn_window[27],const double * wnr,const double * wni, int i, int j, int k, int nx, int ny, int nz, pml_info p)
{
#ifdef WNCMPLX
load_nbrhoodc(wn_window,wnr,wni,i,j,k,nx,ny,nz,0,p);
#else
load_nbrhoodr(wn_window,wnr,i,j,k,nx,ny,nz,p);
#endif
}
/********************************
Coefficient computation functions
********************************/
inline coef_consts compute_coef_consts(const double * h)
{
/*
Compute constants associated to stencil computations
*/
double hx = h[0]; double hy = h[1]; double hz = h[2];
double hx2 = hx*hx, hy2 = hy*hy, hz2 = hz*hz;
double hxy = hx2 +hy2;
double hxz = hx2 + hz2;
double hyz = hy2 + hz2;
double hxyz = hx2 + hy2 + hz2;
double W3A = (W3)*3/(4*hxyz);
double W3A_2 = 2*W3A;
double wn_coef = -(W1 + 3*W2 + 16*W3A*hxyz/3 + WM1-1);
double wn_xcoef = (W1/hx2 + W2/hx2 + W2/hxz + W2/hxy + 8*W3A);
double wn_ycoef = (W1/hy2 + W2/hy2 + W2/hyz + W2/hxy + 8*W3A);
double wn_zcoef = (W1/hz2 + W2/hz2 + W2/hxz + W2/hyz + 8*W3A);
double pmlx_coef = -(W1/hx2 + W2/hx2 + W2/hxz + W2/hxy + 8*W3A);
double pmly_coef = -(W1/hy2 + W2/hy2 + W2/hyz + W2/hxy + 8*W3A);
double pmlz_coef = -(W1/hz2 + W2/hz2 + W2/hxz + W2/hyz + 8*W3A);
double xz_coef = W2/(2*hxz);
double xy_coef = W2/(2*hxy);
double yz_coef = W2/(2*hyz);
coef_consts c = { .W3A_2 = W3A_2, .wn_coef = wn_coef,
.wn_xcoef = wn_xcoef, .wn_ycoef = wn_ycoef, .wn_zcoef = wn_zcoef,
.pmlx_coef = pmlx_coef, .pmly_coef = pmly_coef, .pmlz_coef = pmlz_coef, .xz_coef = xz_coef, .xy_coef = xy_coef, .yz_coef = yz_coef };
return c;
}
inline void get_coefs(double complex coef[27], const wn_type wn_window[27], const coef_consts c, const pml_info p, const pml_adj_info padj)
{
#ifndef ADJ
/* Compute coefficients - forward mode */
coef[MMM] = MMM_BDRY(- WM4*wn_window[MMM] + non_deriv_mode*(-c.W3A_2*( p.pmlx_lo + p.pmly_lo + p.pmlz_lo )));
coef[NMM] = NMM_BDRY(- WM3*wn_window[NMM] + non_deriv_mode*(-c.yz_coef * (p.pmlz_lo + p.pmly_lo) + c.W3A_2*p.pmlx));
coef[PMM] = PMM_BDRY(- WM4*wn_window[PMM] + non_deriv_mode*(-c.W3A_2*( p.pmlx_hi + p.pmly_lo + p.pmlz_lo )));
coef[MNM] = MNM_BDRY( - WM3*wn_window[MNM] + non_deriv_mode*(-c.xz_coef * (p.pmlz_lo + p.pmlx_lo) + c.W3A_2*p.pmly));
coef[NNM] = NNM_BDRY(- WM2*wn_window[NNM] + non_deriv_mode*(c.pmlz_coef*p.pmlz_lo + c.yz_coef*p.pmly + c.xz_coef*p.pmlx));
coef[PNM] = PNM_BDRY(- WM3*wn_window[PNM] + non_deriv_mode*(-c.xz_coef * (p.pmlz_lo + p.pmlx_hi) + c.W3A_2*p.pmly));
coef[MPM] = MPM_BDRY(- WM4*wn_window[MPM] + non_deriv_mode*(-c.W3A_2*( p.pmlx_lo + p.pmly_hi + p.pmlz_lo )));
coef[NPM] = NPM_BDRY(- WM3*wn_window[NPM] + non_deriv_mode*(-c.yz_coef * (p.pmly_hi + p.pmlz_lo) + c.W3A_2*p.pmlx));
coef[PPM] = PPM_BDRY(- WM4*wn_window[PPM] + non_deriv_mode*(-c.W3A_2*( p.pmlx_hi + p.pmly_hi + p.pmlz_lo )));
coef[MMN] = MMN_BDRY(- WM3*wn_window[MMN] + non_deriv_mode*(-c.xy_coef * (p.pmlx_lo + p.pmly_lo) + c.W3A_2*p.pmlz));
coef[NMN] = NMN_BDRY(- WM2*wn_window[NMN] + non_deriv_mode*(c.pmly_coef*p.pmly_lo + c.yz_coef*p.pmlz + c.xy_coef*p.pmlx));
coef[PMN] = PMN_BDRY(- WM3*wn_window[PMN] + non_deriv_mode*(-c.xy_coef * (p.pmlx_hi + p.pmly_lo) + c.W3A_2*p.pmlz));
coef[MNN] = MNN_BDRY(- WM2*wn_window[MNN]+non_deriv_mode*(c.pmlx_coef*p.pmlx_lo + c.xz_coef*p.pmlz + c.xy_coef*p.pmly));
coef[NNN] = c.wn_coef*wn_window[NNN] + non_deriv_mode*(c.wn_xcoef*p.pmlx + c.wn_ycoef*p.pmly + c.wn_zcoef*p.pmlz);
coef[PNN] = PNN_BDRY(- WM2*wn_window[PNN] + non_deriv_mode*(c.pmlx_coef*p.pmlx_hi + c.xz_coef*p.pmlz + c.xy_coef*p.pmly));
coef[MPN] = MPN_BDRY(- WM3*wn_window[MPN] + non_deriv_mode*(-c.xy_coef * (p.pmlx_lo + p.pmly_hi) + c.W3A_2*p.pmlz));
coef[NPN] = NPN_BDRY(- WM2*wn_window[NPN] + non_deriv_mode*(c.pmly_coef*p.pmly_hi + c.yz_coef*p.pmlz + c.xy_coef*p.pmlx));
coef[PPN] = PPN_BDRY(- WM3*wn_window[PPN] + non_deriv_mode*(-c.xy_coef * (p.pmlx_hi + p.pmly_hi) + c.W3A_2*p.pmlz));
coef[MMP] = MMP_BDRY(- WM4*wn_window[MMP] + non_deriv_mode*(-c.W3A_2*( p.pmlx_lo + p.pmly_lo + p.pmlz_hi )));
coef[NMP] = NMP_BDRY(- WM3*wn_window[NMP] + non_deriv_mode*(-c.yz_coef * (p.pmly_lo + p.pmlz_hi) + c.W3A_2*p.pmlx));
coef[PMP] = PMP_BDRY(- WM4*wn_window[PMP] + non_deriv_mode*(-c.W3A_2*( p.pmlx_hi + p.pmly_lo + p.pmlz_hi )));
coef[MNP] = MNP_BDRY(- WM3*wn_window[MNP] + non_deriv_mode*(-c.xz_coef * (p.pmlz_hi + p.pmlx_lo) + c.W3A_2*p.pmly));
coef[NNP] = NNP_BDRY(- WM2*wn_window[NNP] + non_deriv_mode*(c.pmlz_coef*p.pmlz_hi + c.yz_coef*p.pmly + c.xz_coef*p.pmlx));
coef[PNP] = PNP_BDRY(- WM3*wn_window[PNP] + non_deriv_mode*(-c.xz_coef * (p.pmlz_hi + p.pmlx_hi) + c.W3A_2*p.pmly));
coef[MPP] = MPP_BDRY(- WM4*wn_window[MPP] + non_deriv_mode*(-c.W3A_2*( p.pmlx_lo + p.pmly_hi + p.pmlz_hi )));
coef[NPP] = NPP_BDRY(- WM3*wn_window[NPP] + non_deriv_mode*(-c.yz_coef * (p.pmlz_hi + p.pmly_hi) + c.W3A_2*p.pmlx));
coef[PPP] = PPP_BDRY(- WM4*wn_window[PPP] + non_deriv_mode*(-c.W3A_2*( p.pmlx_hi + p.pmly_hi + p.pmlz_hi )));
#else
/* Compute coefficients - adjoint mode */
coef[MMM] = - WM4*wn_window[NNN];
coef[NMM] = - WM3*wn_window[NNN];
coef[PMM] = - WM4*wn_window[NNN];
coef[MNM] = - WM3*wn_window[NNN];
coef[NNM] = - WM2*wn_window[NNN];
coef[PNM] = - WM3*wn_window[NNN];
coef[MPM] = - WM4*wn_window[NNN];
coef[NPM] = - WM3*wn_window[NNN];
coef[PPM] = - WM4*wn_window[NNN];
coef[MMN] = - WM3*wn_window[NNN];
coef[NMN] = - WM2*wn_window[NNN];
coef[PMN] = - WM3*wn_window[NNN];
coef[MNN] = - WM2*wn_window[NNN];
coef[NNN] = c.wn_coef*wn_window[NNN];
coef[PNN] = - WM2*wn_window[NNN];
coef[MPN] = - WM3*wn_window[NNN];
coef[NPN] = - WM2*wn_window[NNN];
coef[PPN] = - WM3*wn_window[NNN];
coef[MMP] = - WM4*wn_window[NNN];
coef[NMP] = - WM3*wn_window[NNN];
coef[PMP] = - WM4*wn_window[NNN];
coef[MNP] = - WM3*wn_window[NNN];
coef[NNP] = - WM2*wn_window[NNN];
coef[PNP] = - WM3*wn_window[NNN];
coef[MPP] = - WM4*wn_window[NNN];
coef[NPP] = - WM3*wn_window[NNN];
coef[PPP] = - WM4*wn_window[NNN];
#ifndef DERIV
// (+1,0,0) coef for (i-1,j,k)
coef[MNN] += c.pmlx_coef*padj.pmlx_hi_window[0] + c.xz_coef*p.pmlz + c.xy_coef*p.pmly;
// (-1,0,0) coef for (i+1,j,k)
coef[PNN] += c.pmlx_coef*padj.pmlx_lo_window[2] + c.xz_coef*p.pmlz + c.xy_coef*p.pmly;
// (0,+1,0) coef for (i,j-1,k)
coef[NMN] += c.pmly_coef*padj.pmly_hi_window[0] + c.yz_coef*p.pmlz + c.xy_coef*p.pmlx;
// (0,-1,0) coef for (i,j+1,k)
coef[NPN] += c.pmly_coef*padj.pmly_lo_window[2] + c.yz_coef*p.pmlz + c.xy_coef*p.pmlx;
// (0,0,+1) coef for (i,j,k-1)
coef[NNM] += c.pmlz_coef*padj.pmlz_hi_window[0] + c.yz_coef*p.pmly + c.xz_coef*p.pmlx;
// (0,0,-1) coef for (i,j,k+1)
coef[NNP] += c.pmlz_coef*padj.pmlz_lo_window[2] + c.yz_coef*p.pmly + c.xz_coef*p.pmlx;
// (0,-1,-1) coef for (i,j+1,k+1)
coef[NPP] += -c.yz_coef * (padj.pmlz_lo_window[2] + padj.pmly_lo_window[2]) + c.W3A_2*p.pmlx;
// (0,+1,+1) coef for (i,j-1,k-1)
coef[NMM] += -c.yz_coef * (padj.pmlz_hi_window[0] + padj.pmly_hi_window[0]) + c.W3A_2*p.pmlx;
// (0,-1,+1) coef for (i,j+1,j-1)
coef[NPM] += -c.yz_coef * (padj.pmly_lo_window[2] + padj.pmlz_hi_window[0]) + c.W3A_2*p.pmlx;
// (0,+1,-1) coef for (i,j-1,j+1)
coef[NMP] += -c.yz_coef * (padj.pmly_hi_window[0] + padj.pmlz_lo_window[2]) + c.W3A_2*p.pmlx;
// (-1,0,-1) coef for (i+1,j,k+1)
coef[PNP] += -c.xz_coef * (padj.pmlz_lo_window[2] + padj.pmlx_lo_window[2]) + c.W3A_2*p.pmly;
// (+1,0,+1) coef for (i-1,j,k-1)
coef[MNM] += -c.xz_coef * (padj.pmlz_hi_window[0] + padj.pmlx_hi_window[0]) + c.W3A_2*p.pmly;
// (-1,0,+1) coef for (i+1,j,k-1)
coef[PNM] += -c.xz_coef * (padj.pmlz_hi_window[0] + padj.pmlx_lo_window[2]) + c.W3A_2*p.pmly;
// (+1,0,-1) coef for (i-1,j,k+1)
coef[MNP] += -c.xz_coef * (padj.pmlz_lo_window[2] + padj.pmlx_hi_window[0]) + c.W3A_2*p.pmly;
// (-1,+1,0) coef for (i+1,j-1,k)
coef[PMN] += -c.xy_coef * (padj.pmlx_lo_window[2] + padj.pmly_hi_window[0]) + c.W3A_2*p.pmlz;
// (+1,-1,0) coef for (i-1,j+1,k)
coef[MPN] += -c.xy_coef * (padj.pmlx_hi_window[0] + padj.pmly_lo_window[2]) + c.W3A_2*p.pmlz;
// (-1,-1,0) coef for (i+1,j+1,k)
coef[PPN] += -c.xy_coef * (padj.pmlx_lo_window[2] + padj.pmly_lo_window[2]) + c.W3A_2*p.pmlz;
// (+1,+1,0) coef for (i-1,j-1,k)
coef[MMN] += -c.xy_coef * (padj.pmlx_hi_window[0] + padj.pmly_hi_window[0]) + c.W3A_2*p.pmlz;
// (-1,-1,-1) coef for (i+1,j+1,k+1)
coef[PPP] += -c.W3A_2*( padj.pmlx_lo_window[2] + padj.pmly_lo_window[2] + padj.pmlz_lo_window[2] );
// (+1,+1,+1) coef for (i-1,j-1,k-1)
coef[MMM] += -c.W3A_2*( padj.pmlx_hi_window[0] + padj.pmly_hi_window[0] + padj.pmlz_hi_window[0] );
// (-1,-1,+1) coef for (i+1,j+1,k-1)
coef[PPM] += -c.W3A_2*( padj.pmlx_lo_window[2] + padj.pmly_lo_window[2] + padj.pmlz_hi_window[0] );
// (+1,+1,-1) coef for (i-1,j-1,k+1)
coef[MMP] += -c.W3A_2*( padj.pmlx_hi_window[0] + padj.pmly_hi_window[0] + padj.pmlz_lo_window[2] );
// (-1,+1,-1) coef for (i+1,j-1,k+1)
coef[PMP] += -c.W3A_2*( padj.pmlx_lo_window[2] + padj.pmly_hi_window[0] + padj.pmlz_lo_window[2] );
// (+1,-1,+1) coef for (i-1,j+1,k-1)
coef[MPM] += -c.W3A_2*( padj.pmlx_hi_window[0] + padj.pmly_lo_window[2] + padj.pmlz_hi_window[0] );
// (-1,+1,+1) coef for (i+1,j-1,k-1)
coef[PMM] += -c.W3A_2*( padj.pmlx_lo_window[2] + padj.pmly_hi_window[0] + padj.pmlz_hi_window[0] );
// (+1,-1,-1) coef for (i-1,j+1,k+1)
coef[MPP] += -c.W3A_2*( padj.pmlx_hi_window[0] + padj.pmly_lo_window[2] + padj.pmlz_lo_window[2] );
// (0,0,0) coef for (i,j,k)
coef[NNN] += c.wn_xcoef*p.pmlx + c.wn_ycoef*p.pmly + c.wn_zcoef*p.pmlz;
#endif
#endif
// Boundary handling
#ifdef ADJ
for(int t=0; t<27; t++)
{
coef[t] = conj(coef[t]);
}
#endif
}
void do_Hmvp( const double * wnr, const double * wni, const double * h, const double * n, const double * npml, double *yr, double *yi, const double *xr, const double *xi, int nthreads) {
int i,j,k,kout,t;
int q;
int nx = (int)n[0]; int ny = (int)n[1]; int nz = (int)n[2];
int npmlx_lo = (int)npml[0]; int npmlx_hi = (int)npml[1];
int npmly_lo = (int)npml[2]; int npmly_hi = (int)npml[3];
int npmlz_lo = (int)npml[4]; int npmlz_hi = (int)npml[5];
coef_consts c = compute_coef_consts(h);
int pmlz_alloc = 0; int pmly_alloc = 0; int pmlx_alloc = 0;
double complex coef[27];
double complex x[27];
wn_type wn_window[27];
pml_info p;
pml_adj_info padj;
double complex y_out;
p.x_hasL = 0; p.x_hasR = 1;
p.y_hasL = 0; p.y_hasR = 1;
p.z_hasR = 0; p.z_hasR = 1;
#pragma omp parallel for schedule(static) private(coef,x,wn_window,y_out,kout,i,j,k,t,q) firstprivate(p,padj,pmlx_alloc,pmly_alloc,pmlz_alloc) num_threads(nthreads)
xyzloop_up(
/* Cache a window of the wavenumber around the current point */
load_wn_nbrhood(wn_window,wnr,wni,i,j,k,nx,ny,nz,p);
/* Get coefficients */
get_coefs(coef,wn_window, c, p, padj);
/* Cache a window of the wavefield around the current point */
load_nbrhoodc(x,xr,xi,i,j,k,nx,ny,nz,0,p);
kout = IDX1D3(i,j,k,nx,ny,nz);
y_out = 0.0 + 0.0*I;
for(t=0; t<27; t++){
y_out += coef[t] * x[t];
}
yr[kout] = creal(y_out);
yi[kout] = cimag(y_out);
)
}
|
ft.c | /*--------------------------------------------------------------------
NAS Parallel Benchmarks 3.0 structured OpenMP C versions - FT
This benchmark is an OpenMP C version of the NPB FT code.
The OpenMP C 2.3 versions are derived by RWCP from the serial Fortran versions
in "NPB 2.3-serial" developed by NAS. 3.0 translation is performed by the UVSQ.
Permission to use, copy, distribute and modify this software for any
purpose with or without fee is hereby granted.
This software is provided "as is" without express or implied warranty.
Information on OpenMP activities at RWCP is available at:
http://pdplab.trc.rwcp.or.jp/pdperf/Omni/
Information on NAS Parallel Benchmarks 2.3 is available at:
http://www.nas.nasa.gov/NAS/NPB/
--------------------------------------------------------------------*/
/*--------------------------------------------------------------------
Authors: D. Bailey
W. Saphir
OpenMP C version: S. Satoh
3.0 structure translation: M. Popov
--------------------------------------------------------------------*/
#include "../common/npb-C.h"
/* global variables */
#include "global.h"
/* function declarations */
static void evolve(dcomplex u0[NZ][NY][NX], dcomplex u1[NZ][NY][NX],
int t, int indexmap[NZ][NY][NX], int d[3]);
static void compute_initial_conditions(dcomplex u0[NZ][NY][NX], int d[3]);
static void ipow46(double a, int exponent, double *result);
static void setup(void);
static void compute_indexmap(int indexmap[NZ][NY][NX], int d[3]);
static void print_timers(void);
static void fft(int dir, dcomplex x1[NZ][NY][NX], dcomplex x2[NZ][NY][NX]);
static void cffts1(int is, int d[3], dcomplex x[NZ][NY][NX],
dcomplex xout[NZ][NY][NX],
dcomplex y0[NX][FFTBLOCKPAD],
dcomplex y1[NX][FFTBLOCKPAD]);
static void cffts2(int is, int d[3], dcomplex x[NZ][NY][NX],
dcomplex xout[NZ][NY][NX],
dcomplex y0[NX][FFTBLOCKPAD],
dcomplex y1[NX][FFTBLOCKPAD]);
static void cffts3(int is, int d[3], dcomplex x[NZ][NY][NX],
dcomplex xout[NZ][NY][NX],
dcomplex y0[NX][FFTBLOCKPAD],
dcomplex y1[NX][FFTBLOCKPAD]);
static void fft_init (int n);
static void cfftz (int is, int m, int n, dcomplex x[NX][FFTBLOCKPAD],
dcomplex y[NX][FFTBLOCKPAD]);
static void fftz2 (int is, int l, int m, int n, int ny, int ny1,
dcomplex u[NX], dcomplex x[NX][FFTBLOCKPAD],
dcomplex y[NX][FFTBLOCKPAD]);
static int ilog2(int n);
static void checksum(int i, dcomplex u1[NZ][NY][NX], int d[3]);
static void verify (int d1, int d2, int d3, int nt,
boolean *verified, char *class);
/*--------------------------------------------------------------------
c FT benchmark
c-------------------------------------------------------------------*/
int main(int argc, char **argv) {
/*c-------------------------------------------------------------------
c-------------------------------------------------------------------*/
int i, ierr;
/*------------------------------------------------------------------
c u0, u1, u2 are the main arrays in the problem.
c Depending on the decomposition, these arrays will have different
c dimensions. To accomodate all possibilities, we allocate them as
c one-dimensional arrays and pass them to subroutines for different
c views
c - u0 contains the initial (transformed) initial condition
c - u1 and u2 are working arrays
c - indexmap maps i,j,k of u0 to the correct i^2+j^2+k^2 for the
c time evolution operator.
c-----------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Large arrays are in common so that they are allocated on the
c heap rather than the stack. This common block is not
c referenced directly anywhere else. Padding is to avoid accidental
c cache problems, since all array sizes are powers of two.
c-------------------------------------------------------------------*/
static dcomplex u0[NZ][NY][NX];
static dcomplex pad1[3];
static dcomplex u1[NZ][NY][NX];
static dcomplex pad2[3];
static dcomplex u2[NZ][NY][NX];
static dcomplex pad3[3];
static int indexmap[NZ][NY][NX];
int iter;
int nthreads = 1;
double total_time, mflops;
boolean verified;
char class;
/*--------------------------------------------------------------------
c Run the entire problem once to make sure all data is touched.
c This reduces variable startup costs, which is important for such a
c short benchmark. The other NPB 2 implementations are similar.
c-------------------------------------------------------------------*/
for (i = 0; i < T_MAX; i++) {
timer_clear(i);
}
setup();
compute_indexmap(indexmap, dims[2]);
compute_initial_conditions(u1, dims[0]);
fft_init (dims[0][0]);
fft(1, u1, u0);
/*--------------------------------------------------------------------
c Start over from the beginning. Note that all operations must
c be timed, in contrast to other benchmarks.
c-------------------------------------------------------------------*/
for (i = 0; i < T_MAX; i++) {
timer_clear(i);
}
timer_start(T_TOTAL);
if (TIMERS_ENABLED == TRUE) timer_start(T_SETUP);
compute_indexmap(indexmap, dims[2]);
compute_initial_conditions(u1, dims[0]);
fft_init (dims[0][0]);
if (TIMERS_ENABLED == TRUE) {
timer_stop(T_SETUP);
}
if (TIMERS_ENABLED == TRUE) {
timer_start(T_FFT);
}
fft(1, u1, u0);
if (TIMERS_ENABLED == TRUE) {
timer_stop(T_FFT);
}
for (iter = 1; iter <= niter; iter++) {
if (TIMERS_ENABLED == TRUE) {
timer_start(T_EVOLVE);
}
evolve(u0, u1, iter, indexmap, dims[0]);
if (TIMERS_ENABLED == TRUE) {
timer_stop(T_EVOLVE);
}
if (TIMERS_ENABLED == TRUE) {
timer_start(T_FFT);
}
fft(-1, u1, u2);
if (TIMERS_ENABLED == TRUE) {
timer_stop(T_FFT);
}
if (TIMERS_ENABLED == TRUE) {
timer_start(T_CHECKSUM);
}
checksum(iter, u2, dims[0]);
if (TIMERS_ENABLED == TRUE) {
timer_stop(T_CHECKSUM);
}
}
verify(NX, NY, NZ, niter, &verified, &class);
{
#if defined(_OPENMP)
nthreads = omp_get_num_threads();
#endif /* _OPENMP */
} /* end parallel */
timer_stop(T_TOTAL);
total_time = timer_read(T_TOTAL);
if( total_time != 0.0) {
mflops = 1.0e-6*(double)(NTOTAL) *
(14.8157+7.19641*log((double)(NTOTAL))
+ (5.23518+7.21113*log((double)(NTOTAL)))*niter)
/total_time;
} else {
mflops = 0.0;
}
c_print_results("FT", class, NX, NY, NZ, niter, nthreads,
total_time, mflops, " floating point", verified,
NPBVERSION, COMPILETIME,
CS1, CS2, CS3, CS4, CS5, CS6, CS7);
if (TIMERS_ENABLED == TRUE) print_timers();
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void evolve(dcomplex u0[NZ][NY][NX], dcomplex u1[NZ][NY][NX],
int t, int indexmap[NZ][NY][NX], int d[3]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c evolve u0 -> u1 (t time steps) in fourier space
c-------------------------------------------------------------------*/
int i, j, k;
#pragma omp parallel for private(i ,j ,k )
for (k = 0; k < d[2]; k++) {
for (j = 0; j < d[1]; j++) {
for (i = 0; i < d[0]; i++) {
crmul(u1[k][j][i], u0[k][j][i], ex[t*indexmap[k][j][i]]);
}
}
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void compute_initial_conditions(dcomplex u0[NZ][NY][NX], int d[3]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Fill in array u0 with initial conditions from
c random number generator
c-------------------------------------------------------------------*/
int k;
double x0, start, an, dummy;
static double tmp[NX*2*MAXDIM+1];
int i,j,t;
start = SEED;
/*--------------------------------------------------------------------
c Jump to the starting element for our first plane.
c-------------------------------------------------------------------*/
ipow46(A, (zstart[0]-1)*2*NX*NY + (ystart[0]-1)*2*NX, &an);
dummy = randlc(&start, an);
ipow46(A, 2*NX*NY, &an);
/*--------------------------------------------------------------------
c Go through by z planes filling in one square at a time.
c-------------------------------------------------------------------*/
for (k = 0; k < dims[0][2]; k++) {
x0 = start;
vranlc(2*NX*dims[0][1], &x0, A, tmp);
t = 1;
for (j = 0; j < dims[0][1]; j++)
for (i = 0; i < NX; i++) {
u0[k][j][i].real = tmp[t++];
u0[k][j][i].imag = tmp[t++];
}
if (k != dims[0][2]) dummy = randlc(&start, an);
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void ipow46(double a, int exponent, double *result) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c compute a^exponent mod 2^46
c-------------------------------------------------------------------*/
double dummy, q, r;
int n, n2;
/*--------------------------------------------------------------------
c Use
c a^n = a^(n/2)*a^(n/2) if n even else
c a^n = a*a^(n-1) if n odd
c-------------------------------------------------------------------*/
*result = 1;
if (exponent == 0) return;
q = a;
r = 1;
n = exponent;
while (n > 1) {
n2 = n/2;
if (n2 * 2 == n) {
dummy = randlc(&q, q);
n = n2;
} else {
dummy = randlc(&r, q);
n = n-1;
}
}
dummy = randlc(&r, q);
*result = r;
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void setup(void) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int ierr, i, j, fstatus;
printf("\n\n NAS Parallel Benchmarks 3.0 structured OpenMP C version"
" - FT Benchmark\n\n");
niter = NITER_DEFAULT;
printf(" Size : %3dx%3dx%3d\n", NX, NY, NZ);
printf(" Iterations : %7d\n", niter);
/* 1004 format(' Number of processes : ', i7)
1005 format(' Processor array : ', i3, 'x', i3)
1006 format(' WARNING: compiled for ', i5, ' processes. ',
> ' Will not verify. ')*/
#pragma omp parallel for
for (i = 0;i < 3 ; i++) {
dims[i][0] = NX;
dims[i][1] = NY;
dims[i][2] = NZ;
}
#pragma omp parallel for
for (i = 0; i < 3; i++) {
xstart[i] = 1;
xend[i] = NX;
ystart[i] = 1;
yend[i] = NY;
zstart[i] = 1;
zend[i] = NZ;
}
/*--------------------------------------------------------------------
c Set up info for blocking of ffts and transposes. This improves
c performance on cache-based systems. Blocking involves
c working on a chunk of the problem at a time, taking chunks
c along the first, second, or third dimension.
c
c - In cffts1 blocking is on 2nd dimension (with fft on 1st dim)
c - In cffts2/3 blocking is on 1st dimension (with fft on 2nd and 3rd dims)
c Since 1st dim is always in processor, we'll assume it's long enough
c (default blocking factor is 16 so min size for 1st dim is 16)
c The only case we have to worry about is cffts1 in a 2d decomposition.
c so the blocking factor should not be larger than the 2nd dimension.
c-------------------------------------------------------------------*/
fftblock = FFTBLOCK_DEFAULT;
fftblockpad = FFTBLOCKPAD_DEFAULT;
if (fftblock != FFTBLOCK_DEFAULT) fftblockpad = fftblock+3;
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void compute_indexmap(int indexmap[NZ][NY][NX], int d[3]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c compute function from local (i,j,k) to ibar^2+jbar^2+kbar^2
c for time evolution exponent.
c-------------------------------------------------------------------*/
int i, j, k, ii, ii2, jj, ij2, kk;
double ap;
/*--------------------------------------------------------------------
c basically we want to convert the fortran indices
c 1 2 3 4 5 6 7 8
c to
c 0 1 2 3 -4 -3 -2 -1
c The following magic formula does the trick:
c mod(i-1+n/2, n) - n/2
c-------------------------------------------------------------------*/
#pragma omp parallel for private(i ,j ,k ,ii ,ii2 ,jj ,ij2 ,kk )
for (i = 0; i < dims[2][0]; i++) {
ii = (i+1+xstart[2]-2+NX/2)%NX - NX/2;
ii2 = ii*ii;
#pragma omp parallel for private(j) firstprivate(k ,ii ,ii2 ,jj ,ij2 ,kk ,i )
for (j = 0; j < dims[2][1]; j++) {
jj = (j+1+ystart[2]-2+NY/2)%NY - NY/2;
ij2 = jj*jj+ii2;
#pragma omp parallel for private(k) firstprivate(j ,ii ,ii2 ,jj ,ij2 ,kk ,i )
for (k = 0; k < dims[2][2]; k++) {
kk = (k+1+zstart[2]-2+NZ/2)%NZ - NZ/2;
indexmap[k][j][i] = kk*kk+ij2;
}
}
}
/*--------------------------------------------------------------------
c compute array of exponentials for time evolution.
c-------------------------------------------------------------------*/
ap = - 4.0 * ALPHA * PI * PI;
ex[0] = 1.0;
ex[1] = exp(ap);
for (i = 2; i <= EXPMAX; i++) {
ex[i] = ex[i-1]*ex[1];
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void print_timers(void) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int i;
char *tstrings[] = { " total ",
" setup ",
" fft ",
" evolve ",
" checksum ",
" fftlow ",
" fftcopy " };
for (i = 0; i < T_MAX; i++) {
if (timer_read(i) != 0.0) {
printf("timer %2d(%16s( :%10.6f\n", i, tstrings[i], timer_read(i));
}
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void fft(int dir, dcomplex x1[NZ][NY][NX], dcomplex x2[NZ][NY][NX]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
dcomplex y0[NX][FFTBLOCKPAD];
dcomplex y1[NX][FFTBLOCKPAD];
/*--------------------------------------------------------------------
c note: args x1, x2 must be different arrays
c note: args for cfftsx are (direction, layout, xin, xout, scratch)
c xin/xout may be the same and it can be somewhat faster
c if they are
c-------------------------------------------------------------------*/
if (dir == 1) {
cffts1(1, dims[0], x1, x1, y0, y1); /* x1 -> x1 */
cffts2(1, dims[1], x1, x1, y0, y1); /* x1 -> x1 */
cffts3(1, dims[2], x1, x2, y0, y1); /* x1 -> x2 */
} else {
cffts3(-1, dims[2], x1, x1, y0, y1); /* x1 -> x1 */
cffts2(-1, dims[1], x1, x1, y0, y1); /* x1 -> x1 */
cffts1(-1, dims[0], x1, x2, y0, y1); /* x1 -> x2 */
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void cffts1(int is, int d[3], dcomplex x[NZ][NY][NX],
dcomplex xout[NZ][NY][NX],
dcomplex y0[NX][FFTBLOCKPAD],
dcomplex y1[NX][FFTBLOCKPAD]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int logd[3];
int i, j, k, jj;
#pragma omp parallel for
for (i = 0; i < 3; i++) {
logd[i] = ilog2(d[i]);
}
{
dcomplex y0[NX][FFTBLOCKPAD];
dcomplex y1[NX][FFTBLOCKPAD];
#pragma omp parallel for private(i ,j ,k ,jj )
for (k = 0; k < d[2]; k++) {
for (jj = 0; jj <= d[1] - fftblock; jj+=fftblock) {
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTCOPY); */
#pragma omp parallel for private(j) firstprivate(i ,jj ,k )
for (j = 0; j < fftblock; j++) {
#pragma omp parallel for private(i) firstprivate(jj ,j ,k )
for (i = 0; i < d[0]; i++) {
y0[i][j].real = x[k][j+jj][i].real;
y0[i][j].imag = x[k][j+jj][i].imag;
}
}
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTCOPY); */
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTLOW); */
cfftz (is, logd[0],
d[0], y0, y1);
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTLOW); */
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTCOPY); */
#pragma omp parallel for private(j) firstprivate(fftblock ,i ,jj ,x ,k )
for (j = 0; j < fftblock; j++) {
for (i = 0; i < d[0]; i++) {
xout[k][j+jj][i].real = y0[i][j].real;
xout[k][j+jj][i].imag = y0[i][j].imag;
}
}
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTCOPY); */
}
}
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void cffts2(int is, int d[3], dcomplex x[NZ][NY][NX],
dcomplex xout[NZ][NY][NX],
dcomplex y0[NX][FFTBLOCKPAD],
dcomplex y1[NX][FFTBLOCKPAD]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int logd[3];
int i, j, k, ii;
#pragma omp parallel for
for (i = 0; i < 3; i++) {
logd[i] = ilog2(d[i]);
}
{
dcomplex y0[NX][FFTBLOCKPAD];
dcomplex y1[NX][FFTBLOCKPAD];
#pragma omp parallel for private(i ,j ,k ,ii )
for (k = 0; k < d[2]; k++) {
for (ii = 0; ii <= d[0] - fftblock; ii+=fftblock) {
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTCOPY); */
#pragma omp parallel for private(j) firstprivate(i ,ii ,x ,fftblock ,k )
for (j = 0; j < d[1]; j++) {
#pragma omp parallel for private(i) firstprivate(ii ,x ,fftblock ,j ,k )
for (i = 0; i < fftblock; i++) {
y0[j][i].real = x[k][j][i+ii].real;
y0[j][i].imag = x[k][j][i+ii].imag;
}
}
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTCOPY); */
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTLOW); */
cfftz (is, logd[1],
d[1], y0, y1);
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTLOW); */
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTCOPY); */
#pragma omp parallel for private(j) firstprivate(i ,ii ,x ,fftblock ,k )
for (j = 0; j < d[1]; j++) {
for (i = 0; i < fftblock; i++) {
xout[k][j][i+ii].real = y0[j][i].real;
xout[k][j][i+ii].imag = y0[j][i].imag;
}
}
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTCOPY); */
}
}
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void cffts3(int is, int d[3], dcomplex x[NZ][NY][NX],
dcomplex xout[NZ][NY][NX],
dcomplex y0[NX][FFTBLOCKPAD],
dcomplex y1[NX][FFTBLOCKPAD]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int logd[3];
int i, j, k, ii;
#pragma omp parallel for
for (i = 0;i < 3; i++) {
logd[i] = ilog2(d[i]);
}
{
dcomplex y0[NX][FFTBLOCKPAD];
dcomplex y1[NX][FFTBLOCKPAD];
#pragma omp parallel for private(i ,j ,k ,ii )
for (j = 0; j < d[1]; j++) {
for (ii = 0; ii <= d[0] - fftblock; ii+=fftblock) {
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTCOPY); */
#pragma omp parallel for private(k) firstprivate(i ,ii ,j )
for (k = 0; k < d[2]; k++) {
#pragma omp parallel for private(i) firstprivate(ii ,k ,j )
for (i = 0; i < fftblock; i++) {
y0[k][i].real = x[k][j][i+ii].real;
y0[k][i].imag = x[k][j][i+ii].imag;
}
}
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTCOPY); */
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTLOW); */
cfftz (is, logd[2],
d[2], y0, y1);
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTLOW); */
/* if (TIMERS_ENABLED == TRUE) timer_start(T_FFTCOPY); */
#pragma omp parallel for private(k) firstprivate(i ,ii ,x ,fftblock ,j )
for (k = 0; k < d[2]; k++) {
for (i = 0; i < fftblock; i++) {
xout[k][j][i+ii].real = y0[k][i].real;
xout[k][j][i+ii].imag = y0[k][i].imag;
}
}
/* if (TIMERS_ENABLED == TRUE) timer_stop(T_FFTCOPY); */
}
}
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void fft_init (int n) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c compute the roots-of-unity array that will be used for subsequent FFTs.
c-------------------------------------------------------------------*/
int m,nu,ku,i,j,ln;
double t, ti;
/*--------------------------------------------------------------------
c Initialize the U array with sines and cosines in a manner that permits
c stride one access at each FFT iteration.
c-------------------------------------------------------------------*/
nu = n;
m = ilog2(n);
u[0].real = (double)m;
u[0].imag = 0.0;
ku = 1;
ln = 1;
for (j = 1; j <= m; j++) {
t = PI / ln;
for (i = 0; i <= ln - 1; i++) {
ti = i * t;
u[i+ku].real = cos(ti);
u[i+ku].imag = sin(ti);
}
ku = ku + ln;
ln = 2 * ln;
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void cfftz (int is, int m, int n, dcomplex x[NX][FFTBLOCKPAD],
dcomplex y[NX][FFTBLOCKPAD]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Computes NY N-point complex-to-complex FFTs of X using an algorithm due
c to Swarztrauber. X is both the input and the output array, while Y is a
c scratch array. It is assumed that N = 2^M. Before calling CFFTZ to
c perform FFTs, the array U must be initialized by calling CFFTZ with IS
c set to 0 and M set to MX, where MX is the maximum value of M for any
c subsequent call.
c-------------------------------------------------------------------*/
int i,j,l,mx;
/*--------------------------------------------------------------------
c Check if input parameters are invalid.
c-------------------------------------------------------------------*/
mx = (int)(u[0].real);
if ((is != 1 && is != -1) || m < 1 || m > mx) {
printf("CFFTZ: Either U has not been initialized, or else\n"
"one of the input parameters is invalid%5d%5d%5d\n",
is, m, mx);
exit(1);
}
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= m; l+=2) {
fftz2 (is, l, m, n, fftblock, fftblockpad, u, x, y);
if (l == m) break;
fftz2 (is, l + 1, m, n, fftblock, fftblockpad, u, y, x);
}
/*--------------------------------------------------------------------
c Copy Y to X.
c-------------------------------------------------------------------*/
if (m % 2 == 1) {
for (j = 0; j < n; j++) {
#pragma omp parallel for private(i) firstprivate(fftblock ,j )
for (i = 0; i < fftblock; i++) {
x[j][i].real = y[j][i].real;
x[j][i].imag = y[j][i].imag;
}
}
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void fftz2 (int is, int l, int m, int n, int ny, int ny1,
dcomplex u[NX], dcomplex x[NX][FFTBLOCKPAD],
dcomplex y[NX][FFTBLOCKPAD]) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Performs the L-th iteration of the second variant of the Stockham FFT.
c-------------------------------------------------------------------*/
int k,n1,li,lj,lk,ku,i,j,i11,i12,i21,i22;
dcomplex u1,x11,x21;
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
n1 = n / 2;
if (l-1 == 0) {
lk = 1;
} else {
lk = 2 << ((l - 1)-1);
}
if (m-l == 0) {
li = 1;
} else {
li = 2 << ((m - l)-1);
}
lj = 2 * lk;
ku = li;
for (i = 0; i < li; i++) {
i11 = i * lk;
i12 = i11 + n1;
i21 = i * lj;
i22 = i21 + lk;
if (is >= 1) {
u1.real = u[ku+i].real;
u1.imag = u[ku+i].imag;
} else {
u1.real = u[ku+i].real;
u1.imag = -u[ku+i].imag;
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k = 0; k < lk; k++) {
for (j = 0; j < ny; j++) {
double x11real, x11imag;
double x21real, x21imag;
x11real = x[i11+k][j].real;
x11imag = x[i11+k][j].imag;
x21real = x[i12+k][j].real;
x21imag = x[i12+k][j].imag;
y[i21+k][j].real = x11real + x21real;
y[i21+k][j].imag = x11imag + x21imag;
y[i22+k][j].real = u1.real * (x11real - x21real)
- u1.imag * (x11imag - x21imag);
y[i22+k][j].imag = u1.real * (x11imag - x21imag)
+ u1.imag * (x11real - x21real);
}
}
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static int ilog2(int n) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int nn, lg;
if (n == 1) {
return 0;
}
lg = 1;
nn = 2;
while (nn < n) {
nn = nn << 1;
lg++;
}
return lg;
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void checksum(int i, dcomplex u1[NZ][NY][NX], int d[3]) {
{
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int j, q,r,s, ierr;
dcomplex chk,allchk;
chk.real = 0.0;
chk.imag = 0.0;
#pragma omp parallel for
for (j = 1; j <= 1024; j++) {
q = j%NX+1;
if (q >= xstart[0] && q <= xend[0]) {
r = (3*j)%NY+1;
if (r >= ystart[0] && r <= yend[0]) {
s = (5*j)%NZ+1;
if (s >= zstart[0] && s <= zend[0]) {
cadd(chk,chk,u1[s-zstart[0]][r-ystart[0]][q-xstart[0]]);
}
}
}
}
{
sums[i].real += chk.real;
sums[i].imag += chk.imag;
}
{
/* complex % real */
sums[i].real = sums[i].real/(double)(NTOTAL);
sums[i].imag = sums[i].imag/(double)(NTOTAL);
printf("T = %5d Checksum = %22.12e %22.12e\n",
i, sums[i].real, sums[i].imag);
}
}
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void verify (int d1, int d2, int d3, int nt,
boolean *verified, char *class) {
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int ierr, size, i;
double err, epsilon;
/*--------------------------------------------------------------------
c Sample size reference checksums
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
c Class S size reference checksums
c-------------------------------------------------------------------*/
double vdata_real_s[6+1] = { 0.0,
5.546087004964e+02,
5.546385409189e+02,
5.546148406171e+02,
5.545423607415e+02,
5.544255039624e+02,
5.542683411902e+02 };
double vdata_imag_s[6+1] = { 0.0,
4.845363331978e+02,
4.865304269511e+02,
4.883910722336e+02,
4.901273169046e+02,
4.917475857993e+02,
4.932597244941e+02 };
/*--------------------------------------------------------------------
c Class W size reference checksums
c-------------------------------------------------------------------*/
double vdata_real_w[6+1] = { 0.0,
5.673612178944e+02,
5.631436885271e+02,
5.594024089970e+02,
5.560698047020e+02,
5.530898991250e+02,
5.504159734538e+02 };
double vdata_imag_w[6+1] = { 0.0,
5.293246849175e+02,
5.282149986629e+02,
5.270996558037e+02,
5.260027904925e+02,
5.249400845633e+02,
5.239212247086e+02 };
/*--------------------------------------------------------------------
c Class A size reference checksums
c-------------------------------------------------------------------*/
double vdata_real_a[6+1] = { 0.0,
5.046735008193e+02,
5.059412319734e+02,
5.069376896287e+02,
5.077892868474e+02,
5.085233095391e+02,
5.091487099959e+02 };
double vdata_imag_a[6+1] = { 0.0,
5.114047905510e+02,
5.098809666433e+02,
5.098144042213e+02,
5.101336130759e+02,
5.104914655194e+02,
5.107917842803e+02 };
/*--------------------------------------------------------------------
c Class B size reference checksums
c-------------------------------------------------------------------*/
double vdata_real_b[20+1] = { 0.0,
5.177643571579e+02,
5.154521291263e+02,
5.146409228649e+02,
5.142378756213e+02,
5.139626667737e+02,
5.137423460082e+02,
5.135547056878e+02,
5.133910925466e+02,
5.132470705390e+02,
5.131197729984e+02,
5.130070319283e+02,
5.129070537032e+02,
5.128182883502e+02,
5.127393733383e+02,
5.126691062020e+02,
5.126064276004e+02,
5.125504076570e+02,
5.125002331720e+02,
5.124551951846e+02,
5.124146770029e+02 };
double vdata_imag_b[20+1] = { 0.0,
5.077803458597e+02,
5.088249431599e+02,
5.096208912659e+02,
5.101023387619e+02,
5.103976610617e+02,
5.105948019802e+02,
5.107404165783e+02,
5.108576573661e+02,
5.109577278523e+02,
5.110460304483e+02,
5.111252433800e+02,
5.111968077718e+02,
5.112616233064e+02,
5.113203605551e+02,
5.113735928093e+02,
5.114218460548e+02,
5.114656139760e+02,
5.115053595966e+02,
5.115415130407e+02,
5.115744692211e+02 };
/*--------------------------------------------------------------------
c Class C size reference checksums
c-------------------------------------------------------------------*/
double vdata_real_c[20+1] = { 0.0,
5.195078707457e+02,
5.155422171134e+02,
5.144678022222e+02,
5.140150594328e+02,
5.137550426810e+02,
5.135811056728e+02,
5.134569343165e+02,
5.133651975661e+02,
5.132955192805e+02,
5.132410471738e+02,
5.131971141679e+02,
5.131605205716e+02,
5.131290734194e+02,
5.131012720314e+02,
5.130760908195e+02,
5.130528295923e+02,
5.130310107773e+02,
5.130103090133e+02,
5.129905029333e+02,
5.129714421109e+02 };
double vdata_imag_c[20+1] = { 0.0,
5.149019699238e+02,
5.127578201997e+02,
5.122251847514e+02,
5.121090289018e+02,
5.121143685824e+02,
5.121496764568e+02,
5.121870921893e+02,
5.122193250322e+02,
5.122454735794e+02,
5.122663649603e+02,
5.122830879827e+02,
5.122965869718e+02,
5.123075927445e+02,
5.123166486553e+02,
5.123241541685e+02,
5.123304037599e+02,
5.123356167976e+02,
5.123399592211e+02,
5.123435588985e+02,
5.123465164008e+02 };
epsilon = 1.0e-12;
*verified = TRUE;
*class = 'U';
if (d1 == 64 &&
d2 == 64 &&
d3 == 64 &&
nt == 6) {
*class = 'S';
for (i = 1; i <= nt; i++) {
err = (get_real(sums[i]) - vdata_real_s[i]) / vdata_real_s[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
err = (get_imag(sums[i]) - vdata_imag_s[i]) / vdata_imag_s[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
}
} else if (d1 == 128 &&
d2 == 128 &&
d3 == 32 &&
nt == 6) {
*class = 'W';
for (i = 1; i <= nt; i++) {
err = (get_real(sums[i]) - vdata_real_w[i]) / vdata_real_w[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
err = (get_imag(sums[i]) - vdata_imag_w[i]) / vdata_imag_w[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
}
} else if (d1 == 256 &&
d2 == 256 &&
d3 == 128 &&
nt == 6) {
*class = 'A';
for (i = 1; i <= nt; i++) {
err = (get_real(sums[i]) - vdata_real_a[i]) / vdata_real_a[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
err = (get_imag(sums[i]) - vdata_imag_a[i]) / vdata_imag_a[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
}
} else if (d1 == 512 &&
d2 == 256 &&
d3 == 256 &&
nt == 20) {
*class = 'B';
for (i = 1; i <= nt; i++) {
err = (get_real(sums[i]) - vdata_real_b[i]) / vdata_real_b[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
err = (get_imag(sums[i]) - vdata_imag_b[i]) / vdata_imag_b[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
}
} else if (d1 == 512 &&
d2 == 512 &&
d3 == 512 &&
nt == 20) {
*class = 'C';
for (i = 1; i <= nt; i++) {
err = (get_real(sums[i]) - vdata_real_c[i]) / vdata_real_c[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
err = (get_imag(sums[i]) - vdata_imag_c[i]) / vdata_imag_c[i];
if (fabs(err) > epsilon) {
*verified = FALSE;
break;
}
}
}
if (*class != 'U') {
printf("Result verification successful\n");
} else {
printf("Result verification failed\n");
}
printf("class = %1c\n", *class);
}
|
channel.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% CCCC H H AAA N N N N EEEEE L %
% C H H A A NN N NN N E L %
% C HHHHH AAAAA N N N N N N EEE L %
% C H H A A N NN N NN E L %
% CCCC H H A A N N N N EEEEE LLLLL %
% %
% %
% MagickCore Image Channel Methods %
% %
% Software Design %
% Cristy %
% December 2003 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "magick/studio.h"
#include "magick/cache-private.h"
#include "magick/channel.h"
#include "magick/color-private.h"
#include "magick/colorspace-private.h"
#include "magick/composite-private.h"
#include "magick/exception-private.h"
#include "magick/enhance.h"
#include "magick/image.h"
#include "magick/list.h"
#include "magick/log.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/pixel-accessor.h"
#include "magick/resource_.h"
#include "magick/string-private.h"
#include "magick/thread-private.h"
#include "magick/token.h"
#include "magick/utility.h"
#include "magick/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o m b i n e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CombineImages() combines one or more images into a single image. The
% grayscale value of the pixels of each image in the sequence is assigned in
% order to the specified channels of the combined image. The typical
% ordering would be image 1 => Red, 2 => Green, 3 => Blue, etc.
%
% The format of the CombineImages method is:
%
% Image *CombineImages(const Image *image,const ChannelType channel,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CombineImages(const Image *image,const ChannelType channel,
ExceptionInfo *exception)
{
#define CombineImageTag "Combine/Image"
CacheView
*combine_view;
const Image
*next;
Image
*combine_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Ensure the image are the same size.
*/
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);
for (next=image; next != (Image *) NULL; next=GetNextImageInList(next))
{
if ((next->columns != image->columns) || (next->rows != image->rows))
ThrowImageException(OptionError,"ImagesAreNotTheSameSize");
}
combine_image=CloneImage(image,0,0,MagickTrue,exception);
if (combine_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(combine_image,DirectClass) == MagickFalse)
{
InheritException(exception,&combine_image->exception);
combine_image=DestroyImage(combine_image);
return((Image *) NULL);
}
if (IssRGBCompatibleColorspace(image->colorspace) != MagickFalse)
{
if (fabs(image->gamma-1.0) <= MagickEpsilon)
(void) SetImageColorspace(combine_image,RGBColorspace);
else
(void) SetImageColorspace(combine_image,sRGBColorspace);
}
if ((channel & OpacityChannel) != 0)
combine_image->matte=MagickTrue;
(void) SetImageBackgroundColor(combine_image);
/*
Combine images.
*/
status=MagickTrue;
progress=0;
combine_view=AcquireAuthenticCacheView(combine_image,exception);
for (y=0; y < (ssize_t) combine_image->rows; y++)
{
CacheView
*image_view;
const Image
*next;
PixelPacket
*pixels;
const PixelPacket
*magick_restrict p;
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
pixels=GetCacheViewAuthenticPixels(combine_view,0,y,combine_image->columns,
1,exception);
if (pixels == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
next=image;
if (((channel & RedChannel) != 0) && (next != (Image *) NULL))
{
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
q=pixels;
for (x=0; x < (ssize_t) combine_image->columns; x++)
{
SetPixelRed(q,ClampToQuantum(GetPixelIntensity(image,p)));
p++;
q++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (((channel & GreenChannel) != 0) && (next != (Image *) NULL))
{
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
q=pixels;
for (x=0; x < (ssize_t) combine_image->columns; x++)
{
SetPixelGreen(q,ClampToQuantum(GetPixelIntensity(image,p)));
p++;
q++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (((channel & BlueChannel) != 0) && (next != (Image *) NULL))
{
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
q=pixels;
for (x=0; x < (ssize_t) combine_image->columns; x++)
{
SetPixelBlue(q,ClampToQuantum(GetPixelIntensity(image,p)));
p++;
q++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (((channel & OpacityChannel) != 0) && (next != (Image *) NULL))
{
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
q=pixels;
for (x=0; x < (ssize_t) combine_image->columns; x++)
{
SetPixelAlpha(q,ClampToQuantum(GetPixelIntensity(image,p)));
p++;
q++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (((channel & IndexChannel) != 0) &&
(image->colorspace == CMYKColorspace) && (next != (Image *) NULL))
{
IndexPacket
*indexes;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
if (p == (const PixelPacket *) NULL)
continue;
indexes=GetCacheViewAuthenticIndexQueue(combine_view);
for (x=0; x < (ssize_t) combine_image->columns; x++)
{
SetPixelIndex(indexes+x,ClampToQuantum(GetPixelIntensity(image,p)));
p++;
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (SyncCacheViewAuthenticPixels(combine_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,CombineImageTag,progress,
combine_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
combine_view=DestroyCacheView(combine_view);
if (IsGrayColorspace(combine_image->colorspace) != MagickFalse)
(void) TransformImageColorspace(combine_image,sRGBColorspace);
if (status == MagickFalse)
combine_image=DestroyImage(combine_image);
return(combine_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e A l p h a C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageAlphaChannel() returns MagickFalse if the image alpha channel is
% not activated. That is, the image is RGB rather than RGBA or CMYK rather
% than CMYKA.
%
% The format of the GetImageAlphaChannel method is:
%
% MagickBooleanType GetImageAlphaChannel(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType GetImageAlphaChannel(const Image *image)
{
assert(image != (const Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
return(image->matte);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e p a r a t e I m a g e C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SeparateImageChannel() separates a channel from the image and returns it as
% a grayscale image. A channel is a particular color component of each pixel
% in the image.
%
% The format of the SeparateImageChannel method is:
%
% MagickBooleanType SeparateImageChannel(Image *image,
% const ChannelType channel)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: Identify which channel to extract: RedChannel, GreenChannel,
% BlueChannel, OpacityChannel, CyanChannel, MagentaChannel,
% YellowChannel, or BlackChannel.
%
*/
MagickExport Image *SeparateImage(const Image *image,const ChannelType channel,
ExceptionInfo *exception)
{
Image
*separate_image;
MagickBooleanType
status;
/*
Initialize separate 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);
separate_image=CloneImage(image,0,0,MagickTrue,exception);
if (separate_image == (Image *) NULL)
return((Image *) NULL);
status=SeparateImageChannel(separate_image,channel);
if (status == MagickFalse)
separate_image=DestroyImage(separate_image);
return(separate_image);
}
MagickExport MagickBooleanType SeparateImageChannel(Image *image,
const ChannelType channel)
{
#define SeparateImageTag "Separate/Image"
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
if (channel == GrayChannels)
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
/*
Separate image channels.
*/
status=MagickTrue;
progress=0;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
IndexPacket
*magick_restrict indexes;
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
switch (channel)
{
case RedChannel:
{
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelGreen(q,GetPixelRed(q));
SetPixelBlue(q,GetPixelRed(q));
q++;
}
break;
}
case GreenChannel:
{
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,GetPixelGreen(q));
SetPixelBlue(q,GetPixelGreen(q));
q++;
}
break;
}
case BlueChannel:
{
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,GetPixelBlue(q));
SetPixelGreen(q,GetPixelBlue(q));
q++;
}
break;
}
case OpacityChannel:
{
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,GetPixelOpacity(q));
SetPixelGreen(q,GetPixelOpacity(q));
SetPixelBlue(q,GetPixelOpacity(q));
q++;
}
break;
}
case BlackChannel:
{
if ((image->storage_class != PseudoClass) &&
(image->colorspace != CMYKColorspace))
break;
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,GetPixelIndex(indexes+x));
SetPixelGreen(q,GetPixelIndex(indexes+x));
SetPixelBlue(q,GetPixelIndex(indexes+x));
q++;
}
break;
}
case TrueAlphaChannel:
{
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelRed(q,GetPixelAlpha(q));
SetPixelGreen(q,GetPixelAlpha(q));
SetPixelBlue(q,GetPixelAlpha(q));
q++;
}
break;
}
case GrayChannels:
{
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelAlpha(q,ClampToQuantum(GetPixelIntensity(image,q)));
q++;
}
break;
}
default:
break;
}
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,SeparateImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
if (channel != GrayChannels)
{
image->matte=MagickFalse;
(void) SetImageColorspace(image,GRAYColorspace);
}
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e p a r a t e I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SeparateImages() returns a separate grayscale image for each channel
% specified.
%
% The format of the SeparateImages method is:
%
% MagickBooleanType SeparateImages(const Image *image,
% const ChannelType channel,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: Identify which channels to extract: RedChannel, GreenChannel,
% BlueChannel, OpacityChannel, CyanChannel, MagentaChannel,
% YellowChannel, or BlackChannel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SeparateImages(const Image *image,const ChannelType channel,
ExceptionInfo *exception)
{
Image
*images,
*separate_image;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
images=NewImageList();
if ((channel & RedChannel) != 0)
{
separate_image=CloneImage(image,0,0,MagickTrue,exception);
(void) SeparateImageChannel(separate_image,RedChannel);
AppendImageToList(&images,separate_image);
}
if ((channel & GreenChannel) != 0)
{
separate_image=CloneImage(image,0,0,MagickTrue,exception);
(void) SeparateImageChannel(separate_image,GreenChannel);
AppendImageToList(&images,separate_image);
}
if ((channel & BlueChannel) != 0)
{
separate_image=CloneImage(image,0,0,MagickTrue,exception);
(void) SeparateImageChannel(separate_image,BlueChannel);
AppendImageToList(&images,separate_image);
}
if (((channel & BlackChannel) != 0) && (image->colorspace == CMYKColorspace))
{
separate_image=CloneImage(image,0,0,MagickTrue,exception);
(void) SeparateImageChannel(separate_image,BlackChannel);
AppendImageToList(&images,separate_image);
}
if ((channel & AlphaChannel) != 0)
{
separate_image=CloneImage(image,0,0,MagickTrue,exception);
(void) SeparateImageChannel(separate_image,TrueAlphaChannel);
AppendImageToList(&images,separate_image);
}
return(images);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e A l p h a C h a n n e l %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageAlphaChannel() activates, deactivates, resets, or sets the alpha
% channel.
%
% The format of the SetImageAlphaChannel method is:
%
% MagickBooleanType SetImageAlphaChannel(Image *image,
% const AlphaChannelType alpha_type)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o alpha_type: The alpha channel type: ActivateAlphaChannel,
% AssociateAlphaChannel, CopyAlphaChannel, Disassociate,
% DeactivateAlphaChannel, ExtractAlphaChannel, OpaqueAlphaChannel,
% ResetAlphaChannel, SetAlphaChannel, ShapeAlphaChannel, and
% TransparentAlphaChannel.
%
*/
MagickExport MagickBooleanType SetImageAlphaChannel(Image *image,
const AlphaChannelType alpha_type)
{
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
exception=(&image->exception);
status=MagickTrue;
switch (alpha_type)
{
case ActivateAlphaChannel:
{
if (image->matte == MagickTrue)
return(status);
image->matte=MagickTrue;
break;
}
case AssociateAlphaChannel:
{
/*
Associate alpha.
*/
status=SetImageStorageClass(image,DirectClass);
if (status == MagickFalse)
break;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
gamma;
gamma=QuantumScale*GetPixelAlpha(q);
SetPixelRed(q,ClampToQuantum(gamma*GetPixelRed(q)));
SetPixelGreen(q,ClampToQuantum(gamma*GetPixelGreen(q)));
SetPixelBlue(q,ClampToQuantum(gamma*GetPixelBlue(q)));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->matte=MagickFalse;
break;
}
case BackgroundAlphaChannel:
{
IndexPacket
index;
MagickBooleanType
status;
MagickPixelPacket
background;
PixelPacket
pixel;
/*
Set transparent pixels to background color.
*/
if (image->matte == MagickFalse)
break;
status=SetImageStorageClass(image,DirectClass);
if (status == MagickFalse)
break;
GetMagickPixelPacket(image,&background);
SetMagickPixelPacket(image,&image->background_color,(const IndexPacket *)
NULL,&background);
if (image->colorspace == CMYKColorspace)
ConvertRGBToCMYK(&background);
index=0;
SetPixelPacket(image,&background,&pixel,&index);
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
IndexPacket
*magick_restrict indexes;
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (q->opacity == TransparentOpacity)
{
SetPixelRed(q,pixel.red);
SetPixelGreen(q,pixel.green);
SetPixelBlue(q,pixel.blue);
}
q++;
}
if (image->colorspace == CMYKColorspace)
{
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
SetPixelIndex(indexes+x,index);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
case CopyAlphaChannel:
case ShapeAlphaChannel:
{
/*
Special usage case for SeparateImageChannel(): copy grayscale color to
the alpha channel.
*/
status=SeparateImageChannel(image,GrayChannels);
image->matte=MagickTrue; /* make sure transparency is now on! */
if (alpha_type == ShapeAlphaChannel)
{
MagickPixelPacket
background;
/*
Reset all color channels to background color.
*/
GetMagickPixelPacket(image,&background);
SetMagickPixelPacket(image,&(image->background_color),(IndexPacket *)
NULL,&background);
(void) LevelColorsImage(image,&background,&background,MagickTrue);
}
break;
}
case DeactivateAlphaChannel:
{
if (image->matte == MagickFalse)
return(status);
image->matte=MagickFalse;
break;
}
case DisassociateAlphaChannel:
{
status=SetImageStorageClass(image,DirectClass);
if (status == MagickFalse)
break;
image->matte=MagickTrue;
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
alpha,
gamma;
alpha=QuantumScale*GetPixelAlpha(q);
gamma=PerceptibleReciprocal(alpha);
SetPixelRed(q,ClampToQuantum(gamma*GetPixelRed(q)));
SetPixelGreen(q,ClampToQuantum(gamma*GetPixelGreen(q)));
SetPixelBlue(q,ClampToQuantum(gamma*GetPixelBlue(q)));
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->matte=MagickFalse;
break;
}
case ExtractAlphaChannel:
{
status=SeparateImageChannel(image,TrueAlphaChannel);
image->matte=MagickFalse;
break;
}
case RemoveAlphaChannel:
case FlattenAlphaChannel:
{
IndexPacket
index;
MagickPixelPacket
background;
PixelPacket
pixel;
/*
Flatten image pixels over the background pixels.
*/
if (image->matte == MagickFalse)
break;
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
break;
GetMagickPixelPacket(image,&background);
SetMagickPixelPacket(image,&image->background_color,(const IndexPacket *)
NULL,&background);
if (image->colorspace == CMYKColorspace)
ConvertRGBToCMYK(&background);
(void) memset(&pixel,0,sizeof(pixel));
index=0;
SetPixelPacket(image,&background,&pixel,&index);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
IndexPacket
*magick_restrict indexes;
PixelPacket
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (PixelPacket *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
gamma,
opacity;
gamma=1.0-QuantumScale*QuantumScale*q->opacity*pixel.opacity;
opacity=(double) QuantumRange*(1.0-gamma);
gamma=PerceptibleReciprocal(gamma);
q->red=ClampToQuantum(gamma*MagickOver_((MagickRealType) q->red,
(MagickRealType) q->opacity,(MagickRealType) pixel.red,
(MagickRealType) pixel.opacity));
q->green=ClampToQuantum(gamma*MagickOver_((MagickRealType) q->green,
(MagickRealType) q->opacity,(MagickRealType) pixel.green,
(MagickRealType) pixel.opacity));
q->blue=ClampToQuantum(gamma*MagickOver_((MagickRealType) q->blue,
(MagickRealType) q->opacity,(MagickRealType) pixel.blue,
(MagickRealType) pixel.opacity));
q->opacity=ClampToQuantum(opacity);
q++;
}
if (image->colorspace == CMYKColorspace)
{
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
SetPixelIndex(indexes+x,index);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
case ResetAlphaChannel: /* deprecated */
case OpaqueAlphaChannel:
{
status=SetImageOpacity(image,OpaqueOpacity);
break;
}
case SetAlphaChannel:
{
if (image->matte == MagickFalse)
status=SetImageOpacity(image,OpaqueOpacity);
break;
}
case TransparentAlphaChannel:
{
status=SetImageOpacity(image,TransparentOpacity);
break;
}
case UndefinedAlphaChannel:
break;
}
if (status == MagickFalse)
return(status);
return(SyncImagePixelCache(image,&image->exception));
}
|
GB_unaryop__abs_uint8_fp32.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__abs_uint8_fp32
// op(A') function: GB_tran__abs_uint8_fp32
// C type: uint8_t
// A type: float
// cast: uint8_t cij ; GB_CAST_UNSIGNED(cij,aij,8)
// unaryop: cij = aij
#define GB_ATYPE \
float
#define GB_CTYPE \
uint8_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 = x ;
// casting
#define GB_CASTING(z, aij) \
uint8_t z ; GB_CAST_UNSIGNED(z,aij,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 (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ABS || GxB_NO_UINT8 || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__abs_uint8_fp32
(
uint8_t *Cx, // Cx and Ax may be aliased
float *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__abs_uint8_fp32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
copyprivate-clause.c | /*
* copyprivate-clause.c
*
* Created on: 09/04/2014
* Author: Carlos de la Torre
*/
#include <stdio.h>
#include <omp.h>
int main() {
int n = 9, i, b[n];
for (i = 0; i < n; i++)
b[i] = -1;
#pragma omp parallel
{
int a;
#pragma omp single copyprivate(a)
{
printf("\nIntroduce valor de inicialización a: ");
scanf("%d", &a );
printf("\nSingle ejecutada por el thread %d\n",omp_get_thread_num());
}
#pragma omp for
for (i = 0; i < n; i++)
b[i] = a;
}
printf("Depués de la región parallel:\n");
for (i = 0; i < n; i++)
printf("b[%d] = %d\t", i, b[i]);
printf("\n");
return 0;
}
|
dropout-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 dropout-inl.h
* \brief
* \author Bing Xu, Da Zheng, Hang Zhang
*/
#ifndef MXNET_OPERATOR_NN_DROPOUT_INL_H_
#define MXNET_OPERATOR_NN_DROPOUT_INL_H_
#include <dmlc/logging.h>
#include <dmlc/parameter.h>
#include <mxnet/operator.h>
#include <map>
#include <vector>
#include <string>
#include <utility>
#include <algorithm>
#include "../mxnet_op.h"
#include "../mshadow_op.h"
#include "../random/sampler.h"
#include "../tensor/elemwise_binary_broadcast_op.h"
#define MXNET_USE_MKL_DROPOUT defined(USE_MKL) && defined(_OPENMP) && !defined(__CUDACC__)
#if MXNET_USE_MKL_DROPOUT
#include <omp.h>
#include <mkl_vml_functions.h>
#include <mkl_vsl.h>
#endif // MXNET_USE_MKL_DROPOUT
#define MXNET_USE_CUDNN_DROPOUT MXNET_USE_CUDNN == 1 && CUDNN_MAJOR >= 7
namespace dropout {
enum DropoutOpInputs {kData};
enum DropoutOpOutputs {kOut, kMask};
enum DropoutOpForwardResource {kRandom};
enum DropoutOpMode {kTraining, kAlways};
} // namespace dropout
namespace mxnet {
namespace op {
const int MAX_DIM = 5;
struct DropoutParam : public dmlc::Parameter<DropoutParam> {
float p;
int mode;
mxnet::TShape axes;
dmlc::optional<bool> cudnn_off;
DMLC_DECLARE_PARAMETER(DropoutParam) {
DMLC_DECLARE_FIELD(p).set_default(0.5)
.set_range(0, 1)
.describe("Fraction of the input that gets dropped out during training time.");
DMLC_DECLARE_FIELD(mode)
.add_enum("training", dropout::kTraining)
.add_enum("always", dropout::kAlways)
.set_default(dropout::kTraining)
.describe("Whether to only turn on dropout during training or to also turn on for inference.");
DMLC_DECLARE_FIELD(axes).set_default(mxnet::TShape())
.describe("Axes for variational dropout kernel.");
DMLC_DECLARE_FIELD(cudnn_off).set_default(dmlc::optional<bool>(false))
.describe("Whether to turn off cudnn in dropout operator. "
"This option is ignored if axes is specified.");
}
}; // struct DropoutParam
template<typename xpu, typename DType>
class DropoutOp {
#if MXNET_USE_MKL_DROPOUT
static void BernoulliGenerate(common::random::RandGenerator<cpu, DType> gen,
int n, double p, int* r) {
typename RandGenerator<xpu, DType>::Impl genImpl(&gen, 1);
const int seed = 17 + abs(genImpl.rand() % 4096);
CHECK_GE(seed, 0);
const int nthr = engine::OpenMP::Get()->GetRecommendedOMPThreadCount();
#pragma omp parallel num_threads(nthr)
{
const int ithr = omp_get_thread_num();
const int avg_amount = (n + nthr - 1) / nthr;
const int my_offset = ithr * avg_amount;
const int my_amount = std::min(my_offset + avg_amount, n) - my_offset;
if (my_amount > 0) {
VSLStreamStatePtr stream;
vslNewStream(&stream, VSL_BRNG_MCG31, seed);
vslSkipAheadStream(stream, my_offset);
viRngBernoulli(VSL_RNG_METHOD_BERNOULLI_ICDF, stream, my_amount, r + my_offset, p);
vslDeleteStream(&stream);
}
}
}
static inline bool MKLAvailable() {
// BernoulliGenerate expects an array int, so for types smaller than int, the mask buffer
// will be too small, so we can;t use MKL in those cases
return sizeof(DType) >= sizeof(int);
}
// MKL forward pass
inline void MKLForward(const OpContext &ctx,
const std::vector<TBlob> &in_data,
const std::vector<TBlob> &out_data) {
Stream<xpu> *s = ctx.get_stream<xpu>();
RandGenerator<xpu, DType> *pgen = ctx.requested[0].get_parallel_random<xpu, DType>();
CHECK_NOTNULL(pgen);
Tensor<xpu, 2, DType> mask = out_data[dropout::kMask].FlatTo2D<xpu, DType>(s);
Tensor<xpu, 2, DType> data = in_data[dropout::kData].FlatTo2D<xpu, DType>(s);
Tensor<xpu, 2, DType> out = out_data[dropout::kOut].FlatTo2D<xpu, DType>(s);
DType *outptr = out.dptr_;
DType *dataptr = data.dptr_;
auto maskptr = reinterpret_cast<int *>(mask.dptr_);
int count = mask.shape_[0] * mask.shape_[1];
BernoulliGenerate(*pgen, count, this->pkeep_, maskptr);
const float pk_1 = 1.0f / this->pkeep_;
#pragma omp parallel for num_threads(engine::OpenMP::Get()->GetRecommendedOMPThreadCount())
for (int i = 0; i < count; ++i) {
outptr[i] = dataptr[i] * maskptr[i] * pk_1;
}
}
// MKL backward pass
inline void MKLBackward(const OpContext &ctx,
const std::vector<TBlob> &in_grad,
const std::vector<TBlob> &out_data,
const std::vector<TBlob> &out_grad) {
Stream<xpu> *s = ctx.get_stream<xpu>();
Tensor<xpu, 2, DType> grad = out_grad[dropout::kOut].FlatTo2D<xpu, DType>(s);
Tensor<xpu, 2, DType> mask = out_data[dropout::kMask].FlatTo2D<xpu, DType>(s);
Tensor<xpu, 2, DType> gdata = in_grad[dropout::kData].FlatTo2D<xpu, DType>(s);
DType *ingradptr = gdata.dptr_;
const DType *outgradptr = grad.dptr_;
auto maskptr = reinterpret_cast<int *>(mask.dptr_);
int count = mask.shape_[0] * mask.shape_[1];
const float pk_1 = 1.0f / this->pkeep_;
#pragma omp parallel for num_threads(engine::OpenMP::Get()->GetRecommendedOMPThreadCount())
for (int i = 0; i < count; ++i) {
ingradptr[i] = outgradptr[i] * maskptr[i] * pk_1;
}
}
#endif // #if MXNET_USE_MKL_DROPOUT
public:
/*!
* \brief Dropout kernel, compute dropout tensor
*/
struct DropoutKernel {
/*!
* \brief Dropout kernel function
* \param id Thread number (0-based representing count)
* \param gen Random number generator
* \param N Total number of items in the output
* \param step Step between items, related to parallelism
* \param dropout_out Output dropout values
* \param mask_out Output mask (is multiplied to create dropout output, may be 0)
* \param input_data Input data to perform the dropout on
* \param pkeep Dropout rate (keep when the generated random number is less than this value)
*/
MSHADOW_XINLINE static void Map(int id,
RandGenerator<xpu, DType> gen,
const int N,
const int step,
DType *dropout_out,
DType *mask_out,
const DType *input_data,
const real_t pkeep) {
RNG_KERNEL_LOOP(xpu, DType, id, gen, N, step, {
const real_t rand_num = static_cast<real_t>(genImpl.uniform());
mask_out[i] = mshadow_op::threshold_eq::Map<real_t>(rand_num, pkeep) * (1.0f / pkeep);
dropout_out[i] = input_data[i] * mask_out[i];
});
}
};
struct BernoulliKernel {
/*! \brief Bernoulli kernel for generating mask */
MSHADOW_XINLINE static void Map(int id,
RandGenerator<xpu, DType> gen,
const int N,
const int step,
DType *mask_out,
const real_t pkeep) {
RNG_KERNEL_LOOP(xpu, DType, id, gen, N, step, {
const real_t rand_num = static_cast<real_t>(genImpl.uniform());
mask_out[i] = mshadow_op::threshold::Map<real_t>(rand_num, pkeep) * (1.0f / pkeep);
});
}
};
explicit DropoutOp(const DropoutParam ¶m, Context ctx) {
this->pkeep_ = 1.0f - param.p;
this->mode_ = static_cast<dropout::DropoutOpMode>(param.mode);
this->axes_ = param.axes;
this->dropout_passthrough_ = true;
#if MXNET_USE_CUDNN_DROPOUT
this->cudnn_off_ = param.cudnn_off && param.cudnn_off.value();
this->ctx_ = ctx;
if (ctx.dev_type == kGPU && this->pkeep_ > 0 && !this->cudnn_off_) {
dtype_ = mshadow::DataType<DType>::kCudnnFlag;
CUDNN_CALL(cudnnCreateTensorDescriptor(&x_desc_));
CUDNN_CALL(cudnnCreateTensorDescriptor(&y_desc_));
CUDNN_CALL(cudnnCreateTensorDescriptor(&dx_desc_));
CUDNN_CALL(cudnnCreateTensorDescriptor(&dy_desc_));
CUDNN_CALL(cudnnCreateDropoutDescriptor(&dropout_desc_));
}
#endif // MXNET_USE_CUDNN_DROPOUT
}
~DropoutOp() {
#if MXNET_USE_CUDNN_DROPOUT
if (this->ctx_.dev_type == kGPU && this->pkeep_ > 0 && !this->cudnn_off_) {
CUDNN_CALL(cudnnDestroyTensorDescriptor(x_desc_));
CUDNN_CALL(cudnnDestroyTensorDescriptor(y_desc_));
CUDNN_CALL(cudnnDestroyTensorDescriptor(dx_desc_));
CUDNN_CALL(cudnnDestroyTensorDescriptor(dy_desc_));
CUDNN_CALL(cudnnDestroyDropoutDescriptor(dropout_desc_));
}
#endif // MXNET_USE_CUDNN_DROPOUT
}
#if MXNET_USE_CUDNN_DROPOUT && defined(__CUDACC__)
inline bool CuDNNAvailable() {
return this->pkeep_ > 0 && !this->cudnn_off_;
}
inline void CuDNNForward(const OpContext &ctx,
const TBlob &in,
const TBlob &mask,
const TBlob &out) {
Stream<xpu> *s = ctx.get_stream<xpu>();
// set dropout state.
ctx.requested[0].get_cudnn_dropout_desc(&dropout_desc_, s, 1.0f - this->pkeep_, seed_);
// describe input/output tensor
int dim[4], stride[4];
dim[0] = 1;
dim[1] = 1;
dim[2] = 1;
dim[3] = out.Size();
stride[0] = out.Size();
stride[1] = out.Size();
stride[2] = out.Size();
stride[3] = 1;
CUDNN_CALL(cudnnSetTensorNdDescriptor(x_desc_,
dtype_,
4,
dim,
stride));
CUDNN_CALL(cudnnSetTensorNdDescriptor(y_desc_,
dtype_,
4,
dim,
stride));
// perform dropout with cudnn
CUDNN_CALL(cudnnDropoutGetReserveSpaceSize(x_desc_, &dropout_reserve_byte_));
// cudnn uses bits to record the positions that are dropped, so reserve bytes is always
// 1/8 of input size.
CHECK_GE(mask.Size() * sizeof(DType), dropout_reserve_byte_) <<
"The size of the mask space is smaller than the required cudnn reserved space.";
CUDNN_CALL(cudnnDropoutForward(s->dnn_handle_,
dropout_desc_,
x_desc_,
in.dptr<DType>(),
y_desc_,
out.dptr<DType>(),
mask.dptr<DType>(),
dropout_reserve_byte_));
}
inline void CuDNNBackward(const OpContext &ctx,
const TBlob &out_grad,
const TBlob &mask,
const TBlob &in_grad) {
Stream<xpu> *s = ctx.get_stream<xpu>();
// describe input/output tensor
int dim[4], stride[4];
dim[0] = 1;
dim[1] = 1;
dim[2] = 1;
dim[3] = in_grad.Size();
stride[0] = in_grad.Size();
stride[1] = in_grad.Size();
stride[2] = in_grad.Size();
stride[3] = 1;
CUDNN_CALL(cudnnSetTensorNdDescriptor(dy_desc_,
dtype_,
4,
dim,
stride));
CUDNN_CALL(cudnnSetTensorNdDescriptor(dx_desc_,
dtype_,
4,
dim,
stride));
// perform dropout with cudnn
CUDNN_CALL(cudnnDropoutBackward(s->dnn_handle_,
dropout_desc_,
dy_desc_,
out_grad.dptr<DType>(),
dx_desc_,
in_grad.dptr<DType>(),
mask.dptr<DType>(),
dropout_reserve_byte_));
}
#endif // MXNET_USE_CUDNN_DROPOUT && defined(__CUDACC__)
void Forward(const OpContext &ctx,
const std::vector<TBlob> &in_data,
const std::vector<OpReqType> &req,
const std::vector<TBlob> &out_data) {
this->dropout_passthrough_ = true;
if (req[dropout::kOut] != kNullOp) {
CHECK_EQ(in_data.size(), 1U);
if (ctx.is_train) {
CHECK_EQ(out_data.size(), 2U);
}
Stream<xpu> *s = ctx.get_stream<xpu>();
const TBlob &in = in_data[dropout::kData];
const TBlob &out = out_data[dropout::kOut];
const TBlob &mask = out_data[dropout::kMask];
if (this->pkeep_ < 1 && (ctx.is_train || this->mode_ == dropout::kAlways)) {
this->dropout_passthrough_ = false;
if (this->axes_.ndim() == 0) {
#if MXNET_USE_MKL_DROPOUT
if (MKLAvailable()) {
MKLForward(ctx, in_data, out_data);
return;
}
#endif // MXNET_USE_MKL_DROPOUT
#if MXNET_USE_CUDNN_DROPOUT && defined(__CUDACC__)
if (CuDNNAvailable()) {
CuDNNForward(ctx, in, mask, out);
return;
}
#endif // MXNET_USE_CUDNN_DROPOUT && defined(__CUDACC__)
RandGenerator<xpu, DType> *pgen = ctx.requested[0].get_parallel_random<xpu, DType>();
CHECK_NOTNULL(pgen);
CHECK(req[dropout::kOut] != kAddTo);
LaunchRNG<DropoutKernel, xpu>(s, pgen, out.Size(),
out.dptr<DType>(),
mask.dptr<DType>(),
in.dptr<DType>(),
this->pkeep_);
return;
} else {
RandGenerator<xpu, DType> *pgen = ctx.requested[0].get_parallel_random<xpu, DType>();
CHECK_NOTNULL(pgen);
// initialize the mask
LaunchRNG<BernoulliKernel, xpu>(s, pgen, mask.Size(),
mask.dptr<DType>(),
this->pkeep_);
// broadcast mul
mxnet::TShape new_lshape, new_rshape, new_oshape;
int ndim = BinaryBroadcastShapeCompact(in.shape_,
mask.shape_, out.shape_,
&new_lshape, &new_rshape, &new_oshape);
if (!ndim) {
MXNET_ASSIGN_REQ_SWITCH(req[dropout::kOut], Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<mshadow_op::mul, Req>, xpu>::Launch(
s, out.Size(), out.dptr<DType>(), in.dptr<DType>(),
mask.dptr<DType>());
});
} else {
BROADCAST_NDIM_SWITCH(ndim, NDim, {
mshadow::Shape<NDim> oshape = new_oshape.get<NDim>();
mshadow::Shape<NDim> lstride = mxnet_op::calc_stride(new_lshape.get<NDim>());
mshadow::Shape<NDim> rstride = mxnet_op::calc_stride(new_rshape.get<NDim>());
mxnet_op::Kernel<mxnet_op::binary_broadcast_kernel<NDim, DType,
mshadow_op::mul>, xpu>::
template LaunchEx(s, new_oshape.Size(), req[dropout::kOut],
lstride, rstride, oshape,
in.dptr<DType>(),
mask.dptr<DType>(), out.dptr<DType>());
});
}
}
} else {
MXNET_ASSIGN_REQ_SWITCH(req[dropout::kOut], Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<mshadow_op::identity, Req>, xpu>::Launch(
s, out.Size(), out.dptr<DType>(), in.dptr<DType>());
});
}
}
}
void Backward(const OpContext &ctx,
const std::vector<TBlob> &out_grad,
const std::vector<TBlob> &out_data,
const std::vector<OpReqType> &req,
const std::vector<TBlob> &in_grad) {
using namespace mshadow;
using namespace mshadow::expr;
Stream<xpu> *s = ctx.get_stream<xpu>();
if (!this->dropout_passthrough_) {
this->dropout_passthrough_ = true;
const TBlob &gdata = in_grad[dropout::kData];
const TBlob &grad = out_grad[dropout::kOut];
const TBlob &mask = out_data[dropout::kMask];
if (this->axes_.ndim() == 0) {
#if MXNET_USE_MKL_DROPOUT
if (MKLAvailable()) {
MKLBackward(ctx, in_grad, out_data, out_grad);
return;
}
#endif // MXNET_USE_MKL_DROPOUT
#if MXNET_USE_CUDNN_DROPOUT && defined(__CUDACC__)
if (CuDNNAvailable()) {
CuDNNBackward(ctx, grad, mask, gdata);
return;
}
#endif // MXNET_USE_CUDNN_DROPOUT && defined(__CUDACC__)
// standard case for dropout
CHECK_EQ(grad.Size(), mask.Size());
MXNET_ASSIGN_REQ_SWITCH(req[dropout::kData], Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<mshadow_op::mul, Req>, xpu>::Launch(
s, gdata.Size(), gdata.dptr<DType>(), grad.dptr<DType>(), mask.dptr<DType>());
});
return;
} else {
// broardcast mul
mxnet::TShape new_lshape, new_rshape, new_oshape;
int ndim = BinaryBroadcastShapeCompact(grad.shape_,
mask.shape_, gdata.shape_,
&new_lshape, &new_rshape, &new_oshape);
if (!ndim) {
MXNET_ASSIGN_REQ_SWITCH(req[dropout::kData], Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<mshadow_op::mul, Req>, xpu>::Launch(
s, gdata.Size(), gdata.dptr<DType>(), grad.dptr<DType>(), mask.dptr<DType>());
});
} else {
BROADCAST_NDIM_SWITCH(ndim, NDim, {
mshadow::Shape<NDim> oshape = new_oshape.get<NDim>();
mshadow::Shape<NDim> lstride = mxnet_op::calc_stride(new_lshape.get<NDim>());
mshadow::Shape<NDim> rstride = mxnet_op::calc_stride(new_rshape.get<NDim>());
mxnet_op::Kernel<mxnet_op::binary_broadcast_kernel<NDim, DType,
mshadow_op::mul>, xpu>::
template LaunchEx(s, new_oshape.Size(), req[0], lstride, rstride, oshape,
grad.dptr<DType>(), mask.dptr<DType>(), gdata.dptr<DType>());
});
}
}
} else {
const TBlob& gdata = in_grad[dropout::kData];
const TBlob& grad = out_grad[dropout::kOut];
MXNET_ASSIGN_REQ_SWITCH(req[dropout::kData], Req, {
mxnet_op::Kernel<mxnet_op::op_with_req<mshadow_op::identity, Req>, xpu>::Launch(
s, gdata.Size(), gdata.dptr<DType>(), grad.dptr<DType>());
});
}
}
private:
/*! \brief Dropout rate (keep when the generated random number is less than this value) */
real_t pkeep_;
/*! \brief Dropout mode */
dropout::DropoutOpMode mode_;
/*! \brief Axes on which dropout mask is shared in the form of broadcast multiply */
mxnet::TShape axes_;
/*! \brief Flag to record whether forward is executed in pass-through mode */
bool dropout_passthrough_;
#if MXNET_USE_CUDNN_DROPOUT
bool cudnn_off_;
Context ctx_;
cudnnDataType_t dtype_;
cudnnDropoutDescriptor_t dropout_desc_;
uint64_t seed_ = 17 + rand() % 4096; // NOLINT(runtime/threadsafe_fn)
size_t dropout_reserve_byte_;
cudnnTensorDescriptor_t x_desc_, y_desc_, dx_desc_, dy_desc_;
#endif // MXNET_USE_CUDNN_DROPOUT
}; // class DropoutOp
static OpStatePtr CreateDropoutState(const nnvm::NodeAttrs &attrs,
const Context ctx,
const mxnet::ShapeVector &in_shapes,
const std::vector<int> &in_types) {
const DropoutParam& param = nnvm::get<DropoutParam>(attrs.parsed);
OpStatePtr state;
MSHADOW_REAL_TYPE_SWITCH(in_types[dropout::kData], DType, {
if (ctx.dev_type == kGPU) {
state = OpStatePtr::Create<DropoutOp<gpu, DType>>(param, ctx);
} else {
state = OpStatePtr::Create<DropoutOp<cpu, DType>>(param, ctx);
}
return state;
});
LOG(FATAL) << "should never reach here";
return OpStatePtr(); // should never reach here
}
template<typename xpu>
void DropoutCompute(const OpStatePtr& state,
const OpContext& ctx,
const std::vector<TBlob>& inputs,
const std::vector<OpReqType>& req,
const std::vector<TBlob>& outputs) {
MSHADOW_REAL_TYPE_SWITCH(inputs[0].type_flag_, DType, {
DropoutOp<xpu, DType>& op = state.get_state<DropoutOp<xpu, DType>>();
op.Forward(ctx, inputs, req, outputs);
});
}
template<typename xpu>
void DropoutGradCompute(const OpStatePtr& state,
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(), 1);
CHECK_EQ(req.size(), 1);
std::vector<TBlob> out_grads(2);
std::vector<TBlob> out_data(2);
out_grads[dropout::kOut] = inputs[0];
out_data[dropout::kMask] = inputs[1];
MSHADOW_REAL_TYPE_SWITCH(inputs[0].type_flag_, DType, {
DropoutOp<xpu, DType>& op = state.get_state<DropoutOp<xpu, DType>>();
op.Backward(ctx, out_grads, out_data, req, outputs);
});
}
} // namespace op
} // namespace mxnet
#undef MXNET_USE_MKL_DROPOUT
#endif // MXNET_OPERATOR_NN_DROPOUT_INL_H_
|
zlascl.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @precisions normal z -> s d c
*
**/
#include "plasma.h"
#include "plasma_async.h"
#include "plasma_context.h"
#include "plasma_descriptor.h"
#include "plasma_internal.h"
#include "plasma_tuning.h"
#include "plasma_types.h"
#include <math.h>
/******************************************************************************/
int plasma_zlascl(plasma_enum_t uplo,
double cfrom, double cto,
int m, int n,
plasma_complex64_t *pA, int lda)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_error("PLASMA not initialized");
return PlasmaErrorNotInitialized;
}
// Check input arguments.
if ((uplo != PlasmaGeneral) &&
(uplo != PlasmaUpper) &&
(uplo != PlasmaLower)) {
plasma_error("illegal value of uplo");
return -1;
}
if (cfrom == 0.0 || isnan(cfrom)) {
plasma_error("illegal value of cfrom");
return -2;
}
if (isnan(cto)) {
plasma_error("illegal value of cto");
return -3;
}
if (m < 0) {
plasma_error("illegal value of m");
return -4;
}
if (n < 0) {
plasma_error("illegal value of n");
return -5;
}
if (lda < imax(1, m)) {
plasma_error("illegal value of lda");
return -7;
}
// quick return
if (imin(n, m) == 0)
return PlasmaSuccess;
// Tune parameters.
if (plasma->tuning)
plasma_tune_lascl(plasma, PlasmaComplexDouble, m, n);
// Set tiling parameters.
int nb = plasma->nb;
// Create tile matrices.
plasma_desc_t A;
int retval;
retval = plasma_desc_general_create(PlasmaComplexDouble, nb, nb,
m, n, 0, 0, m, n, &A);
if (retval != PlasmaSuccess) {
plasma_error("plasma_general_desc_create() failed");
return retval;
}
// Initialize sequence.
plasma_sequence_t sequence;
retval = plasma_sequence_init(&sequence);
// Initialize request.
plasma_request_t request;
retval = plasma_request_init(&request);
// asynchronous block
#pragma omp parallel
#pragma omp master
{
// Translate to tile layout.
plasma_omp_zge2desc(pA, lda, A, &sequence, &request);
// Call tile async function.
plasma_omp_zlascl(uplo, cfrom, cto, A, &sequence, &request);
// Translate back to LAPACK layout.
plasma_omp_zdesc2ge(A, pA, lda, &sequence, &request);
}
// implicit synchronization
// Free matrices in tile layout.
plasma_desc_destroy(&A);
// Return status.
int status = sequence.status;
return status;
}
/******************************************************************************/
void plasma_omp_zlascl(plasma_enum_t uplo,
double cfrom, double cto,
plasma_desc_t A,
plasma_sequence_t *sequence, plasma_request_t *request)
{
// Get PLASMA context.
plasma_context_t *plasma = plasma_context_self();
if (plasma == NULL) {
plasma_error("PLASMA not initialized");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// Check input arguments.
if ((uplo != PlasmaGeneral) &&
(uplo != PlasmaUpper) &&
(uplo != PlasmaLower)) {
plasma_error("illegal value of uplo");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (cfrom == 0.0 || isnan(cfrom)) {
plasma_error("illegal value of cfrom");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (isnan(cto)) {
plasma_error("illegal value of cto");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (plasma_desc_check(A) != PlasmaSuccess) {
plasma_error("invalid A");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (sequence == NULL) {
plasma_error("NULL sequence");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
if (request == NULL) {
plasma_error("NULL request");
plasma_request_fail(sequence, request, PlasmaErrorIllegalValue);
return;
}
// quick return
if (imin(A.m, A.n) == 0)
return;
// Call the parallel function.
plasma_pzlascl(uplo, cfrom, cto, A, sequence, request);
}
|
my_lib_nd_cp.c | #ifndef no_openmp
#include <omp.h>
#endif
#include <TH/TH.h>
#include <THTensor.h>
#include <stdbool.h>
#include <stdio.h>
#define real float
int BilinearSamplerBXC_updateOutput_1D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int zero_boundary)
{
// *B*atch, *X*-coors, *C*hannel
//inputImages->(size|stride).(.).
//THTensor_$1(inputImages,$2)
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,1);
int inputImages_C = THFloatTensor_size(inputImages,2);
int output_X = THFloatTensor_size(output,1);
int output_C = THFloatTensor_size(output,2);
bool zero_boundary_bool = zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_stride_X = THFloatTensor_stride(output,1);
int output_stride_C = THFloatTensor_stride(output,2);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,1);
int inputImages_stride_C = THFloatTensor_stride(inputImages,2);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,1);
int grids_stride_C = THFloatTensor_stride(grids,2);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < output_X; xOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + xOut*grids_stride_X];
// get the weights for interpolation
int xLow;
real xWeightLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2; // map it from [-1,1] to [0,1]
xLow = floor(xcoord);
xWeightLow = 1 - (xcoord - xLow);
bool xBeyondLow = xLow < 0;
bool xBeyondHigh = xLow+1 > inputImages_X-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xLow = 0;
if (xBeyondHigh)
xLow = inputImages_X-2;
}
const int outAddress = output_strideBatch * b + output_stride_X * xOut;
const int inLowAddress = inputImages_strideBatch * b + inputImages_stride_X * xLow;
const int inHighAddress = inLowAddress + inputImages_stride_X;
real v=0;
real inLow=0;
real inHigh=0;
int t;
// interpolation happens here
for(t=0; t<inputImages_C; t++)
{
if (!zero_boundary_bool || (! (xBeyondLow || xBeyondHigh ))){
inLow = inputImages_data[inLowAddress + t];
inHigh = inputImages_data[inHighAddress + t];
}
v = xWeightLow * inLow + (1 - xWeightLow) * inHigh;
output_data[outAddress + t] = v;
}
}
}
return 1;
}
int BilinearSamplerBCX_updateOutput_1D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int zero_boundary)
{
// *B*atch, *C*hannel, *X*-coors
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,2);
int inputImages_C = THFloatTensor_size(inputImages,1);
int output_X = THFloatTensor_size(output,2);
int output_C = THFloatTensor_size(output,1);
bool zero_boundary_bool = zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_stride_X = THFloatTensor_stride(output,2);
int output_stride_C = THFloatTensor_stride(output,1);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,2);
int inputImages_stride_C = THFloatTensor_stride(inputImages,1);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,2);
int grids_stride_C = THFloatTensor_stride(grids,1);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < output_X; xOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + xOut*grids_stride_X];
// get the weights for interpolation
int xLow;
real xWeightLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2; // map it from [-1,1] to [0,1]
xLow = floor(xcoord);
xWeightLow = 1 - (xcoord - xLow);
bool xBeyondLow = xLow < 0;
bool xBeyondHigh = xLow+1 > inputImages_X-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xLow = 0;
if (xBeyondHigh)
xLow = inputImages_X-2;
}
const int outAddress = output_strideBatch * b + output_stride_X * xOut;
const int inLowAddress = inputImages_strideBatch * b + inputImages_stride_X * xLow;
const int inHighAddress = inLowAddress + inputImages_stride_X;
real v=0;
real inLow=0;
real inHigh=0;
int t;
// interpolation happens here
for(t=0; t<inputImages_C; t++)
{
if (!zero_boundary_bool || (! (xBeyondLow || xBeyondHigh ))){
inLow = inputImages_data[inLowAddress + t*inputImages_stride_C];
inHigh = inputImages_data[inHighAddress + t*inputImages_stride_C];
}
v = xWeightLow * inLow + (1 - xWeightLow) * inHigh;
output_data[outAddress + t*output_stride_C] = v;
}
}
}
return 1;
}
int BilinearSamplerBXYC_updateOutput_2D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output , int zero_boundary)
{
// This is actua
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,1);
int inputImages_Y = THFloatTensor_size(inputImages,2);
int inputImages_C = THFloatTensor_size(inputImages,3);
int output_X = THFloatTensor_size(output,1);
int output_Y = THFloatTensor_size(output,2);
bool zero_boundary_bool = zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_stride_X = THFloatTensor_stride(output,1);
int output_stride_Y = THFloatTensor_stride(output,2);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,1);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,2);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,1);
int grids_stride_Y = THFloatTensor_stride(grids,2);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < output_X; xOut++)
{
for(yOut=0; yOut < output_Y; yOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X+1];
// get the weights for interpolation
int yInLowLow, xInLowLow;
real yWeightLowLow, xWeightLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLow = floor(xcoord);
xWeightLowLow = 1 - (xcoord - xInLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLow = floor(ycoord);
yWeightLowLow = 1 - (ycoord - yInLowLow);
bool xBeyondLow = xInLowLow < 0;
bool yBeyondLow = yInLowLow < 0;
bool xBeyondHigh = xInLowLow+1 > inputImages_X-1;
bool yBeyondHigh = yInLowLow+1 > inputImages_Y-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLow = 0;
if (xBeyondHigh)
xInLowLow = inputImages_X-2;
if (yBeyondLow)
yInLowLow = 0;
if (yBeyondHigh)
yInLowLow = inputImages_Y-2;
}
const int outAddress = output_strideBatch * b + output_stride_Y * yOut + output_stride_X * xOut;
const int inLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Y * yInLowLow + inputImages_stride_X * xInLowLow;
const int inLowHighAddress = inLowLowAddress + inputImages_stride_Y;
const int inHighLowAddress = inLowLowAddress + inputImages_stride_X;
const int inHighHighAddress = inHighLowAddress + inputImages_stride_Y;
real v=0;
real inLowLow=0;
real inLowHigh=0;
real inHighLow=0;
real inHighHigh=0;
int t;
// interpolation happens here
for(t=0; t<inputImages_C; t++)
{
// if the first is for non zero condition and the second is for zero condition
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh))){
inLowLow = inputImages_data[inLowLowAddress + t];
inLowHigh = inputImages_data[inLowHighAddress + t];
inHighLow = inputImages_data[inHighLowAddress + t];
inHighHigh = inputImages_data[inHighHighAddress + t];
}
v = xWeightLowLow * yWeightLowLow * inLowLow
+ (1 - xWeightLowLow) * yWeightLowLow * inHighLow
+ xWeightLowLow * (1 - yWeightLowLow) * inLowHigh
+ (1 - xWeightLowLow) * (1 - yWeightLowLow) * inHighHigh;
output_data[outAddress + t] = v;
}
}
}
}
return 1;
}
int BilinearSamplerBXYC_updateOutput_2D_new(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output , int zero_boundary)
{
// This is actua
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,1);
int inputImages_Y = THFloatTensor_size(inputImages,2);
int inputImages_C = THFloatTensor_size(inputImages,3);
int output_X = THFloatTensor_size(output,1);
int output_Y = THFloatTensor_size(output,2);
bool zero_boundary_bool = zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_stride_X = THFloatTensor_stride(output,1);
int output_stride_Y = THFloatTensor_stride(output,2);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,1);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,2);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,1);
int grids_stride_Y = THFloatTensor_stride(grids,2);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < output_X; xOut++)
{
for(yOut=0; yOut < output_Y; yOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X+1];
// get the weights for interpolation
int yInLowLow, xInLowLow;
real yWeightLowLow, xWeightLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLow = floor(xcoord);
xWeightLowLow = 1 - (xcoord - xInLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLow = floor(ycoord);
yWeightLowLow = 1 - (ycoord - yInLowLow);
bool xBeyondLow = xf < 0.0;
bool yBeyondLow = yf < 0.0;
bool xBeyondHigh = xf >= 1.0;
bool yBeyondHigh = yf >= 1.0;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLow = 0;
if (xBeyondHigh)
xInLowLow = inputImages_X-1;
if (yBeyondLow)
yInLowLow = 0;
if (yBeyondHigh)
yInLowLow = inputImages_Y-1;
}
int outAddress = output_strideBatch * b + output_stride_Y * yOut + output_stride_X * xOut;
int inLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Y * yInLowLow + inputImages_stride_X * xInLowLow;
int inLowHighAddress = inLowLowAddress + inputImages_stride_Y;
int inHighLowAddress = inLowLowAddress + inputImages_stride_X;
int inHighHighAddress = inHighLowAddress + inputImages_stride_Y;
real v=0;
real inLowLow=0;
real inLowHigh=0;
real inHighLow=0;
real inHighHigh=0;
if (xBeyondHigh)
inHighLowAddress = inLowLowAddress;
if (yBeyondHigh)
inLowHighAddress = inLowLowAddress;
if (xBeyondHigh)
inHighHighAddress = inLowHighAddress;
if (yBeyondHigh)
inHighHighAddress = inHighLowAddress;
int t;
// interpolation happens here
for(t=0; t<inputImages_C; t++)
{
// if the first is for non zero condition and the second is for zero condition
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh))){
inLowLow = inputImages_data[inLowLowAddress + t];
inLowHigh = inputImages_data[inLowHighAddress + t];
inHighLow = inputImages_data[inHighLowAddress + t];
inHighHigh = inputImages_data[inHighHighAddress + t];
}
v = xWeightLowLow * yWeightLowLow * inLowLow
+ (1 - xWeightLowLow) * yWeightLowLow * inHighLow
+ xWeightLowLow * (1 - yWeightLowLow) * inLowHigh
+ (1 - xWeightLowLow) * (1 - yWeightLowLow) * inHighHigh;
output_data[outAddress + t] = v;
}
}
}
}
return 1;
}
int BilinearSamplerBCXY_updateOutput_2D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int zero_boundary)
{
// This is actua
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,2);
int inputImages_Y = THFloatTensor_size(inputImages,3);
int inputImages_C = THFloatTensor_size(inputImages,1);
int output_X = THFloatTensor_size(output,2);
int output_Y = THFloatTensor_size(output,3);
bool zero_boundary_bool = zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_stride_X = THFloatTensor_stride(output,2);
int output_stride_Y = THFloatTensor_stride(output,3);
int output_stride_C = THFloatTensor_stride(output,1);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,2);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,3);
int inputImages_stride_C = THFloatTensor_stride(inputImages,1);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_C = THFloatTensor_stride(grids,1);
int grids_stride_X = THFloatTensor_stride(grids,2);
int grids_stride_Y = THFloatTensor_stride(grids,3);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < output_X; xOut++)
{
for(yOut=0; yOut < output_Y; yOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X+grids_stride_C];
// get the weights for interpolation
int yInLowLow, xInLowLow;
real yWeightLowLow, xWeightLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLow = floor(xcoord);
xWeightLowLow = 1 - (xcoord - xInLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLow = floor(ycoord);
yWeightLowLow = 1 - (ycoord - yInLowLow);
bool xBeyondLow = xInLowLow < 0;
bool yBeyondLow = yInLowLow < 0;
bool xBeyondHigh = xInLowLow+1 > inputImages_X-1;
bool yBeyondHigh = yInLowLow+1 > inputImages_Y-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLow = 0;
if (xBeyondHigh)
xInLowLow = inputImages_X-2;
if (yBeyondLow)
yInLowLow = 0;
if (yBeyondHigh)
yInLowLow = inputImages_Y-2;
}
const int outAddress = output_strideBatch * b + output_stride_Y * yOut + output_stride_X * xOut;
const int inLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Y * yInLowLow + inputImages_stride_X * xInLowLow;
const int inLowHighAddress = inLowLowAddress + inputImages_stride_Y;
const int inHighLowAddress = inLowLowAddress + inputImages_stride_X;
const int inHighHighAddress = inHighLowAddress + inputImages_stride_Y;
real v=0;
real inLowLow=0;
real inLowHigh=0;
real inHighLow=0;
real inHighHigh=0;
int t;
// interpolation happens here
for(t=0; t<inputImages_C; t++)
{
// if the first is for non zero condition and the second is for zero condition
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh))){
inLowLow = inputImages_data[inLowLowAddress + t*inputImages_stride_C];
inLowHigh = inputImages_data[inLowHighAddress + t*inputImages_stride_C];
inHighLow = inputImages_data[inHighLowAddress + t*inputImages_stride_C];
inHighHigh = inputImages_data[inHighHighAddress + t*inputImages_stride_C];
}
v = xWeightLowLow * yWeightLowLow * inLowLow
+ (1 - xWeightLowLow) * yWeightLowLow * inHighLow
+ xWeightLowLow * (1 - yWeightLowLow) * inLowHigh
+ (1 - xWeightLowLow) * (1 - yWeightLowLow) * inHighHigh;
output_data[outAddress + t*output_stride_C] = v;
}
}
}
}
return 1;
}
int BilinearSamplerBCXY_updateOutput_2D_old(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int zero_boundary)
{
// This is actua
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,2);
int inputImages_Y = THFloatTensor_size(inputImages,3);
int inputImages_C = THFloatTensor_size(inputImages,1);
int output_X = THFloatTensor_size(output,2);
int output_Y = THFloatTensor_size(output,3);
bool zero_boundary_bool = zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_stride_X = THFloatTensor_stride(output,2);
int output_stride_Y = THFloatTensor_stride(output,3);
int output_stride_C = THFloatTensor_stride(output,1);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,2);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,3);
int inputImages_stride_C = THFloatTensor_stride(inputImages,1);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_C = THFloatTensor_stride(grids,1);
int grids_stride_X = THFloatTensor_stride(grids,2);
int grids_stride_Y = THFloatTensor_stride(grids,3);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < output_X; xOut++)
{
for(yOut=0; yOut < output_Y; yOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X+grids_stride_C];
// get the weights for interpolation
int yInLowLow, xInLowLow;
real yWeightLowLow, xWeightLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLow = floor(xcoord);
xWeightLowLow = 1 - (xcoord - xInLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLow = floor(ycoord);
yWeightLowLow = 1 - (ycoord - yInLowLow);
const int outAddress = output_strideBatch * b + output_stride_Y * yOut + output_stride_X * xOut;
const int inLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Y * yInLowLow + inputImages_stride_X * xInLowLow;
const int inLowHighAddress = inLowLowAddress + inputImages_stride_Y;
const int inHighLowAddress = inLowLowAddress + inputImages_stride_X;
const int inHighHighAddress = inHighLowAddress + inputImages_stride_Y;
real v=0;
real inLowLow=0;
real inLowHigh=0;
real inHighLow=0;
real inHighHigh=0;
// we are careful with the boundaries
bool lowLowIsIn = xInLowLow >= 0 && xInLowLow <= inputImages_X-1 && yInLowLow >= 0 && yInLowLow <= inputImages_Y-1;
bool lowHighIsIn = xInLowLow >= 0 && xInLowLow <= inputImages_X-1 && yInLowLow+1 >= 0 && yInLowLow+1 <= inputImages_Y-1;
bool highLowIsIn = xInLowLow+1 >= 0 && xInLowLow+1 <= inputImages_X-1 && yInLowLow >= 0 && yInLowLow <= inputImages_Y-1;
bool highHighIsIn = xInLowLow+1 >= 0 && xInLowLow+1 <= inputImages_X-1 && yInLowLow+1 >= 0 && yInLowLow+1 <= inputImages_Y-1;
int t;
// interpolation happens here
for(t=0; t<inputImages_C; t++)
{
if(lowLowIsIn) inLowLow = inputImages_data[inLowLowAddress + t*inputImages_stride_C];
if(lowHighIsIn) inLowHigh = inputImages_data[inLowHighAddress + t*inputImages_stride_C];
if(highLowIsIn) inHighLow = inputImages_data[inHighLowAddress + t*inputImages_stride_C];
if(highHighIsIn) inHighHigh = inputImages_data[inHighHighAddress + t*inputImages_stride_C];
v = xWeightLowLow * yWeightLowLow * inLowLow
+ (1 - xWeightLowLow) * yWeightLowLow * inHighLow
+ xWeightLowLow * (1 - yWeightLowLow) * inLowHigh
+ (1 - xWeightLowLow) * (1 - yWeightLowLow) * inHighHigh;
output_data[outAddress + t*output_stride_C] = v;
}
}
}
}
return 1;
}
int BilinearSamplerBXYZC_updateOutput_3D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int zero_boundary)
{
// This is actua
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,1);
int inputImages_Y = THFloatTensor_size(inputImages,2);
int inputImages_Z = THFloatTensor_size(inputImages,3);
int inputImages_C = THFloatTensor_size(inputImages,4);
int output_X = THFloatTensor_size(output,1);
int output_Y = THFloatTensor_size(output,2);
int output_Z = THFloatTensor_size(output,3);
bool zero_boundary_bool = zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_stride_X = THFloatTensor_stride(output,1);
int output_stride_Y = THFloatTensor_stride(output,2);
int output_stride_Z = THFloatTensor_stride(output,3);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,1);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,2);
int inputImages_stride_Z = THFloatTensor_stride(inputImages,3);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,1);
int grids_stride_Y = THFloatTensor_stride(grids,2);
int grids_stride_Z = THFloatTensor_stride(grids,3);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, zOut, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < output_X; xOut++)
{
for(yOut=0; yOut < output_Y; yOut++)
{
for(zOut=0; zOut < output_Z; zOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X+1];
real zf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X+2];
// get the weights for interpolation
int zInLowLowLow, yInLowLowLow, xInLowLowLow;
real zWeightLowLowLow, yWeightLowLowLow, xWeightLowLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLowLow = floor(xcoord);
xWeightLowLowLow = 1 - (xcoord - xInLowLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLowLow = floor(ycoord);
yWeightLowLowLow = 1 - (ycoord - yInLowLowLow);
real zcoord = (zf + 1) * (inputImages_Z - 1) / 2;
zInLowLowLow = floor(zcoord);
zWeightLowLowLow = 1 - (zcoord - zInLowLowLow);
bool xBeyondLow = xInLowLowLow < 0;
bool yBeyondLow = yInLowLowLow < 0;
bool zBeyondLow = zInLowLowLow < 0;
bool xBeyondHigh = xInLowLowLow+1 > inputImages_X-1;
bool yBeyondHigh = yInLowLowLow+1 > inputImages_Y-1;
bool zBeyondHigh = zInLowLowLow+1 > inputImages_Z-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLowLow = 0;
if (xBeyondHigh)
xInLowLowLow = inputImages_X-2;
if (yBeyondLow)
yInLowLowLow = 0;
if (yBeyondHigh)
yInLowLowLow = inputImages_Y-2;
if (zBeyondLow)
zInLowLowLow = 0;
if (zBeyondHigh)
zInLowLowLow = inputImages_Z-2;
}
const int outAddress = output_strideBatch * b + output_stride_Z * zOut + output_stride_Y * yOut + output_stride_X * xOut;
const int inLowLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Z * zInLowLowLow + inputImages_stride_Y * yInLowLowLow + inputImages_stride_X * xInLowLowLow;
const int inLowLowHighAddress = inLowLowLowAddress + inputImages_stride_Z;
const int inLowHighLowAddress = inLowLowLowAddress + inputImages_stride_Y;
const int inLowHighHighAddress = inLowLowLowAddress + inputImages_stride_Y + inputImages_stride_Z;
const int inHighLowLowAddress = inLowLowLowAddress + inputImages_stride_X;
const int inHighLowHighAddress = inLowLowLowAddress + inputImages_stride_X + inputImages_stride_Z;
const int inHighHighLowAddress = inLowLowLowAddress + inputImages_stride_X + inputImages_stride_Y;
const int inHighHighHighAddress = inLowLowLowAddress + inputImages_stride_X + inputImages_stride_Y + inputImages_stride_Z;
real v=0;
real inLowLowLow=0;
real inLowLowHigh=0;
real inLowHighLow=0;
real inLowHighHigh=0;
real inHighLowLow=0;
real inHighLowHigh=0;
real inHighHighLow=0;
real inHighHighHigh=0;
int t;
// interpolation happens here
for(t=0; t<inputImages_C; t++)
{
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh || zBeyondLow || zBeyondHigh))){
inLowLowLow = inputImages_data[inLowLowLowAddress + t];
inLowLowHigh = inputImages_data[inLowLowHighAddress + t];
inLowHighLow = inputImages_data[inLowHighLowAddress + t];
inLowHighHigh = inputImages_data[inLowHighHighAddress + t];
inHighLowLow = inputImages_data[inHighLowLowAddress + t];
inHighLowHigh = inputImages_data[inHighLowHighAddress + t];
inHighHighLow = inputImages_data[inHighHighLowAddress + t];
inHighHighHigh = inputImages_data[inHighHighHighAddress + t];
}
v = xWeightLowLowLow * yWeightLowLowLow * zWeightLowLowLow * inLowLowLow
+ xWeightLowLowLow * yWeightLowLowLow * (1-zWeightLowLowLow) * inLowLowHigh
+ xWeightLowLowLow * (1-yWeightLowLowLow) * zWeightLowLowLow * inLowHighLow
+ xWeightLowLowLow * (1-yWeightLowLowLow) * (1-zWeightLowLowLow) * inLowHighHigh
+ (1-xWeightLowLowLow) * yWeightLowLowLow * zWeightLowLowLow * inHighLowLow
+ (1-xWeightLowLowLow) * yWeightLowLowLow * (1-zWeightLowLowLow) * inHighLowHigh
+ (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * zWeightLowLowLow * inHighHighLow
+ (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * (1-zWeightLowLowLow) * inHighHighHigh;
output_data[outAddress + t] = v;
}
}
}
}
}
return 1;
}
int BilinearSamplerBCXYZ_updateOutput_3D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int zero_boundary)
{
// This is actua
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,2);
int inputImages_Y = THFloatTensor_size(inputImages,3);
int inputImages_Z = THFloatTensor_size(inputImages,4);
int inputImages_C = THFloatTensor_size(inputImages,1);
int output_X = THFloatTensor_size(output,2);
int output_Y = THFloatTensor_size(output,3);
int output_Z = THFloatTensor_size(output,4);
bool zero_boundary_bool = zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_stride_X = THFloatTensor_stride(output,2);
int output_stride_Y = THFloatTensor_stride(output,3);
int output_stride_Z = THFloatTensor_stride(output,4);
int output_stride_C = THFloatTensor_stride(output,1);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,2);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,3);
int inputImages_stride_Z = THFloatTensor_stride(inputImages,4);
int inputImages_stride_C = THFloatTensor_stride(inputImages,1);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,2);
int grids_stride_Y = THFloatTensor_stride(grids,3);
int grids_stride_Z = THFloatTensor_stride(grids,4);
int grids_stride_C = THFloatTensor_stride(grids,1);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, zOut, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < output_X; xOut++)
{
for(yOut=0; yOut < output_Y; yOut++)
{
for(zOut=0; zOut < output_Z; zOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X+grids_stride_C];
real zf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X+2*grids_stride_C];
// get the weights for interpolation
int zInLowLowLow, yInLowLowLow, xInLowLowLow;
real zWeightLowLowLow, yWeightLowLowLow, xWeightLowLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLowLow = floor(xcoord);
xWeightLowLowLow = 1 - (xcoord - xInLowLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLowLow = floor(ycoord);
yWeightLowLowLow = 1 - (ycoord - yInLowLowLow);
real zcoord = (zf + 1) * (inputImages_Z - 1) / 2;
zInLowLowLow = floor(zcoord);
zWeightLowLowLow = 1 - (zcoord - zInLowLowLow);
bool xBeyondLow = xInLowLowLow < 0;
bool yBeyondLow = yInLowLowLow < 0;
bool zBeyondLow = zInLowLowLow < 0;
bool xBeyondHigh = xInLowLowLow+1 > inputImages_X-1;
bool yBeyondHigh = yInLowLowLow+1 > inputImages_Y-1;
bool zBeyondHigh = zInLowLowLow+1 > inputImages_Z-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLowLow = 0;
if (xBeyondHigh)
xInLowLowLow = inputImages_X-2;
if (yBeyondLow)
yInLowLowLow = 0;
if (yBeyondHigh)
yInLowLowLow = inputImages_Y-2;
if (zBeyondLow)
zInLowLowLow = 0;
if (zBeyondHigh)
zInLowLowLow = inputImages_Z-2;
}
const int outAddress = output_strideBatch * b + output_stride_Z * zOut + output_stride_Y * yOut + output_stride_X * xOut;
const int inLowLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Z * zInLowLowLow + inputImages_stride_Y * yInLowLowLow + inputImages_stride_X * xInLowLowLow;
const int inLowLowHighAddress = inLowLowLowAddress + inputImages_stride_Z;
const int inLowHighLowAddress = inLowLowLowAddress + inputImages_stride_Y;
const int inLowHighHighAddress = inLowLowLowAddress + inputImages_stride_Y + inputImages_stride_Z;
const int inHighLowLowAddress = inLowLowLowAddress + inputImages_stride_X;
const int inHighLowHighAddress = inLowLowLowAddress + inputImages_stride_X + inputImages_stride_Z;
const int inHighHighLowAddress = inLowLowLowAddress + inputImages_stride_X + inputImages_stride_Y;
const int inHighHighHighAddress = inLowLowLowAddress + inputImages_stride_X + inputImages_stride_Y + inputImages_stride_Z;
real v=0;
real inLowLowLow=0;
real inLowLowHigh=0;
real inLowHighLow=0;
real inLowHighHigh=0;
real inHighLowLow=0;
real inHighLowHigh=0;
real inHighHighLow=0;
real inHighHighHigh=0;
int t;
// interpolation happens here
for(t=0; t<inputImages_C; t++)
{
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh || zBeyondLow || zBeyondHigh))){
inLowLowLow = inputImages_data[inLowLowLowAddress + t*inputImages_stride_C];
inLowLowHigh = inputImages_data[inLowLowHighAddress + t*inputImages_stride_C];
inLowHighLow = inputImages_data[inLowHighLowAddress + t*inputImages_stride_C];
inLowHighHigh = inputImages_data[inLowHighHighAddress + t*inputImages_stride_C];
inHighLowLow = inputImages_data[inHighLowLowAddress + t*inputImages_stride_C];
inHighLowHigh = inputImages_data[inHighLowHighAddress + t*inputImages_stride_C];
inHighHighLow = inputImages_data[inHighHighLowAddress + t*inputImages_stride_C];
inHighHighHigh = inputImages_data[inHighHighHighAddress + t*inputImages_stride_C];
}
v = xWeightLowLowLow * yWeightLowLowLow * zWeightLowLowLow * inLowLowLow
+ xWeightLowLowLow * yWeightLowLowLow * (1-zWeightLowLowLow) * inLowLowHigh
+ xWeightLowLowLow * (1-yWeightLowLowLow) * zWeightLowLowLow * inLowHighLow
+ xWeightLowLowLow * (1-yWeightLowLowLow) * (1-zWeightLowLowLow) * inLowHighHigh
+ (1-xWeightLowLowLow) * yWeightLowLowLow * zWeightLowLowLow * inHighLowLow
+ (1-xWeightLowLowLow) * yWeightLowLowLow * (1-zWeightLowLowLow) * inHighLowHigh
+ (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * zWeightLowLowLow * inHighHighLow
+ (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * (1-zWeightLowLowLow) * inHighHighHigh;
output_data[outAddress + t*output_stride_C] = v;
}
}
}
}
}
return 1;
}
int BilinearSamplerBHWD_updateOutput(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int zero_boundary)
{
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_height = THFloatTensor_size(inputImages,1);
int inputImages_width = THFloatTensor_size(inputImages,2);
int output_height = THFloatTensor_size(output,1);
int output_width = THFloatTensor_size(output,2);
int inputImages_channels = THFloatTensor_size(inputImages,3);
bool zero_boundary_bool= zero_boundary == 1;
int output_strideBatch = THFloatTensor_stride(output,0);
int output_strideHeight = THFloatTensor_stride(output,1);
int output_strideWidth = THFloatTensor_stride(output,2);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_strideHeight = THFloatTensor_stride(inputImages,1);
int inputImages_strideWidth = THFloatTensor_stride(inputImages,2);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_strideHeight = THFloatTensor_stride(grids,1);
int grids_strideWidth = THFloatTensor_stride(grids,2);
real *inputImages_data, *output_data, *grids_data;
inputImages_data = THFloatTensor_data(inputImages);
output_data = THFloatTensor_data(output);
grids_data = THFloatTensor_data(grids);
int b, yOut, xOut;
for(b=0; b < batchsize; b++)
{
for(yOut=0; yOut < output_height; yOut++)
{
for(xOut=0; xOut < output_width; xOut++)
{
//read the grid
real yf = grids_data[b*grids_strideBatch + yOut*grids_strideHeight + xOut*grids_strideWidth];
real xf = grids_data[b*grids_strideBatch + yOut*grids_strideHeight + xOut*grids_strideWidth + 1];
// get the weights for interpolation
int yInTopLeft, xInTopLeft;
real yWeightTopLeft, xWeightTopLeft;
real xcoord = (xf + 1) * (inputImages_width - 1) / 2;
xInTopLeft = floor(xcoord);
xWeightTopLeft = 1 - (xcoord - xInTopLeft);
real ycoord = (yf + 1) * (inputImages_height - 1) / 2;
yInTopLeft = floor(ycoord);
yWeightTopLeft = 1 - (ycoord - yInTopLeft);
const int outAddress = output_strideBatch * b + output_strideHeight * yOut + output_strideWidth * xOut;
const int inTopLeftAddress = inputImages_strideBatch * b + inputImages_strideHeight * yInTopLeft + inputImages_strideWidth * xInTopLeft;
const int inTopRightAddress = inTopLeftAddress + inputImages_strideWidth;
const int inBottomLeftAddress = inTopLeftAddress + inputImages_strideHeight;
const int inBottomRightAddress = inBottomLeftAddress + inputImages_strideWidth;
real v=0;
real inTopLeft=0;
real inTopRight=0;
real inBottomLeft=0;
real inBottomRight=0;
// we are careful with the boundaries
bool topLeftIsIn = xInTopLeft >= 0 && xInTopLeft <= inputImages_width-1 && yInTopLeft >= 0 && yInTopLeft <= inputImages_height-1;
bool topRightIsIn = xInTopLeft+1 >= 0 && xInTopLeft+1 <= inputImages_width-1 && yInTopLeft >= 0 && yInTopLeft <= inputImages_height-1;
bool bottomLeftIsIn = xInTopLeft >= 0 && xInTopLeft <= inputImages_width-1 && yInTopLeft+1 >= 0 && yInTopLeft+1 <= inputImages_height-1;
bool bottomRightIsIn = xInTopLeft+1 >= 0 && xInTopLeft+1 <= inputImages_width-1 && yInTopLeft+1 >= 0 && yInTopLeft+1 <= inputImages_height-1;
int t;
// interpolation happens here
for(t=0; t<inputImages_channels; t++)
{
if(topLeftIsIn) inTopLeft = inputImages_data[inTopLeftAddress + t];
if(topRightIsIn) inTopRight = inputImages_data[inTopRightAddress + t];
if(bottomLeftIsIn) inBottomLeft = inputImages_data[inBottomLeftAddress + t];
if(bottomRightIsIn) inBottomRight = inputImages_data[inBottomRightAddress + t];
v = xWeightTopLeft * yWeightTopLeft * inTopLeft
+ (1 - xWeightTopLeft) * yWeightTopLeft * inTopRight
+ xWeightTopLeft * (1 - yWeightTopLeft) * inBottomLeft
+ (1 - xWeightTopLeft) * (1 - yWeightTopLeft) * inBottomRight;
output_data[outAddress + t] = v;
}
}
}
}
return 1;
}
int BilinearSamplerBXYZC_updateOutput_ND(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int ndim, int zero_boundary)
{
switch( ndim )
{
case 1: return BilinearSamplerBXC_updateOutput_1D( inputImages, grids, output, zero_boundary); break;
case 2: return BilinearSamplerBXYC_updateOutput_2D( inputImages, grids, output, zero_boundary); break;
case 3: return BilinearSamplerBXYZC_updateOutput_3D( inputImages, grids, output, zero_boundary); break;
default: return -1;
}
}
int BilinearSamplerBCXYZ_updateOutput_ND(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *output, int ndim, int zero_boundary)
{
switch( ndim )
{
case 1: return BilinearSamplerBCX_updateOutput_1D( inputImages, grids, output, zero_boundary); break;
case 2: return BilinearSamplerBCXY_updateOutput_2D( inputImages, grids, output, zero_boundary); break;
case 3: return BilinearSamplerBCXYZ_updateOutput_3D( inputImages, grids, output, zero_boundary); break;
default: return -1;
}
}
int BilinearSamplerBXC_updateGradInput_1D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int zero_boundary)
{
bool onlyGrid=false;
bool zero_boundary_bool= zero_boundary == 1;
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,1);
int gradOutput_X = THFloatTensor_size(gradOutput,1);
int inputImages_C = THFloatTensor_size(inputImages,2);
int gradOutput_strideBatch = THFloatTensor_stride(gradOutput,0);
int gradOutput_stride_X = THFloatTensor_stride(gradOutput,1);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,1);
int gradInputImages_strideBatch = THFloatTensor_stride(gradInputImages,0);
int gradInputImages_stride_X = THFloatTensor_stride(gradInputImages,1);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,1);
int gradGrids_strideBatch = THFloatTensor_stride(gradGrids,0);
int gradGrids_stride_X = THFloatTensor_stride(gradGrids,1);
real *inputImages_data, *gradOutput_data, *grids_data, *gradGrids_data, *gradInputImages_data;
inputImages_data = THFloatTensor_data(inputImages);
gradOutput_data = THFloatTensor_data(gradOutput);
grids_data = THFloatTensor_data(grids);
gradGrids_data = THFloatTensor_data(gradGrids);
gradInputImages_data = THFloatTensor_data(gradInputImages);
int b, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < gradOutput_X; xOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + xOut*grids_stride_X];
// get the weights for interpolation
int xInLow;
real xWeightLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLow = floor(xcoord);
xWeightLow = 1 - (xcoord - xInLow);
bool xBeyondLow = xInLow < 0;
bool xBeyondHigh = xInLow+1 > inputImages_X-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLow = 0;
if (xBeyondHigh)
xInLow = inputImages_X-2;
}
const int inLowAddress = inputImages_strideBatch * b + inputImages_stride_X * xInLow;
const int inHighAddress = inLowAddress + inputImages_stride_X;
const int gradInputImagesLowAddress = gradInputImages_strideBatch * b + gradInputImages_stride_X * xInLow;
const int gradInputImagesHighAddress = gradInputImagesLowAddress + gradInputImages_stride_X;
const int gradOutputAddress = gradOutput_strideBatch * b + gradOutput_stride_X * xOut;
real lowDotProduct = 0;
real highDotProduct = 0;
real v=0;
real inLow=0;
real inHigh=0;
int t;
for(t=0; t<inputImages_C; t++)
{
real gradOutValue = gradOutput_data[gradOutputAddress + t];
if (!zero_boundary_bool || (! (xBeyondLow || xBeyondHigh ))){
real inLow = inputImages_data[inLowAddress + t];
lowDotProduct += inLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowAddress + t] += xWeightLow * gradOutValue;
real inHigh = inputImages_data[inHighAddress + t];
highDotProduct += inHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighAddress + t] += (1-xWeightLow) * gradOutValue;
}
}
xf = - lowDotProduct + highDotProduct; // CHECK: CORRECT?
gradGrids_data[b*gradGrids_strideBatch + xOut*gradGrids_stride_X] = xf * (inputImages_X-1) / 2;
}
}
return 1;
}
int BilinearSamplerBCX_updateGradInput_1D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int zero_boundary)
{
bool onlyGrid=false;
bool zero_boundary_bool= zero_boundary == 1;
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,2);
int gradOutput_X = THFloatTensor_size(gradOutput,2);
int inputImages_C = THFloatTensor_size(inputImages,1);
int gradOutput_strideBatch = THFloatTensor_stride(gradOutput,0);
int gradOutput_stride_X = THFloatTensor_stride(gradOutput,2);
int gradOutput_stride_C = THFloatTensor_stride(gradOutput,1);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,2);
int inputImages_stride_C = THFloatTensor_stride(inputImages,1);
int gradInputImages_strideBatch = THFloatTensor_stride(gradInputImages,0);
int gradInputImages_stride_X = THFloatTensor_stride(gradInputImages,2);
int gradInputImages_stride_C = THFloatTensor_stride(gradInputImages,1);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,2);
int gradGrids_strideBatch = THFloatTensor_stride(gradGrids,0);
int gradGrids_stride_X = THFloatTensor_stride(gradGrids,2);
real *inputImages_data, *gradOutput_data, *grids_data, *gradGrids_data, *gradInputImages_data;
inputImages_data = THFloatTensor_data(inputImages);
gradOutput_data = THFloatTensor_data(gradOutput);
grids_data = THFloatTensor_data(grids);
gradGrids_data = THFloatTensor_data(gradGrids);
gradInputImages_data = THFloatTensor_data(gradInputImages);
int b, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < gradOutput_X; xOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + xOut*grids_stride_X];
// get the weights for interpolation
int xInLow;
real xWeightLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLow = floor(xcoord);
xWeightLow = 1 - (xcoord - xInLow);
bool xBeyondLow = xInLow < 0;
bool xBeyondHigh = xInLow+1 > inputImages_X-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLow = 0;
if (xBeyondHigh)
xInLow = inputImages_X-2;
}
const int inLowAddress = inputImages_strideBatch * b + inputImages_stride_X * xInLow;
const int inHighAddress = inLowAddress + inputImages_stride_X;
const int gradInputImagesLowAddress = gradInputImages_strideBatch * b + gradInputImages_stride_X * xInLow;
const int gradInputImagesHighAddress = gradInputImagesLowAddress + gradInputImages_stride_X;
const int gradOutputAddress = gradOutput_strideBatch * b + gradOutput_stride_X * xOut;
real lowDotProduct = 0;
real highDotProduct = 0;
real v=0;
real inLow=0;
real inHigh=0;
// we are careful with the boundaries
bool lowIsIn = xInLow >= 0 && xInLow <= inputImages_X-1;
bool highIsIn = xInLow+1 >= 0 && xInLow+1 <= inputImages_X-1;
int t;
for(t=0; t<inputImages_C; t++)
{
real gradOutValue = gradOutput_data[gradOutputAddress + t*gradOutput_stride_C];
if (!zero_boundary_bool || (! (xBeyondLow || xBeyondHigh ))){
real inLow = inputImages_data[inLowAddress + t*inputImages_stride_C];
lowDotProduct += inLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowAddress + t*gradInputImages_stride_C] += xWeightLow * gradOutValue;
real inHigh = inputImages_data[inHighAddress + t*inputImages_stride_C];
highDotProduct += inHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighAddress + t*gradInputImages_stride_C] += (1-xWeightLow) * gradOutValue;
}
}
xf = - lowDotProduct + highDotProduct; // CHECK: CORRECT?
gradGrids_data[b*gradGrids_strideBatch + xOut*gradGrids_stride_X] = xf * (inputImages_X-1) / 2;
}
}
return 1;
}
int BilinearSamplerBXYC_updateGradInput_2D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int zero_boundary)
{
bool onlyGrid=false;
bool zero_boundary_bool= zero_boundary == 1;
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,1);
int inputImages_Y = THFloatTensor_size(inputImages,2);
int gradOutput_X = THFloatTensor_size(gradOutput,1);
int gradOutput_Y = THFloatTensor_size(gradOutput,2);
int inputImages_C = THFloatTensor_size(inputImages,3);
int gradOutput_strideBatch = THFloatTensor_stride(gradOutput,0);
int gradOutput_stride_X = THFloatTensor_stride(gradOutput,1);
int gradOutput_stride_Y = THFloatTensor_stride(gradOutput,2);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,1);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,2);
int gradInputImages_strideBatch = THFloatTensor_stride(gradInputImages,0);
int gradInputImages_stride_X = THFloatTensor_stride(gradInputImages,1);
int gradInputImages_stride_Y = THFloatTensor_stride(gradInputImages,2);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,1);
int grids_stride_Y = THFloatTensor_stride(grids,2);
int gradGrids_strideBatch = THFloatTensor_stride(gradGrids,0);
int gradGrids_stride_X = THFloatTensor_stride(gradGrids,1);
int gradGrids_stride_Y = THFloatTensor_stride(gradGrids,2);
real *inputImages_data, *gradOutput_data, *grids_data, *gradGrids_data, *gradInputImages_data;
inputImages_data = THFloatTensor_data(inputImages);
gradOutput_data = THFloatTensor_data(gradOutput);
grids_data = THFloatTensor_data(grids);
gradGrids_data = THFloatTensor_data(gradGrids);
gradInputImages_data = THFloatTensor_data(gradInputImages);
int b, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < gradOutput_X; xOut++)
{
for(yOut=0; yOut < gradOutput_Y; yOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X + 1];
// get the weights for interpolation
int yInLowLow, xInLowLow;
real yWeightLowLow, xWeightLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLow = floor(xcoord);
xWeightLowLow = 1 - (xcoord - xInLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLow = floor(ycoord);
yWeightLowLow = 1 - (ycoord - yInLowLow);
bool xBeyondLow = xInLowLow < 0;
bool yBeyondLow = yInLowLow < 0;
bool xBeyondHigh = xInLowLow+1 > inputImages_X-1;
bool yBeyondHigh = yInLowLow+1 > inputImages_Y-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLow = 0;
if (xBeyondHigh)
xInLowLow = inputImages_X-2;
if (yBeyondLow)
yInLowLow = 0;
if (yBeyondHigh)
yInLowLow = inputImages_Y-2;
}
const int inLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Y * yInLowLow + inputImages_stride_X * xInLowLow;
const int inLowHighAddress = inLowLowAddress + inputImages_stride_Y;
const int inHighLowAddress = inLowLowAddress + inputImages_stride_X;
const int inHighHighAddress = inHighLowAddress + inputImages_stride_Y;
const int gradInputImagesLowLowAddress = gradInputImages_strideBatch * b + gradInputImages_stride_Y * yInLowLow + gradInputImages_stride_X * xInLowLow;
const int gradInputImagesLowHighAddress = gradInputImagesLowLowAddress + gradInputImages_stride_Y;
const int gradInputImagesHighLowAddress = gradInputImagesLowLowAddress + gradInputImages_stride_X;
const int gradInputImagesHighHighAddress = gradInputImagesHighLowAddress + gradInputImages_stride_Y;
const int gradOutputAddress = gradOutput_strideBatch * b + gradOutput_stride_Y * yOut + gradOutput_stride_X * xOut;
real lowLowDotProduct = 0;
real lowHighDotProduct = 0;
real highLowDotProduct = 0;
real highHighDotProduct = 0;
real v=0;
real inLowLow=0;
real inLowHigh=0;
real inHighLow=0;
real inHighHigh=0;
int t;
for(t=0; t<inputImages_C; t++)
{
real gradOutValue = gradOutput_data[gradOutputAddress + t];
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh))){
real inLowLow = inputImages_data[inLowLowAddress + t];
lowLowDotProduct += inLowLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowLowAddress + t] += xWeightLowLow * yWeightLowLow * gradOutValue;
real inLowHigh = inputImages_data[inLowHighAddress + t];
lowHighDotProduct += inLowHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowHighAddress + t] += xWeightLowLow * (1-yWeightLowLow) * gradOutValue; // CHECK: CORRECT?
real inHighLow = inputImages_data[inHighLowAddress + t];
highLowDotProduct += inHighLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighLowAddress + t] += (1-xWeightLowLow) * yWeightLowLow * gradOutValue; // CHECK: CORRECT?
real inHighHigh = inputImages_data[inHighHighAddress + t];
highHighDotProduct += inHighHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighHighAddress + t] += (1 - xWeightLowLow) * (1 - yWeightLowLow) * gradOutValue;
}
}
xf = - yWeightLowLow * lowLowDotProduct + yWeightLowLow * highLowDotProduct
- (1-yWeightLowLow) * lowHighDotProduct + (1-yWeightLowLow) * highHighDotProduct;
yf = - xWeightLowLow * lowLowDotProduct + xWeightLowLow * lowHighDotProduct
- (1-xWeightLowLow) * highLowDotProduct + (1-xWeightLowLow) * highHighDotProduct;
gradGrids_data[b*gradGrids_strideBatch + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X] = xf * (inputImages_X-1) / 2;
gradGrids_data[b*gradGrids_strideBatch + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X + 1] = yf * (inputImages_Y-1) / 2;
}
}
}
return 1;
}
int BilinearSamplerBCXY_updateGradInput_2D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int zero_boundary)
{
bool onlyGrid=false;
bool zero_boundary_bool = zero_boundary == 1;
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,2);
int inputImages_Y = THFloatTensor_size(inputImages,3);
int gradOutput_X = THFloatTensor_size(gradOutput,2);
int gradOutput_Y = THFloatTensor_size(gradOutput,3);
int inputImages_C = THFloatTensor_size(inputImages,1);
int gradOutput_strideBatch = THFloatTensor_stride(gradOutput,0);
int gradOutput_stride_X = THFloatTensor_stride(gradOutput,2);
int gradOutput_stride_Y = THFloatTensor_stride(gradOutput,3);
int gradOutput_stride_C = THFloatTensor_stride(gradOutput,1);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,2);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,3);
int inputImages_stride_C = THFloatTensor_stride(inputImages,1);
int gradInputImages_strideBatch = THFloatTensor_stride(gradInputImages,0);
int gradInputImages_stride_X = THFloatTensor_stride(gradInputImages,2);
int gradInputImages_stride_Y = THFloatTensor_stride(gradInputImages,3);
int gradInputImages_stride_C = THFloatTensor_stride(gradInputImages,1);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,2);
int grids_stride_Y = THFloatTensor_stride(grids,3);
int grids_stride_C = THFloatTensor_stride(grids,1);
int gradGrids_strideBatch = THFloatTensor_stride(gradGrids,0);
int gradGrids_stride_X = THFloatTensor_stride(gradGrids,2);
int gradGrids_stride_Y = THFloatTensor_stride(gradGrids,3);
int gradGrids_stride_C = THFloatTensor_stride(gradGrids,1);
real *inputImages_data, *gradOutput_data, *grids_data, *gradGrids_data, *gradInputImages_data;
inputImages_data = THFloatTensor_data(inputImages);
gradOutput_data = THFloatTensor_data(gradOutput);
grids_data = THFloatTensor_data(grids);
gradGrids_data = THFloatTensor_data(gradGrids);
gradInputImages_data = THFloatTensor_data(gradInputImages);
int b, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < gradOutput_X; xOut++)
{
for(yOut=0; yOut < gradOutput_Y; yOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + yOut*grids_stride_Y + xOut*grids_stride_X + grids_stride_C];
// get the weights for interpolation
int yInLowLow, xInLowLow;
real yWeightLowLow, xWeightLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLow = floor(xcoord);
xWeightLowLow = 1 - (xcoord - xInLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLow = floor(ycoord);
yWeightLowLow = 1 - (ycoord - yInLowLow);
bool xBeyondLow = xInLowLow < 0;
bool yBeyondLow = yInLowLow < 0;
bool xBeyondHigh = xInLowLow+1 > inputImages_X-1;
bool yBeyondHigh = yInLowLow+1 > inputImages_Y-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLow = 0;
if (xBeyondHigh)
xInLowLow = inputImages_X-2;
if (yBeyondLow)
yInLowLow = 0;
if (yBeyondHigh)
yInLowLow = inputImages_Y-2;
}
const int inLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Y * yInLowLow + inputImages_stride_X * xInLowLow;
const int inLowHighAddress = inLowLowAddress + inputImages_stride_Y;
const int inHighLowAddress = inLowLowAddress + inputImages_stride_X;
const int inHighHighAddress = inHighLowAddress + inputImages_stride_Y;
const int gradInputImagesLowLowAddress = gradInputImages_strideBatch * b + gradInputImages_stride_Y * yInLowLow + gradInputImages_stride_X * xInLowLow;
const int gradInputImagesLowHighAddress = gradInputImagesLowLowAddress + gradInputImages_stride_Y;
const int gradInputImagesHighLowAddress = gradInputImagesLowLowAddress + gradInputImages_stride_X;
const int gradInputImagesHighHighAddress = gradInputImagesHighLowAddress + gradInputImages_stride_Y;
const int gradOutputAddress = gradOutput_strideBatch * b + gradOutput_stride_Y * yOut + gradOutput_stride_X * xOut;
real lowLowDotProduct = 0;
real lowHighDotProduct = 0;
real highLowDotProduct = 0;
real highHighDotProduct = 0;
real v=0;
real inLowLow=0;
real inLowHigh=0;
real inHighLow=0;
real inHighHigh=0;
int t;
for(t=0; t<inputImages_C; t++)
{
real gradOutValue = gradOutput_data[gradOutputAddress + t*gradOutput_stride_C];
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh))){
real inLowLow = inputImages_data[inLowLowAddress + t*inputImages_stride_C];
lowLowDotProduct += inLowLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowLowAddress + t*gradInputImages_stride_C] += xWeightLowLow * yWeightLowLow * gradOutValue;
real inLowHigh = inputImages_data[inLowHighAddress + t*inputImages_stride_C];
lowHighDotProduct += inLowHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowHighAddress + t*gradInputImages_stride_C] += xWeightLowLow * (1-yWeightLowLow) * gradOutValue; // CHECK: CORRECT?
real inHighLow = inputImages_data[inHighLowAddress + t*inputImages_stride_C];
highLowDotProduct += inHighLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighLowAddress + t*gradInputImages_stride_C] += (1-xWeightLowLow) * yWeightLowLow * gradOutValue; // CHECK: CORRECT?
real inHighHigh = inputImages_data[inHighHighAddress + t*inputImages_stride_C];
highHighDotProduct += inHighHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighHighAddress + t*gradInputImages_stride_C] += (1 - xWeightLowLow) * (1 - yWeightLowLow) * gradOutValue;
}
}
xf = - yWeightLowLow * lowLowDotProduct + yWeightLowLow * highLowDotProduct
- (1-yWeightLowLow) * lowHighDotProduct + (1-yWeightLowLow) * highHighDotProduct;
yf = - xWeightLowLow * lowLowDotProduct + xWeightLowLow * lowHighDotProduct
- (1-xWeightLowLow) * highLowDotProduct + (1-xWeightLowLow) * highHighDotProduct;
gradGrids_data[b*gradGrids_strideBatch + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X] = xf * (inputImages_X-1) / 2;
gradGrids_data[b*gradGrids_strideBatch + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X + gradGrids_stride_C] = yf * (inputImages_Y-1) / 2;
}
}
}
return 1;
}
int BilinearSamplerBXYZC_updateGradInput_3D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int zero_boundary)
{
bool onlyGrid=false;
bool zero_boundary_bool = zero_boundary == 1;
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,1);
int inputImages_Y = THFloatTensor_size(inputImages,2);
int inputImages_Z = THFloatTensor_size(inputImages,3);
int gradOutput_X = THFloatTensor_size(gradOutput,1);
int gradOutput_Y = THFloatTensor_size(gradOutput,2);
int gradOutput_Z = THFloatTensor_size(gradOutput,3);
int inputImages_C = THFloatTensor_size(inputImages,4);
int gradOutput_strideBatch = THFloatTensor_stride(gradOutput,0);
int gradOutput_stride_X = THFloatTensor_stride(gradOutput,1);
int gradOutput_stride_Y = THFloatTensor_stride(gradOutput,2);
int gradOutput_stride_Z = THFloatTensor_stride(gradOutput,3);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,1);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,2);
int inputImages_stride_Z = THFloatTensor_stride(inputImages,3);
int gradInputImages_strideBatch = THFloatTensor_stride(gradInputImages,0);
int gradInputImages_stride_X = THFloatTensor_stride(gradInputImages,1);
int gradInputImages_stride_Y = THFloatTensor_stride(gradInputImages,2);
int gradInputImages_stride_Z = THFloatTensor_stride(gradInputImages,3);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,1);
int grids_stride_Y = THFloatTensor_stride(grids,2);
int grids_stride_Z = THFloatTensor_stride(grids,3);
int gradGrids_strideBatch = THFloatTensor_stride(gradGrids,0);
int gradGrids_stride_X = THFloatTensor_stride(gradGrids,1);
int gradGrids_stride_Y = THFloatTensor_stride(gradGrids,2);
int gradGrids_stride_Z = THFloatTensor_stride(gradGrids,3);
real *inputImages_data, *gradOutput_data, *grids_data, *gradGrids_data, *gradInputImages_data;
inputImages_data = THFloatTensor_data(inputImages);
gradOutput_data = THFloatTensor_data(gradOutput);
grids_data = THFloatTensor_data(grids);
gradGrids_data = THFloatTensor_data(gradGrids);
gradInputImages_data = THFloatTensor_data(gradInputImages);
int b, zOut, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < gradOutput_X; xOut++)
{
for(yOut=0; yOut < gradOutput_Y; yOut++)
{
for(zOut=0; zOut < gradOutput_Z; zOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X + 1];
real zf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X + 2];
// get the weights for interpolation
int zInLowLowLow, yInLowLowLow, xInLowLowLow;
real zWeightLowLowLow, yWeightLowLowLow, xWeightLowLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLowLow = floor(xcoord);
xWeightLowLowLow = 1 - (xcoord - xInLowLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLowLow = floor(ycoord);
yWeightLowLowLow = 1 - (ycoord - yInLowLowLow);
real zcoord = (zf + 1) * (inputImages_Z - 1) / 2;
zInLowLowLow = floor(zcoord);
zWeightLowLowLow = 1 - (zcoord - zInLowLowLow);
bool xBeyondLow = xInLowLowLow < 0;
bool yBeyondLow = yInLowLowLow < 0;
bool zBeyondLow = zInLowLowLow < 0;
bool xBeyondHigh = xInLowLowLow+1 > inputImages_X-1;
bool yBeyondHigh = yInLowLowLow+1 > inputImages_Y-1;
bool zBeyondHigh = zInLowLowLow+1 > inputImages_Z-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLowLow = 0;
if (xBeyondHigh)
xInLowLowLow = inputImages_X-2;
if (yBeyondLow)
yInLowLowLow = 0;
if (yBeyondHigh)
yInLowLowLow = inputImages_Y-2;
if (zBeyondLow)
zInLowLowLow = 0;
if (zBeyondHigh)
zInLowLowLow = inputImages_Z-2;
}
const int inLowLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Z * zInLowLowLow +
inputImages_stride_Y * yInLowLowLow + inputImages_stride_X * xInLowLowLow;
const int inLowLowHighAddress = inLowLowLowAddress + inputImages_stride_Z;
const int inLowHighLowAddress = inLowLowLowAddress + inputImages_stride_Y;
const int inLowHighHighAddress = inLowLowLowAddress + inputImages_stride_Y + inputImages_stride_Z;
const int inHighLowLowAddress = inLowLowLowAddress + inputImages_stride_X;
const int inHighLowHighAddress = inHighLowLowAddress + inputImages_stride_Z;
const int inHighHighLowAddress = inHighLowLowAddress + inputImages_stride_Y;
const int inHighHighHighAddress = inHighLowLowAddress + inputImages_stride_Y + inputImages_stride_Z;
const int gradInputImagesLowLowLowAddress = gradInputImages_strideBatch * b + gradInputImages_stride_Z * zInLowLowLow +
gradInputImages_stride_Y * yInLowLowLow + gradInputImages_stride_X * xInLowLowLow;
const int gradInputImagesLowLowHighAddress = gradInputImagesLowLowLowAddress + gradInputImages_stride_Z;
const int gradInputImagesLowHighLowAddress = gradInputImagesLowLowLowAddress + gradInputImages_stride_Y;
const int gradInputImagesLowHighHighAddress = gradInputImagesLowLowLowAddress + gradInputImages_stride_Y + gradInputImages_stride_Z;
const int gradInputImagesHighLowLowAddress = gradInputImagesLowLowLowAddress + gradInputImages_stride_X;
const int gradInputImagesHighLowHighAddress = gradInputImagesHighLowLowAddress + gradInputImages_stride_Z;
const int gradInputImagesHighHighLowAddress = gradInputImagesHighLowLowAddress + gradInputImages_stride_Y;
const int gradInputImagesHighHighHighAddress = gradInputImagesHighLowLowAddress + gradInputImages_stride_Y + gradInputImages_stride_Z;
const int gradOutputAddress = gradOutput_strideBatch * b + gradOutput_stride_Z * zOut + gradOutput_stride_Y * yOut + gradOutput_stride_X * xOut;
real lowLowLowDotProduct = 0;
real lowLowHighDotProduct = 0;
real lowHighLowDotProduct = 0;
real lowHighHighDotProduct = 0;
real highLowLowDotProduct = 0;
real highLowHighDotProduct = 0;
real highHighLowDotProduct = 0;
real highHighHighDotProduct = 0;
real v=0;
real inLowLowLow=0;
real inLowLowHigh=0;
real inLowHighLow=0;
real inLowHighHigh=0;
real inHighLowLow=0;
real inHighLowHigh=0;
real inHighHighLow=0;
real inHighHighHigh=0;
int t;
for(t=0; t<inputImages_C; t++)
{
real gradOutValue = gradOutput_data[gradOutputAddress + t];
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh || zBeyondLow || zBeyondHigh))){
real inLowLowLow = inputImages_data[inLowLowLowAddress + t];
lowLowLowDotProduct += inLowLowLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowLowLowAddress + t] += xWeightLowLowLow * yWeightLowLowLow * zWeightLowLowLow * gradOutValue;
real inLowLowHigh = inputImages_data[inLowLowHighAddress + t];
lowLowHighDotProduct += inLowLowHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowLowHighAddress + t] += xWeightLowLowLow * yWeightLowLowLow * (1-zWeightLowLowLow) * gradOutValue; // CHECK: CORRECT?
real inLowHighLow = inputImages_data[inLowHighLowAddress + t];
lowHighLowDotProduct += inLowHighLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowHighLowAddress + t] += xWeightLowLowLow * (1-yWeightLowLowLow) * zWeightLowLowLow * gradOutValue; // CHECK: CORRECT?
real inLowHighHigh = inputImages_data[inLowHighHighAddress + t];
lowHighHighDotProduct += inLowHighHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowHighHighAddress + t] += xWeightLowLowLow * (1 - yWeightLowLowLow) * (1-zWeightLowLowLow) * gradOutValue;
real inHighLowLow = inputImages_data[inHighLowLowAddress + t];
highLowLowDotProduct += inHighLowLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighLowLowAddress + t] += (1-xWeightLowLowLow) * yWeightLowLowLow * zWeightLowLowLow * gradOutValue;
real inHighLowHigh = inputImages_data[inHighLowHighAddress + t];
highLowHighDotProduct += inHighLowHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighLowHighAddress + t] += (1-xWeightLowLowLow) * yWeightLowLowLow * (1-zWeightLowLowLow) * gradOutValue; // CHECK: CORRECT?
real inHighHighLow = inputImages_data[inHighHighLowAddress + t];
highHighLowDotProduct += inHighHighLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighHighLowAddress + t] += (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * zWeightLowLowLow * gradOutValue; // CHECK: CORRECT?
real inHighHighHigh = inputImages_data[inHighHighHighAddress + t];
highHighHighDotProduct += inHighHighHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighHighHighAddress + t] += (1-xWeightLowLowLow) * (1 - yWeightLowLowLow) * (1-zWeightLowLowLow) * gradOutValue;
}
}
// CHECK: CORRECT?
xf = - yWeightLowLowLow * zWeightLowLowLow * lowLowLowDotProduct + yWeightLowLowLow * zWeightLowLowLow * highLowLowDotProduct
- yWeightLowLowLow * (1-zWeightLowLowLow) * lowLowHighDotProduct + yWeightLowLowLow * (1-zWeightLowLowLow) * highLowHighDotProduct
- (1-yWeightLowLowLow) * zWeightLowLowLow * lowHighLowDotProduct + (1-yWeightLowLowLow) * zWeightLowLowLow * highHighLowDotProduct
- (1-yWeightLowLowLow) * (1-zWeightLowLowLow) * lowHighHighDotProduct + (1-yWeightLowLowLow) * (1-zWeightLowLowLow) * highHighHighDotProduct;
yf = - xWeightLowLowLow * zWeightLowLowLow * lowLowLowDotProduct + xWeightLowLowLow * zWeightLowLowLow * lowHighLowDotProduct
- xWeightLowLowLow * (1-zWeightLowLowLow) * lowLowHighDotProduct + xWeightLowLowLow * (1-zWeightLowLowLow) * lowHighHighDotProduct
- (1-xWeightLowLowLow) * zWeightLowLowLow * highLowLowDotProduct + (1-xWeightLowLowLow) * zWeightLowLowLow * highHighLowDotProduct
- (1-xWeightLowLowLow) * (1-zWeightLowLowLow) * highLowHighDotProduct + (1-xWeightLowLowLow) * (1-zWeightLowLowLow) * highHighHighDotProduct;
zf = - xWeightLowLowLow * yWeightLowLowLow * lowLowLowDotProduct + xWeightLowLowLow * yWeightLowLowLow * lowLowHighDotProduct
- (1-xWeightLowLowLow) * yWeightLowLowLow * highLowLowDotProduct + (1-xWeightLowLowLow) * yWeightLowLowLow * highLowHighDotProduct
- xWeightLowLowLow * (1-yWeightLowLowLow) * lowHighLowDotProduct + xWeightLowLowLow * (1-yWeightLowLowLow) * lowHighHighDotProduct
- (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * highHighLowDotProduct + (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * highHighHighDotProduct;
gradGrids_data[b*gradGrids_strideBatch + zOut*gradGrids_stride_Z + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X] = xf * (inputImages_X-1) / 2;
gradGrids_data[b*gradGrids_strideBatch + zOut*gradGrids_stride_Z + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X + 1] = yf * (inputImages_Y-1) / 2;
gradGrids_data[b*gradGrids_strideBatch + zOut*gradGrids_stride_Z + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X + 2] = zf * (inputImages_Z-1) / 2;
}
}
}
}
return 1;
}
int BilinearSamplerBCXYZ_updateGradInput_3D(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int zero_boundary)
{
bool onlyGrid=false;
bool zero_boundary_bool = zero_boundary == 1;
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_X = THFloatTensor_size(inputImages,2);
int inputImages_Y = THFloatTensor_size(inputImages,3);
int inputImages_Z = THFloatTensor_size(inputImages,4);
int gradOutput_X = THFloatTensor_size(gradOutput,2);
int gradOutput_Y = THFloatTensor_size(gradOutput,3);
int gradOutput_Z = THFloatTensor_size(gradOutput,4);
int inputImages_C = THFloatTensor_size(inputImages,1);
int gradOutput_strideBatch = THFloatTensor_stride(gradOutput,0);
int gradOutput_stride_X = THFloatTensor_stride(gradOutput,2);
int gradOutput_stride_Y = THFloatTensor_stride(gradOutput,3);
int gradOutput_stride_Z = THFloatTensor_stride(gradOutput,4);
int gradOutput_stride_C = THFloatTensor_stride(gradOutput,1);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_stride_X = THFloatTensor_stride(inputImages,2);
int inputImages_stride_Y = THFloatTensor_stride(inputImages,3);
int inputImages_stride_Z = THFloatTensor_stride(inputImages,4);
int inputImages_stride_C = THFloatTensor_stride(inputImages,1);
int gradInputImages_strideBatch = THFloatTensor_stride(gradInputImages,0);
int gradInputImages_stride_X = THFloatTensor_stride(gradInputImages,2);
int gradInputImages_stride_Y = THFloatTensor_stride(gradInputImages,3);
int gradInputImages_stride_Z = THFloatTensor_stride(gradInputImages,4);
int gradInputImages_stride_C = THFloatTensor_stride(gradInputImages,1);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_stride_X = THFloatTensor_stride(grids,2);
int grids_stride_Y = THFloatTensor_stride(grids,3);
int grids_stride_Z = THFloatTensor_stride(grids,4);
int grids_stride_C = THFloatTensor_stride(grids,1);
int gradGrids_strideBatch = THFloatTensor_stride(gradGrids,0);
int gradGrids_stride_X = THFloatTensor_stride(gradGrids,2);
int gradGrids_stride_Y = THFloatTensor_stride(gradGrids,3);
int gradGrids_stride_Z = THFloatTensor_stride(gradGrids,4);
int gradGrids_stride_C = THFloatTensor_stride(gradGrids,1);
real *inputImages_data, *gradOutput_data, *grids_data, *gradGrids_data, *gradInputImages_data;
inputImages_data = THFloatTensor_data(inputImages);
gradOutput_data = THFloatTensor_data(gradOutput);
grids_data = THFloatTensor_data(grids);
gradGrids_data = THFloatTensor_data(gradGrids);
gradInputImages_data = THFloatTensor_data(gradInputImages);
int b, zOut, yOut, xOut;
for(b=0; b < batchsize; b++)
{
#pragma omp parallel for
for(xOut=0; xOut < gradOutput_X; xOut++)
{
for(yOut=0; yOut < gradOutput_Y; yOut++)
{
for(zOut=0; zOut < gradOutput_Z; zOut++)
{
//read the grid
real xf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X];
real yf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X + grids_stride_C];
real zf = grids_data[b*grids_strideBatch + zOut*grids_stride_Z + yOut*grids_stride_Y + xOut*grids_stride_X + 2*grids_stride_C];
// get the weights for interpolation
int zInLowLowLow, yInLowLowLow, xInLowLowLow;
real zWeightLowLowLow, yWeightLowLowLow, xWeightLowLowLow;
real xcoord = (xf + 1) * (inputImages_X - 1) / 2;
xInLowLowLow = floor(xcoord);
xWeightLowLowLow = 1 - (xcoord - xInLowLowLow);
real ycoord = (yf + 1) * (inputImages_Y - 1) / 2;
yInLowLowLow = floor(ycoord);
yWeightLowLowLow = 1 - (ycoord - yInLowLowLow);
real zcoord = (zf + 1) * (inputImages_Z - 1) / 2;
zInLowLowLow = floor(zcoord);
zWeightLowLowLow = 1 - (zcoord - zInLowLowLow);
bool xBeyondLow = xInLowLowLow < 0;
bool yBeyondLow = yInLowLowLow < 0;
bool zBeyondLow = zInLowLowLow < 0;
bool xBeyondHigh = xInLowLowLow+1 > inputImages_X-1;
bool yBeyondHigh = yInLowLowLow+1 > inputImages_Y-1;
bool zBeyondHigh = zInLowLowLow+1 > inputImages_Z-1;
/////////////// using non zero border condition
if (!zero_boundary_bool) {
if (xBeyondLow)
xInLowLowLow = 0;
if (xBeyondHigh)
xInLowLowLow = inputImages_X-2;
if (yBeyondLow)
yInLowLowLow = 0;
if (yBeyondHigh)
yInLowLowLow = inputImages_Y-2;
if (zBeyondLow)
zInLowLowLow = 0;
if (zBeyondHigh)
zInLowLowLow = inputImages_Z-2;
}
const int inLowLowLowAddress = inputImages_strideBatch * b + inputImages_stride_Z * zInLowLowLow +
inputImages_stride_Y * yInLowLowLow + inputImages_stride_X * xInLowLowLow;
const int inLowLowHighAddress = inLowLowLowAddress + inputImages_stride_Z;
const int inLowHighLowAddress = inLowLowLowAddress + inputImages_stride_Y;
const int inLowHighHighAddress = inLowLowLowAddress + inputImages_stride_Y + inputImages_stride_Z;
const int inHighLowLowAddress = inLowLowLowAddress + inputImages_stride_X;
const int inHighLowHighAddress = inHighLowLowAddress + inputImages_stride_Z;
const int inHighHighLowAddress = inHighLowLowAddress + inputImages_stride_Y;
const int inHighHighHighAddress = inHighLowLowAddress + inputImages_stride_Y + inputImages_stride_Z;
const int gradInputImagesLowLowLowAddress = gradInputImages_strideBatch * b + gradInputImages_stride_Z * zInLowLowLow +
gradInputImages_stride_Y * yInLowLowLow + gradInputImages_stride_X * xInLowLowLow;
const int gradInputImagesLowLowHighAddress = gradInputImagesLowLowLowAddress + gradInputImages_stride_Z;
const int gradInputImagesLowHighLowAddress = gradInputImagesLowLowLowAddress + gradInputImages_stride_Y;
const int gradInputImagesLowHighHighAddress = gradInputImagesLowLowLowAddress + gradInputImages_stride_Y + gradInputImages_stride_Z;
const int gradInputImagesHighLowLowAddress = gradInputImagesLowLowLowAddress + gradInputImages_stride_X;
const int gradInputImagesHighLowHighAddress = gradInputImagesHighLowLowAddress + gradInputImages_stride_Z;
const int gradInputImagesHighHighLowAddress = gradInputImagesHighLowLowAddress + gradInputImages_stride_Y;
const int gradInputImagesHighHighHighAddress = gradInputImagesHighLowLowAddress + gradInputImages_stride_Y + gradInputImages_stride_Z;
const int gradOutputAddress = gradOutput_strideBatch * b + gradOutput_stride_Z * zOut + gradOutput_stride_Y * yOut + gradOutput_stride_X * xOut;
real lowLowLowDotProduct = 0;
real lowLowHighDotProduct = 0;
real lowHighLowDotProduct = 0;
real lowHighHighDotProduct = 0;
real highLowLowDotProduct = 0;
real highLowHighDotProduct = 0;
real highHighLowDotProduct = 0;
real highHighHighDotProduct = 0;
real v=0;
real inLowLowLow=0;
real inLowLowHigh=0;
real inLowHighLow=0;
real inLowHighHigh=0;
real inHighLowLow=0;
real inHighLowHigh=0;
real inHighHighLow=0;
real inHighHighHigh=0;
int t;
for(t=0; t<inputImages_C; t++)
{
real gradOutValue = gradOutput_data[gradOutputAddress + t*gradOutput_stride_C];
if (!zero_boundary_bool || (! (xBeyondLow || yBeyondLow || xBeyondHigh || yBeyondHigh || zBeyondLow || zBeyondHigh))){
real inLowLowLow = inputImages_data[inLowLowLowAddress + t*inputImages_stride_C];
lowLowLowDotProduct += inLowLowLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowLowLowAddress + t*gradInputImages_stride_C] += xWeightLowLowLow * yWeightLowLowLow * zWeightLowLowLow * gradOutValue;
real inLowLowHigh = inputImages_data[inLowLowHighAddress + t*inputImages_stride_C];
lowLowHighDotProduct += inLowLowHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowLowHighAddress + t*gradInputImages_stride_C] += xWeightLowLowLow * yWeightLowLowLow * (1-zWeightLowLowLow) * gradOutValue; // CHECK: CORRECT?
real inLowHighLow = inputImages_data[inLowHighLowAddress + t*inputImages_stride_C];
lowHighLowDotProduct += inLowHighLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowHighLowAddress + t*gradInputImages_stride_C] += xWeightLowLowLow * (1-yWeightLowLowLow) * zWeightLowLowLow * gradOutValue; // CHECK: CORRECT?
real inLowHighHigh = inputImages_data[inLowHighHighAddress + t*inputImages_stride_C];
lowHighHighDotProduct += inLowHighHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesLowHighHighAddress + t*gradInputImages_stride_C] += xWeightLowLowLow * (1 - yWeightLowLowLow) * (1-zWeightLowLowLow) * gradOutValue;
real inHighLowLow = inputImages_data[inHighLowLowAddress + t*inputImages_stride_C];
highLowLowDotProduct += inHighLowLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighLowLowAddress + t*gradInputImages_stride_C] += (1-xWeightLowLowLow) * yWeightLowLowLow * zWeightLowLowLow * gradOutValue;
real inHighLowHigh = inputImages_data[inHighLowHighAddress + t*inputImages_stride_C];
highLowHighDotProduct += inHighLowHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighLowHighAddress + t*gradInputImages_stride_C] += (1-xWeightLowLowLow) * yWeightLowLowLow * (1-zWeightLowLowLow) * gradOutValue; // CHECK: CORRECT?
real inHighHighLow = inputImages_data[inHighHighLowAddress + t*inputImages_stride_C];
highHighLowDotProduct += inHighHighLow * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighHighLowAddress + t*gradInputImages_stride_C] += (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * zWeightLowLowLow * gradOutValue; // CHECK: CORRECT?
real inHighHighHigh = inputImages_data[inHighHighHighAddress + t*inputImages_stride_C];
highHighHighDotProduct += inHighHighHigh * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesHighHighHighAddress + t*gradInputImages_stride_C] += (1-xWeightLowLowLow) * (1 - yWeightLowLowLow) * (1-zWeightLowLowLow) * gradOutValue;
}
}
// CHECK: CORRECT?
xf = - yWeightLowLowLow * zWeightLowLowLow * lowLowLowDotProduct + yWeightLowLowLow * zWeightLowLowLow * highLowLowDotProduct
- yWeightLowLowLow * (1-zWeightLowLowLow) * lowLowHighDotProduct + yWeightLowLowLow * (1-zWeightLowLowLow) * highLowHighDotProduct
- (1-yWeightLowLowLow) * zWeightLowLowLow * lowHighLowDotProduct + (1-yWeightLowLowLow) * zWeightLowLowLow * highHighLowDotProduct
- (1-yWeightLowLowLow) * (1-zWeightLowLowLow) * lowHighHighDotProduct + (1-yWeightLowLowLow) * (1-zWeightLowLowLow) * highHighHighDotProduct;
yf = - xWeightLowLowLow * zWeightLowLowLow * lowLowLowDotProduct + xWeightLowLowLow * zWeightLowLowLow * lowHighLowDotProduct
- xWeightLowLowLow * (1-zWeightLowLowLow) * lowLowHighDotProduct + xWeightLowLowLow * (1-zWeightLowLowLow) * lowHighHighDotProduct
- (1-xWeightLowLowLow) * zWeightLowLowLow * highLowLowDotProduct + (1-xWeightLowLowLow) * zWeightLowLowLow * highHighLowDotProduct
- (1-xWeightLowLowLow) * (1-zWeightLowLowLow) * highLowHighDotProduct + (1-xWeightLowLowLow) * (1-zWeightLowLowLow) * highHighHighDotProduct;
zf = - xWeightLowLowLow * yWeightLowLowLow * lowLowLowDotProduct + xWeightLowLowLow * yWeightLowLowLow * lowLowHighDotProduct
- (1-xWeightLowLowLow) * yWeightLowLowLow * highLowLowDotProduct + (1-xWeightLowLowLow) * yWeightLowLowLow * highLowHighDotProduct
- xWeightLowLowLow * (1-yWeightLowLowLow) * lowHighLowDotProduct + xWeightLowLowLow * (1-yWeightLowLowLow) * lowHighHighDotProduct
- (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * highHighLowDotProduct + (1-xWeightLowLowLow) * (1-yWeightLowLowLow) * highHighHighDotProduct;
gradGrids_data[b*gradGrids_strideBatch + zOut*gradGrids_stride_Z + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X] = xf * (inputImages_X-1) / 2;
gradGrids_data[b*gradGrids_strideBatch + zOut*gradGrids_stride_Z + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X + gradGrids_stride_C] = yf * (inputImages_Y-1) / 2;
gradGrids_data[b*gradGrids_strideBatch + zOut*gradGrids_stride_Z + yOut*gradGrids_stride_Y + xOut*gradGrids_stride_X + 2*gradGrids_stride_C] = zf * (inputImages_Z-1) / 2;
}
}
}
}
return 1;
}
int BilinearSamplerBHWD_updateGradInput(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int zero_boundary)
{
bool onlyGrid=false;
bool zero_boundary_bool = zero_boundary == 1;
int batchsize = THFloatTensor_size(inputImages,0);
int inputImages_height = THFloatTensor_size(inputImages,1);
int inputImages_width = THFloatTensor_size(inputImages,2);
int gradOutput_height = THFloatTensor_size(gradOutput,1);
int gradOutput_width = THFloatTensor_size(gradOutput,2);
int inputImages_channels = THFloatTensor_size(inputImages,3);
int gradOutput_strideBatch = THFloatTensor_stride(gradOutput,0);
int gradOutput_strideHeight = THFloatTensor_stride(gradOutput,1);
int gradOutput_strideWidth = THFloatTensor_stride(gradOutput,2);
int inputImages_strideBatch = THFloatTensor_stride(inputImages,0);
int inputImages_strideHeight = THFloatTensor_stride(inputImages,1);
int inputImages_strideWidth = THFloatTensor_stride(inputImages,2);
int gradInputImages_strideBatch = THFloatTensor_stride(gradInputImages,0);
int gradInputImages_strideHeight = THFloatTensor_stride(gradInputImages,1);
int gradInputImages_strideWidth = THFloatTensor_stride(gradInputImages,2);
int grids_strideBatch = THFloatTensor_stride(grids,0);
int grids_strideHeight = THFloatTensor_stride(grids,1);
int grids_strideWidth = THFloatTensor_stride(grids,2);
int gradGrids_strideBatch = THFloatTensor_stride(gradGrids,0);
int gradGrids_strideHeight = THFloatTensor_stride(gradGrids,1);
int gradGrids_strideWidth = THFloatTensor_stride(gradGrids,2);
real *inputImages_data, *gradOutput_data, *grids_data, *gradGrids_data, *gradInputImages_data;
inputImages_data = THFloatTensor_data(inputImages);
gradOutput_data = THFloatTensor_data(gradOutput);
grids_data = THFloatTensor_data(grids);
gradGrids_data = THFloatTensor_data(gradGrids);
gradInputImages_data = THFloatTensor_data(gradInputImages);
int b, yOut, xOut;
for(b=0; b < batchsize; b++)
{
for(yOut=0; yOut < gradOutput_height; yOut++)
{
for(xOut=0; xOut < gradOutput_width; xOut++)
{
//read the grid
real yf = grids_data[b*grids_strideBatch + yOut*grids_strideHeight + xOut*grids_strideWidth];
real xf = grids_data[b*grids_strideBatch + yOut*grids_strideHeight + xOut*grids_strideWidth + 1];
// get the weights for interpolation
int yInTopLeft, xInTopLeft;
real yWeightTopLeft, xWeightTopLeft;
real xcoord = (xf + 1) * (inputImages_width - 1) / 2;
xInTopLeft = floor(xcoord);
xWeightTopLeft = 1 - (xcoord - xInTopLeft);
real ycoord = (yf + 1) * (inputImages_height - 1) / 2;
yInTopLeft = floor(ycoord);
yWeightTopLeft = 1 - (ycoord - yInTopLeft);
const int inTopLeftAddress = inputImages_strideBatch * b + inputImages_strideHeight * yInTopLeft + inputImages_strideWidth * xInTopLeft;
const int inTopRightAddress = inTopLeftAddress + inputImages_strideWidth;
const int inBottomLeftAddress = inTopLeftAddress + inputImages_strideHeight;
const int inBottomRightAddress = inBottomLeftAddress + inputImages_strideWidth;
const int gradInputImagesTopLeftAddress = gradInputImages_strideBatch * b + gradInputImages_strideHeight * yInTopLeft + gradInputImages_strideWidth * xInTopLeft;
const int gradInputImagesTopRightAddress = gradInputImagesTopLeftAddress + gradInputImages_strideWidth;
const int gradInputImagesBottomLeftAddress = gradInputImagesTopLeftAddress + gradInputImages_strideHeight;
const int gradInputImagesBottomRightAddress = gradInputImagesBottomLeftAddress + gradInputImages_strideWidth;
const int gradOutputAddress = gradOutput_strideBatch * b + gradOutput_strideHeight * yOut + gradOutput_strideWidth * xOut;
real topLeftDotProduct = 0;
real topRightDotProduct = 0;
real bottomLeftDotProduct = 0;
real bottomRightDotProduct = 0;
real v=0;
real inTopLeft=0;
real inTopRight=0;
real inBottomLeft=0;
real inBottomRight=0;
// we are careful with the boundaries
bool topLeftIsIn = xInTopLeft >= 0 && xInTopLeft <= inputImages_width-1 && yInTopLeft >= 0 && yInTopLeft <= inputImages_height-1;
bool topRightIsIn = xInTopLeft+1 >= 0 && xInTopLeft+1 <= inputImages_width-1 && yInTopLeft >= 0 && yInTopLeft <= inputImages_height-1;
bool bottomLeftIsIn = xInTopLeft >= 0 && xInTopLeft <= inputImages_width-1 && yInTopLeft+1 >= 0 && yInTopLeft+1 <= inputImages_height-1;
bool bottomRightIsIn = xInTopLeft+1 >= 0 && xInTopLeft+1 <= inputImages_width-1 && yInTopLeft+1 >= 0 && yInTopLeft+1 <= inputImages_height-1;
int t;
for(t=0; t<inputImages_channels; t++)
{
real gradOutValue = gradOutput_data[gradOutputAddress + t];
if(topLeftIsIn)
{
real inTopLeft = inputImages_data[inTopLeftAddress + t];
topLeftDotProduct += inTopLeft * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesTopLeftAddress + t] += xWeightTopLeft * yWeightTopLeft * gradOutValue;
}
if(topRightIsIn)
{
real inTopRight = inputImages_data[inTopRightAddress + t];
topRightDotProduct += inTopRight * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesTopRightAddress + t] += (1 - xWeightTopLeft) * yWeightTopLeft * gradOutValue;
}
if(bottomLeftIsIn)
{
real inBottomLeft = inputImages_data[inBottomLeftAddress + t];
bottomLeftDotProduct += inBottomLeft * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesBottomLeftAddress + t] += xWeightTopLeft * (1 - yWeightTopLeft) * gradOutValue;
}
if(bottomRightIsIn)
{
real inBottomRight = inputImages_data[inBottomRightAddress + t];
bottomRightDotProduct += inBottomRight * gradOutValue;
if(!onlyGrid) gradInputImages_data[gradInputImagesBottomRightAddress + t] += (1 - xWeightTopLeft) * (1 - yWeightTopLeft) * gradOutValue;
}
}
yf = - xWeightTopLeft * topLeftDotProduct + xWeightTopLeft * bottomLeftDotProduct - (1-xWeightTopLeft) * topRightDotProduct + (1-xWeightTopLeft) * bottomRightDotProduct;
xf = - yWeightTopLeft * topLeftDotProduct + yWeightTopLeft * topRightDotProduct - (1-yWeightTopLeft) * bottomLeftDotProduct + (1-yWeightTopLeft) * bottomRightDotProduct;
gradGrids_data[b*gradGrids_strideBatch + yOut*gradGrids_strideHeight + xOut*gradGrids_strideWidth] = yf * (inputImages_height-1) / 2;
gradGrids_data[b*gradGrids_strideBatch + yOut*gradGrids_strideHeight + xOut*gradGrids_strideWidth + 1] = xf * (inputImages_width-1) / 2;
}
}
}
return 1;
}
int BilinearSamplerBXYZC_updateGradInput_ND(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int ndim, int zero_boundary)
{
switch( ndim )
{
case 1: return BilinearSamplerBXC_updateGradInput_1D( inputImages, grids, gradInputImages, gradGrids, gradOutput,zero_boundary ); break;
case 2: return BilinearSamplerBXYC_updateGradInput_2D( inputImages, grids, gradInputImages, gradGrids, gradOutput,zero_boundary ); break;
case 3: return BilinearSamplerBXYZC_updateGradInput_3D( inputImages, grids, gradInputImages, gradGrids, gradOutput,zero_boundary ); break;
default: return -1;
}
}
int BilinearSamplerBCXYZ_updateGradInput_ND(THFloatTensor *inputImages, THFloatTensor *grids, THFloatTensor *gradInputImages,
THFloatTensor *gradGrids, THFloatTensor *gradOutput, int ndim, int zero_boundary)
{
switch( ndim )
{
case 1: return BilinearSamplerBCX_updateGradInput_1D( inputImages, grids, gradInputImages, gradGrids, gradOutput,zero_boundary ); break;
case 2: return BilinearSamplerBCXY_updateGradInput_2D( inputImages, grids, gradInputImages, gradGrids, gradOutput,zero_boundary ); break;
case 3: return BilinearSamplerBCXYZ_updateGradInput_3D( inputImages, grids, gradInputImages, gradGrids, gradOutput,zero_boundary ); break;
default: return -1;
}
}
|
GB_wait.c | //------------------------------------------------------------------------------
// GB_wait: finish all pending computations on a single matrix
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// CALLS: GB_builder
// The matrix A has zombies and/or pending tuples placed there by
// GrB_setElement, GrB_*assign, or GB_mxm. Zombies must now be deleted, and
// pending tuples must now be assembled together and added into the matrix.
// The indices in A might also be jumbled; if so, they are sorted now.
// When the function returns, and all pending tuples and zombies have been
// deleted. This is true even the function fails due to lack of memory (in
// that case, the matrix is cleared as well).
// If A is hypersparse, the time taken is at most O(nnz(A) + t log t), where t
// is the number of pending tuples in A, and nnz(A) includes both zombies and
// live entries. There is no O(m) or O(n) time component, if A is m-by-n.
// If the number of non-empty vectors of A grows too large, then A can be
// converted to non-hypersparse.
// If A is non-hypersparse, then O(n) is added in the worst case, to prune
// zombies and to update the vector pointers for A.
// If A->nvec_nonempty is unknown (-1) it is computed.
// If the method is successful, it does an OpenMP flush just before returning.
#define GB_FREE_ALL \
{ \
GB_phbix_free (A) ; \
GB_Matrix_free (&T) ; \
GB_Matrix_free (&S) ; \
GB_Matrix_free (&A1) ; \
}
#include "GB_select.h"
#include "GB_add.h"
#include "GB_Pending.h"
#include "GB_build.h"
#include "GB_jappend.h"
GB_PUBLIC
GrB_Info GB_wait // finish all pending computations
(
GrB_Matrix A, // matrix with pending computations
const char *name, // name of the matrix
GB_Context Context
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
GrB_Info info = GrB_SUCCESS ;
struct GB_Matrix_opaque T_header, A1_header, S_header ;
GrB_Matrix T = NULL, A1 = NULL, S = NULL ;
ASSERT_MATRIX_OK (A, "A to wait", GB_FLIP (GB0)) ;
if (GB_IS_FULL (A) || GB_IS_BITMAP (A))
{
// full and bitmap matrices never have any pending work
ASSERT (!GB_ZOMBIES (A)) ;
ASSERT (!GB_JUMBLED (A)) ;
ASSERT (!GB_PENDING (A)) ;
ASSERT (A->nvec_nonempty >= 0) ;
// ensure the matrix is written to memory
#pragma omp flush
return (GrB_SUCCESS) ;
}
// only sparse and hypersparse matrices can have pending work
ASSERT (GB_IS_SPARSE (A) || GB_IS_HYPERSPARSE (A)) ;
ASSERT (GB_ZOMBIES_OK (A)) ;
ASSERT (GB_JUMBLED_OK (A)) ;
ASSERT (GB_PENDING_OK (A)) ;
//--------------------------------------------------------------------------
// get the zombie and pending count, and burble if work needs to be done
//--------------------------------------------------------------------------
int64_t nzombies = A->nzombies ;
int64_t npending = GB_Pending_n (A) ;
const bool A_iso = A->iso ;
if (nzombies > 0 || npending > 0 || A->jumbled || A->nvec_nonempty < 0)
{
GB_BURBLE_MATRIX (A, "(%swait:%s " GBd " %s, " GBd " pending%s%s) ",
A_iso ? "iso " : "", name, nzombies,
(nzombies == 1) ? "zombie" : "zombies", npending,
A->jumbled ? ", jumbled" : "",
A->nvec_nonempty < 0 ? ", nvec" : "") ;
}
//--------------------------------------------------------------------------
// determine the max # of threads to use
//--------------------------------------------------------------------------
GB_GET_NTHREADS_MAX (nthreads_max, chunk, Context) ;
//--------------------------------------------------------------------------
// check if only A->nvec_nonempty is needed
//--------------------------------------------------------------------------
if (npending == 0 && nzombies == 0 && !A->jumbled)
{
if (A->nvec_nonempty < 0)
{
A->nvec_nonempty = GB_nvec_nonempty (A, Context) ;
}
return (GrB_SUCCESS) ;
}
//--------------------------------------------------------------------------
// check if A only needs to be unjumbled
//--------------------------------------------------------------------------
if (npending == 0 && nzombies == 0)
{
// A is not conformed, so the sparsity structure of A is not modified.
// That is, if A has no pending tuples and no zombies, but is just
// jumbled, then it stays sparse or hypersparse.
GB_OK (GB_unjumble (A, Context)) ;
ASSERT (GB_IMPLIES (info == GrB_SUCCESS, A->nvec_nonempty >= 0)) ;
return (info) ;
}
//--------------------------------------------------------------------------
// assemble the pending tuples into T
//--------------------------------------------------------------------------
int64_t anz_orig = GB_nnz (A) ;
int64_t asize = A->type->size ;
int64_t tnz = 0 ;
if (npending > 0)
{
//----------------------------------------------------------------------
// construct a new hypersparse matrix T with just the pending tuples
//----------------------------------------------------------------------
// T has the same type as A->type, which can differ from the type of
// the pending tuples, A->Pending->type. The Pending->op can be NULL
// (an implicit SECOND function), or it can be any accum operator. The
// z=accum(x,y) operator can have any types, and it does not have to be
// associative. T is constructed as iso if A is iso.
GB_void *S_input = (A_iso) ? ((GB_void *) A->x) : NULL ;
GrB_Type stype = (A_iso) ? A->type : A->Pending->type ;
GB_CLEAR_STATIC_HEADER (T, &T_header) ;
info = GB_builder (
T, // create T using a static header
A->type, // T->type = A->type
A->vlen, // T->vlen = A->vlen
A->vdim, // T->vdim = A->vdim
A->is_csc, // T->is_csc = A->is_csc
&(A->Pending->i), // iwork_handle, becomes T->i on output
&(A->Pending->i_size),
&(A->Pending->j), // jwork_handle, free on output
&(A->Pending->j_size),
&(A->Pending->x), // Swork_handle, free on output
&(A->Pending->x_size),
A->Pending->sorted, // tuples may or may not be sorted
false, // there might be duplicates; look for them
A->Pending->nmax, // size of Pending->[ijx] arrays
true, // is_matrix: unused
NULL, NULL, S_input, // original I,J,S_input tuples
A_iso, // pending tuples are iso if A is iso
npending, // # of tuples
A->Pending->op, // dup operator for assembling duplicates,
// NULL if A is iso
stype, // type of Pending->x
Context
) ;
//----------------------------------------------------------------------
// free pending tuples
//----------------------------------------------------------------------
// The tuples have been converted to T, which is more compact, and
// duplicates have been removed. The following work needs to be done
// even if the builder fails.
// GB_builder frees A->Pending->j and A->Pending->x. If successful,
// A->Pending->i is now T->i. Otherwise A->Pending->i is freed. In
// both cases, A->Pending->i is NULL.
ASSERT (A->Pending->i == NULL) ;
ASSERT (A->Pending->j == NULL) ;
ASSERT (A->Pending->x == NULL) ;
// free the list of pending tuples
GB_Pending_free (&(A->Pending)) ;
ASSERT (!GB_PENDING (A)) ;
ASSERT_MATRIX_OK (A, "A after moving pending tuples to T", GB0) ;
//----------------------------------------------------------------------
// check the status of the builder
//----------------------------------------------------------------------
// Finally check the status of the builder. The pending tuples, must
// be freed (just above), whether or not the builder is successful.
if (info != GrB_SUCCESS)
{
// out of memory in GB_builder
GB_FREE_ALL ;
return (info) ;
}
ASSERT_MATRIX_OK (T, "T = hypersparse matrix of pending tuples", GB0) ;
ASSERT (GB_IS_HYPERSPARSE (T)) ;
ASSERT (!GB_ZOMBIES (T)) ;
ASSERT (!GB_JUMBLED (T)) ;
ASSERT (!GB_PENDING (T)) ;
tnz = GB_nnz (T) ;
ASSERT (tnz > 0) ;
}
//--------------------------------------------------------------------------
// delete zombies
//--------------------------------------------------------------------------
// A zombie is an entry A(i,j) in the matrix that as been marked for
// deletion, but hasn't been deleted yet. It is marked by "negating"
// replacing its index i with GB_FLIP(i).
// TODO: pass tnz to GB_selector, to pad the reallocated A matrix
ASSERT_MATRIX_OK (A, "A before zombies removed", GB0) ;
if (nzombies > 0)
{
// remove all zombies from A
GB_OK (GB_selector (
NULL, // A in-place
GB_NONZOMBIE_selop_code, // use the opcode only
NULL, // no GB_Operator
false, // flipij is false
A, // input/output matrix
0, // ithunk is unused
NULL, // no GrB_Scalar Thunk
Context)) ;
ASSERT (A->nzombies == (anz_orig - GB_nnz (A))) ;
A->nzombies = 0 ;
}
ASSERT_MATRIX_OK (A, "A after zombies removed", GB0) ;
// all the zombies are gone, and pending tuples are now in T
ASSERT (!GB_ZOMBIES (A)) ;
ASSERT (GB_JUMBLED_OK (A)) ;
ASSERT (!GB_PENDING (A)) ;
//--------------------------------------------------------------------------
// unjumble the matrix
//--------------------------------------------------------------------------
GB_OK (GB_unjumble (A, Context)) ;
ASSERT (!GB_ZOMBIES (A)) ;
ASSERT (!GB_JUMBLED (A)) ;
ASSERT (!GB_PENDING (A)) ;
//--------------------------------------------------------------------------
// check for pending tuples
//--------------------------------------------------------------------------
if (npending == 0)
{
// conform A to its desired sparsity structure and return result
info = GB_conform (A, Context) ;
ASSERT (GB_IMPLIES (info == GrB_SUCCESS, A->nvec_nonempty >= 0)) ;
#pragma omp flush
return (info) ;
}
//--------------------------------------------------------------------------
// check for quick transplant
//--------------------------------------------------------------------------
int64_t anz = GB_nnz (A) ;
if (anz == 0)
{
// A has no entries so just transplant T into A, then free T and
// conform A to its desired hypersparsity.
info = GB_transplant_conform (A, A->type, &T, Context) ;
ASSERT (GB_IMPLIES (info == GrB_SUCCESS, A->nvec_nonempty >= 0)) ;
#pragma omp flush
return (info) ;
}
//--------------------------------------------------------------------------
// determine the method for A = A+T
//--------------------------------------------------------------------------
// If anz > 0, T is hypersparse, even if A is a GrB_Vector
ASSERT (GB_IS_HYPERSPARSE (T)) ;
ASSERT (tnz > 0) ;
ASSERT (T->nvec > 0) ;
ASSERT (A->nvec > 0) ;
// tjfirst = first vector in T
int64_t tjfirst = T->h [0] ;
int64_t anz0 = 0 ;
int64_t kA = 0 ;
int64_t jlast ;
int64_t *restrict Ap = A->p ;
int64_t *restrict Ah = A->h ;
int64_t *restrict Ai = A->i ;
GB_void *restrict Ax = (GB_void *) A->x ;
int64_t anvec = A->nvec ;
// anz0 = nnz (A0) = nnz (A (:, 0:tjfirst-1)), the region not modified by T
if (A->h != NULL)
{
// find tjfirst in A->h
int64_t pright = anvec - 1 ;
bool found ;
GB_SPLIT_BINARY_SEARCH (tjfirst, A->h, kA, pright, found) ;
// A->h [0 ... kA-1] excludes vector tjfirst. The list
// A->h [kA ... anvec-1] includes tjfirst.
ASSERT (kA >= 0 && kA <= anvec) ;
ASSERT (GB_IMPLIES (kA > 0 && kA < anvec, A->h [kA-1] < tjfirst)) ;
ASSERT (GB_IMPLIES (found, A->h [kA] == tjfirst)) ;
jlast = (kA > 0) ? A->h [kA-1] : (-1) ;
}
else
{
kA = tjfirst ;
jlast = tjfirst - 1 ;
}
// anz1 = nnz (A1) = nnz (A (:, kA:end)), the region modified by T
anz0 = A->p [kA] ;
int64_t anz1 = anz - anz0 ;
bool ignore ;
// A + T will have anz_new entries
int64_t anz_new = anz + tnz ; // must have at least this space
if (2 * anz1 < anz0)
{
//----------------------------------------------------------------------
// append new tuples to A
//----------------------------------------------------------------------
// A is growing incrementally. It splits into two parts: A = [A0 A1].
// where A0 = A (:, 0:kA-1) and A1 = A (:, kA:end). The
// first part (A0 with anz0 = nnz (A0) entries) is not modified. The
// second part (A1, with anz1 = nnz (A1) entries) overlaps with T.
// If anz1 is zero, or small compared to anz0, then it is faster to
// leave A0 unmodified, and to update just A1.
// TODO: if A also had zombies, GB_selector could pad A so that
// GB_nnz_max (A) is equal to anz + tnz.
// make sure A has enough space for the new tuples
if (anz_new > GB_nnz_max (A))
{
// double the size if not enough space
GB_OK (GB_ix_realloc (A, 2 * anz_new, Context)) ;
Ai = A->i ;
Ax = (GB_void *) A->x ;
}
//----------------------------------------------------------------------
// T = A1 + T
//----------------------------------------------------------------------
if (anz1 > 0)
{
//------------------------------------------------------------------
// extract A1 = A (:, kA:end) as a shallow copy
//------------------------------------------------------------------
// A1 = [0, A (:, kA:end)], hypersparse with same dimensions as A
GB_CLEAR_STATIC_HEADER (A1, &A1_header) ;
GB_OK (GB_new (&A1, // hyper, existing header
A->type, A->vlen, A->vdim, GB_Ap_malloc, A->is_csc,
GxB_HYPERSPARSE, GB_ALWAYS_HYPER, anvec - kA, Context)) ;
// the A1->i and A1->x content are shallow copies of A(:,kA:end).
// They are not allocated pointers, but point to space inside
// Ai and Ax.
A1->x = (void *) (Ax + (A_iso ? 0 : (asize * anz0))) ;
A1->x_size = (A_iso ? 1 : anz1) * asize ;
A1->x_shallow = true ;
A1->i = Ai + anz0 ;
A1->i_size = anz1 * sizeof (int64_t) ;
A1->i_shallow = true ;
A1->iso = A_iso ; // OK
// fill the column A1->h and A1->p with A->h and A->p, shifted
int64_t *restrict A1p = A1->p ;
int64_t *restrict A1h = A1->h ;
int64_t a1nvec = 0 ;
for (int64_t k = kA ; k < anvec ; k++)
{
// get A (:,k)
int64_t pA_start = Ap [k] ;
int64_t pA_end = Ap [k+1] ;
if (pA_end > pA_start)
{
// add this column to A1 if A (:,k) is not empty
int64_t j = GBH (Ah, k) ;
A1p [a1nvec] = pA_start - anz0 ;
A1h [a1nvec] = j ;
a1nvec++ ;
}
}
// finalize A1
A1p [a1nvec] = anz1 ;
A1->nvec = a1nvec ;
A1->nvec_nonempty = a1nvec ;
A1->magic = GB_MAGIC ;
ASSERT_MATRIX_OK (A1, "A1 slice for GB_wait", GB0) ;
//------------------------------------------------------------------
// S = A1 + T, with no operator or mask
//------------------------------------------------------------------
GB_CLEAR_STATIC_HEADER (S, &S_header) ;
GB_OK (GB_add (S, A->type, A->is_csc, NULL, 0, 0, &ignore, A1, T,
false, NULL, NULL, NULL, Context)) ;
ASSERT_MATRIX_OK (S, "S = A1+T", GB0) ;
// free A1 and T
GB_Matrix_free (&T) ;
GB_Matrix_free (&A1) ;
//------------------------------------------------------------------
// replace T with S
//------------------------------------------------------------------
T = S ;
S = NULL ;
tnz = GB_nnz (T) ;
//------------------------------------------------------------------
// remove A1 from the vectors of A, if A is hypersparse
//------------------------------------------------------------------
if (A->h != NULL)
{
A->nvec = kA ;
}
}
//----------------------------------------------------------------------
// append T to the end of A0
//----------------------------------------------------------------------
const int64_t *restrict Tp = T->p ;
const int64_t *restrict Th = T->h ;
const int64_t *restrict Ti = T->i ;
int64_t tnvec = T->nvec ;
anz = anz0 ;
int64_t anz_last = anz ;
int nthreads = GB_nthreads (tnz, chunk, nthreads_max) ;
// append the indices and values of T to the end of A
GB_memcpy (Ai + anz, Ti, tnz * sizeof (int64_t), nthreads) ;
if (!A_iso)
{
const GB_void *restrict Tx = (GB_void *) T->x ;
GB_memcpy (Ax + anz * asize, Tx, tnz * asize, nthreads) ;
}
// append the vectors of T to the end of A
for (int64_t k = 0 ; k < tnvec ; k++)
{
int64_t j = Th [k] ;
ASSERT (j >= tjfirst) ;
anz += (Tp [k+1] - Tp [k]) ;
GB_OK (GB_jappend (A, j, &jlast, anz, &anz_last, Context)) ;
}
GB_jwrapup (A, jlast, anz) ;
ASSERT (anz == anz_new) ;
// need to recompute the # of non-empty vectors in GB_conform
A->nvec_nonempty = -1 ; // recomputed just below
ASSERT_MATRIX_OK (A, "A after GB_wait:append", GB0) ;
GB_Matrix_free (&T) ;
// conform A to its desired sparsity structure
info = GB_conform (A, Context) ;
}
else
{
//----------------------------------------------------------------------
// A = A+T
//----------------------------------------------------------------------
// The update is not incremental since most of A is changing. Just do
// a single parallel add: S=A+T, free T, and then transplant S back
// into A. The nzmax of A is tight, with no room for future
// incremental growth.
// FUTURE:: if GB_add could tolerate zombies in A, then the initial
// prune of zombies can be skipped.
GB_CLEAR_STATIC_HEADER (S, &S_header) ;
GB_OK (GB_add (S, A->type, A->is_csc, NULL, 0, 0, &ignore, A, T,
false, NULL, NULL, NULL, Context)) ;
GB_Matrix_free (&T) ;
ASSERT_MATRIX_OK (S, "S after GB_wait:add", GB0) ;
info = GB_transplant_conform (A, A->type, &S, Context) ;
}
//--------------------------------------------------------------------------
// flush the matrix and return result
//--------------------------------------------------------------------------
ASSERT (GB_IMPLIES (info == GrB_SUCCESS, A->nvec_nonempty >= 0)) ;
#pragma omp flush
return (info) ;
}
|
GB_unop__identity_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__(none))
// op(A') function: GB (_unop_tran__identity_fp64_fp64)
// C type: double
// A type: double
// cast: double cij = aij
// unaryop: cij = 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 = 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] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FP64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
#if 0
GrB_Info GB (_unop_apply__(none))
(
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] = 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] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_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
|
blockchain_fmt_plug.c | /* blockchain "My Wallet" cracker patch for JtR. Hacked together during June of
* 2013 by Dhiru Kholia <dhiru at openwall.com>.
*
* See https://blockchain.info/wallet/wallet-format
*
* This software is Copyright (c) 2013 Dhiru Kholia <dhiru at openwall.com>,
* and it is hereby released to the general public under the following terms:
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted.
*/
#if FMT_EXTERNS_H
extern struct fmt_main fmt_blockchain;
#elif FMT_REGISTERS_H
john_register_one(&fmt_blockchain);
#else
#include <string.h>
#include <errno.h>
#include "arch.h"
#include "jumbo.h"
#include "common.h"
#include "formats.h"
#include "params.h"
#include "options.h"
#include "johnswap.h"
#include "pbkdf2_hmac_sha1.h"
#include <openssl/aes.h>
#ifdef _OPENMP
#include <omp.h>
#define OMP_SCALE 1 // tuned on core i7
#endif
#include "memdbg.h"
#define FORMAT_LABEL "Blockchain"
#define FORMAT_NAME "My Wallet"
#define FORMAT_TAG "$blockchain$"
#define TAG_LENGTH 12
#ifdef MMX_COEF
#define ALGORITHM_NAME "PBKDF2-SHA1 AES " SHA1_N_STR MMX_TYPE
#else
#define ALGORITHM_NAME "PBKDF2-SHA1 AES 32/" ARCH_BITS_STR
#endif
#define BENCHMARK_COMMENT " (x10)"
#define BENCHMARK_LENGTH -1
#define BINARY_SIZE 0
#define BINARY_ALIGN 1
#define PLAINTEXT_LENGTH 125
#define SALT_SIZE sizeof(struct custom_salt)
#define SALT_ALIGN 4
#ifdef MMX_COEF
#define MIN_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA1
#define MAX_KEYS_PER_CRYPT SSE_GROUP_SZ_SHA1
#else
#define MIN_KEYS_PER_CRYPT 1
#define MAX_KEYS_PER_CRYPT 1
#endif
#define BIG_ENOUGH (8192 * 32)
// increase me (in multiples of 16) to increase the decrypted and search area
#define SAFETY_FACTOR 16
static struct fmt_tests agile_keychain_tests[] = {
{"$blockchain$400$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", "strongpassword"},
{"$blockchain$384$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", "qwertyuiop1"},
{NULL}
};
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static int *cracked;
static struct custom_salt {
unsigned char data[BIG_ENOUGH];
int length;
} *cur_salt;
static void init(struct fmt_main *self)
{
#if defined (_OPENMP)
int omp_t = 1;
omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc_tiny(sizeof(*saved_key) *
self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
cracked = mem_calloc_tiny(sizeof(*cracked) *
self->params.max_keys_per_crypt, MEM_ALIGN_WORD);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *ctcopy, *keeptr, *p;
int len;
if (strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH) != 0)
return 0;
ctcopy = strdup(ciphertext);
keeptr = ctcopy;
ctcopy += TAG_LENGTH;
if ((p = strtok(ctcopy, "$")) == NULL)
goto err;
len = atoi(p);
if(len > BIG_ENOUGH)
goto err;
if ((p = strtok(NULL, "$")) == NULL)
goto err;
if (strlen(p) != len * 2)
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 union {
struct custom_salt _cs;
ARCH_WORD_32 dummy;
} un;
struct custom_salt *cs = &(un._cs);
ctcopy += TAG_LENGTH;
p = strtok(ctcopy, "$");
cs->length = atoi(p);
p = strtok(NULL, "$");
for (i = 0; i < cs->length; i++)
cs->data[i] = atoi16[ARCH_INDEX(p[i * 2])] * 16
+ atoi16[ARCH_INDEX(p[i * 2 + 1])];
MEM_FREE(keeptr);
return (void *)cs;
}
static void set_salt(void *salt)
{
cur_salt = (struct custom_salt *)salt;
}
static int blockchain_decrypt(unsigned char *derived_key, unsigned char *data)
{
unsigned char out[SAFETY_FACTOR];
AES_KEY akey;
unsigned char iv[16];
memcpy(iv, cur_salt->data, 16);
if(AES_set_decrypt_key(derived_key, 256, &akey) < 0) {
fprintf(stderr, "AES_set_decrypt_key failed in crypt!\n");
}
AES_cbc_encrypt(data + 16, out, SAFETY_FACTOR, &akey, iv, AES_DECRYPT);
/* various tests */
if (out[0] != '{') // fast test
return -1;
// We are assuming that "guid" will be found in the first block
// itself (when SAFETY_FACTOR is 16).
if (memmem(out, SAFETY_FACTOR, "\"guid\"", 6))
return 0;
if (memmem(out, SAFETY_FACTOR, "sharedKey", 9))
return 0;
// the tests above should be enough (TM)
// if (memmem(out, cur_salt->length, "pbkdf2_iterations", 17))
// return 0;
return -1;
}
static int crypt_all(int *pcount, struct db_salt *salt)
{
int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
#endif
{
#ifdef MMX_COEF
unsigned char master[MAX_KEYS_PER_CRYPT][32];
int lens[MAX_KEYS_PER_CRYPT], i;
unsigned char *pin[MAX_KEYS_PER_CRYPT], *pout[MAX_KEYS_PER_CRYPT];
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
lens[i] = strlen(saved_key[i+index]);
pin[i] = (unsigned char*)saved_key[i+index];
pout[i] = master[i];
}
pbkdf2_sha1_sse((const unsigned char **)pin, lens,
cur_salt->data, 16, 10, pout, 32, 0);
for (i = 0; i < MAX_KEYS_PER_CRYPT; ++i) {
if(blockchain_decrypt(master[i], cur_salt->data) == 0)
cracked[i+index] = 1;
else
cracked[i+index] = 0;
}
#else
unsigned char master[32];
pbkdf2_sha1((unsigned char *)saved_key[index],
strlen(saved_key[index]),
cur_salt->data, 16,
10, master, 32, 0);
#if !ARCH_LITTLE_ENDIAN
{
int i;
for (i = 0; i < 32/sizeof(ARCH_WORD_32); ++i) {
((ARCH_WORD_32*)master)[i] = JOHNSWAP(((ARCH_WORD_32*)master)[i]);
}
}
#endif
if(blockchain_decrypt(master, cur_salt->data) == 0)
cracked[index] = 1;
else
cracked[index] = 0;
#endif
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index;
for (index = 0; index < count; index++)
if (cracked[index])
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return cracked[index];
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static void agile_keychain_set_key(char *key, int index)
{
int saved_key_length = strlen(key);
if (saved_key_length > PLAINTEXT_LENGTH)
saved_key_length = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, saved_key_length);
saved_key[index][saved_key_length] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
struct fmt_main fmt_blockchain = {
{
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_NOT_EXACT,
#if FMT_MAIN_VERSION > 11
{ NULL },
#endif
agile_keychain_tests
}, {
init,
fmt_default_done,
fmt_default_reset,
fmt_default_prepare,
valid,
fmt_default_split,
fmt_default_binary,
get_salt,
#if FMT_MAIN_VERSION > 11
{ NULL },
#endif
fmt_default_source,
{
fmt_default_binary_hash
},
fmt_default_salt_hash,
set_salt,
agile_keychain_set_key,
get_key,
fmt_default_clear_keys,
crypt_all,
{
fmt_default_get_hash
},
cmp_all,
cmp_one,
cmp_exact
}
};
#endif /* plugin stanza */
|
block-11.c | /* PR c++/24516 */
/* { dg-do compile } */
void
bar (int *p)
{
int m;
#pragma omp parallel for
for (m = 0; m < 1000; ++m)
switch (p[m])
{
case 1:
p[m] = 2;
break;
default:
p[m] = 3;
break;
}
}
|
Sema.h | //===--- Sema.h - Semantic Analysis & AST Building --------------*- C++ -*-===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
//
// This file defines the Sema class, which performs semantic analysis and
// builds ASTs.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_SEMA_SEMA_H
#define LLVM_CLANG_SEMA_SEMA_H
#include "clang/AST/Attr.h"
#include "clang/AST/DeclarationName.h"
#include "clang/AST/Expr.h"
#include "clang/AST/ExprObjC.h"
#include "clang/AST/ExternalASTSource.h"
#include "clang/AST/MangleNumberingContext.h"
#include "clang/AST/NSAPI.h"
#include "clang/AST/PrettyPrinter.h"
#include "clang/AST/TypeLoc.h"
#include "clang/Basic/ExpressionTraits.h"
#include "clang/Basic/LangOptions.h"
#include "clang/Basic/Module.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/Specifiers.h"
#include "clang/Basic/TemplateKinds.h"
#include "clang/Basic/TypeTraits.h"
#include "clang/Sema/AnalysisBasedWarnings.h"
#include "clang/Sema/DeclSpec.h"
#include "clang/Sema/ExternalSemaSource.h"
#include "clang/Sema/IdentifierResolver.h"
#include "clang/Sema/LocInfoType.h"
#include "clang/Sema/ObjCMethodList.h"
#include "clang/Sema/Ownership.h"
#include "clang/Sema/Scope.h"
#include "clang/Sema/ScopeInfo.h"
#include "clang/Sema/TypoCorrection.h"
#include "clang/Sema/Weak.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/TinyPtrVector.h"
#include <deque>
#include <memory>
#include <string>
#include <vector>
// HLSL Change Starts
#include "llvm/Support/OacrIgnoreCond.h" // HLSL Change - all sema use is heavily language-dependant
namespace hlsl {
struct UnusualAnnotation;
}
// HLSL Change Ends
namespace llvm {
class APSInt;
template <typename ValueT> struct DenseMapInfo;
template <typename ValueT, typename ValueInfoT> class DenseSet;
class SmallBitVector;
class InlineAsmIdentifierInfo;
}
namespace clang {
class ADLResult;
class ASTConsumer;
class ASTContext;
class ASTMutationListener;
class ASTReader;
class ASTWriter;
class ArrayType;
class AttributeList;
class BlockDecl;
class CapturedDecl;
class CXXBasePath;
class CXXBasePaths;
class CXXBindTemporaryExpr;
typedef SmallVector<CXXBaseSpecifier*, 4> CXXCastPath;
class CXXConstructorDecl;
class CXXConversionDecl;
class CXXDeleteExpr;
class CXXDestructorDecl;
class CXXFieldCollector;
class CXXMemberCallExpr;
class CXXMethodDecl;
class CXXScopeSpec;
class CXXTemporary;
class CXXTryStmt;
class CallExpr;
class ClassTemplateDecl;
class ClassTemplatePartialSpecializationDecl;
class ClassTemplateSpecializationDecl;
class VarTemplatePartialSpecializationDecl;
class CodeCompleteConsumer;
class CodeCompletionAllocator;
class CodeCompletionTUInfo;
class CodeCompletionResult;
class Decl;
class DeclAccessPair;
class DeclContext;
class DeclRefExpr;
class DeclaratorDecl;
class DeducedTemplateArgument;
class DependentDiagnostic;
class DesignatedInitExpr;
class Designation;
class EnableIfAttr;
class EnumConstantDecl;
class Expr;
class ExtVectorType;
class ExternalSemaSource;
class FormatAttr;
class FriendDecl;
class FunctionDecl;
class FunctionProtoType;
class FunctionTemplateDecl;
class ImplicitConversionSequence;
class InitListExpr;
class InitializationKind;
class InitializationSequence;
class InitializedEntity;
class IntegerLiteral;
class LabelStmt;
class LambdaExpr;
class LangOptions;
class LocalInstantiationScope;
class LookupResult;
class MacroInfo;
typedef ArrayRef<std::pair<IdentifierInfo *, SourceLocation>> ModuleIdPath;
class ModuleLoader;
class MultiLevelTemplateArgumentList;
class NamedDecl;
class ObjCCategoryDecl;
class ObjCCategoryImplDecl;
class ObjCCompatibleAliasDecl;
class ObjCContainerDecl;
class ObjCImplDecl;
class ObjCImplementationDecl;
class ObjCInterfaceDecl;
class ObjCIvarDecl;
template <class T> class ObjCList;
class ObjCMessageExpr;
class ObjCMethodDecl;
class ObjCPropertyDecl;
class ObjCProtocolDecl;
class OMPThreadPrivateDecl;
class OMPClause;
class OverloadCandidateSet;
class OverloadExpr;
class ParenListExpr;
class ParmVarDecl;
class Preprocessor;
class PseudoDestructorTypeStorage;
class PseudoObjectExpr;
class QualType;
class StandardConversionSequence;
class Stmt;
class StringLiteral;
class SwitchStmt;
class TemplateArgument;
class TemplateArgumentList;
class TemplateArgumentLoc;
class TemplateDecl;
class TemplateParameterList;
class TemplatePartialOrderingContext;
class TemplateTemplateParmDecl;
class Token;
class TypeAliasDecl;
class TypedefDecl;
class TypedefNameDecl;
class TypeLoc;
class TypoCorrectionConsumer;
class UnqualifiedId;
class UnresolvedLookupExpr;
class UnresolvedMemberExpr;
class UnresolvedSetImpl;
class UnresolvedSetIterator;
class UsingDecl;
class UsingShadowDecl;
class ValueDecl;
class VarDecl;
class VarTemplateSpecializationDecl;
class VisibilityAttr;
class VisibleDeclConsumer;
class IndirectFieldDecl;
struct DeductionFailureInfo;
class TemplateSpecCandidateSet;
namespace sema {
class AccessedEntity;
class BlockScopeInfo;
class CapturedRegionScopeInfo;
class CapturingScopeInfo;
class CompoundScopeInfo;
class DelayedDiagnostic;
class DelayedDiagnosticPool;
class FunctionScopeInfo;
class LambdaScopeInfo;
class PossiblyUnreachableDiag;
class TemplateDeductionInfo;
}
namespace threadSafety {
class BeforeSet;
void threadSafetyCleanup(BeforeSet* Cache);
}
// FIXME: No way to easily map from TemplateTypeParmTypes to
// TemplateTypeParmDecls, so we have this horrible PointerUnion.
typedef std::pair<llvm::PointerUnion<const TemplateTypeParmType*, NamedDecl*>,
SourceLocation> UnexpandedParameterPack;
/// Describes whether we've seen any nullability information for the given
/// file.
struct FileNullability {
/// The first pointer declarator (of any pointer kind) in the file that does
/// not have a corresponding nullability annotation.
SourceLocation PointerLoc;
/// Which kind of pointer declarator we saw.
uint8_t PointerKind;
/// Whether we saw any type nullability annotations in the given file.
bool SawTypeNullability = false;
};
/// A mapping from file IDs to a record of whether we've seen nullability
/// information in that file.
class FileNullabilityMap {
/// A mapping from file IDs to the nullability information for each file ID.
llvm::DenseMap<FileID, FileNullability> Map;
/// A single-element cache based on the file ID.
struct {
FileID File;
FileNullability Nullability;
} Cache;
public:
FileNullability &operator[](FileID file) {
// Check the single-element cache.
if (file == Cache.File)
return Cache.Nullability;
// It's not in the single-element cache; flush the cache if we have one.
if (!Cache.File.isInvalid()) {
Map[Cache.File] = Cache.Nullability;
}
// Pull this entry into the cache.
Cache.File = file;
Cache.Nullability = Map[file];
return Cache.Nullability;
}
};
/// Sema - This implements semantic analysis and AST building for C.
class Sema {
Sema(const Sema &) = delete;
void operator=(const Sema &) = delete;
///\brief Source of additional semantic information.
ExternalSemaSource *ExternalSource;
///\brief Whether Sema has generated a multiplexer and has to delete it.
bool isMultiplexExternalSource;
static bool mightHaveNonExternalLinkage(const DeclaratorDecl *FD);
bool isVisibleSlow(const NamedDecl *D);
bool shouldLinkPossiblyHiddenDecl(const NamedDecl *Old,
const NamedDecl *New) {
// We are about to link these. It is now safe to compute the linkage of
// the new decl. If the new decl has external linkage, we will
// link it with the hidden decl (which also has external linkage) and
// it will keep having external linkage. If it has internal linkage, we
// will not link it. Since it has no previous decls, it will remain
// with internal linkage.
if (getLangOpts().ModulesHideInternalLinkage)
return isVisible(Old) || New->isExternallyVisible();
return true;
}
public:
typedef OpaquePtr<DeclGroupRef> DeclGroupPtrTy;
typedef OpaquePtr<TemplateName> TemplateTy;
typedef OpaquePtr<QualType> TypeTy;
OpenCLOptions OpenCLFeatures;
FPOptions FPFeatures;
const LangOptions &LangOpts;
Preprocessor &PP;
ASTContext &Context;
ASTConsumer &Consumer;
DiagnosticsEngine &Diags;
SourceManager &SourceMgr;
/// \brief Flag indicating whether or not to collect detailed statistics.
bool CollectStats;
/// \brief Code-completion consumer.
CodeCompleteConsumer *CodeCompleter;
/// CurContext - This is the current declaration context of parsing.
DeclContext *CurContext;
/// \brief Generally null except when we temporarily switch decl contexts,
/// like in \see ActOnObjCTemporaryExitContainerContext.
DeclContext *OriginalLexicalContext;
/// VAListTagName - The declaration name corresponding to __va_list_tag.
/// This is used as part of a hack to omit that class from ADL results.
DeclarationName VAListTagName;
/// PackContext - Manages the stack for \#pragma pack. An alignment
/// of 0 indicates default alignment.
void *PackContext; // Really a "PragmaPackStack*"
bool MSStructPragmaOn; // True when \#pragma ms_struct on
/// \brief Controls member pointer representation format under the MS ABI.
LangOptions::PragmaMSPointersToMembersKind
MSPointerToMemberRepresentationMethod;
enum PragmaVtorDispKind {
PVDK_Push, ///< #pragma vtordisp(push, mode)
PVDK_Set, ///< #pragma vtordisp(mode)
PVDK_Pop, ///< #pragma vtordisp(pop)
PVDK_Reset ///< #pragma vtordisp()
};
enum PragmaMsStackAction {
PSK_Reset, // #pragma ()
PSK_Set, // #pragma ("name")
PSK_Push, // #pragma (push[, id])
PSK_Push_Set, // #pragma (push[, id], "name")
PSK_Pop, // #pragma (pop[, id])
PSK_Pop_Set, // #pragma (pop[, id], "name")
};
/// \brief Whether to insert vtordisps prior to virtual bases in the Microsoft
/// C++ ABI. Possible values are 0, 1, and 2, which mean:
///
/// 0: Suppress all vtordisps
/// 1: Insert vtordisps in the presence of vbase overrides and non-trivial
/// structors
/// 2: Always insert vtordisps to support RTTI on partially constructed
/// objects
///
/// The stack always has at least one element in it.
SmallVector<MSVtorDispAttr::Mode, 2> VtorDispModeStack;
/// Stack of active SEH __finally scopes. Can be empty.
SmallVector<Scope*, 2> CurrentSEHFinally;
/// \brief Source location for newly created implicit MSInheritanceAttrs
SourceLocation ImplicitMSInheritanceAttrLoc;
template<typename ValueType>
struct PragmaStack {
struct Slot {
llvm::StringRef StackSlotLabel;
ValueType Value;
SourceLocation PragmaLocation;
Slot(llvm::StringRef StackSlotLabel,
ValueType Value,
SourceLocation PragmaLocation)
: StackSlotLabel(StackSlotLabel), Value(Value),
PragmaLocation(PragmaLocation) {}
};
void Act(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
ValueType Value);
explicit PragmaStack(const ValueType &Value)
: CurrentValue(Value) {}
SmallVector<Slot, 2> Stack;
ValueType CurrentValue;
SourceLocation CurrentPragmaLocation;
};
// FIXME: We should serialize / deserialize these if they occur in a PCH (but
// we shouldn't do so if they're in a module).
PragmaStack<StringLiteral *> DataSegStack;
PragmaStack<StringLiteral *> BSSSegStack;
PragmaStack<StringLiteral *> ConstSegStack;
PragmaStack<StringLiteral *> CodeSegStack;
/// A mapping that describes the nullability we've seen in each header file.
FileNullabilityMap NullabilityMap;
/// Last section used with #pragma init_seg.
StringLiteral *CurInitSeg;
SourceLocation CurInitSegLoc;
/// VisContext - Manages the stack for \#pragma GCC visibility.
void *VisContext; // Really a "PragmaVisStack*"
/// \brief This represents the last location of a "#pragma clang optimize off"
/// directive if such a directive has not been closed by an "on" yet. If
/// optimizations are currently "on", this is set to an invalid location.
SourceLocation OptimizeOffPragmaLocation;
/// \brief Flag indicating if Sema is building a recovery call expression.
///
/// This flag is used to avoid building recovery call expressions
/// if Sema is already doing so, which would cause infinite recursions.
bool IsBuildingRecoveryCallExpr;
/// ExprNeedsCleanups - True if the current evaluation context
/// requires cleanups to be run at its conclusion.
bool ExprNeedsCleanups;
/// ExprCleanupObjects - This is the stack of objects requiring
/// cleanup that are created by the current full expression. The
/// element type here is ExprWithCleanups::Object.
SmallVector<BlockDecl*, 8> ExprCleanupObjects;
/// \brief Store a list of either DeclRefExprs or MemberExprs
/// that contain a reference to a variable (constant) that may or may not
/// be odr-used in this Expr, and we won't know until all lvalue-to-rvalue
/// and discarded value conversions have been applied to all subexpressions
/// of the enclosing full expression. This is cleared at the end of each
/// full expression.
llvm::SmallPtrSet<Expr*, 2> MaybeODRUseExprs;
/// \brief Stack containing information about each of the nested
/// function, block, and method scopes that are currently active.
///
/// This array is never empty. Clients should ignore the first
/// element, which is used to cache a single FunctionScopeInfo
/// that's used to parse every top-level function.
SmallVector<sema::FunctionScopeInfo *, 4> FunctionScopes;
typedef LazyVector<TypedefNameDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadExtVectorDecls, 2, 2>
ExtVectorDeclsType;
/// ExtVectorDecls - This is a list all the extended vector types. This allows
/// us to associate a raw vector type with one of the ext_vector type names.
/// This is only necessary for issuing pretty diagnostics.
ExtVectorDeclsType ExtVectorDecls;
/// FieldCollector - Collects CXXFieldDecls during parsing of C++ classes.
std::unique_ptr<CXXFieldCollector> FieldCollector;
typedef llvm::SmallSetVector<const NamedDecl*, 16> NamedDeclSetType;
/// \brief Set containing all declared private fields that are not used.
NamedDeclSetType UnusedPrivateFields;
/// \brief Set containing all typedefs that are likely unused.
llvm::SmallSetVector<const TypedefNameDecl *, 4>
UnusedLocalTypedefNameCandidates;
/// \brief Delete-expressions to be analyzed at the end of translation unit
///
/// This list contains class members, and locations of delete-expressions
/// that could not be proven as to whether they mismatch with new-expression
/// used in initializer of the field.
typedef std::pair<SourceLocation, bool> DeleteExprLoc;
typedef llvm::SmallVector<DeleteExprLoc, 4> DeleteLocs;
llvm::MapVector<FieldDecl *, DeleteLocs> DeleteExprs;
typedef llvm::SmallPtrSet<const CXXRecordDecl*, 8> RecordDeclSetTy;
/// PureVirtualClassDiagSet - a set of class declarations which we have
/// emitted a list of pure virtual functions. Used to prevent emitting the
/// same list more than once.
std::unique_ptr<RecordDeclSetTy> PureVirtualClassDiagSet;
/// ParsingInitForAutoVars - a set of declarations with auto types for which
/// we are currently parsing the initializer.
llvm::SmallPtrSet<const Decl*, 4> ParsingInitForAutoVars;
/// \brief Look for a locally scoped extern "C" declaration by the given name.
NamedDecl *findLocallyScopedExternCDecl(DeclarationName Name);
typedef LazyVector<VarDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadTentativeDefinitions, 2, 2>
TentativeDefinitionsType;
/// \brief All the tentative definitions encountered in the TU.
TentativeDefinitionsType TentativeDefinitions;
typedef LazyVector<const DeclaratorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadUnusedFileScopedDecls, 2, 2>
UnusedFileScopedDeclsType;
/// \brief The set of file scoped decls seen so far that have not been used
/// and must warn if not used. Only contains the first declaration.
UnusedFileScopedDeclsType UnusedFileScopedDecls;
typedef LazyVector<CXXConstructorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadDelegatingConstructors, 2, 2>
DelegatingCtorDeclsType;
/// \brief All the delegating constructors seen so far in the file, used for
/// cycle detection at the end of the TU.
DelegatingCtorDeclsType DelegatingCtorDecls;
/// \brief All the overriding functions seen during a class definition
/// that had their exception spec checks delayed, plus the overridden
/// function.
SmallVector<std::pair<const CXXMethodDecl*, const CXXMethodDecl*>, 2>
DelayedExceptionSpecChecks;
/// \brief All the members seen during a class definition which were both
/// explicitly defaulted and had explicitly-specified exception
/// specifications, along with the function type containing their
/// user-specified exception specification. Those exception specifications
/// were overridden with the default specifications, but we still need to
/// check whether they are compatible with the default specification, and
/// we can't do that until the nesting set of class definitions is complete.
SmallVector<std::pair<CXXMethodDecl*, const FunctionProtoType*>, 2>
DelayedDefaultedMemberExceptionSpecs;
typedef llvm::MapVector<const FunctionDecl *, LateParsedTemplate *>
LateParsedTemplateMapT;
LateParsedTemplateMapT LateParsedTemplateMap;
/// \brief Callback to the parser to parse templated functions when needed.
typedef void LateTemplateParserCB(void *P, LateParsedTemplate &LPT);
typedef void LateTemplateParserCleanupCB(void *P);
LateTemplateParserCB *LateTemplateParser;
LateTemplateParserCleanupCB *LateTemplateParserCleanup;
void *OpaqueParser;
void SetLateTemplateParser(LateTemplateParserCB *LTP,
LateTemplateParserCleanupCB *LTPCleanup,
void *P) {
LateTemplateParser = LTP;
LateTemplateParserCleanup = LTPCleanup;
OpaqueParser = P;
}
class DelayedDiagnostics;
class DelayedDiagnosticsState {
sema::DelayedDiagnosticPool *SavedPool;
friend class Sema::DelayedDiagnostics;
};
typedef DelayedDiagnosticsState ParsingDeclState;
typedef DelayedDiagnosticsState ProcessingContextState;
/// A class which encapsulates the logic for delaying diagnostics
/// during parsing and other processing.
class DelayedDiagnostics {
/// \brief The current pool of diagnostics into which delayed
/// diagnostics should go.
sema::DelayedDiagnosticPool *CurPool;
public:
DelayedDiagnostics() : CurPool(nullptr) {}
/// Adds a delayed diagnostic.
void add(const sema::DelayedDiagnostic &diag); // in DelayedDiagnostic.h
/// Determines whether diagnostics should be delayed.
bool shouldDelayDiagnostics() { return CurPool != nullptr; }
/// Returns the current delayed-diagnostics pool.
sema::DelayedDiagnosticPool *getCurrentPool() const {
return CurPool;
}
/// Enter a new scope. Access and deprecation diagnostics will be
/// collected in this pool.
DelayedDiagnosticsState push(sema::DelayedDiagnosticPool &pool) {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = &pool;
return state;
}
/// Leave a delayed-diagnostic state that was previously pushed.
/// Do not emit any of the diagnostics. This is performed as part
/// of the bookkeeping of popping a pool "properly".
void popWithoutEmitting(DelayedDiagnosticsState state) {
CurPool = state.SavedPool;
}
/// Enter a new scope where access and deprecation diagnostics are
/// not delayed.
DelayedDiagnosticsState pushUndelayed() {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = nullptr;
return state;
}
/// Undo a previous pushUndelayed().
void popUndelayed(DelayedDiagnosticsState state) {
assert(CurPool == nullptr);
CurPool = state.SavedPool;
}
} DelayedDiagnostics;
/// A RAII object to temporarily push a declaration context.
class ContextRAII {
private:
Sema &S;
DeclContext *SavedContext;
ProcessingContextState SavedContextState;
QualType SavedCXXThisTypeOverride;
public:
ContextRAII(Sema &S, DeclContext *ContextToPush, bool NewThisContext = true)
: S(S), SavedContext(S.CurContext),
SavedContextState(S.DelayedDiagnostics.pushUndelayed()),
SavedCXXThisTypeOverride(S.CXXThisTypeOverride)
{
assert(ContextToPush && "pushing null context");
S.CurContext = ContextToPush;
if (NewThisContext)
S.CXXThisTypeOverride = QualType();
}
void pop() {
if (!SavedContext) return;
S.CurContext = SavedContext;
S.DelayedDiagnostics.popUndelayed(SavedContextState);
S.CXXThisTypeOverride = SavedCXXThisTypeOverride;
SavedContext = nullptr;
}
~ContextRAII() {
pop();
}
};
/// \brief RAII object to handle the state changes required to synthesize
/// a function body.
class SynthesizedFunctionScope {
Sema &S;
Sema::ContextRAII SavedContext;
public:
SynthesizedFunctionScope(Sema &S, DeclContext *DC)
: S(S), SavedContext(S, DC)
{
S.PushFunctionScope();
S.PushExpressionEvaluationContext(Sema::PotentiallyEvaluated);
}
~SynthesizedFunctionScope() {
S.PopExpressionEvaluationContext();
S.PopFunctionScopeInfo();
}
};
/// WeakUndeclaredIdentifiers - Identifiers contained in
/// \#pragma weak before declared. rare. may alias another
/// identifier, declared or undeclared
llvm::MapVector<IdentifierInfo *, WeakInfo> WeakUndeclaredIdentifiers;
/// ExtnameUndeclaredIdentifiers - Identifiers contained in
/// \#pragma redefine_extname before declared. Used in Solaris system headers
/// to define functions that occur in multiple standards to call the version
/// in the currently selected standard.
llvm::DenseMap<IdentifierInfo*,AsmLabelAttr*> ExtnameUndeclaredIdentifiers;
/// \brief Load weak undeclared identifiers from the external source.
void LoadExternalWeakUndeclaredIdentifiers();
/// WeakTopLevelDecl - Translation-unit scoped declarations generated by
/// \#pragma weak during processing of other Decls.
/// I couldn't figure out a clean way to generate these in-line, so
/// we store them here and handle separately -- which is a hack.
/// It would be best to refactor this.
SmallVector<Decl*,2> WeakTopLevelDecl;
IdentifierResolver IdResolver;
/// Translation Unit Scope - useful to Objective-C actions that need
/// to lookup file scope declarations in the "ordinary" C decl namespace.
/// For example, user-defined classes, built-in "id" type, etc.
Scope *TUScope;
/// \brief The C++ "std" namespace, where the standard library resides.
LazyDeclPtr StdNamespace;
/// \brief The C++ "std::bad_alloc" class, which is defined by the C++
/// standard library.
LazyDeclPtr StdBadAlloc;
/// \brief The C++ "std::initializer_list" template, which is defined in
/// \<initializer_list>.
ClassTemplateDecl *StdInitializerList;
/// \brief The C++ "type_info" declaration, which is defined in \<typeinfo>.
RecordDecl *CXXTypeInfoDecl;
/// \brief The MSVC "_GUID" struct, which is defined in MSVC header files.
RecordDecl *MSVCGuidDecl;
/// \brief Caches identifiers/selectors for NSFoundation APIs.
// std::unique_ptr<NSAPI> NSAPIObj; // HLSL Change
/// \brief The declaration of the Objective-C NSNumber class.
ObjCInterfaceDecl *NSNumberDecl;
/// \brief The declaration of the Objective-C NSValue class.
ObjCInterfaceDecl *NSValueDecl;
/// \brief Pointer to NSNumber type (NSNumber *).
QualType NSNumberPointer;
/// \brief Pointer to NSValue type (NSValue *).
QualType NSValuePointer;
/// \brief The Objective-C NSNumber methods used to create NSNumber literals.
ObjCMethodDecl *NSNumberLiteralMethods[NSAPI::NumNSNumberLiteralMethods];
/// \brief The declaration of the Objective-C NSString class.
ObjCInterfaceDecl *NSStringDecl;
/// \brief Pointer to NSString type (NSString *).
QualType NSStringPointer;
/// \brief The declaration of the stringWithUTF8String: method.
ObjCMethodDecl *StringWithUTF8StringMethod;
/// \brief The declaration of the valueWithBytes:objCType: method.
ObjCMethodDecl *ValueWithBytesObjCTypeMethod;
/// \brief The declaration of the Objective-C NSArray class.
ObjCInterfaceDecl *NSArrayDecl;
/// \brief The declaration of the arrayWithObjects:count: method.
ObjCMethodDecl *ArrayWithObjectsMethod;
/// \brief The declaration of the Objective-C NSDictionary class.
ObjCInterfaceDecl *NSDictionaryDecl;
/// \brief The declaration of the dictionaryWithObjects:forKeys:count: method.
ObjCMethodDecl *DictionaryWithObjectsMethod;
/// \brief id<NSCopying> type.
QualType QIDNSCopying;
/// \brief will hold 'respondsToSelector:'
Selector RespondsToSelectorSel;
/// \brief counter for internal MS Asm label names.
unsigned MSAsmLabelNameCounter;
/// A flag to remember whether the implicit forms of operator new and delete
/// have been declared.
bool GlobalNewDeleteDeclared;
/// A flag to indicate that we're in a context that permits abstract
/// references to fields. This is really a
bool AllowAbstractFieldReference;
/// \brief Describes how the expressions currently being parsed are
/// evaluated at run-time, if at all.
enum ExpressionEvaluationContext {
/// \brief The current expression and its subexpressions occur within an
/// unevaluated operand (C++11 [expr]p7), such as the subexpression of
/// \c sizeof, where the type of the expression may be significant but
/// no code will be generated to evaluate the value of the expression at
/// run time.
Unevaluated,
/// \brief The current expression occurs within an unevaluated
/// operand that unconditionally permits abstract references to
/// fields, such as a SIZE operator in MS-style inline assembly.
UnevaluatedAbstract,
/// \brief The current context is "potentially evaluated" in C++11 terms,
/// but the expression is evaluated at compile-time (like the values of
/// cases in a switch statement).
ConstantEvaluated,
/// \brief The current expression is potentially evaluated at run time,
/// which means that code may be generated to evaluate the value of the
/// expression at run time.
PotentiallyEvaluated,
/// \brief The current expression is potentially evaluated, but any
/// declarations referenced inside that expression are only used if
/// in fact the current expression is used.
///
/// This value is used when parsing default function arguments, for which
/// we would like to provide diagnostics (e.g., passing non-POD arguments
/// through varargs) but do not want to mark declarations as "referenced"
/// until the default argument is used.
PotentiallyEvaluatedIfUsed
};
/// \brief Data structure used to record current or nested
/// expression evaluation contexts.
struct ExpressionEvaluationContextRecord {
/// \brief The expression evaluation context.
ExpressionEvaluationContext Context;
/// \brief Whether the enclosing context needed a cleanup.
bool ParentNeedsCleanups;
/// \brief Whether we are in a decltype expression.
bool IsDecltype;
/// \brief The number of active cleanup objects when we entered
/// this expression evaluation context.
unsigned NumCleanupObjects;
/// \brief The number of typos encountered during this expression evaluation
/// context (i.e. the number of TypoExprs created).
unsigned NumTypos;
llvm::SmallPtrSet<Expr*, 2> SavedMaybeODRUseExprs;
/// \brief The lambdas that are present within this context, if it
/// is indeed an unevaluated context.
SmallVector<LambdaExpr *, 2> Lambdas;
/// \brief The declaration that provides context for lambda expressions
/// and block literals if the normal declaration context does not
/// suffice, e.g., in a default function argument.
Decl *ManglingContextDecl;
/// \brief The context information used to mangle lambda expressions
/// and block literals within this context.
///
/// This mangling information is allocated lazily, since most contexts
/// do not have lambda expressions or block literals.
IntrusiveRefCntPtr<MangleNumberingContext> MangleNumbering;
/// \brief If we are processing a decltype type, a set of call expressions
/// for which we have deferred checking the completeness of the return type.
SmallVector<CallExpr *, 8> DelayedDecltypeCalls;
/// \brief If we are processing a decltype type, a set of temporary binding
/// expressions for which we have deferred checking the destructor.
SmallVector<CXXBindTemporaryExpr *, 8> DelayedDecltypeBinds;
ExpressionEvaluationContextRecord(ExpressionEvaluationContext Context,
unsigned NumCleanupObjects,
bool ParentNeedsCleanups,
Decl *ManglingContextDecl,
bool IsDecltype)
: Context(Context), ParentNeedsCleanups(ParentNeedsCleanups),
IsDecltype(IsDecltype), NumCleanupObjects(NumCleanupObjects),
NumTypos(0),
ManglingContextDecl(ManglingContextDecl), MangleNumbering() { }
/// \brief Retrieve the mangling numbering context, used to consistently
/// number constructs like lambdas for mangling.
MangleNumberingContext &getMangleNumberingContext(ASTContext &Ctx);
bool isUnevaluated() const {
return Context == Unevaluated || Context == UnevaluatedAbstract;
}
};
/// A stack of expression evaluation contexts.
SmallVector<ExpressionEvaluationContextRecord, 8> ExprEvalContexts;
/// \brief Compute the mangling number context for a lambda expression or
/// block literal.
///
/// \param DC - The DeclContext containing the lambda expression or
/// block literal.
/// \param[out] ManglingContextDecl - Returns the ManglingContextDecl
/// associated with the context, if relevant.
MangleNumberingContext *getCurrentMangleNumberContext(
const DeclContext *DC,
Decl *&ManglingContextDecl);
/// SpecialMemberOverloadResult - The overloading result for a special member
/// function.
///
/// This is basically a wrapper around PointerIntPair. The lowest bits of the
/// integer are used to determine whether overload resolution succeeded.
class SpecialMemberOverloadResult : public llvm::FastFoldingSetNode {
public:
enum Kind {
NoMemberOrDeleted,
Ambiguous,
Success
};
private:
llvm::PointerIntPair<CXXMethodDecl*, 2> Pair;
public:
SpecialMemberOverloadResult(const llvm::FoldingSetNodeID &ID)
: FastFoldingSetNode(ID)
{}
CXXMethodDecl *getMethod() const { return Pair.getPointer(); }
void setMethod(CXXMethodDecl *MD) { Pair.setPointer(MD); }
Kind getKind() const { return static_cast<Kind>(Pair.getInt()); }
void setKind(Kind K) { Pair.setInt(K); }
};
/// \brief A cache of special member function overload resolution results
/// for C++ records.
llvm::FoldingSet<SpecialMemberOverloadResult> SpecialMemberCache;
/// \brief The kind of translation unit we are processing.
///
/// When we're processing a complete translation unit, Sema will perform
/// end-of-translation-unit semantic tasks (such as creating
/// initializers for tentative definitions in C) once parsing has
/// completed. Modules and precompiled headers perform different kinds of
/// checks.
TranslationUnitKind TUKind;
llvm::BumpPtrAllocator BumpAlloc;
/// \brief The number of SFINAE diagnostics that have been trapped.
unsigned NumSFINAEErrors;
typedef llvm::DenseMap<ParmVarDecl *, llvm::TinyPtrVector<ParmVarDecl *>>
UnparsedDefaultArgInstantiationsMap;
/// \brief A mapping from parameters with unparsed default arguments to the
/// set of instantiations of each parameter.
///
/// This mapping is a temporary data structure used when parsing
/// nested class templates or nested classes of class templates,
/// where we might end up instantiating an inner class before the
/// default arguments of its methods have been parsed.
UnparsedDefaultArgInstantiationsMap UnparsedDefaultArgInstantiations;
// Contains the locations of the beginning of unparsed default
// argument locations.
llvm::DenseMap<ParmVarDecl *, SourceLocation> UnparsedDefaultArgLocs;
/// UndefinedInternals - all the used, undefined objects which require a
/// definition in this translation unit.
llvm::DenseMap<NamedDecl *, SourceLocation> UndefinedButUsed;
/// Obtain a sorted list of functions that are undefined but ODR-used.
void getUndefinedButUsed(
SmallVectorImpl<std::pair<NamedDecl *, SourceLocation> > &Undefined);
/// Retrieves list of suspicious delete-expressions that will be checked at
/// the end of translation unit.
const llvm::MapVector<FieldDecl *, DeleteLocs> &
getMismatchingDeleteExpressions() const;
typedef std::pair<ObjCMethodList, ObjCMethodList> GlobalMethods;
typedef llvm::DenseMap<Selector, GlobalMethods> GlobalMethodPool;
/// Method Pool - allows efficient lookup when typechecking messages to "id".
/// We need to maintain a list, since selectors can have differing signatures
/// across classes. In Cocoa, this happens to be extremely uncommon (only 1%
/// of selectors are "overloaded").
/// At the head of the list it is recorded whether there were 0, 1, or >= 2
/// methods inside categories with a particular selector.
GlobalMethodPool MethodPool;
/// Method selectors used in a \@selector expression. Used for implementation
/// of -Wselector.
llvm::MapVector<Selector, SourceLocation> ReferencedSelectors;
/// Kinds of C++ special members.
enum CXXSpecialMember {
CXXDefaultConstructor,
CXXCopyConstructor,
CXXMoveConstructor,
CXXCopyAssignment,
CXXMoveAssignment,
CXXDestructor,
CXXInvalid
};
typedef std::pair<CXXRecordDecl*, CXXSpecialMember> SpecialMemberDecl;
/// The C++ special members which we are currently in the process of
/// declaring. If this process recursively triggers the declaration of the
/// same special member, we should act as if it is not yet declared.
llvm::SmallSet<SpecialMemberDecl, 4> SpecialMembersBeingDeclared;
void ReadMethodPool(Selector Sel);
/// Private Helper predicate to check for 'self'.
bool isSelfExpr(Expr *RExpr);
bool isSelfExpr(Expr *RExpr, const ObjCMethodDecl *Method);
/// \brief Cause the active diagnostic on the DiagosticsEngine to be
/// emitted. This is closely coupled to the SemaDiagnosticBuilder class and
/// should not be used elsewhere.
void EmitCurrentDiagnostic(unsigned DiagID);
/// Records and restores the FP_CONTRACT state on entry/exit of compound
/// statements.
class FPContractStateRAII {
public:
FPContractStateRAII(Sema& S)
: S(S), OldFPContractState(S.FPFeatures.fp_contract) {}
~FPContractStateRAII() {
S.FPFeatures.fp_contract = OldFPContractState;
}
private:
Sema& S;
bool OldFPContractState : 1;
};
void addImplicitTypedef(StringRef Name, QualType T);
public:
Sema(Preprocessor &pp, ASTContext &ctxt, ASTConsumer &consumer,
TranslationUnitKind TUKind = TU_Complete,
CodeCompleteConsumer *CompletionConsumer = nullptr);
~Sema();
/// \brief Perform initialization that occurs after the parser has been
/// initialized but before it parses anything.
void Initialize();
const LangOptions &getLangOpts() const { return LangOpts; }
OpenCLOptions &getOpenCLOptions() { return OpenCLFeatures; }
FPOptions &getFPOptions() { return FPFeatures; }
DiagnosticsEngine &getDiagnostics() const { return Diags; }
SourceManager &getSourceManager() const { return SourceMgr; }
Preprocessor &getPreprocessor() const { return PP; }
ASTContext &getASTContext() const { return Context; }
ASTConsumer &getASTConsumer() const { return Consumer; }
ASTMutationListener *getASTMutationListener() const;
ExternalSemaSource* getExternalSource() const { return ExternalSource; }
///\brief Registers an external source. If an external source already exists,
/// creates a multiplex external source and appends to it.
///
///\param[in] E - A non-null external sema source.
///
void addExternalSource(ExternalSemaSource *E);
void PrintStats() const;
/// \brief Helper class that creates diagnostics with optional
/// template instantiation stacks.
///
/// This class provides a wrapper around the basic DiagnosticBuilder
/// class that emits diagnostics. SemaDiagnosticBuilder is
/// responsible for emitting the diagnostic (as DiagnosticBuilder
/// does) and, if the diagnostic comes from inside a template
/// instantiation, printing the template instantiation stack as
/// well.
class SemaDiagnosticBuilder : public DiagnosticBuilder {
Sema &SemaRef;
unsigned DiagID;
public:
SemaDiagnosticBuilder(DiagnosticBuilder &DB, Sema &SemaRef, unsigned DiagID)
: DiagnosticBuilder(DB), SemaRef(SemaRef), DiagID(DiagID) { }
~SemaDiagnosticBuilder() {
// If we aren't active, there is nothing to do.
if (!isActive()) return;
// Otherwise, we need to emit the diagnostic. First flush the underlying
// DiagnosticBuilder data, and clear the diagnostic builder itself so it
// won't emit the diagnostic in its own destructor.
//
// This seems wasteful, in that as written the DiagnosticBuilder dtor will
// do its own needless checks to see if the diagnostic needs to be
// emitted. However, because we take care to ensure that the builder
// objects never escape, a sufficiently smart compiler will be able to
// eliminate that code.
FlushCounts();
Clear();
// Dispatch to Sema to emit the diagnostic.
SemaRef.EmitCurrentDiagnostic(DiagID);
}
/// Teach operator<< to produce an object of the correct type.
template<typename T>
friend const SemaDiagnosticBuilder &operator<<(
const SemaDiagnosticBuilder &Diag, const T &Value) {
const DiagnosticBuilder &BaseDiag = Diag;
BaseDiag << Value;
return Diag;
}
};
/// \brief Emit a diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, unsigned DiagID) {
DiagnosticBuilder DB = Diags.Report(Loc, DiagID);
return SemaDiagnosticBuilder(DB, *this, DiagID);
}
/// \brief Emit a partial diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, const PartialDiagnostic& PD);
/// \brief Build a partial diagnostic.
PartialDiagnostic PDiag(unsigned DiagID = 0); // in SemaInternal.h
bool findMacroSpelling(SourceLocation &loc, StringRef name);
/// \brief Get a string to suggest for zero-initialization of a type.
std::string
getFixItZeroInitializerForType(QualType T, SourceLocation Loc) const;
std::string getFixItZeroLiteralForType(QualType T, SourceLocation Loc) const;
/// \brief Calls \c Lexer::getLocForEndOfToken()
SourceLocation getLocForEndOfToken(SourceLocation Loc, unsigned Offset = 0);
/// \brief Retrieve the module loader associated with the preprocessor.
ModuleLoader &getModuleLoader() const;
void emitAndClearUnusedLocalTypedefWarnings();
void ActOnEndOfTranslationUnit();
void CheckDelegatingCtorCycles();
Scope *getScopeForContext(DeclContext *Ctx);
void PushFunctionScope();
void PushBlockScope(Scope *BlockScope, BlockDecl *Block);
sema::LambdaScopeInfo *PushLambdaScope();
/// \brief This is used to inform Sema what the current TemplateParameterDepth
/// is during Parsing. Currently it is used to pass on the depth
/// when parsing generic lambda 'auto' parameters.
void RecordParsingTemplateParameterDepth(unsigned Depth);
void PushCapturedRegionScope(Scope *RegionScope, CapturedDecl *CD,
RecordDecl *RD,
CapturedRegionKind K);
void
PopFunctionScopeInfo(const sema::AnalysisBasedWarnings::Policy *WP = nullptr,
const Decl *D = nullptr,
const BlockExpr *blkExpr = nullptr);
sema::FunctionScopeInfo *getCurFunction() const {
return FunctionScopes.back();
}
sema::FunctionScopeInfo *getEnclosingFunction() const {
if (FunctionScopes.empty())
return nullptr;
for (int e = FunctionScopes.size()-1; e >= 0; --e) {
if (isa<sema::BlockScopeInfo>(FunctionScopes[e]))
continue;
return FunctionScopes[e];
}
return nullptr;
}
template <typename ExprT>
void recordUseOfEvaluatedWeak(const ExprT *E, bool IsRead=true) {
if (!isUnevaluatedContext())
getCurFunction()->recordUseOfWeak(E, IsRead);
}
void PushCompoundScope();
void PopCompoundScope();
sema::CompoundScopeInfo &getCurCompoundScope() const;
bool hasAnyUnrecoverableErrorsInThisFunction() const;
/// \brief Retrieve the current block, if any.
sema::BlockScopeInfo *getCurBlock();
/// \brief Retrieve the current lambda scope info, if any.
sema::LambdaScopeInfo *getCurLambda();
/// \brief Retrieve the current generic lambda info, if any.
sema::LambdaScopeInfo *getCurGenericLambda();
/// \brief Retrieve the current captured region, if any.
sema::CapturedRegionScopeInfo *getCurCapturedRegion();
/// WeakTopLevelDeclDecls - access to \#pragma weak-generated Decls
SmallVectorImpl<Decl *> &WeakTopLevelDecls() { return WeakTopLevelDecl; }
void ActOnComment(SourceRange Comment);
//===--------------------------------------------------------------------===//
// Type Analysis / Processing: SemaType.cpp.
//
QualType BuildQualifiedType(QualType T, SourceLocation Loc, Qualifiers Qs,
const DeclSpec *DS = nullptr);
QualType BuildQualifiedType(QualType T, SourceLocation Loc, unsigned CVRA,
const DeclSpec *DS = nullptr);
QualType BuildPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildReferenceType(QualType T, bool LValueRef,
SourceLocation Loc, DeclarationName Entity);
QualType BuildArrayType(QualType T, ArrayType::ArraySizeModifier ASM,
Expr *ArraySize, unsigned Quals,
SourceRange Brackets, DeclarationName Entity);
QualType BuildExtVectorType(QualType T, Expr *ArraySize,
SourceLocation AttrLoc);
bool CheckFunctionReturnType(QualType T, SourceLocation Loc);
unsigned deduceWeakPropertyFromType(QualType T) {
if ((getLangOpts().getGC() != LangOptions::NonGC &&
T.isObjCGCWeak()) ||
(getLangOpts().ObjCAutoRefCount &&
T.getObjCLifetime() == Qualifiers::OCL_Weak))
return ObjCDeclSpec::DQ_PR_weak;
return 0;
}
/// \brief Build a function type.
///
/// This routine checks the function type according to C++ rules and
/// under the assumption that the result type and parameter types have
/// just been instantiated from a template. It therefore duplicates
/// some of the behavior of GetTypeForDeclarator, but in a much
/// simpler form that is only suitable for this narrow use case.
///
/// \param T The return type of the function.
///
/// \param ParamTypes The parameter types of the function. This array
/// will be modified to account for adjustments to the types of the
/// function parameters.
///
/// \param Loc The location of the entity whose type involves this
/// function type or, if there is no such entity, the location of the
/// type that will have function type.
///
/// \param Entity The name of the entity that involves the function
/// type, if known.
///
/// \param EPI Extra information about the function type. Usually this will
/// be taken from an existing function with the same prototype.
///
/// \returns A suitable function type, if there are no errors. The
/// unqualified type will always be a FunctionProtoType.
/// Otherwise, returns a NULL type.
QualType BuildFunctionType(QualType T,
MutableArrayRef<QualType> ParamTypes,
SourceLocation Loc, DeclarationName Entity,
const FunctionProtoType::ExtProtoInfo &EPI);
QualType BuildMemberPointerType(QualType T, QualType Class,
SourceLocation Loc,
DeclarationName Entity);
QualType BuildBlockPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildParenType(QualType T);
QualType BuildAtomicType(QualType T, SourceLocation Loc);
TypeSourceInfo *GetTypeForDeclarator(Declarator &D, Scope *S);
TypeSourceInfo *GetTypeForDeclaratorCast(Declarator &D, QualType FromTy);
TypeSourceInfo *GetTypeSourceInfoForDeclarator(Declarator &D, QualType T,
TypeSourceInfo *ReturnTypeInfo);
/// \brief Package the given type and TSI into a ParsedType.
ParsedType CreateParsedType(QualType T, TypeSourceInfo *TInfo);
DeclarationNameInfo GetNameForDeclarator(Declarator &D);
DeclarationNameInfo GetNameFromUnqualifiedId(const UnqualifiedId &Name);
static QualType GetTypeFromParser(ParsedType Ty,
TypeSourceInfo **TInfo = nullptr);
CanThrowResult canThrow(const Expr *E);
const FunctionProtoType *ResolveExceptionSpec(SourceLocation Loc,
const FunctionProtoType *FPT);
void UpdateExceptionSpec(FunctionDecl *FD,
const FunctionProtoType::ExceptionSpecInfo &ESI);
bool CheckSpecifiedExceptionType(QualType &T, const SourceRange &Range);
bool CheckDistantExceptionSpec(QualType T);
bool CheckEquivalentExceptionSpec(FunctionDecl *Old, FunctionDecl *New);
bool CheckEquivalentExceptionSpec(
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool CheckEquivalentExceptionSpec(
const PartialDiagnostic &DiagID, const PartialDiagnostic & NoteID,
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc,
bool *MissingExceptionSpecification = nullptr,
bool *MissingEmptyExceptionSpecification = nullptr,
bool AllowNoexceptAllMatchWithNoSpec = false,
bool IsOperatorNew = false);
bool CheckExceptionSpecSubset(
const PartialDiagnostic &DiagID, const PartialDiagnostic & NoteID,
const FunctionProtoType *Superset, SourceLocation SuperLoc,
const FunctionProtoType *Subset, SourceLocation SubLoc);
bool CheckParamExceptionSpec(const PartialDiagnostic & NoteID,
const FunctionProtoType *Target, SourceLocation TargetLoc,
const FunctionProtoType *Source, SourceLocation SourceLoc);
TypeResult ActOnTypeName(Scope *S, Declarator &D);
/// \brief The parser has parsed the context-sensitive type 'instancetype'
/// in an Objective-C message declaration. Return the appropriate type.
ParsedType ActOnObjCInstanceType(SourceLocation Loc);
/// \brief Abstract class used to diagnose incomplete types.
struct TypeDiagnoser {
bool Suppressed;
TypeDiagnoser(bool Suppressed = false) : Suppressed(Suppressed) { }
virtual void diagnose(Sema &S, SourceLocation Loc, QualType T) = 0;
virtual ~TypeDiagnoser() {}
};
static int getPrintable(int I) { return I; }
static unsigned getPrintable(unsigned I) { return I; }
static bool getPrintable(bool B) { return B; }
static const char * getPrintable(const char *S) { return S; }
static StringRef getPrintable(StringRef S) { return S; }
static const std::string &getPrintable(const std::string &S) { return S; }
static const IdentifierInfo *getPrintable(const IdentifierInfo *II) {
return II;
}
static DeclarationName getPrintable(DeclarationName N) { return N; }
static QualType getPrintable(QualType T) { return T; }
static SourceRange getPrintable(SourceRange R) { return R; }
static SourceRange getPrintable(SourceLocation L) { return L; }
static SourceRange getPrintable(const Expr *E) { return E->getSourceRange(); }
static SourceRange getPrintable(TypeLoc TL) { return TL.getSourceRange();}
template <typename... Ts> class BoundTypeDiagnoser : public TypeDiagnoser {
unsigned DiagID;
std::tuple<const Ts &...> Args;
template <std::size_t... Is>
void emit(const SemaDiagnosticBuilder &DB,
llvm::index_sequence<Is...>) const {
// Apply all tuple elements to the builder in order.
bool Dummy[] = {(DB << getPrintable(std::get<Is>(Args)))...};
(void)Dummy;
}
public:
BoundTypeDiagnoser(unsigned DiagID, const Ts &...Args)
: TypeDiagnoser(DiagID == 0), DiagID(DiagID), Args(Args...) {}
void diagnose(Sema &S, SourceLocation Loc, QualType T) override {
if (Suppressed)
return;
const SemaDiagnosticBuilder &DB = S.Diag(Loc, DiagID);
emit(DB, llvm::index_sequence_for<Ts...>());
DB << T;
}
};
private:
bool RequireCompleteTypeImpl(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
VisibleModuleSet VisibleModules;
llvm::SmallVector<VisibleModuleSet, 16> VisibleModulesStack;
Module *CachedFakeTopLevelModule;
public:
/// \brief Get the module owning an entity.
Module *getOwningModule(Decl *Entity);
/// \brief Make a merged definition of an existing hidden definition \p ND
/// visible at the specified location.
void makeMergedDefinitionVisible(NamedDecl *ND, SourceLocation Loc);
bool isModuleVisible(Module *M) { return VisibleModules.isVisible(M); }
/// Determine whether a declaration is visible to name lookup.
bool isVisible(const NamedDecl *D) {
return !D->isHidden() || isVisibleSlow(D);
}
bool hasVisibleMergedDefinition(NamedDecl *Def);
/// Determine if \p D has a visible definition. If not, suggest a declaration
/// that should be made visible to expose the definition.
bool hasVisibleDefinition(NamedDecl *D, NamedDecl **Suggested,
bool OnlyNeedComplete = false);
bool hasVisibleDefinition(const NamedDecl *D) {
NamedDecl *Hidden;
return hasVisibleDefinition(const_cast<NamedDecl*>(D), &Hidden);
}
/// Determine if the template parameter \p D has a visible default argument.
bool
hasVisibleDefaultArgument(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr);
bool RequireCompleteType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireCompleteType(SourceLocation Loc, QualType T,
unsigned DiagID);
template <typename... Ts>
bool RequireCompleteType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteType(Loc, T, Diagnoser);
}
bool RequireCompleteExprType(Expr *E, TypeDiagnoser &Diagnoser);
bool RequireCompleteExprType(Expr *E, unsigned DiagID);
template <typename... Ts>
bool RequireCompleteExprType(Expr *E, unsigned DiagID, const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteExprType(E, Diagnoser);
}
bool RequireLiteralType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID);
template <typename... Ts>
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireLiteralType(Loc, T, Diagnoser);
}
QualType getElaboratedType(ElaboratedTypeKeyword Keyword,
const CXXScopeSpec &SS, QualType T);
QualType BuildTypeofExprType(Expr *E, SourceLocation Loc);
/// If AsUnevaluated is false, E is treated as though it were an evaluated
/// context, such as when building a type for decltype(auto).
QualType BuildDecltypeType(Expr *E, SourceLocation Loc,
bool AsUnevaluated = true);
QualType BuildUnaryTransformType(QualType BaseType,
UnaryTransformType::UTTKind UKind,
SourceLocation Loc);
//===--------------------------------------------------------------------===//
// Symbol table / Decl tracking callbacks: SemaDecl.cpp.
//
/// List of decls defined in a function prototype. This contains EnumConstants
/// that incorrectly end up in translation unit scope because there is no
/// function to pin them on. ActOnFunctionDeclarator reads this list and patches
/// them into the FunctionDecl.
std::vector<NamedDecl*> DeclsInPrototypeScope;
DeclGroupPtrTy ConvertDeclToDeclGroup(Decl *Ptr, Decl *OwnedType = nullptr);
void DiagnoseUseOfUnimplementedSelectors();
bool isSimpleTypeSpecifier(tok::TokenKind Kind) const;
ParsedType getTypeName(const IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec *SS = nullptr,
bool isClassName = false,
bool HasTrailingDot = false,
ParsedType ObjectType = ParsedType(),
bool IsCtorOrDtorName = false,
bool WantNontrivialTypeSourceInfo = false,
IdentifierInfo **CorrectedII = nullptr);
TypeSpecifierType isTagName(IdentifierInfo &II, Scope *S);
bool isMicrosoftMissingTypename(const CXXScopeSpec *SS, Scope *S);
void DiagnoseUnknownTypeName(IdentifierInfo *&II,
SourceLocation IILoc,
Scope *S,
CXXScopeSpec *SS,
ParsedType &SuggestedType,
bool AllowClassTemplates = false);
/// \brief For compatibility with MSVC, we delay parsing of some default
/// template type arguments until instantiation time. Emits a warning and
/// returns a synthesized DependentNameType that isn't really dependent on any
/// other template arguments.
ParsedType ActOnDelayedDefaultTemplateArg(const IdentifierInfo &II,
SourceLocation NameLoc);
/// \brief Describes the result of the name lookup and resolution performed
/// by \c ClassifyName().
enum NameClassificationKind {
NC_Unknown,
NC_Error,
NC_Keyword,
NC_Type,
NC_Expression,
NC_NestedNameSpecifier,
NC_TypeTemplate,
NC_VarTemplate,
NC_FunctionTemplate
};
class NameClassification {
NameClassificationKind Kind;
ExprResult Expr;
TemplateName Template;
ParsedType Type;
const IdentifierInfo *Keyword;
explicit NameClassification(NameClassificationKind Kind) : Kind(Kind) {}
public:
NameClassification(ExprResult Expr) : Kind(NC_Expression), Expr(Expr) {}
NameClassification(ParsedType Type) : Kind(NC_Type), Type(Type) {}
NameClassification(const IdentifierInfo *Keyword)
: Kind(NC_Keyword), Keyword(Keyword) { }
static NameClassification Error() {
return NameClassification(NC_Error);
}
static NameClassification Unknown() {
return NameClassification(NC_Unknown);
}
static NameClassification NestedNameSpecifier() {
return NameClassification(NC_NestedNameSpecifier);
}
static NameClassification TypeTemplate(TemplateName Name) {
NameClassification Result(NC_TypeTemplate);
Result.Template = Name;
return Result;
}
static NameClassification VarTemplate(TemplateName Name) {
NameClassification Result(NC_VarTemplate);
Result.Template = Name;
return Result;
}
static NameClassification FunctionTemplate(TemplateName Name) {
NameClassification Result(NC_FunctionTemplate);
Result.Template = Name;
return Result;
}
NameClassificationKind getKind() const { return Kind; }
ParsedType getType() const {
assert(Kind == NC_Type);
return Type;
}
ExprResult getExpression() const {
assert(Kind == NC_Expression);
return Expr;
}
TemplateName getTemplateName() const {
assert(Kind == NC_TypeTemplate || Kind == NC_FunctionTemplate ||
Kind == NC_VarTemplate);
return Template;
}
TemplateNameKind getTemplateNameKind() const {
switch (Kind) {
case NC_TypeTemplate:
return TNK_Type_template;
case NC_FunctionTemplate:
return TNK_Function_template;
case NC_VarTemplate:
return TNK_Var_template;
default:
llvm_unreachable("unsupported name classification.");
}
}
};
/// \brief Perform name lookup on the given name, classifying it based on
/// the results of name lookup and the following token.
///
/// This routine is used by the parser to resolve identifiers and help direct
/// parsing. When the identifier cannot be found, this routine will attempt
/// to correct the typo and classify based on the resulting name.
///
/// \param S The scope in which we're performing name lookup.
///
/// \param SS The nested-name-specifier that precedes the name.
///
/// \param Name The identifier. If typo correction finds an alternative name,
/// this pointer parameter will be updated accordingly.
///
/// \param NameLoc The location of the identifier.
///
/// \param NextToken The token following the identifier. Used to help
/// disambiguate the name.
///
/// \param IsAddressOfOperand True if this name is the operand of a unary
/// address of ('&') expression, assuming it is classified as an
/// expression.
///
/// \param CCC The correction callback, if typo correction is desired.
NameClassification
ClassifyName(Scope *S, CXXScopeSpec &SS, IdentifierInfo *&Name,
SourceLocation NameLoc, const Token &NextToken,
bool IsAddressOfOperand,
std::unique_ptr<CorrectionCandidateCallback> CCC = nullptr);
Decl *ActOnDeclarator(Scope *S, Declarator &D);
NamedDecl *HandleDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParameterLists);
void RegisterLocallyScopedExternCDecl(NamedDecl *ND, Scope *S);
bool DiagnoseClassNameShadow(DeclContext *DC, DeclarationNameInfo Info);
bool diagnoseQualifiedDeclaration(CXXScopeSpec &SS, DeclContext *DC,
DeclarationName Name,
SourceLocation Loc);
void
diagnoseIgnoredQualifiers(unsigned DiagID, unsigned Quals,
SourceLocation FallbackLoc,
SourceLocation ConstQualLoc = SourceLocation(),
SourceLocation VolatileQualLoc = SourceLocation(),
SourceLocation RestrictQualLoc = SourceLocation(),
SourceLocation AtomicQualLoc = SourceLocation());
static bool adjustContextForLocalExternDecl(DeclContext *&DC);
void DiagnoseFunctionSpecifiers(const DeclSpec &DS);
void CheckShadow(Scope *S, VarDecl *D, const LookupResult& R);
void CheckShadow(Scope *S, VarDecl *D);
void CheckCastAlign(Expr *Op, QualType T, SourceRange TRange);
void handleTagNumbering(const TagDecl *Tag, Scope *TagScope);
void setTagNameForLinkagePurposes(TagDecl *TagFromDeclSpec,
TypedefNameDecl *NewTD);
void CheckTypedefForVariablyModifiedType(Scope *S, TypedefNameDecl *D);
NamedDecl* ActOnTypedefDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous);
NamedDecl* ActOnTypedefNameDecl(Scope* S, DeclContext* DC, TypedefNameDecl *D,
LookupResult &Previous, bool &Redeclaration);
// HLSL Change Starts
// This enumeration is used to determine whether a variable declaration
// should shadow a prior declaration rather than merging.
enum ShadowMergeState {
ShadowMergeState_Disallowed, // shadowing is not allowed
ShadowMergeState_Possible, // shadowing is possible (but may not occur)
ShadowMergeState_Effective // the declaration should shadow a prior one
};
// HLSL Change Ends
NamedDecl *ActOnVariableDeclarator(Scope *S, Declarator &D, DeclContext *DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope,
ShadowMergeState MergeState = ShadowMergeState_Disallowed); // HLSL Change - add merge state
// Returns true if the variable declaration is a redeclaration
bool CheckVariableDeclaration(VarDecl *NewVD, LookupResult &Previous, ShadowMergeState MergeState = ShadowMergeState_Disallowed); // HLSL Change - add merge state
void CheckVariableDeclarationType(VarDecl *NewVD);
void CheckCompleteVariableDeclaration(VarDecl *var);
void MaybeSuggestAddingStaticToDecl(const FunctionDecl *D);
NamedDecl* ActOnFunctionDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope);
bool AddOverriddenMethods(CXXRecordDecl *DC, CXXMethodDecl *MD);
bool CheckConstexprFunctionDecl(const FunctionDecl *FD);
bool CheckConstexprFunctionBody(const FunctionDecl *FD, Stmt *Body);
void DiagnoseHiddenVirtualMethods(CXXMethodDecl *MD);
void FindHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
void NoteHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
// Returns true if the function declaration is a redeclaration
bool CheckFunctionDeclaration(Scope *S,
FunctionDecl *NewFD, LookupResult &Previous,
bool IsExplicitSpecialization);
void CheckMain(FunctionDecl *FD, const DeclSpec &D);
void CheckMSVCRTEntryPoint(FunctionDecl *FD);
Decl *ActOnParamDeclarator(Scope *S, Declarator &D);
ParmVarDecl *BuildParmVarDeclForTypedef(DeclContext *DC,
SourceLocation Loc,
QualType T);
ParmVarDecl *CheckParameter(DeclContext *DC, SourceLocation StartLoc,
SourceLocation NameLoc, IdentifierInfo *Name,
QualType T, TypeSourceInfo *TSInfo,
StorageClass SCm, hlsl::ParameterModifier ParamMod); // HLSL Change
void ActOnParamDefaultArgument(Decl *param,
SourceLocation EqualLoc,
Expr *defarg);
void ActOnParamUnparsedDefaultArgument(Decl *param,
SourceLocation EqualLoc,
SourceLocation ArgLoc);
void ActOnParamDefaultArgumentError(Decl *param, SourceLocation EqualLoc);
bool SetParamDefaultArgument(ParmVarDecl *Param, Expr *DefaultArg,
SourceLocation EqualLoc);
void AddInitializerToDecl(Decl *dcl, Expr *init, bool DirectInit,
bool TypeMayContainAuto);
void ActOnUninitializedDecl(Decl *dcl, bool TypeMayContainAuto);
void ActOnInitializerError(Decl *Dcl);
void ActOnPureSpecifier(Decl *D, SourceLocation PureSpecLoc);
void ActOnCXXForRangeDecl(Decl *D);
StmtResult ActOnCXXForRangeIdentifier(Scope *S, SourceLocation IdentLoc,
IdentifierInfo *Ident,
ParsedAttributes &Attrs,
SourceLocation AttrEnd);
void SetDeclDeleted(Decl *dcl, SourceLocation DelLoc);
void SetDeclDefaulted(Decl *dcl, SourceLocation DefaultLoc);
void FinalizeDeclaration(Decl *D);
DeclGroupPtrTy FinalizeDeclaratorGroup(Scope *S, const DeclSpec &DS,
ArrayRef<Decl *> Group);
DeclGroupPtrTy BuildDeclaratorGroup(MutableArrayRef<Decl *> Group,
bool TypeMayContainAuto = true);
/// Should be called on all declarations that might have attached
/// documentation comments.
void ActOnDocumentableDecl(Decl *D);
void ActOnDocumentableDecls(ArrayRef<Decl *> Group);
void ActOnFinishKNRParamDeclarations(Scope *S, Declarator &D,
SourceLocation LocAfterDecls);
void CheckForFunctionRedefinition(FunctionDecl *FD,
const FunctionDecl *EffectiveDefinition =
nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Declarator &D);
Decl *ActOnStartOfFunctionDef(Scope *S, Decl *D);
void ActOnStartOfObjCMethodDef(Scope *S, Decl *D);
bool isObjCMethodDecl(Decl *D) {
return D && isa<ObjCMethodDecl>(D);
}
/// \brief Determine whether we can delay parsing the body of a function or
/// function template until it is used, assuming we don't care about emitting
/// code for that function.
///
/// This will be \c false if we may need the body of the function in the
/// middle of parsing an expression (where it's impractical to switch to
/// parsing a different function), for instance, if it's constexpr in C++11
/// or has an 'auto' return type in C++14. These cases are essentially bugs.
bool canDelayFunctionBody(const Declarator &D);
/// \brief Determine whether we can skip parsing the body of a function
/// definition, assuming we don't care about analyzing its body or emitting
/// code for that function.
///
/// This will be \c false only if we may need the body of the function in
/// order to parse the rest of the program (for instance, if it is
/// \c constexpr in C++11 or has an 'auto' return type in C++14).
bool canSkipFunctionBody(Decl *D);
void computeNRVO(Stmt *Body, sema::FunctionScopeInfo *Scope);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body, bool IsInstantiation);
Decl *ActOnSkippedFunctionBody(Decl *Decl);
void ActOnFinishInlineMethodDef(CXXMethodDecl *D);
/// ActOnFinishDelayedAttribute - Invoked when we have finished parsing an
/// attribute for which parsing is delayed.
void ActOnFinishDelayedAttribute(Scope *S, Decl *D, ParsedAttributes &Attrs);
/// \brief Diagnose any unused parameters in the given sequence of
/// ParmVarDecl pointers.
void DiagnoseUnusedParameters(ParmVarDecl * const *Begin,
ParmVarDecl * const *End);
/// \brief Diagnose whether the size of parameters or return value of a
/// function or obj-c method definition is pass-by-value and larger than a
/// specified threshold.
void DiagnoseSizeOfParametersAndReturnValue(ParmVarDecl * const *Begin,
ParmVarDecl * const *End,
QualType ReturnTy,
NamedDecl *D);
void DiagnoseInvalidJumps(Stmt *Body);
Decl *ActOnFileScopeAsmDecl(Expr *expr,
SourceLocation AsmLoc,
SourceLocation RParenLoc);
/// \brief Handle a C++11 empty-declaration and attribute-declaration.
Decl *ActOnEmptyDeclaration(Scope *S,
AttributeList *AttrList,
SourceLocation SemiLoc);
/// \brief The parser has processed a module import declaration.
///
/// \param AtLoc The location of the '@' symbol, if any.
///
/// \param ImportLoc The location of the 'import' keyword.
///
/// \param Path The module access path.
DeclResult ActOnModuleImport(SourceLocation AtLoc, SourceLocation ImportLoc,
ModuleIdPath Path);
/// \brief The parser has processed a module import translated from a
/// #include or similar preprocessing directive.
void ActOnModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
/// \brief The parsed has entered a submodule.
void ActOnModuleBegin(SourceLocation DirectiveLoc, Module *Mod);
/// \brief The parser has left a submodule.
void ActOnModuleEnd(SourceLocation DirectiveLoc, Module *Mod);
/// \brief Create an implicit import of the given module at the given
/// source location, for error recovery, if possible.
///
/// This routine is typically used when an entity found by name lookup
/// is actually hidden within a module that we know about but the user
/// has forgotten to import.
void createImplicitModuleImportForErrorRecovery(SourceLocation Loc,
Module *Mod);
/// Kinds of missing import. Note, the values of these enumerators correspond
/// to %select values in diagnostics.
enum class MissingImportKind {
Declaration,
Definition,
DefaultArgument
};
/// \brief Diagnose that the specified declaration needs to be visible but
/// isn't, and suggest a module import that would resolve the problem.
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
bool NeedDefinition, bool Recover = true);
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
SourceLocation DeclLoc, ArrayRef<Module *> Modules,
MissingImportKind MIK, bool Recover);
/// \brief Retrieve a suitable printing policy.
PrintingPolicy getPrintingPolicy() const {
return getPrintingPolicy(Context, PP);
}
/// \brief Retrieve a suitable printing policy.
static PrintingPolicy getPrintingPolicy(const ASTContext &Ctx,
const Preprocessor &PP);
/// Scope actions.
void ActOnPopScope(SourceLocation Loc, Scope *S);
void ActOnTranslationUnitScope(Scope *S);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS,
DeclSpec &DS);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS,
DeclSpec &DS,
MultiTemplateParamsArg TemplateParams,
bool IsExplicitInstantiation = false);
Decl *BuildAnonymousStructOrUnion(Scope *S, DeclSpec &DS,
AccessSpecifier AS,
RecordDecl *Record,
const PrintingPolicy &Policy);
Decl *BuildMicrosoftCAnonymousStruct(Scope *S, DeclSpec &DS,
RecordDecl *Record);
bool isAcceptableTagRedeclaration(const TagDecl *Previous,
TagTypeKind NewTag, bool isDefinition,
SourceLocation NewTagLoc,
const IdentifierInfo *Name);
enum TagUseKind {
TUK_Reference, // Reference to a tag: 'struct foo *X;'
TUK_Declaration, // Fwd decl of a tag: 'struct foo;'
TUK_Definition, // Definition of a tag: 'struct foo { int X; } Y;'
TUK_Friend // Friend declaration: 'friend struct foo;'
};
struct SkipBodyInfo {
SkipBodyInfo() : ShouldSkip(false), Previous(nullptr) {}
bool ShouldSkip;
NamedDecl *Previous;
};
Decl *ActOnTag(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc, CXXScopeSpec &SS,
IdentifierInfo *Name, SourceLocation NameLoc,
AttributeList *Attr, AccessSpecifier AS,
SourceLocation ModulePrivateLoc,
MultiTemplateParamsArg TemplateParameterLists,
bool &OwnedDecl, bool &IsDependent,
SourceLocation ScopedEnumKWLoc,
bool ScopedEnumUsesClassTag, TypeResult UnderlyingType,
bool IsTypeSpecifier, SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnTemplatedFriendTag(Scope *S, SourceLocation FriendLoc,
unsigned TagSpec, SourceLocation TagLoc,
CXXScopeSpec &SS,
IdentifierInfo *Name, SourceLocation NameLoc,
AttributeList *Attr,
MultiTemplateParamsArg TempParamLists);
TypeResult ActOnDependentTag(Scope *S,
unsigned TagSpec,
TagUseKind TUK,
const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation TagLoc,
SourceLocation NameLoc);
void ActOnDefs(Scope *S, Decl *TagD, SourceLocation DeclStart,
IdentifierInfo *ClassName,
SmallVectorImpl<Decl *> &Decls);
Decl *ActOnField(Scope *S, Decl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth);
FieldDecl *HandleField(Scope *S, RecordDecl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS);
MSPropertyDecl *HandleMSProperty(Scope *S, RecordDecl *TagD,
SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS,
AttributeList *MSPropertyAttr);
FieldDecl *CheckFieldDecl(DeclarationName Name, QualType T,
TypeSourceInfo *TInfo,
RecordDecl *Record, SourceLocation Loc,
bool Mutable, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
SourceLocation TSSL,
AccessSpecifier AS, NamedDecl *PrevDecl,
Declarator *D = nullptr);
bool CheckNontrivialField(FieldDecl *FD);
void DiagnoseNontrivial(const CXXRecordDecl *Record, CXXSpecialMember CSM);
bool SpecialMemberIsTrivial(CXXMethodDecl *MD, CXXSpecialMember CSM,
bool Diagnose = false);
CXXSpecialMember getSpecialMember(const CXXMethodDecl *MD);
void ActOnLastBitfield(SourceLocation DeclStart,
SmallVectorImpl<Decl *> &AllIvarDecls);
Decl *ActOnIvar(Scope *S, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
tok::ObjCKeywordKind visibility);
// This is used for both record definitions and ObjC interface declarations.
void ActOnFields(Scope* S, SourceLocation RecLoc, Decl *TagDecl,
ArrayRef<Decl *> Fields,
SourceLocation LBrac, SourceLocation RBrac,
AttributeList *AttrList);
/// ActOnTagStartDefinition - Invoked when we have entered the
/// scope of a tag's definition (e.g., for an enumeration, class,
/// struct, or union).
void ActOnTagStartDefinition(Scope *S, Decl *TagDecl);
typedef void *SkippedDefinitionContext;
/// \brief Invoked when we enter a tag definition that we're skipping.
SkippedDefinitionContext ActOnTagStartSkippedDefinition(Scope *S, Decl *TD);
Decl *ActOnObjCContainerStartDefinition(Decl *IDecl);
/// ActOnStartCXXMemberDeclarations - Invoked when we have parsed a
/// C++ record definition's base-specifiers clause and are starting its
/// member declarations.
void ActOnStartCXXMemberDeclarations(Scope *S, Decl *TagDecl,
SourceLocation FinalLoc,
bool IsFinalSpelledSealed,
SourceLocation LBraceLoc);
/// ActOnTagFinishDefinition - Invoked once we have finished parsing
/// the definition of a tag (enumeration, class, struct, or union).
void ActOnTagFinishDefinition(Scope *S, Decl *TagDecl,
SourceLocation RBraceLoc);
void ActOnTagFinishSkippedDefinition(SkippedDefinitionContext Context);
void ActOnObjCContainerFinishDefinition();
/// \brief Invoked when we must temporarily exit the objective-c container
/// scope for parsing/looking-up C constructs.
///
/// Must be followed by a call to \see ActOnObjCReenterContainerContext
void ActOnObjCTemporaryExitContainerContext(DeclContext *DC);
void ActOnObjCReenterContainerContext(DeclContext *DC);
/// ActOnTagDefinitionError - Invoked when there was an unrecoverable
/// error parsing the definition of a tag.
void ActOnTagDefinitionError(Scope *S, Decl *TagDecl);
EnumConstantDecl *CheckEnumConstant(EnumDecl *Enum,
EnumConstantDecl *LastEnumConst,
SourceLocation IdLoc,
IdentifierInfo *Id,
Expr *val);
bool CheckEnumUnderlyingType(TypeSourceInfo *TI);
bool CheckEnumRedeclaration(SourceLocation EnumLoc, bool IsScoped,
QualType EnumUnderlyingTy, const EnumDecl *Prev);
/// Determine whether the body of an anonymous enumeration should be skipped.
/// \param II The name of the first enumerator.
SkipBodyInfo shouldSkipAnonEnumBody(Scope *S, IdentifierInfo *II,
SourceLocation IILoc);
Decl *ActOnEnumConstant(Scope *S, Decl *EnumDecl, Decl *LastEnumConstant,
SourceLocation IdLoc, IdentifierInfo *Id,
AttributeList *Attrs,
SourceLocation EqualLoc, Expr *Val);
void ActOnEnumBody(SourceLocation EnumLoc, SourceLocation LBraceLoc,
SourceLocation RBraceLoc, Decl *EnumDecl,
ArrayRef<Decl *> Elements,
Scope *S, AttributeList *Attr);
DeclContext *getContainingDC(DeclContext *DC);
/// Set the current declaration context until it gets popped.
void PushDeclContext(Scope *S, DeclContext *DC);
void PopDeclContext();
/// EnterDeclaratorContext - Used when we must lookup names in the context
/// of a declarator's nested name specifier.
void EnterDeclaratorContext(Scope *S, DeclContext *DC);
void ExitDeclaratorContext(Scope *S);
/// Push the parameters of D, which must be a function, into scope.
void ActOnReenterFunctionContext(Scope* S, Decl* D);
void ActOnExitFunctionContext();
DeclContext *getFunctionLevelDeclContext();
/// getCurFunctionDecl - If inside of a function body, this returns a pointer
/// to the function decl for the function being parsed. If we're currently
/// in a 'block', this returns the containing context.
FunctionDecl *getCurFunctionDecl();
/// getCurMethodDecl - If inside of a method body, this returns a pointer to
/// the method decl for the method being parsed. If we're currently
/// in a 'block', this returns the containing context.
ObjCMethodDecl *getCurMethodDecl();
/// getCurFunctionOrMethodDecl - Return the Decl for the current ObjC method
/// or C function we're in, otherwise return null. If we're currently
/// in a 'block', this returns the containing context.
NamedDecl *getCurFunctionOrMethodDecl();
/// Add this decl to the scope shadowed decl chains.
void PushOnScopeChains(NamedDecl *D, Scope *S, bool AddToContext = true);
/// \brief Make the given externally-produced declaration visible at the
/// top level scope.
///
/// \param D The externally-produced declaration to push.
///
/// \param Name The name of the externally-produced declaration.
void pushExternalDeclIntoScope(NamedDecl *D, DeclarationName Name);
/// isDeclInScope - If 'Ctx' is a function/method, isDeclInScope returns true
/// if 'D' is in Scope 'S', otherwise 'S' is ignored and isDeclInScope returns
/// true if 'D' belongs to the given declaration context.
///
/// \param AllowInlineNamespace If \c true, allow the declaration to be in the
/// enclosing namespace set of the context, rather than contained
/// directly within it.
bool isDeclInScope(NamedDecl *D, DeclContext *Ctx, Scope *S = nullptr,
bool AllowInlineNamespace = false);
/// Finds the scope corresponding to the given decl context, if it
/// happens to be an enclosing scope. Otherwise return NULL.
static Scope *getScopeForDeclContext(Scope *S, DeclContext *DC);
/// Subroutines of ActOnDeclarator().
TypedefDecl *ParseTypedefDecl(Scope *S, Declarator &D, QualType T,
TypeSourceInfo *TInfo);
bool isIncompatibleTypedef(TypeDecl *Old, TypedefNameDecl *New);
/// Attribute merging methods. Return true if a new attribute was added.
AvailabilityAttr *mergeAvailabilityAttr(NamedDecl *D, SourceRange Range,
IdentifierInfo *Platform,
VersionTuple Introduced,
VersionTuple Deprecated,
VersionTuple Obsoleted,
bool IsUnavailable,
StringRef Message,
bool Override,
unsigned AttrSpellingListIndex);
TypeVisibilityAttr *mergeTypeVisibilityAttr(Decl *D, SourceRange Range,
TypeVisibilityAttr::VisibilityType Vis,
unsigned AttrSpellingListIndex);
VisibilityAttr *mergeVisibilityAttr(Decl *D, SourceRange Range,
VisibilityAttr::VisibilityType Vis,
unsigned AttrSpellingListIndex);
DLLImportAttr *mergeDLLImportAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
DLLExportAttr *mergeDLLExportAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
MSInheritanceAttr *
mergeMSInheritanceAttr(Decl *D, SourceRange Range, bool BestCase,
unsigned AttrSpellingListIndex,
MSInheritanceAttr::Spelling SemanticSpelling);
FormatAttr *mergeFormatAttr(Decl *D, SourceRange Range,
IdentifierInfo *Format, int FormatIdx,
int FirstArg, unsigned AttrSpellingListIndex);
SectionAttr *mergeSectionAttr(Decl *D, SourceRange Range, StringRef Name,
unsigned AttrSpellingListIndex);
AlwaysInlineAttr *mergeAlwaysInlineAttr(Decl *D, SourceRange Range,
IdentifierInfo *Ident,
unsigned AttrSpellingListIndex);
MinSizeAttr *mergeMinSizeAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
OptimizeNoneAttr *mergeOptimizeNoneAttr(Decl *D, SourceRange Range,
unsigned AttrSpellingListIndex);
/// \brief Describes the kind of merge to perform for availability
/// attributes (including "deprecated", "unavailable", and "availability").
enum AvailabilityMergeKind {
/// \brief Don't merge availability attributes at all.
AMK_None,
/// \brief Merge availability attributes for a redeclaration, which requires
/// an exact match.
AMK_Redeclaration,
/// \brief Merge availability attributes for an override, which requires
/// an exact match or a weakening of constraints.
AMK_Override
};
void mergeDeclAttributes(NamedDecl *New, Decl *Old,
AvailabilityMergeKind AMK = AMK_Redeclaration);
void MergeTypedefNameDecl(TypedefNameDecl *New, LookupResult &OldDecls);
bool MergeFunctionDecl(FunctionDecl *New, NamedDecl *&Old, Scope *S,
bool MergeTypeWithOld);
bool MergeCompatibleFunctionDecls(FunctionDecl *New, FunctionDecl *Old,
Scope *S, bool MergeTypeWithOld);
void mergeObjCMethodDecls(ObjCMethodDecl *New, ObjCMethodDecl *Old);
void MergeVarDecl(VarDecl *New, LookupResult &Previous, ShadowMergeState& MergeState); // HLSL Change - add merge state
void MergeVarDeclTypes(VarDecl *New, VarDecl *Old, bool MergeTypeWithOld, ShadowMergeState& MergeState); // HLSL Change - add merge state
void MergeVarDeclExceptionSpecs(VarDecl *New, VarDecl *Old);
bool MergeCXXFunctionDecl(FunctionDecl *New, FunctionDecl *Old, Scope *S);
// AssignmentAction - This is used by all the assignment diagnostic functions
// to represent what is actually causing the operation
enum AssignmentAction {
AA_Assigning,
AA_Passing,
AA_Returning,
AA_Converting,
AA_Initializing,
AA_Sending,
AA_Casting,
AA_Passing_CFAudited
};
/// C++ Overloading.
enum OverloadKind {
/// This is a legitimate overload: the existing declarations are
/// functions or function templates with different signatures.
Ovl_Overload,
/// This is not an overload because the signature exactly matches
/// an existing declaration.
Ovl_Match,
/// This is not an overload because the lookup results contain a
/// non-function.
Ovl_NonFunction
};
OverloadKind CheckOverload(Scope *S,
FunctionDecl *New,
const LookupResult &OldDecls,
NamedDecl *&OldDecl,
bool IsForUsingDecl);
bool IsOverload(FunctionDecl *New, FunctionDecl *Old, bool IsForUsingDecl);
/// \brief Checks availability of the function depending on the current
/// function context.Inside an unavailable function,unavailability is ignored.
///
/// \returns true if \p FD is unavailable and current context is inside
/// an available function, false otherwise.
bool isFunctionConsideredUnavailable(FunctionDecl *FD);
ImplicitConversionSequence
TryImplicitConversion(Expr *From, QualType ToType,
bool SuppressUserConversions,
bool AllowExplicit,
bool InOverloadResolution,
bool CStyle,
bool AllowObjCWritebackConversion);
bool IsIntegralPromotion(Expr *From, QualType FromType, QualType ToType);
bool IsFloatingPointPromotion(QualType FromType, QualType ToType);
bool IsComplexPromotion(QualType FromType, QualType ToType);
bool IsPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCWritebackConversion(QualType FromType, QualType ToType,
QualType &ConvertedType);
bool IsBlockPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType);
bool FunctionParamTypesAreEqual(const FunctionProtoType *OldType,
const FunctionProtoType *NewType,
unsigned *ArgPos = nullptr);
void HandleFunctionTypeMismatch(PartialDiagnostic &PDiag,
QualType FromType, QualType ToType);
void maybeExtendBlockObject(ExprResult &E);
CastKind PrepareCastToObjCObjectPointer(ExprResult &E);
bool CheckPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath& BasePath,
bool IgnoreBaseAccess);
bool IsMemberPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType &ConvertedType);
bool CheckMemberPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath &BasePath,
bool IgnoreBaseAccess);
bool IsQualificationConversion(QualType FromType, QualType ToType,
bool CStyle, bool &ObjCLifetimeConversion);
bool IsNoReturnConversion(QualType FromType, QualType ToType,
QualType &ResultTy);
bool DiagnoseMultipleUserDefinedConversion(Expr *From, QualType ToType);
bool isSameOrCompatibleFunctionType(CanQualType Param, CanQualType Arg);
ExprResult PerformMoveOrCopyInitialization(const InitializedEntity &Entity,
const VarDecl *NRVOCandidate,
QualType ResultType,
Expr *Value,
bool AllowNRVO = true);
bool CanPerformCopyInitialization(const InitializedEntity &Entity,
ExprResult Init);
ExprResult PerformCopyInitialization(const InitializedEntity &Entity,
SourceLocation EqualLoc,
ExprResult Init,
bool TopLevelOfInitList = false,
bool AllowExplicit = false);
ExprResult PerformObjectArgumentInitialization(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
CXXMethodDecl *Method);
ExprResult PerformContextuallyConvertToBool(Expr *From);
ExprResult PerformContextuallyConvertToObjCPointer(Expr *From);
/// Contexts in which a converted constant expression is required.
enum CCEKind {
CCEK_CaseValue, ///< Expression in a case label.
CCEK_Enumerator, ///< Enumerator value with fixed underlying type.
CCEK_TemplateArg, ///< Value of a non-type template parameter.
CCEK_NewExpr ///< Constant expression in a noptr-new-declarator.
};
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
llvm::APSInt &Value, CCEKind CCE);
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
APValue &Value, CCEKind CCE);
/// \brief Abstract base class used to perform a contextual implicit
/// conversion from an expression to any type passing a filter.
class ContextualImplicitConverter {
public:
bool Suppress;
bool SuppressConversion;
ContextualImplicitConverter(bool Suppress = false,
bool SuppressConversion = false)
: Suppress(Suppress), SuppressConversion(SuppressConversion) {}
/// \brief Determine whether the specified type is a valid destination type
/// for this conversion.
virtual bool match(QualType T) = 0;
/// \brief Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) = 0;
/// \brief Emits a diagnostic when the expression has incomplete class type.
virtual SemaDiagnosticBuilder
diagnoseIncomplete(Sema &S, SourceLocation Loc, QualType T) = 0;
/// \brief Emits a diagnostic when the only matching conversion function
/// is explicit.
virtual SemaDiagnosticBuilder diagnoseExplicitConv(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
/// \brief Emits a note for the explicit conversion function.
virtual SemaDiagnosticBuilder
noteExplicitConv(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// \brief Emits a diagnostic when there are multiple possible conversion
/// functions.
virtual SemaDiagnosticBuilder
diagnoseAmbiguous(Sema &S, SourceLocation Loc, QualType T) = 0;
/// \brief Emits a note for one of the candidate conversions.
virtual SemaDiagnosticBuilder
noteAmbiguous(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// \brief Emits a diagnostic when we picked a conversion function
/// (for cases when we are not allowed to pick a conversion function).
virtual SemaDiagnosticBuilder diagnoseConversion(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
virtual ~ContextualImplicitConverter() {}
};
class ICEConvertDiagnoser : public ContextualImplicitConverter {
bool AllowScopedEnumerations;
public:
ICEConvertDiagnoser(bool AllowScopedEnumerations,
bool Suppress, bool SuppressConversion)
: ContextualImplicitConverter(Suppress, SuppressConversion),
AllowScopedEnumerations(AllowScopedEnumerations) {}
/// Match an integral or (possibly scoped) enumeration type.
bool match(QualType T) override;
SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) override {
return diagnoseNotInt(S, Loc, T);
}
/// \brief Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNotInt(Sema &S, SourceLocation Loc, QualType T) = 0;
};
/// Perform a contextual implicit conversion.
ExprResult PerformContextualImplicitConversion(
SourceLocation Loc, Expr *FromE, ContextualImplicitConverter &Converter);
enum ObjCSubscriptKind {
OS_Array,
OS_Dictionary,
OS_Error
};
ObjCSubscriptKind CheckSubscriptingKind(Expr *FromE);
// Note that LK_String is intentionally after the other literals, as
// this is used for diagnostics logic.
enum ObjCLiteralKind {
LK_Array,
LK_Dictionary,
LK_Numeric,
LK_Boxed,
LK_String,
LK_Block,
LK_None
};
ObjCLiteralKind CheckLiteralKind(Expr *FromE);
ExprResult PerformObjectMemberConversion(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
NamedDecl *Member);
// Members have to be NamespaceDecl* or TranslationUnitDecl*.
// TODO: make this is a typesafe union.
typedef llvm::SmallPtrSet<DeclContext *, 16> AssociatedNamespaceSet;
typedef llvm::SmallPtrSet<CXXRecordDecl *, 16> AssociatedClassSet;
void AddOverloadCandidate(FunctionDecl *Function,
DeclAccessPair FoundDecl,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool AllowExplicit = false);
void AddFunctionCandidates(const UnresolvedSetImpl &Functions,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
bool SuppressUserConversions = false,
bool PartialOverloading = false);
void AddMethodCandidate(DeclAccessPair FoundDecl,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversion = false);
void AddMethodCandidate(CXXMethodDecl *Method,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false);
void AddMethodTemplateCandidate(FunctionTemplateDecl *MethodTmpl,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false);
void AddTemplateOverloadCandidate(FunctionTemplateDecl *FunctionTemplate,
DeclAccessPair FoundDecl,
TemplateArgumentListInfo *ExplicitTemplateArgs,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false);
void AddConversionCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
Expr *From, QualType ToType,
OverloadCandidateSet& CandidateSet,
bool AllowObjCConversionOnExplicit);
void AddTemplateConversionCandidate(FunctionTemplateDecl *FunctionTemplate,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet,
bool AllowObjCConversionOnExplicit);
void AddSurrogateCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
const FunctionProtoType *Proto,
Expr *Object, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddMemberOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
SourceRange OpRange = SourceRange());
void AddBuiltinCandidate(QualType ResultTy, QualType *ParamTys,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool IsAssignmentOperator = false,
unsigned NumContextualBoolArguments = 0);
void AddBuiltinOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddArgumentDependentLookupCandidates(DeclarationName Name,
SourceLocation Loc,
ArrayRef<Expr *> Args,
TemplateArgumentListInfo *ExplicitTemplateArgs,
OverloadCandidateSet& CandidateSet,
bool PartialOverloading = false);
// Emit as a 'note' the specific overload candidate
void NoteOverloadCandidate(FunctionDecl *Fn, QualType DestType = QualType());
// Emit as a series of 'note's all template and non-templates
// identified by the expression Expr
void NoteAllOverloadCandidates(Expr* E, QualType DestType = QualType());
/// Check the enable_if expressions on the given function. Returns the first
/// failing attribute, or NULL if they were all successful.
EnableIfAttr *CheckEnableIf(FunctionDecl *Function, ArrayRef<Expr *> Args,
bool MissingImplicitThis = false);
// [PossiblyAFunctionType] --> [Return]
// NonFunctionType --> NonFunctionType
// R (A) --> R(A)
// R (*)(A) --> R (A)
// R (&)(A) --> R (A)
// R (S::*)(A) --> R (A)
QualType ExtractUnqualifiedFunctionType(QualType PossiblyAFunctionType);
FunctionDecl *
ResolveAddressOfOverloadedFunction(Expr *AddressOfExpr,
QualType TargetType,
bool Complain,
DeclAccessPair &Found,
bool *pHadMultipleCandidates = nullptr);
FunctionDecl *
ResolveSingleFunctionTemplateSpecialization(OverloadExpr *ovl,
bool Complain = false,
DeclAccessPair *Found = nullptr);
bool ResolveAndFixSingleFunctionTemplateSpecialization(
ExprResult &SrcExpr,
bool DoFunctionPointerConverion = false,
bool Complain = false,
const SourceRange& OpRangeForComplaining = SourceRange(),
QualType DestTypeForComplaining = QualType(),
unsigned DiagIDForComplaining = 0);
Expr *FixOverloadedFunctionReference(Expr *E,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
ExprResult FixOverloadedFunctionReference(ExprResult,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
void AddOverloadedCallCandidates(UnresolvedLookupExpr *ULE,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool PartialOverloading = false);
// An enum used to represent the different possible results of building a
// range-based for loop.
enum ForRangeStatus {
FRS_Success,
FRS_NoViableFunction,
FRS_DiagnosticIssued
};
// An enum to represent whether something is dealing with a call to begin()
// or a call to end() in a range-based for loop.
enum BeginEndFunction {
BEF_begin,
BEF_end
};
ForRangeStatus BuildForRangeBeginEndCall(Scope *S, SourceLocation Loc,
SourceLocation RangeLoc,
VarDecl *Decl,
BeginEndFunction BEF,
const DeclarationNameInfo &NameInfo,
LookupResult &MemberLookup,
OverloadCandidateSet *CandidateSet,
Expr *Range, ExprResult *CallExpr);
ExprResult BuildOverloadedCallExpr(Scope *S, Expr *Fn,
UnresolvedLookupExpr *ULE,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc,
Expr *ExecConfig,
bool AllowTypoCorrection=true);
bool buildOverloadedCallSet(Scope *S, Expr *Fn, UnresolvedLookupExpr *ULE,
MultiExprArg Args, SourceLocation RParenLoc,
OverloadCandidateSet *CandidateSet,
ExprResult *Result);
ExprResult CreateOverloadedUnaryOp(SourceLocation OpLoc,
unsigned Opc,
const UnresolvedSetImpl &Fns,
Expr *input);
ExprResult CreateOverloadedBinOp(SourceLocation OpLoc,
unsigned Opc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS);
ExprResult CreateOverloadedArraySubscriptExpr(SourceLocation LLoc,
SourceLocation RLoc,
Expr *Base,Expr *Idx);
ExprResult
BuildCallToMemberFunction(Scope *S, Expr *MemExpr,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult
BuildCallToObjectOfClassType(Scope *S, Expr *Object, SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult BuildOverloadedArrowExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
bool *NoArrowOperatorFound = nullptr);
/// CheckCallReturnType - Checks that a call expression's return type is
/// complete. Returns true on failure. The location passed in is the location
/// that best represents the call.
bool CheckCallReturnType(QualType ReturnType, SourceLocation Loc,
CallExpr *CE, FunctionDecl *FD);
/// Helpers for dealing with blocks and functions.
bool CheckParmsForFunctionDef(ParmVarDecl *const *Param,
ParmVarDecl *const *ParamEnd,
bool CheckParameterNames);
void CheckCXXDefaultArguments(FunctionDecl *FD);
void CheckExtraCXXDefaultArguments(Declarator &D);
Scope *getNonFieldDeclScope(Scope *S);
/// \name Name lookup
///
/// These routines provide name lookup that is used during semantic
/// analysis to resolve the various kinds of names (identifiers,
/// overloaded operator names, constructor names, etc.) into zero or
/// more declarations within a particular scope. The major entry
/// points are LookupName, which performs unqualified name lookup,
/// and LookupQualifiedName, which performs qualified name lookup.
///
/// All name lookup is performed based on some specific criteria,
/// which specify what names will be visible to name lookup and how
/// far name lookup should work. These criteria are important both
/// for capturing language semantics (certain lookups will ignore
/// certain names, for example) and for performance, since name
/// lookup is often a bottleneck in the compilation of C++. Name
/// lookup criteria is specified via the LookupCriteria enumeration.
///
/// The results of name lookup can vary based on the kind of name
/// lookup performed, the current language, and the translation
/// unit. In C, for example, name lookup will either return nothing
/// (no entity found) or a single declaration. In C++, name lookup
/// can additionally refer to a set of overloaded functions or
/// result in an ambiguity. All of the possible results of name
/// lookup are captured by the LookupResult class, which provides
/// the ability to distinguish among them.
//@{
/// @brief Describes the kind of name lookup to perform.
enum LookupNameKind {
/// Ordinary name lookup, which finds ordinary names (functions,
/// variables, typedefs, etc.) in C and most kinds of names
/// (functions, variables, members, types, etc.) in C++.
LookupOrdinaryName = 0,
/// Tag name lookup, which finds the names of enums, classes,
/// structs, and unions.
LookupTagName,
/// Label name lookup.
LookupLabel,
/// Member name lookup, which finds the names of
/// class/struct/union members.
LookupMemberName,
/// Look up of an operator name (e.g., operator+) for use with
/// operator overloading. This lookup is similar to ordinary name
/// lookup, but will ignore any declarations that are class members.
LookupOperatorName,
/// Look up of a name that precedes the '::' scope resolution
/// operator in C++. This lookup completely ignores operator, object,
/// function, and enumerator names (C++ [basic.lookup.qual]p1).
LookupNestedNameSpecifierName,
/// Look up a namespace name within a C++ using directive or
/// namespace alias definition, ignoring non-namespace names (C++
/// [basic.lookup.udir]p1).
LookupNamespaceName,
/// Look up all declarations in a scope with the given name,
/// including resolved using declarations. This is appropriate
/// for checking redeclarations for a using declaration.
LookupUsingDeclName,
/// Look up an ordinary name that is going to be redeclared as a
/// name with linkage. This lookup ignores any declarations that
/// are outside of the current scope unless they have linkage. See
/// C99 6.2.2p4-5 and C++ [basic.link]p6.
LookupRedeclarationWithLinkage,
/// Look up a friend of a local class. This lookup does not look
/// outside the innermost non-class scope. See C++11 [class.friend]p11.
LookupLocalFriendName,
/// Look up the name of an Objective-C protocol.
LookupObjCProtocolName,
/// Look up implicit 'self' parameter of an objective-c method.
LookupObjCImplicitSelfParam,
/// \brief Look up any declaration with any name.
LookupAnyName
};
/// \brief Specifies whether (or how) name lookup is being performed for a
/// redeclaration (vs. a reference).
enum RedeclarationKind {
/// \brief The lookup is a reference to this name that is not for the
/// purpose of redeclaring the name.
NotForRedeclaration = 0,
/// \brief The lookup results will be used for redeclaration of a name,
/// if an entity by that name already exists.
ForRedeclaration
};
/// \brief The possible outcomes of name lookup for a literal operator.
enum LiteralOperatorLookupResult {
/// \brief The lookup resulted in an error.
LOLR_Error,
/// \brief The lookup found a single 'cooked' literal operator, which
/// expects a normal literal to be built and passed to it.
LOLR_Cooked,
/// \brief The lookup found a single 'raw' literal operator, which expects
/// a string literal containing the spelling of the literal token.
LOLR_Raw,
/// \brief The lookup found an overload set of literal operator templates,
/// which expect the characters of the spelling of the literal token to be
/// passed as a non-type template argument pack.
LOLR_Template,
/// \brief The lookup found an overload set of literal operator templates,
/// which expect the character type and characters of the spelling of the
/// string literal token to be passed as template arguments.
LOLR_StringTemplate
};
SpecialMemberOverloadResult *LookupSpecialMember(CXXRecordDecl *D,
CXXSpecialMember SM,
bool ConstArg,
bool VolatileArg,
bool RValueThis,
bool ConstThis,
bool VolatileThis);
typedef std::function<void(const TypoCorrection &)> TypoDiagnosticGenerator;
typedef std::function<ExprResult(Sema &, TypoExpr *, TypoCorrection)>
TypoRecoveryCallback;
private:
bool CppLookupName(LookupResult &R, Scope *S);
struct TypoExprState {
std::unique_ptr<TypoCorrectionConsumer> Consumer;
TypoDiagnosticGenerator DiagHandler;
TypoRecoveryCallback RecoveryHandler;
TypoExprState();
TypoExprState(TypoExprState&& other) LLVM_NOEXCEPT;
TypoExprState& operator=(TypoExprState&& other) LLVM_NOEXCEPT;
};
/// \brief The set of unhandled TypoExprs and their associated state.
llvm::MapVector<TypoExpr *, TypoExprState> DelayedTypos;
/// \brief Creates a new TypoExpr AST node.
TypoExpr *createDelayedTypo(std::unique_ptr<TypoCorrectionConsumer> TCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC);
// \brief The set of known/encountered (unique, canonicalized) NamespaceDecls.
//
// The boolean value will be true to indicate that the namespace was loaded
// from an AST/PCH file, or false otherwise.
llvm::MapVector<NamespaceDecl*, bool> KnownNamespaces;
/// \brief Whether we have already loaded known namespaces from an extenal
/// source.
bool LoadedExternalKnownNamespaces;
/// \brief Helper for CorrectTypo and CorrectTypoDelayed used to create and
/// populate a new TypoCorrectionConsumer. Returns nullptr if typo correction
/// should be skipped entirely.
std::unique_ptr<TypoCorrectionConsumer>
makeTypoCorrectionConsumer(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
DeclContext *MemberContext, bool EnteringContext,
const ObjCObjectPointerType *OPT,
bool ErrorRecovery);
public:
const TypoExprState &getTypoExprState(TypoExpr *TE) const;
/// \brief Clears the state of the given TypoExpr.
void clearDelayedTypo(TypoExpr *TE);
/// \brief Look up a name, looking for a single declaration. Return
/// null if the results were absent, ambiguous, or overloaded.
///
/// It is preferable to use the elaborated form and explicitly handle
/// ambiguity and overloaded.
NamedDecl *LookupSingleName(Scope *S, DeclarationName Name,
SourceLocation Loc,
LookupNameKind NameKind,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupName(LookupResult &R, Scope *S,
bool AllowBuiltinCreation = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
bool InUnqualifiedLookup = false);
bool LookupQualifiedName(LookupResult &R, DeclContext *LookupCtx,
CXXScopeSpec &SS);
bool LookupParsedName(LookupResult &R, Scope *S, CXXScopeSpec *SS,
bool AllowBuiltinCreation = false,
bool EnteringContext = false);
ObjCProtocolDecl *LookupProtocol(IdentifierInfo *II, SourceLocation IdLoc,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupInSuper(LookupResult &R, CXXRecordDecl *Class);
void LookupOverloadedOperatorName(OverloadedOperatorKind Op, Scope *S,
QualType T1, QualType T2,
UnresolvedSetImpl &Functions);
void addOverloadedOperatorToUnresolvedSet(UnresolvedSetImpl &Functions,
DeclAccessPair Operator,
QualType T1, QualType T2);
LabelDecl *LookupOrCreateLabel(IdentifierInfo *II, SourceLocation IdentLoc,
SourceLocation GnuLabelLoc = SourceLocation());
DeclContextLookupResult LookupConstructors(CXXRecordDecl *Class);
CXXConstructorDecl *LookupDefaultConstructor(CXXRecordDecl *Class);
CXXConstructorDecl *LookupCopyingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupCopyingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXConstructorDecl *LookupMovingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupMovingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXDestructorDecl *LookupDestructor(CXXRecordDecl *Class);
bool checkLiteralOperatorId(const CXXScopeSpec &SS, const UnqualifiedId &Id);
LiteralOperatorLookupResult LookupLiteralOperator(Scope *S, LookupResult &R,
ArrayRef<QualType> ArgTys,
bool AllowRaw,
bool AllowTemplate,
bool AllowStringTemplate);
bool isKnownName(StringRef name);
void ArgumentDependentLookup(DeclarationName Name, SourceLocation Loc,
ArrayRef<Expr *> Args, ADLResult &Functions);
void LookupVisibleDecls(Scope *S, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true);
void LookupVisibleDecls(DeclContext *Ctx, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true);
enum CorrectTypoKind {
CTK_NonError, // CorrectTypo used in a non error recovery situation.
CTK_ErrorRecovery // CorrectTypo used in normal error recovery.
};
TypoCorrection CorrectTypo(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind,
Scope *S, CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr,
bool RecordFailure = true);
TypoExpr *CorrectTypoDelayed(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
std::unique_ptr<CorrectionCandidateCallback> CCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC, CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr);
/// \brief Process any TypoExprs in the given Expr and its children,
/// generating diagnostics as appropriate and returning a new Expr if there
/// were typos that were all successfully corrected and ExprError if one or
/// more typos could not be corrected.
///
/// \param E The Expr to check for TypoExprs.
///
/// \param InitDecl A VarDecl to avoid because the Expr being corrected is its
/// initializer.
///
/// \param Filter A function applied to a newly rebuilt Expr to determine if
/// it is an acceptable/usable result from a single combination of typo
/// corrections. As long as the filter returns ExprError, different
/// combinations of corrections will be tried until all are exhausted.
ExprResult
CorrectDelayedTyposInExpr(Expr *E, VarDecl *InitDecl = nullptr,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; });
ExprResult
CorrectDelayedTyposInExpr(Expr *E,
llvm::function_ref<ExprResult(Expr *)> Filter) {
return CorrectDelayedTyposInExpr(E, nullptr, Filter);
}
ExprResult
CorrectDelayedTyposInExpr(ExprResult ER, VarDecl *InitDecl = nullptr,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; }) {
return ER.isInvalid() ? ER : CorrectDelayedTyposInExpr(ER.get(), Filter);
}
ExprResult
CorrectDelayedTyposInExpr(ExprResult ER,
llvm::function_ref<ExprResult(Expr *)> Filter) {
return CorrectDelayedTyposInExpr(ER, nullptr, Filter);
}
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
bool ErrorRecovery = true);
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
const PartialDiagnostic &PrevNote,
bool ErrorRecovery = true);
void FindAssociatedClassesAndNamespaces(SourceLocation InstantiationLoc,
ArrayRef<Expr *> Args,
AssociatedNamespaceSet &AssociatedNamespaces,
AssociatedClassSet &AssociatedClasses);
void FilterLookupForScope(LookupResult &R, DeclContext *Ctx, Scope *S,
bool ConsiderLinkage, bool AllowInlineNamespace);
void DiagnoseAmbiguousLookup(LookupResult &Result);
//@}
ObjCInterfaceDecl *getObjCInterfaceDecl(IdentifierInfo *&Id,
SourceLocation IdLoc,
bool TypoCorrection = false);
NamedDecl *LazilyCreateBuiltin(IdentifierInfo *II, unsigned ID,
Scope *S, bool ForRedeclaration,
SourceLocation Loc);
NamedDecl *ImplicitlyDefineFunction(SourceLocation Loc, IdentifierInfo &II,
Scope *S);
void AddKnownFunctionAttributes(FunctionDecl *FD);
// More parsing and symbol table subroutines.
void ProcessPragmaWeak(Scope *S, Decl *D);
// Decl attributes - this routine is the top level dispatcher.
void ProcessDeclAttributes(Scope *S, Decl *D, const Declarator &PD);
void ProcessDeclAttributeList(Scope *S, Decl *D, const AttributeList *AL,
bool IncludeCXX11Attributes = true);
bool ProcessAccessDeclAttributeList(AccessSpecDecl *ASDecl,
const AttributeList *AttrList);
void checkUnusedDeclAttributes(Declarator &D);
/// Determine if type T is a valid subject for a nonnull and similar
/// attributes. By default, we look through references (the behavior used by
/// nonnull), but if the second parameter is true, then we treat a reference
/// type as valid.
bool isValidPointerAttrType(QualType T, bool RefOkay = false);
bool CheckRegparmAttr(const AttributeList &attr, unsigned &value);
bool CheckCallingConvAttr(const AttributeList &attr, CallingConv &CC,
const FunctionDecl *FD = nullptr);
bool CheckNoReturnAttr(const AttributeList &attr);
bool checkStringLiteralArgumentAttr(const AttributeList &Attr,
unsigned ArgNum, StringRef &Str,
SourceLocation *ArgLocation = nullptr);
bool checkSectionName(SourceLocation LiteralLoc, StringRef Str);
void checkTargetAttr(SourceLocation LiteralLoc, StringRef Str);
bool checkMSInheritanceAttrOnDefinition(
CXXRecordDecl *RD, SourceRange Range, bool BestCase,
MSInheritanceAttr::Spelling SemanticSpelling);
void CheckAlignasUnderalignment(Decl *D);
/// Adjust the calling convention of a method to be the ABI default if it
/// wasn't specified explicitly. This handles method types formed from
/// function type typedefs and typename template arguments.
void adjustMemberFunctionCC(QualType &T, bool IsStatic);
// Check if there is an explicit attribute, but only look through parens.
// The intent is to look for an attribute on the current declarator, but not
// one that came from a typedef.
bool hasExplicitCallingConv(QualType &T);
/// Get the outermost AttributedType node that sets a calling convention.
/// Valid types should not have multiple attributes with different CCs.
const AttributedType *getCallingConvAttributedType(QualType T) const;
/// Check whether a nullability type specifier can be added to the given
/// type.
///
/// \param type The type to which the nullability specifier will be
/// added. On success, this type will be updated appropriately.
///
/// \param nullability The nullability specifier to add.
///
/// \param nullabilityLoc The location of the nullability specifier.
///
/// \param isContextSensitive Whether this nullability specifier was
/// written as a context-sensitive keyword (in an Objective-C
/// method) or an Objective-C property attribute, rather than as an
/// underscored type specifier.
///
/// \returns true if nullability cannot be applied, false otherwise.
bool checkNullabilityTypeSpecifier(QualType &type, NullabilityKind nullability,
SourceLocation nullabilityLoc,
bool isContextSensitive);
/// \brief Stmt attributes - this routine is the top level dispatcher.
StmtResult ProcessStmtAttributes(Stmt *Stmt, AttributeList *Attrs,
SourceRange Range);
void WarnConflictingTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
void CheckConflictingOverridingMethod(ObjCMethodDecl *Method,
ObjCMethodDecl *Overridden,
bool IsProtocolMethodDecl);
/// WarnExactTypedMethods - This routine issues a warning if method
/// implementation declaration matches exactly that of its declaration.
void WarnExactTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
typedef llvm::SmallPtrSet<Selector, 8> SelectorSet;
typedef llvm::DenseMap<Selector, ObjCMethodDecl*> ProtocolsMethodsMap;
/// CheckImplementationIvars - This routine checks if the instance variables
/// listed in the implelementation match those listed in the interface.
void CheckImplementationIvars(ObjCImplementationDecl *ImpDecl,
ObjCIvarDecl **Fields, unsigned nIvars,
SourceLocation Loc);
/// ImplMethodsVsClassMethods - This is main routine to warn if any method
/// remains unimplemented in the class or category \@implementation.
void ImplMethodsVsClassMethods(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool IncompleteImpl = false);
/// DiagnoseUnimplementedProperties - This routine warns on those properties
/// which must be implemented by this implementation.
void DiagnoseUnimplementedProperties(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl *CDecl,
bool SynthesizeProperties);
/// Diagnose any null-resettable synthesized setters.
void diagnoseNullResettableSynthesizedSetters(const ObjCImplDecl *impDecl);
/// DefaultSynthesizeProperties - This routine default synthesizes all
/// properties which must be synthesized in the class's \@implementation.
void DefaultSynthesizeProperties (Scope *S, ObjCImplDecl* IMPDecl,
ObjCInterfaceDecl *IDecl);
void DefaultSynthesizeProperties(Scope *S, Decl *D);
/// IvarBacksCurrentMethodAccessor - This routine returns 'true' if 'IV' is
/// an ivar synthesized for 'Method' and 'Method' is a property accessor
/// declared in class 'IFace'.
bool IvarBacksCurrentMethodAccessor(ObjCInterfaceDecl *IFace,
ObjCMethodDecl *Method, ObjCIvarDecl *IV);
/// DiagnoseUnusedBackingIvarInAccessor - Issue an 'unused' warning if ivar which
/// backs the property is not used in the property's accessor.
void DiagnoseUnusedBackingIvarInAccessor(Scope *S,
const ObjCImplementationDecl *ImplD);
/// GetIvarBackingPropertyAccessor - If method is a property setter/getter and
/// it property has a backing ivar, returns this ivar; otherwise, returns NULL.
/// It also returns ivar's property on success.
ObjCIvarDecl *GetIvarBackingPropertyAccessor(const ObjCMethodDecl *Method,
const ObjCPropertyDecl *&PDecl) const;
/// Called by ActOnProperty to handle \@property declarations in
/// class extensions.
ObjCPropertyDecl *HandlePropertyInClassExtension(Scope *S,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
Selector SetterSel,
const bool isAssign,
const bool isReadWrite,
const unsigned Attributes,
const unsigned AttributesAsWritten,
bool *isOverridingProperty,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind);
/// Called by ActOnProperty and HandlePropertyInClassExtension to
/// handle creating the ObjcPropertyDecl for a category or \@interface.
ObjCPropertyDecl *CreatePropertyDecl(Scope *S,
ObjCContainerDecl *CDecl,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
Selector SetterSel,
const bool isAssign,
const bool isReadWrite,
const unsigned Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
/// AtomicPropertySetterGetterRules - This routine enforces the rule (via
/// warning) when atomic property has one but not the other user-declared
/// setter or getter.
void AtomicPropertySetterGetterRules(ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl);
void DiagnoseOwningPropertyGetterSynthesis(const ObjCImplementationDecl *D);
void DiagnoseMissingDesignatedInitOverrides(
const ObjCImplementationDecl *ImplD,
const ObjCInterfaceDecl *IFD);
void DiagnoseDuplicateIvars(ObjCInterfaceDecl *ID, ObjCInterfaceDecl *SID);
enum MethodMatchStrategy {
MMS_loose,
MMS_strict
};
/// MatchTwoMethodDeclarations - Checks if two methods' type match and returns
/// true, or false, accordingly.
bool MatchTwoMethodDeclarations(const ObjCMethodDecl *Method,
const ObjCMethodDecl *PrevMethod,
MethodMatchStrategy strategy = MMS_strict);
/// MatchAllMethodDeclarations - Check methods declaraed in interface or
/// or protocol against those declared in their implementations.
void MatchAllMethodDeclarations(const SelectorSet &InsMap,
const SelectorSet &ClsMap,
SelectorSet &InsMapSeen,
SelectorSet &ClsMapSeen,
ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool &IncompleteImpl,
bool ImmediateClass,
bool WarnCategoryMethodImpl=false);
/// CheckCategoryVsClassMethodMatches - Checks that methods implemented in
/// category matches with those implemented in its primary class and
/// warns each time an exact match is found.
void CheckCategoryVsClassMethodMatches(ObjCCategoryImplDecl *CatIMP);
/// \brief Add the given method to the list of globally-known methods.
void addMethodToGlobalList(ObjCMethodList *List, ObjCMethodDecl *Method);
private:
/// AddMethodToGlobalPool - Add an instance or factory method to the global
/// pool. See descriptoin of AddInstanceMethodToGlobalPool.
void AddMethodToGlobalPool(ObjCMethodDecl *Method, bool impl, bool instance);
/// LookupMethodInGlobalPool - Returns the instance or factory method and
/// optionally warns if there are multiple signatures.
ObjCMethodDecl *LookupMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass,
bool instance);
public:
/// \brief - Returns instance or factory methods in global method pool for
/// given selector. If no such method or only one method found, function returns
/// false; otherwise, it returns true
bool CollectMultipleMethodsInGlobalPool(Selector Sel,
SmallVectorImpl<ObjCMethodDecl*>& Methods,
bool instance);
bool AreMultipleMethodsInGlobalPool(Selector Sel, ObjCMethodDecl *BestMethod,
SourceRange R,
bool receiverIdOrClass);
void DiagnoseMultipleMethodInGlobalPool(SmallVectorImpl<ObjCMethodDecl*> &Methods,
Selector Sel, SourceRange R,
bool receiverIdOrClass);
private:
/// \brief - Returns a selector which best matches given argument list or
/// nullptr if none could be found
ObjCMethodDecl *SelectBestMethod(Selector Sel, MultiExprArg Args,
bool IsInstance);
/// \brief Record the typo correction failure and return an empty correction.
TypoCorrection FailedCorrection(IdentifierInfo *Typo, SourceLocation TypoLoc,
bool RecordFailure = true) {
if (RecordFailure)
TypoCorrectionFailures[Typo].insert(TypoLoc);
return TypoCorrection();
}
public:
/// AddInstanceMethodToGlobalPool - All instance methods in a translation
/// unit are added to a global pool. This allows us to efficiently associate
/// a selector with a method declaraation for purposes of typechecking
/// messages sent to "id" (where the class of the object is unknown).
void AddInstanceMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/true);
}
/// AddFactoryMethodToGlobalPool - Same as above, but for factory methods.
void AddFactoryMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/false);
}
/// AddAnyMethodToGlobalPool - Add any method, instance or factory to global
/// pool.
void AddAnyMethodToGlobalPool(Decl *D);
/// LookupInstanceMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupInstanceMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/true);
}
/// LookupFactoryMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupFactoryMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/false);
}
const ObjCMethodDecl *SelectorsForTypoCorrection(Selector Sel,
QualType ObjectType=QualType());
/// LookupImplementedMethodInGlobalPool - Returns the method which has an
/// implementation.
ObjCMethodDecl *LookupImplementedMethodInGlobalPool(Selector Sel);
/// CollectIvarsToConstructOrDestruct - Collect those ivars which require
/// initialization.
void CollectIvarsToConstructOrDestruct(ObjCInterfaceDecl *OI,
SmallVectorImpl<ObjCIvarDecl*> &Ivars);
//===--------------------------------------------------------------------===//
// Statement Parsing Callbacks: SemaStmt.cpp.
public:
class FullExprArg {
public:
FullExprArg(Sema &actions) : E(nullptr) { }
ExprResult release() {
return E;
}
Expr *get() const { return E; }
Expr *operator->() {
return E;
}
private:
// FIXME: No need to make the entire Sema class a friend when it's just
// Sema::MakeFullExpr that needs access to the constructor below.
friend class Sema;
explicit FullExprArg(Expr *expr) : E(expr) {}
Expr *E;
};
FullExprArg MakeFullExpr(Expr *Arg) {
return MakeFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation());
}
FullExprArg MakeFullExpr(Expr *Arg, SourceLocation CC) {
return FullExprArg(ActOnFinishFullExpr(Arg, CC).get());
}
FullExprArg MakeFullDiscardedValueExpr(Expr *Arg) {
ExprResult FE =
ActOnFinishFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation(),
/*DiscardedValue*/ true);
return FullExprArg(FE.get());
}
StmtResult ActOnExprStmt(ExprResult Arg);
StmtResult ActOnExprStmtError();
StmtResult ActOnHlslDiscardStmt(SourceLocation Loc); // HLSL Change
StmtResult ActOnNullStmt(SourceLocation SemiLoc,
bool HasLeadingEmptyMacro = false);
void ActOnStartOfCompoundStmt();
void ActOnFinishOfCompoundStmt();
StmtResult ActOnCompoundStmt(SourceLocation L, SourceLocation R,
ArrayRef<Stmt *> Elts, bool isStmtExpr);
/// \brief A RAII object to enter scope of a compound statement.
class CompoundScopeRAII {
public:
CompoundScopeRAII(Sema &S): S(S) {
S.ActOnStartOfCompoundStmt();
}
~CompoundScopeRAII() {
S.ActOnFinishOfCompoundStmt();
}
private:
Sema &S;
};
/// An RAII helper that pops function a function scope on exit.
struct FunctionScopeRAII {
Sema &S;
bool Active;
FunctionScopeRAII(Sema &S) : S(S), Active(true) {}
~FunctionScopeRAII() {
if (Active)
S.PopFunctionScopeInfo();
}
void disable() { Active = false; }
};
StmtResult ActOnDeclStmt(DeclGroupPtrTy Decl,
SourceLocation StartLoc,
SourceLocation EndLoc);
void ActOnForEachDeclStmt(DeclGroupPtrTy Decl);
StmtResult ActOnForEachLValueExpr(Expr *E);
StmtResult ActOnCaseStmt(SourceLocation CaseLoc, Expr *LHSVal,
SourceLocation DotDotDotLoc, Expr *RHSVal,
SourceLocation ColonLoc);
void ActOnCaseStmtBody(Stmt *CaseStmt, Stmt *SubStmt);
StmtResult ActOnDefaultStmt(SourceLocation DefaultLoc,
SourceLocation ColonLoc,
Stmt *SubStmt, Scope *CurScope);
StmtResult ActOnLabelStmt(SourceLocation IdentLoc, LabelDecl *TheDecl,
SourceLocation ColonLoc, Stmt *SubStmt);
StmtResult ActOnAttributedStmt(SourceLocation AttrLoc,
ArrayRef<const Attr*> Attrs,
Stmt *SubStmt);
StmtResult ActOnIfStmt(SourceLocation IfLoc,
FullExprArg CondVal, Decl *CondVar,
Stmt *ThenVal,
SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult ActOnStartOfSwitchStmt(SourceLocation SwitchLoc,
Expr *Cond,
Decl *CondVar);
StmtResult ActOnFinishSwitchStmt(SourceLocation SwitchLoc,
Stmt *Switch, Stmt *Body);
StmtResult ActOnWhileStmt(SourceLocation WhileLoc,
FullExprArg Cond,
Decl *CondVar, Stmt *Body);
StmtResult ActOnDoStmt(SourceLocation DoLoc, Stmt *Body,
SourceLocation WhileLoc,
SourceLocation CondLParen, Expr *Cond,
SourceLocation CondRParen);
StmtResult ActOnForStmt(SourceLocation ForLoc,
SourceLocation LParenLoc,
Stmt *First, FullExprArg Second,
Decl *SecondVar,
FullExprArg Third,
SourceLocation RParenLoc,
Stmt *Body);
ExprResult CheckObjCForCollectionOperand(SourceLocation forLoc,
Expr *collection);
StmtResult ActOnObjCForCollectionStmt(SourceLocation ForColLoc,
Stmt *First, Expr *collection,
SourceLocation RParenLoc);
StmtResult FinishObjCForCollectionStmt(Stmt *ForCollection, Stmt *Body);
enum BuildForRangeKind {
/// Initial building of a for-range statement.
BFRK_Build,
/// Instantiation or recovery rebuild of a for-range statement. Don't
/// attempt any typo-correction.
BFRK_Rebuild,
/// Determining whether a for-range statement could be built. Avoid any
/// unnecessary or irreversible actions.
BFRK_Check
};
StmtResult ActOnCXXForRangeStmt(SourceLocation ForLoc, Stmt *LoopVar,
SourceLocation ColonLoc, Expr *Collection,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult BuildCXXForRangeStmt(SourceLocation ForLoc,
SourceLocation ColonLoc,
Stmt *RangeDecl, Stmt *BeginEndDecl,
Expr *Cond, Expr *Inc,
Stmt *LoopVarDecl,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult FinishCXXForRangeStmt(Stmt *ForRange, Stmt *Body);
StmtResult ActOnGotoStmt(SourceLocation GotoLoc,
SourceLocation LabelLoc,
LabelDecl *TheDecl);
StmtResult ActOnIndirectGotoStmt(SourceLocation GotoLoc,
SourceLocation StarLoc,
Expr *DestExp);
StmtResult ActOnContinueStmt(SourceLocation ContinueLoc, Scope *CurScope);
StmtResult ActOnBreakStmt(SourceLocation BreakLoc, Scope *CurScope);
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind, unsigned NumParams);
typedef std::pair<StringRef, QualType> CapturedParamNameType;
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind,
ArrayRef<CapturedParamNameType> Params);
StmtResult ActOnCapturedRegionEnd(Stmt *S);
void ActOnCapturedRegionError();
RecordDecl *CreateCapturedStmtRecordDecl(CapturedDecl *&CD,
SourceLocation Loc,
unsigned NumParams);
VarDecl *getCopyElisionCandidate(QualType ReturnType, Expr *E,
bool AllowFunctionParameters);
bool isCopyElisionCandidate(QualType ReturnType, const VarDecl *VD,
bool AllowFunctionParameters);
StmtResult ActOnReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp,
Scope *CurScope);
StmtResult BuildReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnCapScopeReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
bool IsVolatile, unsigned NumOutputs,
unsigned NumInputs, IdentifierInfo **Names,
MultiExprArg Constraints, MultiExprArg Exprs,
Expr *AsmString, MultiExprArg Clobbers,
SourceLocation RParenLoc);
ExprResult LookupInlineAsmIdentifier(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Id,
llvm::InlineAsmIdentifierInfo &Info,
bool IsUnevaluatedContext);
bool LookupInlineAsmField(StringRef Base, StringRef Member,
unsigned &Offset, SourceLocation AsmLoc);
StmtResult ActOnMSAsmStmt(SourceLocation AsmLoc, SourceLocation LBraceLoc,
ArrayRef<Token> AsmToks,
StringRef AsmString,
unsigned NumOutputs, unsigned NumInputs,
ArrayRef<StringRef> Constraints,
ArrayRef<StringRef> Clobbers,
ArrayRef<Expr*> Exprs,
SourceLocation EndLoc);
LabelDecl *GetOrCreateMSAsmLabel(StringRef ExternalLabelName,
SourceLocation Location,
bool AlwaysCreate);
VarDecl *BuildObjCExceptionDecl(TypeSourceInfo *TInfo, QualType ExceptionType,
SourceLocation StartLoc,
SourceLocation IdLoc, IdentifierInfo *Id,
bool Invalid = false);
Decl *ActOnObjCExceptionDecl(Scope *S, Declarator &D);
StmtResult ActOnObjCAtCatchStmt(SourceLocation AtLoc, SourceLocation RParen,
Decl *Parm, Stmt *Body);
StmtResult ActOnObjCAtFinallyStmt(SourceLocation AtLoc, Stmt *Body);
StmtResult ActOnObjCAtTryStmt(SourceLocation AtLoc, Stmt *Try,
MultiStmtArg Catch, Stmt *Finally);
StmtResult BuildObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw);
StmtResult ActOnObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw,
Scope *CurScope);
ExprResult ActOnObjCAtSynchronizedOperand(SourceLocation atLoc,
Expr *operand);
StmtResult ActOnObjCAtSynchronizedStmt(SourceLocation AtLoc,
Expr *SynchExpr,
Stmt *SynchBody);
StmtResult ActOnObjCAutoreleasePoolStmt(SourceLocation AtLoc, Stmt *Body);
VarDecl *BuildExceptionDeclaration(Scope *S, TypeSourceInfo *TInfo,
SourceLocation StartLoc,
SourceLocation IdLoc,
IdentifierInfo *Id);
Decl *ActOnExceptionDeclarator(Scope *S, Declarator &D);
StmtResult ActOnCXXCatchBlock(SourceLocation CatchLoc,
Decl *ExDecl, Stmt *HandlerBlock);
StmtResult ActOnCXXTryBlock(SourceLocation TryLoc, Stmt *TryBlock,
ArrayRef<Stmt *> Handlers);
StmtResult ActOnSEHTryBlock(bool IsCXXTry, // try (true) or __try (false) ?
SourceLocation TryLoc, Stmt *TryBlock,
Stmt *Handler);
StmtResult ActOnSEHExceptBlock(SourceLocation Loc,
Expr *FilterExpr,
Stmt *Block);
void ActOnStartSEHFinallyBlock();
void ActOnAbortSEHFinallyBlock();
StmtResult ActOnFinishSEHFinallyBlock(SourceLocation Loc, Stmt *Block);
StmtResult ActOnSEHLeaveStmt(SourceLocation Loc, Scope *CurScope);
void DiagnoseReturnInConstructorExceptionHandler(CXXTryStmt *TryBlock);
bool ShouldWarnIfUnusedFileScopedDecl(const DeclaratorDecl *D) const;
/// \brief If it's a file scoped decl that must warn if not used, keep track
/// of it.
void MarkUnusedFileScopedDecl(const DeclaratorDecl *D);
/// DiagnoseUnusedExprResult - If the statement passed in is an expression
/// whose result is unused, warn.
void DiagnoseUnusedExprResult(const Stmt *S);
void DiagnoseUnusedNestedTypedefs(const RecordDecl *D);
void DiagnoseUnusedDecl(const NamedDecl *ND);
/// Emit \p DiagID if statement located on \p StmtLoc has a suspicious null
/// statement as a \p Body, and it is located on the same line.
///
/// This helps prevent bugs due to typos, such as:
/// if (condition);
/// do_stuff();
void DiagnoseEmptyStmtBody(SourceLocation StmtLoc,
const Stmt *Body,
unsigned DiagID);
/// Warn if a for/while loop statement \p S, which is followed by
/// \p PossibleBody, has a suspicious null statement as a body.
void DiagnoseEmptyLoopBody(const Stmt *S,
const Stmt *PossibleBody);
/// Warn if a value is moved to itself.
void DiagnoseSelfMove(const Expr *LHSExpr, const Expr *RHSExpr,
SourceLocation OpLoc);
ParsingDeclState PushParsingDeclaration(sema::DelayedDiagnosticPool &pool) {
return DelayedDiagnostics.push(pool);
}
void PopParsingDeclaration(ParsingDeclState state, Decl *decl);
typedef ProcessingContextState ParsingClassState;
ParsingClassState PushParsingClass() {
return DelayedDiagnostics.pushUndelayed();
}
void PopParsingClass(ParsingClassState state) {
DelayedDiagnostics.popUndelayed(state);
}
void redelayDiagnostics(sema::DelayedDiagnosticPool &pool);
enum AvailabilityDiagnostic { AD_Deprecation, AD_Unavailable, AD_Partial };
void EmitAvailabilityWarning(AvailabilityDiagnostic AD,
NamedDecl *D, StringRef Message,
SourceLocation Loc,
const ObjCInterfaceDecl *UnknownObjCClass,
const ObjCPropertyDecl *ObjCProperty,
bool ObjCPropertyAccess);
bool makeUnavailableInSystemHeader(SourceLocation loc,
StringRef message);
//===--------------------------------------------------------------------===//
// Expression Parsing Callbacks: SemaExpr.cpp.
bool CanUseDecl(NamedDecl *D);
bool DiagnoseUseOfDecl(NamedDecl *D, SourceLocation Loc,
const ObjCInterfaceDecl *UnknownObjCClass=nullptr,
bool ObjCPropertyAccess=false);
void NoteDeletedFunction(FunctionDecl *FD);
std::string getDeletedOrUnavailableSuffix(const FunctionDecl *FD);
bool DiagnosePropertyAccessorMismatch(ObjCPropertyDecl *PD,
ObjCMethodDecl *Getter,
SourceLocation Loc);
void DiagnoseSentinelCalls(NamedDecl *D, SourceLocation Loc,
ArrayRef<Expr *> Args);
void PushExpressionEvaluationContext(ExpressionEvaluationContext NewContext,
Decl *LambdaContextDecl = nullptr,
bool IsDecltype = false);
enum ReuseLambdaContextDecl_t { ReuseLambdaContextDecl };
void PushExpressionEvaluationContext(ExpressionEvaluationContext NewContext,
ReuseLambdaContextDecl_t,
bool IsDecltype = false);
void PopExpressionEvaluationContext();
void DiscardCleanupsInEvaluationContext();
ExprResult TransformToPotentiallyEvaluated(Expr *E);
ExprResult HandleExprEvaluationContextForTypeof(Expr *E);
ExprResult ActOnConstantExpression(ExprResult Res);
// Functions for marking a declaration referenced. These functions also
// contain the relevant logic for marking if a reference to a function or
// variable is an odr-use (in the C++11 sense). There are separate variants
// for expressions referring to a decl; these exist because odr-use marking
// needs to be delayed for some constant variables when we build one of the
// named expressions.
void MarkAnyDeclReferenced(SourceLocation Loc, Decl *D, bool OdrUse);
void MarkFunctionReferenced(SourceLocation Loc, FunctionDecl *Func,
bool OdrUse = true);
void MarkVariableReferenced(SourceLocation Loc, VarDecl *Var);
void MarkDeclRefReferenced(DeclRefExpr *E);
void MarkMemberReferenced(MemberExpr *E);
void UpdateMarkingForLValueToRValue(Expr *E);
void CleanupVarDeclMarking();
enum TryCaptureKind {
TryCapture_Implicit, TryCapture_ExplicitByVal, TryCapture_ExplicitByRef
};
/// \brief Try to capture the given variable.
///
/// \param Var The variable to capture.
///
/// \param Loc The location at which the capture occurs.
///
/// \param Kind The kind of capture, which may be implicit (for either a
/// block or a lambda), or explicit by-value or by-reference (for a lambda).
///
/// \param EllipsisLoc The location of the ellipsis, if one is provided in
/// an explicit lambda capture.
///
/// \param BuildAndDiagnose Whether we are actually supposed to add the
/// captures or diagnose errors. If false, this routine merely check whether
/// the capture can occur without performing the capture itself or complaining
/// if the variable cannot be captured.
///
/// \param CaptureType Will be set to the type of the field used to capture
/// this variable in the innermost block or lambda. Only valid when the
/// variable can be captured.
///
/// \param DeclRefType Will be set to the type of a reference to the capture
/// from within the current scope. Only valid when the variable can be
/// captured.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// variables that may or may not be used in certain specializations of
/// a nested generic lambda.
///
/// \returns true if an error occurred (i.e., the variable cannot be
/// captured) and false if the capture succeeded.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc, TryCaptureKind Kind,
SourceLocation EllipsisLoc, bool BuildAndDiagnose,
QualType &CaptureType,
QualType &DeclRefType,
const unsigned *const FunctionScopeIndexToStopAt);
/// \brief Try to capture the given variable.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc,
TryCaptureKind Kind = TryCapture_Implicit,
SourceLocation EllipsisLoc = SourceLocation());
/// \brief Checks if the variable must be captured.
bool NeedToCaptureVariable(VarDecl *Var, SourceLocation Loc);
/// \brief Given a variable, determine the type that a reference to that
/// variable will have in the given scope.
QualType getCapturedDeclRefType(VarDecl *Var, SourceLocation Loc);
void MarkDeclarationsReferencedInType(SourceLocation Loc, QualType T);
void MarkDeclarationsReferencedInExpr(Expr *E,
bool SkipLocalVariables = false);
/// \brief Try to recover by turning the given expression into a
/// call. Returns true if recovery was attempted or an error was
/// emitted; this may also leave the ExprResult invalid.
bool tryToRecoverWithCall(ExprResult &E, const PartialDiagnostic &PD,
bool ForceComplain = false,
bool (*IsPlausibleResult)(QualType) = nullptr);
/// \brief Figure out if an expression could be turned into a call.
bool tryExprAsCall(Expr &E, QualType &ZeroArgCallReturnTy,
UnresolvedSetImpl &NonTemplateOverloads);
/// \brief Conditionally issue a diagnostic based on the current
/// evaluation context.
///
/// \param Statement If Statement is non-null, delay reporting the
/// diagnostic until the function body is parsed, and then do a basic
/// reachability analysis to determine if the statement is reachable.
/// If it is unreachable, the diagnostic will not be emitted.
bool DiagRuntimeBehavior(SourceLocation Loc, const Stmt *Statement,
const PartialDiagnostic &PD);
// Primary Expressions.
SourceRange getExprRange(Expr *E) const;
ExprResult ActOnIdExpression(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
UnqualifiedId &Id, bool HasTrailingLParen, bool IsAddressOfOperand,
std::unique_ptr<CorrectionCandidateCallback> CCC = nullptr,
bool IsInlineAsmIdentifier = false, Token *KeywordReplacement = nullptr);
void DecomposeUnqualifiedId(const UnqualifiedId &Id,
TemplateArgumentListInfo &Buffer,
DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *&TemplateArgs);
bool
DiagnoseEmptyLookup(Scope *S, CXXScopeSpec &SS, LookupResult &R,
std::unique_ptr<CorrectionCandidateCallback> CCC,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
ArrayRef<Expr *> Args = None, TypoExpr **Out = nullptr);
ExprResult LookupInObjCMethod(LookupResult &LookUp, Scope *S,
IdentifierInfo *II,
bool AllowBuiltinCreation=false);
ExprResult ActOnDependentIdExpression(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
bool isAddressOfOperand,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclRefExpr(ValueDecl *D, QualType Ty,
ExprValueKind VK,
SourceLocation Loc,
const CXXScopeSpec *SS = nullptr);
ExprResult
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
const CXXScopeSpec *SS = nullptr,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
ExprResult
BuildAnonymousStructUnionMemberReference(
const CXXScopeSpec &SS,
SourceLocation nameLoc,
IndirectFieldDecl *indirectField,
DeclAccessPair FoundDecl = DeclAccessPair::make(nullptr, AS_none),
Expr *baseObjectExpr = nullptr,
SourceLocation opLoc = SourceLocation());
ExprResult BuildPossibleImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
bool IsDefiniteInstance);
bool UseArgumentDependentLookup(const CXXScopeSpec &SS,
const LookupResult &R,
bool HasTrailingLParen);
ExprResult BuildQualifiedDeclarationNameExpr(
CXXScopeSpec &SS, const DeclarationNameInfo &NameInfo,
bool IsAddressOfOperand, TypeSourceInfo **RecoveryTSI = nullptr);
ExprResult BuildDependentDeclRefExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclarationNameExpr(const CXXScopeSpec &SS,
LookupResult &R,
bool NeedsADL,
bool AcceptInvalidDecl = false);
ExprResult BuildDeclarationNameExpr(
const CXXScopeSpec &SS, const DeclarationNameInfo &NameInfo, NamedDecl *D,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr,
bool AcceptInvalidDecl = false);
ExprResult BuildLiteralOperatorCall(LookupResult &R,
DeclarationNameInfo &SuffixInfo,
ArrayRef<Expr *> Args,
SourceLocation LitEndLoc,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
ExprResult BuildPredefinedExpr(SourceLocation Loc,
PredefinedExpr::IdentType IT);
ExprResult ActOnPredefinedExpr(SourceLocation Loc, tok::TokenKind Kind);
ExprResult ActOnIntegerConstant(SourceLocation Loc, uint64_t Val);
bool CheckLoopHintExpr(Expr *E, SourceLocation Loc);
ExprResult ActOnNumericConstant(const Token &Tok, Scope *UDLScope = nullptr);
ExprResult ActOnCharacterConstant(const Token &Tok,
Scope *UDLScope = nullptr);
ExprResult ActOnParenExpr(SourceLocation L, SourceLocation R, Expr *E);
ExprResult ActOnParenListExpr(SourceLocation L,
SourceLocation R,
MultiExprArg Val);
/// ActOnStringLiteral - The specified tokens were lexed as pasted string
/// fragments (e.g. "foo" "bar" L"baz").
ExprResult ActOnStringLiteral(ArrayRef<Token> StringToks,
Scope *UDLScope = nullptr);
ExprResult ActOnGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<ParsedType> ArgTypes,
ArrayRef<Expr *> ArgExprs);
ExprResult CreateGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<TypeSourceInfo *> Types,
ArrayRef<Expr *> Exprs);
// Binary/Unary Operators. 'Tok' is the token for the operator.
ExprResult CreateBuiltinUnaryOp(SourceLocation OpLoc, UnaryOperatorKind Opc,
Expr *InputExpr);
ExprResult BuildUnaryOp(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opc, Expr *Input);
ExprResult ActOnUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Op, Expr *Input);
QualType CheckAddressOfOperand(ExprResult &Operand, SourceLocation OpLoc);
ExprResult CreateUnaryExprOrTypeTraitExpr(TypeSourceInfo *TInfo,
SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
SourceRange R);
ExprResult CreateUnaryExprOrTypeTraitExpr(Expr *E, SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind);
ExprResult
ActOnUnaryExprOrTypeTraitExpr(SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
bool IsType, void *TyOrEx,
const SourceRange &ArgRange);
ExprResult CheckPlaceholderExpr(Expr *E);
bool CheckVecStepExpr(Expr *E);
bool CheckUnaryExprOrTypeTraitOperand(Expr *E, UnaryExprOrTypeTrait ExprKind);
bool CheckUnaryExprOrTypeTraitOperand(QualType ExprType, SourceLocation OpLoc,
SourceRange ExprRange,
UnaryExprOrTypeTrait ExprKind);
ExprResult ActOnSizeofParameterPackExpr(Scope *S,
SourceLocation OpLoc,
IdentifierInfo &Name,
SourceLocation NameLoc,
SourceLocation RParenLoc);
ExprResult ActOnPostfixUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Kind, Expr *Input);
ExprResult ActOnArraySubscriptExpr(Scope *S, Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult CreateBuiltinArraySubscriptExpr(Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
// This struct is for use by ActOnMemberAccess to allow
// BuildMemberReferenceExpr to be able to reinvoke ActOnMemberAccess after
// changing the access operator from a '.' to a '->' (to see if that is the
// change needed to fix an error about an unknown member, e.g. when the class
// defines a custom operator->).
struct ActOnMemberAccessExtraArgs {
Scope *S;
UnqualifiedId &Id;
Decl *ObjCImpDecl;
};
ExprResult BuildMemberReferenceExpr(
Expr *Base, QualType BaseType, SourceLocation OpLoc, bool IsArrow,
CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult
BuildMemberReferenceExpr(Expr *Base, QualType BaseType, SourceLocation OpLoc,
bool IsArrow, const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
bool SuppressQualifierCheck = false,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult PerformMemberExprBaseConversion(Expr *Base, bool IsArrow);
bool CheckQualifiedMemberReference(Expr *BaseExpr, QualType BaseType,
const CXXScopeSpec &SS,
const LookupResult &R);
ExprResult ActOnDependentMemberExpr(Expr *Base, QualType BaseType,
bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult ActOnMemberAccessExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Member,
Decl *ObjCImpDecl);
void ActOnDefaultCtorInitializers(Decl *CDtorDecl);
bool ConvertArgumentsForCall(CallExpr *Call, Expr *Fn,
FunctionDecl *FDecl,
const FunctionProtoType *Proto,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
bool ExecConfig = false);
void CheckStaticArrayArgument(SourceLocation CallLoc,
ParmVarDecl *Param,
const Expr *ArgExpr);
/// ActOnCallExpr - Handle a call to Fn with the specified array of arguments.
/// This provides the location of the left/right parens and a list of comma
/// locations.
ExprResult ActOnCallExpr(Scope *S, Expr *Fn, SourceLocation LParenLoc,
MultiExprArg ArgExprs, SourceLocation RParenLoc,
Expr *ExecConfig = nullptr,
bool IsExecConfig = false);
ExprResult BuildResolvedCallExpr(Expr *Fn, NamedDecl *NDecl,
SourceLocation LParenLoc,
ArrayRef<Expr *> Arg,
SourceLocation RParenLoc,
Expr *Config = nullptr,
bool IsExecConfig = false);
ExprResult ActOnCUDAExecConfigExpr(Scope *S, SourceLocation LLLLoc,
MultiExprArg ExecConfig,
SourceLocation GGGLoc);
ExprResult ActOnCastExpr(Scope *S, SourceLocation LParenLoc,
Declarator &D, ParsedType &Ty,
SourceLocation RParenLoc, Expr *CastExpr);
ExprResult BuildCStyleCastExpr(SourceLocation LParenLoc,
TypeSourceInfo *Ty,
SourceLocation RParenLoc,
Expr *Op);
CastKind PrepareScalarCast(ExprResult &src, QualType destType);
/// \brief Build an altivec or OpenCL literal.
ExprResult BuildVectorLiteral(SourceLocation LParenLoc,
SourceLocation RParenLoc, Expr *E,
TypeSourceInfo *TInfo);
ExprResult MaybeConvertParenListExprToParenExpr(Scope *S, Expr *ME);
ExprResult ActOnCompoundLiteral(SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc,
Expr *InitExpr);
ExprResult BuildCompoundLiteralExpr(SourceLocation LParenLoc,
TypeSourceInfo *TInfo,
SourceLocation RParenLoc,
Expr *LiteralExpr);
ExprResult ActOnInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult ActOnDesignatedInitializer(Designation &Desig,
SourceLocation Loc,
bool GNUSyntax,
ExprResult Init);
private:
static BinaryOperatorKind ConvertTokenKindToBinaryOpcode(tok::TokenKind Kind);
public:
ExprResult ActOnBinOp(Scope *S, SourceLocation TokLoc,
tok::TokenKind Kind, Expr *LHSExpr, Expr *RHSExpr);
ExprResult BuildBinOp(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opc, Expr *LHSExpr, Expr *RHSExpr);
ExprResult CreateBuiltinBinOp(SourceLocation OpLoc, BinaryOperatorKind Opc,
Expr *LHSExpr, Expr *RHSExpr);
/// ActOnConditionalOp - Parse a ?: operation. Note that 'LHS' may be null
/// in the case of a the GNU conditional expr extension.
ExprResult ActOnConditionalOp(SourceLocation QuestionLoc,
SourceLocation ColonLoc,
Expr *CondExpr, Expr *LHSExpr, Expr *RHSExpr);
/// ActOnAddrLabel - Parse the GNU address of label extension: "&&foo".
ExprResult ActOnAddrLabel(SourceLocation OpLoc, SourceLocation LabLoc,
LabelDecl *TheDecl);
void ActOnStartStmtExpr();
ExprResult ActOnStmtExpr(SourceLocation LPLoc, Stmt *SubStmt,
SourceLocation RPLoc); // "({..})"
void ActOnStmtExprError();
// __builtin_offsetof(type, identifier(.identifier|[expr])*)
struct OffsetOfComponent {
SourceLocation LocStart, LocEnd;
bool isBrackets; // true if [expr], false if .ident
union {
IdentifierInfo *IdentInfo;
Expr *E;
} U;
};
/// __builtin_offsetof(type, a.b[123][456].c)
ExprResult BuildBuiltinOffsetOf(SourceLocation BuiltinLoc,
TypeSourceInfo *TInfo,
OffsetOfComponent *CompPtr,
unsigned NumComponents,
SourceLocation RParenLoc);
ExprResult ActOnBuiltinOffsetOf(Scope *S,
SourceLocation BuiltinLoc,
SourceLocation TypeLoc,
ParsedType ParsedArgTy,
OffsetOfComponent *CompPtr,
unsigned NumComponents,
SourceLocation RParenLoc);
// __builtin_choose_expr(constExpr, expr1, expr2)
ExprResult ActOnChooseExpr(SourceLocation BuiltinLoc,
Expr *CondExpr, Expr *LHSExpr,
Expr *RHSExpr, SourceLocation RPLoc);
// __builtin_va_arg(expr, type)
ExprResult ActOnVAArg(SourceLocation BuiltinLoc, Expr *E, ParsedType Ty,
SourceLocation RPLoc);
ExprResult BuildVAArgExpr(SourceLocation BuiltinLoc, Expr *E,
TypeSourceInfo *TInfo, SourceLocation RPLoc);
// __null
ExprResult ActOnGNUNullExpr(SourceLocation TokenLoc);
bool CheckCaseExpression(Expr *E);
/// \brief Describes the result of an "if-exists" condition check.
enum IfExistsResult {
/// \brief The symbol exists.
IER_Exists,
/// \brief The symbol does not exist.
IER_DoesNotExist,
/// \brief The name is a dependent name, so the results will differ
/// from one instantiation to the next.
IER_Dependent,
/// \brief An error occurred.
IER_Error
};
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, CXXScopeSpec &SS,
const DeclarationNameInfo &TargetNameInfo);
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, SourceLocation KeywordLoc,
bool IsIfExists, CXXScopeSpec &SS,
UnqualifiedId &Name);
StmtResult BuildMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
NestedNameSpecifierLoc QualifierLoc,
DeclarationNameInfo NameInfo,
Stmt *Nested);
StmtResult ActOnMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
CXXScopeSpec &SS, UnqualifiedId &Name,
Stmt *Nested);
//===------------------------- "Block" Extension ------------------------===//
/// ActOnBlockStart - This callback is invoked when a block literal is
/// started.
void ActOnBlockStart(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockArguments - This callback allows processing of block arguments.
/// If there are no arguments, this is still invoked.
void ActOnBlockArguments(SourceLocation CaretLoc, Declarator &ParamInfo,
Scope *CurScope);
/// ActOnBlockError - If there is an error parsing a block, this callback
/// is invoked to pop the information about the block from the action impl.
void ActOnBlockError(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockStmtExpr - This is called when the body of a block statement
/// literal was successfully completed. ^(int x){...}
ExprResult ActOnBlockStmtExpr(SourceLocation CaretLoc, Stmt *Body,
Scope *CurScope);
//===---------------------------- Clang Extensions ----------------------===//
/// __builtin_convertvector(...)
ExprResult ActOnConvertVectorExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- OpenCL Features -----------------------===//
/// __builtin_astype(...)
ExprResult ActOnAsTypeExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
// HLSL Change Starts
//===---------------------------- HLSL Features -------------------------===//
/// cbuffer/tbuffer
llvm::SmallVector<Decl*, 1> HLSLBuffers;
Decl* ActOnStartHLSLBuffer(Scope* bufferScope, bool cbuffer, SourceLocation KwLoc,
IdentifierInfo *Ident, SourceLocation IdentLoc,
std::vector<hlsl::UnusualAnnotation *>& BufferAttributes,
SourceLocation LBrace);
void ActOnFinishHLSLBuffer(Decl *Dcl, SourceLocation RBrace);
Decl* getActiveHLSLBuffer() const;
void ActOnStartHLSLBufferView();
bool IsOnHLSLBufferView();
Decl *ActOnHLSLBufferView(Scope *bufferScope, SourceLocation KwLoc,
DeclGroupPtrTy &dcl, bool iscbuf);
// HLSL Change Ends
//===---------------------------- C++ Features --------------------------===//
// Act on C++ namespaces
Decl *ActOnStartNamespaceDef(Scope *S, SourceLocation InlineLoc,
SourceLocation NamespaceLoc,
SourceLocation IdentLoc,
IdentifierInfo *Ident,
SourceLocation LBrace,
AttributeList *AttrList);
void ActOnFinishNamespaceDef(Decl *Dcl, SourceLocation RBrace);
NamespaceDecl *getStdNamespace() const;
NamespaceDecl *getOrCreateStdNamespace();
CXXRecordDecl *getStdBadAlloc() const;
/// \brief Tests whether Ty is an instance of std::initializer_list and, if
/// it is and Element is not NULL, assigns the element type to Element.
bool isStdInitializerList(QualType Ty, QualType *Element);
/// \brief Looks for the std::initializer_list template and instantiates it
/// with Element, or emits an error if it's not found.
///
/// \returns The instantiated template, or null on error.
QualType BuildStdInitializerList(QualType Element, SourceLocation Loc);
/// \brief Determine whether Ctor is an initializer-list constructor, as
/// defined in [dcl.init.list]p2.
bool isInitListConstructor(const CXXConstructorDecl *Ctor);
Decl *ActOnUsingDirective(Scope *CurScope,
SourceLocation UsingLoc,
SourceLocation NamespcLoc,
CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *NamespcName,
AttributeList *AttrList);
void PushUsingDirective(Scope *S, UsingDirectiveDecl *UDir);
Decl *ActOnNamespaceAliasDef(Scope *CurScope,
SourceLocation NamespaceLoc,
SourceLocation AliasLoc,
IdentifierInfo *Alias,
CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *Ident);
void HideUsingShadowDecl(Scope *S, UsingShadowDecl *Shadow);
bool CheckUsingShadowDecl(UsingDecl *UD, NamedDecl *Target,
const LookupResult &PreviousDecls,
UsingShadowDecl *&PrevShadow);
UsingShadowDecl *BuildUsingShadowDecl(Scope *S, UsingDecl *UD,
NamedDecl *Target,
UsingShadowDecl *PrevDecl);
bool CheckUsingDeclRedeclaration(SourceLocation UsingLoc,
bool HasTypenameKeyword,
const CXXScopeSpec &SS,
SourceLocation NameLoc,
const LookupResult &Previous);
bool CheckUsingDeclQualifier(SourceLocation UsingLoc,
const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
SourceLocation NameLoc);
NamedDecl *BuildUsingDeclaration(Scope *S, AccessSpecifier AS,
SourceLocation UsingLoc,
CXXScopeSpec &SS,
DeclarationNameInfo NameInfo,
AttributeList *AttrList,
bool IsInstantiation,
bool HasTypenameKeyword,
SourceLocation TypenameLoc);
bool CheckInheritingConstructorUsingDecl(UsingDecl *UD);
Decl *ActOnUsingDeclaration(Scope *CurScope,
AccessSpecifier AS,
bool HasUsingKeyword,
SourceLocation UsingLoc,
CXXScopeSpec &SS,
UnqualifiedId &Name,
AttributeList *AttrList,
bool HasTypenameKeyword,
SourceLocation TypenameLoc);
Decl *ActOnAliasDeclaration(Scope *CurScope,
AccessSpecifier AS,
MultiTemplateParamsArg TemplateParams,
SourceLocation UsingLoc,
UnqualifiedId &Name,
AttributeList *AttrList,
TypeResult Type,
Decl *DeclFromDeclSpec);
/// BuildCXXConstructExpr - Creates a complete call to a constructor,
/// including handling of its default argument expressions.
///
/// \param ConstructKind - a CXXConstructExpr::ConstructionKind
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
CXXConstructorDecl *Constructor, MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
// FIXME: Can we remove this and have the above BuildCXXConstructExpr check if
// the constructor can be elidable?
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs, bool HadMultipleCandidates,
bool IsListInitialization,
bool IsStdInitListInitialization, bool RequiresZeroInit,
unsigned ConstructKind, SourceRange ParenRange);
ExprResult BuildCXXDefaultInitExpr(SourceLocation Loc, FieldDecl *Field);
/// BuildCXXDefaultArgExpr - Creates a CXXDefaultArgExpr, instantiating
/// the default expr if needed.
ExprResult BuildCXXDefaultArgExpr(SourceLocation CallLoc,
FunctionDecl *FD,
ParmVarDecl *Param);
/// FinalizeVarWithDestructor - Prepare for calling destructor on the
/// constructed variable.
void FinalizeVarWithDestructor(VarDecl *VD, const RecordType *DeclInitType);
/// \brief Helper class that collects exception specifications for
/// implicitly-declared special member functions.
class ImplicitExceptionSpecification {
// Pointer to allow copying
Sema *Self;
// We order exception specifications thus:
// noexcept is the most restrictive, but is only used in C++11.
// throw() comes next.
// Then a throw(collected exceptions)
// Finally no specification, which is expressed as noexcept(false).
// throw(...) is used instead if any called function uses it.
ExceptionSpecificationType ComputedEST;
llvm::SmallPtrSet<CanQualType, 4> ExceptionsSeen;
SmallVector<QualType, 4> Exceptions;
void ClearExceptions() {
ExceptionsSeen.clear();
Exceptions.clear();
}
public:
explicit ImplicitExceptionSpecification(Sema &Self)
: Self(&Self), ComputedEST(EST_BasicNoexcept) {
if (!Self.getLangOpts().CPlusPlus11)
ComputedEST = EST_DynamicNone;
}
/// \brief Get the computed exception specification type.
ExceptionSpecificationType getExceptionSpecType() const {
assert(ComputedEST != EST_ComputedNoexcept &&
"noexcept(expr) should not be a possible result");
return ComputedEST;
}
/// \brief The number of exceptions in the exception specification.
unsigned size() const { return Exceptions.size(); }
/// \brief The set of exceptions in the exception specification.
const QualType *data() const { return Exceptions.data(); }
/// \brief Integrate another called method into the collected data.
void CalledDecl(SourceLocation CallLoc, const CXXMethodDecl *Method);
/// \brief Integrate an invoked expression into the collected data.
void CalledExpr(Expr *E);
/// \brief Overwrite an EPI's exception specification with this
/// computed exception specification.
FunctionProtoType::ExceptionSpecInfo getExceptionSpec() const {
FunctionProtoType::ExceptionSpecInfo ESI;
ESI.Type = getExceptionSpecType();
if (ESI.Type == EST_Dynamic) {
ESI.Exceptions = Exceptions;
} else if (ESI.Type == EST_None) {
/// C++11 [except.spec]p14:
/// The exception-specification is noexcept(false) if the set of
/// potential exceptions of the special member function contains "any"
ESI.Type = EST_ComputedNoexcept;
ESI.NoexceptExpr = Self->ActOnCXXBoolLiteral(SourceLocation(),
tok::kw_false).get();
}
return ESI;
}
};
/// \brief Determine what sort of exception specification a defaulted
/// copy constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDefaultCtorExceptionSpec(SourceLocation Loc,
CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defaulted
/// default constructor of a class will have, and whether the parameter
/// will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyCtorExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defautled
/// copy assignment operator of a class will have, and whether the
/// parameter will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyAssignmentExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defaulted move
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveCtorExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defaulted move
/// assignment operator of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveAssignmentExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification a defaulted
/// destructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDtorExceptionSpec(CXXMethodDecl *MD);
/// \brief Determine what sort of exception specification an inheriting
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeInheritingCtorExceptionSpec(CXXConstructorDecl *CD);
/// \brief Evaluate the implicit exception specification for a defaulted
/// special member function.
void EvaluateImplicitExceptionSpec(SourceLocation Loc, CXXMethodDecl *MD);
/// \brief Check the given exception-specification and update the
/// exception specification information with the results.
void checkExceptionSpecification(bool IsTopLevel,
ExceptionSpecificationType EST,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr,
SmallVectorImpl<QualType> &Exceptions,
FunctionProtoType::ExceptionSpecInfo &ESI);
/// \brief Determine if we're in a case where we need to (incorrectly) eagerly
/// parse an exception specification to work around a libstdc++ bug.
bool isLibstdcxxEagerExceptionSpecHack(const Declarator &D);
/// \brief Add an exception-specification to the given member function
/// (or member function template). The exception-specification was parsed
/// after the method itself was declared.
void actOnDelayedExceptionSpecification(Decl *Method,
ExceptionSpecificationType EST,
SourceRange SpecificationRange,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr);
/// \brief Determine if a special member function should have a deleted
/// definition when it is defaulted.
bool ShouldDeleteSpecialMember(CXXMethodDecl *MD, CXXSpecialMember CSM,
bool Diagnose = false);
/// \brief Declare the implicit default constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// default constructor will be added.
///
/// \returns The implicitly-declared default constructor.
CXXConstructorDecl *DeclareImplicitDefaultConstructor(
CXXRecordDecl *ClassDecl);
/// DefineImplicitDefaultConstructor - Checks for feasibility of
/// defining this constructor as the default constructor.
void DefineImplicitDefaultConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// \brief Declare the implicit destructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// destructor will be added.
///
/// \returns The implicitly-declared destructor.
CXXDestructorDecl *DeclareImplicitDestructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitDestructor - Checks for feasibility of
/// defining this destructor as the default destructor.
void DefineImplicitDestructor(SourceLocation CurrentLocation,
CXXDestructorDecl *Destructor);
/// \brief Build an exception spec for destructors that don't have one.
///
/// C++11 says that user-defined destructors with no exception spec get one
/// that looks as if the destructor was implicitly declared.
void AdjustDestructorExceptionSpec(CXXRecordDecl *ClassDecl,
CXXDestructorDecl *Destructor);
/// \brief Declare all inheriting constructors for the given class.
///
/// \param ClassDecl The class declaration into which the inheriting
/// constructors will be added.
void DeclareInheritingConstructors(CXXRecordDecl *ClassDecl);
/// \brief Define the specified inheriting constructor.
void DefineInheritingConstructor(SourceLocation UseLoc,
CXXConstructorDecl *Constructor);
/// \brief Declare the implicit copy constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy constructor will be added.
///
/// \returns The implicitly-declared copy constructor.
CXXConstructorDecl *DeclareImplicitCopyConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitCopyConstructor - Checks for feasibility of
/// defining this constructor as the copy constructor.
void DefineImplicitCopyConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// \brief Declare the implicit move constructor for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move constructor will be added.
///
/// \returns The implicitly-declared move constructor, or NULL if it wasn't
/// declared.
CXXConstructorDecl *DeclareImplicitMoveConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitMoveConstructor - Checks for feasibility of
/// defining this constructor as the move constructor.
void DefineImplicitMoveConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// \brief Declare the implicit copy assignment operator for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy assignment operator will be added.
///
/// \returns The implicitly-declared copy assignment operator.
CXXMethodDecl *DeclareImplicitCopyAssignment(CXXRecordDecl *ClassDecl);
/// \brief Defines an implicitly-declared copy assignment operator.
void DefineImplicitCopyAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// \brief Declare the implicit move assignment operator for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move assignment operator will be added.
///
/// \returns The implicitly-declared move assignment operator, or NULL if it
/// wasn't declared.
CXXMethodDecl *DeclareImplicitMoveAssignment(CXXRecordDecl *ClassDecl);
/// \brief Defines an implicitly-declared move assignment operator.
void DefineImplicitMoveAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// \brief Force the declaration of any implicitly-declared members of this
/// class.
void ForceDeclarationOfImplicitMembers(CXXRecordDecl *Class);
/// \brief Determine whether the given function is an implicitly-deleted
/// special member function.
bool isImplicitlyDeleted(FunctionDecl *FD);
/// \brief Check whether 'this' shows up in the type of a static member
/// function after the (naturally empty) cv-qualifier-seq would be.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionType(CXXMethodDecl *Method);
/// \brief Whether this' shows up in the exception specification of a static
/// member function.
bool checkThisInStaticMemberFunctionExceptionSpec(CXXMethodDecl *Method);
/// \brief Check whether 'this' shows up in the attributes of the given
/// static member function.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionAttributes(CXXMethodDecl *Method);
/// MaybeBindToTemporary - If the passed in expression has a record type with
/// a non-trivial destructor, this will return CXXBindTemporaryExpr. Otherwise
/// it simply returns the passed in expression.
ExprResult MaybeBindToTemporary(Expr *E);
bool CompleteConstructorCall(CXXConstructorDecl *Constructor,
MultiExprArg ArgsPtr,
SourceLocation Loc,
SmallVectorImpl<Expr*> &ConvertedArgs,
bool AllowExplicit = false,
bool IsListInitialization = false);
ParsedType getInheritingConstructorName(CXXScopeSpec &SS,
SourceLocation NameLoc,
IdentifierInfo &Name);
ParsedType getDestructorName(SourceLocation TildeLoc,
IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
ParsedType ObjectType,
bool EnteringContext);
ParsedType getDestructorType(const DeclSpec& DS, ParsedType ObjectType);
// Checks that reinterpret casts don't have undefined behavior.
void CheckCompatibleReinterpretCast(QualType SrcType, QualType DestType,
bool IsDereference, SourceRange Range);
/// ActOnCXXNamedCast - Parse {dynamic,static,reinterpret,const}_cast's.
ExprResult ActOnCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
SourceLocation LAngleBracketLoc,
Declarator &D,
SourceLocation RAngleBracketLoc,
SourceLocation LParenLoc,
Expr *E,
SourceLocation RParenLoc);
ExprResult BuildCXXNamedCast(SourceLocation OpLoc,
tok::TokenKind Kind,
TypeSourceInfo *Ty,
Expr *E,
SourceRange AngleBrackets,
SourceRange Parens);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXTypeid - Parse typeid( something ).
ExprResult ActOnCXXTypeid(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXUuidof - Parse __uuidof( something ).
ExprResult ActOnCXXUuidof(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
/// \brief Handle a C++1z fold-expression: ( expr op ... op expr ).
ExprResult ActOnCXXFoldExpr(SourceLocation LParenLoc, Expr *LHS,
tok::TokenKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildCXXFoldExpr(SourceLocation LParenLoc, Expr *LHS,
BinaryOperatorKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildEmptyCXXFoldExpr(SourceLocation EllipsisLoc,
BinaryOperatorKind Operator);
//// ActOnCXXThis - Parse 'this' pointer.
ExprResult ActOnCXXThis(SourceLocation loc);
/// \brief Try to retrieve the type of the 'this' pointer.
///
/// \returns The type of 'this', if possible. Otherwise, returns a NULL type.
QualType getCurrentThisType();
/// \brief When non-NULL, the C++ 'this' expression is allowed despite the
/// current context not being a non-static member function. In such cases,
/// this provides the type used for 'this'.
QualType CXXThisTypeOverride;
/// \brief RAII object used to temporarily allow the C++ 'this' expression
/// to be used, with the given qualifiers on the current class type.
class CXXThisScopeRAII {
Sema &S;
QualType OldCXXThisTypeOverride;
bool Enabled;
public:
/// \brief Introduce a new scope where 'this' may be allowed (when enabled),
/// using the given declaration (which is either a class template or a
/// class) along with the given qualifiers.
/// along with the qualifiers placed on '*this'.
CXXThisScopeRAII(Sema &S, Decl *ContextDecl, unsigned CXXThisTypeQuals,
bool Enabled = true);
~CXXThisScopeRAII();
};
/// \brief Make sure the value of 'this' is actually available in the current
/// context, if it is a potentially evaluated context.
///
/// \param Loc The location at which the capture of 'this' occurs.
///
/// \param Explicit Whether 'this' is explicitly captured in a lambda
/// capture list.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// 'this' that may or may not be used in certain specializations of
/// a nested generic lambda (depending on whether the name resolves to
/// a non-static member function or a static function).
/// \return returns 'true' if failed, 'false' if success.
bool CheckCXXThisCapture(SourceLocation Loc, bool Explicit = false,
bool BuildAndDiagnose = true,
const unsigned *const FunctionScopeIndexToStopAt = nullptr);
/// \brief Determine whether the given type is the type of *this that is used
/// outside of the body of a member function for a type that is currently
/// being defined.
bool isThisOutsideMemberFunctionBody(QualType BaseType);
/// ActOnCXXBoolLiteral - Parse {true,false} literals.
ExprResult ActOnCXXBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
/// ActOnObjCBoolLiteral - Parse {__objc_yes,__objc_no} literals.
ExprResult ActOnObjCBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
/// ActOnCXXNullPtrLiteral - Parse 'nullptr'.
ExprResult ActOnCXXNullPtrLiteral(SourceLocation Loc);
//// ActOnCXXThrow - Parse throw expressions.
ExprResult ActOnCXXThrow(Scope *S, SourceLocation OpLoc, Expr *expr);
ExprResult BuildCXXThrow(SourceLocation OpLoc, Expr *Ex,
bool IsThrownVarInScope);
bool CheckCXXThrowOperand(SourceLocation ThrowLoc, QualType ThrowTy, Expr *E);
/// ActOnCXXTypeConstructExpr - Parse construction of a specified type.
/// Can be interpreted either as function-style casting ("int(x)")
/// or class type construction ("ClassType(x,y,z)")
/// or creation of a value-initialized type ("int()").
ExprResult ActOnCXXTypeConstructExpr(ParsedType TypeRep,
SourceLocation LParenLoc,
MultiExprArg Exprs,
SourceLocation RParenLoc);
ExprResult BuildCXXTypeConstructExpr(TypeSourceInfo *Type,
SourceLocation LParenLoc,
MultiExprArg Exprs,
SourceLocation RParenLoc);
/// ActOnCXXNew - Parsed a C++ 'new' expression.
ExprResult ActOnCXXNew(SourceLocation StartLoc, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens, Declarator &D,
Expr *Initializer);
ExprResult BuildCXXNew(SourceRange Range, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens,
QualType AllocType,
TypeSourceInfo *AllocTypeInfo,
Expr *ArraySize,
SourceRange DirectInitRange,
Expr *Initializer,
bool TypeMayContainAuto = true);
bool CheckAllocatedType(QualType AllocType, SourceLocation Loc,
SourceRange R);
bool FindAllocationFunctions(SourceLocation StartLoc, SourceRange Range,
bool UseGlobal, QualType AllocType, bool IsArray,
MultiExprArg PlaceArgs,
FunctionDecl *&OperatorNew,
FunctionDecl *&OperatorDelete);
bool FindAllocationOverload(SourceLocation StartLoc, SourceRange Range,
DeclarationName Name, MultiExprArg Args,
DeclContext *Ctx,
bool AllowMissing, FunctionDecl *&Operator,
bool Diagnose = true);
void DeclareGlobalNewDelete();
void DeclareGlobalAllocationFunction(DeclarationName Name, QualType Return,
QualType Param1,
QualType Param2 = QualType(),
bool addRestrictAttr = false);
bool FindDeallocationFunction(SourceLocation StartLoc, CXXRecordDecl *RD,
DeclarationName Name, FunctionDecl* &Operator,
bool Diagnose = true);
FunctionDecl *FindUsualDeallocationFunction(SourceLocation StartLoc,
bool CanProvideSize,
DeclarationName Name);
/// ActOnCXXDelete - Parsed a C++ 'delete' expression
ExprResult ActOnCXXDelete(SourceLocation StartLoc,
bool UseGlobal, bool ArrayForm,
Expr *Operand);
DeclResult ActOnCXXConditionDeclaration(Scope *S, Declarator &D);
ExprResult CheckConditionVariable(VarDecl *ConditionVar,
SourceLocation StmtLoc,
bool ConvertToBoolean);
ExprResult ActOnNoexceptExpr(SourceLocation KeyLoc, SourceLocation LParen,
Expr *Operand, SourceLocation RParen);
ExprResult BuildCXXNoexceptExpr(SourceLocation KeyLoc, Expr *Operand,
SourceLocation RParen);
/// \brief Parsed one of the type trait support pseudo-functions.
ExprResult ActOnTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<ParsedType> Args,
SourceLocation RParenLoc);
ExprResult BuildTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<TypeSourceInfo *> Args,
SourceLocation RParenLoc);
/// ActOnArrayTypeTrait - Parsed one of the bianry type trait support
/// pseudo-functions.
ExprResult ActOnArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
ParsedType LhsTy,
Expr *DimExpr,
SourceLocation RParen);
ExprResult BuildArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
TypeSourceInfo *TSInfo,
Expr *DimExpr,
SourceLocation RParen);
/// ActOnExpressionTrait - Parsed one of the unary type trait support
/// pseudo-functions.
ExprResult ActOnExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult BuildExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult ActOnStartCXXMemberReference(Scope *S,
Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
ParsedType &ObjectType,
bool &MayBePseudoDestructor);
ExprResult BuildPseudoDestructorExpr(Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
const CXXScopeSpec &SS,
TypeSourceInfo *ScopeType,
SourceLocation CCLoc,
SourceLocation TildeLoc,
PseudoDestructorTypeStorage DestroyedType);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
UnqualifiedId &FirstTypeName,
SourceLocation CCLoc,
SourceLocation TildeLoc,
UnqualifiedId &SecondTypeName);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
SourceLocation TildeLoc,
const DeclSpec& DS);
/// MaybeCreateExprWithCleanups - If the current full-expression
/// requires any cleanups, surround it with a ExprWithCleanups node.
/// Otherwise, just returns the passed-in expression.
Expr *MaybeCreateExprWithCleanups(Expr *SubExpr);
Stmt *MaybeCreateStmtWithCleanups(Stmt *SubStmt);
ExprResult MaybeCreateExprWithCleanups(ExprResult SubExpr);
ExprResult ActOnFinishFullExpr(Expr *Expr) {
return ActOnFinishFullExpr(Expr, Expr ? Expr->getExprLoc()
: SourceLocation());
}
ExprResult ActOnFinishFullExpr(Expr *Expr, SourceLocation CC,
bool DiscardedValue = false,
bool IsConstexpr = false,
bool IsLambdaInitCaptureInitializer = false);
StmtResult ActOnFinishFullStmt(Stmt *Stmt);
// Marks SS invalid if it represents an incomplete type.
bool RequireCompleteDeclContext(CXXScopeSpec &SS, DeclContext *DC);
DeclContext *computeDeclContext(QualType T);
DeclContext *computeDeclContext(const CXXScopeSpec &SS,
bool EnteringContext = false);
bool isDependentScopeSpecifier(const CXXScopeSpec &SS);
CXXRecordDecl *getCurrentInstantiationOf(NestedNameSpecifier *NNS);
/// \brief The parser has parsed a global nested-name-specifier '::'.
///
/// \param CCLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXGlobalScopeSpecifier(SourceLocation CCLoc, CXXScopeSpec &SS);
/// \brief The parser has parsed a '__super' nested-name-specifier.
///
/// \param SuperLoc The location of the '__super' keyword.
///
/// \param ColonColonLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnSuperScopeSpecifier(SourceLocation SuperLoc,
SourceLocation ColonColonLoc, CXXScopeSpec &SS);
bool isAcceptableNestedNameSpecifier(const NamedDecl *SD,
bool *CanCorrect = nullptr);
NamedDecl *FindFirstQualifierInScope(Scope *S, NestedNameSpecifier *NNS);
bool isNonTypeNestedNameSpecifier(Scope *S, CXXScopeSpec &SS,
SourceLocation IdLoc,
IdentifierInfo &II,
ParsedType ObjectType);
bool BuildCXXNestedNameSpecifier(Scope *S,
IdentifierInfo &Identifier,
SourceLocation IdentifierLoc,
SourceLocation CCLoc,
QualType ObjectType,
bool EnteringContext,
CXXScopeSpec &SS,
NamedDecl *ScopeLookupResult,
bool ErrorRecoveryLookup,
bool *IsCorrectedToColon = nullptr);
/// \brief The parser has parsed a nested-name-specifier 'identifier::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param Identifier The identifier preceding the '::'.
///
/// \param IdentifierLoc The location of the identifier.
///
/// \param CCLoc The location of the '::'.
///
/// \param ObjectType The type of the object, if we're parsing
/// nested-name-specifier in a member access expression.
///
/// \param EnteringContext Whether we're entering the context nominated by
/// this nested-name-specifier.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param ErrorRecoveryLookup If true, then this method is called to improve
/// error recovery. In this case do not emit error message.
///
/// \param IsCorrectedToColon If not null, suggestions to replace '::' -> ':'
/// are allowed. The bool value pointed by this parameter is set to 'true'
/// if the identifier is treated as if it was followed by ':', not '::'.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
IdentifierInfo &Identifier,
SourceLocation IdentifierLoc,
SourceLocation CCLoc,
ParsedType ObjectType,
bool EnteringContext,
CXXScopeSpec &SS,
bool ErrorRecoveryLookup = false,
bool *IsCorrectedToColon = nullptr);
ExprResult ActOnDecltypeExpression(Expr *E);
bool ActOnCXXNestedNameSpecifierDecltype(CXXScopeSpec &SS,
const DeclSpec &DS,
SourceLocation ColonColonLoc);
bool IsInvalidUnlessNestedName(Scope *S, CXXScopeSpec &SS,
IdentifierInfo &Identifier,
SourceLocation IdentifierLoc,
SourceLocation ColonLoc,
ParsedType ObjectType,
bool EnteringContext);
/// \brief The parser has parsed a nested-name-specifier
/// 'template[opt] template-name < template-args >::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param TemplateKWLoc the location of the 'template' keyword, if any.
/// \param TemplateName the template name.
/// \param TemplateNameLoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
/// \param CCLoc The location of the '::'.
///
/// \param EnteringContext Whether we're entering the context of the
/// nested-name-specifier.
///
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateName,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
SourceLocation CCLoc,
bool EnteringContext);
/// \brief Given a C++ nested-name-specifier, produce an annotation value
/// that the parser can use later to reconstruct the given
/// nested-name-specifier.
///
/// \param SS A nested-name-specifier.
///
/// \returns A pointer containing all of the information in the
/// nested-name-specifier \p SS.
void *SaveNestedNameSpecifierAnnotation(CXXScopeSpec &SS);
/// \brief Given an annotation pointer for a nested-name-specifier, restore
/// the nested-name-specifier structure.
///
/// \param Annotation The annotation pointer, produced by
/// \c SaveNestedNameSpecifierAnnotation().
///
/// \param AnnotationRange The source range corresponding to the annotation.
///
/// \param SS The nested-name-specifier that will be updated with the contents
/// of the annotation pointer.
void RestoreNestedNameSpecifierAnnotation(void *Annotation,
SourceRange AnnotationRange,
CXXScopeSpec &SS);
bool ShouldEnterDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclaratorScope - Called when a C++ scope specifier (global
/// scope or nested-name-specifier) is parsed, part of a declarator-id.
/// After this method is called, according to [C++ 3.4.3p3], names should be
/// looked up in the declarator-id's scope, until the declarator is parsed and
/// ActOnCXXExitDeclaratorScope is called.
/// The 'SS' should be a non-empty valid CXXScopeSpec.
bool ActOnCXXEnterDeclaratorScope(Scope *S, CXXScopeSpec &SS);
/// ActOnCXXExitDeclaratorScope - Called when a declarator that previously
/// invoked ActOnCXXEnterDeclaratorScope(), is finished. 'SS' is the same
/// CXXScopeSpec that was passed to ActOnCXXEnterDeclaratorScope as well.
/// Used to indicate that names should revert to being looked up in the
/// defining scope.
void ActOnCXXExitDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclInitializer - Invoked when we are about to parse an
/// initializer for the declaration 'Dcl'.
/// After this method is called, according to [C++ 3.4.1p13], if 'Dcl' is a
/// static data member of class X, names should be looked up in the scope of
/// class X.
void ActOnCXXEnterDeclInitializer(Scope *S, Decl *Dcl);
/// ActOnCXXExitDeclInitializer - Invoked after we are finished parsing an
/// initializer for the declaration 'Dcl'.
void ActOnCXXExitDeclInitializer(Scope *S, Decl *Dcl);
/// \brief Create a new lambda closure type.
CXXRecordDecl *createLambdaClosureType(SourceRange IntroducerRange,
TypeSourceInfo *Info,
bool KnownDependent,
LambdaCaptureDefault CaptureDefault);
/// \brief Start the definition of a lambda expression.
CXXMethodDecl *startLambdaDefinition(CXXRecordDecl *Class,
SourceRange IntroducerRange,
TypeSourceInfo *MethodType,
SourceLocation EndLoc,
ArrayRef<ParmVarDecl *> Params);
/// \brief Endow the lambda scope info with the relevant properties.
void buildLambdaScope(sema::LambdaScopeInfo *LSI,
CXXMethodDecl *CallOperator,
SourceRange IntroducerRange,
LambdaCaptureDefault CaptureDefault,
SourceLocation CaptureDefaultLoc,
bool ExplicitParams,
bool ExplicitResultType,
bool Mutable);
/// \brief Perform initialization analysis of the init-capture and perform
/// any implicit conversions such as an lvalue-to-rvalue conversion if
/// not being used to initialize a reference.
QualType performLambdaInitCaptureInitialization(SourceLocation Loc,
bool ByRef, IdentifierInfo *Id, Expr *&Init);
/// \brief Create a dummy variable within the declcontext of the lambda's
/// call operator, for name lookup purposes for a lambda init capture.
///
/// CodeGen handles emission of lambda captures, ignoring these dummy
/// variables appropriately.
VarDecl *createLambdaInitCaptureVarDecl(SourceLocation Loc,
QualType InitCaptureType, IdentifierInfo *Id, Expr *Init);
/// \brief Build the implicit field for an init-capture.
FieldDecl *buildInitCaptureField(sema::LambdaScopeInfo *LSI, VarDecl *Var);
/// \brief Note that we have finished the explicit captures for the
/// given lambda.
void finishLambdaExplicitCaptures(sema::LambdaScopeInfo *LSI);
/// \brief Introduce the lambda parameters into scope.
void addLambdaParameters(CXXMethodDecl *CallOperator, Scope *CurScope);
/// \brief Deduce a block or lambda's return type based on the return
/// statements present in the body.
void deduceClosureReturnType(sema::CapturingScopeInfo &CSI);
/// ActOnStartOfLambdaDefinition - This is called just before we start
/// parsing the body of a lambda; it analyzes the explicit captures and
/// arguments, and sets up various data-structures for the body of the
/// lambda.
void ActOnStartOfLambdaDefinition(LambdaIntroducer &Intro,
Declarator &ParamInfo, Scope *CurScope);
/// ActOnLambdaError - If there is an error parsing a lambda, this callback
/// is invoked to pop the information about the lambda.
void ActOnLambdaError(SourceLocation StartLoc, Scope *CurScope,
bool IsInstantiation = false);
/// ActOnLambdaExpr - This is called when the body of a lambda expression
/// was successfully completed.
ExprResult ActOnLambdaExpr(SourceLocation StartLoc, Stmt *Body,
Scope *CurScope);
/// \brief Complete a lambda-expression having processed and attached the
/// lambda body.
ExprResult BuildLambdaExpr(SourceLocation StartLoc, SourceLocation EndLoc,
sema::LambdaScopeInfo *LSI);
/// \brief Define the "body" of the conversion from a lambda object to a
/// function pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToFunctionPointerConversion(
SourceLocation CurrentLoc, CXXConversionDecl *Conv);
/// \brief Define the "body" of the conversion from a lambda object to a
/// block pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToBlockPointerConversion(SourceLocation CurrentLoc,
CXXConversionDecl *Conv);
ExprResult BuildBlockForLambdaConversion(SourceLocation CurrentLocation,
SourceLocation ConvLocation,
CXXConversionDecl *Conv,
Expr *Src);
// ParseObjCStringLiteral - Parse Objective-C string literals.
ExprResult ParseObjCStringLiteral(SourceLocation *AtLocs,
Expr **Strings,
unsigned NumStrings);
ExprResult BuildObjCStringLiteral(SourceLocation AtLoc, StringLiteral *S);
/// BuildObjCNumericLiteral - builds an ObjCBoxedExpr AST node for the
/// numeric literal expression. Type of the expression will be "NSNumber *"
/// or "id" if NSNumber is unavailable.
ExprResult BuildObjCNumericLiteral(SourceLocation AtLoc, Expr *Number);
ExprResult ActOnObjCBoolLiteral(SourceLocation AtLoc, SourceLocation ValueLoc,
bool Value);
ExprResult BuildObjCArrayLiteral(SourceRange SR, MultiExprArg Elements);
/// BuildObjCBoxedExpr - builds an ObjCBoxedExpr AST node for the
/// '@' prefixed parenthesized expression. The type of the expression will
/// either be "NSNumber *", "NSString *" or "NSValue *" depending on the type
/// of ValueType, which is allowed to be a built-in numeric type, "char *",
/// "const char *" or C structure with attribute 'objc_boxable'.
ExprResult BuildObjCBoxedExpr(SourceRange SR, Expr *ValueExpr);
ExprResult BuildObjCSubscriptExpression(SourceLocation RB, Expr *BaseExpr,
Expr *IndexExpr,
ObjCMethodDecl *getterMethod,
ObjCMethodDecl *setterMethod);
ExprResult BuildObjCDictionaryLiteral(SourceRange SR,
ObjCDictionaryElement *Elements,
unsigned NumElements);
ExprResult BuildObjCEncodeExpression(SourceLocation AtLoc,
TypeSourceInfo *EncodedTypeInfo,
SourceLocation RParenLoc);
ExprResult BuildCXXMemberCallExpr(Expr *Exp, NamedDecl *FoundDecl,
CXXConversionDecl *Method,
bool HadMultipleCandidates);
ExprResult ParseObjCEncodeExpression(SourceLocation AtLoc,
SourceLocation EncodeLoc,
SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc);
/// ParseObjCSelectorExpression - Build selector expression for \@selector
ExprResult ParseObjCSelectorExpression(Selector Sel,
SourceLocation AtLoc,
SourceLocation SelLoc,
SourceLocation LParenLoc,
SourceLocation RParenLoc,
bool WarnMultipleSelectors);
/// ParseObjCProtocolExpression - Build protocol expression for \@protocol
ExprResult ParseObjCProtocolExpression(IdentifierInfo * ProtocolName,
SourceLocation AtLoc,
SourceLocation ProtoLoc,
SourceLocation LParenLoc,
SourceLocation ProtoIdLoc,
SourceLocation RParenLoc);
//===--------------------------------------------------------------------===//
// C++ Declarations
//
Decl *ActOnStartLinkageSpecification(Scope *S,
SourceLocation ExternLoc,
Expr *LangStr,
SourceLocation LBraceLoc);
Decl *ActOnFinishLinkageSpecification(Scope *S,
Decl *LinkageSpec,
SourceLocation RBraceLoc);
//===--------------------------------------------------------------------===//
// C++ Classes
//
bool isCurrentClassName(const IdentifierInfo &II, Scope *S,
const CXXScopeSpec *SS = nullptr);
bool isCurrentClassNameTypo(IdentifierInfo *&II, const CXXScopeSpec *SS);
bool ActOnAccessSpecifier(AccessSpecifier Access,
SourceLocation ASLoc,
SourceLocation ColonLoc,
AttributeList *Attrs = nullptr);
NamedDecl *ActOnCXXMemberDeclarator(Scope *S, AccessSpecifier AS,
Declarator &D,
MultiTemplateParamsArg TemplateParameterLists,
Expr *BitfieldWidth, const VirtSpecifiers &VS,
InClassInitStyle InitStyle);
void ActOnStartCXXInClassMemberInitializer();
void ActOnFinishCXXInClassMemberInitializer(Decl *VarDecl,
SourceLocation EqualLoc,
Expr *Init);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
SourceLocation LParenLoc,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
SourceLocation EllipsisLoc);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *InitList,
SourceLocation EllipsisLoc);
MemInitResult BuildMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *Init,
SourceLocation EllipsisLoc);
MemInitResult BuildMemberInitializer(ValueDecl *Member,
Expr *Init,
SourceLocation IdLoc);
MemInitResult BuildBaseInitializer(QualType BaseType,
TypeSourceInfo *BaseTInfo,
Expr *Init,
CXXRecordDecl *ClassDecl,
SourceLocation EllipsisLoc);
MemInitResult BuildDelegatingInitializer(TypeSourceInfo *TInfo,
Expr *Init,
CXXRecordDecl *ClassDecl);
bool SetDelegatingInitializer(CXXConstructorDecl *Constructor,
CXXCtorInitializer *Initializer);
bool SetCtorInitializers(CXXConstructorDecl *Constructor, bool AnyErrors,
ArrayRef<CXXCtorInitializer *> Initializers = None);
void SetIvarInitializers(ObjCImplementationDecl *ObjCImplementation);
/// MarkBaseAndMemberDestructorsReferenced - Given a record decl,
/// mark all the non-trivial destructors of its members and bases as
/// referenced.
void MarkBaseAndMemberDestructorsReferenced(SourceLocation Loc,
CXXRecordDecl *Record);
/// \brief The list of classes whose vtables have been used within
/// this translation unit, and the source locations at which the
/// first use occurred.
typedef std::pair<CXXRecordDecl*, SourceLocation> VTableUse;
/// \brief The list of vtables that are required but have not yet been
/// materialized.
SmallVector<VTableUse, 16> VTableUses;
/// \brief The set of classes whose vtables have been used within
/// this translation unit, and a bit that will be true if the vtable is
/// required to be emitted (otherwise, it should be emitted only if needed
/// by code generation).
llvm::DenseMap<CXXRecordDecl *, bool> VTablesUsed;
/// \brief Load any externally-stored vtable uses.
void LoadExternalVTableUses();
/// \brief Note that the vtable for the given class was used at the
/// given location.
void MarkVTableUsed(SourceLocation Loc, CXXRecordDecl *Class,
bool DefinitionRequired = false);
/// \brief Mark the exception specifications of all virtual member functions
/// in the given class as needed.
void MarkVirtualMemberExceptionSpecsNeeded(SourceLocation Loc,
const CXXRecordDecl *RD);
/// MarkVirtualMembersReferenced - Will mark all members of the given
/// CXXRecordDecl referenced.
void MarkVirtualMembersReferenced(SourceLocation Loc,
const CXXRecordDecl *RD);
/// \brief Define all of the vtables that have been used in this
/// translation unit and reference any virtual members used by those
/// vtables.
///
/// \returns true if any work was done, false otherwise.
bool DefineUsedVTables();
void AddImplicitlyDeclaredMembersToClass(CXXRecordDecl *ClassDecl);
void ActOnMemInitializers(Decl *ConstructorDecl,
SourceLocation ColonLoc,
ArrayRef<CXXCtorInitializer*> MemInits,
bool AnyErrors);
void checkClassLevelDLLAttribute(CXXRecordDecl *Class);
void propagateDLLAttrToBaseClassTemplate(
CXXRecordDecl *Class, Attr *ClassAttr,
ClassTemplateSpecializationDecl *BaseTemplateSpec,
SourceLocation BaseLoc);
void CheckCompletedCXXClass(CXXRecordDecl *Record);
void ActOnFinishCXXMemberSpecification(Scope* S, SourceLocation RLoc,
Decl *TagDecl,
SourceLocation LBrac,
SourceLocation RBrac,
AttributeList *AttrList);
void ActOnFinishCXXMemberDecls();
void ActOnFinishCXXMemberDefaultArgs(Decl *D);
void ActOnReenterCXXMethodParameter(Scope *S, ParmVarDecl *Param);
unsigned ActOnReenterTemplateScope(Scope *S, Decl *Template);
void ActOnStartDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnStartDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnDelayedCXXMethodParameter(Scope *S, Decl *Param);
void ActOnFinishDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnFinishDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnFinishDelayedMemberInitializers(Decl *Record);
void MarkAsLateParsedTemplate(FunctionDecl *FD, Decl *FnD,
CachedTokens &Toks);
void UnmarkAsLateParsedTemplate(FunctionDecl *FD);
bool IsInsideALocalClassWithinATemplateFunction();
Decl *ActOnStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
Expr *AssertMessageExpr,
SourceLocation RParenLoc);
Decl *BuildStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
StringLiteral *AssertMessageExpr,
SourceLocation RParenLoc,
bool Failed);
FriendDecl *CheckFriendTypeDecl(SourceLocation LocStart,
SourceLocation FriendLoc,
TypeSourceInfo *TSInfo);
Decl *ActOnFriendTypeDecl(Scope *S, const DeclSpec &DS,
MultiTemplateParamsArg TemplateParams);
NamedDecl *ActOnFriendFunctionDecl(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParams);
QualType CheckConstructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
void CheckConstructor(CXXConstructorDecl *Constructor);
QualType CheckDestructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
bool CheckDestructor(CXXDestructorDecl *Destructor);
void CheckConversionDeclarator(Declarator &D, QualType &R,
StorageClass& SC);
Decl *ActOnConversionDeclarator(CXXConversionDecl *Conversion);
void CheckExplicitlyDefaultedSpecialMember(CXXMethodDecl *MD);
void CheckExplicitlyDefaultedMemberExceptionSpec(CXXMethodDecl *MD,
const FunctionProtoType *T);
void CheckDelayedMemberExceptionSpecs();
//===--------------------------------------------------------------------===//
// C++ Derived Classes
//
/// ActOnBaseSpecifier - Parsed a base specifier
CXXBaseSpecifier *CheckBaseSpecifier(CXXRecordDecl *Class,
SourceRange SpecifierRange,
bool Virtual, AccessSpecifier Access,
TypeSourceInfo *TInfo,
SourceLocation EllipsisLoc);
BaseResult ActOnBaseSpecifier(Decl *classdecl,
SourceRange SpecifierRange,
ParsedAttributes &Attrs,
bool Virtual, AccessSpecifier Access,
ParsedType basetype,
SourceLocation BaseLoc,
SourceLocation EllipsisLoc);
bool AttachBaseSpecifiers(CXXRecordDecl *Class, CXXBaseSpecifier **Bases,
unsigned NumBases);
void ActOnBaseSpecifiers(Decl *ClassDecl, CXXBaseSpecifier **Bases,
unsigned NumBases);
bool IsDerivedFrom(QualType Derived, QualType Base);
bool IsDerivedFrom(QualType Derived, QualType Base, CXXBasePaths &Paths);
// FIXME: I don't like this name.
void BuildBasePathArray(const CXXBasePaths &Paths, CXXCastPath &BasePath);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
SourceLocation Loc, SourceRange Range,
CXXCastPath *BasePath = nullptr,
bool IgnoreAccess = false);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
unsigned InaccessibleBaseID,
unsigned AmbigiousBaseConvID,
SourceLocation Loc, SourceRange Range,
DeclarationName Name,
CXXCastPath *BasePath);
std::string getAmbiguousPathsDisplayString(CXXBasePaths &Paths);
bool CheckOverridingFunctionAttributes(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionReturnType - Checks whether the return types are
/// covariant, according to C++ [class.virtual]p5.
bool CheckOverridingFunctionReturnType(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionExceptionSpec - Checks whether the exception
/// spec is a subset of base spec.
bool CheckOverridingFunctionExceptionSpec(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
bool CheckPureMethod(CXXMethodDecl *Method, SourceRange InitRange);
/// CheckOverrideControl - Check C++11 override control semantics.
void CheckOverrideControl(NamedDecl *D);
/// DiagnoseAbsenceOfOverrideControl - Diagnose if 'override' keyword was
/// not used in the declaration of an overriding method.
void DiagnoseAbsenceOfOverrideControl(NamedDecl *D);
/// CheckForFunctionMarkedFinal - Checks whether a virtual member function
/// overrides a virtual member function marked 'final', according to
/// C++11 [class.virtual]p4.
bool CheckIfOverriddenFunctionIsMarkedFinal(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
//===--------------------------------------------------------------------===//
// C++ Access Control
//
enum AccessResult {
AR_accessible,
AR_inaccessible,
AR_dependent,
AR_delayed
};
bool SetMemberAccessSpecifier(NamedDecl *MemberDecl,
NamedDecl *PrevMemberDecl,
AccessSpecifier LexicalAS);
AccessResult CheckUnresolvedMemberAccess(UnresolvedMemberExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckUnresolvedLookupAccess(UnresolvedLookupExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckAllocationAccess(SourceLocation OperatorLoc,
SourceRange PlacementRange,
CXXRecordDecl *NamingClass,
DeclAccessPair FoundDecl,
bool Diagnose = true);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
const InitializedEntity &Entity,
AccessSpecifier Access,
bool IsCopyBindingRefToTemp = false);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
const InitializedEntity &Entity,
AccessSpecifier Access,
const PartialDiagnostic &PDiag);
AccessResult CheckDestructorAccess(SourceLocation Loc,
CXXDestructorDecl *Dtor,
const PartialDiagnostic &PDiag,
QualType objectType = QualType());
AccessResult CheckFriendAccess(NamedDecl *D);
AccessResult CheckMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *NamingClass,
DeclAccessPair Found);
AccessResult CheckMemberOperatorAccess(SourceLocation Loc,
Expr *ObjectExpr,
Expr *ArgExpr,
DeclAccessPair FoundDecl);
AccessResult CheckAddressOfMemberAccess(Expr *OvlExpr,
DeclAccessPair FoundDecl);
AccessResult CheckBaseClassAccess(SourceLocation AccessLoc,
QualType Base, QualType Derived,
const CXXBasePath &Path,
unsigned DiagID,
bool ForceCheck = false,
bool ForceUnprivileged = false);
void CheckLookupAccess(const LookupResult &R);
bool IsSimplyAccessible(NamedDecl *decl, DeclContext *Ctx);
bool isSpecialMemberAccessibleForDeletion(CXXMethodDecl *decl,
AccessSpecifier access,
QualType objectType);
void HandleDependentAccessCheck(const DependentDiagnostic &DD,
const MultiLevelTemplateArgumentList &TemplateArgs);
void PerformDependentDiagnostics(const DeclContext *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
void HandleDelayedAccessCheck(sema::DelayedDiagnostic &DD, Decl *Ctx);
/// \brief When true, access checking violations are treated as SFINAE
/// failures rather than hard errors.
bool AccessCheckingSFINAE;
enum AbstractDiagSelID {
AbstractNone = -1,
AbstractReturnType,
AbstractParamType,
AbstractVariableType,
AbstractFieldType,
AbstractIvarType,
AbstractSynthesizedIvarType,
AbstractArrayType
};
bool RequireNonAbstractType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
template <typename... Ts>
bool RequireNonAbstractType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireNonAbstractType(Loc, T, Diagnoser);
}
void DiagnoseAbstractType(const CXXRecordDecl *RD);
bool RequireNonAbstractType(SourceLocation Loc, QualType T, unsigned DiagID,
AbstractDiagSelID SelID = AbstractNone);
//===--------------------------------------------------------------------===//
// C++ Overloaded Operators [C++ 13.5]
//
bool CheckOverloadedOperatorDeclaration(FunctionDecl *FnDecl);
bool CheckLiteralOperatorDeclaration(FunctionDecl *FnDecl);
//===--------------------------------------------------------------------===//
// C++ Templates [C++ 14]
//
void FilterAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true);
bool hasAnyAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true);
void LookupTemplateName(LookupResult &R, Scope *S, CXXScopeSpec &SS,
QualType ObjectType, bool EnteringContext,
bool &MemberOfUnknownSpecialization);
TemplateNameKind isTemplateName(Scope *S,
CXXScopeSpec &SS,
bool hasTemplateKeyword,
UnqualifiedId &Name,
ParsedType ObjectType,
bool EnteringContext,
TemplateTy &Template,
bool &MemberOfUnknownSpecialization);
bool DiagnoseUnknownTemplateName(const IdentifierInfo &II,
SourceLocation IILoc,
Scope *S,
const CXXScopeSpec *SS,
TemplateTy &SuggestedTemplate,
TemplateNameKind &SuggestedKind);
void DiagnoseTemplateParameterShadow(SourceLocation Loc, Decl *PrevDecl);
TemplateDecl *AdjustDeclIfTemplate(Decl *&Decl);
Decl *ActOnTypeParameter(Scope *S, bool Typename,
SourceLocation EllipsisLoc,
SourceLocation KeyLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth, unsigned Position,
SourceLocation EqualLoc,
ParsedType DefaultArg);
QualType CheckNonTypeTemplateParameterType(QualType T, SourceLocation Loc);
Decl *ActOnNonTypeTemplateParameter(Scope *S, Declarator &D,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
Expr *DefaultArg);
Decl *ActOnTemplateTemplateParameter(Scope *S,
SourceLocation TmpLoc,
TemplateParameterList *Params,
SourceLocation EllipsisLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
ParsedTemplateArgument DefaultArg);
TemplateParameterList *
ActOnTemplateParameterList(unsigned Depth,
SourceLocation ExportLoc,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
Decl **Params, unsigned NumParams,
SourceLocation RAngleLoc);
/// \brief The context in which we are checking a template parameter list.
enum TemplateParamListContext {
TPC_ClassTemplate,
TPC_VarTemplate,
TPC_FunctionTemplate,
TPC_ClassTemplateMember,
TPC_FriendClassTemplate,
TPC_FriendFunctionTemplate,
TPC_FriendFunctionTemplateDefinition,
TPC_TypeAliasTemplate
};
bool CheckTemplateParameterList(TemplateParameterList *NewParams,
TemplateParameterList *OldParams,
TemplateParamListContext TPC);
TemplateParameterList *MatchTemplateParametersToScopeSpecifier(
SourceLocation DeclStartLoc, SourceLocation DeclLoc,
const CXXScopeSpec &SS, TemplateIdAnnotation *TemplateId,
ArrayRef<TemplateParameterList *> ParamLists,
bool IsFriend, bool &IsExplicitSpecialization, bool &Invalid);
DeclResult CheckClassTemplate(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc, CXXScopeSpec &SS,
IdentifierInfo *Name, SourceLocation NameLoc,
AttributeList *Attr,
TemplateParameterList *TemplateParams,
AccessSpecifier AS,
SourceLocation ModulePrivateLoc,
SourceLocation FriendLoc,
unsigned NumOuterTemplateParamLists,
TemplateParameterList **OuterTemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
void translateTemplateArguments(const ASTTemplateArgsPtr &In,
TemplateArgumentListInfo &Out);
void NoteAllFoundTemplates(TemplateName Name);
QualType CheckTemplateIdType(TemplateName Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs);
TypeResult
ActOnTemplateIdType(CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
TemplateTy Template, SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
bool IsCtorOrDtorName = false);
/// \brief Parsed an elaborated-type-specifier that refers to a template-id,
/// such as \c class T::template apply<U>.
TypeResult ActOnTagTemplateIdType(TagUseKind TUK,
TypeSpecifierType TagSpec,
SourceLocation TagLoc,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateD,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgsIn,
SourceLocation RAngleLoc);
DeclResult ActOnVarTemplateSpecialization(
Scope *S, Declarator &D, TypeSourceInfo *DI,
SourceLocation TemplateKWLoc, TemplateParameterList *TemplateParams,
StorageClass SC, bool IsPartialSpecialization);
DeclResult CheckVarTemplateId(VarTemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation TemplateNameLoc,
const TemplateArgumentListInfo &TemplateArgs);
ExprResult CheckVarTemplateId(const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
VarTemplateDecl *Template,
SourceLocation TemplateLoc,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildTemplateIdExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
bool RequiresADL,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildQualifiedTemplateIdExpr(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
TemplateNameKind ActOnDependentTemplateName(Scope *S,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Name,
ParsedType ObjectType,
bool EnteringContext,
TemplateTy &Template);
DeclResult
ActOnClassTemplateSpecialization(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc,
SourceLocation ModulePrivateLoc,
TemplateIdAnnotation &TemplateId,
AttributeList *Attr,
MultiTemplateParamsArg TemplateParameterLists,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnTemplateDeclarator(Scope *S,
MultiTemplateParamsArg TemplateParameterLists,
Declarator &D);
Decl *ActOnStartOfFunctionTemplateDef(Scope *FnBodyScope,
MultiTemplateParamsArg TemplateParameterLists,
Declarator &D);
bool
CheckSpecializationInstantiationRedecl(SourceLocation NewLoc,
TemplateSpecializationKind NewTSK,
NamedDecl *PrevDecl,
TemplateSpecializationKind PrevTSK,
SourceLocation PrevPtOfInstantiation,
bool &SuppressNew);
bool CheckDependentFunctionTemplateSpecialization(FunctionDecl *FD,
const TemplateArgumentListInfo &ExplicitTemplateArgs,
LookupResult &Previous);
bool CheckFunctionTemplateSpecialization(FunctionDecl *FD,
TemplateArgumentListInfo *ExplicitTemplateArgs,
LookupResult &Previous);
bool CheckMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
DeclResult
ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
unsigned TagSpec,
SourceLocation KWLoc,
const CXXScopeSpec &SS,
TemplateTy Template,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
AttributeList *Attr);
DeclResult
ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
unsigned TagSpec,
SourceLocation KWLoc,
CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation NameLoc,
AttributeList *Attr);
DeclResult ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
Declarator &D);
TemplateArgumentLoc
SubstDefaultTemplateArgumentIfAvailable(TemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
Decl *Param,
SmallVectorImpl<TemplateArgument>
&Converted,
bool &HasDefaultArg);
/// \brief Specifies the context in which a particular template
/// argument is being checked.
enum CheckTemplateArgumentKind {
/// \brief The template argument was specified in the code or was
/// instantiated with some deduced template arguments.
CTAK_Specified,
/// \brief The template argument was deduced via template argument
/// deduction.
CTAK_Deduced,
/// \brief The template argument was deduced from an array bound
/// via template argument deduction.
CTAK_DeducedFromArrayBound
};
bool CheckTemplateArgument(NamedDecl *Param,
TemplateArgumentLoc &Arg,
NamedDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
unsigned ArgumentPackIndex,
SmallVectorImpl<TemplateArgument> &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
/// \brief Check that the given template arguments can be be provided to
/// the given template, converting the arguments along the way.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateLoc The location of the template name in the source.
///
/// \param TemplateArgs The list of template arguments. If the template is
/// a template template parameter, this function may extend the set of
/// template arguments to also include substituted, defaulted template
/// arguments.
///
/// \param PartialTemplateArgs True if the list of template arguments is
/// intentionally partial, e.g., because we're checking just the initial
/// set of template arguments.
///
/// \param Converted Will receive the converted, canonicalized template
/// arguments.
///
/// \returns true if an error occurred, false otherwise.
bool CheckTemplateArgumentList(TemplateDecl *Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs,
bool PartialTemplateArgs,
SmallVectorImpl<TemplateArgument> &Converted);
bool CheckTemplateTypeArgument(TemplateTypeParmDecl *Param,
TemplateArgumentLoc &Arg,
SmallVectorImpl<TemplateArgument> &Converted);
bool CheckTemplateArgument(TemplateTypeParmDecl *Param,
TypeSourceInfo *Arg);
ExprResult CheckTemplateArgument(NonTypeTemplateParmDecl *Param,
QualType InstantiatedParamType, Expr *Arg,
TemplateArgument &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
bool CheckTemplateArgument(TemplateTemplateParmDecl *Param,
TemplateArgumentLoc &Arg,
unsigned ArgumentPackIndex);
ExprResult
BuildExpressionFromDeclTemplateArgument(const TemplateArgument &Arg,
QualType ParamType,
SourceLocation Loc);
ExprResult
BuildExpressionFromIntegralTemplateArgument(const TemplateArgument &Arg,
SourceLocation Loc);
/// \brief Enumeration describing how template parameter lists are compared
/// for equality.
enum TemplateParameterListEqualKind {
/// \brief We are matching the template parameter lists of two templates
/// that might be redeclarations.
///
/// \code
/// template<typename T> struct X;
/// template<typename T> struct X;
/// \endcode
TPL_TemplateMatch,
/// \brief We are matching the template parameter lists of two template
/// template parameters as part of matching the template parameter lists
/// of two templates that might be redeclarations.
///
/// \code
/// template<template<int I> class TT> struct X;
/// template<template<int Value> class Other> struct X;
/// \endcode
TPL_TemplateTemplateParmMatch,
/// \brief We are matching the template parameter lists of a template
/// template argument against the template parameter lists of a template
/// template parameter.
///
/// \code
/// template<template<int Value> class Metafun> struct X;
/// template<int Value> struct integer_c;
/// X<integer_c> xic;
/// \endcode
TPL_TemplateTemplateArgumentMatch
};
bool TemplateParameterListsAreEqual(TemplateParameterList *New,
TemplateParameterList *Old,
bool Complain,
TemplateParameterListEqualKind Kind,
SourceLocation TemplateArgLoc
= SourceLocation());
bool CheckTemplateDeclScope(Scope *S, TemplateParameterList *TemplateParams);
/// \brief Called when the parser has parsed a C++ typename
/// specifier, e.g., "typename T::type".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param II the identifier we're retrieving (e.g., 'type' in the example).
/// \param IdLoc the location of the identifier.
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS, const IdentifierInfo &II,
SourceLocation IdLoc);
/// \brief Called when the parser has parsed a C++ typename
/// specifier that ends in a template-id, e.g.,
/// "typename MetaFun::template apply<T1, T2>".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param TemplateLoc the location of the 'template' keyword, if any.
/// \param TemplateName The template name.
/// \param TemplateNameLoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateLoc,
TemplateTy TemplateName,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc);
QualType CheckTypenameType(ElaboratedTypeKeyword Keyword,
SourceLocation KeywordLoc,
NestedNameSpecifierLoc QualifierLoc,
const IdentifierInfo &II,
SourceLocation IILoc);
TypeSourceInfo *RebuildTypeInCurrentInstantiation(TypeSourceInfo *T,
SourceLocation Loc,
DeclarationName Name);
bool RebuildNestedNameSpecifierInCurrentInstantiation(CXXScopeSpec &SS);
ExprResult RebuildExprInCurrentInstantiation(Expr *E);
bool RebuildTemplateParamsInCurrentInstantiation(
TemplateParameterList *Params);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgumentList &Args);
std::string
getTemplateArgumentBindingsText(const TemplateParameterList *Params,
const TemplateArgument *Args,
unsigned NumArgs);
//===--------------------------------------------------------------------===//
// C++ Variadic Templates (C++0x [temp.variadic])
//===--------------------------------------------------------------------===//
/// Determine whether an unexpanded parameter pack might be permitted in this
/// location. Useful for error recovery.
bool isUnexpandedParameterPackPermitted();
/// \brief The context in which an unexpanded parameter pack is
/// being diagnosed.
///
/// Note that the values of this enumeration line up with the first
/// argument to the \c err_unexpanded_parameter_pack diagnostic.
enum UnexpandedParameterPackContext {
/// \brief An arbitrary expression.
UPPC_Expression = 0,
/// \brief The base type of a class type.
UPPC_BaseType,
/// \brief The type of an arbitrary declaration.
UPPC_DeclarationType,
/// \brief The type of a data member.
UPPC_DataMemberType,
/// \brief The size of a bit-field.
UPPC_BitFieldWidth,
/// \brief The expression in a static assertion.
UPPC_StaticAssertExpression,
/// \brief The fixed underlying type of an enumeration.
UPPC_FixedUnderlyingType,
/// \brief The enumerator value.
UPPC_EnumeratorValue,
/// \brief A using declaration.
UPPC_UsingDeclaration,
/// \brief A friend declaration.
UPPC_FriendDeclaration,
/// \brief A declaration qualifier.
UPPC_DeclarationQualifier,
/// \brief An initializer.
UPPC_Initializer,
/// \brief A default argument.
UPPC_DefaultArgument,
/// \brief The type of a non-type template parameter.
UPPC_NonTypeTemplateParameterType,
/// \brief The type of an exception.
UPPC_ExceptionType,
/// \brief Partial specialization.
UPPC_PartialSpecialization,
/// \brief Microsoft __if_exists.
UPPC_IfExists,
/// \brief Microsoft __if_not_exists.
UPPC_IfNotExists,
/// \brief Lambda expression.
UPPC_Lambda,
/// \brief Block expression,
UPPC_Block
};
/// \brief Diagnose unexpanded parameter packs.
///
/// \param Loc The location at which we should emit the diagnostic.
///
/// \param UPPC The context in which we are diagnosing unexpanded
/// parameter packs.
///
/// \param Unexpanded the set of unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPacks(SourceLocation Loc,
UnexpandedParameterPackContext UPPC,
ArrayRef<UnexpandedParameterPack> Unexpanded);
/// \brief If the given type contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The source location where a diagnostc should be emitted.
///
/// \param T The type that is being checked for unexpanded parameter
/// packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc, TypeSourceInfo *T,
UnexpandedParameterPackContext UPPC);
/// \brief If the given expression contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param E The expression that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(Expr *E,
UnexpandedParameterPackContext UPPC = UPPC_Expression);
/// \brief If the given nested-name-specifier contains an unexpanded
/// parameter pack, diagnose the error.
///
/// \param SS The nested-name-specifier that is being checked for
/// unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const CXXScopeSpec &SS,
UnexpandedParameterPackContext UPPC);
/// \brief If the given name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param NameInfo The name (with source location information) that
/// is being checked for unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const DeclarationNameInfo &NameInfo,
UnexpandedParameterPackContext UPPC);
/// \brief If the given template name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The location of the template name.
///
/// \param Template The template name that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc,
TemplateName Template,
UnexpandedParameterPackContext UPPC);
/// \brief If the given template argument contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param Arg The template argument that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(TemplateArgumentLoc Arg,
UnexpandedParameterPackContext UPPC);
/// \brief Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgument Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgumentLoc Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param T The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(QualType T,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param TL The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TypeLoc TL,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// nested-name-specifier.
///
/// \param SS The nested-name-specifier that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(CXXScopeSpec &SS,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Collect the set of unexpanded parameter packs within the given
/// name.
///
/// \param NameInfo The name that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(const DeclarationNameInfo &NameInfo,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// \brief Invoked when parsing a template argument followed by an
/// ellipsis, which creates a pack expansion.
///
/// \param Arg The template argument preceding the ellipsis, which
/// may already be invalid.
///
/// \param EllipsisLoc The location of the ellipsis.
ParsedTemplateArgument ActOnPackExpansion(const ParsedTemplateArgument &Arg,
SourceLocation EllipsisLoc);
/// \brief Invoked when parsing a type followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Type The type preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
TypeResult ActOnPackExpansion(ParsedType Type, SourceLocation EllipsisLoc);
/// \brief Construct a pack expansion type from the pattern of the pack
/// expansion.
TypeSourceInfo *CheckPackExpansion(TypeSourceInfo *Pattern,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// \brief Construct a pack expansion type from the pattern of the pack
/// expansion.
QualType CheckPackExpansion(QualType Pattern,
SourceRange PatternRange,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// \brief Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult ActOnPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc);
/// \brief Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult CheckPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// \brief Determine whether we could expand a pack expansion with the
/// given set of parameter packs into separate arguments by repeatedly
/// transforming the pattern.
///
/// \param EllipsisLoc The location of the ellipsis that identifies the
/// pack expansion.
///
/// \param PatternRange The source range that covers the entire pattern of
/// the pack expansion.
///
/// \param Unexpanded The set of unexpanded parameter packs within the
/// pattern.
///
/// \param ShouldExpand Will be set to \c true if the transformer should
/// expand the corresponding pack expansions into separate arguments. When
/// set, \c NumExpansions must also be set.
///
/// \param RetainExpansion Whether the caller should add an unexpanded
/// pack expansion after all of the expanded arguments. This is used
/// when extending explicitly-specified template argument packs per
/// C++0x [temp.arg.explicit]p9.
///
/// \param NumExpansions The number of separate arguments that will be in
/// the expanded form of the corresponding pack expansion. This is both an
/// input and an output parameter, which can be set by the caller if the
/// number of expansions is known a priori (e.g., due to a prior substitution)
/// and will be set by the callee when the number of expansions is known.
/// The callee must set this value when \c ShouldExpand is \c true; it may
/// set this value in other cases.
///
/// \returns true if an error occurred (e.g., because the parameter packs
/// are to be instantiated with arguments of different lengths), false
/// otherwise. If false, \c ShouldExpand (and possibly \c NumExpansions)
/// must be set.
bool CheckParameterPacksForExpansion(SourceLocation EllipsisLoc,
SourceRange PatternRange,
ArrayRef<UnexpandedParameterPack> Unexpanded,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool &ShouldExpand,
bool &RetainExpansion,
Optional<unsigned> &NumExpansions);
/// \brief Determine the number of arguments in the given pack expansion
/// type.
///
/// This routine assumes that the number of arguments in the expansion is
/// consistent across all of the unexpanded parameter packs in its pattern.
///
/// Returns an empty Optional if the type can't be expanded.
Optional<unsigned> getNumArgumentsInExpansion(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// \brief Determine whether the given declarator contains any unexpanded
/// parameter packs.
///
/// This routine is used by the parser to disambiguate function declarators
/// with an ellipsis prior to the ')', e.g.,
///
/// \code
/// void f(T...);
/// \endcode
///
/// To determine whether we have an (unnamed) function parameter pack or
/// a variadic function.
///
/// \returns true if the declarator contains any unexpanded parameter packs,
/// false otherwise.
bool containsUnexpandedParameterPacks(Declarator &D);
/// \brief Returns the pattern of the pack expansion for a template argument.
///
/// \param OrigLoc The template argument to expand.
///
/// \param Ellipsis Will be set to the location of the ellipsis.
///
/// \param NumExpansions Will be set to the number of expansions that will
/// be generated from this pack expansion, if known a priori.
TemplateArgumentLoc getTemplateArgumentPackExpansionPattern(
TemplateArgumentLoc OrigLoc,
SourceLocation &Ellipsis,
Optional<unsigned> &NumExpansions) const;
//===--------------------------------------------------------------------===//
// C++ Template Argument Deduction (C++ [temp.deduct])
//===--------------------------------------------------------------------===//
QualType adjustCCAndNoReturn(QualType ArgFunctionType, QualType FunctionType);
/// \brief Describes the result of template argument deduction.
///
/// The TemplateDeductionResult enumeration describes the result of
/// template argument deduction, as returned from
/// DeduceTemplateArguments(). The separate TemplateDeductionInfo
/// structure provides additional information about the results of
/// template argument deduction, e.g., the deduced template argument
/// list (if successful) or the specific template parameters or
/// deduced arguments that were involved in the failure.
enum TemplateDeductionResult {
/// \brief Template argument deduction was successful.
TDK_Success = 0,
/// \brief The declaration was invalid; do nothing.
TDK_Invalid,
/// \brief Template argument deduction exceeded the maximum template
/// instantiation depth (which has already been diagnosed).
TDK_InstantiationDepth,
/// \brief Template argument deduction did not deduce a value
/// for every template parameter.
TDK_Incomplete,
/// \brief Template argument deduction produced inconsistent
/// deduced values for the given template parameter.
TDK_Inconsistent,
/// \brief Template argument deduction failed due to inconsistent
/// cv-qualifiers on a template parameter type that would
/// otherwise be deduced, e.g., we tried to deduce T in "const T"
/// but were given a non-const "X".
TDK_Underqualified,
/// \brief Substitution of the deduced template argument values
/// resulted in an error.
TDK_SubstitutionFailure,
/// \brief A non-depnedent component of the parameter did not match the
/// corresponding component of the argument.
TDK_NonDeducedMismatch,
/// \brief When performing template argument deduction for a function
/// template, there were too many call arguments.
TDK_TooManyArguments,
/// \brief When performing template argument deduction for a function
/// template, there were too few call arguments.
TDK_TooFewArguments,
/// \brief The explicitly-specified template arguments were not valid
/// template arguments for the given template.
TDK_InvalidExplicitArguments,
/// \brief The arguments included an overloaded function name that could
/// not be resolved to a suitable function.
TDK_FailedOverloadResolution,
/// \brief Deduction failed; that's all we know.
TDK_MiscellaneousDeductionFailure
};
TemplateDeductionResult
DeduceTemplateArguments(ClassTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(VarTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult SubstituteExplicitTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo &ExplicitTemplateArgs,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
SmallVectorImpl<QualType> &ParamTypes, QualType *FunctionType,
sema::TemplateDeductionInfo &Info);
/// brief A function argument from which we performed template argument
// deduction for a call.
struct OriginalCallArg {
OriginalCallArg(QualType OriginalParamType,
unsigned ArgIdx,
QualType OriginalArgType)
: OriginalParamType(OriginalParamType), ArgIdx(ArgIdx),
OriginalArgType(OriginalArgType) { }
QualType OriginalParamType;
unsigned ArgIdx;
QualType OriginalArgType;
};
TemplateDeductionResult
FinishTemplateArgumentDeduction(FunctionTemplateDecl *FunctionTemplate,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
unsigned NumExplicitlySpecified,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
SmallVectorImpl<OriginalCallArg> const *OriginalCallArgs = nullptr,
bool PartialOverloading = false);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
ArrayRef<Expr *> Args,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool PartialOverloading = false);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ArgFunctionType,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool InOverloadResolution = false);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
QualType ToType,
CXXConversionDecl *&Specialization,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool InOverloadResolution = false);
/// \brief Substitute Replacement for \p auto in \p TypeWithAuto
QualType SubstAutoType(QualType TypeWithAuto, QualType Replacement);
/// \brief Substitute Replacement for auto in TypeWithAuto
TypeSourceInfo* SubstAutoTypeSourceInfo(TypeSourceInfo *TypeWithAuto,
QualType Replacement);
/// \brief Result type of DeduceAutoType.
enum DeduceAutoResult {
DAR_Succeeded,
DAR_Failed,
DAR_FailedAlreadyDiagnosed
};
DeduceAutoResult DeduceAutoType(TypeSourceInfo *AutoType, Expr *&Initializer,
QualType &Result);
DeduceAutoResult DeduceAutoType(TypeLoc AutoTypeLoc, Expr *&Initializer,
QualType &Result);
void DiagnoseAutoDeductionFailure(VarDecl *VDecl, Expr *Init);
bool DeduceReturnType(FunctionDecl *FD, SourceLocation Loc,
bool Diagnose = true);
TypeLoc getReturnTypeLoc(FunctionDecl *FD) const;
bool DeduceFunctionTypeFromReturnExpr(FunctionDecl *FD,
SourceLocation ReturnLoc,
Expr *&RetExpr, AutoType *AT);
FunctionTemplateDecl *getMoreSpecializedTemplate(FunctionTemplateDecl *FT1,
FunctionTemplateDecl *FT2,
SourceLocation Loc,
TemplatePartialOrderingContext TPOC,
unsigned NumCallArguments1,
unsigned NumCallArguments2);
UnresolvedSetIterator
getMostSpecialized(UnresolvedSetIterator SBegin, UnresolvedSetIterator SEnd,
TemplateSpecCandidateSet &FailedCandidates,
SourceLocation Loc,
const PartialDiagnostic &NoneDiag,
const PartialDiagnostic &AmbigDiag,
const PartialDiagnostic &CandidateDiag,
bool Complain = true, QualType TargetType = QualType());
ClassTemplatePartialSpecializationDecl *
getMoreSpecializedPartialSpecialization(
ClassTemplatePartialSpecializationDecl *PS1,
ClassTemplatePartialSpecializationDecl *PS2,
SourceLocation Loc);
VarTemplatePartialSpecializationDecl *getMoreSpecializedPartialSpecialization(
VarTemplatePartialSpecializationDecl *PS1,
VarTemplatePartialSpecializationDecl *PS2, SourceLocation Loc);
void MarkUsedTemplateParameters(const TemplateArgumentList &TemplateArgs,
bool OnlyDeduced,
unsigned Depth,
llvm::SmallBitVector &Used);
void MarkDeducedTemplateParameters(
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced) {
return MarkDeducedTemplateParameters(Context, FunctionTemplate, Deduced);
}
static void MarkDeducedTemplateParameters(ASTContext &Ctx,
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced);
//===--------------------------------------------------------------------===//
// C++ Template Instantiation
//
MultiLevelTemplateArgumentList
getTemplateInstantiationArgs(NamedDecl *D,
const TemplateArgumentList *Innermost = nullptr,
bool RelativeToPrimary = false,
const FunctionDecl *Pattern = nullptr);
/// \brief A template instantiation that is currently in progress.
struct ActiveTemplateInstantiation {
/// \brief The kind of template instantiation we are performing
enum InstantiationKind {
/// We are instantiating a template declaration. The entity is
/// the declaration we're instantiating (e.g., a CXXRecordDecl).
TemplateInstantiation,
/// We are instantiating a default argument for a template
/// parameter. The Entity is the template, and
/// TemplateArgs/NumTemplateArguments provides the template
/// arguments as specified.
/// FIXME: Use a TemplateArgumentList
DefaultTemplateArgumentInstantiation,
/// We are instantiating a default argument for a function.
/// The Entity is the ParmVarDecl, and TemplateArgs/NumTemplateArgs
/// provides the template arguments as specified.
DefaultFunctionArgumentInstantiation,
/// We are substituting explicit template arguments provided for
/// a function template. The entity is a FunctionTemplateDecl.
ExplicitTemplateArgumentSubstitution,
/// We are substituting template argument determined as part of
/// template argument deduction for either a class template
/// partial specialization or a function template. The
/// Entity is either a ClassTemplatePartialSpecializationDecl or
/// a FunctionTemplateDecl.
DeducedTemplateArgumentSubstitution,
/// We are substituting prior template arguments into a new
/// template parameter. The template parameter itself is either a
/// NonTypeTemplateParmDecl or a TemplateTemplateParmDecl.
PriorTemplateArgumentSubstitution,
/// We are checking the validity of a default template argument that
/// has been used when naming a template-id.
DefaultTemplateArgumentChecking,
/// We are instantiating the exception specification for a function
/// template which was deferred until it was needed.
ExceptionSpecInstantiation
} Kind;
/// \brief The point of instantiation within the source code.
SourceLocation PointOfInstantiation;
/// \brief The template (or partial specialization) in which we are
/// performing the instantiation, for substitutions of prior template
/// arguments.
NamedDecl *Template;
/// \brief The entity that is being instantiated.
Decl *Entity;
/// \brief The list of template arguments we are substituting, if they
/// are not part of the entity.
const TemplateArgument *TemplateArgs;
/// \brief The number of template arguments in TemplateArgs.
unsigned NumTemplateArgs;
/// \brief The template deduction info object associated with the
/// substitution or checking of explicit or deduced template arguments.
sema::TemplateDeductionInfo *DeductionInfo;
/// \brief The source range that covers the construct that cause
/// the instantiation, e.g., the template-id that causes a class
/// template instantiation.
SourceRange InstantiationRange;
ActiveTemplateInstantiation()
: Kind(TemplateInstantiation), Template(nullptr), Entity(nullptr),
TemplateArgs(nullptr), NumTemplateArgs(0), DeductionInfo(nullptr) {}
/// \brief Determines whether this template is an actual instantiation
/// that should be counted toward the maximum instantiation depth.
bool isInstantiationRecord() const;
friend bool operator==(const ActiveTemplateInstantiation &X,
const ActiveTemplateInstantiation &Y) {
if (X.Kind != Y.Kind)
return false;
if (X.Entity != Y.Entity)
return false;
switch (X.Kind) {
case TemplateInstantiation:
case ExceptionSpecInstantiation:
return true;
case PriorTemplateArgumentSubstitution:
case DefaultTemplateArgumentChecking:
return X.Template == Y.Template && X.TemplateArgs == Y.TemplateArgs;
case DefaultTemplateArgumentInstantiation:
case ExplicitTemplateArgumentSubstitution:
case DeducedTemplateArgumentSubstitution:
case DefaultFunctionArgumentInstantiation:
return X.TemplateArgs == Y.TemplateArgs;
}
llvm_unreachable("Invalid InstantiationKind!");
}
friend bool operator!=(const ActiveTemplateInstantiation &X,
const ActiveTemplateInstantiation &Y) {
return !(X == Y);
}
};
/// \brief List of active template instantiations.
///
/// This vector is treated as a stack. As one template instantiation
/// requires another template instantiation, additional
/// instantiations are pushed onto the stack up to a
/// user-configurable limit LangOptions::InstantiationDepth.
SmallVector<ActiveTemplateInstantiation, 16>
ActiveTemplateInstantiations;
/// \brief Extra modules inspected when performing a lookup during a template
/// instantiation. Computed lazily.
SmallVector<Module*, 16> ActiveTemplateInstantiationLookupModules;
/// \brief Cache of additional modules that should be used for name lookup
/// within the current template instantiation. Computed lazily; use
/// getLookupModules() to get a complete set.
llvm::DenseSet<Module*> LookupModulesCache;
/// \brief Get the set of additional modules that should be checked during
/// name lookup. A module and its imports become visible when instanting a
/// template defined within it.
llvm::DenseSet<Module*> &getLookupModules();
/// \brief Whether we are in a SFINAE context that is not associated with
/// template instantiation.
///
/// This is used when setting up a SFINAE trap (\c see SFINAETrap) outside
/// of a template instantiation or template argument deduction.
bool InNonInstantiationSFINAEContext;
/// \brief The number of ActiveTemplateInstantiation entries in
/// \c ActiveTemplateInstantiations that are not actual instantiations and,
/// therefore, should not be counted as part of the instantiation depth.
unsigned NonInstantiationEntries;
/// \brief The last template from which a template instantiation
/// error or warning was produced.
///
/// This value is used to suppress printing of redundant template
/// instantiation backtraces when there are multiple errors in the
/// same instantiation. FIXME: Does this belong in Sema? It's tough
/// to implement it anywhere else.
ActiveTemplateInstantiation LastTemplateInstantiationErrorContext;
/// \brief The current index into pack expansion arguments that will be
/// used for substitution of parameter packs.
///
/// The pack expansion index will be -1 to indicate that parameter packs
/// should be instantiated as themselves. Otherwise, the index specifies
/// which argument within the parameter pack will be used for substitution.
int ArgumentPackSubstitutionIndex;
/// \brief RAII object used to change the argument pack substitution index
/// within a \c Sema object.
///
/// See \c ArgumentPackSubstitutionIndex for more information.
class ArgumentPackSubstitutionIndexRAII {
Sema &Self;
int OldSubstitutionIndex;
public:
ArgumentPackSubstitutionIndexRAII(Sema &Self, int NewSubstitutionIndex)
: Self(Self), OldSubstitutionIndex(Self.ArgumentPackSubstitutionIndex) {
Self.ArgumentPackSubstitutionIndex = NewSubstitutionIndex;
}
~ArgumentPackSubstitutionIndexRAII() {
Self.ArgumentPackSubstitutionIndex = OldSubstitutionIndex;
}
};
friend class ArgumentPackSubstitutionRAII;
/// \brief The stack of calls expression undergoing template instantiation.
///
/// The top of this stack is used by a fixit instantiating unresolved
/// function calls to fix the AST to match the textual change it prints.
SmallVector<CallExpr *, 8> CallsUndergoingInstantiation;
/// \brief For each declaration that involved template argument deduction, the
/// set of diagnostics that were suppressed during that template argument
/// deduction.
///
/// FIXME: Serialize this structure to the AST file.
typedef llvm::DenseMap<Decl *, SmallVector<PartialDiagnosticAt, 1> >
SuppressedDiagnosticsMap;
SuppressedDiagnosticsMap SuppressedDiagnostics;
/// \brief A stack object to be created when performing template
/// instantiation.
///
/// Construction of an object of type \c InstantiatingTemplate
/// pushes the current instantiation onto the stack of active
/// instantiations. If the size of this stack exceeds the maximum
/// number of recursive template instantiations, construction
/// produces an error and evaluates true.
///
/// Destruction of this object will pop the named instantiation off
/// the stack.
struct InstantiatingTemplate {
/// \brief Note that we are instantiating a class template,
/// function template, or a member thereof.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
Decl *Entity,
SourceRange InstantiationRange = SourceRange());
struct ExceptionSpecification {};
/// \brief Note that we are instantiating an exception specification
/// of a function template.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionDecl *Entity, ExceptionSpecification,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating a default argument in a
/// template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating a default argument in a
/// template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionTemplateDecl *FunctionTemplate,
ArrayRef<TemplateArgument> TemplateArgs,
ActiveTemplateInstantiation::InstantiationKind Kind,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating as part of template
/// argument deduction for a class template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ClassTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are instantiating as part of template
/// argument deduction for a variable template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
VarTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParmVarDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are substituting prior template arguments into a
/// non-type parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
NonTypeTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// \brief Note that we are substituting prior template arguments into a
/// template template parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
TemplateTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// \brief Note that we are checking the default template argument
/// against the template parameter for a given template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
NamedDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// \brief Note that we have finished instantiating this template.
void Clear();
~InstantiatingTemplate() { Clear(); }
/// \brief Determines whether we have exceeded the maximum
/// recursive template instantiations.
bool isInvalid() const { return Invalid; }
private:
Sema &SemaRef;
bool Invalid;
bool SavedInNonInstantiationSFINAEContext;
bool CheckInstantiationDepth(SourceLocation PointOfInstantiation,
SourceRange InstantiationRange);
InstantiatingTemplate(
Sema &SemaRef, ActiveTemplateInstantiation::InstantiationKind Kind,
SourceLocation PointOfInstantiation, SourceRange InstantiationRange,
Decl *Entity, NamedDecl *Template = nullptr,
ArrayRef<TemplateArgument> TemplateArgs = ArrayRef<TemplateArgument>(),
sema::TemplateDeductionInfo *DeductionInfo = nullptr);
InstantiatingTemplate(const InstantiatingTemplate&) = delete;
InstantiatingTemplate&
operator=(const InstantiatingTemplate&) = delete;
};
void PrintInstantiationStack();
/// \brief Determines whether we are currently in a context where
/// template argument substitution failures are not considered
/// errors.
///
/// \returns An empty \c Optional if we're not in a SFINAE context.
/// Otherwise, contains a pointer that, if non-NULL, contains the nearest
/// template-deduction context object, which can be used to capture
/// diagnostics that will be suppressed.
Optional<sema::TemplateDeductionInfo *> isSFINAEContext() const;
/// \brief Determines whether we are currently in a context that
/// is not evaluated as per C++ [expr] p5.
bool isUnevaluatedContext() const {
assert(!ExprEvalContexts.empty() &&
"Must be in an expression evaluation context");
return ExprEvalContexts.back().isUnevaluated();
}
/// \brief RAII class used to determine whether SFINAE has
/// trapped any errors that occur during template argument
/// deduction.
class SFINAETrap {
Sema &SemaRef;
unsigned PrevSFINAEErrors;
bool PrevInNonInstantiationSFINAEContext;
bool PrevAccessCheckingSFINAE;
public:
explicit SFINAETrap(Sema &SemaRef, bool AccessCheckingSFINAE = false)
: SemaRef(SemaRef), PrevSFINAEErrors(SemaRef.NumSFINAEErrors),
PrevInNonInstantiationSFINAEContext(
SemaRef.InNonInstantiationSFINAEContext),
PrevAccessCheckingSFINAE(SemaRef.AccessCheckingSFINAE)
{
if (!SemaRef.isSFINAEContext())
SemaRef.InNonInstantiationSFINAEContext = true;
SemaRef.AccessCheckingSFINAE = AccessCheckingSFINAE;
}
~SFINAETrap() {
SemaRef.NumSFINAEErrors = PrevSFINAEErrors;
SemaRef.InNonInstantiationSFINAEContext
= PrevInNonInstantiationSFINAEContext;
SemaRef.AccessCheckingSFINAE = PrevAccessCheckingSFINAE;
}
/// \brief Determine whether any SFINAE errors have been trapped.
bool hasErrorOccurred() const {
return SemaRef.NumSFINAEErrors > PrevSFINAEErrors;
}
};
/// \brief RAII class used to indicate that we are performing provisional
/// semantic analysis to determine the validity of a construct, so
/// typo-correction and diagnostics in the immediate context (not within
/// implicitly-instantiated templates) should be suppressed.
class TentativeAnalysisScope {
Sema &SemaRef;
// FIXME: Using a SFINAETrap for this is a hack.
SFINAETrap Trap;
bool PrevDisableTypoCorrection;
public:
explicit TentativeAnalysisScope(Sema &SemaRef)
: SemaRef(SemaRef), Trap(SemaRef, true),
PrevDisableTypoCorrection(SemaRef.DisableTypoCorrection) {
SemaRef.DisableTypoCorrection = true;
}
~TentativeAnalysisScope() {
SemaRef.DisableTypoCorrection = PrevDisableTypoCorrection;
}
};
/// \brief The current instantiation scope used to store local
/// variables.
LocalInstantiationScope *CurrentInstantiationScope;
/// \brief Tracks whether we are in a context where typo correction is
/// disabled.
bool DisableTypoCorrection;
/// \brief The number of typos corrected by CorrectTypo.
unsigned TyposCorrected;
typedef llvm::SmallSet<SourceLocation, 2> SrcLocSet;
typedef llvm::DenseMap<IdentifierInfo *, SrcLocSet> IdentifierSourceLocations;
/// \brief A cache containing identifiers for which typo correction failed and
/// their locations, so that repeated attempts to correct an identifier in a
/// given location are ignored if typo correction already failed for it.
IdentifierSourceLocations TypoCorrectionFailures;
/// \brief Worker object for performing CFG-based warnings.
sema::AnalysisBasedWarnings AnalysisWarnings;
threadSafety::BeforeSet *ThreadSafetyDeclCache;
/// \brief An entity for which implicit template instantiation is required.
///
/// The source location associated with the declaration is the first place in
/// the source code where the declaration was "used". It is not necessarily
/// the point of instantiation (which will be either before or after the
/// namespace-scope declaration that triggered this implicit instantiation),
/// However, it is the location that diagnostics should generally refer to,
/// because users will need to know what code triggered the instantiation.
typedef std::pair<ValueDecl *, SourceLocation> PendingImplicitInstantiation;
/// \brief The queue of implicit template instantiations that are required
/// but have not yet been performed.
std::deque<PendingImplicitInstantiation> PendingInstantiations;
class SavePendingInstantiationsAndVTableUsesRAII {
public:
SavePendingInstantiationsAndVTableUsesRAII(Sema &S, bool Enabled)
: S(S), Enabled(Enabled) {
if (!Enabled) return;
SavedPendingInstantiations.swap(S.PendingInstantiations);
SavedVTableUses.swap(S.VTableUses);
}
~SavePendingInstantiationsAndVTableUsesRAII() {
if (!Enabled) return;
// Restore the set of pending vtables.
assert(S.VTableUses.empty() &&
"VTableUses should be empty before it is discarded.");
S.VTableUses.swap(SavedVTableUses);
// Restore the set of pending implicit instantiations.
assert(S.PendingInstantiations.empty() &&
"PendingInstantiations should be empty before it is discarded.");
S.PendingInstantiations.swap(SavedPendingInstantiations);
}
private:
Sema &S;
SmallVector<VTableUse, 16> SavedVTableUses;
std::deque<PendingImplicitInstantiation> SavedPendingInstantiations;
bool Enabled;
};
/// \brief The queue of implicit template instantiations that are required
/// and must be performed within the current local scope.
///
/// This queue is only used for member functions of local classes in
/// templates, which must be instantiated in the same scope as their
/// enclosing function, so that they can reference function-local
/// types, static variables, enumerators, etc.
std::deque<PendingImplicitInstantiation> PendingLocalImplicitInstantiations;
class SavePendingLocalImplicitInstantiationsRAII {
public:
SavePendingLocalImplicitInstantiationsRAII(Sema &S): S(S) {
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
~SavePendingLocalImplicitInstantiationsRAII() {
assert(S.PendingLocalImplicitInstantiations.empty() &&
"there shouldn't be any pending local implicit instantiations");
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
private:
Sema &S;
std::deque<PendingImplicitInstantiation>
SavedPendingLocalImplicitInstantiations;
};
void PerformPendingInstantiations(bool LocalOnly = false);
TypeSourceInfo *SubstType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
QualType SubstType(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstType(TypeLoc TL,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstFunctionDeclType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc,
DeclarationName Entity,
CXXRecordDecl *ThisContext,
unsigned ThisTypeQuals);
void SubstExceptionSpec(FunctionDecl *New, const FunctionProtoType *Proto,
const MultiLevelTemplateArgumentList &Args);
ParmVarDecl *SubstParmVarDecl(ParmVarDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
int indexAdjustment,
Optional<unsigned> NumExpansions,
bool ExpectParameterPack);
bool SubstParmTypes(SourceLocation Loc,
ParmVarDecl **Params, unsigned NumParams,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<QualType> &ParamTypes,
SmallVectorImpl<ParmVarDecl *> *OutParams = nullptr);
ExprResult SubstExpr(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// \brief Substitute the given template arguments into a list of
/// expressions, expanding pack expansions if required.
///
/// \param Exprs The list of expressions to substitute into.
///
/// \param NumExprs The number of expressions in \p Exprs.
///
/// \param IsCall Whether this is some form of call, in which case
/// default arguments will be dropped.
///
/// \param TemplateArgs The set of template arguments to substitute.
///
/// \param Outputs Will receive all of the substituted arguments.
///
/// \returns true if an error occurred, false otherwise.
bool SubstExprs(Expr **Exprs, unsigned NumExprs, bool IsCall,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<Expr *> &Outputs);
StmtResult SubstStmt(Stmt *S,
const MultiLevelTemplateArgumentList &TemplateArgs);
Decl *SubstDecl(Decl *D, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
ExprResult SubstInitializer(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool CXXDirectInit);
bool
SubstBaseSpecifiers(CXXRecordDecl *Instantiation,
CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
InstantiateClass(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation, CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK,
bool Complain = true);
bool InstantiateEnum(SourceLocation PointOfInstantiation,
EnumDecl *Instantiation, EnumDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
bool InstantiateInClassInitializer(
SourceLocation PointOfInstantiation, FieldDecl *Instantiation,
FieldDecl *Pattern, const MultiLevelTemplateArgumentList &TemplateArgs);
struct LateInstantiatedAttribute {
const Attr *TmplAttr;
LocalInstantiationScope *Scope;
Decl *NewDecl;
LateInstantiatedAttribute(const Attr *A, LocalInstantiationScope *S,
Decl *D)
: TmplAttr(A), Scope(S), NewDecl(D)
{ }
};
typedef SmallVector<LateInstantiatedAttribute, 16> LateInstantiatedAttrVec;
void InstantiateAttrs(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
bool
InstantiateClassTemplateSpecialization(SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK,
bool Complain = true);
void InstantiateClassMembers(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
void InstantiateClassTemplateSpecializationMembers(
SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK);
NestedNameSpecifierLoc
SubstNestedNameSpecifierLoc(NestedNameSpecifierLoc NNS,
const MultiLevelTemplateArgumentList &TemplateArgs);
DeclarationNameInfo
SubstDeclarationNameInfo(const DeclarationNameInfo &NameInfo,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateName
SubstTemplateName(NestedNameSpecifierLoc QualifierLoc, TemplateName Name,
SourceLocation Loc,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool Subst(const TemplateArgumentLoc *Args, unsigned NumArgs,
TemplateArgumentListInfo &Result,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateExceptionSpec(SourceLocation PointOfInstantiation,
FunctionDecl *Function);
void InstantiateFunctionDefinition(SourceLocation PointOfInstantiation,
FunctionDecl *Function,
bool Recursive = false,
bool DefinitionRequired = false);
VarTemplateSpecializationDecl *BuildVarTemplateInstantiation(
VarTemplateDecl *VarTemplate, VarDecl *FromVar,
const TemplateArgumentList &TemplateArgList,
const TemplateArgumentListInfo &TemplateArgsInfo,
SmallVectorImpl<TemplateArgument> &Converted,
SourceLocation PointOfInstantiation, void *InsertPos,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *StartingScope = nullptr);
VarTemplateSpecializationDecl *CompleteVarTemplateSpecializationDecl(
VarTemplateSpecializationDecl *VarSpec, VarDecl *PatternDecl,
const MultiLevelTemplateArgumentList &TemplateArgs);
void
BuildVariableInstantiation(VarDecl *NewVar, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs,
LateInstantiatedAttrVec *LateAttrs,
DeclContext *Owner,
LocalInstantiationScope *StartingScope,
bool InstantiatingVarTemplate = false);
void InstantiateVariableInitializer(
VarDecl *Var, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateVariableDefinition(SourceLocation PointOfInstantiation,
VarDecl *Var, bool Recursive = false,
bool DefinitionRequired = false);
void InstantiateStaticDataMemberDefinition(
SourceLocation PointOfInstantiation,
VarDecl *Var,
bool Recursive = false,
bool DefinitionRequired = false);
void InstantiateMemInitializers(CXXConstructorDecl *New,
const CXXConstructorDecl *Tmpl,
const MultiLevelTemplateArgumentList &TemplateArgs);
NamedDecl *FindInstantiatedDecl(SourceLocation Loc, NamedDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs);
DeclContext *FindInstantiatedContext(SourceLocation Loc, DeclContext *DC,
const MultiLevelTemplateArgumentList &TemplateArgs);
// Objective-C declarations.
enum ObjCContainerKind {
OCK_None = -1,
OCK_Interface = 0,
OCK_Protocol,
OCK_Category,
OCK_ClassExtension,
OCK_Implementation,
OCK_CategoryImplementation
};
ObjCContainerKind getObjCContainerKind() const;
DeclResult actOnObjCTypeParam(Scope *S,
ObjCTypeParamVariance variance,
SourceLocation varianceLoc,
unsigned index,
IdentifierInfo *paramName,
SourceLocation paramLoc,
SourceLocation colonLoc,
ParsedType typeBound);
ObjCTypeParamList *actOnObjCTypeParamList(Scope *S, SourceLocation lAngleLoc,
ArrayRef<Decl *> typeParams,
SourceLocation rAngleLoc);
void popObjCTypeParamList(Scope *S, ObjCTypeParamList *typeParamList);
Decl *ActOnStartClassInterface(Scope *S,
SourceLocation AtInterfaceLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
ObjCTypeParamList *typeParamList,
IdentifierInfo *SuperName,
SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs,
SourceRange SuperTypeArgsRange,
Decl * const *ProtoRefs,
unsigned NumProtoRefs,
const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc,
AttributeList *AttrList);
void ActOnSuperClassOfClassInterface(Scope *S,
SourceLocation AtInterfaceLoc,
ObjCInterfaceDecl *IDecl,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperName,
SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs,
SourceRange SuperTypeArgsRange);
void ActOnTypedefedProtocols(SmallVectorImpl<Decl *> &ProtocolRefs,
IdentifierInfo *SuperName,
SourceLocation SuperLoc);
Decl *ActOnCompatibilityAlias(
SourceLocation AtCompatibilityAliasLoc,
IdentifierInfo *AliasName, SourceLocation AliasLocation,
IdentifierInfo *ClassName, SourceLocation ClassLocation);
bool CheckForwardProtocolDeclarationForCircularDependency(
IdentifierInfo *PName,
SourceLocation &PLoc, SourceLocation PrevLoc,
const ObjCList<ObjCProtocolDecl> &PList);
Decl *ActOnStartProtocolInterface(
SourceLocation AtProtoInterfaceLoc,
IdentifierInfo *ProtocolName, SourceLocation ProtocolLoc,
Decl * const *ProtoRefNames, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc,
AttributeList *AttrList);
Decl *ActOnStartCategoryInterface(SourceLocation AtInterfaceLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
ObjCTypeParamList *typeParamList,
IdentifierInfo *CategoryName,
SourceLocation CategoryLoc,
Decl * const *ProtoRefs,
unsigned NumProtoRefs,
const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc);
Decl *ActOnStartClassImplementation(
SourceLocation AtClassImplLoc,
IdentifierInfo *ClassName, SourceLocation ClassLoc,
IdentifierInfo *SuperClassname,
SourceLocation SuperClassLoc);
Decl *ActOnStartCategoryImplementation(SourceLocation AtCatImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *CatName,
SourceLocation CatLoc);
DeclGroupPtrTy ActOnFinishObjCImplementation(Decl *ObjCImpDecl,
ArrayRef<Decl *> Decls);
DeclGroupPtrTy ActOnForwardClassDeclaration(SourceLocation Loc,
IdentifierInfo **IdentList,
SourceLocation *IdentLocs,
ArrayRef<ObjCTypeParamList *> TypeParamLists,
unsigned NumElts);
DeclGroupPtrTy ActOnForwardProtocolDeclaration(SourceLocation AtProtoclLoc,
const IdentifierLocPair *IdentList,
unsigned NumElts,
AttributeList *attrList);
void FindProtocolDeclaration(bool WarnOnDeclarations, bool ForObjCContainer,
const IdentifierLocPair *ProtocolId,
unsigned NumProtocols,
SmallVectorImpl<Decl *> &Protocols);
/// Given a list of identifiers (and their locations), resolve the
/// names to either Objective-C protocol qualifiers or type
/// arguments, as appropriate.
void actOnObjCTypeArgsOrProtocolQualifiers(
Scope *S,
ParsedType baseType,
SourceLocation lAngleLoc,
ArrayRef<IdentifierInfo *> identifiers,
ArrayRef<SourceLocation> identifierLocs,
SourceLocation rAngleLoc,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SourceLocation &protocolRAngleLoc,
bool warnOnIncompleteProtocols);
/// Build a an Objective-C protocol-qualified 'id' type where no
/// base type was specified.
TypeResult actOnObjCProtocolQualifierType(
SourceLocation lAngleLoc,
ArrayRef<Decl *> protocols,
ArrayRef<SourceLocation> protocolLocs,
SourceLocation rAngleLoc);
/// Build a specialized and/or protocol-qualified Objective-C type.
TypeResult actOnObjCTypeArgsAndProtocolQualifiers(
Scope *S,
SourceLocation Loc,
ParsedType BaseType,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<ParsedType> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<Decl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc);
/// Build an Objective-C object pointer type.
QualType BuildObjCObjectType(QualType BaseType,
SourceLocation Loc,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<TypeSourceInfo *> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Check the application of the Objective-C '__kindof' qualifier to
/// the given type.
bool checkObjCKindOfType(QualType &type, SourceLocation loc);
/// Ensure attributes are consistent with type.
/// \param [in, out] Attributes The attributes to check; they will
/// be modified to be consistent with \p PropertyTy.
void CheckObjCPropertyAttributes(Decl *PropertyPtrTy,
SourceLocation Loc,
unsigned &Attributes,
bool propertyInPrimaryClass);
/// Process the specified property declaration and create decls for the
/// setters and getters as needed.
/// \param property The property declaration being processed
/// \param CD The semantic container for the property
/// \param redeclaredProperty Declaration for property if redeclared
/// in class extension.
/// \param lexicalDC Container for redeclaredProperty.
void ProcessPropertyDecl(ObjCPropertyDecl *property,
ObjCContainerDecl *CD,
ObjCPropertyDecl *redeclaredProperty = nullptr,
ObjCContainerDecl *lexicalDC = nullptr);
void DiagnosePropertyMismatch(ObjCPropertyDecl *Property,
ObjCPropertyDecl *SuperProperty,
const IdentifierInfo *Name,
bool OverridingProtocolProperty);
void DiagnoseClassExtensionDupMethods(ObjCCategoryDecl *CAT,
ObjCInterfaceDecl *ID);
Decl *ActOnAtEnd(Scope *S, SourceRange AtEnd,
ArrayRef<Decl *> allMethods = None,
ArrayRef<DeclGroupPtrTy> allTUVars = None);
Decl *ActOnProperty(Scope *S, SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD, ObjCDeclSpec &ODS,
Selector GetterSel, Selector SetterSel,
bool *OverridingProperty,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
Decl *ActOnPropertyImplDecl(Scope *S,
SourceLocation AtLoc,
SourceLocation PropertyLoc,
bool ImplKind,
IdentifierInfo *PropertyId,
IdentifierInfo *PropertyIvar,
SourceLocation PropertyIvarLoc);
enum ObjCSpecialMethodKind {
OSMK_None,
OSMK_Alloc,
OSMK_New,
OSMK_Copy,
OSMK_RetainingInit,
OSMK_NonRetainingInit
};
struct ObjCArgInfo {
IdentifierInfo *Name;
SourceLocation NameLoc;
// The Type is null if no type was specified, and the DeclSpec is invalid
// in this case.
ParsedType Type;
ObjCDeclSpec DeclSpec;
/// ArgAttrs - Attribute list for this argument.
AttributeList *ArgAttrs;
};
Decl *ActOnMethodDeclaration(
Scope *S,
SourceLocation BeginLoc, // location of the + or -.
SourceLocation EndLoc, // location of the ; or {.
tok::TokenKind MethodType,
ObjCDeclSpec &ReturnQT, ParsedType ReturnType,
ArrayRef<SourceLocation> SelectorLocs, Selector Sel,
// optional arguments. The number of types/arguments is obtained
// from the Sel.getNumArgs().
ObjCArgInfo *ArgInfo,
DeclaratorChunk::ParamInfo *CParamInfo, unsigned CNumArgs, // c-style args
AttributeList *AttrList, tok::ObjCKeywordKind MethodImplKind,
bool isVariadic, bool MethodDefinition);
ObjCMethodDecl *LookupMethodInQualifiedType(Selector Sel,
const ObjCObjectPointerType *OPT,
bool IsInstance);
ObjCMethodDecl *LookupMethodInObjectType(Selector Sel, QualType Ty,
bool IsInstance);
bool CheckARCMethodDecl(ObjCMethodDecl *method);
bool inferObjCARCLifetime(ValueDecl *decl);
ExprResult
HandleExprPropertyRefExpr(const ObjCObjectPointerType *OPT,
Expr *BaseExpr,
SourceLocation OpLoc,
DeclarationName MemberName,
SourceLocation MemberLoc,
SourceLocation SuperLoc, QualType SuperType,
bool Super);
ExprResult
ActOnClassPropertyRefExpr(IdentifierInfo &receiverName,
IdentifierInfo &propertyName,
SourceLocation receiverNameLoc,
SourceLocation propertyNameLoc);
ObjCMethodDecl *tryCaptureObjCSelf(SourceLocation Loc);
/// \brief Describes the kind of message expression indicated by a message
/// send that starts with an identifier.
enum ObjCMessageKind {
/// \brief The message is sent to 'super'.
ObjCSuperMessage,
/// \brief The message is an instance message.
ObjCInstanceMessage,
/// \brief The message is a class message, and the identifier is a type
/// name.
ObjCClassMessage
};
ObjCMessageKind getObjCMessageKind(Scope *S,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsSuper,
bool HasTrailingDot,
ParsedType &ReceiverType);
ExprResult ActOnSuperMessage(Scope *S, SourceLocation SuperLoc,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildClassMessage(TypeSourceInfo *ReceiverTypeInfo,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildClassMessageImplicit(QualType ReceiverType,
bool isSuperReceiver,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnClassMessage(Scope *S,
ParsedType Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildInstanceMessage(Expr *Receiver,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildInstanceMessageImplicit(Expr *Receiver,
QualType ReceiverType,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnInstanceMessage(Scope *S,
Expr *Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildObjCBridgedCast(SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
TypeSourceInfo *TSInfo,
Expr *SubExpr);
ExprResult ActOnObjCBridgedCast(Scope *S,
SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
ParsedType Type,
SourceLocation RParenLoc,
Expr *SubExpr);
void CheckTollFreeBridgeCast(QualType castType, Expr *castExpr);
void CheckObjCBridgeRelatedCast(QualType castType, Expr *castExpr);
bool CheckTollFreeBridgeStaticCast(QualType castType, Expr *castExpr,
CastKind &Kind);
bool checkObjCBridgeRelatedComponents(SourceLocation Loc,
QualType DestType, QualType SrcType,
ObjCInterfaceDecl *&RelatedClass,
ObjCMethodDecl *&ClassMethod,
ObjCMethodDecl *&InstanceMethod,
TypedefNameDecl *&TDNDecl,
bool CfToNs);
bool CheckObjCBridgeRelatedConversions(SourceLocation Loc,
QualType DestType, QualType SrcType,
Expr *&SrcExpr);
bool ConversionToObjCStringLiteralCheck(QualType DstType, Expr *&SrcExpr);
bool checkInitMethod(ObjCMethodDecl *method, QualType receiverTypeIfCall);
/// \brief Check whether the given new method is a valid override of the
/// given overridden method, and set any properties that should be inherited.
void CheckObjCMethodOverride(ObjCMethodDecl *NewMethod,
const ObjCMethodDecl *Overridden);
/// \brief Describes the compatibility of a result type with its method.
enum ResultTypeCompatibilityKind {
RTC_Compatible,
RTC_Incompatible,
RTC_Unknown
};
void CheckObjCMethodOverrides(ObjCMethodDecl *ObjCMethod,
ObjCInterfaceDecl *CurrentClass,
ResultTypeCompatibilityKind RTC);
enum PragmaOptionsAlignKind {
POAK_Native, // #pragma options align=native
POAK_Natural, // #pragma options align=natural
POAK_Packed, // #pragma options align=packed
POAK_Power, // #pragma options align=power
POAK_Mac68k, // #pragma options align=mac68k
POAK_Reset // #pragma options align=reset
};
/// ActOnPragmaOptionsAlign - Called on well formed \#pragma options align.
void ActOnPragmaOptionsAlign(PragmaOptionsAlignKind Kind,
SourceLocation PragmaLoc);
enum PragmaPackKind {
PPK_Default, // #pragma pack([n])
PPK_Show, // #pragma pack(show), only supported by MSVC.
PPK_Push, // #pragma pack(push, [identifier], [n])
PPK_Pop // #pragma pack(pop, [identifier], [n])
};
enum PragmaMSStructKind {
PMSST_OFF, // #pragms ms_struct off
PMSST_ON // #pragms ms_struct on
};
enum PragmaMSCommentKind {
PCK_Unknown,
PCK_Linker, // #pragma comment(linker, ...)
PCK_Lib, // #pragma comment(lib, ...)
PCK_Compiler, // #pragma comment(compiler, ...)
PCK_ExeStr, // #pragma comment(exestr, ...)
PCK_User // #pragma comment(user, ...)
};
/// ActOnPragmaPack - Called on well formed \#pragma pack(...).
void ActOnPragmaPack(PragmaPackKind Kind,
IdentifierInfo *Name,
Expr *Alignment,
SourceLocation PragmaLoc,
SourceLocation LParenLoc,
SourceLocation RParenLoc);
/// ActOnPragmaMSStruct - Called on well formed \#pragma ms_struct [on|off].
void ActOnPragmaMSStruct(PragmaMSStructKind Kind);
/// ActOnPragmaMSComment - Called on well formed
/// \#pragma comment(kind, "arg").
void ActOnPragmaMSComment(PragmaMSCommentKind Kind, StringRef Arg);
/// ActOnPragmaMSPointersToMembers - called on well formed \#pragma
/// pointers_to_members(representation method[, general purpose
/// representation]).
void ActOnPragmaMSPointersToMembers(
LangOptions::PragmaMSPointersToMembersKind Kind,
SourceLocation PragmaLoc);
/// \brief Called on well formed \#pragma vtordisp().
void ActOnPragmaMSVtorDisp(PragmaVtorDispKind Kind, SourceLocation PragmaLoc,
MSVtorDispAttr::Mode Value);
enum PragmaSectionKind {
PSK_DataSeg,
PSK_BSSSeg,
PSK_ConstSeg,
PSK_CodeSeg,
};
bool UnifySection(StringRef SectionName,
int SectionFlags,
DeclaratorDecl *TheDecl);
bool UnifySection(StringRef SectionName,
int SectionFlags,
SourceLocation PragmaSectionLocation);
/// \brief Called on well formed \#pragma bss_seg/data_seg/const_seg/code_seg.
void ActOnPragmaMSSeg(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
StringLiteral *SegmentName,
llvm::StringRef PragmaName);
/// \brief Called on well formed \#pragma section().
void ActOnPragmaMSSection(SourceLocation PragmaLocation,
int SectionFlags, StringLiteral *SegmentName);
/// \brief Called on well-formed \#pragma init_seg().
void ActOnPragmaMSInitSeg(SourceLocation PragmaLocation,
StringLiteral *SegmentName);
/// ActOnPragmaDetectMismatch - Call on well-formed \#pragma detect_mismatch
void ActOnPragmaDetectMismatch(StringRef Name, StringRef Value);
/// ActOnPragmaUnused - Called on well-formed '\#pragma unused'.
void ActOnPragmaUnused(const Token &Identifier,
Scope *curScope,
SourceLocation PragmaLoc);
/// ActOnPragmaVisibility - Called on well formed \#pragma GCC visibility... .
void ActOnPragmaVisibility(const IdentifierInfo* VisType,
SourceLocation PragmaLoc);
NamedDecl *DeclClonePragmaWeak(NamedDecl *ND, IdentifierInfo *II,
SourceLocation Loc);
void DeclApplyPragmaWeak(Scope *S, NamedDecl *ND, WeakInfo &W);
/// ActOnPragmaWeakID - Called on well formed \#pragma weak ident.
void ActOnPragmaWeakID(IdentifierInfo* WeakName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc);
/// ActOnPragmaRedefineExtname - Called on well formed
/// \#pragma redefine_extname oldname newname.
void ActOnPragmaRedefineExtname(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaWeakAlias - Called on well formed \#pragma weak ident = ident.
void ActOnPragmaWeakAlias(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaFPContract - Called on well formed
/// \#pragma {STDC,OPENCL} FP_CONTRACT
void ActOnPragmaFPContract(tok::OnOffSwitch OOS);
/// AddAlignmentAttributesForRecord - Adds any needed alignment attributes to
/// a the record decl, to handle '\#pragma pack' and '\#pragma options align'.
void AddAlignmentAttributesForRecord(RecordDecl *RD);
/// AddMsStructLayoutForRecord - Adds ms_struct layout attribute to record.
void AddMsStructLayoutForRecord(RecordDecl *RD);
/// FreePackedContext - Deallocate and null out PackContext.
void FreePackedContext();
/// PushNamespaceVisibilityAttr - Note that we've entered a
/// namespace with a visibility attribute.
void PushNamespaceVisibilityAttr(const VisibilityAttr *Attr,
SourceLocation Loc);
/// AddPushedVisibilityAttribute - If '\#pragma GCC visibility' was used,
/// add an appropriate visibility attribute.
void AddPushedVisibilityAttribute(Decl *RD);
/// PopPragmaVisibility - Pop the top element of the visibility stack; used
/// for '\#pragma GCC visibility' and visibility attributes on namespaces.
void PopPragmaVisibility(bool IsNamespaceEnd, SourceLocation EndLoc);
/// FreeVisContext - Deallocate and null out VisContext.
void FreeVisContext();
/// AddCFAuditedAttribute - Check whether we're currently within
/// '\#pragma clang arc_cf_code_audited' and, if so, consider adding
/// the appropriate attribute.
void AddCFAuditedAttribute(Decl *D);
/// \brief Called on well formed \#pragma clang optimize.
void ActOnPragmaOptimize(bool On, SourceLocation PragmaLoc);
/// \brief Get the location for the currently active "\#pragma clang optimize
/// off". If this location is invalid, then the state of the pragma is "on".
SourceLocation getOptimizeOffPragmaLocation() const {
return OptimizeOffPragmaLocation;
}
/// \brief Only called on function definitions; if there is a pragma in scope
/// with the effect of a range-based optnone, consider marking the function
/// with attribute optnone.
void AddRangeBasedOptnone(FunctionDecl *FD);
/// \brief Adds the 'optnone' attribute to the function declaration if there
/// are no conflicts; Loc represents the location causing the 'optnone'
/// attribute to be added (usually because of a pragma).
void AddOptnoneAttributeIfNoConflicts(FunctionDecl *FD, SourceLocation Loc);
/// AddAlignedAttr - Adds an aligned attribute to a particular declaration.
void AddAlignedAttr(SourceRange AttrRange, Decl *D, Expr *E,
unsigned SpellingListIndex, bool IsPackExpansion);
void AddAlignedAttr(SourceRange AttrRange, Decl *D, TypeSourceInfo *T,
unsigned SpellingListIndex, bool IsPackExpansion);
/// AddAssumeAlignedAttr - Adds an assume_aligned attribute to a particular
/// declaration.
void AddAssumeAlignedAttr(SourceRange AttrRange, Decl *D, Expr *E, Expr *OE,
unsigned SpellingListIndex);
/// AddAlignValueAttr - Adds an align_value attribute to a particular
/// declaration.
void AddAlignValueAttr(SourceRange AttrRange, Decl *D, Expr *E,
unsigned SpellingListIndex);
/// AddLaunchBoundsAttr - Adds a launch_bounds attribute to a particular
/// declaration.
void AddLaunchBoundsAttr(SourceRange AttrRange, Decl *D, Expr *MaxThreads,
Expr *MinBlocks, unsigned SpellingListIndex);
// OpenMP directives and clauses.
private:
void *VarDataSharingAttributesStack;
/// \brief Initialization of data-sharing attributes stack.
void InitDataSharingAttributesStack();
void DestroyDataSharingAttributesStack();
ExprResult VerifyPositiveIntegerConstantInClause(Expr *Op,
OpenMPClauseKind CKind);
public:
/// \brief Check if the specified variable is used in a private clause in
/// Checks if the specified variable is used in one of the private
/// clauses in OpenMP constructs.
bool IsOpenMPCapturedVar(VarDecl *VD);
/// OpenMP constructs.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPPrivateVar(VarDecl *VD, unsigned Level);
ExprResult PerformOpenMPImplicitIntegerConversion(SourceLocation OpLoc,
Expr *Op);
/// \brief Called on start of new data sharing attribute block.
void StartOpenMPDSABlock(OpenMPDirectiveKind K,
const DeclarationNameInfo &DirName, Scope *CurScope,
SourceLocation Loc);
/// \brief Start analysis of clauses.
void StartOpenMPClause(OpenMPClauseKind K);
/// \brief End analysis of clauses.
void EndOpenMPClause();
/// \brief Called on end of data sharing attribute block.
void EndOpenMPDSABlock(Stmt *CurDirective);
/// \brief Check if the current region is an OpenMP loop region and if it is,
/// mark loop control variable, used in \p Init for loop initialization, as
/// private by default.
/// \param Init First part of the for loop.
void ActOnOpenMPLoopInitialization(SourceLocation ForLoc, Stmt *Init);
// OpenMP directives and clauses.
/// \brief Called on correct id-expression from the '#pragma omp
/// threadprivate'.
ExprResult ActOnOpenMPIdExpression(Scope *CurScope,
CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id);
/// \brief Called on well-formed '#pragma omp threadprivate'.
DeclGroupPtrTy ActOnOpenMPThreadprivateDirective(
SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// \brief Builds a new OpenMPThreadPrivateDecl and checks its correctness.
OMPThreadPrivateDecl *CheckOMPThreadPrivateDecl(
SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// \brief Initialization of captured region for OpenMP region.
void ActOnOpenMPRegionStart(OpenMPDirectiveKind DKind, Scope *CurScope);
/// \brief End of OpenMP region.
///
/// \param S Statement associated with the current OpenMP region.
/// \param Clauses List of clauses for the current OpenMP region.
///
/// \returns Statement for finished OpenMP region.
StmtResult ActOnOpenMPRegionEnd(StmtResult S, ArrayRef<OMPClause *> Clauses);
StmtResult ActOnOpenMPExecutableDirective(
OpenMPDirectiveKind Kind, const DeclarationNameInfo &DirName,
OpenMPDirectiveKind CancelRegion, ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc, SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp parallel' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<VarDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp for' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<VarDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp for simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<VarDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp sections' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp section' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSectionDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp single' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSingleDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp master' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp critical' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPCriticalDirective(const DeclarationNameInfo &DirName,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp parallel for' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<VarDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc,
llvm::DenseMap<VarDecl *, Expr *> &VarsWithImplicitDSA);
/// \brief Called on well-formed '\#pragma omp parallel sections' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp task' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTaskDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp taskyield'.
StmtResult ActOnOpenMPTaskyieldDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp barrier'.
StmtResult ActOnOpenMPBarrierDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp taskwait'.
StmtResult ActOnOpenMPTaskwaitDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp taskgroup'.
StmtResult ActOnOpenMPTaskgroupDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp flush'.
StmtResult ActOnOpenMPFlushDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp ordered' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPOrderedDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp atomic' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPAtomicDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp target' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed '\#pragma omp cancellation point'.
StmtResult
ActOnOpenMPCancellationPointDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// \brief Called on well-formed '\#pragma omp cancel'.
StmtResult ActOnOpenMPCancelDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
OMPClause *ActOnOpenMPSingleExprClause(OpenMPClauseKind Kind,
Expr *Expr,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'if' clause.
OMPClause *ActOnOpenMPIfClause(Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'final' clause.
OMPClause *ActOnOpenMPFinalClause(Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'num_threads' clause.
OMPClause *ActOnOpenMPNumThreadsClause(Expr *NumThreads,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'safelen' clause.
OMPClause *ActOnOpenMPSafelenClause(Expr *Length,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'collapse' clause.
OMPClause *ActOnOpenMPCollapseClause(Expr *NumForLoops,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSimpleClause(OpenMPClauseKind Kind,
unsigned Argument,
SourceLocation ArgumentLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'default' clause.
OMPClause *ActOnOpenMPDefaultClause(OpenMPDefaultClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'proc_bind' clause.
OMPClause *ActOnOpenMPProcBindClause(OpenMPProcBindClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSingleExprWithArgClause(OpenMPClauseKind Kind,
unsigned Argument, Expr *Expr,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ArgumentLoc,
SourceLocation CommaLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'schedule' clause.
OMPClause *ActOnOpenMPScheduleClause(OpenMPScheduleClauseKind Kind,
Expr *ChunkSize, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation KindLoc,
SourceLocation CommaLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPClause(OpenMPClauseKind Kind, SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'ordered' clause.
OMPClause *ActOnOpenMPOrderedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'nowait' clause.
OMPClause *ActOnOpenMPNowaitClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'untied' clause.
OMPClause *ActOnOpenMPUntiedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'mergeable' clause.
OMPClause *ActOnOpenMPMergeableClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'read' clause.
OMPClause *ActOnOpenMPReadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'write' clause.
OMPClause *ActOnOpenMPWriteClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'update' clause.
OMPClause *ActOnOpenMPUpdateClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'capture' clause.
OMPClause *ActOnOpenMPCaptureClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'seq_cst' clause.
OMPClause *ActOnOpenMPSeqCstClause(SourceLocation StartLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPVarListClause(
OpenMPClauseKind Kind, ArrayRef<Expr *> Vars, Expr *TailExpr,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId, OpenMPDependClauseKind DepKind,
SourceLocation DepLoc);
/// \brief Called on well-formed 'private' clause.
OMPClause *ActOnOpenMPPrivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'firstprivate' clause.
OMPClause *ActOnOpenMPFirstprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'lastprivate' clause.
OMPClause *ActOnOpenMPLastprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'shared' clause.
OMPClause *ActOnOpenMPSharedClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'reduction' clause.
OMPClause *
ActOnOpenMPReductionClause(ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc,
SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId);
/// \brief Called on well-formed 'linear' clause.
OMPClause *ActOnOpenMPLinearClause(ArrayRef<Expr *> VarList,
Expr *Step,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'aligned' clause.
OMPClause *ActOnOpenMPAlignedClause(ArrayRef<Expr *> VarList,
Expr *Alignment,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'copyin' clause.
OMPClause *ActOnOpenMPCopyinClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'copyprivate' clause.
OMPClause *ActOnOpenMPCopyprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'flush' pseudo clause.
OMPClause *ActOnOpenMPFlushClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief Called on well-formed 'depend' clause.
OMPClause *
ActOnOpenMPDependClause(OpenMPDependClauseKind DepKind, SourceLocation DepLoc,
SourceLocation ColonLoc, ArrayRef<Expr *> VarList,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation EndLoc);
/// \brief The kind of conversion being performed.
enum CheckedConversionKind {
/// \brief An implicit conversion.
CCK_ImplicitConversion,
/// \brief A C-style cast.
CCK_CStyleCast,
/// \brief A functional-style cast.
CCK_FunctionalCast,
/// \brief A cast other than a C-style cast.
CCK_OtherCast
};
/// ImpCastExprToType - If Expr is not of type 'Type', insert an implicit
/// cast. If there is already an implicit cast, merge into the existing one.
/// If isLvalue, the result of the cast is an lvalue.
ExprResult ImpCastExprToType(Expr *E, QualType Type, CastKind CK,
ExprValueKind VK = VK_RValue,
const CXXCastPath *BasePath = nullptr,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
/// ScalarTypeToBooleanCastKind - Returns the cast kind corresponding
/// to the conversion from scalar type ScalarTy to the Boolean type.
static CastKind ScalarTypeToBooleanCastKind(QualType ScalarTy);
/// IgnoredValueConversions - Given that an expression's result is
/// syntactically ignored, perform any conversions that are
/// required.
ExprResult IgnoredValueConversions(Expr *E);
// UsualUnaryConversions - promotes integers (C99 6.3.1.1p2) and converts
// functions and arrays to their respective pointers (C99 6.3.2.1).
ExprResult UsualUnaryConversions(Expr *E);
/// CallExprUnaryConversions - a special case of an unary conversion
/// performed on a function designator of a call expression.
ExprResult CallExprUnaryConversions(Expr *E);
// DefaultFunctionArrayConversion - converts functions and arrays
// to their respective pointers (C99 6.3.2.1).
ExprResult DefaultFunctionArrayConversion(Expr *E);
// DefaultFunctionArrayLvalueConversion - converts functions and
// arrays to their respective pointers and performs the
// lvalue-to-rvalue conversion.
ExprResult DefaultFunctionArrayLvalueConversion(Expr *E);
// DefaultLvalueConversion - performs lvalue-to-rvalue conversion on
// the operand. This is DefaultFunctionArrayLvalueConversion,
// except that it assumes the operand isn't of function or array
// type.
ExprResult DefaultLvalueConversion(Expr *E);
// DefaultArgumentPromotion (C99 6.5.2.2p6). Used for function calls that
// do not have a prototype. Integer promotions are performed on each
// argument, and arguments that have type float are promoted to double.
ExprResult DefaultArgumentPromotion(Expr *E);
// Used for emitting the right warning by DefaultVariadicArgumentPromotion
enum VariadicCallType {
VariadicFunction,
VariadicBlock,
VariadicMethod,
VariadicConstructor,
VariadicDoesNotApply
};
VariadicCallType getVariadicCallType(FunctionDecl *FDecl,
const FunctionProtoType *Proto,
Expr *Fn);
// Used for determining in which context a type is allowed to be passed to a
// vararg function.
enum VarArgKind {
VAK_Valid,
VAK_ValidInCXX11,
VAK_Undefined,
VAK_MSVCUndefined,
VAK_Invalid
};
// Determines which VarArgKind fits an expression.
VarArgKind isValidVarArgType(const QualType &Ty);
/// Check to see if the given expression is a valid argument to a variadic
/// function, issuing a diagnostic if not.
void checkVariadicArgument(const Expr *E, VariadicCallType CT);
/// Check to see if a given expression could have '.c_str()' called on it.
bool hasCStrMethod(const Expr *E);
/// GatherArgumentsForCall - Collector argument expressions for various
/// form of call prototypes.
bool GatherArgumentsForCall(SourceLocation CallLoc, FunctionDecl *FDecl,
const FunctionProtoType *Proto,
unsigned FirstParam, ArrayRef<Expr *> Args,
SmallVectorImpl<Expr *> &AllArgs,
VariadicCallType CallType = VariadicDoesNotApply,
bool AllowExplicit = false,
bool IsListInitialization = false);
// DefaultVariadicArgumentPromotion - Like DefaultArgumentPromotion, but
// will create a runtime trap if the resulting type is not a POD type.
ExprResult DefaultVariadicArgumentPromotion(Expr *E, VariadicCallType CT,
FunctionDecl *FDecl);
// UsualArithmeticConversions - performs the UsualUnaryConversions on it's
// operands and then handles various conversions that are common to binary
// operators (C99 6.3.1.8). If both operands aren't arithmetic, this
// routine returns the first non-arithmetic type found. The client is
// responsible for emitting appropriate error diagnostics.
QualType UsualArithmeticConversions(ExprResult &LHS, ExprResult &RHS,
bool IsCompAssign = false);
/// AssignConvertType - All of the 'assignment' semantic checks return this
/// enum to indicate whether the assignment was allowed. These checks are
/// done for simple assignments, as well as initialization, return from
/// function, argument passing, etc. The query is phrased in terms of a
/// source and destination type.
enum AssignConvertType {
/// Compatible - the types are compatible according to the standard.
Compatible,
/// PointerToInt - The assignment converts a pointer to an int, which we
/// accept as an extension.
PointerToInt,
/// IntToPointer - The assignment converts an int to a pointer, which we
/// accept as an extension.
IntToPointer,
/// FunctionVoidPointer - The assignment is between a function pointer and
/// void*, which the standard doesn't allow, but we accept as an extension.
FunctionVoidPointer,
/// IncompatiblePointer - The assignment is between two pointers types that
/// are not compatible, but we accept them as an extension.
IncompatiblePointer,
/// IncompatiblePointer - The assignment is between two pointers types which
/// point to integers which have a different sign, but are otherwise
/// identical. This is a subset of the above, but broken out because it's by
/// far the most common case of incompatible pointers.
IncompatiblePointerSign,
/// CompatiblePointerDiscardsQualifiers - The assignment discards
/// c/v/r qualifiers, which we accept as an extension.
CompatiblePointerDiscardsQualifiers,
/// IncompatiblePointerDiscardsQualifiers - The assignment
/// discards qualifiers that we don't permit to be discarded,
/// like address spaces.
IncompatiblePointerDiscardsQualifiers,
/// IncompatibleNestedPointerQualifiers - The assignment is between two
/// nested pointer types, and the qualifiers other than the first two
/// levels differ e.g. char ** -> const char **, but we accept them as an
/// extension.
IncompatibleNestedPointerQualifiers,
/// IncompatibleVectors - The assignment is between two vector types that
/// have the same size, which we accept as an extension.
IncompatibleVectors,
/// IntToBlockPointer - The assignment converts an int to a block
/// pointer. We disallow this.
IntToBlockPointer,
/// IncompatibleBlockPointer - The assignment is between two block
/// pointers types that are not compatible.
IncompatibleBlockPointer,
/// IncompatibleObjCQualifiedId - The assignment is between a qualified
/// id type and something else (that is incompatible with it). For example,
/// "id <XXX>" = "Foo *", where "Foo *" doesn't implement the XXX protocol.
IncompatibleObjCQualifiedId,
/// IncompatibleObjCWeakRef - Assigning a weak-unavailable object to an
/// object with __weak qualifier.
IncompatibleObjCWeakRef,
/// Incompatible - We reject this conversion outright, it is invalid to
/// represent it in the AST.
Incompatible
};
/// DiagnoseAssignmentResult - Emit a diagnostic, if required, for the
/// assignment conversion type specified by ConvTy. This returns true if the
/// conversion was invalid or false if the conversion was accepted.
bool DiagnoseAssignmentResult(AssignConvertType ConvTy,
SourceLocation Loc,
QualType DstType, QualType SrcType,
Expr *SrcExpr, AssignmentAction Action,
bool *Complained = nullptr);
/// IsValueInFlagEnum - Determine if a value is allowed as part of a flag
/// enum. If AllowMask is true, then we also allow the complement of a valid
/// value, to be used as a mask.
bool IsValueInFlagEnum(const EnumDecl *ED, const llvm::APInt &Val,
bool AllowMask) const;
/// DiagnoseAssignmentEnum - Warn if assignment to enum is a constant
/// integer not in the range of enum values.
void DiagnoseAssignmentEnum(QualType DstType, QualType SrcType,
Expr *SrcExpr);
/// CheckAssignmentConstraints - Perform type checking for assignment,
/// argument passing, variable initialization, and function return values.
/// C99 6.5.16.
AssignConvertType CheckAssignmentConstraints(SourceLocation Loc,
QualType LHSType,
QualType RHSType);
/// Check assignment constraints and prepare for a conversion of the
/// RHS to the LHS type.
AssignConvertType CheckAssignmentConstraints(QualType LHSType,
ExprResult &RHS,
CastKind &Kind);
// CheckSingleAssignmentConstraints - Currently used by
// CheckAssignmentOperands, and ActOnReturnStmt. Prior to type checking,
// this routine performs the default function/array converions.
AssignConvertType CheckSingleAssignmentConstraints(QualType LHSType,
ExprResult &RHS,
bool Diagnose = true,
bool DiagnoseCFAudited = false);
// \brief If the lhs type is a transparent union, check whether we
// can initialize the transparent union with the given expression.
AssignConvertType CheckTransparentUnionArgumentConstraints(QualType ArgType,
ExprResult &RHS);
bool IsStringLiteralToNonConstPointerConversion(Expr *From, QualType ToType);
bool CheckExceptionSpecCompatibility(Expr *From, QualType ToType);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit = false);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit,
ImplicitConversionSequence& ICS);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const ImplicitConversionSequence& ICS,
AssignmentAction Action,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const StandardConversionSequence& SCS,
AssignmentAction Action,
CheckedConversionKind CCK);
/// the following "Check" methods will return a valid/converted QualType
/// or a null QualType (indicating an error diagnostic was issued).
/// type checking binary operators (subroutines of CreateBuiltinBinOp).
QualType InvalidOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType CheckPointerToMemberOperands( // C++ 5.5
ExprResult &LHS, ExprResult &RHS, ExprValueKind &VK,
SourceLocation OpLoc, bool isIndirect);
QualType CheckMultiplyDivideOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, bool IsCompAssign,
bool IsDivide);
QualType CheckRemainderOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
bool IsCompAssign = false);
QualType CheckAdditionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, unsigned Opc,
QualType* CompLHSTy = nullptr);
QualType CheckSubtractionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
QualType* CompLHSTy = nullptr);
QualType CheckShiftOperands( // C99 6.5.7
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, unsigned Opc,
bool IsCompAssign = false);
QualType CheckCompareOperands( // C99 6.5.8/9
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, unsigned OpaqueOpc,
bool isRelational);
QualType CheckBitwiseOperands( // C99 6.5.[10...12]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
bool IsCompAssign = false);
QualType CheckLogicalOperands( // C99 6.5.[13,14]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, unsigned Opc);
// CheckAssignmentOperands is used for both simple and compound assignment.
// For simple assignment, pass both expressions and a null converted type.
// For compound assignment, pass both expressions and the converted type.
QualType CheckAssignmentOperands( // C99 6.5.16.[1,2]
Expr *LHSExpr, ExprResult &RHS, SourceLocation Loc, QualType CompoundType);
ExprResult checkPseudoObjectIncDec(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opcode, Expr *Op);
ExprResult checkPseudoObjectAssignment(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opcode,
Expr *LHS, Expr *RHS);
ExprResult checkPseudoObjectRValue(Expr *E);
Expr *recreateSyntacticForm(PseudoObjectExpr *E);
QualType CheckConditionalOperands( // C99 6.5.15
ExprResult &Cond, ExprResult &LHS, ExprResult &RHS,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation QuestionLoc);
QualType CXXCheckConditionalOperands( // C++ 5.16
ExprResult &cond, ExprResult &lhs, ExprResult &rhs,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation questionLoc);
QualType FindCompositePointerType(SourceLocation Loc, Expr *&E1, Expr *&E2,
bool *NonStandardCompositeType = nullptr);
QualType FindCompositePointerType(SourceLocation Loc,
ExprResult &E1, ExprResult &E2,
bool *NonStandardCompositeType = nullptr) {
Expr *E1Tmp = E1.get(), *E2Tmp = E2.get();
QualType Composite = FindCompositePointerType(Loc, E1Tmp, E2Tmp,
NonStandardCompositeType);
E1 = E1Tmp;
E2 = E2Tmp;
return Composite;
}
QualType FindCompositeObjCPointerType(ExprResult &LHS, ExprResult &RHS,
SourceLocation QuestionLoc);
bool DiagnoseConditionalForNull(Expr *LHSExpr, Expr *RHSExpr,
SourceLocation QuestionLoc);
void DiagnoseAlwaysNonNullPointer(Expr *E,
Expr::NullPointerConstantKind NullType,
bool IsEqual, SourceRange Range);
/// type checking for vector binary operators.
QualType CheckVectorOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool IsCompAssign,
bool AllowBothBool, bool AllowBoolConversion);
QualType GetSignedVectorType(QualType V);
QualType CheckVectorCompareOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool isRelational);
QualType CheckVectorLogicalOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc);
bool isLaxVectorConversion(QualType srcType, QualType destType);
/// type checking declaration initializers (C99 6.7.8)
bool CheckForConstantInitializer(Expr *e, QualType t);
// type checking C++ declaration initializers (C++ [dcl.init]).
/// ReferenceCompareResult - Expresses the result of comparing two
/// types (cv1 T1 and cv2 T2) to determine their compatibility for the
/// purposes of initialization by reference (C++ [dcl.init.ref]p4).
enum ReferenceCompareResult {
/// Ref_Incompatible - The two types are incompatible, so direct
/// reference binding is not possible.
Ref_Incompatible = 0,
/// Ref_Related - The two types are reference-related, which means
/// that their unqualified forms (T1 and T2) are either the same
/// or T1 is a base class of T2.
Ref_Related,
/// Ref_Compatible_With_Added_Qualification - The two types are
/// reference-compatible with added qualification, meaning that
/// they are reference-compatible and the qualifiers on T1 (cv1)
/// are greater than the qualifiers on T2 (cv2).
Ref_Compatible_With_Added_Qualification,
/// Ref_Compatible - The two types are reference-compatible and
/// have equivalent qualifiers (cv1 == cv2).
Ref_Compatible
};
ReferenceCompareResult CompareReferenceRelationship(SourceLocation Loc,
QualType T1, QualType T2,
bool &DerivedToBase,
bool &ObjCConversion,
bool &ObjCLifetimeConversion);
ExprResult checkUnknownAnyCast(SourceRange TypeRange, QualType CastType,
Expr *CastExpr, CastKind &CastKind,
ExprValueKind &VK, CXXCastPath &Path);
/// \brief Force an expression with unknown-type to an expression of the
/// given type.
ExprResult forceUnknownAnyToType(Expr *E, QualType ToType);
/// \brief Type-check an expression that's being passed to an
/// __unknown_anytype parameter.
ExprResult checkUnknownAnyArg(SourceLocation callLoc,
Expr *result, QualType ¶mType);
// CheckVectorCast - check type constraints for vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size.
// returns true if the cast is invalid
bool CheckVectorCast(SourceRange R, QualType VectorTy, QualType Ty,
CastKind &Kind);
// CheckExtVectorCast - check type constraints for extended vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size,
// or vectors and the element type of that vector.
// returns the cast expr
ExprResult CheckExtVectorCast(SourceRange R, QualType DestTy, Expr *CastExpr,
CastKind &Kind);
ExprResult BuildCXXFunctionalCastExpr(TypeSourceInfo *TInfo,
SourceLocation LParenLoc,
Expr *CastExpr,
SourceLocation RParenLoc);
enum ARCConversionResult { ACR_okay, ACR_unbridged };
/// \brief Checks for invalid conversions and casts between
/// retainable pointers and other pointer kinds.
ARCConversionResult CheckObjCARCConversion(SourceRange castRange,
QualType castType, Expr *&op,
CheckedConversionKind CCK,
bool DiagnoseCFAudited = false,
BinaryOperatorKind Opc = BO_PtrMemD
);
Expr *stripARCUnbridgedCast(Expr *e);
void diagnoseARCUnbridgedCast(Expr *e);
bool CheckObjCARCUnavailableWeakConversion(QualType castType,
QualType ExprType);
/// checkRetainCycles - Check whether an Objective-C message send
/// might create an obvious retain cycle.
void checkRetainCycles(ObjCMessageExpr *msg);
void checkRetainCycles(Expr *receiver, Expr *argument);
void checkRetainCycles(VarDecl *Var, Expr *Init);
/// checkUnsafeAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained type.
bool checkUnsafeAssigns(SourceLocation Loc, QualType LHS, Expr *RHS);
/// checkUnsafeExprAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained expression.
void checkUnsafeExprAssigns(SourceLocation Loc, Expr *LHS, Expr *RHS);
/// CheckMessageArgumentTypes - Check types in an Obj-C message send.
/// \param Method - May be null.
/// \param [out] ReturnType - The return type of the send.
/// \return true iff there were any incompatible types.
bool CheckMessageArgumentTypes(QualType ReceiverType,
MultiExprArg Args, Selector Sel,
ArrayRef<SourceLocation> SelectorLocs,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage,
SourceLocation lbrac, SourceLocation rbrac,
SourceRange RecRange,
QualType &ReturnType, ExprValueKind &VK);
/// \brief Determine the result of a message send expression based on
/// the type of the receiver, the method expected to receive the message,
/// and the form of the message send.
QualType getMessageSendResultType(QualType ReceiverType,
ObjCMethodDecl *Method,
bool isClassMessage, bool isSuperMessage);
/// \brief If the given expression involves a message send to a method
/// with a related result type, emit a note describing what happened.
void EmitRelatedResultTypeNote(const Expr *E);
/// \brief Given that we had incompatible pointer types in a return
/// statement, check whether we're in a method with a related result
/// type, and if so, emit a note describing what happened.
void EmitRelatedResultTypeNoteForReturn(QualType destType);
/// CheckBooleanCondition - Diagnose problems involving the use of
/// the given expression as a boolean condition (e.g. in an if
/// statement). Also performs the standard function and array
/// decays, possibly changing the input variable.
///
/// \param Loc - A location associated with the condition, e.g. the
/// 'if' keyword.
/// \return true iff there were any errors
ExprResult CheckBooleanCondition(Expr *E, SourceLocation Loc);
ExprResult ActOnBooleanCondition(Scope *S, SourceLocation Loc,
Expr *SubExpr);
/// DiagnoseAssignmentAsCondition - Given that an expression is
/// being used as a boolean condition, warn if it's an assignment.
void DiagnoseAssignmentAsCondition(Expr *E);
/// \brief Redundant parentheses over an equality comparison can indicate
/// that the user intended an assignment used as condition.
void DiagnoseEqualityWithExtraParens(ParenExpr *ParenE);
/// CheckCXXBooleanCondition - Returns true if conversion to bool is invalid.
ExprResult CheckCXXBooleanCondition(Expr *CondExpr);
/// ConvertIntegerToTypeWarnOnOverflow - Convert the specified APInt to have
/// the specified width and sign. If an overflow occurs, detect it and emit
/// the specified diagnostic.
void ConvertIntegerToTypeWarnOnOverflow(llvm::APSInt &OldVal,
unsigned NewWidth, bool NewSign,
SourceLocation Loc, unsigned DiagID);
/// Checks that the Objective-C declaration is declared in the global scope.
/// Emits an error and marks the declaration as invalid if it's not declared
/// in the global scope.
bool CheckObjCDeclScope(Decl *D);
/// \brief Abstract base class used for diagnosing integer constant
/// expression violations.
class VerifyICEDiagnoser {
public:
bool Suppress;
VerifyICEDiagnoser(bool Suppress = false) : Suppress(Suppress) { }
virtual void diagnoseNotICE(Sema &S, SourceLocation Loc, SourceRange SR) =0;
virtual void diagnoseFold(Sema &S, SourceLocation Loc, SourceRange SR);
virtual ~VerifyICEDiagnoser() { }
};
/// VerifyIntegerConstantExpression - Verifies that an expression is an ICE,
/// and reports the appropriate diagnostics. Returns false on success.
/// Can optionally return the value of the expression.
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
VerifyICEDiagnoser &Diagnoser,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
unsigned DiagID,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E,
llvm::APSInt *Result = nullptr);
/// VerifyBitField - verifies that a bit field expression is an ICE and has
/// the correct width, and that the field type is valid.
/// Returns false on success.
/// Can optionally return whether the bit-field is of width 0
ExprResult VerifyBitField(SourceLocation FieldLoc, IdentifierInfo *FieldName,
QualType FieldTy, bool IsMsStruct,
Expr *BitWidth, bool *ZeroWidth = nullptr);
enum CUDAFunctionTarget {
CFT_Device,
CFT_Global,
CFT_Host,
CFT_HostDevice,
CFT_InvalidTarget
};
CUDAFunctionTarget IdentifyCUDATarget(const FunctionDecl *D);
bool CheckCUDATarget(const FunctionDecl *Caller, const FunctionDecl *Callee);
/// Given a implicit special member, infer its CUDA target from the
/// calls it needs to make to underlying base/field special members.
/// \param ClassDecl the class for which the member is being created.
/// \param CSM the kind of special member.
/// \param MemberDecl the special member itself.
/// \param ConstRHS true if this is a copy operation with a const object on
/// its RHS.
/// \param Diagnose true if this call should emit diagnostics.
/// \return true if there was an error inferring.
/// The result of this call is implicit CUDA target attribute(s) attached to
/// the member declaration.
bool inferCUDATargetForImplicitSpecialMember(CXXRecordDecl *ClassDecl,
CXXSpecialMember CSM,
CXXMethodDecl *MemberDecl,
bool ConstRHS,
bool Diagnose);
/// \name Code completion
//@{
/// \brief Describes the context in which code completion occurs.
enum ParserCompletionContext {
/// \brief Code completion occurs at top-level or namespace context.
PCC_Namespace,
/// \brief Code completion occurs within a class, struct, or union.
PCC_Class,
/// \brief Code completion occurs within an Objective-C interface, protocol,
/// or category.
PCC_ObjCInterface,
/// \brief Code completion occurs within an Objective-C implementation or
/// category implementation
PCC_ObjCImplementation,
/// \brief Code completion occurs within the list of instance variables
/// in an Objective-C interface, protocol, category, or implementation.
PCC_ObjCInstanceVariableList,
/// \brief Code completion occurs following one or more template
/// headers.
PCC_Template,
/// \brief Code completion occurs following one or more template
/// headers within a class.
PCC_MemberTemplate,
/// \brief Code completion occurs within an expression.
PCC_Expression,
/// \brief Code completion occurs within a statement, which may
/// also be an expression or a declaration.
PCC_Statement,
/// \brief Code completion occurs at the beginning of the
/// initialization statement (or expression) in a for loop.
PCC_ForInit,
/// \brief Code completion occurs within the condition of an if,
/// while, switch, or for statement.
PCC_Condition,
/// \brief Code completion occurs within the body of a function on a
/// recovery path, where we do not have a specific handle on our position
/// in the grammar.
PCC_RecoveryInFunction,
/// \brief Code completion occurs where only a type is permitted.
PCC_Type,
/// \brief Code completion occurs in a parenthesized expression, which
/// might also be a type cast.
PCC_ParenthesizedExpression,
/// \brief Code completion occurs within a sequence of declaration
/// specifiers within a function, method, or block.
PCC_LocalDeclarationSpecifiers
};
void CodeCompleteModuleImport(SourceLocation ImportLoc, ModuleIdPath Path);
void CodeCompleteOrdinaryName(Scope *S,
ParserCompletionContext CompletionContext);
void CodeCompleteDeclSpec(Scope *S, DeclSpec &DS,
bool AllowNonIdentifiers,
bool AllowNestedNameSpecifiers);
struct CodeCompleteExpressionData;
void CodeCompleteExpression(Scope *S,
const CodeCompleteExpressionData &Data);
void CodeCompleteMemberReferenceExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
bool IsArrow);
void CodeCompletePostfixExpression(Scope *S, ExprResult LHS);
void CodeCompleteTag(Scope *S, unsigned TagSpec);
void CodeCompleteTypeQualifiers(DeclSpec &DS);
void CodeCompleteCase(Scope *S);
void CodeCompleteCall(Scope *S, Expr *Fn, ArrayRef<Expr *> Args);
void CodeCompleteConstructor(Scope *S, QualType Type, SourceLocation Loc,
ArrayRef<Expr *> Args);
void CodeCompleteInitializer(Scope *S, Decl *D);
void CodeCompleteReturn(Scope *S);
void CodeCompleteAfterIf(Scope *S);
void CodeCompleteAssignmentRHS(Scope *S, Expr *LHS);
void CodeCompleteQualifiedId(Scope *S, CXXScopeSpec &SS,
bool EnteringContext);
void CodeCompleteUsing(Scope *S);
void CodeCompleteUsingDirective(Scope *S);
void CodeCompleteNamespaceDecl(Scope *S);
void CodeCompleteNamespaceAliasDecl(Scope *S);
void CodeCompleteOperatorName(Scope *S);
void CodeCompleteConstructorInitializer(
Decl *Constructor,
ArrayRef<CXXCtorInitializer *> Initializers);
void CodeCompleteLambdaIntroducer(Scope *S, LambdaIntroducer &Intro,
bool AfterAmpersand);
void CodeCompleteObjCAtDirective(Scope *S);
void CodeCompleteObjCAtVisibility(Scope *S);
void CodeCompleteObjCAtStatement(Scope *S);
void CodeCompleteObjCAtExpression(Scope *S);
void CodeCompleteObjCPropertyFlags(Scope *S, ObjCDeclSpec &ODS);
void CodeCompleteObjCPropertyGetter(Scope *S);
void CodeCompleteObjCPropertySetter(Scope *S);
void CodeCompleteObjCPassingType(Scope *S, ObjCDeclSpec &DS,
bool IsParameter);
void CodeCompleteObjCMessageReceiver(Scope *S);
void CodeCompleteObjCSuperMessage(Scope *S, SourceLocation SuperLoc,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression);
void CodeCompleteObjCClassMessage(Scope *S, ParsedType Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
bool IsSuper = false);
void CodeCompleteObjCInstanceMessage(Scope *S, Expr *Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
ObjCInterfaceDecl *Super = nullptr);
void CodeCompleteObjCForCollection(Scope *S,
DeclGroupPtrTy IterationVar);
void CodeCompleteObjCSelector(Scope *S,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCProtocolReferences(IdentifierLocPair *Protocols,
unsigned NumProtocols);
void CodeCompleteObjCProtocolDecl(Scope *S);
void CodeCompleteObjCInterfaceDecl(Scope *S);
void CodeCompleteObjCSuperclass(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationDecl(Scope *S);
void CodeCompleteObjCInterfaceCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCPropertyDefinition(Scope *S);
void CodeCompleteObjCPropertySynthesizeIvar(Scope *S,
IdentifierInfo *PropertyName);
void CodeCompleteObjCMethodDecl(Scope *S,
bool IsInstanceMethod,
ParsedType ReturnType);
void CodeCompleteObjCMethodDeclSelector(Scope *S,
bool IsInstanceMethod,
bool AtParameterName,
ParsedType ReturnType,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompletePreprocessorDirective(bool InConditional);
void CodeCompleteInPreprocessorConditionalExclusion(Scope *S);
void CodeCompletePreprocessorMacroName(bool IsDefinition);
void CodeCompletePreprocessorExpression();
void CodeCompletePreprocessorMacroArgument(Scope *S,
IdentifierInfo *Macro,
MacroInfo *MacroInfo,
unsigned Argument);
void CodeCompleteNaturalLanguage();
void GatherGlobalCodeCompletions(CodeCompletionAllocator &Allocator,
CodeCompletionTUInfo &CCTUInfo,
SmallVectorImpl<CodeCompletionResult> &Results);
//@}
//===--------------------------------------------------------------------===//
// Extra semantic analysis beyond the C type system
public:
SourceLocation getLocationOfStringLiteralByte(const StringLiteral *SL,
unsigned ByteNo) const;
private:
void CheckArrayAccess(const Expr *BaseExpr, const Expr *IndexExpr,
const ArraySubscriptExpr *ASE=nullptr,
bool AllowOnePastEnd=true, bool IndexNegated=false);
// HLSL Change Starts - checking array subscript access to vector or matrix member
void CheckHLSLArrayAccess(const Expr *expr);
// HLSL Change ends
void CheckArrayAccess(const Expr *E);
// Used to grab the relevant information from a FormatAttr and a
// FunctionDeclaration.
struct FormatStringInfo {
unsigned FormatIdx;
unsigned FirstDataArg;
bool HasVAListArg;
};
bool getFormatStringInfo(const FormatAttr *Format, bool IsCXXMember,
FormatStringInfo *FSI);
bool CheckFunctionCall(FunctionDecl *FDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckObjCMethodCall(ObjCMethodDecl *Method, SourceLocation loc,
ArrayRef<const Expr *> Args);
bool CheckPointerCall(NamedDecl *NDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckOtherCall(CallExpr *TheCall, const FunctionProtoType *Proto);
void CheckConstructorCall(FunctionDecl *FDecl,
ArrayRef<const Expr *> Args,
const FunctionProtoType *Proto,
SourceLocation Loc);
void checkCall(NamedDecl *FDecl, const FunctionProtoType *Proto,
ArrayRef<const Expr *> Args, bool IsMemberFunction,
SourceLocation Loc, SourceRange Range,
VariadicCallType CallType);
bool CheckObjCString(Expr *Arg);
ExprResult CheckBuiltinFunctionCall(FunctionDecl *FDecl,
unsigned BuiltinID, CallExpr *TheCall);
bool CheckARMBuiltinExclusiveCall(unsigned BuiltinID, CallExpr *TheCall,
unsigned MaxWidth);
bool CheckNeonBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckARMBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckAArch64BuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMipsBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckSystemZBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckPPCBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinVAStart(CallExpr *TheCall);
bool SemaBuiltinVAStartARM(CallExpr *Call);
bool SemaBuiltinUnorderedCompare(CallExpr *TheCall);
bool SemaBuiltinFPClassification(CallExpr *TheCall, unsigned NumArgs);
public:
// Used by C++ template instantiation.
ExprResult SemaBuiltinShuffleVector(CallExpr *TheCall);
ExprResult SemaConvertVectorExpr(Expr *E, TypeSourceInfo *TInfo,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
private:
bool SemaBuiltinPrefetch(CallExpr *TheCall);
bool SemaBuiltinAssume(CallExpr *TheCall);
bool SemaBuiltinAssumeAligned(CallExpr *TheCall);
bool SemaBuiltinLongjmp(CallExpr *TheCall);
bool SemaBuiltinSetjmp(CallExpr *TheCall);
ExprResult SemaBuiltinAtomicOverloaded(ExprResult TheCallResult);
ExprResult SemaAtomicOpsOverloaded(ExprResult TheCallResult,
AtomicExpr::AtomicOp Op);
bool SemaBuiltinConstantArg(CallExpr *TheCall, int ArgNum,
llvm::APSInt &Result);
bool SemaBuiltinConstantArgRange(CallExpr *TheCall, int ArgNum,
int Low, int High);
bool SemaBuiltinARMSpecialReg(unsigned BuiltinID, CallExpr *TheCall,
int ArgNum, unsigned ExpectedFieldNum,
bool AllowName);
bool SemaBuiltinCpuSupports(CallExpr *TheCall);
public:
enum FormatStringType {
FST_Scanf,
FST_Printf,
FST_NSString,
FST_Strftime,
FST_Strfmon,
FST_Kprintf,
FST_FreeBSDKPrintf,
FST_OSTrace,
FST_Unknown
};
static FormatStringType GetFormatStringType(const FormatAttr *Format);
void CheckFormatString(const StringLiteral *FExpr, const Expr *OrigFormatExpr,
ArrayRef<const Expr *> Args, bool HasVAListArg,
unsigned format_idx, unsigned firstDataArg,
FormatStringType Type, bool inFunctionCall,
VariadicCallType CallType,
llvm::SmallBitVector &CheckedVarArgs);
bool FormatStringHasSArg(const StringLiteral *FExpr);
bool GetFormatNSStringIdx(const FormatAttr *Format, unsigned &Idx);
private:
bool CheckFormatArguments(const FormatAttr *Format,
ArrayRef<const Expr *> Args,
bool IsCXXMember,
VariadicCallType CallType,
SourceLocation Loc, SourceRange Range,
llvm::SmallBitVector &CheckedVarArgs);
bool CheckFormatArguments(ArrayRef<const Expr *> Args,
bool HasVAListArg, unsigned format_idx,
unsigned firstDataArg, FormatStringType Type,
VariadicCallType CallType,
SourceLocation Loc, SourceRange range,
llvm::SmallBitVector &CheckedVarArgs);
void CheckAbsoluteValueFunction(const CallExpr *Call,
const FunctionDecl *FDecl,
IdentifierInfo *FnInfo);
void CheckMemaccessArguments(const CallExpr *Call,
unsigned BId,
IdentifierInfo *FnName);
void CheckStrlcpycatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckStrncatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckReturnValExpr(Expr *RetValExp, QualType lhsType,
SourceLocation ReturnLoc,
bool isObjCMethod = false,
const AttrVec *Attrs = nullptr,
const FunctionDecl *FD = nullptr);
void CheckFloatComparison(SourceLocation Loc, Expr* LHS, Expr* RHS);
void CheckImplicitConversions(Expr *E, SourceLocation CC = SourceLocation());
void CheckBoolLikeConversion(Expr *E, SourceLocation CC);
void CheckForIntOverflow(Expr *E);
void CheckUnsequencedOperations(Expr *E);
/// \brief Perform semantic checks on a completed expression. This will either
/// be a full-expression or a default argument expression.
void CheckCompletedExpr(Expr *E, SourceLocation CheckLoc = SourceLocation(),
bool IsConstexpr = false);
void CheckBitFieldInitialization(SourceLocation InitLoc, FieldDecl *Field,
Expr *Init);
/// \brief Check if the given expression contains 'break' or 'continue'
/// statement that produces control flow different from GCC.
void CheckBreakContinueBinding(Expr *E);
/// \brief Check whether receiver is mutable ObjC container which
/// attempts to add itself into the container
void CheckObjCCircularContainer(ObjCMessageExpr *Message);
void AnalyzeDeleteExprMismatch(const CXXDeleteExpr *DE);
void AnalyzeDeleteExprMismatch(FieldDecl *Field, SourceLocation DeleteLoc,
bool DeleteWasArrayForm);
public:
/// \brief Register a magic integral constant to be used as a type tag.
void RegisterTypeTagForDatatype(const IdentifierInfo *ArgumentKind,
uint64_t MagicValue, QualType Type,
bool LayoutCompatible, bool MustBeNull);
struct TypeTagData {
TypeTagData() {}
TypeTagData(QualType Type, bool LayoutCompatible, bool MustBeNull) :
Type(Type), LayoutCompatible(LayoutCompatible),
MustBeNull(MustBeNull)
{}
QualType Type;
/// If true, \c Type should be compared with other expression's types for
/// layout-compatibility.
unsigned LayoutCompatible : 1;
unsigned MustBeNull : 1;
};
/// A pair of ArgumentKind identifier and magic value. This uniquely
/// identifies the magic value.
typedef std::pair<const IdentifierInfo *, uint64_t> TypeTagMagicValue;
private:
/// \brief A map from magic value to type information.
std::unique_ptr<llvm::DenseMap<TypeTagMagicValue, TypeTagData>>
TypeTagForDatatypeMagicValues;
/// \brief Peform checks on a call of a function with argument_with_type_tag
/// or pointer_with_type_tag attributes.
void CheckArgumentWithTypeTag(const ArgumentWithTypeTagAttr *Attr,
const Expr * const *ExprArgs);
/// \brief The parser's current scope.
///
/// The parser maintains this state here.
Scope *CurScope;
mutable IdentifierInfo *Ident_super;
mutable IdentifierInfo *Ident___float128;
// HLSL Change Starts
bool DiagnoseHLSLDecl(Declarator& D, DeclContext* DC, TypeSourceInfo* TInfo, bool isParameter);
bool DiagnoseHLSLLookup(const LookupResult &R);
void TransferUnusualAttributes(Declarator& D, NamedDecl* NewDecl);
// HLSL Change Ends
/// Nullability type specifiers.
IdentifierInfo *Ident__Nonnull = nullptr;
IdentifierInfo *Ident__Nullable = nullptr;
IdentifierInfo *Ident__Null_unspecified = nullptr;
IdentifierInfo *Ident_NSError = nullptr;
protected:
friend class Parser;
friend class InitializationSequence;
friend class ASTReader;
friend class ASTDeclReader;
friend class ASTWriter;
public:
/// Retrieve the keyword associated
IdentifierInfo *getNullabilityKeyword(NullabilityKind nullability);
/// The struct behind the CFErrorRef pointer.
RecordDecl *CFError = nullptr;
/// Retrieve the identifier "NSError".
IdentifierInfo *getNSErrorIdent();
/// \brief Retrieve the parser's current scope.
///
/// This routine must only be used when it is certain that semantic analysis
/// and the parser are in precisely the same context, which is not the case
/// when, e.g., we are performing any kind of template instantiation.
/// Therefore, the only safe places to use this scope are in the parser
/// itself and in routines directly invoked from the parser and *never* from
/// template substitution or instantiation.
Scope *getCurScope() const { return CurScope; }
void incrementMSManglingNumber() const {
return CurScope->incrementMSManglingNumber();
}
IdentifierInfo *getSuperIdentifier() const;
IdentifierInfo *getFloat128Identifier() const;
Decl *getObjCDeclContext() const;
DeclContext *getCurLexicalContext() const {
return OriginalLexicalContext ? OriginalLexicalContext : CurContext;
}
AvailabilityResult getCurContextAvailability() const;
const DeclContext *getCurObjCLexicalContext() const {
const DeclContext *DC = getCurLexicalContext();
// A category implicitly has the attribute of the interface.
if (const ObjCCategoryDecl *CatD = dyn_cast<ObjCCategoryDecl>(DC))
DC = CatD->getClassInterface();
return DC;
}
/// \brief To be used for checking whether the arguments being passed to
/// function exceeds the number of parameters expected for it.
static bool TooManyArguments(size_t NumParams, size_t NumArgs,
bool PartialOverloading = false) {
// We check whether we're just after a comma in code-completion.
if (NumArgs > 0 && PartialOverloading)
return NumArgs + 1 > NumParams; // If so, we view as an extra argument.
return NumArgs > NumParams;
}
};
/// \brief RAII object that enters a new expression evaluation context.
class EnterExpressionEvaluationContext {
Sema &Actions;
public:
EnterExpressionEvaluationContext(Sema &Actions,
Sema::ExpressionEvaluationContext NewContext,
Decl *LambdaContextDecl = nullptr,
bool IsDecltype = false)
: Actions(Actions) {
Actions.PushExpressionEvaluationContext(NewContext, LambdaContextDecl,
IsDecltype);
}
EnterExpressionEvaluationContext(Sema &Actions,
Sema::ExpressionEvaluationContext NewContext,
Sema::ReuseLambdaContextDecl_t,
bool IsDecltype = false)
: Actions(Actions) {
Actions.PushExpressionEvaluationContext(NewContext,
Sema::ReuseLambdaContextDecl,
IsDecltype);
}
~EnterExpressionEvaluationContext() {
Actions.PopExpressionEvaluationContext();
}
};
DeductionFailureInfo
MakeDeductionFailureInfo(ASTContext &Context, Sema::TemplateDeductionResult TDK,
sema::TemplateDeductionInfo &Info);
/// \brief Contains a late templated function.
/// Will be parsed at the end of the translation unit, used by Sema & Parser.
struct LateParsedTemplate {
CachedTokens Toks;
/// \brief The template function declaration to be late parsed.
Decl *D;
};
} // end namespace clang
#endif
|
GB_unop__tanh_fc32_fc32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__tanh_fc32_fc32
// op(A') function: GB_unop_tran__tanh_fc32_fc32
// C type: GxB_FC32_t
// A type: GxB_FC32_t
// cast: GxB_FC32_t cij = aij
// unaryop: cij = ctanhf (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 = ctanhf (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] = ctanhf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_TANH || GxB_NO_FC32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__tanh_fc32_fc32
(
GxB_FC32_t *Cx, // Cx and Ax may be aliased
const GxB_FC32_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC32_t aij = Ax [p] ;
GxB_FC32_t z = aij ;
Cx [p] = ctanhf (z) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__tanh_fc32_fc32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
Tanh.c | #include "../thnets.h"
#include <math.h>
#ifdef ONNX
void onnxload_Tanh(const void *graph, struct module *m, int nodeidx)
{
m->updateOutput = nn_Tanh_updateOutput;
m->type = MT_Tanh;
}
#endif
THFloatTensor *nn_Tanh_updateOutput(struct module *module, THFloatTensor *input)
{
THFloatTensor *output = module->output;
float *input_data, *output_data;
long i, n = THFloatTensor_nElement(input);
THFloatTensor_resizeAs(output, input);
input_data = THFloatTensor_data(input);
output_data = THFloatTensor_data(output);
#pragma omp parallel for
for(i = 0; i < n; i++)
output_data[i] = tanhf(input_data[i]);
return output;
}
|
GB_unaryop__minv_uint64_uint16.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__minv_uint64_uint16
// op(A') function: GB_tran__minv_uint64_uint16
// C type: uint64_t
// A type: uint16_t
// cast: uint64_t cij = (uint64_t) aij
// unaryop: cij = GB_IMINV_UNSIGNED (aij, 64)
#define GB_ATYPE \
uint16_t
#define GB_CTYPE \
uint64_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_IMINV_UNSIGNED (x, 64) ;
// casting
#define GB_CASTING(z, x) \
uint64_t z = (uint64_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MINV || GxB_NO_UINT64 || GxB_NO_UINT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_uint64_uint16
(
uint64_t *restrict Cx,
const uint16_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__minv_uint64_uint16
(
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
|
adapter.h | /**
* Implementation of a lock-free relaxed (a,b)-tree using LLX/SCX.
* Trevor Brown, 2018.
*/
#ifndef DS_ADAPTER_H
#define DS_ADAPTER_H
#include <iostream>
#include "errors.h"
#include "brown_ext_abtree_lf_impl.h"
#ifdef USE_TREE_STATS
# define TREE_STATS_BYTES_AT_DEPTH
# include "tree_stats.h"
#endif
#if !defined FAT_NODE_DEGREE
#define FAT_NODE_DEGREE 11
#endif
#define NODE_T abtree_ns::Node<FAT_NODE_DEGREE, K>
#define RECORD_MANAGER_T record_manager<Reclaim, Alloc, Pool, NODE_T>
#define DATA_STRUCTURE_T abtree_ns::abtree<FAT_NODE_DEGREE, K, std::less<K>, RECORD_MANAGER_T>
template <typename K, typename V, class Reclaim = reclaimer_debra<K>, class Alloc = allocator_new<K>, class Pool = pool_none<K>>
class ds_adapter {
private:
DATA_STRUCTURE_T * const ds;
public:
ds_adapter(const int NUM_THREADS,
const K& KEY_ANY,
const K& unused1,
const V& unused2,
Random64 * const unused3)
: ds(new DATA_STRUCTURE_T(NUM_THREADS, KEY_ANY))
{
if (sizeof(V) > sizeof(void *)) {
setbench_error("Value type V is too large to fit in void *. This data structure stores all values in fields of type void *, so this is a problem.");
}
if (NUM_THREADS > MAX_THREADS_POW2) {
setbench_error("NUM_THREADS exceeds MAX_THREADS_POW2");
}
}
~ds_adapter() {
delete ds;
}
void * getNoValue() {
return ds->NO_VALUE;
}
void initThread(const int tid) {
ds->initThread(tid);
}
void deinitThread(const int tid) {
ds->deinitThread(tid);
}
bool contains(const int tid, const K& key) {
return ds->contains(tid, key);
}
V insert(const int tid, const K& key, const V& val) {
return (V) ds->insert(tid, key, val);
}
V insertIfAbsent(const int tid, const K& key, const V& val) {
return (V) ds->insertIfAbsent(tid, key, (void*) val);
}
V erase(const int tid, const K& key) {
return (V) ds->erase(tid, key).first;
}
V find(const int tid, const K& key) {
return (V) ds->find(tid, key).first;
}
int rangeQuery(const int tid, const K& lo, const K& hi, K * const resultKeys, V * const resultValues) {
return ds->rangeQuery(tid, lo, hi, resultKeys, (void ** const) resultValues);
}
void printSummary() {
ds->debugGetRecMgr()->printStatus();
}
bool validateStructure() {
return true;
}
void printObjectSizes() {
std::cout<<"size_node="<<(sizeof(abtree_ns::Node<FAT_NODE_DEGREE, K>))<<std::endl;
}
// try to clean up: must only be called by a single thread as part of the test harness!
void debugGCSingleThreaded() {
ds->debugGetRecMgr()->debugGCSingleThreaded();
}
size_t size() {
return ds->sequentialSize();
}
#ifdef USE_TREE_STATS
class NodeHandler {
public:
typedef NODE_T * NodePtrType;
K minKey;
K maxKey;
NodeHandler(const K& _minKey, const K& _maxKey) {
minKey = _minKey;
maxKey = _maxKey;
}
class ChildIterator {
private:
size_t ix;
NodePtrType node; // node being iterated over
public:
ChildIterator(NodePtrType _node) { node = _node; ix = 0; }
bool hasNext() { return ix < node->size; }
NodePtrType next() { return node->ptrs[ix++]; }
};
static bool isLeaf(NodePtrType node) { return node->leaf; }
static ChildIterator getChildIterator(NodePtrType node) { return ChildIterator(node); }
static size_t getNumChildren(NodePtrType node) { return node->size; }
static size_t getNumKeys(NodePtrType node) { return isLeaf(node) ? node->size : 0; }
static size_t getSumOfKeys(NodePtrType node) {
size_t sz = getNumKeys(node);
size_t result = 0;
for (size_t i=0;i<sz;++i) {
result += (size_t) node->keys[i];
}
return result;
}
static size_t getSizeInBytes(NodePtrType node) { return sizeof(*node); }
};
TreeStats<NodeHandler> * createTreeStats(const K& _minKey, const K& _maxKey) {
return new TreeStats<NodeHandler>(new NodeHandler(_minKey, _maxKey), ds->debug_getEntryPoint(), true);
}
#endif
private:
template<typename... Arguments>
void iterate_helper_fn(int depth, void (*callback)(K key, V value, Arguments... args)
, NODE_T * node, Arguments... args) {
if (node == NULL) return;
if (node->leaf) {
for (int i=0;i<node->getABDegree();++i) {
K key = node->keys[i];
V val = (V) node->ptrs[i];
callback(key, val, args...);
}
return;
}
for (int i=0;i<node->getABDegree();++i) {
if (depth == 4) {
#pragma omp task
iterate_helper_fn(1+depth, callback, (NODE_T *) node->ptrs[i], args...);
} else {
iterate_helper_fn(1+depth, callback, (NODE_T *) node->ptrs[i], args...);
}
}
}
public:
#define DS_ADAPTER_SUPPORTS_TERMINAL_ITERATE
template<typename... Arguments>
void iterate(void (*callback)(K key, V value, Arguments... args), Arguments... args) {
#pragma omp parallel
{
#pragma omp single
iterate_helper_fn(0, callback, ds->debug_getEntryPoint(), args...);
}
}
};
#endif
|
3d25pt_var.c | /*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 16;
tile_size[1] = 16;
tile_size[2] = 16;
tile_size[3] = 32;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt; t++) {
for (i = 4; i < Nz-4; i++) {
for (j = 4; j < Ny-4; j++) {
for (k = 4; k < Nx-4; k++) {
A[(t+1)%2][i][j][k] =
coef[0][i][j][k] * A[(t)%2][i ][j ][k ] +
coef[1][i][j][k] * (A[(t)%2][i-1][j ][k ] + A[(t)%2][i+1][j ][k ]) +
coef[2][i][j][k] * (A[(t)%2][i ][j-1][k ] + A[(t)%2][i ][j+1][k ]) +
coef[3][i][j][k] * (A[(t)%2][i ][j ][k-1] + A[(t)%2][i ][j ][k+1]) +
coef[4][i][j][k] * (A[(t)%2][i-2][j ][k ] + A[(t)%2][i+2][j ][k ]) +
coef[5][i][j][k] * (A[(t)%2][i ][j-2][k ] + A[(t)%2][i ][j+2][k ]) +
coef[6][i][j][k] * (A[(t)%2][i ][j ][k-2] + A[(t)%2][i ][j ][k+2]) +
coef[7][i][j][k] * (A[(t)%2][i-3][j ][k ] + A[(t)%2][i+3][j ][k ]) +
coef[8][i][j][k] * (A[(t)%2][i ][j-3][k ] + A[(t)%2][i ][j+3][k ]) +
coef[9][i][j][k] * (A[(t)%2][i ][j ][k-3] + A[(t)%2][i ][j ][k+3]) +
coef[10][i][j][k]* (A[(t)%2][i-4][j ][k ] + A[(t)%2][i+4][j ][k ]) +
coef[11][i][j][k]* (A[(t)%2][i ][j-4][k ] + A[(t)%2][i ][j+4][k ]) +
coef[12][i][j][k]* (A[(t)%2][i ][j ][k-4] + A[(t)%2][i ][j ][k+4]) ;
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
Matrix.h | #pragma once
#include <algorithm>
#include <exception>
#include <functional>
#include <iostream>
#include <omp.h>
#include <stdexcept>
#include <type_traits>
#include <vector>
namespace cppmath
{
template <typename T>
class Matrix
{
static_assert(std::is_floating_point_v<T>, "An specilization of the matrix class has be of a floating point type!");
public:
using MatrixDataType = std::vector<std::vector<T>>;
Matrix() = delete;
Matrix(std::size_t rows, std::size_t cols);
Matrix(std::size_t rows, std::size_t cols, const T &value);
~Matrix() noexcept = default;
Matrix(const Matrix &other) = default;
Matrix &operator=(const Matrix &other) = default;
Matrix(Matrix &&other) noexcept = default;
Matrix &operator=(Matrix &&other) noexcept = default;
Matrix operator+(const Matrix &rhs);
Matrix &operator+=(const Matrix &rhs);
Matrix operator-(const Matrix &rhs);
Matrix &operator-=(const Matrix &rhs);
Matrix operator*(const T &scalar);
Matrix &operator*=(const T &scalar);
Matrix operator/(const T &scalar);
Matrix &operator/=(const T &scalar);
Matrix operator*(const Matrix &rhs);
Matrix &operator*=(const Matrix &rhs);
void dot(const Matrix &matrixA, const Matrix &matrixB, Matrix &result);
void parallel_dot(const Matrix &matrixA, const Matrix &matrixB, Matrix &result);
void print_matrix() const;
std::size_t num_rows() const;
std::size_t num_cols() const;
private:
std::size_t m_rows;
std::size_t m_cols;
MatrixDataType m_data;
};
template <typename T>
Matrix<T>::Matrix(std::size_t rows, std::size_t cols)
: m_rows(rows), m_cols(cols), m_data(m_rows, std::vector<T>(m_cols, 0))
{
}
template <typename T>
Matrix<T>::Matrix(std::size_t rows, std::size_t cols, const T &value)
: m_rows(rows), m_cols(cols), m_data(m_rows, std::vector<T>(m_cols, value))
{
}
template <typename T>
Matrix<T> Matrix<T>::operator+(const Matrix<T> &rhs)
{
if (m_rows != rhs.m_rows)
{
throw(std::invalid_argument("Number of rows are not equal!"));
}
if (m_cols != rhs.m_cols)
{
throw(std::invalid_argument("Number of cols are not equal!"));
}
Matrix<T> result(m_rows, m_cols);
for (std::size_t i = 0; i != m_rows; ++i)
{
std::transform(m_data[i].begin(),
m_data[i].end(),
rhs.m_data[i].begin(),
result.m_data[i].begin(),
std::plus<T>());
}
return result;
}
template <typename T>
Matrix<T> &Matrix<T>::operator+=(const Matrix<T> &rhs)
{
if (m_rows != rhs.m_rows)
{
throw(std::invalid_argument("Number of rows are not equal!"));
}
if (m_cols != rhs.m_cols)
{
throw(std::invalid_argument("Number of cols are not equal!"));
}
for (std::size_t i = 0; i != m_rows; ++i)
{
std::transform(m_data[i].begin(), m_data[i].end(), rhs.m_data[i].begin(), m_data[i].begin(), std::plus<T>());
}
return *this;
}
template <typename T>
Matrix<T> Matrix<T>::operator-(const Matrix<T> &rhs)
{
if (m_rows != rhs.m_rows)
{
throw(std::invalid_argument("Number of rows are not equal!"));
}
if (m_cols != rhs.m_cols)
{
throw(std::invalid_argument("Number of cols are not equal!"));
}
Matrix<T> result(m_rows, m_cols);
for (std::size_t i = 0; i != m_rows; ++i)
{
std::transform(m_data[i].begin(),
m_data[i].end(),
rhs.m_data[i].begin(),
result.m_data[i].begin(),
std::minus<T>());
}
return result;
}
template <typename T>
Matrix<T> &Matrix<T>::operator-=(const Matrix<T> &rhs)
{
if (m_rows != rhs.m_rows)
{
throw(std::invalid_argument("Number of rows are not equal!"));
}
if (m_cols != rhs.m_cols)
{
throw(std::invalid_argument("Number of cols are not equal!"));
}
for (std::size_t i = 0; i != m_rows; ++i)
{
std::transform(m_data[i].begin(), m_data[i].end(), rhs.m_data[i].begin(), m_data[i].begin(), std::minus<T>());
}
return *this;
}
template <typename T>
Matrix<T> Matrix<T>::operator*(const T &scalar)
{
Matrix<T> result(m_rows, m_cols);
for (std::size_t i = 0; i != m_rows; ++i)
{
std::transform(m_data[i].begin(), m_data[i].end(), result.m_data[i].begin(), [scalar](const T val) -> T {
return val * scalar;
});
}
return result;
}
template <typename T>
Matrix<T> &Matrix<T>::operator*=(const T &scalar)
{
for (std::size_t i = 0; i != m_rows; ++i)
{
std::transform(m_data[i].begin(), m_data[i].end(), m_data[i].begin(), [scalar](const T val) -> T {
return val * scalar;
});
}
return *this;
}
template <typename T>
Matrix<T> Matrix<T>::operator/(const T &scalar)
{
if (scalar == 0)
{
throw(std::overflow_error("You cannot divide by a scalar value of zero!"));
}
Matrix<T> result(m_rows, m_cols);
for (std::size_t i = 0; i != m_rows; ++i)
{
std::transform(m_data[i].begin(), m_data[i].end(), result.m_data[i].begin(), [scalar](const T val) -> T {
return val / scalar;
});
}
return result;
}
template <typename T>
Matrix<T> &Matrix<T>::operator/=(const T &scalar)
{
for (std::size_t i = 0; i != m_rows; ++i)
{
std::transform(m_data[i].begin(), m_data[i].end(), m_data[i].begin(), [scalar](const T val) -> T {
return val / scalar;
});
}
return *this;
}
template <typename T>
Matrix<T> Matrix<T>::operator*(const Matrix<T> &rhs)
{
if (m_cols != rhs.m_rows)
{
throw(std::invalid_argument("Number of cols are not equal!"));
}
Matrix<T> result(m_rows, rhs.m_cols);
if (m_rows < 250 && m_cols < 250)
{
dot(*this, rhs, result);
}
else
{
parallel_dot(*this, rhs, result);
}
return result;
}
template <typename T>
Matrix<T> &Matrix<T>::operator*=(const Matrix<T> &rhs)
{
if (m_cols != rhs.m_rows)
{
throw(std::invalid_argument("Number of cols are not equal!"));
}
*this = (*this) * rhs;
return *this;
}
template <typename T>
void Matrix<T>::dot(const Matrix<T> &matrixA, const Matrix<T> &matrixB, Matrix<T> &result)
{
for (std::size_t i = 0; i != matrixA.m_rows; ++i)
{
for (std::size_t j = 0; j != matrixB.m_cols; ++j)
{
for (std::size_t k = 0; k != matrixB.m_rows; ++k)
{
result.m_data[i][j] = result.m_data[i][j] + matrixA.m_data[i][k] * matrixB.m_data[k][j];
}
}
}
}
template <typename T>
void Matrix<T>::parallel_dot(const Matrix<T> &matrixA, const Matrix<T> &matrixB, Matrix<T> &result)
{
std::size_t i = 0;
std::size_t j = 0;
std::size_t k = 0;
#pragma omp parallel for shared(result) private(i, j, k) num_threads(12)
for (i = 0; i != matrixA.m_rows; ++i)
{
for (j = 0; j != matrixB.m_cols; ++j)
{
for (k = 0; k != matrixB.m_rows; ++k)
{
result.m_data[i][j] = result.m_data[i][j] + matrixA.m_data[i][k] * matrixB.m_data[k][j];
}
}
}
}
template <typename T>
void Matrix<T>::print_matrix() const
{
for (std::size_t i = 0; i < m_rows; ++i)
{
for (std::size_t j = 0; j < m_cols; ++j)
{
std::cout << m_data[i][j] << " ";
}
std::cout << std::endl;
}
std::cout << std::endl;
}
template <typename T>
std::size_t Matrix<T>::num_rows() const
{
return m_rows;
}
template <typename T>
std::size_t Matrix<T>::num_cols() const
{
return m_cols;
}
} // namespace cppmath
|
mxnet_op.h | /*!
* Copyright (c) 2017 by Contributors
* \file mxnet_op.h
* \brief
* \author Junyuan Xie
*/
#ifndef MXNET_OPERATOR_MXNET_OP_H_
#define MXNET_OPERATOR_MXNET_OP_H_
#include <mxnet/base.h>
#include <algorithm>
namespace mxnet {
namespace op {
namespace mxnet_op {
#ifdef __CUDA_ARCH__
__constant__ const float PI = 3.14159265358979323846;
#else
const float PI = 3.14159265358979323846;
using std::isnan;
#endif
template<typename OP, typename xpu>
struct Kernel;
template<typename OP>
struct Kernel<OP, cpu> {
template<typename ...Args>
inline static void Launch(mshadow::Stream<cpu> *s, int N, Args... args) {
#if (MXNET_USE_CUDA == 0)
#pragma omp parallel for
#endif
for (int i = 0; i < N; ++i) {
OP::Map(i, args...);
}
}
};
#ifdef __CUDACC__
template<typename OP, typename ...Args>
__global__ void mxnet_generic_kernel(int N, Args... args) {
for (int i = blockIdx.x * blockDim.x + threadIdx.x; i < N; i += blockDim.x * gridDim.x) {
OP::Map(i, args...);
}
}
template<typename OP>
struct Kernel<OP, gpu> {
template<typename ...Args>
inline static void Launch(mshadow::Stream<gpu> *s, int N, Args... args) {
using namespace mshadow::cuda;
int ngrid = std::min(kMaxGridNum, (N + kBaseThreadNum - 1) / kBaseThreadNum);
mxnet_generic_kernel<OP, Args...>
<<<ngrid, kBaseThreadNum, 0, mshadow::Stream<gpu>::GetStream(s)>>>(
N, args...);
}
};
#endif // __CUDACC__
/*! \brief take scalar value from 2d data array */
struct batch_take {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out, const DType* a,
const int *idx, int M) {
out[i] = a[i*M+idx[i]];
}
};
struct clip {
template<typename DType>
MSHADOW_XINLINE static void Map(int i, DType* out, const DType* datas,
DType a_min, DType 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(int i, DType* out, const DType* grad, const DType* datas,
DType a_min, DType 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];
}
}
};
} // namespace mxnet_op
} // namespace op
} // namespace mxnet
#endif // MXNET_OPERATOR_MXNET_OP_H_
|
default.host.c |
// Run multiple OpenMP threads
int bones_thread_count = omp_get_num_procs();
omp_set_num_threads(bones_thread_count);
#pragma omp parallel
{
int bones_thread_id = omp_get_thread_num();
// Start the kernel
bones_kernel_<algorithm_name>_0(bones_thread_id, bones_thread_count, <devicenames>, <argument_name>);
}
|
BucketStorage.h | #pragma once
#include <assert.h>
template <typename IndexType>
class BucketStorage
{
public:
typedef const IndexType* ElementIterator;
BucketStorage():
bucketsCount(0), isCached(false)
{
}
ElementIterator Begin(IndexType bucketIndex) const
{
return rangeBegins[bucketIndex] < elementIndices.size() ? &elementIndices[rangeBegins[bucketIndex]] : 0;
}
ElementIterator End(IndexType bucketIndex) const
{
return Begin(bucketIndex) + rangeEnds[bucketIndex] - rangeBegins[bucketIndex];
}
void Initialize(IndexType bucketsCount, IndexType storageSize)
{
this->bucketsCount = bucketsCount;
assert(bucketsCount > 0);
elementLocations.resize(storageSize);
elementIndices.resize(storageSize);
bucketIndices.resize(storageSize);
rangeBegins.resize(bucketsCount);
rangeEnds.resize(bucketsCount);
std::fill(rangeBegins.begin(), rangeBegins.end(), 0);
std::fill(rangeEnds.begin(), rangeEnds.end(), 0);
#pragma omp parallel for
for (int elementIndex = 0; elementIndex < int(storageSize); ++elementIndex)
{
elementIndices[elementIndex] = elementIndex;
elementLocations[elementIndices[elementIndex]] = elementIndex;
}
rangeBegins.back() = 0;
rangeEnds.back() = storageSize;
isCached = false;
}
void Cache()
{
isCached = true;
#pragma omp parallel for
for (int bucketIndex = 0; bucketIndex < int(bucketsCount); ++bucketIndex)
{
for (IndexType elementLocation = rangeBegins[bucketIndex]; elementLocation < rangeEnds[bucketIndex]; ++elementLocation)
{
bucketIndices[elementIndices[elementLocation]] = bucketIndex;
}
}
}
IndexType operator[](IndexType elementIndex) const
{
return GetBucket(elementIndex);
}
void UpdateBucket(IndexType elementIndex, IndexType newBucket)
{
IndexType currentBucket = GetBucket(elementIndex);
while (currentBucket < newBucket)
{
MoveToNextBucket(elementIndex);
++currentBucket;
}
while (currentBucket > newBucket)
{
MoveToPreviousBucket(elementIndex);
--currentBucket;
}
}
std::vector<IndexType> elementIndices;
private:
IndexType bucketsCount;
std::vector<IndexType> elementLocations;
std::vector<IndexType> bucketIndices;
std::vector<IndexType> rangeBegins;
std::vector<IndexType> rangeEnds;
bool isCached;
IndexType GetBucket(IndexType elementIndex) const
{
if (isCached)
{
return bucketIndices[elementIndex];
}
IndexType bucketIndex = 0;
while (bucketIndex < bucketsCount)
{
if (rangeBegins[bucketIndex] <= elementLocations[elementIndex] && elementLocations[elementIndex] < rangeEnds[bucketIndex])
{
break;
}
++bucketIndex;
}
assert(bucketIndex < bucketsCount);
return bucketIndex;
}
void MoveToNextBucket(IndexType elementIndex)
{
IndexType currentBucket = GetBucket(elementIndex);
assert(currentBucket + 1 < bucketsCount);
IndexType currentLocation = elementLocations[elementIndex];
Swap(currentLocation, rangeEnds[currentBucket] - 1);
--rangeBegins[currentBucket + 1];
--rangeEnds[currentBucket];
}
void MoveToPreviousBucket(IndexType elementIndex)
{
IndexType currentBucket = GetBucket(elementIndex);
assert(currentBucket > 0);
IndexType currentLocation = elementLocations[elementIndex];
Swap(currentLocation, rangeBegins[currentBucket]);
++rangeBegins[currentBucket];
++rangeEnds[currentBucket - 1];
}
void Swap(IndexType firstLocation, IndexType secondLocation)
{
std::swap(elementIndices[firstLocation], elementIndices[secondLocation]);
elementLocations[elementIndices[firstLocation]] = firstLocation;
elementLocations[elementIndices[secondLocation]] = secondLocation;
}
};
|
gemm.c | /**
* gemm.c: This file was adapted from PolyBench/GPU 1.0 test suite
* to run on GPU with OpenMP 4.0 pragmas and OpenCL driver.
*
* http://www.cse.ohio-state.edu/~pouchet/software/polybench/GPU
*
* Contacts: Marcio M Pereira <mpereira@ic.unicamp.br>
* Rafael Cardoso F Sousa <rafael.cardoso@students.ic.unicamp.br>
* Luís Felipe Mattos <ra107822@students.ic.unicamp.br>
*/
#include <stdarg.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/time.h>
#include <time.h>
#include <unistd.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "BenchmarksUtil.h"
// define the error threshold for the results "not matching"
#define PERCENT_DIFF_ERROR_THRESHOLD 0.05
/* Problem size. */
#ifdef RUN_TEST
#define SIZE 1100
#elif RUN_BENCHMARK
#define SIZE 9600
#else
#define SIZE 1000
#endif
#define NI SIZE
#define NJ SIZE
#define NK SIZE
/* Declared constant values for ALPHA and BETA (same as values in PolyBench 2.0)
*/
#define ALPHA 32412.0f
#define BETA 2123.0f
/* Can switch DATA_TYPE between float and double */
typedef float DATA_TYPE;
void gemm(DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *C) {
int i, j, k;
for (i = 0; i < NI; i++) {
for (j = 0; j < NJ; j++) {
C[i * NJ + j] *= BETA;
for (k = 0; k < NK; ++k) {
C[i * NJ + j] += ALPHA * A[i * NK + k] * B[k * NJ + j];
}
}
}
}
void gemm_OMP(DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *C, DATA_TYPE *Cinit) {
#pragma omp target map(to : A[ : NI *NK], B[ : NK *NJ], Cinit[ : NI *NJ]) map(from : C[ : NI *NJ]) device(DEVICE_ID)
#pragma omp teams distribute parallel for
for (int i = 0; i < NI; i++) {
for (int j = 0; j < NJ; j++) {
C[i * NJ + j] = Cinit[i * NJ + j] * BETA;
for (int k = 0; k < NK; ++k) {
C[i * NJ + j] += ALPHA * A[i * NK + k] * B[k * NJ + j];
}
}
}
}
void init(DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *C, DATA_TYPE *C_OMP) {
int i, j;
for (i = 0; i < NI; i++) {
for (j = 0; j < NK; j++) {
A[i * NK + j] = ((DATA_TYPE)i * j) / NI;
}
}
for (i = 0; i < NK; i++) {
for (j = 0; j < NJ; j++) {
B[i * NJ + j] = ((DATA_TYPE)i * j + 1) / NJ;
}
}
for (i = 0; i < NI; i++) {
for (j = 0; j < NJ; j++) {
C[i * NJ + j] = ((DATA_TYPE)i * j + 2) / NJ;
C_OMP[i * NJ + j] = ((DATA_TYPE)i * j + 2) / NJ;
}
}
}
int compareResults(DATA_TYPE *C, DATA_TYPE *C_outputFromGpu) {
int i, j, fail;
fail = 0;
// Compare C1 and C2
for (i = 0; i < NI; i++) {
for (j = 0; j < NJ; j++) {
if (percentDiff(C[i * NJ + j], C_outputFromGpu[i * NJ + j]) >
PERCENT_DIFF_ERROR_THRESHOLD) {
fail++;
fprintf(stdout, "%f != %f \n", C[i * NJ + j],
C_outputFromGpu[i * NJ + j]);
}
}
}
// Print results
printf("Non-Matching CPU-GPU Outputs Beyond Error Threshold of %4.2f "
"Percent: %d\n",
PERCENT_DIFF_ERROR_THRESHOLD, fail);
return fail;
}
int main(int argc, char *argv[]) {
double t_start, t_end;
int fail = 0;
DATA_TYPE *A;
DATA_TYPE *B;
DATA_TYPE *C;
DATA_TYPE *C_outputFromGpu;
DATA_TYPE *Cinit_outputFromGpu;
A = (DATA_TYPE *)malloc(NI * NK * sizeof(DATA_TYPE));
B = (DATA_TYPE *)malloc(NK * NJ * sizeof(DATA_TYPE));
C = (DATA_TYPE *)malloc(NI * NJ * sizeof(DATA_TYPE));
C_outputFromGpu = (DATA_TYPE *)calloc(NI * NJ, sizeof(DATA_TYPE));
Cinit_outputFromGpu = (DATA_TYPE *)malloc(NI * NJ * sizeof(DATA_TYPE));
fprintf(stdout, "<< Matrix-multiply C=alpha.A.B+beta.C >>\n");
init(A, B, C, Cinit_outputFromGpu);
t_start = rtclock();
gemm_OMP(A, B, C_outputFromGpu, Cinit_outputFromGpu);
t_end = rtclock();
fprintf(stdout, "GPU Runtime: %0.6lfs\n", t_end - t_start);
#ifdef RUN_TEST
t_start = rtclock();
gemm(A, B, C);
t_end = rtclock();
fprintf(stdout, "CPU Runtime: %0.6lfs\n", t_end - t_start);
fail = compareResults(C, C_outputFromGpu);
#endif
free(A);
free(B);
free(C);
free(C_outputFromGpu);
return fail;
}
|
GB_unop__identity_int64_uint8.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_int64_uint8)
// op(A') function: GB (_unop_tran__identity_int64_uint8)
// C type: int64_t
// A type: uint8_t
// cast: int64_t cij = (int64_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint8_t
#define GB_CTYPE \
int64_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_CAST(z, aij) \
int64_t z = (int64_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
uint8_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int64_t z = (int64_t) aij ; \
Cx [pC] = z ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_INT64 || GxB_NO_UINT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_int64_uint8)
(
int64_t *Cx, // Cx and Ax may be aliased
const uint8_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++)
{
uint8_t aij = Ax [p] ;
int64_t z = (int64_t) aij ;
Cx [p] = z ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
uint8_t aij = Ax [p] ;
int64_t z = (int64_t) aij ;
Cx [p] = z ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__identity_int64_uint8)
(
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
|
IOLayersRules.h | // Copyright 2016-present, Facebook, Inc.
// All rights reserved.
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#ifndef INPUTLAYER_H
#define INPUTLAYER_H
// Rulebook Format
// rules[0][0] == mode
// rules[0][1] == maxActive per spatial location (==1 for modes 0,1,2)
// rules[0][2] == nInputRows
// rules[0][3] == nOutputRows
// rules[1] nOutputRows x (1+maxActive)
// mode 0==guaranteed unique 1==overwrite, 2=keep, 3=sum, 4=mean
template <Int dimension>
void inputLayerRules(SparseGrids<dimension> &SGs, RuleBook &rules, long *coords,
Int nInputRows, Int nInputColumns, Int batchSize, Int mode,
Int &nActive) {
assert(nActive == 0);
assert(rules.size() == 0);
assert(SGs.size() == 0);
SGs.resize(batchSize); // Set a minimum batch size if necessary
Point<dimension> p;
if (mode == 0) {
nActive = nInputRows;
rules.resize(1);
rules[0].push_back(mode);
rules[0].push_back(1);
rules[0].push_back(nInputRows);
rules[0].push_back(nInputRows);
if (nInputColumns == dimension) {
SGs.resize(1);
auto &sg = SGs[0];
for (Int i = 0; i < nInputRows; ++i) {
for (Int j = 0; j < dimension; j++)
p[j] = coords[j];
coords += dimension;
sg.mp[p] = i;
}
} else { // nInputColumns == dimension + 1
Int idx;
for (Int i = 0; i < nInputRows; ++i) {
for (Int j = 0; j < dimension; j++)
p[j] = coords[j];
idx = coords[dimension];
coords += dimension + 1;
if (idx + 1 >= (Int)SGs.size())
SGs.resize(idx + 1);
SGs[idx].mp[p] = i;
}
}
return;
}
// Compile list of how input rows correspond to output rows
std::vector<std::vector<Int>> outputRows;
if (nInputColumns == dimension) {
SGs.resize(1);
auto &sg = SGs[0];
for (Int i = 0; i < nInputRows; ++i) {
for (Int j = 0; j < dimension; j++)
p[j] = coords[j];
coords += dimension;
auto iter = sg.mp.find(p);
if (iter == sg.mp.end()) {
sg.mp[p] = nActive++;
outputRows.resize(nActive);
}
outputRows[sg.mp[p]].push_back(i);
}
} else { // nInputColumns == dimension + 1
Int idx;
for (Int i = 0; i < nInputRows; ++i) {
for (Int j = 0; j < dimension; j++)
p[j] = coords[j];
idx = coords[dimension];
coords += dimension + 1;
if (idx + 1 >= (Int)SGs.size())
SGs.resize(idx + 1);
auto &sg = SGs[idx];
auto iter = sg.mp.find(p);
if (iter == sg.mp.end()) {
sg.mp[p] = nActive++;
outputRows.resize(nActive);
}
outputRows[sg.mp[p]].push_back(i);
}
}
rules.resize(2);
rules[0].push_back(mode);
rules[0].push_back(1); // replace with maxActive if mode==3 or 4
rules[0].push_back(nInputRows);
rules[0].push_back(outputRows.size());
auto &rule = rules[1];
if (mode == 1) {
for (Int i = 0; i < nActive; ++i) {
rule.push_back(1);
rule.push_back(outputRows[i].front());
}
}
if (mode == 2) {
for (Int i = 0; i < nActive; ++i) {
rule.push_back(1);
rule.push_back(outputRows[i].back());
}
}
if (mode == 3 or mode == 4) {
Int maxActive = 0;
for (auto &row : outputRows)
maxActive = std::max(maxActive, (Int)row.size());
rules[0][1] = maxActive;
for (auto &row : outputRows) {
rule.push_back(row.size());
for (auto &r : row)
rule.push_back(r);
rule.resize((rule.size() + maxActive) / (maxActive + 1) *
(maxActive + 1));
}
}
}
// Rulebook Format
// rules[0][0] == mode
// rules[0][1] == maxActive per spatial location (==1 for modes 0,1,2)
// rules[0][2] == batchSize
// rules[0][3] == length
// rules[0][4] == nOutputRows
// rules[1] nOutputRows x (1+maxActive)
// bl is a batchSize x length x dimension long array of coordinates
// mode 0==guaranteed unique and all present; 1==overwrite, 2=keep, 3=sum,
// 4=mean
template <Int dimension>
void blRules(SparseGrids<dimension> &SGs, RuleBook &rules, long *coords,
Int batchSize, Int length, Int mode, Int &nActive) {
assert(nActive == 0);
assert(rules.size() == 0);
assert(SGs.size() == 0);
SGs.resize(batchSize);
Int I;
if (mode == 0) {
nActive = batchSize * length;
rules.resize(1);
rules[0].push_back(mode);
rules[0].push_back(1);
rules[0].push_back(batchSize);
rules[0].push_back(length);
rules[0].push_back(nActive);
#pragma omp parallel for private(I)
for (I = 0; I < batchSize; I++) {
auto &sg = SGs[I];
sg.ctr = I * length;
auto c = coords + I * length * dimension;
Point<dimension> p;
for (Int l = 0; l < length; ++l) {
for (Int j = 0; j < dimension; ++j)
p[j] = c[j];
c += dimension;
sg.mp[p] = l;
}
}
return;
}
if (mode <= 2) {
// Compile list of how input rows correspond to output rows
std::vector<std::vector<Int>> outputRows(batchSize);
std::vector<Int> nActives(batchSize);
#pragma omp parallel for private(I)
for (I = 0; I < batchSize; I++) {
auto &sg = SGs[I];
auto &ors = outputRows[I];
auto &nAct = nActives[I];
auto c = coords + I * length * dimension;
Int i = I * length;
Point<dimension> p;
if (mode == 1) {
for (Int l = 0; l < length; ++l, ++i) {
for (Int j = 0; j < dimension; ++j)
p[j] = *c++;
if (p[0] >= 0) {
auto iter = sg.mp.find(p);
if (iter == sg.mp.end()) {
sg.mp[p] = nAct++;
ors.push_back(i);
} else {
ors[sg.mp[p]] = i;
}
}
}
}
if (mode == 2) {
for (Int l = 0; l < length; ++l, ++i) {
for (Int j = 0; j < dimension; ++j)
p[j] = *c++;
if (p[0] >= 0) {
auto iter = sg.mp.find(p);
if (iter == sg.mp.end()) {
sg.mp[p] = nAct++;
ors.push_back(i);
}
}
}
}
}
for (I = 0; I < batchSize; I++) {
SGs[I].ctr = nActive;
nActive += nActives[I];
}
Int maxActive = 1;
rules.resize(2);
rules[0].push_back(mode);
rules[0].push_back(maxActive);
rules[0].push_back(batchSize);
rules[0].push_back(length);
rules[0].push_back(nActive);
auto &rule = rules[1];
if (mode == 1) {
rule.resize(2 * nActive);
#pragma omp parallel for private(I)
for (I = 0; I < batchSize; I++) {
auto &ors = outputRows[I];
auto rr = &rule[SGs[I].ctr * 2];
for (auto &row : ors) {
rr[0] = 1;
rr[1] = row;
rr += 2;
}
}
}
return;
}
if (mode == 3 or mode == 4) {
// Compile list of how input rows correspond to output rows
std::vector<std::vector<std::vector<Int>>> outputRows(batchSize);
std::vector<Int> nActives(batchSize);
#pragma omp parallel for private(I)
for (I = 0; I < batchSize; I++) {
auto &sg = SGs[I];
auto &ors = outputRows[I];
auto &nAct = nActives[I];
auto c = coords + I * length * dimension;
Int i = I * length;
Point<dimension> p;
for (Int l = 0; l < length; ++l, ++i) {
for (Int j = 0; j < dimension; ++j)
p[j] = *c++;
if (p[0] >= 0) {
auto iter = sg.mp.find(p);
if (iter == sg.mp.end()) {
sg.mp[p] = nAct++;
ors.resize(nAct);
}
ors[sg.mp[p]].push_back(i);
}
}
}
for (I = 0; I < batchSize; I++) {
SGs[I].ctr = nActive;
nActive += nActives[I];
}
Int maxActive = 1;
if (mode >= 3)
for (auto &ors : outputRows)
for (auto &row : ors)
maxActive = std::max(maxActive, (Int)row.size());
rules.resize(2);
rules[0].push_back(mode);
rules[0].push_back(maxActive);
rules[0].push_back(batchSize);
rules[0].push_back(length);
rules[0].push_back(nActive);
auto &rule = rules[1];
rule.resize((maxActive + 1) * nActive);
#pragma omp parallel for private(I)
for (I = 0; I < batchSize; I++) {
auto &ors = outputRows[I];
auto rr = &rule[SGs[I].ctr * (maxActive + 1)];
for (auto &row : ors) {
rr[0] = row.size();
for (Int i = 0; i < (Int)row.size(); ++i)
rr[i + 1] = row[i];
rr += 1 + maxActive;
}
}
}
}
#endif /* INPUTLAYER_H */
|
als.c |
#include "completion.h"
#include "../csf.h"
#include "../util.h"
#include "../io.h"
#include "../sort.h"
#include <math.h>
#include <omp.h>
#include <time.h>
#include <sys/time.h>
/* TODO: Conditionally include this OR define lapack prototypes below?
* What does this offer beyond prototypes? Can we detect at compile time
* if we are using MKL vs ATLAS, etc.?
*/
//#include <mkl.h>
/* Use hardcoded 3-mode kernels when possible. Results in small speedups. */
#ifndef USE_3MODE_OPT
#define USE_3MODE_OPT 0
#endif
/******************************************************************************
* LAPACK PROTOTYPES
*****************************************************************************/
/*
* TODO: Can this be done in a better way?
*/
#if SPLATT_VAL_TYPEWIDTH == 32
void spotrf_(char *, int *, float *, int *, int *);
void spotrs_(char *, int *, int *, float *, int *, float *, int *, int *);
void ssyrk_(char *, char *, int *, int *, char *, char *, int *, char *, char *, int *);
#define LAPACK_DPOTRF spotrf_
#define LAPACK_DPOTRS spotrs_
#define LAPACK_DSYRK ssyrk_
#else
void dpotrf_(char *, int *, double *, int *, int *);
void dpotrs_(char *, int *, int *, double *, int *, double *, int *, int *);
void dsyrk_(char *, char *, int *, int *, double *, double *, int *, double *, double *, int *);
#define LAPACK_DPOTRF dpotrf_
#define LAPACK_DPOTRS dpotrs_
#define LAPACK_DSYRK dsyrk_
#endif
/******************************************************************************
* PRIVATE FUNCTIONS
*****************************************************************************/
static inline void p_add_hada_clear(
val_t * const restrict accum,
val_t * const restrict toclear,
val_t const * const restrict b,
idx_t const nfactors)
{
for(idx_t f=0; f < nfactors; ++f) {
accum[f] += toclear[f] * b[f];
toclear[f] = 0;
}
}
/**
* @brief Compute the Cholesky decomposition of the normal equations and solve
* for out_row. We only compute the upper-triangular portion of 'neqs',
* so work with the lower-triangular portion when column-major
* (for Fortran).
*
* @param neqs The NxN normal equations.
* @param[out] out_row The RHS of the equation. Updated in place.
* @param N The rank of the problem.
*/
static inline void p_invert_row(
val_t * const restrict neqs,
val_t * const restrict out_row,
idx_t const N)
{
char uplo = 'L';
int order = (int) N;
int lda = (int) N;
int info;
LAPACK_DPOTRF(&uplo, &order, neqs, &lda, &info);
if(info) {
fprintf(stderr, "SPLATT: DPOTRF returned %d\n", info);
}
int nrhs = 1;
int ldb = (int) N;
LAPACK_DPOTRS(&uplo, &order, &nrhs, neqs, &lda, out_row, &ldb, &info);
if(info) {
fprintf(stderr, "SPLATT: DPOTRS returned %d\n", info);
}
}
/**
* @brief Compute DSYRK: out += A^T * A, a rank-k update. Only compute
* the upper-triangular portion.
*
* @param A The input row(s) to update with.
* @param N The length of 'A'.
* @param nvecs The number of rows in 'A'.
* @param nflush Then number of times this has been performed (this slice).
* @param[out] out The NxN matrix to update.
*/
static inline void p_vec_oprod(
val_t * const restrict A,
idx_t const N,
idx_t const nvecs,
idx_t const nflush,
val_t * const restrict out)
{
char uplo = 'L';
char trans = 'N';
int order = (int) N;
int k = (int) nvecs;
int lda = (int) N;
int ldc = (int) N;
val_t alpha = 1;
val_t beta = (nflush == 0) ? 0. : 1.;
LAPACK_DSYRK(&uplo, &trans, &order, &k, &alpha, A, &lda, &beta, out, &ldc);
}
static void p_process_tile3(
splatt_csf const * const csf,
idx_t const tile,
tc_model * const model,
tc_ws * const ws,
thd_info * const thd_densefactors,
int const tid)
{
csf_sparsity const * const pt = csf->pt + tile;
/* empty tile */
if(pt->vals == 0) {
return;
}
idx_t const nfactors = model->rank;
idx_t const * const restrict sptr = pt->fptr[0];
idx_t const * const restrict fptr = pt->fptr[1];
idx_t const * const restrict fids = pt->fids[1];
idx_t const * const restrict inds = pt->fids[2];
val_t const * const restrict avals = model->factors[csf->dim_perm[1]];
val_t const * const restrict bvals = model->factors[csf->dim_perm[2]];
val_t const * const restrict vals = pt->vals;
/* buffers */
val_t * const restrict accum = ws->thds[tid].scratch[1];
val_t * const restrict mat_accum = ws->thds[tid].scratch[3];
/* update each slice */
idx_t const nslices = pt->nfibs[0];
for(idx_t i=0; i < nslices; ++i) {
/* fid is the row we are actually updating */
idx_t const fid = (pt->fids[0] == NULL) ? i : pt->fids[0][i];
/* replicated structures */
val_t * const restrict out_row =
(val_t *) thd_densefactors[tid].scratch[0] + (fid * nfactors);
val_t * const restrict neqs =
(val_t *) thd_densefactors[tid].scratch[1] + (fid*nfactors*nfactors);
idx_t bufsize = 0; /* how many hada vecs are in mat_accum */
idx_t nflush = 1; /* how many times we have flushed to add to the neqs */
val_t * restrict hada = mat_accum;
/* process each fiber */
for(idx_t fib=sptr[i]; fib < sptr[i+1]; ++fib) {
val_t const * const restrict av = avals + (fids[fib] * nfactors);
/* first entry of the fiber is used to initialize accum */
idx_t const jjfirst = fptr[fib];
val_t const vfirst = vals[jjfirst];
val_t const * const restrict bv = bvals + (inds[jjfirst] * nfactors);
for(idx_t r=0; r < nfactors; ++r) {
accum[r] = vfirst * bv[r];
hada[r] = av[r] * bv[r];
}
hada += nfactors;
if(++bufsize == ALS_BUFSIZE) {
/* add to normal equations */
p_vec_oprod(mat_accum, nfactors, bufsize, nflush++, neqs);
hada = mat_accum;
bufsize = 0;
}
/* foreach nnz in fiber */
for(idx_t jj=fptr[fib]+1; jj < fptr[fib+1]; ++jj) {
val_t const v = vals[jj];
val_t const * const restrict bv = bvals + (inds[jj] * nfactors);
for(idx_t r=0; r < nfactors; ++r) {
accum[r] += v * bv[r];
hada[r] = av[r] * bv[r];
}
hada += nfactors;
if(++bufsize == ALS_BUFSIZE) {
/* add to normal equations */
p_vec_oprod(mat_accum, nfactors, bufsize, nflush++, neqs);
hada = mat_accum;
bufsize = 0;
}
}
/* accumulate into output row */
for(idx_t r=0; r < nfactors; ++r) {
out_row[r] += accum[r] * av[r];
}
} /* foreach fiber */
/* final flush */
p_vec_oprod(mat_accum, nfactors, bufsize, nflush++, neqs);
} /* foreach slice */
}
static void p_process_slice(
splatt_csf const * const csf,
idx_t const tile,
idx_t const i,
val_t * * mvals,
idx_t const nfactors,
val_t * const restrict out_row,
val_t * const accum,
val_t * const restrict neqs,
val_t * const restrict neqs_buf,
val_t * const neqs_buf_tree,
idx_t * const nflush,
double *mttkrp_time);
static void p_process_tile(
splatt_csf const * const csf,
idx_t const tile,
tc_model * const model,
tc_ws * const ws,
thd_info * const thd_densefactors,
int const tid,
double *mttkrp_time)
{
csf_sparsity const * const pt = csf->pt + tile;
/* empty tile */
if(pt->vals == 0) {
return;
}
idx_t const nmodes = csf->nmodes;
#if USE_3MODE_OPT
if(nmodes == 3) {
p_process_tile3(csf, tile, model, ws, thd_densefactors, tid);
return;
}
#endif
idx_t const nfactors = model->rank;
/* buffers */
val_t * const restrict accum = ws->thds[tid].scratch[1];
val_t * const restrict mat_accum = ws->thds[tid].scratch[3];
val_t * const restrict hada_accum = ws->thds[tid].scratch[4];
val_t * mvals[MAX_NMODES];
for(idx_t m=0; m < nmodes; ++m) {
mvals[m] = model->factors[csf->dim_perm[m]];
}
/* update each slice */
idx_t const nslices = pt->nfibs[0];
for(idx_t i=0; i < nslices; ++i) {
/* fid is the row we are actually updating */
idx_t const fid = (pt->fids[0] == NULL) ? i : pt->fids[0][i];
/* replicated structures */
val_t * const restrict out_row =
(val_t *) thd_densefactors[tid].scratch[0] + (fid * nfactors);
val_t * const restrict neqs =
(val_t *) thd_densefactors[tid].scratch[1] + (fid*nfactors*nfactors);
idx_t bufsize = 0; /* how many hada vecs are in mat_accum */
idx_t nflush = 1; /* how many times we have flushed to add to the neqs */
val_t * restrict hada = mat_accum;
/* process each fiber */
p_process_slice(csf, tile, i, mvals, nfactors, out_row, accum, neqs,
mat_accum, hada_accum, &nflush, mttkrp_time);
} /* foreach slice */
}
static void p_process_slice3(
splatt_csf const * const csf,
idx_t const tile,
idx_t const i,
val_t const * const restrict A,
val_t const * const restrict B,
idx_t const nfactors,
val_t * const restrict out_row,
val_t * const restrict accum,
val_t * const restrict neqs,
val_t * const restrict neqs_buf,
idx_t * const nflush)
{
csf_sparsity const * const pt = csf->pt + tile;
idx_t const * const restrict sptr = pt->fptr[0];
idx_t const * const restrict fptr = pt->fptr[1];
idx_t const * const restrict fids = pt->fids[1];
idx_t const * const restrict inds = pt->fids[2];
val_t const * const restrict vals = pt->vals;
val_t * hada = neqs_buf;
idx_t bufsize = 0;
/* process each fiber */
for(idx_t fib=sptr[i]; fib < sptr[i+1]; ++fib) {
val_t const * const restrict av = A + (fids[fib] * nfactors);
/* first entry of the fiber is used to initialize accum */
idx_t const jjfirst = fptr[fib];
val_t const vfirst = vals[jjfirst];
val_t const * const restrict bv = B + (inds[jjfirst] * nfactors);
for(idx_t r=0; r < nfactors; ++r) {
accum[r] = vfirst * bv[r];
hada[r] = av[r] * bv[r];
}
hada += nfactors;
if(++bufsize == ALS_BUFSIZE) {
/* add to normal equations */
p_vec_oprod(neqs_buf, nfactors, bufsize, (*nflush)++, neqs);
bufsize = 0;
hada = neqs_buf;
}
/* foreach nnz in fiber */
for(idx_t jj=fptr[fib]+1; jj < fptr[fib+1]; ++jj) {
val_t const v = vals[jj];
val_t const * const restrict bv = B + (inds[jj] * nfactors);
for(idx_t r=0; r < nfactors; ++r) {
accum[r] += v * bv[r];
hada[r] = av[r] * bv[r];
}
hada += nfactors;
if(++bufsize == ALS_BUFSIZE) {
/* add to normal equations */
p_vec_oprod(neqs_buf, nfactors, bufsize, (*nflush)++, neqs);
bufsize = 0;
hada = neqs_buf;
}
}
/* accumulate into output row */
for(idx_t r=0; r < nfactors; ++r) {
out_row[r] += accum[r] * av[r];
}
} /* foreach fiber */
/* final flush */
p_vec_oprod(neqs_buf, nfactors, bufsize, (*nflush)++, neqs);
}
static void p_process_slice(
splatt_csf const * const csf,
idx_t const tile,
idx_t const i,
val_t * * mvals,
idx_t const nfactors,
val_t * const restrict out_row,
val_t * const accum,
val_t * const restrict neqs,
val_t * const restrict neqs_buf,
val_t * const neqs_buf_tree,
idx_t * const nflush,
double *mttkrp_time)
{
struct timeval start_t, stop_t;
idx_t const nmodes = csf->nmodes;
csf_sparsity const * const pt = csf->pt + tile;
val_t const * const restrict vals = pt->vals;
if(vals == NULL) {
return;
}
#if USE_3MODE_OPT
if(nmodes == 3) {
p_process_slice3(csf, tile, i, mvals[1], mvals[2], nfactors, out_row,
accum, neqs, neqs_buf, nflush);
return;
}
#endif
idx_t const * const * const restrict fp = (idx_t const * const *) pt->fptr;
idx_t const * const * const restrict fids = (idx_t const * const *) pt->fids;
idx_t const * const restrict inds = fids[nmodes-1];
val_t const * const restrict lastmat = mvals[nmodes-1];
idx_t bufsize = 0;
val_t * hada = neqs_buf;
gettimeofday(&start_t, NULL);
/* push initial idx initialize idxstack */
idx_t idxstack[MAX_NMODES];
idxstack[0] = i;
for(idx_t m=1; m < nmodes-1; ++m) {
idxstack[m] = fp[m-1][idxstack[m-1]];
}
idx_t const top_id = (pt->fids[0] == NULL) ? i : pt->fids[0][i];
val_t const * const restrict rootrow = mvals[0] + (top_id * nfactors);
for(idx_t f=0; f < nfactors; ++f) {
neqs_buf_tree[f] = 1.;
}
/* clear out accumulation buffer */
for(idx_t f=0; f < nfactors; ++f) {
accum[f + nfactors] = 0;
}
/* process each subtree */
idx_t depth = 0;
while(idxstack[1] < fp[0][i+1]) {
/* move down to nnz node while forming hada */
for(; depth < nmodes-2; ++depth) {
val_t const * const restrict drow
= mvals[depth+1] + (fids[depth+1][idxstack[depth+1]] * nfactors);
val_t const * const restrict cur_buf = neqs_buf_tree + ((depth+0) * nfactors);
val_t * const restrict nxt_buf = neqs_buf_tree + ((depth+1) * nfactors);
for(idx_t f=0; f < nfactors; ++f) {
nxt_buf[f] = cur_buf[f] * drow[f];
}
}
val_t * const restrict last_hada = neqs_buf_tree + (depth * nfactors);
val_t * const restrict accum_nnz = accum + ((depth+1) * nfactors);
/* process all nonzeros [start, end) */
idx_t const start = fp[depth][idxstack[depth]];
idx_t const end = fp[depth][idxstack[depth]+1];
for(idx_t jj=start; jj < end; ++jj) {
val_t const v = vals[jj];
val_t const * const restrict lastrow = lastmat + (inds[jj] * nfactors);
/* process nnz */
for(idx_t f=0; f < nfactors; ++f) {
accum_nnz[f] += v * lastrow[f];
hada[f] = last_hada[f] * lastrow[f];
}
/* add to normal equations */
hada += nfactors;
if(++bufsize == ALS_BUFSIZE) {
p_vec_oprod(neqs_buf, nfactors, bufsize, (*nflush)++, neqs);
bufsize = 0;
hada = neqs_buf;
}
}
idxstack[depth+1] = end;
/* propagate MTTKRP up */
do {
val_t const * const restrict fibrow
= mvals[depth] + (fids[depth][idxstack[depth]] * nfactors);
val_t * const restrict up = accum + ((depth+0) * nfactors);
val_t * const restrict down = accum + ((depth+1) * nfactors);
/*
* up[:] += down[:] * fibrow[:];
* down[:] = 0.;
*/
p_add_hada_clear(up, down, fibrow, nfactors);
++idxstack[depth];
--depth;
} while(depth > 0 && idxstack[depth+1] == fp[depth][idxstack[depth]+1]);
} /* foreach fiber subtree */
/* accumulate into output row */
for(idx_t f=0; f < nfactors; ++f) {
out_row[f] += accum[f + nfactors];
}
gettimeofday(&stop_t, NULL);
*mttkrp_time += (stop_t.tv_sec + stop_t.tv_usec/1000000.0) - (start_t.tv_sec + start_t.tv_usec/1000000.0);
/* final flush */
p_vec_oprod(neqs_buf, nfactors, bufsize, (*nflush)++, neqs);
}
/**
* @brief Compute the i-ith row of the MTTKRP, form the normal equations, and
* store the new row.
*
* @param csf The tensor of training data.
* @param tile The tile that row i resides in.
* @param i The row to update.
* @param reg Regularization parameter for the i-th row.
* @param model The model to update
* @param ws Workspace.
* @param tid OpenMP thread id.
*/
static void p_update_slice(
splatt_csf const * const csf,
idx_t const tile,
idx_t const i,
val_t const reg,
tc_model * const model,
tc_ws * const ws,
int const tid,
double *solving_time,
double *mttkrp_time)
{
idx_t const nmodes = csf->nmodes;
idx_t const nfactors = model->rank;
csf_sparsity const * const pt = csf->pt + tile;
/* fid is the row we are actually updating */
idx_t const fid = (pt->fids[0] == NULL) ? i : pt->fids[0][i];
#ifdef SPLATT_USE_MPI
assert(fid < model->globmats[csf->dim_perm[0]]->I);
val_t * const restrict out_row = model->globmats[csf->dim_perm[0]]->vals +
(fid * nfactors);
#else
val_t * const restrict out_row = model->factors[csf->dim_perm[0]] +
(fid * nfactors);
#endif
val_t * const restrict accum = ws->thds[tid].scratch[1];
val_t * const restrict neqs = ws->thds[tid].scratch[2];
idx_t bufsize = 0; /* how many hada vecs are in mat_accum */
idx_t nflush = 0; /* how many times we have flushed to add to the neqs */
val_t * const restrict mat_accum = ws->thds[tid].scratch[3];
val_t * hada = mat_accum;
val_t * const restrict hada_accum = ws->thds[tid].scratch[4];
/* clear out buffers */
for(idx_t m=0; m < nmodes; ++m) {
for(idx_t f=0; f < nfactors; ++f) {
accum[f + (m*nfactors)] = 0.;
}
for(idx_t f=0; f < nfactors; ++f) {
hada_accum[f + (m*nfactors)] = 0.;
}
}
for(idx_t f=0; f < nfactors; ++f) {
out_row[f] = 0;
}
/* grab factors */
val_t * mats[MAX_NMODES];
for(idx_t m=0; m < nmodes; ++m) {
mats[m] = model->factors[csf->dim_perm[m]];
}
/* do MTTKRP + dsyrk */
p_process_slice(csf, 0, i, mats, nfactors, out_row, accum, neqs, mat_accum,
hada_accum, &nflush, mttkrp_time);
struct timeval start, stop;
gettimeofday(&start, NULL);
/* add regularization to the diagonal */
for(idx_t f=0; f < nfactors; ++f) {
neqs[f + (f * nfactors)] += reg;
}
/* solve! */
p_invert_row(neqs, out_row, nfactors);
gettimeofday(&stop, NULL);
*solving_time += (stop.tv_sec + stop.tv_usec/1000000.0) - (start.tv_sec + start.tv_usec/1000000.0);
}
/**
* @brief Update factor[m] which follows a dense mode. This function should be
* called from inside an OpenMP parallel region!
*
* @param csf The CSF tensor array. csf[m] is a tiled tensor.
* @param m The mode we are updating.
* @param model The current model.
* @param ws Workspace info.
* @param thd_densefactors Thread structures for the dense mode.
* @param tid Thread ID.
*/
static void p_densemode_als_update(
splatt_csf const * const csf,
idx_t const m,
tc_model * const model,
tc_ws * const ws,
thd_info * const thd_densefactors,
int const tid,
double *solving_time,
double *mttkrp_time)
{
struct timeval start, stop;
idx_t const rank = model->rank;
/* master thread writes/aggregates directly to the model */
#pragma omp master
#ifdef SPLATT_USE_MPI
SPLATT_VPTR_SWAP(thd_densefactors[0].scratch[0], model->globmats[m]->vals);
idx_t const dense_slices = model->globmats[m]->I;
#else
SPLATT_VPTR_SWAP(thd_densefactors[0].scratch[0], model->factors[m]);
idx_t const dense_slices = model->dims[m];
#endif
/* TODO: this could be better by instead only initializing neqs with beta=0
* and keeping track of which have been updated. */
memset(thd_densefactors[tid].scratch[0], 0,
dense_slices * rank * sizeof(val_t));
memset(thd_densefactors[tid].scratch[1], 0,
dense_slices * rank * rank * sizeof(val_t));
#pragma omp barrier
/* update each tile in parallel */
#pragma omp for schedule(dynamic, 1)
for(idx_t tile=0; tile < csf[m].ntiles; ++tile) {
p_process_tile(csf+m, tile, model, ws, thd_densefactors, tid, mttkrp_time);
}
/* aggregate partial products */
thd_reduce(thd_densefactors, 0,
dense_slices * rank, REDUCE_SUM);
/* TODO: this could be better by using a custom reduction which only
* operates on the upper triangular portion. OpenMP 4 declare reduction
* would be good here? */
thd_reduce(thd_densefactors, 1,
dense_slices * rank * rank, REDUCE_SUM);
/* save result to model */
#pragma omp master
#ifdef SPLATT_USE_MPI
SPLATT_VPTR_SWAP(thd_densefactors[0].scratch[0], model->globmats[m]->vals);
#else
SPLATT_VPTR_SWAP(thd_densefactors[0].scratch[0], model->factors[m]);
#endif
#pragma omp barrier
/* do all of the Cholesky factorizations */
#ifdef SPLATT_USE_MPI
val_t * const restrict out = model->globmats[m]->vals;
#else
val_t * const restrict out = model->factors[m];
#endif
val_t const reg = ws->regularization[m];
#pragma omp for schedule(static, 1)
for(idx_t i=0; i < dense_slices; ++i) {
gettimeofday(&start, NULL);
val_t * const restrict neqs_i =
(val_t *) thd_densefactors[0].scratch[1] + (i * rank * rank);
/* add regularization */
for(idx_t f=0; f < rank; ++f) {
neqs_i[f + (f * rank)] += reg;
}
/* Cholesky + solve */
p_invert_row(neqs_i, out + (i * rank), rank);
gettimeofday(&stop, NULL);
*solving_time += (stop.tv_sec + stop.tv_usec/1000000.0) - (start.tv_sec + start.tv_usec/1000000.0);
}
}
static void getLvrgScore(val_t * A, val_t **lev_score, idx_t rank, idx_t nrows, int factor){
char jobu = 'S';
char jobvt = 'N';
int m = (int)nrows;
int n = (int)rank;
int lda = m;
int ldu = m;
int ldvt = n;
double *S = (double *)malloc(n * sizeof(double));
double *U = (double *)malloc((ldu*n) * sizeof(double));
double *VT;
int lwork = -1;
double wkopt;
double *work;
int info;
double *a = (double *)malloc((nrows*rank) * sizeof(double));
for(int i=0; i<nrows; i++)
for(int j=0; j<rank; j++)
a[j*nrows + i] = A[i*rank + j];
// Query and allocate appropriate workspace
dgesvd_(&jobu, &jobvt, &m, &n, a, &lda, S, U, &ldu, VT, &ldvt, &wkopt, &lwork, &info);
if(info)
printf("info return %d\n",info);
lwork = (int)wkopt;
work = (double *)malloc(lwork*sizeof(double));
/* Compute SVD */
dgesvd_(&jobu, &jobvt, &m, &n, a, &lda, S, U, &ldu, VT, &ldvt, work, &lwork, &info);
if(info)
printf("info return %d\n",info);
for(int i=0; i<m; i++){
val_t sum = 0.0;
for(int j=0; j<n; j++)
sum += U[i + j*ldu] * U[i + j*ldu];
sum = sqrt((double)sum);
lev_score[factor][i] = sum;
}
}
#ifdef SPLATT_USE_MPI
static void p_update_factor_all2all(
tc_model * const model,
tc_ws * const ws,
idx_t const mode)
{
rank_info * const rinfo = ws->rinfo;
idx_t const m = mode;
idx_t const nfactors = model->rank;
idx_t const nglobrows = model->globmats[m]->I;
val_t const * const restrict gmatv = model->globmats[m]->vals;
/* ensure local info is up to date */
assert(rinfo->ownstart[m] + rinfo->nowned[m] <= model->dims[m]);
val_t * const restrict matv = model->factors[m];
par_memcpy(matv + (rinfo->ownstart[m] * nfactors), gmatv,
rinfo->nowned[m] * nfactors * sizeof(*matv));
if(rinfo->layer_size[mode] == 1) {
return;
}
/* first prepare all values that I own and need to send */
idx_t const mat_start = rinfo->mat_start[m];
idx_t const * const restrict nbr2globs_inds = rinfo->nbr2globs_inds[m];
idx_t const * const restrict local2nbr_inds = rinfo->local2nbr_inds[m];
idx_t const nsends = rinfo->nnbr2globs[m];
idx_t const nrecvs = rinfo->nlocal2nbr[m];
val_t * const restrict nbr2globs_buf = ws->nbr2globs_buf;
val_t * const restrict nbr2local_buf = ws->local2nbr_buf;
/* fill send buffer */
#pragma omp for
for(idx_t s=0; s < nsends; ++s) {
assert(nbr2globs_inds[s] >= mat_start);
idx_t const row = nbr2globs_inds[s] - mat_start;
val_t * const restrict buf_row = nbr2globs_buf + (s * nfactors);
val_t const * const restrict gmat_row = gmatv + (row * nfactors);
for(idx_t f=0; f < nfactors; ++f) {
buf_row[f] = gmat_row[f];
}
}
/* exchange entries */
#pragma omp master
{
/* grab ptr/disp from rinfo. nbr2local and local2nbr will have the same
* structure so we just reuse those */
int const * const restrict nbr2globs_ptr = rinfo->nbr2globs_ptr[m];
int const * const restrict nbr2local_ptr = rinfo->local2nbr_ptr[m];
int const * const restrict nbr2globs_disp = rinfo->nbr2globs_disp[m];
int const * const restrict nbr2local_disp = rinfo->local2nbr_disp[m];
timer_start(&timers[TIMER_MPI_COMM]);
MPI_Alltoallv(nbr2globs_buf, nbr2globs_ptr, nbr2globs_disp, SPLATT_MPI_VAL,
nbr2local_buf, nbr2local_ptr, nbr2local_disp, SPLATT_MPI_VAL,
rinfo->layer_comm[m]);
timer_stop(&timers[TIMER_MPI_COMM]);
}
#pragma omp barrier
/* now write incoming values to my local matrix */
#pragma omp for
for(idx_t r=0; r < nrecvs; ++r) {
idx_t const row = local2nbr_inds[r];
assert(row < rinfo->ownstart[m] || row >= rinfo->ownend[m]);
val_t * const restrict mat_row = matv + (row * nfactors);
val_t const * const restrict buf_row = nbr2local_buf + (r * nfactors);
for(idx_t f=0; f < nfactors; ++f) {
mat_row[f] = buf_row[f];
}
}
}
static void p_init_mpi(
sptensor_t const * const train,
tc_model * const model,
tc_ws * const ws)
{
idx_t maxlocal2nbr = 0;
idx_t maxnbr2globs = 0;
for(idx_t m=0; m < train->nmodes; ++m) {
maxlocal2nbr = SS_MAX(maxlocal2nbr, ws->rinfo->nlocal2nbr[m]);
maxnbr2globs = SS_MAX(maxnbr2globs, ws->rinfo->nnbr2globs[m]);
}
ws->local2nbr_buf = splatt_malloc(model->rank*maxlocal2nbr * sizeof(val_t));
ws->nbr2globs_buf = splatt_malloc(model->rank*maxnbr2globs * sizeof(val_t));
/* get initial factors */
for(idx_t m=0; m < train->nmodes; ++m) {
p_update_factor_all2all(model, ws, m);
}
timer_reset(&timers[TIMER_MPI_COMM]);
}
#endif
/******************************************************************************
* PUBLIC FUNCTIONS
*****************************************************************************/
void splatt_tc_als(
sptensor_t * train,
sptensor_t * const validate,
tc_model * const model,
tc_ws * const ws)
{
idx_t const nmodes = train->nmodes;
idx_t const nfactors = model->rank;
#ifdef SPLATT_USE_MPI
rank_info * rinfo = ws->rinfo;
int const rank = rinfo->rank;
#else
int const rank = 0;
#endif
// if(rank == 0) {
// printf("BUFSIZE=%d\n", ALS_BUFSIZE);
// printf("USE_3MODE_OPT=%d\n", USE_3MODE_OPT);
// }
/* store dense modes redundantly among threads */
thd_info * thd_densefactors = NULL;
if(ws->num_dense > 0) {
thd_densefactors = thd_init(ws->nthreads, 3,
ws->maxdense_dim * nfactors * sizeof(val_t), /* accum */
ws->maxdense_dim * nfactors * nfactors * sizeof(val_t), /* neqs */
ws->maxdense_dim * sizeof(int)); /* nflush */
// if(rank == 0) {
// printf("REPLICATING MODES:");
// for(idx_t m=0; m < nmodes; ++m) {
// if(ws->isdense[m]) {
// printf(" %"SPLATT_PF_IDX, m+1);
// }
// }
// printf("\n\n");
// }
}
/* load-balanced partition each mode for threads */
idx_t * parts[MAX_NMODES];
splatt_csf csf[MAX_NMODES];
/* convert training data to CSF-ALLMODE */
double * opts = splatt_default_opts();
opts[SPLATT_OPTION_NTHREADS] = ws->nthreads;
opts[SPLATT_OPTION_CSF_ALLOC] = SPLATT_CSF_ALLMODE;
#ifdef SPLATT_USE_MPI
sptensor_t * both = NULL;
if(validate != NULL) {
both = tt_union(train, validate);
}
for(idx_t m=0; m < nmodes; ++m) {
/* setup communication structures */
mpi_find_owned(train, m, rinfo);
if(validate != NULL) {
mpi_compute_ineed(rinfo, both, m, nfactors, 1);
} else {
mpi_compute_ineed(rinfo, train, m, nfactors, 1);
}
}
if(validate != NULL) {
tt_free(both);
}
#endif
for(idx_t m=0; m < nmodes; ++m) {
#ifdef SPLATT_USE_MPI
/* tt has more nonzeros than any of the modes actually need, so we need
* to filter them first. */
sptensor_t * tt_filtered = mpi_filter_tt_1d(train, m,
rinfo->mat_start[m], rinfo->mat_end[m]);
assert(tt_filtered->dims[m] == rinfo->mat_end[m] - rinfo->mat_start[m]);
assert(train->indmap[m] == NULL);
assert(tt_filtered->indmap[m] == NULL);
#endif
if(ws->isdense[m]) {
/* standard CSF allocation for sparse modes */
opts[SPLATT_OPTION_TILE] = SPLATT_DENSETILE;
opts[SPLATT_OPTION_TILEDEPTH] = 1; /* don't tile dense mode */
#ifdef SPLATT_USE_MPI
csf_alloc_mode(tt_filtered, CSF_SORTED_MINUSONE, m, csf+m, opts);
#else
csf_alloc_mode(train, CSF_SORTED_MINUSONE, m, csf+m, opts);
#endif
parts[m] = NULL;
} else {
/* standard CSF allocation for sparse modes */
opts[SPLATT_OPTION_TILE] = SPLATT_NOTILE;
#ifdef SPLATT_USE_MPI
csf_alloc_mode(tt_filtered, CSF_SORTED_MINUSONE, m, csf+m, opts);
#else
csf_alloc_mode(train, CSF_SORTED_MINUSONE, m, csf+m, opts);
#endif
parts[m] = csf_partition_1d(csf+m, 0, ws->nthreads);
}
#ifdef SPLATT_USE_MPI
tt_free(tt_filtered);
#ifdef SPLATT_DEBUG
/* sanity check on nnz */
idx_t totnnz;
MPI_Allreduce(&(csf[m].nnz), &totnnz, 1, SPLATT_MPI_IDX, MPI_SUM,
rinfo->comm_3d);
assert(totnnz == rinfo->global_nnz);
#endif
#endif
}
#ifdef SPLATT_USE_MPI
p_init_mpi(train, model, ws);
/* TERRIBLE HACK for loss computation */
sptensor_t * train_back = train;
sptensor_t * tt_filter = mpi_filter_tt_1d(train, 0, rinfo->mat_start[0],
rinfo->mat_end[0]);
#pragma omp parallel for
for(idx_t n=0; n < tt_filter->nnz; ++n) {
tt_filter->ind[0][n] += rinfo->mat_start[0];
}
train = tt_filter;
#endif
// if(rank == 0) {
// printf("\n");
// }
val_t loss = tc_loss_sq(train, model, ws);
val_t frobsq = tc_frob_sq(model, ws);
tc_converge(train, validate, model, loss, frobsq, 0, ws);
double avg_solving_time[3] = {0.0, 0.0, 0.0};
double avg_mttkrp_time[3] = {0.0, 0.0, 0.0};
double avg_tot_time[3] = {0.0, 0.0, 0.0};
int count=0;
FILE *f_lev = fopen("Leverage_als.csv", "w");
sp_timer_t mode_timer;
timer_reset(&mode_timer);
timer_start(&ws->tc_time);
val_t **lev_score = (val_t **)malloc(nmodes * sizeof(val_t *));
for(int i=0; i<nmodes; i++)
lev_score[i] = (val_t *)malloc((model->dims[i])*sizeof(val_t));
for(idx_t e=1; e < ws->max_its+1; ++e) {
count++;
for(int i=0; i<nmodes; i++)
getLvrgScore(model->factors[i], lev_score, model->rank, model->dims[i], i);
#pragma omp parallel
{
int const tid = splatt_omp_get_thread_num();
for(idx_t m=0; m < nmodes; ++m) {
double solving_time = 0.0;
double mttkrp_time = 0.0;
#pragma omp master
timer_fstart(&mode_timer);
if(ws->isdense[m]) {
p_densemode_als_update(csf, m, model, ws, thd_densefactors, tid, &solving_time, &mttkrp_time);
/* dense modes are easy */
} else {
/* update each row in parallel */
for(idx_t i=parts[m][tid]; i < parts[m][tid+1]; ++i) {
p_update_slice(csf+m, 0, i, ws->regularization[m], model, ws, tid, &solving_time, &mttkrp_time);
}
}
#pragma omp barrier
#ifdef SPLATT_USE_MPI
p_update_factor_all2all(model, ws, m);
#endif
#pragma omp barrier
#pragma omp master
{
timer_stop(&mode_timer);
if(rank == 0) {
for(int i=0; i<model->dims[m]; i++)
fprintf(f_lev, "%lf,", lev_score[m][i]);
fprintf(f_lev, "\n");
avg_tot_time[m] += (double)mode_timer.seconds;
avg_mttkrp_time[m] += mttkrp_time;
avg_solving_time[m] += solving_time;
// printf(" mode: %"SPLATT_PF_IDX" time: %0.3fs\n", m+1,
// mode_timer.seconds);
// printf("Solving Time: %lf\n",solving_time);
// printf("MTTKRP Time: %lf\n", mttkrp_time);
// printf("\n");
}
}
#pragma omp barrier
} /* foreach mode */
} /* end omp parallel */
/* compute new obj value, print stats, and exit if converged */
val_t loss = tc_loss_sq(train, model, ws);
val_t frobsq = tc_frob_sq(model, ws);
if(tc_converge(train, validate, model, loss, frobsq, e, ws)) {
break;
}
} /* foreach iteration */
printf("\n");
for(int i=0; i<nmodes; i++){
printf("MODE: %d\n-----------\n", i);
printf(" Total Time: %lf\n", (avg_tot_time[i]/count));
printf(" MTTKRP Time: %lf\n", (avg_mttkrp_time[i]/count));
printf(" Solving Time: %lf\n",(avg_solving_time[i]/count));
printf("\n");
}
#ifdef SPLATT_USE_MPI
/* UNDO TERRIBLE HACK */
tt_free(train);
train = train_back;
#endif
/* cleanup */
for(idx_t m=0; m < nmodes; ++m) {
csf_free_mode(csf+m);
splatt_free(parts[m]);
}
if(ws->maxdense_dim > 0) {
thd_free(thd_densefactors, ws->nthreads);
}
}
|
nvector_openmp.c | /* -----------------------------------------------------------------
* Programmer(s): David J. Gardner and Carol S. Woodward @ LLNL
* -----------------------------------------------------------------
* Acknowledgements: This NVECTOR module is based on the NVECTOR
* Serial module by Scott D. Cohen, Alan C.
* Hindmarsh, Radu Serban, and Aaron Collier
* @ LLNL
* -----------------------------------------------------------------
* SUNDIALS Copyright Start
* Copyright (c) 2002-2020, Lawrence Livermore National Security
* and Southern Methodist University.
* All rights reserved.
*
* See the top-level LICENSE and NOTICE files for details.
*
* SPDX-License-Identifier: BSD-3-Clause
* SUNDIALS Copyright End
* -----------------------------------------------------------------
* This is the implementation file for an OpenMP implementation
* of the NVECTOR module.
* -----------------------------------------------------------------*/
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#include <nvector/nvector_openmp.h>
#include <sundials/sundials_math.h>
#define ZERO RCONST(0.0)
#define HALF RCONST(0.5)
#define ONE RCONST(1.0)
#define ONEPT5 RCONST(1.5)
/* Private functions for special cases of vector operations */
static void VCopy_OpenMP(N_Vector x, N_Vector z); /* z=x */
static void VSum_OpenMP(N_Vector x, N_Vector y, N_Vector z); /* z=x+y */
static void VDiff_OpenMP(N_Vector x, N_Vector y, N_Vector z); /* z=x-y */
static void VNeg_OpenMP(N_Vector x, N_Vector z); /* z=-x */
static void VScaleSum_OpenMP(realtype c, N_Vector x, N_Vector y, N_Vector z); /* z=c(x+y) */
static void VScaleDiff_OpenMP(realtype c, N_Vector x, N_Vector y, N_Vector z); /* z=c(x-y) */
static void VLin1_OpenMP(realtype a, N_Vector x, N_Vector y, N_Vector z); /* z=ax+y */
static void VLin2_OpenMP(realtype a, N_Vector x, N_Vector y, N_Vector z); /* z=ax-y */
static void Vaxpy_OpenMP(realtype a, N_Vector x, N_Vector y); /* y <- ax+y */
static void VScaleBy_OpenMP(realtype a, N_Vector x); /* x <- ax */
/* Private functions for special cases of vector array operations */
static int VSumVectorArray_OpenMP(int nvec, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=X+Y */
static int VDiffVectorArray_OpenMP(int nvec, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=X-Y */
static int VScaleSumVectorArray_OpenMP(int nvec, realtype c, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=c(X+Y) */
static int VScaleDiffVectorArray_OpenMP(int nvec, realtype c, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=c(X-Y) */
static int VLin1VectorArray_OpenMP(int nvec, realtype a, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=aX+Y */
static int VLin2VectorArray_OpenMP(int nvec, realtype a, N_Vector* X, N_Vector* Y, N_Vector* Z); /* Z=aX-Y */
static int VaxpyVectorArray_OpenMP(int nvec, realtype a, N_Vector* X, N_Vector* Y); /* Y <- aX+Y */
/*
* -----------------------------------------------------------------
* exported functions
* -----------------------------------------------------------------
*/
/* ----------------------------------------------------------------
* Returns vector type ID. Used to identify vector implementation
* from abstract N_Vector interface.
*/
N_Vector_ID N_VGetVectorID_OpenMP(N_Vector v)
{
return SUNDIALS_NVEC_OPENMP;
}
/* ----------------------------------------------------------------------------
* Function to create a new empty vector
*/
N_Vector N_VNewEmpty_OpenMP(sunindextype length, int num_threads)
{
N_Vector v;
N_VectorContent_OpenMP content;
/* Create vector */
v = NULL;
v = N_VNewEmpty();
if (v == NULL) return(NULL);
/* Attach operations */
/* constructors, destructors, and utility operations */
v->ops->nvgetvectorid = N_VGetVectorID_OpenMP;
v->ops->nvclone = N_VClone_OpenMP;
v->ops->nvcloneempty = N_VCloneEmpty_OpenMP;
v->ops->nvdestroy = N_VDestroy_OpenMP;
v->ops->nvspace = N_VSpace_OpenMP;
v->ops->nvgetarraypointer = N_VGetArrayPointer_OpenMP;
v->ops->nvsetarraypointer = N_VSetArrayPointer_OpenMP;
v->ops->nvgetlength = N_VGetLength_OpenMP;
/* standard vector operations */
v->ops->nvlinearsum = N_VLinearSum_OpenMP;
v->ops->nvconst = N_VConst_OpenMP;
v->ops->nvprod = N_VProd_OpenMP;
v->ops->nvdiv = N_VDiv_OpenMP;
v->ops->nvscale = N_VScale_OpenMP;
v->ops->nvabs = N_VAbs_OpenMP;
v->ops->nvinv = N_VInv_OpenMP;
v->ops->nvaddconst = N_VAddConst_OpenMP;
v->ops->nvdotprod = N_VDotProd_OpenMP;
v->ops->nvmaxnorm = N_VMaxNorm_OpenMP;
v->ops->nvwrmsnormmask = N_VWrmsNormMask_OpenMP;
v->ops->nvwrmsnorm = N_VWrmsNorm_OpenMP;
v->ops->nvmin = N_VMin_OpenMP;
v->ops->nvwl2norm = N_VWL2Norm_OpenMP;
v->ops->nvl1norm = N_VL1Norm_OpenMP;
v->ops->nvcompare = N_VCompare_OpenMP;
v->ops->nvinvtest = N_VInvTest_OpenMP;
v->ops->nvconstrmask = N_VConstrMask_OpenMP;
v->ops->nvminquotient = N_VMinQuotient_OpenMP;
/* fused and vector array operations are disabled (NULL) by default */
/* local reduction kernels */
v->ops->nvdotprodlocal = N_VDotProd_OpenMP;
v->ops->nvmaxnormlocal = N_VMaxNorm_OpenMP;
v->ops->nvminlocal = N_VMin_OpenMP;
v->ops->nvl1normlocal = N_VL1Norm_OpenMP;
v->ops->nvinvtestlocal = N_VInvTest_OpenMP;
v->ops->nvconstrmasklocal = N_VConstrMask_OpenMP;
v->ops->nvminquotientlocal = N_VMinQuotient_OpenMP;
v->ops->nvwsqrsumlocal = N_VWSqrSumLocal_OpenMP;
v->ops->nvwsqrsummasklocal = N_VWSqrSumMaskLocal_OpenMP;
/* XBraid interface operations */
v->ops->nvbufsize = N_VBufSize_OpenMP;
v->ops->nvbufpack = N_VBufPack_OpenMP;
v->ops->nvbufunpack = N_VBufUnpack_OpenMP;
/* Create content */
content = NULL;
content = (N_VectorContent_OpenMP) malloc(sizeof *content);
if (content == NULL) { N_VDestroy(v); return(NULL); }
/* Attach content */
v->content = content;
/* Initialize content */
content->length = length;
content->num_threads = num_threads;
content->own_data = SUNFALSE;
content->data = NULL;
return(v);
}
/* ----------------------------------------------------------------------------
* Function to create a new vector
*/
N_Vector N_VNew_OpenMP(sunindextype length, int num_threads)
{
N_Vector v;
realtype *data;
v = NULL;
v = N_VNewEmpty_OpenMP(length, num_threads);
if (v == NULL) return(NULL);
/* Create data */
if (length > 0) {
/* Allocate memory */
data = NULL;
data = (realtype *) malloc(length * sizeof(realtype));
if(data == NULL) { N_VDestroy_OpenMP(v); return(NULL); }
/* Attach data */
NV_OWN_DATA_OMP(v) = SUNTRUE;
NV_DATA_OMP(v) = data;
}
return(v);
}
/* ----------------------------------------------------------------------------
* Function to create a vector with user data component
*/
N_Vector N_VMake_OpenMP(sunindextype length, realtype *v_data, int num_threads)
{
N_Vector v;
v = NULL;
v = N_VNewEmpty_OpenMP(length, num_threads);
if (v == NULL) return(NULL);
if (length > 0) {
/* Attach data */
NV_OWN_DATA_OMP(v) = SUNFALSE;
NV_DATA_OMP(v) = v_data;
}
return(v);
}
/* ----------------------------------------------------------------------------
* Function to create an array of new vectors.
*/
N_Vector* N_VCloneVectorArray_OpenMP(int count, N_Vector w)
{
N_Vector* vs;
int j;
if (count <= 0) return(NULL);
vs = NULL;
vs = (N_Vector*) malloc(count * sizeof(N_Vector));
if(vs == NULL) return(NULL);
for (j = 0; j < count; j++) {
vs[j] = NULL;
vs[j] = N_VClone_OpenMP(w);
if (vs[j] == NULL) {
N_VDestroyVectorArray_OpenMP(vs, j-1);
return(NULL);
}
}
return(vs);
}
/* ----------------------------------------------------------------------------
* Function to create an array of new vectors with NULL data array.
*/
N_Vector* N_VCloneVectorArrayEmpty_OpenMP(int count, N_Vector w)
{
N_Vector* vs;
int j;
if (count <= 0) return(NULL);
vs = NULL;
vs = (N_Vector*) malloc(count * sizeof(N_Vector));
if(vs == NULL) return(NULL);
for (j = 0; j < count; j++) {
vs[j] = NULL;
vs[j] = N_VCloneEmpty_OpenMP(w);
if (vs[j] == NULL) {
N_VDestroyVectorArray_OpenMP(vs, j-1);
return(NULL);
}
}
return(vs);
}
/* ----------------------------------------------------------------------------
* Function to free an array created with N_VCloneVectorArray_OpenMP
*/
void N_VDestroyVectorArray_OpenMP(N_Vector* vs, int count)
{
int j;
for (j = 0; j < count; j++) N_VDestroy_OpenMP(vs[j]);
free(vs); vs = NULL;
return;
}
/* ----------------------------------------------------------------------------
* Function to return number of vector elements
*/
sunindextype N_VGetLength_OpenMP(N_Vector v)
{
return NV_LENGTH_OMP(v);
}
/* ----------------------------------------------------------------------------
* Function to print a vector to stdout
*/
void N_VPrint_OpenMP(N_Vector x)
{
N_VPrintFile_OpenMP(x, stdout);
}
/* ----------------------------------------------------------------------------
* Function to print a vector to outfile
*/
void N_VPrintFile_OpenMP(N_Vector x, FILE *outfile)
{
sunindextype i, N;
realtype *xd;
xd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
for (i = 0; i < N; i++) {
#if defined(SUNDIALS_EXTENDED_PRECISION)
STAN_SUNDIALS_FPRINTF(outfile, "%11.8Lg\n", xd[i]);
#elif defined(SUNDIALS_DOUBLE_PRECISION)
STAN_SUNDIALS_FPRINTF(outfile, "%11.8g\n", xd[i]);
#else
STAN_SUNDIALS_FPRINTF(outfile, "%11.8g\n", xd[i]);
#endif
}
STAN_SUNDIALS_FPRINTF(outfile, "\n");
return;
}
/*
* -----------------------------------------------------------------
* implementation of vector operations
* -----------------------------------------------------------------
*/
/* ----------------------------------------------------------------------------
* Create new vector from existing vector without attaching data
*/
N_Vector N_VCloneEmpty_OpenMP(N_Vector w)
{
N_Vector v;
N_VectorContent_OpenMP content;
if (w == NULL) return(NULL);
/* Create vector */
v = NULL;
v = N_VNewEmpty();
if (v == NULL) return(NULL);
/* Attach operations */
if (N_VCopyOps(w, v)) { N_VDestroy(v); return(NULL); }
/* Create content */
content = NULL;
content = (N_VectorContent_OpenMP) malloc(sizeof *content);
if (content == NULL) { N_VDestroy(v); return(NULL); }
/* Attach content */
v->content = content;
/* Initialize content */
content->length = NV_LENGTH_OMP(w);
content->num_threads = NV_NUM_THREADS_OMP(w);
content->own_data = SUNFALSE;
content->data = NULL;
return(v);
}
/* ----------------------------------------------------------------------------
* Create new vector from existing vector and attach data
*/
N_Vector N_VClone_OpenMP(N_Vector w)
{
N_Vector v;
realtype *data;
sunindextype length;
v = NULL;
v = N_VCloneEmpty_OpenMP(w);
if (v == NULL) return(NULL);
length = NV_LENGTH_OMP(w);
/* Create data */
if (length > 0) {
/* Allocate memory */
data = NULL;
data = (realtype *) malloc(length * sizeof(realtype));
if(data == NULL) { N_VDestroy_OpenMP(v); return(NULL); }
/* Attach data */
NV_OWN_DATA_OMP(v) = SUNTRUE;
NV_DATA_OMP(v) = data;
}
return(v);
}
/* ----------------------------------------------------------------------------
* Destroy vector and free vector memory
*/
void N_VDestroy_OpenMP(N_Vector v)
{
if (v == NULL) return;
/* free content */
if (v->content != NULL) {
/* free data array if it's owned by the vector */
if (NV_OWN_DATA_OMP(v) && NV_DATA_OMP(v) != NULL) {
free(NV_DATA_OMP(v));
NV_DATA_OMP(v) = NULL;
}
free(v->content);
v->content = NULL;
}
/* free ops and vector */
if (v->ops != NULL) { free(v->ops); v->ops = NULL; }
free(v); v = NULL;
return;
}
/* ----------------------------------------------------------------------------
* Get storage requirement for N_Vector
*/
void N_VSpace_OpenMP(N_Vector v, sunindextype *lrw, sunindextype *liw)
{
*lrw = NV_LENGTH_OMP(v);
*liw = 1;
return;
}
/* ----------------------------------------------------------------------------
* Get vector data pointer
*/
realtype *N_VGetArrayPointer_OpenMP(N_Vector v)
{
return((realtype *) NV_DATA_OMP(v));
}
/* ----------------------------------------------------------------------------
* Set vector data pointer
*/
void N_VSetArrayPointer_OpenMP(realtype *v_data, N_Vector v)
{
if (NV_LENGTH_OMP(v) > 0) NV_DATA_OMP(v) = v_data;
return;
}
/* ----------------------------------------------------------------------------
* Compute linear combination z[i] = a*x[i]+b*y[i]
*/
void N_VLinearSum_OpenMP(realtype a, N_Vector x, realtype b, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype c, *xd, *yd, *zd;
N_Vector v1, v2;
booleantype test;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
if ((b == ONE) && (z == y)) { /* BLAS usage: axpy y <- ax+y */
Vaxpy_OpenMP(a,x,y);
return;
}
if ((a == ONE) && (z == x)) { /* BLAS usage: axpy x <- by+x */
Vaxpy_OpenMP(b,y,x);
return;
}
/* Case: a == b == 1.0 */
if ((a == ONE) && (b == ONE)) {
VSum_OpenMP(x, y, z);
return;
}
/* Cases: (1) a == 1.0, b = -1.0, (2) a == -1.0, b == 1.0 */
if ((test = ((a == ONE) && (b == -ONE))) || ((a == -ONE) && (b == ONE))) {
v1 = test ? y : x;
v2 = test ? x : y;
VDiff_OpenMP(v2, v1, z);
return;
}
/* Cases: (1) a == 1.0, b == other or 0.0, (2) a == other or 0.0, b == 1.0 */
/* if a or b is 0.0, then user should have called N_VScale */
if ((test = (a == ONE)) || (b == ONE)) {
c = test ? b : a;
v1 = test ? y : x;
v2 = test ? x : y;
VLin1_OpenMP(c, v1, v2, z);
return;
}
/* Cases: (1) a == -1.0, b != 1.0, (2) a != 1.0, b == -1.0 */
if ((test = (a == -ONE)) || (b == -ONE)) {
c = test ? b : a;
v1 = test ? y : x;
v2 = test ? x : y;
VLin2_OpenMP(c, v1, v2, z);
return;
}
/* Case: a == b */
/* catches case both a and b are 0.0 - user should have called N_VConst */
if (a == b) {
VScaleSum_OpenMP(a, x, y, z);
return;
}
/* Case: a == -b */
if (a == -b) {
VScaleDiff_OpenMP(a, x, y, z);
return;
}
/* Do all cases not handled above:
(1) a == other, b == 0.0 - user should have called N_VScale
(2) a == 0.0, b == other - user should have called N_VScale
(3) a,b == other, a !=b, a != -b */
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,a,b,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = (a*xd[i])+(b*yd[i]);
return;
}
/* ----------------------------------------------------------------------------
* Assigns constant value to all vector elements, z[i] = c
*/
void N_VConst_OpenMP(realtype c, N_Vector z)
{
sunindextype i, N;
realtype *zd;
i = 0; /* initialize to suppress clang warning */
zd = NULL;
N = NV_LENGTH_OMP(z);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,c,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(z))
for (i = 0; i < N; i++) zd[i] = c;
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise product z[i] = x[i]*y[i]
*/
void N_VProd_OpenMP(N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd, *yd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = xd[i]*yd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise division z[i] = x[i]/y[i]
*/
void N_VDiv_OpenMP(N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd, *yd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = xd[i]/yd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute scaler multiplication z[i] = c*x[i]
*/
void N_VScale_OpenMP(realtype c, N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = zd = NULL;
if (z == x) { /* BLAS usage: scale x <- cx */
VScaleBy_OpenMP(c, x);
return;
}
if (c == ONE) {
VCopy_OpenMP(x, z);
} else if (c == -ONE) {
VNeg_OpenMP(x, z);
} else {
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,c,xd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = c*xd[i];
}
return;
}
/* ----------------------------------------------------------------------------
* Compute absolute value of vector components z[i] = SUNRabs(x[i])
*/
void N_VAbs_OpenMP(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
zd = NV_DATA_OMP(z);
#pragma omp parallel for schedule(static) num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = SUNRabs(xd[i]);
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise inverse z[i] = 1 / x[i]
*/
void N_VInv_OpenMP(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,xd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = ONE/xd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise addition of a scaler to a vector z[i] = x[i] + b
*/
void N_VAddConst_OpenMP(N_Vector x, realtype b, N_Vector z)
{
sunindextype i, N;
realtype *xd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,b,xd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = xd[i]+b;
return;
}
/* ----------------------------------------------------------------------------
* Computes the dot product of two vectors, a = sum(x[i]*y[i])
*/
realtype N_VDotProd_OpenMP(N_Vector x, N_Vector y)
{
sunindextype i, N;
realtype sum, *xd, *yd;
i = 0; /* initialize to suppress clang warning */
sum = ZERO;
xd = yd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
#pragma omp parallel for default(none) private(i) shared(N,xd,yd) \
reduction(+:sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++) {
sum += xd[i]*yd[i];
}
return(sum);
}
/* ----------------------------------------------------------------------------
* Computes max norm of a vector
*/
realtype N_VMaxNorm_OpenMP(N_Vector x)
{
sunindextype i, N;
realtype tmax, max, *xd;
i = 0; /* initialize to suppress clang warning */
max = ZERO;
xd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
#pragma omp parallel default(none) private(i,tmax) shared(N,max,xd) \
num_threads(NV_NUM_THREADS_OMP(x))
{
tmax = ZERO;
#pragma omp for schedule(static)
for (i = 0; i < N; i++) {
if (SUNRabs(xd[i]) > tmax) tmax = SUNRabs(xd[i]);
}
#pragma omp critical
{
if (tmax > max)
max = tmax;
}
}
return(max);
}
/* ----------------------------------------------------------------------------
* Computes weighted root mean square norm of a vector
*/
realtype N_VWrmsNorm_OpenMP(N_Vector x, N_Vector w)
{
return(SUNRsqrt(N_VWSqrSumLocal_OpenMP(x, w)/(NV_LENGTH_OMP(x))));
}
/* ----------------------------------------------------------------------------
* Computes weighted root mean square norm of a masked vector
*/
realtype N_VWrmsNormMask_OpenMP(N_Vector x, N_Vector w, N_Vector id)
{
return(SUNRsqrt(N_VWSqrSumMaskLocal_OpenMP(x, w, id)/(NV_LENGTH_OMP(x))));
}
/* ----------------------------------------------------------------------------
* Finds the minimun component of a vector
*/
realtype N_VMin_OpenMP(N_Vector x)
{
sunindextype i, N;
realtype min, *xd;
realtype tmin;
i = 0; /* initialize to suppress clang warning */
xd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
min = xd[0];
#pragma omp parallel default(none) private(i,tmin) shared(N,min,xd) \
num_threads(NV_NUM_THREADS_OMP(x))
{
tmin = xd[0];
#pragma omp for schedule(static)
for (i = 1; i < N; i++) {
if (xd[i] < tmin) tmin = xd[i];
}
if (tmin < min) {
#pragma omp critical
{
if (tmin < min) min = tmin;
}
}
}
return(min);
}
/* ----------------------------------------------------------------------------
* Computes weighted L2 norm of a vector
*/
realtype N_VWL2Norm_OpenMP(N_Vector x, N_Vector w)
{
sunindextype i, N;
realtype sum, *xd, *wd;
i = 0; /* initialize to suppress clang warning */
sum = ZERO;
xd = wd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
wd = NV_DATA_OMP(w);
#pragma omp parallel for default(none) private(i) shared(N,xd,wd) \
reduction(+:sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++) {
sum += SUNSQR(xd[i]*wd[i]);
}
return(SUNRsqrt(sum));
}
/* ----------------------------------------------------------------------------
* Computes L1 norm of a vector
*/
realtype N_VL1Norm_OpenMP(N_Vector x)
{
sunindextype i, N;
realtype sum, *xd;
i = 0; /* initialize to suppress clang warning */
sum = ZERO;
xd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
#pragma omp parallel for default(none) private(i) shared(N,xd) \
reduction(+:sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i<N; i++)
sum += SUNRabs(xd[i]);
return(sum);
}
/* ----------------------------------------------------------------------------
* Compare vector component values to a scaler
*/
void N_VCompare_OpenMP(realtype c, N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,c,xd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++) {
zd[i] = (SUNRabs(xd[i]) >= c) ? ONE : ZERO;
}
return;
}
/* ----------------------------------------------------------------------------
* Compute componentwise inverse z[i] = ONE/x[i] and checks if x[i] == ZERO
*/
booleantype N_VInvTest_OpenMP(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd, *zd, val;
i = 0; /* initialize to suppress clang warning */
xd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
zd = NV_DATA_OMP(z);
val = ZERO;
#pragma omp parallel for default(none) private(i) shared(N,val,xd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++) {
if (xd[i] == ZERO)
val = ONE;
else
zd[i] = ONE/xd[i];
}
if (val > ZERO)
return (SUNFALSE);
else
return (SUNTRUE);
}
/* ----------------------------------------------------------------------------
* Compute constraint mask of a vector
*/
booleantype N_VConstrMask_OpenMP(N_Vector c, N_Vector x, N_Vector m)
{
sunindextype i, N;
realtype temp;
realtype *cd, *xd, *md;
booleantype test;
i = 0; /* initialize to suppress clang warning */
cd = xd = md = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
cd = NV_DATA_OMP(c);
md = NV_DATA_OMP(m);
temp = ZERO;
#pragma omp parallel for default(none) private(i,test) shared(N,xd,cd,md,temp) \
schedule(static) num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++) {
md[i] = ZERO;
/* Continue if no constraints were set for the variable */
if (cd[i] == ZERO)
continue;
/* Check if a set constraint has been violated */
test = (SUNRabs(cd[i]) > ONEPT5 && xd[i]*cd[i] <= ZERO) ||
(SUNRabs(cd[i]) > HALF && xd[i]*cd[i] < ZERO);
if (test) {
temp = md[i] = ONE; /* Here is a race to write to temp */
}
}
/* Return false if any constraint was violated */
return (temp == ONE) ? SUNFALSE : SUNTRUE;
}
/* ----------------------------------------------------------------------------
* Compute minimum componentwise quotient
*/
realtype N_VMinQuotient_OpenMP(N_Vector num, N_Vector denom)
{
sunindextype i, N;
realtype *nd, *dd, min, tmin, val;
i = 0; /* initialize to suppress clang warning */
nd = dd = NULL;
N = NV_LENGTH_OMP(num);
nd = NV_DATA_OMP(num);
dd = NV_DATA_OMP(denom);
min = BIG_REAL;
#pragma omp parallel default(none) private(i,tmin,val) shared(N,min,nd,dd) \
num_threads(NV_NUM_THREADS_OMP(num))
{
tmin = BIG_REAL;
#pragma omp for schedule(static)
for (i = 0; i < N; i++) {
if (dd[i] != ZERO) {
val = nd[i]/dd[i];
if (val < tmin) tmin = val;
}
}
if (tmin < min) {
#pragma omp critical
{
if (tmin < min) min = tmin;
}
}
}
return(min);
}
/* ----------------------------------------------------------------------------
* Computes weighted square sum of a vector
*/
realtype N_VWSqrSumLocal_OpenMP(N_Vector x, N_Vector w)
{
sunindextype i, N;
realtype sum, *xd, *wd;
i = 0; /* initialize to suppress clang warning */
sum = ZERO;
xd = wd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
wd = NV_DATA_OMP(w);
#pragma omp parallel for default(none) private(i) shared(N,xd,wd) \
reduction(+:sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++) {
sum += SUNSQR(xd[i]*wd[i]);
}
return(sum);
}
/* ----------------------------------------------------------------------------
* Computes weighted square sum of a masked vector
*/
realtype N_VWSqrSumMaskLocal_OpenMP(N_Vector x, N_Vector w, N_Vector id)
{
sunindextype i, N;
realtype sum, *xd, *wd, *idd;
i = 0; /* initialize to suppress clang warning */
sum = ZERO;
xd = wd = idd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
wd = NV_DATA_OMP(w);
idd = NV_DATA_OMP(id);
#pragma omp parallel for default(none) private(i) shared(N,xd,wd,idd) \
reduction(+:sum) schedule(static) num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++) {
if (idd[i] > ZERO) {
sum += SUNSQR(xd[i]*wd[i]);
}
}
return(sum);
}
/*
* -----------------------------------------------------------------
* fused vector operations
* -----------------------------------------------------------------
*/
int N_VLinearCombination_OpenMP(int nvec, realtype* c, N_Vector* X, N_Vector z)
{
int i;
sunindextype j, N;
realtype* zd=NULL;
realtype* xd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VScale */
if (nvec == 1) {
N_VScale_OpenMP(c[0], X[0], z);
return(0);
}
/* should have called N_VLinearSum */
if (nvec == 2) {
N_VLinearSum_OpenMP(c[0], X[0], c[1], X[1], z);
return(0);
}
/* get vector length and data array */
N = NV_LENGTH_OMP(z);
zd = NV_DATA_OMP(z);
/*
* X[0] += c[i]*X[i], i = 1,...,nvec-1
*/
if ((X[0] == z) && (c[0] == ONE)) {
#pragma omp parallel default(none) private(i,j,xd) shared(nvec,X,N,c,zd) \
num_threads(NV_NUM_THREADS_OMP(z))
{
for (i=1; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] += c[i] * xd[j];
}
}
}
return(0);
}
/*
* X[0] = c[0] * X[0] + sum{ c[i] * X[i] }, i = 1,...,nvec-1
*/
if (X[0] == z) {
#pragma omp parallel default(none) private(i,j,xd) shared(nvec,X,N,c,zd) \
num_threads(NV_NUM_THREADS_OMP(z))
{
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] *= c[0];
}
for (i=1; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] += c[i] * xd[j];
}
}
}
return(0);
}
/*
* z = sum{ c[i] * X[i] }, i = 0,...,nvec-1
*/
#pragma omp parallel default(none) private(i,j,xd) shared(nvec,X,N,c,zd) \
num_threads(NV_NUM_THREADS_OMP(z))
{
xd = NV_DATA_OMP(X[0]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] = c[0] * xd[j];
}
for (i=1; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] += c[i] * xd[j];
}
}
}
return(0);
}
int N_VScaleAddMulti_OpenMP(int nvec, realtype* a, N_Vector x, N_Vector* Y, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VLinearSum */
if (nvec == 1) {
N_VLinearSum_OpenMP(a[0], x, ONE, Y[0], Z[0]);
return(0);
}
/* get vector length and data array */
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
/*
* Y[i][j] += a[i] * x[j]
*/
if (Y == Z) {
#pragma omp parallel default(none) private(i,j,yd) shared(nvec,Y,N,a,xd) \
num_threads(NV_NUM_THREADS_OMP(x))
{
for (i=0; i<nvec; i++) {
yd = NV_DATA_OMP(Y[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
yd[j] += a[i] * xd[j];
}
}
}
return(0);
}
/*
* Z[i][j] = Y[i][j] + a[i] * x[j]
*/
#pragma omp parallel default(none) private(i,j,yd,zd) shared(nvec,Y,Z,N,a,xd) \
num_threads(NV_NUM_THREADS_OMP(x))
{
for (i=0; i<nvec; i++) {
yd = NV_DATA_OMP(Y[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] = a[i] * xd[j] + yd[j];
}
}
}
return(0);
}
int N_VDotProdMulti_OpenMP(int nvec, N_Vector x, N_Vector* Y, realtype* dotprods)
{
int i;
sunindextype j, N;
realtype sum;
realtype* xd=NULL;
realtype* yd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VDotProd */
if (nvec == 1) {
dotprods[0] = N_VDotProd_OpenMP(x, Y[0]);
return(0);
}
/* get vector length and data array */
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
/* initialize dot products */
for (i=0; i<nvec; i++) {
dotprods[i] = ZERO;
}
/* compute multiple dot products */
#pragma omp parallel default(none) private(i,j,yd,sum) shared(nvec,Y,N,xd,dotprods) \
num_threads(NV_NUM_THREADS_OMP(x))
{
for (i=0; i<nvec; i++) {
yd = NV_DATA_OMP(Y[i]);
sum = ZERO;
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
sum += xd[j] * yd[j];
}
#pragma omp critical
{
dotprods[i] += sum;
}
}
}
return(0);
}
/*
* -----------------------------------------------------------------
* vector array operations
* -----------------------------------------------------------------
*/
int N_VLinearSumVectorArray_OpenMP(int nvec,
realtype a, N_Vector* X,
realtype b, N_Vector* Y,
N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
realtype c;
N_Vector* V1;
N_Vector* V2;
booleantype test;
i = 0; /* initialize to suppress clang warning */
j = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VLinearSum */
if (nvec == 1) {
N_VLinearSum_OpenMP(a, X[0], b, Y[0], Z[0]);
return(0);
}
/* BLAS usage: axpy y <- ax+y */
if ((b == ONE) && (Z == Y))
return(VaxpyVectorArray_OpenMP(nvec, a, X, Y));
/* BLAS usage: axpy x <- by+x */
if ((a == ONE) && (Z == X))
return(VaxpyVectorArray_OpenMP(nvec, b, Y, X));
/* Case: a == b == 1.0 */
if ((a == ONE) && (b == ONE))
return(VSumVectorArray_OpenMP(nvec, X, Y, Z));
/* Cases: */
/* (1) a == 1.0, b = -1.0, */
/* (2) a == -1.0, b == 1.0 */
if ((test = ((a == ONE) && (b == -ONE))) || ((a == -ONE) && (b == ONE))) {
V1 = test ? Y : X;
V2 = test ? X : Y;
return(VDiffVectorArray_OpenMP(nvec, V2, V1, Z));
}
/* Cases: */
/* (1) a == 1.0, b == other or 0.0, */
/* (2) a == other or 0.0, b == 1.0 */
/* if a or b is 0.0, then user should have called N_VScale */
if ((test = (a == ONE)) || (b == ONE)) {
c = test ? b : a;
V1 = test ? Y : X;
V2 = test ? X : Y;
return(VLin1VectorArray_OpenMP(nvec, c, V1, V2, Z));
}
/* Cases: */
/* (1) a == -1.0, b != 1.0, */
/* (2) a != 1.0, b == -1.0 */
if ((test = (a == -ONE)) || (b == -ONE)) {
c = test ? b : a;
V1 = test ? Y : X;
V2 = test ? X : Y;
return(VLin2VectorArray_OpenMP(nvec, c, V1, V2, Z));
}
/* Case: a == b */
/* catches case both a and b are 0.0 - user should have called N_VConst */
if (a == b)
return(VScaleSumVectorArray_OpenMP(nvec, a, X, Y, Z));
/* Case: a == -b */
if (a == -b)
return(VScaleDiffVectorArray_OpenMP(nvec, a, X, Y, Z));
/* Do all cases not handled above: */
/* (1) a == other, b == 0.0 - user should have called N_VScale */
/* (2) a == 0.0, b == other - user should have called N_VScale */
/* (3) a,b == other, a !=b, a != -b */
/* get vector length */
N = NV_LENGTH_OMP(Z[0]);
/* compute linear sum for each vector pair in vector arrays */
#pragma omp parallel default(none) private(i,j,xd,yd,zd) shared(nvec,X,Y,Z,N,a,b) \
num_threads(NV_NUM_THREADS_OMP(Z[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] = a * xd[j] + b * yd[j];
}
}
}
return(0);
}
int N_VScaleVectorArray_OpenMP(int nvec, realtype* c, N_Vector* X, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VScale */
if (nvec == 1) {
N_VScale_OpenMP(c[0], X[0], Z[0]);
return(0);
}
/* get vector length */
N = NV_LENGTH_OMP(Z[0]);
/*
* X[i] *= c[i]
*/
if (X == Z) {
#pragma omp parallel default(none) private(i,j,xd) shared(nvec,X,N,c) \
num_threads(NV_NUM_THREADS_OMP(Z[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
xd[j] *= c[i];
}
}
}
return(0);
}
/*
* Z[i] = c[i] * X[i]
*/
#pragma omp parallel default(none) private(i,j,xd,zd) shared(nvec,X,Z,N,c) \
num_threads(NV_NUM_THREADS_OMP(Z[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] = c[i] * xd[j];
}
}
}
return(0);
}
int N_VConstVectorArray_OpenMP(int nvec, realtype c, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VConst */
if (nvec == 1) {
N_VConst_OpenMP(c, Z[0]);
return(0);
}
/* get vector length */
N = NV_LENGTH_OMP(Z[0]);
/* set each vector in the vector array to a constant */
#pragma omp parallel default(none) private(i,j,zd) shared(nvec,Z,N,c) \
num_threads(NV_NUM_THREADS_OMP(Z[0]))
{
for (i=0; i<nvec; i++) {
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
zd[j] = c;
}
}
}
return(0);
}
int N_VWrmsNormVectorArray_OpenMP(int nvec, N_Vector* X, N_Vector* W, realtype* nrm)
{
int i;
sunindextype j, N;
realtype sum;
realtype* wd=NULL;
realtype* xd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VWrmsNorm */
if (nvec == 1) {
nrm[0] = N_VWrmsNorm_OpenMP(X[0], W[0]);
return(0);
}
/* get vector length */
N = NV_LENGTH_OMP(X[0]);
/* initialize norms */
for (i=0; i<nvec; i++) {
nrm[i] = ZERO;
}
/* compute the WRMS norm for each vector in the vector array */
#pragma omp parallel default(none) private(i,j,xd,wd,sum) shared(nvec,X,W,N,nrm) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
wd = NV_DATA_OMP(W[i]);
sum = ZERO;
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
sum += SUNSQR(xd[j] * wd[j]);
}
#pragma omp critical
{
nrm[i] += sum;
}
}
}
for (i=0; i<nvec; i++) {
nrm[i] = SUNRsqrt(nrm[i]/N);
}
return(0);
}
int N_VWrmsNormMaskVectorArray_OpenMP(int nvec, N_Vector* X, N_Vector* W,
N_Vector id, realtype* nrm)
{
int i;
sunindextype j, N;
realtype sum;
realtype* wd=NULL;
realtype* xd=NULL;
realtype* idd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
/* should have called N_VWrmsNorm */
if (nvec == 1) {
nrm[0] = N_VWrmsNormMask_OpenMP(X[0], W[0], id);
return(0);
}
/* get vector length and mask data array */
N = NV_LENGTH_OMP(X[0]);
idd = NV_DATA_OMP(id);
/* initialize norms */
for (i=0; i<nvec; i++) {
nrm[i] = ZERO;
}
/* compute the WRMS norm for each vector in the vector array */
#pragma omp parallel default(none) private(i,j,xd,wd,sum) shared(nvec,X,W,N,idd,nrm) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
wd = NV_DATA_OMP(W[i]);
sum = ZERO;
#pragma omp for schedule(static)
for (j=0; j<N; j++) {
if (idd[j] > ZERO)
sum += SUNSQR(xd[j] * wd[j]);
}
#pragma omp critical
{
nrm[i] += sum;
}
}
}
for (i=0; i<nvec; i++) {
nrm[i] = SUNRsqrt(nrm[i]/N);
}
return(0);
}
int N_VScaleAddMultiVectorArray_OpenMP(int nvec, int nsum, realtype* a,
N_Vector* X, N_Vector** Y, N_Vector** Z)
{
int i, j;
sunindextype k, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
int retval;
N_Vector* YY;
N_Vector* ZZ;
i = 0; /* initialize to suppress clang warning */
k = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
if (nsum < 1) return(-1);
/* ---------------------------
* Special cases for nvec == 1
* --------------------------- */
if (nvec == 1) {
/* should have called N_VLinearSum */
if (nsum == 1) {
N_VLinearSum_OpenMP(a[0], X[0], ONE, Y[0][0], Z[0][0]);
return(0);
}
/* should have called N_VScaleAddMulti */
YY = (N_Vector*) malloc(nsum * sizeof(N_Vector));
ZZ = (N_Vector*) malloc(nsum * sizeof(N_Vector));
for (j=0; j<nsum; j++) {
YY[j] = Y[j][0];
ZZ[j] = Z[j][0];
}
retval = N_VScaleAddMulti_OpenMP(nsum, a, X[0], YY, ZZ);
free(YY);
free(ZZ);
return(retval);
}
/* --------------------------
* Special cases for nvec > 1
* -------------------------- */
/* should have called N_VLinearSumVectorArray */
if (nsum == 1) {
retval = N_VLinearSumVectorArray_OpenMP(nvec, a[0], X, ONE, Y[0], Z[0]);
return(retval);
}
/* ----------------------------
* Compute multiple linear sums
* ---------------------------- */
/* get vector length */
N = NV_LENGTH_OMP(X[0]);
/*
* Y[i][j] += a[i] * x[j]
*/
if (Y == Z) {
#pragma omp parallel default(none) private(i,j,k,xd,yd) shared(nvec,nsum,X,Y,N,a) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
for (j=0; j<nsum; j++) {
yd = NV_DATA_OMP(Y[j][i]);
#pragma omp for schedule(static)
for (k=0; k<N; k++) {
yd[k] += a[j] * xd[k];
}
}
}
}
return(0);
}
/*
* Z[i][j] = Y[i][j] + a[i] * x[j]
*/
#pragma omp parallel default(none) private(i,j,k,xd,yd,zd) shared(nvec,nsum,X,Y,Z,N,a) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
for (j=0; j<nsum; j++) {
yd = NV_DATA_OMP(Y[j][i]);
zd = NV_DATA_OMP(Z[j][i]);
#pragma omp for schedule(static)
for (k=0; k<N; k++) {
zd[k] = a[j] * xd[k] + yd[k];
}
}
}
}
return(0);
}
int N_VLinearCombinationVectorArray_OpenMP(int nvec, int nsum,
realtype* c,
N_Vector** X,
N_Vector* Z)
{
int i; /* vector arrays index in summation [0,nsum) */
int j; /* vector index in vector array [0,nvec) */
sunindextype k; /* element index in vector [0,N) */
sunindextype N;
realtype* zd=NULL;
realtype* xd=NULL;
realtype* ctmp;
N_Vector* Y;
i = 0; /* initialize to suppress clang warning */
k = 0;
/* invalid number of vectors */
if (nvec < 1) return(-1);
if (nsum < 1) return(-1);
/* ---------------------------
* Special cases for nvec == 1
* --------------------------- */
if (nvec == 1) {
/* should have called N_VScale */
if (nsum == 1) {
N_VScale_OpenMP(c[0], X[0][0], Z[0]);
return(0);
}
/* should have called N_VLinearSum */
if (nsum == 2) {
N_VLinearSum_OpenMP(c[0], X[0][0], c[1], X[1][0], Z[0]);
return(0);
}
/* should have called N_VLinearCombination */
Y = (N_Vector*) malloc(nsum * sizeof(N_Vector));
for (i=0; i<nsum; i++) {
Y[i] = X[i][0];
}
N_VLinearCombination_OpenMP(nsum, c, Y, Z[0]);
free(Y);
return(0);
}
/* --------------------------
* Special cases for nvec > 1
* -------------------------- */
/* should have called N_VScaleVectorArray */
if (nsum == 1) {
ctmp = (realtype*) malloc(nvec * sizeof(realtype));
for (j=0; j<nvec; j++) {
ctmp[j] = c[0];
}
N_VScaleVectorArray_OpenMP(nvec, ctmp, X[0], Z);
free(ctmp);
return(0);
}
/* should have called N_VLinearSumVectorArray */
if (nsum == 2) {
N_VLinearSumVectorArray_OpenMP(nvec, c[0], X[0], c[1], X[1], Z);
return(0);
}
/* --------------------------
* Compute linear combination
* -------------------------- */
/* get vector length */
N = NV_LENGTH_OMP(Z[0]);
/*
* X[0][j] += c[i]*X[i][j], i = 1,...,nvec-1
*/
if ((X[0] == Z) && (c[0] == ONE)) {
#pragma omp parallel default(none) private(i,j,k,xd,zd) shared(nvec,nsum,X,Z,N,c) \
num_threads(NV_NUM_THREADS_OMP(Z[0]))
{
for (j=0; j<nvec; j++) {
zd = NV_DATA_OMP(Z[j]);
for (i=1; i<nsum; i++) {
xd = NV_DATA_OMP(X[i][j]);
#pragma omp for schedule(static)
for (k=0; k<N; k++) {
zd[k] += c[i] * xd[k];
}
}
}
}
return(0);
}
/*
* X[0][j] = c[0] * X[0][j] + sum{ c[i] * X[i][j] }, i = 1,...,nvec-1
*/
if (X[0] == Z) {
#pragma omp parallel default(none) private(i,j,k,xd,zd) shared(nvec,nsum,X,Z,N,c) \
num_threads(NV_NUM_THREADS_OMP(Z[0]))
{
for (j=0; j<nvec; j++) {
zd = NV_DATA_OMP(Z[j]);
#pragma omp for schedule(static)
for (k=0; k<N; k++) {
zd[k] *= c[0];
}
for (i=1; i<nsum; i++) {
xd = NV_DATA_OMP(X[i][j]);
#pragma omp for schedule(static)
for (k=0; k<N; k++) {
zd[k] += c[i] * xd[k];
}
}
}
}
return(0);
}
/*
* Z[j] = sum{ c[i] * X[i][j] }, i = 0,...,nvec-1
*/
#pragma omp parallel default(none) private(i,j,k,xd,zd) shared(nvec,nsum,X,Z,N,c) \
num_threads(NV_NUM_THREADS_OMP(Z[0]))
{
for (j=0; j<nvec; j++) {
/* scale first vector in the sum into the output vector */
xd = NV_DATA_OMP(X[0][j]);
zd = NV_DATA_OMP(Z[j]);
#pragma omp for schedule(static)
for (k=0; k<N; k++) {
zd[k] = c[0] * xd[k];
}
/* scale and sum remaining vectors into the output vector */
for (i=1; i<nsum; i++) {
xd = NV_DATA_OMP(X[i][j]);
#pragma omp for schedule(static)
for (k=0; k<N; k++) {
zd[k] += c[i] * xd[k];
}
}
}
}
return(0);
}
/*
* -----------------------------------------------------------------
* OPTIONAL XBraid interface operations
* -----------------------------------------------------------------
*/
int N_VBufSize_OpenMP(N_Vector x, sunindextype *size)
{
if (x == NULL) return(-1);
*size = NV_LENGTH_OMP(x) * ((sunindextype)sizeof(realtype));
return(0);
}
int N_VBufPack_OpenMP(N_Vector x, void *buf)
{
sunindextype i, N;
realtype *xd = NULL;
realtype *bd = NULL;
if (x == NULL || buf == NULL) return(-1);
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
bd = (realtype*) buf;
#pragma omp for schedule(static)
for (i = 0; i < N; i++)
bd[i] = xd[i];
return(0);
}
int N_VBufUnpack_OpenMP(N_Vector x, void *buf)
{
sunindextype i, N;
realtype *xd = NULL;
realtype *bd = NULL;
if (x == NULL || buf == NULL) return(-1);
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
bd = (realtype*) buf;
#pragma omp for schedule(static)
for (i = 0; i < N; i++)
xd[i] = bd[i];
return(0);
}
/*
* -----------------------------------------------------------------
* private functions for special cases of vector operations
* -----------------------------------------------------------------
*/
/* ----------------------------------------------------------------------------
* Copy vector components into a second vector
*/
static void VCopy_OpenMP(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,xd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = xd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute vector sum
*/
static void VSum_OpenMP(N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd, *yd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = xd[i]+yd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute vector difference
*/
static void VDiff_OpenMP(N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd, *yd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = xd[i]-yd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute the negative of a vector
*/
static void VNeg_OpenMP(N_Vector x, N_Vector z)
{
sunindextype i, N;
realtype *xd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,xd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = -xd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute scaled vector sum
*/
static void VScaleSum_OpenMP(realtype c, N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd, *yd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,c,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = c*(xd[i]+yd[i]);
return;
}
/* ----------------------------------------------------------------------------
* Compute scaled vector difference
*/
static void VScaleDiff_OpenMP(realtype c, N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd, *yd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,c,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = c*(xd[i]-yd[i]);
return;
}
/* ----------------------------------------------------------------------------
* Compute vector sum z[i] = a*x[i]+y[i]
*/
static void VLin1_OpenMP(realtype a, N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd, *yd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,a,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = (a*xd[i])+yd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute vector difference z[i] = a*x[i]-y[i]
*/
static void VLin2_OpenMP(realtype a, N_Vector x, N_Vector y, N_Vector z)
{
sunindextype i, N;
realtype *xd, *yd, *zd;
i = 0; /* initialize to suppress clang warning */
xd = yd = zd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
zd = NV_DATA_OMP(z);
#pragma omp parallel for default(none) private(i) shared(N,a,xd,yd,zd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
zd[i] = (a*xd[i])-yd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute special cases of linear sum
*/
static void Vaxpy_OpenMP(realtype a, N_Vector x, N_Vector y)
{
sunindextype i, N;
realtype *xd, *yd;
i = 0; /* initialize to suppress clang warning */
xd = yd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
yd = NV_DATA_OMP(y);
if (a == ONE) {
#pragma omp parallel for default(none) private(i) shared(N,xd,yd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
yd[i] += xd[i];
return;
}
if (a == -ONE) {
#pragma omp parallel for default(none) private(i) shared(N,xd,yd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
yd[i] -= xd[i];
return;
}
#pragma omp parallel for default(none) private(i) shared(N,a,xd,yd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
yd[i] += a*xd[i];
return;
}
/* ----------------------------------------------------------------------------
* Compute scaled vector x[i] = a*x[i]
*/
static void VScaleBy_OpenMP(realtype a, N_Vector x)
{
sunindextype i, N;
realtype *xd;
i = 0; /* initialize to suppress clang warning */
xd = NULL;
N = NV_LENGTH_OMP(x);
xd = NV_DATA_OMP(x);
#pragma omp parallel for default(none) private(i) shared(N,a,xd) schedule(static) \
num_threads(NV_NUM_THREADS_OMP(x))
for (i = 0; i < N; i++)
xd[i] *= a;
return;
}
/*
* -----------------------------------------------------------------
* private functions for special cases of vector array operations
* -----------------------------------------------------------------
*/
static int VSumVectorArray_OpenMP(int nvec, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
N = NV_LENGTH_OMP(X[0]);
#pragma omp parallel default(none) private(i,j,xd,yd,zd) shared(nvec,X,Y,Z,N) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
zd[j] = xd[j] + yd[j];
}
}
return(0);
}
static int VDiffVectorArray_OpenMP(int nvec, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
N = NV_LENGTH_OMP(X[0]);
#pragma omp parallel default(none) private(i,j,xd,yd,zd) shared(nvec,X,Y,Z,N) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
zd[j] = xd[j] - yd[j];
}
}
return(0);
}
static int VScaleSumVectorArray_OpenMP(int nvec, realtype c, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
N = NV_LENGTH_OMP(X[0]);
#pragma omp parallel default(none) private(i,j,xd,yd,zd) shared(nvec,X,Y,Z,N,c) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
zd[j] = c * (xd[j] + yd[j]);
}
}
return(0);
}
static int VScaleDiffVectorArray_OpenMP(int nvec, realtype c, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
N = NV_LENGTH_OMP(X[0]);
#pragma omp parallel default(none) private(i,j,xd,yd,zd) shared(nvec,X,Y,Z,N,c) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
zd[j] = c * (xd[j] - yd[j]);
}
}
return(0);
}
static int VLin1VectorArray_OpenMP(int nvec, realtype a, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
N = NV_LENGTH_OMP(X[0]);
#pragma omp parallel default(none) private(i,j,xd,yd,zd) shared(nvec,X,Y,Z,N,a) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
zd[j] = (a * xd[j]) + yd[j];
}
}
return(0);
}
static int VLin2VectorArray_OpenMP(int nvec, realtype a, N_Vector* X, N_Vector* Y, N_Vector* Z)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
realtype* zd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
N = NV_LENGTH_OMP(X[0]);
#pragma omp parallel default(none) private(i,j,xd,yd,zd) shared(nvec,X,Y,Z,N,a) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
zd = NV_DATA_OMP(Z[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
zd[j] = (a * xd[j]) - yd[j];
}
}
return(0);
}
static int VaxpyVectorArray_OpenMP(int nvec, realtype a, N_Vector* X, N_Vector* Y)
{
int i;
sunindextype j, N;
realtype* xd=NULL;
realtype* yd=NULL;
i = 0; /* initialize to suppress clang warning */
j = 0;
N = NV_LENGTH_OMP(X[0]);
if (a == ONE) {
#pragma omp parallel default(none) private(i,j,xd,yd) shared(nvec,X,Y,N,a) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
yd[j] += xd[j];
}
}
return(0);
}
if (a == -ONE) {
#pragma omp parallel default(none) private(i,j,xd,yd) shared(nvec,X,Y,N,a) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
yd[j] -= xd[j];
}
}
return(0);
}
#pragma omp parallel default(none) private(i,j,xd,yd) shared(nvec,X,Y,N,a) \
num_threads(NV_NUM_THREADS_OMP(X[0]))
{
for (i=0; i<nvec; i++) {
xd = NV_DATA_OMP(X[i]);
yd = NV_DATA_OMP(Y[i]);
#pragma omp for schedule(static)
for (j=0; j<N; j++)
yd[j] += a * xd[j];
}
}
return(0);
}
/*
* -----------------------------------------------------------------
* Enable / Disable fused and vector array operations
* -----------------------------------------------------------------
*/
int N_VEnableFusedOps_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
if (tf) {
/* enable all fused vector operations */
v->ops->nvlinearcombination = N_VLinearCombination_OpenMP;
v->ops->nvscaleaddmulti = N_VScaleAddMulti_OpenMP;
v->ops->nvdotprodmulti = N_VDotProdMulti_OpenMP;
/* enable all vector array operations */
v->ops->nvlinearsumvectorarray = N_VLinearSumVectorArray_OpenMP;
v->ops->nvscalevectorarray = N_VScaleVectorArray_OpenMP;
v->ops->nvconstvectorarray = N_VConstVectorArray_OpenMP;
v->ops->nvwrmsnormvectorarray = N_VWrmsNormVectorArray_OpenMP;
v->ops->nvwrmsnormmaskvectorarray = N_VWrmsNormMaskVectorArray_OpenMP;
v->ops->nvscaleaddmultivectorarray = N_VScaleAddMultiVectorArray_OpenMP;
v->ops->nvlinearcombinationvectorarray = N_VLinearCombinationVectorArray_OpenMP;
} else {
/* disable all fused vector operations */
v->ops->nvlinearcombination = NULL;
v->ops->nvscaleaddmulti = NULL;
v->ops->nvdotprodmulti = NULL;
/* disable all vector array operations */
v->ops->nvlinearsumvectorarray = NULL;
v->ops->nvscalevectorarray = NULL;
v->ops->nvconstvectorarray = NULL;
v->ops->nvwrmsnormvectorarray = NULL;
v->ops->nvwrmsnormmaskvectorarray = NULL;
v->ops->nvscaleaddmultivectorarray = NULL;
v->ops->nvlinearcombinationvectorarray = NULL;
}
/* return success */
return(0);
}
int N_VEnableLinearCombination_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvlinearcombination = N_VLinearCombination_OpenMP;
else
v->ops->nvlinearcombination = NULL;
/* return success */
return(0);
}
int N_VEnableScaleAddMulti_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvscaleaddmulti = N_VScaleAddMulti_OpenMP;
else
v->ops->nvscaleaddmulti = NULL;
/* return success */
return(0);
}
int N_VEnableDotProdMulti_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvdotprodmulti = N_VDotProdMulti_OpenMP;
else
v->ops->nvdotprodmulti = NULL;
/* return success */
return(0);
}
int N_VEnableLinearSumVectorArray_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvlinearsumvectorarray = N_VLinearSumVectorArray_OpenMP;
else
v->ops->nvlinearsumvectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableScaleVectorArray_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvscalevectorarray = N_VScaleVectorArray_OpenMP;
else
v->ops->nvscalevectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableConstVectorArray_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvconstvectorarray = N_VConstVectorArray_OpenMP;
else
v->ops->nvconstvectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableWrmsNormVectorArray_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvwrmsnormvectorarray = N_VWrmsNormVectorArray_OpenMP;
else
v->ops->nvwrmsnormvectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableWrmsNormMaskVectorArray_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvwrmsnormmaskvectorarray = N_VWrmsNormMaskVectorArray_OpenMP;
else
v->ops->nvwrmsnormmaskvectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableScaleAddMultiVectorArray_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvscaleaddmultivectorarray = N_VScaleAddMultiVectorArray_OpenMP;
else
v->ops->nvscaleaddmultivectorarray = NULL;
/* return success */
return(0);
}
int N_VEnableLinearCombinationVectorArray_OpenMP(N_Vector v, booleantype tf)
{
/* check that vector is non-NULL */
if (v == NULL) return(-1);
/* check that ops structure is non-NULL */
if (v->ops == NULL) return(-1);
/* enable/disable operation */
if (tf)
v->ops->nvlinearcombinationvectorarray = N_VLinearCombinationVectorArray_OpenMP;
else
v->ops->nvlinearcombinationvectorarray = NULL;
/* return success */
return(0);
}
|
quality_metrics.h | //***************************************************************************
//* Copyright (c) 2019 Saint Petersburg State University
//* All Rights Reserved
//* See file LICENSE for details.
//***************************************************************************
#ifndef PROJECT_QUALITY_METRICS_H
#define PROJECT_QUALITY_METRICS_H
#include "kmer_data.hpp"
#include "reference.h"
#include "subcluster.hpp"
#include <fstream>
namespace hammer {
struct TKmerQualitySample {
double quality_ = 0;
double posterior_ = 0;
size_t count_ = 0;
size_t idx_ = 0;
TKmerQualitySample(double quality, double posterior, size_t count, size_t idx)
: quality_(quality), posterior_(posterior), count_(count), idx_(idx) {}
};
class TKmerQualitySamples {
private:
std::vector<TKmerQualitySample> Samples;
public:
void Add(const TKmerQualitySample& sample) { Samples.push_back(sample); }
void PrintInfo(const std::string& message) const {
if (Samples.size() == 0) {
return;
}
std::vector<double> quality;
for (const auto& sample : Samples) {
quality.push_back(sample.quality_);
}
double sum = 0;
double sum2 = 0;
for (double q : quality) {
sum += q;
sum2 += q * q;
}
double mean = sum / ((double)quality.size());
double sd = sum2 / ((double)quality.size()) - mean * mean;
std::sort(quality.begin(), quality.end());
const size_t quantile99 = (size_t)((double)quality.size() * 0.99);
const size_t quantile001 = (size_t)((double)quality.size() * 0.001);
const auto quantile01 = (size_t)((double)quality.size() * 0.01);
const auto quantile999 = (size_t)((double)quality.size() * 0.999);
INFO(message << "\nmean\tmedian\tsd\t0.01\t0.99\t0.001\t0.999\n"
<< mean << "\t" << quality[quality.size() / 2] << "\t" << sd
<< "\t" << quality[quantile01] << "\t"
<< quality[quantile99] << "\t"
<< quality[quantile001] << "\t"
<< quality[quantile999]);
}
std::vector<TKmerQualitySample>::const_iterator begin() {
return Samples.begin();
}
std::vector<TKmerQualitySample>::const_iterator end() {
return Samples.end();
}
};
class ClusteringQuality {
private:
const TGenomReferenceOracle& oracle_;
const KMerData& data_;
HKMerSet singleton_kmers_;
HKMerSet non_singleton_kmers_;
HKMerSet center_cluster_kmers_;
HKMerSet good_kmers_;
HKMerSet bad_kmers_;
TKmerQualitySamples genomic_centers_;
TKmerQualitySamples non_genomic_centers_;
private:
static inline void AddKMer(const HKMer& kmer, HKMerSet& set) {
set.insert(kmer);
// set.insert(!kmer);
}
void AddSingleton(const std::vector<size_t>& indices) {
assert(indices.size() == 1);
const auto& kmer = data_[indices[0]].kmer;
AddKMer(kmer, singleton_kmers_);
}
void AddNonSingleton(const std::vector<size_t>& indices) {
for (auto idx : indices) {
AddKMer(data_[idx].kmer, non_singleton_kmers_);
}
}
public:
ClusteringQuality(const TGenomReferenceOracle& oracle,
const KMerData& kMerData)
: oracle_(oracle), data_(kMerData) {}
void AddCluster(const std::vector<size_t>& indices) {
HKMer center;
if (indices.size() == 1) {
AddSingleton(indices);
center = data_[indices[0]].kmer;
} else {
AddNonSingleton(indices);
center = TGenomicHKMersEstimator::Center(data_, indices);
}
AddKMer(center, center_cluster_kmers_);
}
void AddKMer(size_t idx) {
const KMerStat& kmerStat = data_[idx];
const auto& kmer = kmerStat.kmer;
bool isGood = kmerStat.good();
#pragma omp critical
{
if (isGood) {
AddKMer(kmer, good_kmers_);
} else {
AddKMer(kmer, bad_kmers_);
}
TKmerQualitySample qualitySample = {kmerStat.qual,
exp(kmerStat.posterior_genomic_ll),
(size_t)kmerStat.count, idx};
if (oracle_.IsGenomic(kmer)) {
genomic_centers_.Add(qualitySample);
} else {
non_genomic_centers_.Add(qualitySample);
}
}
}
void Info() {
{ oracle_.KMerSetStats(singleton_kmers_, "Singletons"); }
{ oracle_.KMerSetStats(non_singleton_kmers_, "NonSingletons"); }
{ oracle_.KMerSetStats(center_cluster_kmers_, "Center cluster kmers"); }
{ oracle_.KMerSetStats(good_kmers_, "Good kmers"); }
{ oracle_.KMerSetStats(bad_kmers_, "Bad not-filtered by clustering kmers"); }
{
// GenomicCenters.PrintInfo("Genomic centers");
// NonGenomicCenters.PrintInfo("Non genomic centers");
std::ofstream out("quality_samples.tsv");
out << "is_genomic\tlength\tmax_run_length\tquality\tposterior\tcount"
<< std::endl;
for (const auto& entry : genomic_centers_) {
out << "1\t" << data_[entry.idx_].kmer.size() << "\t"
<< MaxRunLength(data_[entry.idx_].kmer) << "\t" << entry.quality_
<< "\t" << entry.posterior_ << "\t" << entry.count_ << "\n";
}
for (const auto& entry : non_genomic_centers_) {
out << "0\t" << data_[entry.idx_].kmer.size() << "\t"
<< MaxRunLength(data_[entry.idx_].kmer) << "\t" << entry.quality_
<< "\t" << entry.posterior_ << "\t" << entry.count_ << "\n";
}
}
}
int MaxRunLength(const HKMer& kmer) const {
int max_len = kmer[0].len;
for (uint i = 0; i < hammer::K; ++i) {
max_len = std::max(max_len, (int)kmer[i].len);
}
return max_len;
}
};
} // namespace hammer
#endif // PROJECT_QUALITY_METRICS_H
|
krb5-18_fmt_plug.c | /*
* KRB5 - Enctype 18 (aes256-cts-hmac-sha1-96) cracker patch for JtR
* Created on August of 2012 by Mougey Camille (CEA/DAM) & Lalet Pierre (CEA/DAM)
*
* This format is one of formats saved in KDC database and used during the authentication part
*
* This software is Copyright (c) 2012, Mougey Camille (CEA/DAM)
* Lalet Pierre (CEA/DAM)
* 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.
*
* Input Format :
* - user:$krb18$REALMname$hash
* - user:REALMname$hash
*
* Format rewritten Dec, 2014, without use of -lkrb5, by JimF. Now we use 'native' JtR
* pbkdf2-hmac-sha1() and simple call to 2 AES limb encrypt for entire process. Very
* simple, and 10x faster, and no obsure -lkrb5 dependency
*/
#if AC_BUILT
#include "autoconfig.h"
#endif
#if FMT_EXTERNS_H
extern struct fmt_main fmt_krb5_18;
#elif FMT_REGISTERS_H
john_register_one(&fmt_krb5_18);
#else
#include <string.h>
#include <assert.h>
#include <errno.h>
#include "arch.h"
#include "misc.h"
#include "common.h"
#include "formats.h"
#include "johnswap.h"
#include "params.h"
#include "options.h"
#include "simd-intrinsics.h"
#include "pbkdf2_hmac_sha1.h"
#include "aes.h"
#ifdef _OPENMP
#include <omp.h>
#ifdef SIMD_COEF_32
#ifndef OMP_SCALE
#define OMP_SCALE 8
#endif
#else
#ifndef OMP_SCALE
#define OMP_SCALE 32
#endif
#endif
#endif
#include "memdbg.h"
#define FORMAT_LABEL "krb5-18"
#define FORMAT_NAME "Kerberos 5 db etype 18"
#define FORMAT_TAG "$krb18$"
#define TAG_LENGTH 7
#if SIMD_COEF_32
#define ALGORITHM_NAME "PBKDF2-SHA1 " SHA1_ALGORITHM_NAME " AES"
#else
#define ALGORITHM_NAME "PBKDF2-SHA1 32/" ARCH_BITS_STR " AES"
#endif
#define BENCHMARK_COMMENT ""
#define BENCHMARK_LENGTH -1
#define PLAINTEXT_LENGTH 64
#define CIPHERTEXT_LENGTH 64
#define BINARY_SIZE 32
#define BINARY_ALIGN 4
#define SALT_SIZE CIPHERTEXT_LENGTH
#define SALT_ALIGN 1
#ifdef 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
static struct fmt_tests kinit_tests[] = {
{"OLYMPE.OLtest$214bb89cf5b8330112d52189ab05d9d05b03b5a961fe6d06203335ad5f339b26", "password"},
{FORMAT_TAG "OLYMPE.OLtest$214bb89cf5b8330112d52189ab05d9d05b03b5a961fe6d06203335ad5f339b26",
"password"},
{NULL}
};
static char (*saved_key)[PLAINTEXT_LENGTH + 1];
static char saved_salt[SALT_SIZE+1];
static ARCH_WORD_32 (*crypt_out)[16];
static void init(struct fmt_main *self)
{
#ifdef _OPENMP
int omp_t = omp_get_max_threads();
self->params.min_keys_per_crypt *= omp_t;
omp_t *= OMP_SCALE;
self->params.max_keys_per_crypt *= omp_t;
#endif
saved_key = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*saved_key));
crypt_out = mem_calloc(self->params.max_keys_per_crypt,
sizeof(*crypt_out));
}
static void done(void)
{
MEM_FREE(crypt_out);
MEM_FREE(saved_key);
}
static int valid(char *ciphertext, struct fmt_main *self)
{
char *p, *q;
p = ciphertext;
if (!strncmp(p, FORMAT_TAG, TAG_LENGTH))
p += TAG_LENGTH;
p = strstr(p, "$");
if(p == NULL)
return 0;
q = ciphertext;
if(p - q > SALT_SIZE) /* check salt length */
return 0;
q = ++p;
while (atoi16l[ARCH_INDEX(*q)] != 0x7F) {
q++;
}
return !*q && q - p == CIPHERTEXT_LENGTH;
}
static char *split(char *ciphertext, int index, struct fmt_main *self)
{
static char out[TAG_LENGTH + CIPHERTEXT_LENGTH + SALT_SIZE + 1];
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
return ciphertext;
memcpy(out, FORMAT_TAG, TAG_LENGTH);
strnzcpyn(out + TAG_LENGTH, ciphertext, CIPHERTEXT_LENGTH + SALT_SIZE + 1);
return out;
}
static void *get_salt(char *ciphertext)
{
static char out[SALT_SIZE+1];
char *p, *q;
memset(&out, 0, sizeof(out));
p = ciphertext + TAG_LENGTH;
q = strstr(p, "$");
strncpy(out, p, q-p);
out[q-p] = 0;
return out;
}
static void set_salt(void *salt)
{
strcpy(saved_salt, salt);
}
static void *get_binary(char *ciphertext)
{
static unsigned char *out;
char *p;
int i = 0;
if (!out) out = mem_alloc_tiny(BINARY_SIZE, MEM_ALIGN_WORD);
p = ciphertext;
if (!strncmp(ciphertext, FORMAT_TAG, TAG_LENGTH))
p += TAG_LENGTH;
p = strstr(p, "$") + 1;
for (; i < BINARY_SIZE; i++) {
out[i] =
(atoi16[ARCH_INDEX(*p)] << 4) |
atoi16[ARCH_INDEX(p[1])];
p += 2;
}
return out;
}
static int crypt_all(int *pcount, struct db_salt *_salt)
{
const int count = *pcount;
int index = 0;
#ifdef _OPENMP
#pragma omp parallel for
#endif
#if defined(_OPENMP) || MAX_KEYS_PER_CRYPT > 1
for (index = 0; index < count; index += MAX_KEYS_PER_CRYPT)
#endif
{
unsigned char key[32], i;
AES_KEY aeskey;
#ifdef SSE_GROUP_SZ_SHA1
ARCH_WORD_32 Key[SSE_GROUP_SZ_SHA1][32/4];
int lens[SSE_GROUP_SZ_SHA1];
unsigned char *pin[SSE_GROUP_SZ_SHA1];
union {
ARCH_WORD_32 *pout[SSE_GROUP_SZ_SHA1];
unsigned char *poutc;
} x;
for (i = 0; i < SSE_GROUP_SZ_SHA1; ++i) {
lens[i] = strlen(saved_key[index+i]);
pin[i] = (unsigned char*)saved_key[index+i];
x.pout[i] = Key[i];
}
pbkdf2_sha1_sse((const unsigned char **)pin, lens, (const unsigned char*)saved_salt, strlen(saved_salt), 4096, &(x.poutc), 32, 0);
#else
pbkdf2_sha1((const unsigned char*)saved_key[index], strlen(saved_key[index]), (const unsigned char*)saved_salt, strlen(saved_salt), 4096, key, 32, 0);
#endif
i=0;
#ifdef SSE_GROUP_SZ_SHA1
for (; i < SSE_GROUP_SZ_SHA1; ++i) {
memcpy(key, Key[i], 32);
#endif
AES_set_encrypt_key(key, 256, &aeskey);
AES_encrypt((unsigned char*)"kerberos{\x9b[+\x93\x13+\x93", (unsigned char*)(crypt_out[index+i]), &aeskey);
AES_encrypt((unsigned char*)(crypt_out[index+i]), (unsigned char*)&crypt_out[index+i][4], &aeskey);
#ifdef SSE_GROUP_SZ_SHA1
}
#endif
}
return count;
}
static int cmp_all(void *binary, int count)
{
int index = 0;
#if defined(_OPENMP) || MAX_KEYS_PER_CRYPT > 1
for (; index < count; index++)
#endif
if (crypt_out[index][0] == *(ARCH_WORD_32*)binary)
return 1;
return 0;
}
static int cmp_one(void *binary, int index)
{
return !memcmp(binary, crypt_out[index], BINARY_SIZE);
}
static int cmp_exact(char *source, int index)
{
return 1;
}
static void set_key(char *key, int index)
{
int saved_len = strlen(key);
if (saved_len > PLAINTEXT_LENGTH)
saved_len = PLAINTEXT_LENGTH;
memcpy(saved_key[index], key, saved_len);
saved_key[index][saved_len] = 0;
}
static char *get_key(int index)
{
return saved_key[index];
}
static int get_hash_0(int index) { return crypt_out[index][0] & PH_MASK_0; }
static int get_hash_1(int index) { return crypt_out[index][0] & PH_MASK_1; }
static int get_hash_2(int index) { return crypt_out[index][0] & PH_MASK_2; }
static int get_hash_3(int index) { return crypt_out[index][0] & PH_MASK_3; }
static int get_hash_4(int index) { return crypt_out[index][0] & PH_MASK_4; }
static int get_hash_5(int index) { return crypt_out[index][0] & PH_MASK_5; }
static int get_hash_6(int index) { return crypt_out[index][0] & PH_MASK_6; }
struct fmt_main fmt_krb5_18 = {
{
FORMAT_LABEL,
FORMAT_NAME,
ALGORITHM_NAME,
BENCHMARK_COMMENT,
BENCHMARK_LENGTH,
0,
PLAINTEXT_LENGTH,
BINARY_SIZE,
BINARY_ALIGN,
SALT_SIZE,
SALT_ALIGN,
MIN_KEYS_PER_CRYPT,
MAX_KEYS_PER_CRYPT,
FMT_CASE | FMT_8_BIT | FMT_OMP,
{ NULL },
kinit_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
},
fmt_default_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 */
|
GB_binop__iseq_int16.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__iseq_int16)
// A.*B function (eWiseMult): GB (_AemultB_08__iseq_int16)
// A.*B function (eWiseMult): GB (_AemultB_02__iseq_int16)
// A.*B function (eWiseMult): GB (_AemultB_04__iseq_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__iseq_int16)
// A*D function (colscale): GB (_AxD__iseq_int16)
// D*A function (rowscale): GB (_DxB__iseq_int16)
// C+=B function (dense accum): GB (_Cdense_accumB__iseq_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__iseq_int16)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__iseq_int16)
// C=scalar+B GB (_bind1st__iseq_int16)
// C=scalar+B' GB (_bind1st_tran__iseq_int16)
// C=A+scalar GB (_bind2nd__iseq_int16)
// C=A'+scalar GB (_bind2nd_tran__iseq_int16)
// C type: int16_t
// A type: int16_t
// A pattern? 0
// B type: int16_t
// B pattern? 0
// 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,A_iso) \
int16_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) \
int16_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) \
int16_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_ISEQ || GxB_NO_INT16 || GxB_NO_ISEQ_INT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__iseq_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__iseq_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__iseq_int16)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int16_t
int16_t bwork = (*((int16_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__iseq_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
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
int16_t *restrict Cx = (int16_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__iseq_int16)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_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__iseq_int16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool 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) ;
int16_t alpha_scalar ;
int16_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int16_t *) alpha_scalar_in)) ;
beta_scalar = (*((int16_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__iseq_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_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__iseq_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_04__iseq_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_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__iseq_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__iseq_int16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
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 < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_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__iseq_int16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *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 = 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) \
{ \
int16_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x == aij) ; \
}
GrB_Info GB (_bind1st_tran__iseq_int16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *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 = GBX (Ax, pA, false) ; \
Cx [pC] = (aij == y) ; \
}
GrB_Info GB (_bind2nd_tran__iseq_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *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
|
ark_heat1D_omp.c | /*---------------------------------------------------------------
* Programmer(s): Shelby Lockhart @ LLNL
*---------------------------------------------------------------
* Based on the serial code ark_heat1D.c developed by
* Daniel R. Reynolds @ SMU and parallelized with OpenMP
*---------------------------------------------------------------
* SUNDIALS Copyright Start
* Copyright (c) 2002-2019, Lawrence Livermore National Security
* and Southern Methodist University.
* All rights reserved.
*
* See the top-level LICENSE and NOTICE files for details.
*
* SPDX-License-Identifier: BSD-3-Clause
* SUNDIALS Copyright End
*---------------------------------------------------------------
* Example problem:
*
* The following test simulates a simple 1D heat equation,
* u_t = k*u_xx + f
* for t in [0, 10], x in [0, 1], with initial conditions
* u(0,x) = 0
* Dirichlet boundary conditions, i.e.
* u_t(t,0) = u_t(t,1) = 0,
* and a point-source heating term,
* f = 1 for x=0.5.
*
* The spatial derivatives are computed using second-order
* centered differences, with the data distributed over N points
* on a uniform spatial grid.
*
* This program solves the problem with either an ERK or DIRK
* method. For the DIRK method, we use a Newton iteration with
* the SUNPCG linear solver, and a user-supplied Jacobian-vector
* product routine.
*
* 100 outputs are printed at equal intervals, and run statistics
* are printed at the end.
*---------------------------------------------------------------*/
/* Header files */
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <arkode/arkode_arkstep.h> /* prototypes for ARKStep fcts., consts */
#include <nvector/nvector_openmp.h> /* OpenMP N_Vector types, fcts., macros */
#include <sunlinsol/sunlinsol_pcg.h> /* access to PCG SUNLinearSolver */
#include <sundials/sundials_types.h> /* defs. of realtype, sunindextype, etc */
#include <sundials/sundials_math.h> /* def. of SUNRsqrt, etc. */
#ifdef _OPENMP
#include <omp.h> /* OpenMP function defs. */
#endif
#if defined(SUNDIALS_EXTENDED_PRECISION)
#define GSYM "Lg"
#define ESYM "Le"
#define FSYM "Lf"
#else
#define GSYM "g"
#define ESYM "e"
#define FSYM "f"
#endif
/* user data structure */
typedef struct {
sunindextype N; /* number of intervals */
int nthreads; /* number of OpenMP threads */
realtype dx; /* mesh spacing */
realtype k; /* diffusion coefficient */
} *UserData;
/* User-supplied Functions Called by the Solver */
static int f(realtype t, N_Vector y, N_Vector ydot, void *user_data);
static int Jac(N_Vector v, N_Vector Jv, realtype t, N_Vector y,
N_Vector fy, void *user_data, N_Vector tmp);
/* Private function to check function return values */
static int check_flag(void *flagvalue, const char *funcname, int opt);
/* Main Program */
int main(int argc, char *argv[]) {
/* general problem parameters */
realtype T0 = RCONST(0.0); /* initial time */
realtype Tf = RCONST(1.0); /* final time */
int Nt = 10; /* total number of output times */
realtype rtol = 1.e-6; /* relative tolerance */
realtype atol = 1.e-10; /* absolute tolerance */
UserData udata = NULL;
realtype *data;
sunindextype N = 201; /* spatial mesh size */
realtype k = 0.5; /* heat conductivity */
sunindextype i;
/* general problem variables */
int flag; /* reusable error-checking flag */
N_Vector y = NULL; /* empty vector for storing solution */
SUNLinearSolver LS = NULL; /* empty linear solver object */
void *arkode_mem = NULL; /* empty ARKStep memory structure */
FILE *FID, *UFID;
realtype t, dTout, tout;
int iout, num_threads;
long int nst, nst_a, nfe, nfi, nsetups, nli, nJv, nlcf, nni, ncfn, netf;
/* set the number of threads to use */
num_threads = 1; /* default value */
#ifdef _OPENMP
num_threads = omp_get_max_threads(); /* overwrite with OMP_NUM_THREADS environment variable */
#endif
if (argc > 1) /* overwrite with command line value, if supplied */
num_threads = strtol(argv[1], NULL, 0);
/* allocate and fill udata structure */
udata = (UserData) malloc(sizeof(*udata));
udata->N = N;
udata->k = k;
udata->dx = RCONST(1.0)/(1.0*N-1.0); /* mesh spacing */
udata->nthreads = num_threads;
/* Initial problem output */
printf("\n1D Heat PDE test problem:\n");
printf(" N = %li\n", (long int) udata->N);
printf(" diffusion coefficient: k = %"GSYM"\n", udata->k);
/* Initialize data structures */
y = N_VNew_OpenMP(N, num_threads); /* Create OpenMP vector for solution */
if (check_flag((void *) y, "N_VNew_OpenMP", 0)) return 1;
N_VConst(0.0, y); /* Set initial conditions */
arkode_mem = ARKStepCreate(NULL, f, T0, y); /* Create the solver memory */
if (check_flag((void *) arkode_mem, "ARKStepCreate", 0)) return 1;
/* Set routines */
flag = ARKStepSetUserData(arkode_mem, (void *) udata); /* Pass udata to user functions */
if (check_flag(&flag, "ARKStepSetUserData", 1)) return 1;
flag = ARKStepSetMaxNumSteps(arkode_mem, 10000); /* Increase max num steps */
if (check_flag(&flag, "ARKStepSetMaxNumSteps", 1)) return 1;
flag = ARKStepSetPredictorMethod(arkode_mem, 1); /* Specify maximum-order predictor */
if (check_flag(&flag, "ARKStepSetPredictorMethod", 1)) return 1;
flag = ARKStepSStolerances(arkode_mem, rtol, atol); /* Specify tolerances */
if (check_flag(&flag, "ARKStepSStolerances", 1)) return 1;
/* Initialize PCG solver -- no preconditioning, with up to N iterations */
LS = SUNLinSol_PCG(y, 0, N);
if (check_flag((void *)LS, "SUNLinSol_PCG", 0)) return 1;
/* Linear solver interface -- set user-supplied J*v routine (no 'jtsetup' required) */
flag = ARKStepSetLinearSolver(arkode_mem, LS, NULL); /* Attach linear solver to ARKStep */
if (check_flag(&flag, "ARKStepSetLinearSolver", 1)) return 1;
flag = ARKStepSetJacTimes(arkode_mem, NULL, Jac); /* Set the Jacobian routine */
if (check_flag(&flag, "ARKStepSetJacTimes", 1)) return 1;
/* Specify linearly implicit RHS, with non-time-dependent Jacobian */
flag = ARKStepSetLinear(arkode_mem, 0);
if (check_flag(&flag, "ARKStepSetLinear", 1)) return 1;
/* output mesh to disk */
FID=fopen("heat_mesh.txt","w");
for (i=0; i<N; i++) fprintf(FID," %.16"ESYM"\n", udata->dx*i);
fclose(FID);
/* Open output stream for results, access data array */
UFID=fopen("heat1D.txt","w");
data = N_VGetArrayPointer(y);
/* output initial condition to disk */
for (i=0; i<N; i++) fprintf(UFID," %.16"ESYM"", data[i]);
fprintf(UFID,"\n");
/* Main time-stepping loop: calls ARKStep to perform the integration, then
prints results. Stops when the final time has been reached */
t = T0;
dTout = (Tf-T0)/Nt;
tout = T0+dTout;
printf(" t ||u||_rms\n");
printf(" -------------------------\n");
printf(" %10.6"FSYM" %10.6"FSYM"\n", t, SUNRsqrt(N_VDotProd(y,y)/N));
for (iout=0; iout<Nt; iout++) {
flag = ARKStepEvolve(arkode_mem, tout, y, &t, ARK_NORMAL); /* call integrator */
if (check_flag(&flag, "ARKStepEvolve", 1)) break;
printf(" %10.6"FSYM" %10.6"FSYM"\n", t, SUNRsqrt(N_VDotProd(y,y)/N)); /* print solution stats */
if (flag >= 0) { /* successful solve: update output time */
tout += dTout;
tout = (tout > Tf) ? Tf : tout;
} else { /* unsuccessful solve: break */
fprintf(stderr,"Solver failure, stopping integration\n");
break;
}
/* output results to disk */
for (i=0; i<N; i++) fprintf(UFID," %.16"ESYM"", data[i]);
fprintf(UFID,"\n");
}
printf(" -------------------------\n");
fclose(UFID);
/* Print some final statistics */
flag = ARKStepGetNumSteps(arkode_mem, &nst);
check_flag(&flag, "ARKStepGetNumSteps", 1);
flag = ARKStepGetNumStepAttempts(arkode_mem, &nst_a);
check_flag(&flag, "ARKStepGetNumStepAttempts", 1);
flag = ARKStepGetNumRhsEvals(arkode_mem, &nfe, &nfi);
check_flag(&flag, "ARKStepGetNumRhsEvals", 1);
flag = ARKStepGetNumLinSolvSetups(arkode_mem, &nsetups);
check_flag(&flag, "ARKStepGetNumLinSolvSetups", 1);
flag = ARKStepGetNumErrTestFails(arkode_mem, &netf);
check_flag(&flag, "ARKStepGetNumErrTestFails", 1);
flag = ARKStepGetNumNonlinSolvIters(arkode_mem, &nni);
check_flag(&flag, "ARKStepGetNumNonlinSolvIters", 1);
flag = ARKStepGetNumNonlinSolvConvFails(arkode_mem, &ncfn);
check_flag(&flag, "ARKStepGetNumNonlinSolvConvFails", 1);
flag = ARKStepGetNumLinIters(arkode_mem, &nli);
check_flag(&flag, "ARKStepGetNumLinIters", 1);
flag = ARKStepGetNumJtimesEvals(arkode_mem, &nJv);
check_flag(&flag, "ARKStepGetNumJtimesEvals", 1);
flag = ARKStepGetNumLinConvFails(arkode_mem, &nlcf);
check_flag(&flag, "ARKStepGetNumLinConvFails", 1);
printf("\nFinal Solver Statistics:\n");
printf(" Internal solver steps = %li (attempted = %li)\n", nst, nst_a);
printf(" Total RHS evals: Fe = %li, Fi = %li\n", nfe, nfi);
printf(" Total linear solver setups = %li\n", nsetups);
printf(" Total linear iterations = %li\n", nli);
printf(" Total number of Jacobian-vector products = %li\n", nJv);
printf(" Total number of linear solver convergence failures = %li\n", nlcf);
printf(" Total number of Newton iterations = %li\n", nni);
printf(" Total number of nonlinear solver convergence failures = %li\n", ncfn);
printf(" Total number of error test failures = %li\n", netf);
/* Clean up and return with successful completion */
N_VDestroy(y); /* Free vectors */
free(udata); /* Free user data */
ARKStepFree(&arkode_mem); /* Free integrator memory */
SUNLinSolFree(LS); /* Free linear solver */
return 0;
}
/*--------------------------------
* Functions called by the solver
*--------------------------------*/
/* f routine to compute the ODE RHS function f(t,y). */
static int f(realtype t, N_Vector y, N_Vector ydot, void *user_data)
{
UserData udata = (UserData) user_data; /* access problem data */
sunindextype N = udata->N; /* set variable shortcuts */
realtype k = udata->k;
realtype dx = udata->dx;
realtype *Y=NULL, *Ydot=NULL;
realtype c1, c2;
sunindextype i, isource;
Y = N_VGetArrayPointer(y); /* access data arrays */
if (check_flag((void *) Y, "N_VGetArrayPointer", 0)) return 1;
Ydot = N_VGetArrayPointer(ydot);
if (check_flag((void *) Ydot, "N_VGetArrayPointer", 0)) return 1;
N_VConst(0.0, ydot); /* Initialize ydot to zero */
/* iterate over domain, computing all equations */
c1 = k/dx/dx;
c2 = -RCONST(2.0)*k/dx/dx;
isource = N/2;
Ydot[0] = 0.0; /* left boundary condition */
#pragma omp parallel for default(shared) private(i) schedule(static) num_threads(udata->nthreads)
for (i=1; i<N-1; i++)
Ydot[i] = c1*Y[i-1] + c2*Y[i] + c1*Y[i+1];
Ydot[N-1] = 0.0; /* right boundary condition */
Ydot[isource] += 0.01/dx; /* source term */
return 0; /* Return with success */
}
/* Jacobian routine to compute J(t,y) = df/dy. */
static int Jac(N_Vector v, N_Vector Jv, realtype t, N_Vector y,
N_Vector fy, void *user_data, N_Vector tmp)
{
UserData udata = (UserData) user_data; /* variable shortcuts */
sunindextype N = udata->N;
realtype k = udata->k;
realtype dx = udata->dx;
realtype *V=NULL, *JV=NULL;
realtype c1, c2;
sunindextype i;
V = N_VGetArrayPointer(v); /* access data arrays */
if (check_flag((void *) V, "N_VGetArrayPointer", 0)) return 1;
JV = N_VGetArrayPointer(Jv);
if (check_flag((void *) JV, "N_VGetArrayPointer", 0)) return 1;
N_VConst(0.0, Jv); /* initialize Jv product to zero */
/* iterate over domain, computing all Jacobian-vector products */
c1 = k/dx/dx;
c2 = -RCONST(2.0)*k/dx/dx;
JV[0] = 0.0;
#pragma omp parallel for default(shared) private(i) schedule(static) num_threads(udata->nthreads)
for (i=1; i<N-1; i++)
JV[i] = c1*V[i-1] + c2*V[i] + c1*V[i+1];
JV[N-1] = 0.0;
return 0; /* Return with success */
}
/*-------------------------------
* Private helper functions
*-------------------------------*/
/* Check function return value...
opt == 0 means SUNDIALS function allocates memory so check if
returned NULL pointer
opt == 1 means SUNDIALS function returns a flag so check if
flag >= 0
opt == 2 means function allocates memory so check if returned
NULL pointer
*/
static int check_flag(void *flagvalue, const char *funcname, int opt)
{
int *errflag;
/* Check if SUNDIALS function returned NULL pointer - no memory allocated */
if (opt == 0 && flagvalue == NULL) {
fprintf(stderr, "\nSUNDIALS_ERROR: %s() failed - returned NULL pointer\n\n",
funcname);
return 1; }
/* Check if flag < 0 */
else if (opt == 1) {
errflag = (int *) flagvalue;
if (*errflag < 0) {
fprintf(stderr, "\nSUNDIALS_ERROR: %s() failed with flag = %d\n\n",
funcname, *errflag);
return 1; }}
/* Check if function returned NULL pointer - no memory allocated */
else if (opt == 2 && flagvalue == NULL) {
fprintf(stderr, "\nMEMORY_ERROR: %s() failed - returned NULL pointer\n\n",
funcname);
return 1; }
return 0;
}
/*---- end of file ----*/
|
parallel_invoker.h | // Copyright 2019 The MediaPipe Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Parallel for loop execution.
// For details adapt parallel_using_* flags defined in parallel_invoker.cc.
// Usage example (for 1D):
// Define Functor or lambda function that implements:
// void operator()(const BlockedRange & range) const;
// (in addition functor needs to be copyable).
// Execute a for loop in parallel from 0 to N via:
// ParallelFor(0, // start_index
// num_frames, // end_index, exclusive
// 1 // number of elements processed per iteration
// [](const BlockedRange& range) {
// // Process per-thread sub-range
// for (int i = range.begin(); i < range.end(); ++i) {
// // Process i'th item.
// }
// }
// Specific implementation to copy a vector of images in parallel.
// class CopyInvoker {
// public:
// CopyInvoker(const vector<cv::Mat>& inputs,
// vector<cv::Mat*>* outputs)
// : inputs_(inputs), outputs_(outputs) {
// }
// CopyInvoker(const CopyInvoker& rhs)
// : inputs_(rhs.inputs_), outputs_(rhs.outputs) {
// }
// void operator()(const BlockedRange& range) {
// for (int frame = range.begin(); frame < range.end(); ++frame) {
// inputs_[frame].copyTo(*(*outputs_)[frame]);
// }
// }
// private:
// const vector<cv::Mat>& inputs_;
// vector<cv::Mat*>* outputs_;
// }
// vector<cv::Mat> inputs;
// vector<cv::Mat*> outputs;
// ParallelFor(0, num_frames, 1, CopyInvoker(inputs, &outputs));
//
// OR (with lambdas):
// ParallelFor(0, num_frames, 1,
// [&inputs, &outputs](const BlockedRange& range) {
// for (int frame = range.begin(); frame < range.end(); ++frame) {
// inputs[frame].copyTo(*(outputs)[frame]);
// }
// }
#ifndef MEDIAPIPE_UTIL_TRACKING_PARALLEL_INVOKER_H_
#define MEDIAPIPE_UTIL_TRACKING_PARALLEL_INVOKER_H_
#include <stddef.h>
#include <memory>
#include "absl/synchronization/mutex.h"
#include "mediapipe/framework/port/logging.h"
#ifdef PARALLEL_INVOKER_ACTIVE
#include "mediapipe/framework/port/threadpool.h"
#ifdef __APPLE__
#include <dispatch/dispatch.h>
#include <stdatomic.h>
#endif
#endif // PARALLEL_INVOKER_ACTIVE
// Specifies parallelization implementation to use.
enum PARALLEL_INVOKER_MODE {
PARALLEL_INVOKER_NONE = 0, // Uses single threaded execution
PARALLEL_INVOKER_THREAD_POOL = 1, // Uses //thread/threadpool
PARALLEL_INVOKER_OPENMP = 2, // Uses OpenMP (requires compiler support)
PARALLEL_INVOKER_GCD = 3, // Uses GCD (Apple)
PARALLEL_INVOKER_MAX_VALUE = 4, // Increase when adding more modes
};
extern int flags_parallel_invoker_mode;
extern int flags_parallel_invoker_max_threads;
// Note flag: Parallel processing only activated if
// PARALLEL_INVOKER_ACTIVE is defined.
namespace mediapipe {
// Partitions the range [begin, end) into equal blocks of size grain_size each
// (except last one, might be less than grain_size).
class BlockedRange {
public:
BlockedRange(int begin, int end, int grain_size)
: begin_(begin), end_(end), grain_size_(grain_size) {}
int begin() const { return begin_; }
int end() const { return end_; }
int grain_size() const { return grain_size_; }
private:
int begin_;
int end_;
int grain_size_;
};
// Partitions the range row_range x col_range into equal
// blocks of size row_range.grain_size() x col_range.grain_size() each
// (except last column and row might be of size less than grain_size in one
// or both of their dimensions).
class BlockedRange2D {
public:
BlockedRange2D(const BlockedRange& rows, const BlockedRange& cols)
: rows_(rows), cols_(cols) {}
const BlockedRange& rows() const { return rows_; }
const BlockedRange& cols() const { return cols_; }
private:
BlockedRange rows_;
BlockedRange cols_;
};
#ifdef PARALLEL_INVOKER_ACTIVE
// Singleton ThreadPool for parallel invoker.
ThreadPool* ParallelInvokerThreadPool();
#ifdef __APPLE__
// Enable to allow GCD as an option beside ThreadPool.
#define USE_PARALLEL_INVOKER_GCD 1
#define CHECK_GCD_PARALLEL_WORK_COUNT DEBUG
template <class Invoker>
class ParallelInvokerGCDContext {
public:
ParallelInvokerGCDContext(const Invoker& invoker, const BlockedRange& rows)
: local_invoker_(invoker), rows_(rows) {
#if CHECK_GCD_PARALLEL_WORK_COUNT
count_ = 0;
#endif
}
const Invoker& invoker() {
#if CHECK_GCD_PARALLEL_WORK_COUNT
// Implicitly tracking the # of launched tasks at invoker retrieval.
atomic_fetch_add(&count_, 1);
#endif
return local_invoker_;
}
const BlockedRange& rows() const { return rows_; }
#if CHECK_GCD_PARALLEL_WORK_COUNT
const int count() { return atomic_load(&count_); }
#endif
private:
Invoker local_invoker_;
const BlockedRange& rows_;
#if CHECK_GCD_PARALLEL_WORK_COUNT
_Atomic(int32_t) count_;
#endif
};
template <class Invoker>
class ParallelInvokerGCDContext2D : public ParallelInvokerGCDContext<Invoker> {
public:
ParallelInvokerGCDContext2D(const Invoker& invoker, const BlockedRange& rows,
const BlockedRange& cols)
: ParallelInvokerGCDContext<Invoker>(invoker, rows), cols_(cols) {}
const BlockedRange& cols() const { return cols_; }
private:
BlockedRange cols_;
};
template <class Invoker>
static void ParallelForGCDTask(void* context, size_t index) {
ParallelInvokerGCDContext<Invoker>* invoker_context =
static_cast<ParallelInvokerGCDContext<Invoker>*>(context);
const BlockedRange& all_tasks = invoker_context->rows();
int start = all_tasks.begin() + index * all_tasks.grain_size();
int end = std::min(all_tasks.end(), start + all_tasks.grain_size());
BlockedRange this_task(start, end, all_tasks.grain_size());
const Invoker& invoker = invoker_context->invoker();
invoker(this_task);
}
template <class Invoker>
static void ParallelForGCDTask2D(void* context, size_t index) {
ParallelInvokerGCDContext2D<Invoker>* invoker_context =
static_cast<ParallelInvokerGCDContext2D<Invoker>*>(context);
// Partitioning across rows.
const BlockedRange& all_tasks = invoker_context->rows();
int start = all_tasks.begin() + index * all_tasks.grain_size();
int end = std::min(all_tasks.end(), start + all_tasks.grain_size());
BlockedRange this_task(start, end, all_tasks.grain_size());
const Invoker& invoker = invoker_context->invoker();
invoker(BlockedRange2D(this_task, invoker_context->cols()));
}
#endif // __APPLE__
#endif // PARALLEL_INVOKER_ACTIVE
// Simple wrapper for compatibility with below ParallelFor function.
template <class Invoker>
void SerialFor(size_t start, size_t end, size_t grain_size,
const Invoker& invoker) {
invoker(BlockedRange(start, end, 1));
}
inline void CheckAndSetInvokerOptions() {
#if defined(PARALLEL_INVOKER_ACTIVE)
#if defined(__ANDROID__)
// If unsupported option is selected, force usage of OpenMP if detected, and
// ThreadPool otherwise.
if (flags_parallel_invoker_mode != PARALLEL_INVOKER_NONE &&
flags_parallel_invoker_mode != PARALLEL_INVOKER_THREAD_POOL &&
flags_parallel_invoker_mode != PARALLEL_INVOKER_OPENMP) {
#if defined(_OPENMP)
LOG(WARNING) << "Unsupported invoker mode selected on Android. "
<< "OpenMP linkage detected, so falling back to OpenMP";
flags_parallel_invoker_mode = PARALLEL_INVOKER_OPENMP;
#else // _OPENMP
// Fallback mode for active parallel invoker without OpenMP is ThreadPool.
LOG(WARNING) << "Unsupported invoker mode selected on Android. "
<< "Falling back to ThreadPool";
flags_parallel_invoker_mode = PARALLEL_INVOKER_THREAD_POOL;
#endif // _OPENMP
}
#endif // __ANDROID__
#if defined(__APPLE__) || defined(__EMSCRIPTEN__)
// Force usage of ThreadPool if unsupported option is selected.
// (OpenMP is not supported on iOS, due to missing clang support).
if (flags_parallel_invoker_mode != PARALLEL_INVOKER_NONE &&
#if defined(USE_PARALLEL_INVOKER_GCD)
flags_parallel_invoker_mode != PARALLEL_INVOKER_GCD &&
#endif // USE_PARALLEL_INVOKER_GCD
flags_parallel_invoker_mode != PARALLEL_INVOKER_THREAD_POOL) {
LOG(WARNING) << "Unsupported invoker mode selected on iOS. "
<< "Falling back to ThreadPool mode";
flags_parallel_invoker_mode = PARALLEL_INVOKER_THREAD_POOL;
}
#endif // __APPLE__ || __EMSCRIPTEN__
#if !defined(__APPLE__) && !defined(__EMSCRIPTEN__) && !defined(__ANDROID__)
flags_parallel_invoker_mode = PARALLEL_INVOKER_THREAD_POOL;
#endif // !__APPLE__ && !__EMSCRIPTEN__ && !__ANDROID__
// If OpenMP is requested, make sure we can actually use it, and fall back
// to ThreadPool if not.
if (flags_parallel_invoker_mode == PARALLEL_INVOKER_OPENMP) {
#if !defined(_OPENMP)
LOG(ERROR) << "OpenMP invoker mode selected but not compiling with OpenMP "
<< "enabled. Falling back to ThreadPool";
flags_parallel_invoker_mode = PARALLEL_INVOKER_THREAD_POOL;
#endif // _OPENMP
}
#else // PARALLEL_INVOKER_ACTIVE
if (flags_parallel_invoker_mode != PARALLEL_INVOKER_NONE) {
LOG(ERROR) << "Parallel execution requested but PARALLEL_INVOKER_ACTIVE "
<< "compile flag is not set. Falling back to single threaded "
<< "execution.";
flags_parallel_invoker_mode = PARALLEL_INVOKER_NONE;
}
#endif // PARALLEL_INVOKER_ACTIVE
CHECK_LT(flags_parallel_invoker_mode, PARALLEL_INVOKER_MAX_VALUE)
<< "Invalid invoker mode specified.";
CHECK_GE(flags_parallel_invoker_mode, 0) << "Invalid invoker mode specified.";
}
// Performs parallel iteration from [start to end), scheduling grain_size
// iterations per thread. For each iteration
// invoker(BlockedRange(thread_local_start, thread_local_end))
// is called. Each thread is given its local copy of invoker, i.e.
// invoker needs to have copy constructor defined.
template <class Invoker>
void ParallelFor(size_t start, size_t end, size_t grain_size,
const Invoker& invoker) {
#ifdef PARALLEL_INVOKER_ACTIVE
CheckAndSetInvokerOptions();
switch (flags_parallel_invoker_mode) {
#if defined(__APPLE__)
case PARALLEL_INVOKER_GCD: {
int iterations_remain = (end - start + grain_size - 1) / grain_size;
CHECK_GT(iterations_remain, 0);
if (iterations_remain == 1) {
// Execute invoker serially.
invoker(BlockedRange(start, std::min(end, start + grain_size), 1));
} else {
BlockedRange all_tasks(start, end, grain_size);
ParallelInvokerGCDContext<Invoker> context(invoker, all_tasks);
dispatch_queue_t concurrent_queue =
dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_DEFAULT, 0);
dispatch_apply_f(iterations_remain, concurrent_queue, &context,
ParallelForGCDTask<Invoker>);
#if CHECK_GCD_PARALLEL_WORK_COUNT
CHECK_EQ(iterations_remain, context.count());
#endif
}
break;
}
#endif // __APPLE__
case PARALLEL_INVOKER_THREAD_POOL: {
int iterations_remain = (end - start + grain_size - 1) / grain_size;
CHECK_GT(iterations_remain, 0);
if (iterations_remain == 1) {
// Execute invoker serially.
invoker(BlockedRange(start, std::min(end, start + grain_size), 1));
break;
}
struct {
absl::Mutex mutex;
absl::CondVar completed;
int iterations_remain GUARDED_BY(mutex);
} loop;
{
absl::MutexLock lock(&loop.mutex);
loop.iterations_remain = iterations_remain;
}
for (int x = start; x < end; x += grain_size) {
auto loop_func = [x, end, grain_size, &loop, invoker]() {
// Execute invoker.
invoker(BlockedRange(x, std::min(end, x + grain_size), 1));
// Decrement counter.
absl::MutexLock lock(&loop.mutex);
--loop.iterations_remain;
if (loop.iterations_remain == 0) {
loop.completed.SignalAll();
}
};
// Attempt to run in parallel, if busy run serial to avoid deadlocking.
// This can happen during nested invocation of ParallelFor, as if the
// loop iteration itself is calling ParallelFor we might deadlock if
// we can not guarantee for the iteration to be scheduled.
ParallelInvokerThreadPool()->Schedule(loop_func);
}
// Wait on termination of all iterations.
loop.mutex.Lock();
while (loop.iterations_remain > 0) {
loop.completed.Wait(&loop.mutex);
}
loop.mutex.Unlock();
break;
}
case PARALLEL_INVOKER_OPENMP: {
// Use thread-local copy of invoker.
Invoker local_invoker(invoker);
#pragma omp parallel for firstprivate(local_invoker) \
num_threads(flags_parallel_invoker_max_threads)
for (int x = start; x < end; ++x) {
local_invoker(BlockedRange(x, x + 1, 1));
}
break;
}
case PARALLEL_INVOKER_NONE: {
SerialFor(start, end, grain_size, invoker);
break;
}
case PARALLEL_INVOKER_MAX_VALUE: {
LOG(FATAL) << "Impossible.";
break;
}
}
#else
SerialFor(start, end, grain_size, invoker);
#endif // PARALLEL_INVOKER_ACTIVE
}
// Simple wrapper for compatibility with below ParallelFor2D function.
template <class Invoker>
void SerialFor2D(size_t start_row, size_t end_row, size_t start_col,
size_t end_col, size_t grain_size, const Invoker& invoker) {
invoker(BlockedRange2D(BlockedRange(start_row, end_row, 1),
BlockedRange(start_col, end_col, 1)));
}
// Same as above ParallelFor for 2D iteration.
template <class Invoker>
void ParallelFor2D(size_t start_row, size_t end_row, size_t start_col,
size_t end_col, size_t grain_size, const Invoker& invoker) {
#ifdef PARALLEL_INVOKER_ACTIVE
CheckAndSetInvokerOptions();
switch (flags_parallel_invoker_mode) {
#if defined(__APPLE__)
case PARALLEL_INVOKER_GCD: {
const int iterations_remain =
(end_row - start_row + grain_size - 1) / grain_size;
CHECK_GT(iterations_remain, 0);
if (iterations_remain == 1) {
// Execute invoker serially.
invoker(BlockedRange2D(BlockedRange(start_row, end_row, 1),
BlockedRange(start_col, end_col, 1)));
} else {
BlockedRange all_tasks(start_row, end_row, grain_size);
ParallelInvokerGCDContext2D<Invoker> context(
invoker, all_tasks, BlockedRange(start_col, end_col, grain_size));
dispatch_queue_t concurrent_queue =
dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_DEFAULT, 0);
dispatch_apply_f(iterations_remain, concurrent_queue, &context,
ParallelForGCDTask2D<Invoker>);
#if CHECK_GCD_PARALLEL_WORK_COUNT
CHECK_EQ(iterations_remain, context.count());
#endif
}
break;
}
#endif // __APPLE__
case PARALLEL_INVOKER_THREAD_POOL: {
int iterations_remain = end_row - start_row; // Guarded by loop_mutex
CHECK_GT(iterations_remain, 0);
if (iterations_remain == 1) {
// Execute invoker serially.
invoker(BlockedRange2D(BlockedRange(start_row, end_row, 1),
BlockedRange(start_col, end_col, 1)));
break;
}
absl::Mutex loop_mutex;
absl::CondVar loop_completed;
for (int y = start_row; y < end_row; ++y) {
auto loop_func = [y, start_col, end_col, &loop_mutex, &loop_completed,
&iterations_remain, invoker]() {
// Execute invoker.
invoker(BlockedRange2D(BlockedRange(y, y + 1, 1),
BlockedRange(start_col, end_col, 1)));
// Decrement counter.
absl::MutexLock lock(&loop_mutex);
--iterations_remain;
if (iterations_remain == 0) {
loop_completed.Signal();
}
};
// Attempt to run in parallel, if busy run serial to avoid deadlocking.
ParallelInvokerThreadPool()->Schedule(loop_func);
}
// Wait on termination of all iterations.
loop_mutex.Lock();
while (iterations_remain > 0) {
loop_completed.Wait(&loop_mutex);
}
loop_mutex.Unlock();
break;
}
case PARALLEL_INVOKER_OPENMP: {
// Use thread-local copy of invoker.
Invoker local_invoker(invoker);
#pragma omp parallel for firstprivate(local_invoker) \
num_threads(flags_parallel_invoker_max_threads)
for (int y = start_row; y < end_row; ++y) {
local_invoker(BlockedRange2D(BlockedRange(y, y + 1, 1),
BlockedRange(start_col, end_col, 1)));
}
break;
}
case PARALLEL_INVOKER_NONE: {
SerialFor2D(start_row, end_row, start_col, end_col, grain_size, invoker);
break;
}
case PARALLEL_INVOKER_MAX_VALUE: {
LOG(FATAL) << "Impossible.";
break;
}
}
#else
SerialFor2D(start_row, end_row, start_col, end_col, grain_size, invoker);
#endif // PARALLEL_INVOKER_ACTIVE
}
} // namespace mediapipe
#endif // MEDIAPIPE_UTIL_TRACKING_PARALLEL_INVOKER_H_
|
3d7pt.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 7 point stencil
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
double ****A = (double ****) malloc(sizeof(double***)*2);
A[0] = (double ***) malloc(sizeof(double**)*Nz);
A[1] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[0][i] = (double**) malloc(sizeof(double*)*Ny);
A[1][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[0][i][j] = (double*) malloc(sizeof(double)*Nx);
A[1][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 24;
tile_size[1] = 24;
tile_size[2] = 16;
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;
const double alpha = 0.0876;
const double beta = 0.0765;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 2) && (Nx >= 3) && (Ny >= 3) && (Nz >= 3)) {
for (t1=-1;t1<=floord(Nt-2,12);t1++) {
lbp=max(ceild(t1,2),ceild(24*t1-Nt+3,24));
ubp=min(floord(Nt+Nz-4,24),floord(12*t1+Nz+9,24));
#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(3*t1-3,4)),ceild(24*t2-Nz-12,16));t3<=min(min(min(floord(Nt+Ny-4,16),floord(12*t1+Ny+21,16)),floord(24*t2+Ny+20,16)),floord(24*t1-24*t2+Nz+Ny+19,16));t3++) {
for (t4=max(max(max(0,ceild(3*t1-7,8)),ceild(24*t2-Nz-28,32)),ceild(16*t3-Ny-28,32));t4<=min(min(min(min(floord(Nt+Nx-4,32),floord(12*t1+Nx+21,32)),floord(24*t2+Nx+20,32)),floord(16*t3+Nx+12,32)),floord(24*t1-24*t2+Nz+Nx+19,32));t4++) {
for (t5=max(max(max(max(max(0,12*t1),24*t1-24*t2+1),24*t2-Nz+2),16*t3-Ny+2),32*t4-Nx+2);t5<=min(min(min(min(min(Nt-2,12*t1+23),24*t2+22),16*t3+14),32*t4+30),24*t1-24*t2+Nz+21);t5++) {
for (t6=max(max(24*t2,t5+1),-24*t1+24*t2+2*t5-23);t6<=min(min(24*t2+23,-24*t1+24*t2+2*t5),t5+Nz-2);t6++) {
for (t7=max(16*t3,t5+1);t7<=min(16*t3+15,t5+Ny-2);t7++) {
lbv=max(32*t4,t5+1);
ubv=min(32*t4+31,t5+Nx-2);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)] = ((alpha * A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8)]) + (beta * (((((A[ t5 % 2][ (-t5+t6) - 1][ (-t5+t7)][ (-t5+t8)] + A[ t5 % 2][ (-t5+t6)][ (-t5+t7) - 1][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) - 1]) + A[ t5 % 2][ (-t5+t6) + 1][ (-t5+t7)][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7) + 1][ (-t5+t8)]) + A[ t5 % 2][ (-t5+t6)][ (-t5+t7)][ (-t5+t8) + 1])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "constant")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays (Causing performance degradation
/* for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
*/
return 0;
}
|
NeuralNetwork_OMP_CPU3.c | /* NEURAL NETWORK OMP CPU3.c
* by Lut99
*
* Created:
* 4/18/2020, 11:25:46 PM
* Last edited:
* 19/11/2020, 17:18:23
* Auto updated?
* Yes
*
* Description:
* The NeuralNetwork class implements a matrix-based Feedforward Neural
* Network which is hardcoded to use Mean Squared Error for cost function and
* sigmoid as activation function.
*
* This file implements the third of eight different OpenMP-optimised
* versions for the CPU. It optimises both the forward and the backward pass
* using threads, where any race conditions in the backward pass are fixed
* in a reduction-like fashion.
**/
#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <string.h>
#include <sys/time.h>
#include "NeuralNetwork.h"
#define WEIGHTS_MIN -3.0
#define WEIGHTS_MAX 3.0
#define BIAS_MIN -3.0
#define BIAS_MAX 3.0
#define NUM_THREADS 16
/***** OPTIONAL PARAMETERS *****/
static unsigned int n_threads = 16;
/***** OPENMP DECLARATIONS *****/
extern int omp_set_num_threads();
extern int omp_get_num_procs();
extern int omp_get_thread_num();
/***** HELPER FUNCTIONS *****/
#define TIMEVAL_TO_MS(T_START, T_END) (((T_END.tv_sec - T_START.tv_sec) * 1000000 + (T_END.tv_usec - T_START.tv_usec)) / 1000000.0)
extern size_t max(size_t length, const size_t* list);
/***** NEURAL NETWORK OPERATIONS *****/
void nn_train(neural_net* nn, size_t n_samples, double** inputs, double** expected, double learning_rate, size_t n_iterations) {
#ifdef BENCHMARK
// Declare all timers
struct timeval s_total, e_total, s_iters, e_iters, s_fwd, e_fwd, s_bck_out, e_bck_out, s_bck_hid, e_bck_hid, s_upd, e_upd;
// Set some shortcuts for the timers
size_t half_iters = n_iterations / 2;
size_t half_samples = n_samples / 2;
// Start the total timer
gettimeofday(&s_total, NULL);
#endif
// Also obtain links to all biases / matrices
double** biases = nn->biases;
double** weights = nn->weights;
// Make some shortcuts for the number-of-nodes information
size_t n_layers = nn->n_layers;
size_t* nodes_per_layer = nn->nodes_per_layer;
// Initialize the temporary delta memory (and previous list) to the correct size, one for each thread
size_t deltas_size = max(n_layers, nodes_per_layer);
double* deltas = malloc(sizeof(double) * n_threads * deltas_size);
double* prev_deltas = malloc(sizeof(double) * n_threads * deltas_size);
// Create a list that is used to store intermediate outputs. The first input layer (=first column)
// is linked and not copied to the input data
double* layer_outputs[n_threads][n_layers];
for (size_t t = 0; t < n_threads; t++) {
// Allocate arrays for the other layers except the first as we link that one
for (size_t l = 1; l < n_layers; l++) {
layer_outputs[t][l] = malloc(sizeof(double) * nodes_per_layer[l]);
}
}
// Create the delta_biases and delta_weights arrays / matrices
double* delta_biases[n_samples][nn->n_weights];
double* delta_weights[n_samples][nn->n_weights];
for (size_t s = 0; s < n_samples; s++) {
for (size_t l = 0; l < nn->n_weights; l++) {
delta_biases[s][l] = malloc(sizeof(double) * nodes_per_layer[l + 1]);
delta_weights[s][l] = malloc(sizeof(double) * nodes_per_layer[l] * nodes_per_layer[l + 1]);
}
}
#ifdef BENCHMARK
// Start the iterations timer
gettimeofday(&s_iters, NULL);
#endif
// Perform the training for n_iterations (always)
size_t last_nodes = nodes_per_layer[n_layers - 1];
size_t last_prev_nodes = nodes_per_layer[n_layers - 2];
for (size_t i = 0; i < n_iterations; i++) {
#pragma omp parallel
{
int TID = omp_get_thread_num();
double* t_deltas = deltas + TID * deltas_size;
double* t_prev_deltas = prev_deltas + TID * deltas_size;
double** t_layer_outputs = layer_outputs[TID];
// Loop through all samples
#pragma omp for schedule(static)
for (size_t s = 0; s < n_samples; s++) {
/***** FORWARD PASS *****/
#ifdef BENCHMARK
// Start the forward pass timer
if (i == half_iters && s == half_samples) {
gettimeofday(&s_fwd, NULL);
}
#endif
// Set the inputs to the first layer output
t_layer_outputs[0] = inputs[s];
// Iterate over each layer to feedforward through the network
for (size_t l = 1; l < n_layers; l++) {
// Get some references to the bias list, weight matrix and outputs of the previous and this layer
double* bias = biases[l - 1];
double* weight = weights[l - 1];
double* prev_output = t_layer_outputs[l - 1];
double* output = t_layer_outputs[l];
// Compute the activation for each node on this layer
size_t this_nodes = nodes_per_layer[l];
size_t prev_nodes = nodes_per_layer[l - 1];
for (size_t n = 0; n < this_nodes; n++) {
// Sum the weighted inputs for this node
double z = bias[n];
for (size_t prev_n = 0; prev_n < prev_nodes; prev_n++) {
z += prev_output[prev_n] * weight[prev_n * this_nodes + n];
}
// Run the activation function over this input and store it in the output
output[n] = 1 / (1 + exp(-z));
}
}
#ifdef BENCHMARK
// End the forward timer, start the backward pass output timer
if (i == half_iters && s == half_samples) {
gettimeofday(&e_fwd, NULL);
gettimeofday(&s_bck_out, NULL);
}
#endif
/***** BACKWARD PASS *****/
// Implementation: https://towardsdatascience.com/simple-neural-network-implementation-in-c-663f51447547
// Backpropagate the error from the last layer to the first.
double* sample_expected = expected[s];
double* last_delta_bias = delta_biases[s][n_layers - 2];
double* last_delta_weight = delta_weights[s][n_layers - 2];
// Do the output layer: compute the deltas
double* output = t_layer_outputs[n_layers - 1];
for (size_t n = 0; n < last_nodes; n++) {
double output_val = output[n];
t_prev_deltas[n] = (sample_expected[n] - output_val) * output_val * (1 - output_val);
}
// Do the output layer: compute the bias & weight updates
// Add all deltas as delta_biases for this layer
for (size_t n = 0; n < last_nodes; n++) {
last_delta_bias[n] = t_prev_deltas[n];
}
// Same for all the weights, except we compute the delta_weights first
double* last_prev_output = t_layer_outputs[n_layers - 2];
for (size_t prev_n = 0; prev_n < last_prev_nodes; prev_n++) {
for (size_t n = 0; n < last_nodes; n++) {
last_delta_weight[prev_n * last_nodes + n] = last_prev_output[prev_n] * t_prev_deltas[n];
}
}
#ifdef BENCHMARK
// End the backward pass output timer, start the backward pass hidden timer
if (i == half_iters && s == half_samples) {
gettimeofday(&e_bck_out, NULL);
gettimeofday(&s_bck_hid, NULL);
}
#endif
// Then, the rest of the hidden layers
for (size_t l = n_layers - 2; l > 0; l--) {
double* delta_bias = delta_biases[s][l - 1];
double* delta_weight = delta_weights[s][l - 1];
double* output = t_layer_outputs[l];
double* prev_output = t_layer_outputs[l - 1];
size_t next_nodes = nodes_per_layer[l + 1];
size_t this_nodes = nodes_per_layer[l];
size_t prev_nodes = nodes_per_layer[l - 1];
// Loop through all nodes in this layer to compute their deltas by summing all deltas of the next layer in a weighted fashion
double* weight_next = weights[l];
for (size_t n = 0; n < this_nodes; n++) {
// Take the weighted sum of all connection of that node with this layer
double error = 0;
for (size_t next_n = 0; next_n < next_nodes; next_n++) {
error += t_prev_deltas[next_n] * weight_next[n * next_nodes + next_n];
}
// Multiply the error with the derivative of the activation function to find the result
double output_val = output[n];
t_deltas[n] = error * output_val * (1 - output_val);
}
// Add all deltas as delta_biases for this layer
for (size_t n = 0; n < this_nodes; n++) {
delta_bias[n] = t_deltas[n];
}
// Same for all the weights, except we compute the delta_weights first
for (size_t prev_n = 0; prev_n < prev_nodes; prev_n++) {
for (size_t n = 0; n < this_nodes; n++) {
delta_weight[prev_n * this_nodes + n] = prev_output[prev_n] * t_deltas[n];
}
}
// Swap the two delta lists
double* temp = t_deltas;
t_deltas = t_prev_deltas;
t_prev_deltas = temp;
}
#ifdef BENCHMARK
// End the backward pass hidden timer
if (i == half_iters && s == half_samples) {
gettimeofday(&e_bck_hid, NULL);
}
#endif
}
#ifdef BENCHMARK
// Start the updates timer
if (i == half_iters) {
gettimeofday(&s_upd, NULL);
}
#endif
// Actually update the weights, and reset the delta updates to 0 for next iteration
#pragma omp for schedule(static) collapse(2)
for (size_t s = 0; s < n_samples; s++) {
for (size_t l = 0; l < nn->n_weights; l++) {
double* bias = biases[l];
double* delta_bias = delta_biases[s][l];
double* weight = weights[l];
double* delta_weight = delta_weights[s][l];
// Update the biases & reset delta_biases
size_t this_nodes = nodes_per_layer[l + 1];
for (size_t n = 0; n < this_nodes; n++) {
bias[n] += delta_bias[n] * learning_rate;
delta_bias[n] = 0;
}
// Update the weights & reset delta_weights
size_t prev_nodes = nodes_per_layer[l];
for (size_t i = 0; i < this_nodes * prev_nodes; i++) {
weight[i] += delta_weight[i] * learning_rate;
delta_weight[i] = 0;
}
}
}
#ifdef BENCHMARK
// Stop the updates timer
if (i == half_iters) {
gettimeofday(&e_upd, NULL);
}
#endif
}
}
#ifdef BENCHMARK
// End the iterations timer
gettimeofday(&e_iters, NULL);
#endif
// Cleanup
// Free the delta biases / weights
for(size_t s = 0; s < n_samples; s++) {
for(size_t l = 0; l < n_layers - 1; l++) {
free(delta_biases[s][l]);
free(delta_weights[s][l]);
}
}
// Free the layer_outputs (skip the first, as these merely link the input rather than copy 'em)
for (size_t t = 0; t < n_threads; t++) {
for (size_t l = 1; l < n_layers; l++) {
free(layer_outputs[t][l]);
}
}
// Cleanup the deltas
free(deltas);
free(prev_deltas);
#ifdef BENCHMARK
// End the total timer
gettimeofday(&e_total, NULL);
// Print the results
printf("%f\n", TIMEVAL_TO_MS(s_total, e_total));
printf("%f\n", TIMEVAL_TO_MS(s_iters, e_iters));
printf("%f\n", TIMEVAL_TO_MS(s_fwd, e_fwd));
printf("%f\n", TIMEVAL_TO_MS(s_bck_out, e_bck_out));
printf("%f\n", TIMEVAL_TO_MS(s_bck_hid, e_bck_hid));
printf("%f\n", TIMEVAL_TO_MS(s_upd, e_upd));
#endif
}
/***** OTHER TOOLS *****/
void parse_opt_args(int argc, char** argv) {
// Parse and set number of threads as first argument
if (argc >= 1) {
// Set the number of threads
n_threads = atoi(argv[0]);
}
omp_set_num_threads(n_threads);
}
void print_opt_args() {
printf(" - Variation : OpenMP CPU 3 (Forward & Backward, reduction)\n");
printf(" - Number of threads : %u\n", n_threads);
}
|
ten_tusscher_2004_epi_S1_5.c | //Original Ten Tusscher
#include <assert.h>
#include <stdlib.h>
#include "ten_tusscher_2004_epi_S1_5.h"
GET_CELL_MODEL_DATA(init_cell_model_data) {
assert(cell_model);
if(get_initial_v)
cell_model->initial_v = INITIAL_V;
if(get_neq)
cell_model->number_of_ode_equations = NEQ;
}
//TODO: this should be called only once for the whole mesh, like in the GPU code
SET_ODE_INITIAL_CONDITIONS_CPU(set_model_initial_conditions_cpu) {
// Default initial conditions
/*
sv[0] = INITIAL_V; // V; millivolt
sv[1] = 0.f; //M
sv[2] = 0.75; //H
sv[3] = 0.75f; //J
sv[4] = 0.f; //Xr1
sv[5] = 1.f; //Xr2
sv[6] = 0.f; //Xs
sv[7] = 1.f; //S
sv[8] = 0.f; //R
sv[9] = 0.f; //D
sv[10] = 1.f; //F
sv[11] = 1.f; //FCa
sv[12] = 1.f; //G
sv[13] = 0.0002; //Cai
sv[14] = 0.2f; //CaSR
sv[15] = 11.6f; //Nai
sv[16] = 138.3f; //Ki
*/
// Elnaz's steady-state initial conditions
real sv_sst[]={-86.6880446253658,0.00125748326662192,0.782630860941001,0.782399247016589,0.000171805994132443,0.486336701083246,0.00291533408331613,0.999998387847902,1.89530036405156e-08,1.86110630763852e-05,0.999771863293389,1.00763534787491,0.999999376554314,3.23201451342761e-05,0.778783481229109,9.83430442797094,139.599986144533};
for (uint32_t i = 0; i < NEQ; i++)
sv[i] = sv_sst[i];
}
SOLVE_MODEL_ODES_CPU(solve_model_odes_cpu) {
uint32_t sv_id;
int i;
#pragma omp parallel for private(sv_id)
for (i = 0; i < num_cells_to_solve; i++) {
if(cells_to_solve)
sv_id = cells_to_solve[i];
else
sv_id = i;
for (int j = 0; j < num_steps; ++j) {
solve_model_ode_cpu(dt, sv + (sv_id * NEQ), stim_currents[i]);
}
}
}
void solve_model_ode_cpu(real dt, real *sv, real stim_current) {
assert(sv);
real rY[NEQ], rDY[NEQ];
for(int i = 0; i < NEQ; i++)
rY[i] = sv[i];
RHS_cpu(rY, rDY, stim_current, dt);
for(int i = 0; i < NEQ; i++)
sv[i] = rDY[i];
}
void RHS_cpu(const real *sv, real *rDY_, real stim_current, real dt) {
// State variables
real svolt = sv[0];
real sm = sv[1];
real sh = sv[2];
real sj = sv[3];
real sxr1 = sv[4];
real sxr2 = sv[5];
real sxs = sv[6];
real ss = sv[7];
real sr = sv[8];
real sd = sv[9];
real sf = sv[10];
real sfca = sv[11];
real sg = sv[12];
real Cai = sv[13];
real CaSR = sv[14];
real Nai = sv[15];
real Ki = sv[16];
//External concentrations
real Ko=5.4;
real Cao=2.0;
real Nao=140.0;
//Intracellular volumes
real Vc=0.016404;
real Vsr=0.001094;
//Calcium dynamics
real Bufc=0.15f;
real Kbufc=0.001f;
real Bufsr=10.f;
real Kbufsr=0.3f;
real taufca=2.f;
real taug=2.f;
real Vmaxup=0.000425f;
real Kup=0.00025f;
//Constants
const real R = 8314.472f;
const real F = 96485.3415f;
const real T =310.0f;
real RTONF =(R*T)/F;
//Cellular capacitance
real CAPACITANCE=0.185;
//Parameters for currents
//Parameters for IKr
real Gkr=0.096;
//Parameters for Iks
real pKNa=0.03;
///#ifdef EPI
real Gks=0.245;
///#endif
///#ifdef ENDO
/// real Gks=0.245;
///#endif
///#ifdef MCELL
/// real Gks=0.062;
///#endif
//Parameters for Ik1
real GK1=5.405;
//Parameters for Ito
//#ifdef EPI
real Gto=0.294;
//#endif
// #ifdef ENDO
// real Gto=0.073;
//#endif
//#ifdef MCELL
// real Gto=0.294;
///#endif
//Parameters for INa
real GNa=14.838;
//Parameters for IbNa
real GbNa=0.00029;
//Parameters for INaK
real KmK=1.0;
real KmNa=40.0;
real knak=1.362;
//Parameters for ICaL
real GCaL=0.000175;
//Parameters for IbCa
real GbCa=0.000592;
//Parameters for INaCa
real knaca=1000;
real KmNai=87.5;
real KmCa=1.38;
real ksat=0.1;
real n=0.35;
//Parameters for IpCa
real GpCa=0.825;
real KpCa=0.0005;
//Parameters for IpK;
real GpK=0.0146;
real parameters []={14.0289144242720,0.000312520083267775,0.000172516588156547,0.000423156343342324,0.292594058953883,0.187210180830377,0.140760932670556,3.33202996756470,0.0168705003140195,1.86294307706617,1087.32533265941,0.000454183662956629,0.502574880649717,0.0199174549938367,0.00451892682878852,1.20599840550585e-05};
GNa=parameters[0];
GbNa=parameters[1];
GCaL=parameters[2];
GbCa=parameters[3];
Gto=parameters[4];
Gkr=parameters[5];
Gks=parameters[6];
GK1=parameters[7];
GpK=parameters[8];
knak=parameters[9];
knaca=parameters[10];
Vmaxup=parameters[11];
GpCa=parameters[12];
real arel=parameters[13];
real crel=parameters[14];
real Vleak=parameters[15];
real IKr;
real IKs;
real IK1;
real Ito;
real INa;
real IbNa;
real ICaL;
real IbCa;
real INaCa;
real IpCa;
real IpK;
real INaK;
real Irel;
real Ileak;
real dNai;
real dKi;
real dCai;
real dCaSR;
real A;
// real BufferFactorc;
// real BufferFactorsr;
real SERCA;
real Caisquare;
real CaSRsquare;
real CaCurrent;
real CaSRCurrent;
real fcaold;
real gold;
real Ek;
real Ena;
real Eks;
real Eca;
real CaCSQN;
real bjsr;
real cjsr;
real CaBuf;
real bc;
real cc;
real Ak1;
real Bk1;
real rec_iK1;
real rec_ipK;
real rec_iNaK;
real AM;
real BM;
real AH_1;
real BH_1;
real AH_2;
real BH_2;
real AJ_1;
real BJ_1;
real AJ_2;
real BJ_2;
real M_INF;
real H_INF;
real J_INF;
real TAU_M;
real TAU_H;
real TAU_J;
real axr1;
real bxr1;
real axr2;
real bxr2;
real Xr1_INF;
real Xr2_INF;
real TAU_Xr1;
real TAU_Xr2;
real Axs;
real Bxs;
real Xs_INF;
real TAU_Xs;
real R_INF;
real TAU_R;
real S_INF;
real TAU_S;
real Ad;
real Bd;
real Cd;
real TAU_D;
real D_INF;
real TAU_F;
real F_INF;
real FCa_INF;
real G_INF;
real inverseVcF2=1/(2*Vc*F);
real inverseVcF=1./(Vc*F);
real Kupsquare=Kup*Kup;
// real BufcKbufc=Bufc*Kbufc;
// real Kbufcsquare=Kbufc*Kbufc;
// real Kbufc2=2*Kbufc;
// real BufsrKbufsr=Bufsr*Kbufsr;
// const real Kbufsrsquare=Kbufsr*Kbufsr;
// const real Kbufsr2=2*Kbufsr;
const real exptaufca=exp(-dt/taufca);
const real exptaug=exp(-dt/taug);
real sItot;
//Needed to compute currents
Ek=RTONF*(log((Ko/Ki)));
Ena=RTONF*(log((Nao/Nai)));
Eks=RTONF*(log((Ko+pKNa*Nao)/(Ki+pKNa*Nai)));
Eca=0.5*RTONF*(log((Cao/Cai)));
Ak1=0.1/(1.+exp(0.06*(svolt-Ek-200)));
Bk1=(3.*exp(0.0002*(svolt-Ek+100))+
exp(0.1*(svolt-Ek-10)))/(1.+exp(-0.5*(svolt-Ek)));
rec_iK1=Ak1/(Ak1+Bk1);
rec_iNaK=(1./(1.+0.1245*exp(-0.1*svolt*F/(R*T))+0.0353*exp(-svolt*F/(R*T))));
rec_ipK=1./(1.+exp((25-svolt)/5.98));
//Compute currents
INa=GNa*sm*sm*sm*sh*sj*(svolt-Ena);
ICaL=GCaL*sd*sf*sfca*4*svolt*(F*F/(R*T))*
(exp(2*svolt*F/(R*T))*Cai-0.341*Cao)/(exp(2*svolt*F/(R*T))-1.);
Ito=Gto*sr*ss*(svolt-Ek);
IKr=Gkr*sqrt(Ko/5.4)*sxr1*sxr2*(svolt-Ek);
IKs=Gks*sxs*sxs*(svolt-Eks);
IK1=GK1*rec_iK1*(svolt-Ek);
INaCa=knaca*(1./(KmNai*KmNai*KmNai+Nao*Nao*Nao))*(1./(KmCa+Cao))*
(1./(1+ksat*exp((n-1)*svolt*F/(R*T))))*
(exp(n*svolt*F/(R*T))*Nai*Nai*Nai*Cao-
exp((n-1)*svolt*F/(R*T))*Nao*Nao*Nao*Cai*2.5);
INaK=knak*(Ko/(Ko+KmK))*(Nai/(Nai+KmNa))*rec_iNaK;
IpCa=GpCa*Cai/(KpCa+Cai);
IpK=GpK*rec_ipK*(svolt-Ek);
IbNa=GbNa*(svolt-Ena);
IbCa=GbCa*(svolt-Eca);
//Determine total current
(sItot) = IKr +
IKs +
IK1 +
Ito +
INa +
IbNa +
ICaL +
IbCa +
INaK +
INaCa +
IpCa +
IpK +
stim_current;
//update concentrations
Caisquare=Cai*Cai;
CaSRsquare=CaSR*CaSR;
CaCurrent=-(ICaL+IbCa+IpCa-2.0f*INaCa)*inverseVcF2*CAPACITANCE;
///A=0.016464f*CaSRsquare/(0.0625f+CaSRsquare)+0.008232f;
A=arel*CaSRsquare/(0.0625f+CaSRsquare)+crel;
Irel=A*sd*sg;
///Ileak=0.00008f*(CaSR-Cai);
Ileak=Vleak*(CaSR-Cai);
SERCA=Vmaxup/(1.f+(Kupsquare/Caisquare));
CaSRCurrent=SERCA-Irel-Ileak;
CaCSQN=Bufsr*CaSR/(CaSR+Kbufsr);
dCaSR=dt*(Vc/Vsr)*CaSRCurrent;
bjsr=Bufsr-CaCSQN-dCaSR-CaSR+Kbufsr;
cjsr=Kbufsr*(CaCSQN+dCaSR+CaSR);
CaSR=(sqrt(bjsr*bjsr+4.*cjsr)-bjsr)/2.;
CaBuf=Bufc*Cai/(Cai+Kbufc);
dCai=dt*(CaCurrent-CaSRCurrent);
bc=Bufc-CaBuf-dCai-Cai+Kbufc;
cc=Kbufc*(CaBuf+dCai+Cai);
Cai=(sqrt(bc*bc+4*cc)-bc)/2;
dNai=-(INa+IbNa+3*INaK+3*INaCa)*inverseVcF*CAPACITANCE;
Nai+=dt*dNai;
dKi=-(stim_current+IK1+Ito+IKr+IKs-2*INaK+IpK)*inverseVcF*CAPACITANCE;
Ki+=dt*dKi;
//compute steady state values and time constants
AM=1./(1.+exp((-60.-svolt)/5.));
BM=0.1/(1.+exp((svolt+35.)/5.))+0.10/(1.+exp((svolt-50.)/200.));
TAU_M=AM*BM;
M_INF=1./((1.+exp((-56.86-svolt)/9.03))*(1.+exp((-56.86-svolt)/9.03)));
if (svolt>=-40.)
{
AH_1=0.;
BH_1=(0.77/(0.13*(1.+exp(-(svolt+10.66)/11.1))));
TAU_H= 1.0/(AH_1+BH_1);
}
else
{
AH_2=(0.057*exp(-(svolt+80.)/6.8));
BH_2=(2.7*exp(0.079*svolt)+(3.1e5)*exp(0.3485*svolt));
TAU_H=1.0/(AH_2+BH_2);
}
H_INF=1./((1.+exp((svolt+71.55)/7.43))*(1.+exp((svolt+71.55)/7.43)));
if(svolt>=-40.)
{
AJ_1=0.;
BJ_1=(0.6*exp((0.057)*svolt)/(1.+exp(-0.1*(svolt+32.))));
TAU_J= 1.0/(AJ_1+BJ_1);
}
else
{
AJ_2=(((-2.5428e4)*exp(0.2444*svolt)-(6.948e-6)*
exp(-0.04391*svolt))*(svolt+37.78)/
(1.+exp(0.311*(svolt+79.23))));
BJ_2=(0.02424*exp(-0.01052*svolt)/(1.+exp(-0.1378*(svolt+40.14))));
TAU_J= 1.0/(AJ_2+BJ_2);
}
J_INF=H_INF;
Xr1_INF=1./(1.+exp((-26.-svolt)/7.));
axr1=450./(1.+exp((-45.-svolt)/10.));
bxr1=6./(1.+exp((svolt-(-30.))/11.5));
TAU_Xr1=axr1*bxr1;
Xr2_INF=1./(1.+exp((svolt-(-88.))/24.));
axr2=3./(1.+exp((-60.-svolt)/20.));
bxr2=1.12/(1.+exp((svolt-60.)/20.));
TAU_Xr2=axr2*bxr2;
Xs_INF=1./(1.+exp((-5.-svolt)/14.));
Axs=1100./(sqrt(1.+exp((-10.-svolt)/6)));
Bxs=1./(1.+exp((svolt-60.)/20.));
TAU_Xs=Axs*Bxs;
#ifdef EPI
R_INF=1./(1.+exp((20-svolt)/6.));
S_INF=1./(1.+exp((svolt+20)/5.));
TAU_R=9.5*exp(-(svolt+40.)*(svolt+40.)/1800.)+0.8;
TAU_S=85.*exp(-(svolt+45.)*(svolt+45.)/320.)+5./(1.+exp((svolt-20.)/5.))+3.;
#endif
#ifdef ENDO
R_INF=1./(1.+exp((20-svolt)/6.));
S_INF=1./(1.+exp((svolt+28)/5.));
TAU_R=9.5*exp(-(svolt+40.)*(svolt+40.)/1800.)+0.8;
TAU_S=1000.*exp(-(svolt+67)*(svolt+67)/1000.)+8.;
#endif
#ifdef MCELL
R_INF=1./(1.+exp((20-svolt)/6.));
S_INF=1./(1.+exp((svolt+20)/5.));
TAU_R=9.5*exp(-(svolt+40.)*(svolt+40.)/1800.)+0.8;
TAU_S=85.*exp(-(svolt+45.)*(svolt+45.)/320.)+5./(1.+exp((svolt-20.)/5.))+3.;
#endif
D_INF=1./(1.+exp((-5-svolt)/7.5));
Ad=1.4/(1.+exp((-35-svolt)/13))+0.25;
Bd=1.4/(1.+exp((svolt+5)/5));
Cd=1./(1.+exp((50-svolt)/20));
TAU_D=Ad*Bd+Cd;
F_INF=1./(1.+exp((svolt+20)/7));
TAU_F=1125*exp(-(svolt+27)*(svolt+27)/240)+80+165/(1.+exp((25-svolt)/10));
FCa_INF=(1./(1.+pow((Cai/0.000325),8))+
0.1/(1.+exp((Cai-0.0005)/0.0001))+
0.20/(1.+exp((Cai-0.00075)/0.0008))+
0.23 )/1.46;
if(Cai<0.00035)
G_INF=1./(1.+pow((Cai/0.00035),6));
else
G_INF=1./(1.+pow((Cai/0.00035),16));
//Update gates
rDY_[1] = M_INF-(M_INF-sm)*exp(-dt/TAU_M);
rDY_[2] = H_INF-(H_INF-sh)*exp(-dt/TAU_H);
rDY_[3] = J_INF-(J_INF-sj)*exp(-dt/TAU_J);
rDY_[4] = Xr1_INF-(Xr1_INF-sxr1)*exp(-dt/TAU_Xr1);
rDY_[5] = Xr2_INF-(Xr2_INF-sxr2)*exp(-dt/TAU_Xr2);
rDY_[6] = Xs_INF-(Xs_INF-sxs)*exp(-dt/TAU_Xs);
rDY_[7] = S_INF-(S_INF-ss)*exp(-dt/TAU_S);
rDY_[8] = R_INF-(R_INF-sr)*exp(-dt/TAU_R);
rDY_[9] = D_INF-(D_INF-sd)*exp(-dt/TAU_D);
rDY_[10] = F_INF-(F_INF-sf)*exp(-dt/TAU_F);
fcaold= sfca;
sfca = FCa_INF-(FCa_INF-sfca)*exptaufca;
if(sfca>fcaold && (svolt)>-37.0)
sfca = fcaold;
gold = sg;
sg = G_INF-(G_INF-sg)*exptaug;
if(sg>gold && (svolt)>-37.0)
sg=gold;
//update voltage
rDY_[0] = svolt + dt*(-sItot);
rDY_[11] = sfca;
rDY_[12] = sg;
rDY_[13] = Cai;
rDY_[14] = CaSR;
rDY_[15] = Nai;
rDY_[16] = Ki;
}
|
GB_subassign_08s_and_16.c | //------------------------------------------------------------------------------
// GB_subassign_08s_and_16: C(I,J)<M or !M> += A ; using S
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// Method 08s: C(I,J)<M> += A ; using S
// Method 16: C(I,J)<!M> += A ; using S
// M: present
// Mask_comp: true or false
// C_replace: false
// accum: present
// A: matrix
// S: constructed
// C: not bitmap: use GB_bitmap_assign instead
// M, A: any sparsity structure.
#include "GB_subassign_methods.h"
GrB_Info GB_subassign_08s_and_16
(
GrB_Matrix C,
// input:
const GrB_Index *I,
const int64_t ni,
const int64_t nI,
const int Ikind,
const int64_t Icolon [3],
const GrB_Index *J,
const int64_t nj,
const int64_t nJ,
const int Jkind,
const int64_t Jcolon [3],
const GrB_Matrix M,
const bool Mask_struct, // if true, use the only structure of M
const bool Mask_comp, // if true, !M, else use M
const GrB_BinaryOp accum,
const GrB_Matrix A,
GB_Context Context
)
{
//--------------------------------------------------------------------------
// check inputs
//--------------------------------------------------------------------------
ASSERT (!GB_IS_BITMAP (C)) ;
ASSERT (!GB_aliased (C, M)) ; // NO ALIAS of C==M
ASSERT (!GB_aliased (C, A)) ; // NO ALIAS of C==A
//--------------------------------------------------------------------------
// S = C(I,J)
//--------------------------------------------------------------------------
GB_EMPTY_TASKLIST ;
GB_OK (GB_subassign_symbolic (S, C, I, ni, J, nj, true, Context)) ;
//--------------------------------------------------------------------------
// get inputs
//--------------------------------------------------------------------------
GB_MATRIX_WAIT_IF_JUMBLED (M) ;
GB_MATRIX_WAIT_IF_JUMBLED (A) ;
GB_GET_C ; // C must not be bitmap
GB_GET_MASK ;
GB_GET_A ;
GB_GET_S ;
GB_GET_ACCUM ;
//--------------------------------------------------------------------------
// Method 16: C(I,J)<!M> += A ; using S
//--------------------------------------------------------------------------
// Time: Close to optimal. All entries in A+S must be traversed.
//--------------------------------------------------------------------------
// Method 08s: C(I,J)<M> += A ; using S
//--------------------------------------------------------------------------
// Time: Only entries in A must be traversed, and the corresponding entries
// in C located. This method constructs S and traverses all of it in the
// worst case. Compare with method 08n, which does not construct S but
// instead uses a binary search for entries in C, but it only traverses
// entries in A.*M.
//--------------------------------------------------------------------------
// Parallel: A+S (Methods 02, 04, 09, 10, 11, 12, 14, 16, 18, 20)
//--------------------------------------------------------------------------
if (A_is_bitmap)
{
// all of IxJ must be examined
GB_SUBASSIGN_IXJ_SLICE ;
}
else
{
// traverse all A+S
GB_SUBASSIGN_TWO_SLICE (A, S) ;
}
//--------------------------------------------------------------------------
// phase 1: create zombies, update entries, and count pending tuples
//--------------------------------------------------------------------------
if (A_is_bitmap)
{
//----------------------------------------------------------------------
// phase1: A is bitmap
//----------------------------------------------------------------------
#pragma omp parallel for num_threads(nthreads) schedule(dynamic,1) \
reduction(+:nzombies)
for (taskid = 0 ; taskid < ntasks ; taskid++)
{
//------------------------------------------------------------------
// get the task descriptor
//------------------------------------------------------------------
GB_GET_IXJ_TASK_DESCRIPTOR_PHASE1 (iA_start, iA_end) ;
//------------------------------------------------------------------
// compute all vectors in this task
//------------------------------------------------------------------
for (int64_t j = kfirst ; j <= klast ; j++)
{
//--------------------------------------------------------------
// get S(iA_start:iA_end,j)
//--------------------------------------------------------------
GB_GET_VECTOR_FOR_IXJ (S, iA_start) ;
int64_t pA_start = j * Avlen ;
//--------------------------------------------------------------
// get M(:,j)
//--------------------------------------------------------------
int64_t pM_start, pM_end ;
GB_VECTOR_LOOKUP (pM_start, pM_end, M, j) ;
bool mjdense = (pM_end - pM_start) == Mvlen ;
//--------------------------------------------------------------
// do a 2-way merge of S(iA_start:iA_end,j) and A(ditto,j)
//--------------------------------------------------------------
for (int64_t iA = iA_start ; iA < iA_end ; iA++)
{
int64_t pA = pA_start + iA ;
bool Sfound = (pS < pS_end) && (GBI (Si, pS, Svlen) == iA) ;
bool Afound = Ab [pA] ;
if (Sfound && !Afound)
{
// S (i,j) is present but A (i,j) is not
// ----[C . 1] or [X . 1]-------------------------------
// [C . 1]: action: ( C ): no change, with accum
// [X . 1]: action: ( X ): still a zombie
// ----[C . 0] or [X . 0]-------------------------------
// [C . 0]: action: ( C ): no change, with accum
// [X . 0]: action: ( X ): still a zombie
GB_NEXT (S) ;
}
else if (!Sfound && Afound)
{
// S (i,j) is not present, A (i,j) is present
GB_MIJ_BINARY_SEARCH_OR_DENSE_LOOKUP (iA) ;
if (Mask_comp) mij = !mij ;
if (mij)
{
// ----[. A 1]--------------------------------------
// [. A 1]: action: ( insert )
task_pending++ ;
}
}
else if (Sfound && Afound)
{
// both S (i,j) and A (i,j) present
GB_MIJ_BINARY_SEARCH_OR_DENSE_LOOKUP (iA) ;
if (Mask_comp) mij = !mij ;
if (mij)
{
// ----[C A 1] or [X A 1]---------------------------
// [C A 1]: action: ( =A ): A to C no accum
// [C A 1]: action: ( =C+A ): apply accum
// [X A 1]: action: ( undelete ): zombie lives
GB_C_S_LOOKUP ;
GB_withaccum_C_A_1_matrix ;
}
GB_NEXT (S) ;
}
}
}
GB_PHASE1_TASK_WRAPUP ;
}
}
else
{
//----------------------------------------------------------------------
// phase1: A is hypersparse, sparse, or full
//----------------------------------------------------------------------
#pragma omp parallel for num_threads(nthreads) schedule(dynamic,1) \
reduction(+:nzombies)
for (taskid = 0 ; taskid < ntasks ; taskid++)
{
//------------------------------------------------------------------
// get the task descriptor
//------------------------------------------------------------------
GB_GET_TASK_DESCRIPTOR_PHASE1 ;
//------------------------------------------------------------------
// compute all vectors in this task
//------------------------------------------------------------------
for (int64_t k = kfirst ; k <= klast ; k++)
{
//--------------------------------------------------------------
// get A(:,j) and S(:,j)
//--------------------------------------------------------------
int64_t j = GBH (Zh, k) ;
GB_GET_MAPPED (pA, pA_end, pA, pA_end, Ap, j, k, Z_to_X, Avlen);
GB_GET_MAPPED (pS, pS_end, pB, pB_end, Sp, j, k, Z_to_S, Svlen);
//--------------------------------------------------------------
// get M(:,j)
//--------------------------------------------------------------
int64_t pM_start, pM_end ;
GB_VECTOR_LOOKUP (pM_start, pM_end, M, j) ;
bool mjdense = (pM_end - pM_start) == Mvlen ;
//--------------------------------------------------------------
// do a 2-way merge of S(:,j) and A(:,j)
//--------------------------------------------------------------
// jC = J [j] ; or J is a colon expression
// int64_t jC = GB_ijlist (J, j, Jkind, Jcolon) ;
// while both list S (:,j) and A (:,j) have entries
while (pS < pS_end && pA < pA_end)
{
int64_t iS = GBI (Si, pS, Svlen) ;
int64_t iA = GBI (Ai, pA, Avlen) ;
if (iS < iA)
{
// S (i,j) is present but A (i,j) is not
// ----[C . 1] or [X . 1]-------------------------------
// [C . 1]: action: ( C ): no change, with accum
// [X . 1]: action: ( X ): still a zombie
// ----[C . 0] or [X . 0]-------------------------------
// [C . 0]: action: ( C ): no change, with accum
// [X . 0]: action: ( X ): still a zombie
GB_NEXT (S) ;
}
else if (iA < iS)
{
// S (i,j) is not present, A (i,j) is present
GB_MIJ_BINARY_SEARCH_OR_DENSE_LOOKUP (iA) ;
if (Mask_comp) mij = !mij ;
if (mij)
{
// ----[. A 1]--------------------------------------
// [. A 1]: action: ( insert )
task_pending++ ;
}
GB_NEXT (A) ;
}
else
{
// both S (i,j) and A (i,j) present
GB_MIJ_BINARY_SEARCH_OR_DENSE_LOOKUP (iA) ;
if (Mask_comp) mij = !mij ;
if (mij)
{
// ----[C A 1] or [X A 1]---------------------------
// [C A 1]: action: ( =A ): A to C no accum
// [C A 1]: action: ( =C+A ): apply accum
// [X A 1]: action: ( undelete ): zombie lives
GB_C_S_LOOKUP ;
GB_withaccum_C_A_1_matrix ;
}
GB_NEXT (S) ;
GB_NEXT (A) ;
}
}
// ignore the remainder of S(:,j)
// while list A (:,j) has entries. List S (:,j) exhausted.
while (pA < pA_end)
{
// S (i,j) is not present, A (i,j) is present
int64_t iA = GBI (Ai, pA, Avlen) ;
GB_MIJ_BINARY_SEARCH_OR_DENSE_LOOKUP (iA) ;
if (Mask_comp) mij = !mij ;
if (mij)
{
// ----[. A 1]------------------------------------------
// [. A 1]: action: ( insert )
task_pending++ ;
}
GB_NEXT (A) ;
}
}
GB_PHASE1_TASK_WRAPUP ;
}
}
//--------------------------------------------------------------------------
// phase 2: insert pending tuples
//--------------------------------------------------------------------------
GB_PENDING_CUMSUM ;
if (A_is_bitmap)
{
//----------------------------------------------------------------------
// phase2: A is bitmap
//----------------------------------------------------------------------
#pragma omp parallel for num_threads(nthreads) schedule(dynamic,1) \
reduction(&&:pending_sorted)
for (taskid = 0 ; taskid < ntasks ; taskid++)
{
//------------------------------------------------------------------
// get the task descriptor
//------------------------------------------------------------------
GB_GET_IXJ_TASK_DESCRIPTOR_PHASE2 (iA_start, iA_end) ;
//------------------------------------------------------------------
// compute all vectors in this task
//------------------------------------------------------------------
for (int64_t j = kfirst ; j <= klast ; j++)
{
//--------------------------------------------------------------
// get S(iA_start:iA_end,j)
//--------------------------------------------------------------
GB_GET_VECTOR_FOR_IXJ (S, iA_start) ;
int64_t pA_start = j * Avlen ;
//--------------------------------------------------------------
// get M(:,j)
//--------------------------------------------------------------
int64_t pM_start, pM_end ;
GB_VECTOR_LOOKUP (pM_start, pM_end, M, j) ;
bool mjdense = (pM_end - pM_start) == Mvlen ;
//--------------------------------------------------------------
// do a 2-way merge of S(iA_start:iA_end,j) and A(ditto,j)
//--------------------------------------------------------------
// jC = J [j] ; or J is a colon expression
int64_t jC = GB_ijlist (J, j, Jkind, Jcolon) ;
for (int64_t iA = iA_start ; iA < iA_end ; iA++)
{
int64_t pA = pA_start + iA ;
bool Sfound = (pS < pS_end) && (GBI (Si, pS, Svlen) == iA) ;
bool Afound = Ab [pA] ;
if (!Sfound && Afound)
{
// S (i,j) is not present, A (i,j) is present
GB_MIJ_BINARY_SEARCH_OR_DENSE_LOOKUP (iA) ;
if (Mask_comp) mij = !mij ;
if (mij)
{
// ----[. A 1]--------------------------------------
// [. A 1]: action: ( insert )
int64_t iC = GB_ijlist (I, iA, Ikind, Icolon) ;
GB_PENDING_INSERT_aij ;
}
}
else if (Sfound)
{
// S (i,j) present
GB_NEXT (S) ;
}
}
}
GB_PHASE2_TASK_WRAPUP ;
}
}
else
{
//----------------------------------------------------------------------
// phase2: A is hypersparse, sparse, or full
//----------------------------------------------------------------------
#pragma omp parallel for num_threads(nthreads) schedule(dynamic,1) \
reduction(&&:pending_sorted)
for (taskid = 0 ; taskid < ntasks ; taskid++)
{
//------------------------------------------------------------------
// get the task descriptor
//------------------------------------------------------------------
GB_GET_TASK_DESCRIPTOR_PHASE2 ;
//------------------------------------------------------------------
// compute all vectors in this task
//------------------------------------------------------------------
for (int64_t k = kfirst ; k <= klast ; k++)
{
//--------------------------------------------------------------
// get A(:,j) and S(:,j)
//--------------------------------------------------------------
int64_t j = GBH (Zh, k) ;
GB_GET_MAPPED (pA, pA_end, pA, pA_end, Ap, j, k, Z_to_X, Avlen);
GB_GET_MAPPED (pS, pS_end, pB, pB_end, Sp, j, k, Z_to_S, Svlen);
//--------------------------------------------------------------
// get M(:,j)
//--------------------------------------------------------------
int64_t pM_start, pM_end ;
GB_VECTOR_LOOKUP (pM_start, pM_end, M, j) ;
bool mjdense = (pM_end - pM_start) == Mvlen ;
//--------------------------------------------------------------
// do a 2-way merge of S(:,j) and A(:,j)
//--------------------------------------------------------------
// jC = J [j] ; or J is a colon expression
int64_t jC = GB_ijlist (J, j, Jkind, Jcolon) ;
// while both list S (:,j) and A (:,j) have entries
while (pS < pS_end && pA < pA_end)
{
int64_t iS = GBI (Si, pS, Svlen) ;
int64_t iA = GBI (Ai, pA, Avlen) ;
if (iS < iA)
{
// S (i,j) is present but A (i,j) is not
GB_NEXT (S) ;
}
else if (iA < iS)
{
// S (i,j) is not present, A (i,j) is present
GB_MIJ_BINARY_SEARCH_OR_DENSE_LOOKUP (iA) ;
if (Mask_comp) mij = !mij ;
if (mij)
{
// ----[. A 1]--------------------------------------
// [. A 1]: action: ( insert )
int64_t iC = GB_ijlist (I, iA, Ikind, Icolon) ;
GB_PENDING_INSERT_aij ;
}
GB_NEXT (A) ;
}
else
{
// both S (i,j) and A (i,j) present
GB_NEXT (S) ;
GB_NEXT (A) ;
}
}
// while list A (:,j) has entries. List S (:,j) exhausted.
while (pA < pA_end)
{
// S (i,j) is not present, A (i,j) is present
int64_t iA = GBI (Ai, pA, Avlen) ;
GB_MIJ_BINARY_SEARCH_OR_DENSE_LOOKUP (iA) ;
if (Mask_comp) mij = !mij ;
if (mij)
{
// ----[. A 1]------------------------------------------
// [. A 1]: action: ( insert )
int64_t iC = GB_ijlist (I, iA, Ikind, Icolon) ;
GB_PENDING_INSERT_aij ;
}
GB_NEXT (A) ;
}
}
GB_PHASE2_TASK_WRAPUP ;
}
}
//--------------------------------------------------------------------------
// finalize the matrix and return result
//--------------------------------------------------------------------------
GB_SUBASSIGN_WRAPUP ;
}
|
pi.c | /*
OpenMP example program that computes the value of Pi using the trapeziod rule.
Compile with gcc -fopenmp -O3 omp_pi.c -o omp_pi
*/
// Online source: http://users.abo.fi/mats/PP2012/examples/OpenMP/omp_pi.c
// // permission obtained
#include <omp.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <assert.h>
#ifdef _CIVL
$input int N=100;
#else
#define N 1000
#endif
void print_usage(char *s) {
printf("Usage: %s -i <nr of intervals>\n", s);
exit(0);
}
/* This is the function to integrate */
double f(double x) {
return (4.0 / (1.0 + x*x));
}
int main (int argc, char *argv[]) {
const double PI24 = 3.141592653589793238462643;
int nthreads, tid;
double d, x, sum=0.0, pi;
double starttime, stoptime;
int n=N, i;
char c;
#ifndef _CIVL
/* Check if we have at least one argument */
if (argc <=1 ) {
print_usage(argv[0]);
}
else {
/* Parse the arguments for a -h or -i flag */
while ((c=getopt(argc, argv, "hi:")) != EOF) {
switch (c) {
case 'h':
print_usage(argv[0]);
case 'i':
n = atoi(optarg); /* Get number of intervals */
break;
default:
print_usage(argv[0]);
}
}
}
#endif
/* Compute the size of intervals */
d = 1.0/(double) n;
/* Start the threads */
#pragma omp parallel default(shared) private(nthreads, tid, x)
{
/* Get the thread number */
tid = omp_get_thread_num();
/* The master thread checks how many there are */
#pragma omp master
{
nthreads = omp_get_num_threads();
printf("Number of threads = %d\n", nthreads);
starttime = omp_get_wtime(); /* Measure the execution time */
}
/* This loop is executed in parallel by the threads */
#pragma omp for reduction(+:sum)
for (i=0; i<n; i++) {
x = d*(double)i;
sum += f(x) + f(x+d);
}
} /* The parallel section ends here */
/* The multiplication by d and division by 2 is moved out of the loop */
pi = d*sum*0.5;
stoptime = omp_get_wtime();
printf("The computed value of Pi is %2.24f\n", pi);
printf("The \"exact\" value of Pi is %2.24f\n", PI24);
printf("The difference is %e\n", fabs(PI24-pi));
#ifdef _CIVL
assert(fabs(PI24-pi) < 0.1);
#endif
printf("Time: %2.4f seconds \n", stoptime-starttime);
exit(0);
}
|
Parallelizer.h | // This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_PARALLELIZER_H
#define EIGEN_PARALLELIZER_H
namespace Eigen {
namespace internal {
/** \internal */
inline void manage_multi_threading(Action action, int* v) {
static int m_maxThreads = -1;
EIGEN_UNUSED_VARIABLE(m_maxThreads);
if (action == SetAction) {
eigen_internal_assert(v != 0);
m_maxThreads = *v;
} else if (action == GetAction) {
eigen_internal_assert(v != 0);
#ifdef EIGEN_HAS_OPENMP
if (m_maxThreads > 0)
*v = m_maxThreads;
else
*v = omp_get_max_threads();
#else
*v = 1;
#endif
} else {
eigen_internal_assert(false);
}
}
} // namespace internal
/** Must be call first when calling Eigen from multiple threads */
inline void initParallel() {
int nbt;
internal::manage_multi_threading(GetAction, &nbt);
std::ptrdiff_t l1, l2, l3;
internal::manage_caching_sizes(GetAction, &l1, &l2, &l3);
}
/** \returns the max number of threads reserved for Eigen
* \sa setNbThreads */
inline int nbThreads() {
int ret;
internal::manage_multi_threading(GetAction, &ret);
return ret;
}
/** Sets the max number of threads reserved for Eigen
* \sa nbThreads */
inline void setNbThreads(int v) { internal::manage_multi_threading(SetAction, &v); }
namespace internal {
template <typename Index> struct GemmParallelInfo {
GemmParallelInfo() : sync(-1), users(0), lhs_start(0), lhs_length(0) {}
Index volatile sync;
int volatile users;
Index lhs_start;
Index lhs_length;
};
template <bool Condition, typename Functor, typename Index>
void parallelize_gemm(const Functor& func, Index rows, Index cols, Index depth,
bool transpose) {
// TODO when EIGEN_USE_BLAS is defined,
// we should still enable OMP for other scalar types
#if !(defined(EIGEN_HAS_OPENMP)) || defined(EIGEN_USE_BLAS)
// FIXME the transpose variable is only needed to properly split
// the matrix product when multithreading is enabled. This is a temporary
// fix to support row-major destination matrices. This whole
// parallelizer mechanism has to be redisigned anyway.
EIGEN_UNUSED_VARIABLE(depth);
EIGEN_UNUSED_VARIABLE(transpose);
func(0, rows, 0, cols);
#else
// Dynamically check whether we should enable or disable OpenMP.
// The conditions are:
// - the max number of threads we can create is greater than 1
// - we are not already in a parallel code
// - the sizes are large enough
// compute the maximal number of threads from the size of the product:
// This first heuristic takes into account that the product kernel is fully optimized when working with nr columns at once.
Index size = transpose ? rows : cols;
Index pb_max_threads = std::max<Index>(1, size / Functor::Traits::nr);
// compute the maximal number of threads from the total amount of work:
double work = static_cast<double>(rows) * static_cast<double>(cols) *
static_cast<double>(depth);
double kMinTaskSize = 50000; // FIXME improve this heuristic.
pb_max_threads =
std::max<Index>(1, std::min<Index>(pb_max_threads, work / kMinTaskSize));
// compute the number of threads we are going to use
Index threads = std::min<Index>(nbThreads(), pb_max_threads);
// if multi-threading is explicitely disabled, not useful, or if we already are in a parallel session,
// then abort multi-threading
// FIXME omp_get_num_threads()>1 only works for openmp, what if the user does not use openmp?
if ((!Condition) || (threads == 1) || (omp_get_num_threads() > 1))
return func(0, rows, 0, cols);
Eigen::initParallel();
func.initParallelSession(threads);
if (transpose) std::swap(rows, cols);
ei_declare_aligned_stack_constructed_variable(GemmParallelInfo<Index>, info, threads,
0);
int errorCount = 0;
#pragma omp parallel num_threads(threads) reduction(+ : errorCount)
{
Index i = omp_get_thread_num();
// Note that the actual number of threads might be lower than the number of request ones.
Index actual_threads = omp_get_num_threads();
Index blockCols = (cols / actual_threads) & ~Index(0x3);
Index blockRows = (rows / actual_threads);
blockRows = (blockRows / Functor::Traits::mr) * Functor::Traits::mr;
Index r0 = i * blockRows;
Index actualBlockRows = (i + 1 == actual_threads) ? rows - r0 : blockRows;
Index c0 = i * blockCols;
Index actualBlockCols = (i + 1 == actual_threads) ? cols - c0 : blockCols;
info[i].lhs_start = r0;
info[i].lhs_length = actualBlockRows;
EIGEN_TRY {
if (transpose)
func(c0, actualBlockCols, 0, rows, info);
else
func(0, rows, c0, actualBlockCols, info);
}
EIGEN_CATCH(...) { ++errorCount; }
}
//if (errorCount) EIGEN_THROW_X(Eigen::eigen_assert_exception());
// CRAAM(marek): this seems to be an upstream bug, should be fixed in 3.3.9)
eigen_assert(errorCount == 0);
#endif
}
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_PARALLELIZER_H
|
GB_binop__iseq_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__iseq_uint32)
// A.*B function (eWiseMult): GB (_AemultB_08__iseq_uint32)
// A.*B function (eWiseMult): GB (_AemultB_02__iseq_uint32)
// A.*B function (eWiseMult): GB (_AemultB_04__iseq_uint32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__iseq_uint32)
// A*D function (colscale): GB (_AxD__iseq_uint32)
// D*A function (rowscale): GB (_DxB__iseq_uint32)
// C+=B function (dense accum): GB (_Cdense_accumB__iseq_uint32)
// C+=b function (dense accum): GB (_Cdense_accumb__iseq_uint32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__iseq_uint32)
// C=scalar+B GB (_bind1st__iseq_uint32)
// C=scalar+B' GB (_bind1st_tran__iseq_uint32)
// C=A+scalar GB (_bind2nd__iseq_uint32)
// C=A'+scalar GB (_bind2nd_tran__iseq_uint32)
// C type: uint32_t
// A type: uint32_t
// A pattern? 0
// B type: uint32_t
// B pattern? 0
// BinaryOp: cij = (aij == bij)
#define GB_ATYPE \
uint32_t
#define GB_BTYPE \
uint32_t
#define GB_CTYPE \
uint32_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint32_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) \
uint32_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) \
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 = (x == y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_ISEQ || GxB_NO_UINT32 || GxB_NO_ISEQ_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__iseq_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__iseq_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__iseq_uint32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint32_t
uint32_t bwork = (*((uint32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__iseq_uint32)
(
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
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__iseq_uint32)
(
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
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__iseq_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
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__iseq_uint32)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__iseq_uint32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__iseq_uint32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__iseq_uint32)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__iseq_uint32)
(
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 ;
uint32_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__iseq_uint32)
(
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 ;
uint32_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) \
{ \
uint32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x == aij) ; \
}
GrB_Info GB (_bind1st_tran__iseq_uint32)
(
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
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij == y) ; \
}
GrB_Info GB (_bind2nd_tran__iseq_uint32)
(
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
|
mkl_util.h | /* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_CORE_UTIL_MKL_UTIL_H_
#define TENSORFLOW_CORE_UTIL_MKL_UTIL_H_
#ifdef INTEL_MKL
#include <string>
#include <memory>
#include <unordered_map>
#include <utility>
#include <vector>
#if defined(INTEL_MKL_ML_ONLY) || defined(INTEL_MKL_DNN_ONLY)
#ifndef INTEL_MKL
#error "INTEL_MKL_{ML,DNN}_ONLY require INTEL_MKL"
#endif
#endif
#if defined(INTEL_MKL_ML_ONLY) && defined(INTEL_MKL_DNN_ONLY)
#error "at most one of INTEL_MKL_ML_ONLY and INTEL_MKL_DNN_ONLY may be defined"
#endif
#ifdef INTEL_MKL_ML_ONLY
#error \
"Compiling for INTEL MKL ML only is no longer supported.Please use MKL DNN (the default option for --config=mkl)"
#endif
#ifdef INTEL_MKL_ML_ONLY
#include "mkl_dnn.h"
#include "mkl_dnn_types.h"
#include "mkl_service.h"
#include "mkl_trans.h"
#endif
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/graph/mkl_graph_util.h"
#include "tensorflow/core/lib/core/errors.h"
#include "tensorflow/core/lib/gtl/array_slice.h"
#include "tensorflow/core/platform/cpu_info.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/macros.h"
#include "tensorflow/core/util/padding.h"
#include "tensorflow/core/util/tensor_format.h"
#include "tensorflow/core/util/env_var.h"
#ifndef INTEL_MKL_ML_ONLY
#include "mkldnn.hpp"
#include "tensorflow/core/lib/core/stringpiece.h"
using mkldnn::engine;
using mkldnn::memory;
using mkldnn::padding_kind;
using mkldnn::primitive;
using mkldnn::reorder;
#endif
#ifdef _WIN32
typedef unsigned int uint;
#endif
namespace tensorflow {
// The file contains a number of utility classes and functions used by MKL
// enabled kernels
// This class encapsulates all the meta data that is associated with an MKL
// tensor. A tensor is an MKL tensor if it was created as the result of an
// MKL operation, and did not go through a conversion to a standard
// Tensorflow tensor.
typedef enum { W = 0, H = 1, C = 2, N = 3 } MklDims;
typedef enum {
Dim_N = 0,
Dim_C = 1,
Dim_H = 2,
Dim_W = 3,
Dim_O = 0,
Dim_I = 1
} MklDnnDims;
typedef enum {
Dim3d_N = 0,
Dim3d_C = 1,
Dim3d_D = 2,
Dim3d_H = 3,
Dim3d_W = 4,
Dim3d_O = 0,
Dim3d_I = 1
} MklDnnDims3D;
static const int kSmallBatchSize = 32;
#ifdef INTEL_MKL_ML_ONLY
class MklShape {
public:
MklShape() {}
TF_DISALLOW_COPY_AND_ASSIGN(MklShape); // Cannot copy
~MklShape() {
if (sizes_) delete[] sizes_;
if (strides_) delete[] strides_;
if (mklLayout_) CHECK_EQ(dnnLayoutDelete_F32(mklLayout_), E_SUCCESS);
if (tfLayout_) CHECK_EQ(dnnLayoutDelete_F32(tfLayout_), E_SUCCESS);
if (tf_to_mkl_dim_map_) delete[] tf_to_mkl_dim_map_;
}
const bool IsMklTensor() const { return isMklTensor_; }
void SetMklTensor(const bool isMklTensor) { isMklTensor_ = isMklTensor; }
void SetDimensions(const size_t dimension) { dimension_ = dimension; }
void SetMklLayout(dnnLayout_t mklLayout) { mklLayout_ = mklLayout; }
void SetMklLayout(const void* primitive, size_t resourceType) {
CHECK_EQ(
dnnLayoutCreateFromPrimitive_F32(&mklLayout_, (dnnPrimitive_t)primitive,
(dnnResourceType_t)resourceType),
E_SUCCESS);
}
void SetTfLayout(const size_t dimension, const size_t* sizes,
const size_t* strides) {
dimension_ = dimension;
if (dimension > 0) { // MKl doesn't support zero dimension tensors
sizes_ = new size_t[dimension];
strides_ = new size_t[dimension];
for (int ii = 0; ii < dimension; ii++) {
sizes_[ii] = sizes[ii];
strides_[ii] = strides[ii];
}
CHECK_EQ(dnnLayoutCreate_F32(&tfLayout_, dimension, sizes, strides),
E_SUCCESS);
}
}
// Default case - MKL dim ordering is opposite of TF dim ordering
// MKL -> (DIMS-1)...0 where (DIMS-1) is outermost dim and 0 is innermost dim
// TF -> 0...(DIMS-1) where 0 is outermost dim and (DIMS-1) is innermost dim
// For layers that rely on data_format semantics (conv, pooling etc.)
// or operate only on certain dimensions (relu, concat, split etc.),
// Mkl APIs might require us to reorder these dimensions. In such cases,
// kernels should explicitly set this map
void SetTfDimOrder(const size_t dimension) {
CHECK(dimension == dimension_);
if (tf_to_mkl_dim_map_ == nullptr) {
tf_to_mkl_dim_map_ = new size_t[dimension];
}
for (size_t ii = 0; ii < dimension; ii++) {
tf_to_mkl_dim_map_[ii] = dimension - (ii + 1);
}
}
void SetTfDimOrder(const size_t dimension, const size_t* tf_to_mkl_dim_map) {
CHECK(dimension == dimension_);
if (tf_to_mkl_dim_map_ == nullptr) {
tf_to_mkl_dim_map_ = new size_t[dimension];
}
for (size_t ii = 0; ii < dimension; ii++) {
tf_to_mkl_dim_map_[ii] = tf_to_mkl_dim_map[ii];
}
}
void SetTfDimOrder(const size_t dimension, TensorFormat data_format) {
CHECK_EQ(dimension, 4);
CHECK(dimension == dimension_);
if (tf_to_mkl_dim_map_ == nullptr) {
tf_to_mkl_dim_map_ = new size_t[dimension];
}
tf_to_mkl_dim_map_[GetTensorDimIndex<2>(data_format, 'W')] = MklDims::W;
tf_to_mkl_dim_map_[GetTensorDimIndex<2>(data_format, 'H')] = MklDims::H;
tf_to_mkl_dim_map_[GetTensorDimIndex<2>(data_format, 'C')] = MklDims::C;
tf_to_mkl_dim_map_[GetTensorDimIndex<2>(data_format, 'N')] = MklDims::N;
}
const dnnLayout_t GetMklLayout() const { return mklLayout_; }
const dnnLayout_t GetTfLayout() const { return tfLayout_; }
const dnnLayout_t GetCurLayout() const {
return isMklTensor_ ? mklLayout_ : tfLayout_;
}
size_t GetDimension() const { return dimension_; }
const size_t* GetSizes() const { return sizes_; }
int64 dim_size(int index) const { return sizes_[index]; }
int64 tf_dim_size(int index) const {
return sizes_[tf_to_mkl_dim_map_[index]];
}
const size_t* GetStrides() const { return strides_; }
const size_t* GetTfToMklDimMap() const { return tf_to_mkl_dim_map_; }
size_t tf_dim_idx(int index) const { return tf_to_mkl_dim_map_[index]; }
// Query TF-MKL dimension ordering map and check if Tensorflow dimension 'd'
// corresponds to MKL's Channel dimension.
bool IsMklChannelDim(int d) const { return tf_dim_idx(d) == MklDims::C; }
// Query TF-MKL dimension ordering map and check if Tensorflow dimension 'd'
// corresponds to MKL's Batch dimension.
bool IsMklBatchDim(int d) const { return tf_dim_idx(d) == MklDims::N; }
// Query TF-MKL dimension ordering map and check if Tensorflow dimension 'd'
// corresponds to MKL's Width dimension.
bool IsMklWidthDim(int d) const { return tf_dim_idx(d) == MklDims::W; }
// Query TF-MKL dimension ordering map and check if Tensorflow dimension 'd'
// corresponds to MKL's Height dimension.
bool IsMklHeightDim(int d) const { return tf_dim_idx(d) == MklDims::H; }
// Check if the TF-Mkl dimension ordering map specifies if the input
// tensor is in NCHW format.
bool IsTensorInNCHWFormat() const {
TensorFormat data_format = FORMAT_NCHW;
return (IsMklBatchDim(GetTensorDimIndex<2>(data_format, 'N')) &&
IsMklChannelDim(GetTensorDimIndex<2>(data_format, 'C')) &&
IsMklHeightDim(GetTensorDimIndex<2>(data_format, 'H')) &&
IsMklWidthDim(GetTensorDimIndex<2>(data_format, 'W')));
}
// Check if the TF-Mkl dimension ordering map specifies if the input
// tensor is in NHWC format.
bool IsTensorInNHWCFormat() const {
TensorFormat data_format = FORMAT_NHWC;
return (IsMklBatchDim(GetTensorDimIndex<2>(data_format, 'N')) &&
IsMklChannelDim(GetTensorDimIndex<2>(data_format, 'C')) &&
IsMklHeightDim(GetTensorDimIndex<2>(data_format, 'H')) &&
IsMklWidthDim(GetTensorDimIndex<2>(data_format, 'W')));
}
void GetConvertedFlatData(dnnLayout_t targetLayout, void* input,
void* output) const {
dnnLayout_t curLayout;
if (isMklTensor_)
curLayout = mklLayout_;
else
curLayout = tfLayout_;
dnnPrimitive_t convert;
CHECK_EQ(dnnConversionCreate_F32(&convert, curLayout, targetLayout),
E_SUCCESS);
CHECK_EQ(dnnConversionExecute_F32(convert, input, output), E_SUCCESS);
CHECK_EQ(dnnDelete_F32(convert), E_SUCCESS);
}
// The following methods are used for serializing and de-serializing the
// contents of the mklshape object.
// The data is serialized in this order
// isMklTensor_
// dimension_
// sizes_
// strides_
// mklLayout_
// tfLayout_
// tf_to_mkl_dim_map_
#define SIZE_OF_MKL_DNN_BUF \
(dnnLayoutSerializationBufferSize_F32()) // Size of buffer needed to
// serialize dnn_layout pointer
// Size of buffer to hold the serialized object, the size is computed as
// follows sizeof(isMklTensor_) + sizeof(dimension_) + sizeof(sizes_) +
// sizeof(strides_)
// + sizeof(mklLayout_ buffer) + sizeof(tfLayout_ buffer)
// + sizeof(tf_to_mkl_dim_map_)
#define SIZE_OF_MKL_SERIAL_DATA(dims) \
(2 * sizeof(size_t) + 3 * dims * sizeof(size_t) + 2 * SIZE_OF_MKL_DNN_BUF)
// First we need to define some macro for offsets into the serial buffer where
// different elements of Mklshape is written/read from
#define IS_MKL_TENSOR_OFFSET 0
// Location from start of buffer where isMklTensor_ is serialized
#define DIMS_OFFSET \
(IS_MKL_TENSOR_OFFSET + sizeof(size_t)) // Location of dimension_
// Location of sizes. Note dim is not used here, left here
// to make macros consistent.
#define SIZES_OFFSET(dims) (DIMS_OFFSET + sizeof(size_t))
#define STRIDES_OFFSET(dims) \
(SIZES_OFFSET(dims) + dims * sizeof(size_t)) // Location of strides
#define MKL_LAYOUT_OFFSET(dims) \
(STRIDES_OFFSET(dims) + dims * sizeof(size_t)) // Location of mklLayout_
#define TF_LAYOUT_OFFSET(dims) \
(MKL_LAYOUT_OFFSET(dims) + SIZE_OF_MKL_DNN_BUF) // Location of tfLayout_
// Location of tf_to_mkl_dim_map_
#define TF_TO_MKL_DIM_MAP_OFFSET(dims) \
(TF_LAYOUT_OFFSET(dims) + SIZE_OF_MKL_DNN_BUF)
// TODO(agramesh1) make sure to create a const to share with rewrite pass
// for min size of MKL metadata tensor.
void DeSerializeMklShape(const unsigned char* buf, size_t buf_size) {
CHECK(buf_size >= sizeof(size_t)) << "Bufsize too small in DeSerialize";
// Make sure buffer holds at least isMklTensor_
isMklTensor_ =
*reinterpret_cast<const size_t*>(buf + IS_MKL_TENSOR_OFFSET) != 0;
if (isMklTensor_) { // If it is an MKL Tensor then read the rest
dimension_ = *(reinterpret_cast<const size_t*>(buf + DIMS_OFFSET));
CHECK(buf_size >= SIZE_OF_MKL_SERIAL_DATA(dimension_))
<< "Bufsize too small in DeSerialize";
sizes_ = new size_t[dimension_];
strides_ = new size_t[dimension_];
tf_to_mkl_dim_map_ = new size_t[dimension_];
for (int i = 0; i < dimension_; i++) {
sizes_[i] =
reinterpret_cast<const size_t*>(buf + SIZES_OFFSET(dimension_))[i];
strides_[i] = reinterpret_cast<const size_t*>(
buf + STRIDES_OFFSET(dimension_))[i];
tf_to_mkl_dim_map_[i] = reinterpret_cast<const size_t*>(
buf + TF_TO_MKL_DIM_MAP_OFFSET(dimension_))[i];
}
CHECK_EQ(dnnLayoutDeserialize_F32(&mklLayout_,
buf + MKL_LAYOUT_OFFSET(dimension_)),
E_SUCCESS);
CHECK_EQ(dnnLayoutDeserialize_F32(&tfLayout_,
buf + TF_LAYOUT_OFFSET(dimension_)),
E_SUCCESS);
}
}
void SerializeMklShape(unsigned char* buf, size_t buf_size) const {
CHECK(buf_size >= SIZE_OF_MKL_SERIAL_DATA(dimension_))
<< "Bufsize too small to Serialize";
*reinterpret_cast<size_t*>(buf + IS_MKL_TENSOR_OFFSET) =
isMklTensor_ ? 1 : 0;
if (isMklTensor_) {
*(reinterpret_cast<size_t*>(buf + DIMS_OFFSET)) = dimension_;
for (int i = 0; i < dimension_; i++) {
reinterpret_cast<size_t*>(buf + SIZES_OFFSET(dimension_))[i] =
sizes_[i];
reinterpret_cast<size_t*>(buf + STRIDES_OFFSET(dimension_))[i] =
strides_[i];
reinterpret_cast<size_t*>(buf +
TF_TO_MKL_DIM_MAP_OFFSET(dimension_))[i] =
tf_to_mkl_dim_map_[i];
}
CHECK_EQ(dnnLayoutSerialize_F32(mklLayout_,
buf + MKL_LAYOUT_OFFSET(dimension_)),
E_SUCCESS);
CHECK_EQ(
dnnLayoutSerialize_F32(tfLayout_, buf + TF_LAYOUT_OFFSET(dimension_)),
E_SUCCESS);
}
}
private:
bool isMklTensor_ =
false; // Flag to indicate if the tensor is an MKL tensor or not
dnnLayout_t mklLayout_ = nullptr; // Pointer to the MKL layout
dnnLayout_t tfLayout_ = nullptr; // Pointer to layout of corresponding
// Tensorflow tensor, used when conversion from MKL to standard tensor
size_t dimension_ = 0;
size_t* sizes_ = nullptr; // Required by MKL for conversions
size_t* strides_ = nullptr; // Required by MKL for conversions
size_t* tf_to_mkl_dim_map_ =
nullptr; // TF dimension corresponding to this MKL dimension
};
#else
// Forward decl
TensorFormat MklDnn3DDataFormatToTFDataFormat(memory::format format);
TensorFormat MklDnnDataFormatToTFDataFormat(memory::format format);
memory::dims CalculateTFStrides(const memory::dims& dims_tf_order);
memory::desc CreateBlockedMemDescHelper(const memory::dims& dim,
const memory::dims& strides,
memory::data_type dtype);
class MklDnnShape {
private:
typedef struct {
/// Flag to indicate if the tensor is an MKL tensor or not
bool is_mkl_tensor_ = false;
/// Number of dimensions in Tensorflow format
size_t dimension_ = 0;
/// Required by MKLDNN for conversions
mkldnn_dims_t sizes_; // Required by MKL for conversions
memory::format tf_data_format_ = memory::format::format_undef;
memory::data_type T_ = memory::data_type::data_undef;
// MKL layout
mkldnn_memory_desc_t mkl_md_;
/// TF dimension corresponding to this MKL dimension
mkldnn_dims_t map_;
} MklShapeData;
MklShapeData data_;
typedef std::remove_extent<mkldnn_dims_t>::type mkldnn_dim_t;
#define INVALID_DIM_SIZE -1
public:
MklDnnShape() {
for (size_t i = 0; i < sizeof(data_.sizes_) / sizeof(data_.sizes_[0]);
++i) {
data_.sizes_[i] = -1;
}
for (size_t i = 0; i < sizeof(data_.map_) / sizeof(data_.map_[0]); ++i) {
data_.map_[i] = -1;
}
}
~MklDnnShape() {}
TF_DISALLOW_COPY_AND_ASSIGN(MklDnnShape); // Cannot copy
/// Helper function to compare memory::desc objects for MklDnn.
/// May be this should go into MklDnn directly.
inline bool CompareMklDnnLayouts(const memory::desc& md1,
const memory::desc& md2) const {
mkldnn_memory_desc_t mdd1 = md1.data;
mkldnn_memory_desc_t mdd2 = md2.data;
const char* d1 = reinterpret_cast<const char*>(&mdd1);
const char* d2 = reinterpret_cast<const char*>(&mdd2);
size_t md_size = sizeof(mdd1);
for (size_t i = 0; i < md_size; i++) {
if (*d1++ != *d2++) {
return false;
}
}
return true;
}
/// Equality function for MklDnnShape objects
/// @return true if both are equal; false otherwise.
inline bool operator==(const MklDnnShape& input_shape) const {
if (this->IsMklTensor() != input_shape.IsMklTensor()) {
return false;
}
// If input tensors are in Mkl layout, then we check for dimensions and
// sizes.
if (this->IsMklTensor()) {
return this->GetTfShape() == input_shape.GetTfShape() &&
CompareMklDnnLayouts(this->GetMklLayout(),
input_shape.GetMklLayout());
}
return true;
}
/// Equality operator for MklDnnShape and TFShape.
/// Returns: true if TF shapes for both are the same, false otherwise
inline bool operator==(const TensorShape& input_shape) const {
if (!this->IsMklTensor()) {
return false;
}
return this->GetTfShape() == input_shape;
}
inline const bool IsMklTensor() const { return data_.is_mkl_tensor_; }
inline void SetMklTensor(bool is_mkl_tensor) {
data_.is_mkl_tensor_ = is_mkl_tensor;
}
inline void SetDimensions(const size_t dimension) {
data_.dimension_ = dimension;
}
inline size_t GetDimension(char dimension) const {
int index = GetMklDnnTensorDimIndex(dimension);
CHECK(index >= 0 && index < this->GetDimension())
<< "Invalid index from the dimension: " << index << ", " << dimension;
return this->DimSize(index);
}
inline size_t GetDimension3D(char dimension) const {
int index = GetMklDnnTensor3DDimIndex(dimension);
CHECK(index >= 0 && index < this->GetDimension())
<< "Invalid index from the dimension: " << index << ", " << dimension;
return this->DimSize(index);
}
inline int32 GetMklDnnTensorDimIndex(char dimension) const {
switch (dimension) {
case 'N':
return MklDnnDims::Dim_N;
case 'C':
return MklDnnDims::Dim_C;
case 'H':
return MklDnnDims::Dim_H;
case 'W':
return MklDnnDims::Dim_W;
default:
LOG(FATAL) << "Invalid dimension: " << dimension;
return -1; // Avoid compiler warning about missing return value
}
}
inline int32 GetMklDnnTensor3DDimIndex(char dimension) const {
switch (dimension) {
case 'N':
return MklDnnDims3D::Dim3d_N;
case 'C':
return MklDnnDims3D::Dim3d_C;
case 'D':
return MklDnnDims3D::Dim3d_D;
case 'H':
return MklDnnDims3D::Dim3d_H;
case 'W':
return MklDnnDims3D::Dim3d_W;
default:
LOG(FATAL) << "Invalid dimension: " << dimension;
return -1; // Avoid compiler warning about missing return value
}
}
inline size_t GetDimension() const { return data_.dimension_; }
inline const int* GetSizes() const {
return reinterpret_cast<const int*>(&data_.sizes_[0]);
}
// Returns an mkldnn::memory::dims object that contains the sizes of this
// MklDnnShape object.
inline memory::dims GetSizesAsMklDnnDims() const {
memory::dims retVal;
if (data_.is_mkl_tensor_) {
size_t dimensions = sizeof(data_.sizes_) / sizeof(data_.sizes_[0]);
for (size_t i = 0; i < dimensions; i++) {
if (data_.sizes_[i] != INVALID_DIM_SIZE)
retVal.push_back(data_.sizes_[i]);
}
} else {
CHECK_EQ(data_.is_mkl_tensor_, true);
}
return retVal;
}
inline int64 DimSize(int index) const {
CHECK_LT(index, sizeof(data_.sizes_) / sizeof(data_.sizes_[0]));
return data_.sizes_[index];
}
/// Return TensorShape that describes the Tensorflow shape of the tensor
/// represented by this MklShape.
inline TensorShape GetTfShape() const {
CHECK_EQ(data_.is_mkl_tensor_, true);
std::vector<int32> shape(data_.dimension_, -1);
if (data_.tf_data_format_ != memory::format::blocked) {
for (size_t idx = 0; idx < data_.dimension_; ++idx) {
shape[idx] = data_.sizes_[TfDimIdx(idx)];
}
} else {
// If Tensorflow shape is in Blocked format, then we don't have dimension
// map for it. So we just create Tensorflow shape from sizes in the
// specified order.
for (size_t idx = 0; idx < data_.dimension_; ++idx) {
shape[idx] = data_.sizes_[idx];
}
}
TensorShape ts;
bool ret = TensorShapeUtils::MakeShape(shape, &ts).ok();
CHECK_EQ(ret, true);
return ts;
}
inline void SetElemType(memory::data_type dt) { data_.T_ = dt; }
inline const memory::data_type GetElemType() { return data_.T_; }
inline void SetMklLayout(memory::primitive_desc* pd) {
CHECK_NOTNULL(pd);
data_.mkl_md_ = pd->desc().data;
}
inline void SetMklLayout(memory::desc* md) {
CHECK_NOTNULL(md);
data_.mkl_md_ = md->data;
}
inline const memory::desc GetMklLayout() const {
return memory::desc(data_.mkl_md_);
}
inline memory::format GetTfDataFormat() const {
return data_.tf_data_format_;
}
/// We don't create primitive_descriptor for TensorFlow layout now.
/// We use lazy evaluation and create it only when needed. Input format can
/// also be Blocked format.
inline void SetTfLayout(size_t dims, const memory::dims& sizes,
memory::format format) {
CHECK_EQ(dims, sizes.size());
data_.dimension_ = dims;
for (size_t ii = 0; ii < dims; ii++) {
data_.sizes_[ii] = sizes[ii];
}
data_.tf_data_format_ = format;
if (format != memory::format::blocked) {
SetTfDimOrder(dims, format);
}
}
inline const memory::desc GetTfLayout() const {
memory::dims dims;
for (size_t ii = 0; ii < data_.dimension_; ii++) {
dims.push_back(data_.sizes_[ii]);
}
// Create Blocked memory desc if input TF format was set like that.
if (data_.tf_data_format_ == memory::format::blocked) {
auto strides = CalculateTFStrides(dims);
return CreateBlockedMemDescHelper(dims, strides, data_.T_);
} else {
return memory::desc(dims, data_.T_, data_.tf_data_format_);
}
}
inline const memory::desc GetCurLayout() const {
return IsMklTensor() ? GetMklLayout() : GetTfLayout();
}
// nhasabni - I've removed SetTfDimOrder that was setting default order in
// case of MKL-ML. We don't need a case of default dimension order because
// when an operator that does not get data_format attribute gets all inputs
// in Tensorflow format, it will produce output in Tensorflow format.
inline void SetTfDimOrder(const size_t dimension, const mkldnn_dims_t map) {
CHECK(dimension == data_.dimension_);
for (size_t ii = 0; ii < dimension; ii++) {
data_.map_[ii] = map[ii];
}
}
inline void SetTfDimOrder(const size_t dimension, TensorFormat data_format) {
if (dimension == 5) {
CHECK(dimension == data_.dimension_);
data_.map_[GetTensorDimIndex<3>(data_format, '0')] =
MklDnnDims3D::Dim3d_D;
data_.map_[GetTensorDimIndex<3>(data_format, '1')] =
MklDnnDims3D::Dim3d_H;
data_.map_[GetTensorDimIndex<3>(data_format, '2')] =
MklDnnDims3D::Dim3d_W;
data_.map_[GetTensorDimIndex<3>(data_format, 'C')] =
MklDnnDims3D::Dim3d_C;
data_.map_[GetTensorDimIndex<3>(data_format, 'N')] =
MklDnnDims3D::Dim3d_N;
} else {
CHECK_EQ(dimension, 4);
CHECK(dimension == data_.dimension_);
data_.map_[GetTensorDimIndex<2>(data_format, 'W')] = MklDnnDims::Dim_W;
data_.map_[GetTensorDimIndex<2>(data_format, 'H')] = MklDnnDims::Dim_H;
data_.map_[GetTensorDimIndex<2>(data_format, 'C')] = MklDnnDims::Dim_C;
data_.map_[GetTensorDimIndex<2>(data_format, 'N')] = MklDnnDims::Dim_N;
}
}
inline void SetTfDimOrder(const size_t dimension, memory::format format) {
TensorFormat data_format = MklDnnDataFormatToTFDataFormat(format);
SetTfDimOrder(dimension, data_format);
}
inline const mkldnn_dim_t* GetTfToMklDimMap() const { return &data_.map_[0]; }
inline size_t TfDimIdx(int index) const { return data_.map_[index]; }
inline int64 TfDimSize(int index) const {
return data_.sizes_[TfDimIdx(index)];
}
/// Query TF-MKL dimension ordering map and check if Tensorflow dimension 'd'
/// corresponds to MKL's Channel dimension.
inline bool IsMklChannelDim(int d) const {
return TfDimIdx(d) == MklDnnDims::Dim_C;
}
/// Query TF-MKL dimension ordering map and check if Tensorflow dimension 'd'
/// corresponds to MKL's Batch dimension.
inline bool IsMklBatchDim(int d) const {
return TfDimIdx(d) == MklDnnDims::Dim_N;
}
/// Query TF-MKL dimension ordering map and check if Tensorflow dimension 'd'
/// corresponds to MKL's Width dimension.
inline bool IsMklWidthDim(int d) const {
return TfDimIdx(d) == MklDnnDims::Dim_W;
}
/// Query TF-MKL dimension ordering map and check if Tensorflow dimension 'd'
/// corresponds to MKL's Height dimension.
inline bool IsMklHeightDim(int d) const {
return TfDimIdx(d) == MklDnnDims::Dim_H;
}
/// Check if the TF-Mkl dimension ordering map specifies if the input
/// tensor is in NCHW format.
inline bool IsTensorInNCHWFormat() const {
TensorFormat data_format = FORMAT_NCHW;
return (IsMklBatchDim(GetTensorDimIndex<2>(data_format, 'N')) &&
IsMklChannelDim(GetTensorDimIndex<2>(data_format, 'C')) &&
IsMklHeightDim(GetTensorDimIndex<2>(data_format, 'H')) &&
IsMklWidthDim(GetTensorDimIndex<2>(data_format, 'W')));
}
/// Check if the TF-Mkl dimension ordering map specifies if the input
/// tensor is in NHWC format.
inline bool IsTensorInNHWCFormat() const {
TensorFormat data_format = FORMAT_NHWC;
return (IsMklBatchDim(GetTensorDimIndex<2>(data_format, 'N')) &&
IsMklChannelDim(GetTensorDimIndex<2>(data_format, 'C')) &&
IsMklHeightDim(GetTensorDimIndex<2>(data_format, 'H')) &&
IsMklWidthDim(GetTensorDimIndex<2>(data_format, 'W')));
}
/// The following methods are used for serializing and de-serializing the
/// contents of the mklshape object.
/// The data is serialized in this order
/// is_mkl_tensor_ : dimension_ : sizes_ : map_: format_ : T_ : mkl_pd_;
/// Size of buffer to hold the serialized object, the size is computed by
/// following above mentioned order
inline size_t GetSerializeBufferSize() const { return sizeof(MklShapeData); }
void SerializeMklDnnShape(unsigned char* buf, size_t buf_size) const {
CHECK(buf_size >= GetSerializeBufferSize())
<< "Buffer size is too small to SerializeMklDnnShape";
*reinterpret_cast<MklShapeData*>(buf) = data_;
}
void DeSerializeMklDnnShape(const unsigned char* buf, size_t buf_size) {
// Make sure buffer holds at least is_mkl_tensor_.
CHECK(buf_size >= sizeof(data_.is_mkl_tensor_))
<< "Buffer size is too small in DeSerializeMklDnnShape";
const bool is_mkl_tensor = *reinterpret_cast<const bool*>(buf);
if (is_mkl_tensor) { // If it is an MKL Tensor then read the rest
CHECK(buf_size >= GetSerializeBufferSize())
<< "Buffer size is too small in DeSerializeMklDnnShape";
data_ = *reinterpret_cast<const MklShapeData*>(buf);
}
}
};
#endif
// List of MklShape objects. Used in Concat/Split layers.
#ifndef INTEL_MKL_ML_ONLY
typedef std::vector<MklDnnShape> MklDnnShapeList;
#else
typedef std::vector<MklShape> MklShapeList;
#endif
#ifdef INTEL_MKL_ML_ONLY
// Check if all tensors specified by MklShapes are MKL tensors.
inline bool AreAllMklTensors(const MklShapeList& shapes) {
for (auto& s : shapes) {
if (!s.IsMklTensor()) {
return false;
}
}
return true;
}
template <typename T>
inline Tensor ConvertMklToTF(OpKernelContext* context, const Tensor& mkl_tensor,
const MklShape& mkl_shape) {
Tensor output_tensor;
TensorShape output_shape;
for (size_t j = 0; j < mkl_shape.GetDimension(); j++) {
// Outermost to innermost dimension
output_shape.AddDim(mkl_shape.GetSizes()[mkl_shape.tf_dim_idx(j)]);
}
// Allocate output tensor.
context->allocate_temp(DataTypeToEnum<T>::v(), output_shape, &output_tensor);
dnnLayout_t output_layout = static_cast<dnnLayout_t>(mkl_shape.GetTfLayout());
void* input_buffer = const_cast<T*>(mkl_tensor.flat<T>().data());
void* output_buffer = const_cast<T*>(output_tensor.flat<T>().data());
if (mkl_tensor.NumElements() != 0) {
mkl_shape.GetConvertedFlatData(output_layout, input_buffer, output_buffer);
}
return output_tensor;
}
#else
using mkldnn::stream;
template <typename T> class MklDnnData;
template <typename T>
inline Tensor ConvertMklToTF(OpKernelContext* context, const Tensor& mkl_tensor,
const MklDnnShape& mkl_shape) {
Tensor output_tensor;
try {
if (!mkl_shape.IsMklTensor())
return mkl_tensor; // return input since it is already TF tensor
TensorShape output_shape = mkl_shape.GetTfShape();;
// Allocate output tensor.
context->allocate_temp(DataTypeToEnum<T>::v(),
output_shape, &output_tensor);
auto cpu_engine = engine(engine::cpu, 0);
MklDnnData<T> input(&cpu_engine);
// Get Mkl layout of input tensor.
auto input_mkl_md = mkl_shape.GetMklLayout();
auto output_tf_md = mkl_shape.GetTfLayout();
auto output_tf_pd = memory::primitive_desc(output_tf_md, cpu_engine);
input.SetUsrMem(input_mkl_md, &mkl_tensor);
// reorder
if (input.IsReorderNeeded(output_tf_pd)) {
std::vector<primitive> net;
CHECK_EQ(input.CheckReorderToOpMem(output_tf_pd, &output_tensor, &net),
true);
stream(stream::kind::eager).submit(net).wait();
} else {
// If not, just forward input tensor to output tensor.
CHECK(output_tensor.CopyFrom(mkl_tensor, output_shape));
}
} catch (mkldnn::error& e) {
string error_msg = "Status: " + std::to_string(e.status) +
", message: " + string(e.message) + ", in file " +
string(__FILE__) + ":" + std::to_string(__LINE__);
LOG(FATAL) << "Operation received an exception: " << error_msg;
}
return output_tensor;
}
#endif
// Get the MKL shape from the second string tensor
#ifdef INTEL_MKL_ML_ONLY
inline void GetMklShape(OpKernelContext* ctext, int n, MklShape* mklshape) {
mklshape->DeSerializeMklShape(
ctext->input(GetTensorMetaDataIndex(n, ctext->num_inputs()))
.flat<uint8>()
.data(),
ctext->input(GetTensorMetaDataIndex(n, ctext->num_inputs()))
.flat<uint8>()
.size() *
sizeof(uint8));
}
#else
inline void GetMklShape(OpKernelContext* ctext, int n, MklDnnShape* mklshape) {
mklshape->DeSerializeMklDnnShape(
ctext->input(GetTensorMetaDataIndex(n, ctext->num_inputs()))
.flat<uint8>()
.data(),
ctext->input(GetTensorMetaDataIndex(n, ctext->num_inputs()))
.flat<uint8>()
.size() *
sizeof(uint8));
}
#endif
// Gets the actual input
inline const Tensor& MklGetInput(OpKernelContext* ctext, int n) {
return ctext->input(GetTensorDataIndex(n, ctext->num_inputs()));
}
inline void GetMklInputList(OpKernelContext* ctext, StringPiece name,
OpInputList* input_tensors) {
CHECK_NOTNULL(input_tensors);
ctext->input_list(name, input_tensors);
}
#ifdef INTEL_MKL_ML_ONLY
inline void GetMklShapeList(OpKernelContext* ctext, StringPiece name,
MklShapeList* mkl_shapes) {
OpInputList input_mkl_tensors;
GetMklInputList(ctext, strings::StrCat("mkl_", name), &input_mkl_tensors);
for (int i = 0; i < input_mkl_tensors.size(); i++) {
(*mkl_shapes)[i].DeSerializeMklShape(
input_mkl_tensors[i].flat<uint8>().data(),
input_mkl_tensors[i].flat<uint8>().size() * sizeof(uint8));
}
}
#else
inline void GetMklShapeList(OpKernelContext* ctext, StringPiece name,
MklDnnShapeList* mkl_shapes) {
OpInputList input_mkl_tensors;
GetMklInputList(ctext, strings::StrCat("mkl_", name), &input_mkl_tensors);
for (int i = 0; i < input_mkl_tensors.size(); i++) {
(*mkl_shapes)[i].DeSerializeMklDnnShape(
input_mkl_tensors[i].flat<uint8>().data(),
input_mkl_tensors[i].flat<uint8>().size() * sizeof(uint8));
}
}
#endif
#ifndef INTEL_MKL_ML_ONLY
/// Get shape of input tensor pointed by 'input_idx' in TensorShape format.
/// If the input tensor is in MKL layout, then obtains TensorShape from
/// MklShape.
inline TensorShape GetTfShape(OpKernelContext* context, size_t input_idx) {
// Sanity check.
CHECK_NOTNULL(context);
CHECK_LT(input_idx, context->num_inputs());
MklDnnShape input_mkl_shape;
GetMklShape(context, input_idx, &input_mkl_shape);
if (input_mkl_shape.IsMklTensor()) {
return input_mkl_shape.GetTfShape();
} else {
const Tensor& t = MklGetInput(context, input_idx);
return t.shape();
}
}
#endif
#ifdef INTEL_MKL_ML_ONLY
// Allocate the second output tensor that will contain
// the MKL shape serialized
inline void AllocateOutputSetMklShape(OpKernelContext* ctext, int n,
const MklShape& mkl_shape) {
Tensor* second_tensor = nullptr;
TensorShape second_shape;
second_shape.AddDim(SIZE_OF_MKL_SERIAL_DATA(mkl_shape.GetDimension()));
OP_REQUIRES_OK(ctext, ctext->allocate_output(
GetTensorMetaDataIndex(n, ctext->num_outputs()),
second_shape, &second_tensor));
mkl_shape.SerializeMklShape(
second_tensor->flat<uint8>().data(),
second_tensor->flat<uint8>().size() * sizeof(uint8));
}
#else
// Allocate the second output tensor that will contain
// the MKL shape serialized
inline void AllocateOutputSetMklShape(OpKernelContext* ctext, int n,
const MklDnnShape& mkl_shape) {
Tensor* second_tensor = nullptr;
TensorShape second_shape;
second_shape.AddDim(mkl_shape.GetSerializeBufferSize());
OP_REQUIRES_OK(ctext, ctext->allocate_output(
GetTensorMetaDataIndex(n, ctext->num_outputs()),
second_shape, &second_tensor));
mkl_shape.SerializeMklDnnShape(
second_tensor->flat<uint8>().data(),
second_tensor->flat<uint8>().size() * sizeof(uint8));
}
#endif
#ifdef INTEL_MKL_ML_ONLY
// Allocate the output tensor, create a second output tensor that will contain
// the MKL shape serialized
inline void AllocateOutputSetMklShape(OpKernelContext* ctext, int n,
Tensor** output,
const TensorShape& tf_shape,
const MklShape& mkl_shape) {
Tensor* second_tensor = nullptr;
TensorShape second_shape;
second_shape.AddDim(SIZE_OF_MKL_SERIAL_DATA(mkl_shape.GetDimension()));
OP_REQUIRES_OK(
ctext, ctext->allocate_output(GetTensorDataIndex(n, ctext->num_outputs()),
tf_shape, output));
OP_REQUIRES_OK(ctext, ctext->allocate_output(
GetTensorMetaDataIndex(n, ctext->num_outputs()),
second_shape, &second_tensor));
mkl_shape.SerializeMklShape(
second_tensor->flat<uint8>().data(),
second_tensor->flat<uint8>().size() * sizeof(uint8));
}
#else
// Allocate the output tensor, create a second output tensor that will contain
// the MKL shape serialized
inline void AllocateOutputSetMklShape(OpKernelContext* ctext, int n,
Tensor** output,
const TensorShape& tf_shape,
const MklDnnShape& mkl_shape) {
Tensor* second_tensor = nullptr;
TensorShape second_shape;
second_shape.AddDim(mkl_shape.GetSerializeBufferSize());
OP_REQUIRES_OK(
ctext, ctext->allocate_output(GetTensorDataIndex(n, ctext->num_outputs()),
tf_shape, output));
OP_REQUIRES_OK(ctext, ctext->allocate_output(
GetTensorMetaDataIndex(n, ctext->num_outputs()),
second_shape, &second_tensor));
mkl_shape.SerializeMklDnnShape(
second_tensor->flat<uint8>().data(),
second_tensor->flat<uint8>().size() * sizeof(uint8));
}
#endif
// Allocates a temp tensor and returns the data buffer for temporary storage.
// Currently
#ifndef INTEL_MKL_ML_ONLY
template <typename T>
inline void AllocTmpBuffer(OpKernelContext* context, Tensor* tensor_out,
const memory::primitive_desc& pd, void** buf_out) {
TensorShape tf_shape;
tf_shape.AddDim(pd.get_size() / sizeof(T) + 1);
OP_REQUIRES_OK(context, context->allocate_temp(DataTypeToEnum<T>::v(),
tf_shape, tensor_out));
*buf_out = static_cast<void*>(tensor_out->flat<T>().data());
}
#else
inline void AllocTmpBuffer(OpKernelContext* context, Tensor* tensor_out,
dnnLayout_t lt_buff, void** buf_out) {
TensorShape tf_shape;
tf_shape.AddDim(
dnnLayoutGetMemorySize_F32(static_cast<dnnLayout_t>(lt_buff)) /
sizeof(float) +
1);
OP_REQUIRES_OK(context, context->allocate_temp(DataTypeToEnum<float>::v(),
tf_shape, tensor_out));
*buf_out = static_cast<void*>(tensor_out->flat<float>().data());
}
#endif
template <typename T>
inline void AllocTmpBuffer(OpKernelContext* context, Tensor* tensor_out,
TensorShape tf_shape) {
OP_REQUIRES_OK(context, context->allocate_temp(DataTypeToEnum<T>::v(),
tf_shape, tensor_out));
}
inline void GetStridesFromSizes(TensorFormat data_format, size_t* strides,
const size_t* sizes) {
// MKL requires strides in NCHW
if (data_format == FORMAT_NHWC) {
strides[0] = sizes[2];
strides[1] = sizes[0] * sizes[2];
strides[2] = 1;
strides[3] = sizes[0] * sizes[1] * sizes[2];
} else {
strides[0] = 1;
strides[1] = sizes[0];
strides[2] = sizes[0] * sizes[1];
strides[3] = sizes[0] * sizes[1] * sizes[2];
}
}
#ifdef INTEL_MKL_ML_ONLY
inline void MklSizesToTFSizes(OpKernelContext* context,
TensorFormat data_format_,
const MklShape& mkl_shape,
TensorShape* tf_shape) {
size_t tf_dim = mkl_shape.GetDimension();
const size_t* tf_sizes = mkl_shape.GetSizes();
OP_REQUIRES(context, tf_dim == 4,
errors::InvalidArgument("MKLSizesToTFSizes: size must be 4-dim"));
std::vector<int32> sizes;
sizes.push_back(tf_sizes[3]);
if (data_format_ == FORMAT_NHWC) {
sizes.push_back(tf_sizes[1]);
sizes.push_back(tf_sizes[0]);
sizes.push_back(tf_sizes[2]);
} else {
sizes.push_back(tf_sizes[2]);
sizes.push_back(tf_sizes[1]);
sizes.push_back(tf_sizes[0]);
}
OP_REQUIRES_OK(context, TensorShapeUtils::MakeShape(sizes, tf_shape));
}
#endif
inline int32 GetMklTensorDimIndex(char dimension) {
switch (dimension) {
case 'N':
return MklDims::N;
case 'C':
return MklDims::C;
case 'H':
return MklDims::H;
case 'W':
return MklDims::W;
default:
LOG(FATAL) << "Invalid dimension: " << dimension;
return -1; // Avoid compiler warning about missing return value
}
}
#ifdef INTEL_MKL_ML_ONLY
inline int64 GetMklTensorDim(const MklShape& mkl_shape, char dimension) {
int index = GetMklTensorDimIndex(dimension);
CHECK(index >= 0 && index < mkl_shape.GetDimension())
<< "Invalid index from the dimension: " << index << ", " << dimension;
return mkl_shape.dim_size(index);
}
#endif
inline void CopyMklTensorInToOut(OpKernelContext* context, int idx_in,
int idx_out) {
int num_inputs = context->num_inputs();
int num_outputs = context->num_outputs();
int idx_data_in = GetTensorDataIndex(idx_in, num_inputs);
int idx_meta_in = GetTensorMetaDataIndex(idx_in, num_inputs);
int idx_data_out = GetTensorDataIndex(idx_out, num_outputs);
int idx_meta_out = GetTensorMetaDataIndex(idx_out, num_outputs);
const Tensor& data = context->input(idx_data_in);
const Tensor& meta = context->input(idx_meta_in);
Tensor output(data.dtype());
Tensor meta_output(meta.dtype());
// TODO(intel_tf): alternatively, call forward_input_to_output_with_shape(...)
CHECK(output.CopyFrom(data, data.shape()));
CHECK(meta_output.CopyFrom(meta, meta.shape()));
context->set_output(idx_data_out, output);
context->set_output(idx_meta_out, meta_output);
}
#ifdef INTEL_MKL_ML_ONLY
inline void CopyTfTensorInToOutWithShape(OpKernelContext* context, int idx_in,
int idx_out,
const TensorShape& shape) {
int num_inputs = context->num_inputs();
int num_outputs = context->num_outputs();
int idx_data_in = GetTensorDataIndex(idx_in, num_inputs);
int idx_data_out = GetTensorDataIndex(idx_out, num_outputs);
const Tensor& data = context->input(idx_data_in);
MklShape mkl_shape_output;
mkl_shape_output.SetMklTensor(false);
AllocateOutputSetMklShape(context, idx_out, mkl_shape_output);
Tensor output(data.dtype());
// TODO(intel_tf): alternatively, call forward_input_to_output_with_shape(...)
CHECK(output.CopyFrom(data, shape));
context->set_output(idx_data_out, output);
}
#else
inline void CopyTfTensorInToOutWithShape(OpKernelContext* context, int idx_in,
int idx_out,
const TensorShape& shape) {
int num_inputs = context->num_inputs();
int num_outputs = context->num_outputs();
int idx_data_in = GetTensorDataIndex(idx_in, num_inputs);
int idx_data_out = GetTensorDataIndex(idx_out, num_outputs);
const Tensor& data = context->input(idx_data_in);
MklDnnShape mkl_shape_output;
mkl_shape_output.SetMklTensor(false);
AllocateOutputSetMklShape(context, idx_out, mkl_shape_output);
Tensor output(data.dtype());
// TODO(intel_tf): alternatively, call forward_input_to_output_with_shape(...)
CHECK(output.CopyFrom(data, shape));
context->set_output(idx_data_out, output);
}
#endif
#ifdef INTEL_MKL_ML_ONLY
inline void ForwardTfTensorInToOut(OpKernelContext* context, int idx_in,
int idx_out) {
int num_inputs = context->num_inputs();
int num_outputs = context->num_outputs();
int idx_data_in = GetTensorDataIndex(idx_in, num_inputs);
int idx_data_out = GetTensorDataIndex(idx_out, num_outputs);
MklShape mkl_shape_output;
mkl_shape_output.SetMklTensor(false);
AllocateOutputSetMklShape(context, idx_out, mkl_shape_output);
if (IsRefType(context->input_dtype(idx_data_in))) {
context->forward_ref_input_to_ref_output(idx_data_in, idx_data_out);
} else {
context->set_output(idx_data_out, context->input(idx_data_in));
}
}
#else
inline void ForwardTfTensorInToOut(OpKernelContext* context, int idx_in,
int idx_out) {
int num_inputs = context->num_inputs();
int num_outputs = context->num_outputs();
int idx_data_in = GetTensorDataIndex(idx_in, num_inputs);
int idx_data_out = GetTensorDataIndex(idx_out, num_outputs);
MklDnnShape dnn_shape_output;
dnn_shape_output.SetMklTensor(false);
AllocateOutputSetMklShape(context, idx_out, dnn_shape_output);
if (IsRefType(context->input_dtype(idx_data_in))) {
context->forward_ref_input_to_ref_output(idx_data_in, idx_data_out);
} else {
context->set_output(idx_data_out, context->input(idx_data_in));
}
}
#endif
inline void ForwardMklTensorInToOut(OpKernelContext* context, int idx_in,
int idx_out) {
int num_inputs = context->num_inputs();
int num_outputs = context->num_outputs();
int idx_data_in = GetTensorDataIndex(idx_in, num_inputs);
int idx_meta_in = GetTensorMetaDataIndex(idx_in, num_inputs);
int idx_data_out = GetTensorDataIndex(idx_out, num_outputs);
int idx_meta_out = GetTensorMetaDataIndex(idx_out, num_outputs);
if (IsRefType(context->input_dtype(idx_data_in))) {
context->forward_ref_input_to_ref_output(idx_data_in, idx_data_out);
context->forward_ref_input_to_ref_output(idx_meta_in, idx_meta_out);
} else {
context->set_output(idx_data_out, context->input(idx_data_in));
context->set_output(idx_meta_out, context->input(idx_meta_in));
}
}
#ifndef INTEL_MKL_ML_ONLY
// Set a dummy MKLDNN shape (called when the output is in TF format)
inline void SetDummyMklDnnShapeOutput(OpKernelContext* context,
uint32 idx_data_out) {
MklDnnShape mkl_shape_output;
mkl_shape_output.SetMklTensor(false);
AllocateOutputSetMklShape(context, idx_data_out, mkl_shape_output);
}
inline void ForwardMklTensorInToOutWithMklShape(OpKernelContext* context,
int idx_in, int idx_out,
const MklDnnShape& mkl_shape) {
int num_inputs = context->num_inputs();
int num_outputs = context->num_outputs();
int idx_data_in = GetTensorDataIndex(idx_in, num_inputs);
int idx_data_out = GetTensorDataIndex(idx_out, num_outputs);
AllocateOutputSetMklShape(context, idx_out, mkl_shape);
if (IsRefType(context->input_dtype(idx_data_in))) {
context->forward_ref_input_to_ref_output(idx_data_in, idx_data_out);
} else {
context->set_output(idx_data_out, context->input(idx_data_in));
}
}
#endif
// Forward the MKL shape ONLY (used in elementwise and other ops where
// we call the eigen implementation and MKL shape is not used)
inline void ForwardMklMetaDataInToOut(OpKernelContext* context,
uint32 idx_data_in,
uint32_t idx_data_out) {
uint32 idx_meta_in =
GetTensorMetaDataIndex(idx_data_in, context->num_inputs());
uint32 idx_meta_out =
GetTensorMetaDataIndex(idx_data_out, context->num_outputs());
if (IsRefType(context->input_dtype(idx_data_in))) {
context->forward_ref_input_to_ref_output(idx_meta_in, idx_meta_out);
} else {
context->set_output(idx_meta_out, context->input(idx_meta_in));
}
}
#ifdef INTEL_MKL_ML_ONLY
// Set a dummy MKL shape (called when the output is in TF format)
inline void SetDummyMklShapeOutput(OpKernelContext* context,
uint32 idx_data_out) {
MklShape mkl_shape_output;
mkl_shape_output.SetMklTensor(false);
AllocateOutputSetMklShape(context, idx_data_out, mkl_shape_output);
}
// We don't need these functions in MKLDNN. We have defined equality operator
// on MklDnnShape class directly.
// Checks if the TF shape for both MKL tensors is the same or not
// Returns: true if both TF shapes are the same, false otherwise
inline bool MklCompareShapes(const MklShape* input_shape_0,
const MklShape* input_shape_1) {
// Check for number of dimensions
if (input_shape_0->GetDimension() != input_shape_1->GetDimension()) {
return false;
}
// Check size of each dimension
size_t ndims = input_shape_0->GetDimension();
for (size_t i = 0; i < ndims; i++) {
if (input_shape_0->dim_size(i) != input_shape_1->dim_size(i)) {
return false;
}
}
return true;
}
// Checks if the TF shape for both tensors is the same or not
// Returns: true if TF shapes for both are the same, false otherwise
inline bool MklCompareShapes(const MklShape* input_shape_0,
const TensorShape* input_shape_1) {
// Check for number of dimensions
if (input_shape_0->GetDimension() != input_shape_1->dims()) {
return false;
}
// Check size of each dimension
size_t ndims = input_shape_0->GetDimension();
for (size_t i = 0; i < ndims; i++) {
if (input_shape_0->tf_dim_size(i) != input_shape_1->dim_size(i)) {
return false;
}
}
return true;
}
// Checks if the TF shape for both tensors is the same or not
// Returns: true if TF shapes for both are the same, false otherwise
inline bool MklCompareShapes(const TensorShape* input_shape_0,
const MklShape* input_shape_1) {
return MklCompareShapes(input_shape_1, input_shape_0);
}
// Checks if the TF shape for both tensors is the same or not
// Returns: true if TF shapes for both are the same, false otherwise
inline bool MklCompareShapes(const TensorShape* input_shape_0,
const TensorShape* input_shape_1) {
// Check for number of dimensions
if (input_shape_0->dims() != input_shape_1->dims()) {
return false;
}
// Check size of each dimension
size_t ndims = input_shape_0->dims();
for (size_t i = 0; i < ndims; i++) {
if (input_shape_0->dim_size(i) != input_shape_1->dim_size(i)) {
return false;
}
}
return true;
}
// These functions do not compile with MKL-DNN since mkl.h is missing.
// We may need to remove them later.
// TODO(intel_tf): Remove this routine when faster MKL layout conversion is
// out.
inline void MklNHWCToNCHW(const Tensor& input, Tensor** output) {
const float* buf_in = input.flat<float>().data();
float* buf_out = (*output)->flat<float>().data();
int64 N = input.dim_size(0);
int64 H = input.dim_size(1);
int64 W = input.dim_size(2);
int64 C = input.dim_size(3);
int64 stride_n = H * W * C;
#pragma omp parallel for num_threads(16)
for (int64 n = 0; n < N; ++n) {
mkl_somatcopy('R', 'T', H * W, C, 1, buf_in + n * stride_n, C,
buf_out + n * stride_n, H * W);
}
}
inline void MklNCHWToNHWC(const Tensor& input, Tensor** output) {
const float* buf_in = input.flat<float>().data();
float* buf_out = (*output)->flat<float>().data();
int64 N = (*output)->dim_size(0);
int64 H = (*output)->dim_size(1);
int64 W = (*output)->dim_size(2);
int64 C = (*output)->dim_size(3);
int64 stride_n = H * W * C;
#pragma omp parallel for num_threads(16)
for (int64 n = 0; n < N; ++n) {
mkl_somatcopy('R', 'T', C, H * W, 1, buf_in + n * stride_n, H * W,
buf_out + n * stride_n, C);
}
}
#endif
// -------------------------------------------------------------------
#ifndef INTEL_MKL_ML_ONLY
/// Return MKL-DNN data type (memory::data_type) for input type T
///
/// @input None
/// @return memory::data_type corresponding to type T
template <typename T>
static memory::data_type MklDnnType();
/// Instantiation for float type. Add similar instantiations for other
/// type if needed.
template <>
memory::data_type MklDnnType<float>() {
return memory::data_type::f32;
}
/// Map TensorFlow's data format into MKL-DNN 3D data format
/// @input: TensorFlow data format
/// @return: memory::format corresponding to TensorFlow data format;
/// Fails with an error if invalid data format.
inline memory::format TFDataFormatToMklDnn3DDataFormat(TensorFormat format) {
if (format == FORMAT_NHWC)
return memory::format::ndhwc;
else if (format == FORMAT_NCHW)
return memory::format::ncdhw;
TF_CHECK_OK(Status(error::Code::INVALID_ARGUMENT, "Unsupported data format"));
return memory::format::format_undef;
}
/// Map TensorFlow's data format into MKL-DNN data format
///
/// @input: TensorFlow data format
/// @return: memory::format corresponding to TensorFlow data format;
/// Fails with an error if invalid data format.
inline memory::format TFDataFormatToMklDnnDataFormat(TensorFormat format) {
if (format == FORMAT_NHWC)
return memory::format::nhwc;
else if (format == FORMAT_NCHW)
return memory::format::nchw;
TF_CHECK_OK(Status(error::Code::INVALID_ARGUMENT, "Unsupported data format"));
return memory::format::format_undef;
}
/// Map MKL-DNN data format to TensorFlow's data format
///
/// @input: memory::format
/// @return: Tensorflow data format corresponding to memory::format
/// Fails with an error if invalid data format.
inline TensorFormat MklDnnDataFormatToTFDataFormat(memory::format format) {
if (format == memory::format::nhwc || format == memory::format::ndhwc)
return FORMAT_NHWC;
else if (format == memory::format::nchw || format == memory::format::ncdhw)
return FORMAT_NCHW;
TF_CHECK_OK(Status(error::Code::INVALID_ARGUMENT, "Unsupported data format"));
// Return to prevent compiler warnings, otherwise TF_CHECK_OK will ensure
// that we don't come here.
return FORMAT_NHWC;
}
/// Map TensorShape object into memory::dims required by MKL-DNN
///
/// This function will simply map input TensorShape into MKL-DNN dims
/// naively. So it will preserve the order of dimensions. E.g., if
/// input tensor is in NHWC format, then dims will be in NHWC format
/// also.
///
/// @input TensorShape object in shape
/// @return memory::dims corresponding to TensorShape
inline memory::dims TFShapeToMklDnnDims(const TensorShape& shape) {
memory::dims dims(shape.dims());
for (int d = 0; d < shape.dims(); ++d) {
dims[d] = shape.dim_size(d);
}
return dims;
}
/// Map TensorShape object into memory::dims in NCHW format required by MKL-DNN
///
/// This function is a specific one than above function. It will map input
/// TensorShape into MKL-DNN dims in NCHW format. So it may not preserve the
/// order of dimensions. E.g., if input tensor is in NHWC format, then dims
/// will be in NCHW format, and not in NHWC format.
///
/// @input TensorShape object in shape
/// @return memory::dims in MKL-DNN required NCHW format
inline memory::dims TFShapeToMklDnnDimsInNCHW(const TensorShape& shape,
TensorFormat format) {
// Check validity of format.
CHECK_NE(TFDataFormatToMklDnnDataFormat(format),
memory::format::format_undef);
int n = shape.dim_size(GetTensorDimIndex(format, 'N'));
int c = shape.dim_size(GetTensorDimIndex(format, 'C'));
int h = shape.dim_size(GetTensorDimIndex(format, 'H'));
int w = shape.dim_size(GetTensorDimIndex(format, 'W'));
// MKL-DNN requires dimensions in NCHW format.
return memory::dims({n, c, h, w});
}
inline memory::dims TFShapeToMklDnnDimsInNCDHW(const TensorShape& shape,
TensorFormat format) {
// Check validity of format.
CHECK_NE(TFDataFormatToMklDnn3DDataFormat(format),
memory::format::format_undef);
int n = shape.dim_size(GetTensorDimIndex<3>(format, 'N'));
int c = shape.dim_size(GetTensorDimIndex<3>(format, 'C'));
int d = shape.dim_size(GetTensorDimIndex<3>(format, '0'));
int h = shape.dim_size(GetTensorDimIndex<3>(format, '1'));
int w = shape.dim_size(GetTensorDimIndex<3>(format, '2'));
// MKL-DNN requires dimensions in NCDHW format.
return memory::dims({n, c, d, h, w});
}
/// Overloaded version of function above. Input parameters are
/// self-explanatory.
inline memory::dims MklDnnDimsInNCHW(const memory::dims& in_dims,
TensorFormat format) {
// Check validity of format.
CHECK_NE(TFDataFormatToMklDnnDataFormat(format),
memory::format::format_undef);
int n = in_dims[GetTensorDimIndex(format, 'N')];
int c = in_dims[GetTensorDimIndex(format, 'C')];
int h = in_dims[GetTensorDimIndex(format, 'H')];
int w = in_dims[GetTensorDimIndex(format, 'W')];
// MKL-DNN requires dimensions in NCHW format.
return memory::dims({n, c, h, w});
}
/// Map MklDnn memory::dims object into TensorShape object.
///
/// This function will simply map input shape in MKL-DNN memory::dims format
/// in Tensorflow's TensorShape object by preserving dimension order.
///
/// @input MKL-DNN memory::dims object
/// @output TensorShape corresponding to memory::dims
inline TensorShape MklDnnDimsToTFShape(const memory::dims& dims) {
std::vector<int32> shape(dims.size(), -1);
for (int d = 0; d < dims.size(); d++) {
shape[d] = dims[d];
}
TensorShape ret;
CHECK_EQ(TensorShapeUtils::MakeShape(shape, &ret).ok(), true);
return ret;
}
/// Function to calculate strides given tensor shape in Tensorflow order
/// E.g., if dims_tf_order is {1, 2, 3, 4}, then as per Tensorflow convention,
/// dimesion with size 1 is outermost dimension; while dimension with size 4 is
/// innermost dimension. So strides for this tensor would be {4 * 3 * 2,
/// 4 * 3, 4, 1}, i.e., {24, 12, 4, 1}.
///
/// @input Tensorflow shape in memory::dims type
/// @return memory::dims containing strides for the tensor.
inline memory::dims CalculateTFStrides(const memory::dims& dims_tf_order) {
CHECK_GT(dims_tf_order.size(), 0);
memory::dims strides(dims_tf_order.size());
int last_dim_idx = dims_tf_order.size() - 1;
strides[last_dim_idx] = 1;
for (int d = last_dim_idx - 1; d >= 0; d--) {
strides[d] = strides[d + 1] * dims_tf_order[d + 1];
}
return strides;
}
inline padding_kind TFPaddingToMklDnnPadding(Padding pad) {
// MKL-DNN only supports zero padding.
return padding_kind::zero;
}
/// Helper function to create memory descriptor in Blocked format
///
/// @input: Tensor dimensions
/// @input: strides corresponding to dimensions. One can use utility
/// function such as CalculateTFStrides to compute strides
/// for given dimensions.
/// @return: memory::desc object corresponding to blocked memory format
/// for given dimensions and strides.
inline memory::desc CreateBlockedMemDescHelper(const memory::dims& dim,
const memory::dims& strides,
memory::data_type dtype) {
CHECK_EQ(dim.size(), strides.size());
// We have to construct memory descriptor in a C style. This is not at all
// ideal but MKLDNN does not offer any API to construct descriptor in
// blocked format except a copy constructor that accepts
// mkldnn_memory_desc_t.
mkldnn_memory_desc_t md;
md.primitive_kind = mkldnn_memory;
md.ndims = dim.size();
md.format = mkldnn_blocked;
md.data_type = memory::convert_to_c(dtype);
for (size_t i = 0; i < dim.size(); i++) {
md.layout_desc.blocking.block_dims[i] = 1;
md.layout_desc.blocking.strides[1][i] = 1;
md.layout_desc.blocking.strides[0][i] = strides[i];
md.layout_desc.blocking.padding_dims[i] = dim[i];
md.layout_desc.blocking.offset_padding_to_data[i] = 0;
md.dims[i] = dim[i];
}
md.layout_desc.blocking.offset_padding = 0;
return memory::desc(md);
}
template <typename T>
inline primitive FindOrCreateReorder(const memory* from, const memory* to);
/*
* Class to represent all the resources corresponding to a tensor in TensorFlow
* that are required to execute an operation (such as Convolution).
*/
template <typename T>
class MklDnnData {
private:
/// MKL-DNN memory primitive for input user memory
memory* user_memory_;
/// MKL-DNN memory primitive in case input or output reorder is needed.
memory* reorder_memory_;
/// Operations memory descriptor
memory::desc* op_md_;
// flat to indicate if data is 3D or not.
bool bIs3D;
/// Operations temp buffer
void* allocated_buffer_;
/// CPU engine on which operation will be executed
const engine* cpu_engine_;
public:
explicit MklDnnData(const engine* e)
: user_memory_(nullptr),
reorder_memory_(nullptr),
op_md_(nullptr),
allocated_buffer_(nullptr),
cpu_engine_(e) {}
~MklDnnData() {
cpu_engine_ = nullptr; // We don't own this.
delete (user_memory_);
delete (reorder_memory_);
delete (op_md_);
}
inline void* GetTensorBuffer(const Tensor* tensor) const {
CHECK_NOTNULL(tensor);
return const_cast<void*>(
static_cast<const void*>(tensor->flat<T>().data()));
}
void SetIs3DData(bool bIs3D_) { bIs3D = bIs3D_; }
bool GetIs3D() { return bIs3D; }
/// Set user memory primitive using specified dimensions, memory format and
/// data_buffer. Function automatically uses element data type by using
/// input type T used for creating call object.
///
/// In a nutshell, function allows user to describe the input tensor to
/// an operation. E.g., filter of Conv2D is of shape {1, 2, 3, 4}, and
/// memory format HWIO, and the buffer that contains actual values is
/// pointed by data_buffer.
inline void SetUsrMem(const memory::dims& dim, memory::format fm,
void* data_buffer = nullptr) {
auto md = memory::desc(dim, MklDnnType<T>(), fm);
SetUsrMem(md, data_buffer);
}
inline void SetUsrMem(const memory::dims& dim, memory::format fm,
const Tensor* tensor) {
CHECK_NOTNULL(tensor);
SetUsrMem(dim, fm, GetTensorBuffer(tensor));
}
/// Helper function to create memory descriptor in Blocked format
///
/// @input: Tensor dimensions
/// @input: strides corresponding to dimensions. One can use utility
/// function such as CalculateTFStrides to compute strides
/// for given dimensions.
/// @return: memory::desc object corresponding to blocked memory format
/// for given dimensions and strides.
static inline memory::desc CreateBlockedMemDesc(const memory::dims& dim,
const memory::dims& strides) {
return CreateBlockedMemDescHelper(dim, strides, MklDnnType<T>());
}
/// A version of SetUsrMem call that allows user to create memory in blocked
/// format. So in addition to accepting dimensions, it also accepts strides.
/// This allows user to create memory for tensor in a format that is not
/// supported by MKLDNN. E.g., MKLDNN does not support tensor format for 6
/// dimensional tensor as a native format. But by using blocked format, a user
/// can create memory for 6D tensor.
inline void SetUsrMem(const memory::dims& dim, const memory::dims& strides,
void* data_buffer = nullptr) {
CHECK_EQ(dim.size(), strides.size());
auto blocked_md = MklDnnData<T>::CreateBlockedMemDesc(dim, strides);
SetUsrMem(blocked_md, data_buffer);
}
inline void SetUsrMem(const memory::dims& dim, const memory::dims& strides,
const Tensor* tensor) {
CHECK_NOTNULL(tensor);
SetUsrMem(dim, strides, GetTensorBuffer(tensor));
}
/// A version of function to set user memory primitive that accepts memory
/// descriptor directly, instead of accepting dimensions and format. This
/// function is more generic that the one above, but the function above is
/// sufficient in most cases.
inline void SetUsrMem(const memory::desc& md, void* data_buffer = nullptr) {
auto pd = memory::primitive_desc(md, *cpu_engine_);
SetUsrMem(pd, data_buffer);
}
/// A version of SetUsrMem with memory descriptor and tensor
inline void SetUsrMem(const memory::desc& md, const Tensor* tensor) {
CHECK_NOTNULL(tensor);
SetUsrMem(md, GetTensorBuffer(tensor));
}
/// A version of function to set user memory primitive that accepts primitive
/// descriptor directly, instead of accepting dimensions and format. This
/// function is more generic that the one above, but the function above is
/// sufficient in most cases.
inline void SetUsrMem(const memory::primitive_desc& pd,
void* data_buffer = nullptr) {
CHECK_NOTNULL(cpu_engine_);
// TODO(nhasabni): can we remove dynamic memory allocation?
if (data_buffer) {
user_memory_ = new memory(pd, data_buffer);
} else {
user_memory_ = new memory(pd);
}
}
/// A version of SetUsrMem with primitive descriptor and tensor
inline void SetUsrMem(const memory::primitive_desc& pd,
const Tensor* tensor) {
CHECK_NOTNULL(tensor);
SetUsrMem(pd, GetTensorBuffer(tensor));
}
/// Get function for user memory primitive.
inline const memory* GetUsrMem() const { return user_memory_; }
/// Get function for primitive descriptor of user memory primitive.
inline const memory::primitive_desc GetUsrMemPrimDesc() const {
CHECK_NOTNULL(user_memory_);
return user_memory_->get_primitive_desc();
}
/// Get function for descriptor of user memory.
inline memory::desc GetUsrMemDesc() {
// This is ugly. Why MKL-DNN does not provide desc() method of const type??
const memory::primitive_desc pd = GetUsrMemPrimDesc();
return const_cast<memory::primitive_desc*>(&pd)->desc();
}
/// Get function for data buffer of user memory primitive.
inline void* GetUsrMemDataHandle() const {
CHECK_NOTNULL(user_memory_);
return user_memory_->get_data_handle();
}
/// Set function for data buffer of user memory primitive.
inline void SetUsrMemDataHandle(void* data_buffer) {
CHECK_NOTNULL(user_memory_);
CHECK_NOTNULL(data_buffer);
user_memory_->set_data_handle(data_buffer);
}
/// Set function for data buffer of user memory primitive.
inline void SetUsrMemDataHandle(const Tensor* tensor) {
CHECK_NOTNULL(user_memory_);
CHECK_NOTNULL(tensor);
user_memory_->set_data_handle(GetTensorBuffer(tensor));
}
/// allocate function for data buffer
inline void AllocateBuffer(size_t size) {
const int64 kMemoryAlginment = 64; // For AVX512 memory alignment.
allocated_buffer_ = cpu_allocator()->AllocateRaw(kMemoryAlginment, size);
}
inline void* GetAllocatedBuffer() { return allocated_buffer_; }
/// Get the memory primitive for input and output of an op. If inputs
/// to an op require reorders, then this function returns memory primitive
/// for reorder. Otherwise, it will return memory primitive for user memory.
///
/// E.g., Conv2D(I, F) is a primitive with I and F being inputs. Then to
/// execute Conv2D, we need memory primitive for I and F. Buf if reorder is
/// required for I and F (say I_r is reorder primitive for I; F_r is reorder
/// primitive for F), then we need I_r and F_r to perform Conv2D.
inline const memory& GetOpMem() const {
return reorder_memory_ ? *reorder_memory_ : *user_memory_;
}
/// Set memory descriptor of an operation in terms of dimensions and memory
/// format. E.g., For Conv2D, the dimensions would be same as user dimensions
/// but memory::format would be mkldnn::any because we want MKL-DNN to choose
/// best layout/format for given input dimensions.
inline void SetOpMemDesc(const memory::dims& dim, memory::format fm) {
// TODO(nhasabni): can we remove dynamic memory allocation?
op_md_ = new memory::desc(dim, MklDnnType<T>(), fm);
}
/// Get function for memory descriptor for an operation
inline const memory::desc& GetOpMemDesc() const { return *op_md_; }
/// Predicate that checks if we need to reorder user's memory into memory
/// pointed by op_pd.
///
/// @input: op_pd - memory primitive descriptor of the given input of an
/// operation
/// @return: true in case reorder of input is needed; false, otherwise.
inline bool IsReorderNeeded(const memory::primitive_desc& op_pd) const {
CHECK_NOTNULL(user_memory_);
return op_pd != user_memory_->get_primitive_desc();
}
/// Predicate that checks if we need to reorder user's memory into memory
/// based on the provided format.
///
/// @input: target_format - memory format of the given input of an
/// operation
/// @return: true in case reorder of input is needed; false, otherwise.
inline bool IsReorderNeeded(const memory::format& target_format) const {
CHECK_NOTNULL(user_memory_);
return target_format !=
user_memory_->get_primitive_desc().desc().data.format;
}
/// Function to create a reorder from memory pointed by from to memory pointed
/// by to. Returns created primitive.
inline primitive CreateReorder(const memory* from, const memory* to) const {
CHECK_NOTNULL(from);
CHECK_NOTNULL(to);
return reorder(*from, *to);
}
/// Function to handle input reordering
///
/// Check if we need to reorder this input of an operation.
/// Return true and allocate reorder memory primitive if reorder is needed.
/// Otherwise, return false and do not allocate reorder memory primitive.
///
/// To check if reorder is needed, this function compares memory primitive
/// descriptor of an operation (op_pd) for the given input with the
/// user-specified memory primitive descriptor.
///
/// @input: op_pd - memory primitive descriptor of the given input of an
/// operation
/// @input: net - net to which to add reorder primitive in case it is needed.
/// @return: true in case reorder of input is needed; false, otherwise.
inline bool CheckReorderToOpMem(const memory::primitive_desc& op_pd,
std::vector<primitive>* net) {
CHECK_NOTNULL(net);
CHECK_NOTNULL(user_memory_);
if (IsReorderNeeded(op_pd)) {
// TODO(nhasabni): can we remove dynamic memory allocation?
reorder_memory_ = new memory(op_pd);
net->push_back(CreateReorder(user_memory_, reorder_memory_));
return true;
}
return false;
}
/// TODO: this is a faster path with reorder primitive cache compared with
/// CheckReorderToOpMem(..., std::vector<primitive>* net), will remove
/// slow path in the future
inline bool CheckReorderToOpMem(const memory::primitive_desc& op_pd) {
CHECK_NOTNULL(user_memory_);
if (IsReorderNeeded(op_pd)) {
// TODO(nhasabni): can we remove dynamic memory allocation?
// primitive reuse don't allow two same reorder prim in
// one stream, so submit it immediately
reorder_memory_ = new memory(op_pd);
std::vector<primitive> net;
net.push_back(FindOrCreateReorder<T>(user_memory_, reorder_memory_));
stream(stream::kind::eager).submit(net).wait();
return true;
}
return false;
}
/// Overloaded version of above function that accepts memory buffer
/// where output of reorder needs to be stored.
///
/// @input: op_pd - memory primitive descriptor of the given input of an
/// operation
/// @reorder_data_handle - memory buffer where output of reorder needs to be
/// stored. Primitive does not check if buffer is
/// enough size to write.
/// @input: net - net to which to add reorder primitive in case it is needed.
/// @return: true in case reorder of input is needed; false, otherwise.
inline bool CheckReorderToOpMem(const memory::primitive_desc& op_pd,
void* reorder_data_handle,
std::vector<primitive>* net) {
CHECK_NOTNULL(net);
CHECK_NOTNULL(reorder_data_handle);
CHECK_NOTNULL(user_memory_);
if (IsReorderNeeded(op_pd)) {
// TODO(nhasabni): can we remove dynamic memory allocation?
reorder_memory_ = new memory(op_pd, reorder_data_handle);
net->push_back(CreateReorder(user_memory_, reorder_memory_));
return true;
}
return false;
}
/// TODO: this is a faster path with reorder primitive cache compared with
/// CheckReorderToOpMem(..., std::vector<primitive>* net), will remove
/// slow path in the future
inline bool CheckReorderToOpMem(const memory::primitive_desc& op_pd,
void* reorder_data_handle) {
CHECK_NOTNULL(reorder_data_handle);
CHECK_NOTNULL(user_memory_);
if (IsReorderNeeded(op_pd)) {
// TODO(nhasabni): can we remove dynamic memory allocation?
// primitive reuse don't allow two same reorder prim in
// one stream, so submit it immediately
std::vector<primitive> net;
reorder_memory_ = new memory(op_pd, reorder_data_handle);
net.push_back(FindOrCreateReorder<T>(user_memory_, reorder_memory_));
stream(stream::kind::eager).submit(net).wait();
return true;
}
return false;
}
/// Another overloaded version of CheckReorderToOpMem that accepts Tensor
/// where output of reorder needs to be stored.
///
/// @input: op_pd - memory primitive descriptor of the given input of an
/// operation
/// @reorder_tensor - Tensor whose buffer is to be used to store output of
/// reorder. Primitive does not check if buffer is
/// enough size to write.
/// @input: net - net to which to add reorder primitive in case it is needed.
/// @return: true in case reorder of input is needed; false, otherwise.
inline bool CheckReorderToOpMem(const memory::primitive_desc& op_pd,
Tensor* reorder_tensor,
std::vector<primitive>* net) {
CHECK_NOTNULL(net);
CHECK_NOTNULL(reorder_tensor);
return CheckReorderToOpMem(op_pd, GetTensorBuffer(reorder_tensor), net);
}
/// TODO: this is a faster path with reorder primitive cache compared with
/// CheckReorderToOpMem(..., std::vector<primitive>* net), will remove
/// slow path in the future
inline bool CheckReorderToOpMem(const memory::primitive_desc& op_pd,
Tensor* reorder_tensor) {
CHECK_NOTNULL(reorder_tensor);
return CheckReorderToOpMem(op_pd, GetTensorBuffer(reorder_tensor));
}
/// Function to handle output reorder
///
/// This function performs very similar functionality as input reordering
/// function above. The only difference is that this function does not add
/// reorder primitive to the net. The reason for this is: the reorder
/// primitive for output needs to be added to the list only after operation
/// has executed. But we need to prepare a temporary buffer in case output
/// reorder is needed. And this temporary buffer will hold the output of
/// an operation before it is fed to reorder primitive.
///
/// @input memory primitive descriptor for the given output of an operation
/// @return: true in case reorder of output is needed; false, otherwise.
inline bool PrepareReorderToUserMemIfReq(
const memory::primitive_desc& op_pd) {
CHECK_NOTNULL(user_memory_);
if (IsReorderNeeded(op_pd)) {
// TODO(nhasabni): can we remove dynamic memory allocation?
reorder_memory_ = new memory(op_pd);
return true;
}
return false;
}
/// Function to actually insert reorder primitive in the net
///
/// This function completes remaining part of output reordering. It inserts
/// a reordering primitive from the temporary buffer that holds the output
/// to the user-specified output buffer.
///
/// @input: net - net to which to add reorder primitive
inline void InsertReorderToUserMem(std::vector<primitive>* net) {
CHECK_NOTNULL(net);
CHECK_NOTNULL(user_memory_);
CHECK_NOTNULL(reorder_memory_);
net->push_back(CreateReorder(reorder_memory_, user_memory_));
}
/// TODO: this is a faster path with reorder primitive cache compared with
/// InsertReorderToUserMem(std::vector<primitive>* net), will remove
/// slow path in the future
inline void InsertReorderToUserMem() {
CHECK_NOTNULL(user_memory_);
CHECK_NOTNULL(reorder_memory_);
// primitive reuse don't allow two same reorder prim in
// one stream, so submit it immediately
std::vector<primitive> net;
net.push_back(FindOrCreateReorder<T>(reorder_memory_, user_memory_));
stream(stream::kind::eager).submit(net).wait();
}
};
/// Base class for operations with reuse of primitives
///
class MklPrimitive {
public:
virtual ~MklPrimitive() {}
// Dummy data which MKL DNN never operates on
unsigned char* DummyData = nullptr;
};
const mkldnn::memory::dims NONE_DIMS = {};
template <typename T>
class MklPrimitiveFactory {
public:
MklPrimitiveFactory() {
}
~MklPrimitiveFactory() {}
MklPrimitive* GetOp(const string& key) {
auto& map = MklPrimitiveFactory<T>::GetHashMap();
auto stream_iter = map.find(key);
if (stream_iter == map.end()) {
return nullptr;
} else {
CHECK(stream_iter->second != nullptr) << "nullptr present in map";
return stream_iter->second;
}
}
void SetOp(const string& key, MklPrimitive* op) {
auto& map = MklPrimitiveFactory<T>::GetHashMap();
auto stream_iter = map.find(key);
CHECK(stream_iter == map.end());
map[key] = op;
}
/// Function to decide whether HW has AVX512 or AVX2
/// For those legacy device(w/o AVX512 and AVX2),
/// MKL-DNN GEMM will be used.
static inline bool IsLegacyPlatform() {
return (!port::TestCPUFeature(port::CPUFeature::AVX512F)
&& !port::TestCPUFeature(port::CPUFeature::AVX2));
}
/// Fuction to check whether primitive memory optimization is enabled
static inline bool IsPrimitiveMemOptEnabled() {
bool is_primitive_mem_opt_enabled = true;
TF_CHECK_OK(ReadBoolFromEnvVar("TF_MKL_OPTIMIZE_PRIMITIVE_MEMUSE", true,
&is_primitive_mem_opt_enabled));
return is_primitive_mem_opt_enabled;
}
private:
static inline std::unordered_map<string, MklPrimitive*>& GetHashMap() {
static thread_local std::unordered_map<string, MklPrimitive*> map_;
return map_;
}
};
// utility class for creating keys of MKL primitive pool.
class FactoryKeyCreator {
public:
FactoryKeyCreator() {
key_.reserve(kMaxKeyLength);
}
~FactoryKeyCreator() {}
void AddAsKey(const string& str) { Append(str); }
void AddAsKey(const mkldnn::memory::dims &dims) {
for (unsigned int i = 0; i < dims.size(); i++) {
AddAsKey<int>(dims[i]);
}
}
template <typename T>
void AddAsKey(const T data) {
auto buffer = reinterpret_cast<const char *>(&data);
Append(StringPiece(buffer, sizeof(T)));
}
string GetKey() { return key_; }
private:
string key_;
const char delimiter = 'x';
const int kMaxKeyLength = 256;
void Append(StringPiece s) {
key_.append(string(s));
key_.append(1, delimiter);
}
};
static inline memory::format get_desired_format(int channel,
bool is_2d = true) {
memory::format fmt_desired = memory::format::any;
if (port::TestCPUFeature(port::CPUFeature::AVX512F)) {
fmt_desired = is_2d ? memory::format::nChw16c : memory::format::nCdhw16c;
} else if (port::TestCPUFeature(port::CPUFeature::AVX2) &&
(channel % 8) == 0) {
fmt_desired = is_2d ? memory::format::nChw8c
: memory::format::ncdhw; // no avx2 support for 3d yet.
} else {
fmt_desired = is_2d ? memory::format::nchw : memory::format::ncdhw;
}
return fmt_desired;
}
class MklReorderPrimitive : public MklPrimitive {
public:
explicit MklReorderPrimitive(const memory* from, const memory* to) {
Setup(from, to);
}
~MklReorderPrimitive() {}
std::shared_ptr<primitive> GetPrimitive() {
return context_.reorder_prim;
}
void SetMemory(const memory* from, const memory* to) {
context_.src_mem->set_data_handle(from->get_data_handle());
context_.dst_mem->set_data_handle(to->get_data_handle());
}
private:
struct ReorderContext {
std::shared_ptr<mkldnn::memory> src_mem;
std::shared_ptr<mkldnn::memory> dst_mem;
std::shared_ptr<primitive> reorder_prim;
ReorderContext():
src_mem(nullptr), dst_mem(nullptr), reorder_prim(nullptr) {
}
} context_;
engine cpu_engine_ = engine(engine::cpu, 0);
void Setup(const memory* from, const memory* to) {
context_.src_mem.reset(new memory(
{from->get_primitive_desc().desc(), cpu_engine_}, DummyData));
context_.dst_mem.reset(new memory(
{to->get_primitive_desc().desc(), cpu_engine_}, DummyData));
context_.reorder_prim = std::make_shared<mkldnn::reorder>(
reorder(*context_.src_mem, *context_.dst_mem));
}
};
template <typename T>
class MklReorderPrimitiveFactory : public MklPrimitiveFactory<T> {
public:
static MklReorderPrimitive* Get(const memory* from, const memory* to) {
auto reorderPrim = static_cast<MklReorderPrimitive*>(
MklReorderPrimitiveFactory<T>::GetInstance().GetReorder(from, to));
if (reorderPrim == nullptr) {
reorderPrim = new MklReorderPrimitive(from, to);
MklReorderPrimitiveFactory<T>::GetInstance().SetReorder(from, to,
reorderPrim);
}
reorderPrim->SetMemory(from, to);
return reorderPrim;
}
static MklReorderPrimitiveFactory & GetInstance() {
static MklReorderPrimitiveFactory instance_;
return instance_;
}
private:
MklReorderPrimitiveFactory() {}
~MklReorderPrimitiveFactory() {}
static string CreateKey(const memory* from, const memory* to) {
string prefix = "reorder";
FactoryKeyCreator key_creator;
auto const &from_desc = from->get_primitive_desc().desc().data;
auto const &to_desc = to->get_primitive_desc().desc().data;
const int KIdxFirstStride = 0;
memory::dims from_dims(from_desc.dims, &from_desc.dims[from_desc.ndims]);
memory::dims to_dims(to_desc.dims, &to_desc.dims[to_desc.ndims]);
memory::dims from_strides(
from_desc.layout_desc.blocking.strides[KIdxFirstStride],
&from_desc.layout_desc.blocking
.strides[KIdxFirstStride][from_desc.ndims]);
memory::dims to_strides(
to_desc.layout_desc.blocking.strides[KIdxFirstStride],
&to_desc.layout_desc.blocking
.strides[KIdxFirstStride][to_desc.ndims]);
key_creator.AddAsKey(prefix);
key_creator.AddAsKey(static_cast<int>(from_desc.format));
key_creator.AddAsKey(static_cast<int>(from_desc.data_type));
key_creator.AddAsKey(from_dims);
key_creator.AddAsKey(from_strides);
key_creator.AddAsKey(static_cast<int>(to_desc.format));
key_creator.AddAsKey(static_cast<int>(to_desc.data_type));
key_creator.AddAsKey(to_dims);
key_creator.AddAsKey(to_strides);
return key_creator.GetKey();
}
MklPrimitive* GetReorder(const memory* from, const memory* to) {
string key = CreateKey(from, to);
return this->GetOp(key);
}
void SetReorder(const memory* from, const memory* to, MklPrimitive* op) {
string key = CreateKey(from, to);
this->SetOp(key, op);
}
};
/// Fuction to find(or create) a reorder from memory pointed by
/// from to memory pointed by to, it will created primitive or
/// get primitive from pool if it is cached.
/// Returns the primitive.
template <typename T>
inline primitive FindOrCreateReorder(const memory* from, const memory* to) {
CHECK_NOTNULL(from);
CHECK_NOTNULL(to);
MklReorderPrimitive* reorder_prim =
MklReorderPrimitiveFactory<T>::Get(from, to);
return *reorder_prim->GetPrimitive();
}
// utility function to determine if it is conv 1x1 and stride != 1
// for purpose of temporarily disabling primitive reuse
inline bool IsConv1x1StrideNot1(memory::dims filter_dims,
memory::dims strides) {
if (filter_dims.size() != 4 || strides.size() != 2) return false;
return ((filter_dims[2] == 1) && (filter_dims[3] == 1) &&
((strides[0] != 1) || (strides[1] != 1)));
}
#endif // INTEL_MKL_DNN
} // namespace tensorflow
#endif // INTEL_MKL
#endif // TENSORFLOW_CORE_UTIL_MKL_UTIL_H_
|
GB_binop__pair_bool.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_bool)
// 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_bool)
// C+=b function (dense accum): GB (_Cdense_accumb__pair_bool)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__pair_bool)
// C=scalar+B GB ((none))
// C=scalar+B' GB ((none))
// C=A+scalar GB ((none))
// C=A'+scalar GB ((none))
// C type: bool
// A type: bool
// B,b type: bool
// BinaryOp: cij = 1
#define GB_ATYPE \
bool
#define GB_BTYPE \
bool
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
;
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
;
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
bool t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = 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_BOOL || GxB_NO_PAIR_BOOL)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__pair_bool)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__pair_bool)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__pair_bool)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type bool
bool bwork = (*((bool *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *restrict Cx = (bool *) 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_bool)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool 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
//------------------------------------------------------------------------------
#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
bool *Cx = (bool *) Cx_output ;
bool x = (*((bool *) x_input)) ;
bool *Bx = (bool *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
; ;
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 ;
bool *Cx = (bool *) Cx_output ;
bool *Ax = (bool *) Ax_input ;
bool y = (*((bool *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
; ;
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 \
bool
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool x = (*((const bool *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
bool
}
#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
bool y = (*((const bool *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
#endif
|
fieldize.h | #include <Python.h>
#include "numpy/arrayobject.h"
#include <new>
#include <map>
class Summer
{
public:
Summer(double * field_i, int nx_i):
field(field_i), nx(nx_i)
{};
/* virtual void doSum(const double input, const int xoff, const int yoff); */
protected:
double * const field;
const int nx;
};
//A class which interpolates data onto a regular grid, projecting
//in the x direction and using SPH interpolation.
template <class T> class SphInterp
{
public:
//field: pointer to the array where interpolated data is stored
//comp: pointer to temporary memory for Kahan summation. Not used if NO_KAHAN is defined
//nx: size of the above arrays is nx*nx
//periodic: should we assume input array is periodic?
SphInterp(T& sum_i, int nx_i, bool periodic_i):
sum(sum_i), nx(nx_i), periodic(periodic_i)
{};
//pos: array of particle positions
//radii: particule smoothing lengths
//value: amount to interpolate to grid
//weights: weights with which to interpolate
//nval: size of the above arrays
int do_work(PyArrayObject *pos, PyArrayObject *radii, PyArrayObject *value, PyArrayObject *weights, const npy_int nval);
/* { */
/* */
/* return 0; */
/* }; */
private:
T& sum;
const int nx;
const bool periodic;
};
class SimpleSummer: public Summer
{
public:
SimpleSummer(double * field_i, int nx_i):
Summer(field_i, nx_i)
{};
inline void doSum(const double input, const int xoff, const int yoff)
{
field[nx*xoff+yoff]+=input;
}
};
//As above, but interpolation uses Kahan Summation
class KahanSummer: public Summer
{
public:
KahanSummer(double * field_i, int nx_i):
Summer(field_i, nx_i)
{
//Allocate Kahan compensation array, and throw if we can't.
comp = (double *) calloc(nx*nx,sizeof(double));
if( !comp )
throw std::bad_alloc();
}
~KahanSummer()
{
free(comp);
};
/*Evaluate one iteration of Kahan Summation: sum is the current value of the field,
*comp the compensation array, input the value to add this time.*/
inline void doSum(const double input, const int xoff, const int yoff)
{
const int off = nx*xoff+yoff;
const double yy = input - *(comp+off);
const double temp = *(field+off)+yy; //Alas, field is big, y small, so low-order digits of y are lost.
*(comp+off) = (temp - *(field+off)) -yy; //(t - field) recovers the high-order part of y; subtracting y recovers -(low part of y)
*(field+off) = temp; //Algebraically, c should always be zero. Beware eagerly optimising compilers!
}
private:
double * comp;
};
//As above, but discard all interpolation except
//onto a predefined list of array elements
class DiscardingSummer: public Summer
{
public:
DiscardingSummer(double * field_i, PyArrayObject * positions, int nx_i):
Summer(field_i, nx_i)
{
npy_intp nlist = PyArray_SIZE(positions);
//Build an index of the actual positions of each item we want in the output array.
for(int i=0; i<nlist;i++)
index.insert(std::pair<int,int>(*(int64_t *)PyArray_GETPTR1(positions,i),i));
//Allocate Kahan compensation array, and throw if we can't.
comp = (double *) calloc(nlist,sizeof(double));
if( !comp )
throw std::bad_alloc();
}
/*Evaluate one iteration of Kahan Summation: sum is the current value of the field,
*comp the compensation array, input the value to add this time.*/
inline void doSum(const double input, const int xoff, const int yoff)
{
const int off = nx*xoff+yoff;
std::map<const int, const int>::const_iterator it = index.find(off);
if(it != index.end())
{
const double yy = input - comp[it->second];
const double temp = field[it->second]+yy; //Alas, field is big, y small, so low-order digits of y are lost.
comp[it->second] = temp - field[it->second] -yy; //(t - field) recovers the high-order part of y; subtracting y recovers -(low part of y)
field[it->second] = temp; //Algebraically, c should always be zero. Beware eagerly optimising compilers!
}
}
private:
std::map<const int, const int> index;
double * comp;
};
/*Compute the SPH weighting for this cell, using the trapezium rule.
* rr is the smoothing length, r0 is the distance of the cell from the center*/
double compute_sph_cell_weight(double rr, double r0);
/**
Do the hard work interpolating with an SPH kernel particles handed to us from python.
*/
template <class T> int SphInterp<T>::do_work(PyArrayObject *pos, PyArrayObject *radii, PyArrayObject *value, PyArrayObject *weights, const npy_int nval)
{
for(int p=0;p<nval;p++){
//Temp variables
float pp[2];
pp[0]= *(float *)PyArray_GETPTR2(pos,p,1);
pp[1]= *(float *)PyArray_GETPTR2(pos,p,2);
const float rr= *((float *)PyArray_GETPTR1(radii,p));
const float val= *((float *)PyArray_GETPTR1(value,p));
double weight = 1;
if (PyArray_DIM(weights,0) == nval){
weight= *((double *)PyArray_GETPTR1(weights,p));
//Why do we do this? Because PyArray_DIM(None) == 1.
//Thus, if we have been passed a single particle,
//we can set its weight to 0, and cause infinities.
if (weight == 0)
weight = 1;
}
//Max size of kernel
const int upgx = floor(pp[0]+rr);
const int upgy = floor(pp[1]+rr);
const int lowgx = floor(pp[0]-rr);
const int lowgy = floor(pp[1]-rr);
//Try to save some integrations if this particle is totally in this cell
if (lowgx==upgx && lowgy==upgy && lowgx >= 0 && lowgy >= 0){
sum.doSum(val/weight, lowgx,lowgy);
continue;
}
/*Array for storing cell weights*/
double sph_w[upgy-lowgy+1][upgx-lowgx+1];
/*Total of cell weights*/
double total=0;
/* First compute the cell weights.
* Subsample the cells if the smoothing length is O(1 cell).
* This is more accurate, and also avoids edge cases where the particle can rest just between a cell.*/
int nsub=2*((int)(2./rr))+1;
double subs[nsub];
/*Spread subsamples evenly across cell*/
for(int i=0; i < nsub; i++)
subs[i] = (i+1.)/(1.*nsub+1);
#pragma omp parallel for reduction(+:total)
for(int gy=lowgy;gy<=upgy;gy++)
for(int gx=lowgx;gx<=upgx;gx++){
sph_w[gy-lowgy][gx-lowgx]=0;
for(int iy=0; iy< nsub; iy++)
for(int ix=0; ix< nsub; ix++){
double xx = gx-pp[0]+subs[ix];
double yy = gy-pp[1]+subs[iy];
double r0 = sqrt(xx*xx+yy*yy);
sph_w[gy-lowgy][gx-lowgx]+=compute_sph_cell_weight(rr,r0)/nsub/nsub;
}
total+=sph_w[gy-lowgy][gx-lowgx];
}
// if(total > 1.05)
// tothigh++;
// if(total< 0.5)
// totlow++;
if(total == 0){
// fprintf(stderr,"Massless particle detected! rr=%g gy=%d gx=%d nsub = %d pp= %g %g \n",rr,upgy-lowgy,upgx-lowgx, nsub,-pp[0]+lowgx,-pp[1]+lowgy);
return 1;
}
/* Some cells will be only partially in the array: only partially add them.
* Then add the right fraction to the total array*/
#pragma omp parallel for
for(int gy=std::max(lowgy,0);gy<=std::min(upgy,nx-1);gy++)
for(int gx=std::max(lowgx,0);gx<=std::min(upgx,nx-1);gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx,gy);
}
//Deal with cells that have wrapped around the edges of the grid
if (periodic){
//Wrapping y over
#pragma omp parallel for
for(int gy=nx-1;gy<=upgy;gy++){
//Wrapping only y over
for(int gx=std::max(lowgx,0);gx<=std::min(upgx,nx-1);gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx,gy-(nx-1));
}
//y over, x over
for(int gx=nx-1;gx<=upgx;gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx-(nx-1),gy-(nx-1));
}
//y over, x under
for(int gx=lowgx;gx<=0;gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx+(nx-1),gy-(nx-1));
}
}
//Wrapping y under
#pragma omp parallel for
for(int gy=lowgy;gy<=0;gy++){
//Only y under
for(int gx=std::max(lowgx,0);gx<=std::min(upgx,nx-1);gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx,gy+(nx-1));
}
//y under, x over
for(int gx=nx-1;gx<=upgx;gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx-(nx-1),gy+(nx-1));
}
//y under, x under
for(int gx=lowgx;gx<=0;gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx+(nx-1),gy+(nx-1));
}
}
//Finally wrap only x
#pragma omp parallel for
for(int gy=std::max(lowgy,0);gy<=std::min(upgy,nx-1);gy++){
//x over
for(int gx=nx-1;gx<=upgx;gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx-(nx-1),gy);
}
//x under
for(int gx=lowgx;gx<=0;gx++){
sum.doSum(val*sph_w[gy-lowgy][gx-lowgx]/total/weight,gx+(nx-1),gy);
}
}
}
}
return 0;
}
|
gather_nd_op_cpu_impl.h | /* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_CORE_KERNELS_GATHER_ND_OP_CPU_IMPL_H_
#define TENSORFLOW_CORE_KERNELS_GATHER_ND_OP_CPU_IMPL_H_
// Specialization of GatherNdSlice to CPU
#define EIGEN_USE_THREADS
#include <atomic>
#include "tensorflow/core/framework/op_kernel.h"
#include "tensorflow/core/framework/register_types.h"
#include "tensorflow/core/framework/tensor.h"
#include "tensorflow/core/kernels/bounds_check.h"
#include "tensorflow/core/kernels/gather_nd_op.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/mem.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/util/util.h"
namespace tensorflow {
typedef Eigen::ThreadPoolDevice CPUDevice;
namespace generator {
template <typename T, typename Index, int IXDIM>
class GatherNdSliceGenerator {
public:
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE GatherNdSliceGenerator(
const Index slice_size, typename TTypes<Index>::ConstMatrix Tindices,
typename TTypes<T, IXDIM + 1>::ConstTensor Tparams,
typename TTypes<T>::Matrix Tout, std::atomic<Index>* error_loc)
: slice_size_(slice_size),
Tindices_(Tindices),
Tparams_(Tparams),
Tout_(Tout),
error_loc_(error_loc) {}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE bool GenerateIndices(
const Index loc, Eigen::array<Eigen::DenseIndex, IXDIM + 1>* ix) const {
(*ix)[IXDIM] = 0;
bool out_of_bounds = false;
for (int i = 0; i < IXDIM; ++i) {
const Index ix_i = internal::SubtleMustCopy(Tindices_(loc, i));
(*ix)[i] = ix_i;
out_of_bounds |= !FastBoundsCheck(ix_i, Tparams_.dimension(i));
}
return out_of_bounds;
}
EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE int32
operator()(const Eigen::array<Eigen::DenseIndex, 1>& loc_array) const {
const Index loc = loc_array[0];
Eigen::array<Eigen::DenseIndex, IXDIM + 1> ix;
Eigen::array<Eigen::DenseIndex, 2> ix_out;
ix_out[0] = loc;
ix_out[1] = 0;
const bool out_of_bounds = GenerateIndices(loc, &ix);
if (TF_PREDICT_FALSE(out_of_bounds)) {
error_loc_->store(loc);
std::fill_n(&Tout_(ix_out), slice_size_, T());
} else {
std::copy_n(&Tparams_(ix), slice_size_, &Tout_(ix_out));
}
return static_cast<int32>(0); // Return something...
}
private:
const Index slice_size_;
const typename TTypes<Index>::ConstMatrix Tindices_;
const typename TTypes<T, IXDIM + 1>::ConstTensor Tparams_;
mutable typename TTypes<T>::Matrix Tout_;
std::atomic<Index>* error_loc_;
};
} // namespace generator
namespace functor {
template <typename T, typename Index, int IXDIM>
struct GatherNdSlice<CPUDevice, T, Index, IXDIM> {
Index operator()(const CPUDevice& d, const Index slice_size,
typename TTypes<int32>::Scalar Tscratch,
typename TTypes<T, IXDIM + 1>::ConstTensor Tparams,
typename TTypes<Index>::ConstMatrix Tindices,
typename TTypes<T>::Matrix Tout) {
std::atomic<Index> error_loc(-1);
const Eigen::DenseIndex batch_size = Tindices.dimension(0);
#if !defined(EIGEN_HAS_INDEX_LIST)
Eigen::Tensor<Eigen::DenseIndex, 1>::Dimensions reshape_dims{{ 1 }};
Eigen::array<Eigen::DenseIndex, 1> broadcast_dims{{ batch_size }};
#else
Eigen::IndexList<Eigen::type2index<1> > reshape_dims;
Eigen::IndexList<Eigen::DenseIndex> broadcast_dims;
broadcast_dims.set(0, batch_size);
#endif
generator::GatherNdSliceGenerator<T, Index, IXDIM> gather_nd_generator(
slice_size, Tindices, Tparams, Tout, &error_loc);
#ifdef INTEL_MKL
// Eigen implementation below is not highly performant. gather_nd_generator
// does not seem to be called in parallel, leading to very poor performance.
// Additionally, since it uses scalar (Tscratch) to invoke 'generate', it
// needs to go through redundant operations like 'reshape', 'broadcast' and
// 'sum'. OpenMP loop below essentially does same thing as Eigen code, but
// is considerably more efficient.
#pragma omp parallel for
for (Eigen::DenseIndex i = 0; i < batch_size; i++) {
const Eigen::array<Eigen::DenseIndex, 1> loc = i;
gather_nd_generator(loc);
}
#else
Tscratch.device(d) = Tscratch.reshape(reshape_dims)
.broadcast(broadcast_dims)
.generate(gather_nd_generator)
.sum();
#endif
// error_loc() returns -1 if there's no out-of-bounds index,
// otherwise it returns the location of an OOB index in Tindices.
return error_loc.load();
}
};
#define REGISTER_GATHER_ND_FULL(T, Index) \
template Index GatherNdSlice<CPUDevice, T, Index, CPU_PROVIDED_IXDIM>:: \
operator()(const CPUDevice& d, const Index slice_size, \
typename TTypes<int32>::Scalar Tscratch, \
typename TTypes<T, CPU_PROVIDED_IXDIM + 1>::ConstTensor Tparams, \
typename TTypes<Index>::ConstMatrix Tindices, \
typename TTypes<T>::Matrix Tout);
#define REGISTER_GATHER_ND_CPU(type) \
REGISTER_GATHER_ND_FULL(type, int32); \
REGISTER_GATHER_ND_FULL(type, int64)
TF_CALL_ALL_TYPES(REGISTER_GATHER_ND_CPU);
} // namespace functor
} // namespace tensorflow
#endif // TENSORFLOW_CORE_KERNELS_GATHER_ND_OP_CPU_IMPL_H_
|
utils.c | #include "fft.h"
#include <string.h>
#include <assert.h>
#include <stdlib.h>
#include "utils.h"
#include <stdio.h>
#include "wrapper.h"
int compare (const void * a, const void * b)
{
//return ( *(double*)a - *(double*)b );
return((*(double*)a-*(double*)b>0)?1:-1);
}
int comp_struct(const void *a,const void *b)
{
Node *aa=(Node *)a;
Node *bb=(Node *)b;
return(((cabs(aa->value))<(cabs(bb->value)))?1:-1);
}
int comp_struct2(const void *a,const void *b)
{
Node *aa=(Node *)a;
Node *bb=(Node *)b;
if((aa->key)==(bb->key))
return 0;
return((aa->key)>((bb->key))?1:-1);
}
int comp_struct3(const void *a,const void *b)
{
Pair *aa=(Pair *)a;
Pair *bb=(Pair *)b;
if((aa->first)==(bb->first))
return 0;
return((aa->first)>((bb->first))?1:-1);
}
int comp_struct4(const void *a,const void *b)
{
Pair *aa=(Pair *)a;
Pair *bb=(Pair *)b;
//if((aa->first)==(bb->first))
// return 0;
return((aa->first) - ((bb->first)));
}
void
shift(complex_t *x, int n, int r){
r = (n + r)%n;
assert(n >= r);
complex_t *tmp = (complex_t *)malloc(r * sizeof(*tmp));
memcpy(tmp, x+n-r, r*sizeof(*tmp));
memmove(x+r, x, (n-r)*sizeof(*x));
memcpy(x, tmp, r*sizeof(*tmp));
free(tmp);
}
// Compute the gcd of a and b
// assumes a, b > 0.
int gcd(int a, int b){
if (a%b == 0) return b;
//if (a & (b-1) == 0) return b;
return gcd(b, a%b);
//return gcd(b, a&(b-1));
}
double phase(complex_t x){
return atan2(cimag(x), creal(x));
}
/*
inline double cabs2(complex_t x){
return (creal(x) * creal(x) + cimag(x) * cimag(x));
}
*/
// crappy inversion code I stole from elsewhere
// Undefined if gcd(a, n) > 1
int mod_inverse(int a, int n) {
int i = n, v = 0, d = 1;
while (a>0) {
int t = i/a, x = a;
a = i % x;
i = x;
x = d;
d = v - t*x;
v = x;
}
v %= n;
if (v<0) v = (v+n)%n;
return v;
}
/*
Compute the num'th smallest element of the length n input.
uses std::nth_element, but doesn't mutate input.
*/
real_t nth_element_immutable(real_t *input, int n, int num){
real_t *x = (real_t *)malloc(n*sizeof(*x));
memcpy(x, input, n*sizeof(*x));
#ifdef WRAPPER
nthelement(x, num, n);
#else
qsort(x,n,sizeof(*x),compare);
#endif
real_t ans = x[num];
free(x);
return ans;
}
/*
Output the indices corresponding to the num largest elements of samples.
Output is sorted.
int *output -- output array
int num -- size of output, euqals to the cutoff num
real_t *samples -- input array
int n -- size of input array, in this case, is B
Cut B into num
*/
void find_largest_indices(int *output, int num, real_t *samples, int n){
assert(n >= num + 1);
//use num+1 so we can use > cutoff and probably get exactly num.
//if we get fewer, the second pass uses == cutoff.
real_t cutoff = nth_element_immutable(samples, n, n-num-1);
int count = 0;
for(int i = 0; i < n; i++){
if (samples[i] > cutoff){
output[count++] = i;
}
}
//printf("count =%d, num = %d\n", count, num);
//#pragma omp parallel for schedule(static)
//for(int i = 0; i < n; i++){
// if (samples[i] >= cutoff){
// output[i] = i;
// }
//}
//printf("count =%d, num = %d\n", count, num);
if (count < num){
for(int i = 0; i < n; i++){
if (samples[i] == cutoff) {
output[count++] = i;
if (count >= num)
break;
}
}
qsort(output, count, sizeof(int), compare);
}
assert(count == num);
}
void radix(int byte, int size, int *A, int *TEMP) {
int* COUNT = (int*)calloc(256,sizeof(*COUNT));
byte = byte << 3;
for (int i = 0; i < size; ++i)
++COUNT[((A[i]) >> (byte)) & 0xFF];
for (int i = 1; i < 256; ++i)
COUNT[i] += COUNT[i - 1];
for (int i = size - 1; i >= 0; --i) {
TEMP[COUNT[(A[i] >> (byte)) & 0xFF] - 1] = A[i];
--COUNT[(A[i] >> (byte)) & 0xFF];
}
free(COUNT);
}
void radix_sort(int *A, int size) {
int* TEMP = (int*)malloc(size*sizeof(*TEMP));
for (unsigned int i = 0; i < sizeof(int); i += 2) {
// even byte
radix(i, size, A, TEMP);
// odd byte
radix(i + 1, size, TEMP, A);
}
free(TEMP);
}
void radix_filt(int byte, int size, int *A, int *TEMP, complex_t* Filter, complex_t* TMP_F) {
int* COUNT = (int*)calloc(256,sizeof(*COUNT));
byte = byte << 3;
for (int i = 0; i < size; ++i)
++COUNT[((A[i]) >> (byte)) & 0xFF];
for (int i = 1; i < 256; ++i)
COUNT[i] += COUNT[i - 1];
for (int i = size - 1; i >= 0; --i) {
TEMP[COUNT[(A[i] >> (byte)) & 0xFF] - 1] = A[i];
TMP_F[COUNT[(A[i] >> (byte)) & 0xFF] - 1] = Filter[i];
--COUNT[(A[i] >> (byte)) & 0xFF];
}
free(COUNT);
}
void radix_sort_filt(int *A, complex_t* Filter,int size) {
int *TEMP = (int*)malloc(size*sizeof(*TEMP));
complex_t *TMP_F = (complex_t*)malloc(size*sizeof(*TMP_F));
for (unsigned int i = 0; i < sizeof(int); i += 2) {
// even byte
radix_filt(i, size, A, TEMP, Filter, TMP_F);
// odd byte
radix_filt(i + 1, size, TEMP, A, TMP_F, Filter);
}
free(TEMP);
free(TMP_F);
}
int floor_to_pow2(double x){
unsigned int ans;
for(ans = 1; ans <= x; ans <<= 1)
;
return ans / 2;
}
double AWGN(complex_t *x, int n, double std_noise){
if(std_noise==0)
return 1000000000;
complex_t gn =0;
double sig_power =0;
double noise_power =0;
double snr;
double u, v;
for(int h = 0 ; h < n; h++){
sig_power += cabs(x[h])*cabs(x[h]);
u=drand48();
v=drand48();
gn = std_noise * sqrt(-2*log(u)) * cexp(2*M_PI * I * v);
noise_power += -2*log(u);
x[h] += gn;
}
noise_power = noise_power * std_noise * std_noise;
snr = sig_power/noise_power;
return snr;
}
double binomial_cdf(double prob, int n, int needed){
double ans = 0;
double choose = 1;
for(int i = n; i >= needed; i--){
ans += choose * pow(prob, i) * pow(1-prob, n-i);
choose = choose * i / (n-i+1);
}
return ans;
}
|
DRB010-lastprivatemissing-var-yes.c | /*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https://github.com/LLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
This loop has loop-carried output-dependence due to x=... at line 63.
The problem can be solved by using lastprivate(x) .
Data race pair: x@63:5 vs. x@63:5
*/
#include <stdio.h>
#include <stdlib.h>
int main(int argc, char* argv[])
{
int i,x;
int len = 10000;
if (argc>1)
len = atoi(argv[1]);
#pragma omp parallel for private(i) lastprivate(x)
for (i=0;i<len;i++)
x=i;
printf("x=%d",x);
return 0;
}
|
sample_task_multiple_producer.c | /* -*- Mode: C; c-basic-offset:4 ; indent-tabs-mode:nil ; -*- */
/*
* See LICENSE.txt in top-level directory.
*/
#include <omp.h>
#include <stdio.h>
#include <sys/time.h>
int main(int argc, char * argv[]) {
int i,num=(argc>1)?atoi(argv[1]):100;
int nthreads;
struct timeval t_start, t_end;
double time;
double *a = (double *)malloc(sizeof(double)*num);
#pragma omp parallel
{
nthreads=omp_get_num_threads();
}
for(i=0;i<num;i++){
a[i]=i;
}
gettimeofday(&t_start,NULL);
#pragma omp parallel
{
#pragma omp for
for(i=0;i<num;i++){
#pragma omp task
{
a[i]*=0.9;
}
}
}
gettimeofday(&t_end,NULL);
time=(t_end.tv_sec * 1000000 + t_end.tv_usec) -
(t_start.tv_sec * 1000000 + t_start.tv_usec);
printf("%d %f\n",nthreads,time/1000000.0);
for(i=0;i<num;i++){
if(a[i]!=i*0.9){
printf("a[%d]=%f != %f\n",i,a[i],i*0.9);
return 1;
}
}
}
|
convolutiondepthwise_5x5_pack4_bf16s.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 convdw5x5s1_pack4_bf16s_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 float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g=0; g<group; g++)
{
Mat out = top_blob.channel(g);
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + g * 4) : vdupq_n_f32(0.f);
const unsigned short* kptr = kernel.row<const unsigned short>(g);
unsigned short* outptr0 = out.row<unsigned short>(0);
unsigned short* outptr1 = out.row<unsigned short>(1);
const Mat img0 = bottom_blob.channel(g);
const unsigned short* r0 = img0.row<const unsigned short>(0);
const unsigned short* r1 = img0.row<const unsigned short>(1);
const unsigned short* r2 = img0.row<const unsigned short>(2);
const unsigned short* r3 = img0.row<const unsigned short>(3);
const unsigned short* r4 = img0.row<const unsigned short>(4);
const unsigned short* r5 = img0.row<const unsigned short>(5);
#if __aarch64__
// 4 * 25
uint16x8_t _k00_01 = vld1q_u16(kptr);
uint16x8_t _k02_03 = vld1q_u16(kptr+8);
uint16x8_t _k04_10 = vld1q_u16(kptr+16);
uint16x8_t _k11_12 = vld1q_u16(kptr+24);
uint16x8_t _k13_14 = vld1q_u16(kptr+32);
uint16x8_t _k20_21 = vld1q_u16(kptr+40);
uint16x8_t _k22_23 = vld1q_u16(kptr+48);
uint16x8_t _k24_30 = vld1q_u16(kptr+56);
uint16x8_t _k31_32 = vld1q_u16(kptr+64);
uint16x8_t _k33_34 = vld1q_u16(kptr+72);
uint16x8_t _k40_41 = vld1q_u16(kptr+80);
uint16x8_t _k42_43 = vld1q_u16(kptr+88);
uint16x4_t _k44 = vld1_u16(kptr+96);
#else // __aarch64__
float bias0_data[4];
if (bias)
{
bias0_data[0] = bias[g * 4 + 0];
bias0_data[1] = bias[g * 4 + 1];
bias0_data[2] = bias[g * 4 + 2];
bias0_data[3] = bias[g * 4 + 3];
}
else
{
bias0_data[0] = 0.f;
bias0_data[1] = 0.f;
bias0_data[2] = 0.f;
bias0_data[3] = 0.f;
}
const float* bias0_data_ptr = bias0_data;
#endif // __aarch64__
int i = 0;
#if __aarch64__
for (; i+1 < outh; i+=2)
{
int j = 0;
for (; j+3 < outw; j+=4)
{
asm volatile(
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%3], #32 \n"// r10 r11 r12 r13
"shll2 v14.4s, %18.8h, #16 \n"
"mov v24.16b, %29.16b \n"// sum00
"mov v25.16b, %29.16b \n"// sum01
"mov v26.16b, %29.16b \n"// sum02
"mov v27.16b, %29.16b \n"// sum03
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"mov v28.16b, %29.16b \n"// sum10
"mov v29.16b, %29.16b \n"// sum11
"mov v30.16b, %29.16b \n"// sum12
"mov v31.16b, %29.16b \n"// sum13
"shll v15.4s, %16.4h, #16 \n"
"fmla v24.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v25.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v26.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%3] \n"// r14 r15 r16 r17
"fmla v27.4s, v14.4s, v19.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v24.4s, v14.4s, v17.4s \n"
"fmla v25.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v26.4s, v14.4s, v19.4s \n"
"fmla v27.4s, v14.4s, v20.4s \n"
"shll2 v14.4s, %19.8h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll v15.4s, %17.4h, #16 \n"
"fmla v24.4s, v14.4s, v18.4s \n"
"fmla v25.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v26.4s, v14.4s, v20.4s \n"
"fmla v27.4s, v14.4s, v21.4s \n"
"shll v14.4s, %20.4h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll2 v15.4s, %17.8h, #16 \n"
"fmla v24.4s, v14.4s, v19.4s \n"
"fmla v25.4s, v14.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v26.4s, v14.4s, v21.4s \n"
"fmla v27.4s, v14.4s, v22.4s \n"
"shll2 v14.4s, %20.8h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%4], #32 \n"// r20 r21 r22 r23
"fmla v31.4s, v15.4s, v22.4s \n"
"shll v15.4s, %18.4h, #16 \n"
"fmla v24.4s, v14.4s, v20.4s \n"
"fmla v25.4s, v14.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v26.4s, v14.4s, v22.4s \n"
"fmla v27.4s, v14.4s, v23.4s \n"
"shll v14.4s, %21.4h, #16 \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %18.8h, #16 \n"
"fmla v24.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v25.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v26.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%4] \n"// r24 r25 r26 r27
"fmla v27.4s, v14.4s, v19.4s \n"
"shll2 v14.4s, %21.8h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll v15.4s, %19.4h, #16 \n"
"fmla v24.4s, v14.4s, v17.4s \n"
"fmla v25.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v26.4s, v14.4s, v19.4s \n"
"fmla v27.4s, v14.4s, v20.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v24.4s, v14.4s, v18.4s \n"
"fmla v25.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v26.4s, v14.4s, v20.4s \n"
"fmla v27.4s, v14.4s, v21.4s \n"
"shll2 v14.4s, %22.8h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll v15.4s, %20.4h, #16 \n"
"fmla v24.4s, v14.4s, v19.4s \n"
"fmla v25.4s, v14.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v26.4s, v14.4s, v21.4s \n"
"fmla v27.4s, v14.4s, v22.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%5], #32 \n"// r30 r31 r32 r33
"fmla v31.4s, v15.4s, v22.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v24.4s, v14.4s, v20.4s \n"
"fmla v25.4s, v14.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v26.4s, v14.4s, v22.4s \n"
"fmla v27.4s, v14.4s, v23.4s \n"
"shll2 v14.4s, %23.8h, #16 \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll v15.4s, %21.4h, #16 \n"
"fmla v24.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v25.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v26.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%5] \n"// r34 r35 r36 r37
"fmla v27.4s, v14.4s, v19.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v24.4s, v14.4s, v17.4s \n"
"fmla v25.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v26.4s, v14.4s, v19.4s \n"
"fmla v27.4s, v14.4s, v20.4s \n"
"shll2 v14.4s, %24.8h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll v15.4s, %22.4h, #16 \n"
"fmla v24.4s, v14.4s, v18.4s \n"
"fmla v25.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v26.4s, v14.4s, v20.4s \n"
"fmla v27.4s, v14.4s, v21.4s \n"
"shll v14.4s, %25.4h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll2 v15.4s, %22.8h, #16 \n"
"fmla v24.4s, v14.4s, v19.4s \n"
"fmla v25.4s, v14.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v26.4s, v14.4s, v21.4s \n"
"fmla v27.4s, v14.4s, v22.4s \n"
"shll2 v14.4s, %25.8h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%6, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%6], #32 \n"// r40 r41 r42 r43
"fmla v31.4s, v15.4s, v22.4s \n"
"shll v15.4s, %23.4h, #16 \n"
"fmla v24.4s, v14.4s, v20.4s \n"
"fmla v25.4s, v14.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v26.4s, v14.4s, v22.4s \n"
"fmla v27.4s, v14.4s, v23.4s \n"
"shll v14.4s, %26.4h, #16 \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %23.8h, #16 \n"
"fmla v24.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v25.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v26.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%6, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%6] \n"// r44 r45 r46 r47
"fmla v27.4s, v14.4s, v19.4s \n"
"shll2 v14.4s, %26.8h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll v15.4s, %24.4h, #16 \n"
"fmla v24.4s, v14.4s, v17.4s \n"
"fmla v25.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v26.4s, v14.4s, v19.4s \n"
"fmla v27.4s, v14.4s, v20.4s \n"
"shll v14.4s, %27.4h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %24.8h, #16 \n"
"fmla v24.4s, v14.4s, v18.4s \n"
"fmla v25.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v26.4s, v14.4s, v20.4s \n"
"fmla v27.4s, v14.4s, v21.4s \n"
"shll2 v14.4s, %27.8h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll v15.4s, %25.4h, #16 \n"
"fmla v24.4s, v14.4s, v19.4s \n"
"fmla v25.4s, v14.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v26.4s, v14.4s, v21.4s \n"
"fmla v27.4s, v14.4s, v22.4s \n"
"shll v14.4s, %28.4h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%2], #32 \n"// r00 r01 r02 r03
"fmla v31.4s, v15.4s, v22.4s \n"
"shll2 v15.4s, %25.8h, #16 \n"
"fmla v24.4s, v14.4s, v20.4s \n"
"fmla v25.4s, v14.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v26.4s, v14.4s, v22.4s \n"
"fmla v27.4s, v14.4s, v23.4s \n"
"shll v14.4s, %16.4h, #16 \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v24.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v25.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v26.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%2] \n"// r04 r05 r06 r07
"fmla v27.4s, v14.4s, v19.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v24.4s, v15.4s, v17.4s \n"
"fmla v25.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v26.4s, v15.4s, v19.4s \n"
"fmla v27.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %17.8h, #16 \n"
"fmla v24.4s, v14.4s, v18.4s \n"
"fmla v25.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v26.4s, v14.4s, v20.4s \n"
"fmla v27.4s, v14.4s, v21.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v24.4s, v15.4s, v19.4s \n"
"fmla v25.4s, v15.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v26.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%7, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%7], #32 \n"// r50 r51 r52 r53
"fmla v27.4s, v15.4s, v22.4s \n"
"shll v15.4s, %26.4h, #16 \n"
"fmla v24.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v25.4s, v14.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v26.4s, v14.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v27.4s, v14.4s, v23.4s \n"
"shll2 v14.4s, %26.8h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"prfm pldl1keep, [%7, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%7] \n"// r54 r55 r56 r57
"fmla v31.4s, v15.4s, v19.4s \n"
"shll v15.4s, %27.4h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v14.4s, v19.4s \n"
"fmla v31.4s, v14.4s, v20.4s \n"
"shll2 v14.4s, %27.8h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll v15.4s, %28.4h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v14.4s, v21.4s \n"
"fmla v31.4s, v14.4s, v22.4s \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shrn v24.4h, v24.4s, #16 \n"
"shrn v25.4h, v25.4s, #16 \n"
"shrn v26.4h, v26.4s, #16 \n"
"shrn v27.4h, v27.4s, #16 \n"
"shrn v28.4h, v28.4s, #16 \n"
"shrn v29.4h, v29.4s, #16 \n"
"shrn v30.4h, v30.4s, #16 \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v24.4h, v25.4h, v26.4h, v27.4h}, [%0], #32 \n"
"st1 {v28.4h, v29.4h, v30.4h, v31.4h}, [%1], #32 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(r5) // %7
: "0"(outptr0),
"1"(outptr1),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(r5),
"w"(_k00_01), // %16
"w"(_k02_03), // %17
"w"(_k04_10), // %18
"w"(_k11_12), // %19
"w"(_k13_14), // %20
"w"(_k20_21), // %21
"w"(_k22_23), // %22
"w"(_k24_30), // %23
"w"(_k31_32), // %24
"w"(_k33_34), // %25
"w"(_k40_41), // %26
"w"(_k42_43), // %27
"w"(_k44), // %28
"w"(_bias0) // %29
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
}
for (; j+1 < outw; j+=2)
{
asm volatile(
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v16.4h, v17.4h}, [%3], #16 \n"// r10 r11
"shll2 v14.4s, %18.8h, #16 \n"
"mov v28.16b, %29.16b \n"// sum00
"mov v29.16b, %29.16b \n"// sum01
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"mov v30.16b, %29.16b \n"// sum10
"mov v31.16b, %29.16b \n"// sum11
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%3] \n"// r12 r13 r14 r15
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v15.4s, %16.4h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmla v30.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll2 v14.4s, %19.8h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll v15.4s, %17.4h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%4, #128] \n"
"ld1 {v16.4h, v17.4h}, [%4], #16 \n"// r20 r21
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v14.4s, %20.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %17.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll2 v14.4s, %20.8h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll v15.4s, %18.4h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v14.4s, %21.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%4] \n"// r22 r23 r24 r25
"fmla v28.4s, v14.4s, v16.4s \n"
"shll2 v15.4s, %18.8h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll2 v14.4s, %21.8h, #16 \n"
"fmla v30.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll v15.4s, %19.4h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%5, #128] \n"
"ld1 {v16.4h, v17.4h}, [%5], #16 \n"// r30 r31
"fmla v29.4s, v14.4s, v19.4s \n"
"shll2 v14.4s, %22.8h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll v15.4s, %20.4h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll2 v14.4s, %23.8h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%5] \n"// r32 r33 r34 r35
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v15.4s, %21.4h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v30.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll2 v14.4s, %24.8h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll v15.4s, %22.4h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%6, #128] \n"
"ld1 {v16.4h, v17.4h}, [%6], #16 \n"// r40 r41
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v14.4s, %25.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %22.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll2 v14.4s, %25.8h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll v15.4s, %23.4h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v14.4s, %26.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%6, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%6] \n"// r42 r43 r44 r45
"fmla v28.4s, v14.4s, v16.4s \n"
"shll2 v15.4s, %23.8h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll2 v14.4s, %26.8h, #16 \n"
"fmla v30.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll v15.4s, %24.4h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v14.4s, %27.4h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %24.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v16.4h, v17.4h}, [%2], #16 \n"// r00 r01
"fmla v29.4s, v14.4s, v19.4s \n"
"shll2 v14.4s, %27.8h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll v15.4s, %25.4h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"prfm pldl1keep, [%7, #128] \n"
"ld1 {v22.4h, v23.4h}, [%7], #16 \n"// r50 r51
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v14.4s, %28.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %25.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v14.4s, %16.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%2] \n"// r02 r03 r04 r05
"shll v23.4s, v23.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v15.4s, %26.4h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"prfm pldl1keep, [%7, #256] \n"
"ld1 {v24.4h, v25.4h, v26.4h, v27.4h}, [%7] \n"// r52 r53 r54 r55
"shll2 v14.4s, %16.8h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %26.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v24.4s, v24.4h, #16 \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v30.4s, v15.4s, v23.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v24.4s \n"
"shll v15.4s, %27.4h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v25.4s, v25.4h, #16 \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll2 v14.4s, %17.8h, #16 \n"
"fmla v30.4s, v15.4s, v24.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v25.4s \n"
"shll2 v15.4s, %27.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"shll v26.4s, v26.4h, #16 \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v30.4s, v15.4s, v25.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v26.4s \n"
"shll v15.4s, %28.4h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v27.4s, v27.4h, #16 \n"
"fmla v30.4s, v15.4s, v26.4s \n"
"fmla v31.4s, v15.4s, v27.4s \n"
"shrn v28.4h, v28.4s, #16 \n"
"shrn v29.4h, v29.4s, #16 \n"
"shrn v30.4h, v30.4s, #16 \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v28.4h, v29.4h}, [%0], #16 \n"
"st1 {v30.4h, v31.4h}, [%1], #16 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(r5) // %7
: "0"(outptr0),
"1"(outptr1),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(r5),
"w"(_k00_01), // %16
"w"(_k02_03), // %17
"w"(_k04_10), // %18
"w"(_k11_12), // %19
"w"(_k13_14), // %20
"w"(_k20_21), // %21
"w"(_k22_23), // %22
"w"(_k24_30), // %23
"w"(_k31_32), // %24
"w"(_k33_34), // %25
"w"(_k40_41), // %26
"w"(_k42_43), // %27
"w"(_k44), // %28
"w"(_bias0) // %29
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
}
for (; j < outw; j++)
{
asm volatile(
"prfm pldl1keep, [%3, #64] \n"
"ld1 {v16.4h}, [%3], #8 \n"// r10
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%3] \n"// r11 r12 r13 r14
"mov v30.16b, %29.16b \n"// sum00
"mov v31.16b, %29.16b \n"// sum10
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"shll2 v14.4s, %18.8h, #16 \n"
"shll v15.4s, %16.4h, #16 \n"
"fmul v28.4s, v14.4s, v16.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmul v29.4s, v15.4s, v16.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v30.4s, v14.4s, v17.4s \n"
"shll2 v14.4s, %19.8h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll v15.4s, %17.4h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v14.4s, %20.4h, #16 \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %17.8h, #16 \n"
"fmla v30.4s, v14.4s, v19.4s \n"
"shll2 v14.4s, %20.8h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll v15.4s, %18.4h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v14.4s, %21.4h, #16 \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"prfm pldl1keep, [%4, #64] \n"
"ld1 {v16.4h}, [%4], #8 \n"// r20
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%4] \n"// r21 r22 r23 r24
"shll2 v15.4s, %18.8h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v14.4s, v16.4s \n"
"shll2 v14.4s, %21.8h, #16 \n"
"fmla v31.4s, v15.4s, v16.4s \n"
"shll v15.4s, %19.4h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v30.4s, v14.4s, v18.4s \n"
"shll2 v14.4s, %22.8h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll v15.4s, %20.4h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"shll2 v14.4s, %23.8h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"prfm pldl1keep, [%5, #64] \n"
"ld1 {v16.4h}, [%5], #8 \n"// r30
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%5] \n"// r31 r32 r33 r34
"shll v15.4s, %21.4h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v29.4s, v15.4s, v16.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v30.4s, v14.4s, v17.4s \n"
"shll2 v14.4s, %24.8h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll v15.4s, %22.4h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v14.4s, %25.4h, #16 \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %22.8h, #16 \n"
"fmla v30.4s, v14.4s, v19.4s \n"
"shll2 v14.4s, %25.8h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll v15.4s, %23.4h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v14.4s, %26.4h, #16 \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"prfm pldl1keep, [%6, #64] \n"
"ld1 {v16.4h}, [%6], #8 \n"// r40
"prfm pldl1keep, [%6, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%6] \n"// r41 r42 r43 r44
"shll2 v15.4s, %23.8h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v14.4s, v16.4s \n"
"shll2 v14.4s, %26.8h, #16 \n"
"fmla v31.4s, v15.4s, v16.4s \n"
"shll v15.4s, %24.4h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v14.4s, %27.4h, #16 \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %24.8h, #16 \n"
"fmla v30.4s, v14.4s, v18.4s \n"
"shll2 v14.4s, %27.8h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll v15.4s, %25.4h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"shll v14.4s, %28.4h, #16 \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %25.8h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"shll v14.4s, %16.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"prfm pldl1keep, [%2, #64] \n"
"ld1 {v16.4h}, [%2], #8 \n"// r00
"prfm pldl1keep, [%7, #64] \n"
"ld1 {v21.4h}, [%7], #8 \n"// r50
"prfm pldl1keep, [%7, #256] \n"
"ld1 {v22.4h, v23.4h, v24.4h, v25.4h}, [%7] \n"// r51 r52 r53 r54
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%2] \n"// r01 r02 r03 r04
"shll v15.4s, %26.4h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v21.4s, v21.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"shll v22.4s, v22.4h, #16 \n"
"shll v23.4s, v23.4h, #16 \n"
"shll v24.4s, v24.4h, #16 \n"
"shll v25.4s, v25.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll2 v14.4s, %16.8h, #16 \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"shll2 v15.4s, %26.8h, #16 \n"
"fmla v30.4s, v14.4s, v17.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v31.4s, v15.4s, v22.4s \n"
"shll v15.4s, %27.4h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll2 v14.4s, %17.8h, #16 \n"
"fmla v29.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %27.8h, #16 \n"
"fmla v30.4s, v14.4s, v19.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v31.4s, v15.4s, v24.4s \n"
"shll v15.4s, %28.4h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"fmla v29.4s, v15.4s, v25.4s \n"
"fadd v30.4s, v30.4s, v28.4s \n"
"fadd v31.4s, v31.4s, v29.4s \n"
"shrn v30.4h, v30.4s, #16 \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v30.4h}, [%0], #8 \n"
"st1 {v31.4h}, [%1], #8 \n"
: "=r"(outptr0), // %0
"=r"(outptr1), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(r5) // %7
: "0"(outptr0),
"1"(outptr1),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(r5),
"w"(_k00_01), // %16
"w"(_k02_03), // %17
"w"(_k04_10), // %18
"w"(_k11_12), // %19
"w"(_k13_14), // %20
"w"(_k20_21), // %21
"w"(_k22_23), // %22
"w"(_k24_30), // %23
"w"(_k31_32), // %24
"w"(_k33_34), // %25
"w"(_k40_41), // %26
"w"(_k42_43), // %27
"w"(_k44), // %28
"w"(_bias0) // %29
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
}
r0 += 4*4 + w*4;
r1 += 4*4 + w*4;
r2 += 4*4 + w*4;
r3 += 4*4 + w*4;
r4 += 4*4 + w*4;
r5 += 4*4 + w*4;
outptr0 += outw*4;
outptr1 += outw*4;
}
#endif // __aarch64__
for (; i < outh; i++)
{
int j = 0;
for (; j+3 < outw; j+=4)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%1], #32 \n"// r00 r01 r02 r03
"shll v14.4s, %12.4h, #16 \n"
"mov v28.16b, %25.16b \n"// sum00
"mov v29.16b, %25.16b \n"// sum01
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"mov v30.16b, %25.16b \n"// sum02
"mov v31.16b, %25.16b \n"// sum03
"shll2 v15.4s, %12.8h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v30.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%1] \n"// r04 r05 r06 r07
"fmla v31.4s, v14.4s, v19.4s \n"
"shll v14.4s, %13.4h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %13.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"fmla v31.4s, v14.4s, v21.4s \n"
"shll v14.4s, %14.4h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%2], #32 \n"// r10 r11 r12 r13
"fmla v31.4s, v15.4s, v22.4s \n"
"shll2 v15.4s, %14.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v14.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v14.4s, v23.4s \n"
"shll v14.4s, %15.4h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%2] \n"// r14 r15 r16 r17
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %15.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v14.4s, v19.4s \n"
"fmla v31.4s, v14.4s, v20.4s \n"
"shll v14.4s, %16.4h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v14.4s, v21.4s \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%3], #32 \n"// r20 r21 r22 r23
"fmla v31.4s, v14.4s, v22.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %17.8h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v30.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%3] \n"// r24 r25 r26 r27
"fmla v31.4s, v14.4s, v19.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %18.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"fmla v31.4s, v14.4s, v21.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%4], #32 \n"// r30 r31 r32 r33
"fmla v31.4s, v15.4s, v22.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v14.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v14.4s, v23.4s \n"
"shll v14.4s, %20.4h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%4] \n"// r34 r35 r36 r37
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v14.4s, v19.4s \n"
"fmla v31.4s, v14.4s, v20.4s \n"
"shll v14.4s, %21.4h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v14.4s, v21.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%5], #32 \n"// r40 r41 r42 r43
"fmla v31.4s, v14.4s, v22.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %22.8h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v30.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%5] \n"// r44 r45 r46 r47
"fmla v31.4s, v14.4s, v19.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %23.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"fmla v31.4s, v14.4s, v21.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"fmla v31.4s, v15.4s, v22.4s \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v14.4s, v22.4s \n"
"fmla v31.4s, v14.4s, v23.4s \n"
"shrn v28.4h, v28.4s, #16 \n"
"shrn v29.4h, v29.4s, #16 \n"
"shrn v30.4h, v30.4s, #16 \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v28.4h, v29.4h, v30.4h, v31.4h}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4) // %5
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"w"(_k00_01), // %12
"w"(_k02_03), // %13
"w"(_k04_10), // %14
"w"(_k11_12), // %15
"w"(_k13_14), // %16
"w"(_k20_21), // %17
"w"(_k22_23), // %18
"w"(_k24_30), // %19
"w"(_k31_32), // %20
"w"(_k33_34), // %21
"w"(_k40_41), // %22
"w"(_k42_43), // %23
"w"(_k44), // %24
"w"(_bias0) // %25
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
#else // __aarch64__
asm volatile(
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"pld [%2, #256] \n"
"vld1.u16 {d4-d7}, [%2 :64]! \n"// r00 r01 r02 r03
"vshll.u16 q8, d20, #16 \n"// k00
"pld [%1, #128] \n"
"vld1.f32 {d24-d25}, [%1] \n"
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vmov q13, q12 \n"// sum0 sum1
"vmov q14, q12 \n"
"vshll.u16 q9, d21, #16 \n"// k01
"vmov q15, q12 \n"// sum2 sum3
"vmla.f32 q12, q8, q0 \n"
"vshll.u16 q2, d6, #16 \n"
"vmla.f32 q13, q8, q1 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q8, q2 \n"
"pld [%2, #256] \n"
"vld1.u16 {d12-d15}, [%2 :64] \n"// r04 r05 r06 r07
"vmla.f32 q15, q8, q3 \n"
"vshll.u16 q10, d22, #16 \n"// k02
"vmla.f32 q12, q9, q1 \n"
"vmla.f32 q13, q9, q2 \n"
"vshll.u16 q4, d12, #16 \n"
"vmla.f32 q14, q9, q3 \n"
"vmla.f32 q15, q9, q4 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q11, d23, #16 \n"// k03
"vmla.f32 q12, q10, q2 \n"
"vmla.f32 q13, q10, q3 \n"
"vshll.u16 q5, d13, #16 \n"
"vmla.f32 q14, q10, q4 \n"
"vmla.f32 q15, q10, q5 \n"
"vshll.u16 q10, d16, #16 \n"// k04
"vmla.f32 q12, q11, q3 \n"
"vmla.f32 q13, q11, q4 \n"
"vshll.u16 q6, d14, #16 \n"
"vmla.f32 q14, q11, q5 \n"
"pld [%3, #256] \n"
"vld1.u16 {d4-d7}, [%3 :64]! \n"// r10 r11 r12 r13
"vmla.f32 q15, q11, q6 \n"
"vshll.u16 q11, d17, #16 \n"// k10
"vmla.f32 q12, q10, q4 \n"
"vshll.u16 q0, d4, #16 \n"
"vmla.f32 q13, q10, q5 \n"
"vshll.u16 q7, d15, #16 \n"
"vmla.f32 q14, q10, q6 \n"
"vshll.u16 q1, d5, #16 \n"
"vmla.f32 q15, q10, q7 \n"
"vshll.u16 q8, d18, #16 \n"// k11
"vmla.f32 q12, q11, q0 \n"
"vshll.u16 q2, d6, #16 \n"
"vmla.f32 q13, q11, q1 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q11, q2 \n"
"pld [%3, #256] \n"
"vld1.u16 {d12-d15}, [%3 :64] \n"// r14 r15 r16 r17
"vmla.f32 q15, q11, q3 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q9, d19, #16 \n"// k12
"vmla.f32 q12, q8, q1 \n"
"vmla.f32 q13, q8, q2 \n"
"vshll.u16 q4, d12, #16 \n"
"vmla.f32 q14, q8, q3 \n"
"vmla.f32 q15, q8, q4 \n"
"vshll.u16 q8, d20, #16 \n"// k13
"vmla.f32 q12, q9, q2 \n"
"vmla.f32 q13, q9, q3 \n"
"vshll.u16 q5, d13, #16 \n"
"vmla.f32 q14, q9, q4 \n"
"vmla.f32 q15, q9, q5 \n"
"vshll.u16 q9, d21, #16 \n"// k14
"vmla.f32 q12, q8, q3 \n"
"vmla.f32 q13, q8, q4 \n"
"vshll.u16 q6, d14, #16 \n"
"vmla.f32 q14, q8, q5 \n"
"pld [%4, #256] \n"
"vld1.u16 {d4-d7}, [%4 :64]! \n"// r20 r21 r22 r23
"vmla.f32 q15, q8, q6 \n"
"vshll.u16 q10, d22, #16 \n"// k20
"vmla.f32 q12, q9, q4 \n"
"vshll.u16 q0, d4, #16 \n"
"vmla.f32 q13, q9, q5 \n"
"vshll.u16 q7, d15, #16 \n"
"vmla.f32 q14, q9, q6 \n"
"vshll.u16 q1, d5, #16 \n"
"vmla.f32 q15, q9, q7 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q11, d23, #16 \n"// k21
"vmla.f32 q12, q10, q0 \n"
"vshll.u16 q2, d6, #16 \n"
"vmla.f32 q13, q10, q1 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q10, q2 \n"
"pld [%4, #256] \n"
"vld1.u16 {d12-d15}, [%4 :64] \n"// r24 r25 r26 r27
"vmla.f32 q15, q10, q3 \n"
"vshll.u16 q10, d16, #16 \n"// k22
"vmla.f32 q12, q11, q1 \n"
"vmla.f32 q13, q11, q2 \n"
"vshll.u16 q4, d12, #16 \n"
"vmla.f32 q14, q11, q3 \n"
"vmla.f32 q15, q11, q4 \n"
"vshll.u16 q11, d17, #16 \n"// k23
"vmla.f32 q12, q10, q2 \n"
"vmla.f32 q13, q10, q3 \n"
"vshll.u16 q5, d13, #16 \n"
"vmla.f32 q14, q10, q4 \n"
"vmla.f32 q15, q10, q5 \n"
"vshll.u16 q8, d18, #16 \n"// k24
"vmla.f32 q12, q11, q3 \n"
"vmla.f32 q13, q11, q4 \n"
"vshll.u16 q6, d14, #16 \n"
"vmla.f32 q14, q11, q5 \n"
"pld [%5, #256] \n"
"vld1.u16 {d4-d7}, [%5 :64]! \n"// r30 r31 r32 r33
"vmla.f32 q15, q11, q6 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q9, d19, #16 \n"// k30
"vmla.f32 q12, q8, q4 \n"
"vshll.u16 q0, d4, #16 \n"
"vmla.f32 q13, q8, q5 \n"
"vshll.u16 q7, d15, #16 \n"
"vmla.f32 q14, q8, q6 \n"
"vshll.u16 q1, d5, #16 \n"
"vmla.f32 q15, q8, q7 \n"
"vshll.u16 q8, d20, #16 \n"// k31
"vmla.f32 q12, q9, q0 \n"
"vshll.u16 q2, d6, #16 \n"
"vmla.f32 q13, q9, q1 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q9, q2 \n"
"pld [%5, #256] \n"
"vld1.u16 {d12-d15}, [%5 :64] \n"// r34 r35 r36 r37
"vmla.f32 q15, q9, q3 \n"
"vshll.u16 q9, d21, #16 \n"// k32
"vmla.f32 q12, q8, q1 \n"
"vmla.f32 q13, q8, q2 \n"
"vshll.u16 q4, d12, #16 \n"
"vmla.f32 q14, q8, q3 \n"
"vmla.f32 q15, q8, q4 \n"
"vshll.u16 q10, d22, #16 \n"// k33
"vmla.f32 q12, q9, q2 \n"
"vmla.f32 q13, q9, q3 \n"
"vshll.u16 q5, d13, #16 \n"
"vmla.f32 q14, q9, q4 \n"
"vmla.f32 q15, q9, q5 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vmla.f32 q12, q10, q3 \n"
"vshll.u16 q11, d23, #16 \n"// k34
"vmla.f32 q13, q10, q4 \n"
"vshll.u16 q6, d14, #16 \n"
"vmla.f32 q14, q10, q5 \n"
"pld [%6, #256] \n"
"vld1.u16 {d4-d7}, [%6 :64]! \n"// r40 r41 r42 r43
"vmla.f32 q15, q10, q6 \n"
"vshll.u16 q10, d16, #16 \n"// k40
"vmla.f32 q12, q11, q4 \n"
"vshll.u16 q0, d4, #16 \n"
"vmla.f32 q13, q11, q5 \n"
"vshll.u16 q7, d15, #16 \n"
"vmla.f32 q14, q11, q6 \n"
"vshll.u16 q1, d5, #16 \n"
"vmla.f32 q15, q11, q7 \n"
"vshll.u16 q11, d17, #16 \n"// k41
"vmla.f32 q12, q10, q0 \n"
"vshll.u16 q2, d6, #16 \n"
"vmla.f32 q13, q10, q1 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q10, q2 \n"
"pld [%6, #256] \n"
"vld1.u16 {d12-d15}, [%6 :64] \n"// r44 r45 r46 r47
"vmla.f32 q15, q10, q3 \n"
"vshll.u16 q8, d18, #16 \n"// k42
"vmla.f32 q12, q11, q1 \n"
"vmla.f32 q13, q11, q2 \n"
"vshll.u16 q4, d12, #16 \n"
"vmla.f32 q14, q11, q3 \n"
"vmla.f32 q15, q11, q4 \n"
"pld [%7, #64] \n"
"vld1.u16 {d20}, [%7 :64] \n"
"vmla.f32 q12, q8, q2 \n"
"vshll.u16 q9, d19, #16 \n"// k43
"vmla.f32 q13, q8, q3 \n"
"vshll.u16 q5, d13, #16 \n"
"vmla.f32 q14, q8, q4 \n"
"vmla.f32 q15, q8, q5 \n"
"vshll.u16 q8, d20, #16 \n"// k44
"vmla.f32 q12, q9, q3 \n"
"vmla.f32 q13, q9, q4 \n"
"vshll.u16 q6, d14, #16 \n"
"vmla.f32 q14, q9, q5 \n"
"vmla.f32 q15, q9, q6 \n"
"vmla.f32 q12, q8, q4 \n"
"vmla.f32 q13, q8, q5 \n"
"vshll.u16 q7, d15, #16 \n"
"vmla.f32 q14, q8, q6 \n"
"vmla.f32 q15, q8, q7 \n"
"sub %7, %7, #192 \n"// kptr -= 24 * 4;
"vshrn.u32 d24, q12, #16 \n"
"vshrn.u32 d25, q13, #16 \n"
"vshrn.u32 d26, q14, #16 \n"
"vshrn.u32 d27, q15, #16 \n"
"vst1.u16 {d24-d27}, [%0 :64]! \n"
: "=r"(outptr0), // %0
"=r"(bias0_data_ptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(kptr) // %7
: "0"(outptr0),
"1"(bias0_data_ptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
}
for (; j+1 < outw; j+=2)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v16.4h, v17.4h}, [%1], #16 \n"// r00 r01
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%1] \n"// r02 r03 r04 r05
"shll v14.4s, %12.4h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"mov v30.16b, %25.16b \n"// sum01
"mov v31.16b, %25.16b \n"// sum02
"shll2 v15.4s, %12.8h, #16 \n"
"fmul v28.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmul v29.4s, v14.4s, v17.4s \n"
"shll v14.4s, %13.4h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v16.4h, v17.4h}, [%2], #16 \n"// r10 r11
"shll2 v15.4s, %13.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v14.4s, %14.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %14.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%2] \n"// r12 r13 r14 r15
"shll v14.4s, %15.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v30.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %15.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v16.4h, v17.4h}, [%3], #16 \n"// r20 r21
"shll v14.4s, %16.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%3] \n"// r22 r23 r24 r25
"shll2 v15.4s, %17.8h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"prfm pldl1keep, [%4, #128] \n"
"ld1 {v16.4h, v17.4h}, [%4], #16 \n"// r30 r31
"shll2 v15.4s, %18.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%4] \n"// r32 r33 r34 r35
"shll v14.4s, %20.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v30.4s, v15.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"prfm pldl1keep, [%5, #128] \n"
"ld1 {v16.4h, v17.4h}, [%5], #16 \n"// r40 r41
"shll v14.4s, %21.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v18.4h, v19.4h, v20.4h, v21.4h}, [%5] \n"// r42 r43 r44 r45
"shll2 v15.4s, %22.8h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v29.4s, v14.4s, v17.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %23.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"fadd v30.4s, v30.4s, v28.4s \n"
"fadd v31.4s, v31.4s, v29.4s \n"
"shrn v30.4h, v30.4s, #16 \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v30.4h, v31.4h}, [%0], #16 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4) // %5
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"w"(_k00_01), // %12
"w"(_k02_03), // %13
"w"(_k04_10), // %14
"w"(_k11_12), // %15
"w"(_k13_14), // %16
"w"(_k20_21), // %17
"w"(_k22_23), // %18
"w"(_k24_30), // %19
"w"(_k31_32), // %20
"w"(_k33_34), // %21
"w"(_k40_41), // %22
"w"(_k42_43), // %23
"w"(_k44), // %24
"w"(_bias0) // %25
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
#else // __aarch64__
asm volatile(
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"pld [%2, #128] \n"
"vld1.u16 {d2-d3}, [%2 :64]! \n"// r00 r01
"vshll.u16 q8, d20, #16 \n"// k00
"pld [%1, #128] \n"
"vld1.f32 {d24-d25}, [%1] \n"
"pld [%2, #256] \n"
"vld1.u16 {d8-d11}, [%2 :64] \n"// r02 r03 r04 r05
"vshll.u16 q0, d2, #16 \n"
"vmov q13, q12 \n"// sum0 sum1
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q9, d21, #16 \n"// k01
"vmul.f32 q14, q8, q0 \n"
"vshll.u16 q2, d8, #16 \n"
"vmul.f32 q15, q8, q1 \n"
"vshll.u16 q10, d22, #16 \n"// k02
"vmla.f32 q12, q9, q1 \n"
"pld [%3, #128] \n"
"vld1.u16 {d2-d3}, [%3 :64]! \n"// r10 r11
"vshll.u16 q3, d9, #16 \n"
"vmla.f32 q13, q9, q2 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q11, d23, #16 \n"// k03
"vmla.f32 q14, q10, q2 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q15, q10, q3 \n"
"vshll.u16 q10, d16, #16 \n"// k04
"vmla.f32 q12, q11, q3 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q13, q11, q4 \n"
"vshll.u16 q11, d17, #16 \n"// k10
"vmla.f32 q14, q10, q4 \n"
"vshll.u16 q0, d2, #16 \n"
"vmla.f32 q15, q10, q5 \n"
"pld [%3, #256] \n"
"vld1.u16 {d8-d11}, [%3 :64] \n"// r12 r13 r14 r15
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q8, d18, #16 \n"// k11
"vmla.f32 q12, q11, q0 \n"
"vshll.u16 q2, d8, #16 \n"
"vmla.f32 q13, q11, q1 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q9, d19, #16 \n"// k12
"vmla.f32 q14, q8, q1 \n"
"pld [%4, #128] \n"
"vld1.u16 {d2-d3}, [%4 :64]! \n"// r20 r21
"vshll.u16 q3, d9, #16 \n"
"vmla.f32 q15, q8, q2 \n"
"vshll.u16 q8, d20, #16 \n"// k13
"vmla.f32 q12, q9, q2 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q13, q9, q3 \n"
"vshll.u16 q9, d21, #16 \n"// k14
"vmla.f32 q14, q8, q3 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q15, q8, q4 \n"
"vshll.u16 q10, d22, #16 \n"// k20
"vmla.f32 q12, q9, q4 \n"
"vshll.u16 q0, d2, #16 \n"
"vmla.f32 q13, q9, q5 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"pld [%4, #256] \n"
"vld1.u16 {d8-d11}, [%4 :64] \n"// r22 r23 r24 r25
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q11, d23, #16 \n"// k21
"vmla.f32 q14, q10, q0 \n"
"vshll.u16 q2, d8, #16 \n"
"vmla.f32 q15, q10, q1 \n"
"vshll.u16 q10, d16, #16 \n"// k22
"vmla.f32 q12, q11, q1 \n"
"pld [%5, #128] \n"
"vld1.u16 {d2-d3}, [%5 :64]! \n"// r30 r31
"vshll.u16 q3, d9, #16 \n"
"vmla.f32 q13, q11, q2 \n"
"vshll.u16 q11, d17, #16 \n"// k23
"vmla.f32 q14, q10, q2 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q15, q10, q3 \n"
"vshll.u16 q8, d18, #16 \n"// k24
"vmla.f32 q12, q11, q3 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q13, q11, q4 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q9, d19, #16 \n"// k30
"vmla.f32 q14, q8, q4 \n"
"vshll.u16 q0, d2, #16 \n"
"vmla.f32 q15, q8, q5 \n"
"pld [%5, #256] \n"
"vld1.u16 {d8-d11}, [%5 :64] \n"// r32 r33 r34 r35
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q8, d20, #16 \n"// k31
"vmla.f32 q12, q9, q0 \n"
"vshll.u16 q2, d8, #16 \n"
"vmla.f32 q13, q9, q1 \n"
"vshll.u16 q9, d21, #16 \n"// k32
"vmla.f32 q14, q8, q1 \n"
"pld [%6, #128] \n"
"vld1.u16 {d2-d3}, [%6 :64]! \n"// r40 r41
"vshll.u16 q3, d9, #16 \n"
"vmla.f32 q15, q8, q2 \n"
"vshll.u16 q10, d22, #16 \n"// k33
"vmla.f32 q12, q9, q2 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q13, q9, q3 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q11, d23, #16 \n"// k34
"vmla.f32 q14, q10, q3 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q15, q10, q4 \n"
"vshll.u16 q10, d16, #16 \n"// k40
"vmla.f32 q12, q11, q4 \n"
"vshll.u16 q0, d2, #16 \n"
"vmla.f32 q13, q11, q5 \n"
"pld [%6, #256] \n"
"vld1.u16 {d8-d11}, [%6 :64] \n"// r42 r43 r44 r45
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q11, d17, #16 \n"// k41
"vmla.f32 q14, q10, q0 \n"
"vshll.u16 q2, d8, #16 \n"
"vmla.f32 q15, q10, q1 \n"
"vshll.u16 q8, d18, #16 \n"// k42
"vmla.f32 q12, q11, q1 \n"
"vshll.u16 q3, d9, #16 \n"
"vmla.f32 q13, q11, q2 \n"
"pld [%7, #64] \n"
"vld1.u16 {d20}, [%7 :64] \n"
"vshll.u16 q9, d19, #16 \n"// k43
"vmla.f32 q14, q8, q2 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q15, q8, q3 \n"
"vshll.u16 q8, d20, #16 \n"// k44
"vmla.f32 q12, q9, q3 \n"
"vmla.f32 q13, q9, q4 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q14, q8, q4 \n"
"vmla.f32 q15, q8, q5 \n"
"vadd.f32 q12, q12, q14 \n"
"vadd.f32 q13, q13, q15 \n"
"sub %7, %7, #192 \n"// kptr -= 24 * 4;
"vshrn.u32 d24, q12, #16 \n"
"vshrn.u32 d25, q13, #16 \n"
"vst1.u16 {d24-d25}, [%0 :64]! \n"
: "=r"(outptr0), // %0
"=r"(bias0_data_ptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(kptr) // %7
: "0"(outptr0),
"1"(bias0_data_ptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
}
for (; j < outw; j++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #64] \n"
"ld1 {v16.4h}, [%1], #8 \n"// r00
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%1] \n"// r01 r02 r03 r04
"shll v14.4s, %12.4h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"mov v31.16b, %25.16b \n"// sum01
"shll2 v15.4s, %12.8h, #16 \n"
"fmul v28.4s, v14.4s, v16.4s \n"
"shll v14.4s, %13.4h, #16 \n"
"fmul v29.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %13.8h, #16 \n"
"fmul v30.4s, v14.4s, v18.4s \n"
"shll v14.4s, %14.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %14.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"prfm pldl1keep, [%2, #64] \n"
"ld1 {v16.4h}, [%2], #8 \n"// r10
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%2] \n"// r11 r12 r13 r14
"shll v14.4s, %15.4h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v15.4s, v16.4s \n"
"shll2 v15.4s, %15.8h, #16 \n"
"fmla v30.4s, v14.4s, v17.4s \n"
"shll v14.4s, %16.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"prfm pldl1keep, [%3, #64] \n"
"ld1 {v16.4h}, [%3], #8 \n"// r20
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%3] \n"// r21 r22 r23 r24
"shll2 v15.4s, %17.8h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v14.4s, v16.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %18.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"prfm pldl1keep, [%4, #64] \n"
"ld1 {v16.4h}, [%4], #8 \n"// r30
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%4] \n"// r31 r32 r33 r34
"shll v14.4s, %20.4h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v16.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v14.4s, %21.4h, #16 \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v30.4s, v14.4s, v19.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"prfm pldl1keep, [%5, #64] \n"
"ld1 {v16.4h}, [%5], #8 \n"// r40
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v17.4h, v18.4h, v19.4h, v20.4h}, [%5] \n"// r41 r42 r43 r44
"shll2 v15.4s, %22.8h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %23.8h, #16 \n"
"fmla v30.4s, v14.4s, v18.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"fadd v29.4s, v29.4s, v30.4s \n"
"fadd v31.4s, v31.4s, v28.4s \n"
"fadd v31.4s, v31.4s, v29.4s \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v31.4h}, [%0], #8 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4) // %5
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"w"(_k00_01), // %12
"w"(_k02_03), // %13
"w"(_k04_10), // %14
"w"(_k11_12), // %15
"w"(_k13_14), // %16
"w"(_k20_21), // %17
"w"(_k22_23), // %18
"w"(_k24_30), // %19
"w"(_k31_32), // %20
"w"(_k33_34), // %21
"w"(_k40_41), // %22
"w"(_k42_43), // %23
"w"(_k44), // %24
"w"(_bias0) // %25
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
#else // __aarch64__
asm volatile(
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"pld [%1, #128] \n"
"vld1.f32 {d24-d25}, [%1] \n"// sum0
"pld [%2, #64] \n"
"vld1.u16 {d1}, [%2 :64]! \n"// r00
"vshll.u16 q8, d20, #16 \n"// k00
"pld [%2, #256] \n"
"vld1.u16 {d6-d9}, [%2 :64] \n"// r01 r02 r03 r04
"vshll.u16 q0, d1, #16 \n"
"vshll.u16 q9, d21, #16 \n"// k01
"vshll.u16 q1, d6, #16 \n"
"vmul.f32 q13, q8, q0 \n"
"pld [%3, #64] \n"
"vld1.u16 {d1}, [%3 :64]! \n"// r10
"vshll.u16 q2, d7, #16 \n"
"vshll.u16 q10, d22, #16 \n"// k02
"vmul.f32 q14, q9, q1 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q3, d8, #16 \n"
"vshll.u16 q11, d23, #16 \n"// k03
"vmul.f32 q15, q10, q2 \n"
"vshll.u16 q4, d9, #16 \n"
"vshll.u16 q10, d16, #16 \n"// k04
"vmla.f32 q12, q11, q3 \n"
"vshll.u16 q0, d1, #16 \n"
"vshll.u16 q11, d17, #16 \n"// k10
"vmla.f32 q13, q10, q4 \n"
"pld [%3, #256] \n"
"vld1.u16 {d6-d9}, [%3 :64] \n"// r11 r12 r13 r14
"vshll.u16 q8, d18, #16 \n"// k11
"vshll.u16 q1, d6, #16 \n"
"vmla.f32 q14, q11, q0 \n"
"pld [%4, #64] \n"
"vld1.u16 {d1}, [%4 :64]! \n"// r20
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q2, d7, #16 \n"
"vshll.u16 q9, d19, #16 \n"// k12
"vmla.f32 q15, q8, q1 \n"
"vshll.u16 q3, d8, #16 \n"
"vshll.u16 q8, d20, #16 \n"// k13
"vmla.f32 q12, q9, q2 \n"
"vshll.u16 q4, d9, #16 \n"
"vshll.u16 q9, d21, #16 \n"// k14
"vmla.f32 q13, q8, q3 \n"
"vshll.u16 q0, d1, #16 \n"
"vshll.u16 q10, d22, #16 \n"// k20
"vmla.f32 q14, q9, q4 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"pld [%4, #256] \n"
"vld1.u16 {d6-d9}, [%4 :64] \n"// r21 r22 r23 r24
"vshll.u16 q11, d23, #16 \n"// k21
"vshll.u16 q1, d6, #16 \n"
"vmla.f32 q15, q10, q0 \n"
"pld [%5, #64] \n"
"vld1.u16 {d1}, [%5 :64]! \n"// r30
"vshll.u16 q2, d7, #16 \n"
"vshll.u16 q10, d16, #16 \n"// k22
"vmla.f32 q12, q11, q1 \n"
"vshll.u16 q3, d8, #16 \n"
"vshll.u16 q11, d17, #16 \n"// k23
"vmla.f32 q13, q10, q2 \n"
"vshll.u16 q4, d9, #16 \n"
"vshll.u16 q8, d18, #16 \n"// k24
"vmla.f32 q14, q11, q3 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q0, d1, #16 \n"
"vshll.u16 q9, d19, #16 \n"// k30
"vmla.f32 q15, q8, q4 \n"
"pld [%5, #256] \n"
"vld1.u16 {d6-d9}, [%5 :64] \n"// r31 r32 r33 r34
"vshll.u16 q8, d20, #16 \n"// k31
"vshll.u16 q1, d6, #16 \n"
"vmla.f32 q12, q9, q0 \n"
"pld [%6, #64] \n"
"vld1.u16 {d1}, [%6 :64]! \n"// r40
"vshll.u16 q2, d7, #16 \n"
"vshll.u16 q9, d21, #16 \n"// k32
"vmla.f32 q13, q8, q1 \n"
"vshll.u16 q3, d8, #16 \n"
"vshll.u16 q10, d22, #16 \n"// k33
"vmla.f32 q14, q9, q2 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q4, d9, #16 \n"
"vshll.u16 q11, d23, #16 \n"// k34
"vmla.f32 q15, q10, q3 \n"
"vshll.u16 q0, d1, #16 \n"
"vshll.u16 q10, d16, #16 \n"// k40
"vmla.f32 q12, q11, q4 \n"
"pld [%6, #256] \n"
"vld1.u16 {d6-d9}, [%6 :64] \n"// r41 r42 r43 r44
"vshll.u16 q11, d17, #16 \n"// k41
"vshll.u16 q1, d6, #16 \n"
"vmla.f32 q13, q10, q0 \n"
"vshll.u16 q2, d7, #16 \n"
"vshll.u16 q8, d18, #16 \n"// k42
"vmla.f32 q14, q11, q1 \n"
"pld [%7, #64] \n"
"vld1.u16 {d20}, [%7 :64] \n"
"vshll.u16 q3, d8, #16 \n"
"vshll.u16 q9, d19, #16 \n"// k43
"vmla.f32 q15, q8, q2 \n"
"vshll.u16 q4, d9, #16 \n"
"vshll.u16 q8, d20, #16 \n"// k44
"vmla.f32 q12, q9, q3 \n"
"vmla.f32 q13, q8, q4 \n"
"vadd.f32 q14, q14, q15 \n"
"vadd.f32 q12, q12, q13 \n"
"vadd.f32 q12, q12, q14 \n"
"sub %7, %7, #192 \n"// kptr -= 24 * 4;
"vshrn.u32 d24, q12, #16 \n"
"vst1.u16 {d24}, [%0 :64]! \n"
: "=r"(outptr0), // %0
"=r"(bias0_data_ptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(kptr) // %7
: "0"(outptr0),
"1"(bias0_data_ptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
}
r0 += 4*4;
r1 += 4*4;
r2 += 4*4;
r3 += 4*4;
r4 += 4*4;
}
}
}
static void convdw5x5s2_pack4_bf16s_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) * 4;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g=0; g<group; g++)
{
Mat out = top_blob.channel(g);
#if __aarch64__
float32x4_t _bias0 = bias ? vld1q_f32((const float*)bias + g * 4) : vdupq_n_f32(0.f);
#endif // __aarch64__
const unsigned short* kptr = kernel.row<const unsigned short>(g);
unsigned short* outptr0 = out;
const Mat img0 = bottom_blob.channel(g);
const unsigned short* r0 = img0.row<const unsigned short>(0);
const unsigned short* r1 = img0.row<const unsigned short>(1);
const unsigned short* r2 = img0.row<const unsigned short>(2);
const unsigned short* r3 = img0.row<const unsigned short>(3);
const unsigned short* r4 = img0.row<const unsigned short>(4);
#if __aarch64__
// 4 * 25
uint16x8_t _k00_01 = vld1q_u16(kptr);
uint16x8_t _k02_03 = vld1q_u16(kptr+8);
uint16x8_t _k04_10 = vld1q_u16(kptr+16);
uint16x8_t _k11_12 = vld1q_u16(kptr+24);
uint16x8_t _k13_14 = vld1q_u16(kptr+32);
uint16x8_t _k20_21 = vld1q_u16(kptr+40);
uint16x8_t _k22_23 = vld1q_u16(kptr+48);
uint16x8_t _k24_30 = vld1q_u16(kptr+56);
uint16x8_t _k31_32 = vld1q_u16(kptr+64);
uint16x8_t _k33_34 = vld1q_u16(kptr+72);
uint16x8_t _k40_41 = vld1q_u16(kptr+80);
uint16x8_t _k42_43 = vld1q_u16(kptr+88);
uint16x4_t _k44 = vld1_u16(kptr+96);
#else // __aarch64__
float bias0_data[4];
if (bias)
{
bias0_data[0] = bias[g * 4 + 0];
bias0_data[1] = bias[g * 4 + 1];
bias0_data[2] = bias[g * 4 + 2];
bias0_data[3] = bias[g * 4 + 3];
}
else
{
bias0_data[0] = 0.f;
bias0_data[1] = 0.f;
bias0_data[2] = 0.f;
bias0_data[3] = 0.f;
}
const float* bias0_data_ptr = bias0_data;
#endif // __aarch64__
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j+3 < outw; j+=4)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%1], #32 \n"// r00 r01 r02 r03
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%1], #32 \n"// r04 r05 r06 r07
"shll v14.4s, %12.4h, #16 \n"
"mov v28.16b, %25.16b \n"// sum00
"mov v29.16b, %25.16b \n"// sum01
"mov v30.16b, %25.16b \n"// sum02
"mov v31.16b, %25.16b \n"// sum03
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"prfm pldl1keep, [%1, #192] \n"
"ld1 {v24.4h, v25.4h, v26.4h}, [%1] \n"// r08 r09 r010
"shll2 v15.4s, %12.8h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v14.4s, v22.4s \n"
"shll v14.4s, %13.4h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %13.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v24.4s, v24.4h, #16 \n"
"fmla v30.4s, v14.4s, v22.4s \n"
"fmla v31.4s, v14.4s, v24.4s \n"
"shll v14.4s, %14.4h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%2], #32 \n"// r10 r11 r12 r13
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v25.4s, v25.4h, #16 \n"
"fmla v30.4s, v15.4s, v23.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v31.4s, v15.4s, v25.4s \n"
"shll2 v15.4s, %14.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v29.4s, v14.4s, v22.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%2], #32 \n"// r14 r15 r16 r17
"shll v26.4s, v26.4h, #16 \n"
"fmla v30.4s, v14.4s, v24.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v14.4s, v26.4s \n"
"prfm pldl1keep, [%2, #192] \n"
"ld1 {v24.4h, v25.4h, v26.4h}, [%2] \n"// r18 r19 r110
"shll v14.4s, %15.4h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v22.4s \n"
"shll2 v15.4s, %15.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v14.4s, v21.4s \n"
"fmla v31.4s, v14.4s, v23.4s \n"
"shll v14.4s, %16.4h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"shll v24.4s, v24.4h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"fmla v31.4s, v15.4s, v24.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%3], #32 \n"// r20 r21 r22 r23
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v25.4s, v25.4h, #16 \n"
"fmla v30.4s, v14.4s, v23.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v31.4s, v14.4s, v25.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v29.4s, v15.4s, v22.4s \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%3], #32 \n"// r24 r25 r26 r27
"shll v26.4s, v26.4h, #16 \n"
"fmla v30.4s, v15.4s, v24.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v26.4s \n"
"prfm pldl1keep, [%3, #192] \n"
"ld1 {v24.4h, v25.4h, v26.4h}, [%3] \n"// r28 r29 r210
"shll2 v15.4s, %17.8h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v14.4s, v22.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %18.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v24.4s, v24.4h, #16 \n"
"fmla v30.4s, v14.4s, v22.4s \n"
"fmla v31.4s, v14.4s, v24.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%4], #32 \n"// r30 r31 r32 r33
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v25.4s, v25.4h, #16 \n"
"fmla v30.4s, v15.4s, v23.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v31.4s, v15.4s, v25.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v29.4s, v14.4s, v22.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%4], #32 \n"// r34 r35 r36 r37
"shll v26.4s, v26.4h, #16 \n"
"fmla v30.4s, v14.4s, v24.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v14.4s, v26.4s \n"
"prfm pldl1keep, [%4, #192] \n"
"ld1 {v24.4h, v25.4h, v26.4h}, [%4] \n"// r38 r39 r310
"shll v14.4s, %20.4h, #16 \n"
"fmla v28.4s, v15.4s, v16.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v22.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v14.4s, v21.4s \n"
"fmla v31.4s, v14.4s, v23.4s \n"
"shll v14.4s, %21.4h, #16 \n"
"fmla v28.4s, v15.4s, v18.4s \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"shll v24.4s, v24.4h, #16 \n"
"fmla v30.4s, v15.4s, v22.4s \n"
"fmla v31.4s, v15.4s, v24.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%5], #32 \n"// r40 r41 r42 r43
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v25.4s, v25.4h, #16 \n"
"fmla v30.4s, v14.4s, v23.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v31.4s, v14.4s, v25.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v28.4s, v15.4s, v20.4s \n"
"shll v17.4s, v17.4h, #16 \n"
"fmla v29.4s, v15.4s, v22.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v20.4h, v21.4h, v22.4h, v23.4h}, [%5], #32 \n"// r44 r45 r46 r47
"shll v26.4s, v26.4h, #16 \n"
"fmla v30.4s, v15.4s, v24.4s \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v31.4s, v15.4s, v26.4s \n"
"prfm pldl1keep, [%5, #192] \n"
"ld1 {v24.4h, v25.4h, v26.4h}, [%5] \n"// r48 r49 r410
"shll2 v15.4s, %22.8h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v14.4s, v22.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v28.4s, v15.4s, v17.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll v23.4s, v23.4h, #16 \n"
"fmla v30.4s, v15.4s, v21.4s \n"
"fmla v31.4s, v15.4s, v23.4s \n"
"shll2 v15.4s, %23.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v24.4s, v24.4h, #16 \n"
"fmla v30.4s, v14.4s, v22.4s \n"
"fmla v31.4s, v14.4s, v24.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v28.4s, v15.4s, v19.4s \n"
"fmla v29.4s, v15.4s, v21.4s \n"
"shll v25.4s, v25.4h, #16 \n"
"fmla v30.4s, v15.4s, v23.4s \n"
"fmla v31.4s, v15.4s, v25.4s \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"fmla v29.4s, v14.4s, v22.4s \n"
"shll v26.4s, v26.4h, #16 \n"
"fmla v30.4s, v14.4s, v24.4s \n"
"fmla v31.4s, v14.4s, v26.4s \n"
"shrn v28.4h, v28.4s, #16 \n"
"shrn v29.4h, v29.4s, #16 \n"
"shrn v30.4h, v30.4s, #16 \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v28.4h, v29.4h, v30.4h, v31.4h}, [%0], #32 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4) // %5
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"w"(_k00_01), // %12
"w"(_k02_03), // %13
"w"(_k04_10), // %14
"w"(_k11_12), // %15
"w"(_k13_14), // %16
"w"(_k20_21), // %17
"w"(_k22_23), // %18
"w"(_k24_30), // %19
"w"(_k31_32), // %20
"w"(_k33_34), // %21
"w"(_k40_41), // %22
"w"(_k42_43), // %23
"w"(_k44), // %24
"w"(_bias0) // %25
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
#else // __aarch64__
asm volatile(
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"pld [%1, #128] \n"
"vld1.f32 {d24-d25}, [%1] \n"
"vmov q13, q12 \n"// sum0 sum1
"vshll.u16 q8, d20, #16 \n"// k00
"pld [%2, #256] \n"
"vld1.u16 {d4-d7}, [%2 :64]! \n"// r00 r01 r02 r03
"vmov q14, q12 \n"
"vmov q15, q12 \n"// sum2 sum3
"vshll.u16 q9, d21, #16 \n"// k01
"pld [%2, #256] \n"
"vld1.u16 {d12-d15}, [%2 :64]! \n"// r04 r05 r06 r07
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vmla.f32 q12, q8, q0 \n"
"vmla.f32 q13, q8, q2 \n"
"vshll.u16 q6, d14, #16 \n"
"vmla.f32 q14, q8, q4 \n"
"vmla.f32 q15, q8, q6 \n"
"vshll.u16 q10, d22, #16 \n"// k02
"vmla.f32 q12, q9, q1 \n"
"vmla.f32 q13, q9, q3 \n"
"vshll.u16 q7, d15, #16 \n"
"vmla.f32 q14, q9, q5 \n"
"vmla.f32 q15, q9, q7 \n"
"pld [%2, #128] \n"
"vld1.u16 {d2-d3}, [%2 :64]! \n"// r08 r09
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vmla.f32 q12, q10, q2 \n"
"vshll.u16 q11, d23, #16 \n"// k03
"vmla.f32 q13, q10, q4 \n"
"vshll.u16 q0, d2, #16 \n"
"vmla.f32 q14, q10, q6 \n"
"vmla.f32 q15, q10, q0 \n"
"vshll.u16 q10, d16, #16 \n"// k04
"vmla.f32 q12, q11, q3 \n"
"vmla.f32 q13, q11, q5 \n"
"vshll.u16 q1, d3, #16 \n"
"vmla.f32 q14, q11, q7 \n"
"vmla.f32 q15, q11, q1 \n"
"pld [%2, #64] \n"
"vld1.u16 {d5}, [%2 :64] \n"// r010
"vmla.f32 q12, q10, q4 \n"
"vshll.u16 q11, d17, #16 \n"// k10
"vmla.f32 q13, q10, q6 \n"
"vshll.u16 q2, d5, #16 \n"
"vmla.f32 q14, q10, q0 \n"
"pld [%3, #256] \n"
"vld1.u16 {d12-d15}, [%3 :64]! \n"// r10 r11 r12 r13
"vmla.f32 q15, q10, q2 \n"
"vshll.u16 q8, d18, #16 \n"// k11
"pld [%3, #256] \n"
"vld1.u16 {d4-d7}, [%3 :64]! \n"// r14 r15 r16 r17
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vmla.f32 q12, q11, q4 \n"
"vmla.f32 q13, q11, q6 \n"
"vshll.u16 q2, d6, #16 \n"
"vmla.f32 q14, q11, q0 \n"
"vmla.f32 q15, q11, q2 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vmla.f32 q12, q8, q5 \n"
"vshll.u16 q9, d19, #16 \n"// k12
"vmla.f32 q13, q8, q7 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q8, q1 \n"
"vmla.f32 q15, q8, q3 \n"
"pld [%3, #128] \n"
"vld1.u16 {d10-d11}, [%3 :64]! \n"// r18 r19
"vmla.f32 q12, q9, q6 \n"
"vshll.u16 q8, d20, #16 \n"// k13
"vmla.f32 q13, q9, q0 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q14, q9, q2 \n"
"vmla.f32 q15, q9, q4 \n"
"vshll.u16 q9, d21, #16 \n"// k14
"vmla.f32 q12, q8, q7 \n"
"vmla.f32 q13, q8, q1 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q14, q8, q3 \n"
"vmla.f32 q15, q8, q5 \n"
"pld [%3, #64] \n"
"vld1.u16 {d13}, [%3 :64] \n"// r110
"vmla.f32 q12, q9, q0 \n"
"vshll.u16 q10, d22, #16 \n"// k20
"vmla.f32 q13, q9, q2 \n"
"vshll.u16 q6, d13, #16 \n"
"vmla.f32 q14, q9, q4 \n"
"pld [%4, #256] \n"
"vld1.u16 {d4-d7}, [%4 :64]! \n"// r20 r21 r22 r23
"vmla.f32 q15, q9, q6 \n"
"vshll.u16 q11, d23, #16 \n"// k21
"pld [%4, #256] \n"
"vld1.u16 {d12-d15}, [%4 :64]! \n"// r24 r25 r26 r27
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vmla.f32 q12, q10, q0 \n"
"vmla.f32 q13, q10, q2 \n"
"vshll.u16 q6, d14, #16 \n"
"vmla.f32 q14, q10, q4 \n"
"vmla.f32 q15, q10, q6 \n"
"vshll.u16 q10, d16, #16 \n"// k22
"vmla.f32 q12, q11, q1 \n"
"vmla.f32 q13, q11, q3 \n"
"vshll.u16 q7, d15, #16 \n"
"vmla.f32 q14, q11, q5 \n"
"vmla.f32 q15, q11, q7 \n"
"pld [%4, #128] \n"
"vld1.u16 {d2-d3}, [%4 :64]! \n"// r28 r29
"vmla.f32 q12, q10, q2 \n"
"vshll.u16 q11, d17, #16 \n"// k23
"vmla.f32 q13, q10, q4 \n"
"vshll.u16 q0, d2, #16 \n"
"vmla.f32 q14, q10, q6 \n"
"vmla.f32 q15, q10, q0 \n"
"vshll.u16 q8, d18, #16 \n"// k24
"vmla.f32 q12, q11, q3 \n"
"vmla.f32 q13, q11, q5 \n"
"vshll.u16 q1, d3, #16 \n"
"vmla.f32 q14, q11, q7 \n"
"vmla.f32 q15, q11, q1 \n"
"pld [%4, #64] \n"
"vld1.u16 {d5}, [%4 :64] \n"// r210
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vmla.f32 q12, q8, q4 \n"
"vshll.u16 q9, d19, #16 \n"// k30
"vmla.f32 q13, q8, q6 \n"
"vshll.u16 q2, d5, #16 \n"
"vmla.f32 q14, q8, q0 \n"
"pld [%5, #256] \n"
"vld1.u16 {d12-d15}, [%5 :64]! \n"// r30 r31 r32 r33
"vmla.f32 q15, q8, q2 \n"
"vshll.u16 q8, d20, #16 \n"// k31
"pld [%5, #256] \n"
"vld1.u16 {d4-d7}, [%5 :64]! \n"// r34 r35 r36 r37
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vmla.f32 q12, q9, q4 \n"
"vmla.f32 q13, q9, q6 \n"
"vshll.u16 q2, d6, #16 \n"
"vmla.f32 q14, q9, q0 \n"
"vmla.f32 q15, q9, q2 \n"
"vshll.u16 q9, d21, #16 \n"// k32
"vmla.f32 q12, q8, q5 \n"
"vmla.f32 q13, q8, q7 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q8, q1 \n"
"vmla.f32 q15, q8, q3 \n"
"pld [%5, #128] \n"
"vld1.u16 {d10-d11}, [%5 :64]! \n"// r38 r39
"vmla.f32 q12, q9, q6 \n"
"vshll.u16 q10, d22, #16 \n"// k33
"vmla.f32 q13, q9, q0 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q14, q9, q2 \n"
"vmla.f32 q15, q9, q4 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vmla.f32 q12, q10, q7 \n"
"vshll.u16 q11, d23, #16 \n"// k34
"vmla.f32 q13, q10, q1 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q14, q10, q3 \n"
"vmla.f32 q15, q10, q5 \n"
"pld [%5, #64] \n"
"vld1.u16 {d13}, [%5 :64] \n"// r310
"vmla.f32 q12, q11, q0 \n"
"vshll.u16 q10, d16, #16 \n"// k40
"vmla.f32 q13, q11, q2 \n"
"vshll.u16 q6, d13, #16 \n"
"vmla.f32 q14, q11, q4 \n"
"pld [%6, #256] \n"
"vld1.u16 {d4-d7}, [%6 :64]! \n"// r40 r41 r42 r43
"vmla.f32 q15, q11, q6 \n"
"vshll.u16 q11, d17, #16 \n"// k41
"pld [%6, #256] \n"
"vld1.u16 {d12-d15}, [%6 :64]! \n"// r44 r45 r46 r47
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vshll.u16 q4, d12, #16 \n"
"vshll.u16 q5, d13, #16 \n"
"vmla.f32 q12, q10, q0 \n"
"vmla.f32 q13, q10, q2 \n"
"vshll.u16 q6, d14, #16 \n"
"vmla.f32 q14, q10, q4 \n"
"vmla.f32 q15, q10, q6 \n"
"vshll.u16 q8, d18, #16 \n"// k42
"vmla.f32 q12, q11, q1 \n"
"vmla.f32 q13, q11, q3 \n"
"vshll.u16 q7, d15, #16 \n"
"vmla.f32 q14, q11, q5 \n"
"pld [%7, #64] \n"
"vld1.u16 {d20}, [%7 :64] \n"
"vmla.f32 q15, q11, q7 \n"
"pld [%6, #128] \n"
"vld1.u16 {d2-d3}, [%6 :64]! \n"// r48 r49
"vmla.f32 q12, q8, q2 \n"
"vshll.u16 q9, d19, #16 \n"// k43
"vmla.f32 q13, q8, q4 \n"
"vshll.u16 q0, d2, #16 \n"
"vmla.f32 q14, q8, q6 \n"
"vmla.f32 q15, q8, q0 \n"
"vshll.u16 q8, d20, #16 \n"// k44
"vmla.f32 q12, q9, q3 \n"
"vmla.f32 q13, q9, q5 \n"
"vshll.u16 q1, d3, #16 \n"
"vmla.f32 q14, q9, q7 \n"
"vmla.f32 q15, q9, q1 \n"
"pld [%6, #64] \n"
"vld1.u16 {d5}, [%6 :64] \n"// r410
"vmla.f32 q12, q8, q4 \n"
"vmla.f32 q13, q8, q6 \n"
"vshll.u16 q2, d5, #16 \n"
"vmla.f32 q14, q8, q0 \n"
"vmla.f32 q15, q8, q2 \n"
"sub %7, %7, #192 \n"// kptr -= 24 * 4;
"sub %2, %2, #16 \n"
"sub %3, %3, #16 \n"
"sub %4, %4, #16 \n"
"sub %5, %5, #16 \n"
"sub %6, %6, #16 \n"
"vshrn.u32 d24, q12, #16 \n"
"vshrn.u32 d25, q13, #16 \n"
"vshrn.u32 d26, q14, #16 \n"
"vshrn.u32 d27, q15, #16 \n"
"vst1.u16 {d24-d27}, [%0 :64]! \n"
: "=r"(outptr0), // %0
"=r"(bias0_data_ptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(kptr) // %7
: "0"(outptr0),
"1"(bias0_data_ptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
}
for (; j+1 < outw; j+=2)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%1], #32 \n"// r00 r01 r02 r03
"prfm pldl1keep, [%1, #192] \n"
"ld1 {v20.4h, v21.4h, v22.4h}, [%1] \n"// r04 r05 r06
"shll v14.4s, %12.4h, #16 \n"
"shll2 v15.4s, %12.8h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"mov v30.16b, %25.16b \n"// sum00
"mov v31.16b, %25.16b \n"// sum01
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"fmul v28.4s, v14.4s, v16.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmul v29.4s, v14.4s, v18.4s \n"
"shll v14.4s, %13.4h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %13.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v14.4s, %14.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"prfm pldl1keep, [%2, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%2], #32 \n"// r10 r11 r12 r13
"shll v22.4s, v22.4h, #16 \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll2 v15.4s, %14.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v22.4s \n"
"prfm pldl1keep, [%2, #192] \n"
"ld1 {v20.4h, v21.4h, v22.4h}, [%2] \n"// r14 r15 r16
"shll v14.4s, %15.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v30.4s, v15.4s, v16.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %15.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v14.4s, %16.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"prfm pldl1keep, [%3, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%3], #32 \n"// r20 r21 r22 r23
"shll v22.4s, v22.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v31.4s, v15.4s, v22.4s \n"
"prfm pldl1keep, [%3, #192] \n"
"ld1 {v20.4h, v21.4h, v22.4h}, [%3] \n"// r24 r25 r26
"shll2 v15.4s, %17.8h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %18.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"prfm pldl1keep, [%4, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%4], #32 \n"// r30 r31 r32 r33
"shll v22.4s, v22.4h, #16 \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v29.4s, v14.4s, v22.4s \n"
"prfm pldl1keep, [%4, #192] \n"
"ld1 {v20.4h, v21.4h, v22.4h}, [%4] \n"// r34 r35 r36
"shll v14.4s, %20.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v30.4s, v15.4s, v16.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v14.4s, v19.4s \n"
"shll v14.4s, %21.4h, #16 \n"
"fmla v30.4s, v15.4s, v18.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"prfm pldl1keep, [%5, #256] \n"
"ld1 {v16.4h, v17.4h, v18.4h, v19.4h}, [%5], #32 \n"// r40 r41 r42 r43
"shll v22.4s, v22.4h, #16 \n"
"fmla v29.4s, v14.4s, v21.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v30.4s, v15.4s, v20.4s \n"
"shll v16.4s, v16.4h, #16 \n"
"fmla v31.4s, v15.4s, v22.4s \n"
"prfm pldl1keep, [%5, #192] \n"
"ld1 {v20.4h, v21.4h, v22.4h}, [%5] \n"// r44 r45 r46
"shll2 v15.4s, %22.8h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v19.4s, v19.4h, #16 \n"
"fmla v29.4s, v14.4s, v18.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v30.4s, v15.4s, v17.4s \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %23.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v21.4s, v21.4h, #16 \n"
"fmla v29.4s, v14.4s, v20.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v30.4s, v15.4s, v19.4s \n"
"fmla v31.4s, v15.4s, v21.4s \n"
"shll v22.4s, v22.4h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"fmla v29.4s, v14.4s, v22.4s \n"
"fadd v30.4s, v30.4s, v28.4s \n"
"fadd v31.4s, v31.4s, v29.4s \n"
"shrn v30.4h, v30.4s, #16 \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v30.4h, v31.4h}, [%0], #16 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4) // %5
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"w"(_k00_01), // %12
"w"(_k02_03), // %13
"w"(_k04_10), // %14
"w"(_k11_12), // %15
"w"(_k13_14), // %16
"w"(_k20_21), // %17
"w"(_k22_23), // %18
"w"(_k24_30), // %19
"w"(_k31_32), // %20
"w"(_k33_34), // %21
"w"(_k40_41), // %22
"w"(_k42_43), // %23
"w"(_k44), // %24
"w"(_bias0) // %25
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
#else // __aarch64__
asm volatile(
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"pld [%1, #128] \n"
"vld1.f32 {d24-d25}, [%1] \n"
"pld [%2, #256] \n"
"vld1.u16 {d4-d7}, [%2 :64]! \n"// r00 r01 r02 r03
"vshll.u16 q8, d20, #16 \n"// k00
"pld [%2, #256] \n"
"vld1.u16 {d10-d12}, [%2 :64] \n"// r04 r05 r06
"vmov q13, q12 \n"// sum0 sum1
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vshll.u16 q9, d21, #16 \n"// k01
"vmul.f32 q14, q8, q0 \n"
"vshll.u16 q4, d10, #16 \n"
"vmul.f32 q15, q8, q2 \n"
"vshll.u16 q10, d22, #16 \n"// k02
"vmla.f32 q12, q9, q1 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q13, q9, q3 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vmla.f32 q14, q10, q2 \n"
"vshll.u16 q11, d23, #16 \n"// k03
"vmla.f32 q15, q10, q4 \n"
"vshll.u16 q10, d16, #16 \n"// k04
"vmla.f32 q12, q11, q3 \n"
"vshll.u16 q6, d12, #16 \n"
"vmla.f32 q13, q11, q5 \n"
"vshll.u16 q11, d17, #16 \n"// k10
"vmla.f32 q14, q10, q4 \n"
"vmla.f32 q15, q10, q6 \n"
"pld [%3, #256] \n"
"vld1.u16 {d4-d7}, [%3 :64]! \n"// r10 r11 r12 r13
"vshll.u16 q8, d18, #16 \n"// k11
"pld [%3, #256] \n"
"vld1.u16 {d10-d12}, [%3 :64] \n"// r14 r15 r16
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q12, q11, q0 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q13, q11, q2 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vmla.f32 q14, q8, q1 \n"
"vshll.u16 q9, d19, #16 \n"// k12
"vmla.f32 q15, q8, q3 \n"
"vshll.u16 q8, d20, #16 \n"// k13
"vmla.f32 q12, q9, q2 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q13, q9, q4 \n"
"vshll.u16 q9, d21, #16 \n"// k14
"vmla.f32 q14, q8, q3 \n"
"vshll.u16 q6, d12, #16 \n"
"vmla.f32 q15, q8, q5 \n"
"vshll.u16 q10, d22, #16 \n"// k20
"vmla.f32 q12, q9, q4 \n"
"vmla.f32 q13, q9, q6 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"pld [%4, #256] \n"
"vld1.u16 {d4-d7}, [%4 :64]! \n"// r20 r21 r22 r23
"vshll.u16 q11, d23, #16 \n"// k21
"pld [%4, #256] \n"
"vld1.u16 {d10-d12}, [%4 :64] \n"// r24 r25 r26
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q10, q0 \n"
"vmla.f32 q15, q10, q2 \n"
"vshll.u16 q10, d16, #16 \n"// k22
"vmla.f32 q12, q11, q1 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q13, q11, q3 \n"
"vshll.u16 q11, d17, #16 \n"// k23
"vmla.f32 q14, q10, q2 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q15, q10, q4 \n"
"vshll.u16 q8, d18, #16 \n"// k24
"vmla.f32 q12, q11, q3 \n"
"vshll.u16 q6, d12, #16 \n"
"vmla.f32 q13, q11, q5 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vmla.f32 q14, q8, q4 \n"
"vshll.u16 q9, d19, #16 \n"// k30
"vmla.f32 q15, q8, q6 \n"
"pld [%5, #256] \n"
"vld1.u16 {d4-d7}, [%5 :64]! \n"// r30 r31 r32 r33
"vshll.u16 q8, d20, #16 \n"// k31
"pld [%5, #256] \n"
"vld1.u16 {d10-d12}, [%5 :64] \n"// r34 r35 r36
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q12, q9, q0 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q13, q9, q2 \n"
"vshll.u16 q9, d21, #16 \n"// k32
"vmla.f32 q14, q8, q1 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q15, q8, q3 \n"
"vshll.u16 q10, d22, #16 \n"// k33
"vmla.f32 q12, q9, q2 \n"
"vshll.u16 q6, d12, #16 \n"
"vmla.f32 q13, q9, q4 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vmla.f32 q14, q10, q3 \n"
"vshll.u16 q11, d23, #16 \n"// k34
"vmla.f32 q15, q10, q5 \n"
"vshll.u16 q10, d16, #16 \n"// k40
"vmla.f32 q12, q11, q4 \n"
"vmla.f32 q13, q11, q6 \n"
"pld [%6, #256] \n"
"vld1.u16 {d4-d7}, [%6 :64]! \n"// r40 r41 r42 r43
"vshll.u16 q11, d17, #16 \n"// k41
"pld [%6, #256] \n"
"vld1.u16 {d10-d12}, [%6 :64] \n"// r44 r45 r46
"vshll.u16 q0, d4, #16 \n"
"vshll.u16 q1, d5, #16 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vmla.f32 q14, q10, q0 \n"
"vshll.u16 q4, d10, #16 \n"
"vmla.f32 q15, q10, q2 \n"
"vshll.u16 q8, d18, #16 \n"// k42
"vmla.f32 q12, q11, q1 \n"
"vshll.u16 q5, d11, #16 \n"
"vmla.f32 q13, q11, q3 \n"
"pld [%7, #64] \n"
"vld1.u16 {d20}, [%7 :64] \n"
"vmla.f32 q14, q8, q2 \n"
"vshll.u16 q9, d19, #16 \n"// k43
"vmla.f32 q15, q8, q4 \n"
"vshll.u16 q8, d20, #16 \n"// k44
"vmla.f32 q12, q9, q3 \n"
"vshll.u16 q6, d12, #16 \n"
"vmla.f32 q13, q9, q5 \n"
"vmla.f32 q14, q8, q4 \n"
"vmla.f32 q15, q8, q6 \n"
"vadd.f32 q12, q12, q14 \n"
"vadd.f32 q13, q13, q15 \n"
"sub %7, %7, #192 \n"// kptr -= 24 * 4;
"vshrn.u32 d24, q12, #16 \n"
"vshrn.u32 d25, q13, #16 \n"
"vst1.u16 {d24-d25}, [%0 :64]! \n"
: "=r"(outptr0), // %0
"=r"(bias0_data_ptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(kptr) // %7
: "0"(outptr0),
"1"(bias0_data_ptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
}
for (; j < outw; j++)
{
#if __aarch64__
asm volatile(
"prfm pldl1keep, [%1, #128] \n"
"ld1 {v16.4h, v17.4h}, [%1], #16 \n"// r00 r01
"prfm pldl1keep, [%1, #192] \n"
"ld1 {v18.4h, v19.4h, v20.4h}, [%1] \n"// r02 r03 r04
"shll v14.4s, %12.4h, #16 \n"
"mov v31.16b, %25.16b \n"// sum00
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"shll2 v15.4s, %12.8h, #16 \n"
"fmul v28.4s, v14.4s, v16.4s \n"
"shll v14.4s, %13.4h, #16 \n"
"fmul v29.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %13.8h, #16 \n"
"fmul v30.4s, v14.4s, v18.4s \n"
"shll v14.4s, %14.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %14.8h, #16 \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"prfm pldl1keep, [%2, #128] \n"
"ld1 {v16.4h, v17.4h}, [%2], #16 \n"// r10 r11
"prfm pldl1keep, [%2, #192] \n"
"ld1 {v18.4h, v19.4h, v20.4h}, [%2] \n"// r12 r13 r14
"shll v14.4s, %15.4h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v29.4s, v15.4s, v16.4s \n"
"shll2 v15.4s, %15.8h, #16 \n"
"fmla v30.4s, v14.4s, v17.4s \n"
"shll v14.4s, %16.4h, #16 \n"
"fmla v31.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %16.8h, #16 \n"
"fmla v28.4s, v14.4s, v19.4s \n"
"shll v14.4s, %17.4h, #16 \n"
"fmla v29.4s, v15.4s, v20.4s \n"
"prfm pldl1keep, [%3, #128] \n"
"ld1 {v16.4h, v17.4h}, [%3], #16 \n"// r20 r21
"prfm pldl1keep, [%3, #192] \n"
"ld1 {v18.4h, v19.4h, v20.4h}, [%3] \n"// r22 r23 r24
"shll2 v15.4s, %17.8h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v30.4s, v14.4s, v16.4s \n"
"shll v14.4s, %18.4h, #16 \n"
"fmla v31.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %18.8h, #16 \n"
"fmla v28.4s, v14.4s, v18.4s \n"
"shll v14.4s, %19.4h, #16 \n"
"fmla v29.4s, v15.4s, v19.4s \n"
"shll2 v15.4s, %19.8h, #16 \n"
"fmla v30.4s, v14.4s, v20.4s \n"
"prfm pldl1keep, [%4, #128] \n"
"ld1 {v16.4h, v17.4h}, [%4], #16 \n"// r30 r31
"prfm pldl1keep, [%4, #192] \n"
"ld1 {v18.4h, v19.4h, v20.4h}, [%4] \n"// r32 r33 r34
"shll v14.4s, %20.4h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v31.4s, v15.4s, v16.4s \n"
"shll2 v15.4s, %20.8h, #16 \n"
"fmla v28.4s, v14.4s, v17.4s \n"
"shll v14.4s, %21.4h, #16 \n"
"fmla v29.4s, v15.4s, v18.4s \n"
"shll2 v15.4s, %21.8h, #16 \n"
"fmla v30.4s, v14.4s, v19.4s \n"
"shll v14.4s, %22.4h, #16 \n"
"fmla v31.4s, v15.4s, v20.4s \n"
"prfm pldl1keep, [%5, #128] \n"
"ld1 {v16.4h, v17.4h}, [%5], #16 \n"// r40 r41
"prfm pldl1keep, [%5, #192] \n"
"ld1 {v18.4h, v19.4h, v20.4h}, [%5] \n"// r42 r43 r44
"shll2 v15.4s, %22.8h, #16 \n"
"shll v16.4s, v16.4h, #16 \n"
"shll v17.4s, v17.4h, #16 \n"
"shll v18.4s, v18.4h, #16 \n"
"shll v19.4s, v19.4h, #16 \n"
"shll v20.4s, v20.4h, #16 \n"
"fmla v28.4s, v14.4s, v16.4s \n"
"shll v14.4s, %23.4h, #16 \n"
"fmla v29.4s, v15.4s, v17.4s \n"
"shll2 v15.4s, %23.8h, #16 \n"
"fmla v30.4s, v14.4s, v18.4s \n"
"shll v14.4s, %24.4h, #16 \n"
"fmla v31.4s, v15.4s, v19.4s \n"
"fmla v28.4s, v14.4s, v20.4s \n"
"fadd v29.4s, v29.4s, v30.4s \n"
"fadd v31.4s, v31.4s, v28.4s \n"
"fadd v31.4s, v31.4s, v29.4s \n"
"shrn v31.4h, v31.4s, #16 \n"
"st1 {v31.4h}, [%0], #8 \n"
: "=r"(outptr0), // %0
"=r"(r0), // %1
"=r"(r1), // %2
"=r"(r2), // %3
"=r"(r3), // %4
"=r"(r4) // %5
: "0"(outptr0),
"1"(r0),
"2"(r1),
"3"(r2),
"4"(r3),
"5"(r4),
"w"(_k00_01), // %12
"w"(_k02_03), // %13
"w"(_k04_10), // %14
"w"(_k11_12), // %15
"w"(_k13_14), // %16
"w"(_k20_21), // %17
"w"(_k22_23), // %18
"w"(_k24_30), // %19
"w"(_k31_32), // %20
"w"(_k33_34), // %21
"w"(_k40_41), // %22
"w"(_k42_43), // %23
"w"(_k44), // %24
"w"(_bias0) // %25
: "memory", "v14", "v15", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23", "v24", "v25", "v26", "v27", "v28", "v29", "v30", "v31"
);
#else // __aarch64__
asm volatile(
"pld [%2, #128] \n"
"vld1.u16 {d2-d3}, [%2 :64]! \n"// r00 r01
"pld [%2, #192] \n"
"vld1.u16 {d6-d8}, [%2 :64] \n"// r02 r03 r04
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q8, d20, #16 \n"// k00
"pld [%1, #128] \n"
"vld1.f32 {d24-d25}, [%1] \n"// sum0
"vshll.u16 q9, d21, #16 \n"// k01
"vmul.f32 q13, q8, q0 \n"
"vshll.u16 q10, d22, #16 \n"// k02
"vmul.f32 q14, q9, q1 \n"
"pld [%3, #128] \n"
"vld1.u16 {d14-d15}, [%3 :64]! \n"// r10 r11
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vshll.u16 q4, d8, #16 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q11, d23, #16 \n"// k03
"vmul.f32 q15, q10, q2 \n"
"vshll.u16 q10, d16, #16 \n"// k04
"vmla.f32 q12, q11, q3 \n"
"vshll.u16 q11, d17, #16 \n"// k10
"vmla.f32 q13, q10, q4 \n"
"pld [%3, #192] \n"
"vld1.u16 {d8-d10}, [%3 :64] \n"// r12 r13 r14
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"vshll.u16 q8, d18, #16 \n"// k11
"vmla.f32 q14, q11, q6 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q9, d19, #16 \n"// k12
"vmla.f32 q15, q8, q7 \n"
"pld [%4, #128] \n"
"vld1.u16 {d2-d3}, [%4 :64]! \n"// r20 r21
"vshll.u16 q3, d8, #16 \n"
"vshll.u16 q4, d9, #16 \n"
"vshll.u16 q5, d10, #16 \n"
"vshll.u16 q8, d20, #16 \n"// k13
"vmla.f32 q12, q9, q3 \n"
"vshll.u16 q9, d21, #16 \n"// k14
"vmla.f32 q13, q8, q4 \n"
"vshll.u16 q10, d22, #16 \n"// k20
"vmla.f32 q14, q9, q5 \n"
"pld [%4, #192] \n"
"vld1.u16 {d6-d8}, [%4 :64] \n"// r22 r23 r24
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q11, d23, #16 \n"// k21
"vmla.f32 q15, q10, q0 \n"
"vshll.u16 q10, d16, #16 \n"// k22
"vmla.f32 q12, q11, q1 \n"
"pld [%5, #128] \n"
"vld1.u16 {d14-d15}, [%5 :64]! \n"// r30 r31
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vshll.u16 q4, d8, #16 \n"
"vshll.u16 q11, d17, #16 \n"// k23
"vmla.f32 q13, q10, q2 \n"
"vshll.u16 q8, d18, #16 \n"// k24
"vmla.f32 q14, q11, q3 \n"
"pld [%7, #256] \n"
"vld1.u16 {d20-d23}, [%7 :64]! \n"
"vshll.u16 q9, d19, #16 \n"// k30
"vmla.f32 q15, q8, q4 \n"
"pld [%5, #192] \n"
"vld1.u16 {d8-d10}, [%5 :64] \n"// r32 r33 r34
"vshll.u16 q6, d14, #16 \n"
"vshll.u16 q7, d15, #16 \n"
"vshll.u16 q8, d20, #16 \n"// k31
"vmla.f32 q12, q9, q6 \n"
"vshll.u16 q9, d21, #16 \n"// k32
"vmla.f32 q13, q8, q7 \n"
"pld [%6, #128] \n"
"vld1.u16 {d2-d3}, [%6 :64]! \n"// r40 r41
"vshll.u16 q3, d8, #16 \n"
"vshll.u16 q4, d9, #16 \n"
"vshll.u16 q5, d10, #16 \n"
"vshll.u16 q10, d22, #16 \n"// k33
"vmla.f32 q14, q9, q3 \n"
"pld [%7, #256] \n"
"vld1.u16 {d16-d19}, [%7 :64]! \n"
"vshll.u16 q11, d23, #16 \n"// k34
"vmla.f32 q15, q10, q4 \n"
"vshll.u16 q10, d16, #16 \n"// k40
"vmla.f32 q12, q11, q5 \n"
"pld [%6, #192] \n"
"vld1.u16 {d6-d8}, [%6 :64] \n"// r42 r43 r44
"vshll.u16 q0, d2, #16 \n"
"vshll.u16 q1, d3, #16 \n"
"vshll.u16 q11, d17, #16 \n"// k41
"vmla.f32 q13, q10, q0 \n"
"vshll.u16 q8, d18, #16 \n"// k42
"vmla.f32 q14, q11, q1 \n"
"vshll.u16 q2, d6, #16 \n"
"vshll.u16 q3, d7, #16 \n"
"vshll.u16 q4, d8, #16 \n"
"pld [%7, #64] \n"
"vld1.u16 {d20}, [%7 :64] \n"
"vshll.u16 q9, d19, #16 \n"// k43
"vmla.f32 q15, q8, q2 \n"
"vshll.u16 q8, d20, #16 \n"// k44
"vmla.f32 q12, q9, q3 \n"
"vmla.f32 q13, q8, q4 \n"
"vadd.f32 q14, q14, q15 \n"
"vadd.f32 q12, q12, q13 \n"
"sub %7, %7, #192 \n"// kptr -= 24 * 4;
"vadd.f32 q12, q12, q14 \n"
"vshrn.u32 d24, q12, #16 \n"
"vst1.u16 {d24}, [%0 :64]! \n"
: "=r"(outptr0), // %0
"=r"(bias0_data_ptr), // %1
"=r"(r0), // %2
"=r"(r1), // %3
"=r"(r2), // %4
"=r"(r3), // %5
"=r"(r4), // %6
"=r"(kptr) // %7
: "0"(outptr0),
"1"(bias0_data_ptr),
"2"(r0),
"3"(r1),
"4"(r2),
"5"(r3),
"6"(r4),
"7"(kptr)
: "memory", "q0", "q1", "q2", "q3", "q4", "q5", "q6", "q7", "q8", "q9", "q10", "q11", "q12", "q13", "q14", "q15"
);
#endif // __aarch64__
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
r3 += tailstep;
r4 += tailstep;
}
}
}
|
icp.h | #pragma once
/*
* Copyright (C) 2016-2018, Nils Moehrle
* All rights reserved.
*
* This software may be modified and distributed under the terms
* of the BSD 3-Clause license. See the LICENSE.txt file for details.
*/
#ifndef GEOM_ICP_HEADER
#define GEOM_ICP_HEADER
#include <limits>
#include <random>
#include <future>
#include <vector>
#include <cassert>
#include <algorithm>
#include <unordered_set>
#include "cgal_tools.h"
#include "intersection_tools.h"
#include "pointmatcher/PointMatcher.h"
constexpr float eps = std::numeric_limits<float>::epsilon();
typedef std::pair<Eigen::Vector3d, Eigen::Vector3d> Correspondence;
typedef std::vector<Correspondence> Correspondences;
typedef PointMatcher<float> PM;
typedef PM::DataPoints DP;
std::vector<uint> choose_random(std::size_t n, std::size_t from, std::size_t to) {
static std::mt19937 gen;
std::uniform_int_distribution<uint> dis(from, to);
std::unordered_set<uint> samples;
while(samples.size() < std::min(n, to - from)) {
samples.insert(dis(gen));
}
return std::vector<uint>(samples.begin(), samples.end());
}
std::pair<Eigen::Matrix3d, float> determine_rotation_and_scale(const Eigen::Matrix3d& cov, double sigma2) {
Eigen::Matrix3d U, S, V;
Eigen::JacobiSVD<Eigen::Matrix3d> svd(cov, Eigen::ComputeFullU | Eigen::ComputeFullV);
U=svd.matrixU();
S=svd.singularValues().asDiagonal();
V=svd.matrixV();
Eigen::Matrix3d VUt = V * U.transpose();
double det = VUt.determinant();
if (det > 0.0) {
double scale = S.trace() / sigma2;
return {VUt, 1.f};
} else {
Eigen::Matrix3d F;
F.fill(0.f);
F(0, 0) = 1.0; F(1, 1) = 1.0; F(2, 2) = -1.0;
double scale = (S * F).trace() / sigma2;
return {V * F * U.transpose(), scale};
}
}
std::pair<Eigen::Matrix3d, float>
determine_rotation_and_scale(std::vector<Correspondence> const & ccorrespondences)
{
Eigen::Matrix3d cov;
cov.fill(0.f);
double sigma2 = 0.0f;
for (std::size_t i = 0; i < ccorrespondences.size(); ++i) {
Eigen::Vector3d f, c;
std::tie(f, c) = ccorrespondences[i];
cov += Eigen::Matrix<double,3,1>(f.x(),f.y(),f.z()) *
Eigen::Matrix<double,1,3>(c.x(),c.y(),c.z());
sigma2 += f.squaredNorm();
}
cov /= ccorrespondences.size();
sigma2 /= ccorrespondences.size();
return determine_rotation_and_scale(cov, sigma2);
}
std::pair<Eigen::Vector3d, Eigen::Vector3d> center(std::vector<Correspondence> * correspondences) {
Eigen::Vector3d c0(0.0f,0.0f,0.0f), c1(0.0f,0.0f,0.0f);
for (std::size_t i = 0; i < correspondences->size(); ++i) {
Eigen::Vector3d f, c;
std::tie(f, c) = correspondences->at(i);
c0 += f;
c1 += c;
}
c0 /= correspondences->size();
c1 /= correspondences->size();
for (std::size_t i = 0; i < correspondences->size(); ++i) {
Eigen::Vector3d f, c;
std::tie(f, c) = correspondences->at(i);
correspondences->at(i).first = f - c0;
correspondences->at(i).second = c - c1;
}
return std::make_pair(c0, c1);
}
Eigen::Matrix4d estimate_transform(std::vector<Correspondence> correspondences)
{
if (correspondences.empty()) throw std::runtime_error("No correspondences");
Eigen::Vector3d c0, c1;
std::tie(c0, c1) = center(&correspondences);
Eigen::Matrix3d R;
float s;
std::tie(R, s) = determine_rotation_and_scale(correspondences);
Eigen::Vector3d t = c1 + (-R * s * c0);
Eigen::Matrix4d result;
result.fill(0.f);
result.block(0,0,3,3) = R * s;
result.block(0,3,3,1) = t;
result(3,3)=1.f;
return result;
}
Eigen::Matrix4d estimate_transform1(std::vector<Correspondence>& correspondences)
{
Eigen::Vector3d p1(0.f,0.f,0.f), p2(0.f,0.f,0.f);
int N = correspondences.size();
for (int i=0; i<N; i++)
{
p1 += correspondences[i].first;
p2 += correspondences[i].second;
}
p1 /= N;
p2 /= N;
// subtract COM
std::vector<Eigen::Vector3d> q1(N), q2(N);
for (int i=0; i<N; i++)
{
q1[i] = correspondences[i].first - p1;
q2[i] = correspondences[i].second - p2;
}
// compute q1*q2^T
Eigen::Matrix3d W = Eigen::Matrix3d::Zero();
for (int i=0; i<N; i++)
W += Eigen::Vector3d(q1[i].x(), q1[i].y(), q1[i].z()) * Eigen::Vector3d(q2[i].x(),q2[i].y(), q2[i].z()).transpose();
//std::cout << "W=" << W << std::endl;
// SVD on W
Eigen::JacobiSVD<Eigen::Matrix3d> svd(W, Eigen::ComputeFullU | Eigen::ComputeFullV);
Eigen::Matrix3d U = svd.matrixU();
Eigen::Matrix3d V = svd.matrixV();
//cout << "U=" << U << endl;
//cout << "V=" << V << endl;
Eigen::Matrix3d R_ = U * (V.transpose());
Eigen::Vector3d t_ = Eigen::Vector3d(p1.x(), p1.y(), p1.z()) - R_ * Eigen::Vector3d(p2.x(), p2.y(), p2.z());
// convert to cv::Mat
Eigen::Matrix4d result;
result.fill(0.f);
result(3,3)=1.f;
result.block(0,0,3,3) <<
R_(0, 0), R_(0, 1), R_(0,2),
R_(1, 0), R_(1, 1), R_(1,2),
R_(2, 0), R_(2, 1), R_(2,2);
result.block(0,3,3,1) << t_(0, 0), t_(1, 0), t_(2, 0);
return result.inverse();
}
template <typename TreeType1,typename TreeType2>
Eigen::Matrix4d estimate_transform(const PointSet3& v_source_points, const PointSet3& v_target_points,
uint num_iters, double& avg_dist_ptr, const TreeType1* v_source_tree=nullptr, const TreeType2* v_target_tree=nullptr, float square_distance_threshold = 1e-6f)
{
assert(num_iters < std::numeric_limits<uint>::max() - 1);
KDTree *kdtree_source, *kdtree_target;
if(v_source_tree==nullptr)
{
kdtree_source=new KDTree(v_source_points.points().begin(), v_source_points.points().end());
kdtree_source->build();
}
if(v_target_tree==nullptr)
{
kdtree_target=new KDTree(v_target_points.points().begin(), v_target_points.points().end());
kdtree_target->build();
}
Eigen::Matrix4d best_T;
Eigen::Matrix4d T;
T.fill(0);
T(0, 0) = T(1, 1) = T(2, 2) = T(3, 3) = 1.0;
double prev_avg_sqdist, avg_sqdist = std::numeric_limits<double>::max();
std::size_t num_verts = v_source_points.size() + v_target_points.size();
double threshold = 0.25f;
Correspondences corrs(num_verts);
Correspondences valid_corrs;
std::vector<uint8_t> valid(num_verts);
double best_distance = 99999;
const int MAX_TOLERENCE = 3;
int tolerence = MAX_TOLERENCE;
for (uint i_iter = 0; i_iter < num_iters + 1; ++i_iter) {
Eigen::Matrix4d Ti = T.inverse();
prev_avg_sqdist = avg_sqdist;
avg_sqdist = 0.0;
std::fill(valid.begin(), valid.end(), 0);
valid_corrs.clear();
valid_corrs.reserve(num_verts);
/* Find correspondences */
#pragma omp parallel for reduction(+:avg_sqdist)
for (int j = 0; j < v_source_points.size(); ++j) {
Eigen::Vector4d vertex4 = T * Eigen::Vector4d(v_source_points.point(j).x(),v_source_points.point(j).y(),v_source_points.point(j).z(),1);
Point3 vertex(vertex4.x()/vertex4.w(),vertex4.y()/vertex4.w(),vertex4.z()/vertex4.w());
Point3 cp;
if(v_target_tree)
cp = v_target_tree->closest_point(vertex);
else
{
Neighbor_search search(*kdtree_target, vertex, 1);
cp = search.begin()->first;
}
double dist = std::sqrt((vertex - cp).squared_length());
if (dist < threshold) {
avg_sqdist += dist * dist;
corrs[j] = std::make_pair(Eigen::Vector3d(vertex.x(),vertex.y(),vertex.z()), Eigen::Vector3d(cp.x(),cp.y(),cp.z()));
valid[j] = 255;
}
}
#pragma omp parallel for reduction(+:avg_sqdist)
for (int j = 0; j < v_target_points.size(); ++j) {
Eigen::Vector4d vertex4 = Ti * Eigen::Vector4d(
v_target_points.point(j).x(),
v_target_points.point(j).y(),
v_target_points.point(j).z(),
1.f);
Point3 vertex(vertex4.x()/vertex4.w(),vertex4.y()/vertex4.w(),vertex4.z()/vertex4.w());
Point3 cp;
if(v_source_tree)
cp = v_source_tree->closest_point(vertex);
else
{
Neighbor_search search(*kdtree_source, vertex, 1);
cp = search.begin()->first;
}
double dist = std::sqrt((vertex - cp).squared_length());
if (dist < threshold) {
avg_sqdist += dist * dist;
corrs[v_source_points.size() + j] = std::make_pair(Eigen::Vector3d(vertex.x(),vertex.y(),vertex.z()), Eigen::Vector3d(cp.x(),cp.y(),cp.z()));
valid[v_source_points.size() + j] = 255;
}
}
for (std::size_t j = 0; j < num_verts; ++j) {
if (valid[j] == 255) {
valid_corrs.push_back(corrs[j]);
}
}
Eigen::Matrix<double, 3, Eigen::Dynamic> source_eigen(3,valid_corrs.size());
Eigen::Matrix<double, 3, Eigen::Dynamic> target_eigen(3,valid_corrs.size());
for (std::size_t j = 0; j < valid_corrs.size(); ++j)
{
source_eigen(0,j) = valid_corrs[j].first.x();
source_eigen(1,j) = valid_corrs[j].first.y();
source_eigen(2,j) = valid_corrs[j].first.z();
target_eigen(0,j) = valid_corrs[j].second.x();
target_eigen(1,j) = valid_corrs[j].second.y();
target_eigen(2,j) = valid_corrs[j].second.z();
}
avg_sqdist /= static_cast<double>(valid_corrs.size());
std::cout << avg_sqdist << ' ' << static_cast<double>(valid_corrs.size()) / num_verts << std::endl;
double improvement = prev_avg_sqdist - avg_sqdist;
if (improvement < 1e-5f) break;
// if(best_distance<avg_sqdist) // Unsucessful transformation
// {
// tolerence--;
// }
// else if(best_distance < avg_sqdist + square_distance_threshold) // Sucessful transformation, but the improvement is too little
// {
// tolerence--;
//best_distance = std::min(avg_sqdist,best_distance);
// best_T = T;
// }
// else if(best_distance>avg_sqdist) // Sucessful transformation, reset the tolerence
// {
//best_distance = std::min(avg_sqdist,best_distance);
// tolerence = MAX_TOLERENCE;
// best_T = T;
// }
// if (tolerence < 0 || i_iter == num_iters) break;
T = Eigen::umeyama(source_eigen,target_eigen,true) * T;
//T = estimate_transform(valid_corrs) * T;
}
avg_dist_ptr = std::sqrt(avg_sqdist);
return T;
}
template <typename TreeType1, typename TreeType2>
void prepare_correspondance(const PointSet3& v_source_points, const PointSet3& v_target_points,
const TreeType1* v_source_tree, const TreeType2* v_target_tree, DP& v_recon, DP& v_ref)
{
DP::Labels featLabels;
featLabels.push_back(DP::Label("x", 1));
featLabels.push_back(DP::Label("y", 1));
featLabels.push_back(DP::Label("z", 1));
featLabels.push_back(DP::Label("pad", 1));
DP::Labels descLabels;
descLabels.push_back(DP::Label("normal", 3));
PM::Matrix recon_points;
PM::Matrix ref_points;
const bool JUST_USE_SAMPLE_POINT = false;
if (JUST_USE_SAMPLE_POINT)
{
recon_points = PM::Matrix(4, v_source_points.size());
ref_points = PM::Matrix(4, v_target_points.size());
}
else
{
recon_points = PM::Matrix(4, v_source_points.size() + v_target_points.size());
ref_points = PM::Matrix(4, v_source_points.size() + v_target_points.size());
}
#pragma omp parallel for
for (int j = 0; j < v_source_points.size(); ++j) {
if(JUST_USE_SAMPLE_POINT)
{
recon_points(0, j) = v_source_points.point(j).x();
recon_points(1, j) = v_source_points.point(j).y();
recon_points(2, j) = v_source_points.point(j).z();
recon_points(3, j) = 1;
}
else
{
Point3 cp;
cp = v_target_tree->closest_point(v_source_points.point(j));
recon_points(0, j) = v_source_points.point(j).x();
recon_points(1, j) = v_source_points.point(j).y();
recon_points(2, j) = v_source_points.point(j).z();
recon_points(3, j) = 1;
ref_points(0, j) = cp.x();
ref_points(1, j) = cp.y();
ref_points(2, j) = cp.z();
ref_points(3, j) = 1;
}
}
#pragma omp parallel for
for (int j = 0; j < v_target_points.size(); ++j) {
if (JUST_USE_SAMPLE_POINT)
{
ref_points(0, j) = v_target_points.point(j).x();
ref_points(1, j) = v_target_points.point(j).y();
ref_points(2, j) = v_target_points.point(j).z();
ref_points(3, j) = 1;
}
else
{
Point3 cp;
cp = v_source_tree->closest_point(v_target_points.point(j));
ref_points(0, v_source_points.size() + j) = v_target_points.point(j).x();
ref_points(1, v_source_points.size() + j) = v_target_points.point(j).y();
ref_points(2, v_source_points.size() + j) = v_target_points.point(j).z();
ref_points(3, v_source_points.size() + j) = 1;
recon_points(0, v_source_points.size() + j) = cp.x();
recon_points(1, v_source_points.size() + j) = cp.y();
recon_points(2, v_source_points.size() + j) = cp.z();
recon_points(3, v_source_points.size() + j) = 1;
}
}
v_recon = DP(recon_points,featLabels);
v_ref = DP(ref_points, featLabels);
return;
}
template <typename TreeType1, typename TreeType2>
Eigen::Matrix4d estimate_transform_plus(const PointSet3& v_source_points, const PointSet3& v_target_points,
uint num_iters, double& avg_dist_ptr, const TreeType1* v_source_tree = nullptr, const TreeType2* v_target_tree = nullptr, float square_distance_threshold = 0.25f)
{
assert(num_iters < std::numeric_limits<uint>::max() - 1);
Eigen::Matrix4d T;
T.fill(0);
T(0, 0) = T(1, 1) = T(2, 2) = T(3, 3) = 1.0;
// Setup libpointmatcher
DP recon, ref;
PM::ICP icp;
{
prepare_correspondance(v_source_points, v_target_points, v_source_tree, v_target_tree, recon, ref);
icp.setDefault();
PointMatcherSupport::Parametrizable::Parameters params;
std::string name;
// Checker
name = "DifferentialTransformationChecker";
params["minDiffRotErr"] = "0.00001";
params["minDiffTransErr"] = "0.00001";
params["smoothLength"] = "4";
std::shared_ptr<PM::TransformationChecker> diff =
PM::get().TransformationCheckerRegistrar.create(name, params);
params.clear();
// Prepare outlier filters
name = "MaxDistOutlierFilter";
params["maxDist"] = std::to_string(square_distance_threshold);
std::shared_ptr<PM::OutlierFilter> trim =
PM::get().OutlierFilterRegistrar.create(name, params);
params.clear();
icp.transformationCheckers.clear();
icp.transformationCheckers.push_back(diff);
icp.outlierFilters.clear();
icp.outlierFilters.push_back(trim);
PM::TransformationParameters icp_result = icp(recon, ref);
float matchRatio = icp.errorMinimizer->getWeightedPointUsedRatio();
float overlap = icp.errorMinimizer->getOverlap();
DP data_out(recon);
icp.transformations.apply(data_out, icp_result);
icp.matcher->init(ref);
PM::Matches matches = icp.matcher->findClosests(data_out);
PM::OutlierWeights outlierWeights = icp.outlierFilters.compute(data_out, ref, matches);
float error = 0;
for (int i = 0;i < recon.getNbPoints();++i)
if (outlierWeights(0, i) == 1.f)
error += matches.dists(0, i);
error /= recon.getNbPoints();
LOG(INFO) << boost::format("%f points useds; Overlap is %f; Error is %f") % matchRatio % overlap % error;
T = icp_result.cast<double>();
avg_dist_ptr = error;
}
return T;
}
#endif /* GEOM_ICP_HEADER */ |
VertexStep.h | #ifndef VERTEX_STEP_H
#define VERTEX_STEP_H
#include <string>
#include <vector>
#include <set>
#include <algorithm>
#include "step/TraversalStep.h"
#include "structure/Direction.h"
#include "step/graph/GraphStep.h"
#include "traversal/Traverser.h"
#include "traversal/GraphTraversal.h"
#include <boost/lockfree/stack.hpp>
#define VERTEX_STEP 0x80
class VertexStep : public TraversalStep {
private:
Direction direction;
std::set<std::string> edge_labels;
GraphStepType gsType;
public:
VertexStep(Direction dir, std::vector<std::string> edge_labels_arg, GraphStepType gsType_arg)
: TraversalStep(MAP, VERTEX_STEP) {
direction = dir;
std::for_each(edge_labels_arg.begin(), edge_labels_arg.end(), [&](std::string str){ this->edge_labels.insert(str); });
this->gsType = gsType_arg;
}
VertexStep(Direction dir, GraphStepType gsType_arg)
: TraversalStep(MAP, VERTEX_STEP) {
direction = dir;
this->gsType = gsType_arg;
}
Direction get_direction() {
return this->direction;
}
std::set<std::string> get_labels() {
return this->edge_labels;
}
virtual std::string getInfo() {
std::string info = "VertexStep(";
info += (direction == IN ? "IN" : direction == OUT ? "OUT" : "BOTH");
info += ", ";
if(!edge_labels.empty()) {
info += "{";
auto p = edge_labels.begin();
for(int k = 0; k < edge_labels.size() - 1; k++) info = info + *(p++) + ", ";
info = info + *p + "}";
}
else info += "{}";
info = info + ", " + (gsType == VERTEX ? "VERTEX" : "EDGE");
return info + ")";
}
virtual void apply(GraphTraversal* traversal, TraverserSet& traversers) {
bool label_required = !this->edge_labels.empty();
std::vector<Traverser*> new_traversers;
//boost::lockfree::stack<Traverser*> new_traversers(8);
std::for_each(traversers.begin(), traversers.end(), [&, this](Traverser* trv) {
Vertex* v = boost::any_cast<Vertex*>(trv->get());
std::vector<Edge*> edges = v->edges(direction);
//#pragma omp for
for(size_t k = 0; k < edges.size(); ++k) {
Edge* e = edges[k];
if(label_required && this->edge_labels.count(e->label()) == 0) continue;
switch(direction) {
case IN: {
Vertex* w = e->outV();
new_traversers.push_back(new Traverser(w));
break;
}
case OUT: {
Vertex* w = e->inV();
new_traversers.push_back(new Traverser(w));
break;
}
case BOTH: {
Vertex* u = e->outV();
Vertex* w = u == v ? e->inV() : u;
new_traversers.push_back(new Traverser(w));
break;
}
}
}
});
traversers.swap(new_traversers);
std::for_each(new_traversers.begin(), new_traversers.end(), [](Traverser* trav){delete trav;});
//traversers.clear();
//new_traversers.consume_all([&](Traverser* trv){ traversers.push_back(trv); });
}
};
#endif |
6293.c | /* POLYBENCH/GPU-OPENMP
*
* This file is a part of the Polybench/GPU-OpenMP suite
*
* Contact:
* William Killian <killian@udel.edu>
*
* Copyright 2013, The University of Delaware
*/
#include <stdio.h>
#include <unistd.h>
#include <string.h>
#include <math.h>
/* Include polybench common header. */
#include <polybench.h>
/* Include benchmark-specific header. */
/* Default data type is double, default size is 4000. */
#include "3mm.h"
/* Array initialization. */
static
void init_array(int ni, int nj, int nk, int nl, int nm,
DATA_TYPE POLYBENCH_2D(A,NI,NK,ni,nk),
DATA_TYPE POLYBENCH_2D(B,NK,NJ,nk,nj),
DATA_TYPE POLYBENCH_2D(C,NJ,NM,nj,nm),
DATA_TYPE POLYBENCH_2D(D,NM,NL,nm,nl))
{
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nk; j++)
A[i][j] = ((DATA_TYPE) i*j) / ni;
for (i = 0; i < nk; i++)
for (j = 0; j < nj; j++)
B[i][j] = ((DATA_TYPE) i*(j+1)) / nj;
for (i = 0; i < nj; i++)
for (j = 0; j < nm; j++)
C[i][j] = ((DATA_TYPE) i*(j+3)) / nl;
for (i = 0; i < nm; i++)
for (j = 0; j < nl; j++)
D[i][j] = ((DATA_TYPE) i*(j+2)) / nk;
}
/* DCE code. Must scan the entire live-out data.
Can be used also to check the correctness of the output. */
static
void print_array(int ni, int nl,
DATA_TYPE POLYBENCH_2D(G,NI,NL,ni,nl))
{
int i, j;
for (i = 0; i < ni; i++)
for (j = 0; j < nl; j++) {
fprintf (stderr, DATA_PRINTF_MODIFIER, G[i][j]);
if ((i * ni + j) % 20 == 0) fprintf (stderr, "\n");
}
fprintf (stderr, "\n");
}
/* Main computational kernel. The whole function will be timed,
including the call and return. */
static
void kernel_3mm(int ni, int nj, int nk, int nl, int nm,
DATA_TYPE POLYBENCH_2D(E,NI,NJ,ni,nj),
DATA_TYPE POLYBENCH_2D(A,NI,NK,ni,nk),
DATA_TYPE POLYBENCH_2D(B,NK,NJ,nk,nj),
DATA_TYPE POLYBENCH_2D(F,NJ,NL,nj,nl),
DATA_TYPE POLYBENCH_2D(C,NJ,NM,nj,nm),
DATA_TYPE POLYBENCH_2D(D,NM,NL,nm,nl),
DATA_TYPE POLYBENCH_2D(G,NI,NL,ni,nl))
{
int i, j, k;
#pragma scop
#pragma omp parallel private (i, j, k) num_threads(#P11)
{
/* E := A*B */
#pragma omp target teams distribute thread_limit(256) schedule(dynamic, 4)
for (i = 0; i < _PB_NI; i++)
{
for (j = 0; j < _PB_NJ; j++)
{
E[i][j] = 0;
for (k = 0; k < _PB_NK; ++k)
E[i][j] += A[i][k] * B[k][j];
}
}
/* F := C*D */
#pragma omp target teams distribute thread_limit(256) schedule(dynamic, 4)
for (i = 0; i < _PB_NJ; i++)
{
for (j = 0; j < _PB_NL; j++)
{
F[i][j] = 0;
for (k = 0; k < _PB_NM; ++k)
F[i][j] += C[i][k] * D[k][j];
}
}
/* G := E*F */
#pragma omp target teams distribute thread_limit(256) schedule(dynamic, 4)
for (i = 0; i < _PB_NI; i++)
{
for (j = 0; j < _PB_NL; j++)
{
G[i][j] = 0;
for (k = 0; k < _PB_NJ; ++k)
G[i][j] += E[i][k] * F[k][j];
}
}
}
#pragma endscop
}
int main(int argc, char** argv)
{
/* Retrieve problem size. */
int ni = NI;
int nj = NJ;
int nk = NK;
int nl = NL;
int nm = NM;
/* Variable declaration/allocation. */
POLYBENCH_2D_ARRAY_DECL(E, DATA_TYPE, NI, NJ, ni, nj);
POLYBENCH_2D_ARRAY_DECL(A, DATA_TYPE, NI, NK, ni, nk);
POLYBENCH_2D_ARRAY_DECL(B, DATA_TYPE, NK, NJ, nk, nj);
POLYBENCH_2D_ARRAY_DECL(F, DATA_TYPE, NJ, NL, nj, nl);
POLYBENCH_2D_ARRAY_DECL(C, DATA_TYPE, NJ, NM, nj, nm);
POLYBENCH_2D_ARRAY_DECL(D, DATA_TYPE, NM, NL, nm, nl);
POLYBENCH_2D_ARRAY_DECL(G, DATA_TYPE, NI, NL, ni, nl);
/* Initialize array(s). */
init_array (ni, nj, nk, nl, nm,
POLYBENCH_ARRAY(A),
POLYBENCH_ARRAY(B),
POLYBENCH_ARRAY(C),
POLYBENCH_ARRAY(D));
/* Start timer. */
polybench_start_instruments;
/* Run kernel. */
kernel_3mm (ni, nj, nk, nl, nm,
POLYBENCH_ARRAY(E),
POLYBENCH_ARRAY(A),
POLYBENCH_ARRAY(B),
POLYBENCH_ARRAY(F),
POLYBENCH_ARRAY(C),
POLYBENCH_ARRAY(D),
POLYBENCH_ARRAY(G));
/* Stop and print timer. */
polybench_stop_instruments;
polybench_print_instruments;
/* Prevent dead-code elimination. All live-out data must be printed
by the function call in argument. */
polybench_prevent_dce(print_array(ni, nl, POLYBENCH_ARRAY(G)));
/* Be clean. */
POLYBENCH_FREE_ARRAY(E);
POLYBENCH_FREE_ARRAY(A);
POLYBENCH_FREE_ARRAY(B);
POLYBENCH_FREE_ARRAY(F);
POLYBENCH_FREE_ARRAY(C);
POLYBENCH_FREE_ARRAY(D);
POLYBENCH_FREE_ARRAY(G);
return 0;
}
|
Example_SIMD.8.c | /*
* @@name: SIMD.8c
* @@type: C
* @@compilable: yes
* @@linkable: yes
* @@expect: success
* @@version: omp_4.0
*/
#include <stdio.h>
#include <math.h>
int P[1000];
float A[1000];
float do_work(float *arr)
{
float pri;
int i;
#pragma omp simd lastprivate(pri)
for (i = 0; i < 999; ++i) {
int j = P[i];
pri = 0.5f;
if (j % 2 == 0) {
pri = A[j+1] + arr[i];
}
A[j] = pri * 1.5f;
pri = pri + A[j];
}
return pri;
}
int main(void)
{
float pri, arr[1000];
int i;
for (i = 0; i < 1000; ++i) {
P[i] = i;
A[i] = i * 1.5f;
arr[i] = i * 1.8f;
}
pri = do_work(&arr[0]);
if (pri == 8237.25) {
printf("passed: result pri = %7.2f (8237.25) \n", pri);
}
else {
printf("failed: result pri = %7.2f (8237.25) \n", pri);
}
return 0;
}
|
DRB006-indirectaccess2-orig-yes.c | /*
Copyright (C) 1991-2018 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it andor
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 Unicode 10.0.0. Version 10.0 of the Unicode Standard is
synchronized with ISOIEC 10646:2017, fifth edition, plus
the following additions from Amendment 1 to the fifth edition:
- 56 emoji characters
- 285 hentaigana
- 3 additional Zanabazar Square characters
*/
/*
Copyright (c) 2017, Lawrence Livermore National Security, LLC.
Produced at the Lawrence Livermore National Laboratory
Written by Chunhua Liao, Pei-Hung Lin, Joshua Asplund,
Markus Schordan, and Ian Karlin
(email: liao6@llnl.gov, lin32@llnl.gov, asplund1@llnl.gov,
schordan1@llnl.gov, karlin1@llnl.gov)
LLNL-CODE-732144
All rights reserved.
This file is part of DataRaceBench. For details, see
https:github.comLLNL/dataracebench. Please also see the LICENSE file
for our additional BSD notice.
Redistribution and use in source and binary forms, with
or without modification, are permitted provided that the following
conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the disclaimer below.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the disclaimer (as noted below)
in the documentation and/or other materials provided with the
distribution.
* Neither the name of the LLNS/LLNL nor the names of its contributors
may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL LAWRENCE LIVERMORE NATIONAL
SECURITY, LLC, THE U.S. DEPARTMENT OF ENERGY OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
*/
/*
Two pointers have a distance of 12 (p1 - p2 = 12).
They are used as base addresses for indirect array accesses using an index set (another array).
The index set has two indices with a distance of 12 :
indexSet[5]- indexSet[0] = 533 - 521 = 12
So there is loop carried dependence (e.g. between loops with index values of 0 and 5).
We use the default loop scheduling (static even) in OpenMP.
It is possible that two dependent iterations will be scheduled
within a same chunk to a same thread. So there is no runtime data races.
When N is 180, two iteraions with N=0 and N= 5 have loop carried dependences.
For static even scheduling, we must have at least 36 threads (18036=5 iterations)
so iteration 0 and 5 will be scheduled to two different threads.
Data race pair: xa1[idx]@128:5 vs. xa2[idx]@129:5
*/
#include <assert.h>
#include <stdio.h>
#include <stdlib.h>
/* 521+12=533 */
int indexSet[180] = {521, 523, 525, 527, 529, 533, 547, 549, 551, 553, 555, 557, 573, 575, 577, 579, 581, 583, 599, 601, 603, 605, 607, 609, 625, 627, 629, 631, 633, 635, 651, 653, 655, 657, 659, 661, 859, 861, 863, 865, 867, 869, 885, 887, 889, 891, 893, 895, 911, 913, 915, 917, 919, 921, 937, 939, 941, 943, 945, 947, 963, 965, 967, 969, 971, 973, 989, 991, 993, 995, 997, 999, 1197, 1199, 1201, 1203, 1205, 1207, 1223, 1225, 1227, 1229, 1231, 1233, 1249, 1251, 1253, 1255, 1257, 1259, 1275, 1277, 1279, 1281, 1283, 1285, 1301, 1303, 1305, 1307, 1309, 1311, 1327, 1329, 1331, 1333, 1335, 1337, 1535, 1537, 1539, 1541, 1543, 1545, 1561, 1563, 1565, 1567, 1569, 1571, 1587, 1589, 1591, 1593, 1595, 1597, 1613, 1615, 1617, 1619, 1621, 1623, 1639, 1641, 1643, 1645, 1647, 1649, 1665, 1667, 1669, 1671, 1673, 1675, 1873, 1875, 1877, 1879, 1881, 1883, 1899, 1901, 1903, 1905, 1907, 1909, 1925, 1927, 1929, 1931, 1933, 1935, 1951, 1953, 1955, 1957, 1959, 1961, 1977, 1979, 1981, 1983, 1985, 1987, 2003, 2005, 2007, 2009, 2011, 2013};
int main(int argc, char * argv[])
{
double * xa1 = (double * )malloc(sizeof (double)*((2013+1)+12));
double * xa2 = (double * )malloc(sizeof (double)*((2013+1)+12));
int i;
int _ret_val_0;
if ((xa1==0)||(xa2==0))
{
printf("Error in malloc(). Aborting ...\n");
_ret_val_0=1;
return _ret_val_0;
}
/* initialize segments touched by indexSet */
#pragma cetus private(i)
#pragma loop name main#0
#pragma cetus parallel
#pragma omp parallel for private(i)
for (i=521; i<=2025; ++ i)
{
xa1[i]=(0.5*i);
xa2[i]=(1.5*i);
}
#pragma cetus private(idx)
#pragma loop name main#1
for (i=0; i<180; ++ i)
{
int idx = indexSet[i];
xa1[idx]+=1.0;
xa2[idx]+=3.0;
}
printf("x1[999]=%f xa2[1285]=%f\n", xa1[999], xa2[1285]);
free(xa1);
free(xa2);
_ret_val_0=0;
return _ret_val_0;
}
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