source stringlengths 3 92 | c stringlengths 26 2.25M |
|---|---|
func.c | #include <stdio.h>
#include <omp.h>
void write_result(double *U, int N, double delta, char filename[40]) {
double u, y, x;
FILE *matrix=fopen(filename, "w");
for (int i = 0; i < N; i++) {
x = -1.0 + i * delta + delta * 0.5;
for (int j = 0; j < N; j++) {
y = -1.0 + j * delta + delta * 0.5;
u = U[i*N + j];
fprintf(matrix, "%g\t%g\t%g\n", x,y,u);
}
}
fclose(matrix);
}
void jac_cpu(int N, double delta, int max_iter, double *f, double *u, double *u_old) {
int i,j,k=0;
double *temp;
// do calculations
#pragma omp parallel shared(f, u, u_old, N) private(i, j) firstprivate(k)
{
while (k < max_iter) {
#pragma omp single
{
// Set u_old = u
temp = u;
u = u_old;
u_old = temp;
}
#pragma omp for
for (i = 1; i < N-1; i++) {
for (j = 1; j < N-1; j++) {
// Update u
u[i*N + j] = 0.25 * (u_old[(i-1)*N + j] + u_old[(i+1)*N + j] + u_old[i*N + (j-1)] + u_old[i*N + (j+1)] + delta*delta*f[i*N + j]);
}
}
k++;
}/* end while */
} /* end of parallel region */;
}
|
omp.c | /*
* Copyright 2019-2020 SALMON developers
*
* 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.
*/
/* Hand-Code Vector processing for Knights Corner */
#include <complex.h>
#include <assert.h>
#include "./glue.h"
void zstencil_tuned_omp_imp( const int PNLx
, const int PNLy
, const int PNLz
, const int NLx
, const int NLy
, const int NLz
, const int NHx
, const int NHy
, const int NHz
, int const * restrict modx
, int const * restrict mody
, int const * restrict modz
, double const * restrict A
, double const B[restrict NLz][NLy][NLx]
, double const C[restrict 12]
, double const D[restrict 12]
, double complex const E[restrict PNLz][PNLy][PNLx]
, double complex F[restrict PNLz][PNLy][PNLx]
)
{
const int NSx = NHx * 2, NSy = NHy * 2, NSz = NHz * 2;
const int isx = NHx, isy = NHy, isz = NHz;
const int iex = isx + NLx, iey = isy + NLy, iez = isz + NLz;
__m512d at = _mm512_set1_pd(*A);
__m512d HALF = _mm512_set1_pd(-0.5);
__m512i INV = _mm512_set4_epi64(1LL << 63, 0, 1LL << 63, 0);
__declspec(align(64)) double G[12];
for(int n = 0 ; n < 12 ; ++n)
G[n] = C[n] * -0.5;
__m512i nly = _mm512_set1_epi32(PNLy);
__m512i nlx = _mm512_set1_epi32(PNLx);
__m512i nyz = _mm512_mask_blend_epi32(0xFF00, _mm512_set1_epi32(PNLy), _mm512_set1_epi32(PNLz));
__m512i nlyx = _mm512_mask_mullo_epi32(nlx, 0xFF00, nlx, nly);
__declspec(align(64)) int yz_table[16];
#pragma omp parallel for collapse(2) default(none) \
private(yz_table) \
firstprivate(NLx,NLy,NLz,NSx,NSy,NSz) \
firstprivate(G,D,isx,iex,isy,iey,isz,iez) \
firstprivate(at,HALF,INV,nly,nlx,nyz,nlyx) \
shared(B,E,F,modx,mody,modz)
#pragma noprefetch
#pragma novector
for(int iz = isz ; iz < iez ; ++iz)
{
for(int iy = isy ; iy < iey ; ++iy)
{
__m512i tiz = _mm512_set1_epi32(iz);
__m512i tiy = _mm512_set1_epi32(iy);
__m512i mzm = _mm512_loadu_prefetch_epi32(modz + (iz - 4 + NLz + NSz));
__m512i mzp = _mm512_alignr_epi32(mzm, mzm, 1);
__m512i zmp = _mm512_mask_blend_epi32(0xF0F0, mzm, mzp);
zmp = _mm512_permute4f128_epi32(zmp, _MM_PERM_BADC);
__m512i mym = _mm512_loadu_prefetch_epi32(mody + (iy - 4 + NLy + NSy));
__m512i myp = _mm512_alignr_epi32(mym, mym, 1);
__m512i ymp = _mm512_mask_blend_epi32(0xF0F0, mym, myp);
__m512i uyz = _mm512_mask_blend_epi32(0xFF00, ymp, zmp);
__m512i tyz = _mm512_mask_blend_epi32(0xFF00, tiy, tiz);
__m512i *yz = (__m512i*) yz_table;
double const* b = &B[iz-isz][iy-isy][0];
double complex const* e = &E[iz ][iy ][0];
double complex * f = &F[iz ][iy ][0];
for(int ix = isx ; ix < iex ; ix += 4)
{
__m512i tix = _mm512_set1_epi32(ix);
__m512i mm = _mm512_sub_epi32(tyz, uyz);
*yz = _mm512_sub_epi32(tix, _mm512_mullo_epi32(mm, nlyx));
__m512d ex = _mm512_load_prefetch_pd(e + ix);
__m512d tt = _mm512_setzero_pd();
__m512d ut = _mm512_setzero_pd();
__m512d m, p, bt, v0, v1, v2, v3, v4;
/* x-dimension (unit stride) */
{
__m512i x0, x2;
x0 = _mm512_load_prefetch_epi64(e + modx[ix - 4 + NLx + NSx]);
x2 = _mm512_load_prefetch_epi64(e + modx[ix + 4 + NLx + NSx]);
{
m = (__m512d) _mm512_alignr_epi32((__m512i) ex, x0, 12);
p = (__m512d) _mm512_alignr_epi32(x2, (__m512i) ex, 4);
v4 = _mm512_sub_pd(p, m);
v3 = _mm512_add_pd(p, m);
ut = _mm512_fmadd_pd(_mm512_set1_pd(D[0]), v4, ut);
tt = _mm512_fmadd_pd(_mm512_set1_pd(G[0]), v3, tt);
}
{
m = (__m512d) _mm512_alignr_epi32((__m512i) ex, x0, 8);
p = (__m512d) _mm512_alignr_epi32(x2, (__m512i) ex, 8);
v4 = _mm512_sub_pd(p, m);
v3 = _mm512_add_pd(p, m);
ut = _mm512_fmadd_pd(_mm512_set1_pd(D[1]), v4, ut);
tt = _mm512_fmadd_pd(_mm512_set1_pd(G[1]), v3, tt);
}
{
m = (__m512d) _mm512_alignr_epi32((__m512i) ex, x0, 4);
p = (__m512d) _mm512_alignr_epi32(x2, (__m512i) ex, 12);
v4 = _mm512_sub_pd(p, m);
v3 = _mm512_add_pd(p, m);
ut = _mm512_fmadd_pd(_mm512_set1_pd(D[2]), v4, ut);
tt = _mm512_fmadd_pd(_mm512_set1_pd(G[2]), v3, tt);
}
{
m = (__m512d) x0;
p = (__m512d) x2;
v4 = _mm512_sub_pd(p, m);
v3 = _mm512_add_pd(p, m);
ut = _mm512_fmadd_pd(_mm512_set1_pd(D[3]), v4, ut);
tt = _mm512_fmadd_pd(_mm512_set1_pd(G[3]), v3, tt);
}
}
/* y-dimension (NLx stride) */
{
#pragma unroll(4)
for(int n = 0 ; n < 4 ; ++n) {
m = _mm512_load_prefetch_pd(e + yz_table[3-n]);
p = _mm512_load_prefetch_pd(e + yz_table[n+4]);
v4 = _mm512_sub_pd(p, m);
v3 = _mm512_add_pd(p, m);
ut = _mm512_fmadd_pd(_mm512_set1_pd(D[n+4]), v4, ut);
tt = _mm512_fmadd_pd(_mm512_set1_pd(G[n+4]), v3, tt);
}
}
/* z-dimension (NLy*NLx stride) */
{
#pragma unroll(4)
for(int n = 0 ; n < 4 ; ++n) {
m = _mm512_load_prefetch_pd(e + yz_table[11-n]);
p = _mm512_load_prefetch_pd(e + yz_table[n+12]);
v4 = _mm512_sub_pd(p, m);
v3 = _mm512_add_pd(p, m);
ut = _mm512_fmadd_pd(_mm512_set1_pd(D[n+8]), v4, ut);
tt = _mm512_fmadd_pd(_mm512_set1_pd(G[n+8]), v3, tt);
}
}
bt = dcast_to_dcmplx(b + ix - isx);
v2 = _mm512_fmadd_pd(at, ex, tt);
v4 = (__m512d) _mm512_shuffle_epi32((__m512i) ut, _MM_PERM_BADC);
v3 = (__m512d) _mm512_xor_si512((__m512i) v4, INV);
v1 = _mm512_add_pd(v2, v3);
v0 = _mm512_fmadd_pd(bt, ex, v1);
_mm512_storenrngo_pd(&f[ix], v0);
} /* NLx */
} /* NLy */
} /* NLz */
}
/*
* is_array: one origin
* ie_array: one origin
* is : one origin
* ie : one origin
*/
void zstencil_tuned_omp_( int const is_array[restrict 3]
, int const ie_array[restrict 3]
, int const is[restrict 3]
, int const ie[restrict 3]
, int const * restrict modx
, int const * restrict mody
, int const * restrict modz
, double complex const * restrict E
, double complex * restrict F
, double const * restrict B
, double const * restrict A_
, double const C[restrict 12]
, double const D[restrict 12]
)
{
#define INT_ABS(X) (X) < 0 ? -(X) : (X)
const int PNLx = ie_array[0] - is_array[0] + 1;
const int PNLy = ie_array[1] - is_array[1] + 1;
const int PNLz = ie_array[2] - is_array[2] + 1;
const int NLx = ie[0] - is[0] + 1; // lattice
const int NLy = ie[1] - is[1] + 1;
const int NLz = ie[2] - is[2] + 1;
const int NHx = INT_ABS(is_array[0] - is[0]); // shadow
const int NHy = INT_ABS(is_array[1] - is[1]);
const int NHz = INT_ABS(is_array[2] - is[2]);
#undef INT_ABS
assert(NLx % 4 == 0);
assert(NHx == 4 || NHx == 0);
assert(NHy == 4 || NHy == 0);
assert(NHz == 4 || NHz == 0);
zstencil_tuned_omp_imp(PNLx, PNLy, PNLz, NLx, NLy, NLz, NHx, NHy, NHz, modx, mody, modz
, A_
, (double const (* restrict)[NLy][NLx])(B)
, C
, D
, (double complex const (* restrict)[PNLy][PNLx])(E)
, (double complex (* restrict)[PNLy][PNLx])(F)
);
}
|
pi-v9.c | /*
* Compute pi by approximating the area under the curve f(x) = 4 / (1 + x*x)
* between 0 and 1.
*
* parallel version using OpenMP
*/
#include <stdio.h>
#include <stdlib.h>
#include <omp.h> /* OpenMP */
#if _DEBUG_
#define _DEBUG_ 1
#else
#define _DEBUG_ 0
#endif
int main(int argc, char *argv[]) {
double x, sum=0.0, pi=0.0;
#if !_DEBUG_
double start,end;
#endif
int i;
const char Usage[] = "Usage: pi <num_steps> (try 1000000000)\n";
if (argc < 2) {
fprintf(stderr, Usage);
exit(1);
}
int num_steps = atoi(argv[1]);
double step = 1.0/(double) num_steps;
#if !_DEBUG_
start= omp_get_wtime();
#endif
/* do computation -- using all available threads */
// WARNING : correct code
#pragma omp parallel private(i,x) reduction(+:sum)
{
#if _DEBUG_
int id = omp_get_thread_num();
#endif
#pragma omp for schedule(dynamic) // default 1 iteration per chunk
for (i=0; i < num_steps; i++) {
x = (i+0.5)*step;
sum += 4.0/(1.0+x*x);
#if _DEBUG_
printf("thread id:%d it:%d\n",id,i);
#endif
}
}
pi = step * sum;
#if !_DEBUG_
end = omp_get_wtime();
printf("Wall clock execution time = %.9f seconds\n", end-start);
#endif
/* print results */
printf("Value of pi = %12.10f\n", pi);
return EXIT_SUCCESS;
}
|
compatibility.h | // -*- C++ -*-
// Copyright (C) 2007-2021 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
/** @file parallel/compatibility.h
* @brief Compatibility layer, mostly concerned with atomic operations.
*
* This file is a GNU parallel extension to the Standard C++ Library
* and contains implementation details for the library's internal use.
*/
// Written by Felix Putze.
#ifndef _GLIBCXX_PARALLEL_COMPATIBILITY_H
#define _GLIBCXX_PARALLEL_COMPATIBILITY_H 1
#include <parallel/types.h>
#include <parallel/base.h>
#if !defined(_WIN32) || defined (__CYGWIN__)
#include <sched.h>
#endif
#ifdef __MINGW32__
// Including <windows.h> will drag in all the windows32 names. Since
// that can cause user code portability problems, we just declare the
// one needed function here.
extern "C"
__attribute((dllimport)) void __attribute__((stdcall)) Sleep (unsigned long);
#endif
namespace __gnu_parallel
{
template<typename _Tp>
inline _Tp
__add_omp(volatile _Tp* __ptr, _Tp __addend)
{
int64_t __res;
#pragma omp critical
{
__res = *__ptr;
*(__ptr) += __addend;
}
return __res;
}
/** @brief Add a value to a variable, atomically.
*
* @param __ptr Pointer to a signed integer.
* @param __addend Value to add.
*/
template<typename _Tp>
inline _Tp
__fetch_and_add(volatile _Tp* __ptr, _Tp __addend)
{
if (__atomic_always_lock_free(sizeof(_Tp), __ptr))
return __atomic_fetch_add(__ptr, __addend, __ATOMIC_ACQ_REL);
return __add_omp(__ptr, __addend);
}
template<typename _Tp>
inline bool
__cas_omp(volatile _Tp* __ptr, _Tp __comparand, _Tp __replacement)
{
bool __res = false;
#pragma omp critical
{
if (*__ptr == __comparand)
{
*__ptr = __replacement;
__res = true;
}
}
return __res;
}
/** @brief Compare-and-swap
*
* Compare @c *__ptr and @c __comparand. If equal, let @c
* *__ptr=__replacement and return @c true, return @c false otherwise.
*
* @param __ptr Pointer to signed integer.
* @param __comparand Compare value.
* @param __replacement Replacement value.
*/
template<typename _Tp>
inline bool
__compare_and_swap(volatile _Tp* __ptr, _Tp __comparand, _Tp __replacement)
{
if (__atomic_always_lock_free(sizeof(_Tp), __ptr))
return __atomic_compare_exchange_n(__ptr, &__comparand, __replacement,
false, __ATOMIC_ACQ_REL,
__ATOMIC_RELAXED);
return __cas_omp(__ptr, __comparand, __replacement);
}
/** @brief Yield control to another thread, without waiting for
* the end of the time slice.
*/
inline void
__yield()
{
#if defined (_WIN32) && !defined (__CYGWIN__)
Sleep(0);
#else
sched_yield();
#endif
}
} // end namespace
#endif /* _GLIBCXX_PARALLEL_COMPATIBILITY_H */
|
transform.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% TTTTT RRRR AAA N N SSSSS FFFFF OOO RRRR M M %
% T R R A A NN N SS F O O R R MM MM %
% T RRRR AAAAA N N N SSS FFF O O RRRR M M M %
% T R R A A N NN SS F O O R R M M %
% T R R A A N N SSSSS F OOO R R M M %
% %
% %
% MagickCore Image Transform Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2021 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/attribute.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite.h"
#include "MagickCore/distort.h"
#include "MagickCore/draw.h"
#include "MagickCore/effect.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/image.h"
#include "MagickCore/memory_.h"
#include "MagickCore/layer.h"
#include "MagickCore/list.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/profile-private.h"
#include "MagickCore/property.h"
#include "MagickCore/resource_.h"
#include "MagickCore/resize.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/transform.h"
#include "MagickCore/transform-private.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o O r i e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoOrientImage() adjusts an image so that its orientation is suitable for
% viewing (i.e. top-left orientation).
%
% The format of the AutoOrientImage method is:
%
% Image *AutoOrientImage(const Image *image,
% const OrientationType orientation,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image.
%
% o orientation: Current image orientation.
%
% o exception: Return any errors or warnings in this structure.
%
*/
MagickExport Image *AutoOrientImage(const Image *image,
const OrientationType orientation,ExceptionInfo *exception)
{
Image
*orient_image;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
orient_image=(Image *) NULL;
switch(orientation)
{
case UndefinedOrientation:
case TopLeftOrientation:
default:
{
orient_image=CloneImage(image,0,0,MagickTrue,exception);
break;
}
case TopRightOrientation:
{
orient_image=FlopImage(image,exception);
break;
}
case BottomRightOrientation:
{
orient_image=RotateImage(image,180.0,exception);
break;
}
case BottomLeftOrientation:
{
orient_image=FlipImage(image,exception);
break;
}
case LeftTopOrientation:
{
orient_image=TransposeImage(image,exception);
break;
}
case RightTopOrientation:
{
orient_image=RotateImage(image,90.0,exception);
break;
}
case RightBottomOrientation:
{
orient_image=TransverseImage(image,exception);
break;
}
case LeftBottomOrientation:
{
orient_image=RotateImage(image,270.0,exception);
break;
}
}
if (orient_image != (Image *) NULL)
orient_image->orientation=TopLeftOrientation;
return(orient_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h o p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ChopImage() removes a region of an image and collapses the image to occupy
% the removed portion.
%
% The format of the ChopImage method is:
%
% Image *ChopImage(const Image *image,const RectangleInfo *chop_info)
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o chop_info: Define the region of the image to chop.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ChopImage(const Image *image,const RectangleInfo *chop_info,
ExceptionInfo *exception)
{
#define ChopImageTag "Chop/Image"
CacheView
*chop_view,
*image_view;
Image
*chop_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
extent;
ssize_t
y;
/*
Check chop geometry.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
assert(chop_info != (RectangleInfo *) NULL);
if (((chop_info->x+(ssize_t) chop_info->width) < 0) ||
((chop_info->y+(ssize_t) chop_info->height) < 0) ||
(chop_info->x > (ssize_t) image->columns) ||
(chop_info->y > (ssize_t) image->rows))
ThrowImageException(OptionWarning,"GeometryDoesNotContainImage");
extent=(*chop_info);
if ((extent.x+(ssize_t) extent.width) > (ssize_t) image->columns)
extent.width=(size_t) ((ssize_t) image->columns-extent.x);
if ((extent.y+(ssize_t) extent.height) > (ssize_t) image->rows)
extent.height=(size_t) ((ssize_t) image->rows-extent.y);
if (extent.x < 0)
{
extent.width-=(size_t) (-extent.x);
extent.x=0;
}
if (extent.y < 0)
{
extent.height-=(size_t) (-extent.y);
extent.y=0;
}
chop_image=CloneImage(image,image->columns-extent.width,image->rows-
extent.height,MagickTrue,exception);
if (chop_image == (Image *) NULL)
return((Image *) NULL);
/*
Extract chop image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
chop_view=AcquireAuthenticCacheView(chop_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,chop_image,extent.y,1)
#endif
for (y=0; y < (ssize_t) extent.y; y++)
{
const Quantum
*magick_restrict p;
ssize_t
x;
Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(chop_view,0,y,chop_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((x < extent.x) || (x >= (ssize_t) (extent.x+extent.width)))
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait chop_traits=GetPixelChannelTraits(chop_image,channel);
if ((traits == UndefinedPixelTrait) ||
(chop_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(chop_image,channel,p[i],q);
}
q+=GetPixelChannels(chop_image);
}
p+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(chop_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,ChopImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
/*
Extract chop image.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,chop_image,image->rows-(extent.y+extent.height),1)
#endif
for (y=0; y < (ssize_t) (image->rows-(extent.y+extent.height)); y++)
{
const Quantum
*magick_restrict p;
ssize_t
x;
Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,extent.y+extent.height+y,
image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(chop_view,0,extent.y+y,chop_image->columns,
1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((x < extent.x) || (x >= (ssize_t) (extent.x+extent.width)))
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait chop_traits=GetPixelChannelTraits(chop_image,channel);
if ((traits == UndefinedPixelTrait) ||
(chop_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(chop_image,channel,p[i],q);
}
q+=GetPixelChannels(chop_image);
}
p+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(chop_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,ChopImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
chop_view=DestroyCacheView(chop_view);
image_view=DestroyCacheView(image_view);
chop_image->type=image->type;
if (status == MagickFalse)
chop_image=DestroyImage(chop_image);
return(chop_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C o n s o l i d a t e C M Y K I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConsolidateCMYKImage() consolidates separate C, M, Y, and K planes into a
% single image.
%
% The format of the ConsolidateCMYKImage method is:
%
% Image *ConsolidateCMYKImage(const 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 *ConsolidateCMYKImages(const Image *images,
ExceptionInfo *exception)
{
CacheView
*cmyk_view,
*image_view;
Image
*cmyk_image,
*cmyk_images;
ssize_t
j;
ssize_t
y;
/*
Consolidate separate C, M, Y, and K planes into a single image.
*/
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
cmyk_images=NewImageList();
for (j=0; j < (ssize_t) GetImageListLength(images); j+=4)
{
ssize_t
i;
assert(images != (Image *) NULL);
cmyk_image=CloneImage(images,0,0,MagickTrue,
exception);
if (cmyk_image == (Image *) NULL)
break;
if (SetImageStorageClass(cmyk_image,DirectClass,exception) == MagickFalse)
break;
(void) SetImageColorspace(cmyk_image,CMYKColorspace,exception);
for (i=0; i < 4; i++)
{
image_view=AcquireVirtualCacheView(images,exception);
cmyk_view=AcquireAuthenticCacheView(cmyk_image,exception);
for (y=0; y < (ssize_t) images->rows; y++)
{
const Quantum
*magick_restrict p;
ssize_t
x;
Quantum
*magick_restrict q;
p=GetCacheViewVirtualPixels(image_view,0,y,images->columns,1,exception);
q=QueueCacheViewAuthenticPixels(cmyk_view,0,y,cmyk_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
break;
for (x=0; x < (ssize_t) images->columns; x++)
{
Quantum
pixel;
pixel=ClampToQuantum(QuantumRange-GetPixelIntensity(images,p));
switch (i)
{
case 0: SetPixelCyan(cmyk_image,pixel,q); break;
case 1: SetPixelMagenta(cmyk_image,pixel,q); break;
case 2: SetPixelYellow(cmyk_image,pixel,q); break;
case 3: SetPixelBlack(cmyk_image,pixel,q); break;
default: break;
}
p+=GetPixelChannels(images);
q+=GetPixelChannels(cmyk_image);
}
if (SyncCacheViewAuthenticPixels(cmyk_view,exception) == MagickFalse)
break;
}
cmyk_view=DestroyCacheView(cmyk_view);
image_view=DestroyCacheView(image_view);
images=GetNextImageInList(images);
if (images == (Image *) NULL)
break;
}
AppendImageToList(&cmyk_images,cmyk_image);
}
return(cmyk_images);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C r o p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CropImage() extracts a region of the image starting at the offset defined
% by geometry. Region must be fully defined, and no special handling of
% geometry flags is performed.
%
% The format of the CropImage method is:
%
% Image *CropImage(const 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 Image *CropImage(const Image *image,const RectangleInfo *geometry,
ExceptionInfo *exception)
{
#define CropImageTag "Crop/Image"
CacheView
*crop_view,
*image_view;
Image
*crop_image;
MagickBooleanType
status;
MagickOffsetType
progress;
OffsetInfo
offset;
RectangleInfo
bounding_box,
page;
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);
bounding_box=image->page;
if ((bounding_box.width == 0) || (bounding_box.height == 0))
{
bounding_box.width=image->columns;
bounding_box.height=image->rows;
}
page=(*geometry);
if (page.width == 0)
page.width=bounding_box.width;
if (page.height == 0)
page.height=bounding_box.height;
if (((bounding_box.x-page.x) >= (ssize_t) page.width) ||
((bounding_box.y-page.y) >= (ssize_t) page.height) ||
((page.x-bounding_box.x) > (ssize_t) image->columns) ||
((page.y-bounding_box.y) > (ssize_t) image->rows))
{
/*
Crop is not within virtual canvas, return 1 pixel transparent image.
*/
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
crop_image=CloneImage(image,1,1,MagickTrue,exception);
if (crop_image == (Image *) NULL)
return((Image *) NULL);
crop_image->background_color.alpha_trait=BlendPixelTrait;
crop_image->background_color.alpha=(MagickRealType) TransparentAlpha;
(void) SetImageBackgroundColor(crop_image,exception);
crop_image->page=bounding_box;
crop_image->page.x=(-1);
crop_image->page.y=(-1);
if (crop_image->dispose == BackgroundDispose)
crop_image->dispose=NoneDispose;
return(crop_image);
}
if ((page.x < 0) && (bounding_box.x >= 0))
{
page.width+=page.x-bounding_box.x;
page.x=0;
}
else
{
page.width-=bounding_box.x-page.x;
page.x-=bounding_box.x;
if (page.x < 0)
page.x=0;
}
if ((page.y < 0) && (bounding_box.y >= 0))
{
page.height+=page.y-bounding_box.y;
page.y=0;
}
else
{
page.height-=bounding_box.y-page.y;
page.y-=bounding_box.y;
if (page.y < 0)
page.y=0;
}
if ((page.x+(ssize_t) page.width) > (ssize_t) image->columns)
page.width=image->columns-page.x;
if ((geometry->width != 0) && (page.width > geometry->width))
page.width=geometry->width;
if ((page.y+(ssize_t) page.height) > (ssize_t) image->rows)
page.height=image->rows-page.y;
if ((geometry->height != 0) && (page.height > geometry->height))
page.height=geometry->height;
bounding_box.x+=page.x;
bounding_box.y+=page.y;
if ((page.width == 0) || (page.height == 0))
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
return((Image *) NULL);
}
/*
Initialize crop image attributes.
*/
crop_image=CloneImage(image,page.width,page.height,MagickTrue,exception);
if (crop_image == (Image *) NULL)
return((Image *) NULL);
crop_image->page.width=image->page.width;
crop_image->page.height=image->page.height;
offset.x=(ssize_t) (bounding_box.x+bounding_box.width);
offset.y=(ssize_t) (bounding_box.y+bounding_box.height);
if ((offset.x > (ssize_t) image->page.width) ||
(offset.y > (ssize_t) image->page.height))
{
crop_image->page.width=bounding_box.width;
crop_image->page.height=bounding_box.height;
}
crop_image->page.x=bounding_box.x;
crop_image->page.y=bounding_box.y;
/*
Crop image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
crop_view=AcquireAuthenticCacheView(crop_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,crop_image,crop_image->rows,1)
#endif
for (y=0; y < (ssize_t) crop_image->rows; y++)
{
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,page.x,page.y+y,crop_image->columns,
1,exception);
q=QueueCacheViewAuthenticPixels(crop_view,0,y,crop_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) crop_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait crop_traits=GetPixelChannelTraits(crop_image,channel);
if ((traits == UndefinedPixelTrait) ||
(crop_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(crop_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(crop_image);
}
if (SyncCacheViewAuthenticPixels(crop_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,CropImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
crop_view=DestroyCacheView(crop_view);
image_view=DestroyCacheView(image_view);
crop_image->type=image->type;
if (status == MagickFalse)
crop_image=DestroyImage(crop_image);
return(crop_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C r o p I m a g e T o T i l e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CropImageToTiles() crops a single image, into a possible list of tiles.
% This may include a single sub-region of the image. This basically applies
% all the normal geometry flags for Crop.
%
% Image *CropImageToTiles(const Image *image,
% const RectangleInfo *crop_geometry, ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image The transformed image is returned as this parameter.
%
% o crop_geometry: A crop geometry string.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline ssize_t PixelRoundOffset(double x)
{
/*
Round the fraction to nearest integer.
*/
if ((x-floor(x)) < (ceil(x)-x))
return(CastDoubleToLong(floor(x)));
return(CastDoubleToLong(ceil(x)));
}
MagickExport Image *CropImageToTiles(const Image *image,
const char *crop_geometry,ExceptionInfo *exception)
{
Image
*next,
*crop_image;
MagickStatusType
flags;
RectangleInfo
geometry;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
flags=ParseGravityGeometry(image,crop_geometry,&geometry,exception);
if ((flags & AreaValue) != 0)
{
PointInfo
delta,
offset;
RectangleInfo
crop;
size_t
height,
width;
/*
Crop into NxM tiles (@ flag).
*/
crop_image=NewImageList();
width=image->columns;
height=image->rows;
if (geometry.width == 0)
geometry.width=1;
if (geometry.height == 0)
geometry.height=1;
if ((flags & AspectValue) == 0)
{
width-=(geometry.x < 0 ? -1 : 1)*geometry.x;
height-=(geometry.y < 0 ? -1 : 1)*geometry.y;
}
else
{
width+=(geometry.x < 0 ? -1 : 1)*geometry.x;
height+=(geometry.y < 0 ? -1 : 1)*geometry.y;
}
delta.x=(double) width/geometry.width;
delta.y=(double) height/geometry.height;
if (delta.x < 1.0)
delta.x=1.0;
if (delta.y < 1.0)
delta.y=1.0;
for (offset.y=0; offset.y < (double) height; )
{
if ((flags & AspectValue) == 0)
{
crop.y=PixelRoundOffset((double) (offset.y-
(geometry.y > 0 ? 0 : geometry.y)));
offset.y+=delta.y; /* increment now to find width */
crop.height=(size_t) PixelRoundOffset((double) (offset.y+
(geometry.y < 0 ? 0 : geometry.y)));
}
else
{
crop.y=PixelRoundOffset((double) (offset.y-
(geometry.y > 0 ? geometry.y : 0)));
offset.y+=delta.y; /* increment now to find width */
crop.height=(size_t) PixelRoundOffset((double)
(offset.y+(geometry.y < -1 ? geometry.y : 0)));
}
crop.height-=crop.y;
crop.y+=image->page.y;
for (offset.x=0; offset.x < (double) width; )
{
if ((flags & AspectValue) == 0)
{
crop.x=PixelRoundOffset((double) (offset.x-
(geometry.x > 0 ? 0 : geometry.x)));
offset.x+=delta.x; /* increment now to find height */
crop.width=(size_t) PixelRoundOffset((double) (offset.x+
(geometry.x < 0 ? 0 : geometry.x)));
}
else
{
crop.x=PixelRoundOffset((double) (offset.x-
(geometry.x > 0 ? geometry.x : 0)));
offset.x+=delta.x; /* increment now to find height */
crop.width=(size_t) PixelRoundOffset((double) (offset.x+
(geometry.x < 0 ? geometry.x : 0)));
}
crop.width-=crop.x;
crop.x+=image->page.x;
next=CropImage(image,&crop,exception);
if (next != (Image *) NULL)
AppendImageToList(&crop_image,next);
}
}
ClearMagickException(exception);
return(crop_image);
}
if (((geometry.width == 0) && (geometry.height == 0)) ||
((flags & XValue) != 0) || ((flags & YValue) != 0))
{
/*
Crop a single region at +X+Y.
*/
crop_image=CropImage(image,&geometry,exception);
if ((crop_image != (Image *) NULL) && ((flags & AspectValue) != 0))
{
crop_image->page.width=geometry.width;
crop_image->page.height=geometry.height;
crop_image->page.x-=geometry.x;
crop_image->page.y-=geometry.y;
}
return(crop_image);
}
if ((image->columns > geometry.width) || (image->rows > geometry.height))
{
RectangleInfo
page;
size_t
height,
width;
ssize_t
x,
y;
/*
Crop into tiles of fixed size WxH.
*/
page=image->page;
if (page.width == 0)
page.width=image->columns;
if (page.height == 0)
page.height=image->rows;
width=geometry.width;
if (width == 0)
width=page.width;
height=geometry.height;
if (height == 0)
height=page.height;
next=(Image *) NULL;
crop_image=NewImageList();
for (y=0; y < (ssize_t) page.height; y+=(ssize_t) height)
{
for (x=0; x < (ssize_t) page.width; x+=(ssize_t) width)
{
geometry.width=width;
geometry.height=height;
geometry.x=x;
geometry.y=y;
next=CropImage(image,&geometry,exception);
if (next == (Image *) NULL)
break;
AppendImageToList(&crop_image,next);
}
if (next == (Image *) NULL)
break;
}
return(crop_image);
}
return(CloneImage(image,0,0,MagickTrue,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E x c e r p t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ExcerptImage() returns a excerpt of the image as defined by the geometry.
%
% The format of the ExcerptImage method is:
%
% Image *ExcerptImage(const 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 extend with members
% x, y, width, and height.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ExcerptImage(const Image *image,
const RectangleInfo *geometry,ExceptionInfo *exception)
{
#define ExcerptImageTag "Excerpt/Image"
CacheView
*excerpt_view,
*image_view;
Image
*excerpt_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Allocate excerpt image.
*/
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);
excerpt_image=CloneImage(image,geometry->width,geometry->height,MagickTrue,
exception);
if (excerpt_image == (Image *) NULL)
return((Image *) NULL);
/*
Excerpt each row.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
excerpt_view=AcquireAuthenticCacheView(excerpt_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,excerpt_image,excerpt_image->rows,1)
#endif
for (y=0; y < (ssize_t) excerpt_image->rows; y++)
{
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,geometry->x,geometry->y+y,
geometry->width,1,exception);
q=GetCacheViewAuthenticPixels(excerpt_view,0,y,excerpt_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) excerpt_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait excerpt_traits=GetPixelChannelTraits(excerpt_image,channel);
if ((traits == UndefinedPixelTrait) ||
(excerpt_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(excerpt_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(excerpt_image);
}
if (SyncCacheViewAuthenticPixels(excerpt_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,ExcerptImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
excerpt_view=DestroyCacheView(excerpt_view);
image_view=DestroyCacheView(image_view);
excerpt_image->type=image->type;
if (status == MagickFalse)
excerpt_image=DestroyImage(excerpt_image);
return(excerpt_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E x t e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ExtentImage() extends the image as defined by the geometry, gravity, and
% image background color. Set the (x,y) offset of the geometry to move the
% original image relative to the extended image.
%
% The format of the ExtentImage method is:
%
% Image *ExtentImage(const 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 extend with members
% x, y, width, and height.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ExtentImage(const Image *image,
const RectangleInfo *geometry,ExceptionInfo *exception)
{
Image
*extent_image;
MagickBooleanType
status;
/*
Allocate extent image.
*/
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);
extent_image=CloneImage(image,geometry->width,geometry->height,MagickTrue,
exception);
if (extent_image == (Image *) NULL)
return((Image *) NULL);
status=SetImageBackgroundColor(extent_image,exception);
if (status == MagickFalse)
{
extent_image=DestroyImage(extent_image);
return((Image *) NULL);
}
status=CompositeImage(extent_image,image,image->compose,MagickTrue,
-geometry->x,-geometry->y,exception);
if (status != MagickFalse)
Update8BIMClipPath(extent_image,image->columns,image->rows,geometry);
return(extent_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F l i p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FlipImage() creates a vertical mirror image by reflecting the pixels
% around the central x-axis.
%
% The format of the FlipImage method is:
%
% Image *FlipImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *FlipImage(const Image *image,ExceptionInfo *exception)
{
#define FlipImageTag "Flip/Image"
CacheView
*flip_view,
*image_view;
Image
*flip_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
page;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
flip_image=CloneImage(image,0,0,MagickTrue,exception);
if (flip_image == (Image *) NULL)
return((Image *) NULL);
/*
Flip image.
*/
status=MagickTrue;
progress=0;
page=image->page;
image_view=AcquireVirtualCacheView(image,exception);
flip_view=AcquireAuthenticCacheView(flip_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,flip_image,flip_image->rows,1)
#endif
for (y=0; y < (ssize_t) flip_image->rows; y++)
{
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(flip_view,0,(ssize_t) (flip_image->rows-y-
1),flip_image->columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) flip_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait flip_traits=GetPixelChannelTraits(flip_image,channel);
if ((traits == UndefinedPixelTrait) ||
(flip_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(flip_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(flip_image);
}
if (SyncCacheViewAuthenticPixels(flip_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,FlipImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
flip_view=DestroyCacheView(flip_view);
image_view=DestroyCacheView(image_view);
flip_image->type=image->type;
if (page.height != 0)
page.y=(ssize_t) (page.height-flip_image->rows-page.y);
flip_image->page=page;
if (status == MagickFalse)
flip_image=DestroyImage(flip_image);
return(flip_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F l o p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FlopImage() creates a horizontal mirror image by reflecting the pixels
% around the central y-axis.
%
% The format of the FlopImage method is:
%
% Image *FlopImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *FlopImage(const Image *image,ExceptionInfo *exception)
{
#define FlopImageTag "Flop/Image"
CacheView
*flop_view,
*image_view;
Image
*flop_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
page;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
flop_image=CloneImage(image,0,0,MagickTrue,exception);
if (flop_image == (Image *) NULL)
return((Image *) NULL);
/*
Flop each row.
*/
status=MagickTrue;
progress=0;
page=image->page;
image_view=AcquireVirtualCacheView(image,exception);
flop_view=AcquireAuthenticCacheView(flop_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(image,flop_image,flop_image->rows,1)
#endif
for (y=0; y < (ssize_t) flop_image->rows; y++)
{
const Quantum
*magick_restrict p;
ssize_t
x;
Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(flop_view,0,y,flop_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
q+=GetPixelChannels(flop_image)*flop_image->columns;
for (x=0; x < (ssize_t) flop_image->columns; x++)
{
ssize_t
i;
q-=GetPixelChannels(flop_image);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait flop_traits=GetPixelChannelTraits(flop_image,channel);
if ((traits == UndefinedPixelTrait) ||
(flop_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(flop_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(flop_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,FlopImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
flop_view=DestroyCacheView(flop_view);
image_view=DestroyCacheView(image_view);
flop_image->type=image->type;
if (page.width != 0)
page.x=(ssize_t) (page.width-flop_image->columns-page.x);
flop_image->page=page;
if (status == MagickFalse)
flop_image=DestroyImage(flop_image);
return(flop_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R o l l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RollImage() offsets an image as defined by x_offset and y_offset.
%
% The format of the RollImage method is:
%
% Image *RollImage(const Image *image,const ssize_t x_offset,
% const ssize_t y_offset,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x_offset: the number of columns to roll in the horizontal direction.
%
% o y_offset: the number of rows to roll in the vertical direction.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType CopyImageRegion(Image *destination,const Image *source, const size_t columns,const size_t rows,const ssize_t sx,const ssize_t sy,
const ssize_t dx,const ssize_t dy,ExceptionInfo *exception)
{
CacheView
*source_view,
*destination_view;
MagickBooleanType
status;
ssize_t
y;
if (columns == 0)
return(MagickTrue);
status=MagickTrue;
source_view=AcquireVirtualCacheView(source,exception);
destination_view=AcquireAuthenticCacheView(destination,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(source,destination,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
MagickBooleanType
sync;
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
/*
Transfer scanline.
*/
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(source_view,sx,sy+y,columns,1,exception);
q=GetCacheViewAuthenticPixels(destination_view,dx,dy+y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(source); i++)
{
PixelChannel channel = GetPixelChannelChannel(source,i);
PixelTrait source_traits=GetPixelChannelTraits(source,channel);
PixelTrait destination_traits=GetPixelChannelTraits(destination,
channel);
if ((source_traits == UndefinedPixelTrait) ||
(destination_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(destination,channel,p[i],q);
}
p+=GetPixelChannels(source);
q+=GetPixelChannels(destination);
}
sync=SyncCacheViewAuthenticPixels(destination_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
destination_view=DestroyCacheView(destination_view);
source_view=DestroyCacheView(source_view);
return(status);
}
MagickExport Image *RollImage(const Image *image,const ssize_t x_offset,
const ssize_t y_offset,ExceptionInfo *exception)
{
#define RollImageTag "Roll/Image"
Image
*roll_image;
MagickStatusType
status;
RectangleInfo
offset;
/*
Initialize roll image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
roll_image=CloneImage(image,0,0,MagickTrue,exception);
if (roll_image == (Image *) NULL)
return((Image *) NULL);
offset.x=x_offset;
offset.y=y_offset;
while (offset.x < 0)
offset.x+=(ssize_t) image->columns;
while (offset.x >= (ssize_t) image->columns)
offset.x-=(ssize_t) image->columns;
while (offset.y < 0)
offset.y+=(ssize_t) image->rows;
while (offset.y >= (ssize_t) image->rows)
offset.y-=(ssize_t) image->rows;
/*
Roll image.
*/
status=CopyImageRegion(roll_image,image,(size_t) offset.x,
(size_t) offset.y,(ssize_t) image->columns-offset.x,(ssize_t) image->rows-
offset.y,0,0,exception);
(void) SetImageProgress(image,RollImageTag,0,3);
status&=CopyImageRegion(roll_image,image,image->columns-offset.x,
(size_t) offset.y,0,(ssize_t) image->rows-offset.y,offset.x,0,
exception);
(void) SetImageProgress(image,RollImageTag,1,3);
status&=CopyImageRegion(roll_image,image,(size_t) offset.x,image->rows-
offset.y,(ssize_t) image->columns-offset.x,0,0,offset.y,exception);
(void) SetImageProgress(image,RollImageTag,2,3);
status&=CopyImageRegion(roll_image,image,image->columns-offset.x,image->rows-
offset.y,0,0,offset.x,offset.y,exception);
(void) SetImageProgress(image,RollImageTag,3,3);
roll_image->type=image->type;
if (status == MagickFalse)
roll_image=DestroyImage(roll_image);
return(roll_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h a v e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ShaveImage() shaves pixels from the image edges. It allocates the memory
% necessary for the new Image structure and returns a pointer to the new
% image.
%
% The format of the ShaveImage method is:
%
% Image *ShaveImage(const Image *image,const RectangleInfo *shave_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o shave_image: Method ShaveImage returns a pointer to the shaved
% image. A null image is returned if there is a memory shortage or
% if the image width or height is zero.
%
% o image: the image.
%
% o shave_info: Specifies a pointer to a RectangleInfo which defines the
% region of the image to crop.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ShaveImage(const Image *image,
const RectangleInfo *shave_info,ExceptionInfo *exception)
{
Image
*shave_image;
RectangleInfo
geometry;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (((2*shave_info->width) >= image->columns) ||
((2*shave_info->height) >= image->rows))
ThrowImageException(OptionWarning,"GeometryDoesNotContainImage");
SetGeometry(image,&geometry);
geometry.width-=2*shave_info->width;
geometry.height-=2*shave_info->height;
geometry.x=(ssize_t) shave_info->width+image->page.x;
geometry.y=(ssize_t) shave_info->height+image->page.y;
shave_image=CropImage(image,&geometry,exception);
if (shave_image == (Image *) NULL)
return((Image *) NULL);
shave_image->page.width-=2*shave_info->width;
shave_image->page.height-=2*shave_info->height;
shave_image->page.x-=(ssize_t) shave_info->width;
shave_image->page.y-=(ssize_t) shave_info->height;
return(shave_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S p l i c e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SpliceImage() splices a solid color into the image as defined by the
% geometry.
%
% The format of the SpliceImage method is:
%
% Image *SpliceImage(const 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 splice with members
% x, y, width, and height.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SpliceImage(const Image *image,
const RectangleInfo *geometry,ExceptionInfo *exception)
{
#define SpliceImageTag "Splice/Image"
CacheView
*image_view,
*splice_view;
Image
*splice_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
splice_geometry;
ssize_t
columns,
y;
/*
Allocate splice image.
*/
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);
splice_geometry=(*geometry);
splice_image=CloneImage(image,image->columns+splice_geometry.width,
image->rows+splice_geometry.height,MagickTrue,exception);
if (splice_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(splice_image,DirectClass,exception) == MagickFalse)
{
splice_image=DestroyImage(splice_image);
return((Image *) NULL);
}
if ((IsPixelInfoGray(&splice_image->background_color) == MagickFalse) &&
(IsGrayColorspace(splice_image->colorspace) != MagickFalse))
(void) SetImageColorspace(splice_image,sRGBColorspace,exception);
if ((splice_image->background_color.alpha_trait != UndefinedPixelTrait) &&
(splice_image->alpha_trait == UndefinedPixelTrait))
(void) SetImageAlpha(splice_image,OpaqueAlpha,exception);
(void) SetImageBackgroundColor(splice_image,exception);
/*
Respect image geometry.
*/
switch (image->gravity)
{
default:
case UndefinedGravity:
case NorthWestGravity:
break;
case NorthGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width/2;
break;
}
case NorthEastGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width;
break;
}
case WestGravity:
{
splice_geometry.y+=(ssize_t) splice_geometry.width/2;
break;
}
case CenterGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width/2;
splice_geometry.y+=(ssize_t) splice_geometry.height/2;
break;
}
case EastGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width;
splice_geometry.y+=(ssize_t) splice_geometry.height/2;
break;
}
case SouthWestGravity:
{
splice_geometry.y+=(ssize_t) splice_geometry.height;
break;
}
case SouthGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width/2;
splice_geometry.y+=(ssize_t) splice_geometry.height;
break;
}
case SouthEastGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width;
splice_geometry.y+=(ssize_t) splice_geometry.height;
break;
}
}
/*
Splice image.
*/
status=MagickTrue;
progress=0;
columns=MagickMin(splice_geometry.x,(ssize_t) splice_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
splice_view=AcquireAuthenticCacheView(splice_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,splice_image,splice_geometry.y,1)
#endif
for (y=0; y < (ssize_t) splice_geometry.y; y++)
{
const Quantum
*magick_restrict p;
ssize_t
x;
Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,splice_image->columns,1,
exception);
q=QueueCacheViewAuthenticPixels(splice_view,0,y,splice_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait splice_traits=GetPixelChannelTraits(splice_image,channel);
if ((traits == UndefinedPixelTrait) ||
(splice_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(splice_image,channel,p[i],q);
}
SetPixelRed(splice_image,GetPixelRed(image,p),q);
SetPixelGreen(splice_image,GetPixelGreen(image,p),q);
SetPixelBlue(splice_image,GetPixelBlue(image,p),q);
SetPixelAlpha(splice_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
}
for ( ; x < (ssize_t) (splice_geometry.x+splice_geometry.width); x++)
q+=GetPixelChannels(splice_image);
for ( ; x < (ssize_t) splice_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait splice_traits=GetPixelChannelTraits(splice_image,channel);
if ((traits == UndefinedPixelTrait) ||
(splice_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(splice_image,channel,p[i],q);
}
SetPixelRed(splice_image,GetPixelRed(image,p),q);
SetPixelGreen(splice_image,GetPixelGreen(image,p),q);
SetPixelBlue(splice_image,GetPixelBlue(image,p),q);
SetPixelAlpha(splice_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
}
if (SyncCacheViewAuthenticPixels(splice_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,SpliceImageTag,progress,
splice_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,splice_image,splice_image->rows,2)
#endif
for (y=(ssize_t) (splice_geometry.y+splice_geometry.height);
y < (ssize_t) splice_image->rows; y++)
{
const Quantum
*magick_restrict p;
ssize_t
x;
Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
if ((y < 0) || (y >= (ssize_t)splice_image->rows))
continue;
p=GetCacheViewVirtualPixels(image_view,0,y-(ssize_t) splice_geometry.height,
splice_image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(splice_view,0,y,splice_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait splice_traits=GetPixelChannelTraits(splice_image,channel);
if ((traits == UndefinedPixelTrait) ||
(splice_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(splice_image,channel,p[i],q);
}
SetPixelRed(splice_image,GetPixelRed(image,p),q);
SetPixelGreen(splice_image,GetPixelGreen(image,p),q);
SetPixelBlue(splice_image,GetPixelBlue(image,p),q);
SetPixelAlpha(splice_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
}
for ( ; x < (ssize_t) (splice_geometry.x+splice_geometry.width); x++)
q+=GetPixelChannels(splice_image);
for ( ; x < (ssize_t) splice_image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait splice_traits=GetPixelChannelTraits(splice_image,channel);
if ((traits == UndefinedPixelTrait) ||
(splice_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(splice_image,channel,p[i],q);
}
SetPixelRed(splice_image,GetPixelRed(image,p),q);
SetPixelGreen(splice_image,GetPixelGreen(image,p),q);
SetPixelBlue(splice_image,GetPixelBlue(image,p),q);
SetPixelAlpha(splice_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
}
if (SyncCacheViewAuthenticPixels(splice_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,SpliceImageTag,progress,
splice_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
splice_view=DestroyCacheView(splice_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
splice_image=DestroyImage(splice_image);
return(splice_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s f o r m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransformImage() is a convenience method that behaves like ResizeImage() or
% CropImage() but accepts scaling and/or cropping information as a region
% geometry specification. If the operation fails, the original image handle
% is left as is.
%
% This should only be used for single images.
%
% This function destroys what it assumes to be a single image list.
% If the input image is part of a larger list, all other images in that list
% will be simply 'lost', not destroyed.
%
% Also if the crop generates a list of images only the first image is resized.
% And finally if the crop succeeds and the resize failed, you will get a
% cropped image, as well as a 'false' or 'failed' report.
%
% This function and should probably be deprecated in favor of direct calls
% to CropImageToTiles() or ResizeImage(), as appropriate.
%
% The format of the TransformImage method is:
%
% MagickBooleanType TransformImage(Image **image,const char *crop_geometry,
% const char *image_geometry,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image The transformed image is returned as this parameter.
%
% o crop_geometry: A crop geometry string. This geometry defines a
% subregion of the image to crop.
%
% o image_geometry: An image geometry string. This geometry defines the
% final size of the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate MagickBooleanType TransformImage(Image **image,
const char *crop_geometry,const char *image_geometry,ExceptionInfo *exception)
{
Image
*resize_image,
*transform_image;
RectangleInfo
geometry;
assert(image != (Image **) NULL);
assert((*image)->signature == MagickCoreSignature);
if ((*image)->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",(*image)->filename);
transform_image=(*image);
if (crop_geometry != (const char *) NULL)
{
Image
*crop_image;
/*
Crop image to a user specified size.
*/
crop_image=CropImageToTiles(*image,crop_geometry,exception);
if (crop_image == (Image *) NULL)
transform_image=CloneImage(*image,0,0,MagickTrue,exception);
else
{
transform_image=DestroyImage(transform_image);
transform_image=GetFirstImageInList(crop_image);
}
*image=transform_image;
}
if (image_geometry == (const char *) NULL)
return(MagickTrue);
/*
Scale image to a user specified size.
*/
(void) ParseRegionGeometry(transform_image,image_geometry,&geometry,
exception);
if ((transform_image->columns == geometry.width) &&
(transform_image->rows == geometry.height))
return(MagickTrue);
resize_image=ResizeImage(transform_image,geometry.width,geometry.height,
transform_image->filter,exception);
if (resize_image == (Image *) NULL)
return(MagickFalse);
transform_image=DestroyImage(transform_image);
transform_image=resize_image;
*image=transform_image;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s p o s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransposeImage() creates a horizontal mirror image by reflecting the pixels
% around the central y-axis while rotating them by 90 degrees.
%
% The format of the TransposeImage method is:
%
% Image *TransposeImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *TransposeImage(const Image *image,ExceptionInfo *exception)
{
#define TransposeImageTag "Transpose/Image"
CacheView
*image_view,
*transpose_view;
Image
*transpose_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
page;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
transpose_image=CloneImage(image,image->rows,image->columns,MagickTrue,
exception);
if (transpose_image == (Image *) NULL)
return((Image *) NULL);
/*
Transpose image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
transpose_view=AcquireAuthenticCacheView(transpose_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,transpose_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,(ssize_t) image->rows-y-1,
image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(transpose_view,(ssize_t) (image->rows-y-1),
0,1,transpose_image->rows,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait transpose_traits=GetPixelChannelTraits(transpose_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(transpose_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(transpose_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(transpose_image);
}
if (SyncCacheViewAuthenticPixels(transpose_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,TransposeImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
transpose_view=DestroyCacheView(transpose_view);
image_view=DestroyCacheView(image_view);
transpose_image->type=image->type;
page=transpose_image->page;
Swap(page.width,page.height);
Swap(page.x,page.y);
transpose_image->page=page;
if (status == MagickFalse)
transpose_image=DestroyImage(transpose_image);
return(transpose_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s v e r s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransverseImage() creates a vertical mirror image by reflecting the pixels
% around the central x-axis while rotating them by 270 degrees.
%
% The format of the TransverseImage method is:
%
% Image *TransverseImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *TransverseImage(const Image *image,ExceptionInfo *exception)
{
#define TransverseImageTag "Transverse/Image"
CacheView
*image_view,
*transverse_view;
Image
*transverse_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
page;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
transverse_image=CloneImage(image,image->rows,image->columns,MagickTrue,
exception);
if (transverse_image == (Image *) NULL)
return((Image *) NULL);
/*
Transverse image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
transverse_view=AcquireAuthenticCacheView(transverse_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(image,transverse_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
const Quantum
*magick_restrict p;
Quantum
*magick_restrict q;
ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(transverse_view,(ssize_t) (image->rows-y-1),
0,1,transverse_image->rows,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
q+=GetPixelChannels(transverse_image)*image->columns;
for (x=0; x < (ssize_t) image->columns; x++)
{
ssize_t
i;
q-=GetPixelChannels(transverse_image);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel = GetPixelChannelChannel(image,i);
PixelTrait traits = GetPixelChannelTraits(image,channel);
PixelTrait transverse_traits=GetPixelChannelTraits(transverse_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(transverse_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(transverse_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
}
sync=SyncCacheViewAuthenticPixels(transverse_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp atomic
#endif
progress++;
proceed=SetImageProgress(image,TransverseImageTag,progress,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
transverse_view=DestroyCacheView(transverse_view);
image_view=DestroyCacheView(image_view);
transverse_image->type=image->type;
page=transverse_image->page;
Swap(page.width,page.height);
Swap(page.x,page.y);
if (page.width != 0)
page.x=(ssize_t) (page.width-transverse_image->columns-page.x);
if (page.height != 0)
page.y=(ssize_t) (page.height-transverse_image->rows-page.y);
transverse_image->page=page;
if (status == MagickFalse)
transverse_image=DestroyImage(transverse_image);
return(transverse_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r i m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TrimImage() trims pixels from the image edges. It allocates the memory
% necessary for the new Image structure and returns a pointer to the new
% image.
%
% The format of the TrimImage method is:
%
% Image *TrimImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *TrimImage(const Image *image,ExceptionInfo *exception)
{
Image
*trim_image;
RectangleInfo
geometry;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
geometry=GetImageBoundingBox(image,exception);
if ((geometry.width == 0) || (geometry.height == 0))
{
Image
*crop_image;
crop_image=CloneImage(image,1,1,MagickTrue,exception);
if (crop_image == (Image *) NULL)
return((Image *) NULL);
crop_image->background_color.alpha_trait=BlendPixelTrait;
crop_image->background_color.alpha=(MagickRealType) TransparentAlpha;
(void) SetImageBackgroundColor(crop_image,exception);
crop_image->page=image->page;
crop_image->page.x=(-1);
crop_image->page.y=(-1);
return(crop_image);
}
geometry.x+=image->page.x;
geometry.y+=image->page.y;
trim_image=CropImage(image,&geometry,exception);
if (trim_image != (Image *) NULL)
Update8BIMClipPath(trim_image,image->columns,image->rows,&geometry);
return(trim_image);
}
|
cpu.c | /*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* License); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*
* Parts of the following code in this file refs to
* https://github.com/Tencent/ncnn/blob/master/src/cpu.cpp
* Tencent is pleased to support the open source community by making ncnn
* available.
*
* Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
*
* Licensed under the BSD 3-Clause License (the "License"); you may not use this
* file except in compliance with the License. You may obtain a copy of the
* License at
*
* https://opensource.org/licenses/BSD-3-Clause
*/
/*
* Copyright (c) 2020, OPEN AI LAB
* Author: lswang@openailab.com
*/
#include "cpu.h"
#include <stdio.h>
#include <string.h>
#include <limits.h>
#include "tengine_c_api.h"
#ifndef _MSC_VER
#include <pthread.h>
#include <sys/syscall.h>
#include <sched.h>
#include <unistd.h>
#include <stdint.h>
#endif
#if __APPLE__
#include "TargetConditionals.h"
#if TARGET_OS_IPHONE
#include <sys/types.h>
#include <sys/sysctl.h>
#include <mach/machine.h>
#define __APPLE_IOS__ 1
#endif
#endif
#ifdef _OPENMP
#include <omp.h>
#endif
static size_t core_count = 0;
static size_t affinity_mask_all_cluster = 0;
static size_t affinity_mask_big_cluster = 0;
static size_t affinity_mask_medium_cluster = 0;
static size_t affinity_mask_little_cluster = 0;
int init_cpu_count()
{
if (0 < core_count)
return core_count;
#ifdef __ANDROID__
{
FILE* cpu_info = fopen("/proc/cpuinfo", "rb");
if (!cpu_info)
return -1;
char buffer[1024];
while (!feof(cpu_info))
{
char* s = fgets(buffer, 1024, cpu_info);
if (!s)
break;
if (memcmp(buffer, "processor", 9) == 0)
core_count++;
}
fclose(cpu_info);
};
#elif __APPLE_IOS__
{
size_t len = sizeof(core_count);
sysctlbyname("hw.ncpu", &core_count, &len, NULL, 0);
};
#else
{
#ifdef _OPENMP
core_count = omp_get_max_threads();
#else
core_count = 1;
#endif
}
#endif
// check count range
if (core_count < 1)
core_count = 1;
// TODO: deal with this conditions
if (core_count > sizeof(size_t) * 8)
core_count = sizeof(size_t) * 8;
return core_count;
}
#ifndef _MSC_VER
static int get_max_freq_khz(int cpuid)
{
// first try, for all possible cpu
char path[256];
sprintf(path, "/sys/devices/system/cpu/cpufreq/stats/cpu%d/time_in_state", cpuid);
FILE* fp = fopen(path, "rb");
if (!fp)
{
// second try, for online cpu
sprintf(path, "/sys/devices/system/cpu/cpu%d/cpufreq/stats/time_in_state", cpuid);
fp = fopen(path, "rb");
if (fp)
{
int max_freq_khz = 0;
while (!feof(fp))
{
int freq_khz = 0;
int nscan = fscanf(fp, "%d %*d", &freq_khz);
if (nscan != 1)
break;
if (freq_khz > max_freq_khz)
max_freq_khz = freq_khz;
}
fclose(fp);
if (max_freq_khz != 0)
return max_freq_khz;
fp = NULL;
}
if (!fp)
{
// third try, for online cpu
sprintf(path, "/sys/devices/system/cpu/cpu%d/cpufreq/cpuinfo_max_freq", cpuid);
fp = fopen(path, "rb");
if (!fp)
return -1;
int max_freq_khz = -1;
int ret = fscanf(fp, "%d", &max_freq_khz);
fclose(fp);
if (max_freq_khz <=0 && EOF == ret)
return -1;
else
return max_freq_khz;
}
}
int max_freq_khz = 0;
while (!feof(fp))
{
int freq_khz = 0;
int nscan = fscanf(fp, "%d %*d", &freq_khz);
if (nscan != 1)
break;
if (freq_khz > max_freq_khz)
max_freq_khz = freq_khz;
}
fclose(fp);
return max_freq_khz;
}
static int set_sched_affinity(size_t thread_affinity_mask)
{
// cpu_set_t definition
// ref http://stackoverflow.com/questions/16319725/android-set-thread-affinity
#ifndef CPU_SETSIZE
#define CPU_SETSIZE 1024
#endif
#ifndef __NCPUBITS
#define __NCPUBITS (8 * sizeof (unsigned long))
#endif
typedef struct
{
unsigned long __bits[CPU_SETSIZE / __NCPUBITS];
} cpu_set_t;
#define CPU_SET(cpu, cpusetp) ((cpusetp)->__bits[(cpu) / __NCPUBITS] |= (1UL << ((cpu) % __NCPUBITS)))
#define CPU_ZERO(cpusetp) memset((cpusetp), 0, sizeof(cpu_set_t))
// set affinity for thread
#if (defined __GLIBC__) || (defined _OHOS_) || (defined V831)
pid_t pid = syscall(SYS_gettid);
#else
#ifdef PI3
pid_t pid = getpid();
#else
#ifdef MACOS
uint64_t tid64;
pthread_threadid_np(NULL, &tid64);
pid_t pid = (pid_t)tid64;
#else
pid_t pid = gettid();
#endif
#endif
#endif
cpu_set_t mask;
CPU_ZERO(&mask);
// for (int i = 0; i < ( int )sizeof(size_t) * 8; i++)
for (int i = 0; i < core_count; i++)
{
if (thread_affinity_mask & (1 << i))
CPU_SET(i, &mask);
}
#if MACOS
int syscallret = syscall(set_sched_affinity, pid, sizeof(mask), &mask);
#else
int syscallret = syscall(__NR_sched_setaffinity, pid, sizeof(mask), &mask);
#endif
if (syscallret)
{
fprintf(stderr, "syscall error %d\n", syscallret);
return -1;
}
return 0;
}
#endif
int init_cluster_mask()
{
if (0 != affinity_mask_all_cluster)
return 0;
// affinity_mask_all_cluster = ((size_t)(1) << core_count) - (size_t)(1);
affinity_mask_all_cluster = (size_t)(0) - (size_t)(1);
#ifndef _MSC_VER
int max_freq_min_val = INT_MAX;
int max_freq_max_val = 0;
// TODO: deal with very large count of cores
int max_freq_array[sizeof(size_t) * 8];
for (int i = 0; i < core_count; i++)
{
int max_freq_khz = get_max_freq_khz(i);
// fprintf(stderr, "cpu %d, max_freq_khz %d\n", i, max_freq_khz);
max_freq_array[i] = max_freq_khz;
if (max_freq_khz > max_freq_max_val)
max_freq_max_val = max_freq_khz;
if (max_freq_khz < max_freq_min_val)
max_freq_min_val = max_freq_khz;
}
if (max_freq_max_val == max_freq_min_val)
{
affinity_mask_big_cluster = affinity_mask_all_cluster;
affinity_mask_medium_cluster = 0;
affinity_mask_little_cluster = 0;
}
else
{
for (int i = 0; i < core_count; i++)
{
if (max_freq_array[i] == max_freq_max_val)
affinity_mask_big_cluster |= (1 << i);
else if (max_freq_array[i] == max_freq_min_val)
affinity_mask_little_cluster |= (1 << i);
else
affinity_mask_medium_cluster |= (1 << i);
}
}
#else
// TODO implement me for other platforms
affinity_mask_big_cluster = affinity_mask_all_cluster;
#endif
return 0;
}
int check_cpu()
{
init_cpu_count();
init_cluster_mask();
return 0;
}
int get_mask_count(size_t mask)
{
int count = 0;
for (int i = 0; i < core_count; i++)
if (mask & (1 << i))
count++;
return count;
}
int set_cpu_affine(size_t mask)
{
#if defined __ANDROID__ || defined __linux__
int count = get_mask_count(mask);
#ifdef _OPENMP
// set affinity for each thread
omp_set_num_threads(count);
int status[sizeof(size_t) * 8] = {0};
#pragma omp parallel for num_threads(count)
for (int i = 0; i < count; i++)
{
status[i] = set_sched_affinity(mask);
}
for (int i = 0; i < count; i++)
{
if (status[i] != 0)
return -1;
}
#else
int status = set_sched_affinity(mask);
if (0 != status)
return -1;
#endif
#elif __APPLE_IOS__ || _MSC_VER
// thread affinity not supported on ios
( void )mask;
return -1;
#else
int status = set_sched_affinity(mask);
if (0 != status)
return -1;
#endif
return 0;
}
size_t get_cluster_mask(int cluster)
{
switch (cluster)
{
case TENGINE_CLUSTER_BIG:
if (0 != affinity_mask_big_cluster)
return affinity_mask_big_cluster;
break;
case TENGINE_CLUSTER_MEDIUM:
if (0 != affinity_mask_medium_cluster)
return affinity_mask_medium_cluster;
break;
case TENGINE_CLUSTER_LITTLE:
if (0 != affinity_mask_little_cluster)
return affinity_mask_little_cluster;
break;
default:
break;
}
return affinity_mask_all_cluster;
}
|
bzlevd2.c | #include "laev2.h"
#include "wnrme.h"
#include "rnd.h"
#include "timer.h"
int main(int argc, char *argv[])
{
(void)set_cbwr();
if (4 != argc) {
(void)fprintf(stderr, "%s filename 2^{batch_size} #batches\n", *argv);
return EXIT_FAILURE;
}
const size_t n = ((size_t)1u << atoz(argv[2u]));
int th = 0;
#ifdef _OPENMP
th = omp_get_max_threads();
if (n % th) {
(void)fprintf(stderr, "batch_size has to be a multiple of %d.\n", th);
return EXIT_FAILURE;
}
#endif /* _OPENMP */
const size_t b = atoz(argv[3u]);
if (!b)
return EXIT_SUCCESS;
const size_t
nl = strlen(argv[1u]),
nl1 = (nl + 1u);
char *const fn = calloc((nl + 3u), sizeof(char));
assert(fn);
strcpy(fn, argv[1u])[nl] = '.';
int fm = O_RDONLY;
#ifdef _LARGEFILE64_SOURCE
fm |= O_LARGEFILE;
#endif /* _LARGEFILE64_SOURCE */
fn[nl1] = 'k';
const int fk = open(fn, fm);
if (-1 >= fk) {
(void)fprintf(stderr, "Cannot open %s for reading!\n", fn);
return EXIT_FAILURE;
}
fn[nl1] = 'l';
const int fl = open(fn, fm);
if (-1 >= fl) {
(void)fprintf(stderr, "Cannot open %s for reading!\n", fn);
return EXIT_FAILURE;
}
fn[nl1] = 'f';
const int ff = open(fn, fm);
if (-1 >= ff) {
(void)fprintf(stderr, "Cannot open %s for reading!\n", fn);
return EXIT_FAILURE;
}
fn[nl1] = 'g';
const int fg = open(fn, fm);
if (-1 >= fg) {
(void)fprintf(stderr, "Cannot open %s for reading!\n", fn);
return EXIT_FAILURE;
}
fn[nl1] = 'r';
const int fr = open(fn, fm);
if (-1 >= fr) {
(void)fprintf(stderr, "Cannot open %s for reading!\n", fn);
return EXIT_FAILURE;
}
fn[nl1] = 'j';
const int fj = open(fn, fm);
if (-1 >= fj) {
(void)fprintf(stderr, "Cannot open %s for reading!\n", fn);
return EXIT_FAILURE;
}
const size_t nt = n * sizeof(double);
double
*const a11 = (double*)aligned_alloc(sizeof(double), nt),
*const a22 = (double*)aligned_alloc(sizeof(double), nt),
*const a21r = (double*)aligned_alloc(sizeof(double), nt),
*const a21i = (double*)aligned_alloc(sizeof(double), nt),
*const cs1 = (double*)aligned_alloc(sizeof(double), nt),
*const snr = (double*)aligned_alloc(sizeof(double), nt),
*const sni = (double*)aligned_alloc(sizeof(double), nt),
*const l1 = (double*)aligned_alloc(sizeof(double), nt),
*const l2 = (double*)aligned_alloc(sizeof(double), nt);
assert(a11);
assert(a22);
assert(a21r);
assert(a21i);
assert(cs1);
assert(snr);
assert(sni);
assert(l1);
assert(l2);
wide *const w = (wide*)aligned_alloc(sizeof(wide), (n * sizeof(wide)));
assert(w);
unsigned rd[2u] = { 0u, 0u };
const uint64_t hz = tsc_get_freq_hz_(rd);
(void)fprintf(stderr, "TSC frequency: %llu+(%u/%u) Hz.\n", (unsigned long long)hz, rd[0u], rd[1u]);
(void)fflush(stderr);
(void)fprintf(stdout, "\"B\",\"Ts\",\"ORT\",\"REN\",\"RLN\",\"RLX\",\"RLM\"\n");
(void)fflush(stdout);
const char *bf = (const char*)NULL;
if (b <= 10u)
bf = "%1zu";
else if (b <= 100u)
bf = "%2zu";
else if (b <= 1000u)
bf = "%3zu";
else // b > 1000
bf = "%zu";
const size_t n_t = n / imax(th, 1);
const size_t cnt = n_t * sizeof(double);
char a[31u] = { '\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0','\0' };
for (size_t j = 0u; j < b; ++j) {
(void)fprintf(stdout, bf, j);
(void)fflush(stdout);
const size_t jn = j * n;
#ifdef _OPENMP
#pragma omp parallel default(none) shared(ff,fg,fr,fj,a11,a22,a21r,a21i,n,n_t,cnt,jn)
#endif /* _OPENMP */
{
const int mt =
#ifdef _OPENMP
omp_get_thread_num()
#else /* !_OPENMP */
0
#endif /* ?_OPENMP */
;
const size_t tnt = mt * n_t;
const off_t off = (jn + tnt) * sizeof(double);
if ((ssize_t)cnt != pread(ff, (a11 + tnt), cnt, off))
exit(EXIT_FAILURE);
if ((ssize_t)cnt != pread(fg, (a22 + tnt), cnt, off))
exit(EXIT_FAILURE);
if ((ssize_t)cnt != pread(fr, (a21r + tnt), cnt, off))
exit(EXIT_FAILURE);
if ((ssize_t)cnt != pread(fj, (a21i + tnt), cnt, off))
exit(EXIT_FAILURE);
}
(void)fprintf(stdout, ",");
(void)fflush(stdout);
uint64_t be[2u] = { UINT64_C(0), UINT64_C(0) };
be[0u] = rdtsc_beg(rd);
#ifdef _OPENMP
#pragma omp parallel for default(none) shared(n,a11,a22,a21r,a21i,l1,l2,cs1,snr,sni)
#endif /* _OPENMP */
for (size_t i = 0u; i < n; ++i)
_zlaev2((a11 + i), (a21r + i), (a21i + i), (a22 + i), (l1 + i), (l2 + i), (cs1 + i), (snr + i), (sni + i));
be[1u] = rdtsc_end(rd);
(void)fprintf(stdout, "%15.9Lf,", tsc_lap(hz, be[0u], be[1u]));
(void)fflush(stdout);
wide o = W_ZERO, r = W_ZERO;
#ifdef _OPENMP
#pragma omp parallel for default(none) shared(n,a11,a22,a21r,a21i,cs1,snr,sni,l1,l2,w) reduction(max:o,r)
#endif /* _OPENMP */
for (size_t i = 0u; i < n; ++i) {
wide AE = W_ZERO, AN = W_ZERO;
o = fmaxw(o, (w[i] = worc(cs1[i], snr[i], sni[i])));
r = fmaxw(r, wrec(a11[i], a22[i], a21r[i], a21i[i], cs1[i], snr[i], sni[i], l1[i], l2[i], &AE, &AN));
}
(void)fprintf(stdout, "%s,", xtoa(a, (long double)o));
(void)fprintf(stdout, "%s", xtoa(a, (long double)r));
(void)fflush(stdout);
size_t ix = n;
#ifdef _OPENMP
#pragma omp parallel for default(none) shared(n,o,w) reduction(min:ix)
#endif /* _OPENMP */
for (size_t i = 0u; i < n; ++i)
if (w[i] == o)
ix = i;
(void)fprintf(stderr, "%zu,%zu,%s;", j, ix, xtoa(a, (long double)o));
(void)fprintf(stderr, "%s,", xtoa(a, a11[ix]));
(void)fprintf(stderr, "%s,", xtoa(a, a22[ix]));
(void)fprintf(stderr, "(%s,", xtoa(a, a21r[ix]));
(void)fprintf(stderr, "%s);", xtoa(a, a21i[ix]));
(void)fprintf(stderr, "%s,", xtoa(a, cs1[ix]));
(void)fprintf(stderr, "(%s,", xtoa(a, snr[ix]));
(void)fprintf(stderr, "%s);", xtoa(a, sni[ix]));
(void)fprintf(stderr, "%s,", xtoa(a, l1[ix]));
(void)fprintf(stderr, "%s\n", xtoa(a, l2[ix]));
(void)fflush(stderr);
#ifdef _OPENMP
#pragma omp parallel default(none) shared(fk,fl,snr,sni,n,n_t,cnt,jn)
#endif /* _OPENMP */
{
const int mt =
#ifdef _OPENMP
omp_get_thread_num()
#else /* !_OPENMP */
0
#endif /* ?_OPENMP */
;
const size_t tnt = mt * n_t;
const off_t off = (jn + tnt) * sizeof(double);
if ((ssize_t)cnt != pread(fk, (snr + tnt), cnt, off))
exit(EXIT_FAILURE);
if ((ssize_t)cnt != pread(fl, (sni + tnt), cnt, off))
exit(EXIT_FAILURE);
}
(void)fprintf(stdout, ",");
(void)fflush(stdout);
wide x = W_ZERO, m = W_ZERO;
r = W_ZERO;
#ifdef _OPENMP
#pragma omp parallel for default(none) shared(n,l1,l2,snr,sni) reduction(max:r,x,m)
#endif /* _OPENMP */
for (size_t i = 0u; i < n; ++i) {
wide AE = W_ZERO, AN = W_ZERO;
const wide RE = wlam(l1[i], l2[i], snr[i], sni[i], &AE, &AN);
r = fmaxw(r, RE);
x = fmaxw(x, AE);
m = fmaxw(m, AN);
}
(void)fprintf(stdout, "%s,", xtoa(a, (long double)r));
(void)fprintf(stdout, "%s,", xtoa(a, (long double)x));
(void)fprintf(stdout, "%s\n", xtoa(a, (long double)m));
(void)fflush(stdout);
}
(void)close(fj);
(void)close(fr);
(void)close(fg);
(void)close(ff);
(void)close(fl);
(void)close(fk);
free(w);
free(l2);
free(l1);
free(sni);
free(snr);
free(cs1);
free(a21i);
free(a21r);
free(a22);
free(a11);
free(fn);
return EXIT_SUCCESS;
}
|
mrcore.c |
/***************************************************************************
*
Copyright 2013 CertiVox UK Ltd. *
*
This file is part of CertiVox MIRACL Crypto SDK. *
*
The CertiVox MIRACL Crypto SDK provides developers with an *
extensive and efficient set of cryptographic functions. *
For further information about its features and functionalities please *
refer to http://www.certivox.com *
*
* The CertiVox MIRACL Crypto SDK is free software: you can *
redistribute it and/or modify it under the terms of the *
GNU Affero General Public License as published by the *
Free Software Foundation, either version 3 of the License, *
or (at your option) any later version. *
*
* The CertiVox MIRACL Crypto SDK 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 Affero General Public License for more details. *
*
* You should have received a copy of the GNU Affero General Public *
License along with CertiVox MIRACL Crypto SDK. *
If not, see <http://www.gnu.org/licenses/>. *
*
You can be released from the requirements of the license by purchasing *
a commercial license. Buying such a license is mandatory as soon as you *
develop commercial activities involving the CertiVox MIRACL Crypto SDK *
without disclosing the source code of your own applications, or shipping *
the CertiVox MIRACL Crypto SDK with a closed source product. *
*
***************************************************************************/
/*
*
* MIRACL Core module - contains initialisation code and general purpose
* utilities
* mrcore.c
*
* Space can be saved by removing unneeded functions (mr_and ?)
*
*/
#include "miracl.h"
#include <stdlib.h>
#include <string.h>
#ifdef MR_FP
#include <math.h>
#endif
/*** Multi-Threaded Support ***/
#ifndef MR_GENERIC_MT
#ifdef MR_OPENMP_MT
#include <omp.h>
#define MR_MIP_EXISTS
miracl *mr_mip;
#pragma omp threadprivate(mr_mip)
miracl *get_mip()
{
return mr_mip;
}
void mr_init_threading()
{
}
void mr_end_threading()
{
}
#endif
#ifdef MR_WINDOWS_MT
#include <windows.h>
DWORD mr_key;
miracl *get_mip()
{
return (miracl *)TlsGetValue(mr_key);
}
void mr_init_threading()
{
mr_key=TlsAlloc();
}
void mr_end_threading()
{
TlsFree(mr_key);
}
#endif
#ifdef MR_UNIX_MT
#include <pthread.h>
pthread_key_t mr_key;
miracl *get_mip()
{
return (miracl *)pthread_getspecific(mr_key);
}
void mr_init_threading()
{
pthread_key_create(&mr_key,(void(*)(void *))NULL);
}
void mr_end_threading()
{
pthread_key_delete(mr_key);
}
#endif
#ifndef MR_WINDOWS_MT
#ifndef MR_UNIX_MT
#ifndef MR_OPENMP_MT
#ifdef MR_STATIC
miracl mip;
miracl *mr_mip=&mip;
#else
miracl *mr_mip=NULL; /* MIRACL's one and only global variable */
#endif
#define MR_MIP_EXISTS
miracl *get_mip()
{
return (miracl *)mr_mip;
}
#endif
#endif
#endif
#ifdef MR_MIP_EXISTS
void set_mip(miracl *mip)
{
mr_mip=mip;
}
#endif
#endif
/* See Advanced Windows by Jeffrey Richter, Chapter 12 for methods for
creating different instances of this global for each executing thread
when using Windows '95/NT
*/
#ifdef MR_STATIC
#if MIRACL==8
static const int mr_small_primes[]=
{2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,
107,109,113,127,0};
#else
static const int mr_small_primes[]=
{2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,
107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,
223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,
337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,
457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,
593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,
719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,
857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,
997,0};
#endif
#endif
#ifndef MR_STRIPPED_DOWN
#ifndef MR_NO_STANDARD_IO
static char *names[] =
{(char *)"your program",(char *)"innum",(char *)"otnum",(char *)"jack",(char *)"normalise",
(char *)"multiply",(char *)"divide",(char *)"incr",(char *)"decr",(char *)"premult",
(char *)"subdiv",(char *)"fdsize",(char *)"egcd",(char *)"cbase",
(char *)"cinnum",(char *)"cotnum",(char *)"nroot",(char *)"power",
(char *)"powmod",(char *)"bigdig",(char *)"bigrand",(char *)"nxprime",(char *)"isprime",
(char *)"mirvar",(char *)"mad",(char *)"multi_inverse",(char *)"putdig",
(char *)"add",(char *)"subtract",(char *)"mirsys",(char *)"xgcd",
(char *)"fpack",(char *)"dconv",(char *)"mr_shift",(char *)"mround",(char *)"fmul",
(char *)"fdiv",(char *)"fadd",(char *)"fsub",(char *)"fcomp",(char *)"fconv",
(char *)"frecip",(char *)"fpmul",(char *)"fincr",(char *)"",(char *)"ftrunc",
(char *)"frand",(char *)"sftbit",(char *)"build",(char *)"logb2",(char *)"expint",
(char *)"fpower",(char *)"froot",(char *)"fpi",(char *)"fexp",(char *)"flog",(char *)"fpowf",
(char *)"ftan",(char *)"fatan",(char *)"fsin",(char *)"fasin",(char *)"fcos",(char *)"facos",
(char *)"ftanh",(char *)"fatanh",(char *)"fsinh",(char *)"fasinh",(char *)"fcosh",
(char *)"facosh",(char *)"flop",(char *)"gprime",(char *)"powltr",(char *)"fft_mult",
(char *)"crt_init",(char *)"crt",(char *)"otstr",(char *)"instr",(char *)"cotstr",(char *)"cinstr",(char *)"powmod2",
(char *)"prepare_monty",(char *)"nres",(char *)"redc",(char *)"nres_modmult",(char *)"nres_powmod",
(char *)"nres_moddiv",(char *)"nres_powltr",(char *)"divisible",(char *)"remain",
(char *)"fmodulo",(char *)"nres_modadd",(char *)"nres_modsub",(char *)"nres_negate",
(char *)"ecurve_init",(char *)"ecurve_add",(char *)"ecurve_mult",
(char *)"epoint_init",(char *)"epoint_set",(char *)"epoint_get",(char *)"nres_powmod2",
(char *)"nres_sqroot",(char *)"sqroot",(char *)"nres_premult",(char *)"ecurve_mult2",
(char *)"ecurve_sub",(char *)"trial_division",(char *)"nxsafeprime",(char *)"nres_lucas",(char *)"lucas",
(char *)"brick_init",(char *)"pow_brick",(char *)"set_user_function",
(char *)"nres_powmodn",(char *)"powmodn",(char *)"ecurve_multn",
(char *)"ebrick_init",(char *)"mul_brick",(char *)"epoint_norm",(char *)"nres_multi_inverse",(char *)"",
(char *)"nres_dotprod",(char *)"epoint_negate",(char *)"ecurve_multi_add",
(char *)"ecurve2_init",(char *)"",(char *)"epoint2_set",(char *)"epoint2_norm",(char *)"epoint2_get",
(char *)"epoint2_comp",(char *)"ecurve2_add",(char *)"epoint2_negate",(char *)"ecurve2_sub",
(char *)"ecurve2_multi_add",(char *)"ecurve2_mult",(char *)"ecurve2_multn",(char *)"ecurve2_mult2",
(char *)"ebrick2_init",(char *)"mul2_brick",(char *)"prepare_basis",(char *)"strong_bigrand",
(char *)"bytes_to_big",(char *)"big_to_bytes",(char *)"set_io_buffer_size",
(char *)"epoint_getxyz",(char *)"epoint_double_add",(char *)"nres_double_inverse",
(char *)"double_inverse",(char *)"epoint_x",(char *)"hamming",(char *)"expb2",(char *)"bigbits",
(char *)"nres_lazy",(char *)"zzn2_imul",(char *)"nres_double_modadd",(char *)"nres_double_modsub",
/*155*/(char *)"",(char *)"zzn2_from_int",(char *)"zzn2_negate",(char *)"zzn2_conj",(char *)"zzn2_add",
(char *)"zzn2_sub",(char *)"zzn2_smul",(char *)"zzn2_mul",(char *)"zzn2_inv",(char *)"zzn2_timesi",(char *)"zzn2_powl",
(char *)"zzn2_from_bigs",(char *)"zzn2_from_big",(char *)"zzn2_from_ints",
(char *)"zzn2_sadd",(char *)"zzn2_ssub",(char *)"zzn2_times_irp",(char *)"zzn2_div2",
(char *)"zzn3_from_int",(char *)"zzn3_from_ints",(char *)"zzn3_from_bigs",
(char *)"zzn3_from_big",(char *)"zzn3_negate",(char *)"zzn3_powq",(char *)"zzn3_init",
(char *)"zzn3_add",(char *)"zzn3_sadd",(char *)"zzn3_sub",(char *)"zzn3_ssub",(char *)"zzn3_smul",
(char *)"zzn3_imul",(char *)"zzn3_mul",(char *)"zzn3_inv",(char *)"zzn3_div2",(char *)"zzn3_timesi",
(char *)"epoint_multi_norm",(char *)"mr_jsf",(char *)"epoint2_multi_norm",
(char *)"ecn2_compare",(char *)"ecn2_norm",(char *)"ecn2_set",(char *)"zzn2_txx",
(char *)"zzn2_txd",(char *)"nres_div2",(char *)"nres_div3",(char *)"zzn2_div3",
(char *)"ecn2_setx",(char *)"ecn2_rhs",(char *)"zzn2_qr",(char *)"zzn2_sqrt",(char *)"ecn2_add",(char *)"ecn2_mul2_jsf",(char *)"ecn2_mul",
(char *)"nres_div5",(char *)"zzn2_div5",(char *)"zzn2_sqr",(char *)"ecn2_add_sub",(char *)"ecn2_psi",(char *)"invmodp",
(char *)"zzn2_multi_inverse",(char *)"ecn2_multi_norm",(char *)"ecn2_precomp",(char *)"ecn2_mul4_gls_v",
(char *)"ecn2_mul2",(char *)"ecn2_precomp_gls",(char *)"ecn2_mul2_gls",
(char *)"ecn2_brick_init",(char *)"ecn2_mul_brick_gls",(char *)"ecn2_multn",(char *)"zzn3_timesi2",
(char *)"nres_complex",(char *)"zzn4_from_int",(char *)"zzn4_negate",(char *)"zzn4_conj",(char *)"zzn4_add",(char *)"zzn4_sadd",(char *)"zzn4_sub",(char *)"zzn4_ssub",(char *)"zzn4_smul",(char *)"zzn4_sqr",
(char *)"zzn4_mul",(char *)"zzn4_inv",(char *)"zzn4_div2",(char *)"zzn4_powq",(char *)"zzn4_tx",(char *)"zzn4_imul",(char *)"zzn4_lmul",(char *)"zzn4_from_big",
(char *)"ecn2_mult4"};
/* 0 - 243 (244 in all) */
#endif
#endif
#ifdef MR_NOASM
/* C only versions of muldiv/muldvd/muldvd2/muldvm */
/* Note that mr_large should be twice the size of mr_small */
mr_small muldiv(mr_small a,mr_small b,mr_small c,mr_small m,mr_small *rp)
{
mr_small q;
mr_large ldres,p=(mr_large)a*b+c;
q=(mr_small)(MR_LROUND(p/m));
*rp=(mr_small)(p-(mr_large)q*m);
return q;
}
#ifdef MR_FP_ROUNDING
mr_small imuldiv(mr_small a,mr_small b,mr_small c,mr_small m,mr_large im,mr_small *rp)
{
mr_small q;
mr_large ldres,p=(mr_large)a*b+c;
q=(mr_small)MR_LROUND(p*im);
*rp=(mr_small)(p-(mr_large)q*m);
return q;
}
#endif
#ifndef MR_NOFULLWIDTH
mr_small muldvm(mr_small a,mr_small c,mr_small m,mr_small *rp)
{
mr_small q;
union doubleword dble;
dble.h[MR_BOT]=c;
dble.h[MR_TOP]=a;
q=(mr_small)(dble.d/m);
*rp=(mr_small)(dble.d-(mr_large)q*m);
return q;
}
mr_small muldvd(mr_small a,mr_small b,mr_small c,mr_small *rp)
{
union doubleword dble;
dble.d=(mr_large)a*b+c;
*rp=dble.h[MR_BOT];
return dble.h[MR_TOP];
}
void muldvd2(mr_small a,mr_small b,mr_small *c,mr_small *rp)
{
union doubleword dble;
dble.d=(mr_large)a*b+*c+*rp;
*rp=dble.h[MR_BOT];
*c=dble.h[MR_TOP];
}
#endif
#endif
#ifdef MR_NOFULLWIDTH
/* no FULLWIDTH working, so supply dummies */
/*
mr_small muldvd(mr_small a,mr_small b,mr_small c,mr_small *rp)
{
return (mr_small)0;
}
mr_small muldvm(mr_small a,mr_small c,mr_small m,mr_small *rp)
{
return (mr_small)0;
}
void muldvd2(mr_small a,mr_small b,mr_small *c,mr_small *rp)
{
}
*/
#endif
#ifndef MR_NO_STANDARD_IO
static void mputs(char *s)
{ /* output a string */
int i=0;
while (s[i]!=0) fputc((int)s[i++],stdout);
}
#endif
void mr_berror(_MIPD_ int nerr)
{ /* Big number error routine */
#ifndef MR_STRIPPED_DOWN
int i;
#endif
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERCON)
{
mr_mip->ERNUM=nerr;
return;
}
#ifndef MR_NO_STANDARD_IO
#ifndef MR_STRIPPED_DOWN
mputs((char *)"\nMIRACL error from routine ");
if (mr_mip->depth<MR_MAXDEPTH) mputs(names[mr_mip->trace[mr_mip->depth]]);
else mputs((char *)"???");
fputc('\n',stdout);
for (i=mr_mip->depth-1;i>=0;i--)
{
mputs((char *)" called from ");
if (i<MR_MAXDEPTH) mputs(names[mr_mip->trace[i]]);
else mputs((char *)"???");
fputc('\n',stdout);
}
switch (nerr)
{
case 1 :
mputs((char *)"Number base too big for representation\n");
break;
case 2 :
mputs((char *)"Division by zero attempted\n");
break;
case 3 :
mputs((char *)"Overflow - Number too big\n");
break;
case 4 :
mputs((char *)"Internal result is negative\n");
break;
case 5 :
mputs((char *)"Input format error\n");
break;
case 6 :
mputs((char *)"Illegal number base\n");
break;
case 7 :
mputs((char *)"Illegal parameter usage\n");
break;
case 8 :
mputs((char *)"Out of space\n");
break;
case 9 :
mputs((char *)"Even root of a negative number\n");
break;
case 10:
mputs((char *)"Raising integer to negative power\n");
break;
case 11:
mputs((char *)"Attempt to take illegal root\n");
break;
case 12:
mputs((char *)"Integer operation attempted on Flash number\n");
break;
case 13:
mputs((char *)"Flash overflow\n");
break;
case 14:
mputs((char *)"Numbers too big\n");
break;
case 15:
mputs((char *)"Log of a non-positive number\n");
break;
case 16:
mputs((char *)"Flash to double conversion failure\n");
break;
case 17:
mputs((char *)"I/O buffer overflow\n");
break;
case 18:
mputs((char *)"MIRACL not initialised - no call to mirsys()\n");
break;
case 19:
mputs((char *)"Illegal modulus \n");
break;
case 20:
mputs((char *)"No modulus defined\n");
break;
case 21:
mputs((char *)"Exponent too big\n");
break;
case 22:
mputs((char *)"Unsupported Feature - check mirdef.h\n");
break;
case 23:
mputs((char *)"Specified double length type isn't double length\n");
break;
case 24:
mputs((char *)"Specified basis is NOT irreducible\n");
break;
case 25:
mputs((char *)"Unable to control Floating-point rounding\n");
break;
case 26:
mputs((char *)"Base must be binary (MR_ALWAYS_BINARY defined in mirdef.h ?)\n");
break;
case 27:
mputs((char *)"No irreducible basis defined\n");
break;
case 28:
mputs((char *)"Composite modulus\n");
break;
case 29:
mputs((char *)"Input/output error when reading from RNG device node\n");
break;
default:
mputs((char *)"Undefined error\n");
break;
}
exit(0);
#else
mputs((char *)"MIRACL error\n");
exit(0);
#endif
#endif
}
#ifndef MR_STRIPPED_DOWN
void mr_track(_MIPDO_ )
{ /* track course of program execution *
* through the MIRACL routines */
#ifndef MR_NO_STANDARD_IO
int i;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
for (i=0;i<mr_mip->depth;i++) fputc('-',stdout);
fputc('>',stdout);
mputs(names[mr_mip->trace[mr_mip->depth]]);
fputc('\n',stdout);
#endif
}
#endif
#ifndef MR_NO_RAND
mr_small brand(_MIPDO_ )
{ /* Marsaglia & Zaman random number generator */
int i,k;
mr_unsign32 pdiff,t;
mr_small r;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->lg2b>32)
{ /* underlying type is > 32 bits. Assume <= 64 bits */
mr_mip->rndptr+=2;
if (mr_mip->rndptr<NK-1)
{
r=(mr_small)mr_mip->ira[mr_mip->rndptr];
r=mr_shiftbits(r,mr_mip->lg2b-32);
r+=(mr_small)mr_mip->ira[mr_mip->rndptr+1];
return r;
}
}
else
{
mr_mip->rndptr++;
if (mr_mip->rndptr<NK) return (mr_small)mr_mip->ira[mr_mip->rndptr];
}
mr_mip->rndptr=0;
for (i=0,k=NK-NJ;i<NK;i++,k++)
{ /* calculate next NK values */
if (k==NK) k=0;
t=mr_mip->ira[k];
pdiff=t - mr_mip->ira[i] - mr_mip->borrow;
if (pdiff<t) mr_mip->borrow=0;
if (pdiff>t) mr_mip->borrow=1;
mr_mip->ira[i]=pdiff;
}
if (mr_mip->lg2b>32)
{ /* double up */
r=(mr_small)mr_mip->ira[0];
r=mr_shiftbits(r,mr_mip->lg2b-32);
r+=(mr_small)mr_mip->ira[1];
return r;
}
else return (mr_small)(mr_mip->ira[0]);
}
void irand(_MIPD_ mr_unsign32 seed)
{ /* initialise random number system */
int i,in;
mr_unsign32 t,m=1L;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
mr_mip->borrow=0L;
mr_mip->rndptr=0;
mr_mip->ira[0]=seed;
for (i=1;i<NK;i++)
{ /* fill initialisation vector */
in=(NV*i)%NK;
mr_mip->ira[in]=m;
t=m;
m=seed-m;
seed=t;
}
for (i=0;i<1000;i++) brand(_MIPPO_ ); /* "warm-up" & stir the generator */
}
#endif
mr_small mr_shiftbits(mr_small x,int n)
{
#ifdef MR_FP
int i;
mr_small dres;
if (n==0) return x;
if (n>0)
{
for (i=0;i<n;i++) x=x+x;
return x;
}
n=-n;
for (i=0;i<n;i++) x=MR_DIV(x,2.0);
return x;
#else
if (n==0) return x;
if (n>0) x<<=n;
else x>>=(-n);
return x;
#endif
}
mr_small mr_setbase(_MIPD_ mr_small nb)
{ /* set base. Pack as many digits as *
* possible into each computer word */
mr_small temp;
#ifdef MR_FP
mr_small dres;
#endif
#ifndef MR_NOFULLWIDTH
BOOL fits;
int bits;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
fits=FALSE;
bits=MIRACL;
while (bits>1)
{
bits/=2;
temp=((mr_small)1<<bits);
if (temp==nb)
{
fits=TRUE;
break;
}
if (temp<nb || (bits%2)!=0) break;
}
if (fits)
{
mr_mip->apbase=nb;
mr_mip->pack=MIRACL/bits;
mr_mip->base=0;
return 0;
}
#endif
mr_mip->apbase=nb;
mr_mip->pack=1;
mr_mip->base=nb;
#ifdef MR_SIMPLE_BASE
return 0;
#else
if (mr_mip->base==0) return 0;
temp=MR_DIV(MAXBASE,nb);
while (temp>=nb)
{
temp=MR_DIV(temp,nb);
mr_mip->base*=nb;
mr_mip->pack++;
}
#ifdef MR_FP_ROUNDING
mr_mip->inverse_base=mr_invert(mr_mip->base);
return mr_mip->inverse_base;
#else
return 0;
#endif
#endif
}
#ifdef MR_FLASH
BOOL fit(big x,big y,int f)
{ /* returns TRUE if x/y would fit flash format of length f */
int n,d;
n=(int)(x->len&(MR_OBITS));
d=(int)(y->len&(MR_OBITS));
if (n==1 && x->w[0]==1) n=0;
if (d==1 && y->w[0]==1) d=0;
if (n+d<=f) return TRUE;
return FALSE;
}
#endif
int mr_lent(flash x)
{ /* return length of big or flash in words */
mr_lentype lx;
lx=(x->len&(MR_OBITS));
#ifdef MR_FLASH
return (int)((lx&(MR_MSK))+((lx>>(MR_BTS))&(MR_MSK)));
#else
return (int)lx;
#endif
}
void zero(flash x)
{ /* set big/flash number to zero */
int i,n;
mr_small *g;
if (x==NULL) return;
#ifdef MR_FLASH
n=mr_lent(x);
#else
n=(x->len&MR_OBITS);
#endif
g=x->w;
for (i=0;i<n;i++)
g[i]=0;
x->len=0;
}
void uconvert(_MIPD_ unsigned int n ,big x)
{ /* convert unsigned integer n to big number format */
int m;
#ifdef MR_FP
mr_small dres;
#endif
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
zero(x);
if (n==0) return;
m=0;
#ifndef MR_SIMPLE_BASE
if (mr_mip->base==0)
{
#endif
#ifndef MR_NOFULLWIDTH
#if MR_IBITS > MIRACL
while (n>0)
{
x->w[m++]=(mr_small)(n%((mr_small)1<<(MIRACL)));
n/=((mr_small)1<<(MIRACL));
}
#else
x->w[m++]=(mr_small)n;
#endif
#endif
#ifndef MR_SIMPLE_BASE
}
else while (n>0)
{
x->w[m++]=MR_REMAIN((mr_small)n,mr_mip->base);
n=(unsigned int)((mr_small)n/mr_mip->base);
}
#endif
x->len=m;
}
void tconvert(_MIPD_ mr_utype n,big x)
{
mr_lentype s;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (n==0) {zero(x); return;}
s=0;
if (n<0)
{
s=MR_MSBIT;
n=(-n);
}
x->w[0]=n;
x->len=1;
x->len|=s;
}
void convert(_MIPD_ int n ,big x)
{ /* convert signed integer n to big number format */
mr_lentype s;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (n==0) {zero(x); return;}
s=0;
if (n<0)
{
s=MR_MSBIT;
n=(-n);
}
uconvert(_MIPP_ (unsigned int)n,x);
x->len|=s;
}
#ifndef MR_STATIC
#ifdef mr_dltype
void dlconv(_MIPD_ mr_dltype n,big x)
{ /* convert double length integer to big number format - rarely needed */
int m;
mr_lentype s;
#ifdef MR_FP
mr_small dres;
#endif
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
zero(x);
if (n==0) return;
s=0;
if (n<0)
{
s=MR_MSBIT;
n=(-n);
}
m=0;
#ifndef MR_SIMPLE_BASE
if (mr_mip->base==0)
{
#endif
#ifndef MR_NOFULLWIDTH
while (n>0)
{
x->w[m++]=(mr_small)(n%((mr_dltype)1<<(MIRACL)));
n/=((mr_dltype)1<<(MIRACL));
}
#endif
#ifndef MR_SIMPLE_BASE
}
else while (n>0)
{
x->w[m++]=(mr_small)MR_REMAIN(n,mr_mip->base);
n/=mr_mip->base;
}
#endif
x->len=(m|s);
}
#endif
void ulgconv(_MIPD_ unsigned long n,big x)
{ /* convert unsigned long integer to big number format - rarely needed */
int m;
#ifdef MR_FP
mr_small dres;
#endif
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
zero(x);
if (n==0) return;
m=0;
#ifndef MR_SIMPLE_BASE
if (mr_mip->base==0)
{
#endif
#ifndef MR_NOFULLWIDTH
#if MR_LBITS > MIRACL
while (n>0)
{
x->w[m++]=(mr_small)(n%(1L<<(MIRACL)));
n/=(1L<<(MIRACL));
}
#else
x->w[m++]=(mr_small)n;
#endif
#endif
#ifndef MR_SIMPLE_BASE
}
else while (n>0)
{
x->w[m++]=MR_REMAIN(n,mr_mip->base);
n=(unsigned long)((mr_small)n/mr_mip->base);
}
#endif
x->len=m;
}
void lgconv(_MIPD_ long n,big x)
{ /* convert signed long integer to big number format - rarely needed */
mr_lentype s;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (n==0) {zero(x); return;}
s=0;
if (n<0)
{
s=MR_MSBIT;
n=(-n);
}
ulgconv(_MIPP_ (unsigned long)n,x);
x->len|=s;
}
flash mirvar(_MIPD_ int iv)
{ /* initialize big/flash number */
flash x;
int align;
char *ptr;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return NULL;
MR_IN(23);
if (!(mr_mip->active))
{
mr_berror(_MIPP_ MR_ERR_NO_MIRSYS);
MR_OUT
return NULL;
}
/* OK, now I control alignment.... */
/* Allocate space for big, the length, the pointer, and the array */
/* Do it all in one memory allocation - this is quicker */
/* Ensure that the array has correct alignment */
x=(big)mr_alloc(_MIPP_ mr_size(mr_mip->nib-1),1);
if (x==NULL)
{
MR_OUT
return x;
}
ptr=(char *)&x->w;
align=(unsigned long)(ptr+sizeof(mr_small *))%sizeof(mr_small);
x->w=(mr_small *)(ptr+sizeof(mr_small *)+sizeof(mr_small)-align);
if (iv!=0) convert(_MIPP_ iv,x);
MR_OUT
return x;
}
#endif
flash mirvar_mem_variable(char *mem,int index,int sz)
{
flash x;
int align;
char *ptr;
int offset,r;
/* alignment */
offset=0;
r=(unsigned long)mem%MR_SL;
if (r>0) offset=MR_SL-r;
x=(big)&mem[offset+mr_size(sz)*index];
ptr=(char *)&x->w;
align=(unsigned long)(ptr+sizeof(mr_small *))%sizeof(mr_small);
x->w=(mr_small *)(ptr+sizeof(mr_small *)+sizeof(mr_small)-align);
return x;
}
flash mirvar_mem(_MIPD_ char *mem,int index)
{ /* initialize big/flash number from pre-allocated memory */
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return NULL;
return mirvar_mem_variable(mem,index,mr_mip->nib-1);
}
void set_user_function(_MIPD_ BOOL (*user)(void))
{
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return;
MR_IN(111)
if (!(mr_mip->active))
{
mr_berror(_MIPP_ MR_ERR_NO_MIRSYS);
MR_OUT
return;
}
mr_mip->user=user;
MR_OUT
}
#ifndef MR_STATIC
#ifndef MR_SIMPLE_IO
void set_io_buffer_size(_MIPD_ int len)
{
int i;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (len<0) return;
MR_IN(142)
for (i=0;i<mr_mip->IOBSIZ;i++) mr_mip->IOBUFF[i]=0;
mr_free(mr_mip->IOBUFF);
if (len==0)
{
MR_OUT
return;
}
mr_mip->IOBSIZ=len;
mr_mip->IOBUFF=(char *)mr_alloc(_MIPP_ len+1,1);
mr_mip->IOBUFF[0]='\0';
MR_OUT
}
#endif
#endif
/* Initialise a big from ROM given its fixed length */
BOOL init_big_from_rom(big x,int len,const mr_small *rom,int romsize,int *romptr)
{
int i;
zero(x);
x->len=len;
for (i=0;i<len;i++)
{
if (*romptr>=romsize) return FALSE;
#ifdef MR_AVR
x->w[i]=pgm_read_byte_near(&rom[*romptr]);
#else
x->w[i]=rom[*romptr];
#endif
(*romptr)++;
}
mr_lzero(x);
return TRUE;
}
/* Initialise an elliptic curve point from ROM */
BOOL init_point_from_rom(epoint *P,int len,const mr_small *rom,int romsize,int *romptr)
{
if (!init_big_from_rom(P->X,len,rom,romsize,romptr)) return FALSE;
if (!init_big_from_rom(P->Y,len,rom,romsize,romptr)) return FALSE;
P->marker=MR_EPOINT_NORMALIZED;
return TRUE;
}
#ifdef MR_GENERIC_AND_STATIC
miracl *mirsys(miracl *mr_mip,int nd,mr_small nb)
#else
miracl *mirsys(int nd,mr_small nb)
#endif
{ /* Initialize MIRACL system to *
* use numbers to base nb, and *
* nd digits or (-nd) bytes long */
/* In these cases mr_mip is passed as the first parameter */
#ifdef MR_GENERIC_AND_STATIC
return mirsys_basic(mr_mip,nd,nb);
#endif
#ifdef MR_GENERIC_MT
#ifndef MR_STATIC
miracl *mr_mip=mr_first_alloc();
return mirsys_basic(mr_mip,nd,nb);
#endif
#endif
/* In these cases mr_mip is a "global" pointer and the mip itself is allocated from the heap.
In fact mr_mip (and mip) may be thread specific if some multi-threading scheme is implemented */
#ifndef MR_STATIC
#ifdef MR_WINDOWS_MT
miracl *mr_mip=mr_first_alloc();
TlsSetValue(mr_key,mr_mip);
#endif
#ifdef MR_UNIX_MT
miracl *mr_mip=mr_first_alloc();
pthread_setspecific(mr_key,mr_mip);
#endif
#ifdef MR_OPENMP_MT
mr_mip=mr_first_alloc();
#endif
#ifndef MR_WINDOWS_MT
#ifndef MR_UNIX_MT
#ifndef MR_OPENMP_MT
mr_mip=mr_first_alloc();
#endif
#endif
#endif
#endif
#ifndef MR_GENERIC_MT
mr_mip=get_mip();
#endif
return mirsys_basic(mr_mip,nd,nb);
}
miracl *mirsys_basic(miracl *mr_mip,int nd,mr_small nb)
{
#ifndef MR_NO_RAND
int i;
#endif
mr_small b,nw;
#ifdef MR_FP
mr_small dres;
#endif
if (mr_mip==NULL) return NULL;
#ifndef MR_STRIPPED_DOWN
mr_mip->depth=0;
mr_mip->trace[0]=0;
mr_mip->depth++;
mr_mip->trace[mr_mip->depth]=29;
#endif
/* digest hardware configuration */
#ifdef MR_NO_STANDARD_IO
mr_mip->ERCON=TRUE;
#else
mr_mip->ERCON=FALSE;
#endif
#ifndef MR_STATIC
mr_mip->logN=0;
mr_mip->degree=0;
mr_mip->chin.NP=0;
#endif
mr_mip->user=NULL;
mr_mip->same=FALSE;
mr_mip->first_one=FALSE;
mr_mip->debug=FALSE;
mr_mip->AA=0;
#ifndef MR_AFFINE_ONLY
mr_mip->coord=MR_NOTSET;
#endif
#ifdef MR_NOFULLWIDTH
if (nb==0)
{
mr_berror(_MIPP_ MR_ERR_BAD_BASE);
MR_OUT
return mr_mip;
}
#endif
#ifndef MR_FP
#ifdef mr_dltype
#ifndef MR_NOFULLWIDTH
if (sizeof(mr_dltype)<2*sizeof(mr_utype))
{ /* double length type, isn't */
mr_berror(_MIPP_ MR_ERR_NOT_DOUBLE_LEN);
MR_OUT
return mr_mip;
}
#endif
#endif
#endif
if (nb==1 || nb>MAXBASE)
{
mr_berror(_MIPP_ MR_ERR_BAD_BASE);
MR_OUT
return mr_mip;
}
#ifdef MR_FP_ROUNDING
if (mr_setbase(_MIPP_ nb)==0)
{ /* unable in fact to control FP rounding */
mr_berror(_MIPP_ MR_ERR_NO_ROUNDING);
MR_OUT
return mr_mip;
}
#else
mr_setbase(_MIPP_ nb);
#endif
b=mr_mip->base;
#ifdef MR_SIMPLE_BASE
if (b!=0)
{
mr_berror(_MIPP_ MR_ERR_BAD_BASE);
MR_OUT
return mr_mip;
}
#endif
mr_mip->lg2b=0;
mr_mip->base2=1;
#ifndef MR_SIMPLE_BASE
if (b==0)
{
#endif
mr_mip->lg2b=MIRACL;
mr_mip->base2=0;
#ifndef MR_SIMPLE_BASE
}
else while (b>1)
{
b=MR_DIV(b,2);
mr_mip->lg2b++;
mr_mip->base2*=2;
}
#endif
#ifdef MR_ALWAYS_BINARY
if (mr_mip->base!=mr_mip->base2)
{
mr_berror(_MIPP_ MR_ERR_NOT_BINARY);
MR_OUT
return mr_mip;
}
#endif
/* calculate total space for bigs */
/*
big -> |int len|small *ptr| alignment space | size in words +1| alignment up to multiple of 4 |
*/
if (nd>0) nw=MR_ROUNDUP(nd,mr_mip->pack);
else nw=MR_ROUNDUP(8*(-nd),mr_mip->lg2b);
if (nw<1) nw=1;
mr_mip->nib=(int)(nw+1); /* add one extra word for small overflows */
#ifdef MR_STATIC
if (nw>MR_STATIC)
{
mr_berror(_MIPP_ MR_ERR_TOO_BIG);
MR_OUT
return mr_mip;
}
#endif
/* mr_mip->nib=(int)(nw+1); add one extra word for small overflows */
#ifdef MR_FLASH
mr_mip->workprec=mr_mip->nib;
mr_mip->stprec=mr_mip->nib;
while (mr_mip->stprec>2 && mr_mip->stprec>MR_FLASH/mr_mip->lg2b)
mr_mip->stprec=(mr_mip->stprec+1)/2;
if (mr_mip->stprec<2) mr_mip->stprec=2;
#endif
#ifndef MR_DOUBLE_BIG
mr_mip->check=ON;
#else
mr_mip->check=OFF;
#endif
#ifndef MR_SIMPLE_BASE
#ifndef MR_SIMPLE_IO
mr_mip->IOBASE=10; /* defaults */
#endif
#endif
mr_mip->ERNUM=0;
mr_mip->NTRY=6;
mr_mip->MONTY=ON;
#ifdef MR_FLASH
mr_mip->EXACT=TRUE;
mr_mip->RPOINT=OFF;
#endif
#ifndef MR_STRIPPED_DOWN
mr_mip->TRACER=OFF;
#endif
#ifndef MR_SIMPLE_IO
mr_mip->INPLEN=0;
mr_mip->IOBSIZ=MR_DEFAULT_BUFFER_SIZE;
#endif
#ifdef MR_STATIC
mr_mip->PRIMES=mr_small_primes;
#else
mr_mip->PRIMES=NULL;
#ifndef MR_SIMPLE_IO
mr_mip->IOBUFF=(char *)mr_alloc(_MIPP_ MR_DEFAULT_BUFFER_SIZE+1,1);
#endif
#endif
#ifndef MR_SIMPLE_IO
mr_mip->IOBUFF[0]='\0';
#endif
mr_mip->qnr=0;
mr_mip->cnr=0;
mr_mip->TWIST=0;
mr_mip->pmod8=0;
mr_mip->pmod9=0;
/* quick start for rng. irand(.) should be called first before serious use.. */
#ifndef MR_NO_RAND
mr_mip->ira[0]=0x55555555;
mr_mip->ira[1]=0x12345678;
for (i=2;i<NK;i++)
mr_mip->ira[i]=mr_mip->ira[i-1]+mr_mip->ira[i-2]+0x1379BDF1;
mr_mip->rndptr=NK;
mr_mip->borrow=0;
#endif
mr_mip->nib=2*mr_mip->nib+1;
#ifdef MR_FLASH
if (mr_mip->nib!=(mr_mip->nib&(MR_MSK)))
#else
if (mr_mip->nib!=(int)(mr_mip->nib&(MR_OBITS)))
#endif
{
mr_berror(_MIPP_ MR_ERR_TOO_BIG);
mr_mip->nib=(mr_mip->nib-1)/2;
MR_OUT
return mr_mip;
}
#ifndef MR_STATIC
mr_mip->workspace=(char *)memalloc(_MIPP_ MR_SPACES); /* grab workspace */
#else
memset(mr_mip->workspace,0,MR_BIG_RESERVE(MR_SPACES));
#endif
mr_mip->M=0;
mr_mip->fin=FALSE;
mr_mip->fout=FALSE;
mr_mip->active=ON;
mr_mip->nib=(mr_mip->nib-1)/2;
/* allocate memory for workspace variables */
#ifndef MR_DOUBLE_BIG
mr_mip->w0=mirvar_mem(_MIPP_ mr_mip->workspace,0); /* double length */
mr_mip->w1=mirvar_mem(_MIPP_ mr_mip->workspace,2);
mr_mip->w2=mirvar_mem(_MIPP_ mr_mip->workspace,3);
mr_mip->w3=mirvar_mem(_MIPP_ mr_mip->workspace,4);
mr_mip->w4=mirvar_mem(_MIPP_ mr_mip->workspace,5);
mr_mip->w5=mirvar_mem(_MIPP_ mr_mip->workspace,6); /* double length */
mr_mip->w6=mirvar_mem(_MIPP_ mr_mip->workspace,8); /* double length */
mr_mip->w7=mirvar_mem(_MIPP_ mr_mip->workspace,10); /* double length */
mr_mip->w8=mirvar_mem(_MIPP_ mr_mip->workspace,12);
mr_mip->w9=mirvar_mem(_MIPP_ mr_mip->workspace,13);
mr_mip->w10=mirvar_mem(_MIPP_ mr_mip->workspace,14);
mr_mip->w11=mirvar_mem(_MIPP_ mr_mip->workspace,15);
mr_mip->w12=mirvar_mem(_MIPP_ mr_mip->workspace,16);
mr_mip->w13=mirvar_mem(_MIPP_ mr_mip->workspace,17);
mr_mip->w14=mirvar_mem(_MIPP_ mr_mip->workspace,18);
mr_mip->w15=mirvar_mem(_MIPP_ mr_mip->workspace,19);
mr_mip->sru=mirvar_mem(_MIPP_ mr_mip->workspace,20);
mr_mip->modulus=mirvar_mem(_MIPP_ mr_mip->workspace,21);
mr_mip->pR=mirvar_mem(_MIPP_ mr_mip->workspace,22); /* double length */
mr_mip->A=mirvar_mem(_MIPP_ mr_mip->workspace,24);
mr_mip->B=mirvar_mem(_MIPP_ mr_mip->workspace,25);
mr_mip->one=mirvar_mem(_MIPP_ mr_mip->workspace,26);
#ifdef MR_KCM
mr_mip->big_ndash=mirvar_mem(_MIPP_ mr_mip->workspace,27);
mr_mip->ws=mirvar_mem(_MIPP_ mr_mip->workspace,28);
mr_mip->wt=mirvar_mem(_MIPP_ mr_mip->workspace,29); /* double length */
#endif
#ifdef MR_FLASH
#ifdef MR_KCM
mr_mip->pi=mirvar_mem(_MIPP_ mr_mip->workspace,31);
#else
mr_mip->pi=mirvar_mem(_MIPP_ mr_mip->workspace,27);
#endif
#endif
#else
/* w0-w7 are double normal length */
mr_mip->w0=mirvar_mem(_MIPP_ mr_mip->workspace,0); /* quad length */
mr_mip->w1=mirvar_mem(_MIPP_ mr_mip->workspace,4); /* double length */
mr_mip->w2=mirvar_mem(_MIPP_ mr_mip->workspace,6);
mr_mip->w3=mirvar_mem(_MIPP_ mr_mip->workspace,8);
mr_mip->w4=mirvar_mem(_MIPP_ mr_mip->workspace,10);
mr_mip->w5=mirvar_mem(_MIPP_ mr_mip->workspace,12); /* quad length */
mr_mip->w6=mirvar_mem(_MIPP_ mr_mip->workspace,16); /* quad length */
mr_mip->w7=mirvar_mem(_MIPP_ mr_mip->workspace,20); /* quad length */
mr_mip->w8=mirvar_mem(_MIPP_ mr_mip->workspace,24);
mr_mip->w9=mirvar_mem(_MIPP_ mr_mip->workspace,25);
mr_mip->w10=mirvar_mem(_MIPP_ mr_mip->workspace,26);
mr_mip->w11=mirvar_mem(_MIPP_ mr_mip->workspace,27);
mr_mip->w12=mirvar_mem(_MIPP_ mr_mip->workspace,28);
mr_mip->w13=mirvar_mem(_MIPP_ mr_mip->workspace,29);
mr_mip->w14=mirvar_mem(_MIPP_ mr_mip->workspace,30);
mr_mip->w15=mirvar_mem(_MIPP_ mr_mip->workspace,31);
mr_mip->sru=mirvar_mem(_MIPP_ mr_mip->workspace,32);
mr_mip->modulus=mirvar_mem(_MIPP_ mr_mip->workspace,33);
mr_mip->pR=mirvar_mem(_MIPP_ mr_mip->workspace,34); /* double length */
mr_mip->A=mirvar_mem(_MIPP_ mr_mip->workspace,36);
mr_mip->B=mirvar_mem(_MIPP_ mr_mip->workspace,37);
mr_mip->one=mirvar_mem(_MIPP_ mr_mip->workspace,38);
#ifdef MR_KCM
mr_mip->big_ndash=mirvar_mem(_MIPP_ mr_mip->workspace,39);
mr_mip->ws=mirvar_mem(_MIPP_ mr_mip->workspace,40);
mr_mip->wt=mirvar_mem(_MIPP_ mr_mip->workspace,41); /* double length */
#endif
#ifdef MR_FLASH
#ifdef MR_KCM
mr_mip->pi=mirvar_mem(_MIPP_ mr_mip->workspace,43);
#else
mr_mip->pi=mirvar_mem(_MIPP_ mr_mip->workspace,39);
#endif
#endif
#endif
MR_OUT
return mr_mip;
}
#ifndef MR_STATIC
/* allocate space for a number of bigs from the heap */
void *memalloc(_MIPD_ int num)
{
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
return mr_alloc(_MIPP_ mr_big_reserve(num,mr_mip->nib-1),1);
}
#endif
void memkill(_MIPD_ char *mem,int len)
{
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mem==NULL) return;
memset(mem,0,mr_big_reserve(len,mr_mip->nib-1));
#ifndef MR_STATIC
mr_free(mem);
#endif
}
#ifndef MR_STATIC
void mirkill(big x)
{ /* kill a big/flash variable, that is set it to zero
and free its memory */
if (x==NULL) return;
zero(x);
mr_free(x);
}
#endif
void mirexit(_MIPDO_ )
{ /* clean up after miracl */
int i;
#ifdef MR_WINDOWS_MT
miracl *mr_mip=get_mip();
#endif
#ifdef MR_UNIX_MT
miracl *mr_mip=get_mip();
#endif
#ifdef MR_OPENMP_MT
miracl *mr_mip=get_mip();
#endif
mr_mip->ERCON=FALSE;
mr_mip->active=OFF;
memkill(_MIPP_ mr_mip->workspace,MR_SPACES);
#ifndef MR_NO_RAND
for (i=0;i<NK;i++) mr_mip->ira[i]=0L;
#endif
#ifndef MR_STATIC
#ifndef MR_SIMPLE_IO
set_io_buffer_size(_MIPP_ 0);
#endif
if (mr_mip->PRIMES!=NULL) mr_free(mr_mip->PRIMES);
#else
#ifndef MR_SIMPLE_IO
for (i=0;i<=MR_DEFAULT_BUFFER_SIZE;i++)
mr_mip->IOBUFF[i]=0;
#endif
#endif
#ifndef MR_STATIC
mr_free(mr_mip);
#ifdef MR_WINDOWS_MT
TlsSetValue(mr_key, NULL); /* Thank you Thales */
#endif
#endif
#ifndef MR_GENERIC_MT
#ifndef MR_WINDOWS_MT
#ifndef MR_UNIX_MT
#ifndef MR_STATIC
mr_mip=NULL;
#endif
#endif
#endif
#endif
#ifdef MR_OPENMP_MT
mr_mip=NULL;
#endif
}
int exsign(flash x)
{ /* extract sign of big/flash number */
if ((x->len&(MR_MSBIT))==0) return PLUS;
else return MINUS;
}
void insign(int s,flash x)
{ /* assert sign of big/flash number */
if (x->len==0) return;
if (s<0) x->len|=MR_MSBIT;
else x->len&=MR_OBITS;
}
void mr_lzero(big x)
{ /* strip leading zeros from big number */
mr_lentype s;
int m;
s=(x->len&(MR_MSBIT));
m=(int)(x->len&(MR_OBITS));
while (m>0 && x->w[m-1]==0)
m--;
x->len=m;
if (m>0) x->len|=s;
}
#ifndef MR_SIMPLE_IO
int getdig(_MIPD_ big x,int i)
{ /* extract a packed digit */
int k;
mr_small n;
#ifdef MR_FP
mr_small dres;
#endif
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
i--;
n=x->w[i/mr_mip->pack];
if (mr_mip->pack==1) return (int)n;
k=i%mr_mip->pack;
for (i=1;i<=k;i++)
n=MR_DIV(n,mr_mip->apbase);
return (int)MR_REMAIN(n,mr_mip->apbase);
}
int numdig(_MIPD_ big x)
{ /* returns number of digits in x */
int nd;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (x->len==0) return 0;
nd=(int)(x->len&(MR_OBITS))*mr_mip->pack;
while (getdig(_MIPP_ x,nd)==0)
nd--;
return nd;
}
void putdig(_MIPD_ int n,big x,int i)
{ /* insert a digit into a packed word */
int j,k,lx;
mr_small m,p;
mr_lentype s;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return;
MR_IN(26)
s=(x->len&(MR_MSBIT));
lx=(int)(x->len&(MR_OBITS));
m=getdig(_MIPP_ x,i);
p=n;
i--;
j=i/mr_mip->pack;
k=i%mr_mip->pack;
for (i=1;i<=k;i++)
{
m*=mr_mip->apbase;
p*=mr_mip->apbase;
}
if (j>=mr_mip->nib && (mr_mip->check || j>=2*mr_mip->nib))
{
mr_berror(_MIPP_ MR_ERR_OVERFLOW);
MR_OUT
return;
}
x->w[j]=(x->w[j]-m)+p;
if (j>=lx) x->len=((j+1)|s);
mr_lzero(x);
MR_OUT
}
#endif
#ifndef MR_FP
void mr_and(big x,big y,big z)
{ /* z= bitwise logical AND of x and y */
int i,nx,ny,nz,nr;
if (x==y)
{
copy(x,z);
return;
}
#ifdef MR_FLASH
nx=mr_lent(x);
ny=mr_lent(y);
nz=mr_lent(z);
#else
ny=(y->len&(MR_OBITS));
nx=(x->len&(MR_OBITS));
nz=(z->len&(MR_OBITS));
#endif
if (ny<nx) nr=ny;
else nr=nx;
for (i=0;i<nr;i++)
z->w[i]=x->w[i]&y->w[i];
for (i=nr;i<nz;i++)
z->w[i]=0;
z->len=nr;
mr_lzero(z);
}
void mr_xor(big x,big y,big z)
{
int i,nx,ny,nz,nr;
if (x==y)
{
copy(x,z);
return;
}
#ifdef MR_FLASH
nx=mr_lent(x);
ny=mr_lent(y);
nz=mr_lent(z);
#else
ny=(y->len&(MR_OBITS));
nx=(x->len&(MR_OBITS));
nz=(z->len&(MR_OBITS));
#endif
if (ny<nx) nr=nx;
else nr=ny;
for (i=0;i<nr;i++)
z->w[i]=x->w[i]^y->w[i];
for (i=nr;i<nz;i++)
z->w[i]=0;
z->len=nr;
mr_lzero(z);
}
#endif
void copy(flash x,flash y)
{ /* copy x to y: y=x */
int i,nx,ny;
mr_small *gx,*gy;
if (x==y || y==NULL) return;
if (x==NULL)
{
zero(y);
return;
}
#ifdef MR_FLASH
ny=mr_lent(y);
nx=mr_lent(x);
#else
ny=(y->len&(MR_OBITS));
nx=(x->len&(MR_OBITS));
#endif
gx=x->w;
gy=y->w;
for (i=nx;i<ny;i++)
gy[i]=0;
for (i=0;i<nx;i++)
gy[i]=gx[i];
y->len=x->len;
}
void negify(flash x,flash y)
{ /* negate a big/flash variable: y=-x */
copy(x,y);
if (y->len!=0) y->len^=MR_MSBIT;
}
void absol(flash x,flash y)
{ /* y=abs(x) */
copy(x,y);
y->len&=MR_OBITS;
}
BOOL mr_notint(flash x)
{ /* returns TRUE if x is Flash */
#ifdef MR_FLASH
if ((((x->len&(MR_OBITS))>>(MR_BTS))&(MR_MSK))!=0) return TRUE;
#endif
return FALSE;
}
void mr_shift(_MIPD_ big x,int n,big w)
{ /* set w=x.(mr_base^n) by shifting */
mr_lentype s;
int i,bl;
mr_small *gw=w->w;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return;
copy(x,w);
if (w->len==0 || n==0) return;
MR_IN(33)
if (mr_notint(w)) mr_berror(_MIPP_ MR_ERR_INT_OP);
s=(w->len&(MR_MSBIT));
bl=(int)(w->len&(MR_OBITS))+n;
if (bl<=0)
{
zero(w);
MR_OUT
return;
}
if (bl>mr_mip->nib && mr_mip->check) mr_berror(_MIPP_ MR_ERR_OVERFLOW);
if (mr_mip->ERNUM)
{
MR_OUT
return;
}
if (n>0)
{
for (i=bl-1;i>=n;i--)
gw[i]=gw[i-n];
for (i=0;i<n;i++)
gw[i]=0;
}
else
{
n=(-n);
for (i=0;i<bl;i++)
gw[i]=gw[i+n];
for (i=0;i<n;i++)
gw[bl+i]=0;
}
w->len=(bl|s);
MR_OUT
}
int size(big x)
{ /* get size of big number; convert to *
* integer - if possible */
int n,m;
mr_lentype s;
if (x==NULL) return 0;
s=(x->len&MR_MSBIT);
m=(int)(x->len&MR_OBITS);
if (m==0) return 0;
if (m==1 && x->w[0]<(mr_small)MR_TOOBIG) n=(int)x->w[0];
else n=MR_TOOBIG;
if (s==MR_MSBIT) return (-n);
return n;
}
int mr_compare(big x,big y)
{ /* compare x and y: =1 if x>y =-1 if x<y *
* =0 if x=y */
int m,n,sig;
mr_lentype sx,sy;
if (x==y) return 0;
sx=(x->len&MR_MSBIT);
sy=(y->len&MR_MSBIT);
if (sx==0) sig=PLUS;
else sig=MINUS;
if (sx!=sy) return sig;
m=(int)(x->len&MR_OBITS);
n=(int)(y->len&MR_OBITS);
if (m>n) return sig;
if (m<n) return -sig;
while (m>0)
{ /* check digit by digit */
m--;
if (x->w[m]>y->w[m]) return sig;
if (x->w[m]<y->w[m]) return -sig;
}
return 0;
}
#ifdef MR_FLASH
void fpack(_MIPD_ big n,big d,flash x)
{ /* create floating-slash number x=n/d from *
* big integer numerator and denominator */
mr_lentype s;
int i,ld,ln;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return;
MR_IN(31)
ld=(int)(d->len&MR_OBITS);
if (ld==0) mr_berror(_MIPP_ MR_ERR_FLASH_OVERFLOW);
if (ld==1 && d->w[0]==1) ld=0;
if (x==d) mr_berror(_MIPP_ MR_ERR_BAD_PARAMETERS);
if (mr_notint(n) || mr_notint(d)) mr_berror(_MIPP_ MR_ERR_INT_OP);
s=(n->len&MR_MSBIT);
ln=(int)(n->len&MR_OBITS);
if (ln==1 && n->w[0]==1) ln=0;
if ((ld+ln>mr_mip->nib) && (mr_mip->check || ld+ln>2*mr_mip->nib))
mr_berror(_MIPP_ MR_ERR_FLASH_OVERFLOW);
if (mr_mip->ERNUM)
{
MR_OUT
return;
}
copy(n,x);
if (n->len==0)
{
MR_OUT
return;
}
s^=(d->len&MR_MSBIT);
if (ld==0)
{
if (x->len!=0) x->len|=s;
MR_OUT
return;
}
for (i=0;i<ld;i++)
x->w[ln+i]=d->w[i];
x->len=(s|(ln+((mr_lentype)ld<<MR_BTS)));
MR_OUT
}
void numer(_MIPD_ flash x,big y)
{ /* extract numerator of x */
int i,ln,ld;
mr_lentype s,ly;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return;
if (mr_notint(x))
{
s=(x->len&MR_MSBIT);
ly=(x->len&MR_OBITS);
ln=(int)(ly&MR_MSK);
if (ln==0)
{
if(s==MR_MSBIT) convert(_MIPP_ (-1),y);
else convert(_MIPP_ 1,y);
return;
}
ld=(int)((ly>>MR_BTS)&MR_MSK);
if (x!=y)
{
for (i=0;i<ln;i++) y->w[i]=x->w[i];
for (i=ln;i<mr_lent(y);i++) y->w[i]=0;
}
else for (i=0;i<ld;i++) y->w[ln+i]=0;
y->len=(ln|s);
}
else copy(x,y);
}
void denom(_MIPD_ flash x,big y)
{ /* extract denominator of x */
int i,ln,ld;
mr_lentype ly;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return;
if (!mr_notint(x))
{
convert(_MIPP_ 1,y);
return;
}
ly=(x->len&MR_OBITS);
ln=(int)(ly&MR_MSK);
ld=(int)((ly>>MR_BTS)&MR_MSK);
for (i=0;i<ld;i++)
y->w[i]=x->w[ln+i];
if (x==y) for (i=0;i<ln;i++) y->w[ld+i]=0;
else for (i=ld;i<mr_lent(y);i++) y->w[i]=0;
y->len=ld;
}
#endif
unsigned int igcd(unsigned int x,unsigned int y)
{ /* integer GCD, returns GCD of x and y */
unsigned int r;
if (y==0) return x;
while ((r=x%y)!=0)
x=y,y=r;
return y;
}
unsigned long lgcd(unsigned long x,unsigned long y)
{ /* long GCD, returns GCD of x and y */
unsigned long r;
if (y==0) return x;
while ((r=x%y)!=0)
x=y,y=r;
return y;
}
unsigned int isqrt(unsigned int num,unsigned int guess)
{ /* square root of an integer */
unsigned int sqr;
unsigned int oldguess=guess;
if (num==0) return 0;
if (num<4) return 1;
for (;;)
{ /* Newtons iteration */
/* sqr=guess+(((num/guess)-guess)/2); */
sqr=((num/guess)+guess)/2;
if (sqr==guess || sqr==oldguess)
{
if (sqr*sqr>num) sqr--;
return sqr;
}
oldguess=guess;
guess=sqr;
}
}
unsigned long mr_lsqrt(unsigned long num,unsigned long guess)
{ /* square root of a long */
unsigned long sqr;
unsigned long oldguess=guess;
if (num==0) return 0;
if (num<4) return 1;
for (;;)
{ /* Newtons iteration */
/* sqr=guess+(((num/guess)-guess)/2); */
sqr=((num/guess)+guess)/2;
if (sqr==guess || sqr==oldguess)
{
if (sqr*sqr>num) sqr--;
return sqr;
}
oldguess=guess;
guess=sqr;
}
}
mr_small sgcd(mr_small x,mr_small y)
{ /* integer GCD, returns GCD of x and y */
mr_small r;
#ifdef MR_FP
mr_small dres;
#endif
if (y==(mr_small)0) return x;
while ((r=MR_REMAIN(x,y))!=(mr_small)0)
x=y,y=r;
return y;
}
/* routines to support sliding-windows exponentiation *
* in various contexts */
int mr_testbit(_MIPD_ big x,int n)
{ /* return value of n-th bit of big */
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
#ifdef MR_FP
mr_small m,a,dres;
m=mr_shiftbits((mr_small)1,n%mr_mip->lg2b);
a=x->w[n/mr_mip->lg2b];
a=MR_DIV(a,m);
if ((MR_DIV(a,2.0)*2.0) != a) return 1;
#else
if ((x->w[n/mr_mip->lg2b] & ((mr_small)1<<(n%mr_mip->lg2b))) >0) return 1;
#endif
return 0;
}
void mr_addbit(_MIPD_ big x,int n)
{ /* add 2^n to positive x - where you know that bit is zero. Use with care! */
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
mr_lentype m=n/mr_mip->lg2b;
x->w[m]+=mr_shiftbits((mr_small)1,n%mr_mip->lg2b);
if (x->len<m+1) x->len=m+1;
}
int recode(_MIPD_ big e,int t,int w,int i)
{ /* recode exponent for Comb method */
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
int j,r;
r=0;
for (j=w-1;j>=0;j--)
{
r<<=1;
r|=mr_testbit(_MIPP_ e,i+j*t);
}
return r;
}
int mr_window(_MIPD_ big x,int i,int *nbs,int * nzs,int window_size)
{ /* returns sliding window value, max. of 5 bits, *
* (Note from version 5.23 this can be changed by *
* setting parameter window_size. This can be *
* a useful space-saver) starting at i-th bit of big x. *
* nbs is number of bits processed, nzs is the number of *
* additional trailing zeros detected. Returns valid bit *
* pattern 1x..x1 with no two adjacent 0's. So 10101 *
* will return 21 with nbs=5, nzs=0. 11001 will return 3,*
* with nbs=2, nzs=2, having stopped after the first 11..*/
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
int j,r,w;
w=window_size;
/* check for leading 0 bit */
*nbs=1;
*nzs=0;
if (!mr_testbit(_MIPP_ x,i)) return 0;
/* adjust window size if not enough bits left */
if (i-w+1<0) w=i+1;
r=1;
for (j=i-1;j>i-w;j--)
{ /* accumulate bits. Abort if two 0's in a row */
(*nbs)++;
r*=2;
if (mr_testbit(_MIPP_ x,j)) r+=1;
if (r%4==0)
{ /* oops - too many zeros - shorten window */
r/=4;
*nbs-=2;
*nzs=2;
break;
}
}
if (r%2==0)
{ /* remove trailing 0 */
r/=2;
*nzs=1;
(*nbs)--;
}
return r;
}
int mr_window2(_MIPD_ big x,big y,int i,int *nbs,int *nzs)
{ /* two bit window for double exponentiation */
int r,w;
BOOL a,b,c,d;
w=2;
*nbs=1;
*nzs=0;
/* check for two leading 0's */
a=mr_testbit(_MIPP_ x,i); b=mr_testbit(_MIPP_ y,i);
if (!a && !b) return 0;
if (i<1) w=1;
if (a)
{
if (b) r=3;
else r=2;
}
else r=1;
if (w==1) return r;
c=mr_testbit(_MIPP_ x,i-1); d=mr_testbit(_MIPP_ y,i-1);
if (!c && !d)
{
*nzs=1;
return r;
}
*nbs=2;
r*=4;
if (c)
{
if (d) r+=3;
else r+=2;
}
else r+=1;
return r;
}
int mr_naf_window(_MIPD_ big x,big x3,int i,int *nbs,int *nzs,int store)
{ /* returns sliding window value, using fractional windows *
* where "store" precomputed values are precalulated and *
* stored. Scanning starts at the i-th bit of x. nbs is *
* the number of bits processed. nzs is number of *
* additional trailing zeros detected. x and x3 (which is *
* 3*x) are combined to produce the NAF (non-adjacent *
* form). So if x=11011(27) and x3 is 1010001, the LSB is *
* ignored and the value 100T0T (32-4-1=27) processed, *
* where T is -1. Note x.P = (3x-x)/2.P. This value will *
* return +7, with nbs=4 and nzs=1, having stopped after *
* the first 4 bits. If it goes too far, it must backtrack *
* Note in an NAF non-zero elements are never side by side, *
* so 10T10T won't happen. NOTE: return value n zero or *
* odd, -21 <= n <= +21 */
int nb,j,r,biggest;
/* get first bit */
nb=mr_testbit(_MIPP_ x3,i)-mr_testbit(_MIPP_ x,i);
*nbs=1;
*nzs=0;
if (nb==0) return 0;
if (i==0) return nb;
biggest=2*store-1;
if (nb>0) r=1;
else r=(-1);
for (j=i-1;j>0;j--)
{
(*nbs)++;
r*=2;
nb=mr_testbit(_MIPP_ x3,j)-mr_testbit(_MIPP_ x,j);
if (nb>0) r+=1;
if (nb<0) r-=1;
if (abs(r)>biggest) break;
}
if (r%2!=0 && j!=0)
{ /* backtrack */
if (nb>0) r=(r-1)/2;
if (nb<0) r=(r+1)/2;
(*nbs)--;
}
while (r%2==0)
{ /* remove trailing zeros */
r/=2;
(*nzs)++;
(*nbs)--;
}
return r;
}
/* Some general purpose elliptic curve stuff */
BOOL point_at_infinity(epoint *p)
{
if (p==NULL) return FALSE;
if (p->marker==MR_EPOINT_INFINITY) return TRUE;
return FALSE;
}
#ifndef MR_STATIC
epoint* epoint_init(_MIPDO_ )
{ /* initialise epoint to general point at infinity. */
epoint *p;
char *ptr;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return NULL;
MR_IN(96)
/* Create space for whole structure in one heap access */
p=(epoint *)mr_alloc(_MIPP_ mr_esize(mr_mip->nib-1),1);
ptr=(char *)p+sizeof(epoint);
p->X=mirvar_mem(_MIPP_ ptr,0);
p->Y=mirvar_mem(_MIPP_ ptr,1);
#ifndef MR_AFFINE_ONLY
p->Z=mirvar_mem(_MIPP_ ptr,2);
#endif
p->marker=MR_EPOINT_INFINITY;
MR_OUT
return p;
}
#endif
epoint* epoint_init_mem_variable(_MIPD_ char *mem,int index,int sz)
{
epoint *p;
char *ptr;
int offset,r;
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
offset=0;
r=(unsigned long)mem%MR_SL;
if (r>0) offset=MR_SL-r;
#ifndef MR_AFFINE_ONLY
if (mr_mip->coord==MR_AFFINE)
p=(epoint *)&mem[offset+index*mr_esize_a(sz)];
else
#endif
p=(epoint *)&mem[offset+index*mr_esize(sz)];
ptr=(char *)p+sizeof(epoint);
p->X=mirvar_mem_variable(ptr,0,sz);
p->Y=mirvar_mem_variable(ptr,1,sz);
#ifndef MR_AFFINE_ONLY
if (mr_mip->coord!=MR_AFFINE) p->Z=mirvar_mem_variable(ptr,2,sz);
#endif
p->marker=MR_EPOINT_INFINITY;
return p;
}
epoint* epoint_init_mem(_MIPD_ char *mem,int index)
{
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mr_mip->ERNUM) return NULL;
return epoint_init_mem_variable(_MIPP_ mem,index,mr_mip->nib-1);
}
#ifndef MR_STATIC
/* allocate space for a number of epoints from the heap */
void *ecp_memalloc(_MIPD_ int num)
{
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
#ifndef MR_AFFINE_ONLY
if (mr_mip->coord==MR_AFFINE)
return mr_alloc(_MIPP_ mr_ecp_reserve_a(num,mr_mip->nib-1),1);
else
#endif
return mr_alloc(_MIPP_ mr_ecp_reserve(num,mr_mip->nib-1),1);
}
#endif
void ecp_memkill(_MIPD_ char *mem,int num)
{
#ifdef MR_OS_THREADS
miracl *mr_mip=get_mip();
#endif
if (mem==NULL) return;
#ifndef MR_AFFINE_ONLY
if (mr_mip->coord==MR_AFFINE)
memset(mem,0,mr_ecp_reserve_a(num,mr_mip->nib-1));
else
#endif
memset(mem,0,mr_ecp_reserve(num,mr_mip->nib-1));
#ifndef MR_STATIC
mr_free(mem);
#endif
}
#ifndef MR_STATIC
void epoint_free(epoint *p)
{ /* clean up point */
if (p==NULL) return;
zero(p->X);
zero(p->Y);
#ifndef MR_AFFINE_ONLY
if (p->marker==MR_EPOINT_GENERAL) zero(p->Z);
#endif
mr_free(p);
}
#endif
|
MMultiple3.c | /* Hi, everybody!
* =====================================================================================
*
* Filename: MMmultiple.c
*
* Description: Do Matrix Multiplication C = A x B with A and B blocks generated by
* mkmatrices.c.
*
* Version: 1.0
* Created: 09/21/2016 22:53:31
* Revision: none
* Compiler: gcc
*
* Author: Xiukun Hu
* Organization: University of Wyoming, Department of Mathematics
*
* =====================================================================================
*/
#ifdef _OPENMP
#include <omp.h>
#else
#define omp_get_num_threads() 1;
#define omp_get_thread_num() 0;
#define omp_get_max_threads() 1;
#endif
#include <stdio.h>
#include <stdlib.h>
#include "matrices.h"
#ifndef WIDTH
#define WIDTH 30
#endif
void ClearMatrix( double** matrix, int nrows, int ncols ) {
int i, j;
for ( i = 0 ; i < nrows ; i++ )
for ( j = 0 ; j < ncols ; j++ )
matrix[i][j] = 0;
}
int main(){
/* Local declarations */
const int NTH = omp_get_max_threads();
double tsc[NTH];
double tsc1;
double t1; /* Time keeper */
double t2; /* Time keeper */
double tt1;
double tt;
double tio1; /* Private I/O time keeper */
double tio = 0; /* Private I/O time keeper */
double tc1; /* Compute time */
double tc = 0; /* Compute time */
double tw1; /* Wate time */
double tw = 0; /* Wate time */
double temp; /* Private pointer for saving results */
double mrun(); /* Get timing information */
double **ablock[2]; /* Pointer to one block of A */
double **bblock[2]; /* Pointer to one block of B */
double **cblock[2]; /* Pointer to one block of C */
int acols = 0; /* Block columns in A */
int arows = 0; /* Block rows in A */
int bcols = 0; /* Block columns in B */
int brows = 0; /* Block rows in B */
int ccols = 0; /* Block columns in C */
int crows = 0; /* Block rows in C */
int blk_cols = 0; /* Columns in a block */
int blk_rows = 0; /* Rows in a block */
int mopt_a = 0; /* How to allocate space in A blocks */
int mopt_b = 1; /* How to allocate space in B blocks */
int mopt_c = 1; /* How to allocate space in C blocks */
int colleft; /* Block columns residue by WIDTH */
int i = 0; /* Loop index */
int j = 0; /* Loop index */
int k = 0; /* Loop index */
int I,J,K; /* Loop index */
int iplus; /* Loop index */
int jplus; /* Loop index */
int kplus; /* Loop index */
int tog = 0; /* Toggle for a&bblock */
int ctog = 0; /* Toggle for cblock */
int TID; /* Thread ID */
int ar; /* ablock row index */
int ac; /* ablock col index */
int rc;
int nI;
int nThreads;
char c = ' '; /* Input character */
tt1 = mrun();
/* Get matrix information from disk */
matrix_info_read( &blk_rows, &blk_cols,
&arows, &acols,
&brows, &bcols,
&crows, &ccols );
/* Preprocess message */
colleft = blk_cols % WIDTH; /* Colunms left for each block over WIDTH */
nI = blk_rows * (blk_cols / WIDTH); /* Number of iterations for each block */
rc = blk_cols - colleft; /* The starting index of the residue column */
/* Allocate 6 block matrices (two each for A, B and C) */
ablock[0] = block_allocate( blk_rows, blk_cols, mopt_a );
bblock[0] = block_allocate( blk_rows, blk_cols, mopt_b );
cblock[0] = block_allocate( blk_rows, blk_cols, mopt_c );
ablock[1] = block_allocate( blk_rows, blk_cols, mopt_a );
bblock[1] = block_allocate( blk_rows, blk_cols, mopt_b );
cblock[1] = block_allocate( blk_rows, blk_cols, mopt_c );
ClearMatrix( cblock[0], blk_rows, blk_cols );
ClearMatrix( cblock[1], blk_rows, blk_cols );
/* Enter parallel region */
#pragma omp parallel default(none) \
shared(blk_cols, blk_rows, \
ablock, bblock, cblock, \
mopt_a, mopt_b, mopt_c, \
acols, crows, ccols, \
colleft, nI, nThreads, \
rc, t1, t2, tsc, tsc1) \
firstprivate( tog, ctog, i, j, k, tio, tc, tw ) \
private( TID, I, J, K, iplus, jplus, kplus, temp, ar, ac, tio1, tc1, tw1 )
{
#pragma omp single
{
nThreads = omp_get_num_threads();
t1 = mrun();
}
tc1 = t1;
TID = omp_get_thread_num();
/* Single thread reading the A00 B00 for calculating */
#pragma omp single
{
tio1 = mrun();
tc += tio1 - tc1;
block_readdisk( blk_rows, blk_cols, "A", 0, 0, ablock[0], mopt_a, 0 );
block_readdisk( blk_rows, blk_cols, "B", 0, 0, bblock[0], mopt_a, 0 );
tc1 = mrun();
tio += tc1 - tio1;
//printf("Thread %d reading A00 and B00 in %les\n", TID, tio);
} // single thread reading A00 B00
/* Reading and calculating at the same time */
while ( i < crows ){
/* Get next loop's index i+, j+ and k+ */
kplus = (k+1) % acols;
jplus = (kplus==0)? ((j+1)%ccols) : j;
iplus = (jplus==0 && kplus==0)? i+1 : i;
/* Single thread reading A_i+k+ & B_k+j+ */
#pragma omp single nowait
{
if ( iplus < crows ) {
tio1 = mrun();
tc += tio1 - tc1;
block_readdisk( blk_rows, blk_cols, "A", iplus, kplus, ablock[1-tog], mopt_a, 0 );
block_readdisk( blk_rows, blk_cols, "B", kplus, jplus, bblock[1-tog], mopt_b, 0 );
tc1 = mrun();
tio += tc1 - tio1;
}
}
#pragma omp single nowait
if ( i == 0 && j == 0 && k == 0 )
tsc1 = mrun();
/* Multithreads calculating A_ik x B_kj */
#pragma omp for nowait schedule(dynamic)
for ( I = 0 ; I < nI; I++ ) {
ar = I % blk_rows, ac = (I / blk_rows) * WIDTH;
for ( K = 0 ; K < blk_cols ; K++ ) {
temp = 0;
for ( J = 0 ; J < WIDTH ; J++ )
temp += ablock[tog][ar][ac+J] * bblock[tog][ac+J][K];
#pragma omp atomic update
cblock[ctog][ar][K] += temp;
}
}
/* Multithreads taking care of the residue */
if ( colleft ) {
#pragma omp for nowait schedule(dynamic)
for ( ar = 0 ; ar < blk_rows ; ar++ ) {
ac = rc;
for ( K = 0 ; K < blk_cols ; K++ ) {
temp = 0;
for ( J = 0 ; J < colleft ; J++ )
temp += ablock[tog][ar][ac+J] * bblock[tog][ac+J][K];
#pragma omp atomic update
cblock[ctog][ar][K] += temp;
}
}
}
tw1 = mrun();
tc += tw1 - tc1;
if ( i == 0 && j == 0 && k == 0 )
tsc[TID] = mrun();
/* Barrier for reading A_i+k+ B_k+j+ and calculating A_ik x B_kj */
#pragma omp barrier
tc1 = mrun();
tw += tc1 - tw1;
/* Every thread check but single thread write to disk */
if ( kplus==0 ) {
#pragma omp single nowait
{
tio1 = mrun();
tc += tio1 - tc1;
block_write2disk( blk_rows, blk_cols, "C", i, j, cblock[ctog][0] );
ClearMatrix( cblock[ctog], blk_rows, blk_cols );
tc1 = mrun();
tio += tc1 - tio1;
} // Write cblock: OMP single nowait
ctog = 1-ctog; // Every thread change ctog if k+ = 0.
}
/* Every thread change to another ablock and bblock and update index */
tog = 1 - tog;
i = iplus;
j = jplus;
k = kplus;
} /* While loop for blocks */
//printf("Thread %d, compute for %les, io for %les, wait for %le\n", TID, tc, tio, tw);
#pragma omp master
{
t2 = mrun() - t1;
}
}// End of parallel region
//printf("Time in parallel region: %les\n", t2);
for ( i = 1 ; i < nThreads ; i++ )
tsc[0] = (tsc[0] < tsc[i])? tsc[i] : tsc[0];
tt = mrun() - tt1;
/* Print matrix info */
printf("\n|step3 code|\tblk:%5dx%5d, matrix:%2dx%2d, %2dThreads\n",blk_rows,blk_cols,arows,acols,nThreads);
/* Print time */
printf("Total time: %les\n", tt);
printf("--------------------------------------------------------\n");
//printf("Time for multiplying A00 x B00 in parallel: %le\n", tsc[0]-tsc1);
/* End */
return 0;
}
|
csrmm_task.h | // Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT license.
#pragma once
#include <malloc.h>
#include <cstring>
#include "tasks/task.h"
namespace anon {
// scatter from src to dest using sinfo
template<typename T>
void scatter(T *dest, T *src, flash::StrideInfo sinfo) {
GLOG_DEBUG("scatter sinfo:lps=", sinfo.len_per_stride,
", nstrides=", sinfo.n_strides, ", stride=", sinfo.stride);
FBLAS_UINT n_scatters = sinfo.n_strides;
for (FBLAS_UINT i = 0; i < n_scatters; i++) {
memcpy((char *) dest + (sinfo.stride * i),
(char *) src + (sinfo.len_per_stride * i), sinfo.len_per_stride);
}
}
// gather from src to dest using sinfo
template<typename T>
void gather(T *dest, T *src, flash::StrideInfo sinfo) {
GLOG_DEBUG("gather sinfo:lps=", sinfo.len_per_stride,
", nstrides=", sinfo.n_strides, ", stride=", sinfo.stride);
FBLAS_UINT n_gathers = sinfo.n_strides;
for (FBLAS_UINT i = 0; i < n_gathers; i++) {
memcpy((char *) dest + (sinfo.len_per_stride * i),
(char *) src + (sinfo.stride * i), sinfo.len_per_stride);
}
}
} // namespace anon
namespace flash {
class CsrmmRmTask : public BaseTask {
MKL_INT * ia;
flash_ptr<MKL_INT> ja;
flash_ptr<FPTYPE> a;
flash_ptr<FPTYPE> b;
flash_ptr<FPTYPE> c;
FBLAS_UINT a_nrows;
FBLAS_UINT a_ncols;
FBLAS_UINT b_ncols;
FBLAS_UINT nnzs;
FPTYPE alpha;
FPTYPE beta;
public:
CsrmmRmTask(const FBLAS_UINT start_row, const FBLAS_UINT start_col,
const FBLAS_UINT a_blk_size, const FBLAS_UINT b_blk_size,
const FBLAS_UINT a_rows, const FBLAS_UINT a_cols,
const FBLAS_UINT b_cols, const MKL_INT *ia,
flash_ptr<MKL_INT> ja, flash_ptr<FPTYPE> a, flash_ptr<FPTYPE> b,
flash_ptr<FPTYPE> c, const FPTYPE alpha, const FPTYPE beta)
: ja(ja), a(a), b(b), c(c) {
this->alpha = alpha;
this->beta = beta;
FBLAS_UINT start_offset = ia[start_row] - ia[0];
this->ja = ja + start_offset;
this->a = a + start_offset;
this->a_nrows = std::min((FBLAS_UINT)(a_rows - start_row), a_blk_size);
this->ia = new MKL_INT[a_nrows + 1]; // free in this->execute()
#pragma omp parallel for schedule(static, CSRMM_RM_MKL_NTHREADS)
for (FBLAS_UINT i = 0; i <= a_nrows; i++) {
this->ia[i] = ia[start_row + i] - ia[start_row];
}
this->a_ncols = a_cols;
this->b = b + start_col;
this->b_ncols = std::min(b_cols - start_col, b_blk_size);
this->c = c + ((start_row * b_cols) + start_col);
StrideInfo sinfo;
nnzs = (ia[start_row + this->a_nrows] - ia[start_row]);
sinfo.len_per_stride = nnzs * sizeof(FBLAS_UINT);
sinfo.stride = 0;
sinfo.n_strides = 1;
this->add_read(this->ja, sinfo);
sinfo.len_per_stride = nnzs * sizeof(FPTYPE);
this->add_read(this->a, sinfo);
sinfo.len_per_stride = b_ncols * sizeof(FPTYPE);
sinfo.n_strides = (this->a_ncols - 1);
sinfo.stride = b_cols * sizeof(FPTYPE);
this->add_read(this->b, sinfo);
sinfo.len_per_stride = b_ncols * sizeof(FPTYPE);
sinfo.n_strides = (this->a_nrows - 1);
sinfo.stride = b_cols * sizeof(FPTYPE);
if (beta != 0.0f) {
this->add_read(this->c, sinfo);
}
this->add_write(this->c, sinfo);
}
void execute() {
mkl_set_num_threads_local(CSRMM_RM_MKL_NTHREADS);
FPTYPE * a_ptr = (FPTYPE *) this->in_mem_ptrs[this->a];
FPTYPE * b_ptr = (FPTYPE *) this->in_mem_ptrs[this->b];
FPTYPE * c_ptr = (FPTYPE *) this->in_mem_ptrs[this->c];
MKL_INT *ja_ptr = (MKL_INT *) this->in_mem_ptrs[this->ja];
GLOG_ASSERT(a_ptr != nullptr, "nullptr for a");
GLOG_ASSERT(ja_ptr != nullptr, "nullptr for ja");
GLOG_ASSERT(b_ptr != nullptr, "nullptr for b");
GLOG_ASSERT(c_ptr != nullptr, "nullptr for c");
// prepare csrmm parameters
CHAR trans_a = 'N';
MKL_INT m = (MKL_INT) this->a_nrows;
MKL_INT n = (MKL_INT) this->b_ncols;
MKL_INT k = (MKL_INT) this->a_ncols;
CHAR matdescra[5] = {'G', 'X', 'X', 'C', 'X'};
// execute csrmm
mkl_csrmm(&trans_a, &m, &n, &k, &this->alpha, &matdescra[0], a_ptr,
ja_ptr, this->ia, this->ia + 1, b_ptr, &n, &this->beta, c_ptr,
&n);
// cleanup
delete[] this->ia;
}
FBLAS_UINT size() {
FBLAS_UINT a_size = nnzs * (sizeof(FPTYPE) + sizeof(MKL_INT));
FBLAS_UINT b_size = this->a_ncols * this->b_ncols * sizeof(FPTYPE);
FBLAS_UINT c_size = this->a_nrows * this->b_ncols * sizeof(FPTYPE);
return a_size + b_size + c_size;
}
};
class SimpleCsrmmRmTask : public BaseTask {
SparseBlock A_blk;
flash_ptr<FPTYPE> b;
flash_ptr<FPTYPE> c;
FBLAS_UINT b_ncols;
FBLAS_UINT nnzs;
FPTYPE alpha;
FPTYPE beta;
FBLAS_UINT idx_delta, val_delta;
FBLAS_UINT idx_len, val_len;
public:
SimpleCsrmmRmTask(const SparseBlock &A_block, flash_ptr<FPTYPE> b,
flash_ptr<FPTYPE> c, FBLAS_UINT b_start_col,
FBLAS_UINT b_blk_size, FBLAS_UINT b_cols, FPTYPE alpha,
FPTYPE beta) {
this->A_blk = A_block;
this->alpha = alpha;
this->beta = beta;
this->b = b + b_start_col;
this->b_ncols = std::min(b_cols - b_start_col, b_blk_size);
this->c = c + ((A_blk.start * b_cols) + b_start_col);
this->nnzs = (A_blk.offs[A_blk.blk_size] - A_blk.offs[0]);
StrideInfo sinfo = {1, 1, 1};
// round up/down to get aligned access
FBLAS_UINT idx_start_b = ROUND_DOWN(A_blk.idxs_fptr.foffset, SECTOR_LEN);
FBLAS_UINT idx_end_b = ROUND_UP(
A_blk.idxs_fptr.foffset + nnzs * sizeof(MKL_INT), SECTOR_LEN);
this->idx_delta = A_blk.idxs_fptr.foffset - idx_start_b;
this->idx_len = idx_end_b - idx_start_b;
A_blk.idxs_fptr.foffset = idx_start_b;
sinfo.len_per_stride = this->idx_len;
this->add_read(A_blk.idxs_fptr, sinfo);
FBLAS_UINT val_start_b = ROUND_DOWN(A_blk.vals_fptr.foffset, SECTOR_LEN);
FBLAS_UINT val_end_b =
ROUND_UP(A_blk.vals_fptr.foffset + nnzs * sizeof(FPTYPE), SECTOR_LEN);
this->val_delta = A_blk.vals_fptr.foffset - val_start_b;
this->val_len = val_end_b - val_start_b;
A_blk.vals_fptr.foffset = val_start_b;
sinfo.len_per_stride = this->val_len;
this->add_read(A_blk.vals_fptr, sinfo);
// if (full B | only a block of B) is to be used
bool use_full = (b_start_col == 0 && this->b_ncols == b_cols);
if (use_full) {
GLOG_INFO("Using complete B matrix");
sinfo.len_per_stride = A_blk.ncols * this->b_ncols * sizeof(FPTYPE);
sinfo.n_strides = 1;
this->add_read(this->b, sinfo);
// prepare sinfo for `c`
sinfo.len_per_stride = A_blk.blk_size * this->b_ncols * sizeof(FPTYPE);
} else {
sinfo.n_strides = A_blk.ncols;
sinfo.len_per_stride = b_ncols * sizeof(FPTYPE);
sinfo.stride = b_cols * sizeof(FPTYPE);
this->add_read(this->b, sinfo);
sinfo.n_strides = A_blk.blk_size;
}
if (beta != 0.0f) {
this->add_read(this->c, sinfo);
}
this->add_write(this->c, sinfo);
}
void execute() {
mkl_set_num_threads_local(CSRMM_RM_MKL_NTHREADS);
fill_sparse_block_ptrs(this->in_mem_ptrs, A_blk);
// recover original array
A_blk.idxs_ptr = offset_buf(A_blk.idxs_ptr, this->idx_delta);
A_blk.vals_ptr = offset_buf(A_blk.vals_ptr, this->val_delta);
#ifdef DEBUG
verify_csr_block(A_blk, false);
#endif
FPTYPE *b_ptr = (FPTYPE *) this->in_mem_ptrs[this->b];
FPTYPE *c_ptr = (FPTYPE *) this->in_mem_ptrs[this->c];
GLOG_ASSERT(A_blk.vals_ptr != nullptr, "nullptr for A_blk.vals");
GLOG_ASSERT(A_blk.idxs_ptr != nullptr, "nullptr for A_blk.idxs");
GLOG_ASSERT(b_ptr != nullptr, "nullptr for b");
GLOG_ASSERT(c_ptr != nullptr, "nullptr for c");
// prepare csrmm parameters
CHAR trans_a = 'N';
MKL_INT m = (MKL_INT) A_blk.blk_size;
MKL_INT n = (MKL_INT) this->b_ncols;
MKL_INT k = (MKL_INT) A_blk.ncols;
CHAR matdescra[5] = {'G', 'X', 'X', 'C', 'X'};
// execute csrmm
mkl_csrmm(&trans_a, &m, &n, &k, &this->alpha, &matdescra[0],
A_blk.vals_ptr, A_blk.idxs_ptr, A_blk.offs, A_blk.offs + 1,
b_ptr, &n, &this->beta, c_ptr, &n);
}
// DEPRECATED
FBLAS_UINT size() {
return (1 << 20);
}
};
class SimpleCsrmmCmTask : public BaseTask {
SparseBlock A_blk;
flash_ptr<FPTYPE> b;
flash_ptr<FPTYPE> c;
FBLAS_UINT b_ncols;
FBLAS_UINT nnzs;
FPTYPE alpha;
FPTYPE beta;
public:
SimpleCsrmmCmTask(const SparseBlock &A_block, flash_ptr<FPTYPE> b,
flash_ptr<FPTYPE> c, FBLAS_UINT b_start_col,
FBLAS_UINT b_blk_size, FBLAS_UINT b_cols, FPTYPE alpha,
FPTYPE beta) {
this->A_blk = A_block;
this->alpha = alpha;
this->beta = beta;
this->b = b + (b_start_col * A_blk.ncols);
this->b_ncols = std::min(b_cols - b_start_col, b_blk_size);
this->c = c + ((A_blk.nrows * b_start_col) + A_blk.start);
StrideInfo sinfo = {1, 1, 1};
this->nnzs = (A_blk.offs[A_blk.blk_size] - A_blk.offs[0]);
sinfo.len_per_stride = nnzs * sizeof(MKL_INT);
this->add_read(A_blk.idxs_fptr, sinfo);
sinfo.len_per_stride = nnzs * sizeof(FPTYPE);
this->add_read(A_blk.vals_fptr, sinfo);
sinfo.len_per_stride = A_blk.ncols * this->b_ncols * sizeof(FPTYPE);
sinfo.n_strides = 1;
this->add_read(this->b, sinfo);
sinfo.len_per_stride = A_blk.blk_size * sizeof(FPTYPE);
sinfo.n_strides = this->b_ncols;
sinfo.stride = A_blk.nrows * sizeof(FPTYPE);
if (beta != 0.0f) {
this->add_read(this->c, sinfo);
}
this->add_write(this->c, sinfo);
}
void execute() {
mkl_set_num_threads_local(CSRMM_CM_MKL_NTHREADS);
fill_sparse_block_ptrs(this->in_mem_ptrs, A_blk);
FPTYPE *b_ptr = (FPTYPE *) this->in_mem_ptrs[this->b];
FPTYPE *c_ptr = (FPTYPE *) this->in_mem_ptrs[this->c];
GLOG_ASSERT(A_blk.vals_ptr != nullptr, "nullptr for A_blk.vals");
GLOG_ASSERT(A_blk.idxs_ptr != nullptr, "nullptr for A_blk.idxs");
GLOG_ASSERT(b_ptr != nullptr, "nullptr for b");
GLOG_ASSERT(c_ptr != nullptr, "nullptr for c");
// ja is 0-based indexing => convert to 1-based for easy MKL call
#pragma omp parallel for schedule(static, \
1048576) num_threads(CSRMM_CM_MKL_NTHREADS)
for (FBLAS_UINT j = 0; j < this->nnzs; j++) {
A_blk.idxs_ptr[j]++;
}
#ifdef DEBUG
verify_csr_block(A_blk, true);
#endif
// prepare csrmm parameters
CHAR trans_a = 'N';
MKL_INT m = (MKL_INT) A_blk.blk_size;
MKL_INT n = (MKL_INT) this->b_ncols;
MKL_INT k = (MKL_INT) A_blk.ncols;
// NOTE :: matdescra[3] = 'F' => column major storage & 1-based indexing
CHAR matdescra[5] = {'G', 'X', 'X', 'F', 'X'};
// execute csrmm
mkl_csrmm(&trans_a, &m, &n, &k, &this->alpha, &matdescra[0],
A_blk.vals_ptr, A_blk.idxs_ptr, A_blk.offs, A_blk.offs + 1,
b_ptr, &k, &this->beta, c_ptr, &m);
}
// DEPRECATED
FBLAS_UINT size() {
return (1 << 20);
}
};
class CsrmmCmTask : public BaseTask {
MKL_INT * ia;
flash_ptr<MKL_INT> ja;
flash_ptr<FPTYPE> a;
flash_ptr<FPTYPE> b;
flash_ptr<FPTYPE> c;
FBLAS_UINT a_nrows;
FBLAS_UINT a_ncols;
FBLAS_UINT b_ncols;
FBLAS_UINT nnzs;
FPTYPE alpha;
FPTYPE beta;
public:
CsrmmCmTask(const FBLAS_UINT start_row, const FBLAS_UINT start_col,
const FBLAS_UINT a_blk_size, const FBLAS_UINT b_blk_size,
const FBLAS_UINT a_rows, const FBLAS_UINT a_cols,
const FBLAS_UINT b_cols, const MKL_INT *ia,
flash_ptr<MKL_INT> ja, flash_ptr<FPTYPE> a, flash_ptr<FPTYPE> b,
flash_ptr<FPTYPE> c, const FPTYPE alpha, const FPTYPE beta)
: ja(ja), a(a), b(b), c(c) {
this->alpha = alpha;
this->beta = beta;
FBLAS_UINT start_offset = ia[start_row];
this->ja = ja + start_offset;
this->a = a + start_offset;
this->a_nrows = std::min((FBLAS_UINT)(a_rows - start_row), a_blk_size);
this->ia = new MKL_INT[a_nrows + 1]; // `delete` in this->execute()
this->ia[0] = 1;
for (FBLAS_UINT i = 1; i <= a_nrows; i++) {
this->ia[i] = (ia[start_row + i] - ia[start_row]) + this->ia[0];
}
this->a_ncols = a_cols;
this->b = b + (a_cols * start_col);
this->b_ncols = std::min(b_cols - start_col, b_blk_size);
this->c = c + ((start_col * a_rows) + start_row);
StrideInfo sinfo;
nnzs = (this->ia[this->a_nrows] - this->ia[0]);
GLOG_DEBUG("start_row=", start_row, ", nnzs=", nnzs);
sinfo.len_per_stride = nnzs * sizeof(FBLAS_UINT);
sinfo.stride = 0;
sinfo.n_strides = 1;
this->add_read(this->ja, sinfo);
sinfo.len_per_stride = nnzs * sizeof(FPTYPE);
this->add_read(this->a, sinfo);
sinfo.len_per_stride = this->b_ncols * a_cols * sizeof(FPTYPE);
this->add_read(this->b, sinfo);
sinfo.len_per_stride = this->a_nrows * sizeof(FPTYPE);
sinfo.n_strides = (this->b_ncols);
sinfo.stride = a_rows * sizeof(FPTYPE);
if (beta != 0.0f) {
this->add_read(this->c, sinfo);
}
this->add_write(this->c, sinfo);
}
void execute() {
mkl_set_num_threads_local(CSRMM_CM_MKL_NTHREADS);
FPTYPE * a_ptr = (FPTYPE *) this->in_mem_ptrs[this->a];
FPTYPE * b_ptr = (FPTYPE *) this->in_mem_ptrs[this->b];
FPTYPE * c_ptr = (FPTYPE *) this->in_mem_ptrs[this->c];
MKL_INT *ja_ptr = (MKL_INT *) this->in_mem_ptrs[this->ja];
// ja is 0-based indexing => convert to 1-based for easy MKL call
#pragma omp parallel for schedule(static, CSRMM_CM_MKL_NTHREADS)
for (FBLAS_INT j = 0; j < (FBLAS_INT) this->nnzs; j++) {
ja_ptr[j]++;
}
/*
GLOG_ASSERT(malloc_usable_size(a_ptr) >= nnzs * sizeof(FPTYPE),
"bad malloc for a");
GLOG_ASSERT(malloc_usable_size(ja_ptr) >= nnzs * sizeof(MKL_INT),
"bad malloc for ja");
GLOG_ASSERT(
malloc_usable_size(b_ptr) >= a_ncols * b_ncols * sizeof(FPTYPE),
"bad malloc for b");
GLOG_ASSERT(
malloc_usable_size(c_ptr) >= a_nrows * b_ncols * sizeof(FPTYPE),
"bad malloc for c");
*/
// prepare csrmm parameters
CHAR trans_a = 'N';
MKL_INT m = (MKL_INT) this->a_nrows;
MKL_INT n = (MKL_INT) this->b_ncols;
MKL_INT k = (MKL_INT) this->a_ncols;
// NOTE :: matdescra[3] = 'F' => column major storage & 1-based indexing
CHAR matdescra[5] = {'G', 'X', 'X', 'F', 'X'};
// execute csrmm
mkl_csrmm(&trans_a, &m, &n, &k, &this->alpha, &matdescra[0], a_ptr,
ja_ptr, this->ia, this->ia + 1, b_ptr, &k, &this->beta, c_ptr,
&m);
// cleanup
delete[] this->ia;
}
FBLAS_UINT size() {
FBLAS_UINT a_size = nnzs * (sizeof(FPTYPE) + sizeof(MKL_INT));
FBLAS_UINT b_size = this->a_ncols * this->b_ncols * sizeof(FPTYPE);
FBLAS_UINT c_size = this->a_nrows * this->b_ncols * sizeof(FPTYPE);
return a_size + b_size + c_size;
}
};
class CsrmmCmInMemTask : public BaseTask {
MKL_INT * ia;
flash_ptr<MKL_INT> ja;
flash_ptr<FPTYPE> a;
FPTYPE * b;
FPTYPE * c;
FBLAS_UINT a_nrows;
FBLAS_UINT a_ncols;
FBLAS_UINT b_ncols;
StrideInfo c_sinfo;
FBLAS_UINT nnzs;
FPTYPE alpha;
FPTYPE beta;
public:
CsrmmCmInMemTask(const FBLAS_UINT start_row, const FBLAS_UINT start_col,
const FBLAS_UINT a_blk_size, const FBLAS_UINT b_blk_size,
const FBLAS_UINT a_rows, const FBLAS_UINT a_cols,
const FBLAS_UINT b_cols, const MKL_INT *ia,
flash_ptr<MKL_INT> ja, flash_ptr<FPTYPE> a, FPTYPE *b,
FPTYPE *c, const FPTYPE alpha, const FPTYPE beta) {
this->alpha = alpha;
this->beta = beta;
FBLAS_UINT start_offset = ia[start_row];
this->ja = ja + start_offset;
this->a = a + start_offset;
this->a_nrows = std::min((FBLAS_UINT)(a_rows - start_row), a_blk_size);
this->ia = new MKL_INT[a_nrows + 1];
this->ia[0] = 1;
for (FBLAS_UINT i = 1; i <= a_nrows; i++) {
this->ia[i] = (ia[start_row + i] - ia[start_row]) + this->ia[0];
}
this->a_ncols = a_cols;
this->b_ncols = std::min(b_cols - start_col, b_blk_size);
this->b = b + (a_cols * start_col);
this->c = c + ((start_col * a_rows) + start_row);
this->c_sinfo.len_per_stride = this->a_nrows * sizeof(FPTYPE);
this->c_sinfo.n_strides = this->b_ncols;
this->c_sinfo.stride = a_rows * sizeof(FPTYPE);
StrideInfo sinfo;
nnzs = (this->ia[this->a_nrows] - this->ia[0]);
GLOG_DEBUG("start_row=", start_row, ", nnzs=", nnzs);
sinfo.len_per_stride = nnzs * sizeof(FBLAS_UINT);
sinfo.stride = 0;
sinfo.n_strides = 1;
this->add_read(this->ja, sinfo);
sinfo.len_per_stride = nnzs * sizeof(FPTYPE);
this->add_read(this->a, sinfo);
}
void execute() {
mkl_set_num_threads_local(CSRMM_CM_MKL_NTHREADS);
FPTYPE * a_ptr = (FPTYPE *) this->in_mem_ptrs[this->a];
MKL_INT *ja_ptr = (MKL_INT *) this->in_mem_ptrs[this->ja];
FPTYPE * b_ptr = this->b;
FPTYPE * c_ptr = new FPTYPE[this->a_nrows * this->b_ncols];
if (this->beta != 0.0f) {
GLOG_DEBUG("exec gather");
anon::gather<FPTYPE>(c_ptr, this->c, c_sinfo);
} else {
memset(c_ptr, 0, this->a_nrows * this->b_ncols * sizeof(FPTYPE));
}
// ja is 0-based indexing => convert to 1-based for easy MKL call
#pragma omp parallel for schedule(static, CSRMM_CM_MKL_NTHREADS)
for (FBLAS_INT j = 0; j < (FBLAS_INT) this->nnzs; j++) {
ja_ptr[j]++;
}
GLOG_ASSERT(a_ptr != nullptr, "nullptr for a");
GLOG_ASSERT(ja_ptr != nullptr, "nullptr for ja");
GLOG_ASSERT(b_ptr != nullptr, "nullptr for b");
GLOG_ASSERT(c_ptr != nullptr, "nullptr for c");
// prepare csrmm parameters
CHAR trans_a = 'N';
MKL_INT m = (MKL_INT) this->a_nrows;
MKL_INT n = (MKL_INT) this->b_ncols;
MKL_INT k = (MKL_INT) this->a_ncols;
// NOTE :: matdescra[3] = 'F' => column major storage & 1-based indexing
CHAR matdescra[5] = {'G', 'X', 'X', 'F', 'X'};
// execute csrmm
mkl_csrmm(&trans_a, &m, &n, &k, &this->alpha, &matdescra[0], a_ptr,
ja_ptr, this->ia, this->ia + 1, b_ptr, &k, &this->beta, c_ptr,
&m);
anon::scatter<FPTYPE>(this->c, c_ptr, c_sinfo);
// cleanup
delete[] this->ia;
delete[] c_ptr;
}
FBLAS_UINT size() {
FBLAS_UINT a_size = nnzs * (sizeof(FPTYPE) + sizeof(MKL_INT)) +
(this->a_nrows * sizeof(MKL_INT));
FBLAS_UINT temp_c_size = this->a_nrows * this->b_ncols * sizeof(FPTYPE);
return a_size + temp_c_size;
}
};
class CsrmmRmInMemTask : public BaseTask {
MKL_INT * ia;
flash_ptr<MKL_INT> ja;
flash_ptr<FPTYPE> a;
FPTYPE * b;
FPTYPE * c;
FBLAS_UINT a_nrows;
FBLAS_UINT a_ncols;
FBLAS_UINT b_ncols;
StrideInfo b_sinfo;
StrideInfo c_sinfo;
FBLAS_UINT nnzs;
FPTYPE alpha;
FPTYPE beta;
bool use_orig = false;
public:
CsrmmRmInMemTask(const FBLAS_UINT start_row, const FBLAS_UINT start_col,
const FBLAS_UINT a_blk_size, const FBLAS_UINT b_blk_size,
const FBLAS_UINT a_rows, const FBLAS_UINT a_cols,
const FBLAS_UINT b_cols, const MKL_INT *ia,
flash_ptr<MKL_INT> ja, flash_ptr<FPTYPE> a, FPTYPE *b,
FPTYPE *c, const FPTYPE alpha, const FPTYPE beta) {
GLOG_DEBUG("const params:start_row=", start_row,
", start_col=", start_col, ", a_blk_size=", a_blk_size,
", b_blk_size=", b_blk_size, ", a_rows=", a_rows,
", a_cols=", a_cols, ", b_cols=", b_cols);
this->alpha = alpha;
this->beta = beta;
FBLAS_UINT start_offset = ia[start_row];
this->ja = ja + start_offset;
this->a = a + start_offset;
this->a_nrows = std::min((FBLAS_UINT)(a_rows - start_row), a_blk_size);
this->ia = new MKL_INT[a_nrows + 1];
this->ia[0] = 0;
for (FBLAS_UINT i = 1; i <= a_nrows; i++) {
this->ia[i] = (ia[start_row + i] - ia[start_row]);
}
this->a_ncols = a_cols;
this->b_ncols = std::min(b_cols - start_col, b_blk_size);
// use original B if using all of it
if (start_col == 0 && this->b_ncols == b_cols) {
GLOG_DEBUG("directly using C for output");
this->use_orig = true;
}
this->b = b + start_col;
this->c = c + ((start_row * b_cols) + start_col);
this->c_sinfo.len_per_stride = this->b_ncols * sizeof(FPTYPE);
this->c_sinfo.n_strides = this->a_nrows;
this->c_sinfo.stride = b_cols * sizeof(FPTYPE);
this->b_sinfo.len_per_stride = this->b_ncols * sizeof(FPTYPE);
this->b_sinfo.n_strides = a_cols;
this->b_sinfo.stride = b_cols * sizeof(FPTYPE);
StrideInfo sinfo;
this->nnzs = (this->ia[this->a_nrows] - this->ia[0]);
GLOG_DEBUG("start_row=", start_row, ", nnzs=", nnzs);
sinfo.len_per_stride = nnzs * sizeof(FBLAS_UINT);
sinfo.stride = 0;
sinfo.n_strides = 1;
this->add_read(this->ja, sinfo);
sinfo.len_per_stride = nnzs * sizeof(FPTYPE);
this->add_read(this->a, sinfo);
}
void execute() {
// GLOG_WARN("using original B and C as direct input/output arrays");
mkl_set_num_threads_local(CSRMM_RM_MKL_NTHREADS);
FPTYPE * a_ptr = (FPTYPE *) this->in_mem_ptrs[this->a];
MKL_INT *ja_ptr = (MKL_INT *) this->in_mem_ptrs[this->ja];
FPTYPE * b_ptr = nullptr;
FPTYPE * c_ptr = nullptr;
// allocate & gather/scatter only if not working on original B & C
if (!this->use_orig) {
b_ptr = new FPTYPE[this->a_ncols * this->b_ncols];
anon::gather<FPTYPE>(b_ptr, this->b, this->b_sinfo);
c_ptr = new FPTYPE[this->a_nrows * this->b_ncols];
if (this->beta != 0.0f) {
anon::gather<FPTYPE>(c_ptr, this->c, this->c_sinfo);
} else {
memset(c_ptr, 0, this->a_nrows * this->b_ncols * sizeof(FPTYPE));
}
} else {
b_ptr = this->b;
c_ptr = this->c;
}
GLOG_ASSERT(malloc_usable_size(a_ptr) >= this->nnzs * sizeof(FPTYPE),
"bad alloc for a_ptr");
GLOG_ASSERT(malloc_usable_size(ja_ptr) >= this->nnzs * sizeof(MKL_INT),
"bad alloc for ja_ptr");
if (!this->use_orig) {
GLOG_ASSERT(malloc_usable_size(b_ptr) >=
this->a_ncols * this->b_ncols * sizeof(FPTYPE),
"bad alloc for b_ptr");
GLOG_ASSERT(malloc_usable_size(c_ptr) >=
this->a_nrows * this->b_ncols * sizeof(FPTYPE),
"bad alloc for c_ptr, expected=");
}
// prepare csrmm parameters
CHAR trans_a = 'N';
MKL_INT m = (MKL_INT) this->a_nrows;
MKL_INT n = (MKL_INT) this->b_ncols;
MKL_INT k = (MKL_INT) this->a_ncols;
CHAR matdescra[5] = {'G', 'X', 'X', 'C', 'X'};
GLOG_DEBUG("mkl_in_params:m=", m, ", n=", n, ", k=", k);
// execute csrmm
mkl_csrmm(&trans_a, &m, &n, &k, &this->alpha, &matdescra[0], a_ptr,
ja_ptr, this->ia, this->ia + 1, this->b, &n, &this->beta,
this->c, &n);
// write results out and delete temp outputs
if (!this->use_orig) {
anon::scatter<FPTYPE>(this->c, c_ptr, c_sinfo);
// cleanup
delete[] b_ptr;
delete[] c_ptr;
}
delete[] this->ia;
}
FBLAS_UINT size() {
FBLAS_UINT a_size = this->nnzs * (sizeof(FPTYPE) + sizeof(MKL_INT)) +
(this->a_nrows * sizeof(MKL_INT));
// If not using original B and C matrices, then we need temporary copies
if (!this->use_orig) {
return (this->a_ncols * this->b_ncols * sizeof(FPTYPE)) +
(this->a_nrows * this->b_ncols * sizeof(FPTYPE)) + a_size;
} else {
return a_size;
}
}
};
} // namespace flash
|
pngquant.c | /* pngquant.c - quantize the colors in an alphamap down to a specified number
**
** © 2009-2019 by Kornel Lesiński.
** © 1989, 1991 by Jef Poskanzer.
** © 1997-2002 by Greg Roelofs; based on an idea by Stefan Schneider.
**
** See COPYRIGHT file for license.
*/
char *PNGQUANT_USAGE = "\
usage: pngquant [options] [ncolors] -- pngfile [pngfile ...]\n\
pngquant [options] [ncolors] - >stdout <stdin\n\n\
options:\n\
--force overwrite existing output files (synonym: -f)\n\
--skip-if-larger only save converted files if they're smaller than original\n\
--output file destination file path to use instead of --ext (synonym: -o)\n\
--ext new.png set custom suffix/extension for output filenames\n\
--quality min-max don't save below min, use fewer colors below max (0-100)\n\
--speed N speed/quality trade-off. 1=slow, 4=default, 11=fast & rough\n\
--nofs disable Floyd-Steinberg dithering\n\
--posterize N output lower-precision color (e.g. for ARGB4444 output)\n\
--strip remove optional metadata (default on Mac)\n\
--verbose print status messages (synonym: -v)\n\
\n\
Quantizes one or more 32-bit RGBA PNGs to 8-bit (or smaller) RGBA-palette.\n\
The output filename is the same as the input name except that\n\
it ends in \"-fs8.png\", \"-or8.png\" or your custom extension (unless the\n\
input is stdin, in which case the quantized image will go to stdout).\n\
If you pass the special output path \"-\" and a single input file, that file\n\
will be processed and the quantized image will go to stdout.\n\
The default behavior if the output file exists is to skip the conversion;\n\
use --force to overwrite. See man page for full list of options.\n";
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdarg.h>
#include <stdbool.h>
#include <math.h>
#if defined(_WIN32) || defined(WIN32) || defined(__WIN32__)
#include <fcntl.h> /* O_BINARY */
#include <io.h> /* setmode() */
#include <locale.h> /* UTF-8 locale */
#else
#include <unistd.h>
#endif
#ifdef _OPENMP
#include <omp.h>
#else
#define omp_get_max_threads() 1
#define omp_get_thread_num() 0
#endif
#include "rwpng.h" /* typedefs, common macros, public prototypes */
#include "libimagequant.h" /* if it fails here, run: git submodule update or add -Ilib to compiler flags */
#include "pngquant_opts.h"
char *PNGQUANT_VERSION = LIQ_VERSION_STRING " (January 2022)";
static pngquant_error prepare_output_image(liq_result *result, liq_image *input_image, rwpng_color_transform tag, png8_image *output_image);
static void set_palette(liq_result *result, png8_image *output_image);
static pngquant_error read_image(liq_attr *options, const char *filename, int using_stdin, png24_image *input_image_p, liq_image **liq_image_p, bool keep_input_pixels, bool strip, bool verbose);
static pngquant_error write_image(png8_image *output_image, png24_image *output_image24, const char *outname, struct pngquant_options *options, liq_attr *liq);
static char *add_filename_extension(const char *filename, const char *newext);
static bool file_exists(const char *outname);
static void verbose_printf(liq_attr *liq, struct pngquant_options *context, const char *fmt, ...)
{
if (context->log_callback) {
va_list va;
va_start(va, fmt);
int required_space = vsnprintf(NULL, 0, fmt, va)+1; // +\0
va_end(va);
#if defined(_MSC_VER)
char *buf = malloc(required_space);
#else
char buf[required_space];
#endif
va_start(va, fmt);
vsnprintf(buf, required_space, fmt, va);
va_end(va);
context->log_callback(liq, buf, context->log_callback_user_info);
#if defined(_MSC_VER)
free(buf);
#endif
}
}
static void log_callback(const liq_attr *attr, const char *msg, void* user_info)
{
fprintf(stderr, "%s\n", msg);
}
#ifdef _OPENMP
#define LOG_BUFFER_SIZE 1300
struct buffered_log {
int buf_used;
char buf[LOG_BUFFER_SIZE];
};
static void log_callback_buferred_flush(const liq_attr *attr, void *context)
{
struct buffered_log *log = context;
if (log->buf_used) {
fwrite(log->buf, 1, log->buf_used, stderr);
fflush(stderr);
log->buf_used = 0;
}
}
static void log_callback_buferred(const liq_attr *attr, const char *msg, void* context)
{
struct buffered_log *log = context;
int len = strlen(msg);
if (len > LOG_BUFFER_SIZE-2) len = LOG_BUFFER_SIZE-2;
if (len > LOG_BUFFER_SIZE - log->buf_used - 2) log_callback_buferred_flush(attr, log);
memcpy(&log->buf[log->buf_used], msg, len);
log->buf_used += len+1;
log->buf[log->buf_used-1] = '\n';
log->buf[log->buf_used] = '\0';
}
#endif
void pngquant_internal_print_config(FILE *fd) {
fputs(""
#ifndef NDEBUG
" WARNING: this is a DEBUG (slow) version.\n" /* NDEBUG disables assert() */
#endif
#if !USE_SSE && (defined(__SSE__) || defined(__amd64__) || defined(__X86_64__) || defined(__i386__))
" SSE acceleration disabled.\n"
#endif
#if _OPENMP
" Compiled with OpenMP (multicore support).\n"
#endif
, fd);
fflush(fd);
}
FILE *pngquant_c_stderr() {
return stderr;
}
FILE *pngquant_c_stdout() {
return stdout;
}
static void print_full_version(FILE *fd)
{
fprintf(fd, "pngquant, %s, by Kornel Lesinski, Greg Roelofs.\n", PNGQUANT_VERSION);
pngquant_internal_print_config(fd);
rwpng_version_info(fd);
fputs("\n", fd);
}
static void print_usage(FILE *fd)
{
fputs(PNGQUANT_USAGE, fd);
}
/**
* N = automatic quality, uses limit unless force is set (N-N or 0-N)
* -N = no better than N (same as 0-N)
* N-M = no worse than N, no better than M
* N- = no worse than N, perfect if possible (same as N-100)
*
* where N,M are numbers between 0 (lousy) and 100 (perfect)
*/
static bool parse_quality(const char *quality, liq_attr *options, bool *min_quality_limit)
{
long limit, target;
const char *str = quality; char *end;
long t1 = strtol(str, &end, 10);
if (str == end) return false;
str = end;
if ('\0' == end[0] && t1 < 0) { // quality="-%d"
target = -t1;
limit = 0;
} else if ('\0' == end[0]) { // quality="%d"
target = t1;
limit = t1*9/10;
} else if ('-' == end[0] && '\0' == end[1]) { // quality="%d-"
target = 100;
limit = t1;
} else { // quality="%d-%d"
long t2 = strtol(str, &end, 10);
if (str == end || t2 > 0) return false;
target = -t2;
limit = t1;
}
*min_quality_limit = (limit > 0);
return LIQ_OK == liq_set_quality(options, limit, target);
}
pngquant_error pngquant_main_internal(struct pngquant_options *options, liq_attr *liq);
static pngquant_error pngquant_file_internal(const char *filename, const char *outname, struct pngquant_options *options, liq_attr *liq);
#ifndef PNGQUANT_NO_MAIN
int main(int argc, char *argv[])
{
struct pngquant_options options = {
.floyd = 1.f, // floyd-steinberg dithering
.strip = false,
};
pngquant_error retval = pngquant_parse_options(argc, argv, &options);
if (retval != SUCCESS) {
return retval;
}
if (options.print_version) {
puts(PNGQUANT_VERSION);
return SUCCESS;
}
if (options.missing_arguments) {
print_full_version(stderr);
print_usage(stderr);
return MISSING_ARGUMENT;
}
if (options.print_help) {
print_full_version(stdout);
print_usage(stdout);
return SUCCESS;
}
#if defined(_WIN32) || defined(WIN32) || defined(__WIN32__)
setlocale(LC_ALL, ".65001"); // issue #376; set UTF-8 for Unicode filenames
#endif
liq_attr *liq = liq_attr_create();
if (!liq) {
fputs("SSE-capable CPU is required for this build.\n", stderr);
return WRONG_ARCHITECTURE;
}
if (options.quality && !parse_quality(options.quality, liq, &options.min_quality_limit)) {
fputs("Quality should be in format min-max where min and max are numbers in range 0-100.\n", stderr);
return INVALID_ARGUMENT;
}
if (options.iebug) {
// opacities above 238 will be rounded up to 255, because IE6 truncates <255 to 0.
liq_set_min_opacity(liq, 238);
fputs(" warning: the workaround for IE6 is deprecated\n", stderr);
}
if (options.verbose) {
liq_set_log_callback(liq, log_callback, NULL);
options.log_callback = log_callback;
}
if (options.last_index_transparent) {
liq_set_last_index_transparent(liq, true);
}
if (options.speed >= 10) {
options.fast_compression = true;
if (options.speed == 11) {
options.floyd = 0;
options.speed = 10;
}
}
if (options.speed && LIQ_OK != liq_set_speed(liq, options.speed)) {
fputs("Speed should be between 1 (slow) and 11 (fast).\n", stderr);
return INVALID_ARGUMENT;
}
if (options.colors && LIQ_OK != liq_set_max_colors(liq, options.colors)) {
fputs("Number of colors must be between 2 and 256.\n", stderr);
return INVALID_ARGUMENT;
}
if (options.posterize && LIQ_OK != liq_set_min_posterization(liq, options.posterize)) {
fputs("Posterization should be number of bits in range 0-4.\n", stderr);
return INVALID_ARGUMENT;
}
if (options.extension && options.output_file_path) {
fputs("--ext and --output options can't be used at the same time\n", stderr);
return INVALID_ARGUMENT;
}
// new filename extension depends on options used. Typically basename-fs8.png
if (options.extension == NULL) {
options.extension = options.floyd > 0 ? "-fs8.png" : "-or8.png";
}
if (options.output_file_path && options.num_files != 1) {
fputs(" error: Only one input file is allowed when --output is used. This error also happens when filenames with spaces are not in quotes.\n", stderr);
return INVALID_ARGUMENT;
}
if (options.using_stdout && !options.using_stdin && options.num_files != 1) {
fputs(" error: Only one input file is allowed when using the special output path \"-\" to write to stdout. This error also happens when filenames with spaces are not in quotes.\n", stderr);
return INVALID_ARGUMENT;
}
if (!options.num_files && !options.using_stdin) {
fputs("No input files specified.\n", stderr);
if (options.verbose) {
print_full_version(stderr);
}
print_usage(stderr);
return MISSING_ARGUMENT;
}
retval = pngquant_main_internal(&options, liq);
liq_attr_destroy(liq);
return retval;
}
#endif
// Don't use this. This is not a public API.
pngquant_error pngquant_main_internal(struct pngquant_options *options, liq_attr *liq)
{
#if defined(_WIN32) || defined(WIN32) || defined(__WIN32__)
setlocale(LC_ALL, ".65001"); // issue #376; set UTF-8 for Unicode filenames
#endif
if (options->map_file) {
png24_image tmp = {.width=0};
if (SUCCESS != read_image(liq, options->map_file, false, &tmp, &options->fixed_palette_image, true, true, false)) {
fprintf(stderr, " error: unable to load %s", options->map_file);
return INVALID_ARGUMENT;
}
liq_result *tmp_quantize = liq_quantize_image(liq, options->fixed_palette_image);
const liq_palette *pal = liq_get_palette(tmp_quantize);
if (!pal) {
fprintf(stderr, " error: unable to read colors from %s", options->map_file);
return INVALID_ARGUMENT;
}
for(unsigned int i=0; i < pal->count; i++) {
liq_image_add_fixed_color(options->fixed_palette_image, pal->entries[i]);
}
liq_result_destroy(tmp_quantize);
}
#ifdef _OPENMP
// if there's a lot of files, coarse parallelism can be used
if (options->num_files > 2*omp_get_max_threads()) {
omp_set_nested(0);
omp_set_dynamic(1);
} else {
omp_set_nested(1);
}
#endif
unsigned int error_count=0, skipped_count=0, file_count=0;
pngquant_error latest_error=SUCCESS;
#pragma omp parallel for \
schedule(static, 1) reduction(+:skipped_count) reduction(+:error_count) reduction(+:file_count) shared(latest_error)
for(int i=0; i < options->num_files; i++) {
const char *filename = options->using_stdin ? "stdin" : options->files[i];
struct pngquant_options opts = *options;
liq_attr *local_liq = liq_attr_copy(liq);
#ifdef _OPENMP
struct buffered_log buf = {0};
if (opts.log_callback && omp_get_num_threads() > 1 && opts.num_files > 1) {
liq_set_log_callback(local_liq, log_callback_buferred, &buf);
liq_set_log_flush_callback(local_liq, log_callback_buferred_flush, &buf);
opts.log_callback = log_callback_buferred;
opts.log_callback_user_info = &buf;
}
#endif
pngquant_error retval = SUCCESS;
const char *outname = opts.output_file_path;
char *outname_free = NULL;
if (!opts.using_stdout) {
if (!outname) {
outname = outname_free = add_filename_extension(filename, opts.extension);
}
if (!opts.force && file_exists(outname)) {
fprintf(stderr, " error: '%s' exists; not overwriting\n", outname);
retval = NOT_OVERWRITING_ERROR;
}
}
if (SUCCESS == retval) {
retval = pngquant_file_internal(filename, outname, &opts, local_liq);
}
free(outname_free);
liq_attr_destroy(local_liq);
if (retval) {
#pragma omp critical
{
latest_error = retval;
}
if (retval == TOO_LOW_QUALITY || retval == TOO_LARGE_FILE) {
skipped_count++;
} else {
error_count++;
}
}
++file_count;
}
if (error_count) {
verbose_printf(liq, options, "There were errors quantizing %d file%s out of a total of %d file%s.",
error_count, (error_count == 1)? "" : "s", file_count, (file_count == 1)? "" : "s");
}
if (skipped_count) {
verbose_printf(liq, options, "Skipped %d file%s out of a total of %d file%s.",
skipped_count, (skipped_count == 1)? "" : "s", file_count, (file_count == 1)? "" : "s");
}
if (!skipped_count && !error_count) {
verbose_printf(liq, options, "Quantized %d image%s.",
file_count, (file_count == 1)? "" : "s");
}
if (options->fixed_palette_image) liq_image_destroy(options->fixed_palette_image);
return latest_error;
}
/// Don't hack this. Instead use https://github.com/ImageOptim/libimagequant/blob/f54d2f1a3e1cf728e17326f4db0d45811c63f063/example.c
static pngquant_error pngquant_file_internal(const char *filename, const char *outname, struct pngquant_options *options, liq_attr *liq)
{
pngquant_error retval = SUCCESS;
verbose_printf(liq, options, "%s:", filename);
liq_image *input_image = NULL;
png24_image input_image_rwpng = {.width=0};
bool keep_input_pixels = options->skip_if_larger || (options->using_stdout && options->min_quality_limit); // original may need to be output to stdout
if (SUCCESS == retval) {
retval = read_image(liq, filename, options->using_stdin, &input_image_rwpng, &input_image, keep_input_pixels, options->strip, options->verbose);
}
int quality_percent = 90; // quality on 0-100 scale, updated upon successful remap
png8_image output_image = {.width=0};
if (SUCCESS == retval) {
verbose_printf(liq, options, " read %luKB file", (input_image_rwpng.file_size+1023UL)/1024UL);
if (RWPNG_ICCP == input_image_rwpng.input_color) {
verbose_printf(liq, options, " used embedded ICC profile to transform image to sRGB colorspace");
} else if (RWPNG_GAMA_CHRM == input_image_rwpng.input_color) {
verbose_printf(liq, options, " used gAMA and cHRM chunks to transform image to sRGB colorspace");
} else if (RWPNG_ICCP_WARN_GRAY == input_image_rwpng.input_color) {
verbose_printf(liq, options, " warning: ignored ICC profile in GRAY colorspace");
} else if (RWPNG_COCOA == input_image_rwpng.input_color) {
// No comment
} else if (RWPNG_SRGB == input_image_rwpng.input_color) {
verbose_printf(liq, options, " passing sRGB tag from the input");
} else if (input_image_rwpng.gamma != 0.45455) {
verbose_printf(liq, options, " converted image from gamma %2.1f to gamma 2.2",
1.0/input_image_rwpng.gamma);
}
// when using image as source of a fixed palette the palette is extracted using regular quantization
liq_result *remap;
liq_error remap_error = liq_image_quantize(options->fixed_palette_image ? options->fixed_palette_image : input_image, liq, &remap);
if (LIQ_OK == remap_error) {
// fixed gamma ~2.2 for the web. PNG can't store exact 1/2.2
// NB: can't change gamma here, because output_color is allowed to be an sRGB tag
liq_set_output_gamma(remap, 0.45455);
liq_set_dithering_level(remap, options->floyd);
retval = prepare_output_image(remap, input_image, input_image_rwpng.output_color, &output_image);
if (SUCCESS == retval) {
if (LIQ_OK != liq_write_remapped_image_rows(remap, input_image, output_image.row_pointers)) {
retval = OUT_OF_MEMORY_ERROR;
}
set_palette(remap, &output_image);
double palette_error = liq_get_quantization_error(remap);
if (palette_error >= 0) {
quality_percent = liq_get_quantization_quality(remap);
verbose_printf(liq, options, " mapped image to new colors...MSE=%.3f (Q=%d)", palette_error, quality_percent);
}
}
liq_result_destroy(remap);
} else if (LIQ_QUALITY_TOO_LOW == remap_error) {
retval = TOO_LOW_QUALITY;
} else {
retval = INVALID_ARGUMENT; // dunno
}
}
if (SUCCESS == retval) {
if (options->skip_if_larger) {
// this is very rough approximation, but generally avoid losing more quality than is gained in file size.
// Quality is raised to 1.5, because even greater savings are needed to justify big quality loss.
// but >50% savings are considered always worthwhile in order to allow low quality conversions to work at all
const double quality = quality_percent/100.0;
const double expected_reduced_size = pow(quality, 1.5);
output_image.maximum_file_size = (input_image_rwpng.file_size-1) * (expected_reduced_size < 0.5 ? 0.5 : expected_reduced_size);
}
output_image.fast_compression = options->fast_compression;
output_image.chunks = input_image_rwpng.chunks; input_image_rwpng.chunks = NULL;
retval = write_image(&output_image, NULL, outname, options, liq);
if (TOO_LARGE_FILE == retval) {
verbose_printf(liq, options, " file exceeded expected size of %luKB", (unsigned long)output_image.maximum_file_size/1024UL);
}
if (SUCCESS == retval && output_image.metadata_size > 0) {
verbose_printf(liq, options, " copied %dKB of additional PNG metadata", (int)(output_image.metadata_size+999)/1000);
}
}
if (options->using_stdout && keep_input_pixels && (TOO_LARGE_FILE == retval || TOO_LOW_QUALITY == retval)) {
// when outputting to stdout it'd be nasty to create 0-byte file
// so if quality is too low, output 24-bit original
pngquant_error write_retval = write_image(NULL, &input_image_rwpng, outname, options, liq);
if (write_retval) {
retval = write_retval;
}
}
if (input_image) liq_image_destroy(input_image);
rwpng_free_image24(&input_image_rwpng);
rwpng_free_image8(&output_image);
return retval;
}
static void set_palette(liq_result *result, png8_image *output_image)
{
const liq_palette *palette = liq_get_palette(result);
output_image->num_palette = palette->count;
for(unsigned int i=0; i < palette->count; i++) {
const liq_color px = palette->entries[i];
output_image->palette[i] = (rwpng_rgba){.r=px.r, .g=px.g, .b=px.b, .a=px.a};
}
}
static bool file_exists(const char *outname)
{
FILE *outfile = fopen(outname, "rb");
if ((outfile ) != NULL) {
fclose(outfile);
return true;
}
return false;
}
/* build the output filename from the input name by inserting "-fs8" or
* "-or8" before the ".png" extension (or by appending that plus ".png" if
* there isn't any extension), then make sure it doesn't exist already */
static char *add_filename_extension(const char *filename, const char *newext)
{
size_t x = strlen(filename);
char* outname = malloc(x+4+strlen(newext)+1);
if (!outname) return NULL;
strcpy(outname, filename);
if (x > 4 && (strncmp(outname+x-4, ".png", 4) == 0 || strncmp(outname+x-4, ".PNG", 4) == 0)) {
strcpy(outname+x-4, newext);
} else {
strcpy(outname+x, newext);
}
return outname;
}
static char *temp_filename(const char *basename) {
size_t x = strlen(basename);
char *outname = malloc(x+1+4);
if (!outname) return NULL;
strcpy(outname, basename);
strcpy(outname+x, ".tmp");
return outname;
}
static void set_binary_mode(FILE *fp)
{
#if defined(_WIN32) || defined(WIN32) || defined(__WIN32__)
setmode(fp == stdout ? 1 : 0, O_BINARY);
#endif
}
static const char *filename_part(const char *path)
{
const char *outfilename = strrchr(path, '/');
if (outfilename) {
return outfilename+1;
} else {
return path;
}
}
static bool replace_file(const char *from, const char *to, const bool force) {
#if defined(_WIN32) || defined(WIN32) || defined(__WIN32__)
if (force) {
// On Windows rename doesn't replace
unlink(to);
}
#endif
return (0 == rename(from, to));
}
static pngquant_error write_image(png8_image *output_image, png24_image *output_image24, const char *outname, struct pngquant_options *options, liq_attr *liq)
{
FILE *outfile;
char *tempname = NULL;
if (options->using_stdout) {
set_binary_mode(stdout);
outfile = stdout;
if (output_image) {
verbose_printf(liq, options, " writing %d-color image to stdout", output_image->num_palette);
} else {
verbose_printf(liq, options, " writing truecolor image to stdout");
}
} else {
tempname = temp_filename(outname);
if (!tempname) return OUT_OF_MEMORY_ERROR;
if ((outfile = fopen(tempname, "wb")) == NULL) {
fprintf(stderr, " error: cannot open '%s' for writing\n", tempname);
free(tempname);
return CANT_WRITE_ERROR;
}
if (output_image) {
verbose_printf(liq, options, " writing %d-color image as %s", output_image->num_palette, filename_part(outname));
} else {
verbose_printf(liq, options, " writing truecolor image as %s", filename_part(outname));
}
}
pngquant_error retval;
#pragma omp critical (libpng)
{
if (output_image) {
retval = rwpng_write_image8(outfile, output_image);
} else {
retval = rwpng_write_image24(outfile, output_image24);
}
}
if (!options->using_stdout) {
fclose(outfile);
if (SUCCESS == retval) {
// Image has been written to a temporary file and then moved over destination.
// This makes replacement atomic and avoids damaging destination file on write error.
if (!replace_file(tempname, outname, options->force)) {
retval = CANT_WRITE_ERROR;
}
}
if (retval) {
unlink(tempname);
}
}
free(tempname);
if (retval && retval != TOO_LARGE_FILE) {
fprintf(stderr, " error: failed writing image to %s (%d)\n", options->using_stdout ? "stdout" : outname, retval);
}
return retval;
}
static pngquant_error read_image(liq_attr *options, const char *filename, int using_stdin, png24_image *input_image_p, liq_image **liq_image_p, bool keep_input_pixels, bool strip, bool verbose)
{
FILE *infile;
if (using_stdin) {
set_binary_mode(stdin);
infile = stdin;
} else if ((infile = fopen(filename, "rb")) == NULL) {
fprintf(stderr, " error: cannot open %s for reading\n", filename);
return READ_ERROR;
}
pngquant_error retval;
#pragma omp critical (libpng)
{
retval = rwpng_read_image24(infile, input_image_p, strip, verbose);
}
if (!using_stdin) {
fclose(infile);
}
if (retval) {
fprintf(stderr, " error: cannot decode image %s\n", using_stdin ? "from stdin" : filename_part(filename));
return retval;
}
*liq_image_p = liq_image_create_rgba_rows(options, (void**)input_image_p->row_pointers, input_image_p->width, input_image_p->height, input_image_p->gamma);
if (!*liq_image_p) {
return OUT_OF_MEMORY_ERROR;
}
if (!keep_input_pixels) {
if (LIQ_OK != liq_image_set_memory_ownership(*liq_image_p, LIQ_OWN_ROWS | LIQ_OWN_PIXELS)) {
return OUT_OF_MEMORY_ERROR;
}
input_image_p->row_pointers = NULL;
input_image_p->rgba_data = NULL;
}
return SUCCESS;
}
static pngquant_error prepare_output_image(liq_result *result, liq_image *input_image, rwpng_color_transform output_color, png8_image *output_image)
{
output_image->width = liq_image_get_width(input_image);
output_image->height = liq_image_get_height(input_image);
output_image->gamma = liq_get_output_gamma(result);
output_image->output_color = output_color;
/*
** Step 3.7 [GRR]: allocate memory for the entire indexed image
*/
output_image->indexed_data = malloc((size_t)output_image->height * (size_t)output_image->width);
output_image->row_pointers = malloc((size_t)output_image->height * sizeof(output_image->row_pointers[0]));
if (!output_image->indexed_data || !output_image->row_pointers) {
return OUT_OF_MEMORY_ERROR;
}
for(size_t row = 0; row < output_image->height; row++) {
output_image->row_pointers[row] = output_image->indexed_data + row * output_image->width;
}
const liq_palette *palette = liq_get_palette(result);
// tRNS, etc.
output_image->num_palette = palette->count;
return SUCCESS;
}
|
core_dttqrt.c | /**
*
* @file
*
* PLASMA is a software package provided by:
* University of Tennessee, US,
* University of Manchester, UK.
*
* @generated from /home/luszczek/workspace/plasma/bitbucket/plasma/core_blas/core_zttqrt.c, normal z -> d, Fri Sep 28 17:38:25 2018
*
**/
#include <plasma_core_blas.h>
#include "plasma_types.h"
#include "plasma_internal.h"
#include "core_lapack.h"
#include <omp.h>
// This will be swapped during the automatic code generation.
#undef REAL
#define REAL
/***************************************************************************//**
*
* @ingroup core_ttqrt
*
* Computes a QR factorization of a rectangular matrix
* formed by coupling an n-by-n upper triangular tile A1
* on top of an m-by-n upper triangular tile A2:
*
* | A1 | = Q * R
* | A2 |
*
*******************************************************************************
*
* @param[in] m
* The number of columns of the tile A2. m >= 0.
*
* @param[in] n
* The number of rows of the tile A1.
* The number of columns of the tiles A1 and A2. n >= 0.
*
* @param[in] ib
* The inner-blocking size. ib >= 0.
*
* @param[in,out] A1
* On entry, the n-by-n tile A1.
* On exit, the elements on and above the diagonal of the array
* contain the n-by-n upper trapezoidal tile R;
* the elements below the diagonal are not referenced.
*
* @param[in] lda1
* The leading dimension of the array A1. lda1 >= max(1,n).
*
* @param[in,out] A2
* On entry, the m-by-n upper triangular tile A2.
* On exit, the elements on and above the diagonal of the array
* with the matrix T represent
* the orthogonal tile Q as a product of elementary reflectors
*
* @param[in] lda2
* The leading dimension of the tile A2. lda2 >= max(1,m).
*
* @param[out] T
* The ib-by-n triangular factor T of the block reflector.
* T is upper triangular by block (economic storage);
* The rest of the array is not referenced.
*
* @param[in] ldt
* The leading dimension of the array T. ldt >= ib.
*
* @param tau
* Auxiliary workspace array of length n.
*
* @param work
* Auxiliary workspace array of length ib*n.
*
*******************************************************************************
*
* @retval PlasmaSuccess successful exit
* @retval < 0 if -i, the i-th argument had an illegal value
*
******************************************************************************/
__attribute__((weak))
int plasma_core_dttqrt(int m, int n, int ib,
double *A1, int lda1,
double *A2, int lda2,
double *T, int ldt,
double *tau,
double *work)
{
// Check input arguments.
if (m < 0) {
plasma_coreblas_error("illegal value of m");
return -1;
}
if (n < 0) {
plasma_coreblas_error("illegal value of n");
return -2;
}
if (ib < 0) {
plasma_coreblas_error("illegal value of ib");
return -3;
}
if (A1 == NULL) {
plasma_coreblas_error("NULL A1");
return -4;
}
if (lda1 < imax(1, m) && m > 0) {
plasma_coreblas_error("illegal value of lda1");
return -5;
}
if (A2 == NULL) {
plasma_coreblas_error("NULL A2");
return -6;
}
if (lda2 < imax(1, m) && m > 0) {
plasma_coreblas_error("illegal value of lda2");
return -7;
}
if (T == NULL) {
plasma_coreblas_error("NULL T");
return -8;
}
if (ldt < imax(1, ib) && ib > 0) {
plasma_coreblas_error("illegal value of ldt");
return -9;
}
if (tau == NULL) {
plasma_coreblas_error("NULL tau");
return -10;
}
if (work == NULL) {
plasma_coreblas_error("NULL work");
return -11;
}
// quick return
if ((m == 0) || (n == 0) || (ib == 0))
return PlasmaSuccess;
// TODO: Need to check why some cases require this to avoid
// uninitialized values
//core_dlaset(PlasmaGeneral, ib, n, 0.0, 0.0, T, ldt);
for (int ii = 0; ii < n; ii += ib) {
int sb = imin(n-ii, ib);
for (int i = 0; i < sb; i++) {
int j = ii + i;
int mi = imin(j+1, m);
int ni = sb-i-1;
// Generate elementary reflector H(j) to annihilate A2(1:mi, j).
LAPACKE_dlarfg_work(
mi+1, &A1[lda1*j+j], &A2[lda2*j], 1, &tau[j]);
if (ni > 0) {
// Apply H(j-1) to A(j:m, j+1:ii+ib) from the left.
cblas_dcopy(
ni,
&A1[lda1*(j+1)+j], lda1,
work, 1);
#ifdef COMPLEX
LAPACKE_dlacgv_work(ni, work, 1);
#endif
double zone = 1.0;
cblas_dgemv(
CblasColMajor, (CBLAS_TRANSPOSE)PlasmaTrans,
mi, ni,
(zone), &A2[lda2*(j+1)], lda2,
&A2[lda2*j], 1,
(zone), work, 1);
#ifdef COMPLEX
LAPACKE_dlacgv_work(ni, work, 1);
#endif
double alpha = -(tau[j]);
cblas_daxpy(
ni, (alpha),
work, 1,
&A1[lda1*(j+1)+j], lda1);
#ifdef COMPLEX
LAPACKE_dlacgv_work(ni, work, 1);
#endif
cblas_dger(
CblasColMajor, mi, ni,
(alpha), &A2[lda2*j], 1,
work, 1,
&A2[lda2*(j+1)], lda2);
}
// Calculate T.
// T(0:i-1, j) = alpha * A2(0:m-1, ii:j-1)^T * A2(0:m-1, j)
if (i > 0) {
int l = imin(i, imax(0, m-ii));
double alpha = -(tau[j]);
plasma_core_dpemv(
PlasmaTrans, PlasmaColumnwise,
imin(j, m), i, l,
alpha, &A2[lda2*ii], lda2,
&A2[lda2*j], 1,
0.0, &T[ldt*j], 1,
work);
// T(0:i-1, j) = T(0:i-1, ii:j-1) * T(0:i-1, j)
cblas_dtrmv(
CblasColMajor, (CBLAS_UPLO)PlasmaUpper,
(CBLAS_TRANSPOSE)PlasmaNoTrans,
(CBLAS_DIAG)PlasmaNonUnit,
i, &T[ldt*ii], ldt,
&T[ldt*j], 1);
}
T[ldt*j+i] = tau[j];
}
// Apply Q^T to the rest of the matrix from the left.
if (n > ii+sb) {
int mi = imin(ii+sb, m);
int ni = n-(ii+sb);
int l = imin(sb, imax(0, mi-ii));
plasma_core_dparfb(
PlasmaLeft, PlasmaTrans,
PlasmaForward, PlasmaColumnwise,
ib, ni, mi, ni, sb, l, //replaced sb by ib
&A1[lda1*(ii+sb)+ii], lda1,
&A2[lda2*(ii+sb)], lda2,
&A2[lda2*ii], lda2,
&T[ldt*ii], ldt,
work, sb);
}
}
return PlasmaSuccess;
}
/******************************************************************************/
void plasma_core_omp_dttqrt(int m, int n, int ib,
double *A1, int lda1,
double *A2, int lda2,
double *T, int ldt,
plasma_workspace_t work,
plasma_sequence_t *sequence, plasma_request_t *request)
{
#pragma omp task depend(inout:A1[0:lda1*n]) \
depend(inout:A2[0:lda2*n]) \
depend(out:T[0:ib*n])
{
if (sequence->status == PlasmaSuccess) {
// Prepare workspaces.
int tid = omp_get_thread_num();
double *tau = ((double*)work.spaces[tid]);
// Call the kernel.
int info = plasma_core_dttqrt(m, n, ib,
A1, lda1,
A2, lda2,
T, ldt,
tau,
tau+n);
if (info != PlasmaSuccess) {
plasma_error("core_dttqrt() failed");
plasma_request_fail(sequence, request, PlasmaErrorInternal);
}
}
}
}
|
parallel-simple.c | /*
* parallel-simple.c -- Archer testcase
*/
//===----------------------------------------------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
//
// See tools/archer/LICENSE.txt for details.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
// RUN: %libarcher-compile-and-run-race | FileCheck %s
// REQUIRES: tsan
#include <omp.h>
#include <stdio.h>
int main(int argc, char *argv[]) {
int var = 0;
#pragma omp parallel num_threads(2) shared(var)
{ var++; }
int error = (var != 2);
fprintf(stderr, "DONE\n");
return error;
}
// CHECK: WARNING: ThreadSanitizer: data race
// CHECK-NEXT: {{(Write|Read)}} of size 4
// CHECK-NEXT: #0 {{.*}}parallel-simple.c:23
// CHECK: Previous write of size 4
// CHECK-NEXT: #0 {{.*}}parallel-simple.c:23
// CHECK: DONE
// CHECK: ThreadSanitizer: reported 1 warnings
|
GB_unaryop__ainv_fp64_int64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__ainv_fp64_int64
// op(A') function: GB_tran__ainv_fp64_int64
// C type: double
// A type: int64_t
// cast: double cij = (double) aij
// unaryop: cij = -aij
#define GB_ATYPE \
int64_t
#define GB_CTYPE \
double
// 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 ;
// casting
#define GB_CASTING(z, x) \
double z = (double) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_AINV || GxB_NO_FP64 || GxB_NO_INT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__ainv_fp64_int64
(
double *restrict Cx,
const int64_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__ainv_fp64_int64
(
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
|
openmpLBM.c | // http://www.caam.rice.edu/~timwar/CAAM210/Flows.html
#include <math.h>
#include <stdlib.h>
#include <stdio.h>
#include "png_util.h"
#include <omp.h>
#define dfloat double
#define FLUID 0
#define WALL 1
#define NSPECIES 9
// loop up 1D array index from 2D node coordinates
int idx(int N, int n, int m){
return n + m*(N+2);
}
void lbmInput(const char *imageFileName,
dfloat threshold,
int *outN,
int *outM,
unsigned char **rgb,
unsigned char **alpha,
int **nodeType){
int n,m, N,M;
// read png file
read_png(imageFileName, &N, &M, rgb, alpha);
// pad to guarantee space around obstacle and extend the wake
int Npad = 3*N;
int Mpad = 2*M;
if(Npad>8192) Npad = 8192;
if(Mpad>8192) Mpad = 8192;
// threshold walls based on gray scale
*nodeType = (int*) calloc((Npad+2)*(Mpad+2), sizeof(int));
// mark pixels by gray scale intensity
unsigned char *rgbPad = (unsigned char*) calloc(3*(Npad+2)*(Mpad+2), sizeof(unsigned char));
unsigned char *alphaPad = (unsigned char*) calloc((Npad+2)*(Mpad+2), sizeof(unsigned char));
int wallCount = 0;
for(m=1;m<=M;++m){
for(n=1;n<=N;++n){
int offset = ((n-1)+(m-1)*N);
dfloat r = (*rgb)[3*offset+0];
dfloat g = (*rgb)[3*offset+1];
dfloat b = (*rgb)[3*offset+2];
dfloat a = (*alpha) ? (*alpha)[offset]:255;
// center image in padded region (including halo zone)
int id = idx(Npad,n+(N/4),m+(M/2));
if(a==0)
(*nodeType)[id] = FLUID;
else
(*nodeType)[id] = WALL*(sqrt(r*r+g*g+b*b)<threshold);
wallCount += (*nodeType)[id];
rgbPad[3*id+0] = r;
rgbPad[3*id+1] = g;
rgbPad[3*id+2] = b;
alphaPad[id] = 255;
}
}
for(n=1;n<=Npad;++n){
(*nodeType)[idx(Npad,n,1)] = WALL;
(*nodeType)[idx(Npad,n,Mpad)] = WALL;
}
free(*rgb); free(*alpha);
*rgb = rgbPad;
*alpha = alphaPad;
printf("wallCount = %d (%g percent of %d x %d nodes)\n", wallCount, 100.*((dfloat)wallCount/((Npad+2)*(Mpad+2))), Npad, Mpad);
*outN = Npad;
*outM = Mpad;
}
void lbmOutput(const char *fname,
const int *nodeType,
unsigned char *rgb,
unsigned char *alpha,
const dfloat c,
const dfloat dx,
int N,
int M,
const dfloat *f){
int n,m,s;
FILE *bah = fopen(fname, "w");
// compute vorticity
dfloat *Ux = (dfloat*) calloc((N+2)*(M+2), sizeof(dfloat));
dfloat *Uy = (dfloat*) calloc((N+2)*(M+2), sizeof(dfloat));
dfloat fnm[NSPECIES];
for(m=1;m<=M;++m){
for(n=1;n<=N;++n){
int base = idx(N, n, m);
for(s=0;s<NSPECIES;++s)
fnm[s] = f[base+s*(N+2)*(M+2)];
const dfloat rho = fnm[0]+fnm[1]+fnm[2]+fnm[3]+fnm[4]+fnm[5]+fnm[6]+fnm[7]+fnm[8];
// macroscopic momentum
Ux[base] = (fnm[1] - fnm[3] + fnm[5] - fnm[6] - fnm[7] + fnm[8])*c/rho;
Uy[base] = (fnm[2] - fnm[4] + fnm[5] + fnm[6] - fnm[7] - fnm[8])*c/rho;
}
}
dfloat plotMin = -4, plotMax = 4;
for(m=1;m<=M;++m){
for(n=1;n<=N;++n){
int id = idx(N,n,m);
// over write pixels in fluid region
if(nodeType[id]==FLUID){
unsigned char r,g,b,a;
// reconstruct macroscopic density
dfloat rho = 0;
for(s=0;s<NSPECIES;++s)
rho += f[id+s*(N+2)*(M+2)];
rho = ((rho-plotMin)/(plotMax-plotMin)); // rescale
dfloat dUxdy = (Ux[idx(N,n,m+1)]-Ux[idx(N,n,m-1)])/(2.*dx);
dfloat dUydx = (Uy[idx(N,n+1,m)]-Uy[idx(N,n-1,m)])/(2.*dx);
dfloat curlU = dUydx-dUxdy;
curlU = ((curlU-plotMin)/(plotMax-plotMin));
r = 255*curlU;
g = 255*curlU;
b = 255*curlU;
a = 255;
rgb[idx(N,n,m)*3+0] = r;
rgb[idx(N,n,m)*3+1] = g;
rgb[idx(N,n,m)*3+2] = b;
alpha[idx(N,n,m)] = a;
}
}
}
write_png(bah, N+2, M+2, rgb, alpha);
fclose(bah);
free(Ux);
free(Uy);
}
// weights used to compute equilibrium distribution (post collision)
const dfloat w0 = 4.f/9.f, w1 = 1.f/9.f, w2 = 1.f/9.f, w3 = 1.f/9.f;
const dfloat w4 = 1.f/9.f, w5 = 1.f/36.f, w6 = 1.f/36.f, w7 = 1.f/36.f, w8 = 1.f/36.f;
void lbmEquilibrium(const dfloat c,
const dfloat rho,
const dfloat Ux,
const dfloat Uy,
dfloat * feq){
// resolve macroscopic velocity into lattice particle velocity directions
const dfloat U2 = Ux*Ux+Uy*Uy;
const dfloat v0 = 0;
const dfloat v1 = +Ux/c;
const dfloat v2 = +Uy/c;
const dfloat v3 = -Ux/c;
const dfloat v4 = -Uy/c;
const dfloat v5 = (+Ux+Uy)/c;
const dfloat v6 = (-Ux+Uy)/c;
const dfloat v7 = (-Ux-Uy)/c;
const dfloat v8 = (+Ux-Uy)/c;
// compute LBM post-collisional
feq[0] = rho*w0*(1.f + 3.f*v0 + 4.5f*v0*v0 - 1.5f*U2/(c*c));
feq[1] = rho*w1*(1.f + 3.f*v1 + 4.5f*v1*v1 - 1.5f*U2/(c*c));
feq[2] = rho*w2*(1.f + 3.f*v2 + 4.5f*v2*v2 - 1.5f*U2/(c*c));
feq[3] = rho*w3*(1.f + 3.f*v3 + 4.5f*v3*v3 - 1.5f*U2/(c*c));
feq[4] = rho*w4*(1.f + 3.f*v4 + 4.5f*v4*v4 - 1.5f*U2/(c*c));
feq[5] = rho*w5*(1.f + 3.f*v5 + 4.5f*v5*v5 - 1.5f*U2/(c*c));
feq[6] = rho*w6*(1.f + 3.f*v6 + 4.5f*v6*v6 - 1.5f*U2/(c*c));
feq[7] = rho*w7*(1.f + 3.f*v7 + 4.5f*v7*v7 - 1.5f*U2/(c*c));
feq[8] = rho*w8*(1.f + 3.f*v8 + 4.5f*v8*v8 - 1.5f*U2/(c*c));
}
// perform lattice streaming and collision steps
void lbmUpdate(const int N, // number of nodes in x
const int M, // number of nodes in y
const dfloat c, // speed of sound
const dfloat *tau, // relaxation rate
const int * nodeType, // (N+2) x (M+2) node types
const dfloat * f, // (N+2) x (M+2) x 9 fields before streaming and collisions
dfloat * fnew){ // (N+2) x (M+2) x 9 fields after streaming and collisions
// loop counters
int n,m;
// number of nodes in whole array including halo
int Nall = (N+2)*(M+2);
// loop over all non-halo nodes in lattice
#pragma omp parallel for
for(m=1;m<M+1;++m){
for(n=1;n<=N+1;++n){
// physics paramaters
dfloat tauinv = 1.f/tau[idx(N,n,m)];
// discover type of node (WALL or FLUID)
const int nt = nodeType[idx(N,n,m)];
dfloat fnm[NSPECIES];
// OUTFLOW
if(n==N+1){
fnm[0] = f[idx(N,n, m) + 0*Nall]; // stationary
fnm[1] = f[idx(N,n-1,m) + 1*Nall]; // E bound from W
fnm[2] = f[idx(N,n,m-1) + 2*Nall]; // N bound from S
fnm[3] = f[idx(N,n,m) + 3*Nall]; // W bound from E
fnm[4] = f[idx(N,n,m+1) + 4*Nall]; // S bound from N
fnm[5] = f[idx(N,n-1,m-1) + 5*Nall]; // NE bound from SW
fnm[6] = f[idx(N,n,m-1) + 6*Nall]; // NW bound from SE
fnm[7] = f[idx(N,n,m+1) + 7*Nall]; // SW bound from NE
fnm[8] = f[idx(N,n-1,m+1) + 8*Nall]; // SE bound from NW
}
else if(nt == FLUID){
fnm[0] = f[idx(N,n, m) + 0*Nall]; // stationary
fnm[1] = f[idx(N,n-1,m) + 1*Nall]; // E bound from W
fnm[2] = f[idx(N,n,m-1) + 2*Nall]; // N bound from S
fnm[3] = f[idx(N,n+1,m) + 3*Nall]; // W bound from E
fnm[4] = f[idx(N,n,m+1) + 4*Nall]; // S bound from N
fnm[5] = f[idx(N,n-1,m-1) + 5*Nall]; // NE bound from SW
fnm[6] = f[idx(N,n+1,m-1) + 6*Nall]; // NW bound from SE
fnm[7] = f[idx(N,n+1,m+1) + 7*Nall]; // SW bound from NE
fnm[8] = f[idx(N,n-1,m+1) + 8*Nall]; // SE bound from NW
}
else{
// WALL reflects particles
fnm[0] = f[idx(N,n,m) + 0*Nall]; // stationary
fnm[1] = f[idx(N,n,m) + 3*Nall]; // E bound from W
fnm[2] = f[idx(N,n,m) + 4*Nall]; // N bound from S
fnm[3] = f[idx(N,n,m) + 1*Nall]; // W bound from E
fnm[4] = f[idx(N,n,m) + 2*Nall]; // S bound from N
fnm[5] = f[idx(N,n,m) + 7*Nall]; // NE bound from SW
fnm[6] = f[idx(N,n,m) + 8*Nall]; // NW bound from SE
fnm[7] = f[idx(N,n,m) + 5*Nall]; // SW bound from NE
fnm[8] = f[idx(N,n,m) + 6*Nall]; // SE bound from NW
}
// macroscopic density
const dfloat rho = fnm[0]+fnm[1]+fnm[2]+fnm[3]+fnm[4]+fnm[5]+fnm[6]+fnm[7]+fnm[8];
if(rho<1e-4){ printf("rho(%d,%d)=%g\n", n,m,rho); exit(-1); }
// macroscopic momentum
const dfloat delta2 = 1e-5;
const dfloat Ux = (fnm[1] - fnm[3] + fnm[5] - fnm[6] - fnm[7] + fnm[8])*c/sqrt(rho*rho+delta2);
const dfloat Uy = (fnm[2] - fnm[4] + fnm[5] + fnm[6] - fnm[7] - fnm[8])*c/sqrt(rho*rho+delta2);
// compute equilibrium distribution
dfloat feq[NSPECIES];
lbmEquilibrium(c, rho, Ux, Uy, feq);
// MRT stabilization
const dfloat g0 = 1.f, g1 = -2.f, g2 = -2.f, g3 = -2.f, g4 = -2.f;
const dfloat g5 = 4.f, g6 = 4.f, g7 = 4.f, g8 = 4.f;
const dfloat R = g0*fnm[0] + g1*fnm[1] + g2*fnm[2]+ g3*fnm[3] + g4*fnm[4] + g5*fnm[5] + g6*fnm[6] + g7*fnm[7] + g8*fnm[8];
// relax towards post collision densities
fnm[0] -= tauinv*(fnm[0]-feq[0]) + (1.f-tauinv)*w0*g0*R*0.25f;
fnm[1] -= tauinv*(fnm[1]-feq[1]) + (1.f-tauinv)*w1*g1*R*0.25f;
fnm[2] -= tauinv*(fnm[2]-feq[2]) + (1.f-tauinv)*w2*g2*R*0.25f;
fnm[3] -= tauinv*(fnm[3]-feq[3]) + (1.f-tauinv)*w3*g3*R*0.25f;
fnm[4] -= tauinv*(fnm[4]-feq[4]) + (1.f-tauinv)*w4*g4*R*0.25f;
fnm[5] -= tauinv*(fnm[5]-feq[5]) + (1.f-tauinv)*w5*g5*R*0.25f;
fnm[6] -= tauinv*(fnm[6]-feq[6]) + (1.f-tauinv)*w6*g6*R*0.25f;
fnm[7] -= tauinv*(fnm[7]-feq[7]) + (1.f-tauinv)*w7*g7*R*0.25f;
fnm[8] -= tauinv*(fnm[8]-feq[8]) + (1.f-tauinv)*w8*g8*R*0.25f;
// store new densities
const int base = idx(N,n,m);
fnew[base+0*Nall] = fnm[0];
fnew[base+1*Nall] = fnm[1];
fnew[base+2*Nall] = fnm[2];
fnew[base+3*Nall] = fnm[3];
fnew[base+4*Nall] = fnm[4];
fnew[base+5*Nall] = fnm[5];
fnew[base+6*Nall] = fnm[6];
fnew[base+7*Nall] = fnm[7];
fnew[base+8*Nall] = fnm[8];
}
}
}
void lbmCheck(int N, int M, dfloat *f){
int n;
int nanCount = 0;
for(n=0;n<NSPECIES*N*M;++n){
nanCount += isnan(f[n]);
}
if(nanCount){ printf("found %d nans\n", nanCount); exit(-1); }
}
// set initial conditions (use uniform flow f everywhere)
void lbmInitialConditions(dfloat c, int N, int M, int *nodeType, dfloat *f){
int n,m,s;
dfloat feqIC[NSPECIES];
dfloat feqWALL[NSPECIES];
dfloat rhoIC = 1.;
dfloat UxIC = 1.;
dfloat UyIC = 0.;
lbmEquilibrium(c, rhoIC, UxIC, UyIC, feqIC);
lbmEquilibrium(c, rhoIC, 0., 0., feqWALL);
for(m=0;m<=M+1;++m){
for(n=0;n<=N+1;++n){
int base = idx(N, n, m);
int s;
if(n==0){
for(s=0;s<NSPECIES;++s){
f[idx(N,n,m)+s*(N+2)*(M+2)] = feqIC[s];
}
}
else{
for(s=0;s<NSPECIES;++s){
f[idx(N,n,m)+s*(N+2)*(M+2)] = feqWALL[s];
}
}
}
}
}
void lbmRun(int N,
int M,
unsigned char *rgb,
unsigned char *alpha,
dfloat c,
dfloat dx,
dfloat *h_tau,
int *nodeType,
dfloat *f,
dfloat *fnew){
int Nsteps = 300000/2, tstep = 0, iostep = 100;
// time step
for(tstep=0;tstep<Nsteps;++tstep){
// perform two updates
lbmUpdate(N, M, c, h_tau, nodeType, f, fnew);
lbmUpdate(N, M, c, h_tau, nodeType, fnew, f);
// check for nans
lbmCheck(N, M, f);
if(!(tstep%iostep)){
printf("tstep = %d\n", tstep);
char fname[BUFSIZ];
sprintf(fname, "bah%06d.png", tstep/iostep);
lbmOutput(fname, nodeType, rgb, alpha, c, dx, N, M, f);
}
}
}
int main(int argc, char **argv){
if(argc!=3){
printf("usage: ./openmpLBM foo.png threshold\n");
exit(-1);
}
int N, M; // size of lattice
int n,m;
// read threshold
dfloat threshold = atof(argv[2]);
char *imageFileName = strdup(argv[1]);
unsigned char *rgb, *alpha;
int *nodeType;
lbmInput(imageFileName, threshold, &N, &M, &rgb, &alpha, &nodeType);
printf("N=%d, M=%d\n", N, M);
// physical parameters
dfloat dx = .01; // lattice node spacings in x
dfloat dt = dx*.1; // time step (also determines Mach number)
dfloat c = dx/dt; // speed of sound
dfloat tau = .61; // relaxation rate
dfloat Reynolds = 2./((tau-.5)*c*c*dt/3.);
printf("Reynolds number %g\n", Reynolds);
// create lattice storage
dfloat *f = (dfloat*) calloc((N+2)*(M+2)*NSPECIES, sizeof(dfloat));
dfloat *fnew = (dfloat*) calloc((N+2)*(M+2)*NSPECIES, sizeof(dfloat));
dfloat *h_tau = (dfloat*) calloc((N+2)*(M+2), sizeof(dfloat));
// set tau based on n index
dfloat xo = .9;
for(m=0;m<=M+1;++m){
for(n=0;n<=N+1;++n){
dfloat x = ((dfloat)n)/N;
dfloat taunm = tau*(1 + 4*(1+tanh(10*(x-xo))));
h_tau[idx(N,n,m)] = taunm;
}
}
// set initial flow densities
lbmInitialConditions(c, N, M, nodeType, f);
lbmInitialConditions(c, N, M, nodeType, fnew);
// time step the LBM solver
lbmRun(N, M, rgb, alpha, c, dx, h_tau, nodeType, f, fnew);
// output result as image
lbmOutput("bahFinal.png", nodeType, rgb, alpha, c, dx, N, M, f);
exit(0);
return 0;
}
|
kernels.c | #include "trace.h"
#include "common.h"
#include <math.h>
#include <stdlib.h>
void panel(Matrix A, int i){
int m, ld, info, np, ii;
ii = i*A.B;
np = A.B;
m = A.N-ii;
ld = A.N;
#if defined(DBG)
printf("%2d -- panel : %d\n",omp_get_thread_num(),i);
#endif
trace_event_start(PNL);
dgetrf_(&m, &np, A.A+ii*ld+ii, &ld, A.ipiv+ii, &info);
trace_event_stop(PNL);
}
void update(Matrix A, int i, int j){
int m, mu, nu, np, ld, info, ii, jj;
char NoTran = 'N', Lower='L', Unit='U', Left='L';
int IONE=1, IMONE=-1, IZERO=0;
double DONE=(double)1.0, DMONE=-1.0, DZERO=0.0;
ii = i*A.B;
jj = j*A.B;
np = A.B;
nu = A.B;
m = A.N-ii;
mu = m-np;
ld = A.N;
#if defined(DBG)
printf("%2d -- update: %d %d\n",omp_get_thread_num(),i,j);
#endif
trace_event_start(UPD);
dlaswp_(&nu, A.A+jj*ld+ii, &ld, &IONE, &np, A.ipiv+ii, &IONE);
dtrsm_ (&Left, &Lower, &NoTran, &Unit,
&np, &nu,
&DONE,
A.A+ii*ld+ii, &ld,
A.A+jj*ld+ii, &ld);
dgemm_ (&NoTran, &NoTran,
&mu, &nu, &np,
&DMONE,
A.A+ii*ld+ii+np, &ld,
A.A+jj*ld+ii, &ld,
&DONE,
A.A+jj*ld+ii+np, &ld);
trace_event_stop(UPD);
return;
}
void backperm(Matrix A){
int i, j, ld, ipb, ipo;
int IONE=1;
ld = A.N;
trace_event_start(END);
for(i=A.B; i<A.N; i+=A.B){
for(j=i; j<A.N; j++)
A.ipiv[j]+=A.B;
ipo = i+1;
ipb = i+A.B;
#pragma omp parallel for
for(j=0; j<i; j+=A.B)
dlaswp_(&A.B, A.A+j*ld, &ld, &ipo, &ipb, A.ipiv, &IONE);
}
trace_event_stop(END);
return;
}
void checkres(Matrix A, double *Acpy){
int ISEED[4] = {0,0,0,3};
int IONE=1;
char NoTran = 'N';
double DONE=1.0, DMONE=-1.0;
double *x, *b;
int info;
double flops, nrm2, nrmf;
x = (double *)malloc(A.N*sizeof(double));
b = (double *)malloc(A.N*sizeof(double));
dlarnv_(&IONE, ISEED, &A.N, b);
memcpy( x, b, A.N*sizeof(double) );
dgetrs_(&NoTran, &(A.N), &IONE, A.A, &(A.N), A.ipiv, x, &(A.N), &info);
dgemv_(&NoTran, &A.N, &A.N, &DONE, Acpy, &A.N, x, &IONE, &DMONE, b, &IONE);
nrm2 = dnrm2_c(A.N, b, IONE);
nrmf = dnrmf_c(A.N, A.N, Acpy, A.N);
printf("Residual norm: %e\n",sqrt(A.N)*nrm2/nrmf);
free(x);
free(b);
return;
}
|
GB_binop__cmplx_fp64.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef 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__cmplx_fp64)
// A.*B function (eWiseMult): GB (_AemultB_08__cmplx_fp64)
// A.*B function (eWiseMult): GB (_AemultB_02__cmplx_fp64)
// A.*B function (eWiseMult): GB (_AemultB_04__cmplx_fp64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__cmplx_fp64)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__cmplx_fp64)
// C+=b function (dense accum): GB (_Cdense_accumb__cmplx_fp64)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__cmplx_fp64)
// C=scalar+B GB (_bind1st__cmplx_fp64)
// C=scalar+B' GB (_bind1st_tran__cmplx_fp64)
// C=A+scalar GB (_bind2nd__cmplx_fp64)
// C=A'+scalar GB (_bind2nd_tran__cmplx_fp64)
// C type: GxB_FC64_t
// A type: double
// A pattern? 0
// B type: double
// B pattern? 0
// BinaryOp: cij = GxB_CMPLX (aij, bij)
#define GB_ATYPE \
double
#define GB_BTYPE \
double
#define GB_CTYPE \
GxB_FC64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
0
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
0
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
double aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
double bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
GxB_FC64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GxB_CMPLX (GBX (Ax, pA, A_iso), 0)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GxB_CMPLX (GBX (Bx, pB, B_iso), 0)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GxB_CMPLX (x, y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
1
// 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_CMPLX || GxB_NO_FP64 || GxB_NO_CMPLX_FP64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__cmplx_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__cmplx_fp64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
#include "GB_dense_subassign_23_template.c"
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__cmplx_fp64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if 0
{
// get the scalar b for C += b, of type double
double bwork = (*((double *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *restrict Cx = (GxB_FC64_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__cmplx_fp64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
double alpha_scalar ;
double beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((double *) alpha_scalar_in)) ;
beta_scalar = (*((double *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__cmplx_fp64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__cmplx_fp64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__cmplx_fp64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__cmplx_fp64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__cmplx_fp64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
double x = (*((double *) x_input)) ;
double *Bx = (double *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
double bij = GBX (Bx, p, false) ;
Cx [p] = GxB_CMPLX (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__cmplx_fp64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
GxB_FC64_t *Cx = (GxB_FC64_t *) Cx_output ;
double *Ax = (double *) Ax_input ;
double y = (*((double *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
double aij = GBX (Ax, p, false) ;
Cx [p] = GxB_CMPLX (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = GxB_CMPLX (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__cmplx_fp64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
double
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double x = (*((const double *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
double
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = GxB_CMPLX (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__cmplx_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double y = (*((const double *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
convolution_1x1_pack4to8_fp16s.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void conv1x1s1_sgemm_transform_kernel_pack4to8_fp16sa_neon(const Mat& kernel, Mat& kernel_tm_pack4to8, int inch, int outch)
{
// interleave
// src = inch-outch
// dst = 8b-4a-inch/4a-outch/8b
kernel_tm_pack4to8.create(8 * 4, inch / 4, outch / 8, (size_t)2u, 1);
int q = 0;
for (; q + 7 < outch; q += 8)
{
const float* k0 = (const float*)kernel + (q + 0) * inch;
const float* k1 = (const float*)kernel + (q + 1) * inch;
const float* k2 = (const float*)kernel + (q + 2) * inch;
const float* k3 = (const float*)kernel + (q + 3) * inch;
const float* k4 = (const float*)kernel + (q + 4) * inch;
const float* k5 = (const float*)kernel + (q + 5) * inch;
const float* k6 = (const float*)kernel + (q + 6) * inch;
const float* k7 = (const float*)kernel + (q + 7) * inch;
__fp16* g0 = kernel_tm_pack4to8.channel(q / 8);
for (int p = 0; p + 3 < inch; p += 4)
{
for (int i = 0; i < 4; i++)
{
g0[0] = (__fp16)k0[i];
g0[1] = (__fp16)k1[i];
g0[2] = (__fp16)k2[i];
g0[3] = (__fp16)k3[i];
g0[4] = (__fp16)k4[i];
g0[5] = (__fp16)k5[i];
g0[6] = (__fp16)k6[i];
g0[7] = (__fp16)k7[i];
g0 += 8;
}
k0 += 4;
k1 += 4;
k2 += 4;
k3 += 4;
k4 += 4;
k5 += 4;
k6 += 4;
k7 += 4;
}
}
}
static void conv1x1s1_sgemm_pack4to8_fp16sa_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int h = bottom_blob.h;
int inch = bottom_blob.c;
int outch = top_blob.c;
size_t elemsize = bottom_blob.elemsize;
int elempack = bottom_blob.elempack;
const int size = w * h;
const __fp16* bias = _bias;
// interleave
Mat tmp;
if (size >= 8)
tmp.create(8, inch, size / 8 + size % 8, elemsize, elempack, opt.workspace_allocator);
else // if (size >= 1)
tmp.create(1, inch, size, elemsize, elempack, opt.workspace_allocator);
{
int nn_size;
int remain_size_start = 0;
nn_size = (size - remain_size_start) >> 3;
#pragma omp parallel for num_threads(opt.num_threads)
for (int ii = 0; ii < nn_size; ii++)
{
int i = remain_size_start + ii * 8;
const __fp16* img0 = bottom_blob.channel(0);
img0 += i * 4;
__fp16* tmpptr = tmp.channel(i / 8);
for (int q = 0; q < inch; q++)
{
// transpose 4x8
asm volatile(
"prfm pldl1keep, [%0, #512] \n"
"ld4 {v0.8h, v1.8h, v2.8h, v3.8h}, [%0] \n"
"st1 {v0.8h, v1.8h, v2.8h, v3.8h}, [%1], #64 \n"
: "=r"(img0), // %0
"=r"(tmpptr) // %1
: "0"(img0),
"1"(tmpptr)
: "memory", "v0", "v1", "v2", "v3");
img0 += bottom_blob.cstep * 4;
}
}
remain_size_start += nn_size << 3;
#pragma omp parallel for num_threads(opt.num_threads)
for (int i = remain_size_start; i < size; i++)
{
const __fp16* img0 = bottom_blob.channel(0);
img0 += i * 4;
__fp16* tmpptr = tmp.channel(i / 8 + i % 8);
for (int q = 0; q < inch; q++)
{
asm volatile(
"prfm pldl1keep, [%0, #64] \n"
"ld1 {v0.4h}, [%0] \n"
"st1 {v0.4h}, [%1], #8 \n"
: "=r"(img0), // %0
"=r"(tmpptr) // %1
: "0"(img0),
"1"(tmpptr)
: "memory", "v0");
img0 += bottom_blob.cstep * 4;
}
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
__fp16* outptr0 = top_blob.channel(p);
const __fp16 zeros[8] = {0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f};
const __fp16* biasptr = bias ? bias + p * 8 : zeros;
int i = 0;
for (; i + 7 < size; i += 8)
{
__fp16* tmpptr = tmp.channel(i / 8);
const __fp16* kptr = kernel.channel(p);
int nn = inch; // inch always > 0
asm volatile(
"ld1 {v16.8h}, [%8] \n"
"mov v17.16b, v16.16b \n"
"mov v18.16b, v16.16b \n"
"mov v19.16b, v16.16b \n"
"mov v20.16b, v16.16b \n"
"mov v21.16b, v16.16b \n"
"mov v22.16b, v16.16b \n"
"mov v23.16b, v16.16b \n"
"0: \n"
"prfm pldl1keep, [%2, #512] \n"
"ld1 {v0.8h, v1.8h, v2.8h, v3.8h}, [%2], #64 \n" // r0123
"prfm pldl1keep, [%3, #512] \n"
"ld1 {v8.8h, v9.8h, v10.8h, v11.8h}, [%3], #64 \n" // w0123
"fmla v16.8h, v8.8h, v0.h[0] \n"
"fmla v17.8h, v8.8h, v0.h[1] \n"
"fmla v18.8h, v8.8h, v0.h[2] \n"
"fmla v19.8h, v8.8h, v0.h[3] \n"
"fmla v20.8h, v8.8h, v0.h[4] \n"
"fmla v21.8h, v8.8h, v0.h[5] \n"
"fmla v22.8h, v8.8h, v0.h[6] \n"
"fmla v23.8h, v8.8h, v0.h[7] \n"
"fmla v16.8h, v9.8h, v1.h[0] \n"
"fmla v17.8h, v9.8h, v1.h[1] \n"
"fmla v18.8h, v9.8h, v1.h[2] \n"
"fmla v19.8h, v9.8h, v1.h[3] \n"
"fmla v20.8h, v9.8h, v1.h[4] \n"
"fmla v21.8h, v9.8h, v1.h[5] \n"
"fmla v22.8h, v9.8h, v1.h[6] \n"
"fmla v23.8h, v9.8h, v1.h[7] \n"
"fmla v16.8h, v10.8h, v2.h[0] \n"
"fmla v17.8h, v10.8h, v2.h[1] \n"
"fmla v18.8h, v10.8h, v2.h[2] \n"
"fmla v19.8h, v10.8h, v2.h[3] \n"
"fmla v20.8h, v10.8h, v2.h[4] \n"
"fmla v21.8h, v10.8h, v2.h[5] \n"
"fmla v22.8h, v10.8h, v2.h[6] \n"
"fmla v23.8h, v10.8h, v2.h[7] \n"
"fmla v16.8h, v11.8h, v3.h[0] \n"
"fmla v17.8h, v11.8h, v3.h[1] \n"
"fmla v18.8h, v11.8h, v3.h[2] \n"
"fmla v19.8h, v11.8h, v3.h[3] \n"
"fmla v20.8h, v11.8h, v3.h[4] \n"
"fmla v21.8h, v11.8h, v3.h[5] \n"
"fmla v22.8h, v11.8h, v3.h[6] \n"
"fmla v23.8h, v11.8h, v3.h[7] \n"
"subs %w0, %w0, #1 \n"
"bne 0b \n"
"st1 {v16.8h, v17.8h, v18.8h, v19.8h}, [%1], #64 \n"
"st1 {v20.8h, v21.8h, v22.8h, v23.8h}, [%1], #64 \n"
: "=r"(nn), // %0
"=r"(outptr0), // %1
"=r"(tmpptr), // %2
"=r"(kptr) // %3
: "0"(nn),
"1"(outptr0),
"2"(tmpptr),
"3"(kptr),
"r"(biasptr) // %8
: "cc", "memory", "v0", "v1", "v2", "v3", "v8", "v9", "v10", "v11", "v16", "v17", "v18", "v19", "v20", "v21", "v22", "v23");
}
for (; i < size; i++)
{
__fp16* tmpptr = tmp.channel(i / 8 + i % 8);
const __fp16* kptr = kernel.channel(p);
float16x8_t _sum0 = vld1q_f16(biasptr);
int q = 0;
for (; q < inch; q++)
{
float16x4_t _r0 = vld1_f16(tmpptr);
float16x8_t _k0 = vld1q_f16(kptr);
float16x8_t _k1 = vld1q_f16(kptr + 8);
float16x8_t _k2 = vld1q_f16(kptr + 16);
float16x8_t _k3 = vld1q_f16(kptr + 24);
_sum0 = vfmaq_lane_f16(_sum0, _k0, _r0, 0);
_sum0 = vfmaq_lane_f16(_sum0, _k1, _r0, 1);
_sum0 = vfmaq_lane_f16(_sum0, _k2, _r0, 2);
_sum0 = vfmaq_lane_f16(_sum0, _k3, _r0, 3);
kptr += 32;
tmpptr += 4;
}
vst1q_f16(outptr0, _sum0);
outptr0 += 8;
}
}
// // NOTE sgemm
// for (; p<outch; p++)
// {
// Mat out0 = top_blob.channel(p);
//
// const __fp16 bias0 = bias ? bias[p] : 0.f;
//
// __fp16* outptr0 = out0;
//
// for (int i=0; i<size; i++)
// {
// __fp16 sum = bias0;
//
// const __fp16* kptr = _kernel.channel(p);
//
// for (int q=0; q<inch; q++)
// {
// const __fp16* img0 = bottom_blob.channel(q);
//
// sum += img0[i] * kptr[0];
// kptr ++;
// }
//
// outptr0[i] = sum;
// }
// }
}
static void conv1x1s2_pack4to8_fp16sa_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int channels = bottom_blob.c;
size_t elemsize = bottom_blob.elemsize;
int elempack = bottom_blob.elempack;
int outw = top_blob.w;
int outh = top_blob.h;
const int tailstep = (w - 2 * outw + w) * 4;
Mat bottom_blob_shrinked;
bottom_blob_shrinked.create(outw, outh, channels, elemsize, elempack, opt.workspace_allocator);
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < channels; p++)
{
const __fp16* r0 = bottom_blob.channel(p);
__fp16* outptr = bottom_blob_shrinked.channel(p);
for (int i = 0; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
float16x4_t _v0 = vld1_f16(r0);
float16x4_t _v1 = vld1_f16(r0 + 8);
float16x4_t _v2 = vld1_f16(r0 + 16);
float16x4_t _v3 = vld1_f16(r0 + 24);
vst1_f16(outptr, _v0);
vst1_f16(outptr + 4, _v1);
vst1_f16(outptr + 8, _v2);
vst1_f16(outptr + 12, _v3);
r0 += 32;
outptr += 16;
}
for (; j + 1 < outw; j += 2)
{
float16x4_t _v0 = vld1_f16(r0);
float16x4_t _v1 = vld1_f16(r0 + 8);
vst1_f16(outptr, _v0);
vst1_f16(outptr + 4, _v1);
r0 += 16;
outptr += 8;
}
for (; j < outw; j++)
{
float16x4_t _v = vld1_f16(r0);
vst1_f16(outptr, _v);
r0 += 8;
outptr += 4;
}
r0 += tailstep;
}
}
conv1x1s1_sgemm_pack4to8_fp16sa_neon(bottom_blob_shrinked, top_blob, kernel, _bias, opt);
}
|
GB_unop__log_fc64_fc64.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the 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__log_fc64_fc64
// op(A') function: GB_unop_tran__log_fc64_fc64
// C type: GxB_FC64_t
// A type: GxB_FC64_t
// cast: GxB_FC64_t cij = aij
// unaryop: cij = clog (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 = clog (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] = clog (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_LOG || GxB_NO_FC64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__log_fc64_fc64
(
GxB_FC64_t *Cx, // Cx and Ax may be aliased
const GxB_FC64_t *Ax,
const int8_t *GB_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)
{
#if ( GB_OP_IS_IDENTITY_WITH_NO_TYPECAST )
GB_memcpy (Cx, Ax, anz * sizeof (GxB_FC64_t), nthreads) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GxB_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = clog (z) ;
}
#endif
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
GxB_FC64_t aij = Ax [p] ;
GxB_FC64_t z = aij ;
Cx [p] = clog (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_tran__log_fc64_fc64
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Workspaces,
const int64_t *GB_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
|
2mm.c | /**
* 2mm.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 <assert.h>
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#include <unistd.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include "BenchmarksUtil.h"
#define NI SIZE
#define NJ SIZE
#define NK SIZE
#define NL SIZE
#pragma GCC diagnostic ignored "-Wbuiltin-macro-redefined"
#pragma clang diagnostic ignored "-Wmacro-redefined"
#define ERROR_THRESHOLD 1.5
/* Can switch DATA_TYPE between float and double */
typedef float DATA_TYPE;
/**
* @brief Initialize operand matrices
*
* @param A
* @param B
* @param D
*/
void init_array(DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *D) {
int i, j;
for (i = 0; i < NI; i++) {
for (j = 0; j < NK; j++) {
A[i * NI + j] = ((DATA_TYPE)i * j) / NI;
}
}
for (i = 0; i < NK; i++) {
for (j = 0; j < NJ; j++) {
B[i * NK + j] = ((DATA_TYPE)i * (j + 1)) / NJ;
}
}
for (i = 0; i < NI; i++) {
for (j = 0; j < NL; j++) {
D[i * NL + j] = ((DATA_TYPE)i * (j + 2)) / NK;
}
}
}
/**
* @brief
*
* @param E Expected result matrix
* @param E_OMP Obtained matrix
* @return int Number of detected fails
*/
int compareResults(DATA_TYPE *E, DATA_TYPE *E_OMP) {
int i, j, fail;
fail = 0;
for (i = 0; i < NL; i++) {
for (j = 0; j < NI; j++) {
if (percentDiff(E[i * NI + j], E_OMP[i * NI + j]) > ERROR_THRESHOLD) {
fail++;
}
}
}
return fail;
}
/**
* @brief Sequential CPU version to compute A.B.D matrixes
*
* @param A Input
* @param B Input
* @param C Auxiliar
* @param D Input
* @param E Output
*/
void mm2(DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *C, DATA_TYPE *D,
DATA_TYPE *E) {
int i, j, k;
for (i = 0; i < NI; i++) {
for (j = 0; j < NJ; j++) {
C[i * NJ + j] = 0.0;
for (k = 0; k < NK; ++k) {
C[i * NJ + j] += A[i * NK + k] * B[k * NJ + j];
}
}
}
for (i = 0; i < NI; i++) {
for (j = 0; j < NL; j++) {
E[i * NL + j] = 0.0;
for (k = 0; k < NJ; ++k) {
E[i * NL + j] += C[i * NJ + k] * D[k * NL + j];
}
}
}
}
/**
* @brief OMP version to compute A.B.D matrixes
*
* @param A Input
* @param B Input
* @param C Auxiliar
* @param D Input
* @param E Output
*/
void mm2_OMP(DATA_TYPE *A, DATA_TYPE *B, DATA_TYPE *C, DATA_TYPE *D, DATA_TYPE *E) {
#pragma omp target teams map(from: E[:NI*NL], C[:NI*NJ]) map(to: A[:NI*NK], B[:NK*NJ], D[:NJ*NL]) device(OMP_DEVICE_ID)
{
#pragma omp distribute parallel for collapse(2)
for (int i = 0; i < NI; i++) {
for (int j = 0; j < NJ; j++) {
LLVM_MCA_BEGIN("kernel");
C[i * NJ + j] = 0.0;
for (int k = 0; k < NK; ++k) {
C[i * NJ + j] += A[i * NK + k] * B[k * NJ + j];
}
LLVM_MCA_END("kernel");
}
}
#pragma omp distribute parallel for collapse(2)
for (int i = 0; i < NI; i++) {
for (int j = 0; j < NL; j++) {
E[i * NL + j] = 0.0;
for (int k = 0; k < NJ; ++k) {
E[i * NL + j] += C[i * NJ + k] * D[k * NL + j];
}
}
}
}
}
int main(int argc, char **argv) {
fprintf(stdout,
"<< Linear Algebra: 2 Matrix Multiplications (C=A.B; E=C.D) >>\n");
// declare arrays and allocate memory
DATA_TYPE *A = (DATA_TYPE *)malloc(NI * NK * sizeof(DATA_TYPE));
DATA_TYPE *B = (DATA_TYPE *)malloc(NK * NJ * sizeof(DATA_TYPE));
DATA_TYPE *D = (DATA_TYPE *)malloc(NJ * NL * sizeof(DATA_TYPE));
DATA_TYPE *C = NULL;
DATA_TYPE *C_OMP = NULL;
DATA_TYPE *E = NULL;
DATA_TYPE *E_OMP = NULL;
// init operand matrices
init_array(A, B, D);
// run OMP on GPU or CPU if enabled
#if defined(RUN_OMP_GPU) || defined(RUN_OMP_CPU)
C_OMP = (DATA_TYPE *)calloc(NI * NJ, sizeof(DATA_TYPE));
E_OMP = (DATA_TYPE *)calloc(NI * NL, sizeof(DATA_TYPE));
BENCHMARK_OMP(mm2_OMP(A, B, C_OMP, D, E_OMP));
// prevent dead code elimination
DCE_PREVENT(E_OMP, NI*NL);
#endif
// run sequential version if enabled
#ifdef RUN_CPU_SEQ
C = (DATA_TYPE *)calloc(NI * NJ, sizeof(DATA_TYPE));
E = (DATA_TYPE *)calloc(NI * NL, sizeof(DATA_TYPE));
BENCHMARK_CPU(mm2(A, B, C, D, E));
// prevent dead code elimination
DCE_PREVENT(E, NI*NL);
#endif
// if TEST is enabled, then compare OMP results against sequential mode
int fail = 0;
#ifdef RUN_TEST
fail += compareResults(C, C_OMP);
fail += compareResults(E, E_OMP);
printf("Errors on OMP (threshold %4.2lf): %d\n", ERROR_THRESHOLD, fail);
#endif
/** Release memory */
free(A);
free(B);
free(D);
free(C_OMP);
free(E_OMP);
free(C);
free(E);
return fail;
}
|
dataCostD.h |
void interp3xyz(float* datai,float* data,float* datax,float* datay,int len1,int len2){
//x-interp
for(int k=0;k<len1;k++){
for(int j=0;j<len2;j++){
int j2=(j+1)/2;
if(j%2==1){
for(int i=0;i<len1;i++){
datax[i+j*len1+k*len1*len2]=data[i+j2*len1+k*len1*len1];
}
}
else
for(int i=0;i<len1;i++){
datax[i+j*len1+k*len1*len2]=0.5*(data[i+j2*len1+k*len1*len1]+data[i+(j2+1)*len1+k*len1*len1]);
}
}
}
//y-interp
for(int k=0;k<len1;k++){
for(int j=0;j<len2;j++){
for(int i=0;i<len2;i++){
int i2=(i+1)/2;
if(i%2==1)
datay[i+j*len2+k*len2*len2]=datax[i2+j*len1+k*len1*len2];
else
datay[i+j*len2+k*len2*len2]=0.5*(datax[i2+j*len1+k*len1*len2]+datax[i2+1+j*len1+k*len1*len2]);
}
}
}
//z-interp
for(int k=0;k<len2;k++){
int k2=(k+1)/2;
if(k%2==1){
for(int j=0;j<len2;j++){
for(int i=0;i<len2;i++){
datai[i+j*len2+k*len2*len2]=datay[i+j*len2+k2*len2*len2];
}
}
}
else{
for(int j=0;j<len2;j++){
for(int i=0;i<len2;i++){
datai[i+j*len2+k*len2*len2]=0.5*(datay[i+j*len2+k2*len2*len2]+datay[i+j*len2+(k2+1)*len2*len2]);
}
}
}
}
}
void interp3xyzB(float* datai,float* data,float* datax,float* datay,int len1,int len2){
//x-interp
for(int k=0;k<len1;k++){
for(int j=0;j<len2;j++){
int j2=(j+1)/2;
if(j%2==0){
for(int i=0;i<len1;i++){
datax[i+j*len1+k*len1*len2]=data[i+j2*len1+k*len1*len1];
}
}
else
for(int i=0;i<len1;i++){
datax[i+j*len1+k*len1*len2]=0.5*(data[i+j2*len1+k*len1*len1]+data[i+(j2-1)*len1+k*len1*len1]);
}
}
}
//y-interp
for(int k=0;k<len1;k++){
for(int j=0;j<len2;j++){
for(int i=0;i<len2;i++){
int i2=(i+1)/2;
if(i%2==0)
datay[i+j*len2+k*len2*len2]=datax[i2+j*len1+k*len1*len2];
else
datay[i+j*len2+k*len2*len2]=0.5*(datax[i2+j*len1+k*len1*len2]+datax[i2-1+j*len1+k*len1*len2]);
}
}
}
//z-interp
for(int k=0;k<len2;k++){
int k2=(k+1)/2;
if(k%2==0){
for(int j=0;j<len2;j++){
for(int i=0;i<len2;i++){
datai[i+j*len2+k*len2*len2]=datay[i+j*len2+k2*len2*len2];
}
}
}
else{
for(int j=0;j<len2;j++){
for(int i=0;i<len2;i++){
datai[i+j*len2+k*len2*len2]=0.5*(datay[i+j*len2+k2*len2*len2]+datay[i+j*len2+(k2-1)*len2*len2]);
}
}
}
}
}
void dataCostCL(
unsigned long* data,
unsigned long* data2,
float* results,
int m,int n,int o,int len2,int step1,int hw,float quant,float alpha,int randnum){
// Returns mind sums of patches (voxel size images are reduced to patches) given two mind-images
int len=hw*2+1;
len2=pow(hw*2+1,3); //len2 is calculated again (see linearBCV.cpp)
//hw is search radius
int sz=m*n*o; //full size
int m1=m/step1; int n1=n/step1; int o1=o/step1; //gridded cell size
int sz1=m1*n1*o1;
//cout<<"len2: "<<len2<<" sz1= "<<sz1<<"\n";
int quant2=quant;
//const int hw2=hw*quant2; == pad1
// quant means dilation, hw means search window width == search steps
int pad1=quant2*hw; //pad stop = quant * search_radius
int pad2=pad1*2; // uniform padding = 2* quant * search_radius
int mp=m+pad2;//m_padded - uniform padding for all x,y,z
int np=n+pad2;//n_padded
int op=o+pad2;//o_padded
int szp=mp*np*op;
unsigned long* data2p=new unsigned long[szp];
// std::cout<<"\ndata=";
// for(int pri=0;pri<m*n*o;pri++){
// std::cout<<data[pri]<<" ";
// }
// std::cout<<"\n";
// std::cout<<"\ndata2=";
// for(int pri=0;pri<m*n*o;pri++){
// std::cout<<data2[pri]<<" ";
// }
// std::cout<<"\n";
// std::cout<<"\ndata2p=";
// for(int pri=0;pri<szp;pri++){
// std::cout<<data2p[pri]<<" ";
// }
std::cout<<"\n";
// apply padding quant * search_radius in all 8 directions
for(int k=0;k<op;k++){
for(int j=0;j<np;j++){
for(int i=0;i<mp;i++){
data2p[i+j*mp+k*mp*np]=data2[max(min(i-pad1,m-1),0) // 0 to x_max_idx but with x offset (shift of half padding to center data)
+max(min(j-pad1,n-1),0)*m
+max(min(k-pad1,o-1),0)*m*n]; //replication padding
}
}
}
int skipz=1; int skipx=1; int skipy=1; //define kernel steps to be skipped
if(step1>4){
if(randnum>0){
//true for linearBCV and deedsBCV
skipz=2; skipx=2;
}
if(randnum>1){
//wrong for linearBCV
skipy=2;
}
}
if(randnum>1&step1>7){
//wrong for linearBCV
skipz=3; skipx=3; skipy=3;
}
if(step1==4&randnum>1)
//wrong for linearBCV
skipz=2;
float maxsamp=ceil((float)step1/(float)skipx)
*ceil((float)step1/(float)skipz)
*ceil((float)step1/(float)skipy); //maxsamples per kernel microsteps in x,y,z (sparse)
//printf("randnum: %d, maxsamp: %d ",randnum,(int)maxsamp);
float alphai=(float)step1/(alpha*(float)quant); //linearBCV alpha=1
float alpha1=0.5*alphai/(float)(maxsamp); //alpha1 = step/(alpha*quant) // this scales the mind datacost against the quadratic offset distance regularisation
//unsigned long buffer[1000];
std::cout<<"skipz="<<skipz;
std::cout<<"skipy="<<skipy;
std::cout<<"skipx="<<skipx;
#pragma omp parallel for
// iterate over patches
for(int z=0;z<o1;z++){ // iterate gridded z
for(int x=0;x<n1;x++){ // iterate gridded y
for(int y=0;y<m1;y++){ //iterate gridded x
int z1=z*step1;
int x1=x*step1;
int y1=y*step1; //for every patch coordinate x,y,z get corner starting voxel coordinate of the patch, position of patch1
/*for(int k=0;k<step1;k++){
for(int j=0;j<step1;j++){
for(int i=0;i<step1;i++){
buffer[i+j*step1+k*step1*step1]=data[i+y1+(j+x1)*m+(k+z1)*m*n];
}
}
}*/
for(int l=0;l<len2;l++){ //iterate over kernel_entries
int out1=0; //will be summed up
int zs=l/(len*len);
int xs=(l-zs*len*len)/len;
int ys=l-zs*len*len-xs*len;
//get position of search (ys increases faster than xs than zs)
// (xs,ys,zs) is center of search kernel
zs*=quant;
xs*=quant;
ys*=quant; // apply dilation to search coordinates
int x2=xs+x1;
int z2=zs+z1;
int y2=ys+y1; // per (x1,z1,y1) we add relative search position (xs, zs, ys) // position of patch2
for(int k=0;k<step1;k+=skipz){ //iterate steps, skip one, skip two etc. i.e. sparse microsteps
for(int j=0;j<step1;j+=skipx){
for(int i=0;i<step1;i+=skipy){
//iterate over every voxel of a patch
//unsigned int t=buffer[i+j*STEP+k*STEP*STEP]^buf2p[i+j*mp+k*mp*np];
//out1+=(wordbits[t&0xFFFF]+wordbits[t>>16]);
unsigned long t1=data [i+y1 + (j+x1)*m+ (k+z1)*m*n];//buffer[i+j*step1+k*step1*step1];
unsigned long t2=data2p [i+y2 + (j+x2)*mp+ (k+z2)*mp*np];//last term is search offset
// t2=data2p [i+y2 (j+x2)*mp+ (k+z2)*mp*np]; // y2,x2,z2 contain search offset
std::cout<<"\npopcountll: "<<__builtin_popcountll(t1^t2)<<"\n";
out1+=__builtin_popcountll(t1^t2); //bitwise xor -> are mind features either both1 or both zero? count ones in bitstream // patch2 - patch1
//count differences in mind features per voxel in a patch for every search position
//patch_cube_size * search_cube_size dimension
//out one is patch cost.
}
}
}
results[(y+x*m1+z*m1*n1)*len2+l]=out1*alpha1; // divide by samplecount of microsteps
// store scaled patch costs as difference of patches (center_patch - search patch around search position) -> What would be the cost if the center patch is moved to the search position?
// alpha1 also scales this cost agains the quadratic offset model build up in regularisationCL. There the cost is just added to the datacost valued calculated here
}
}
}
}
std::cout<<"\nalpha1: "<<alpha1<<"\n";
delete[] data2p;
return;
}
void warpImageCL(float* warped,float* im1,float* im1b,float* u1,float* v1,float* w1){
int m=image_m;
int n=image_n;
int o=image_o;
int sz=m*n*o;
float ssd=0;
float ssd0=0;
float ssd2=0;
interp3(warped,im1,u1,v1,w1,m,n,o,m,n,o,true);
for(int i=0;i<m;i++){
for(int j=0;j<n;j++){
for(int k=0;k<o;k++){
ssd+=pow(im1b[i+j*m+k*m*n]-warped[i+j*m+k*m*n],2);
ssd0+=pow(im1b[i+j*m+k*m*n]-im1[i+j*m+k*m*n],2);
}
}
}
ssd/=m*n*o;
ssd0/=m*n*o;
SSD0=ssd0;
SSD1=ssd;
}
void warpAffineS(short* warped,short* input,float* X,
float* u1,float* v1,float* w1, int m=image_m, int n=image_n, int o=image_o){ // flow field
// int m=image_m;
// int n=image_n;
// int o=image_o;
// std::cout<<"\nshort input_img=";
// for(int pri=0;pri<m*n*o ;pri++){
// std::cout<<input[pri]<<" ";
// }
// std::cout<<"\nfloat X=";
// for(int pri=0;pri<12 ;pri++){
// std::cout<<X[pri]<<" ";
// }
// std::cout<<"\nfloat u1=";
// for(int pri=0;pri<m*n*o ;pri++){
// std::cout<<u1[pri]<<" ";
// }
int sz=m*n*o;
for(int k=0;k<o;k++){
for(int j=0;j<n;j++){
for(int i=0;i<m;i++){
// affine transformation (every x + y + z) + flow field displacement -> get x,y,z for lookup in input image
float y1=(float)i*X[0]+(float)j*X[1]+(float)k*X[2]+(float)X[3]+v1[i+j*m+k*m*n];
float x1=(float)i*X[4]+(float)j*X[5]+(float)k*X[6]+(float)X[7]+u1[i+j*m+k*m*n];
float z1=(float)i*X[8]+(float)j*X[9]+(float)k*X[10]+(float)X[11]+w1[i+j*m+k*m*n];
//do not interpolate looked up values
int x=round(x1); int y=round(y1); int z=round(z1);
//if(y>=0&x>=0&z>=0&y<m&x<n&z<o){
//lookup x,y,z and store to warped image
warped[i+j*m+k*m*n]=input[min(max(y,0),m-1)+min(max(x,0),n-1)*m+min(max(z,0),o-1)*m*n];
//}
//else{
// warped[i+j*m+k*m*n]=0;
//}
}
}
}
// no distance metric here
// std::cout<<"\nshort warped=";
// for(int pri=0;pri<m*n*o ;pri++){
// std::cout<<warped[pri]<<" ";
// }
}
void warpAffine(float* warped,float* input,float* im1b,float* X,float* u1,float* v1,float* w1, int m=image_m, int n=image_n, int o=image_o){
int sz=m*n*o;
float ssd=0;
float ssd0=0;
float ssd2=0;
for(int k=0;k<o;k++){
for(int j=0;j<n;j++){
for(int i=0;i<m;i++){
float y1=(float)i*X[0]+(float)j*X[1]+(float)k*X[2]+(float)X[3]+v1[i+j*m+k*m*n];
float x1=(float)i*X[4]+(float)j*X[5]+(float)k*X[6]+(float)X[7]+u1[i+j*m+k*m*n];
float z1=(float)i*X[8]+(float)j*X[9]+(float)k*X[10]+(float)X[11]+w1[i+j*m+k*m*n];
//interpolate looked up values (see also interp3)
int x=floor(x1); int y=floor(y1); int z=floor(z1);
float dx=x1-x; float dy=y1-y; float dz=z1-z;
warped[i+j*m+k*m*n]=(1.0-dx)*(1.0-dy)*(1.0-dz)*input[min(max(y,0),m-1)
+min(max(x,0),n-1)*m+min(max(z,0),o-1)*m*n]
+(1.0-dx)*dy*(1.0-dz) * input[min(max(y+1,0),m-1)+min(max(x,0),n-1)*m+min(max(z,0),o-1)*m*n]
+dx*(1.0-dy)*(1.0-dz) * input[min(max(y,0),m-1)+min(max(x+1,0),n-1)*m+min(max(z,0),o-1)*m*n]
+(1.0-dx)*(1.0-dy)*dz * input[min(max(y,0),m-1)+min(max(x,0),n-1)*m+min(max(z+1,0),o-1)*m*n]
+dx*dy*(1.0-dz) * input[min(max(y+1,0),m-1)+min(max(x+1,0),n-1)*m+min(max(z,0),o-1)*m*n]
+(1.0-dx)*dy*dz * input[min(max(y+1,0),m-1)+min(max(x,0),n-1)*m+min(max(z+1,0),o-1)*m*n]
+dx*(1.0-dy)*dz * input[min(max(y,0),m-1)+min(max(x+1,0),n-1)*m+min(max(z+1,0),o-1)*m*n]
+dx*dy*dz * input[min(max(y+1,0),m-1)+min(max(x+1,0),n-1)*m+min(max(z+1,0),o-1)*m*n];
}
}
}
for(int i=0;i<m;i++){
for(int j=0;j<n;j++){
for(int k=0;k<o;k++){
//squared(intensity differences)
ssd+=pow(im1b[i+j*m+k*m*n]-warped[i+j*m+k*m*n],2);
ssd0+=pow(im1b[i+j*m+k*m*n]-input[i+j*m+k*m*n],2);
}
}
}
ssd/=m*n*o; // normalize with total size
ssd0/=m*n*o;
SSD0=ssd0;
SSD1=ssd;
}
// libtorch unittest API
torch::Tensor datacost_d_warpAffineS(
torch::Tensor moving,
torch::Tensor pInput_T,
torch::Tensor pInput_u1,
torch::Tensor pInput_v1,
torch::Tensor pInput_w1) {
torch::Tensor moving_copy = moving.clone();
torch::Tensor input_u1_copy = pInput_u1.clone();
torch::Tensor input_v1_copy = pInput_v1.clone();
torch::Tensor input_w1_copy = pInput_w1.clone();
torch::Tensor input_T_copy = pInput_T.clone();
int m = moving.size(0);
int n = moving.size(1);
int o = moving.size(2);
float* u1 = input_u1_copy.data_ptr<float>();
float* v1 = input_v1_copy.data_ptr<float>();
float* w1 = input_w1_copy.data_ptr<float>();
float* T = input_T_copy.data_ptr<float>();
short* input_moving = moving_copy.data_ptr<short>();
short* warped= new short[m*n*o];
warpAffineS(warped,input_moving,T,u1,v1,w1, m, n, o);
// std::cout<<"\nshort warp=";
// for(int pri=0;pri<m*n*o ;pri++){
// std::cout<<warp[pri]<<" ";
// }
std::vector<short> warp_vect{warped, warped+m*n*o};
auto options = torch::TensorOptions().dtype(torch::kShort);
return torch::from_blob(warp_vect.data(), {m,n,o}, options).clone();
}
torch::Tensor datacost_d_warpAffine(
torch::Tensor moving,
torch::Tensor pInput_T,
torch::Tensor pInput_u1,
torch::Tensor pInput_v1,
torch::Tensor pInput_w1) {
torch::Tensor moving_copy = moving.clone();
torch::Tensor input_u1_copy = pInput_u1.clone();
torch::Tensor input_v1_copy = pInput_v1.clone();
torch::Tensor input_w1_copy = pInput_w1.clone();
torch::Tensor input_T_copy = pInput_T.clone();
int m = moving.size(0);
int n = moving.size(1);
int o = moving.size(2);
float* u1 = input_u1_copy.data_ptr<float>();
float* v1 = input_v1_copy.data_ptr<float>();
float* w1 = input_w1_copy.data_ptr<float>();
float* T = input_T_copy.data_ptr<float>();
float* input_moving = moving_copy.data_ptr<float>();
float* dummy_compare_image = new float[m*n*o];
float* warped = new float[m*n*o];
warpAffine(warped,input_moving,dummy_compare_image,T,u1,v1,w1, m, n, o);
std::vector<float> warp_vect{warped, warped+m*n*o};
auto options = torch::TensorOptions().dtype(torch::kFloat);
return torch::from_blob(warp_vect.data(), {m,n,o}, options).clone();
}
torch::Tensor datacost_d_datacostCL(torch::Tensor pMind_img_a, torch::Tensor pMind_img_b, torch::Tensor pGrid_divisor, torch::Tensor pHw, torch::Tensor pDilation, torch::Tensor pAlpha) {
// Prepare input variables
torch::Tensor mind_img_a_copy = pMind_img_a.clone();
torch::Tensor mind_img_b_copy = pMind_img_b.clone();
int o = mind_img_a_copy.size(0);
int n = mind_img_a_copy.size(1);
int m = mind_img_a_copy.size(2);
int64_t* mind_img_a = mind_img_a_copy.data_ptr<int64_t>();
// std::cout<<"\nmind_img_a=";
// for(int pri=0;pri<m*n*o;pri++){
// std::cout<<mind_img_a[pri]<<" ";
// }
// std::cout<<"\n";
int64_t* mind_img_b = mind_img_b_copy.data_ptr<int64_t>();
// unsigned long* mind_img_a_ulong = (unsigned long*)((void*)&mind_img_a);
unsigned long* mind_img_a_ulong = reinterpret_cast<unsigned long*>(mind_img_a);
unsigned long* mind_img_b_ulong = reinterpret_cast<unsigned long*>(mind_img_b);
int grid_divisor = *(pGrid_divisor.data_ptr<int>());
int hw = *(pHw.data_ptr<int>());
int dilation = *(pDilation.data_ptr<int>());
float alpha = *(pAlpha.data_ptr<float>());
// Prepare output variables
int results_len = m*n*o*pow(hw*2+1,3);
float* results = new float[results_len];
//len2 is 0 since its unused in fuction and RANDNUM = 1 since this is fixed for all calls in deeds
dataCostCL(mind_img_a_ulong, mind_img_b_ulong, results, o, m, n, 0, grid_divisor, hw, dilation, alpha, 1);
// use o, m, n here as ordering is changed of y,x in cpp code
// Prepare lib output
std::vector<float> results_vect{results, results+results_len};
auto float_options = torch::TensorOptions().dtype(torch::kFloat);
return torch::from_blob(results_vect.data(), {n/grid_divisor,m/grid_divisor,o/grid_divisor,int(pow(hw*2+1,3))}, float_options).clone();
} |
matrix.c |
/******************************************************************************
* INCLUDES
*****************************************************************************/
#include "base.h"
#include "matrix.h"
#include "util.h"
#include "timer.h"
#include "splatt_lapack.h"
#include "splatt_debug.h"
#include <math.h>
#ifdef SPLATT_USE_MPI
#include <mpi.h>
#else
/* define MPI_Comm to make life easier without MPI */
typedef int MPI_Comm;
#endif
/******************************************************************************
* PRIVATE FUNCTIONS
*****************************************************************************/
/**
* @brief Normalize each column of a and store the column l_2 norms in 'lambda'.
* If SPLATt_USE_MPI is defined, it will aggregate the norms over MPI
* communicator 'comm'. 'comm' is not touched if SPLATT_USE_MPI is not
* defined.
*
* @param[out] A The matrix whose columns we normalze.
* @param[out] lambda The column norms.
* @param comm The MPI communicator.
*/
static void p_mat_2norm(
matrix_t * const A,
val_t * const restrict lambda,
MPI_Comm comm)
{
idx_t const I = A->I;
idx_t const J = A->J;
val_t * const restrict vals = A->vals;
#pragma omp parallel
{
int const tid = splatt_omp_get_thread_num();
val_t * restrict mylambda = splatt_malloc(J * sizeof(*mylambda));
for(idx_t j=0; j < J; ++j) {
mylambda[j] = 0;
}
#pragma omp for schedule(static)
for(idx_t i=0; i < I; ++i) {
for(idx_t j=0; j < J; ++j) {
mylambda[j] += vals[j + (i*J)] * vals[j + (i*J)];
}
}
/* do reduction on partial sums */
thread_allreduce(mylambda, J, SPLATT_REDUCE_SUM);
#pragma omp master
{
#ifdef SPLATT_USE_MPI
/* now do an MPI reduction to get the global lambda */
timer_start(&timers[TIMER_MPI_NORM]);
timer_start(&timers[TIMER_MPI_COMM]);
MPI_Allreduce(mylambda, lambda, J, SPLATT_MPI_VAL, MPI_SUM, comm);
timer_stop(&timers[TIMER_MPI_COMM]);
timer_stop(&timers[TIMER_MPI_NORM]);
#else
for(idx_t j=0; j < J; ++j) {
lambda[j] = mylambda[j];
}
#endif
/* compute the final norms */
for(idx_t j=0; j < J; ++j) {
lambda[j] = sqrt(lambda[j]);
}
}
#pragma omp barrier
/* do the normalization */
#pragma omp for schedule(static)
for(idx_t i=0; i < I; ++i) {
for(idx_t j=0; j < J; ++j) {
vals[j+(i*J)] /= lambda[j];
}
}
splatt_free(mylambda);
} /* end omp parallel */
}
/******************************************************************************
* PUBLIC FUNCTIONS
*****************************************************************************/
void mat_solve_cholesky_with_fallback(
matrix_t * const A,
matrix_t * const rhs, bool is_spd)
{
/* First run Cholesky factorization */
// bool is_spd;
// is_spd = mat_cholesky_(A, &is_spdd);
// /* check dimensions */
// assert(A->I == A->J);
splatt_blas_int N = A->I;
/* Solve against rhs */
char tri = 'L';
splatt_blas_int lda = N;
splatt_blas_int info;
splatt_blas_int nrhs = rhs->I;
splatt_blas_int ldb = N;
// LAPACK_DPOTRS(&tri, &N, &nrhs, A->vals, &lda, rhs->vals, &ldb, &info);
/* Solve linear equation */
if (is_spd) {
// Run DPOTRS
/* Solve against rhs */
LAPACK_DPOTRS(&tri, &N, &nrhs, A->vals, &lda, rhs->vals, &ldb, &info);
if(info) {
// When solve fails, there's no fallback for this case
fprintf(stderr, "SPLATT: DPOTRS returned %d\n", info);
}
} else {
// Run SVD solver
/*
fprintf(stderr, "\n\n\nPreparing SVD solve\n");
fprintf(stderr, "\n\nPrinting matrix A\n");
print_matrix_(A);
fprintf(stderr, "\n\nPrinting matrix RHS\n");
print_matrix_(rhs);
fprintf(stderr, "Running SVD solver\n");
*/
splatt_blas_int effective_rank;
val_t * conditions = splatt_malloc(N * sizeof(*conditions));
/* query worksize */
splatt_blas_int lwork = -1;
val_t rcond = -1.0f;
val_t work_query;
SPLATT_BLAS(gelss)(&N, &N, &nrhs,
A->vals, &lda,
rhs->vals, &ldb,
conditions, &rcond, &effective_rank,
&work_query, &lwork, &info);
lwork = (splatt_blas_int) work_query;
/*
fprintf(stderr, "Worksize query complete\n");
*/
/* setup workspace */
val_t * work = splatt_malloc(lwork * sizeof(*work));
/* Use an SVD solver */
SPLATT_BLAS(gelss)(&N, &N, &nrhs,
A->vals, &lda,
rhs->vals, &ldb,
conditions, &rcond, &effective_rank,
work, &lwork, &info);
/*
fprintf(stderr, "Actual solving complete\n");
*/
if(info) {
fprintf(stderr, "SPLATT: DGELSS returned %d\n", info);
exit(1);
}
else {
/*
fprintf(stderr, "\n\n\nActual solving complete\n");
fprintf(stderr, "SPLATT: DGELSS effective rank: %d\n", effective_rank);
fprintf(stderr, "\n\nPrinting matrix A\n");
print_matrix_(A);
fprintf(stderr, "\n\nPrinting matrix RHS\n");
print_matrix_(rhs);
*/
}
splatt_free(conditions);
splatt_free(work);
}
}
bool mat_cholesky_(
matrix_t const * const A)
{
/* check dimensions */
assert(A->I == A->J);
/* Cholesky factorization */
splatt_blas_int N = A->I;
val_t * const restrict neqs = A->vals;
// Create copy of neqs in case it fails
val_t * A_vals_cpy = (val_t*) malloc(A->I * A->J * sizeof(val_t));
memcpy(A_vals_cpy, A->vals, A->I * A->J * sizeof(val_t));
char uplo = 'L';
splatt_blas_int order = N;
splatt_blas_int lda = N;
splatt_blas_int info;
LAPACK_DPOTRF(&uplo, &order, neqs, &lda, &info);
if(info) {
fprintf(stderr, "SPLATT: DPOTRF returned %d\n", info);
// Revert back to originial A
memcpy(neqs, A_vals_cpy, A->I * A->J * sizeof(val_t));
return false;
}
return true;
}
void mat_cholesky(
matrix_t const * const A)
{
timer_start(&timers[TIMER_CHOLESKY]);
/* check dimensions */
assert(A->I == A->J);
/* Cholesky factorization */
splatt_blas_int N = A->I;
val_t * const restrict neqs = A->vals;
char uplo = 'L';
splatt_blas_int order = N;
splatt_blas_int lda = N;
splatt_blas_int info;
LAPACK_DPOTRF(&uplo, &order, neqs, &lda, &info);
if(info) {
fprintf(stderr, "SPLATT: DPOTRF returned %d\n", info);
}
timer_stop(&timers[TIMER_CHOLESKY]);
}
void mat_solve_cholesky(
matrix_t * const cholesky,
matrix_t * const rhs)
{
/* Chunked AO-ADMM will call this from a parallel region. */
if(!splatt_omp_in_parallel()) {
timer_start(&timers[TIMER_BACKSOLVE]);
}
splatt_blas_int N = cholesky->I;
/* Solve against rhs */
char tri = 'L';
splatt_blas_int lda = N;
splatt_blas_int info;
splatt_blas_int nrhs = rhs->I;
splatt_blas_int ldb = N;
LAPACK_DPOTRS(&tri, &N, &nrhs, cholesky->vals, &lda, rhs->vals, &ldb, &info);
if(info) {
fprintf(stderr, "SPLATT: DPOTRS returned %d\n", info);
}
if(!splatt_omp_in_parallel()) {
timer_stop(&timers[TIMER_BACKSOLVE]);
}
}
val_t mat_trace(
matrix_t const * const A)
{
assert(A->I == A->J);
idx_t const N = A->I;
val_t const * const restrict vals = A->vals;
val_t trace = 0.;
for(idx_t i=0; i < N; ++i) {
trace += vals[i + (i*N)];
}
return trace;
}
void mat_aTa(
matrix_t const * const A,
matrix_t * const ret)
{
timer_start(&timers[TIMER_ATA]);
/* check matrix dimensions */
assert(ret->I == ret->J);
assert(ret->I == A->J);
assert(ret->vals != NULL);
assert(A->rowmajor);
assert(ret->rowmajor);
idx_t const I = A->I;
idx_t const F = A->J;
char uplo = 'L';
char trans = 'N'; /* actually do A * A' due to row-major ordering */
splatt_blas_int N = (splatt_blas_int) F;
splatt_blas_int K = (splatt_blas_int) I;
splatt_blas_int lda = N;
splatt_blas_int ldc = N;
val_t alpha = 1.;
val_t beta = 0.;
SPLATT_BLAS(syrk)(
&uplo, &trans,
&N, &K,
&alpha,
A->vals, &lda,
&beta,
ret->vals, &ldc);
timer_stop(&timers[TIMER_ATA]);
}
#ifdef SPLATT_USE_MPI
void mat_aTa_mpi(
matrix_t const * const A,
matrix_t * const ret,
MPI_Comm comm)
{
/* local matrix multiplication */
mat_aTa(A, ret);
/* aggregate results */
idx_t const F = A->J;
timer_start(&timers[TIMER_ATA]);
timer_start(&timers[TIMER_MPI_ATA]);
timer_start(&timers[TIMER_MPI_COMM]);
MPI_Allreduce(MPI_IN_PLACE, ret->vals, F * F, SPLATT_MPI_VAL, MPI_SUM, comm);
timer_stop(&timers[TIMER_MPI_COMM]);
timer_stop(&timers[TIMER_MPI_ATA]);
timer_stop(&timers[TIMER_ATA]);
}
#endif
void mat_matmul(
matrix_t const * const A,
matrix_t const * const B,
matrix_t * const C)
{
timer_start(&timers[TIMER_MATMUL]);
C->I = A->I;
C->J = B->J;
/* check dimensions */
assert(A->J == B->I);
assert(C->I * C->J <= A->I * B->J);
/* set dimensions */
C->I = A->I;
C->J = B->J;
/* This calls column-major BLAS by instead computing: C^T = B^T * A^T. */
char transA = 'N';
char transB = 'N';
val_t * a_vals = B->vals;
val_t * b_vals = A->vals;
val_t * c_vals = C->vals;
splatt_blas_int M = B->J;
splatt_blas_int N = A->I;
splatt_blas_int K = A->J;
splatt_blas_int lda = M;
splatt_blas_int ldb = K;
splatt_blas_int ldc = M;
val_t alpha = 1.;
val_t beta = 0.;
SPLATT_BLAS(gemm)(
&transA, &transB,
&M, &N, &K,
&alpha,
a_vals, &lda,
b_vals, &ldb,
&beta,
c_vals, &ldc);
timer_stop(&timers[TIMER_MATMUL]);
}
void mat_normalize(
matrix_t * const A,
val_t * const restrict lambda)
{
timer_start(&timers[TIMER_MATNORM]);
#ifdef SPLATT_USE_MPI
/* passing comm=0 will break things in MPI mode */
fprintf(stderr, "SPLATT: mat_normalize() is invalid in MPI mode. ");
fprintf(stderr, "Use mat_normalize_mpi() instead.\n");
return;
#endif
p_mat_2norm(A, lambda, 0);
timer_stop(&timers[TIMER_MATNORM]);
}
#ifdef SPLATT_USE_MPI
void mat_normalize_mpi(
matrix_t * const A,
val_t * const restrict lambda,
MPI_Comm comm)
{
timer_start(&timers[TIMER_MATNORM]);
p_mat_2norm(A, lambda, comm);
timer_stop(&timers[TIMER_MATNORM]);
}
#endif
void mat_form_gram(
matrix_t * * aTa,
matrix_t * out_mat,
idx_t nmodes,
idx_t mode)
{
idx_t const N = aTa[mode]->J;
val_t * const restrict gram = out_mat->vals;
#pragma omp parallel
{
/* first initialize */
#pragma omp for schedule(static, 1)
for(idx_t i=0; i < N; ++i) {
for(idx_t j=i; j < N; ++j) {
gram[j+(i*N)] = 1.;
}
}
for(idx_t m=0; m < nmodes; ++m) {
if(m == mode) {
continue;
}
/* only work with upper triangular */
val_t const * const restrict mat = aTa[m]->vals;
#pragma omp for schedule(static, 1) nowait
for(idx_t i=0; i < N; ++i) {
for(idx_t j=i; j < N; ++j) {
gram[j+(i*N)] *= mat[j+(i*N)];
}
}
}
} /* omp parallel */
}
void mat_form_gram_full(
matrix_t * * aTa,
matrix_t * out_mat,
idx_t nmodes,
idx_t mode)
{
idx_t const N = aTa[mode]->J;
val_t * const restrict gram = out_mat->vals;
#pragma omp parallel
{
/* first initialize */
#pragma omp for schedule(static, 1)
for(idx_t i=0; i < N; ++i) {
for(idx_t j=0; j < N; ++j) {
gram[j+(i*N)] = 1.;
}
}
for(idx_t m=0; m < nmodes; ++m) {
if(m == mode) {
continue;
}
/* only work with upper triangular */
val_t const * const restrict mat = aTa[m]->vals;
#pragma omp for schedule(static, 1) nowait
for(idx_t i=0; i < N; ++i) {
for(idx_t j=0; j < N; ++j) {
gram[j+(i*N)] *= mat[j+(i*N)];
}
}
}
} /* omp parallel */
}
matrix_t * mat_add(
matrix_t * const A,
matrix_t * const B)
{
assert(A->I == B->I);
assert(A->J == B->J);
idx_t size = A->I * A->J;
matrix_t * res = mat_alloc(A->I, A->J);
#pragma omp parallel for schedule(static) if(size > 50)
for (idx_t i = 0; i < size; i++) {
res->vals[i] = A->vals[i] + B->vals[i];
}
return res;
}
void mat_add_diag(
matrix_t * const A,
val_t const scalar)
{
idx_t const rank = A->J;
val_t * const restrict vals = A->vals;
for(idx_t i=0; i < rank; ++i) {
vals[i + (i*rank)] += scalar;
}
}
matrix_t * mat_alloc(
idx_t const nrows,
idx_t const ncols)
{
matrix_t * mat = (matrix_t *) splatt_malloc(sizeof(matrix_t));
mat->I = nrows;
mat->J = ncols;
mat->vals = (val_t *) splatt_malloc(nrows * ncols * sizeof(val_t));
mat->rowmajor = 1;
return mat;
}
matrix_t * mat_rand(
idx_t const nrows,
idx_t const ncols)
{
matrix_t * mat = mat_alloc(nrows, ncols);
val_t * const vals = mat->vals;
fill_rand(vals, nrows * ncols);
return mat;
}
matrix_t * mat_zero(
idx_t const nrows,
idx_t const ncols)
{
matrix_t * mat = mat_alloc(nrows, ncols);
/* Initialize in parallel in case system is NUMA. This may bring a small
* improvement. */
#pragma omp parallel for schedule(static)
for(idx_t i=0; i < nrows; ++i) {
for(idx_t j=0; j < ncols; ++j) {
mat->vals[j + (i*ncols)] = 0.;
}
}
return mat;
}
matrix_t * mat_identical(
idx_t const nrows,
idx_t const ncols)
{
matrix_t * mat = mat_alloc(nrows, ncols);
/* Initialize in parallel in case system is NUMA. This may bring a small
* improvement. */
#pragma omp parallel for schedule(static)
for(idx_t i=0; i < nrows; ++i) {
for(idx_t j=0; j < ncols; ++j) {
if (i==j) mat->vals[j + (i*ncols)] = 1.;
else {
mat->vals[j + (i*ncols)] = 0.;
}
}
}
return mat;
}
matrix_t * mat_mkptr(
val_t * const data,
idx_t rows,
idx_t cols,
int rowmajor)
{
matrix_t * mat = splatt_malloc(sizeof(*mat));
mat_fillptr(mat, data, rows, cols, rowmajor);
return mat;
}
void mat_fillptr(
matrix_t * ptr,
val_t * const data,
idx_t rows,
idx_t cols,
int rowmajor)
{
ptr->I = rows;
ptr->J = cols;
ptr->rowmajor = rowmajor;
ptr->vals = data;
}
void mat_free(
matrix_t * mat)
{
if(mat == NULL) {
return;
}
splatt_free(mat->vals);
splatt_free(mat);
}
matrix_t * mat_mkrow(
matrix_t const * const mat)
{
assert(mat->rowmajor == 0);
idx_t const I = mat->I;
idx_t const J = mat->J;
matrix_t * row = mat_alloc(I, J);
val_t * const restrict rowv = row->vals;
val_t const * const restrict colv = mat->vals;
for(idx_t i=0; i < I; ++i) {
for(idx_t j=0; j < J; ++j) {
rowv[j + (i*J)] = colv[i + (j*I)];
}
}
return row;
}
matrix_t * mat_mkcol(
matrix_t const * const mat)
{
assert(mat->rowmajor == 1);
idx_t const I = mat->I;
idx_t const J = mat->J;
matrix_t * col = mat_alloc(I, J);
val_t * const restrict colv = col->vals;
val_t const * const restrict rowv = mat->vals;
for(idx_t i=0; i < I; ++i) {
for(idx_t j=0; j < J; ++j) {
colv[i + (j*I)] = rowv[j + (i*J)];
}
}
col->rowmajor = 0;
return col;
}
spmatrix_t * spmat_alloc(
idx_t const nrows,
idx_t const ncols,
idx_t const nnz)
{
spmatrix_t * mat = (spmatrix_t*) splatt_malloc(sizeof(spmatrix_t));
mat->I = nrows;
mat->J = ncols;
mat->nnz = nnz;
mat->rowptr = (idx_t*) splatt_malloc((nrows+1) * sizeof(idx_t));
mat->colind = (idx_t*) splatt_malloc(nnz * sizeof(idx_t));
mat->vals = (val_t*) splatt_malloc(nnz * sizeof(val_t));
return mat;
}
void spmat_free(
spmatrix_t * mat)
{
free(mat->rowptr);
free(mat->colind);
free(mat->vals);
free(mat);
}
val_t mat_norm(
matrix_t const * const A)
{
val_t norm = 0.;
val_t const * const restrict vals = A->vals;
#pragma omp parallel for schedule(static) reduction(+:norm)
for(idx_t x=0; x < A->I * A->J; ++x) {
norm += vals[x] * vals[x];
}
return sqrt(norm);
}
val_t mat_norm_diff(
matrix_t const * const A,
matrix_t const * const B)
{
assert(A->I == B->I);
assert(A->J == B->J);
val_t norm = 0.;
val_t const * const restrict avals = A->vals;
val_t const * const restrict bvals = B->vals;
#pragma omp parallel for schedule(static) reduction(+:norm)
for(idx_t x=0; x < A->I * A->J; ++x) {
val_t const diff = avals[x] - bvals[x];
norm += diff * diff;
}
return sqrt(norm);
}
/* Subtracts matrix A - B and adds it to matrix dest */
void mat_sub_add(
matrix_t const * const matA,
matrix_t const * const matB,
matrix_t * const dest) {
assert(matA->I == matB->I);
assert(matA->J == matB->J);
idx_t _size = matA->I;
for (idx_t i = 0; i < _size * _size; i++) {
// dest->vals[i] += matA->vals[i] - matB->vals[i];
dest->vals[i] += matA->vals[i] - matB->vals[i];
}
}
|
mandel-omp-task-row.c | /*
* Sequential Mandelbrot program
*
* This program computes and displays all or part of the Mandelbrot
* set. By default, it examines all points in the complex plane
* that have both real and imaginary parts between -2 and 2.
* Command-line parameters allow zooming in on a specific part of
* this range.
*
* Usage:
* mandel [-i maxiter -c x0 y0 -s size -w windowsize]
* where
* maxiter denotes the maximum number of iterations at each point -- by default 1000
* x0, y0, and size specify the range to examine (a square
* centered at (x0 + iy0) of size 2*size by 2*size -- by default,
* a square of size 4 by 4 centered at the origin)
* windowsize denotes the size of the image (diplay window) to compute
*
* Input: none, except the optional command-line arguments
* Output: a graphical display as described in Wilkinson & Allen,
* displayed using the X Window system, plus text output to
* standard output showing the above parameters, plus execution
* time in seconds.
*
* Code based on the original code from Web site for Wilkinson and Allen's
* text on parallel programming:
* http://www.cs.uncc.edu/~abw/parallel/par_prog/
*
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <unistd.h>
#include <malloc.h>
#if _DISPLAY_
#include <X11/Xlib.h>
#include <X11/Xutil.h>
#include <X11/Xos.h>
#endif
#include <sys/time.h>
double getusec_() {
struct timeval time;
gettimeofday(&time, NULL);
return ((double)time.tv_sec * (double)1e6 + (double)time.tv_usec);
}
#define START_COUNT_TIME stamp = getusec_();
#define STOP_COUNT_TIME(_m) stamp = getusec_() - stamp;\
stamp = stamp/1e6;\
printf ("%s: %0.6fs\n",(_m), stamp);
/* Default values for things. */
#define N 2 /* size of problem space (x, y from -N to N) */
#define NPIXELS 800 /* size of display window in pixels */
int row, col; // variables used to traverse the problem space
/* Structure definition for complex numbers */
typedef struct {
double real, imag;
} complex;
#if _DISPLAY_
/* Functions for GUI */
#include "mandelbrot-gui.h" /* has setup(), interact() */
#endif
void mandelbrot(int height,
int width,
double real_min,
double imag_min,
double scale_real,
double scale_imag,
int maxiter,
#if _DISPLAY_
int setup_return,
Display *display,
Window win,
GC gc,
double scale_color,
double min_color)
#else
int ** output)
#endif
{
/* Calculate points and save/display */
#pragma omp parallel
#pragma omp single
for (row = 0; row < height; ++row) {
#pragma omp task firstprivate(row) private(col)
for (col = 0; col < width; ++col) {
complex z, c;
z.real = z.imag = 0;
/* Scale display coordinates to actual region */
c.real = real_min + ((double) col * scale_real);
c.imag = imag_min + ((double) (height-1-row) * scale_imag);
/* height-1-row so y axis displays
* with larger values at top
*/
/* Calculate z0, z1, .... until divergence or maximum iterations */
int k = 0;
double lengthsq, temp;
do {
temp = z.real*z.real - z.imag*z.imag + c.real;
z.imag = 2*z.real*z.imag + c.imag;
z.real = temp;
lengthsq = z.real*z.real + z.imag*z.imag;
++k;
} while (lengthsq < (N*N) && k < maxiter);
#if _DISPLAY_
/* Scale color and display point */
long color = (long) ((k-1) * scale_color) + min_color;
if (setup_return == EXIT_SUCCESS) {
#pragma omp critical
{
XSetForeground (display, gc, color);
XDrawPoint (display, win, gc, col, row);
}
}
#else
output[row][col]=k;
#endif
}
}
}
int main(int argc, char *argv[]) {
int maxiter = 1000;
double real_min;
double real_max;
double imag_min;
double imag_max;
int width = NPIXELS; /* dimensions of display window */
int height = NPIXELS;
double size=N, x0 = 0, y0 = 0;
#if _DISPLAY_
Display *display;
Window win;
GC gc;
int setup_return;
long min_color = 0, max_color = 0;
double scale_color;
#else
int ** output;
FILE *fp = NULL;
#endif
double scale_real, scale_imag;
/* Process command-line arguments */
for (int i=1; i<argc; i++) {
if (strcmp(argv[i], "-i")==0) {
maxiter = atoi(argv[++i]);
}
else if (strcmp(argv[i], "-w")==0) {
width = atoi(argv[++i]);
height = width;
}
else if (strcmp(argv[i], "-s")==0) {
size = atof(argv[++i]);
}
#if !_DISPLAY_
else if (strcmp(argv[i], "-o")==0) {
if((fp=fopen("mandel.out", "wb"))==NULL) {
fprintf(stderr, "Unable to open file\n");
return EXIT_FAILURE;
}
}
#endif
else if (strcmp(argv[i], "-c")==0) {
x0 = atof(argv[++i]);
y0 = atof(argv[++i]);
}
else {
#if _DISPLAY_
fprintf(stderr, "Usage: %s [-i maxiter -w windowsize -c x0 y0 -s size]\n", argv[0]);
#else
fprintf(stderr, "Usage: %s [-o -i maxiter -w windowsize -c x0 y0 -s size]\n", argv[0]);
fprintf(stderr, " -o to write computed image to disk (default no file generated)\n");
#endif
fprintf(stderr, " -i to specify maximum number of iterations at each point (default 1000)\n");
#if _DISPLAY_
fprintf(stderr, " -w to specify the size of the display window (default 800x800 pixels)\n");
#else
fprintf(stderr, " -w to specify the size of the image to compute (default 800x800 elements)\n");
#endif
fprintf(stderr, " -c to specify the center x0+iy0 of the square to compute (default origin)\n");
fprintf(stderr, " -s to specify the size of the square to compute (default 2, i.e. size 4 by 4)\n");
return EXIT_FAILURE;
}
}
real_min = x0 - size;
real_max = x0 + size;
imag_min = y0 - size;
imag_max = y0 + size;
/* Produce text output */
fprintf(stdout, "\n");
fprintf(stdout, "Mandelbrot program\n");
fprintf(stdout, "center = (%g, %g), size = %g\n",
(real_max + real_min)/2, (imag_max + imag_min)/2,
(real_max - real_min)/2);
fprintf(stdout, "maximum iterations = %d\n", maxiter);
fprintf(stdout, "\n");
#if _DISPLAY_
/* Initialize for graphical display */
setup_return =
setup(width, height, &display, &win, &gc, &min_color, &max_color);
if (setup_return != EXIT_SUCCESS) {
fprintf(stderr, "Unable to initialize display, continuing\n");
return EXIT_FAILURE;
}
#else
output = malloc(height*sizeof(int *));
for (int row = 0; row < height; ++row)
output[row] = malloc(width*sizeof(int));
#endif
/* Compute factors to scale computational region to window */
scale_real = (double) (real_max - real_min) / (double) width;
scale_imag = (double) (imag_max - imag_min) / (double) height;
#if _DISPLAY_
/* Compute factor for color scaling */
scale_color = (double) (max_color - min_color) / (double) (maxiter - 1);
#endif
/* Start timing */
double stamp;
START_COUNT_TIME;
#if _DISPLAY_
mandelbrot(height,width,real_min, imag_min, scale_real, scale_imag, maxiter,
setup_return, display, win, gc, scale_color, min_color);
#else
mandelbrot(height,width,real_min, imag_min, scale_real, scale_imag, maxiter,
output);
#endif
/* End timing */
STOP_COUNT_TIME("Total execution time");
/* Be sure all output is written */
#if _DISPLAY_
if (setup_return == EXIT_SUCCESS) {
XFlush (display);
}
#else
if (fp != NULL)
{
for (int row = 0; row < height; ++row)
if(fwrite(output[row], sizeof(int), width, fp) != width) {
fprintf(stderr, "Output file not written correctly\n");
}
}
#endif
#if _DISPLAY_
/* Wait for user response, then exit program */
if (setup_return == EXIT_SUCCESS) {
interact(display, &win, width, height,
real_min, real_max, imag_min, imag_max);
}
return EXIT_SUCCESS;
#endif
}
|
GB_unaryop__ainv_int16_uint64.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__ainv_int16_uint64
// op(A') function: GB_tran__ainv_int16_uint64
// C type: int16_t
// A type: uint64_t
// cast: int16_t cij = (int16_t) aij
// unaryop: cij = -aij
#define GB_ATYPE \
uint64_t
#define GB_CTYPE \
int16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint64_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = -x ;
// casting
#define GB_CASTING(z, aij) \
int16_t z = (int16_t) aij ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (z, aij) ; \
GB_OP (GB_CX (pC), z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_AINV || GxB_NO_INT16 || GxB_NO_UINT64)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__ainv_int16_uint64
(
int16_t *Cx, // Cx and Ax may be aliased
uint64_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__ainv_int16_uint64
(
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
|
rose_livenessTest.c | #include <omp.h>
typedef double real8;
void foo(real8 *y,real8 *d__,real8 *d11,real8 *d12,real8 *d13,real8 *d22,real8 *d23,real8 *d33,real8 *m,int *nell,real8 *p,int t,int flagB,int flagA,int ub)
{
int l;
int nel;
int t1 = t - 1;
if (flagB == 0) {
for (l = 0; l <= ub - 1; l += 1) {
int l8 = l * 8;
int l36 = l * 36;
real8 h12 = m[(l8 + 0) * 4 + 1];
real8 h13 = m[(l8 + 0) * 4 + 2];
real8 h14 = m[(l8 + 0) * 4 + 3];
real8 h22 = m[(l8 + 1) * 4 + 1];
real8 h23 = m[(l8 + 1) * 4 + 2];
real8 h24 = m[(l8 + 1) * 4 + 3];
real8 h32 = m[(l8 + 2) * 4 + 1];
real8 h33 = m[(l8 + 2) * 4 + 2];
real8 h34 = m[(l8 + 2) * 4 + 3];
real8 h42 = m[(l8 + 3) * 4 + 1];
real8 h43 = m[(l8 + 3) * 4 + 2];
real8 h44 = m[(l8 + 3) * 4 + 3];
real8 h52 = m[(l8 + 4) * 4 + 1];
real8 h53 = m[(l8 + 4) * 4 + 2];
real8 h54 = m[(l8 + 4) * 4 + 3];
real8 h62 = m[(l8 + 5) * 4 + 1];
real8 h63 = m[(l8 + 5) * 4 + 2];
real8 h64 = m[(l8 + 5) * 4 + 3];
real8 h72 = m[(l8 + 6) * 4 + 1];
real8 h73 = m[(l8 + 6) * 4 + 2];
real8 h74 = m[(l8 + 6) * 4 + 3];
real8 h82 = m[(l8 + 7) * 4 + 1];
real8 h83 = m[(l8 + 7) * 4 + 2];
real8 h84 = m[(l8 + 7) * 4 + 3];
real8 ddd = d__[l];
y[l36 + 0] += ddd * (h12 * h12 + h13 * h13 + h14 * h14);
y[l36 + 1] += ddd * (h12 * h22 + h13 * h23 + h14 * h24);
y[l36 + 2] += ddd * (h22 * h22 + h23 * h23 + h24 * h24);
y[l36 + 3] += ddd * (h12 * h32 + h13 * h33 + h14 * h34);
y[l36 + 4] += ddd * (h22 * h32 + h23 * h33 + h24 * h34);
y[l36 + 5] += ddd * (h32 * h32 + h33 * h33 + h34 * h34);
y[l36 + 6] += ddd * (h12 * h42 + h13 * h43 + h14 * h44);
y[l36 + 7] += ddd * (h22 * h42 + h23 * h43 + h24 * h44);
y[l36 + 8] += ddd * (h32 * h42 + h33 * h43 + h34 * h44);
y[l36 + 9] += ddd * (h42 * h42 + h43 * h43 + h44 * h44);
y[l36 + 10] += ddd * (h12 * h52 + h13 * h53 + h14 * h54);
y[l36 + 11] += ddd * (h22 * h52 + h23 * h53 + h24 * h54);
y[l36 + 12] += ddd * (h32 * h52 + h33 * h53 + h34 * h54);
y[l36 + 13] += ddd * (h42 * h52 + h43 * h53 + h44 * h54);
y[l36 + 14] += ddd * (h52 * h52 + h53 * h53 + h54 * h54);
y[l36 + 15] += ddd * (h12 * h62 + h13 * h63 + h14 * h64);
y[l36 + 16] += ddd * (h22 * h62 + h23 * h63 + h24 * h64);
y[l36 + 17] += ddd * (h32 * h62 + h33 * h63 + h34 * h64);
y[l36 + 18] += ddd * (h42 * h62 + h43 * h63 + h44 * h64);
y[l36 + 19] += ddd * (h52 * h62 + h53 * h63 + h54 * h64);
y[l36 + 20] += ddd * (h62 * h62 + h63 * h63 + h64 * h64);
y[l36 + 21] += ddd * (h12 * h72 + h13 * h73 + h14 * h74);
y[l36 + 22] += ddd * (h22 * h72 + h23 * h73 + h24 * h74);
y[l36 + 23] += ddd * (h32 * h72 + h33 * h73 + h34 * h74);
y[l36 + 24] += ddd * (h42 * h72 + h43 * h73 + h44 * h74);
y[l36 + 25] += ddd * (h52 * h72 + h53 * h73 + h54 * h74);
y[l36 + 26] += ddd * (h62 * h72 + h63 * h73 + h64 * h74);
y[l36 + 27] += ddd * (h72 * h72 + h73 * h73 + h74 * h74);
y[l36 + 28] += ddd * (h12 * h82 + h13 * h83 + h14 * h84);
y[l36 + 29] += ddd * (h22 * h82 + h23 * h83 + h24 * h84);
y[l36 + 30] += ddd * (h32 * h82 + h33 * h83 + h34 * h84);
y[l36 + 31] += ddd * (h42 * h82 + h43 * h83 + h44 * h84);
y[l36 + 32] += ddd * (h52 * h82 + h53 * h83 + h54 * h84);
y[l36 + 33] += ddd * (h62 * h82 + h63 * h83 + h64 * h84);
y[l36 + 34] += ddd * (h72 * h82 + h73 * h83 + h74 * h84);
y[l36 + 35] += ddd * (h82 * h82 + h83 * h83 + h84 * h84);
}
if (flagA > 0) {
#pragma omp parallel for private (nel,l) firstprivate (ub,t1)
for (l = 0; l <= ub - 1; l += 1) {
int l8 = l * 8;
real8 h1 = m[(t1 + l8) * 4 + 1];
real8 h2 = m[(t1 + l8) * 4 + 2];
real8 h3 = m[(t1 + l8) * 4 + 3];
nel = nell[l];
p[nell[l]] += d__[l] * 64. * (h1 * h1 + h2 * h2 + h3 * h3);
}
}
}
else {
for (l = 0; l <= ub - 1; l += 1) {
int l8 = l * 8;
int l36 = l * 36;
real8 d_11 = d11[l];
real8 d_12 = d12[l];
real8 d_13 = d13[l];
real8 d_22 = d22[l];
real8 d_23 = d23[l];
real8 d_33 = d33[l];
real8 h12 = m[(l8 + 0) * 4 + 1];
real8 h13 = m[(l8 + 0) * 4 + 2];
real8 h14 = m[(l8 + 0) * 4 + 3];
real8 h22 = m[(l8 + 1) * 4 + 1];
real8 h23 = m[(l8 + 1) * 4 + 2];
real8 h24 = m[(l8 + 1) * 4 + 3];
real8 h32 = m[(l8 + 2) * 4 + 1];
real8 h33 = m[(l8 + 2) * 4 + 2];
real8 h34 = m[(l8 + 2) * 4 + 3];
real8 h42 = m[(l8 + 3) * 4 + 1];
real8 h43 = m[(l8 + 3) * 4 + 2];
real8 h44 = m[(l8 + 3) * 4 + 3];
real8 h52 = m[(l8 + 4) * 4 + 1];
real8 h53 = m[(l8 + 4) * 4 + 2];
real8 h54 = m[(l8 + 4) * 4 + 3];
real8 h62 = m[(l8 + 5) * 4 + 1];
real8 h63 = m[(l8 + 5) * 4 + 2];
real8 h64 = m[(l8 + 5) * 4 + 3];
real8 h72 = m[(l8 + 6) * 4 + 1];
real8 h73 = m[(l8 + 6) * 4 + 2];
real8 h74 = m[(l8 + 6) * 4 + 3];
real8 h82 = m[(l8 + 7) * 4 + 1];
real8 h83 = m[(l8 + 7) * 4 + 2];
real8 h84 = m[(l8 + 7) * 4 + 3];
y[l36 + 0] = y[l36 + 0] + h12 * (d_11 * h12 + d_12 * h13 + d_13 * h14) + h13 * (d_12 * h12 + d_22 * h13 + d_23 * h14) + h14 * (d_13 * h12 + d_23 * h13 + d_33 * h14);
y[l36 + 1] = y[l36 + 1] + h22 * (d_11 * h12 + d_12 * h13 + d_13 * h14) + h23 * (d_12 * h12 + d_22 * h13 + d_23 * h14) + h24 * (d_13 * h12 + d_23 * h13 + d_33 * h14);
y[l36 + 2] = y[l36 + 2] + h22 * (d_11 * h22 + d_12 * h23 + d_13 * h24) + h23 * (d_12 * h22 + d_22 * h23 + d_23 * h24) + h24 * (d_13 * h22 + d_23 * h23 + d_33 * h24);
y[l36 + 3] = y[l36 + 3] + h32 * (d_11 * h12 + d_12 * h13 + d_13 * h14) + h33 * (d_12 * h12 + d_22 * h13 + d_23 * h14) + h34 * (d_13 * h12 + d_23 * h13 + d_33 * h14);
y[l36 + 4] = y[l36 + 4] + h32 * (d_11 * h22 + d_12 * h23 + d_13 * h24) + h33 * (d_12 * h22 + d_22 * h23 + d_23 * h24) + h34 * (d_13 * h22 + d_23 * h23 + d_33 * h24);
y[l36 + 5] = y[l36 + 5] + h32 * (d_11 * h32 + d_12 * h33 + d_13 * h34) + h33 * (d_12 * h32 + d_22 * h33 + d_23 * h34) + h34 * (d_13 * h32 + d_23 * h33 + d_33 * h34);
y[l36 + 6] = y[l36 + 6] + h42 * (d_11 * h12 + d_12 * h13 + d_13 * h14) + h43 * (d_12 * h12 + d_22 * h13 + d_23 * h14) + h44 * (d_13 * h12 + d_23 * h13 + d_33 * h14);
y[l36 + 7] = y[l36 + 7] + h42 * (d_11 * h22 + d_12 * h23 + d_13 * h24) + h43 * (d_12 * h22 + d_22 * h23 + d_23 * h24) + h44 * (d_13 * h22 + d_23 * h23 + d_33 * h24);
y[l36 + 8] = y[l36 + 8] + h42 * (d_11 * h32 + d_12 * h33 + d_13 * h34) + h43 * (d_12 * h32 + d_22 * h33 + d_23 * h34) + h44 * (d_13 * h32 + d_23 * h33 + d_33 * h34);
y[l36 + 9] = y[l36 + 9] + h42 * (d_11 * h42 + d_12 * h43 + d_13 * h44) + h43 * (d_12 * h42 + d_22 * h43 + d_23 * h44) + h44 * (d_13 * h42 + d_23 * h43 + d_33 * h44);
y[l36 + 10] = y[l36 + 10] + h52 * (d_11 * h12 + d_12 * h13 + d_13 * h14) + h53 * (d_12 * h12 + d_22 * h13 + d_23 * h14) + h54 * (d_13 * h12 + d_23 * h13 + d_33 * h14);
y[l36 + 11] = y[l36 + 11] + h52 * (d_11 * h22 + d_12 * h23 + d_13 * h24) + h53 * (d_12 * h22 + d_22 * h23 + d_23 * h24) + h54 * (d_13 * h22 + d_23 * h23 + d_33 * h24);
y[l36 + 12] = y[l36 + 12] + h52 * (d_11 * h32 + d_12 * h33 + d_13 * h34) + h53 * (d_12 * h32 + d_22 * h33 + d_23 * h34) + h54 * (d_13 * h32 + d_23 * h33 + d_33 * h34);
y[l36 + 13] = y[l36 + 13] + h52 * (d_11 * h42 + d_12 * h43 + d_13 * h44) + h53 * (d_12 * h42 + d_22 * h43 + d_23 * h44) + h54 * (d_13 * h42 + d_23 * h43 + d_33 * h44);
y[l36 + 14] = y[l36 + 14] + h52 * (d_11 * h52 + d_12 * h53 + d_13 * h54) + h53 * (d_12 * h52 + d_22 * h53 + d_23 * h54) + h54 * (d_13 * h52 + d_23 * h53 + d_33 * h54);
y[l36 + 15] = y[l36 + 15] + h62 * (d_11 * h12 + d_12 * h13 + d_13 * h14) + h63 * (d_12 * h12 + d_22 * h13 + d_23 * h14) + h64 * (d_13 * h12 + d_23 * h13 + d_33 * h14);
y[l36 + 16] = y[l36 + 16] + h62 * (d_11 * h22 + d_12 * h23 + d_13 * h24) + h63 * (d_12 * h22 + d_22 * h23 + d_23 * h24) + h64 * (d_13 * h22 + d_23 * h23 + d_33 * h24);
y[l36 + 17] = y[l36 + 17] + h62 * (d_11 * h32 + d_12 * h33 + d_13 * h34) + h63 * (d_12 * h32 + d_22 * h33 + d_23 * h34) + h64 * (d_13 * h32 + d_23 * h33 + d_33 * h34);
y[l36 + 18] = y[l36 + 18] + h62 * (d_11 * h42 + d_12 * h43 + d_13 * h44) + h63 * (d_12 * h42 + d_22 * h43 + d_23 * h44) + h64 * (d_13 * h42 + d_23 * h43 + d_33 * h44);
y[l36 + 19] = y[l36 + 19] + h62 * (d_11 * h52 + d_12 * h53 + d_13 * h54) + h63 * (d_12 * h52 + d_22 * h53 + d_23 * h54) + h64 * (d_13 * h52 + d_23 * h53 + d_33 * h54);
y[l36 + 20] = y[l36 + 20] + h62 * (d_11 * h62 + d_12 * h63 + d_13 * h64) + h63 * (d_12 * h62 + d_22 * h63 + d_23 * h64) + h64 * (d_13 * h62 + d_23 * h63 + d_33 * h64);
y[l36 + 21] = y[l36 + 21] + h72 * (d_11 * h12 + d_12 * h13 + d_13 * h14) + h73 * (d_12 * h12 + d_22 * h13 + d_23 * h14) + h74 * (d_13 * h12 + d_23 * h13 + d_33 * h14);
y[l36 + 22] = y[l36 + 22] + h72 * (d_11 * h22 + d_12 * h23 + d_13 * h24) + h73 * (d_12 * h22 + d_22 * h23 + d_23 * h24) + h74 * (d_13 * h22 + d_23 * h23 + d_33 * h24);
y[l36 + 23] = y[l36 + 23] + h72 * (d_11 * h32 + d_12 * h33 + d_13 * h34) + h73 * (d_12 * h32 + d_22 * h33 + d_23 * h34) + h74 * (d_13 * h32 + d_23 * h33 + d_33 * h34);
y[l36 + 24] = y[l36 + 24] + h72 * (d_11 * h42 + d_12 * h43 + d_13 * h44) + h73 * (d_12 * h42 + d_22 * h43 + d_23 * h44) + h74 * (d_13 * h42 + d_23 * h43 + d_33 * h44);
y[l36 + 25] = y[l36 + 25] + h72 * (d_11 * h52 + d_12 * h53 + d_13 * h54) + h73 * (d_12 * h52 + d_22 * h53 + d_23 * h54) + h74 * (d_13 * h52 + d_23 * h53 + d_33 * h54);
y[l36 + 26] = y[l36 + 26] + h72 * (d_11 * h62 + d_12 * h63 + d_13 * h64) + h73 * (d_12 * h62 + d_22 * h63 + d_23 * h64) + h74 * (d_13 * h62 + d_23 * h63 + d_33 * h64);
y[l36 + 27] = y[l36 + 27] + h72 * (d_11 * h72 + d_12 * h73 + d_13 * h74) + h73 * (d_12 * h72 + d_22 * h73 + d_23 * h74) + h74 * (d_13 * h72 + d_23 * h73 + d_33 * h74);
y[l36 + 28] = y[l36 + 28] + h82 * (d_11 * h12 + d_12 * h13 + d_13 * h14) + h83 * (d_12 * h12 + d_22 * h13 + d_23 * h14) + h84 * (d_13 * h12 + d_23 * h13 + d_33 * h14);
y[l36 + 29] = y[l36 + 29] + h82 * (d_11 * h22 + d_12 * h23 + d_13 * h24) + h83 * (d_12 * h22 + d_22 * h23 + d_23 * h24) + h84 * (d_13 * h22 + d_23 * h23 + d_33 * h24);
y[l36 + 30] = y[l36 + 30] + h82 * (d_11 * h32 + d_12 * h33 + d_13 * h34) + h83 * (d_12 * h32 + d_22 * h33 + d_23 * h34) + h84 * (d_13 * h32 + d_23 * h33 + d_33 * h34);
y[l36 + 31] = y[l36 + 31] + h82 * (d_11 * h42 + d_12 * h43 + d_13 * h44) + h83 * (d_12 * h42 + d_22 * h43 + d_23 * h44) + h84 * (d_13 * h42 + d_23 * h43 + d_33 * h44);
y[l36 + 32] = y[l36 + 32] + h82 * (d_11 * h52 + d_12 * h53 + d_13 * h54) + h83 * (d_12 * h52 + d_22 * h53 + d_23 * h54) + h84 * (d_13 * h52 + d_23 * h53 + d_33 * h54);
y[l36 + 33] = y[l36 + 33] + h82 * (d_11 * h62 + d_12 * h63 + d_13 * h64) + h83 * (d_12 * h62 + d_22 * h63 + d_23 * h64) + h84 * (d_13 * h62 + d_23 * h63 + d_33 * h64);
y[l36 + 34] = y[l36 + 34] + h82 * (d_11 * h72 + d_12 * h73 + d_13 * h74) + h83 * (d_12 * h72 + d_22 * h73 + d_23 * h74) + h84 * (d_13 * h72 + d_23 * h73 + d_33 * h74);
y[l36 + 35] = y[l36 + 35] + h82 * (d_11 * h82 + d_12 * h83 + d_13 * h84) + h83 * (d_12 * h82 + d_22 * h83 + d_23 * h84) + h84 * (d_13 * h82 + d_23 * h83 + d_33 * h84);
}
if (flagA > 0) {
#pragma omp parallel for private (nel,l) firstprivate (ub,t1)
for (l = 0; l <= ub - 1; l += 1) {
int l8 = l * 8;
real8 h1 = m[(t1 + l8) * 4 + 1];
real8 h2 = m[(t1 + l8) * 4 + 2];
real8 h3 = m[(t1 + l8) * 4 + 3];
nel = nell[l];
p[nell[l]] += (h1 * (d11[l] * h1 + d12[l] * 2. * h2 + d13[l] * 2. * h3) + h2 * (d22[l] * h2 + d23[l] * 2. * h3) + h3 * d33[l] * h3) * 64.;
}
}
}
}
|
glove_cython.c | /* Generated by Cython 0.29.14 */
/* BEGIN: Cython Metadata
{
"distutils": {
"depends": [],
"extra_compile_args": [
"-fopenmp",
"-ffast-math"
],
"extra_link_args": [
"-fopenmp"
],
"name": "glove.glove_cython",
"sources": [
"glove/glove_cython.pyx"
]
},
"module_name": "glove.glove_cython"
}
END: Cython Metadata */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
#error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
#error Cython requires Python 2.6+ or Python 3.3+.
#else
#define CYTHON_ABI "0_29_14"
#define CYTHON_HEX_VERSION 0x001D0EF0
#define CYTHON_FUTURE_DIVISION 1
#include <stddef.h>
#ifndef offsetof
#define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
#ifndef __stdcall
#define __stdcall
#endif
#ifndef __cdecl
#define __cdecl
#endif
#ifndef __fastcall
#define __fastcall
#endif
#endif
#ifndef DL_IMPORT
#define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
#define DL_EXPORT(t) t
#endif
#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
#if PY_VERSION_HEX >= 0x02070000
#define HAVE_LONG_LONG
#endif
#endif
#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
#define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
#define CYTHON_COMPILING_IN_PYPY 1
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 0
#undef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 0
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#if PY_VERSION_HEX < 0x03050000
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#elif !defined(CYTHON_USE_ASYNC_SLOTS)
#define CYTHON_USE_ASYNC_SLOTS 1
#endif
#undef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 0
#undef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 0
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#undef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 1
#undef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 0
#undef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 0
#undef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 0
#undef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 0
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 0
#undef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS 0
#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
#elif defined(PYSTON_VERSION)
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 1
#define CYTHON_COMPILING_IN_CPYTHON 0
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#undef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 0
#ifndef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 1
#endif
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
#endif
#ifndef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 1
#endif
#ifndef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 1
#endif
#undef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 0
#undef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 0
#undef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT 0
#undef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE 0
#undef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS 0
#undef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK 0
#else
#define CYTHON_COMPILING_IN_PYPY 0
#define CYTHON_COMPILING_IN_PYSTON 0
#define CYTHON_COMPILING_IN_CPYTHON 1
#ifndef CYTHON_USE_TYPE_SLOTS
#define CYTHON_USE_TYPE_SLOTS 1
#endif
#if PY_VERSION_HEX < 0x02070000
#undef CYTHON_USE_PYTYPE_LOOKUP
#define CYTHON_USE_PYTYPE_LOOKUP 0
#elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
#define CYTHON_USE_PYTYPE_LOOKUP 1
#endif
#if PY_MAJOR_VERSION < 3
#undef CYTHON_USE_ASYNC_SLOTS
#define CYTHON_USE_ASYNC_SLOTS 0
#elif !defined(CYTHON_USE_ASYNC_SLOTS)
#define CYTHON_USE_ASYNC_SLOTS 1
#endif
#if PY_VERSION_HEX < 0x02070000
#undef CYTHON_USE_PYLONG_INTERNALS
#define CYTHON_USE_PYLONG_INTERNALS 0
#elif !defined(CYTHON_USE_PYLONG_INTERNALS)
#define CYTHON_USE_PYLONG_INTERNALS 1
#endif
#ifndef CYTHON_USE_PYLIST_INTERNALS
#define CYTHON_USE_PYLIST_INTERNALS 1
#endif
#ifndef CYTHON_USE_UNICODE_INTERNALS
#define CYTHON_USE_UNICODE_INTERNALS 1
#endif
#if PY_VERSION_HEX < 0x030300F0
#undef CYTHON_USE_UNICODE_WRITER
#define CYTHON_USE_UNICODE_WRITER 0
#elif !defined(CYTHON_USE_UNICODE_WRITER)
#define CYTHON_USE_UNICODE_WRITER 1
#endif
#ifndef CYTHON_AVOID_BORROWED_REFS
#define CYTHON_AVOID_BORROWED_REFS 0
#endif
#ifndef CYTHON_ASSUME_SAFE_MACROS
#define CYTHON_ASSUME_SAFE_MACROS 1
#endif
#ifndef CYTHON_UNPACK_METHODS
#define CYTHON_UNPACK_METHODS 1
#endif
#ifndef CYTHON_FAST_THREAD_STATE
#define CYTHON_FAST_THREAD_STATE 1
#endif
#ifndef CYTHON_FAST_PYCALL
#define CYTHON_FAST_PYCALL 1
#endif
#ifndef CYTHON_PEP489_MULTI_PHASE_INIT
#define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)
#endif
#ifndef CYTHON_USE_TP_FINALIZE
#define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
#endif
#ifndef CYTHON_USE_DICT_VERSIONS
#define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)
#endif
#ifndef CYTHON_USE_EXC_INFO_STACK
#define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
#endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
#include "longintrepr.h"
#undef SHIFT
#undef BASE
#undef MASK
#ifdef SIZEOF_VOID_P
enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };
#endif
#endif
#ifndef __has_attribute
#define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
#define __has_cpp_attribute(x) 0
#endif
#ifndef CYTHON_RESTRICT
#if defined(__GNUC__)
#define CYTHON_RESTRICT __restrict__
#elif defined(_MSC_VER) && _MSC_VER >= 1400
#define CYTHON_RESTRICT __restrict
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_RESTRICT restrict
#else
#define CYTHON_RESTRICT
#endif
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
# define CYTHON_UNUSED __attribute__ ((__unused__))
# else
# define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_MAYBE_UNUSED_VAR
# if defined(__cplusplus)
template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
# else
# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
# endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
# define CYTHON_NCP_UNUSED
# else
# define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifdef _MSC_VER
#ifndef _MSC_STDINT_H_
#if _MSC_VER < 1300
typedef unsigned char uint8_t;
typedef unsigned int uint32_t;
#else
typedef unsigned __int8 uint8_t;
typedef unsigned __int32 uint32_t;
#endif
#endif
#else
#include <stdint.h>
#endif
#ifndef CYTHON_FALLTHROUGH
#if defined(__cplusplus) && __cplusplus >= 201103L
#if __has_cpp_attribute(fallthrough)
#define CYTHON_FALLTHROUGH [[fallthrough]]
#elif __has_cpp_attribute(clang::fallthrough)
#define CYTHON_FALLTHROUGH [[clang::fallthrough]]
#elif __has_cpp_attribute(gnu::fallthrough)
#define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
#endif
#endif
#ifndef CYTHON_FALLTHROUGH
#if __has_attribute(fallthrough)
#define CYTHON_FALLTHROUGH __attribute__((fallthrough))
#else
#define CYTHON_FALLTHROUGH
#endif
#endif
#if defined(__clang__ ) && defined(__apple_build_version__)
#if __apple_build_version__ < 7000000
#undef CYTHON_FALLTHROUGH
#define CYTHON_FALLTHROUGH
#endif
#endif
#endif
#ifndef CYTHON_INLINE
#if defined(__clang__)
#define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
#elif defined(__GNUC__)
#define CYTHON_INLINE __inline__
#elif defined(_MSC_VER)
#define CYTHON_INLINE __inline
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
#define CYTHON_INLINE inline
#else
#define CYTHON_INLINE
#endif
#endif
#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
#define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
#define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#define __Pyx_DefaultClassType PyClass_Type
#else
#define __Pyx_BUILTIN_MODULE_NAME "builtins"
#if PY_VERSION_HEX >= 0x030800A4 && PY_VERSION_HEX < 0x030800B2
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a, 0, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#else
#define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
#endif
#define __Pyx_DefaultClassType PyType_Type
#endif
#ifndef Py_TPFLAGS_CHECKTYPES
#define Py_TPFLAGS_CHECKTYPES 0
#endif
#ifndef Py_TPFLAGS_HAVE_INDEX
#define Py_TPFLAGS_HAVE_INDEX 0
#endif
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
#define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#ifndef Py_TPFLAGS_HAVE_FINALIZE
#define Py_TPFLAGS_HAVE_FINALIZE 0
#endif
#ifndef METH_STACKLESS
#define METH_STACKLESS 0
#endif
#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
#ifndef METH_FASTCALL
#define METH_FASTCALL 0x80
#endif
typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
Py_ssize_t nargs, PyObject *kwnames);
#else
#define __Pyx_PyCFunctionFast _PyCFunctionFast
#define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
#endif
#if CYTHON_FAST_PYCCALL
#define __Pyx_PyFastCFunction_Check(func)\
((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))
#else
#define __Pyx_PyFastCFunction_Check(func) 0
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
#define PyObject_Malloc(s) PyMem_Malloc(s)
#define PyObject_Free(p) PyMem_Free(p)
#define PyObject_Realloc(p) PyMem_Realloc(p)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1
#define PyMem_RawMalloc(n) PyMem_Malloc(n)
#define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n)
#define PyMem_RawFree(p) PyMem_Free(p)
#endif
#if CYTHON_COMPILING_IN_PYSTON
#define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)
#define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
#else
#define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0)
#define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno)
#endif
#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
#define __Pyx_PyThreadState_Current PyThreadState_GET()
#elif PY_VERSION_HEX >= 0x03060000
#define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
#elif PY_VERSION_HEX >= 0x03000000
#define __Pyx_PyThreadState_Current PyThreadState_GET()
#else
#define __Pyx_PyThreadState_Current _PyThreadState_Current
#endif
#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
#include "pythread.h"
#define Py_tss_NEEDS_INIT 0
typedef int Py_tss_t;
static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
*key = PyThread_create_key();
return 0;
}
static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
*key = Py_tss_NEEDS_INIT;
return key;
}
static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
PyObject_Free(key);
}
static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
return *key != Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
PyThread_delete_key(*key);
*key = Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
return PyThread_set_key_value(*key, value);
}
static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
return PyThread_get_key_value(*key);
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
#else
#define __Pyx_PyDict_NewPresized(n) PyDict_New()
#endif
#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
#define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)
#else
#define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)
#define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
#else
#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name)
#endif
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
#define CYTHON_PEP393_ENABLED 1
#define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\
0 : _PyUnicode_Ready((PyObject *)(op)))
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u)
#define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)
#define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)
#define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch)
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
#else
#define CYTHON_PEP393_ENABLED 0
#define PyUnicode_1BYTE_KIND 1
#define PyUnicode_2BYTE_KIND 2
#define PyUnicode_4BYTE_KIND 4
#define __Pyx_PyUnicode_READY(op) (0)
#define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)
#define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
#define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
#define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))
#define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))
#define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
#define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
#define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))
#endif
#if CYTHON_COMPILING_IN_PYPY
#define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)
#define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)
#else
#define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)
#define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
#define PyUnicode_Contains(u, s) PySequence_Contains(u, s)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
#define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
#define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, "__format__", "O", fmt)
#endif
#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)
#else
#define __Pyx_PyString_Format(a, b) PyString_Format(a, b)
#endif
#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
#define PyObject_ASCII(o) PyObject_Repr(o)
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBaseString_Type PyUnicode_Type
#define PyStringObject PyUnicodeObject
#define PyString_Type PyUnicode_Type
#define PyString_Check PyUnicode_Check
#define PyString_CheckExact PyUnicode_CheckExact
#define PyObject_Unicode PyObject_Str
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
#define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
#define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
#define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
#endif
#ifndef PySet_CheckExact
#define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)
#endif
#if CYTHON_ASSUME_SAFE_MACROS
#define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)
#else
#define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)
#endif
#if PY_MAJOR_VERSION >= 3
#define PyIntObject PyLongObject
#define PyInt_Type PyLong_Type
#define PyInt_Check(op) PyLong_Check(op)
#define PyInt_CheckExact(op) PyLong_CheckExact(op)
#define PyInt_FromString PyLong_FromString
#define PyInt_FromUnicode PyLong_FromUnicode
#define PyInt_FromLong PyLong_FromLong
#define PyInt_FromSize_t PyLong_FromSize_t
#define PyInt_FromSsize_t PyLong_FromSsize_t
#define PyInt_AsLong PyLong_AsLong
#define PyInt_AS_LONG PyLong_AS_LONG
#define PyInt_AsSsize_t PyLong_AsSsize_t
#define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask
#define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
#define PyNumber_Int PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
#define PyBoolObject PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
#ifndef PyUnicode_InternFromString
#define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
#endif
#endif
#if PY_VERSION_HEX < 0x030200A4
typedef long Py_hash_t;
#define __Pyx_PyInt_FromHash_t PyInt_FromLong
#define __Pyx_PyInt_AsHash_t PyInt_AsLong
#else
#define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
#define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t
#endif
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))
#else
#define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
#endif
#if CYTHON_USE_ASYNC_SLOTS
#if PY_VERSION_HEX >= 0x030500B1
#define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
#define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
#else
#define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
#endif
#else
#define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
typedef struct {
unaryfunc am_await;
unaryfunc am_aiter;
unaryfunc am_anext;
} __Pyx_PyAsyncMethodsStruct;
#endif
#if defined(WIN32) || defined(MS_WINDOWS)
#define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
float value;
memset(&value, 0xFF, sizeof(value));
return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
#else
#define __Pyx_truncl truncl
#endif
#define __PYX_ERR(f_index, lineno, Ln_error) \
{ \
__pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \
}
#ifndef __PYX_EXTERN_C
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
#endif
#define __PYX_HAVE__glove__glove_cython
#define __PYX_HAVE_API__glove__glove_cython
/* Early includes */
#include "math.h"
#include "pythread.h"
#include <string.h>
#include <stdlib.h>
#include <stdio.h>
#include "pystate.h"
#ifdef _OPENMP
#include <omp.h>
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#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
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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
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#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
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#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
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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);
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goto bad;
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Py_DECREF(ascii_chars_u);
Py_DECREF(ascii_chars_b);
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Py_DECREF(default_encoding);
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Py_XDECREF(ascii_chars_u);
Py_XDECREF(ascii_chars_b);
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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);
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strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
Py_DECREF(default_encoding);
return 0;
bad:
Py_XDECREF(default_encoding);
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static PyObject *__pyx_empty_unicode;
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static const char *__pyx_f[] = {
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#define __Pyx_PyGILState_Release PyGILState_Release
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#define __Pyx_FastGIL_Forget()
#define __Pyx_FastGilFuncInit()
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#define __Pyx_MEMVIEW_STRIDED 16
#define __Pyx_MEMVIEW_FOLLOW 32
#define __Pyx_IS_C_CONTIG 1
#define __Pyx_IS_F_CONTIG 2
static int __Pyx_init_memviewslice(
struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference);
static CYTHON_INLINE int __pyx_add_acquisition_count_locked(
__pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
static CYTHON_INLINE int __pyx_sub_acquisition_count_locked(
__pyx_atomic_int *acquisition_count, PyThread_type_lock lock);
#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)
#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);
/* 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);
/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
#else
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif
/* 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
/* PyObjectCall2Args.proto */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2);
/* 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);
/* 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));
/* 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
/* GetAttr3.proto */
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);
/* PyDictVersioning.proto */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1)
#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\
(version_var) = __PYX_GET_DICT_VERSION(dict);\
(cache_var) = (value);
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\
static PY_UINT64_T __pyx_dict_version = 0;\
static PyObject *__pyx_dict_cached_value = NULL;\
if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\
(VAR) = __pyx_dict_cached_value;\
} else {\
(VAR) = __pyx_dict_cached_value = (LOOKUP);\
__pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\
}\
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);
#else
#define __PYX_GET_DICT_VERSION(dict) (0)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP);
#endif
/* GetModuleGlobalName.proto */
#if CYTHON_USE_DICT_VERSIONS
#define __Pyx_GetModuleGlobalName(var, name) {\
static PY_UINT64_T __pyx_dict_version = 0;\
static PyObject *__pyx_dict_cached_value = NULL;\
(var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\
(likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\
__Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
#define __Pyx_GetModuleGlobalNameUncached(var, name) {\
PY_UINT64_T __pyx_dict_version;\
PyObject *__pyx_dict_cached_value;\
(var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value);
#else
#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name)
#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name)
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *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);
/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);
/* 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
/* 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
/* 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);
Py_SIZE(list) = len+1;
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif
/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\
(inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif
/* ListExtend.proto */
static CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {
#if CYTHON_COMPILING_IN_CPYTHON
PyObject* none = _PyList_Extend((PyListObject*)L, v);
if (unlikely(!none))
return -1;
Py_DECREF(none);
return 0;
#else
return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);
#endif
}
/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
PyListObject* L = (PyListObject*) list;
Py_ssize_t len = Py_SIZE(list);
if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
Py_INCREF(x);
PyList_SET_ITEM(list, len, x);
Py_SIZE(list) = len+1;
return 0;
}
return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif
/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);
/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);
/* HasAttr.proto */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);
/* PyObject_GenericGetAttrNoDict.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
#endif
/* PyObject_GenericGetAttr.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr
#endif
/* SetVTable.proto */
static int __Pyx_SetVtable(PyObject *dict, void *vtable);
/* SetupReduce.proto */
static int __Pyx_setup_reduce(PyObject* type_obj);
/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif
/* CodeObjectCache.proto */
typedef struct {
PyCodeObject* code_object;
int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
int count;
int max_count;
__Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);
/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename);
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
#define __Pyx_GetBuffer PyObject_GetBuffer
#define __Pyx_ReleaseBuffer PyBuffer_Release
#endif
/* BufferStructDeclare.proto */
typedef struct {
Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
size_t refcount;
Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
__Pyx_Buffer *rcbuffer;
char *data;
__Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;
/* MemviewSliceIsContig.proto */
static int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);
/* OverlappingSlices.proto */
static int __pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize);
/* Capsule.proto */
static CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);
/* IsLittleEndian.proto */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void);
/* BufferFormatCheck.proto */
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type);
/* TypeInfoCompare.proto */
static int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);
/* MemviewSliceValidateAndInit.proto */
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *, int writable_flag);
/* ObjectToMemviewSlice.proto */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *, int writable_flag);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);
/* MemviewSliceCopyTemplate.proto */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object);
/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);
/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);
/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);
/* CIntFromPy.proto */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);
/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);
/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);
static PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/
static char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/
static PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/
static PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
static PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/
static PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/
/* Module declarations from 'glove.glove_cython' */
static PyTypeObject *__pyx_array_type = 0;
static PyTypeObject *__pyx_MemviewEnum_type = 0;
static PyTypeObject *__pyx_memoryview_type = 0;
static PyTypeObject *__pyx_memoryviewslice_type = 0;
static PyObject *generic = 0;
static PyObject *strided = 0;
static PyObject *indirect = 0;
static PyObject *contiguous = 0;
static PyObject *indirect_contiguous = 0;
static int __pyx_memoryview_thread_locks_used;
static PyThread_type_lock __pyx_memoryview_thread_locks[8];
static CYTHON_INLINE double __pyx_f_5glove_12glove_cython_double_min(double, double); /*proto*/
static struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/
static void *__pyx_align_pointer(void *, size_t); /*proto*/
static PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/
static CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/
static PyObject *_unellipsify(PyObject *, int); /*proto*/
static PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/
static struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/
static int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/
static char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/
static __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/
static PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/
static void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/
static void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/
static Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/
static Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/
static void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/
static int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/
static int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/
static int __pyx_memoryview_err(PyObject *, char *); /*proto*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/
static void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/
static void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/
static void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/
static void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/
static PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/
static __Pyx_TypeInfo __Pyx_TypeInfo_double = { "double", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };
static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 };
#define __Pyx_MODULE_NAME "glove.glove_cython"
extern int __pyx_module_is_main_glove__glove_cython;
int __pyx_module_is_main_glove__glove_cython = 0;
/* Implementation of 'glove.glove_cython' */
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_MemoryError;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_Ellipsis;
static PyObject *__pyx_builtin_id;
static PyObject *__pyx_builtin_IndexError;
static const char __pyx_k_O[] = "O";
static const char __pyx_k_c[] = "c";
static const char __pyx_k_i[] = "i";
static const char __pyx_k_j[] = "j";
static const char __pyx_k_id[] = "id";
static const char __pyx_k_np[] = "np";
static const char __pyx_k_sp[] = "sp";
static const char __pyx_k__19[] = "*";
static const char __pyx_k_col[] = "col";
static const char __pyx_k_dim[] = "dim";
static const char __pyx_k_new[] = "__new__";
static const char __pyx_k_obj[] = "obj";
static const char __pyx_k_row[] = "row";
static const char __pyx_k_base[] = "base";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_loss[] = "loss";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_mode[] = "mode";
static const char __pyx_k_name[] = "name";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_pack[] = "pack";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_step[] = "step";
static const char __pyx_k_stop[] = "stop";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_ASCII[] = "ASCII";
static const char __pyx_k_alpha[] = "alpha";
static const char __pyx_k_class[] = "__class__";
static const char __pyx_k_count[] = "count";
static const char __pyx_k_epoch[] = "epoch";
static const char __pyx_k_error[] = "error";
static const char __pyx_k_flags[] = "flags";
static const char __pyx_k_numpy[] = "numpy";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_start[] = "start";
static const char __pyx_k_counts[] = "counts";
static const char __pyx_k_encode[] = "encode";
static const char __pyx_k_epochs[] = "epochs";
static const char __pyx_k_format[] = "format";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_name_2[] = "__name__";
static const char __pyx_k_pickle[] = "pickle";
static const char __pyx_k_reduce[] = "__reduce__";
static const char __pyx_k_struct[] = "struct";
static const char __pyx_k_unpack[] = "unpack";
static const char __pyx_k_update[] = "update";
static const char __pyx_k_word_a[] = "word_a";
static const char __pyx_k_word_b[] = "word_b";
static const char __pyx_k_fortran[] = "fortran";
static const char __pyx_k_memview[] = "memview";
static const char __pyx_k_wordvec[] = "wordvec";
static const char __pyx_k_Ellipsis[] = "Ellipsis";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_gradient[] = "gradient";
static const char __pyx_k_itemsize[] = "itemsize";
static const char __pyx_k_max_loss[] = "max_loss";
static const char __pyx_k_pyx_type[] = "__pyx_type";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_wordbias[] = "wordbias";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_max_count[] = "max_count";
static const char __pyx_k_pyx_state[] = "__pyx_state";
static const char __pyx_k_reduce_ex[] = "__reduce_ex__";
static const char __pyx_k_IndexError[] = "IndexError";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_no_threads[] = "no_threads";
static const char __pyx_k_prediction[] = "prediction";
static const char __pyx_k_pyx_result[] = "__pyx_result";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_MemoryError[] = "MemoryError";
static const char __pyx_k_PickleError[] = "PickleError";
static const char __pyx_k_collections[] = "collections";
static const char __pyx_k_fit_vectors[] = "fit_vectors";
static const char __pyx_k_entry_weight[] = "entry_weight";
static const char __pyx_k_paragraphvec[] = "paragraphvec";
static const char __pyx_k_pyx_checksum[] = "__pyx_checksum";
static const char __pyx_k_scipy_sparse[] = "scipy.sparse";
static const char __pyx_k_stringsource[] = "stringsource";
static const char __pyx_k_learning_rate[] = "learning_rate";
static const char __pyx_k_pyx_getbuffer[] = "__pyx_getbuffer";
static const char __pyx_k_reduce_cython[] = "__reduce_cython__";
static const char __pyx_k_shuffle_index[] = "shuffle_index";
static const char __pyx_k_sum_gradients[] = "sum_gradients";
static const char __pyx_k_View_MemoryView[] = "View.MemoryView";
static const char __pyx_k_allocate_buffer[] = "allocate_buffer";
static const char __pyx_k_dtype_is_object[] = "dtype_is_object";
static const char __pyx_k_pyx_PickleError[] = "__pyx_PickleError";
static const char __pyx_k_setstate_cython[] = "__setstate_cython__";
static const char __pyx_k_shuffle_indices[] = "shuffle_indices";
static const char __pyx_k_no_cooccurrences[] = "no_cooccurrences";
static const char __pyx_k_pyx_unpickle_Enum[] = "__pyx_unpickle_Enum";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_glove_glove_cython[] = "glove.glove_cython";
static const char __pyx_k_strided_and_direct[] = "<strided and direct>";
static const char __pyx_k_transform_paragraph[] = "transform_paragraph";
static const char __pyx_k_strided_and_indirect[] = "<strided and indirect>";
static const char __pyx_k_contiguous_and_direct[] = "<contiguous and direct>";
static const char __pyx_k_initial_learning_rate[] = "initial_learning_rate";
static const char __pyx_k_wordvec_sum_gradients[] = "wordvec_sum_gradients";
static const char __pyx_k_MemoryView_of_r_object[] = "<MemoryView of %r object>";
static const char __pyx_k_glove_glove_cython_pyx[] = "glove\\glove_cython.pyx";
static const char __pyx_k_wordbias_sum_gradients[] = "wordbias_sum_gradients";
static const char __pyx_k_MemoryView_of_r_at_0x_x[] = "<MemoryView of %r at 0x%x>";
static const char __pyx_k_contiguous_and_indirect[] = "<contiguous and indirect>";
static const char __pyx_k_Cannot_index_with_type_s[] = "Cannot index with type '%s'";
static const char __pyx_k_Invalid_shape_in_axis_d_d[] = "Invalid shape in axis %d: %d.";
static const char __pyx_k_itemsize_0_for_cython_array[] = "itemsize <= 0 for cython.array";
static const char __pyx_k_unable_to_allocate_array_data[] = "unable to allocate array data.";
static const char __pyx_k_strided_and_direct_or_indirect[] = "<strided and direct or indirect>";
static const char __pyx_k_Buffer_view_does_not_expose_stri[] = "Buffer view does not expose strides";
static const char __pyx_k_Can_only_create_a_buffer_that_is[] = "Can only create a buffer that is contiguous in memory.";
static const char __pyx_k_Cannot_assign_to_read_only_memor[] = "Cannot assign to read-only memoryview";
static const char __pyx_k_Cannot_create_writable_memory_vi[] = "Cannot create writable memory view from read-only memoryview";
static const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = "Empty shape tuple for cython.array";
static const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = "Incompatible checksums (%s vs 0xb068931 = (name))";
static const char __pyx_k_Indirect_dimensions_not_supporte[] = "Indirect dimensions not supported";
static const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = "Invalid mode, expected 'c' or 'fortran', got %s";
static const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = "Out of bounds on buffer access (axis %d)";
static const char __pyx_k_Unable_to_convert_item_to_object[] = "Unable to convert item to object";
static const char __pyx_k_got_differing_extents_in_dimensi[] = "got differing extents in dimension %d (got %d and %d)";
static const char __pyx_k_no_default___reduce___due_to_non[] = "no default __reduce__ due to non-trivial __cinit__";
static const char __pyx_k_unable_to_allocate_shape_and_str[] = "unable to allocate shape and strides.";
static PyObject *__pyx_n_s_ASCII;
static PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;
static PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;
static PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;
static PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;
static PyObject *__pyx_kp_s_Cannot_index_with_type_s;
static PyObject *__pyx_n_s_Ellipsis;
static PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;
static PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;
static PyObject *__pyx_n_s_IndexError;
static PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;
static PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;
static PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;
static PyObject *__pyx_n_s_MemoryError;
static PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;
static PyObject *__pyx_kp_s_MemoryView_of_r_object;
static PyObject *__pyx_n_b_O;
static PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;
static PyObject *__pyx_n_s_PickleError;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_View_MemoryView;
static PyObject *__pyx_n_s__19;
static PyObject *__pyx_n_s_allocate_buffer;
static PyObject *__pyx_n_s_alpha;
static PyObject *__pyx_n_s_base;
static PyObject *__pyx_n_s_c;
static PyObject *__pyx_n_u_c;
static PyObject *__pyx_n_s_class;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_col;
static PyObject *__pyx_n_s_collections;
static PyObject *__pyx_kp_s_contiguous_and_direct;
static PyObject *__pyx_kp_s_contiguous_and_indirect;
static PyObject *__pyx_n_s_count;
static PyObject *__pyx_n_s_counts;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_dim;
static PyObject *__pyx_n_s_dtype_is_object;
static PyObject *__pyx_n_s_encode;
static PyObject *__pyx_n_s_entry_weight;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_epoch;
static PyObject *__pyx_n_s_epochs;
static PyObject *__pyx_n_s_error;
static PyObject *__pyx_n_s_fit_vectors;
static PyObject *__pyx_n_s_flags;
static PyObject *__pyx_n_s_format;
static PyObject *__pyx_n_s_fortran;
static PyObject *__pyx_n_u_fortran;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_n_s_glove_glove_cython;
static PyObject *__pyx_kp_s_glove_glove_cython_pyx;
static PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;
static PyObject *__pyx_n_s_gradient;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_id;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_initial_learning_rate;
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_learning_rate;
static PyObject *__pyx_n_s_loss;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_max_count;
static PyObject *__pyx_n_s_max_loss;
static PyObject *__pyx_n_s_memview;
static PyObject *__pyx_n_s_mode;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_name_2;
static PyObject *__pyx_n_s_ndim;
static PyObject *__pyx_n_s_new;
static PyObject *__pyx_n_s_no_cooccurrences;
static PyObject *__pyx_kp_s_no_default___reduce___due_to_non;
static PyObject *__pyx_n_s_no_threads;
static PyObject *__pyx_n_s_np;
static PyObject *__pyx_n_s_numpy;
static PyObject *__pyx_n_s_obj;
static PyObject *__pyx_n_s_pack;
static PyObject *__pyx_n_s_paragraphvec;
static PyObject *__pyx_n_s_pickle;
static PyObject *__pyx_n_s_prediction;
static PyObject *__pyx_n_s_pyx_PickleError;
static PyObject *__pyx_n_s_pyx_checksum;
static PyObject *__pyx_n_s_pyx_getbuffer;
static PyObject *__pyx_n_s_pyx_result;
static PyObject *__pyx_n_s_pyx_state;
static PyObject *__pyx_n_s_pyx_type;
static PyObject *__pyx_n_s_pyx_unpickle_Enum;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_reduce;
static PyObject *__pyx_n_s_reduce_cython;
static PyObject *__pyx_n_s_reduce_ex;
static PyObject *__pyx_n_s_row;
static PyObject *__pyx_n_s_scipy_sparse;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_setstate_cython;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_shuffle_index;
static PyObject *__pyx_n_s_shuffle_indices;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_sp;
static PyObject *__pyx_n_s_start;
static PyObject *__pyx_n_s_step;
static PyObject *__pyx_n_s_stop;
static PyObject *__pyx_kp_s_strided_and_direct;
static PyObject *__pyx_kp_s_strided_and_direct_or_indirect;
static PyObject *__pyx_kp_s_strided_and_indirect;
static PyObject *__pyx_kp_s_stringsource;
static PyObject *__pyx_n_s_struct;
static PyObject *__pyx_n_s_sum_gradients;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_transform_paragraph;
static PyObject *__pyx_kp_s_unable_to_allocate_array_data;
static PyObject *__pyx_kp_s_unable_to_allocate_shape_and_str;
static PyObject *__pyx_n_s_unpack;
static PyObject *__pyx_n_s_update;
static PyObject *__pyx_n_s_word_a;
static PyObject *__pyx_n_s_word_b;
static PyObject *__pyx_n_s_wordbias;
static PyObject *__pyx_n_s_wordbias_sum_gradients;
static PyObject *__pyx_n_s_wordvec;
static PyObject *__pyx_n_s_wordvec_sum_gradients;
static PyObject *__pyx_pf_5glove_12glove_cython_fit_vectors(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_wordvec, __Pyx_memviewslice __pyx_v_wordvec_sum_gradients, __Pyx_memviewslice __pyx_v_wordbias, __Pyx_memviewslice __pyx_v_wordbias_sum_gradients, __Pyx_memviewslice __pyx_v_row, __Pyx_memviewslice __pyx_v_col, __Pyx_memviewslice __pyx_v_counts, __Pyx_memviewslice __pyx_v_shuffle_indices, double __pyx_v_initial_learning_rate, double __pyx_v_max_count, double __pyx_v_alpha, double __pyx_v_max_loss, CYTHON_UNUSED int __pyx_v_no_threads); /* proto */
static PyObject *__pyx_pf_5glove_12glove_cython_2transform_paragraph(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_wordvec, __Pyx_memviewslice __pyx_v_wordbias, __Pyx_memviewslice __pyx_v_paragraphvec, __Pyx_memviewslice __pyx_v_sum_gradients, __Pyx_memviewslice __pyx_v_row, __Pyx_memviewslice __pyx_v_counts, __Pyx_memviewslice __pyx_v_shuffle_indices, double __pyx_v_initial_learning_rate, double __pyx_v_max_count, double __pyx_v_alpha, int __pyx_v_epochs); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array___cinit__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_shape, Py_ssize_t __pyx_v_itemsize, PyObject *__pyx_v_format, PyObject *__pyx_v_mode, int __pyx_v_allocate_buffer); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_2__getbuffer__(struct __pyx_array_obj *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_array___pyx_pf_15View_dot_MemoryView_5array_4__dealloc__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_5array_7memview___get__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_array___pyx_pf_15View_dot_MemoryView_5array_6__len__(struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_8__getattr__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_attr); /* proto */
static PyObject *__pyx_array___pyx_pf_15View_dot_MemoryView_5array_10__getitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item); /* proto */
static int __pyx_array___pyx_pf_15View_dot_MemoryView_5array_12__setitem__(struct __pyx_array_obj *__pyx_v_self, PyObject *__pyx_v_item, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf___pyx_array___reduce_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_array_2__setstate_cython__(CYTHON_UNUSED struct __pyx_array_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
static int __pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum___init__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v_name); /* proto */
static PyObject *__pyx_MemviewEnum___pyx_pf_15View_dot_MemoryView_4Enum_2__repr__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum___reduce_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_MemviewEnum_2__setstate_cython__(struct __pyx_MemviewEnum_obj *__pyx_v_self, PyObject *__pyx_v___pyx_state); /* proto */
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static void __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_2__dealloc__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_4__getitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto */
static int __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_6__setitem__(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto */
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static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_1T___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4base___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_5shape___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_7strides___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_10suboffsets___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4ndim___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_8itemsize___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_6nbytes___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_10memoryview_4size___get__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static Py_ssize_t __pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_10__len__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_12__repr__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_14__str__(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_16is_c_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_18is_f_contig(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_20copy(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_memoryview___pyx_pf_15View_dot_MemoryView_10memoryview_22copy_fortran(struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryview___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryview_obj *__pyx_v_self); /* proto */
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static void __pyx_memoryviewslice___pyx_pf_15View_dot_MemoryView_16_memoryviewslice___dealloc__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_15View_dot_MemoryView_16_memoryviewslice_4base___get__(struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice___reduce_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self); /* proto */
static PyObject *__pyx_pf___pyx_memoryviewslice_2__setstate_cython__(CYTHON_UNUSED struct __pyx_memoryviewslice_obj *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v___pyx_state); /* proto */
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static PyObject *__pyx_tp_new_array(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
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static PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
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static PyObject *__pyx_int_184977713;
static PyObject *__pyx_int_neg_1;
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static PyObject *__pyx_tuple__8;
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static PyObject *__pyx_tuple__11;
static PyObject *__pyx_tuple__12;
static PyObject *__pyx_tuple__13;
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static PyObject *__pyx_tuple__18;
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static PyObject *__pyx_tuple__27;
static PyObject *__pyx_tuple__28;
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/* Late includes */
/* "glove/glove_cython.pyx":10
*
*
* cdef inline double double_min(double a, double b) nogil: return a if a <= b else b # <<<<<<<<<<<<<<
* cdef inline int int_min(int a, int b) nogil: return a if a <= b else b
* cdef inline int int_max(int a, int b) nogil: return a if a > b else b
*/
static CYTHON_INLINE double __pyx_f_5glove_12glove_cython_double_min(double __pyx_v_a, double __pyx_v_b) {
double __pyx_r;
double __pyx_t_1;
if (((__pyx_v_a <= __pyx_v_b) != 0)) {
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} else {
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}
__pyx_r = __pyx_t_1;
goto __pyx_L0;
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "glove/glove_cython.pyx":11
*
* cdef inline double double_min(double a, double b) nogil: return a if a <= b else b
* cdef inline int int_min(int a, int b) nogil: return a if a <= b else b # <<<<<<<<<<<<<<
* cdef inline int int_max(int a, int b) nogil: return a if a > b else b
*
*/
static CYTHON_INLINE int __pyx_f_5glove_12glove_cython_int_min(int __pyx_v_a, int __pyx_v_b) {
int __pyx_r;
int __pyx_t_1;
if (((__pyx_v_a <= __pyx_v_b) != 0)) {
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goto __pyx_L0;
/* function exit code */
__pyx_L0:;
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}
/* "glove/glove_cython.pyx":12
* cdef inline double double_min(double a, double b) nogil: return a if a <= b else b
* cdef inline int int_min(int a, int b) nogil: return a if a <= b else b
* cdef inline int int_max(int a, int b) nogil: return a if a > b else b # <<<<<<<<<<<<<<
*
*
*/
static CYTHON_INLINE int __pyx_f_5glove_12glove_cython_int_max(int __pyx_v_a, int __pyx_v_b) {
int __pyx_r;
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/* function exit code */
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/* "glove/glove_cython.pyx":20
*
*
* def fit_vectors(double[:, ::1] wordvec, # <<<<<<<<<<<<<<
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* double[::1] wordbias,
*/
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
case 7:
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CYTHON_FALLTHROUGH;
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if (likely((values[8] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_initial_learning_rate)) != 0)) kw_args--;
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CYTHON_FALLTHROUGH;
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static PyObject *__pyx_pf_5glove_12glove_cython_fit_vectors(CYTHON_UNUSED PyObject *__pyx_self, __Pyx_memviewslice __pyx_v_wordvec, __Pyx_memviewslice __pyx_v_wordvec_sum_gradients, __Pyx_memviewslice __pyx_v_wordbias, __Pyx_memviewslice __pyx_v_wordbias_sum_gradients, __Pyx_memviewslice __pyx_v_row, __Pyx_memviewslice __pyx_v_col, __Pyx_memviewslice __pyx_v_counts, __Pyx_memviewslice __pyx_v_shuffle_indices, double __pyx_v_initial_learning_rate, double __pyx_v_max_count, double __pyx_v_alpha, double __pyx_v_max_loss, CYTHON_UNUSED int __pyx_v_no_threads) {
int __pyx_v_dim;
CYTHON_UNUSED int __pyx_v_no_cooccurrences;
int __pyx_v_word_a;
int __pyx_v_word_b;
double __pyx_v_count;
double __pyx_v_learning_rate;
double __pyx_v_gradient;
double __pyx_v_prediction;
double __pyx_v_entry_weight;
double __pyx_v_loss;
int __pyx_v_i;
int __pyx_v_j;
int __pyx_v_shuffle_index;
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Py_ssize_t __pyx_t_4;
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Py_ssize_t __pyx_t_6;
Py_ssize_t __pyx_t_7;
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int __pyx_t_9;
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Py_ssize_t __pyx_t_13;
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/* "glove/glove_cython.pyx":43
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* cdef int no_cooccurrences = row.shape[0]
*
*/
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/* "glove/glove_cython.pyx":44
* # number of cooccurrences.
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* cdef int no_cooccurrences = row.shape[0] # <<<<<<<<<<<<<<
*
* # Hold indices of current words and
*/
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/* "glove/glove_cython.pyx":59
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/* "glove/glove_cython.pyx":60
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* schedule='dynamic'):
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{
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/* Initialize private variables to invalid values */
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* schedule='dynamic'):
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/* "glove/glove_cython.pyx":64
* shuffle_index = shuffle_indices[j]
* word_a = row[shuffle_index]
* word_b = col[shuffle_index] # <<<<<<<<<<<<<<
* count = counts[shuffle_index]
*
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/* "glove/glove_cython.pyx":65
* word_a = row[shuffle_index]
* word_b = col[shuffle_index]
* count = counts[shuffle_index] # <<<<<<<<<<<<<<
*
* # Get prediction
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*
* # Get prediction
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* for i in range(dim):
*/
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*
*/
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*
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*
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*/
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}
/* "glove/glove_cython.pyx":73
* prediction = prediction + wordvec[word_a, i] * wordvec[word_b, i]
*
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/* "glove/glove_cython.pyx":76
*
* # Compute loss and the example weight.
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*
*/
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/* "glove/glove_cython.pyx":77
* # Compute loss and the example weight.
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*
* # Clip the loss for numerical stability.
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/* "glove/glove_cython.pyx":80
*
* # Clip the loss for numerical stability.
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/* "glove/glove_cython.pyx":81
* # Clip the loss for numerical stability.
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*/
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/* "glove/glove_cython.pyx":80
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* # Clip the loss for numerical stability.
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*/
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* if loss < -max_loss:
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*
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*
*/
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__pyx_L12:;
/* "glove/glove_cython.pyx":87
* # Update step: apply gradients and reproject
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/* "glove/glove_cython.pyx":89
* for i in range(dim):
*
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/* "glove/glove_cython.pyx":90
*
* learning_rate = initial_learning_rate / sqrt(wordvec_sum_gradients[word_a, i])
* gradient = loss * wordvec[word_b, i] # <<<<<<<<<<<<<<
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/* "glove/glove_cython.pyx":91
* learning_rate = initial_learning_rate / sqrt(wordvec_sum_gradients[word_a, i])
* gradient = loss * wordvec[word_b, i]
* wordvec[word_a, i] = (wordvec[word_a, i] - learning_rate # <<<<<<<<<<<<<<
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*/
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/* "glove/glove_cython.pyx":92
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* wordvec[word_a, i] = (wordvec[word_a, i] - learning_rate
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*
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__pyx_t_25 = __pyx_v_i;
*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_wordvec.data + __pyx_t_24 * __pyx_v_wordvec.strides[0]) )) + __pyx_t_25)) )) = ((*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_wordvec.data + __pyx_t_22 * __pyx_v_wordvec.strides[0]) )) + __pyx_t_23)) ))) - (__pyx_v_learning_rate * __pyx_v_gradient));
/* "glove/glove_cython.pyx":93
* wordvec[word_a, i] = (wordvec[word_a, i] - learning_rate
* * gradient)
* wordvec_sum_gradients[word_a, i] += gradient ** 2 # <<<<<<<<<<<<<<
*
* learning_rate = initial_learning_rate / sqrt(wordvec_sum_gradients[word_b, i])
*/
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__pyx_t_27 = __pyx_v_i;
*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_wordvec_sum_gradients.data + __pyx_t_26 * __pyx_v_wordvec_sum_gradients.strides[0]) )) + __pyx_t_27)) )) += pow(__pyx_v_gradient, 2.0);
/* "glove/glove_cython.pyx":95
* wordvec_sum_gradients[word_a, i] += gradient ** 2
*
* learning_rate = initial_learning_rate / sqrt(wordvec_sum_gradients[word_b, i]) # <<<<<<<<<<<<<<
* gradient = loss * wordvec[word_a, i]
* wordvec[word_b, i] = (wordvec[word_b, i] - learning_rate
*/
__pyx_t_28 = __pyx_v_word_b;
__pyx_t_29 = __pyx_v_i;
__pyx_v_learning_rate = (__pyx_v_initial_learning_rate / sqrt((*((double *) ( /* dim=1 */ ((char *) (((double *) ( /* dim=0 */ (__pyx_v_wordvec_sum_gradients.data + __pyx_t_28 * __pyx_v_wordvec_sum_gradients.strides[0]) )) + __pyx_t_29)) )))));
/* "glove/glove_cython.pyx":96
*
* learning_rate = initial_learning_rate / sqrt(wordvec_sum_gradients[word_b, i])
* gradient = loss * wordvec[word_a, i] # <<<<<<<<<<<<<<
* wordvec[word_b, i] = (wordvec[word_b, i] - learning_rate
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*/
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__pyx_t_31 = __pyx_v_i;
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/* "glove/glove_cython.pyx":97
* learning_rate = initial_learning_rate / sqrt(wordvec_sum_gradients[word_b, i])
* gradient = loss * wordvec[word_a, i]
* wordvec[word_b, i] = (wordvec[word_b, i] - learning_rate # <<<<<<<<<<<<<<
* * gradient)
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*/
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*/
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/* "View.MemoryView":782
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/* "View.MemoryView":710
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/* "View.MemoryView":807
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*/
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int __pyx_v_negative_step;
int __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
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*
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/* "View.MemoryView":829
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/* "View.MemoryView":831
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/* "View.MemoryView":831
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/* "View.MemoryView":827
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goto __pyx_L3;
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/* "View.MemoryView":835
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*/
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/* "View.MemoryView":838
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*
*
*/
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/* "View.MemoryView":837
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*/
}
/* "View.MemoryView":841
*
*
* if have_start: # <<<<<<<<<<<<<<
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*/
__pyx_t_2 = (__pyx_v_have_start != 0);
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/* "View.MemoryView":842
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/* "View.MemoryView":843
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*/
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/* "View.MemoryView":844
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*/
__pyx_t_2 = ((__pyx_v_start < 0) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":845
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/* "View.MemoryView":844
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}
/* "View.MemoryView":842
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*/
goto __pyx_L12;
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/* "View.MemoryView":846
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*/
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/* "View.MemoryView":847
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if (__pyx_t_2) {
/* "View.MemoryView":848
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/* "View.MemoryView":847
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goto __pyx_L14;
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/* "View.MemoryView":850
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__pyx_L14:;
/* "View.MemoryView":846
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__pyx_L12:;
/* "View.MemoryView":841
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*/
goto __pyx_L11;
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/* "View.MemoryView":852
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* if negative_step: # <<<<<<<<<<<<<<
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/* "View.MemoryView":852
* start = shape
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*/
goto __pyx_L15;
}
/* "View.MemoryView":855
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* if have_stop:
*/
/*else*/ {
__pyx_v_start = 0;
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__pyx_L15:;
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__pyx_L11:;
/* "View.MemoryView":857
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__pyx_t_2 = (__pyx_v_have_stop != 0);
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/* "View.MemoryView":858
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*/
__pyx_t_2 = ((__pyx_v_stop < 0) != 0);
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/* "View.MemoryView":859
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*/
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/* "View.MemoryView":858
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*/
goto __pyx_L17;
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goto __pyx_L16;
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goto __pyx_L19;
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/* "View.MemoryView":868
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__pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, __pyx_v_to_object_func, __pyx_v_to_dtype_func, __pyx_v_memview->dtype_is_object); if (unlikely(!__pyx_t_5)) __PYX_ERR(1, 1101, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_5);
__pyx_r = __pyx_t_5;
__pyx_t_5 = 0;
goto __pyx_L0;
/* "View.MemoryView":1087
*
* @cname('__pyx_memoryview_copy_object_from_slice')
* cdef memoryview_copy_from_slice(memoryview memview, __Pyx_memviewslice *memviewslice): # <<<<<<<<<<<<<<
* """
* Create a new memoryview object from a given memoryview object and slice.
*/
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_5);
__Pyx_AddTraceback("View.MemoryView.memoryview_copy_from_slice", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = 0;
__pyx_L0:;
__Pyx_XGIVEREF(__pyx_r);
__Pyx_RefNannyFinishContext();
return __pyx_r;
}
/* "View.MemoryView":1109
*
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<<
* if arg < 0:
* return -arg
*/
static Py_ssize_t abs_py_ssize_t(Py_ssize_t __pyx_v_arg) {
Py_ssize_t __pyx_r;
int __pyx_t_1;
/* "View.MemoryView":1110
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0: # <<<<<<<<<<<<<<
* return -arg
* else:
*/
__pyx_t_1 = ((__pyx_v_arg < 0) != 0);
if (__pyx_t_1) {
/* "View.MemoryView":1111
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0:
* return -arg # <<<<<<<<<<<<<<
* else:
* return arg
*/
__pyx_r = (-__pyx_v_arg);
goto __pyx_L0;
/* "View.MemoryView":1110
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil:
* if arg < 0: # <<<<<<<<<<<<<<
* return -arg
* else:
*/
}
/* "View.MemoryView":1113
* return -arg
* else:
* return arg # <<<<<<<<<<<<<<
*
* @cname('__pyx_get_best_slice_order')
*/
/*else*/ {
__pyx_r = __pyx_v_arg;
goto __pyx_L0;
}
/* "View.MemoryView":1109
*
*
* cdef Py_ssize_t abs_py_ssize_t(Py_ssize_t arg) nogil: # <<<<<<<<<<<<<<
* if arg < 0:
* return -arg
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
static char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) {
int __pyx_v_i;
Py_ssize_t __pyx_v_c_stride;
Py_ssize_t __pyx_v_f_stride;
char __pyx_r;
int __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
/* "View.MemoryView":1121
* """
* cdef int i
* cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<<
* cdef Py_ssize_t f_stride = 0
*
*/
__pyx_v_c_stride = 0;
/* "View.MemoryView":1122
* cdef int i
* cdef Py_ssize_t c_stride = 0
* cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<<
*
* for i in range(ndim - 1, -1, -1):
*/
__pyx_v_f_stride = 0;
/* "View.MemoryView":1124
* cdef Py_ssize_t f_stride = 0
*
* for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i]
*/
for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {
__pyx_v_i = __pyx_t_1;
/* "View.MemoryView":1125
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1126
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1127
* if mslice.shape[i] > 1:
* c_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
goto __pyx_L4_break;
/* "View.MemoryView":1125
*
* for i in range(ndim - 1, -1, -1):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* c_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L4_break:;
/* "View.MemoryView":1129
* break
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
*/
__pyx_t_1 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_1;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
__pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1131
* for i in range(ndim):
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i] # <<<<<<<<<<<<<<
* break
*
*/
__pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);
/* "View.MemoryView":1132
* if mslice.shape[i] > 1:
* f_stride = mslice.strides[i]
* break # <<<<<<<<<<<<<<
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
*/
goto __pyx_L7_break;
/* "View.MemoryView":1130
*
* for i in range(ndim):
* if mslice.shape[i] > 1: # <<<<<<<<<<<<<<
* f_stride = mslice.strides[i]
* break
*/
}
}
__pyx_L7_break:;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
__pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1135
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):
* return 'C' # <<<<<<<<<<<<<<
* else:
* return 'F'
*/
__pyx_r = 'C';
goto __pyx_L0;
/* "View.MemoryView":1134
* break
*
* if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<
* return 'C'
* else:
*/
}
/* "View.MemoryView":1137
* return 'C'
* else:
* return 'F' # <<<<<<<<<<<<<<
*
* @cython.cdivision(True)
*/
/*else*/ {
__pyx_r = 'F';
goto __pyx_L0;
}
/* "View.MemoryView":1116
*
* @cname('__pyx_get_best_slice_order')
* cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<
* """
* Figure out the best memory access order for a given slice.
*/
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
/* "View.MemoryView":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,
*/
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
*
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* raise error(msg.decode('ascii'))
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/* "View.MemoryView":1265
* raise error(msg.decode('ascii'))
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* @cname('__pyx_memoryview_err')
* cdef int _err(object error, char *msg) except -1 with gil: # <<<<<<<<<<<<<<
* if msg != NULL:
* raise error(msg.decode('ascii'))
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/* function exit code */
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/* "View.MemoryView":1268
*
* @cname('__pyx_memoryview_copy_contents')
* cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice dst,
* int src_ndim, int dst_ndim,
*/
static int __pyx_memoryview_copy_contents(__Pyx_memviewslice __pyx_v_src, __Pyx_memviewslice __pyx_v_dst, int __pyx_v_src_ndim, int __pyx_v_dst_ndim, int __pyx_v_dtype_is_object) {
void *__pyx_v_tmpdata;
size_t __pyx_v_itemsize;
int __pyx_v_i;
char __pyx_v_order;
int __pyx_v_broadcasting;
int __pyx_v_direct_copy;
__Pyx_memviewslice __pyx_v_tmp;
int __pyx_v_ndim;
int __pyx_r;
Py_ssize_t __pyx_t_1;
int __pyx_t_2;
int __pyx_t_3;
int __pyx_t_4;
int __pyx_t_5;
int __pyx_t_6;
void *__pyx_t_7;
int __pyx_t_8;
/* "View.MemoryView":1276
* Check for overlapping memory and verify the shapes.
* """
* cdef void *tmpdata = NULL # <<<<<<<<<<<<<<
* cdef size_t itemsize = src.memview.view.itemsize
* cdef int i
*/
__pyx_v_tmpdata = NULL;
/* "View.MemoryView":1277
* """
* cdef void *tmpdata = NULL
* cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<<
* cdef int i
* cdef char order = get_best_order(&src, src_ndim)
*/
__pyx_t_1 = __pyx_v_src.memview->view.itemsize;
__pyx_v_itemsize = __pyx_t_1;
/* "View.MemoryView":1279
* cdef size_t itemsize = src.memview.view.itemsize
* cdef int i
* cdef char order = get_best_order(&src, src_ndim) # <<<<<<<<<<<<<<
* cdef bint broadcasting = False
* cdef bint direct_copy = False
*/
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/* "View.MemoryView":1280
* cdef int i
* cdef char order = get_best_order(&src, src_ndim)
* cdef bint broadcasting = False # <<<<<<<<<<<<<<
* cdef bint direct_copy = False
* cdef __Pyx_memviewslice tmp
*/
__pyx_v_broadcasting = 0;
/* "View.MemoryView":1281
* cdef char order = get_best_order(&src, src_ndim)
* cdef bint broadcasting = False
* cdef bint direct_copy = False # <<<<<<<<<<<<<<
* cdef __Pyx_memviewslice tmp
*
*/
__pyx_v_direct_copy = 0;
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* cdef __Pyx_memviewslice tmp
*
* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
*/
__pyx_t_2 = ((__pyx_v_src_ndim < __pyx_v_dst_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1285
*
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim) # <<<<<<<<<<<<<<
* elif dst_ndim < src_ndim:
* broadcast_leading(&dst, dst_ndim, src_ndim)
*/
__pyx_memoryview_broadcast_leading((&__pyx_v_src), __pyx_v_src_ndim, __pyx_v_dst_ndim);
/* "View.MemoryView":1284
* cdef __Pyx_memviewslice tmp
*
* if src_ndim < dst_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim:
*/
goto __pyx_L3;
}
/* "View.MemoryView":1286
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
__pyx_t_2 = ((__pyx_v_dst_ndim < __pyx_v_src_ndim) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1287
* broadcast_leading(&src, src_ndim, dst_ndim)
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* broadcast_leading(&dst, dst_ndim, src_ndim) # <<<<<<<<<<<<<<
*
* cdef int ndim = max(src_ndim, dst_ndim)
*/
__pyx_memoryview_broadcast_leading((&__pyx_v_dst), __pyx_v_dst_ndim, __pyx_v_src_ndim);
/* "View.MemoryView":1286
* if src_ndim < dst_ndim:
* broadcast_leading(&src, src_ndim, dst_ndim)
* elif dst_ndim < src_ndim: # <<<<<<<<<<<<<<
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
*/
}
__pyx_L3:;
/* "View.MemoryView":1289
* broadcast_leading(&dst, dst_ndim, src_ndim)
*
* cdef int ndim = max(src_ndim, dst_ndim) # <<<<<<<<<<<<<<
*
* for i in range(ndim):
*/
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__pyx_t_4 = __pyx_v_src_ndim;
if (((__pyx_t_3 > __pyx_t_4) != 0)) {
__pyx_t_5 = __pyx_t_3;
} else {
__pyx_t_5 = __pyx_t_4;
}
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/* "View.MemoryView":1291
* cdef int ndim = max(src_ndim, dst_ndim)
*
* for i in range(ndim): # <<<<<<<<<<<<<<
* if src.shape[i] != dst.shape[i]:
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*/
__pyx_t_5 = __pyx_v_ndim;
__pyx_t_3 = __pyx_t_5;
for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {
__pyx_v_i = __pyx_t_4;
/* "View.MemoryView":1292
*
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]: # <<<<<<<<<<<<<<
* if src.shape[i] == 1:
* broadcasting = True
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) != (__pyx_v_dst.shape[__pyx_v_i])) != 0);
if (__pyx_t_2) {
/* "View.MemoryView":1293
* for i in range(ndim):
* if src.shape[i] != dst.shape[i]:
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* broadcasting = True
* src.strides[i] = 0
*/
__pyx_t_2 = (((__pyx_v_src.shape[__pyx_v_i]) == 1) != 0);
if (__pyx_t_2) {
/* "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(1, 1297, __pyx_L1_error)
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/* "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(1, 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(1, 1307, __pyx_L1_error)
__pyx_v_tmpdata = __pyx_t_7;
/* "View.MemoryView":1308
*
* tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)
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*
* if not broadcasting:
*/
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/* "View.MemoryView":1302
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*
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*
* if not slice_is_contig(src, order, ndim):
*/
}
/* "View.MemoryView":1310
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*/
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/* "View.MemoryView":1313
*
*
* if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<
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*/
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if (__pyx_t_2) {
/* "View.MemoryView":1314
*
* if slice_is_contig(src, 'C', ndim):
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* elif slice_is_contig(src, 'F', ndim):
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*/
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/* "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):
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* 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)
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*
* 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):
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* elif slice_is_contig(src, 'F', ndim): # <<<<<<<<<<<<<<
* direct_copy = slice_is_contig(dst, 'F', ndim)
*
*/
}
__pyx_L12:;
/* "View.MemoryView":1318
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*
* if direct_copy: # <<<<<<<<<<<<<<
*
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*/
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/* "View.MemoryView":1320
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*
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* memcpy(dst.data, src.data, slice_get_size(&src, ndim))
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*/
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/* "View.MemoryView":1321
*
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* 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))
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* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1324
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* 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');
if (__pyx_t_2) {
__pyx_t_2 = ('F' == __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim));
}
__pyx_t_8 = (__pyx_t_2 != 0);
if (__pyx_t_8) {
/* "View.MemoryView":1329
*
*
* transpose_memslice(&src) # <<<<<<<<<<<<<<
* transpose_memslice(&dst)
*
*/
__pyx_t_5 = __pyx_memslice_transpose((&__pyx_v_src)); if (unlikely(__pyx_t_5 == ((int)0))) __PYX_ERR(1, 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(1, 1330, __pyx_L1_error)
/* "View.MemoryView":1326
* 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);
/* "View.MemoryView":1334
* refcount_copying(&dst, dtype_is_object, ndim, False)
* copy_strided_to_strided(&src, &dst, ndim, itemsize)
* refcount_copying(&dst, dtype_is_object, ndim, True) # <<<<<<<<<<<<<<
*
* free(tmpdata)
*/
__pyx_memoryview_refcount_copying((&__pyx_v_dst), __pyx_v_dtype_is_object, __pyx_v_ndim, 1);
/* "View.MemoryView":1336
* refcount_copying(&dst, dtype_is_object, ndim, True)
*
* free(tmpdata) # <<<<<<<<<<<<<<
* return 0
*
*/
free(__pyx_v_tmpdata);
/* "View.MemoryView":1337
*
* free(tmpdata)
* return 0 # <<<<<<<<<<<<<<
*
* @cname('__pyx_memoryview_broadcast_leading')
*/
__pyx_r = 0;
goto __pyx_L0;
/* "View.MemoryView":1268
*
* @cname('__pyx_memoryview_copy_contents')
* cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<<
* __Pyx_memviewslice dst,
* int src_ndim, int dst_ndim,
*/
/* function exit code */
__pyx_L1_error:;
{
#ifdef WITH_THREAD
PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();
#endif
__Pyx_AddTraceback("View.MemoryView.memoryview_copy_contents", __pyx_clineno, __pyx_lineno, __pyx_filename);
#ifdef WITH_THREAD
__Pyx_PyGILState_Release(__pyx_gilstate_save);
#endif
}
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return __pyx_r;
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/* "View.MemoryView":1340
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__pyx_memoryview_refcount_copying(__pyx_v_dst, __pyx_v_dtype_is_object, __pyx_v_ndim, 0);
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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
0, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_array, /*tp_as_sequence*/
&__pyx_tp_as_mapping_array, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
__pyx_tp_getattro_array, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_array, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/
0, /*tp_doc*/
0, /*tp_traverse*/
0, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_array, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_array, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_array, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
struct __pyx_MemviewEnum_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_MemviewEnum_obj *)o);
p->name = Py_None; Py_INCREF(Py_None);
return o;
}
static void __pyx_tp_dealloc_Enum(PyObject *o) {
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
Py_CLEAR(p->name);
(*Py_TYPE(o)->tp_free)(o);
}
static int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
if (p->name) {
e = (*v)(p->name, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear_Enum(PyObject *o) {
PyObject* tmp;
struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;
tmp = ((PyObject*)p->name);
p->name = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
return 0;
}
static PyMethodDef __pyx_methods_Enum[] = {
{"__reduce_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0},
{"__setstate_cython__", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0},
{0, 0, 0, 0}
};
static PyTypeObject __pyx_type___pyx_MemviewEnum = {
PyVarObject_HEAD_INIT(0, 0)
"glove.glove_cython.Enum", /*tp_name*/
sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_Enum, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_MemviewEnum___repr__, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_Enum, /*tp_traverse*/
__pyx_tp_clear_Enum, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_Enum, /*tp_methods*/
0, /*tp_members*/
0, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
__pyx_MemviewEnum___init__, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_Enum, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#if PY_VERSION_HEX >= 0x030400a1
0, /*tp_finalize*/
#endif
#if PY_VERSION_HEX >= 0x030800b1
0, /*tp_vectorcall*/
#endif
#if PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000
0, /*tp_print*/
#endif
};
static struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;
static PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {
struct __pyx_memoryview_obj *p;
PyObject *o;
if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {
o = (*t->tp_alloc)(t, 0);
} else {
o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);
}
if (unlikely(!o)) return 0;
p = ((struct __pyx_memoryview_obj *)o);
p->__pyx_vtab = __pyx_vtabptr_memoryview;
p->obj = Py_None; Py_INCREF(Py_None);
p->_size = Py_None; Py_INCREF(Py_None);
p->_array_interface = Py_None; Py_INCREF(Py_None);
p->view.obj = NULL;
if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;
return o;
bad:
Py_DECREF(o); o = 0;
return NULL;
}
static void __pyx_tp_dealloc_memoryview(PyObject *o) {
struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;
#if CYTHON_USE_TP_FINALIZE
if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {
if (PyObject_CallFinalizerFromDealloc(o)) return;
}
#endif
PyObject_GC_UnTrack(o);
{
PyObject *etype, *eval, *etb;
PyErr_Fetch(&etype, &eval, &etb);
++Py_REFCNT(o);
__pyx_memoryview___dealloc__(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->obj);
Py_CLEAR(p->_size);
Py_CLEAR(p->_array_interface);
(*Py_TYPE(o)->tp_free)(o);
}
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)
"glove.glove_cython.memoryview", /*tp_name*/
sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/
0, /*tp_itemsize*/
__pyx_tp_dealloc_memoryview, /*tp_dealloc*/
#if PY_VERSION_HEX < 0x030800b4
0, /*tp_print*/
#endif
#if PY_VERSION_HEX >= 0x030800b4
0, /*tp_vectorcall_offset*/
#endif
0, /*tp_getattr*/
0, /*tp_setattr*/
#if PY_MAJOR_VERSION < 3
0, /*tp_compare*/
#endif
#if PY_MAJOR_VERSION >= 3
0, /*tp_as_async*/
#endif
__pyx_memoryview___repr__, /*tp_repr*/
0, /*tp_as_number*/
&__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/
&__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
__pyx_memoryview___str__, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
&__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
0, /*tp_doc*/
__pyx_tp_traverse_memoryview, /*tp_traverse*/
__pyx_tp_clear_memoryview, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
__pyx_methods_memoryview, /*tp_methods*/
0, /*tp_members*/
__pyx_getsets_memoryview, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
0, /*tp_init*/
0, /*tp_alloc*/
__pyx_tp_new_memoryview, /*tp_new*/
0, /*tp_free*/
0, /*tp_is_gc*/
0, /*tp_bases*/
0, /*tp_mro*/
0, /*tp_cache*/
0, /*tp_subclasses*/
0, /*tp_weaklist*/
0, /*tp_del*/
0, /*tp_version_tag*/
#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);
++Py_REFCNT(o);
__pyx_memoryviewslice___dealloc__(o);
--Py_REFCNT(o);
PyErr_Restore(etype, eval, etb);
}
Py_CLEAR(p->from_object);
PyObject_GC_Track(o);
__pyx_tp_dealloc_memoryview(o);
}
static int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {
int e;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
e = __pyx_tp_traverse_memoryview(o, v, a); if (e) return e;
if (p->from_object) {
e = (*v)(p->from_object, a); if (e) return e;
}
return 0;
}
static int __pyx_tp_clear__memoryviewslice(PyObject *o) {
PyObject* tmp;
struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;
__pyx_tp_clear_memoryview(o);
tmp = ((PyObject*)p->from_object);
p->from_object = Py_None; Py_INCREF(Py_None);
Py_XDECREF(tmp);
__PYX_XDEC_MEMVIEW(&p->from_slice, 1);
return 0;
}
static PyObject *__pyx_getprop___pyx_memoryviewslice_base(PyObject *o, CYTHON_UNUSED void *x) {
return __pyx_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)
"glove.glove_cython._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_glove_cython(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
{Py_mod_create, (void*)__pyx_pymod_create},
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/* PyObjectGetAttrStr */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
PyTypeObject* tp = Py_TYPE(obj);
if (likely(tp->tp_getattro))
return tp->tp_getattro(obj, attr_name);
#if PY_MAJOR_VERSION < 3
if (likely(tp->tp_getattr))
return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
#endif
return PyObject_GetAttr(obj, attr_name);
}
#endif
/* GetBuiltinName */
static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
if (unlikely(!result)) {
PyErr_Format(PyExc_NameError,
#if PY_MAJOR_VERSION >= 3
"name '%U' is not defined", name);
#else
"name '%.200s' is not defined", PyString_AS_STRING(name));
#endif
}
return result;
}
/* RaiseArgTupleInvalid */
static void __Pyx_RaiseArgtupleInvalid(
const char* func_name,
int exact,
Py_ssize_t num_min,
Py_ssize_t num_max,
Py_ssize_t num_found)
{
Py_ssize_t num_expected;
const char *more_or_less;
if (num_found < num_min) {
num_expected = num_min;
more_or_less = "at least";
} else {
num_expected = num_max;
more_or_less = "at most";
}
if (exact) {
more_or_less = "exactly";
}
PyErr_Format(PyExc_TypeError,
"%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)",
func_name, more_or_less, num_expected,
(num_expected == 1) ? "" : "s", num_found);
}
/* RaiseDoubleKeywords */
static void __Pyx_RaiseDoubleKeywordsError(
const char* func_name,
PyObject* kw_name)
{
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION >= 3
"%s() got multiple values for keyword argument '%U'", func_name, kw_name);
#else
"%s() got multiple values for keyword argument '%s'", func_name,
PyString_AsString(kw_name));
#endif
}
/* ParseKeywords */
static int __Pyx_ParseOptionalKeywords(
PyObject *kwds,
PyObject **argnames[],
PyObject *kwds2,
PyObject *values[],
Py_ssize_t num_pos_args,
const char* function_name)
{
PyObject *key = 0, *value = 0;
Py_ssize_t pos = 0;
PyObject*** name;
PyObject*** first_kw_arg = argnames + num_pos_args;
while (PyDict_Next(kwds, &pos, &key, &value)) {
name = first_kw_arg;
while (*name && (**name != key)) name++;
if (*name) {
values[name-argnames] = value;
continue;
}
name = first_kw_arg;
#if PY_MAJOR_VERSION < 3
if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {
while (*name) {
if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
&& _PyString_Eq(**name, key)) {
values[name-argnames] = value;
break;
}
name++;
}
if (*name) continue;
else {
PyObject*** argname = argnames;
while (argname != first_kw_arg) {
if ((**argname == key) || (
(CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
&& _PyString_Eq(**argname, key))) {
goto arg_passed_twice;
}
argname++;
}
}
} else
#endif
if (likely(PyUnicode_Check(key))) {
while (*name) {
int cmp = (**name == key) ? 0 :
#if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
(PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
#endif
PyUnicode_Compare(**name, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
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
(PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
#endif
PyUnicode_Compare(**argname, key);
if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
if (cmp == 0) goto arg_passed_twice;
argname++;
}
}
} else
goto invalid_keyword_type;
if (kwds2) {
if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
} else {
goto invalid_keyword;
}
}
return 0;
arg_passed_twice:
__Pyx_RaiseDoubleKeywordsError(function_name, key);
goto bad;
invalid_keyword_type:
PyErr_Format(PyExc_TypeError,
"%.200s() keywords must be strings", function_name);
goto bad;
invalid_keyword:
PyErr_Format(PyExc_TypeError,
#if PY_MAJOR_VERSION < 3
"%.200s() got an unexpected keyword argument '%.200s'",
function_name, PyString_AsString(key));
#else
"%s() got an unexpected keyword argument '%U'",
function_name, key);
#endif
bad:
return -1;
}
/* MemviewSliceInit */
static int
__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,
int ndim,
__Pyx_memviewslice *memviewslice,
int memview_is_new_reference)
{
__Pyx_RefNannyDeclarations
int i, retval=-1;
Py_buffer *buf = &memview->view;
__Pyx_RefNannySetupContext("init_memviewslice", 0);
if (memviewslice->memview || memviewslice->data) {
PyErr_SetString(PyExc_ValueError,
"memviewslice is already initialized!");
goto fail;
}
if (buf->strides) {
for (i = 0; i < ndim; i++) {
memviewslice->strides[i] = buf->strides[i];
}
} else {
Py_ssize_t stride = buf->itemsize;
for (i = ndim - 1; i >= 0; i--) {
memviewslice->strides[i] = stride;
stride *= buf->shape[i];
}
}
for (i = 0; i < ndim; i++) {
memviewslice->shape[i] = buf->shape[i];
if (buf->suboffsets) {
memviewslice->suboffsets[i] = buf->suboffsets[i];
} else {
memviewslice->suboffsets[i] = -1;
}
}
memviewslice->memview = memview;
memviewslice->data = (char *)buf->buf;
if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {
Py_INCREF(memview);
}
retval = 0;
goto no_fail;
fail:
memviewslice->memview = 0;
memviewslice->data = 0;
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
#ifndef Py_NO_RETURN
#define Py_NO_RETURN
#endif
static void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN {
va_list vargs;
char msg[200];
#ifdef HAVE_STDARG_PROTOTYPES
va_start(vargs, fmt);
#else
va_start(vargs);
#endif
vsnprintf(msg, 200, fmt, vargs);
va_end(vargs);
Py_FatalError(msg);
}
static CYTHON_INLINE int
__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
PyThread_type_lock lock)
{
int result;
PyThread_acquire_lock(lock, 1);
result = (*acquisition_count)++;
PyThread_release_lock(lock);
return result;
}
static CYTHON_INLINE int
__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count,
PyThread_type_lock lock)
{
int result;
PyThread_acquire_lock(lock, 1);
result = (*acquisition_count)--;
PyThread_release_lock(lock);
return result;
}
static CYTHON_INLINE void
__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno)
{
int first_time;
struct __pyx_memoryview_obj *memview = memslice->memview;
if (!memview || (PyObject *) memview == Py_None)
return;
if (__pyx_get_slice_count(memview) < 0)
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
first_time = __pyx_add_acquisition_count(memview) == 0;
if (first_time) {
if (have_gil) {
Py_INCREF((PyObject *) memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_INCREF((PyObject *) memview);
PyGILState_Release(_gilstate);
}
}
}
static CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice,
int have_gil, int lineno) {
int last_time;
struct __pyx_memoryview_obj *memview = memslice->memview;
if (!memview ) {
return;
} else if ((PyObject *) memview == Py_None) {
memslice->memview = NULL;
return;
}
if (__pyx_get_slice_count(memview) <= 0)
__pyx_fatalerror("Acquisition count is %d (line %d)",
__pyx_get_slice_count(memview), lineno);
last_time = __pyx_sub_acquisition_count(memview) == 1;
memslice->data = NULL;
if (last_time) {
if (have_gil) {
Py_CLEAR(memslice->memview);
} else {
PyGILState_STATE _gilstate = PyGILState_Ensure();
Py_CLEAR(memslice->memview);
PyGILState_Release(_gilstate);
}
} else {
memslice->memview = NULL;
}
}
/* ArgTypeTest */
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)
{
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
else if (exact) {
#if PY_MAJOR_VERSION == 2
if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
#endif
}
else {
if (likely(__Pyx_TypeCheck(obj, type))) return 1;
}
PyErr_Format(PyExc_TypeError,
"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
name, type->tp_name, Py_TYPE(obj)->tp_name);
return 0;
}
/* PyObjectCall */
#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
/* 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
/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
PyObject *args, *result = NULL;
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyFunction_FastCall(function, args, 2);
}
#endif
#if CYTHON_FAST_PYCCALL
if (__Pyx_PyFastCFunction_Check(function)) {
PyObject *args[2] = {arg1, arg2};
return __Pyx_PyCFunction_FastCall(function, args, 2);
}
#endif
args = PyTuple_New(2);
if (unlikely(!args)) goto done;
Py_INCREF(arg1);
PyTuple_SET_ITEM(args, 0, arg1);
Py_INCREF(arg2);
PyTuple_SET_ITEM(args, 1, arg2);
Py_INCREF(function);
result = __Pyx_PyObject_Call(function, args, NULL);
Py_DECREF(args);
Py_DECREF(function);
done:
return result;
}
/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
PyObject *self, *result;
PyCFunction cfunc;
cfunc = PyCFunction_GET_FUNCTION(func);
self = PyCFunction_GET_SELF(func);
if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
return NULL;
result = cfunc(self, arg);
Py_LeaveRecursiveCall();
if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
}
return result;
}
#endif
/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_New(1);
if (unlikely(!args)) return NULL;
Py_INCREF(arg);
PyTuple_SET_ITEM(args, 0, arg);
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
if (PyFunction_Check(func)) {
return __Pyx_PyFunction_FastCall(func, &arg, 1);
}
#endif
if (likely(PyCFunction_Check(func))) {
if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
} else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
}
}
return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
PyObject *result;
PyObject *args = PyTuple_Pack(1, arg);
if (unlikely(!args)) return NULL;
result = __Pyx_PyObject_Call(func, args, NULL);
Py_DECREF(args);
return result;
}
#endif
/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
if (s1 == s2) {
return (equals == Py_EQ);
} else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
const char *ps1, *ps2;
Py_ssize_t length = PyBytes_GET_SIZE(s1);
if (length != PyBytes_GET_SIZE(s2))
return (equals == Py_NE);
ps1 = PyBytes_AS_STRING(s1);
ps2 = PyBytes_AS_STRING(s2);
if (ps1[0] != ps2[0]) {
return (equals == Py_NE);
} else if (length == 1) {
return (equals == Py_EQ);
} else {
int result;
#if CYTHON_USE_UNICODE_INTERNALS
Py_hash_t hash1, hash2;
hash1 = ((PyBytesObject*)s1)->ob_shash;
hash2 = ((PyBytesObject*)s2)->ob_shash;
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
return (equals == Py_NE);
}
#endif
result = memcmp(ps1, ps2, (size_t)length);
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
return (equals == Py_NE);
} else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
return (equals == Py_NE);
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
#endif
}
/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
PyObject* owned_ref = NULL;
#endif
int s1_is_unicode, s2_is_unicode;
if (s1 == s2) {
goto return_eq;
}
s1_is_unicode = PyUnicode_CheckExact(s1);
s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
owned_ref = PyUnicode_FromObject(s2);
if (unlikely(!owned_ref))
return -1;
s2 = owned_ref;
s2_is_unicode = 1;
} else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
owned_ref = PyUnicode_FromObject(s1);
if (unlikely(!owned_ref))
return -1;
s1 = owned_ref;
s1_is_unicode = 1;
} else if (((!s2_is_unicode) & (!s1_is_unicode))) {
return __Pyx_PyBytes_Equals(s1, s2, equals);
}
#endif
if (s1_is_unicode & s2_is_unicode) {
Py_ssize_t length;
int kind;
void *data1, *data2;
if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
return -1;
length = __Pyx_PyUnicode_GET_LENGTH(s1);
if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
goto return_ne;
}
#if CYTHON_USE_UNICODE_INTERNALS
{
Py_hash_t hash1, hash2;
#if CYTHON_PEP393_ENABLED
hash1 = ((PyASCIIObject*)s1)->hash;
hash2 = ((PyASCIIObject*)s2)->hash;
#else
hash1 = ((PyUnicodeObject*)s1)->hash;
hash2 = ((PyUnicodeObject*)s2)->hash;
#endif
if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
goto return_ne;
}
}
#endif
kind = __Pyx_PyUnicode_KIND(s1);
if (kind != __Pyx_PyUnicode_KIND(s2)) {
goto return_ne;
}
data1 = __Pyx_PyUnicode_DATA(s1);
data2 = __Pyx_PyUnicode_DATA(s2);
if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
goto return_ne;
} else if (length == 1) {
goto return_eq;
} else {
int result = memcmp(data1, data2, (size_t)(length * kind));
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ) ? (result == 0) : (result != 0);
}
} else if ((s1 == Py_None) & s2_is_unicode) {
goto return_ne;
} else if ((s2 == Py_None) & s1_is_unicode) {
goto return_ne;
} else {
int result;
PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
if (!py_result)
return -1;
result = __Pyx_PyObject_IsTrue(py_result);
Py_DECREF(py_result);
return result;
}
return_eq:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_EQ);
return_ne:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(owned_ref);
#endif
return (equals == Py_NE);
#endif
}
/* GetAttr */
static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {
#if CYTHON_USE_TYPE_SLOTS
#if PY_MAJOR_VERSION >= 3
if (likely(PyUnicode_Check(n)))
#else
if (likely(PyString_Check(n)))
#endif
return __Pyx_PyObject_GetAttrStr(o, n);
#endif
return PyObject_GetAttr(o, n);
}
/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
PyObject *r;
if (!j) return NULL;
r = PyObject_GetItem(o, j);
Py_DECREF(j);
return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyList_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
PyObject *r = PyList_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
Py_ssize_t wrapped_i = i;
if (wraparound & unlikely(i < 0)) {
wrapped_i += PyTuple_GET_SIZE(o);
}
if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
Py_INCREF(r);
return r;
}
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
CYTHON_NCP_UNUSED int wraparound,
CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
if (is_list || PyList_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
PyObject *r = PyList_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
}
else if (PyTuple_CheckExact(o)) {
Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
PyObject *r = PyTuple_GET_ITEM(o, n);
Py_INCREF(r);
return r;
}
} else {
PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
if (likely(m && m->sq_item)) {
if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
Py_ssize_t l = m->sq_length(o);
if (likely(l >= 0)) {
i += l;
} else {
if (!PyErr_ExceptionMatches(PyExc_OverflowError))
return NULL;
PyErr_Clear();
}
}
return m->sq_item(o, i);
}
}
#else
if (is_list || PySequence_Check(o)) {
return PySequence_GetItem(o, i);
}
#endif
return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}
/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
PyObject *runerr;
Py_ssize_t key_value;
PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
if (unlikely(!(m && m->sq_item))) {
PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
return NULL;
}
key_value = __Pyx_PyIndex_AsSsize_t(index);
if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
}
if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
PyErr_Clear();
PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
}
return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
if (likely(m && m->mp_subscript)) {
return m->mp_subscript(obj, key);
}
return __Pyx_PyObject_GetIndex(obj, key);
}
#endif
/* decode_c_string */
static CYTHON_INLINE PyObject* __Pyx_decode_c_string(
const char* cstring, Py_ssize_t start, Py_ssize_t stop,
const char* encoding, const char* errors,
PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {
Py_ssize_t length;
if (unlikely((start < 0) | (stop < 0))) {
size_t slen = strlen(cstring);
if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {
PyErr_SetString(PyExc_OverflowError,
"c-string too long to convert to Python");
return NULL;
}
length = (Py_ssize_t) slen;
if (start < 0) {
start += length;
if (start < 0)
start = 0;
}
if (stop < 0)
stop += length;
}
length = stop - start;
if (unlikely(length <= 0))
return PyUnicode_FromUnicode(NULL, 0);
cstring += start;
if (decode_func) {
return decode_func(cstring, length, errors);
} else {
return PyUnicode_Decode(cstring, length, encoding, errors);
}
}
/* PyErrExceptionMatches */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
PyObject *exc_type = tstate->curexc_type;
if (exc_type == err) return 1;
if (unlikely(!exc_type)) return 0;
if (unlikely(PyTuple_Check(err)))
return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif
/* GetAttr3 */
static PyObject *__Pyx_GetAttr3Default(PyObject *d) {
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))
return NULL;
__Pyx_PyErr_Clear();
Py_INCREF(d);
return d;
}
static CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {
PyObject *r = __Pyx_GetAttr(o, n);
return (likely(r)) ? r : __Pyx_GetAttr3Default(d);
}
/* PyDictVersioning */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
PyObject **dictptr = NULL;
Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
if (offset) {
#if CYTHON_COMPILING_IN_CPYTHON
dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
#else
dictptr = _PyObject_GetDictPtr(obj);
#endif
}
return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
}
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
PyObject *dict = Py_TYPE(obj)->tp_dict;
if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
return 0;
return obj_dict_version == __Pyx_get_object_dict_version(obj);
}
#endif
/* GetModuleGlobalName */
#if CYTHON_USE_DICT_VERSIONS
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
#else
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
#endif
{
PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
} else if (unlikely(PyErr_Occurred())) {
return NULL;
}
#else
result = PyDict_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
#endif
#else
result = PyObject_GetItem(__pyx_d, name);
__PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
if (likely(result)) {
return __Pyx_NewRef(result);
}
PyErr_Clear();
#endif
return __Pyx_GetBuiltinName(name);
}
/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
PyErr_Format(PyExc_ValueError,
"too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}
/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
PyErr_Format(PyExc_ValueError,
"need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
index, (index == 1) ? "" : "s");
}
/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}
/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
if (unlikely(!type)) {
PyErr_SetString(PyExc_SystemError, "Missing type object");
return 0;
}
if (likely(__Pyx_TypeCheck(obj, type)))
return 1;
PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
Py_TYPE(obj)->tp_name, type->tp_name);
return 0;
}
/* GetTopmostException */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem *
__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
{
_PyErr_StackItem *exc_info = tstate->exc_info;
while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
exc_info->previous_item != NULL)
{
exc_info = exc_info->previous_item;
}
return exc_info;
}
#endif
/* SaveResetException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
*type = exc_info->exc_type;
*value = exc_info->exc_value;
*tb = exc_info->exc_traceback;
#else
*type = tstate->exc_type;
*value = tstate->exc_value;
*tb = tstate->exc_traceback;
#endif
Py_XINCREF(*type);
Py_XINCREF(*value);
Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = type;
exc_info->exc_value = value;
exc_info->exc_traceback = tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = type;
tstate->exc_value = value;
tstate->exc_traceback = tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
}
#endif
/* GetException */
#if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)
#endif
{
PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
PyObject *tmp_type, *tmp_value, *tmp_tb;
local_type = tstate->curexc_type;
local_value = tstate->curexc_value;
local_tb = tstate->curexc_traceback;
tstate->curexc_type = 0;
tstate->curexc_value = 0;
tstate->curexc_traceback = 0;
#else
PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
if (unlikely(tstate->curexc_type))
#else
if (unlikely(PyErr_Occurred()))
#endif
goto bad;
#if PY_MAJOR_VERSION >= 3
if (local_tb) {
if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
goto bad;
}
#endif
Py_XINCREF(local_tb);
Py_XINCREF(local_type);
Py_XINCREF(local_value);
*type = local_type;
*value = local_value;
*tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
#if CYTHON_USE_EXC_INFO_STACK
{
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = local_type;
exc_info->exc_value = local_value;
exc_info->exc_traceback = local_tb;
}
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = local_type;
tstate->exc_value = local_value;
tstate->exc_traceback = local_tb;
#endif
Py_XDECREF(tmp_type);
Py_XDECREF(tmp_value);
Py_XDECREF(tmp_tb);
#else
PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
return 0;
bad:
*type = 0;
*value = 0;
*tb = 0;
Py_XDECREF(local_type);
Py_XDECREF(local_value);
Py_XDECREF(local_tb);
return -1;
}
/* SwapException */
#if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
#if CYTHON_USE_EXC_INFO_STACK
_PyErr_StackItem *exc_info = tstate->exc_info;
tmp_type = exc_info->exc_type;
tmp_value = exc_info->exc_value;
tmp_tb = exc_info->exc_traceback;
exc_info->exc_type = *type;
exc_info->exc_value = *value;
exc_info->exc_traceback = *tb;
#else
tmp_type = tstate->exc_type;
tmp_value = tstate->exc_value;
tmp_tb = tstate->exc_traceback;
tstate->exc_type = *type;
tstate->exc_value = *value;
tstate->exc_traceback = *tb;
#endif
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
PyObject *tmp_type, *tmp_value, *tmp_tb;
PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
PyErr_SetExcInfo(*type, *value, *tb);
*type = tmp_type;
*value = tmp_value;
*tb = tmp_tb;
}
#endif
/* Import */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
PyObject *empty_list = 0;
PyObject *module = 0;
PyObject *global_dict = 0;
PyObject *empty_dict = 0;
PyObject *list;
#if PY_MAJOR_VERSION < 3
PyObject *py_import;
py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
if (!py_import)
goto bad;
#endif
if (from_list)
list = from_list;
else {
empty_list = PyList_New(0);
if (!empty_list)
goto bad;
list = empty_list;
}
global_dict = PyModule_GetDict(__pyx_m);
if (!global_dict)
goto bad;
empty_dict = PyDict_New();
if (!empty_dict)
goto bad;
{
#if PY_MAJOR_VERSION >= 3
if (level == -1) {
if (strchr(__Pyx_MODULE_NAME, '.')) {
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, 1);
if (!module) {
if (!PyErr_ExceptionMatches(PyExc_ImportError))
goto bad;
PyErr_Clear();
}
}
level = 0;
}
#endif
if (!module) {
#if PY_MAJOR_VERSION < 3
PyObject *py_level = PyInt_FromLong(level);
if (!py_level)
goto bad;
module = PyObject_CallFunctionObjArgs(py_import,
name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
Py_DECREF(py_level);
#else
module = PyImport_ImportModuleLevelObject(
name, global_dict, empty_dict, list, level);
#endif
}
}
bad:
#if PY_MAJOR_VERSION < 3
Py_XDECREF(py_import);
#endif
Py_XDECREF(empty_list);
Py_XDECREF(empty_dict);
return module;
}
/* FastTypeChecks */
#if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
while (a) {
a = a->tp_base;
if (a == b)
return 1;
}
return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
PyObject *mro;
if (a == b) return 1;
mro = a->tp_mro;
if (likely(mro)) {
Py_ssize_t i, n;
n = PyTuple_GET_SIZE(mro);
for (i = 0; i < n; i++) {
if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
return 1;
}
return 0;
}
return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
PyObject *exception, *value, *tb;
int res;
__Pyx_PyThreadState_declare
__Pyx_PyThreadState_assign
__Pyx_ErrFetch(&exception, &value, &tb);
res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
if (!res) {
res = PyObject_IsSubclass(err, exc_type2);
if (unlikely(res == -1)) {
PyErr_WriteUnraisable(err);
res = 0;
}
}
__Pyx_ErrRestore(exception, value, tb);
return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
if (!res) {
res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
}
return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
Py_ssize_t i, n;
assert(PyExceptionClass_Check(exc_type));
n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
for (i=0; i<n; i++) {
if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
}
#endif
for (i=0; i<n; i++) {
PyObject *t = PyTuple_GET_ITEM(tuple, i);
#if PY_MAJOR_VERSION < 3
if (likely(exc_type == t)) return 1;
#endif
if (likely(PyExceptionClass_Check(t))) {
if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
} else {
}
}
return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
if (likely(err == exc_type)) return 1;
if (likely(PyExceptionClass_Check(err))) {
if (likely(PyExceptionClass_Check(exc_type))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
} else if (likely(PyTuple_Check(exc_type))) {
return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
} else {
}
}
return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
assert(PyExceptionClass_Check(exc_type1));
assert(PyExceptionClass_Check(exc_type2));
if (likely(err == exc_type1 || err == exc_type2)) return 1;
if (likely(PyExceptionClass_Check(err))) {
return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
}
return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif
/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
(void)inplace;
(void)zerodivision_check;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_CheckExact(op1))) {
const long b = intval;
long x;
long a = PyInt_AS_LONG(op1);
x = (long)((unsigned long)a + b);
if (likely((x^a) >= 0 || (x^b) >= 0))
return PyInt_FromLong(x);
return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
#endif
#if CYTHON_USE_PYLONG_INTERNALS
if (likely(PyLong_CheckExact(op1))) {
const long b = intval;
long a, x;
#ifdef HAVE_LONG_LONG
const PY_LONG_LONG llb = intval;
PY_LONG_LONG lla, llx;
#endif
const digit* digits = ((PyLongObject*)op1)->ob_digit;
const Py_ssize_t size = Py_SIZE(op1);
if (likely(__Pyx_sst_abs(size) <= 1)) {
a = likely(size) ? digits[0] : 0;
if (size == -1) a = -a;
} else {
switch (size) {
case -2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 2:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 3:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case -4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
case 4:
if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
break;
#ifdef HAVE_LONG_LONG
} else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
goto long_long;
#endif
}
CYTHON_FALLTHROUGH;
default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
}
}
x = a + b;
return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
long_long:
llx = lla + llb;
return PyLong_FromLongLong(llx);
#endif
}
#endif
if (PyFloat_CheckExact(op1)) {
const long b = intval;
double a = PyFloat_AS_DOUBLE(op1);
double result;
PyFPE_START_PROTECT("add", return NULL)
result = ((double)a) + (double)b;
PyFPE_END_PROTECT(result)
return PyFloat_FromDouble(result);
}
return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif
/* None */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}
/* ImportFrom */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Format(PyExc_ImportError,
#if PY_MAJOR_VERSION < 3
"cannot import name %.230s", PyString_AS_STRING(name));
#else
"cannot import name %S", name);
#endif
}
return value;
}
/* HasAttr */
static CYTHON_INLINE int __Pyx_HasAttr(PyObject *o, PyObject *n) {
PyObject *r;
if (unlikely(!__Pyx_PyBaseString_Check(n))) {
PyErr_SetString(PyExc_TypeError,
"hasattr(): attribute name must be string");
return -1;
}
r = __Pyx_GetAttr(o, n);
if (unlikely(!r)) {
PyErr_Clear();
return 0;
} else {
Py_DECREF(r);
return 1;
}
}
/* PyObject_GenericGetAttrNoDict */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
"'%.50s' object has no attribute '%U'",
tp->tp_name, attr_name);
#else
"'%.50s' object has no attribute '%.400s'",
tp->tp_name, PyString_AS_STRING(attr_name));
#endif
return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
PyObject *descr;
PyTypeObject *tp = Py_TYPE(obj);
if (unlikely(!PyString_Check(attr_name))) {
return PyObject_GenericGetAttr(obj, attr_name);
}
assert(!tp->tp_dictoffset);
descr = _PyType_Lookup(tp, attr_name);
if (unlikely(!descr)) {
return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
}
Py_INCREF(descr);
#if PY_MAJOR_VERSION < 3
if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
#endif
{
descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
if (unlikely(f)) {
PyObject *res = f(descr, obj, (PyObject *)tp);
Py_DECREF(descr);
return res;
}
}
return descr;
}
#endif
/* PyObject_GenericGetAttr */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {
if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {
return PyObject_GenericGetAttr(obj, attr_name);
}
return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);
}
#endif
/* SetVTable */
static int __Pyx_SetVtable(PyObject *dict, void *vtable) {
#if PY_VERSION_HEX >= 0x02070000
PyObject *ob = PyCapsule_New(vtable, 0, 0);
#else
PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);
#endif
if (!ob)
goto bad;
if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)
goto bad;
Py_DECREF(ob);
return 0;
bad:
Py_XDECREF(ob);
return -1;
}
/* SetupReduce */
static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {
int ret;
PyObject *name_attr;
name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);
if (likely(name_attr)) {
ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);
} else {
ret = -1;
}
if (unlikely(ret < 0)) {
PyErr_Clear();
ret = 0;
}
Py_XDECREF(name_attr);
return ret;
}
static int __Pyx_setup_reduce(PyObject* type_obj) {
int ret = 0;
PyObject *object_reduce = NULL;
PyObject *object_reduce_ex = NULL;
PyObject *reduce = NULL;
PyObject *reduce_ex = NULL;
PyObject *reduce_cython = NULL;
PyObject *setstate = NULL;
PyObject *setstate_cython = NULL;
#if CYTHON_USE_PYTYPE_LOOKUP
if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto GOOD;
#else
if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto GOOD;
#endif
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#else
object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;
#endif
reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto BAD;
if (reduce_ex == object_reduce_ex) {
#if CYTHON_USE_PYTYPE_LOOKUP
object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#else
object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;
#endif
reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto BAD;
if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {
reduce_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_cython); if (unlikely(!reduce_cython)) goto BAD;
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto BAD;
setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);
if (!setstate) PyErr_Clear();
if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {
setstate_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate_cython); if (unlikely(!setstate_cython)) goto BAD;
ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto BAD;
ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto BAD;
}
PyType_Modified((PyTypeObject*)type_obj);
}
}
goto GOOD;
BAD:
if (!PyErr_Occurred())
PyErr_Format(PyExc_RuntimeError, "Unable to initialize pickling for %s", ((PyTypeObject*)type_obj)->tp_name);
ret = -1;
GOOD:
#if !CYTHON_USE_PYTYPE_LOOKUP
Py_XDECREF(object_reduce);
Py_XDECREF(object_reduce_ex);
#endif
Py_XDECREF(reduce);
Py_XDECREF(reduce_ex);
Py_XDECREF(reduce_cython);
Py_XDECREF(setstate);
Py_XDECREF(setstate_cython);
return ret;
}
/* CLineInTraceback */
#ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) {
PyObject *use_cline;
PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
PyObject **cython_runtime_dict;
#endif
if (unlikely(!__pyx_cython_runtime)) {
return c_line;
}
__Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
if (likely(cython_runtime_dict)) {
__PYX_PY_DICT_LOOKUP_IF_MODIFIED(
use_cline, *cython_runtime_dict,
__Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
} else
#endif
{
PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
if (use_cline_obj) {
use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
Py_DECREF(use_cline_obj);
} else {
PyErr_Clear();
use_cline = NULL;
}
}
if (!use_cline) {
c_line = 0;
PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
}
else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
c_line = 0;
}
__Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
return c_line;
}
#endif
/* CodeObjectCache */
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
int start = 0, mid = 0, end = count - 1;
if (end >= 0 && code_line > entries[end].code_line) {
return count;
}
while (start < end) {
mid = start + (end - start) / 2;
if (code_line < entries[mid].code_line) {
end = mid;
} else if (code_line > entries[mid].code_line) {
start = mid + 1;
} else {
return mid;
}
}
if (code_line <= entries[mid].code_line) {
return mid;
} else {
return mid + 1;
}
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
PyCodeObject* code_object;
int pos;
if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
return NULL;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
return NULL;
}
code_object = __pyx_code_cache.entries[pos].code_object;
Py_INCREF(code_object);
return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
int pos, i;
__Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
if (unlikely(!code_line)) {
return;
}
if (unlikely(!entries)) {
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
if (likely(entries)) {
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = 64;
__pyx_code_cache.count = 1;
entries[0].code_line = code_line;
entries[0].code_object = code_object;
Py_INCREF(code_object);
}
return;
}
pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
PyCodeObject* tmp = entries[pos].code_object;
entries[pos].code_object = code_object;
Py_DECREF(tmp);
return;
}
if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
int new_max = __pyx_code_cache.max_count + 64;
entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
__pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
if (unlikely(!entries)) {
return;
}
__pyx_code_cache.entries = entries;
__pyx_code_cache.max_count = new_max;
}
for (i=__pyx_code_cache.count; i>pos; i--) {
entries[i] = entries[i-1];
}
entries[pos].code_line = code_line;
entries[pos].code_object = code_object;
__pyx_code_cache.count++;
Py_INCREF(code_object);
}
/* AddTraceback */
#include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyObject *py_srcfile = 0;
PyObject *py_funcname = 0;
#if PY_MAJOR_VERSION < 3
py_srcfile = PyString_FromString(filename);
#else
py_srcfile = PyUnicode_FromString(filename);
#endif
if (!py_srcfile) goto bad;
if (c_line) {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#else
py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
#endif
}
else {
#if PY_MAJOR_VERSION < 3
py_funcname = PyString_FromString(funcname);
#else
py_funcname = PyUnicode_FromString(funcname);
#endif
}
if (!py_funcname) goto bad;
py_code = __Pyx_PyCode_New(
0,
0,
0,
0,
0,
__pyx_empty_bytes, /*PyObject *code,*/
__pyx_empty_tuple, /*PyObject *consts,*/
__pyx_empty_tuple, /*PyObject *names,*/
__pyx_empty_tuple, /*PyObject *varnames,*/
__pyx_empty_tuple, /*PyObject *freevars,*/
__pyx_empty_tuple, /*PyObject *cellvars,*/
py_srcfile, /*PyObject *filename,*/
py_funcname, /*PyObject *name,*/
py_line,
__pyx_empty_bytes /*PyObject *lnotab*/
);
Py_DECREF(py_srcfile);
Py_DECREF(py_funcname);
return py_code;
bad:
Py_XDECREF(py_srcfile);
Py_XDECREF(py_funcname);
return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
int py_line, const char *filename) {
PyCodeObject *py_code = 0;
PyFrameObject *py_frame = 0;
PyThreadState *tstate = __Pyx_PyThreadState_Current;
if (c_line) {
c_line = __Pyx_CLineForTraceback(tstate, c_line);
}
py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
if (!py_code) {
py_code = __Pyx_CreateCodeObjectForTraceback(
funcname, c_line, py_line, filename);
if (!py_code) goto bad;
__pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
}
py_frame = PyFrame_New(
tstate, /*PyThreadState *tstate,*/
py_code, /*PyCodeObject *code,*/
__pyx_d, /*PyObject *globals,*/
0 /*PyObject *locals*/
);
if (!py_frame) goto bad;
__Pyx_PyFrame_SetLineNumber(py_frame, py_line);
PyTraceBack_Here(py_frame);
bad:
Py_XDECREF(py_code);
Py_XDECREF(py_frame);
}
#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);
if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);
PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
PyObject *obj = view->obj;
if (!obj) return;
if (PyObject_CheckBuffer(obj)) {
PyBuffer_Release(view);
return;
}
if ((0)) {}
view->obj = NULL;
Py_DECREF(obj);
}
#endif
/* MemviewSliceIsContig */
static int
__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)
{
int i, index, step, start;
Py_ssize_t itemsize = mvs.memview->view.itemsize;
if (order == 'F') {
step = 1;
start = 0;
} else {
step = -1;
start = ndim - 1;
}
for (i = 0; i < ndim; i++) {
index = start + step * i;
if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)
return 0;
itemsize *= mvs.shape[index];
}
return 1;
}
/* OverlappingSlices */
static void
__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,
void **out_start, void **out_end,
int ndim, size_t itemsize)
{
char *start, *end;
int i;
start = end = slice->data;
for (i = 0; i < ndim; i++) {
Py_ssize_t stride = slice->strides[i];
Py_ssize_t extent = slice->shape[i];
if (extent == 0) {
*out_start = *out_end = start;
return;
} else {
if (stride > 0)
end += stride * (extent - 1);
else
start += stride * (extent - 1);
}
}
*out_start = start;
*out_end = end + itemsize;
}
static int
__pyx_slices_overlap(__Pyx_memviewslice *slice1,
__Pyx_memviewslice *slice2,
int ndim, size_t itemsize)
{
void *start1, *end1, *start2, *end2;
__pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);
__pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);
return (start1 < end2) && (start2 < end1);
}
/* Capsule */
static CYTHON_INLINE PyObject *
__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)
{
PyObject *cobj;
#if PY_VERSION_HEX >= 0x02070000
cobj = PyCapsule_New(p, sig, NULL);
#else
cobj = PyCObject_FromVoidPtr(p, NULL);
#endif
return cobj;
}
/* IsLittleEndian */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
union {
uint32_t u32;
uint8_t u8[4];
} S;
S.u32 = 0x01020304;
return S.u8[0] == 4;
}
/* BufferFormatCheck */
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
__Pyx_BufFmt_StackElem* stack,
__Pyx_TypeInfo* type) {
stack[0].field = &ctx->root;
stack[0].parent_offset = 0;
ctx->root.type = type;
ctx->root.name = "buffer dtype";
ctx->root.offset = 0;
ctx->head = stack;
ctx->head->field = &ctx->root;
ctx->fmt_offset = 0;
ctx->head->parent_offset = 0;
ctx->new_packmode = '@';
ctx->enc_packmode = '@';
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->is_complex = 0;
ctx->is_valid_array = 0;
ctx->struct_alignment = 0;
while (type->typegroup == 'S') {
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = 0;
type = type->fields->type;
}
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
int count;
const char* t = *ts;
if (*t < '0' || *t > '9') {
return -1;
} else {
count = *t++ - '0';
while (*t >= '0' && *t <= '9') {
count *= 10;
count += *t++ - '0';
}
}
*ts = t;
return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
int number = __Pyx_BufFmt_ParseNumber(ts);
if (number == -1)
PyErr_Format(PyExc_ValueError,\
"Does not understand character buffer dtype format string ('%c')", **ts);
return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
PyErr_Format(PyExc_ValueError,
"Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
switch (ch) {
case '?': return "'bool'";
case 'c': return "'char'";
case 'b': return "'signed char'";
case 'B': return "'unsigned char'";
case 'h': return "'short'";
case 'H': return "'unsigned short'";
case 'i': return "'int'";
case 'I': return "'unsigned int'";
case 'l': return "'long'";
case 'L': return "'unsigned long'";
case 'q': return "'long long'";
case 'Q': return "'unsigned long long'";
case 'f': return (is_complex ? "'complex float'" : "'float'");
case 'd': return (is_complex ? "'complex double'" : "'double'");
case 'g': return (is_complex ? "'complex long double'" : "'long double'");
case 'T': return "a struct";
case 'O': return "Python object";
case 'P': return "a pointer";
case 's': case 'p': return "a string";
case 0: return "end";
default: return "unparseable format string";
}
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return 2;
case 'i': case 'I': case 'l': case 'L': return 4;
case 'q': case 'Q': return 8;
case 'f': return (is_complex ? 8 : 4);
case 'd': return (is_complex ? 16 : 8);
case 'g': {
PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
return 0;
}
case 'O': case 'P': return sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(short);
case 'i': case 'I': return sizeof(int);
case 'l': case 'L': return sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(float) * (is_complex ? 2 : 1);
case 'd': return sizeof(double) * (is_complex ? 2 : 1);
case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
case 'O': case 'P': return sizeof(void*);
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
/* These are for computing the padding at the end of the struct to align
on the first member of the struct. This will probably the same as above,
but we don't have any guarantees.
*/
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
switch (ch) {
case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
default:
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
switch (ch) {
case 'c':
return 'H';
case 'b': case 'h': case 'i':
case 'l': case 'q': case 's': case 'p':
return 'I';
case '?': case 'B': case 'H': case 'I': case 'L': case 'Q':
return 'U';
case 'f': case 'd': case 'g':
return (is_complex ? 'C' : 'R');
case 'O':
return 'O';
case 'P':
return 'P';
default: {
__Pyx_BufFmt_RaiseUnexpectedChar(ch);
return 0;
}
}
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
if (ctx->head == NULL || ctx->head->field == &ctx->root) {
const char* expected;
const char* quote;
if (ctx->head == NULL) {
expected = "end";
quote = "";
} else {
expected = ctx->head->field->type->name;
quote = "'";
}
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected %s%s%s but got %s",
quote, expected, quote,
__Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
} else {
__Pyx_StructField* field = ctx->head->field;
__Pyx_StructField* parent = (ctx->head - 1)->field;
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
parent->type->name, field->name);
}
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
char group;
size_t size, offset, arraysize = 1;
if (ctx->enc_type == 0) return 0;
if (ctx->head->field->type->arraysize[0]) {
int i, ndim = 0;
if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
ctx->is_valid_array = ctx->head->field->type->ndim == 1;
ndim = 1;
if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %zu",
ctx->head->field->type->arraysize[0], ctx->enc_count);
return -1;
}
}
if (!ctx->is_valid_array) {
PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
ctx->head->field->type->ndim, ndim);
return -1;
}
for (i = 0; i < ctx->head->field->type->ndim; i++) {
arraysize *= ctx->head->field->type->arraysize[i];
}
ctx->is_valid_array = 0;
ctx->enc_count = 1;
}
group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
do {
__Pyx_StructField* field = ctx->head->field;
__Pyx_TypeInfo* type = field->type;
if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
} else {
size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
}
if (ctx->enc_packmode == '@') {
size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
size_t align_mod_offset;
if (align_at == 0) return -1;
align_mod_offset = ctx->fmt_offset % align_at;
if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
if (ctx->struct_alignment == 0)
ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
ctx->is_complex);
}
if (type->size != size || type->typegroup != group) {
if (type->typegroup == 'C' && type->fields != NULL) {
size_t parent_offset = ctx->head->parent_offset + field->offset;
++ctx->head;
ctx->head->field = type->fields;
ctx->head->parent_offset = parent_offset;
continue;
}
if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
} else {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
}
offset = ctx->head->parent_offset + field->offset;
if (ctx->fmt_offset != offset) {
PyErr_Format(PyExc_ValueError,
"Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
(Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
return -1;
}
ctx->fmt_offset += size;
if (arraysize)
ctx->fmt_offset += (arraysize - 1) * size;
--ctx->enc_count;
while (1) {
if (field == &ctx->root) {
ctx->head = NULL;
if (ctx->enc_count != 0) {
__Pyx_BufFmt_RaiseExpected(ctx);
return -1;
}
break;
}
ctx->head->field = ++field;
if (field->type == NULL) {
--ctx->head;
field = ctx->head->field;
continue;
} else if (field->type->typegroup == 'S') {
size_t parent_offset = ctx->head->parent_offset + field->offset;
if (field->type->fields->type == NULL) continue;
field = field->type->fields;
++ctx->head;
ctx->head->field = field;
ctx->head->parent_offset = parent_offset;
break;
} else {
break;
}
}
} while (ctx->enc_count);
ctx->enc_type = 0;
ctx->is_complex = 0;
return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
const char *ts = *tsp;
int i = 0, number;
int ndim = ctx->head->field->type->ndim;
;
++ts;
if (ctx->new_count != 1) {
PyErr_SetString(PyExc_ValueError,
"Cannot handle repeated arrays in format string");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
while (*ts && *ts != ')') {
switch (*ts) {
case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue;
default: break;
}
number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
return PyErr_Format(PyExc_ValueError,
"Expected a dimension of size %zu, got %d",
ctx->head->field->type->arraysize[i], number);
if (*ts != ',' && *ts != ')')
return PyErr_Format(PyExc_ValueError,
"Expected a comma in format string, got '%c'", *ts);
if (*ts == ',') ts++;
i++;
}
if (i != ndim)
return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
ctx->head->field->type->ndim, i);
if (!*ts) {
PyErr_SetString(PyExc_ValueError,
"Unexpected end of format string, expected ')'");
return NULL;
}
ctx->is_valid_array = 1;
ctx->new_count = 1;
*tsp = ++ts;
return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
int got_Z = 0;
while (1) {
switch(*ts) {
case 0:
if (ctx->enc_type != 0 && ctx->head == NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
if (ctx->head != NULL) {
__Pyx_BufFmt_RaiseExpected(ctx);
return NULL;
}
return ts;
case ' ':
case '\r':
case '\n':
++ts;
break;
case '<':
if (!__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '>':
case '!':
if (__Pyx_Is_Little_Endian()) {
PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
return NULL;
}
ctx->new_packmode = '=';
++ts;
break;
case '=':
case '@':
case '^':
ctx->new_packmode = *ts++;
break;
case 'T':
{
const char* ts_after_sub;
size_t i, struct_count = ctx->new_count;
size_t struct_alignment = ctx->struct_alignment;
ctx->new_count = 1;
++ts;
if (*ts != '{') {
PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
return NULL;
}
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
ctx->enc_count = 0;
ctx->struct_alignment = 0;
++ts;
ts_after_sub = ts;
for (i = 0; i != struct_count; ++i) {
ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
if (!ts_after_sub) return NULL;
}
ts = ts_after_sub;
if (struct_alignment) ctx->struct_alignment = struct_alignment;
}
break;
case '}':
{
size_t alignment = ctx->struct_alignment;
++ts;
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_type = 0;
if (alignment && ctx->fmt_offset % alignment) {
ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
}
}
return ts;
case 'x':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->fmt_offset += ctx->new_count;
ctx->new_count = 1;
ctx->enc_count = 0;
ctx->enc_type = 0;
ctx->enc_packmode = ctx->new_packmode;
++ts;
break;
case 'Z':
got_Z = 1;
++ts;
if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
__Pyx_BufFmt_RaiseUnexpectedChar('Z');
return NULL;
}
CYTHON_FALLTHROUGH;
case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
case 'l': case 'L': case 'q': case 'Q':
case 'f': case 'd': case 'g':
case 'O': case 'p':
if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
ctx->enc_packmode == ctx->new_packmode) {
ctx->enc_count += ctx->new_count;
ctx->new_count = 1;
got_Z = 0;
++ts;
break;
}
CYTHON_FALLTHROUGH;
case 's':
if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
ctx->enc_count = ctx->new_count;
ctx->enc_packmode = ctx->new_packmode;
ctx->enc_type = *ts;
ctx->is_complex = got_Z;
++ts;
ctx->new_count = 1;
got_Z = 0;
break;
case ':':
++ts;
while(*ts != ':') ++ts;
++ts;
break;
case '(':
if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
break;
default:
{
int number = __Pyx_BufFmt_ExpectNumber(&ts);
if (number == -1) return NULL;
ctx->new_count = (size_t)number;
}
}
}
}
/* TypeInfoCompare */
static int
__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)
{
int i;
if (!a || !b)
return 0;
if (a == b)
return 1;
if (a->size != b->size || a->typegroup != b->typegroup ||
a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {
if (a->typegroup == 'H' || b->typegroup == 'H') {
return a->size == b->size;
} else {
return 0;
}
}
if (a->ndim) {
for (i = 0; i < a->ndim; i++)
if (a->arraysize[i] != b->arraysize[i])
return 0;
}
if (a->typegroup == 'S') {
if (a->flags != b->flags)
return 0;
if (a->fields || b->fields) {
if (!(a->fields && b->fields))
return 0;
for (i = 0; a->fields[i].type && b->fields[i].type; i++) {
__Pyx_StructField *field_a = a->fields + i;
__Pyx_StructField *field_b = b->fields + i;
if (field_a->offset != field_b->offset ||
!__pyx_typeinfo_cmp(field_a->type, field_b->type))
return 0;
}
return !a->fields[i].type && !b->fields[i].type;
}
}
return 1;
}
/* MemviewSliceValidateAndInit */
static int
__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)
{
if (buf->shape[dim] <= 1)
return 1;
if (buf->strides) {
if (spec & __Pyx_MEMVIEW_CONTIG) {
if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {
if (buf->strides[dim] != sizeof(void *)) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly contiguous "
"in dimension %d.", dim);
goto fail;
}
} else if (buf->strides[dim] != buf->itemsize) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_FOLLOW) {
Py_ssize_t stride = buf->strides[dim];
if (stride < 0)
stride = -stride;
if (stride < buf->itemsize) {
PyErr_SetString(PyExc_ValueError,
"Buffer and memoryview are not contiguous "
"in the same dimension.");
goto fail;
}
}
} else {
if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not contiguous in "
"dimension %d", dim);
goto fail;
} else if (spec & (__Pyx_MEMVIEW_PTR)) {
PyErr_Format(PyExc_ValueError,
"C-contiguous buffer is not indirect in "
"dimension %d", dim);
goto fail;
} else if (buf->suboffsets) {
PyErr_SetString(PyExc_ValueError,
"Buffer exposes suboffsets but no strides");
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)
{
if (spec & __Pyx_MEMVIEW_DIRECT) {
if (buf->suboffsets && buf->suboffsets[dim] >= 0) {
PyErr_Format(PyExc_ValueError,
"Buffer not compatible with direct access "
"in dimension %d.", dim);
goto fail;
}
}
if (spec & __Pyx_MEMVIEW_PTR) {
if (!buf->suboffsets || (buf->suboffsets[dim] < 0)) {
PyErr_Format(PyExc_ValueError,
"Buffer is not indirectly accessible "
"in dimension %d.", dim);
goto fail;
}
}
return 1;
fail:
return 0;
}
static int
__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)
{
int i;
if (c_or_f_flag & __Pyx_IS_F_CONTIG) {
Py_ssize_t stride = 1;
for (i = 0; i < ndim; i++) {
if (stride * buf->itemsize != buf->strides[i] &&
buf->shape[i] > 1)
{
PyErr_SetString(PyExc_ValueError,
"Buffer not fortran contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
} else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {
Py_ssize_t stride = 1;
for (i = ndim - 1; i >- 1; i--) {
if (stride * buf->itemsize != buf->strides[i] &&
buf->shape[i] > 1) {
PyErr_SetString(PyExc_ValueError,
"Buffer not C contiguous.");
goto fail;
}
stride = stride * buf->shape[i];
}
}
return 1;
fail:
return 0;
}
static int __Pyx_ValidateAndInit_memviewslice(
int *axes_specs,
int c_or_f_flag,
int buf_flags,
int ndim,
__Pyx_TypeInfo *dtype,
__Pyx_BufFmt_StackElem stack[],
__Pyx_memviewslice *memviewslice,
PyObject *original_obj)
{
struct __pyx_memoryview_obj *memview, *new_memview;
__Pyx_RefNannyDeclarations
Py_buffer *buf;
int i, spec = 0, retval = -1;
__Pyx_BufFmt_Context ctx;
int from_memoryview = __pyx_memoryview_check(original_obj);
__Pyx_RefNannySetupContext("ValidateAndInit_memviewslice", 0);
if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)
original_obj)->typeinfo)) {
memview = (struct __pyx_memoryview_obj *) original_obj;
new_memview = NULL;
} else {
memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
original_obj, buf_flags, 0, dtype);
new_memview = memview;
if (unlikely(!memview))
goto fail;
}
buf = &memview->view;
if (buf->ndim != ndim) {
PyErr_Format(PyExc_ValueError,
"Buffer has wrong number of dimensions (expected %d, got %d)",
ndim, buf->ndim);
goto fail;
}
if (new_memview) {
__Pyx_BufFmt_Init(&ctx, stack, dtype);
if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
}
if ((unsigned) buf->itemsize != dtype->size) {
PyErr_Format(PyExc_ValueError,
"Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "u byte%s) "
"does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "u byte%s)",
buf->itemsize,
(buf->itemsize > 1) ? "s" : "",
dtype->name,
dtype->size,
(dtype->size > 1) ? "s" : "");
goto fail;
}
for (i = 0; i < ndim; i++) {
spec = axes_specs[i];
if (!__pyx_check_strides(buf, i, ndim, spec))
goto fail;
if (!__pyx_check_suboffsets(buf, i, ndim, spec))
goto fail;
}
if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,
new_memview != NULL) == -1)) {
goto fail;
}
retval = 0;
goto no_fail;
fail:
Py_XDECREF(new_memview);
retval = -1;
no_fail:
__Pyx_RefNannyFinishContext();
return retval;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_d_dc_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_FOLLOW), (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 2,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_double(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_double, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* ObjectToMemviewSlice */
static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_dc_int(PyObject *obj, int writable_flag) {
__Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };
__Pyx_BufFmt_StackElem stack[1];
int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_CONTIG) };
int retcode;
if (obj == Py_None) {
result.memview = (struct __pyx_memoryview_obj *) Py_None;
return result;
}
retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, __Pyx_IS_C_CONTIG,
(PyBUF_C_CONTIGUOUS | PyBUF_FORMAT) | writable_flag, 1,
&__Pyx_TypeInfo_int, stack,
&result, obj);
if (unlikely(retcode == -1))
goto __pyx_fail;
return result;
__pyx_fail:
result.memview = NULL;
result.data = NULL;
return result;
}
/* CIntFromPyVerify */
#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
__PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
{\
func_type value = func_value;\
if (sizeof(target_type) < sizeof(func_type)) {\
if (unlikely(value != (func_type) (target_type) value)) {\
func_type zero = 0;\
if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
return (target_type) -1;\
if (is_unsigned && unlikely(value < zero))\
goto raise_neg_overflow;\
else\
goto raise_overflow;\
}\
}\
return (target_type) value;\
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(int) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(int) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(int) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(int),
little, !is_unsigned);
}
}
/* MemviewSliceCopyTemplate */
static __Pyx_memviewslice
__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,
const char *mode, int ndim,
size_t sizeof_dtype, int contig_flag,
int dtype_is_object)
{
__Pyx_RefNannyDeclarations
int i;
__Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };
struct __pyx_memoryview_obj *from_memview = from_mvs->memview;
Py_buffer *buf = &from_memview->view;
PyObject *shape_tuple = NULL;
PyObject *temp_int = NULL;
struct __pyx_array_obj *array_obj = NULL;
struct __pyx_memoryview_obj *memview_obj = NULL;
__Pyx_RefNannySetupContext("__pyx_memoryview_copy_new_contig", 0);
for (i = 0; i < ndim; i++) {
if (from_mvs->suboffsets[i] >= 0) {
PyErr_Format(PyExc_ValueError, "Cannot copy memoryview slice with "
"indirect dimensions (axis %d)", i);
goto fail;
}
}
shape_tuple = PyTuple_New(ndim);
if (unlikely(!shape_tuple)) {
goto fail;
}
__Pyx_GOTREF(shape_tuple);
for(i = 0; i < ndim; i++) {
temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);
if(unlikely(!temp_int)) {
goto fail;
} else {
PyTuple_SET_ITEM(shape_tuple, i, temp_int);
temp_int = NULL;
}
}
array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);
if (unlikely(!array_obj)) {
goto fail;
}
__Pyx_GOTREF(array_obj);
memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(
(PyObject *) array_obj, contig_flag,
dtype_is_object,
from_mvs->memview->typeinfo);
if (unlikely(!memview_obj))
goto fail;
if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))
goto fail;
if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,
dtype_is_object) < 0))
goto fail;
goto no_fail;
fail:
__Pyx_XDECREF(new_mvs.memview);
new_mvs.memview = NULL;
new_mvs.data = NULL;
no_fail:
__Pyx_XDECREF(shape_tuple);
__Pyx_XDECREF(temp_int);
__Pyx_XDECREF(array_obj);
__Pyx_RefNannyFinishContext();
return new_mvs;
}
/* CIntFromPy */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(int) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (int) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (int) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(int) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (int) 0;
case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])
case -2:
if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
}
}
break;
}
#endif
if (sizeof(int) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
int val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (int) -1;
}
} else {
int val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (int) -1;
val = __Pyx_PyInt_As_int(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to int");
return (int) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to int");
return (int) -1;
}
/* CIntFromPy */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(long) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (long) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (long) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(long) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (long) 0;
case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])
case -2:
if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
}
}
break;
}
#endif
if (sizeof(long) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
PyErr_SetString(PyExc_RuntimeError,
"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
long val;
PyObject *v = __Pyx_PyNumber_IntOrLong(x);
#if PY_MAJOR_VERSION < 3
if (likely(v) && !PyLong_Check(v)) {
PyObject *tmp = v;
v = PyNumber_Long(tmp);
Py_DECREF(tmp);
}
#endif
if (likely(v)) {
int one = 1; int is_little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&val;
int ret = _PyLong_AsByteArray((PyLongObject *)v,
bytes, sizeof(val),
is_little, !is_unsigned);
Py_DECREF(v);
if (likely(!ret))
return val;
}
#endif
return (long) -1;
}
} else {
long val;
PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
if (!tmp) return (long) -1;
val = __Pyx_PyInt_As_long(tmp);
Py_DECREF(tmp);
return val;
}
raise_overflow:
PyErr_SetString(PyExc_OverflowError,
"value too large to convert to long");
return (long) -1;
raise_neg_overflow:
PyErr_SetString(PyExc_OverflowError,
"can't convert negative value to long");
return (long) -1;
}
/* CIntToPy */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
const int is_unsigned = neg_one > const_zero;
if (is_unsigned) {
if (sizeof(long) < sizeof(long)) {
return PyInt_FromLong((long) value);
} else if (sizeof(long) <= sizeof(unsigned long)) {
return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
}
} else {
if (sizeof(long) <= sizeof(long)) {
return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
} else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
}
}
{
int one = 1; int little = (int)*(unsigned char *)&one;
unsigned char *bytes = (unsigned char *)&value;
return _PyLong_FromByteArray(bytes, sizeof(long),
little, !is_unsigned);
}
}
/* CIntFromPy */
static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {
const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0;
const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
if (likely(PyInt_Check(x))) {
if (sizeof(char) < sizeof(long)) {
__PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))
} else {
long val = PyInt_AS_LONG(x);
if (is_unsigned && unlikely(val < 0)) {
goto raise_neg_overflow;
}
return (char) val;
}
} else
#endif
if (likely(PyLong_Check(x))) {
if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {
return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {
return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {
return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));
}
}
break;
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON
if (unlikely(Py_SIZE(x) < 0)) {
goto raise_neg_overflow;
}
#else
{
int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
if (unlikely(result < 0))
return (char) -1;
if (unlikely(result == 1))
goto raise_neg_overflow;
}
#endif
if (sizeof(char) <= sizeof(unsigned long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
}
} else {
#if CYTHON_USE_PYLONG_INTERNALS
const digit* digits = ((PyLongObject*)x)->ob_digit;
switch (Py_SIZE(x)) {
case 0: return (char) 0;
case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))
case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])
case -2:
if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 2:
if (8 * sizeof(char) > 1 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -3:
if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 3:
if (8 * sizeof(char) > 2 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case -4:
if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
case 4:
if (8 * sizeof(char) > 3 * PyLong_SHIFT) {
if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
__PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
} else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {
return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));
}
}
break;
}
#endif
if (sizeof(char) <= sizeof(long)) {
__PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
} else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {
__PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
}
}
{
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
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 */
|
TreeSpanWorker.h | /*
* TreeSpanWorker.h
*
* Created on: Apr 21, 2020
* Author: wen
*/
#ifndef PREFIXTREESPAN_TREESPANWORKER_H_
#define PREFIXTREESPAN_TREESPANWORKER_H_
#include <strstream>
#include "../prefixtreespan/TreeSpanTask.h"
class TreeSpanWorker:public Worker<TreeSpanTask> {
public:
int trans_cnt; // to used for adding IDs to transactions when loading data
TreeSpanWorker(const char *infile, const char *outfolder = "outputs"): Worker(infile, outfolder), trans_cnt(0)
{}
//set map[label] = count
virtual int getNextTrans(vector<TransT>& transDB){
string line;
int item;
if(getline (fd, line)){
TransDB().resize(TransDB().size()+1);
Tree& tmp = TransDB().back();
tmp.tid = trans_cnt++;
istrstream istrs ((char *)line.c_str());
istrs >> item;
istrs >> item;
istrs >> item;
while (istrs >> item) tmp.hcodes.push_back (item);
tmp.hcodes.push_back (-1);
tmp.compute_scope();
return 1;
}
return 0;
}
virtual void setRoot(stack<TreeSpanTask*>& task_queue){
ChildrenT children;
if(TransDB().size() <= tauDB_omp)
{
for (int i=0; i<TransDB().size(); i++) {
Tree& tree = TransDB()[i];
for (unsigned int j = 0; j < tree.hcodes.size(); j++) {
if(tree.hcodes[j] != -1){
children[Element(tree.hcodes[j], -1)].push(i, j, NULL);
}
}
}
}
else
{
vector<ChildrenT> childrenOfThread(THREADS);
// parallel-for, set the array of childrenOfThread
#pragma omp parallel for schedule(dynamic, CHUNK) num_threads(THREADS)
for (int i=0; i<TransDB().size(); i++) {
int thread_id = omp_get_thread_num();
ChildrenT& child_list = childrenOfThread[thread_id];
//---------
Tree& tree = TransDB()[i];
for (unsigned int j = 0; j < tree.hcodes.size(); j++) {
if(tree.hcodes[j] != -1){
child_list[Element(tree.hcodes[j], -1)].push(i, j, NULL);
}
}
}
// merge childrenOfThread elements into children
for(int i = 0; i < THREADS; i++){
ChildrenT& children_i = childrenOfThread[i];
for(ChildrenT::iterator it = children_i.begin(); it!= children_i.end(); it++){
const Element& e = it->first;
treePDB& pdb_i = it->second;
treePDB& pdb = children[e];
pdb.insert(pdb.end(), pdb_i.begin(), pdb_i.end());
pdb_i.clear(); // to release memory space timely
}
children_i.clear(); // to release memory space timely
}
}
//delete child patterns with PDBs not big enough
set<int> frequent_labels;
for (ChildrenT::iterator it = children.begin(); it != children.end();)
{
if (it->second.support() < minsup) {
ChildrenT::iterator tmp = it;
++tmp;
children.erase(it);
it = tmp;
} else {
frequent_labels.insert(it->first.label);
TreeSpanTask *t = new TreeSpanTask;
t->pat.pattern_tree.hcodes.push_back(it->first.label);
t->pat.pattern_tree.hcodes.push_back(-1);
t->pat.pattern_tree.compute_scope();
t->pat.projDB.swap(it->second);
task_queue.push(t);
++it;
}
}
for (int i=0; i<TransDB().size(); i++) {
Tree& tree = TransDB()[i];
for(int j = 0; j<tree.hcodes.size(); j++){
if(frequent_labels.find(tree.hcodes[j]) == frequent_labels.end()){
tree.hcodes[j] = -3; //-3 means infrequent label
}
}
}
}
};
#endif /* PREFIXTREESPAN_TREESPANWORKER_H_ */
|
MKL_flops_32_omp.c | #include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <string.h>
#include <time.h>
#include <omp.h>
#include "gene_bruit_rayleigh_scalaire.c"
#ifdef MKL_LIB
#include "mkl.h"
#include "mkl_dfti.h"
#endif
int main(int argc, char** argv) {
int NFFT,NPOINTS,NTOT;
NTOT=67108864;
printf("-*/*-*/- Programme MKL/FFTw simple precision -*/*-*/-\n");
FILE *fichier1;
fichier1=fopen("../results/MKL_32_GFLOPS.dat","w");
for (NPOINTS=2 ; NPOINTS<262144+1 ; NPOINTS=2*NPOINTS)
{
NFFT=NTOT/NPOINTS;
struct timespec tpdeb, tpfin, tpcour;
clockid_t clock_id = CLOCK_REALTIME;
int status2;
float dureeloc;
float dureetot = 0.0;
float mflops;
float param;
float *scalar_real, *scalar_imag;
int i, j, k;
param = 20.0;
float f_num = 30000;
float f_0 = f_num / 4.0;
#ifdef MKL_LIB
MKL_LONG status = 0;
DFTI_DESCRIPTOR_HANDLE hand [8];
MKL_Complex8 * data[8];
MKL_Complex8 * dataCour = NULL;
memset(hand, 0, 8 * sizeof (DFTI_DESCRIPTOR_HANDLE));
memset(data, 0, 8 * sizeof (MKL_Complex8));
#endif
scalar_real = (float *) calloc(NPOINTS, sizeof (float));
scalar_imag = (float *) calloc(NPOINTS, sizeof (float));
//FILE *fichier1,*fichier2;
//fichier1=fopen("/home/jfd/PROGRAMMES/FFT/scalar_real.dat","w");
//fichier2=fopen("/home/jfd/PROGRAMMES/FFT/scalar_imag.dat","w");
#ifndef MKL_LIB
/*----------- Declaration talbeaux FFT -----------------*/
// CPU #1
fftwf_complex *data, *fft_result, *data2, *fft_result2, *data3, *fft_result3, *data4, *fft_result4;
fftwf_plan plan_forward, plan_forward2, plan_forward3, plan_forward4;
data = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
fft_result = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
data2 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
fft_result2 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
data3 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
fft_result3 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
data4 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
fft_result4 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
plan_forward = fftwf_plan_dft_1d(NPOINTS, data, fft_result, FFTW_FORWARD, FFTW_ESTIMATE);
plan_forward2 = fftwf_plan_dft_1d(NPOINTS, data2, fft_result2, FFTW_FORWARD, FFTW_ESTIMATE);
plan_forward3 = fftwf_plan_dft_1d(NPOINTS, data3, fft_result3, FFTW_FORWARD, FFTW_ESTIMATE);
plan_forward4 = fftwf_plan_dft_1d(NPOINTS, data4, fft_result4, FFTW_FORWARD, FFTW_ESTIMATE);
// CPU #2
fftwf_complex *data5, *fft_result5, *data6, *fft_result6, *data7, *fft_result7, *data8, *fft_result8;
fftwf_plan plan_forward5, plan_forward6, plan_forward7, plan_forward8;
data5 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
fft_result5 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
data6 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
fft_result6 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
data7 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
fft_result7 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
data8 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
fft_result8 = (fftwf_complex*) fftwf_malloc(sizeof (fftwf_complex) * NPOINTS);
plan_forward5 = fftwf_plan_dft_1d(NPOINTS, data5, fft_result5, FFTW_FORWARD, FFTW_ESTIMATE);
plan_forward6 = fftwf_plan_dft_1d(NPOINTS, data6, fft_result6, FFTW_FORWARD, FFTW_ESTIMATE);
plan_forward7 = fftwf_plan_dft_1d(NPOINTS, data7, fft_result7, FFTW_FORWARD, FFTW_ESTIMATE);
plan_forward8 = fftwf_plan_dft_1d(NPOINTS, data8, fft_result8, FFTW_FORWARD, FFTW_ESTIMATE);
/*------------------------------------------------------*/
#else
for (i = 0; i < 8; i++) {
if ((data[i] = (MKL_Complex8 *) mkl_malloc(NPOINTS *
(size_t)sizeof (MKL_Complex8), 64)) == NULL) {
exit(0);
}
status = DftiCreateDescriptor(&hand[i],
DFTI_SINGLE,
DFTI_COMPLEX,
1,
(MKL_LONG) NPOINTS);
if (0 != status) {
printf(" ERROR, status = %li\n", status);
exit(0);
}
status = DftiCommitDescriptor(hand[i]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
#endif
// Debut boucle
for (i = 0; i < NPOINTS; i++) {
gene_bruit_rayleigh_scalaire(param, scalar_real + i, scalar_imag + i);
// scalar_real[i] = cos((2 * M_PI * i * f_0) / (f_num));
//scalar_imag[i] = 0;
}
for (j = 0; j < 8; j++) {
dataCour = data[j];
for (i = 0; i < NPOINTS; i++) {
dataCour[i].real = scalar_real[i];
dataCour[i].imag = scalar_imag[i];
}
#if 0
data2[i][0] = scalar_real[i];
data2[i][1] = scalar_imag[i];
data3[i][0] = scalar_real[i];
data3[i][1] = scalar_imag[i];
data4[i][0] = scalar_real[i];
data4[i][1] = scalar_imag[i];
data5[i][0] = scalar_real[i];
data5[i][1] = scalar_imag[i];
data6[i][0] = scalar_real[i];
data6[i][1] = scalar_imag[i];
data7[i][0] = scalar_real[i];
data7[i][1] = scalar_imag[i];
data8[i][0] = scalar_real[i];
data8[i][1] = scalar_imag[i];
#endif
}
/*
for (i = 0 ; i<NPOINTS ; i++)
{
fprintf(fichier1,"%20.15e\n",data[i][0]);
fprintf(fichier2,"%20.15e\n",data[i][1]);
}
*/
// Fin remplissage des talbeaux
// Debut du chrono
status2 = clock_gettime(clock_id, &tpdeb);
if (status2 < 0) fprintf(stderr, "Erreur clock_gettime (f:%s n:%d)\n", __FILE__, __LINE__);
if (status2 < 0) printf("Erreur CLOCKGETIME");
/*----------- Calcul de la FFT----------*/
#pragma omp parallel num_threads(NBCORES) default(shared) private(j)
#ifndef MKL_LIB
{
#pragma omp sections
{
// CPU #1
#pragma omp section
{
for (j = 0; j < NFFT / 8; j++) {
fftwf_execute(plan_forward);
}
}
#pragma omp section
{
for (j = NFFT / 8; j < NFFT / 4; j++) {
fftwf_execute(plan_forward2);
}
}
#pragma omp section
{
for (j = NFFT / 4; j < (3 * NFFT / 8); j++) {
fftwf_execute(plan_forward3);
}
}
#pragma omp section
{
for (j = (3 * NFFT / 8); j < NFFT / 2; j++) {
fftwf_execute(plan_forward4);
}
}
// CPU #1
#pragma omp section
{
for (j = NFFT / 2; j < (5 * NFFT / 8); j++) {
fftwf_execute(plan_forward5);
}
}
#pragma omp section
{
for (j = (5 * NFFT / 8); j < (3 * NFFT / 4); j++) {
fftwf_execute(plan_forward6);
}
}
#pragma omp section
{
for (j = (6 * NFFT / 8); j < (7 * NFFT / 8); j++) {
fftwf_execute(plan_forward7);
}
}
#pragma omp section
{
for (j = (7 * NFFT / 8); j < NFFT; j++) {
fftwf_execute(plan_forward8);
}
}
}
}
/*--------------------------------------*/
#else
#if 0
for (j = 0; j < NFFT; j++) {
status = DftiComputeForward(hand, data);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
#endif
#pragma omp sections
{
// CPU #1
#pragma omp section
{
int k = 0;
for (j = 0; j < NFFT / 8; j++) {
status = DftiComputeForward(hand[k], data[k]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
}
#pragma omp section
{
int k = 1;
for (j = NFFT / 8; j < NFFT / 4; j++) {
status = DftiComputeForward(hand[k], data[k]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
}
#pragma omp section
{
int k = 2;
for (j = NFFT / 4; j < (3 * NFFT / 8); j++) {
status = DftiComputeForward(hand[k], data[k]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
}
#pragma omp section
{
int k = 3;
for (j = (3 * NFFT / 8); j < NFFT / 2; j++) {
status = DftiComputeForward(hand[k], data[k]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
}
// CPU #1
#pragma omp section
{
int k = 4;
for (j = NFFT / 2; j < (5 * NFFT / 8); j++) {
status = DftiComputeForward(hand[k], data[k]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
}
#pragma omp section
{
int k = 5;
for (j = (5 * NFFT / 8); j < (3 * NFFT / 4); j++) {
status = DftiComputeForward(hand[k], data[k]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
}
#pragma omp section
{
int k = 6;
for (j = (6 * NFFT / 8); j < (7 * NFFT / 8); j++) {
status = DftiComputeForward(hand[k], data[k]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
}
#pragma omp section
{
int k = 7;
for (j = (7 * NFFT / 8); j < NFFT; j++) {
status = DftiComputeForward(hand[k], data[k]);
if (0 != status) {
printf(" %d ERROR, status = %li\n", __LINE__, status);
exit(0);
}
}
}
}
/*--------------------------------------*/
#endif
status2 = clock_gettime(clock_id, &tpfin);
if (status2 < 0) fprintf(stderr, "Erreur clock_gettime (f:%s n:%d)\n", __FILE__, __LINE__);
if (status2 < 0) printf("Erreur CLOCKGETTIME 2");
dureeloc = (float) (tpfin.tv_sec - tpdeb.tv_sec)+(float) (tpfin.tv_nsec - tpdeb.tv_nsec)*1.e-9;
dureetot = dureetot + dureeloc;
// Affichage du temps
printf("Temps pour %d FFT de %d points complexes = %f ms \n",NFFT,NPOINTS,(dureeloc*1000));
printf("Temps CPU sans transfert (timeur GPU) = %f s \n",dureeloc);
mflops=NFFT*(5*NPOINTS*(log10(NPOINTS)/log10(2)))/dureeloc;
printf("PUISSANCE DE CALCUL = %f Gflops \n",mflops/1e9);
fprintf(fichier1,"%20.15f\n",mflops/1e9);
printf("\n\n");
#ifndef MKL_LIB
fftwf_destroy_plan(plan_forward);
fftwf_destroy_plan(plan_forward2);
fftwf_destroy_plan(plan_forward3);
fftwf_destroy_plan(plan_forward4); // CPU1
fftwf_free(data);
fftwf_free(data2);
fftwf_free(data3);
fftwf_free(data4);
fftwf_free(fft_result);
fftwf_free(fft_result2);
fftwf_free(fft_result3);
fftwf_free(fft_result4);
fftwf_destroy_plan(plan_forward5);
fftwf_destroy_plan(plan_forward6);
fftwf_destroy_plan(plan_forward7);
fftwf_destroy_plan(plan_forward8); // CPU2
fftwf_free(data5);
fftwf_free(data6);
fftwf_free(data7);
fftwf_free(data8);
fftwf_free(fft_result5);
fftwf_free(fft_result6);
fftwf_free(fft_result7);
fftwf_free(fft_result8);
#else
for (j = 0; j < 8; j++) {
if (hand[j])
DftiFreeDescriptor(&hand[j]);
if (data[j])
mkl_free(data[j]);
}
#endif
free(scalar_real);
free(scalar_imag);
}
fclose(fichier1);
return 0;
}
|
GB_unop__frexpx_fp32_fp32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__frexpx_fp32_fp32)
// op(A') function: GB (_unop_tran__frexpx_fp32_fp32)
// C type: float
// A type: float
// cast: float cij = aij
// unaryop: cij = GB_frexpxf (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 = GB_frexpxf (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] = GB_frexpxf (z) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_FREXPX || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__frexpx_fp32_fp32)
(
float *Cx, // Cx and Ax may be aliased
const float *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
float aij = Ax [p] ;
float z = aij ;
Cx [p] = GB_frexpxf (z) ;
}
}
else
{
// bitmap case, no transpose; A->b already memcpy'd into C->b
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!Ab [p]) continue ;
float aij = Ax [p] ;
float z = aij ;
Cx [p] = GB_frexpxf (z) ;
}
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_tran__frexpx_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
|
GB_unaryop__identity_fp32_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__identity_fp32_uint16
// op(A') function: GB_tran__identity_fp32_uint16
// C type: float
// A type: uint16_t
// cast: float cij = (float) aij
// unaryop: cij = aij
#define GB_ATYPE \
uint16_t
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
uint16_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = x ;
// casting
#define GB_CASTING(z, x) \
float z = (float) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_IDENTITY || GxB_NO_FP32 || GxB_NO_UINT16)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__identity_fp32_uint16
(
float *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__identity_fp32_uint16
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
convolution_pack1to8_int8.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void convolution_pack1to8_int8_neon(const Mat& bottom_blob, Mat& top_blob, const Mat& weight_data_int8, int kernel_w, int kernel_h, int dilation_w, int dilation_h, int stride_w, int stride_h, const Option& opt)
{
int w = bottom_blob.w;
int channels = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int maxk = kernel_w * kernel_h;
// kernel offsets
std::vector<int> _space_ofs(maxk);
int* space_ofs = &_space_ofs[0];
{
int p1 = 0;
int p2 = 0;
int gap = w * dilation_h - kernel_w * dilation_w;
for (int i = 0; i < kernel_h; i++)
{
for (int j = 0; j < kernel_w; j++)
{
space_ofs[p1] = p2;
p1++;
p2 += dilation_w;
}
p2 += gap;
}
}
// num_output
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = 0; p < outch; p++)
{
int* outptr = top_blob.channel(p);
for (int i = 0; i < outh; i++)
{
for (int j = 0; j < outw; j++)
{
__m128i _sum0 = _mm_setzero_si128();
__m128i _sum1 = _mm_setzero_si128();
const signed char* kptr = weight_data_int8.channel(p);
// channels
for (int q = 0; q < channels; q++)
{
const Mat m = bottom_blob.channel(q);
const signed char* sptr = m.row<const signed char>(i * stride_h) + j * stride_w;
for (int k = 0; k < maxk; k++)
{
__m128i _val = _mm_set1_epi16((short)sptr[space_ofs[k]]);
// TODO use _mm_cvtepi8_epi16 on sse4.1
__m128i _w = _mm_loadl_epi64((const __m128i*)kptr);
_w = _mm_unpacklo_epi8(_w, _mm_cmpgt_epi8(_mm_setzero_si128(), _w));
__m128i _sl = _mm_mullo_epi16(_val, _w);
__m128i _sh = _mm_mulhi_epi16(_val, _w);
__m128i _s0 = _mm_unpacklo_epi16(_sl, _sh);
__m128i _s1 = _mm_unpackhi_epi16(_sl, _sh);
_sum0 = _mm_add_epi32(_sum0, _s0);
_sum1 = _mm_add_epi32(_sum1, _s1);
kptr += 8;
}
}
_mm_storeu_si128((__m128i*)(outptr + j * 8), _sum0);
_mm_storeu_si128((__m128i*)(outptr + j * 8 + 4), _sum1);
}
outptr += outw * 8;
}
}
}
|
GB_binop__min_uint64.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__min_uint64)
// A.*B function (eWiseMult): GB (_AemultB_08__min_uint64)
// A.*B function (eWiseMult): GB (_AemultB_02__min_uint64)
// A.*B function (eWiseMult): GB (_AemultB_04__min_uint64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__min_uint64)
// A*D function (colscale): GB (_AxD__min_uint64)
// D*A function (rowscale): GB (_DxB__min_uint64)
// C+=B function (dense accum): GB (_Cdense_accumB__min_uint64)
// C+=b function (dense accum): GB (_Cdense_accumb__min_uint64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__min_uint64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__min_uint64)
// C=scalar+B GB (_bind1st__min_uint64)
// C=scalar+B' GB (_bind1st_tran__min_uint64)
// C=A+scalar GB (_bind2nd__min_uint64)
// C=A'+scalar GB (_bind2nd_tran__min_uint64)
// C type: uint64_t
// A type: uint64_t
// A pattern? 0
// B type: uint64_t
// B pattern? 0
// BinaryOp: cij = GB_IMIN (aij, bij)
#define GB_ATYPE \
uint64_t
#define GB_BTYPE \
uint64_t
#define GB_CTYPE \
uint64_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
uint64_t aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
uint64_t bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
uint64_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = GB_IMIN (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_MIN || GxB_NO_UINT64 || GxB_NO_MIN_UINT64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__min_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__min_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__min_uint64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__min_uint64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type uint64_t
uint64_t bwork = (*((uint64_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__min_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t *restrict Cx = (uint64_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__min_uint64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t *restrict Cx = (uint64_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__min_uint64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
uint64_t alpha_scalar ;
uint64_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((uint64_t *) alpha_scalar_in)) ;
beta_scalar = (*((uint64_t *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__min_uint64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__min_uint64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__min_uint64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__min_uint64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__min_uint64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t *Cx = (uint64_t *) Cx_output ;
uint64_t x = (*((uint64_t *) x_input)) ;
uint64_t *Bx = (uint64_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
uint64_t bij = GBX (Bx, p, false) ;
Cx [p] = GB_IMIN (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__min_uint64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
uint64_t *Cx = (uint64_t *) Cx_output ;
uint64_t *Ax = (uint64_t *) Ax_input ;
uint64_t y = (*((uint64_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
uint64_t aij = GBX (Ax, p, false) ;
Cx [p] = GB_IMIN (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IMIN (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__min_uint64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
uint64_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t x = (*((const uint64_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
uint64_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
uint64_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = GB_IMIN (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__min_uint64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
uint64_t y = (*((const uint64_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
exact_cover_hybrid_tasks.c | /**
* Version Hybride : MPI + OpenMP avec tâches
*
* Quentin Deschamps, 2021
*/
#include <ctype.h>
#include <stdio.h>
#include <stdbool.h>
#include <string.h>
#include <stdlib.h>
#include <err.h>
#include <getopt.h>
#include <sys/time.h>
#include <mpi.h>
#include <omp.h>
/* Rang du processeur principal */
#define ROOT 0
double start = 0.0;
char *in_filename = NULL; // nom du fichier contenant la matrice
bool print_solutions = false; // affiche chaque solution
long long report_delta = 1e6; // affiche un rapport tous les ... noeuds
long long next_report; // prochain rapport affiché au noeud...
long long max_solutions = 0x7fffffffffffffff; // stop après ... solutions
struct instance_t {
int n_items;
int n_primary;
int n_options;
char **item_name; // potentiellement NULL, sinon de taille n_items
int *options; // l'option i contient les objets options[ptr[i]:ptr[i+1]]
int *ptr; // taille n_options + 1
};
struct sparse_array_t {
int len; // nombre d'éléments stockés
int capacity; // taille maximale
int *p; // contenu de l'ensemble = p[0:len]
int *q; // taille capacity (tout comme p)
};
struct context_t {
struct sparse_array_t *active_items; // objets actifs
struct sparse_array_t **active_options; // options actives contenant l'objet i
int *chosen_options; // options choisies à ce stade
int *child_num; // numéro du fils exploré
int *num_children; // nombre de fils à explorer
int level; // nombre d'options choisies
long long nodes; // nombre de noeuds explorés
long long solutions; // nombre de solutions trouvées
};
static const char DIGITS[62] = {'0', '1', '2', '3', '4', '5', '6', '7', '8', '9',
'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j',
'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't',
'u', 'v', 'w', 'x', 'y', 'z',
'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J',
'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T',
'U', 'V', 'W', 'X', 'Y', 'Z'};
double wtime()
{
struct timeval ts;
gettimeofday(&ts, NULL);
return (double) ts.tv_sec + ts.tv_usec / 1e6;
}
void usage(char **argv)
{
printf("%s --in FILENAME [OPTIONS]\n\n", argv[0]);
printf("Options:\n");
printf("--progress-report N display a message every N nodes (0 to disable)\n");
printf("--print-solutions display solutions when they are found\n");
printf("--stop-after N stop the search once N solutions are found\n");
exit(0);
}
bool item_is_primary(const struct instance_t *instance, int item)
{
return item < instance->n_primary;
}
void print_option(const struct instance_t *instance, int option)
{
if (instance->item_name == NULL)
errx(1, "tentative d'affichage sans noms d'objet");
for (int p = instance->ptr[option]; p < instance->ptr[option + 1]; p++) {
int item = instance->options[p];
printf("%s ", instance->item_name[item]);
}
printf("\n");
}
struct sparse_array_t * sparse_array_init(int n)
{
struct sparse_array_t *S = malloc(sizeof(*S));
if (S == NULL)
err(1, "impossible d'allouer un tableau creux");
S->len = 0;
S->capacity = n;
S->p = malloc(n * sizeof(int));
S->q = malloc(n * sizeof(int));
if (S->p == NULL || S->q == NULL)
err(1, "Impossible d'allouer p/q dans un tableau creux");
for (int i = 0; i < n; i++)
S->q[i] = n; // initialement vide
return S;
}
bool sparse_array_membership(const struct sparse_array_t *S, int x)
{
return (S->q[x] < S->len);
}
bool sparse_array_empty(const struct sparse_array_t *S)
{
return (S->len == 0);
}
void sparse_array_add(struct sparse_array_t *S, int x)
{
int i = S->len;
S->p[i] = x;
S->q[x] = i;
S->len = i + 1;
}
void sparse_array_remove(struct sparse_array_t *S, int x)
{
int j = S->q[x];
int n = S->len - 1;
// échange p[j] et p[n]
int y = S->p[n];
S->p[n] = x;
S->p[j] = y;
// met q à jour
S->q[x] = n;
S->q[y] = j;
S->len = n;
}
void sparse_array_unremove(struct sparse_array_t *S)
{
S->len++;
}
void sparse_array_unadd(struct sparse_array_t *S)
{
S->len--;
}
bool item_is_active(const struct context_t *ctx, int item)
{
return sparse_array_membership(ctx->active_items, item);
}
void solution_found(const struct instance_t *instance, struct context_t *ctx)
{
ctx->solutions++;
if (!print_solutions)
return;
printf("Trouvé une nouvelle solution au niveau %d après %lld noeuds\n",
ctx->level, ctx->nodes);
printf("Options : \n");
for (int i = 0; i < ctx->level; i++) {
int option = ctx->chosen_options[i];
printf("+ %d : ", option);
print_option(instance, option);
}
printf("\n");
printf("----------------------------------------------------\n");
}
void cover(const struct instance_t *instance, struct context_t *ctx, int item);
void choose_option(const struct instance_t *instance, struct context_t *ctx,
int option, int chosen_item)
{
ctx->chosen_options[ctx->level] = option;
ctx->level++;
for (int p = instance->ptr[option]; p < instance->ptr[option + 1]; p++) {
int item = instance->options[p];
if (item == chosen_item)
continue;
cover(instance, ctx, item);
}
}
void uncover(const struct instance_t *instance, struct context_t *ctx, int item);
void unchoose_option(const struct instance_t *instance, struct context_t *ctx,
int option, int chosen_item)
{
for (int p = instance->ptr[option + 1] - 1; p >= instance->ptr[option]; p--) {
int item = instance->options[p];
if (item == chosen_item)
continue;
uncover(instance, ctx, item);
}
ctx->level--;
}
int choose_next_item(struct context_t *ctx)
{
int best_item = -1;
int best_options = 0x7fffffff;
struct sparse_array_t *active_items = ctx->active_items;
for (int i = 0; i < active_items->len; i++) {
int item = active_items->p[i];
struct sparse_array_t *active_options = ctx->active_options[item];
int k = active_options->len;
if (k < best_options) {
best_item = item;
best_options = k;
}
}
return best_item;
}
void progress_report(const struct context_t *ctx)
{
double now = wtime();
printf("Exploré %lld noeuds, trouvé %lld solutions, temps écoulé %.1fs. ",
ctx->nodes, ctx->solutions, now - start);
int i = 0;
for (int k = 0; k < ctx->level; k++) {
if (i > 44)
break;
int n = ctx->child_num[k];
int m = ctx->num_children[k];
if (m == 1)
continue;
printf("%c%c ", (n < 62) ? DIGITS[n] : '*', (m < 62) ? DIGITS[m] : '*');
i++;
}
printf("\n"),
next_report += report_delta;
}
void deactivate(const struct instance_t *instance, struct context_t *ctx,
int option, int covered_item);
void cover(const struct instance_t *instance, struct context_t *ctx, int item)
{
if (item_is_primary(instance, item))
sparse_array_remove(ctx->active_items, item);
struct sparse_array_t *active_options = ctx->active_options[item];
for (int i = 0; i < active_options->len; i++) {
int option = active_options->p[i];
deactivate(instance, ctx, option, item);
}
}
void deactivate(const struct instance_t *instance, struct context_t *ctx,
int option, int covered_item)
{
for (int k = instance->ptr[option]; k < instance->ptr[option+1]; k++) {
int item = instance->options[k];
if (item == covered_item)
continue;
sparse_array_remove(ctx->active_options[item], option);
}
}
void reactivate(const struct instance_t *instance, struct context_t *ctx,
int option, int uncovered_item);
void uncover(const struct instance_t *instance, struct context_t *ctx, int item)
{
struct sparse_array_t *active_options = ctx->active_options[item];
for (int i = active_options->len - 1; i >= 0; i--) {
int option = active_options->p[i];
reactivate(instance, ctx, option, item);
}
if (item_is_primary(instance, item))
sparse_array_unremove(ctx->active_items);
}
void reactivate(const struct instance_t *instance, struct context_t *ctx,
int option, int uncovered_item)
{
for (int k = instance->ptr[option + 1] - 1; k >= instance->ptr[option]; k--) {
int item = instance->options[k];
if (item == uncovered_item)
continue;
sparse_array_unremove(ctx->active_options[item]);
}
}
struct instance_t * load_matrix(const char *filename)
{
struct instance_t *instance = malloc(sizeof(*instance));
if (instance == NULL)
err(1, "Impossible d'allouer l'instance");
FILE *in = fopen(filename, "r");
if (in == NULL)
err(1, "Impossible d'ouvrir %s en lecture", filename);
int n_it, n_op;
if (fscanf(in, "%d %d\n", &n_it, &n_op) != 2)
errx(1, "Erreur de lecture de la taille du problème\n");
if (n_it == 0 || n_op == 0)
errx(1, "Impossible d'avoir 0 objets ou 0 options");
instance->n_items = n_it;
instance->n_primary = 0;
instance->n_options = n_op;
instance->item_name = malloc(n_it * sizeof(char *));
instance->ptr = malloc((n_op + 1) * sizeof(int));
instance->options = malloc(n_it * n_op *sizeof(int)); // surallocation massive
if (instance->item_name == NULL || instance->ptr == NULL || instance->options == NULL)
err(1, "Impossible d'allouer la mémoire pour stocker la matrice");
enum state_t {START, ID, WHITESPACE, BAR, ENDLINE, ENDFILE};
enum state_t state = START;
char buffer[256];
int i = 0; // prochain octet disponible du buffer
int n = 0; // dernier octet disponible du buffer
char id[65];
id[64] = 0; // sentinelle à la fin, quoi qu'il arrive
int j = 0; // longueur de l'identifiant en cours de lecture
int current_item = 0;
while (state != ENDLINE) {
enum state_t prev_state = state;
if (i >= n) {
n = fread(buffer, 1, 256, in);
if (n == 0) {
if (feof(in)) {
state = ENDFILE;
}
if (ferror(in))
err(1, "erreur lors de la lecture de %s", in_filename);
}
i = 0;
}
if (state == ENDFILE) {
// don't examine buffer[i]
} else if (buffer[i] == '\n') {
state = ENDLINE;
} else if (buffer[i] == '|') {
state = BAR;
} else if (isspace(buffer[i])) {
state = WHITESPACE;
} else {
state = ID;
}
// traite le caractère lu
if (state == ID) {
if (j == 64)
errx(1, "nom d'objet trop long : %s", id);
id[j] = buffer[i];
j++;
}
if (prev_state == ID && state != ID) {
id[j] = '\0';
if (current_item == instance->n_items)
errx(1, "Objet excedentaire : %s", id);
for (int k = 0; k < current_item; k++)
if (strcmp(id, instance->item_name[k]) == 0)
errx(1, "Nom d'objets dupliqué : %s", id);
instance->item_name[current_item] = malloc(j+1);
strcpy(instance->item_name[current_item], id);
current_item++;
j = 0;
}
if (state == BAR)
instance->n_primary = current_item;
if (state == ENDFILE)
errx(1, "Fin de fichier prématurée");
// passe au prochain caractère
i++;
}
if (current_item != instance->n_items)
errx(1, "Incohérence : %d objets attendus mais seulement %d fournis\n",
instance->n_items, current_item);
if (instance->n_primary == 0)
instance->n_primary = instance->n_items;
int current_option = 0;
int p = 0; // pointeur courant dans instance->options
instance->ptr[0] = p;
bool has_primary = false;
while (state != ENDFILE) {
enum state_t prev_state = state;
if (i >= n) {
n = fread(buffer, 1, 256, in);
if (n == 0) {
if (feof(in)) {
state = ENDFILE;
}
if (ferror(in))
err(1, "erreur lors de la lecture de %s", in_filename);
}
i = 0;
}
if (state == ENDFILE) {
// don't examine buffer[i]
} else if (buffer[i] == '\n') {
state = ENDLINE;
} else if (buffer[i] == '|') {
state = BAR;
} else if (isspace(buffer[i])) {
state = WHITESPACE;
} else {
state = ID;
}
// traite le caractère lu
if (state == ID) {
if (j == 64)
errx(1, "nom d'objet trop long : %s", id);
id[j] = buffer[i];
j++;
}
if (prev_state == ID && state != ID) {
id[j] = '\0';
// identifie le numéro de l'objet en question
int item_number = -1;
for (int k = 0; k < instance->n_items; k++)
if (strcmp(id, instance->item_name[k]) == 0) {
item_number = k;
break;
}
if (item_number == -1)
errx(1, "Objet %s inconnu dans l'option #%d", id, current_option);
// détecte les objets répétés
for (int k = instance->ptr[current_option]; k < p; k++)
if (item_number == instance->options[k])
errx(1, "Objet %s répété dans l'option %d\n",
instance->item_name[item_number], current_option);
instance->options[p] = item_number;
p++;
has_primary |= item_is_primary(instance, item_number);
j = 0;
}
if (state == BAR) {
errx(1, "Trouvé | dans une option.");
}
if ((state == ENDLINE || state == ENDFILE)) {
// esquive les lignes vides
if (p > instance->ptr[current_option]) {
if (current_option == instance->n_options)
errx(1, "Option excédentaire");
if (!has_primary)
errx(1, "Option %d sans objet primaire\n", current_option);
current_option++;
instance->ptr[current_option] = p;
has_primary = false;
}
}
// passe au prochain caractère
i++;
}
if (current_option != instance->n_options)
errx(1, "Incohérence : %d options attendues mais seulement %d fournies\n",
instance->n_options, current_option);
fclose(in);
fprintf(stderr, "Lu %d objets (%d principaux) et %d options\n",
instance->n_items, instance->n_primary, instance->n_options);
return instance;
}
/**
* Envoie l'instance par le processeur principal à tous les autres processeurs.
*
* @param instance instance
*/
void send_instance(struct instance_t *instance)
{
MPI_Bcast(&instance->n_items, 1, MPI_INT, ROOT, MPI_COMM_WORLD);
MPI_Bcast(&instance->n_primary, 1, MPI_INT, ROOT, MPI_COMM_WORLD);
MPI_Bcast(&instance->n_options, 1, MPI_INT, ROOT, MPI_COMM_WORLD);
MPI_Bcast(instance->item_name, instance->n_items * sizeof(char*), MPI_CHAR, ROOT, MPI_COMM_WORLD);
MPI_Bcast(instance->options, instance->n_options * instance->n_items, MPI_INT, ROOT, MPI_COMM_WORLD);
MPI_Bcast(instance->ptr, instance->n_options + 1, MPI_INT, ROOT, MPI_COMM_WORLD);
}
/**
* Reçoit l'instance envoyée par le processeur principal.
*
* @return instance
*/
struct instance_t *recv_instance()
{
/* Allocation de l'instance */
struct instance_t *instance = malloc(sizeof(*instance));
/* Récupération des entiers */
MPI_Bcast(&instance->n_items, 1, MPI_INT, ROOT, MPI_COMM_WORLD);
MPI_Bcast(&instance->n_primary, 1, MPI_INT, ROOT, MPI_COMM_WORLD);
MPI_Bcast(&instance->n_options, 1, MPI_INT, ROOT, MPI_COMM_WORLD);
/* Allocation des tableaux */
instance->item_name = malloc(instance->n_items * sizeof(char*));
instance->options = malloc(instance->n_options * instance->n_items * sizeof(int));
instance->ptr = malloc((instance->n_options + 1) * sizeof(int));
/* Récupération des données des tableaux */
MPI_Bcast(instance->item_name, instance->n_items * sizeof(char*), MPI_CHAR, ROOT, MPI_COMM_WORLD);
MPI_Bcast(instance->options, instance->n_options * instance->n_items, MPI_INT, ROOT, MPI_COMM_WORLD);
MPI_Bcast(instance->ptr, instance->n_options + 1, MPI_INT, ROOT, MPI_COMM_WORLD);
return instance;
}
struct context_t * backtracking_setup(const struct instance_t *instance)
{
struct context_t *ctx = malloc(sizeof(*ctx));
if (ctx == NULL)
err(1, "impossible d'allouer un contexte");
ctx->level = 0;
ctx->nodes = 0;
ctx->solutions = 0;
int n = instance->n_items;
int m = instance->n_options;
ctx->active_options = malloc(n * sizeof(*ctx->active_options));
ctx->chosen_options = malloc(n * sizeof(*ctx->chosen_options));
ctx->child_num = malloc(n * sizeof(*ctx->child_num));
ctx->num_children = malloc(n * sizeof(*ctx->num_children));
if (ctx->active_options == NULL || ctx->chosen_options == NULL
|| ctx->child_num == NULL || ctx->num_children == NULL)
err(1, "impossible d'allouer le contexte");
ctx->active_items = sparse_array_init(n);
for (int item = 0; item < instance->n_primary; item++)
sparse_array_add(ctx->active_items, item);
for (int item = 0; item < n; item++)
ctx->active_options[item] = sparse_array_init(m);
for (int option = 0; option < m; option++)
for (int k = instance->ptr[option]; k < instance->ptr[option + 1]; k++) {
int item = instance->options[k];
sparse_array_add(ctx->active_options[item], option);
}
return ctx;
}
/**
* Copie un tableau d'entiers.
*
* @param a tableau d'entiers
* @param n taille du tableau
* @return copie de a
*/
int *array_copy(const int *a, int n)
{
int *A = malloc(n * sizeof(int));
if (A == NULL)
err(1, "impossible d'allouer un tableau");
for (int i = 0; i < n; i++)
{
A[i] = a[i];
}
return A;
}
/**
* Copie un tableau creux.
*
* @param s tableau creux
* @return copie de s
*/
struct sparse_array_t *sparse_array_copy(const struct sparse_array_t *s)
{
struct sparse_array_t *S = malloc(sizeof(*S));
if (S == NULL)
err(1, "impossible d'allouer un tableau creux");
S->len = s->len;
S->capacity = s->capacity;
S->p = array_copy(s->p, s->capacity);
S->q = array_copy(s->q, s->capacity);
return S;
}
/**
* Crée une copie du contexte donné en argument.
*
* @param ctx contexte
* @param n nombre d'items
* @return copie de ctx
*/
struct context_t * copy_ctx(const struct context_t *ctx, int n)
{
struct context_t *ctx_copy = malloc(sizeof(*ctx_copy));
if (ctx_copy == NULL)
err(1, "impossible d'allouer un contexte");
/* Copie de level, nodes et solutions */
ctx_copy->level = ctx->level;
ctx_copy->nodes = ctx->nodes;
ctx_copy->solutions = ctx->solutions;
/* Copie de chosen_options */
ctx_copy->chosen_options = array_copy(ctx->chosen_options, n);
/* Copie de child_num */
ctx_copy->child_num = array_copy(ctx->child_num, n);
/* Copie de num_children */
ctx_copy->num_children = array_copy(ctx->num_children, n);
/* Copie de active_items */
ctx_copy->active_items = sparse_array_copy(ctx->active_items);
/* Copie de active_options */
ctx_copy->active_options = malloc(n * sizeof(*ctx_copy->active_options));
for (int item = 0; item < n; item++)
ctx_copy->active_options[item] = sparse_array_copy(ctx->active_options[item]);
return ctx_copy;
}
/**
* Nettoie la mémoire pour un tableau creux.
*
* @param S tableau creux
*/
void sparse_array_free(struct sparse_array_t *S)
{
free(S->p);
free(S->q);
free(S);
}
/**
* Nettoie la mémoire pour un contexte.
*
* @param ctx contexte
* @param n nombre d'items
*/
void free_ctx(struct context_t *ctx, int n)
{
sparse_array_free(ctx->active_items);
for (int item = 0; item < n; item++)
sparse_array_free(ctx->active_options[item]);
free(ctx->active_options);
free(ctx->chosen_options);
free(ctx->child_num);
free(ctx->num_children);
free(ctx);
}
/**
* Nettoie la mémoire pour une instance.
*
* @param instance instance
*/
void free_instance(struct instance_t *instance)
{
if (instance->item_name != NULL)
{
// for (int i = 0; i < instance->n_items; i++)
// {
// free(instance->item_name[i]);
// }
free(instance->item_name);
}
free(instance->options);
free(instance->ptr);
free(instance);
}
void solve(const struct instance_t *instance, struct context_t *ctx)
{
ctx->nodes++;
// if (ctx->nodes == next_report)
// progress_report(ctx);
if (sparse_array_empty(ctx->active_items)) {
solution_found(instance, ctx);
return; /* succès : plus d'objet actif */
}
int chosen_item = choose_next_item(ctx);
struct sparse_array_t *active_options = ctx->active_options[chosen_item];
if (sparse_array_empty(active_options))
return; /* échec : impossible de couvrir chosen_item */
cover(instance, ctx, chosen_item);
ctx->num_children[ctx->level] = active_options->len;
for (int k = 0; k < active_options->len; k++) {
int option = active_options->p[k];
ctx->child_num[ctx->level] = k;
choose_option(instance, ctx, option, chosen_item);
solve(instance, ctx);
if (ctx->solutions >= max_solutions)
return;
unchoose_option(instance, ctx, option, chosen_item);
}
uncover(instance, ctx, chosen_item); /* backtrack */
}
/**
* Crée les tâches pour trouver les solutions.
*
* @param instance instance
* @param ctx contexte
* @param solutions pointeur vers le nombre de solutions
* @param nodes pointeur vers le nombre de noeuds parcourus
*/
void solve_create_tasks(const struct instance_t *instance, struct context_t *ctx,
long long *solutions, long long *nodes)
{
(*nodes)++;
if (sparse_array_empty(ctx->active_items))
{
solution_found(instance, ctx);
(*solutions)++;
return; /* succès : plus d'objet actif */
}
int chosen_item = choose_next_item(ctx);
struct sparse_array_t *active_options = ctx->active_options[chosen_item];
if (sparse_array_empty(active_options))
{
return; /* échec : impossible de couvrir chosen_item */
}
cover(instance, ctx, chosen_item);
ctx->num_children[ctx->level] = active_options->len;
for (int k = 0; k < active_options->len; k++)
{
int option = active_options->p[k];
/* Copie du contexte */
struct context_t *ctx_copy = copy_ctx(ctx, instance->n_items);
/* Choix de l'option sur la copie */
ctx_copy->child_num[ctx_copy->level] = k;
choose_option(instance, ctx_copy, option, chosen_item);
/* Création de la tâche */
#pragma omp task
{
solve(instance, ctx_copy);
#pragma omp atomic
(*solutions) += ctx_copy->solutions;
#pragma omp atomic
(*nodes) += ctx_copy->nodes;
free_ctx(ctx_copy, instance->n_items);
}
}
uncover(instance, ctx, chosen_item); /* backtrack */
}
int main(int argc, char **argv)
{
struct option longopts[5] = {
{"in", required_argument, NULL, 'i'},
{"progress-report", required_argument, NULL, 'v'},
{"print-solutions", no_argument, NULL, 'p'},
{"stop-after", required_argument, NULL, 's'},
{NULL, 0, NULL, 0}
};
char ch;
while ((ch = getopt_long(argc, argv, "", longopts, NULL)) != -1) {
switch (ch) {
case 'i':
in_filename = optarg;
break;
case 'p':
print_solutions = true;
break;
case 's':
max_solutions = atoll(optarg);
break;
case 'v':
report_delta = atoll(optarg);
break;
default:
errx(1, "Unknown option\n");
}
}
if (in_filename == NULL)
usage(argv);
next_report = report_delta;
/* Variables MPI */
int size, rank;
MPI_Status status;
/* Tags des messages */
enum Tag{AVAILABLE, WORK_TODO, WORK_DONE, WORK, END};
/* Buffer pour envoyer le nombre de noeuds explorés et le nombre de solutions trouvées */
long long work[2];
/* Initialisation de MPI */
MPI_Init(&argc, &argv);
/* Nombre de processeurs */
MPI_Comm_size(MPI_COMM_WORLD, &size);
/* Rang du processeur */
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
/* Récupération de l'instance */
struct instance_t *instance;
if (rank == ROOT)
{
/* Lecture de l'instance dans le fichier */
instance = load_matrix(in_filename);
/* Envoie de l'instance aux autres processeurs */
send_instance(instance);
}
else
{
/* Reçoit l'instance */
instance = recv_instance();
}
/* Création du contexte */
struct context_t * ctx = backtracking_setup(instance);
/* Variable d'arrêt */
bool run = true;
/* Variables pour gérer le travail à faire */
int k = 0, k_done = 0, stopped = 0;
/* Variable contenant le nombre de solutions trouvées
et le nombre de noeuds parcourus */
long long solutions, nodes;
/* Start solve */
printf("[DEBUG] Processor %d: START\n", rank);
int chosen_item = choose_next_item(ctx);
struct sparse_array_t *active_options = ctx->active_options[chosen_item];
cover(instance, ctx, chosen_item);
ctx->num_children[ctx->level] = active_options->len;
int option;
/* Processeur principal */
if (rank == ROOT)
{
start = wtime();
ctx->nodes++;
/* Work loop */
while (run)
{
/* Reçoit un message d'un ouvrier */
MPI_Recv(NULL, 0, MPI_INT, MPI_ANY_SOURCE, MPI_ANY_TAG,
MPI_COMM_WORLD, &status);
switch (status.MPI_TAG)
{
case AVAILABLE:
/* Envoie le travail à faire s'il en reste */
if (k < active_options->len)
{
MPI_Send(&k, 1, MPI_INT, status.MPI_SOURCE,
WORK_TODO, MPI_COMM_WORLD);
k++;
}
/* Signale la fin du travail sinon */
else
{
MPI_Send(&k, 1, MPI_INT, status.MPI_SOURCE,
END, MPI_COMM_WORLD);
stopped++;
run = stopped < size - 1;
}
break;
case WORK_DONE:
/* Reçoit le travail fait : nodes et solutions */
MPI_Recv(&work, 2, MPI_LONG_LONG, status.MPI_SOURCE,
WORK, MPI_COMM_WORLD, &status);
ctx->nodes += work[0];
ctx->solutions += work[1];
if (ctx->nodes >= next_report)
progress_report(ctx);
k_done++;
break;
default:
fprintf(stderr, "Unknown message\n");
break;
}
}
printf("FINI. Trouvé %lld solutions en %.1fs\n", ctx->solutions,
wtime() - start);
printf("%lld noeuds explorés\n", ctx->nodes);
}
/* Processeur ouvrier */
else
{
while (run)
{
/* Dit au patron qu'il est disponible */
MPI_Send(NULL, 0, MPI_INT, ROOT, AVAILABLE, MPI_COMM_WORLD);
/* Reçoit un message du patron */
MPI_Recv(&k, 1, MPI_INT, ROOT, MPI_ANY_TAG,
MPI_COMM_WORLD, &status);
switch (status.MPI_TAG)
{
case WORK_TODO:
/* Résout le problème pour le sous-arbre demandé */
ctx->nodes = ctx->solutions = 0;
option = active_options->p[k];
ctx->child_num[ctx->level] = k;
choose_option(instance, ctx, option, chosen_item);
nodes = solutions = 0;
#pragma omp parallel
#pragma omp single
solve_create_tasks(instance, ctx, &solutions, &nodes);
unchoose_option(instance, ctx, option, chosen_item);
work[0] = nodes;
work[1] = solutions;
/* Prévient le patron qu'il va recevoir le travail */
MPI_Send(NULL, 0, MPI_INT, ROOT, WORK_DONE, MPI_COMM_WORLD);
/* Envoie au patron le nombre le noeuds explorés
et le nombre de solutions trouvées */
MPI_Send(&work, 2, MPI_LONG_LONG, ROOT, WORK, MPI_COMM_WORLD);
break;
case END:
/* Travail terminé */
run = false;
break;
default:
fprintf(stderr, "Unknown message\n");
break;
}
}
}
/* Free memory */
free_ctx(ctx, instance->n_items);
free_instance(instance);
printf("[DEBUG] Processor %d: END\n", rank);
/* Finalisation MPI */
MPI_Finalize();
exit(EXIT_SUCCESS);
}
|
opal_test.c | // Copyright 2009-2020 Sandia Corporation. Under the terms
// of Contract DE-NA0003525 with Sandia Corporation, the U.S.
// Government retains certain rights in this software.
//
// Copyright (c) 2009-2020, Sandia Corporation
// All rights reserved.
//
// Portions are copyright of other developers:
// See the file CONTRIBUTORS.TXT in the top level directory
// the distribution for more information.
//
// This file is part of the SST software package. For license
// information, see the LICENSE file in the top level directory of the
// distribution.
#include <stdio.h>
#include <stdlib.h>
extern "C"
void ariel_enable() { printf("Inside Ariel\n"); }
int main(int argc, char* argv[]) {
const int LENGTH = 2000;
ariel_enable();
printf("Allocating arrays of size %d elements.\n", LENGTH);
double* a = (double*) malloc(sizeof(double) * LENGTH);
double* b = (double*) malloc(sizeof(double) * LENGTH);
double* c = (double*) malloc(sizeof(double) * LENGTH);
printf("Done allocating arrays.\n");
int i;
for(i = 0; i < LENGTH; ++i) {
a[i] = i;
b[i] = LENGTH - i;
c[i] = 0;
}
printf("Perfoming the fast_c compute loop...\n");
#pragma omp parallel num_threads(2)
for(i = 0; i < LENGTH; ++i) {
//printf("issuing a write to: %llu (fast_c)\n", ((unsigned long long int) &fast_c[i]));
c[i] = 2.0 * a[i] + 1.5 * b[i];
}
double sum = 0;
for(i = 0; i < LENGTH; ++i) {
sum += c[i];
}
printf("Sum of arrays is: %f\n", sum);
printf("Freeing arrays...\n");
free(a);
free(b);
free(c);
printf("Done.\n");
}
|
sufsort_priv.h | /*
* nvbio
* Copyright (c) 2011-2014, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#include <cub/cub.cuh>
#include <mgpuhost.cuh>
#include <moderngpu.cuh>
#include <nvbio/strings/string_set.h>
#include <nvbio/basic/thrust_view.h>
#include <nvbio/basic/cuda/sort.h>
#include <nvbio/basic/cuda/timer.h>
#include <nvbio/basic/cuda/ldg.h>
#include <nvbio/basic/cuda/primitives.h>
#include <thrust/host_vector.h>
#include <thrust/device_vector.h>
#include <thrust/adjacent_difference.h>
#include <thrust/binary_search.h>
#include <thrust/iterator/constant_iterator.h>
#include <thrust/gather.h>
#if defined(PLATFORM_X86)
#include <emmintrin.h> // SSE intrinsics
#endif
namespace nvbio {
namespace priv {
template <uint32 BITS> struct word_selector {};
template <> struct word_selector<4> { typedef uint8 type; };
template <> struct word_selector<6> { typedef uint8 type; };
template <> struct word_selector<8> { typedef uint8 type; };
template <> struct word_selector<10> { typedef uint8 type; };
template <> struct word_selector<12> { typedef uint16 type; };
template <> struct word_selector<14> { typedef uint16 type; };
template <> struct word_selector<16> { typedef uint16 type; };
template <> struct word_selector<18> { typedef uint16 type; };
template <> struct word_selector<20> { typedef uint32 type; };
template <> struct word_selector<22> { typedef uint32 type; };
template <> struct word_selector<24> { typedef uint32 type; };
template <> struct word_selector<26> { typedef uint32 type; };
template <> struct word_selector<28> { typedef uint32 type; };
template <> struct word_selector<30> { typedef uint32 type; };
template <> struct word_selector<32> { typedef uint32 type; };
template <> struct word_selector<48> { typedef uint64 type; };
template <> struct word_selector<64> { typedef uint64 type; };
typedef ConcatenatedStringSet<
PackedStream<uint32*,uint8,2u,false,uint64>,
uint64*> string_set_2bit;
typedef ConcatenatedStringSet<
PackedStream<uint32*,uint8,2u,false,uint64>,
uint64*> string_set_4bit;
typedef ConcatenatedStringSet<
PackedStream<uint32*,uint8,8u,false,uint64>,
uint64*> string_set_8bit;
typedef ConcatenatedStringSet<
PackedStream<uint32*,uint8,2u,true,uint64>,
uint64*> string_set_2bit_be;
typedef ConcatenatedStringSet<
PackedStream<uint64*,uint8,2u,true,uint64>,
uint64*> string_set_2bit_u64_be;
typedef PackedStream<uint32*,uint8,2u,false,uint64> string_2bit_le;
typedef PackedStream<uint32*,uint8,4u,false,uint64> string_4bit_le;
typedef PackedStream<uint32*,uint8,8u,false,uint64> string_8bit_le;
typedef PackedStream<uint32*,uint8,2u,true,uint64> string_2bit_be;
typedef PackedStream<uint32*,uint8,4u,true,uint64> string_4bit_be;
typedef PackedStream<uint32*,uint8,8u,true,uint64> string_8bit_be;
void extract_radices(
const priv::string_set_2bit_be string_set,
const uint32 n_suffixes,
const uint32 word_begin,
const uint32 word_end,
const uint32 word_bits,
const uint2* suffixes,
uint32* radices,
uint8* symbols = NULL);
void extract_radices(
const priv::string_set_2bit_u64_be string_set,
const uint32 n_suffixes,
const uint32 word_begin,
const uint32 word_end,
const uint32 word_bits,
const uint2* suffixes,
uint64* radices,
uint8* symbols = NULL);
// make sure a given buffer is big enough
//
template <typename VectorType>
void alloc_storage(VectorType& vec, const uint64 size)
{
if (vec.size() < size)
{
try
{
vec.clear();
vec.resize( size );
}
catch (...)
{
log_error(stderr,"alloc_storage() : allocation failed!\n");
throw;
}
}
}
/// set the last n bits to 0
///
template <typename storage_type>
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
storage_type clearmask(const uint32 n) { return ~((storage_type(1u) << n)-1u); }
/// A functor to cast from one type into another
///
struct in_range_functor
{
typedef uint32 argument_type;
typedef bool result_type;
/// constructor
///
in_range_functor(const uint32 _begin, const uint32 _end) : begin(_begin), end(_end) {}
/// return true if i is in the range
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
bool operator() (const uint32 i) const { return i >= begin && i < end; }
const uint32 begin, end;
};
/// A functor subtracting the second element of a pair from the first
///
struct minus_one
{
typedef uint32 argument_type;
typedef uint32 result_type;
/// return the length of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
uint32 operator() (const uint32 i) const { return i - 1; }
};
/// A functor adding the given constant to all intergers
///
struct offset_functor
{
typedef uint32 argument_type;
typedef uint32 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
offset_functor(const uint32 _offset) : offset(_offset) {}
/// return the length of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
uint32 operator() (const uint32 i) const { return i + offset; }
const uint32 offset;
};
/// A functor dividing all integers by the given constant
///
struct add_divide_functor
{
typedef uint32 argument_type;
typedef uint32 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
add_divide_functor(const uint32 _a, const uint32 _k) : a(_a), k(_k) {}
/// return the length of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
uint32 operator() (const uint32 i) const { return (i + a) / k; }
const uint32 a;
const uint32 k;
};
/// A functor fetching the length of the i-th string in a set
///
template <typename string_set_type>
struct length_functor
{
typedef uint32 argument_type;
typedef uint32 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
length_functor(const string_set_type _string_set, const bool _extended) : string_set(_string_set), extended(_extended) {}
/// return the length of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
uint32 operator() (const uint32 i) const
{
return string_set[i].length() + (extended ? 1u : 0u);
}
string_set_type string_set;
bool extended;
};
/// A functor adding the given constant to the string id of a suffix
///
struct suffix_offset_functor
{
typedef uint2 argument_type;
typedef uint2 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
suffix_offset_functor(const uint32 _offset) : offset(_offset) {}
/// return the length of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
uint2 operator() (const uint2 suffix) const { return make_uint2( suffix.x, suffix.y + offset ); }
const uint32 offset;
};
/// A functor returning the given component of a suffix
///
enum SuffixComponent
{
SUFFIX_ID = 0,
STRING_ID = 1
};
template <SuffixComponent COMP>
struct suffix_component_functor
{
typedef uint2 argument_type;
typedef uint32 result_type;
/// return the length of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
uint32 operator() (const uint2 suffix) const { return COMP == STRING_ID ? suffix.y : suffix.x; }
};
template <uint32 WORD_BITS, uint32 DOLLAR_BITS, uint32 SYMBOL_SIZE, typename string_type, typename index_type>
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
uint32 extract_word_generic(
const string_type string,
const index_type string_len,
const index_type suffix_idx,
const uint32 w)
{
const uint32 SYMBOLS_PER_WORD = uint32(WORD_BITS - DOLLAR_BITS)/SYMBOL_SIZE;
const uint32 SYMBOL_OFFSET = uint32(WORD_BITS) - SYMBOL_SIZE;
uint32 word = 0u;
for (uint32 j = 0; j < SYMBOLS_PER_WORD; ++j)
{
const index_type jj = suffix_idx + w*SYMBOLS_PER_WORD + j;
const uint32 c = jj < string_len ? string[jj] : 0u;
word |= (c << (SYMBOL_OFFSET - j*SYMBOL_SIZE));
}
if (DOLLAR_BITS)
{
// encode the dollar's position in the least significant bits of the word
const uint32 dollar_offset =
string_len <= suffix_idx + w*SYMBOLS_PER_WORD + SYMBOLS_PER_WORD ? // is there a dollar sign?
(string_len < suffix_idx + w*SYMBOLS_PER_WORD) ? 0u :
uint32(string_len - suffix_idx - w*SYMBOLS_PER_WORD) :
(1u << DOLLAR_BITS)-1u; // no dollar sign in this word
return word | dollar_offset;
}
else
return word;
}
/// return how many symbols are encoded per word
///
template <uint32 SYMBOL_SIZE, uint32 WORD_BITS, uint32 DOLLAR_BITS>
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
uint32 symbols_per_word()
{
const uint32 SYMBOLS_PER_WORD = (WORD_BITS - DOLLAR_BITS)/SYMBOL_SIZE;
return SYMBOLS_PER_WORD;
}
template <uint32 WORD_BITS, uint32 DOLLAR_BITS, uint32 SYMBOL_SIZE, typename storage_type, typename index_type, typename sufindex_type>
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
typename std::iterator_traits<storage_type>::value_type extract_word_packed(
const storage_type base_words,
const index_type string_len,
const index_type string_off,
const sufindex_type suffix_idx,
const uint32 w)
{
typedef typename std::iterator_traits<storage_type>::value_type word_type;
const uint32 STORAGE_BITS = uint32( 8u * sizeof(word_type) );
const uint32 STORAGE_SYMBOLS = STORAGE_BITS / SYMBOL_SIZE;
const uint32 SYMBOLS_PER_WORD = uint32(WORD_BITS - DOLLAR_BITS)/SYMBOL_SIZE;
//const uint32 SYMBOL_OFFSET = uint32(WORD_BITS) - SYMBOL_SIZE;
const sufindex_type suffix_off = suffix_idx + w*SYMBOLS_PER_WORD; // suffix offset
// do we have any symbols to encode?
if (suffix_off >= string_len)
return 0u;
const index_type range_len = string_len - suffix_off; // partial suffix length
const index_type range_off = string_off + suffix_off; // partial suffix offset
const uint32 n_symbols = (uint32)nvbio::min( range_len, index_type(SYMBOLS_PER_WORD) ); // symbols to pack
//
// As SYMBOLS_PER_WORD is less than 32, we know that the symbols we are looking for
// will span at most 2 32-bit words.
// Of the n_symbols we want to read, there might be n1 in the first word, and n2 in the
// second word.
// As the beginning of our symbol stream (range_off) might stride the 32-bit word boundary,
// the highest m1 = range_off % 16 symbols of the first word might have to be discarded,
// and we'll find our n1 symbols in the following position:
//
// |-------------------------------------------|
// |* * * * * *| x x x x x x x x x | * * * * * |
// |-------------------------------------------|
// | m1 | n1 | r1 |
//
// What we do is shifting the n1 symbols to the top of the 32-bit word (i.e. m1 to the left).
// Clearing the remaining symbols is only needed if n1 == n_symbols; if n1 < n_symbols, r1 will
// be necessarily zero.
//
// At this point, we might have n2 more symbols to read in the highest bits of the second word:
//
// |-------------------------------------------|
// | y y y y y y y y | * * * * * * * * * * * * |
// |-------------------------------------------|
// | n2 | r2 |
//
// which we need to shift right by (n1*SYMBOL_SIZE) bits.
// At the very end, we'll shift everything right by (32 - WORD_BITS) bits in order to have
// our output tightly packed in the lowest WORD_BITS:
//
// 32 WORD_BITS DOLLAR_BITS 0
// |-----------|-----------------------|-------|
// | * * * * * | x x x x | y y y | 0 0 | $ $ $ | // notice the possible presence of 0's before
// |-------------------------------------------| // the $ sign: these are bits that need to be
// | | n1 | n2 | | | // cleared if the suffix is short
//
const uint32 k1 = uint32( range_off/STORAGE_SYMBOLS ); // index of the first word
const uint32 m1 = range_off & (STORAGE_SYMBOLS-1); // offset in the word
const uint32 r1 = STORAGE_SYMBOLS - m1; // symbols to read
const word_type word1 = (base_words[ k1 ] << (m1*SYMBOL_SIZE)); // fetch the first word, shifted left
word_type word = word1;
if (n_symbols > r1) // do we need to read another word?
{
const word_type word2 = base_words[ k1+1u ]; // fetch the second word
word |= word2 >> (r1*SYMBOL_SIZE); // shift by n1 symbols to the right
}
word >>= (STORAGE_BITS - WORD_BITS); // align the top to WORD_BITS
// clear every symbol we don't need among the word's LSD
word &= clearmask<word_type>( WORD_BITS - n_symbols*SYMBOL_SIZE );
if (DOLLAR_BITS)
{
// encode the dollar's position in the least significant bits of the word
const word_type dollar_offset =
range_len <= SYMBOLS_PER_WORD ? // is there a dollar sign?
range_len :
(1u << DOLLAR_BITS)-1u; // no dollar sign in this word
return word | dollar_offset;
}
else
return word;
}
template <uint32 WORD_BITS, uint32 DOLLAR_BITS, uint32 SYMBOL_SIZE, typename storage_type, typename index_type, typename sufindex_type, typename output_iterator>
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
void extract_word_packed(
const storage_type base_words,
const index_type string_len,
const index_type string_off,
const sufindex_type suffix_idx,
const uint32 word_begin,
const uint32 word_end,
output_iterator words)
{
typedef typename std::iterator_traits<storage_type>::value_type word_type;
const uint32 STORAGE_BITS = uint32( 8u * sizeof(word_type) );
const uint32 STORAGE_SYMBOLS = STORAGE_BITS / SYMBOL_SIZE;
const uint32 SYMBOLS_PER_WORD = uint32(WORD_BITS - DOLLAR_BITS)/SYMBOL_SIZE;
//const uint32 SYMBOL_OFFSET = uint32(WORD_BITS) - SYMBOL_SIZE;
sufindex_type suffix_off = suffix_idx + word_begin*SYMBOLS_PER_WORD; // suffix offset
index_type range_len = string_len - suffix_off; // partial suffix length
index_type range_off = string_off + suffix_off; // partial suffix offset
const uint32 cache_begin = uint32( range_off / STORAGE_SYMBOLS );
#if defined(PLATFORM_X86) && !defined(NVBIO_DEVICE_COMPILATION)
// use SSE to load all the words we need in a small cache
const uint32 SSE_WORDS = 16u / sizeof( word_type );
const uint32 cache_end = uint32( (range_off + (word_end - word_begin)*SYMBOLS_PER_WORD) / STORAGE_SYMBOLS );
__m128i sse_cache[8];
for (uint32 w = cache_begin; w < cache_end; w += SSE_WORDS)
sse_cache[ (w - cache_begin)/SSE_WORDS ] = _mm_loadu_si128( (const __m128i*)(base_words + w) );
const word_type* cached_words = (const word_type*)sse_cache;
#elif 0
const_cached_iterator<storage_type> cached_words( base_words + cache_begin );
#else
const storage_type cached_words = base_words + cache_begin;
#endif
for (uint32 w = word_begin; w < word_end; ++w)
{
// do we have any symbols to encode?
if (suffix_off >= string_len)
{
words[w - word_begin] = 0u;
continue;
}
const uint32 n_symbols = (uint32)nvbio::min( range_len, index_type(SYMBOLS_PER_WORD) ); // symbols to pack
//
// As SYMBOLS_PER_WORD is less than 32, we know that the symbols we are looking for
// will span at most 2 32-bit words.
// Of the n_symbols we want to read, there might be n1 in the first word, and n2 in the
// second word.
// As the beginning of our symbol stream (range_off) might stride the 32-bit word boundary,
// the highest m1 = range_off % 16 symbols of the first word might have to be discarded,
// and we'll find our n1 symbols in the following position:
//
// |-------------------------------------------|
// |* * * * * *| x x x x x x x x x | * * * * * |
// |-------------------------------------------|
// | m1 | n1 | r1 |
//
// What we do is shifting the n1 symbols to the top of the 32-bit word (i.e. m1 to the left).
// Clearing the remaining symbols is only needed if n1 == n_symbols; if n1 < n_symbols, r1 will
// be necessarily zero.
//
// At this point, we might have n2 more symbols to read in the highest bits of the second word:
//
// |-------------------------------------------|
// | y y y y y y y y | * * * * * * * * * * * * |
// |-------------------------------------------|
// | n2 | r2 |
//
// which we need to shift right by (n1*SYMBOL_SIZE) bits.
// At the very end, we'll shift everything right by (32 - WORD_BITS) bits in order to have
// our output tightly packed in the lowest WORD_BITS:
//
// 32 WORD_BITS DOLLAR_BITS 0
// |-----------|-----------------------|-------|
// | * * * * * | x x x x | y y y | 0 0 | $ $ $ | // notice the possible presence of 0's before
// |-------------------------------------------| // the $ sign: these are bits that need to be
// | | n1 | n2 | | | // cleared if the suffix is short
//
const uint32 k1 = uint32( range_off/STORAGE_SYMBOLS ) - cache_begin; // index of the first word
const uint32 m1 = range_off & (STORAGE_SYMBOLS-1); // offset in the word
const uint32 r1 = STORAGE_SYMBOLS - m1; // symbols left in the word
const word_type word1 = (cached_words[ k1 ] << (m1*SYMBOL_SIZE)); // fetch the first word, shifted left
word_type word = word1;
if (n_symbols > r1) // do we need to read another word?
{
const word_type word2 = cached_words[ k1+1u ]; // fetch the second word
word |= word2 >> (r1*SYMBOL_SIZE); // shift by n1 symbols to the right
}
word >>= (STORAGE_BITS - WORD_BITS); // align the top to WORD_BITS
// clear every symbol we don't need among the word's LSD
word &= clearmask<word_type>( WORD_BITS - n_symbols*SYMBOL_SIZE );
if (DOLLAR_BITS)
{
// encode the dollar's position in the least significant bits of the word
const word_type dollar_offset =
range_len <= SYMBOLS_PER_WORD ? // is there a dollar sign?
range_len :
(1u << DOLLAR_BITS)-1u; // no dollar sign in this word
word |= dollar_offset;
}
// write the word out
words[ w - word_begin ] = word;
suffix_off += SYMBOLS_PER_WORD;
range_len -= SYMBOLS_PER_WORD;
range_off += SYMBOLS_PER_WORD;
}
}
/// A functor to localize suffixes, making the conversion: global-suffix-id -> (string-id,suffix-id)
///
struct localize_suffix_functor
{
typedef uint32 argument_type;
typedef uint2 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
localize_suffix_functor(const uint32* _cum_lengths, const uint32* _string_ids, const uint32 _string_offset = 0u) :
cum_lengths(_cum_lengths),
string_ids(_string_ids),
string_offset( _string_offset ) {}
/// return the localized suffix
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint32 global_suffix_idx) const
{
const uint32 string_idx = string_ids[ global_suffix_idx ];
const uint32 suffix_idx = global_suffix_idx - (string_idx ? cum_lengths[ string_idx-1u ] : 0u);
return make_uint2( suffix_idx, string_offset + string_idx );
}
const uint32* cum_lengths;
const uint32* string_ids;
const uint32 string_offset;
};
/// A functor fetching the w'th word worth of 2-bit symbols from the i-th string in a set
///
template <uint32 SYMBOL_SIZE, uint32 WORD_BITS, uint32 DOLLAR_BITS, typename string_set_type, typename word_type>
struct local_set_suffix_word_functor
{
typedef uint2 argument_type;
typedef word_type result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
local_set_suffix_word_functor(const string_set_type _string_set, const uint32 _w) :
string_set(_string_set),
w(_w) {}
/// return the w'th word of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint2 local_suffix_idx) const
{
typedef typename string_set_type::string_type string_type;
const uint32 string_idx = local_suffix_idx.y;
const uint32 suffix_idx = local_suffix_idx.x;
const string_type string = string_set[string_idx];
const uint32 string_len = string.length();
return result_type( extract_word_generic<WORD_BITS,DOLLAR_BITS,SYMBOL_SIZE>(
string,
string_len,
suffix_idx,
w ) );
}
string_set_type string_set;
uint32 w;
};
/// A functor fetching the w'th word worth of 2-bit symbols from the given (string,suffix) in a set
///
template <uint32 SYMBOL_SIZE, uint32 WORD_BITS, uint32 DOLLAR_BITS, typename storage_type, typename word_type, typename offsets_iterator>
struct local_set_suffix_word_functor<
SYMBOL_SIZE, WORD_BITS, DOLLAR_BITS,
ConcatenatedStringSet<
PackedStream<storage_type,uint8,SYMBOL_SIZE,true,typename std::iterator_traits<offsets_iterator>::value_type>,
offsets_iterator>,
word_type>
{
typedef typename std::iterator_traits<offsets_iterator>::value_type index_type;
typedef ConcatenatedStringSet<
PackedStream<storage_type,uint8,SYMBOL_SIZE,true,index_type>,
offsets_iterator> string_set_type;
typedef uint2 argument_type;
typedef word_type result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
local_set_suffix_word_functor(const string_set_type _string_set, const uint32 _w) :
string_set(_string_set),
w(_w) {}
/// return the w'th word of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint2 local_suffix_idx) const
{
typedef typename string_set_type::string_type string_type;
const uint32 string_idx = local_suffix_idx.y;
const uint32 suffix_idx = local_suffix_idx.x;
const index_type string_off = string_set.offsets()[ string_idx ];
const index_type string_end = string_set.offsets()[ string_idx+1u ];
const index_type string_len = uint32( string_end - string_off );
const storage_type base_words = string_set.base_string().stream();
return result_type( extract_word_packed<WORD_BITS,DOLLAR_BITS,SYMBOL_SIZE>(
base_words,
string_len,
string_off,
suffix_idx,
w ) );
}
string_set_type string_set;
uint32 w;
};
/// A functor fetching the w'th word worth of 2-bit symbols from the i-th suffix in a set
///
template <uint32 SYMBOL_SIZE, uint32 WORD_BITS, uint32 DOLLAR_BITS, typename string_set_type, typename word_type>
struct global_set_suffix_word_functor
{
typedef uint32 argument_type;
typedef word_type result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
global_set_suffix_word_functor(const string_set_type _string_set, const uint32* _cum_lengths, const uint32* _string_ids, const uint32 _w) :
word_functor( _string_set, _w ),
localizer( _cum_lengths, _string_ids ) {}
/// return the w'th word of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint32 global_suffix_idx) const
{
return word_functor( localizer( global_suffix_idx ) );
}
local_set_suffix_word_functor<SYMBOL_SIZE,WORD_BITS,DOLLAR_BITS,string_set_type,word_type> word_functor;
localize_suffix_functor localizer;
};
/// A functor fetching the w'th word worth of 2-bit symbols from the i-th string in a set
///
template <uint32 SYMBOL_SIZE, uint32 WORD_BITS, uint32 DOLLAR_BITS, typename string_type, typename word_type>
struct string_suffix_word_functor
{
typedef uint32 argument_type;
typedef word_type result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
string_suffix_word_functor(const uint64 _string_len, const string_type _string, const uint32 _w) :
string_len(_string_len),
string(_string),
w(_w) {}
/// return the w'th word of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint64 suffix_idx) const
{
return result_type( extract_word_generic<WORD_BITS,DOLLAR_BITS,SYMBOL_SIZE>(
string,
string_len,
suffix_idx,
w ) );
}
const uint64 string_len;
string_type string;
uint32 w;
};
/// A functor fetching the w'th word worth of 2-bit symbols from the i-th string in a set
///
template <uint32 SYMBOL_SIZE, uint32 WORD_BITS, uint32 DOLLAR_BITS, typename storage_type, typename symbol_type, typename index_type, typename word_type>
struct string_suffix_word_functor<
SYMBOL_SIZE, WORD_BITS, DOLLAR_BITS,
PackedStream<storage_type,symbol_type,SYMBOL_SIZE,true,index_type>,
word_type>
{
typedef typename PackedStream<storage_type,symbol_type,SYMBOL_SIZE,true,index_type>::iterator string_type;
typedef uint2 argument_type;
typedef word_type result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
string_suffix_word_functor(const index_type _string_len, const string_type _string, const uint32 _w) :
string_len(_string_len),
string(_string),
w(_w) {}
/// return the w'th word of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const index_type suffix_idx) const
{
const storage_type base_words = string.stream();
return result_type( extract_word_packed<WORD_BITS,DOLLAR_BITS,SYMBOL_SIZE>(
base_words,
string_len,
string.index(),
suffix_idx,
w ) );
}
const index_type string_len;
string_type string;
uint32 w;
};
/// A binary functor calculating whether two suffixes differ (returning 1) or not (returning 0)
///
template <typename string_type>
struct string_suffix_difference
{
typedef uint32 first_argument_type;
typedef uint32 second_argument_type;
typedef uint32 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
string_suffix_difference(const uint64 _string_len, const string_type _string, const uint32 _cmp_len) :
string_len(_string_len),
string(_string),
cmp_len( _cmp_len ) {}
/// return the w'th word of the i-th string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint64 suffix_idx1, const uint64 suffix_idx2) const
{
// if one of the two suffixes is less than cmp_len, then the two suffixes must
// necessarily differ (because no two suffixes have the same length)
if (string_len - suffix_idx1 < cmp_len ||
string_len - suffix_idx2 < cmp_len)
return 1u;
for (uint32 i = 0; i < cmp_len; ++i)
{
if (string[suffix_idx1 + i] != string[suffix_idx2 + i])
return 1u;
}
return 0u;
}
const uint64 string_len;
string_type string;
uint32 cmp_len;
};
/// A binary functor comparing two suffixes lexicographically
///
template <uint32 SYMBOL_SIZE, typename string_type>
struct string_suffix_less
{
typedef uint32 first_argument_type;
typedef uint32 second_argument_type;
typedef uint32 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
string_suffix_less(const uint64 _string_len, const string_type _string) :
string_len(_string_len),
string(_string) {}
/// return true if the first suffix is lexicographically smaller than the second, false otherwise
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint64 suffix_idx1, const uint64 suffix_idx2) const
{
const uint32 WORD_BITS = 32u; // use 32-bit words
const uint32 DOLLAR_BITS = 4u; // 4 is the minimum number needed to encode up to 16 symbols per word
const uint32 SYMBOLS_PER_WORD = symbols_per_word<SYMBOL_SIZE,WORD_BITS,DOLLAR_BITS>();
const uint32 n_words = uint32( nvbio::min(
(string_len - suffix_idx1),
(string_len - suffix_idx2) ) + SYMBOLS_PER_WORD-1 ) / SYMBOLS_PER_WORD;
// loop through all string-words
for (uint32 w = 0; w < n_words; ++w)
{
string_suffix_word_functor<SYMBOL_SIZE,WORD_BITS,DOLLAR_BITS,string_type,uint32> word_functor( string_len, string, w );
const uint32 w1 = word_functor( suffix_idx1 );
const uint32 w2 = word_functor( suffix_idx2 );
if (w1 < w2) return true;
if (w1 > w2) return false;
}
return false;
}
const uint64 string_len;
string_type string;
};
/// given a string, return the symbol preceding each of its suffixes, or 255u to mark the
/// special $ symbol used for the first suffix.
///
template <typename string_type>
struct string_bwt_functor
{
typedef uint64 argument_type;
typedef uint8 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
string_bwt_functor(const uint64 _string_len, const string_type _string) :
string_len(_string_len),
string(_string) {}
/// return the symbol preceding the given suffix
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const argument_type suffix_idx) const
{
return suffix_idx ? string[suffix_idx-1] : 255u; // use 255u to mark the dollar sign
}
const uint64 string_len;
const string_type string;
};
/// given a string set, return the symbol preceding each of its suffixes, or 255u to mark the
/// special $ symbol used for the first suffix.
///
template <typename string_set_type>
struct string_set_bwt_functor
{
typedef uint2 argument_type;
typedef uint8 result_type;
/// constructor
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
string_set_bwt_functor(const string_set_type _string_set) :
string_set(_string_set) {}
/// return the symbol preceding the given suffix
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const argument_type local_suffix_idx) const
{
typedef typename string_set_type::string_type string_type;
const uint32 string_idx = local_suffix_idx.y;
const uint32 suffix_idx = local_suffix_idx.x;
const string_type string = string_set[string_idx];
return suffix_idx ? string[suffix_idx-1] : 255u; // use 255u to mark the dollar sign
}
/// return the last symbol of a given string
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint32 string_idx) const
{
typedef typename string_set_type::string_type string_type;
const string_type string = string_set[string_idx];
return string[ string.length()-1 ];
}
const string_set_type string_set;
};
/// A binary functor implementing some custom logic to remove singletons from a set of segment-flags
///
struct remove_singletons
{
typedef uint32 first_argument_type;
typedef uint32 second_argument_type;
typedef uint32 result_type;
/// functor operator
///
/// \return flag1 && flag2 ? 0 : 1
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const uint32 flag1, const uint32 flag2) const
{
return (flag1 && flag2) ? 0u : 1u;
}
};
/// A binary functor to merge keys with new radices
///
struct merge_keys
{
typedef uint32 first_argument_type;
typedef uint64 second_argument_type;
typedef uint64 result_type;
/// functor operator
///
/// \return (key << 32u) | radix
///
NVBIO_FORCEINLINE NVBIO_HOST_DEVICE
result_type operator() (const first_argument_type radix, const second_argument_type key) const
{
return (key << 32u) | second_argument_type( radix );
}
};
/*
template <uint32 SYMBOL_SIZE, uint32 WORD_BITS, uint32 DOLLAR_BITS, typename string_set_type>
struct dispatch_set_suffix_radices
{
template <typename radix_iterator>
void enact(
const string_set_type& string_set,
const SetSuffixFlattener<SYMBOL_SIZE>& set_flattener,
radix_iterator radices)
{
typedef typename std::iterator_traits<radix_iterator>::value_type word_type;
thrust::transform(
thrust::make_counting_iterator(0u),
thrust::make_counting_iterator(0u) + set_flattener.n_suffixes,
radices,
global_set_suffix_word_functor<SYMBOL_SIZE,BITS,DOLLAR_BITS,string_set_type,word_type>(
string_set,
nvbio::device_view( set_flattener.cum_lengths ),
nvbio::device_view( set_flattener.string_ids ),
0u ) );
}
};
template <uint32 SYMBOL_SIZE, uint32 WORD_BITS, uint32 DOLLAR_BITS, typename storage_type, typename index_type>
struct dispatch_set_suffix_radices<
SYMBOL_SIZE, WORD_BITS, DOLLAR_BITS,
ConcatenatedStringSet<PackedStream<storage_type,uint8,SYMBOL_SIZE,true,index_type>,index_type*>,
word_type>
{
typedef ConcatenatedStringSet<
PackedStream<storage_type,uint8,SYMBOL_SIZE,true,index_type>,
index_type*> string_set_type;
template <typename radix_iterator>
void enact(
const string_set_type& string_set,
const SetSuffixFlattener<SYMBOL_SIZE>& set_flattener,
radix_iterator radices)
{
typedef typename std::iterator_traits<radix_iterator>::value_type word_type;
thrust::transform(
thrust::make_counting_iterator(0u),
thrust::make_counting_iterator(0u) + set_flattener.n_suffixes,
radices,
global_set_suffix_word_functor<SYMBOL_SIZE,BITS,DOLLAR_BITS,string_set_type,word_type>(
string_set,
nvbio::device_view( set_flattener.cum_lengths ),
nvbio::device_view( set_flattener.string_ids ),
word_idx ) );
}
};
*/
template <uint32 BITS, uint32 DOLLAR_BITS>
struct Bits {};
/// A helper class allowing to "flatten" the suffixes in a given string-set, i.e. to extract
/// all of them word-by-word in a flattened array.
///
template <uint32 SYMBOL_SIZE>
struct SetSuffixFlattener
{
SetSuffixFlattener(mgpu::ContextPtr _mgpu) :
d_scan_time(0.0f),
d_search_time(0.0f),
m_mgpu( _mgpu ) {}
/// clear internal timers
///
void clear_timers()
{
d_scan_time = 0.0f;
d_search_time = 0.0f;
}
/// reserve storage
///
void reserve(const uint32 n_strings, const uint32 n_suffixes)
{
alloc_storage( cum_lengths, n_strings );
alloc_storage( string_ids, n_suffixes );
}
/// return the amount of device memory needed
///
uint64 needed_device_memory(const uint32 n_strings, const uint32 n_suffixes) const
{
return (n_strings + n_suffixes) * sizeof(uint32);
}
/// initialize this flattener, building the auxiliary data-structures needed
/// to extract the radices
///
template <typename string_set_type>
void set(const string_set_type& string_set, const bool empty_suffixes = true)
{
const uint32 n = string_set.size();
cuda::Timer timer;
timer.start();
// compute the cumulative sum of the string lengths in the set - we will use this for
// building the map: (global suffix index -> string index)
alloc_storage( cum_lengths, n );
cuda::inclusive_scan(
n,
thrust::make_transform_iterator( thrust::make_counting_iterator(0u), length_functor<string_set_type>( string_set, empty_suffixes ) ),
cum_lengths.begin(),
thrust::plus<uint32>(),
temp_storage );
// compute the number of suffixes
n_suffixes = cum_lengths[n-1];
timer.stop();
d_scan_time += timer.seconds();
timer.start();
// assign the string id to each suffix - this is done by a simple binary search on the suffix index
// in the vector of cumulative string lengths
alloc_storage( string_ids, n_suffixes );
// find the end of each bin of values
mgpu::SortedSearch<mgpu::MgpuBoundsLower>(
thrust::make_counting_iterator<uint32>(0u),
n_suffixes,
thrust::make_transform_iterator( cum_lengths.begin(), minus_one() ),
n,
string_ids.begin(),
*m_mgpu );
timer.stop();
d_search_time += timer.seconds();
}
/// extract the given radix of all suffixes
///
template <uint32 BITS, uint32 DOLLAR_BITS, typename string_set_type, typename index_iterator, typename radix_iterator>
void flatten(
const string_set_type& string_set,
const uint32 word_idx,
const Bits<BITS,DOLLAR_BITS> word_bits,
const index_iterator indices,
radix_iterator radices)
{
typedef typename std::iterator_traits<radix_iterator>::value_type word_type;
thrust::transform(
indices,
indices + n_suffixes,
radices,
global_set_suffix_word_functor<SYMBOL_SIZE,BITS,DOLLAR_BITS,string_set_type,word_type>(
string_set,
nvbio::device_view( cum_lengths ),
nvbio::device_view( string_ids ),
word_idx ) );
}
/// compute the maximum suffix length among the specified range
///
template <typename string_set_type>
uint32 max_length(
const string_set_type& string_set, const bool empty_suffixes = true)
{
// compute the maximum string length in the set
return cuda::reduce(
uint32( string_set.size() ),
thrust::make_transform_iterator(
thrust::make_counting_iterator<uint32>(0u),
length_functor<string_set_type>( string_set, empty_suffixes ) ),
thrust::maximum<uint32>(),
temp_storage );
}
/// compute the maximum suffix length among the specified range
///
template <typename string_set_type, typename index_iterator>
uint32 max_length(
const string_set_type& string_set,
const index_iterator indices_begin,
const index_iterator indices_end)
{
// TODO: this function is conservative, in the sense it returns the maximum *string* length;
// however, each suffix might be shorter than the string it belongs to.
return indices_end <= indices_begin ? 0u :
cuda::reduce(
indices_end - indices_begin,
thrust::make_transform_iterator(
thrust::make_permutation_iterator( string_ids.begin(), indices_begin ),
length_functor<string_set_type>( string_set, false ) ),
thrust::maximum<uint32>(),
temp_storage );
}
/// return the amount of used device memory
///
uint64 allocated_device_memory() const
{
return
cum_lengths.size() * sizeof(uint32) +
string_ids.size() * sizeof(uint32) +
temp_storage.size() * sizeof(uint8);
}
uint32 n_suffixes; ///< number of suffixes in the string set
thrust::device_vector<uint32> cum_lengths; ///< cumulative string lengths
thrust::device_vector<uint32> string_ids; ///< a vector containing the string index corresponding
/// to each flattened suffixes; i.e. if the set contains
/// 3 strings of length (3, 2, 5), the string ids will be
/// the vector (0,0,0,1,1,2,2,2,2,2).
thrust::device_vector<uint8> temp_storage;
float d_scan_time;
float d_search_time;
mgpu::ContextPtr m_mgpu;
};
/// A helper class to load a chunk of a string_set from the host onto the device
///
template <uint32 SYMBOL_SIZE, bool BIG_ENDIAN, typename storage_type, typename offsets_iterator, typename input_tag, typename output_tag>
struct ChunkLoader {};
/// A helper class to load a chunk of a string_set from the host onto the device
///
template <uint32 SYMBOL_SIZE, bool BIG_ENDIAN, typename storage_type, typename offsets_iterator>
struct ChunkLoader<SYMBOL_SIZE,BIG_ENDIAN,storage_type,offsets_iterator,host_tag,device_tag>
{
// infer the word type
typedef typename std::iterator_traits<storage_type>::value_type word_type;
typedef typename std::iterator_traits<offsets_iterator>::value_type index_type;
typedef cuda::load_pointer<word_type,cuda::LOAD_LDG> word_pointer;
typedef PackedStream<word_pointer,uint8,SYMBOL_SIZE,BIG_ENDIAN> packed_stream_type;
typedef typename packed_stream_type::iterator packed_stream_iterator;
typedef ConcatenatedStringSet<packed_stream_iterator,uint32*> chunk_set_type;
// infer the word size
static const uint32 SYMBOLS_PER_WORD = uint32(8u*sizeof(word_type))/SYMBOL_SIZE;
uint64 needed_device_memory(const uint32 max_strings, const uint32 max_symbols) const
{
const uint32 max_words = util::divide_ri( max_symbols, SYMBOLS_PER_WORD ) + 2;
return (max_strings+1) * sizeof(uint32) +
max_words * sizeof(word_type);
}
void reserve(const uint32 max_strings, const uint32 max_symbols)
{
const uint32 max_words = util::divide_ri( max_symbols, SYMBOLS_PER_WORD ) + 2;
alloc_storage( h_chunk_offsets, max_strings+1 );
alloc_storage( d_chunk_offsets, max_strings+1 );
alloc_storage( d_chunk_string, max_words );
}
chunk_set_type load(
const ConcatenatedStringSet<
typename PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type>::iterator,
offsets_iterator> string_set,
const uint32 chunk_begin,
const uint32 chunk_end)
{
const uint32 chunk_size = chunk_end - chunk_begin;
alloc_storage( h_chunk_offsets, chunk_size+1 );
alloc_storage( d_chunk_offsets, chunk_size+1 );
// find the words overlapped by the chunk
const uint64 begin_index = string_set.offsets()[ chunk_begin ];
const uint64 end_index = string_set.offsets()[ chunk_end ];
const uint64 begin_word = (begin_index / SYMBOLS_PER_WORD);
const uint64 end_word = (end_index + SYMBOLS_PER_WORD-1) / SYMBOLS_PER_WORD;
const uint32 chunk_words = uint32( end_word - begin_word );
const word_type* base_words = string_set.base_string().stream();
alloc_storage( d_chunk_string, chunk_words );
// copy them to the device
thrust::copy(
base_words + begin_word,
base_words + begin_word + chunk_words,
d_chunk_string.begin() );
// build the host offsets
uint32 chunk_symbols = uint32( begin_index % SYMBOLS_PER_WORD );
h_chunk_offsets[0] = chunk_symbols;
for (uint32 i = 0; i < chunk_size; ++i)
{
chunk_symbols += string_set[ chunk_begin + i ].size();
h_chunk_offsets[i+1] = chunk_symbols;
}
// copy the offsets to the device
thrust::copy(
h_chunk_offsets.begin(),
h_chunk_offsets.begin() + chunk_size+1,
d_chunk_offsets.begin() );
// finally assemble the device chunk string-set
packed_stream_type d_packed_stream( word_pointer( nvbio::plain_view( d_chunk_string ) ) );
return chunk_set_type(
chunk_size,
d_packed_stream.begin(),
nvbio::plain_view( d_chunk_offsets ) );
}
thrust::host_vector<uint32> h_chunk_offsets;
thrust::device_vector<word_type> d_chunk_string;
thrust::device_vector<uint32> d_chunk_offsets;
};
/// A helper class to load a chunk of a string_set from the host onto the device
///
template <uint32 SYMBOL_SIZE, bool BIG_ENDIAN, typename storage_type, typename offsets_iterator, typename system_tag>
struct ChunkLoader<SYMBOL_SIZE,BIG_ENDIAN,storage_type,offsets_iterator,system_tag,system_tag>
{
typedef typename std::iterator_traits<offsets_iterator>::value_type index_type;
typedef const ConcatenatedStringSet<
typename PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type>::iterator,
offsets_iterator> string_set_type;
typedef string_set_type chunk_set_type;
chunk_set_type load(
const string_set_type string_set,
const uint32 chunk_begin,
const uint32 chunk_end)
{
// assemble the device chunk string-set
return chunk_set_type(
uint32( chunk_end - chunk_begin ),
string_set.base_string(),
string_set.offsets() + chunk_begin );
}
};
/// extract the given radix from the given suffixes of a string
///
template <uint32 SYMBOL_SIZE, uint32 BITS, uint32 DOLLAR_BITS, typename string_type, typename index_iterator, typename radix_iterator>
void flatten_string_suffixes(
const uint64 string_len,
const string_type& string,
const uint32 word_idx,
const index_iterator indices_begin,
const index_iterator indices_end,
radix_iterator radices)
{
typedef typename std::iterator_traits<radix_iterator>::value_type word_type;
thrust::transform(
indices_begin,
indices_end,
radices,
string_suffix_word_functor<SYMBOL_SIZE, BITS, DOLLAR_BITS,string_type,word_type>(
string_len,
string,
word_idx ) );
}
/// A context class to perform suffix bucketing
///
template <uint32 SYMBOL_SIZE, uint32 N_BITS, uint32 DOLLAR_BITS>
struct StringSuffixBucketer
{
typedef uint32 word_type;
StringSuffixBucketer() : d_setup_time(0.0f), d_flatten_time(0.0f), d_count_sort_time(0.0f), d_collect_sort_time(0.0f), d_remap_time(0.0f), d_copy_time(0.0f), d_filter_time(0.0f) {}
/// count the number of suffixes falling in each bucket, where the buckets
/// are defined by the first n_bits of the suffix
///
template <typename suffix_iterator, typename string_type>
void count(
const uint32 n_suffixes,
const suffix_iterator suffixes,
const uint32 string_length,
const string_type& string)
{
cuda::Timer timer;
const uint32 n_buckets = 1u << (N_BITS);
// initialize the temporary and output vectors
alloc_storage( d_indices, n_suffixes * 2u );
alloc_storage( d_radices, n_suffixes * 2u );
alloc_storage( d_buckets, n_buckets );
timer.start();
// extract the first radix word from each of the suffixes
flatten_string_suffixes<SYMBOL_SIZE, N_BITS,DOLLAR_BITS>(
string_length,
string,
0u, // load the first word
suffixes,
suffixes + n_suffixes,
d_radices.begin() );
timer.stop();
d_flatten_time += timer.seconds();
timer.start();
// sort the radices so as to make binning easy
cuda::SortBuffers<word_type*> sort_buffers;
cuda::SortEnactor sort_enactor;
sort_buffers.selector = 0;
sort_buffers.keys[0] = nvbio::device_view( d_radices );
sort_buffers.keys[1] = nvbio::device_view( d_radices ) + n_suffixes;
sort_enactor.sort( n_suffixes, sort_buffers, 0u, N_BITS );
//thrust::sort( d_radices.begin(), d_radices.begin() + n_suffixes );
timer.stop();
d_count_sort_time += timer.seconds();
// initialize the bucket counters
thrust::fill( d_buckets.begin(), d_buckets.end(), 0u );
// compute the number of effectively used buckets looking at the last non-empty one
const uint32 n_used_buckets = d_radices[ sort_buffers.selector * n_suffixes + n_suffixes-1 ] + 1u;
// find the end of each bin of values
thrust::upper_bound(
d_radices.begin() + sort_buffers.selector * n_suffixes,
d_radices.begin() + sort_buffers.selector * n_suffixes + n_suffixes,
thrust::make_counting_iterator<uint32>(0u),
thrust::make_counting_iterator<uint32>(0u) + n_used_buckets,
d_buckets.begin() );
// compute the histogram by taking differences of the cumulative histogram
thrust::adjacent_difference(
d_buckets.begin(), d_buckets.begin() + n_used_buckets,
d_buckets.begin());
}
/// collect the suffixes falling in a given set of buckets, where the buckets
/// are defined by the first n_bits of the suffix
///
template <typename suffix_iterator, typename string_type, typename bucketmap_iterator, typename output_iterator>
uint32 collect(
const uint32 n_suffixes,
const suffix_iterator suffixes,
const uint64 string_length,
const string_type& string,
const uint32 bucket_begin,
const uint32 bucket_end,
const bucketmap_iterator bucketmap,
output_iterator output_radices,
output_iterator output_indices)
{
cuda::Timer timer;
const uint32 n_buckets = 1u << N_BITS;
// initialize the temporary and output vectors
alloc_storage( d_indices, n_suffixes * 2u );
alloc_storage( d_radices, n_suffixes * 2u );
alloc_storage( d_buckets, n_buckets );
timer.start();
// extract the first radix word from each of the suffixes
flatten_string_suffixes<SYMBOL_SIZE,N_BITS,DOLLAR_BITS>(
string_length,
string,
0u, // load the first word
suffixes,
suffixes + n_suffixes,
d_radices.begin() );
timer.stop();
d_flatten_time += timer.seconds();
timer.start();
// determine if a radix is in the given bucket range
const priv::in_range_functor in_range = priv::in_range_functor( bucket_begin, bucket_end );
// retain only suffixes whose radix is between the specified buckets
const uint32 n_collected = cuda::copy_flagged(
n_suffixes,
thrust::make_zip_iterator( thrust::make_tuple( suffixes, d_radices.begin() ) ),
thrust::make_transform_iterator( d_radices.begin(), in_range ),
thrust::make_zip_iterator( thrust::make_tuple( d_indices.begin(), d_radices.begin() ) ) + n_suffixes,
d_temp_storage );
timer.stop();
d_filter_time += timer.seconds();
timer.start();
// remap the collected radices
thrust::gather(
d_radices.begin() + n_suffixes,
d_radices.begin() + n_suffixes + n_collected,
bucketmap,
d_radices.begin() + n_suffixes );
timer.stop();
d_remap_time += timer.seconds();
timer.start();
// sort the radices so as to make binning easy
cuda::SortBuffers<word_type*,uint64*> sort_buffers;
cuda::SortEnactor sort_enactor;
sort_buffers.selector = 0;
//#define SORT_BY_BUCKETS
#if defined(SORT_BY_BUCKETS)
sort_buffers.keys[0] = nvbio::device_view( d_radices ) + n_suffixes;
sort_buffers.keys[1] = nvbio::device_view( d_radices );
sort_buffers.values[0] = (uint64*)nvbio::device_view( d_indices ) + buffer_stride;
sort_buffers.values[1] = (uint64*)nvbio::device_view( d_indices );
sort_enactor.sort( n_collected, sort_buffers, 0u, N_BITS );
#endif
timer.stop();
d_collect_sort_time += timer.seconds();
//
// copy all the indices inside the range to the output
//
//alloc_storage( output_suffixes, n_suffixes );
//alloc_storage( output_radices, n_suffixes );
timer.start();
// the buffer selector had inverted semantics
sort_buffers.selector = 1 - sort_buffers.selector;
// and copy everything to the output
thrust::copy(
d_indices.begin() + sort_buffers.selector * n_suffixes,
d_indices.begin() + sort_buffers.selector * n_suffixes + n_collected,
output_indices );
// and copy everything to the output
thrust::copy(
d_radices.begin() + sort_buffers.selector * n_suffixes,
d_radices.begin() + sort_buffers.selector * n_suffixes + n_collected,
output_radices );
timer.stop();
d_copy_time += timer.seconds();
return n_collected;
}
thrust::device_vector<uint32> d_indices;
thrust::device_vector<word_type> d_radices;
thrust::device_vector<uint32> d_buckets;
thrust::device_vector<uint8> d_temp_storage;
float d_setup_time;
float d_flatten_time;
float d_count_sort_time;
float d_collect_sort_time;
float d_remap_time;
float d_copy_time;
float d_filter_time;
};
//
// A host-side radix extractor context
//
template <typename string_set_type, uint32 SYMBOL_SIZE, uint32 DOLLAR_BITS, uint32 WORD_BITS>
struct HostStringSetRadices
{
HostStringSetRadices(const string_set_type string_set) : m_string_set( string_set ) {}
/// return the number of words needed to represent a given string length
///
uint32 num_words(const uint32 max_string_len) const
{
const uint32 SYMBOLS_PER_WORD = priv::symbols_per_word<SYMBOL_SIZE,WORD_BITS,DOLLAR_BITS>();
return (max_string_len + SYMBOLS_PER_WORD-1) / SYMBOLS_PER_WORD;
}
/// needed amount of device storage
///
uint64 needed_device_memory(const uint32 n_suffixes) const
{
return n_suffixes * sizeof(uint8) + // d_symbols
n_suffixes * sizeof(uint32); // d_active_suffixes
}
/// reserve any temporary space for the given amount of suffixes
///
void reserve(const uint32 n_suffixes, const uint32 block_size)
{
try
{
d_active_suffixes.resize( n_suffixes );
d_symbols.resize( n_suffixes );
h_symbols.resize( n_suffixes );
h_active_suffixes.resize( n_suffixes );
m_block.resize( n_suffixes * block_size );
}
catch (...)
{
log_error(stderr, "HostStringSetRadices::reserve() : allocation failed!\n");
throw;
}
}
/// initialize the suffixes to extract
///
void init(const uint32 n_suffixes, const uint2* _h_suffixes, const uint2* _d_suffixes)
{
m_suffixes = _h_suffixes;
d_suffixes = thrust::device_ptr<const uint2>( _d_suffixes );
}
/// initialize extraction of a slice of words
///
void init_slice(
const uint32 n_indices,
const uint32* d_indices,
const uint32 word_block_begin,
const uint32 word_block_end)
{
try
{
if (d_indices == NULL)
{
// extract the given radix word from each of the partially sorted suffixes on the host
priv::extract_radices(
m_string_set,
n_indices,
word_block_begin,
word_block_end,
WORD_BITS,
m_suffixes,
&m_block[0],
word_block_begin == 0 ? &h_symbols[0] : NULL ); // on the first iteration, load the BWT symbols too
}
else
{
// gather the list of active suffixes
thrust::gather(
thrust::device_ptr<const uint32>( d_indices ),
thrust::device_ptr<const uint32>( d_indices ) + n_indices,
d_suffixes,
d_active_suffixes.begin() );
// copy the list of active suffixes to the host
thrust::copy(
d_active_suffixes.begin(),
d_active_suffixes.begin() + n_indices,
h_active_suffixes.begin() );
// extract the given radix word from each of the partially sorted suffixes on the host
priv::extract_radices(
m_string_set,
n_indices,
word_block_begin,
word_block_end,
WORD_BITS,
&h_active_suffixes[0],
&m_block[0] );
}
}
catch (...)
{
log_error(stderr, "HostStringSetRadices::init_slice() : exception caught!\n");
throw;
}
}
/// extract the radices corresponding to a given word of the given suffixes
///
/// \param n_indices the input number of suffixes
/// \param d_indices a device vector of the indices to extract
/// \param word_idx the word index to extract
/// \param word_begin the beginning of the current slice range
/// \param word_idx the end of the current slice range
/// \param d_radices the destination device array to hold the output
///
void extract(
const uint32 n_indices,
const uint32* d_indices,
const uint32 word_idx,
const uint32 word_block_begin,
const uint32 word_block_end,
uint32* d_radices) const
{
try
{
// and copy them to the device
thrust::copy(
m_block.begin() + n_indices * (word_idx - word_block_begin),
m_block.begin() + n_indices * (word_idx - word_block_begin) + n_indices,
thrust::device_ptr<uint32>( d_radices ) );
}
catch (...)
{
log_error(stderr, "HostStringSetRadices::extract() : exception caught!\n");
throw;
}
}
/// extract the bwt of the given block
///
void dollar_bwt(
const uint32 begin,
const uint32 end,
uint8* h_bwt)
{
const int n_strings = int( end - begin );
// fetch the BWT symbols for the given strings
#pragma omp parallel for
for (int i = 0; i < n_strings; ++i)
{
const priv::string_set_bwt_functor<string_set_type> bwt( m_string_set );
h_bwt[i] = bwt( i + begin );
}
}
/// extract the bwt of the given block
///
void bwt(
const uint32 n_suffixes,
const uint32* d_indices,
uint8* h_bwt,
uint8* d_bwt)
{
try
{
if (d_indices != NULL)
{
#if 0
// fetch the BWT symbols for this block of suffixes
#pragma omp parallel for
for (int i = 0; i < n_suffixes; ++i)
{
const priv::string_set_bwt_functor<string_set_type> bwt( m_string_set );
h_symbols[i] = bwt( m_suffixes[i] );
}
#endif
#if 0
alloc_storage( m_block, n_suffixes );
// re-purpose the radix-block storage
uint32* h_indices = &m_block[0];
// copy the sorted indices to the host
thrust::copy(
thrust::device_ptr<const uint32>( d_indices ),
thrust::device_ptr<const uint32>( d_indices ) + n_suffixes,
h_indices );
// and compute the bwt of the block by gathering the symbols in suffix-sorted order
thrust::gather(
h_indices,
h_indices + n_suffixes,
h_symbols.begin(),
h_bwt );
#else
alloc_storage( d_symbols, n_suffixes );
// copy the symbols to the device
thrust::copy(
h_symbols.begin(),
h_symbols.begin() + n_suffixes,
d_symbols.begin() );
// gather the symbols in proper order
thrust::gather(
thrust::device_ptr<const uint32>( d_indices ),
thrust::device_ptr<const uint32>( d_indices ) + n_suffixes,
d_symbols.begin(),
thrust::device_ptr<uint8>( d_bwt ) );
// and copy the sorted symbols back to the host
thrust::copy(
thrust::device_ptr<uint8>( d_bwt ),
thrust::device_ptr<uint8>( d_bwt ) + n_suffixes,
h_bwt );
#endif
}
else
{
// fetch the BWT symbols for this block of suffixes
#pragma omp parallel for
for (unsigned int i = 0; i < n_suffixes; ++i)
{
const priv::string_set_bwt_functor<string_set_type> bwt( m_string_set );
h_bwt[i] = bwt( m_suffixes[i] );
}
// and copy the sorted symbols back to the device
thrust::copy(
h_bwt,
h_bwt + n_suffixes,
thrust::device_ptr<uint8>( d_bwt ) );
}
}
catch (...)
{
log_error(stderr, "HostStringSetRadices::bwt() : exception caught!\n");
throw;
}
}
/// return the amount of used device memory
///
uint64 allocated_device_memory() const
{
return
d_active_suffixes.size() * sizeof(uint2) +
d_symbols.size() * sizeof(uint8);
}
/// return the amount of used device memory
///
uint64 allocated_host_memory() const
{
return
m_block.size() * sizeof(uint2) +
h_active_suffixes.size() * sizeof(uint2) +
h_symbols.size() * sizeof(uint8);
}
string_set_type m_string_set;
const uint2* m_suffixes;
thrust::device_ptr<const uint2> d_suffixes;
thrust::device_vector<uint2> d_active_suffixes;
thrust::device_vector<uint8> d_symbols;
thrust::host_vector<uint2> h_active_suffixes;
thrust::host_vector<uint8> h_symbols;
thrust::host_vector<uint32> m_block;
};
//
// A host-side radix extractor context
//
template <typename string_set_type, uint32 SYMBOL_SIZE, uint32 DOLLAR_BITS, uint32 WORD_BITS>
struct DeviceStringSetRadices
{
DeviceStringSetRadices() {}
DeviceStringSetRadices(const string_set_type string_set) : m_string_set( string_set ) {}
/// return the number of words needed to represent a given string length
///
uint32 num_words(const uint32 max_string_len) const
{
const uint32 SYMBOLS_PER_WORD = priv::symbols_per_word<SYMBOL_SIZE,WORD_BITS,DOLLAR_BITS>();
return (max_string_len + SYMBOLS_PER_WORD-1) / SYMBOLS_PER_WORD;
}
/// needed amount of device storage
///
uint64 needed_device_memory(const uint32 n_suffixes) const
{
return n_suffixes; // d_symbols
}
/// reserve any temporary space for the given amount of suffixes
///
void reserve(const uint32 n_suffixes, const uint32 slice_size)
{
d_symbols.resize( n_suffixes );
}
/// set string set
///
void set(const string_set_type string_set) { m_string_set = string_set; }
/// initialize the suffixes to extract
///
void init(const uint32 n_suffixes, const uint2* _h_suffixes, const uint2* _d_suffixes)
{
d_suffixes = thrust::device_ptr<const uint2>( _d_suffixes );
}
/// initialize extraction of a slice of words
///
void init_slice(
const uint32 n_indices,
const uint32* d_indices,
const uint32 word_block_begin,
const uint32 word_block_end) {}
/// extract the radices corresponding to a given word of the given suffixes
///
/// \param n_indices the input number of suffixes
/// \param d_indices a device vector of the indices to extract
/// \param word_idx the word index to extract
/// \param word_begin the beginning of the current slice range
/// \param word_idx the end of the current slice range
/// \param d_radices the destination device array to hold the output
///
void extract(
const uint32 n_indices,
const uint32* d_indices,
const uint32 word_idx,
const uint32 word_block_begin,
const uint32 word_block_end,
uint32* d_radices) const
{
// extract the given radix word from each of the partially sorted suffixes in a device temp buffer
priv::local_set_suffix_word_functor<SYMBOL_SIZE,WORD_BITS,DOLLAR_BITS,string_set_type,uint32> word_functor( m_string_set, word_idx );
if (d_indices == NULL)
{
thrust::copy(
thrust::make_transform_iterator( d_suffixes, word_functor ),
thrust::make_transform_iterator( d_suffixes, word_functor ) + n_indices,
thrust::device_ptr<uint32>( d_radices ) );
}
else
{
thrust::copy(
thrust::make_transform_iterator( thrust::make_permutation_iterator( d_suffixes, thrust::device_ptr<const uint32>( d_indices ) ), word_functor ),
thrust::make_transform_iterator( thrust::make_permutation_iterator( d_suffixes, thrust::device_ptr<const uint32>( d_indices ) ), word_functor ) + n_indices,
thrust::device_ptr<uint32>( d_radices ) );
}
}
/// extract the bwt of the given block
///
void dollar_bwt(
const uint32 begin,
const uint32 end,
uint8* h_bwt)
{
const int n_strings = end - begin;
alloc_storage( d_symbols, n_strings );
// fetch the BWT symbols for the given strings
thrust::transform(
thrust::make_counting_iterator<uint32>(begin),
thrust::make_counting_iterator<uint32>(end),
d_symbols.begin(),
priv::string_set_bwt_functor<string_set_type>( m_string_set ) );
// and copy the result to the host
thrust::copy(
d_symbols.begin(),
d_symbols.begin() + n_strings,
h_bwt );
}
/// extract the bwt of the given block
///
void bwt(
const uint32 n_suffixes,
const uint32* d_indices,
uint8* h_bwt,
uint8* d_bwt)
{
if (d_indices != NULL)
{
alloc_storage( d_symbols, n_suffixes );
// fetch the BWT symbols for this block of suffixes
thrust::transform(
d_suffixes,
d_suffixes + n_suffixes,
d_symbols.begin(),
priv::string_set_bwt_functor<string_set_type>( m_string_set ) );
// and compute the bwt of the block by gathering the symbols in suffix-sorted order
thrust::gather(
thrust::device_ptr<const uint32>( d_indices ),
thrust::device_ptr<const uint32>( d_indices ) + n_suffixes,
d_symbols.begin(),
thrust::device_ptr<uint8>( d_bwt ) );
}
else
{
// fetch the BWT symbols for this block of suffixes
thrust::transform(
d_suffixes,
d_suffixes + n_suffixes,
thrust::device_ptr<uint8>( d_bwt ),
priv::string_set_bwt_functor<string_set_type>( m_string_set ) );
}
// and copy the result to the host
thrust::copy(
thrust::device_ptr<uint8>( d_bwt ),
thrust::device_ptr<uint8>( d_bwt ) + n_suffixes,
h_bwt );
}
/// return the amount of used device memory
///
uint64 allocated_device_memory() const
{
return d_symbols.size() * sizeof(uint8);
}
/// return the amount of used device memory
///
uint64 allocated_host_memory() const
{
return 0u;
}
string_set_type m_string_set;
thrust::device_ptr<const uint2> d_suffixes;
thrust::device_vector<uint8> d_symbols;
};
/// Collect dollar symbols out of a BWT + SA block
///
struct DollarExtractor
{
/// constructor
///
DollarExtractor() :
offset(0),
n_dollars(0) {}
/// process a batch of BWT symbols
///
uint32 extract(
const uint32 n_suffixes,
const uint8* h_bwt,
const uint8* d_bwt,
const uint2* h_suffixes,
const uint2* d_suffixes,
const uint32* d_indices);
uint64 offset;
uint32 n_dollars;
thrust::device_vector<uint64> d_dollar_ranks;
thrust::device_vector<uint32> d_dollar_indices;
thrust::device_vector<uint64> d_dollars;
thrust::host_vector<uint64> h_dollar_ranks;
thrust::host_vector<uint64> h_dollars;
thrust::device_vector<uint8> d_temp_storage;
};
// ------------------------------------------------------------------------------------------------------------- //
// the following functions implement device_copy() and device_scatter() - special-purpose functions to copy
// and scatter a set of symbols to a packed stream.
// ------------------------------------------------------------------------------------------------------------- //
/// a simple auxiliary kernel to perform generic device-to-device copies, specialized for packed streams
///
template <typename input_iterator, typename output_iterator, typename index_type>
__global__ void simple_device_copy_kernel(
const uint32 n,
const input_iterator input,
output_iterator output,
const index_type offset)
{
const uint32 thread_id = threadIdx.x + blockIdx.x*blockDim.x;
if (thread_id < n)
output[offset + thread_id] = input[thread_id];
}
/// a simple auxiliary kernel to perform generic device-to-device copies, specialized for packed streams
///
template <typename input_iterator, typename storage_type, uint32 SYMBOL_SIZE, bool BIG_ENDIAN, typename index_type>
__global__ void packed_device_copy_kernel(
const uint32 n,
const input_iterator input,
PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type> output,
const index_type offset)
{
const uint32 thread_id = threadIdx.x + blockIdx.x*blockDim.x;
//
// care must be used to avoid write-conflicts, hence we assign all symbols belonging
// to the same output word to a single thread
//
typedef typename PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type>::storage_type word_type;
const uint32 SYMBOLS_PER_WORD = (8u*sizeof(word_type))/SYMBOL_SIZE;
const uint32 word_offset = uint32( (offset + output.index()) & (SYMBOLS_PER_WORD-1) );
const uint32 elem_begin = thread_id ? (thread_id+0) * SYMBOLS_PER_WORD - word_offset : 0u;
const uint32 elem_end = nvbio::min( (thread_id+1) * SYMBOLS_PER_WORD - word_offset, n );
if (elem_begin < n)
{
for (uint32 i = elem_begin; i < elem_end; ++i)
output[offset+i] = input[i];
}
}
/// a dispatcher for device_copy
///
template <typename input_iterator, typename output_iterator, typename index_type>
struct device_copy_dispatch
{
/// copy n elements from the input stream to the output
///
static void copy(
const uint32 n,
const input_iterator input,
const output_iterator output,
const index_type offset)
{
const uint32 batch_size = cuda::max_grid_size();
for (uint32 batch_begin = 0; batch_begin < n; batch_begin += batch_size)
{
const uint32 batch_end = nvbio::min( batch_begin + batch_size, n );
const uint32 blockdim = 128;
const uint32 n_blocks = util::divide_ri( batch_end - batch_begin, blockdim );
simple_device_copy_kernel<<<n_blocks,blockdim>>>( n, input, output, offset );
}
}
};
/// a dispatcher for device_copy
///
template <typename input_iterator, typename storage_type, uint32 SYMBOL_SIZE, bool BIG_ENDIAN, typename index_type>
struct device_copy_dispatch<
input_iterator,
PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type>,
index_type>
{
typedef PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type> output_iterator;
/// copy n elements from the input stream to the output
///
static void copy(
const uint32 n,
const input_iterator input,
const output_iterator output,
const index_type offset)
{
typedef typename PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type>::storage_type word_type;
const uint32 SYMBOLS_PER_WORD = (8u*sizeof(word_type))/SYMBOL_SIZE;
const uint32 batch_size = cuda::max_grid_size();
for (uint32 batch_begin = 0; batch_begin < n; batch_begin += batch_size)
{
const uint32 batch_end = nvbio::min( batch_begin + batch_size, n );
const uint32 blockdim = 128;
const uint32 n_words = util::divide_ri( batch_end - batch_begin, SYMBOLS_PER_WORD ) + 1u;
const uint32 n_blocks = util::divide_ri( n_words, blockdim );
packed_device_copy_kernel<<<n_blocks,blockdim>>>( batch_end - batch_begin, input, output, offset + batch_begin );
}
}
};
/// copy a set of n symbols from a given input stream to a given output stream
///
template <typename input_iterator, typename output_iterator, typename index_type>
void device_copy(
const uint32 n,
const input_iterator input,
const output_iterator output,
const index_type offset)
{
device_copy_dispatch<input_iterator,output_iterator,index_type>::copy( n, input, output, offset );
}
/// an auxiliary kernel to scatter a set of symbols into a sparse set of slots of a given output stream;
/// this kernel copies a full range of symbols per thread, where individual ranges are guaranteed to
/// touch distinct words of the underlying storage where the output is packed.
///
template <typename input_iterator, typename slot_iterator, typename range_iterator, typename storage_type, uint32 SYMBOL_SIZE, bool BIG_ENDIAN, typename index_type>
__global__ void device_scatter_kernel(
const uint32 begin,
const uint32 end,
const range_iterator ranges,
const input_iterator input,
const slot_iterator slots,
PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type> output)
{
const uint32 thread_id = threadIdx.x + blockIdx.x*blockDim.x;
const uint32 idx = thread_id + begin;
if (idx >= end)
return;
//
// care must be used to avoid write-conflicts, hence we assign all symbols belonging
// to the same output word to a single thread
//
const uint32 elem_begin = idx ? ranges[ idx-1 ] : 0u;
const uint32 elem_end = ranges[ idx ];
for (uint32 i = elem_begin; i < elem_end; ++i)
{
const uint32 slot = slots[i];
output[ slot ] = input[i];
}
}
/// scatter a set of symbols into a sparse set of slots of a given output stream
///
template <typename input_iterator, typename slot_iterator, typename output_iterator>
struct device_scatter_dispatch
{
static void enact(
const uint32 n,
const input_iterator input,
const slot_iterator slots,
output_iterator output)
{
thrust::scatter(
input,
input + n,
slots,
output );
}
};
/// scatter a set of symbols into a sparse set of slots of a given output stream
///
template <typename input_iterator, typename slot_iterator, typename storage_type, uint32 SYMBOL_SIZE, bool BIG_ENDIAN, typename index_type>
struct device_scatter_dispatch<
input_iterator,
slot_iterator,
PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type> >
{
typedef PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type> output_iterator;
static void enact(
const uint32 n,
const input_iterator input,
const slot_iterator slots,
output_iterator output)
{
// find out a set of ranges of input symbols covering distinct words in the output: this is done
// looking at the words covered by each of the symbols, and reducing together all symbols falling
// in the same word.
thrust::device_vector<uint32> d_ranges( n );
thrust::device_vector<uint32> d_keys( n );
typedef typename PackedStream<storage_type,uint8,SYMBOL_SIZE,BIG_ENDIAN,index_type>::storage_type word_type;
const uint32 SYMBOLS_PER_WORD = (8u*sizeof(word_type))/SYMBOL_SIZE;
const uint32 n_ranges = uint32( thrust::reduce_by_key(
thrust::make_transform_iterator( slots, add_divide_functor( output.index(), SYMBOLS_PER_WORD ) ),
thrust::make_transform_iterator( slots + n, add_divide_functor( output.index(), SYMBOLS_PER_WORD ) ),
thrust::make_counting_iterator<uint32>(1u),
d_keys.begin(),
d_ranges.begin(),
thrust::equal_to<uint32>(),
thrust::maximum<uint32>() ).first - d_keys.begin() );
const uint32 batch_size = cuda::max_grid_size();
for (uint32 batch_begin = 0; batch_begin < n_ranges; batch_begin += batch_size)
{
const uint32 batch_end = nvbio::min( batch_begin + batch_size, n_ranges );
// at this point we can scatter the identified ranges
const uint32 blockdim = 128;
const uint32 n_blocks = util::divide_ri( batch_end - batch_begin, blockdim );
device_scatter_kernel<<<n_blocks,blockdim>>>(
batch_begin,
batch_end,
d_ranges.begin(),
input,
slots,
output );
}
}
};
/// scatter a set of symbols into a sparse set of slots of a given output stream
///
template <typename input_iterator, typename slot_iterator, typename output_iterator>
void device_scatter(
const uint32 n,
const input_iterator input,
const slot_iterator slots,
output_iterator output)
{
device_scatter_dispatch<input_iterator,slot_iterator,output_iterator>::enact(
n,
input,
slots,
output );
}
// ------------------------------------------------------------------------------------------------------------- //
/// pack a set of head flags into a bit-packed array
///
void pack_flags(
const uint32 n,
const uint8* flags,
uint32* comp_flags);
/// build a set of head flags looking at adjacent keys
///
void build_head_flags(
const uint32 n,
const uint32* keys,
uint8* flags);
/// build a set of head flags looking at adjacent keys
///
void build_head_flags(
const uint32 n,
const uint64* keys,
uint8* flags);
} // namespace priv
} // namespace nvbio
|
DRB018-plusplus-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.
*/
/* Data race on outLen due to ++ operation.
Adding private (outLen) can avoid race condition. But it is wrong semantically.
Data races on outLen also cause output[outLen++] to have data races.
Data race pairs (we allow two pairs to preserve the original code pattern):
1. outLen@72 vs. outLen@72
2. output[]@72 vs. output[]@72
*/
#include <stdlib.h>
#include <stdio.h>
int input[1000];
int output[1000];
int main()
{
int i ;
int inLen=1000 ;
int outLen = 0;
for (i=0; i<inLen; ++i)
input[i]= i;
#pragma omp parallel for schedule(dynamic)
for (i=0; i<inLen; ++i)
{
output[outLen++] = input[i] ;
}
printf("output[500]=%d\n",output[500]);
return 0;
}
|
mixed_tentusscher_myo_epi_2004_S1_1.c | // Scenario 1 - Mixed-Model TenTusscher 2004 (Myocardium + Epicardium)
// (AP + max:dvdt)
#include <stdio.h>
#include "mixed_tentusscher_myo_epi_2004_S1_1.h"
GET_CELL_MODEL_DATA(init_cell_model_data)
{
if(get_initial_v)
cell_model->initial_v = INITIAL_V;
if(get_neq)
cell_model->number_of_ode_equations = NEQ;
}
SET_ODE_INITIAL_CONDITIONS_CPU(set_model_initial_conditions_cpu)
{
static bool first_call = true;
if(first_call)
{
print_to_stdout_and_file("Using mixed version of TenTusscher 2004 myocardium + epicardium CPU model\n");
first_call = false;
}
// Get the mapping array
uint32_t *mapping = NULL;
if(extra_data)
{
mapping = (uint32_t*)extra_data;
}
else
{
print_to_stderr_and_file_and_exit("You need to specify a mask function when using a mixed model!\n");
}
// Initial conditions for TenTusscher myocardium
if (mapping[sv_id] == 0)
{
// 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[]={-86.3965119057144,0.00133824305081220,0.775463576993407,0.775278393595599,0.000179499343643571,0.483303039835057,0.00297647859235379,0.999998290403642,1.98961879737287e-08,1.93486789479597e-05,0.999599147019885,1.00646342475688,0.999975178010127,5.97703651642618e-05,0.418325344820368,10.7429775420171,138.918155900633};
for (uint32_t i = 0; i < NEQ; i++)
sv[i] = sv_sst[i];
}
// Initial conditions for TenTusscher epicardium
else
{
// 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[]={-86.7787928226268,0.00123339508649700,0.784831144233936,0.784673023102172,0.000169405106163081,0.487281523786458,0.00289654265697758,0.999998418745548,1.86681673058670e-08,1.83872100639159e-05,0.999777546403090,1.00731261455043,0.999997755681027,4.00467125306598e-05,0.953040239833913,9.39175391367938,139.965667493392};
for (uint32_t i = 0; i < NEQ; i++)
sv[i] = sv_sst[i];
}
}
SOLVE_MODEL_ODES_CPU(solve_model_odes_cpu)
{
// Get the mapping array
uint32_t *mapping = NULL;
if(extra_data)
{
mapping = (uint32_t*)extra_data;
}
else
{
print_to_stderr_and_file_and_exit("You need to specify a mask function when using a mixed model!\n");
}
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 = (uint32_t )i;
for (int j = 0; j < num_steps; ++j)
{
if (mapping[i] == 0)
solve_model_ode_cpu_myo(dt, sv + (sv_id * NEQ), stim_currents[i]);
else
solve_model_ode_cpu_epi(dt, sv + (sv_id * NEQ), stim_currents[i]);
}
}
}
void solve_model_ode_cpu_myo (real dt, real *sv, real stim_current)
{
real rY[NEQ], rDY[NEQ];
for(int i = 0; i < NEQ; i++)
rY[i] = sv[i];
RHS_cpu_myo(rY, rDY, stim_current, dt);
for(int i = 0; i < NEQ; i++)
sv[i] = rDY[i];
}
void RHS_cpu_myo(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;
// [!] Myocardium cell
real Gks=0.062;
//Parameters for Ik1
real GK1=5.405;
//Parameters for Ito
// [!] Myocardium cell
real Gto=0.294;
//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 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;
Irel=A*sd*sg;
Ileak=0.00008f*(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;
// [!] Myocardium cell
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.;
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)/300)+80+165/(1.+exp((25-svolt)/10));
TAU_F=1125*exp(-(svolt+27)*(svolt+27)/240)+80+165/(1.+exp((25-svolt)/10)); // Updated from CellML
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;
}
void solve_model_ode_cpu_epi (real dt, real *sv, real stim_current)
{
real rY[NEQ], rDY[NEQ];
for(int i = 0; i < NEQ; i++)
rY[i] = sv[i];
RHS_cpu_epi(rY, rDY, stim_current, dt);
for(int i = 0; i < NEQ; i++)
sv[i] = rDY[i];
}
void RHS_cpu_epi(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;
// [!] Epicardium cell
real Gks=0.245;
//Parameters for Ik1
real GK1=5.405;
//Parameters for Ito
// [!] Epicardium cell
real Gto=0.294;
//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 []={13.7730247891532,0.000208550376791424,0.000166345602997405,0.000314427207496467,0.272150547490643,0.206045798160674,0.134878222351137,2.91860118931279,0.0222099400341836,2.12194476134155,1099.53480175178,0.000604923870766662,0.118384383617544,0.0193733747777405,0.00390066599158743,2.21704721596155e-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=arel*CaSRsquare/(0.0625f+CaSRsquare)+crel;
Irel=A*sd*sg;
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;
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.;
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)/300)+80+165/(1.+exp((25-svolt)/10));
TAU_F=1125*exp(-(svolt+27)*(svolt+27)/240)+80+165/(1.+exp((25-svolt)/10)); // Updated from CellML
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;
}
|
atomic-6.c | /* PR middle-end/36106 */
/* { dg-options "-O2" } */
/* { dg-options "-O2 -mieee" { target alpha*-*-* } } */
/* { dg-options "-O2 -march=i586" { target { { i?86-*-* x86_64-*-* } && ilp32 } } } */
#ifdef __i386__
# include "cpuid.h"
#endif
extern void abort (void);
union { unsigned long long l; double d; } u = { .l = 0x7ff0000000072301ULL };
int __attribute__((noinline))
do_test (void)
{
#pragma omp atomic
u.d += 1.0L;
return 0;
}
int
main (void)
{
#ifdef __i386__
unsigned int eax, ebx, ecx, edx;
if (!__get_cpuid (1, &eax, &ebx, &ecx, &edx))
return 0;
if (!(edx & bit_CMPXCHG8B))
return 0;
#endif
do_test ();
return 0;
}
|
omp_thread_create_overhead.c | // execute in sequence
// input the number of num_user_threadsation
#include <stdlib.h>
#include <stdio.h>
#include <pthread.h>
#include <omp.h>
#include <sys/timeb.h>
//#include <omp_interop.h>
#include <unistd.h>
/* read timer in second */
double read_timer() {
struct timeb tm;
ftime(&tm);
return (double) tm.time + (double) tm.millitm / 1000.0;
}
void *test_fun(void *arg){
printf("miccc2 ********** %d\n", *((int*)arg));
return ((void*)0);
}
int main(int argc, char * argv[]) {
int num_user_threads;
int i, tid;
if (argc >= 2){
omp_set_num_threads(atoi(argv[1]));
num_user_threads = atoi(argv[1]);
}
// omp_set_nested();
// create 50 threads and put them into threadpool
#pragma omp parallel private(tid) num_threads(50)
{
tid = omp_get_thread_num();
}
num_user_threads = 100;
omp_thread_t omp_threads[num_user_threads];
pthread_t pthreads[num_user_threads];
// omp_thread_create
double tt = read_timer();
for(i=0; i<num_user_threads; i++){
omp_thread_create(&omp_threads[i], test_fun, &i, NULL);
}
for(i=0; i<num_user_threads; i++){
omp_thread_join(&omp_threads[i], NULL);
}
tt = read_timer()-tt;
printf("omp thread execution time:%f\n", tt);
// pthread_create
tt = read_timer();
for(i=0; i<num_user_threads; i++){
pthread_create(&pthreads[i], NULL, test_fun, &i);
}
for(i=0; i<num_user_threads; i++) {
pthread_join(pthreads[i], NULL);
}
tt = read_timer()-tt;
printf("pthread execution time:%f\n", tt);
// while(1);
}
|
tetrahedron_method.c | /* Copyright (C) 2014 Atsushi Togo */
/* All rights reserved. */
/* This file was originally part of spglib and is part of kspclib. */
/* Redistribution and use in source and binary forms, with or without */
/* modification, are permitted provided that the following conditions */
/* are met: */
/* * Redistributions of source code must retain the above copyright */
/* notice, this list of conditions and the following disclaimer. */
/* * Redistributions in binary form must reproduce the above copyright */
/* notice, this list of conditions and the following disclaimer in */
/* the documentation and/or other materials provided with the */
/* distribution. */
/* * Neither the name of the phonopy project nor the names of its */
/* contributors may be used to endorse or promote products derived */
/* from this software without specific prior written permission. */
/* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS */
/* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT */
/* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS */
/* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE */
/* COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, */
/* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, */
/* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; */
/* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER */
/* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT */
/* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN */
/* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE */
/* POSSIBILITY OF SUCH DAMAGE. */
/* tetrahedron_method.c */
/* Copyright (C) 2014 Atsushi Togo */
#include <stddef.h>
#include "kgrid.h"
#include "tetrahedron_method.h"
#ifdef THMWARNING
#include <stdio.h>
#define warning_print(...) fprintf(stderr,__VA_ARGS__)
#else
#define warning_print(...)
#endif
/* 6-------7 */
/* /| /| */
/* / | / | */
/* 4-------5 | */
/* | 2----|--3 */
/* | / | / */
/* |/ |/ */
/* 0-------1 */
/* */
/* i: vec neighbours */
/* 0: O 1, 2, 4 */
/* 1: a 0, 3, 5 */
/* 2: b 0, 3, 6 */
/* 3: a + b 1, 2, 7 */
/* 4: c 0, 5, 6 */
/* 5: c + a 1, 4, 7 */
/* 6: c + b 2, 4, 7 */
/* 7: c + a + b 3, 5, 6 */
static int main_diagonals[4][3] = {{ 1, 1, 1}, /* 0-7 */
{-1, 1, 1}, /* 1-6 */
{ 1,-1, 1}, /* 2-5 */
{ 1, 1,-1}}; /* 3-4 */
static int db_relative_grid_address[4][24][4][3] = {
{
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 1, 0}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 0, 1}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 1, 1, 0}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 1, 1}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 1, 0, 1}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 0, 1, 1}, { 1, 1, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 1, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 0, 1, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 0, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 1, 0, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, 1}, {-1, -1, 0}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, 1}, {-1, -1, 0}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 1, 0}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 1, 1, 0}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 0, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 0, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, -1, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, -1, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, -1}, { 0, -1, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, {-1, -1, -1}, { 0, -1, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, -1}, {-1, 0, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, {-1, -1, -1}, {-1, 0, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, -1, -1}, {-1, -1, 0}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, -1}, {-1, -1, 0}, {-1, 0, 0}, },
},
{
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 1, 0}, { 0, 1, 1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 0, 1}, { 0, 1, 1}, },
{ { 0, 0, 0}, {-1, 1, 0}, {-1, 1, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 0, 1}, {-1, 1, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 1, 0}, {-1, 1, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 1, 1}, { 0, 1, 1}, },
{ { 0, 0, 0}, {-1, 0, 1}, { 0, 0, 1}, {-1, 1, 1}, },
{ { 0, 0, 0}, { 0, 0, 1}, {-1, 1, 1}, { 0, 1, 1}, },
{ { 0, 0, 0}, { 0, 0, 1}, { 0, -1, 0}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 0, 1}, { 1, -1, 0}, },
{ { 0, 0, 0}, {-1, 0, 1}, { 0, -1, 0}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 0, 1}, { 0, 0, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 0, -1}, { 1, 0, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 1, 0}, { 1, 0, -1}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 0, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 1, 0}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, -1, -1}, { 1, -1, -1}, { 0, 0, -1}, },
{ { 0, 0, 0}, { 0, -1, -1}, { 1, -1, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 1, -1, -1}, { 0, 0, -1}, { 1, 0, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, -1, -1}, { 1, 0, -1}, },
{ { 0, 0, 0}, { 1, -1, -1}, { 0, -1, 0}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, -1, -1}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 0, -1, -1}, { 0, 0, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, -1, -1}, { 0, -1, 0}, {-1, 0, 0}, },
},
{
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 1, 0}, { 1, 0, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 0, 1}, { 1, 0, 1}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 0, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 1, 0}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 1, -1, 1}, { 0, -1, 0}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 0, -1, 1}, { 1, -1, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, -1, 1}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, -1, 1}, { 1, 0, 1}, },
{ { 0, 0, 0}, { 0, -1, 1}, { 1, -1, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 1, -1, 1}, { 0, 0, 1}, { 1, 0, 1}, },
{ { 0, 0, 0}, { 0, -1, 1}, { 0, -1, 0}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, -1, 1}, { 0, 0, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 0, -1}, { 0, 1, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 1, 0}, { 0, 1, -1}, },
{ { 0, 0, 0}, {-1, 0, -1}, { 0, 0, -1}, {-1, 1, -1}, },
{ { 0, 0, 0}, {-1, 0, -1}, {-1, 1, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 0, -1}, {-1, 1, -1}, { 0, 1, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 1, -1}, { 0, 1, -1}, },
{ { 0, 0, 0}, {-1, 1, 0}, {-1, 1, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, 1, 0}, { 0, 1, 0}, {-1, 1, -1}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 0, -1, 0}, { 1, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, 0, -1}, { 1, -1, 0}, },
{ { 0, 0, 0}, {-1, 0, -1}, { 0, 0, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, 0, -1}, { 0, -1, 0}, {-1, 0, 0}, },
},
{
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 1, 0}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 1, 1, 0}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 0, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 1, 0}, {-1, 0, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, -1, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 0, -1, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, {-1, -1, 1}, {-1, -1, 0}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, 1}, {-1, -1, 0}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, -1, 1}, { 0, -1, 1}, { 0, -1, 0}, },
{ { 0, 0, 0}, {-1, -1, 1}, {-1, 0, 1}, {-1, 0, 0}, },
{ { 0, 0, 0}, {-1, -1, 1}, { 0, -1, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, {-1, -1, 1}, {-1, 0, 1}, { 0, 0, 1}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 1, 0, -1}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 0, 1, -1}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 0, -1}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 1, -1}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 1, 0}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 1, 1, 0}, { 1, 1, -1}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 0, 1, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 1, 0}, { 0, 1, -1}, {-1, 0, 0}, },
{ { 0, 0, 0}, { 0, 0, -1}, { 1, 0, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 1, 0, 0}, { 1, 0, -1}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, -1}, {-1, -1, 0}, { 0, -1, 0}, },
{ { 0, 0, 0}, { 0, 0, -1}, {-1, -1, 0}, {-1, 0, 0}, },
},
};
static void
get_integration_weight_at_omegas(double *integration_weights,
const int num_omegas,
const double *omegas,
THMCONST double tetrahedra_omegas[24][4],
double (*gn)(const int,
const double,
const double[4]),
double (*IJ)(const int,
const int,
const double,
const double[4]));
static double
get_integration_weight(const double omega,
THMCONST double tetrahedra_omegas[24][4],
double (*gn)(const int,
const double,
const double[4]),
double (*IJ)(const int,
const int,
const double,
const double[4]));
static int get_main_diagonal(THMCONST double rec_lattice[3][3]);
static int sort_omegas(double v[4]);
static double norm_squared_d3(const double a[3]);
static void multiply_matrix_vector_di3(double v[3],
THMCONST double a[3][3],
const int b[3]);
static double _f(const int n,
const int m,
const double omega,
const double vertices_omegas[4]);
static double _J(const int i,
const int ci,
const double omega,
const double vertices_omegas[4]);
static double _I(const int i,
const int ci,
const double omega,
const double vertices_omegas[4]);
static double _n(const int i,
const double omega,
const double vertices_omegas[4]);
static double _g(const int i,
const double omega,
const double vertices_omegas[4]);
static double _n_0(void);
static double _n_1(const double omega,
const double vertices_omegas[4]);
static double _n_2(const double omega,
const double vertices_omegas[4]);
static double _n_3(const double omega,
const double vertices_omegas[4]);
static double _n_4(void);
static double _g_0(void);
static double _g_1(const double omega,
const double vertices_omegas[4]);
static double _g_2(const double omega,
const double vertices_omegas[4]);
static double _g_3(const double omega,
const double vertices_omegas[4]);
static double _g_4(void);
static double _J_0(void);
static double _J_10(const double omega,
const double vertices_omegas[4]);
static double _J_11(const double omega,
const double vertices_omegas[4]);
static double _J_12(const double omega,
const double vertices_omegas[4]);
static double _J_13(const double omega,
const double vertices_omegas[4]);
static double _J_20(const double omega,
const double vertices_omegas[4]);
static double _J_21(const double omega,
const double vertices_omegas[4]);
static double _J_22(const double omega,
const double vertices_omegas[4]);
static double _J_23(const double omega,
const double vertices_omegas[4]);
static double _J_30(const double omega,
const double vertices_omegas[4]);
static double _J_31(const double omega,
const double vertices_omegas[4]);
static double _J_32(const double omega,
const double vertices_omegas[4]);
static double _J_33(const double omega,
const double vertices_omegas[4]);
static double _J_4(void);
static double _I_0(void);
static double _I_10(const double omega,
const double vertices_omegas[4]);
static double _I_11(const double omega,
const double vertices_omegas[4]);
static double _I_12(const double omega,
const double vertices_omegas[4]);
static double _I_13(const double omega,
const double vertices_omegas[4]);
static double _I_20(const double omega,
const double vertices_omegas[4]);
static double _I_21(const double omega,
const double vertices_omegas[4]);
static double _I_22(const double omega,
const double vertices_omegas[4]);
static double _I_23(const double omega,
const double vertices_omegas[4]);
static double _I_30(const double omega,
const double vertices_omegas[4]);
static double _I_31(const double omega,
const double vertices_omegas[4]);
static double _I_32(const double omega,
const double vertices_omegas[4]);
static double _I_33(const double omega,
const double vertices_omegas[4]);
static double _I_4(void);
void thm_get_relative_grid_address(int relative_grid_address[24][4][3],
THMCONST double rec_lattice[3][3])
{
int i, j, k, main_diag_index;
main_diag_index = get_main_diagonal(rec_lattice);
for (i = 0; i < 24; i++) {
for (j = 0; j < 4; j++) {
for (k = 0; k < 3; k++) {
relative_grid_address[i][j][k] =
db_relative_grid_address[main_diag_index][i][j][k];
}
}
}
}
void thm_get_all_relative_grid_address(int relative_grid_address[4][24][4][3])
{
int i, j, k, main_diag_index;
for (main_diag_index = 0; main_diag_index < 4; main_diag_index++) {
for (i = 0; i < 24; i++) {
for (j = 0; j < 4; j++) {
for (k = 0; k < 3; k++) {
relative_grid_address[main_diag_index][i][j][k] =
db_relative_grid_address[main_diag_index][i][j][k];
}
}
}
}
}
double thm_get_integration_weight(const double omega,
THMCONST double tetrahedra_omegas[24][4],
const char function)
{
if (function == 'I') {
return get_integration_weight(omega,
tetrahedra_omegas,
_g, _I);
} else {
return get_integration_weight(omega,
tetrahedra_omegas,
_n, _J);
}
}
void
thm_get_integration_weight_at_omegas(double *integration_weights,
const int num_omegas,
const double *omegas,
THMCONST double tetrahedra_omegas[24][4],
const char function)
{
if (function == 'I') {
get_integration_weight_at_omegas(integration_weights,
num_omegas,
omegas,
tetrahedra_omegas,
_g, _I);
} else {
get_integration_weight_at_omegas(integration_weights,
num_omegas,
omegas,
tetrahedra_omegas,
_n, _J);
}
}
void thm_get_neighboring_grid_points(int neighboring_grid_points[],
const int grid_point,
THMCONST int relative_grid_address[][3],
const int num_relative_grid_address,
const int mesh[3],
THMCONST int bz_grid_address[][3],
const int bz_map[])
{
int bzmesh[3], address_double[3], bz_address_double[3];
int i, j, bz_gp;
for (i = 0; i < 3; i++) {
bzmesh[i] = mesh[i] * 2;
}
for (i = 0; i < num_relative_grid_address; i++) {
for (j = 0; j < 3; j++) {
address_double[j] = (bz_grid_address[grid_point][j] +
relative_grid_address[i][j]) * 2;
bz_address_double[j] = address_double[j];
}
bz_gp = bz_map[kgd_get_grid_point_double_mesh(bz_address_double, bzmesh)];
if (bz_gp == -1) {
neighboring_grid_points[i] =
kgd_get_grid_point_double_mesh(address_double, mesh);
} else {
neighboring_grid_points[i] = bz_gp;
}
}
}
void
thm_get_dense_neighboring_grid_points(size_t neighboring_grid_points[],
const size_t grid_point,
THMCONST int relative_grid_address[][3],
const int num_relative_grid_address,
const int mesh[3],
THMCONST int bz_grid_address[][3],
const size_t bz_map[])
{
int bzmesh[3], address_double[3], bz_address_double[3];
int i;
size_t j, bz_gp, prod_bz_mesh;
prod_bz_mesh = 1;
for (i = 0; i < 3; i++) {
bzmesh[i] = mesh[i] * 2;
prod_bz_mesh *= bzmesh[i];
}
for (i = 0; i < num_relative_grid_address; i++) {
for (j = 0; j < 3; j++) {
address_double[j] = (bz_grid_address[grid_point][j] +
relative_grid_address[i][j]) * 2;
bz_address_double[j] = address_double[j];
}
bz_gp = bz_map[kgd_get_dense_grid_point_double_mesh(bz_address_double, bzmesh)];
if (bz_gp == prod_bz_mesh) {
neighboring_grid_points[i] =
kgd_get_dense_grid_point_double_mesh(address_double, mesh);
} else {
neighboring_grid_points[i] = bz_gp;
}
}
}
static void
get_integration_weight_at_omegas(double *integration_weights,
const int num_omegas,
const double *omegas,
THMCONST double tetrahedra_omegas[24][4],
double (*gn)(const int,
const double,
const double[4]),
double (*IJ)(const int,
const int,
const double,
const double[4]))
{
int i;
#pragma omp parallel for
for (i = 0; i < num_omegas; i++) {
integration_weights[i] = get_integration_weight(omegas[i],
tetrahedra_omegas,
gn, IJ);
}
}
static double
get_integration_weight(const double omega,
THMCONST double tetrahedra_omegas[24][4],
double (*gn)(const int,
const double,
const double[4]),
double (*IJ)(const int,
const int,
const double,
const double[4]))
{
int i, j, ci;
double sum;
double v[4];
sum = 0;
for (i = 0; i < 24; i++) {
for (j = 0; j < 4; j++) {
v[j] = tetrahedra_omegas[i][j];
}
ci = sort_omegas(v);
if (omega < v[0]) {
sum += IJ(0, ci, omega, v) * gn(0, omega, v);
} else {
if (v[0] < omega && omega < v[1]) {
sum += IJ(1, ci, omega, v) * gn(1, omega, v);
} else {
if (v[1] < omega && omega < v[2]) {
sum += IJ(2, ci, omega, v) * gn(2, omega, v);
} else {
if (v[2] < omega && omega < v[3]) {
sum += IJ(3, ci, omega, v) * gn(3, omega, v);
} else {
if (v[3] < omega) {
sum += IJ(4, ci, omega, v) * gn(4, omega, v);
}
}
}
}
}
}
return sum / 6;
}
static int sort_omegas(double v[4])
{
int i;
double w[4];
i = 0;
if (v[0] > v[1]) {
w[0] = v[1];
w[1] = v[0];
i = 1;
} else {
w[0] = v[0];
w[1] = v[1];
}
if (v[2] > v[3]) {
w[2] = v[3];
w[3] = v[2];
} else {
w[2] = v[2];
w[3] = v[3];
}
if (w[0] > w[2]) {
v[0] = w[2];
v[1] = w[0];
if (i == 0) {
i = 4;
}
} else {
v[0] = w[0];
v[1] = w[2];
}
if (w[1] > w[3]) {
v[3] = w[1];
v[2] = w[3];
if (i == 1) {
i = 3;
}
} else {
v[3] = w[3];
v[2] = w[1];
if (i == 1) {
i = 5;
}
}
if (v[1] > v[2]) {
w[1] = v[1];
v[1] = v[2];
v[2] = w[1];
if (i == 4) {
i = 2;
}
if (i == 5) {
i = 1;
}
} else {
if (i == 4) {
i = 1;
}
if (i == 5) {
i = 2;
}
}
return i;
}
static int get_main_diagonal(THMCONST double rec_lattice[3][3])
{
int i, shortest;
double length, min_length;
double main_diag[3];
shortest = 0;
multiply_matrix_vector_di3(main_diag, rec_lattice, main_diagonals[0]);
min_length = norm_squared_d3(main_diag);
for (i = 1; i < 4; i++) {
multiply_matrix_vector_di3(main_diag, rec_lattice, main_diagonals[i]);
length = norm_squared_d3(main_diag);
if (min_length > length) {
min_length = length;
shortest = i;
}
}
return shortest;
}
static double norm_squared_d3(const double a[3])
{
return a[0] * a[0] + a[1] * a[1] + a[2] * a[2];
}
static void multiply_matrix_vector_di3(double v[3],
THMCONST double a[3][3],
const int b[3])
{
int i;
double c[3];
for (i = 0; i < 3; i++) {
c[i] = a[i][0] * b[0] + a[i][1] * b[1] + a[i][2] * b[2];
}
for (i = 0; i < 3; i++) {
v[i] = c[i];
}
}
static double _f(const int n,
const int m,
const double omega,
const double vertices_omegas[4])
{
return ((omega - vertices_omegas[m]) /
(vertices_omegas[n] - vertices_omegas[m]));
}
static double _J(const int i,
const int ci,
const double omega,
const double vertices_omegas[4])
{
switch (i) {
case 0:
return _J_0();
case 1:
switch (ci) {
case 0:
return _J_10(omega, vertices_omegas);
case 1:
return _J_11(omega, vertices_omegas);
case 2:
return _J_12(omega, vertices_omegas);
case 3:
return _J_13(omega, vertices_omegas);
}
case 2:
switch (ci) {
case 0:
return _J_20(omega, vertices_omegas);
case 1:
return _J_21(omega, vertices_omegas);
case 2:
return _J_22(omega, vertices_omegas);
case 3:
return _J_23(omega, vertices_omegas);
}
case 3:
switch (ci) {
case 0:
return _J_30(omega, vertices_omegas);
case 1:
return _J_31(omega, vertices_omegas);
case 2:
return _J_32(omega, vertices_omegas);
case 3:
return _J_33(omega, vertices_omegas);
}
case 4:
return _J_4();
}
warning_print("******* Warning *******\n");
warning_print(" J is something wrong. \n");
warning_print("******* Warning *******\n");
warning_print("(line %d, %s).\n", __LINE__, __FILE__);
return 0;
}
static double _I(const int i,
const int ci,
const double omega,
const double vertices_omegas[4])
{
switch (i) {
case 0:
return _I_0();
case 1:
switch (ci) {
case 0:
return _I_10(omega, vertices_omegas);
case 1:
return _I_11(omega, vertices_omegas);
case 2:
return _I_12(omega, vertices_omegas);
case 3:
return _I_13(omega, vertices_omegas);
}
case 2:
switch (ci) {
case 0:
return _I_20(omega, vertices_omegas);
case 1:
return _I_21(omega, vertices_omegas);
case 2:
return _I_22(omega, vertices_omegas);
case 3:
return _I_23(omega, vertices_omegas);
}
case 3:
switch (ci) {
case 0:
return _I_30(omega, vertices_omegas);
case 1:
return _I_31(omega, vertices_omegas);
case 2:
return _I_32(omega, vertices_omegas);
case 3:
return _I_33(omega, vertices_omegas);
}
case 4:
return _I_4();
}
warning_print("******* Warning *******\n");
warning_print(" I is something wrong. \n");
warning_print("******* Warning *******\n");
warning_print("(line %d, %s).\n", __LINE__, __FILE__);
return 0;
}
static double _n(const int i,
const double omega,
const double vertices_omegas[4])
{
switch (i) {
case 0:
return _n_0();
case 1:
return _n_1(omega, vertices_omegas);
case 2:
return _n_2(omega, vertices_omegas);
case 3:
return _n_3(omega, vertices_omegas);
case 4:
return _n_4();
}
warning_print("******* Warning *******\n");
warning_print(" n is something wrong. \n");
warning_print("******* Warning *******\n");
warning_print("(line %d, %s).\n", __LINE__, __FILE__);
return 0;
}
static double _g(const int i,
const double omega,
const double vertices_omegas[4])
{
switch (i) {
case 0:
return _g_0();
case 1:
return _g_1(omega, vertices_omegas);
case 2:
return _g_2(omega, vertices_omegas);
case 3:
return _g_3(omega, vertices_omegas);
case 4:
return _g_4();
}
warning_print("******* Warning *******\n");
warning_print(" g is something wrong. \n");
warning_print("******* Warning *******\n");
warning_print("(line %d, %s).\n", __LINE__, __FILE__);
return 0;
}
/* omega < omega1 */
static double _n_0(void)
{
return 0.0;
}
/* omega1 < omega < omega2 */
static double _n_1(const double omega,
const double vertices_omegas[4])
{
return (_f(1, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(3, 0, omega, vertices_omegas));
}
/* omega2 < omega < omega3 */
static double _n_2(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas));
}
/* omega2 < omega < omega3 */
static double _n_3(const double omega,
const double vertices_omegas[4])
{
return (1.0 -
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas));
}
/* omega4 < omega */
static double _n_4(void)
{
return 1.0;
}
/* omega < omega1 */
static double _g_0(void)
{
return 0.0;
}
/* omega1 < omega < omega2 */
static double _g_1(const double omega,
const double vertices_omegas[4])
{
return (3 *
_f(1, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) /
(vertices_omegas[3] - vertices_omegas[0]));
}
/* omega2 < omega < omega3 */
static double _g_2(const double omega,
const double vertices_omegas[4])
{
return (3 /
(vertices_omegas[3] - vertices_omegas[0]) *
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas)));
}
/* omega3 < omega < omega4 */
static double _g_3(const double omega,
const double vertices_omegas[4])
{
return (3 *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas) /
(vertices_omegas[3] - vertices_omegas[0]));
}
/* omega4 < omega */
static double _g_4(void)
{
return 0.0;
}
static double _J_0(void)
{
return 0.0;
}
static double _J_10(const double omega,
const double vertices_omegas[4])
{
return (1.0 +
_f(0, 1, omega, vertices_omegas) +
_f(0, 2, omega, vertices_omegas) +
_f(0, 3, omega, vertices_omegas)) / 4;
}
static double _J_11(const double omega,
const double vertices_omegas[4])
{
return _f(1, 0, omega, vertices_omegas) / 4;
}
static double _J_12(const double omega,
const double vertices_omegas[4])
{
return _f(2, 0, omega, vertices_omegas) / 4;
}
static double _J_13(const double omega,
const double vertices_omegas[4])
{
return _f(3, 0, omega, vertices_omegas) / 4;
}
static double _J_20(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
(1.0 +
_f(0, 3, omega, vertices_omegas)) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) *
(1.0 +
_f(0, 3, omega, vertices_omegas) +
_f(0, 2, omega, vertices_omegas))) / 4 / _n_2(omega, vertices_omegas);
}
static double _J_21(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
(1.0 +
_f(1, 3, omega, vertices_omegas) +
_f(1, 2, omega, vertices_omegas)) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
(_f(1, 3, omega, vertices_omegas) +
_f(1, 2, omega, vertices_omegas)) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas)) / 4 / _n_2(omega, vertices_omegas);
}
static double _J_22(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) *
(_f(2, 1, omega, vertices_omegas) +
_f(2, 0, omega, vertices_omegas))) / 4 / _n_2(omega, vertices_omegas);
}
static double _J_23(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 1, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
_f(3, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) *
(_f(3, 1, omega, vertices_omegas) +
_f(3, 0, omega, vertices_omegas)) +
_f(3, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) *
_f(3, 0, omega, vertices_omegas)) / 4 / _n_2(omega, vertices_omegas);
}
static double _J_30(const double omega,
const double vertices_omegas[4])
{
return (1.0 -
_f(0, 3, omega, vertices_omegas) *
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas)) / 4 / _n_3(omega, vertices_omegas);
}
static double _J_31(const double omega,
const double vertices_omegas[4])
{
return (1.0 -
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas)) / 4 / _n_3(omega, vertices_omegas);
}
static double _J_32(const double omega,
const double vertices_omegas[4])
{
return (1.0 +
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas)) / 4 / _n_3(omega, vertices_omegas);
}
static double _J_33(const double omega,
const double vertices_omegas[4])
{
return (1.0 -
_f(0, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 3, omega, vertices_omegas) *
(1.0 +
_f(3, 0, omega, vertices_omegas) +
_f(3, 1, omega, vertices_omegas) +
_f(3, 2, omega, vertices_omegas))) / 4 / _n_3(omega, vertices_omegas);
}
static double _J_4(void)
{
return 0.25;
}
static double _I_0(void)
{
return 0.0;
}
static double _I_10(const double omega,
const double vertices_omegas[4])
{
return (_f(0, 1, omega, vertices_omegas) +
_f(0, 2, omega, vertices_omegas) +
_f(0, 3, omega, vertices_omegas)) / 3;
}
static double _I_11(const double omega,
const double vertices_omegas[4])
{
return _f(1, 0, omega, vertices_omegas) / 3;
}
static double _I_12(const double omega,
const double vertices_omegas[4])
{
return _f(2, 0, omega, vertices_omegas) / 3;
}
static double _I_13(const double omega,
const double vertices_omegas[4])
{
return _f(3, 0, omega, vertices_omegas) / 3;
}
static double _I_20(const double omega,
const double vertices_omegas[4])
{
return (_f(0, 3, omega, vertices_omegas) +
_f(0, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) /
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas))) / 3;
}
static double _I_21(const double omega,
const double vertices_omegas[4])
{
return (_f(1, 2, omega, vertices_omegas) +
_f(1, 3, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) /
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas))) / 3;
}
static double _I_22(const double omega,
const double vertices_omegas[4])
{
return (_f(2, 1, omega, vertices_omegas) +
_f(2, 0, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) *
_f(1, 2, omega, vertices_omegas) /
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas))) / 3;
}
static double _I_23(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 0, omega, vertices_omegas) +
_f(3, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas) *
_f(2, 1, omega, vertices_omegas) /
(_f(1, 2, omega, vertices_omegas) *
_f(2, 0, omega, vertices_omegas) +
_f(2, 1, omega, vertices_omegas) *
_f(1, 3, omega, vertices_omegas))) / 3;
}
static double _I_30(const double omega,
const double vertices_omegas[4])
{
return _f(0, 3, omega, vertices_omegas) / 3;
}
static double _I_31(const double omega,
const double vertices_omegas[4])
{
return _f(1, 3, omega, vertices_omegas) / 3;
}
static double _I_32(const double omega,
const double vertices_omegas[4])
{
return _f(2, 3, omega, vertices_omegas) / 3;
}
static double _I_33(const double omega,
const double vertices_omegas[4])
{
return (_f(3, 0, omega, vertices_omegas) +
_f(3, 1, omega, vertices_omegas) +
_f(3, 2, omega, vertices_omegas)) / 3;
}
static double _I_4(void)
{
return 0.0;
}
|
3d7pt_var.c | /*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 4;
tile_size[1] = 4;
tile_size[2] = 4;
tile_size[3] = 512;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt-1; t++) {
for (i = 1; i < Nz-1; i++) {
for (j = 1; j < Ny-1; j++) {
for (k = 1; k < Nx-1; k++) {
A[(t+1)%2][i][j][k] = coef[0][i][j][k] * A[t%2][i ][j ][k ] +
coef[1][i][j][k] * A[t%2][i-1][j ][k ] +
coef[2][i][j][k] * A[t%2][i ][j-1][k ] +
coef[3][i][j][k] * A[t%2][i ][j ][k-1] +
coef[4][i][j][k] * A[t%2][i+1][j ][k ] +
coef[5][i][j][k] * A[t%2][i ][j+1][k ] +
coef[6][i][j][k] * A[t%2][i ][j ][k+1];
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
rose_jacobi_avx2.c | #include "rex_kmp.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <sys/timeb.h>
#include <malloc.h>
#include <immintrin.h>
#include <immintrin.h>
#define REAL float
static double read_timer_ms()
{
struct timeb tm;
ftime(&tm);
return ((double )tm . time) * 1000.0 + ((double )tm . millitm);
}
/************************************************************
* program to solve a finite difference
* discretization of Helmholtz equation :
* (d2/dx2)u + (d2/dy2)u - alpha u = f
* using Jacobi iterative method.
*
* Modified: Sanjiv Shah, Kuck and Associates, Inc. (KAI), 1998
* Author: Joseph Robicheaux, Kuck and Associates, Inc. (KAI), 1998
*
* This c version program is translated by
* Chunhua Liao, University of Houston, Jan, 2005
*
* Directives are used in this code to achieve parallelism.
* All do loops are parallelized with default 'static' scheduling.
*
* Input : n - grid dimension in x direction
* m - grid dimension in y direction
* alpha - Helmholtz constant (always greater than 0.0)
* tol - error tolerance for iterative solver
* relax - Successice over relaxation parameter
* mits - Maximum iterations for iterative solver
*
* On output
* : u(n,m) - Dependent variable (solutions)
* : f(n,m) - Right hand side function
*************************************************************/
#define DEFAULT_DIMSIZE 256
void print_array(char *title,char *name,float *A,int n,int m)
{
printf("%s:\n",title);
int i;
int j;
for (i = 0; i < n; i++) {
for (j = 0; j < m; j++) {
printf("%s[%d][%d]:%f ",name,i,j,A[i * m + j]);
}
printf("\n");
}
printf("\n");
}
/* subroutine initialize (n,m,alpha,dx,dy,u,f)
******************************************************
* Initializes data
* Assumes exact solution is u(x,y) = (1-x^2)*(1-y^2)
*
******************************************************/
void initialize(int n,int m,float alpha,float *dx,float *dy,float *u_p,float *f_p)
{
int i;
int j;
int xx;
int yy;
float (*u)[m] = ((float (*)[m])u_p);
float (*f)[m] = ((float (*)[m])f_p);
//double PI=3.1415926;
*dx = (2.0 / (n - 1));
*dy = (2.0 / (m - 1));
/* Initialize initial condition and RHS */
//#pragma omp parallel for private(xx,yy,j,i)
for (i = 0; i < n; i++)
for (j = 0; j < m; j++) {
xx = ((int )(- 1.0 + ( *dx * (i - 1))));
yy = ((int )(- 1.0 + ( *dy * (j - 1))));
u[i][j] = 0.0;
f[i][j] = (- 1.0 * alpha * (1.0 - (xx * xx)) * (1.0 - (yy * yy)) - 2.0 * (1.0 - (xx * xx)) - 2.0 * (1.0 - (yy * yy)));
}
}
/* subroutine error_check (n,m,alpha,dx,dy,u,f)
implicit none
************************************************************
* Checks error between numerical and exact solution
*
************************************************************/
void error_check(int n,int m,float alpha,float dx,float dy,float *u_p,float *f_p)
{
int i;
int j;
float xx;
float yy;
float temp;
float error;
error = 0.0;
float (*u)[m] = ((float (*)[m])u_p);
float (*f)[m] = ((float (*)[m])f_p);
//#pragma omp parallel for private(xx,yy,temp,j,i) reduction(+:error)
for (i = 0; i < n; i++)
for (j = 0; j < m; j++) {
xx = (- 1.0 + (dx * (i - 1)));
yy = (- 1.0 + (dy * (j - 1)));
temp = (u[i][j] - (1.0 - (xx * xx)) * (1.0 - (yy * yy)));
error = error + temp * temp;
}
error = (sqrt(error) / (n * m));
printf("Solution Error: %2.6g\n",error);
}
void jacobi_seq(int n,int m,float dx,float dy,float alpha,float relax,float *u_p,float *f_p,float tol,int mits);
void jacobi_omp(int n,int m,float dx,float dy,float alpha,float relax,float *u_p,float *f_p,float tol,int mits);
int main(int argc,char *argv[])
{
int status = 0;
int n = 256;
int m = 256;
float alpha = 0.0543;
float tol = 0.0000000001;
float relax = 1.0;
int mits = 5000;
/*fprintf(stderr, "Usage: jacobi [<n> <m> <alpha> <tol> <relax> <mits>]\n");
fprintf(stderr, "\tn - grid dimension in x direction, default: %d\n", n);
fprintf(stderr, "\tm - grid dimension in y direction, default: n if provided or %d\n", m);
fprintf(stderr, "\talpha - Helmholtz constant (always greater than 0.0), default: %g\n", alpha);
fprintf(stderr, "\ttol - error tolerance for iterative solver, default: %g\n", tol);
fprintf(stderr, "\trelax - Successice over relaxation parameter, default: %g\n", relax);
fprintf(stderr, "\tmits - Maximum iterations for iterative solver, default: %d\n", mits);*/
if (argc == 2) {
sscanf(argv[1],"%d",&n);
m = n;
}
else if (argc == 3) {
sscanf(argv[1],"%d",&n);
sscanf(argv[2],"%d",&m);
}
else if (argc == 4) {
sscanf(argv[1],"%d",&n);
sscanf(argv[2],"%d",&m);
sscanf(argv[3],"%g",&alpha);
}
else if (argc == 5) {
sscanf(argv[1],"%d",&n);
sscanf(argv[2],"%d",&m);
sscanf(argv[3],"%g",&alpha);
sscanf(argv[4],"%g",&tol);
}
else if (argc == 6) {
sscanf(argv[1],"%d",&n);
sscanf(argv[2],"%d",&m);
sscanf(argv[3],"%g",&alpha);
sscanf(argv[4],"%g",&tol);
sscanf(argv[5],"%g",&relax);
}
else if (argc == 7) {
sscanf(argv[1],"%d",&n);
sscanf(argv[2],"%d",&m);
sscanf(argv[3],"%g",&alpha);
sscanf(argv[4],"%g",&tol);
sscanf(argv[5],"%g",&relax);
sscanf(argv[6],"%d",&mits);
}
else {
/* the rest of arg ignored */
}
printf("jacobi %d %d %g %g %g %d\n",n,m,alpha,tol,relax,mits);
printf("------------------------------------------------------------------------------------------------------\n");
/** init the array */
float *u = (float *)(malloc(sizeof(float ) * n * m));
float *uomp = (float *)(malloc(sizeof(float ) * n * m));
float *f = (float *)(malloc(sizeof(float ) * n * m));
float dx;
/* grid spacing in x direction */
float dy;
/* grid spacing in y direction */
initialize(n,m,alpha,&dx,&dy,u,f);
memcpy(uomp,u,sizeof(float ) * n * m);
double elapsed = read_timer_ms();
jacobi_seq(n,m,dx,dy,alpha,relax,u,f,tol,mits);
elapsed = read_timer_ms() - elapsed;
printf("seq elasped time(ms): %4f\n",elapsed);
double mflops = 0.001 * mits * (n - 2) * (m - 2) * 13 / elapsed;
printf("MFLOPS: %12.6g\n",mflops);
puts("================");
elapsed = read_timer_ms();
jacobi_omp(n,m,dx,dy,alpha,relax,uomp,f,tol,mits);
elapsed = read_timer_ms() - elapsed;
printf("OpenMP elasped time(ms): %4f\n",elapsed);
mflops = 0.001 * mits * (n - 2) * (m - 2) * 13 / elapsed;
printf("MFLOPS: %12.6g\n",mflops);
//print_array("Sequential Run", "u",(REAL*)u, n, m);
error_check(n,m,alpha,dx,dy,u,f);
free(u);
free(f);
free(uomp);
return 0;
}
/* subroutine jacobi (n,m,dx,dy,alpha,omega,u,f,tol,mits)
******************************************************************
* Subroutine HelmholtzJ
* Solves poisson equation on rectangular grid assuming :
* (1) Uniform discretization in each direction, and
* (2) Dirichlect boundary conditions
*
* Jacobi method is used in this routine
*
* Input : n,m Number of grid points in the X/Y directions
* dx,dy Grid spacing in the X/Y directions
* alpha Helmholtz eqn. coefficient
* omega Relaxation factor
* f(n,m) Right hand side function
* u(n,m) Dependent variable/Solution
* tol Tolerance for iterative solver
* mits Maximum number of iterations
*
* Output : u(n,m) - Solution
*****************************************************************/
void jacobi_seq(int n,int m,float dx,float dy,float alpha,float omega,float *u_p,float *f_p,float tol,int mits)
{
int i;
int j;
int k;
float error;
float ax;
float ay;
float b;
float resid;
float uold[n][m];
float (*u)[m] = ((float (*)[m])u_p);
float (*f)[m] = ((float (*)[m])f_p);
/*
* Initialize coefficients */
/* X-direction coef */
ax = (1.0 / (dx * dx));
/* Y-direction coef */
ay = (1.0 / (dy * dy));
/* Central coeff */
b = (- 2.0 / (dx * dx) - 2.0 / (dy * dy) - alpha);
error = (10.0 * tol);
k = 1;
while(k <= mits && error > tol){
error = 0.0;
/* Copy new solution into old */
for (i = 0; i < n; i++)
for (j = 0; j < m; j++)
uold[i][j] = u[i][j];
for (i = 1; i < n - 1; i++)
for (j = 1; j < m - 1; j++) {
resid = (ax * (uold[i - 1][j] + uold[i + 1][j]) + ay * (uold[i][j - 1] + uold[i][j + 1]) + b * uold[i][j] - f[i][j]) / b;
//printf("i: %d, j: %d, resid: %f\n", i, j, resid);
u[i][j] = uold[i][j] - omega * resid;
error = error + resid * resid;
}
/* Error check */
//if (k % 500 == 0)
// printf("Finished %d iteration with error: %g\n", k, error);
error = (sqrt(error) / (n * m));
k = k + 1;
/* End iteration loop */
}
printf("Total Number of Iterations: %d\n",k);
printf("Residual: %.15g\n",error);
}
void jacobi_omp(int n,int m,float dx,float dy,float alpha,float omega,float *u_p,float *f_p,float tol,int mits)
{
int i;
int j;
int k;
float error;
float ax;
float ay;
float b;
float resid;
float *tmp = (float *)(malloc(sizeof(float ) * n * m));
float (*uold)[m] = ((float (*)[m])tmp);
float (*u)[m] = ((float (*)[m])u_p);
float (*f)[m] = ((float (*)[m])f_p);
/*
* Initialize coefficients */
/* X-direction coef */
ax = (1.0 / (dx * dx));
/* Y-direction coef */
ay = (1.0 / (dy * dy));
/* Central coeff */
b = (- 2.0 / (dx * dx) - 2.0 / (dy * dy) - alpha);
error = (10.0 * tol);
k = 1;
while(k <= mits && error > tol){
error = 0.0;
//printf("===================== iteration %d ===========================\n", k);
/* Copy new solution into old */
for (i = 0; i < n; i++) {
for (j = 0; j <= m - 1; j += 8) {
float *__ptr39 = uold[i];
float *__ptr40 = u[i];
__m256 __vec41 = _mm256_loadu_ps(&__ptr40[j]);
_mm256_storeu_ps(&__ptr39[j],__vec41);
}
}
for (i = 1; i < n - 1; i++) {
__m256 __vec0 = _mm256_set1_ps(ax);
__m256 __vec7 = _mm256_set1_ps(ay);
__m256 __vec15 = _mm256_set1_ps(b);
__m256 __vec23 = _mm256_set1_ps(b);
__m256 __part25 = _mm256_setzero_ps();
__m256 __vec29 = _mm256_set1_ps(omega);
__m256 __vec30 = _mm256_set1_ps(resid);
__m256 __vec33 = _mm256_set1_ps(error);
__m256 __vec34 = _mm256_set1_ps(resid);
__m256 __vec35 = _mm256_set1_ps(resid);
__m256 __part38 = _mm256_setzero_ps();
for (j = 1; j <= m - 1 - 1; j += 8) {
float *__ptr1 = uold[i - 1];
__m256 __vec2 = _mm256_loadu_ps(&__ptr1[j]);
float *__ptr3 = uold[i + 1];
__m256 __vec4 = _mm256_loadu_ps(&__ptr3[j]);
__m256 __vec5 = _mm256_add_ps(__vec4,__vec2);
__m256 __vec6 = _mm256_mul_ps(__vec5,__vec0);
float *__ptr8 = uold[i];
__m256 __vec9 = _mm256_loadu_ps(&__ptr8[j - 1]);
float *__ptr10 = uold[i];
__m256 __vec11 = _mm256_loadu_ps(&__ptr10[j + 1]);
__m256 __vec12 = _mm256_add_ps(__vec11,__vec9);
__m256 __vec13 = _mm256_mul_ps(__vec12,__vec7);
__m256 __vec14 = _mm256_add_ps(__vec13,__vec6);
float *__ptr16 = uold[i];
__m256 __vec17 = _mm256_loadu_ps(&__ptr16[j]);
__m256 __vec18 = _mm256_mul_ps(__vec17,__vec15);
__m256 __vec19 = _mm256_add_ps(__vec18,__vec14);
float *__ptr20 = f[i];
__m256 __vec21 = _mm256_loadu_ps(&__ptr20[j]);
__m256 __vec22 = _mm256_sub_ps(__vec21,__vec19);
__m256 __vec24 = _mm256_div_ps(__vec23,__vec22);
__part25 = _mm256_add_ps(__part25,__vec24);
float *__ptr26 = u[i];
float *__ptr27 = uold[i];
__m256 __vec28 = _mm256_loadu_ps(&__ptr27[j]);
__m256 __vec31 = _mm256_mul_ps(__vec30,__vec29);
__m256 __vec32 = _mm256_sub_ps(__vec31,__vec28);
_mm256_storeu_ps(&__ptr26[j],__vec32);
__m256 __vec36 = _mm256_mul_ps(__vec35,__vec34);
__m256 __vec37 = _mm256_add_ps(__vec36,__vec33);
__part38 = _mm256_add_ps(__part38,__vec37);
}
__m256 __buf4 = __part38;
__buf4 = _mm256_hadd_ps(__buf4,__buf4);
__buf4 = _mm256_hadd_ps(__buf4,__buf4);
float __buf5[8];
_mm256_storeu_ps(&__buf5,__buf4);
error = __buf5[0] + __buf5[6];
__m256 __buf1 = __part25;
__buf1 = _mm256_hadd_ps(__buf1,__buf1);
__buf1 = _mm256_hadd_ps(__buf1,__buf1);
float __buf2[8];
_mm256_storeu_ps(&__buf2,__buf1);
resid = __buf2[0] + __buf2[6];
}
/* Error check */
//if (k % 500 == 0)
// printf("Finished %d iteration with error: %g\n", k, error);
error = (sqrt(error) / (n * m));
k = k + 1;
/* End iteration loop */
}
printf("Total Number of Iterations: %d\n",k);
printf("Residual: %.15g\n",error);
free(tmp);
}
|
delete.c | #include <omp.h>
int main ()
{
int x = 0;
int i;
#pragma omp parallel
{
if(x){
i = 1;
} else {
i = 0;
}
}
}
|
core_single_cpu.c | /* -*- mode: C; tab-width: 2; indent-tabs-mode: nil; -*- */
/*
* This code has been contributed by the DARPA HPCS program. Contact
* David Koester <dkoester@mitre.org> or Bob Lucas <rflucas@isi.edu>
* if you have questions.
*
* GUPS (Giga UPdates per Second) is a measurement that profiles the memory
* architecture of a system and is a measure of performance similar to MFLOPS.
* The HPCS HPCchallenge RandomAccess benchmark is intended to exercise the
* GUPS capability of a system, much like the LINPACK benchmark is intended to
* exercise the MFLOPS capability of a computer. In each case, we would
* expect these benchmarks to achieve close to the "peak" capability of the
* memory system. The extent of the similarities between RandomAccess and
* LINPACK are limited to both benchmarks attempting to calculate a peak system
* capability.
*
* GUPS is calculated by identifying the number of memory locations that can be
* randomly updated in one second, divided by 1 billion (1e9). The term "randomly"
* means that there is little relationship between one address to be updated and
* the next, except that they occur in the space of one half the total system
* memory. An update is a read-modify-write operation on a table of 64-bit words.
* An address is generated, the value at that address read from memory, modified
* by an integer operation (add, and, or, xor) with a literal value, and that
* new value is written back to memory.
*
* We are interested in knowing the GUPS performance of both entire systems and
* system subcomponents --- e.g., the GUPS rating of a distributed memory
* multiprocessor the GUPS rating of an SMP node, and the GUPS rating of a
* single processor. While there is typically a scaling of FLOPS with processor
* count, a similar phenomenon may not always occur for GUPS.
*
* For additional information on the GUPS metric, the HPCchallenge RandomAccess
* Benchmark,and the rules to run RandomAccess or modify it to optimize
* performance -- see http://icl.cs.utk.edu/hpcc/
*
*/
/*
* This file contains the computational core of the single cpu version
* of GUPS. The inner loop should easily be vectorized by compilers
* with such support.
*
* This core is used by both the single_cpu and star_single_cpu tests.
*/
#include <stdio.h>
#ifdef BARRELFISH
#include <barrelfish/barrelfish.h>
#endif
#include "RandomAccess.h"
/* Number of updates to table (suggested: 4x number of table entries) */
#define NUPDATE (4 * TableSize)
/* Utility routine to start random number generator at Nth step */
static uint64_t HPCC_starts(int64_t n)
{
int i, j;
uint64_t m2[64];
uint64_t temp, ran;
while (n < 0)
n += PERIOD;
while (n > PERIOD)
n -= PERIOD;
if (n == 0)
return 0x1;
temp = 0x1;
for (i = 0; i < 64; i++) {
m2[i] = temp;
temp = (temp << 1) ^ ((int64_t) temp < 0 ? POLY : 0);
temp = (temp << 1) ^ ((int64_t) temp < 0 ? POLY : 0);
}
for (i = 62; i >= 0; i--)
if ((n >> i) & 1)
break;
ran = 0x2;
while (i > 0) {
temp = 0;
for (j = 0; j < 64; j++)
if ((ran >> j) & 1)
temp ^= m2[j];
ran = temp;
i -= 1;
if ((n >> i) & 1)
ran = (ran << 1) ^ ((int64_t) ran < 0 ? POLY : 0);
}
return ran;
}
static void RandomAccessUpdate(uint64_t TableSize, uint64_t *Table)
{
uint64_t i;
uint64_t ran[128]; /* Current random numbers */
int j;
/* Perform updates to main table. The scalar equivalent is:
*
* uint64_t ran;
* ran = 1;
* for (i=0; i<NUPDATE; i++) {
* ran = (ran << 1) ^ (((int64_t) ran < 0) ? POLY : 0);
* table[ran & (TableSize-1)] ^= ran;
* }
*/
for (j = 0; j < 128; j++)
ran[j] = HPCC_starts((NUPDATE / 128) * j);
for (i = 0; i < NUPDATE / 128; i++) {
/* #pragma ivdep */
#ifdef _OPENMP
#pragma omp parallel for
#endif
for (j = 0; j < 128; j++) {
ran[j] = (ran[j] << 1) ^ ((int64_t) ran[j] < 0 ? POLY : 0);
Table[ran[j] & (TableSize - 1)] ^= ran[j];
}
}
}
int HPCC_RandomAccess(HPCC_Params *params, int doIO, double *GUPs, int *failure)
{
uint64_t i;
uint64_t temp;
double totalMem;
uint64_t *Table;
uint64_t logTableSize, TableSize;
/* calculate local memory per node for the update table */
totalMem = params->HPLMaxProcMem;
totalMem /= sizeof(uint64_t);
/* calculate the size of update array (must be a power of 2) */
for (totalMem *= 0.5, logTableSize = 0, TableSize = 1; totalMem >= 1.0;
totalMem *= 0.5, logTableSize++, TableSize <<= 1)
; /* EMPTY */
Table = HPCC_malloc(sizeof(uint64_t) * TableSize, params->TableAlignment);
if (!Table) {
printf("could not allocate table");
return 1;
}
params->RandomAccess_N = (int64_t) TableSize;
/* Print parameters for run */
printf("# GUPS: Main table (@%p)size = 2^%" PRIu64 " = %" PRIu64 " words\n",
Table, logTableSize, TableSize);
printf("# GUPS: Number of updates = %" PRIu64 "\n", NUPDATE);
printf("# GUPS: Starting GUPS benchmark with %" PRIu32 " runs\n", params->NumReps);
bench_ctl_t *bench = bench_ctl_init(BENCH_MODE_FIXEDRUNS, 1, params->NumReps);
cycles_t t_diff;
do {
/* Initialize main table for each run */
for (i = 0; i < TableSize; i++) {
Table[i] = i;
}
/* Begin timing here */
#ifdef BARRELFISH
cycles_t t_start = bench_tsc();
#else
cycles_t t_start = get_timems();
#endif
RandomAccessUpdate(TableSize, Table);
/* End timed section */
#ifdef BARRELFISH
cycles_t t_end = bench_tsc();
t_diff = bench_tsc_to_ms(bench_time_diff(t_start, t_end));
#else
cycles_t t_end = get_timems();
t_diff = bench_time_diff(t_start, t_end);
#endif
/* time elapsed in seconds */
printf("# GUPS: Round: %" PRIu64 "ms\n", t_diff);
} while(!bench_ctl_add_run(bench, &t_diff));
cycles_t *bench_data = bench->data;
cycles_t avg;
cycles_t stddev;
bench_stddev(bench_data, bench->result_count, 0, &avg, &stddev);
double t_elapsed = ((double)avg) / 1000.0;
double t_err = ((double)stddev) / 1000000.0;
/* make sure no division by zero */
*GUPs = (t_elapsed > 0.0 ? 1.0 / t_elapsed : -1.0);
*GUPs *= 1e-9 * NUPDATE;
/* Print timing results */
printf("GUPS: CPU time used = %.6f seconds\n", t_elapsed);
printf("GUPS: %.9f Billion(10^9) (s=%.9f) Updates per second [GUP/s] using %" PRIu64
" pages\n", *GUPs, t_err, params->TableAlignment);
/* Verification of results (in serial or "safe" mode; optional) */
temp = 0x1;
for (i = 0; i < NUPDATE; i++) {
temp = (temp << 1) ^ (((int64_t) temp < 0) ? POLY : 0);
Table[temp & (TableSize - 1)] ^= temp;
}
temp = 0;
for (i = 0; i < TableSize; i++) {
if (Table[i] != i) {
temp++;
}
}
printf("GUPS: Found %" PRIu64 " errors in %" PRIu64 " locations (%s).\n", temp,
TableSize, (temp <= 0.01 * TableSize) ? "passed" : "failed");
if (temp <= 0.01 * TableSize) {
*failure = 0;
} else {
*failure = 1;
}
bench_ctl_destroy(bench);
HPCC_free(Table);
return 0;
}
|
GB_unaryop__minv_uint16_fp32.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__minv_uint16_fp32
// op(A') function: GB_tran__minv_uint16_fp32
// C type: uint16_t
// A type: float
// cast: uint16_t cij ; GB_CAST_UNSIGNED(cij,aij,16)
// unaryop: cij = GB_IMINV_UNSIGNED (aij, 16)
#define GB_ATYPE \
float
#define GB_CTYPE \
uint16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
float aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = GB_IMINV_UNSIGNED (x, 16) ;
// casting
#define GB_CASTING(z, x) \
uint16_t z ; GB_CAST_UNSIGNED(z,x,16) ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_MINV || GxB_NO_UINT16 || GxB_NO_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__minv_uint16_fp32
(
uint16_t *restrict Cx,
const float *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__minv_uint16_fp32
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
convolutiondepthwise_5x5_pack8.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void convdw5x5s1_pack8_avx(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const float* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
__m256 _bias0 = bias ? _mm256_loadu_ps((const float*)bias + g * 8) : _mm256_set1_ps(0.f);
const float* k0 = kernel.row(g);
float* outptr0 = out.row(0);
const Mat img0 = bottom_blob.channel(g);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
const float* r3 = img0.row(3);
const float* r4 = img0.row(4);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j < outw; j++)
{
__m256 _sum0 = _bias0;
__m256 _r00 = _mm256_loadu_ps(r0);
__m256 _r01 = _mm256_loadu_ps(r0 + 8);
__m256 _r02 = _mm256_loadu_ps(r0 + 16);
__m256 _r03 = _mm256_loadu_ps(r0 + 24);
__m256 _r04 = _mm256_loadu_ps(r0 + 32);
__m256 _k00 = _mm256_loadu_ps(k0);
__m256 _k01 = _mm256_loadu_ps(k0 + 8);
__m256 _k02 = _mm256_loadu_ps(k0 + 16);
__m256 _k03 = _mm256_loadu_ps(k0 + 24);
__m256 _k04 = _mm256_loadu_ps(k0 + 32);
k0 += 40;
_sum0 = _mm256_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k03, _r03, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k04, _r04, _sum0);
__m256 _r10 = _mm256_loadu_ps(r1);
__m256 _r11 = _mm256_loadu_ps(r1 + 8);
__m256 _r12 = _mm256_loadu_ps(r1 + 16);
__m256 _r13 = _mm256_loadu_ps(r1 + 24);
__m256 _r14 = _mm256_loadu_ps(r1 + 32);
__m256 _k10 = _mm256_loadu_ps(k0);
__m256 _k11 = _mm256_loadu_ps(k0 + 8);
__m256 _k12 = _mm256_loadu_ps(k0 + 16);
__m256 _k13 = _mm256_loadu_ps(k0 + 24);
__m256 _k14 = _mm256_loadu_ps(k0 + 32);
k0 += 40;
_sum0 = _mm256_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k13, _r13, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k14, _r14, _sum0);
__m256 _r20 = _mm256_loadu_ps(r2);
__m256 _r21 = _mm256_loadu_ps(r2 + 8);
__m256 _r22 = _mm256_loadu_ps(r2 + 16);
__m256 _r23 = _mm256_loadu_ps(r2 + 24);
__m256 _r24 = _mm256_loadu_ps(r2 + 32);
__m256 _k20 = _mm256_loadu_ps(k0);
__m256 _k21 = _mm256_loadu_ps(k0 + 8);
__m256 _k22 = _mm256_loadu_ps(k0 + 16);
__m256 _k23 = _mm256_loadu_ps(k0 + 24);
__m256 _k24 = _mm256_loadu_ps(k0 + 32);
k0 += 40;
_sum0 = _mm256_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k22, _r22, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k23, _r23, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k24, _r24, _sum0);
__m256 _r30 = _mm256_loadu_ps(r3);
__m256 _r31 = _mm256_loadu_ps(r3 + 8);
__m256 _r32 = _mm256_loadu_ps(r3 + 16);
__m256 _r33 = _mm256_loadu_ps(r3 + 24);
__m256 _r34 = _mm256_loadu_ps(r3 + 32);
__m256 _k30 = _mm256_loadu_ps(k0);
__m256 _k31 = _mm256_loadu_ps(k0 + 8);
__m256 _k32 = _mm256_loadu_ps(k0 + 16);
__m256 _k33 = _mm256_loadu_ps(k0 + 24);
__m256 _k34 = _mm256_loadu_ps(k0 + 32);
k0 += 40;
_sum0 = _mm256_comp_fmadd_ps(_k30, _r30, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k31, _r31, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k32, _r32, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k33, _r33, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k34, _r34, _sum0);
__m256 _r40 = _mm256_loadu_ps(r4);
__m256 _r41 = _mm256_loadu_ps(r4 + 8);
__m256 _r42 = _mm256_loadu_ps(r4 + 16);
__m256 _r43 = _mm256_loadu_ps(r4 + 24);
__m256 _r44 = _mm256_loadu_ps(r4 + 32);
__m256 _k40 = _mm256_loadu_ps(k0);
__m256 _k41 = _mm256_loadu_ps(k0 + 8);
__m256 _k42 = _mm256_loadu_ps(k0 + 16);
__m256 _k43 = _mm256_loadu_ps(k0 + 24);
__m256 _k44 = _mm256_loadu_ps(k0 + 32);
k0 -= 160;
_sum0 = _mm256_comp_fmadd_ps(_k40, _r40, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k41, _r41, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k42, _r42, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k43, _r43, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k44, _r44, _sum0);
_mm256_storeu_ps(outptr0, _sum0);
r0 += 8;
r1 += 8;
r2 += 8;
r3 += 8;
r4 += 8;
outptr0 += 8;
}
r0 += 4 * 8;
r1 += 4 * 8;
r2 += 4 * 8;
r3 += 4 * 8;
r4 += 4 * 8;
}
}
}
static void convdw5x5s2_pack8_avx(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) * 8;
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);
__m256 _bias0 = bias ? _mm256_loadu_ps((const float*)bias + g * 8) : _mm256_set1_ps(0.f);
const float* k0 = kernel.row(g);
float* outptr0 = out.row(0);
const Mat img0 = bottom_blob.channel(g);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
const float* r3 = img0.row(3);
const float* r4 = img0.row(4);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j < outw; j++)
{
__m256 _sum0 = _bias0;
__m256 _r00 = _mm256_loadu_ps(r0);
__m256 _r01 = _mm256_loadu_ps(r0 + 8);
__m256 _r02 = _mm256_loadu_ps(r0 + 16);
__m256 _r03 = _mm256_loadu_ps(r0 + 24);
__m256 _r04 = _mm256_loadu_ps(r0 + 32);
__m256 _k00 = _mm256_loadu_ps(k0);
__m256 _k01 = _mm256_loadu_ps(k0 + 8);
__m256 _k02 = _mm256_loadu_ps(k0 + 16);
__m256 _k03 = _mm256_loadu_ps(k0 + 24);
__m256 _k04 = _mm256_loadu_ps(k0 + 32);
k0 += 40;
_sum0 = _mm256_comp_fmadd_ps(_k00, _r00, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k01, _r01, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k02, _r02, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k03, _r03, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k04, _r04, _sum0);
__m256 _r10 = _mm256_loadu_ps(r1);
__m256 _r11 = _mm256_loadu_ps(r1 + 8);
__m256 _r12 = _mm256_loadu_ps(r1 + 16);
__m256 _r13 = _mm256_loadu_ps(r1 + 24);
__m256 _r14 = _mm256_loadu_ps(r1 + 32);
__m256 _k10 = _mm256_loadu_ps(k0);
__m256 _k11 = _mm256_loadu_ps(k0 + 8);
__m256 _k12 = _mm256_loadu_ps(k0 + 16);
__m256 _k13 = _mm256_loadu_ps(k0 + 24);
__m256 _k14 = _mm256_loadu_ps(k0 + 32);
k0 += 40;
_sum0 = _mm256_comp_fmadd_ps(_k10, _r10, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k11, _r11, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k12, _r12, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k13, _r13, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k14, _r14, _sum0);
__m256 _r20 = _mm256_loadu_ps(r2);
__m256 _r21 = _mm256_loadu_ps(r2 + 8);
__m256 _r22 = _mm256_loadu_ps(r2 + 16);
__m256 _r23 = _mm256_loadu_ps(r2 + 24);
__m256 _r24 = _mm256_loadu_ps(r2 + 32);
__m256 _k20 = _mm256_loadu_ps(k0);
__m256 _k21 = _mm256_loadu_ps(k0 + 8);
__m256 _k22 = _mm256_loadu_ps(k0 + 16);
__m256 _k23 = _mm256_loadu_ps(k0 + 24);
__m256 _k24 = _mm256_loadu_ps(k0 + 32);
k0 += 40;
_sum0 = _mm256_comp_fmadd_ps(_k20, _r20, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k21, _r21, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k22, _r22, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k23, _r23, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k24, _r24, _sum0);
__m256 _r30 = _mm256_loadu_ps(r3);
__m256 _r31 = _mm256_loadu_ps(r3 + 8);
__m256 _r32 = _mm256_loadu_ps(r3 + 16);
__m256 _r33 = _mm256_loadu_ps(r3 + 24);
__m256 _r34 = _mm256_loadu_ps(r3 + 32);
__m256 _k30 = _mm256_loadu_ps(k0);
__m256 _k31 = _mm256_loadu_ps(k0 + 8);
__m256 _k32 = _mm256_loadu_ps(k0 + 16);
__m256 _k33 = _mm256_loadu_ps(k0 + 24);
__m256 _k34 = _mm256_loadu_ps(k0 + 32);
k0 += 40;
_sum0 = _mm256_comp_fmadd_ps(_k30, _r30, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k31, _r31, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k32, _r32, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k33, _r33, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k34, _r34, _sum0);
__m256 _r40 = _mm256_loadu_ps(r4);
__m256 _r41 = _mm256_loadu_ps(r4 + 8);
__m256 _r42 = _mm256_loadu_ps(r4 + 16);
__m256 _r43 = _mm256_loadu_ps(r4 + 24);
__m256 _r44 = _mm256_loadu_ps(r4 + 32);
__m256 _k40 = _mm256_loadu_ps(k0);
__m256 _k41 = _mm256_loadu_ps(k0 + 8);
__m256 _k42 = _mm256_loadu_ps(k0 + 16);
__m256 _k43 = _mm256_loadu_ps(k0 + 24);
__m256 _k44 = _mm256_loadu_ps(k0 + 32);
k0 -= 160;
_sum0 = _mm256_comp_fmadd_ps(_k40, _r40, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k41, _r41, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k42, _r42, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k43, _r43, _sum0);
_sum0 = _mm256_comp_fmadd_ps(_k44, _r44, _sum0);
_mm256_storeu_ps(outptr0, _sum0);
r0 += 16;
r1 += 16;
r2 += 16;
r3 += 16;
r4 += 16;
outptr0 += 8;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
r3 += tailstep;
r4 += tailstep;
}
}
}
|
GB_binop__bxnor_int32.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the 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__bxnor_int32)
// A.*B function (eWiseMult): GB (_AemultB_08__bxnor_int32)
// A.*B function (eWiseMult): GB (_AemultB_02__bxnor_int32)
// A.*B function (eWiseMult): GB (_AemultB_04__bxnor_int32)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__bxnor_int32)
// A*D function (colscale): GB ((none))
// D*A function (rowscale): GB ((none))
// C+=B function (dense accum): GB (_Cdense_accumB__bxnor_int32)
// C+=b function (dense accum): GB (_Cdense_accumb__bxnor_int32)
// C+=A+B function (dense ewise3): GB ((none))
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__bxnor_int32)
// C=scalar+B GB (_bind1st__bxnor_int32)
// C=scalar+B' GB (_bind1st_tran__bxnor_int32)
// C=A+scalar GB (_bind2nd__bxnor_int32)
// C=A'+scalar GB (_bind2nd_tran__bxnor_int32)
// C type: int32_t
// A type: int32_t
// A pattern? 0
// B type: int32_t
// B pattern? 0
// BinaryOp: cij = ~((aij) ^ (bij))
#define GB_ATYPE \
int32_t
#define GB_BTYPE \
int32_t
#define GB_CTYPE \
int32_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
int32_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) \
int32_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) \
int32_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_BXNOR || GxB_NO_INT32 || GxB_NO_BXNOR_INT32)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__bxnor_int32)
(
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__bxnor_int32)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__bxnor_int32)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type int32_t
int32_t bwork = (*((int32_t *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix A,
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
int32_t *restrict Cx = (int32_t *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
#if 0
GrB_Info GB ((none))
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t *restrict Cx = (int32_t *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__bxnor_int32)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool 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) ;
int32_t alpha_scalar ;
int32_t beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((int32_t *) alpha_scalar_in)) ;
beta_scalar = (*((int32_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__bxnor_int32)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__bxnor_int32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__bxnor_int32)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_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__bxnor_int32)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__bxnor_int32)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t *Cx = (int32_t *) Cx_output ;
int32_t x = (*((int32_t *) x_input)) ;
int32_t *Bx = (int32_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
int32_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__bxnor_int32)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int32_t *Cx = (int32_t *) Cx_output ;
int32_t *Ax = (int32_t *) Ax_input ;
int32_t y = (*((int32_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int32_t aij = 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) \
{ \
int32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = ~((x) ^ (aij)) ; \
}
GrB_Info GB (_bind1st_tran__bxnor_int32)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int32_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t x = (*((const int32_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int32_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int32_t aij = GBX (Ax, pA, false) ; \
Cx [pC] = ~((aij) ^ (y)) ; \
}
GrB_Info GB (_bind2nd_tran__bxnor_int32)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int32_t y = (*((const int32_t *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
log_progress.h | /*
*
* Copyright (c) 2014, Nicola Pezzotti (Delft University of Technology)
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* 3. All advertising materials mentioning features or use of this software
* must display the following acknowledgement:
* This product includes software developed by the Delft University of Technology.
* 4. Neither the name of the Delft University of Technology nor the names of
* its contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY NICOLA PEZZOTTI ''AS IS'' AND ANY EXPRESS
* OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
* EVENT SHALL NICOLA PEZZOTTI BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
* BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING
* IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY
* OF SUCH DAMAGE.
*
*/
#ifndef LOG_PROGRESS_H
#define LOG_PROGRESS_H
#include "hdi/utils/abstract_log.h"
#include <string>
#include <omp.h>
namespace hdi{
namespace utils{
//! shows log on the standar output stream
class LogProgress{
public:
LogProgress(AbstractLog* log):_log(log),_current_step(0),_current_tick(0){}
//! set the number of steps made by the algorithm
void setNumSteps(int num_steps){_num_steps = num_steps;}
//! set the number of ticks made by the progress
void setNumTicks(int num_ticks){_num_ticks = num_ticks-1;}
//! set name
void setName(std::string name){_name = name;}
//! start
void start();
//! end logging
void finish();
//! make a step
inline void step(){
if(_log == nullptr){return;}
#pragma omp atomic
++_current_step;
//only the first thread is allowed to generate a tick
if(omp_get_thread_num() == 0){
double perc = double(_current_step)/_num_steps;
int tick = perc*(_num_ticks+1);
if(tick > _current_tick){
++_current_tick;
std::stringstream ss;
ss << perc*100 << "%";
_log->display(ss.str(),true);
}
}
}
private:
AbstractLog* _log;
int _num_steps;
int _current_step;
int _num_ticks;
int _current_tick;
std::string _name;
};
}
}
#endif // COUT_LOG_H
|
TriangleMesh.h | #ifndef TRIANGLE_MESH_INCLUDED
#define TRIANGLE_MESH_INCLUDED
template< class Real > void XForm( std::vector< Point3D< Real > >& vertices , const SquareMatrix< Real , 3 >& xForm , int threads=1 );
template< class Real > void XForm( std::vector< Point3D< Real > >& vertices , const SquareMatrix< Real , 4 >& xForm , int threads=1 );
template< class Real >
Real Area( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles );
template< class Real >
Point3D< Real > Center( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles );
template< class Real >
SquareMatrix< Real , 3 > CovarianceMatrix( Point3D< Real > v1 , Point3D< Real > v2 , Point3D< Real > v3 , Point3D< Real > center );
template< class Real >
SquareMatrix< Real , 3 > CovarianceMatrix( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles , Point3D< Real > center );
template< class Real >
Real BoundingRadius( const std::vector< Point3D< Real > >& vertices , Point3D< Real > center );
template< class Real >
Real MomentRadius( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles , Point3D< Real > center );
template< class Real >
SquareMatrix< Real , 4 > GetAligningXForm( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles , Real radiusScale , int anisotropic=0 );
template< class Real > std::pair< Point3D< Real > , Point3D< Real > > GetBoundingBox( const std::vector< Point3D< Real > >& vertices );
//////////////////////////////
// TriangleMesh definitions //
//////////////////////////////
#include "../Util/lineqn.h"
template< class Real >
void XForm( std::vector< Point3D< Real > >& vertices , const SquareMatrix< Real , 3 >& xForm , int threads )
{
#pragma omp parallel for num_threads( threads )
for( int i=0 ; i<vertices.size() ; i++ ) vertices[i] = xForm * vertices[i];
}
template< class Real >
void XForm( std::vector< Point3D< Real > >& vertices , const SquareMatrix< Real , 4 >& xForm , int threads )
{
#pragma omp parallel for num_threads( threads )
for( int i=0 ; i<vertices.size() ; i++ )
{
Point< Real , 4 > p;
for( int j=0 ; j<3 ; j++ ) p[j] = vertices[i][j];
p[3] = Real(1.);
p = xForm * p;
for( int j=0 ; j<3 ; j++ ) vertices[i][j] = p[j];
}
}
template< class Real >
Real Area( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles )
{
Real area = 0;
for( int i=0 ; i<triangles.size() ; i++ )
{
Point3D< Real > v[] = { vertices[ triangles[i][0] ] , vertices[ triangles[i][1] ] , vertices[ triangles[i][2] ] };
area += Real( Point3D< Real >::Length( Point3D< Real >::CrossProduct( v[1]-v[0] , v[2]-v[0] ) ) / 2. );
}
return area;
}
template< class Real >
Point3D< Real > Center( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles )
{
Real area = 0;
Point3D< Real > center;
for( int i=0 ; i<triangles.size() ; i++ )
{
Point3D< Real > v[] = { vertices[ triangles[i][0] ] , vertices[ triangles[i][1] ] , vertices[ triangles[i][2] ] };
Point3D< Real > c = ( v[0] + v[1] + v[2] ) / Real(3.);
Real a = Real( Point3D< Real >::Length( Point3D< Real >::CrossProduct( v[1]-v[0] , v[2]-v[0] ) ) / 2. );
center += c * a;
area += a;
}
return center / area;
}
template< class Real >
SquareMatrix< Real , 3 > CovarianceMatrix( Point3D< Real > v1 , Point3D< Real > v2 , Point3D< Real > v3 , Point3D< Real > center )
{
SquareMatrix< Real , 3 > covariance;
Real a = Point3D< Real >::Length( Point3D< Real >::CrossProduct( v2-v1 , v3-v1 ) );
Point3D< Real > v[] = { v1-center , v3-v1 , v2-v3 };
const Real Factors[3][3] =
{
{ Real(1./2) , Real(1./3) , Real(1./ 6) } ,
{ Real(1./3) , Real(1./4) , Real(1./ 8) } ,
{ Real(1./6) , Real(1./8) , Real(1./12) }
};
for( int i=0 ; i<3 ; i++ ) for( int j=0 ; j<3 ; j++ )
{
Real dot = Real(0);
for( int k=0 ; k<3 ; k++ ) for( int l=0 ; l<3 ; l++ ) dot += ( v[k][i] * v[l][j] ) * Factors[k][l];
covariance( i , j ) = dot * a;
}
return covariance;
}
template< class Real >
SquareMatrix< Real , 3 > CovarianceMatrix( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles , Point3D< Real > center )
{
SquareMatrix< Real , 3 > covariance;
for( int i=0 ; i<triangles.size() ; i++ ) covariance += CovarianceMatrix( vertices[ triangles[i][0] ] , vertices[ triangles[i][1] ] , vertices[ triangles[i][2] ] , center );
return covariance;
}
template< class Real >
Real BoundingRadius( const std::vector< Point3D< Real > >& vertices , Point3D< Real > center )
{
Real radius2 = 0;
for( int i=0 ; i<vertices.size() ; i++ ) radius2 = std::max< Real >( radius2 , Point3D< Real >::SquareNorm( vertices[i]-center ) );
return Real( sqrt( radius2 ) );
}
template< class Real >
Real MomentRadius( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles , Point3D< Real > center )
{
SquareMatrix< Real , 3 > c = CovarianceMatrix( vertices , triangles , center ) / Area( vertices , triangles );
return Real( sqrt( c.trace() ) );
}
template< class Real , int Dim >
void PrintMatrix( SquareMatrix< Real , Dim > M )
{
for( int i=0 ; i<Dim ; i++ )
{
for( int j=0 ; j<Dim ; j++ ) printf( " %f" , M(j,i) );
printf( "\n" );
}
printf( "\n" );
}
template< class Real >
SquareMatrix< Real , 4 > GetAligningXForm( const std::vector< Point3D< Real > >& vertices , const std::vector< TriangleIndex >& triangles , Real radiusScale , int anisotropic )
{
SquareMatrix< Real , 4 > translate=SquareMatrix< Real , 4 >::Identity() , scale=SquareMatrix< Real , 4 >::Identity() , aScale=SquareMatrix< Real , 4 >::Identity();
std::vector< Point3D< Real > > _vertices = vertices;
for( int i=0 ; i<anisotropic ; i++ )
{
Point3D< Real > center = Center( _vertices , triangles );
// Rescale initially so that the covariance matrix has reasonable size
Real radius = BoundingRadius( _vertices , center );
for( int j=0 ; j<_vertices.size() ; j++ ) _vertices[j] = (_vertices[j]-center ) / radius;
SquareMatrix< Real , 3 > cov = CovarianceMatrix( _vertices , triangles , Point3D< Real >( Real(0) , Real(0) , Real(0) ) ) , covRoot;
Real A[3][3] , d[3];
for( int j=0 ; j<3 ; j++ ) for( int k=0 ; k<3 ; k++ ) A[j][k] = cov(j,k);
eigdc< Real , 3 >( A , d );
{
SquareMatrix< Real , 3 > cRotate , cScale;
for( int j=0 ; j<3 ; j++ ) for( int k=0 ; k<3 ; k++ ) cRotate(j,k) = A[j][k];
cScale(0,0) = Real( sqrt( d[0] ) ) , cScale(1,1) = Real( sqrt( d[1] ) ) , cScale(2,2) = Real( sqrt( d[2] ) );
covRoot = SquareMatrix< Real , 3 >( cRotate.transpose() ) * cScale * cRotate;
covRoot = covRoot.inverse();
}
SquareMatrix< Real , 4 > subTranslate , subScale;
subScale = subTranslate = SquareMatrix< Real , 4 >::Identity();
for( int j=0 ; j<3 ; j++ ) subTranslate(3,j) = -center[j];
for( int j=0 ; j<3 ; j++ ) for( int k=0 ; k<3 ; k++ ) subScale(j,k) = covRoot(j,k)/radius;
for( int j=0 ; j<_vertices.size() ; j++ ) _vertices[j] = covRoot * _vertices[j];
aScale = subScale * subTranslate * aScale;
}
Point3D< Real > center = Center( _vertices , triangles );
Real radius;
if( radiusScale>0 ) radius = MomentRadius( _vertices , triangles , center ) * radiusScale;
else radius = BoundingRadius( _vertices , center );
for( int i=0 ; i<3 ; i++ ) translate(3,i) = -center[i] , scale(i,i) = Real(1./radius);
return scale * translate * aScale;
}
template< class Real >
std::pair< Point3D< Real > , Point3D< Real > > GetBoundingBox( const std::vector< Point3D< Real > >& vertices )
{
Point3D< Real > min , max;
min = max = vertices[0];
for( int i=0 ; i<vertices.size() ; i++ ) for( int j=0 ; j<3 ; j++ ) min[j] = std::min< Real >( min[j] , vertices[i][j] ) , max[j] = std::max< Real >( max[j] , vertices[i][j] );
return std::pair< Point3D< Real > , Point3D< Real > >( min , max );
}
#endif // TRIANGLE_MESH_INCLUDED |
poollayer.h | #ifndef POOLLAYER_H
#define POOLLAYER_H
#include "vol.h"
#include "layer.h"
#include "utils.h"
#include <boost/archive/text_oarchive.hpp>
#include <boost/archive/text_iarchive.hpp>
#include <boost/serialization/vector.hpp>
#include <boost/serialization/map.hpp>
#include <boost/serialization/utility.hpp>
#include <iostream>
#include <iomanip>
#include <algorithm>
#include <string>
#include <random>
#include <cmath>
#include <ctime>
#include <opencv2/calib3d/calib3d.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/legacy/compat.hpp>
#ifndef NOT_USE
#define NOT_USE 2<<20
#endif
using namespace std;
template < typename FP >
class PoolLayer : public Layer<FP>{
private:
public:
int out_depth;
int out_sx;
int out_sy;
int sx;
int sy;
int stride;
int pad;
int in_depth;
int in_sx;
int in_sy;
int winx;
int winy;
string layer_type;
vector<FP> switchx;
vector<FP> switchy;
//num_neurons In:{d,x,y} Conf:{l1_decay,l2_decay}
PoolLayer(int sx,int sy,int in_depth,int in_sx,int in_sy,int stride=2,int pad=0){
this->in_depth=in_depth;
this->in_sx=in_sx;
this->in_sy=in_sy;
this->layer_type="pool";
this->in_act=NULL;
this->out_act=NULL;
this->sx=sx;
this->sy=sy;
this->stride=stride;
this->pad=pad;
//cout << "cv 0" << endl;
//cout << "cv 1" << endl;
this->out_depth = this->in_depth;
this->out_sx = floor((this->in_sx + this->pad * 2 - this->sx) / this->stride + 1);
this->out_sy = floor((this->in_sy + this->pad * 2 - this->sy) / this->stride + 1);
//cout << "cv 2" << endl;
Utils<FP> ut;
this->switchx = ut.zeros(this->out_sx*this->out_sy*this->out_depth);
this->switchy = ut.zeros(this->out_sx*this->out_sy*this->out_depth);
//cout << "cv 4" << endl;
}
void dtor(){
this->switchx.clear();
this->switchy.clear();
//cout << "clearrr3" << endl;
if(this->in_act != NULL){delete this->in_act;this->in_act=NULL;}
//cout << "clearrr5" << endl;
if(this->out_act != NULL){delete this->out_act;this->out_act=NULL;}
//cout << "clearrr4" << endl;
}
~PoolLayer(){
dtor();
}
vector<FP> get_all_w(){
vector<FP> out;
Vol<FP>* V;
vector< Vol<FP>* > list;
for(int z=0;z<list.size();z++){
V=list[z];
int size=V->w.size();
//cout << size << endl;
for(int q=0;q<size;q++){
out.push_back(V->w[q]);
}
}
return out;
}
void set_all_w(vector<FP> aw){
Vol<FP>* V;
vector< Vol<FP>* > list;
vector<int> slist;
int as=0;
for(int i=0,q=0;i<slist.size();i++){
V = list[i];
for(int j=0;j<slist[i];j++,q++){
V->w[j]=aw[q];
}
}
}
Vol<FP>* forward(Vol<FP>* V,bool is_training=false){
this->in_act = V;
//cout << "feed b" << endl;
Vol<FP>* A = new Vol<FP>(this->out_sx,this->out_sy,this->out_depth,FP(0.0));
int n=0;
//cout << "feed c" << endl;
//cout << "feed ddd" << endl;
clock_t begin_time = clock();
//#pragma omp parallel for
for(int d=0;d<this->out_depth;d++){
int x = -this->pad;
int y = -this->pad;
for(int ax=0;ax<this->out_sx;x+=this->stride,ax++){
y = -this->pad;
for(int ay=0;ay<this->out_sy;y+=this->stride,ay++){
FP a(-99999);
for(int fx=0;fx<this->sx;fx++){
for(int fy=0;fy<this->sy;fy++){
int oy = y+fy;
int ox = x+fx;
if(oy>=0 && oy<V->sy && ox>=0 && ox<V->sx){
FP v = V->get(ox,oy,d);
//Perform max pooling
if(v > a){
a = v;
winx=ox;
winy=oy;
}
}
}
}
this->switchx[n] = winx;
this->switchy[n] = winy;
n++;
A->set(ax,ay,d,a);
}
}
}
//std::cout << "PoolLayer : " << float( clock () - begin_time ) / CLOCKS_PER_SEC << endl;
//cout << "feed e" << endl;
if(this->out_act != NULL){delete this->out_act;this->out_act=NULL;}
//cout << "feed f" << endl;
this->out_act = A;
//cout << "feed g" << endl;
//cout << "feed h" << endl;
return this->out_act;
}
void backward(int tmpy=0){
Vol<FP>* V = this->in_act;
Utils<FP> ut;
V->dw = ut.zeros(V->w.size());
int n=0;
for(int d=0;d<this->out_depth;d++){
int x = -this->pad;
int y = -this->pad;
for(int ax=0;ax<this->out_sx;x+=this->stride,ax++){
y = -this->pad;
for(int ay=0;ay<this->out_sy;y+=this->stride,ay++){
FP chain_grad = this->out_act->get_grad(ax,ay,d);
//if(abs(chain_grad)>0.001)cout << "#p" << endl;
V->add_grad(this->switchx[n],this->switchy[n],d,chain_grad);
n++;
}
}
}
}
vector< map<string,vector<FP>* > > getParamsAndGrads(){
vector< map<string,vector<FP>* > > v;
return v;
}
string get_layer_type(){
return this->layer_type;
}
Vol<FP>* get_in_act(){
return this->in_act;
}
Vol<FP>* get_out_act(){
return this->out_act;
}
};
/**
* Mat::data Specification
* 2x2 1 channel
* [ R , R ;
* R , R ]
*
* 2x2 2 channel
* [ R , G , R , G ;
* R , G , R , G ]
*
* 2x2 3 channel
* [ R , G , B , R , G , B ;
* R , G , B . R , G , B ]
*/
#endif
|
GB_binop__eq_bool.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_mkl.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB_AaddB__eq_bool
// A.*B function (eWiseMult): GB_AemultB__eq_bool
// A*D function (colscale): GB_AxD__eq_bool
// D*A function (rowscale): GB_DxB__eq_bool
// C+=B function (dense accum): GB_Cdense_accumB__eq_bool
// C+=b function (dense accum): GB_Cdense_accumb__eq_bool
// C+=A+B function (dense ewise3): (none)
// C=A+B function (dense ewise3): GB_Cdense_ewise3_noaccum__eq_bool
// C=scalar+B GB_bind1st__eq_bool
// C=scalar+B' GB_bind1st_tran__eq_bool
// C=A+scalar GB_bind2nd__eq_bool
// C=A'+scalar GB_bind2nd_tran__eq_bool
// C type: bool
// A type: bool
// B,b type: bool
// BinaryOp: cij = (aij == bij)
#define GB_ATYPE \
bool
#define GB_BTYPE \
bool
#define GB_CTYPE \
bool
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
bool bij = Bx [pB]
// 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) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y) \
z = (x == y) ;
// op is second
#define GB_OP_IS_SECOND \
0
// op is plus_fp32 or plus_fp64
#define GB_OP_IS_PLUS_REAL \
0
// op is minus_fp32 or minus_fp64
#define GB_OP_IS_MINUS_REAL \
0
// GB_cblas_*axpy gateway routine, if it exists for this operator and type:
#define GB_CBLAS_AXPY \
(none)
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_EQ || GxB_NO_BOOL || GxB_NO_EQ_BOOL)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
#if 0
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void (none)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
#endif
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_ewise3_noaccum__eq_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__eq_bool
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB_Cdense_accumb__eq_bool
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type bool
bool bwork = (*((bool *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_AxD__eq_bool
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *GB_RESTRICT kfirst_slice,
const int64_t *GB_RESTRICT klast_slice,
const int64_t *GB_RESTRICT pstart_slice,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool *GB_RESTRICT Cx = (bool *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB_DxB__eq_bool
(
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 *GB_RESTRICT Cx = (bool *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB_AaddB__eq_bool
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_add_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB_AemultB__eq_bool
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *GB_RESTRICT C_to_M,
const int64_t *GB_RESTRICT C_to_A,
const int64_t *GB_RESTRICT C_to_B,
const GB_task_struct *GB_RESTRICT TaskList,
const int ntasks,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB_bind1st__eq_bool
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
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 < anz ; p++)
{
bool bij = Bx [p] ;
Cx [p] = (x == bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB_bind2nd__eq_bool
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
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++)
{
bool aij = Ax [p] ;
Cx [p] = (aij == y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typcasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
bool aij = Ax [pA] ; \
Cx [pC] = (x == aij) ; \
}
GrB_Info GB_bind1st_tran__eq_bool
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
bool
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool x = (*((const bool *) x_input)) ;
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
bool
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typcasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
bool aij = Ax [pA] ; \
Cx [pC] = (aij == y) ; \
}
GrB_Info GB_bind2nd_tran__eq_bool
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
bool y = (*((const bool *) y_input)) ;
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
3d7pt_var.c | /*
* Order-1, 3D 7 point stencil with variable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+2;
Ny = atoi(argv[2])+2;
Nz = atoi(argv[3])+2;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*7);
for(m=0; m<7;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 4;
tile_size[1] = 4;
tile_size[2] = 4;
tile_size[3] = 32;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<7; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
#pragma scop
for (t = 0; t < Nt-1; t++) {
for (i = 1; i < Nz-1; i++) {
for (j = 1; j < Ny-1; j++) {
for (k = 1; k < Nx-1; k++) {
A[(t+1)%2][i][j][k] = coef[0][i][j][k] * A[t%2][i ][j ][k ] +
coef[1][i][j][k] * A[t%2][i-1][j ][k ] +
coef[2][i][j][k] * A[t%2][i ][j-1][k ] +
coef[3][i][j][k] * A[t%2][i ][j ][k-1] +
coef[4][i][j][k] * A[t%2][i+1][j ][k ] +
coef[5][i][j][k] * A[t%2][i ][j+1][k ] +
coef[6][i][j][k] * A[t%2][i ][j ][k+1];
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "variable no-symmetry")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<7;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
Sema.h | //===--- Sema.h - Semantic Analysis & AST Building --------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file defines the Sema class, which performs semantic analysis and
// builds ASTs.
//
//===----------------------------------------------------------------------===//
#ifndef LLVM_CLANG_SEMA_SEMA_H
#define LLVM_CLANG_SEMA_SEMA_H
#include "clang/AST/ASTConcept.h"
#include "clang/AST/ASTFwd.h"
#include "clang/AST/Attr.h"
#include "clang/AST/Availability.h"
#include "clang/AST/ComparisonCategories.h"
#include "clang/AST/DeclTemplate.h"
#include "clang/AST/DeclarationName.h"
#include "clang/AST/Expr.h"
#include "clang/AST/ExprCXX.h"
#include "clang/AST/ExprConcepts.h"
#include "clang/AST/ExprObjC.h"
#include "clang/AST/ExprOpenMP.h"
#include "clang/AST/ExternalASTSource.h"
#include "clang/AST/LocInfoType.h"
#include "clang/AST/MangleNumberingContext.h"
#include "clang/AST/NSAPI.h"
#include "clang/AST/PrettyPrinter.h"
#include "clang/AST/StmtCXX.h"
#include "clang/AST/TypeLoc.h"
#include "clang/AST/TypeOrdering.h"
#include "clang/Basic/BitmaskEnum.h"
#include "clang/Basic/DiagnosticSema.h"
#include "clang/Basic/ExpressionTraits.h"
#include "clang/Basic/Module.h"
#include "clang/Basic/OpenCLOptions.h"
#include "clang/Basic/OpenMPKinds.h"
#include "clang/Basic/PragmaKinds.h"
#include "clang/Basic/Specifiers.h"
#include "clang/Basic/TemplateKinds.h"
#include "clang/Basic/TypeTraits.h"
#include "clang/Sema/AnalysisBasedWarnings.h"
#include "clang/Sema/CleanupInfo.h"
#include "clang/Sema/DeclSpec.h"
#include "clang/Sema/ExternalSemaSource.h"
#include "clang/Sema/IdentifierResolver.h"
#include "clang/Sema/ObjCMethodList.h"
#include "clang/Sema/Ownership.h"
#include "clang/Sema/Scope.h"
#include "clang/Sema/SemaConcept.h"
#include "clang/Sema/TypoCorrection.h"
#include "clang/Sema/Weak.h"
#include "llvm/ADT/ArrayRef.h"
#include "llvm/ADT/Optional.h"
#include "llvm/ADT/SetVector.h"
#include "llvm/ADT/SmallBitVector.h"
#include "llvm/ADT/SmallSet.h"
#include "llvm/ADT/SmallPtrSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/TinyPtrVector.h"
#include "llvm/Frontend/OpenMP/OMPConstants.h"
#include <deque>
#include <memory>
#include <string>
#include <tuple>
#include <vector>
namespace llvm {
class APSInt;
template <typename ValueT> struct DenseMapInfo;
template <typename ValueT, typename ValueInfoT> class DenseSet;
class SmallBitVector;
struct InlineAsmIdentifierInfo;
}
namespace clang {
class ADLResult;
class ASTConsumer;
class ASTContext;
class ASTMutationListener;
class ASTReader;
class ASTWriter;
class ArrayType;
class ParsedAttr;
class BindingDecl;
class BlockDecl;
class CapturedDecl;
class CXXBasePath;
class CXXBasePaths;
class CXXBindTemporaryExpr;
typedef SmallVector<CXXBaseSpecifier*, 4> CXXCastPath;
class CXXConstructorDecl;
class CXXConversionDecl;
class CXXDeleteExpr;
class CXXDestructorDecl;
class CXXFieldCollector;
class CXXMemberCallExpr;
class CXXMethodDecl;
class CXXScopeSpec;
class CXXTemporary;
class CXXTryStmt;
class CallExpr;
class ClassTemplateDecl;
class ClassTemplatePartialSpecializationDecl;
class ClassTemplateSpecializationDecl;
class VarTemplatePartialSpecializationDecl;
class CodeCompleteConsumer;
class CodeCompletionAllocator;
class CodeCompletionTUInfo;
class CodeCompletionResult;
class CoroutineBodyStmt;
class Decl;
class DeclAccessPair;
class DeclContext;
class DeclRefExpr;
class DeclaratorDecl;
class DeducedTemplateArgument;
class DependentDiagnostic;
class DesignatedInitExpr;
class Designation;
class EnableIfAttr;
class EnumConstantDecl;
class Expr;
class ExtVectorType;
class FormatAttr;
class FriendDecl;
class FunctionDecl;
class FunctionProtoType;
class FunctionTemplateDecl;
class ImplicitConversionSequence;
typedef MutableArrayRef<ImplicitConversionSequence> ConversionSequenceList;
class InitListExpr;
class InitializationKind;
class InitializationSequence;
class InitializedEntity;
class IntegerLiteral;
class LabelStmt;
class LambdaExpr;
class LangOptions;
class LocalInstantiationScope;
class LookupResult;
class MacroInfo;
typedef ArrayRef<std::pair<IdentifierInfo *, SourceLocation>> ModuleIdPath;
class ModuleLoader;
class MultiLevelTemplateArgumentList;
class NamedDecl;
class ObjCCategoryDecl;
class ObjCCategoryImplDecl;
class ObjCCompatibleAliasDecl;
class ObjCContainerDecl;
class ObjCImplDecl;
class ObjCImplementationDecl;
class ObjCInterfaceDecl;
class ObjCIvarDecl;
template <class T> class ObjCList;
class ObjCMessageExpr;
class ObjCMethodDecl;
class ObjCPropertyDecl;
class ObjCProtocolDecl;
class OMPThreadPrivateDecl;
class OMPRequiresDecl;
class OMPDeclareReductionDecl;
class OMPDeclareSimdDecl;
class OMPClause;
struct OMPVarListLocTy;
struct OverloadCandidate;
enum class OverloadCandidateParamOrder : char;
enum OverloadCandidateRewriteKind : unsigned;
class OverloadCandidateSet;
class OverloadExpr;
class ParenListExpr;
class ParmVarDecl;
class Preprocessor;
class PseudoDestructorTypeStorage;
class PseudoObjectExpr;
class QualType;
class StandardConversionSequence;
class Stmt;
class StringLiteral;
class SwitchStmt;
class TemplateArgument;
class TemplateArgumentList;
class TemplateArgumentLoc;
class TemplateDecl;
class TemplateInstantiationCallback;
class TemplateParameterList;
class TemplatePartialOrderingContext;
class TemplateTemplateParmDecl;
class Token;
class TypeAliasDecl;
class TypedefDecl;
class TypedefNameDecl;
class TypeLoc;
class TypoCorrectionConsumer;
class UnqualifiedId;
class UnresolvedLookupExpr;
class UnresolvedMemberExpr;
class UnresolvedSetImpl;
class UnresolvedSetIterator;
class UsingDecl;
class UsingShadowDecl;
class ValueDecl;
class VarDecl;
class VarTemplateSpecializationDecl;
class VisibilityAttr;
class VisibleDeclConsumer;
class IndirectFieldDecl;
struct DeductionFailureInfo;
class TemplateSpecCandidateSet;
namespace sema {
class AccessedEntity;
class BlockScopeInfo;
class Capture;
class CapturedRegionScopeInfo;
class CapturingScopeInfo;
class CompoundScopeInfo;
class DelayedDiagnostic;
class DelayedDiagnosticPool;
class FunctionScopeInfo;
class LambdaScopeInfo;
class PossiblyUnreachableDiag;
class SemaPPCallbacks;
class TemplateDeductionInfo;
}
namespace threadSafety {
class BeforeSet;
void threadSafetyCleanup(BeforeSet* Cache);
}
// FIXME: No way to easily map from TemplateTypeParmTypes to
// TemplateTypeParmDecls, so we have this horrible PointerUnion.
typedef std::pair<llvm::PointerUnion<const TemplateTypeParmType*, NamedDecl*>,
SourceLocation> UnexpandedParameterPack;
/// Describes whether we've seen any nullability information for the given
/// file.
struct FileNullability {
/// The first pointer declarator (of any pointer kind) in the file that does
/// not have a corresponding nullability annotation.
SourceLocation PointerLoc;
/// The end location for the first pointer declarator in the file. Used for
/// placing fix-its.
SourceLocation PointerEndLoc;
/// Which kind of pointer declarator we saw.
uint8_t PointerKind;
/// Whether we saw any type nullability annotations in the given file.
bool SawTypeNullability = false;
};
/// A mapping from file IDs to a record of whether we've seen nullability
/// information in that file.
class FileNullabilityMap {
/// A mapping from file IDs to the nullability information for each file ID.
llvm::DenseMap<FileID, FileNullability> Map;
/// A single-element cache based on the file ID.
struct {
FileID File;
FileNullability Nullability;
} Cache;
public:
FileNullability &operator[](FileID file) {
// Check the single-element cache.
if (file == Cache.File)
return Cache.Nullability;
// It's not in the single-element cache; flush the cache if we have one.
if (!Cache.File.isInvalid()) {
Map[Cache.File] = Cache.Nullability;
}
// Pull this entry into the cache.
Cache.File = file;
Cache.Nullability = Map[file];
return Cache.Nullability;
}
};
// TODO SYCL Integration header approach relies on an assumption that kernel
// lambda objects created by the host compiler and any of the device compilers
// will be identical wrt to field types, order and offsets. Some verification
// mechanism should be developed to enforce that.
// TODO FIXME SYCL Support for SYCL in FE should be refactored:
// - kernel identification and generation should be made a separate pass over
// AST. RecursiveASTVisitor + VisitFunctionTemplateDecl +
// FunctionTemplateDecl::getSpecializations() mechanism could be used for that.
// - All SYCL stuff on Sema level should be encapsulated into a single Sema
// field
// - Move SYCL stuff into a separate header
// Represents contents of a SYCL integration header file produced by a SYCL
// device compiler and used by SYCL host compiler (via forced inclusion into
// compiled SYCL source):
// - SYCL kernel names
// - SYCL kernel parameters and offsets of corresponding actual arguments
class SYCLIntegrationHeader {
public:
// Kind of kernel's parameters as captured by the compiler in the
// kernel lambda or function object
enum kernel_param_kind_t {
kind_first,
kind_accessor = kind_first,
kind_std_layout,
kind_sampler,
kind_pointer,
kind_last = kind_pointer
};
public:
SYCLIntegrationHeader(DiagnosticsEngine &Diag, bool UnnamedLambdaSupport,
Sema &S);
/// Emits contents of the header into given stream.
void emit(raw_ostream &Out);
/// Emits contents of the header into a file with given name.
/// Returns true/false on success/failure.
bool emit(const StringRef &MainSrc);
/// Signals that subsequent parameter descriptor additions will go to
/// the kernel with given name. Starts new kernel invocation descriptor.
void startKernel(StringRef KernelName, QualType KernelNameType,
StringRef KernelStableName, SourceLocation Loc);
/// Adds a kernel parameter descriptor to current kernel invocation
/// descriptor.
void addParamDesc(kernel_param_kind_t Kind, int Info, unsigned Offset);
/// Signals that addition of parameter descriptors to current kernel
/// invocation descriptor has finished.
void endKernel();
/// Registers a specialization constant to emit info for it into the header.
void addSpecConstant(StringRef IDName, QualType IDType);
private:
// Kernel actual parameter descriptor.
struct KernelParamDesc {
// Represents a parameter kind.
kernel_param_kind_t Kind = kind_last;
// If Kind is kind_scalar or kind_struct, then
// denotes parameter size in bytes (includes padding for structs)
// If Kind is kind_accessor
// denotes access target; possible access targets are defined in
// access/access.hpp
int Info = 0;
// Offset of the captured parameter value in the lambda or function object.
unsigned Offset = 0;
KernelParamDesc() = default;
};
// Kernel invocation descriptor
struct KernelDesc {
/// Kernel name.
std::string Name;
/// Kernel name type.
QualType NameType;
/// Kernel name with stable lambda name mangling
std::string StableName;
SourceLocation KernelLocation;
/// Descriptor of kernel actual parameters.
SmallVector<KernelParamDesc, 8> Params;
KernelDesc() = default;
};
/// Returns the latest invocation descriptor started by
/// SYCLIntegrationHeader::startKernel
KernelDesc *getCurKernelDesc() {
return KernelDescs.size() > 0 ? &KernelDescs[KernelDescs.size() - 1]
: nullptr;
}
/// Emits a forward declaration for given declaration.
void emitFwdDecl(raw_ostream &O, const Decl *D,
SourceLocation KernelLocation);
/// Emits forward declarations of classes and template classes on which
/// declaration of given type depends. See example in the comments for the
/// implementation.
/// \param O
/// stream to emit to
/// \param T
/// type to emit forward declarations for
/// \param KernelLocation
/// source location of the SYCL kernel function, used to emit nicer
/// diagnostic messages if kernel name is missing
/// \param Emitted
/// a set of declarations forward declrations has been emitted for already
void emitForwardClassDecls(raw_ostream &O, QualType T,
SourceLocation KernelLocation,
llvm::SmallPtrSetImpl<const void *> &Emitted);
private:
/// Keeps invocation descriptors for each kernel invocation started by
/// SYCLIntegrationHeader::startKernel
SmallVector<KernelDesc, 4> KernelDescs;
using SpecConstID = std::pair<QualType, std::string>;
/// Keeps specialization constants met in the translation unit. Maps spec
/// constant's ID type to generated unique name. Duplicates are removed at
/// integration header emission time.
llvm::SmallVector<SpecConstID, 4> SpecConsts;
/// Used for emitting diagnostics.
DiagnosticsEngine &Diag;
/// Whether header is generated with unnamed lambda support
bool UnnamedLambdaSupport;
Sema &S;
};
/// Keeps track of expected type during expression parsing. The type is tied to
/// a particular token, all functions that update or consume the type take a
/// start location of the token they are looking at as a parameter. This allows
/// to avoid updating the type on hot paths in the parser.
class PreferredTypeBuilder {
public:
PreferredTypeBuilder() = default;
explicit PreferredTypeBuilder(QualType Type) : Type(Type) {}
void enterCondition(Sema &S, SourceLocation Tok);
void enterReturn(Sema &S, SourceLocation Tok);
void enterVariableInit(SourceLocation Tok, Decl *D);
/// Computing a type for the function argument may require running
/// overloading, so we postpone its computation until it is actually needed.
///
/// Clients should be very careful when using this funciton, as it stores a
/// function_ref, clients should make sure all calls to get() with the same
/// location happen while function_ref is alive.
void enterFunctionArgument(SourceLocation Tok,
llvm::function_ref<QualType()> ComputeType);
void enterParenExpr(SourceLocation Tok, SourceLocation LParLoc);
void enterUnary(Sema &S, SourceLocation Tok, tok::TokenKind OpKind,
SourceLocation OpLoc);
void enterBinary(Sema &S, SourceLocation Tok, Expr *LHS, tok::TokenKind Op);
void enterMemAccess(Sema &S, SourceLocation Tok, Expr *Base);
void enterSubscript(Sema &S, SourceLocation Tok, Expr *LHS);
/// Handles all type casts, including C-style cast, C++ casts, etc.
void enterTypeCast(SourceLocation Tok, QualType CastType);
QualType get(SourceLocation Tok) const {
if (Tok != ExpectedLoc)
return QualType();
if (!Type.isNull())
return Type;
if (ComputeType)
return ComputeType();
return QualType();
}
private:
/// Start position of a token for which we store expected type.
SourceLocation ExpectedLoc;
/// Expected type for a token starting at ExpectedLoc.
QualType Type;
/// A function to compute expected type at ExpectedLoc. It is only considered
/// if Type is null.
llvm::function_ref<QualType()> ComputeType;
};
/// Sema - This implements semantic analysis and AST building for C.
class Sema final {
Sema(const Sema &) = delete;
void operator=(const Sema &) = delete;
/// A key method to reduce duplicate debug info from Sema.
virtual void anchor();
///Source of additional semantic information.
ExternalSemaSource *ExternalSource;
///Whether Sema has generated a multiplexer and has to delete it.
bool isMultiplexExternalSource;
static bool mightHaveNonExternalLinkage(const DeclaratorDecl *FD);
bool isVisibleSlow(const NamedDecl *D);
/// Determine whether two declarations should be linked together, given that
/// the old declaration might not be visible and the new declaration might
/// not have external linkage.
bool shouldLinkPossiblyHiddenDecl(const NamedDecl *Old,
const NamedDecl *New) {
if (isVisible(Old))
return true;
// See comment in below overload for why it's safe to compute the linkage
// of the new declaration here.
if (New->isExternallyDeclarable()) {
assert(Old->isExternallyDeclarable() &&
"should not have found a non-externally-declarable previous decl");
return true;
}
return false;
}
bool shouldLinkPossiblyHiddenDecl(LookupResult &Old, const NamedDecl *New);
void setupImplicitSpecialMemberType(CXXMethodDecl *SpecialMem,
QualType ResultTy,
ArrayRef<QualType> Args);
public:
/// The maximum alignment, same as in llvm::Value. We duplicate them here
/// because that allows us not to duplicate the constants in clang code,
/// which we must to since we can't directly use the llvm constants.
/// The value is verified against llvm here: lib/CodeGen/CGDecl.cpp
///
/// This is the greatest alignment value supported by load, store, and alloca
/// instructions, and global values.
static const unsigned MaxAlignmentExponent = 29;
static const unsigned MaximumAlignment = 1u << MaxAlignmentExponent;
typedef OpaquePtr<DeclGroupRef> DeclGroupPtrTy;
typedef OpaquePtr<TemplateName> TemplateTy;
typedef OpaquePtr<QualType> TypeTy;
OpenCLOptions OpenCLFeatures;
FPOptions CurFPFeatures;
const LangOptions &LangOpts;
Preprocessor &PP;
ASTContext &Context;
ASTConsumer &Consumer;
DiagnosticsEngine &Diags;
SourceManager &SourceMgr;
/// Flag indicating whether or not to collect detailed statistics.
bool CollectStats;
/// Code-completion consumer.
CodeCompleteConsumer *CodeCompleter;
/// CurContext - This is the current declaration context of parsing.
DeclContext *CurContext;
/// Generally null except when we temporarily switch decl contexts,
/// like in \see ActOnObjCTemporaryExitContainerContext.
DeclContext *OriginalLexicalContext;
/// VAListTagName - The declaration name corresponding to __va_list_tag.
/// This is used as part of a hack to omit that class from ADL results.
DeclarationName VAListTagName;
bool MSStructPragmaOn; // True when \#pragma ms_struct on
/// Controls member pointer representation format under the MS ABI.
LangOptions::PragmaMSPointersToMembersKind
MSPointerToMemberRepresentationMethod;
/// Stack of active SEH __finally scopes. Can be empty.
SmallVector<Scope*, 2> CurrentSEHFinally;
/// Source location for newly created implicit MSInheritanceAttrs
SourceLocation ImplicitMSInheritanceAttrLoc;
/// Holds TypoExprs that are created from `createDelayedTypo`. This is used by
/// `TransformTypos` in order to keep track of any TypoExprs that are created
/// recursively during typo correction and wipe them away if the correction
/// fails.
llvm::SmallVector<TypoExpr *, 2> TypoExprs;
/// pragma clang section kind
enum PragmaClangSectionKind {
PCSK_Invalid = 0,
PCSK_BSS = 1,
PCSK_Data = 2,
PCSK_Rodata = 3,
PCSK_Text = 4,
PCSK_Relro = 5
};
enum PragmaClangSectionAction {
PCSA_Set = 0,
PCSA_Clear = 1
};
struct PragmaClangSection {
std::string SectionName;
bool Valid = false;
SourceLocation PragmaLocation;
void Act(SourceLocation PragmaLocation,
PragmaClangSectionAction Action,
StringLiteral* Name);
};
PragmaClangSection PragmaClangBSSSection;
PragmaClangSection PragmaClangDataSection;
PragmaClangSection PragmaClangRodataSection;
PragmaClangSection PragmaClangRelroSection;
PragmaClangSection PragmaClangTextSection;
enum PragmaMsStackAction {
PSK_Reset = 0x0, // #pragma ()
PSK_Set = 0x1, // #pragma (value)
PSK_Push = 0x2, // #pragma (push[, id])
PSK_Pop = 0x4, // #pragma (pop[, id])
PSK_Show = 0x8, // #pragma (show) -- only for "pack"!
PSK_Push_Set = PSK_Push | PSK_Set, // #pragma (push[, id], value)
PSK_Pop_Set = PSK_Pop | PSK_Set, // #pragma (pop[, id], value)
};
template<typename ValueType>
struct PragmaStack {
struct Slot {
llvm::StringRef StackSlotLabel;
ValueType Value;
SourceLocation PragmaLocation;
SourceLocation PragmaPushLocation;
Slot(llvm::StringRef StackSlotLabel, ValueType Value,
SourceLocation PragmaLocation, SourceLocation PragmaPushLocation)
: StackSlotLabel(StackSlotLabel), Value(Value),
PragmaLocation(PragmaLocation),
PragmaPushLocation(PragmaPushLocation) {}
};
void Act(SourceLocation PragmaLocation, PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel, ValueType Value) {
if (Action == PSK_Reset) {
CurrentValue = DefaultValue;
CurrentPragmaLocation = PragmaLocation;
return;
}
if (Action & PSK_Push)
Stack.emplace_back(StackSlotLabel, CurrentValue, CurrentPragmaLocation,
PragmaLocation);
else if (Action & PSK_Pop) {
if (!StackSlotLabel.empty()) {
// If we've got a label, try to find it and jump there.
auto I = llvm::find_if(llvm::reverse(Stack), [&](const Slot &x) {
return x.StackSlotLabel == StackSlotLabel;
});
// If we found the label so pop from there.
if (I != Stack.rend()) {
CurrentValue = I->Value;
CurrentPragmaLocation = I->PragmaLocation;
Stack.erase(std::prev(I.base()), Stack.end());
}
} else if (!Stack.empty()) {
// We do not have a label, just pop the last entry.
CurrentValue = Stack.back().Value;
CurrentPragmaLocation = Stack.back().PragmaLocation;
Stack.pop_back();
}
}
if (Action & PSK_Set) {
CurrentValue = Value;
CurrentPragmaLocation = PragmaLocation;
}
}
// MSVC seems to add artificial slots to #pragma stacks on entering a C++
// method body to restore the stacks on exit, so it works like this:
//
// struct S {
// #pragma <name>(push, InternalPragmaSlot, <current_pragma_value>)
// void Method {}
// #pragma <name>(pop, InternalPragmaSlot)
// };
//
// It works even with #pragma vtordisp, although MSVC doesn't support
// #pragma vtordisp(push [, id], n)
// syntax.
//
// Push / pop a named sentinel slot.
void SentinelAction(PragmaMsStackAction Action, StringRef Label) {
assert((Action == PSK_Push || Action == PSK_Pop) &&
"Can only push / pop #pragma stack sentinels!");
Act(CurrentPragmaLocation, Action, Label, CurrentValue);
}
// Constructors.
explicit PragmaStack(const ValueType &Default)
: DefaultValue(Default), CurrentValue(Default) {}
bool hasValue() const { return CurrentValue != DefaultValue; }
SmallVector<Slot, 2> Stack;
ValueType DefaultValue; // Value used for PSK_Reset action.
ValueType CurrentValue;
SourceLocation CurrentPragmaLocation;
};
// FIXME: We should serialize / deserialize these if they occur in a PCH (but
// we shouldn't do so if they're in a module).
/// Whether to insert vtordisps prior to virtual bases in the Microsoft
/// C++ ABI. Possible values are 0, 1, and 2, which mean:
///
/// 0: Suppress all vtordisps
/// 1: Insert vtordisps in the presence of vbase overrides and non-trivial
/// structors
/// 2: Always insert vtordisps to support RTTI on partially constructed
/// objects
PragmaStack<MSVtorDispMode> VtorDispStack;
// #pragma pack.
// Sentinel to represent when the stack is set to mac68k alignment.
static const unsigned kMac68kAlignmentSentinel = ~0U;
PragmaStack<unsigned> PackStack;
// The current #pragma pack values and locations at each #include.
struct PackIncludeState {
unsigned CurrentValue;
SourceLocation CurrentPragmaLocation;
bool HasNonDefaultValue, ShouldWarnOnInclude;
};
SmallVector<PackIncludeState, 8> PackIncludeStack;
// Segment #pragmas.
PragmaStack<StringLiteral *> DataSegStack;
PragmaStack<StringLiteral *> BSSSegStack;
PragmaStack<StringLiteral *> ConstSegStack;
PragmaStack<StringLiteral *> CodeSegStack;
// This stack tracks the current state of Sema.CurFPFeatures.
PragmaStack<FPOptionsOverride> FpPragmaStack;
FPOptionsOverride CurFPFeatureOverrides() {
FPOptionsOverride result;
if (!FpPragmaStack.hasValue()) {
result = FPOptionsOverride();
} else {
result = FpPragmaStack.CurrentValue;
}
return result;
}
// RAII object to push / pop sentinel slots for all MS #pragma stacks.
// Actions should be performed only if we enter / exit a C++ method body.
class PragmaStackSentinelRAII {
public:
PragmaStackSentinelRAII(Sema &S, StringRef SlotLabel, bool ShouldAct);
~PragmaStackSentinelRAII();
private:
Sema &S;
StringRef SlotLabel;
bool ShouldAct;
};
/// A mapping that describes the nullability we've seen in each header file.
FileNullabilityMap NullabilityMap;
/// Last section used with #pragma init_seg.
StringLiteral *CurInitSeg;
SourceLocation CurInitSegLoc;
/// VisContext - Manages the stack for \#pragma GCC visibility.
void *VisContext; // Really a "PragmaVisStack*"
/// This an attribute introduced by \#pragma clang attribute.
struct PragmaAttributeEntry {
SourceLocation Loc;
ParsedAttr *Attribute;
SmallVector<attr::SubjectMatchRule, 4> MatchRules;
bool IsUsed;
};
/// A push'd group of PragmaAttributeEntries.
struct PragmaAttributeGroup {
/// The location of the push attribute.
SourceLocation Loc;
/// The namespace of this push group.
const IdentifierInfo *Namespace;
SmallVector<PragmaAttributeEntry, 2> Entries;
};
SmallVector<PragmaAttributeGroup, 2> PragmaAttributeStack;
/// The declaration that is currently receiving an attribute from the
/// #pragma attribute stack.
const Decl *PragmaAttributeCurrentTargetDecl;
/// This represents the last location of a "#pragma clang optimize off"
/// directive if such a directive has not been closed by an "on" yet. If
/// optimizations are currently "on", this is set to an invalid location.
SourceLocation OptimizeOffPragmaLocation;
/// Flag indicating if Sema is building a recovery call expression.
///
/// This flag is used to avoid building recovery call expressions
/// if Sema is already doing so, which would cause infinite recursions.
bool IsBuildingRecoveryCallExpr;
/// Used to control the generation of ExprWithCleanups.
CleanupInfo Cleanup;
/// ExprCleanupObjects - This is the stack of objects requiring
/// cleanup that are created by the current full expression.
SmallVector<ExprWithCleanups::CleanupObject, 8> ExprCleanupObjects;
/// Store a set 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.
using MaybeODRUseExprSet = llvm::SetVector<Expr *, SmallVector<Expr *, 4>,
llvm::SmallPtrSet<Expr *, 4>>;
MaybeODRUseExprSet MaybeODRUseExprs;
std::unique_ptr<sema::FunctionScopeInfo> CachedFunctionScope;
/// Stack containing information about each of the nested
/// function, block, and method scopes that are currently active.
SmallVector<sema::FunctionScopeInfo *, 4> FunctionScopes;
/// The index of the first FunctionScope that corresponds to the current
/// context.
unsigned FunctionScopesStart = 0;
ArrayRef<sema::FunctionScopeInfo*> getFunctionScopes() const {
return llvm::makeArrayRef(FunctionScopes.begin() + FunctionScopesStart,
FunctionScopes.end());
}
/// Stack containing information needed when in C++2a an 'auto' is encountered
/// in a function declaration parameter type specifier in order to invent a
/// corresponding template parameter in the enclosing abbreviated function
/// template. This information is also present in LambdaScopeInfo, stored in
/// the FunctionScopes stack.
SmallVector<InventedTemplateParameterInfo, 4> InventedParameterInfos;
/// The index of the first InventedParameterInfo that refers to the current
/// context.
unsigned InventedParameterInfosStart = 0;
ArrayRef<InventedTemplateParameterInfo> getInventedParameterInfos() const {
return llvm::makeArrayRef(InventedParameterInfos.begin() +
InventedParameterInfosStart,
InventedParameterInfos.end());
}
typedef LazyVector<TypedefNameDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadExtVectorDecls, 2, 2>
ExtVectorDeclsType;
/// ExtVectorDecls - This is a list all the extended vector types. This allows
/// us to associate a raw vector type with one of the ext_vector type names.
/// This is only necessary for issuing pretty diagnostics.
ExtVectorDeclsType ExtVectorDecls;
/// FieldCollector - Collects CXXFieldDecls during parsing of C++ classes.
std::unique_ptr<CXXFieldCollector> FieldCollector;
typedef llvm::SmallSetVector<NamedDecl *, 16> NamedDeclSetType;
/// Set containing all declared private fields that are not used.
NamedDeclSetType UnusedPrivateFields;
/// Set containing all typedefs that are likely unused.
llvm::SmallSetVector<const TypedefNameDecl *, 4>
UnusedLocalTypedefNameCandidates;
/// Delete-expressions to be analyzed at the end of translation unit
///
/// This list contains class members, and locations of delete-expressions
/// that could not be proven as to whether they mismatch with new-expression
/// used in initializer of the field.
typedef std::pair<SourceLocation, bool> DeleteExprLoc;
typedef llvm::SmallVector<DeleteExprLoc, 4> DeleteLocs;
llvm::MapVector<FieldDecl *, DeleteLocs> DeleteExprs;
typedef llvm::SmallPtrSet<const CXXRecordDecl*, 8> RecordDeclSetTy;
/// PureVirtualClassDiagSet - a set of class declarations which we have
/// emitted a list of pure virtual functions. Used to prevent emitting the
/// same list more than once.
std::unique_ptr<RecordDeclSetTy> PureVirtualClassDiagSet;
/// ParsingInitForAutoVars - a set of declarations with auto types for which
/// we are currently parsing the initializer.
llvm::SmallPtrSet<const Decl*, 4> ParsingInitForAutoVars;
/// Look for a locally scoped extern "C" declaration by the given name.
NamedDecl *findLocallyScopedExternCDecl(DeclarationName Name);
typedef LazyVector<VarDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadTentativeDefinitions, 2, 2>
TentativeDefinitionsType;
/// All the tentative definitions encountered in the TU.
TentativeDefinitionsType TentativeDefinitions;
/// All the external declarations encoutered and used in the TU.
SmallVector<VarDecl *, 4> ExternalDeclarations;
typedef LazyVector<const DeclaratorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadUnusedFileScopedDecls, 2, 2>
UnusedFileScopedDeclsType;
/// The set of file scoped decls seen so far that have not been used
/// and must warn if not used. Only contains the first declaration.
UnusedFileScopedDeclsType UnusedFileScopedDecls;
typedef LazyVector<CXXConstructorDecl *, ExternalSemaSource,
&ExternalSemaSource::ReadDelegatingConstructors, 2, 2>
DelegatingCtorDeclsType;
/// All the delegating constructors seen so far in the file, used for
/// cycle detection at the end of the TU.
DelegatingCtorDeclsType DelegatingCtorDecls;
/// All the overriding functions seen during a class definition
/// that had their exception spec checks delayed, plus the overridden
/// function.
SmallVector<std::pair<const CXXMethodDecl*, const CXXMethodDecl*>, 2>
DelayedOverridingExceptionSpecChecks;
/// All the function redeclarations seen during a class definition that had
/// their exception spec checks delayed, plus the prior declaration they
/// should be checked against. Except during error recovery, the new decl
/// should always be a friend declaration, as that's the only valid way to
/// redeclare a special member before its class is complete.
SmallVector<std::pair<FunctionDecl*, FunctionDecl*>, 2>
DelayedEquivalentExceptionSpecChecks;
typedef llvm::MapVector<const FunctionDecl *,
std::unique_ptr<LateParsedTemplate>>
LateParsedTemplateMapT;
LateParsedTemplateMapT LateParsedTemplateMap;
/// Callback to the parser to parse templated functions when needed.
typedef void LateTemplateParserCB(void *P, LateParsedTemplate &LPT);
typedef void LateTemplateParserCleanupCB(void *P);
LateTemplateParserCB *LateTemplateParser;
LateTemplateParserCleanupCB *LateTemplateParserCleanup;
void *OpaqueParser;
void SetLateTemplateParser(LateTemplateParserCB *LTP,
LateTemplateParserCleanupCB *LTPCleanup,
void *P) {
LateTemplateParser = LTP;
LateTemplateParserCleanup = LTPCleanup;
OpaqueParser = P;
}
class DelayedDiagnostics;
class DelayedDiagnosticsState {
sema::DelayedDiagnosticPool *SavedPool;
friend class Sema::DelayedDiagnostics;
};
typedef DelayedDiagnosticsState ParsingDeclState;
typedef DelayedDiagnosticsState ProcessingContextState;
/// A class which encapsulates the logic for delaying diagnostics
/// during parsing and other processing.
class DelayedDiagnostics {
/// The current pool of diagnostics into which delayed
/// diagnostics should go.
sema::DelayedDiagnosticPool *CurPool;
public:
DelayedDiagnostics() : CurPool(nullptr) {}
/// Adds a delayed diagnostic.
void add(const sema::DelayedDiagnostic &diag); // in DelayedDiagnostic.h
/// Determines whether diagnostics should be delayed.
bool shouldDelayDiagnostics() { return CurPool != nullptr; }
/// Returns the current delayed-diagnostics pool.
sema::DelayedDiagnosticPool *getCurrentPool() const {
return CurPool;
}
/// Enter a new scope. Access and deprecation diagnostics will be
/// collected in this pool.
DelayedDiagnosticsState push(sema::DelayedDiagnosticPool &pool) {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = &pool;
return state;
}
/// Leave a delayed-diagnostic state that was previously pushed.
/// Do not emit any of the diagnostics. This is performed as part
/// of the bookkeeping of popping a pool "properly".
void popWithoutEmitting(DelayedDiagnosticsState state) {
CurPool = state.SavedPool;
}
/// Enter a new scope where access and deprecation diagnostics are
/// not delayed.
DelayedDiagnosticsState pushUndelayed() {
DelayedDiagnosticsState state;
state.SavedPool = CurPool;
CurPool = nullptr;
return state;
}
/// Undo a previous pushUndelayed().
void popUndelayed(DelayedDiagnosticsState state) {
assert(CurPool == nullptr);
CurPool = state.SavedPool;
}
} DelayedDiagnostics;
/// A RAII object to temporarily push a declaration context.
class ContextRAII {
private:
Sema &S;
DeclContext *SavedContext;
ProcessingContextState SavedContextState;
QualType SavedCXXThisTypeOverride;
unsigned SavedFunctionScopesStart;
unsigned SavedInventedParameterInfosStart;
public:
ContextRAII(Sema &S, DeclContext *ContextToPush, bool NewThisContext = true)
: S(S), SavedContext(S.CurContext),
SavedContextState(S.DelayedDiagnostics.pushUndelayed()),
SavedCXXThisTypeOverride(S.CXXThisTypeOverride),
SavedFunctionScopesStart(S.FunctionScopesStart),
SavedInventedParameterInfosStart(S.InventedParameterInfosStart)
{
assert(ContextToPush && "pushing null context");
S.CurContext = ContextToPush;
if (NewThisContext)
S.CXXThisTypeOverride = QualType();
// Any saved FunctionScopes do not refer to this context.
S.FunctionScopesStart = S.FunctionScopes.size();
S.InventedParameterInfosStart = S.InventedParameterInfos.size();
}
void pop() {
if (!SavedContext) return;
S.CurContext = SavedContext;
S.DelayedDiagnostics.popUndelayed(SavedContextState);
S.CXXThisTypeOverride = SavedCXXThisTypeOverride;
S.FunctionScopesStart = SavedFunctionScopesStart;
S.InventedParameterInfosStart = SavedInventedParameterInfosStart;
SavedContext = nullptr;
}
~ContextRAII() {
pop();
}
};
/// Whether the AST is currently being rebuilt to correct immediate
/// invocations. Immediate invocation candidates and references to consteval
/// functions aren't tracked when this is set.
bool RebuildingImmediateInvocation = false;
/// Used to change context to isConstantEvaluated without pushing a heavy
/// ExpressionEvaluationContextRecord object.
bool isConstantEvaluatedOverride;
bool isConstantEvaluated() {
return ExprEvalContexts.back().isConstantEvaluated() ||
isConstantEvaluatedOverride;
}
/// RAII object to handle the state changes required to synthesize
/// a function body.
class SynthesizedFunctionScope {
Sema &S;
Sema::ContextRAII SavedContext;
bool PushedCodeSynthesisContext = false;
public:
SynthesizedFunctionScope(Sema &S, DeclContext *DC)
: S(S), SavedContext(S, DC) {
S.PushFunctionScope();
S.PushExpressionEvaluationContext(
Sema::ExpressionEvaluationContext::PotentiallyEvaluated);
if (auto *FD = dyn_cast<FunctionDecl>(DC))
FD->setWillHaveBody(true);
else
assert(isa<ObjCMethodDecl>(DC));
}
void addContextNote(SourceLocation UseLoc) {
assert(!PushedCodeSynthesisContext);
Sema::CodeSynthesisContext Ctx;
Ctx.Kind = Sema::CodeSynthesisContext::DefiningSynthesizedFunction;
Ctx.PointOfInstantiation = UseLoc;
Ctx.Entity = cast<Decl>(S.CurContext);
S.pushCodeSynthesisContext(Ctx);
PushedCodeSynthesisContext = true;
}
~SynthesizedFunctionScope() {
if (PushedCodeSynthesisContext)
S.popCodeSynthesisContext();
if (auto *FD = dyn_cast<FunctionDecl>(S.CurContext))
FD->setWillHaveBody(false);
S.PopExpressionEvaluationContext();
S.PopFunctionScopeInfo();
}
};
/// WeakUndeclaredIdentifiers - Identifiers contained in
/// \#pragma weak before declared. rare. may alias another
/// identifier, declared or undeclared
llvm::MapVector<IdentifierInfo *, WeakInfo> WeakUndeclaredIdentifiers;
/// ExtnameUndeclaredIdentifiers - Identifiers contained in
/// \#pragma redefine_extname before declared. Used in Solaris system headers
/// to define functions that occur in multiple standards to call the version
/// in the currently selected standard.
llvm::DenseMap<IdentifierInfo*,AsmLabelAttr*> ExtnameUndeclaredIdentifiers;
/// Load weak undeclared identifiers from the external source.
void LoadExternalWeakUndeclaredIdentifiers();
/// WeakTopLevelDecl - Translation-unit scoped declarations generated by
/// \#pragma weak during processing of other Decls.
/// I couldn't figure out a clean way to generate these in-line, so
/// we store them here and handle separately -- which is a hack.
/// It would be best to refactor this.
SmallVector<Decl*,2> WeakTopLevelDecl;
IdentifierResolver IdResolver;
/// Translation Unit Scope - useful to Objective-C actions that need
/// to lookup file scope declarations in the "ordinary" C decl namespace.
/// For example, user-defined classes, built-in "id" type, etc.
Scope *TUScope;
/// The C++ "std" namespace, where the standard library resides.
LazyDeclPtr StdNamespace;
/// The C++ "std::bad_alloc" class, which is defined by the C++
/// standard library.
LazyDeclPtr StdBadAlloc;
/// The C++ "std::align_val_t" enum class, which is defined by the C++
/// standard library.
LazyDeclPtr StdAlignValT;
/// The C++ "std::experimental" namespace, where the experimental parts
/// of the standard library resides.
NamespaceDecl *StdExperimentalNamespaceCache;
/// The C++ "std::initializer_list" template, which is defined in
/// \<initializer_list>.
ClassTemplateDecl *StdInitializerList;
/// The C++ "std::coroutine_traits" template, which is defined in
/// \<coroutine_traits>
ClassTemplateDecl *StdCoroutineTraitsCache;
/// The C++ "type_info" declaration, which is defined in \<typeinfo>.
RecordDecl *CXXTypeInfoDecl;
/// The MSVC "_GUID" struct, which is defined in MSVC header files.
RecordDecl *MSVCGuidDecl;
/// Caches identifiers/selectors for NSFoundation APIs.
std::unique_ptr<NSAPI> NSAPIObj;
/// The declaration of the Objective-C NSNumber class.
ObjCInterfaceDecl *NSNumberDecl;
/// The declaration of the Objective-C NSValue class.
ObjCInterfaceDecl *NSValueDecl;
/// Pointer to NSNumber type (NSNumber *).
QualType NSNumberPointer;
/// Pointer to NSValue type (NSValue *).
QualType NSValuePointer;
/// The Objective-C NSNumber methods used to create NSNumber literals.
ObjCMethodDecl *NSNumberLiteralMethods[NSAPI::NumNSNumberLiteralMethods];
/// The declaration of the Objective-C NSString class.
ObjCInterfaceDecl *NSStringDecl;
/// Pointer to NSString type (NSString *).
QualType NSStringPointer;
/// The declaration of the stringWithUTF8String: method.
ObjCMethodDecl *StringWithUTF8StringMethod;
/// The declaration of the valueWithBytes:objCType: method.
ObjCMethodDecl *ValueWithBytesObjCTypeMethod;
/// The declaration of the Objective-C NSArray class.
ObjCInterfaceDecl *NSArrayDecl;
/// The declaration of the arrayWithObjects:count: method.
ObjCMethodDecl *ArrayWithObjectsMethod;
/// The declaration of the Objective-C NSDictionary class.
ObjCInterfaceDecl *NSDictionaryDecl;
/// The declaration of the dictionaryWithObjects:forKeys:count: method.
ObjCMethodDecl *DictionaryWithObjectsMethod;
/// id<NSCopying> type.
QualType QIDNSCopying;
/// will hold 'respondsToSelector:'
Selector RespondsToSelectorSel;
/// A flag to remember whether the implicit forms of operator new and delete
/// have been declared.
bool GlobalNewDeleteDeclared;
/// A flag to indicate that we're in a context that permits abstract
/// references to fields. This is really a
bool AllowAbstractFieldReference;
/// Describes how the expressions currently being parsed are
/// evaluated at run-time, if at all.
enum class ExpressionEvaluationContext {
/// The current expression and its subexpressions occur within an
/// unevaluated operand (C++11 [expr]p7), such as the subexpression of
/// \c sizeof, where the type of the expression may be significant but
/// no code will be generated to evaluate the value of the expression at
/// run time.
Unevaluated,
/// The current expression occurs within a braced-init-list within
/// an unevaluated operand. This is mostly like a regular unevaluated
/// context, except that we still instantiate constexpr functions that are
/// referenced here so that we can perform narrowing checks correctly.
UnevaluatedList,
/// The current expression occurs within a discarded statement.
/// This behaves largely similarly to an unevaluated operand in preventing
/// definitions from being required, but not in other ways.
DiscardedStatement,
/// The current expression occurs within an unevaluated
/// operand that unconditionally permits abstract references to
/// fields, such as a SIZE operator in MS-style inline assembly.
UnevaluatedAbstract,
/// The current context is "potentially evaluated" in C++11 terms,
/// but the expression is evaluated at compile-time (like the values of
/// cases in a switch statement).
ConstantEvaluated,
/// The current expression is potentially evaluated at run time,
/// which means that code may be generated to evaluate the value of the
/// expression at run time.
PotentiallyEvaluated,
/// The current expression is potentially evaluated, but any
/// declarations referenced inside that expression are only used if
/// in fact the current expression is used.
///
/// This value is used when parsing default function arguments, for which
/// we would like to provide diagnostics (e.g., passing non-POD arguments
/// through varargs) but do not want to mark declarations as "referenced"
/// until the default argument is used.
PotentiallyEvaluatedIfUsed
};
using ImmediateInvocationCandidate = llvm::PointerIntPair<ConstantExpr *, 1>;
/// Data structure used to record current or nested
/// expression evaluation contexts.
struct ExpressionEvaluationContextRecord {
/// The expression evaluation context.
ExpressionEvaluationContext Context;
/// Whether the enclosing context needed a cleanup.
CleanupInfo ParentCleanup;
/// Whether we are in a decltype expression.
bool IsDecltype;
/// The number of active cleanup objects when we entered
/// this expression evaluation context.
unsigned NumCleanupObjects;
/// The number of typos encountered during this expression evaluation
/// context (i.e. the number of TypoExprs created).
unsigned NumTypos;
MaybeODRUseExprSet SavedMaybeODRUseExprs;
/// The lambdas that are present within this context, if it
/// is indeed an unevaluated context.
SmallVector<LambdaExpr *, 2> Lambdas;
/// The declaration that provides context for lambda expressions
/// and block literals if the normal declaration context does not
/// suffice, e.g., in a default function argument.
Decl *ManglingContextDecl;
/// If we are processing a decltype type, a set of call expressions
/// for which we have deferred checking the completeness of the return type.
SmallVector<CallExpr *, 8> DelayedDecltypeCalls;
/// If we are processing a decltype type, a set of temporary binding
/// expressions for which we have deferred checking the destructor.
SmallVector<CXXBindTemporaryExpr *, 8> DelayedDecltypeBinds;
llvm::SmallPtrSet<const Expr *, 8> PossibleDerefs;
/// Expressions appearing as the LHS of a volatile assignment in this
/// context. We produce a warning for these when popping the context if
/// they are not discarded-value expressions nor unevaluated operands.
SmallVector<Expr*, 2> VolatileAssignmentLHSs;
/// Set of candidates for starting an immediate invocation.
llvm::SmallVector<ImmediateInvocationCandidate, 4> ImmediateInvocationCandidates;
/// Set of DeclRefExprs referencing a consteval function when used in a
/// context not already known to be immediately invoked.
llvm::SmallPtrSet<DeclRefExpr *, 4> ReferenceToConsteval;
/// \brief Describes whether we are in an expression constext which we have
/// to handle differently.
enum ExpressionKind {
EK_Decltype, EK_TemplateArgument, EK_Other
} ExprContext;
ExpressionEvaluationContextRecord(ExpressionEvaluationContext Context,
unsigned NumCleanupObjects,
CleanupInfo ParentCleanup,
Decl *ManglingContextDecl,
ExpressionKind ExprContext)
: Context(Context), ParentCleanup(ParentCleanup),
NumCleanupObjects(NumCleanupObjects), NumTypos(0),
ManglingContextDecl(ManglingContextDecl), ExprContext(ExprContext) {}
bool isUnevaluated() const {
return Context == ExpressionEvaluationContext::Unevaluated ||
Context == ExpressionEvaluationContext::UnevaluatedAbstract ||
Context == ExpressionEvaluationContext::UnevaluatedList;
}
bool isConstantEvaluated() const {
return Context == ExpressionEvaluationContext::ConstantEvaluated;
}
};
/// A stack of expression evaluation contexts.
SmallVector<ExpressionEvaluationContextRecord, 8> ExprEvalContexts;
/// Emit a warning for all pending noderef expressions that we recorded.
void WarnOnPendingNoDerefs(ExpressionEvaluationContextRecord &Rec);
/// Compute the mangling number context for a lambda expression or
/// block literal. Also return the extra mangling decl if any.
///
/// \param DC - The DeclContext containing the lambda expression or
/// block literal.
std::tuple<MangleNumberingContext *, Decl *>
getCurrentMangleNumberContext(const DeclContext *DC);
/// SpecialMemberOverloadResult - The overloading result for a special member
/// function.
///
/// This is basically a wrapper around PointerIntPair. The lowest bits of the
/// integer are used to determine whether overload resolution succeeded.
class SpecialMemberOverloadResult {
public:
enum Kind {
NoMemberOrDeleted,
Ambiguous,
Success
};
private:
llvm::PointerIntPair<CXXMethodDecl*, 2> Pair;
public:
SpecialMemberOverloadResult() : Pair() {}
SpecialMemberOverloadResult(CXXMethodDecl *MD)
: Pair(MD, MD->isDeleted() ? NoMemberOrDeleted : Success) {}
CXXMethodDecl *getMethod() const { return Pair.getPointer(); }
void setMethod(CXXMethodDecl *MD) { Pair.setPointer(MD); }
Kind getKind() const { return static_cast<Kind>(Pair.getInt()); }
void setKind(Kind K) { Pair.setInt(K); }
};
class SpecialMemberOverloadResultEntry
: public llvm::FastFoldingSetNode,
public SpecialMemberOverloadResult {
public:
SpecialMemberOverloadResultEntry(const llvm::FoldingSetNodeID &ID)
: FastFoldingSetNode(ID)
{}
};
/// A cache of special member function overload resolution results
/// for C++ records.
llvm::FoldingSet<SpecialMemberOverloadResultEntry> SpecialMemberCache;
/// A cache of the flags available in enumerations with the flag_bits
/// attribute.
mutable llvm::DenseMap<const EnumDecl*, llvm::APInt> FlagBitsCache;
/// The kind of translation unit we are processing.
///
/// When we're processing a complete translation unit, Sema will perform
/// end-of-translation-unit semantic tasks (such as creating
/// initializers for tentative definitions in C) once parsing has
/// completed. Modules and precompiled headers perform different kinds of
/// checks.
TranslationUnitKind TUKind;
llvm::BumpPtrAllocator BumpAlloc;
/// The number of SFINAE diagnostics that have been trapped.
unsigned NumSFINAEErrors;
typedef llvm::DenseMap<ParmVarDecl *, llvm::TinyPtrVector<ParmVarDecl *>>
UnparsedDefaultArgInstantiationsMap;
/// A mapping from parameters with unparsed default arguments to the
/// set of instantiations of each parameter.
///
/// This mapping is a temporary data structure used when parsing
/// nested class templates or nested classes of class templates,
/// where we might end up instantiating an inner class before the
/// default arguments of its methods have been parsed.
UnparsedDefaultArgInstantiationsMap UnparsedDefaultArgInstantiations;
// Contains the locations of the beginning of unparsed default
// argument locations.
llvm::DenseMap<ParmVarDecl *, SourceLocation> UnparsedDefaultArgLocs;
/// UndefinedInternals - all the used, undefined objects which require a
/// definition in this translation unit.
llvm::MapVector<NamedDecl *, SourceLocation> UndefinedButUsed;
/// Determine if VD, which must be a variable or function, is an external
/// symbol that nonetheless can't be referenced from outside this translation
/// unit because its type has no linkage and it's not extern "C".
bool isExternalWithNoLinkageType(ValueDecl *VD);
/// Obtain a sorted list of functions that are undefined but ODR-used.
void getUndefinedButUsed(
SmallVectorImpl<std::pair<NamedDecl *, SourceLocation> > &Undefined);
/// Retrieves list of suspicious delete-expressions that will be checked at
/// the end of translation unit.
const llvm::MapVector<FieldDecl *, DeleteLocs> &
getMismatchingDeleteExpressions() const;
typedef std::pair<ObjCMethodList, ObjCMethodList> GlobalMethods;
typedef llvm::DenseMap<Selector, GlobalMethods> GlobalMethodPool;
/// Method Pool - allows efficient lookup when typechecking messages to "id".
/// We need to maintain a list, since selectors can have differing signatures
/// across classes. In Cocoa, this happens to be extremely uncommon (only 1%
/// of selectors are "overloaded").
/// At the head of the list it is recorded whether there were 0, 1, or >= 2
/// methods inside categories with a particular selector.
GlobalMethodPool MethodPool;
/// Method selectors used in a \@selector expression. Used for implementation
/// of -Wselector.
llvm::MapVector<Selector, SourceLocation> ReferencedSelectors;
/// List of SourceLocations where 'self' is implicitly retained inside a
/// block.
llvm::SmallVector<std::pair<SourceLocation, const BlockDecl *>, 1>
ImplicitlyRetainedSelfLocs;
/// Kinds of C++ special members.
enum CXXSpecialMember {
CXXDefaultConstructor,
CXXCopyConstructor,
CXXMoveConstructor,
CXXCopyAssignment,
CXXMoveAssignment,
CXXDestructor,
CXXInvalid
};
typedef llvm::PointerIntPair<CXXRecordDecl *, 3, CXXSpecialMember>
SpecialMemberDecl;
/// The C++ special members which we are currently in the process of
/// declaring. If this process recursively triggers the declaration of the
/// same special member, we should act as if it is not yet declared.
llvm::SmallPtrSet<SpecialMemberDecl, 4> SpecialMembersBeingDeclared;
/// Kinds of defaulted comparison operator functions.
enum class DefaultedComparisonKind : unsigned char {
/// This is not a defaultable comparison operator.
None,
/// This is an operator== that should be implemented as a series of
/// subobject comparisons.
Equal,
/// This is an operator<=> that should be implemented as a series of
/// subobject comparisons.
ThreeWay,
/// This is an operator!= that should be implemented as a rewrite in terms
/// of a == comparison.
NotEqual,
/// This is an <, <=, >, or >= that should be implemented as a rewrite in
/// terms of a <=> comparison.
Relational,
};
/// The function definitions which were renamed as part of typo-correction
/// to match their respective declarations. We want to keep track of them
/// to ensure that we don't emit a "redefinition" error if we encounter a
/// correctly named definition after the renamed definition.
llvm::SmallPtrSet<const NamedDecl *, 4> TypoCorrectedFunctionDefinitions;
/// Stack of types that correspond to the parameter entities that are
/// currently being copy-initialized. Can be empty.
llvm::SmallVector<QualType, 4> CurrentParameterCopyTypes;
void ReadMethodPool(Selector Sel);
void updateOutOfDateSelector(Selector Sel);
/// Private Helper predicate to check for 'self'.
bool isSelfExpr(Expr *RExpr);
bool isSelfExpr(Expr *RExpr, const ObjCMethodDecl *Method);
/// Cause the active diagnostic on the DiagosticsEngine to be
/// emitted. This is closely coupled to the SemaDiagnosticBuilder class and
/// should not be used elsewhere.
void EmitCurrentDiagnostic(unsigned DiagID);
/// Records and restores the CurFPFeatures state on entry/exit of compound
/// statements.
class FPFeaturesStateRAII {
public:
FPFeaturesStateRAII(Sema &S) : S(S), OldFPFeaturesState(S.CurFPFeatures) {
OldOverrides = S.FpPragmaStack.CurrentValue;
}
~FPFeaturesStateRAII() {
S.CurFPFeatures = OldFPFeaturesState;
S.FpPragmaStack.CurrentValue = OldOverrides;
}
FPOptionsOverride getOverrides() { return OldOverrides; }
private:
Sema& S;
FPOptions OldFPFeaturesState;
FPOptionsOverride OldOverrides;
};
void addImplicitTypedef(StringRef Name, QualType T);
bool WarnedStackExhausted = false;
public:
Sema(Preprocessor &pp, ASTContext &ctxt, ASTConsumer &consumer,
TranslationUnitKind TUKind = TU_Complete,
CodeCompleteConsumer *CompletionConsumer = nullptr);
~Sema();
/// Perform initialization that occurs after the parser has been
/// initialized but before it parses anything.
void Initialize();
const LangOptions &getLangOpts() const { return LangOpts; }
OpenCLOptions &getOpenCLOptions() { return OpenCLFeatures; }
FPOptions &getCurFPFeatures() { return CurFPFeatures; }
DiagnosticsEngine &getDiagnostics() const { return Diags; }
SourceManager &getSourceManager() const { return SourceMgr; }
Preprocessor &getPreprocessor() const { return PP; }
ASTContext &getASTContext() const { return Context; }
ASTConsumer &getASTConsumer() const { return Consumer; }
ASTMutationListener *getASTMutationListener() const;
ExternalSemaSource* getExternalSource() const { return ExternalSource; }
///Registers an external source. If an external source already exists,
/// creates a multiplex external source and appends to it.
///
///\param[in] E - A non-null external sema source.
///
void addExternalSource(ExternalSemaSource *E);
void PrintStats() const;
/// Warn that the stack is nearly exhausted.
void warnStackExhausted(SourceLocation Loc);
/// Run some code with "sufficient" stack space. (Currently, at least 256K is
/// guaranteed). Produces a warning if we're low on stack space and allocates
/// more in that case. Use this in code that may recurse deeply (for example,
/// in template instantiation) to avoid stack overflow.
void runWithSufficientStackSpace(SourceLocation Loc,
llvm::function_ref<void()> Fn);
/// Helper class that creates diagnostics with optional
/// template instantiation stacks.
///
/// This class provides a wrapper around the basic DiagnosticBuilder
/// class that emits diagnostics. SemaDiagnosticBuilder is
/// responsible for emitting the diagnostic (as DiagnosticBuilder
/// does) and, if the diagnostic comes from inside a template
/// instantiation, printing the template instantiation stack as
/// well.
class SemaDiagnosticBuilder : public DiagnosticBuilder {
Sema &SemaRef;
unsigned DiagID;
public:
SemaDiagnosticBuilder(DiagnosticBuilder &DB, Sema &SemaRef, unsigned DiagID)
: DiagnosticBuilder(DB), SemaRef(SemaRef), DiagID(DiagID) { }
// This is a cunning lie. DiagnosticBuilder actually performs move
// construction in its copy constructor (but due to varied uses, it's not
// possible to conveniently express this as actual move construction). So
// the default copy ctor here is fine, because the base class disables the
// source anyway, so the user-defined ~SemaDiagnosticBuilder is a safe no-op
// in that case anwyay.
SemaDiagnosticBuilder(const SemaDiagnosticBuilder&) = default;
~SemaDiagnosticBuilder() {
// If we aren't active, there is nothing to do.
if (!isActive()) return;
// Otherwise, we need to emit the diagnostic. First flush the underlying
// DiagnosticBuilder data, and clear the diagnostic builder itself so it
// won't emit the diagnostic in its own destructor.
//
// This seems wasteful, in that as written the DiagnosticBuilder dtor will
// do its own needless checks to see if the diagnostic needs to be
// emitted. However, because we take care to ensure that the builder
// objects never escape, a sufficiently smart compiler will be able to
// eliminate that code.
FlushCounts();
Clear();
// Dispatch to Sema to emit the diagnostic.
SemaRef.EmitCurrentDiagnostic(DiagID);
}
/// Teach operator<< to produce an object of the correct type.
template<typename T>
friend const SemaDiagnosticBuilder &operator<<(
const SemaDiagnosticBuilder &Diag, const T &Value) {
const DiagnosticBuilder &BaseDiag = Diag;
BaseDiag << Value;
return Diag;
}
};
/// Emit a diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, unsigned DiagID) {
DiagnosticBuilder DB = Diags.Report(Loc, DiagID);
return SemaDiagnosticBuilder(DB, *this, DiagID);
}
/// Emit a partial diagnostic.
SemaDiagnosticBuilder Diag(SourceLocation Loc, const PartialDiagnostic& PD);
/// Build a partial diagnostic.
PartialDiagnostic PDiag(unsigned DiagID = 0); // in SemaInternal.h
bool findMacroSpelling(SourceLocation &loc, StringRef name);
/// Get a string to suggest for zero-initialization of a type.
std::string
getFixItZeroInitializerForType(QualType T, SourceLocation Loc) const;
std::string getFixItZeroLiteralForType(QualType T, SourceLocation Loc) const;
/// Calls \c Lexer::getLocForEndOfToken()
SourceLocation getLocForEndOfToken(SourceLocation Loc, unsigned Offset = 0);
/// Retrieve the module loader associated with the preprocessor.
ModuleLoader &getModuleLoader() const;
/// Invent a new identifier for parameters of abbreviated templates.
IdentifierInfo *
InventAbbreviatedTemplateParameterTypeName(IdentifierInfo *ParamName,
unsigned Index);
void emitAndClearUnusedLocalTypedefWarnings();
private:
/// Function or variable declarations to be checked for whether the deferred
/// diagnostics should be emitted.
SmallVector<Decl *, 4> DeclsToCheckForDeferredDiags;
public:
// Emit all deferred diagnostics.
void emitDeferredDiags();
enum TUFragmentKind {
/// The global module fragment, between 'module;' and a module-declaration.
Global,
/// A normal translation unit fragment. For a non-module unit, this is the
/// entire translation unit. Otherwise, it runs from the module-declaration
/// to the private-module-fragment (if any) or the end of the TU (if not).
Normal,
/// The private module fragment, between 'module :private;' and the end of
/// the translation unit.
Private
};
void ActOnStartOfTranslationUnit();
void ActOnEndOfTranslationUnit();
void ActOnEndOfTranslationUnitFragment(TUFragmentKind Kind);
void CheckDelegatingCtorCycles();
Scope *getScopeForContext(DeclContext *Ctx);
void PushFunctionScope();
void PushBlockScope(Scope *BlockScope, BlockDecl *Block);
sema::LambdaScopeInfo *PushLambdaScope();
/// This is used to inform Sema what the current TemplateParameterDepth
/// is during Parsing. Currently it is used to pass on the depth
/// when parsing generic lambda 'auto' parameters.
void RecordParsingTemplateParameterDepth(unsigned Depth);
void PushCapturedRegionScope(Scope *RegionScope, CapturedDecl *CD,
RecordDecl *RD, CapturedRegionKind K,
unsigned OpenMPCaptureLevel = 0);
/// Custom deleter to allow FunctionScopeInfos to be kept alive for a short
/// time after they've been popped.
class PoppedFunctionScopeDeleter {
Sema *Self;
public:
explicit PoppedFunctionScopeDeleter(Sema *Self) : Self(Self) {}
void operator()(sema::FunctionScopeInfo *Scope) const;
};
using PoppedFunctionScopePtr =
std::unique_ptr<sema::FunctionScopeInfo, PoppedFunctionScopeDeleter>;
PoppedFunctionScopePtr
PopFunctionScopeInfo(const sema::AnalysisBasedWarnings::Policy *WP = nullptr,
const Decl *D = nullptr,
QualType BlockType = QualType());
sema::FunctionScopeInfo *getCurFunction() const {
return FunctionScopes.empty() ? nullptr : FunctionScopes.back();
}
sema::FunctionScopeInfo *getEnclosingFunction() const;
void setFunctionHasBranchIntoScope();
void setFunctionHasBranchProtectedScope();
void setFunctionHasIndirectGoto();
void PushCompoundScope(bool IsStmtExpr);
void PopCompoundScope();
sema::CompoundScopeInfo &getCurCompoundScope() const;
bool hasAnyUnrecoverableErrorsInThisFunction() const;
/// Retrieve the current block, if any.
sema::BlockScopeInfo *getCurBlock();
/// Get the innermost lambda enclosing the current location, if any. This
/// looks through intervening non-lambda scopes such as local functions and
/// blocks.
sema::LambdaScopeInfo *getEnclosingLambda() const;
/// Retrieve the current lambda scope info, if any.
/// \param IgnoreNonLambdaCapturingScope true if should find the top-most
/// lambda scope info ignoring all inner capturing scopes that are not
/// lambda scopes.
sema::LambdaScopeInfo *
getCurLambda(bool IgnoreNonLambdaCapturingScope = false);
/// Retrieve the current generic lambda info, if any.
sema::LambdaScopeInfo *getCurGenericLambda();
/// Retrieve the current captured region, if any.
sema::CapturedRegionScopeInfo *getCurCapturedRegion();
/// WeakTopLevelDeclDecls - access to \#pragma weak-generated Decls
SmallVectorImpl<Decl *> &WeakTopLevelDecls() { return WeakTopLevelDecl; }
/// Called before parsing a function declarator belonging to a function
/// declaration.
void ActOnStartFunctionDeclarationDeclarator(Declarator &D,
unsigned TemplateParameterDepth);
/// Called after parsing a function declarator belonging to a function
/// declaration.
void ActOnFinishFunctionDeclarationDeclarator(Declarator &D);
void ActOnComment(SourceRange Comment);
//===--------------------------------------------------------------------===//
// Type Analysis / Processing: SemaType.cpp.
//
QualType BuildQualifiedType(QualType T, SourceLocation Loc, Qualifiers Qs,
const DeclSpec *DS = nullptr);
QualType BuildQualifiedType(QualType T, SourceLocation Loc, unsigned CVRA,
const DeclSpec *DS = nullptr);
QualType BuildPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildReferenceType(QualType T, bool LValueRef,
SourceLocation Loc, DeclarationName Entity);
QualType BuildArrayType(QualType T, ArrayType::ArraySizeModifier ASM,
Expr *ArraySize, unsigned Quals,
SourceRange Brackets, DeclarationName Entity);
QualType BuildVectorType(QualType T, Expr *VecSize, SourceLocation AttrLoc);
QualType BuildExtVectorType(QualType T, Expr *ArraySize,
SourceLocation AttrLoc);
QualType BuildMatrixType(QualType T, Expr *NumRows, Expr *NumColumns,
SourceLocation AttrLoc);
QualType BuildAddressSpaceAttr(QualType &T, LangAS ASIdx, Expr *AddrSpace,
SourceLocation AttrLoc);
/// Same as above, but constructs the AddressSpace index if not provided.
QualType BuildAddressSpaceAttr(QualType &T, Expr *AddrSpace,
SourceLocation AttrLoc);
SYCLIntelFPGAIVDepAttr *
BuildSYCLIntelFPGAIVDepAttr(const AttributeCommonInfo &CI, Expr *Expr1,
Expr *Expr2);
template <typename FPGALoopAttrT>
FPGALoopAttrT *BuildSYCLIntelFPGALoopAttr(const AttributeCommonInfo &A,
Expr *E = nullptr);
LoopUnrollHintAttr *BuildLoopUnrollHintAttr(const AttributeCommonInfo &A,
Expr *E);
OpenCLUnrollHintAttr *
BuildOpenCLLoopUnrollHintAttr(const AttributeCommonInfo &A, Expr *E);
bool CheckQualifiedFunctionForTypeId(QualType T, SourceLocation Loc);
bool CheckFunctionReturnType(QualType T, SourceLocation Loc);
/// Build a function type.
///
/// This routine checks the function type according to C++ rules and
/// under the assumption that the result type and parameter types have
/// just been instantiated from a template. It therefore duplicates
/// some of the behavior of GetTypeForDeclarator, but in a much
/// simpler form that is only suitable for this narrow use case.
///
/// \param T The return type of the function.
///
/// \param ParamTypes The parameter types of the function. This array
/// will be modified to account for adjustments to the types of the
/// function parameters.
///
/// \param Loc The location of the entity whose type involves this
/// function type or, if there is no such entity, the location of the
/// type that will have function type.
///
/// \param Entity The name of the entity that involves the function
/// type, if known.
///
/// \param EPI Extra information about the function type. Usually this will
/// be taken from an existing function with the same prototype.
///
/// \returns A suitable function type, if there are no errors. The
/// unqualified type will always be a FunctionProtoType.
/// Otherwise, returns a NULL type.
QualType BuildFunctionType(QualType T,
MutableArrayRef<QualType> ParamTypes,
SourceLocation Loc, DeclarationName Entity,
const FunctionProtoType::ExtProtoInfo &EPI);
QualType BuildMemberPointerType(QualType T, QualType Class,
SourceLocation Loc,
DeclarationName Entity);
QualType BuildBlockPointerType(QualType T,
SourceLocation Loc, DeclarationName Entity);
QualType BuildParenType(QualType T);
QualType BuildAtomicType(QualType T, SourceLocation Loc);
QualType BuildReadPipeType(QualType T,
SourceLocation Loc);
QualType BuildWritePipeType(QualType T,
SourceLocation Loc);
QualType BuildExtIntType(bool IsUnsigned, Expr *BitWidth, SourceLocation Loc);
TypeSourceInfo *GetTypeForDeclarator(Declarator &D, Scope *S);
TypeSourceInfo *GetTypeForDeclaratorCast(Declarator &D, QualType FromTy);
/// Package the given type and TSI into a ParsedType.
ParsedType CreateParsedType(QualType T, TypeSourceInfo *TInfo);
DeclarationNameInfo GetNameForDeclarator(Declarator &D);
DeclarationNameInfo GetNameFromUnqualifiedId(const UnqualifiedId &Name);
static QualType GetTypeFromParser(ParsedType Ty,
TypeSourceInfo **TInfo = nullptr);
CanThrowResult canThrow(const Stmt *E);
/// Determine whether the callee of a particular function call can throw.
/// E, D and Loc are all optional.
static CanThrowResult canCalleeThrow(Sema &S, const Expr *E, const Decl *D,
SourceLocation Loc = SourceLocation());
const FunctionProtoType *ResolveExceptionSpec(SourceLocation Loc,
const FunctionProtoType *FPT);
void UpdateExceptionSpec(FunctionDecl *FD,
const FunctionProtoType::ExceptionSpecInfo &ESI);
bool CheckSpecifiedExceptionType(QualType &T, SourceRange Range);
bool CheckDistantExceptionSpec(QualType T);
bool CheckEquivalentExceptionSpec(FunctionDecl *Old, FunctionDecl *New);
bool CheckEquivalentExceptionSpec(
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool CheckEquivalentExceptionSpec(
const PartialDiagnostic &DiagID, const PartialDiagnostic & NoteID,
const FunctionProtoType *Old, SourceLocation OldLoc,
const FunctionProtoType *New, SourceLocation NewLoc);
bool handlerCanCatch(QualType HandlerType, QualType ExceptionType);
bool CheckExceptionSpecSubset(const PartialDiagnostic &DiagID,
const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const PartialDiagnostic &NoThrowDiagID,
const FunctionProtoType *Superset,
SourceLocation SuperLoc,
const FunctionProtoType *Subset,
SourceLocation SubLoc);
bool CheckParamExceptionSpec(const PartialDiagnostic &NestedDiagID,
const PartialDiagnostic &NoteID,
const FunctionProtoType *Target,
SourceLocation TargetLoc,
const FunctionProtoType *Source,
SourceLocation SourceLoc);
TypeResult ActOnTypeName(Scope *S, Declarator &D);
/// The parser has parsed the context-sensitive type 'instancetype'
/// in an Objective-C message declaration. Return the appropriate type.
ParsedType ActOnObjCInstanceType(SourceLocation Loc);
/// Abstract class used to diagnose incomplete types.
struct TypeDiagnoser {
TypeDiagnoser() {}
virtual void diagnose(Sema &S, SourceLocation Loc, QualType T) = 0;
virtual ~TypeDiagnoser() {}
};
static int getPrintable(int I) { return I; }
static unsigned getPrintable(unsigned I) { return I; }
static bool getPrintable(bool B) { return B; }
static const char * getPrintable(const char *S) { return S; }
static StringRef getPrintable(StringRef S) { return S; }
static const std::string &getPrintable(const std::string &S) { return S; }
static const IdentifierInfo *getPrintable(const IdentifierInfo *II) {
return II;
}
static DeclarationName getPrintable(DeclarationName N) { return N; }
static QualType getPrintable(QualType T) { return T; }
static SourceRange getPrintable(SourceRange R) { return R; }
static SourceRange getPrintable(SourceLocation L) { return L; }
static SourceRange getPrintable(const Expr *E) { return E->getSourceRange(); }
static SourceRange getPrintable(TypeLoc TL) { return TL.getSourceRange();}
template <typename... Ts> class BoundTypeDiagnoser : public TypeDiagnoser {
protected:
unsigned DiagID;
std::tuple<const Ts &...> Args;
template <std::size_t... Is>
void emit(const SemaDiagnosticBuilder &DB,
std::index_sequence<Is...>) const {
// Apply all tuple elements to the builder in order.
bool Dummy[] = {false, (DB << getPrintable(std::get<Is>(Args)))...};
(void)Dummy;
}
public:
BoundTypeDiagnoser(unsigned DiagID, const Ts &...Args)
: TypeDiagnoser(), DiagID(DiagID), Args(Args...) {
assert(DiagID != 0 && "no diagnostic for type diagnoser");
}
void diagnose(Sema &S, SourceLocation Loc, QualType T) override {
const SemaDiagnosticBuilder &DB = S.Diag(Loc, DiagID);
emit(DB, std::index_sequence_for<Ts...>());
DB << T;
}
};
/// Do a check to make sure \p Name looks like a legal argument for the
/// swift_name attribute applied to decl \p D. Raise a diagnostic if the name
/// is invalid for the given declaration.
///
/// \p AL is used to provide caret diagnostics in case of a malformed name.
///
/// \returns true if the name is a valid swift name for \p D, false otherwise.
bool DiagnoseSwiftName(Decl *D, StringRef Name, SourceLocation Loc,
const ParsedAttr &AL);
/// A derivative of BoundTypeDiagnoser for which the diagnostic's type
/// parameter is preceded by a 0/1 enum that is 1 if the type is sizeless.
/// For example, a diagnostic with no other parameters would generally have
/// the form "...%select{incomplete|sizeless}0 type %1...".
template <typename... Ts>
class SizelessTypeDiagnoser : public BoundTypeDiagnoser<Ts...> {
public:
SizelessTypeDiagnoser(unsigned DiagID, const Ts &... Args)
: BoundTypeDiagnoser<Ts...>(DiagID, Args...) {}
void diagnose(Sema &S, SourceLocation Loc, QualType T) override {
const SemaDiagnosticBuilder &DB = S.Diag(Loc, this->DiagID);
this->emit(DB, std::index_sequence_for<Ts...>());
DB << T->isSizelessType() << T;
}
};
enum class CompleteTypeKind {
/// Apply the normal rules for complete types. In particular,
/// treat all sizeless types as incomplete.
Normal,
/// Relax the normal rules for complete types so that they include
/// sizeless built-in types.
AcceptSizeless,
// FIXME: Eventually we should flip the default to Normal and opt in
// to AcceptSizeless rather than opt out of it.
Default = AcceptSizeless
};
private:
/// Methods for marking which expressions involve dereferencing a pointer
/// marked with the 'noderef' attribute. Expressions are checked bottom up as
/// they are parsed, meaning that a noderef pointer may not be accessed. For
/// example, in `&*p` where `p` is a noderef pointer, we will first parse the
/// `*p`, but need to check that `address of` is called on it. This requires
/// keeping a container of all pending expressions and checking if the address
/// of them are eventually taken.
void CheckSubscriptAccessOfNoDeref(const ArraySubscriptExpr *E);
void CheckAddressOfNoDeref(const Expr *E);
void CheckMemberAccessOfNoDeref(const MemberExpr *E);
bool RequireCompleteTypeImpl(SourceLocation Loc, QualType T,
CompleteTypeKind Kind, TypeDiagnoser *Diagnoser);
struct ModuleScope {
SourceLocation BeginLoc;
clang::Module *Module = nullptr;
bool ModuleInterface = false;
bool ImplicitGlobalModuleFragment = false;
VisibleModuleSet OuterVisibleModules;
};
/// The modules we're currently parsing.
llvm::SmallVector<ModuleScope, 16> ModuleScopes;
/// Namespace definitions that we will export when they finish.
llvm::SmallPtrSet<const NamespaceDecl*, 8> DeferredExportedNamespaces;
/// Get the module whose scope we are currently within.
Module *getCurrentModule() const {
return ModuleScopes.empty() ? nullptr : ModuleScopes.back().Module;
}
VisibleModuleSet VisibleModules;
public:
/// Get the module owning an entity.
Module *getOwningModule(const Decl *Entity) {
return Entity->getOwningModule();
}
/// Make a merged definition of an existing hidden definition \p ND
/// visible at the specified location.
void makeMergedDefinitionVisible(NamedDecl *ND);
bool isModuleVisible(const Module *M, bool ModulePrivate = false);
// When loading a non-modular PCH files, this is used to restore module
// visibility.
void makeModuleVisible(Module *Mod, SourceLocation ImportLoc) {
VisibleModules.setVisible(Mod, ImportLoc);
}
/// Determine whether a declaration is visible to name lookup.
bool isVisible(const NamedDecl *D) {
return D->isUnconditionallyVisible() || isVisibleSlow(D);
}
/// Determine whether any declaration of an entity is visible.
bool
hasVisibleDeclaration(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr) {
return isVisible(D) || hasVisibleDeclarationSlow(D, Modules);
}
bool hasVisibleDeclarationSlow(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules);
bool hasVisibleMergedDefinition(NamedDecl *Def);
bool hasMergedDefinitionInCurrentModule(NamedDecl *Def);
/// Determine if \p D and \p Suggested have a structurally compatible
/// layout as described in C11 6.2.7/1.
bool hasStructuralCompatLayout(Decl *D, Decl *Suggested);
/// Determine if \p D has a visible definition. If not, suggest a declaration
/// that should be made visible to expose the definition.
bool hasVisibleDefinition(NamedDecl *D, NamedDecl **Suggested,
bool OnlyNeedComplete = false);
bool hasVisibleDefinition(const NamedDecl *D) {
NamedDecl *Hidden;
return hasVisibleDefinition(const_cast<NamedDecl*>(D), &Hidden);
}
/// Determine if the template parameter \p D has a visible default argument.
bool
hasVisibleDefaultArgument(const NamedDecl *D,
llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is an explicit
/// specialization declaration for a specialization of a template. (For a
/// member specialization, use hasVisibleMemberSpecialization.)
bool hasVisibleExplicitSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if there is a visible declaration of \p D that is a member
/// specialization declaration (as opposed to an instantiated declaration).
bool hasVisibleMemberSpecialization(
const NamedDecl *D, llvm::SmallVectorImpl<Module *> *Modules = nullptr);
/// Determine if \p A and \p B are equivalent internal linkage declarations
/// from different modules, and thus an ambiguity error can be downgraded to
/// an extension warning.
bool isEquivalentInternalLinkageDeclaration(const NamedDecl *A,
const NamedDecl *B);
void diagnoseEquivalentInternalLinkageDeclarations(
SourceLocation Loc, const NamedDecl *D,
ArrayRef<const NamedDecl *> Equiv);
bool isUsualDeallocationFunction(const CXXMethodDecl *FD);
bool isCompleteType(SourceLocation Loc, QualType T,
CompleteTypeKind Kind = CompleteTypeKind::Default) {
return !RequireCompleteTypeImpl(Loc, T, Kind, nullptr);
}
bool RequireCompleteType(SourceLocation Loc, QualType T,
CompleteTypeKind Kind, TypeDiagnoser &Diagnoser);
bool RequireCompleteType(SourceLocation Loc, QualType T,
CompleteTypeKind Kind, unsigned DiagID);
bool RequireCompleteType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser) {
return RequireCompleteType(Loc, T, CompleteTypeKind::Default, Diagnoser);
}
bool RequireCompleteType(SourceLocation Loc, QualType T, unsigned DiagID) {
return RequireCompleteType(Loc, T, CompleteTypeKind::Default, 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);
}
template <typename... Ts>
bool RequireCompleteSizedType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &... Args) {
SizelessTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteType(Loc, T, CompleteTypeKind::Normal, Diagnoser);
}
void completeExprArrayBound(Expr *E);
bool RequireCompleteExprType(Expr *E, CompleteTypeKind Kind,
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, CompleteTypeKind::Default, Diagnoser);
}
template <typename... Ts>
bool RequireCompleteSizedExprType(Expr *E, unsigned DiagID,
const Ts &... Args) {
SizelessTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireCompleteExprType(E, CompleteTypeKind::Normal, Diagnoser);
}
bool RequireLiteralType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID);
template <typename... Ts>
bool RequireLiteralType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireLiteralType(Loc, T, Diagnoser);
}
QualType getElaboratedType(ElaboratedTypeKeyword Keyword,
const CXXScopeSpec &SS, QualType T,
TagDecl *OwnedTagDecl = nullptr);
QualType BuildTypeofExprType(Expr *E, SourceLocation Loc);
/// If AsUnevaluated is false, E is treated as though it were an evaluated
/// context, such as when building a type for decltype(auto).
QualType BuildDecltypeType(Expr *E, SourceLocation Loc,
bool AsUnevaluated = true);
QualType BuildUnaryTransformType(QualType BaseType,
UnaryTransformType::UTTKind UKind,
SourceLocation Loc);
//===--------------------------------------------------------------------===//
// Symbol table / Decl tracking callbacks: SemaDecl.cpp.
//
struct SkipBodyInfo {
SkipBodyInfo()
: ShouldSkip(false), CheckSameAsPrevious(false), Previous(nullptr),
New(nullptr) {}
bool ShouldSkip;
bool CheckSameAsPrevious;
NamedDecl *Previous;
NamedDecl *New;
};
DeclGroupPtrTy ConvertDeclToDeclGroup(Decl *Ptr, Decl *OwnedType = nullptr);
void DiagnoseUseOfUnimplementedSelectors();
bool isSimpleTypeSpecifier(tok::TokenKind Kind) const;
ParsedType getTypeName(const IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec *SS = nullptr,
bool isClassName = false, bool HasTrailingDot = false,
ParsedType ObjectType = nullptr,
bool IsCtorOrDtorName = false,
bool WantNontrivialTypeSourceInfo = false,
bool IsClassTemplateDeductionContext = true,
IdentifierInfo **CorrectedII = nullptr);
TypeSpecifierType isTagName(IdentifierInfo &II, Scope *S);
bool isMicrosoftMissingTypename(const CXXScopeSpec *SS, Scope *S);
void DiagnoseUnknownTypeName(IdentifierInfo *&II,
SourceLocation IILoc,
Scope *S,
CXXScopeSpec *SS,
ParsedType &SuggestedType,
bool IsTemplateName = false);
/// Attempt to behave like MSVC in situations where lookup of an unqualified
/// type name has failed in a dependent context. In these situations, we
/// automatically form a DependentTypeName that will retry lookup in a related
/// scope during instantiation.
ParsedType ActOnMSVCUnknownTypeName(const IdentifierInfo &II,
SourceLocation NameLoc,
bool IsTemplateTypeArg);
/// Describes the result of the name lookup and resolution performed
/// by \c ClassifyName().
enum NameClassificationKind {
/// This name is not a type or template in this context, but might be
/// something else.
NC_Unknown,
/// Classification failed; an error has been produced.
NC_Error,
/// The name has been typo-corrected to a keyword.
NC_Keyword,
/// The name was classified as a type.
NC_Type,
/// The name was classified as a specific non-type, non-template
/// declaration. ActOnNameClassifiedAsNonType should be called to
/// convert the declaration to an expression.
NC_NonType,
/// The name was classified as an ADL-only function name.
/// ActOnNameClassifiedAsUndeclaredNonType should be called to convert the
/// result to an expression.
NC_UndeclaredNonType,
/// The name denotes a member of a dependent type that could not be
/// resolved. ActOnNameClassifiedAsDependentNonType should be called to
/// convert the result to an expression.
NC_DependentNonType,
/// The name was classified as an overload set, and an expression
/// representing that overload set has been formed.
/// ActOnNameClassifiedAsOverloadSet should be called to form a suitable
/// expression referencing the overload set.
NC_OverloadSet,
/// The name was classified as a template whose specializations are types.
NC_TypeTemplate,
/// The name was classified as a variable template name.
NC_VarTemplate,
/// The name was classified as a function template name.
NC_FunctionTemplate,
/// The name was classified as an ADL-only function template name.
NC_UndeclaredTemplate,
/// The name was classified as a concept name.
NC_Concept,
};
class NameClassification {
NameClassificationKind Kind;
union {
ExprResult Expr;
NamedDecl *NonTypeDecl;
TemplateName Template;
ParsedType Type;
};
explicit NameClassification(NameClassificationKind Kind) : Kind(Kind) {}
public:
NameClassification(ParsedType Type) : Kind(NC_Type), Type(Type) {}
NameClassification(const IdentifierInfo *Keyword) : Kind(NC_Keyword) {}
static NameClassification Error() {
return NameClassification(NC_Error);
}
static NameClassification Unknown() {
return NameClassification(NC_Unknown);
}
static NameClassification OverloadSet(ExprResult E) {
NameClassification Result(NC_OverloadSet);
Result.Expr = E;
return Result;
}
static NameClassification NonType(NamedDecl *D) {
NameClassification Result(NC_NonType);
Result.NonTypeDecl = D;
return Result;
}
static NameClassification UndeclaredNonType() {
return NameClassification(NC_UndeclaredNonType);
}
static NameClassification DependentNonType() {
return NameClassification(NC_DependentNonType);
}
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;
}
static NameClassification Concept(TemplateName Name) {
NameClassification Result(NC_Concept);
Result.Template = Name;
return Result;
}
static NameClassification UndeclaredTemplate(TemplateName Name) {
NameClassification Result(NC_UndeclaredTemplate);
Result.Template = Name;
return Result;
}
NameClassificationKind getKind() const { return Kind; }
ExprResult getExpression() const {
assert(Kind == NC_OverloadSet);
return Expr;
}
ParsedType getType() const {
assert(Kind == NC_Type);
return Type;
}
NamedDecl *getNonTypeDecl() const {
assert(Kind == NC_NonType);
return NonTypeDecl;
}
TemplateName getTemplateName() const {
assert(Kind == NC_TypeTemplate || Kind == NC_FunctionTemplate ||
Kind == NC_VarTemplate || Kind == NC_Concept ||
Kind == NC_UndeclaredTemplate);
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;
case NC_Concept:
return TNK_Concept_template;
case NC_UndeclaredTemplate:
return TNK_Undeclared_template;
default:
llvm_unreachable("unsupported name classification.");
}
}
};
/// Perform name lookup on the given name, classifying it based on
/// the results of name lookup and the following token.
///
/// This routine is used by the parser to resolve identifiers and help direct
/// parsing. When the identifier cannot be found, this routine will attempt
/// to correct the typo and classify based on the resulting name.
///
/// \param S The scope in which we're performing name lookup.
///
/// \param SS The nested-name-specifier that precedes the name.
///
/// \param Name The identifier. If typo correction finds an alternative name,
/// this pointer parameter will be updated accordingly.
///
/// \param NameLoc The location of the identifier.
///
/// \param NextToken The token following the identifier. Used to help
/// disambiguate the name.
///
/// \param CCC The correction callback, if typo correction is desired.
NameClassification ClassifyName(Scope *S, CXXScopeSpec &SS,
IdentifierInfo *&Name, SourceLocation NameLoc,
const Token &NextToken,
CorrectionCandidateCallback *CCC = nullptr);
/// Act on the result of classifying a name as an undeclared (ADL-only)
/// non-type declaration.
ExprResult ActOnNameClassifiedAsUndeclaredNonType(IdentifierInfo *Name,
SourceLocation NameLoc);
/// Act on the result of classifying a name as an undeclared member of a
/// dependent base class.
ExprResult ActOnNameClassifiedAsDependentNonType(const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsAddressOfOperand);
/// Act on the result of classifying a name as a specific non-type
/// declaration.
ExprResult ActOnNameClassifiedAsNonType(Scope *S, const CXXScopeSpec &SS,
NamedDecl *Found,
SourceLocation NameLoc,
const Token &NextToken);
/// Act on the result of classifying a name as an overload set.
ExprResult ActOnNameClassifiedAsOverloadSet(Scope *S, Expr *OverloadSet);
/// Describes the detailed kind of a template name. Used in diagnostics.
enum class TemplateNameKindForDiagnostics {
ClassTemplate,
FunctionTemplate,
VarTemplate,
AliasTemplate,
TemplateTemplateParam,
Concept,
DependentTemplate
};
TemplateNameKindForDiagnostics
getTemplateNameKindForDiagnostics(TemplateName Name);
/// Determine whether it's plausible that E was intended to be a
/// template-name.
bool mightBeIntendedToBeTemplateName(ExprResult E, bool &Dependent) {
if (!getLangOpts().CPlusPlus || E.isInvalid())
return false;
Dependent = false;
if (auto *DRE = dyn_cast<DeclRefExpr>(E.get()))
return !DRE->hasExplicitTemplateArgs();
if (auto *ME = dyn_cast<MemberExpr>(E.get()))
return !ME->hasExplicitTemplateArgs();
Dependent = true;
if (auto *DSDRE = dyn_cast<DependentScopeDeclRefExpr>(E.get()))
return !DSDRE->hasExplicitTemplateArgs();
if (auto *DSME = dyn_cast<CXXDependentScopeMemberExpr>(E.get()))
return !DSME->hasExplicitTemplateArgs();
// Any additional cases recognized here should also be handled by
// diagnoseExprIntendedAsTemplateName.
return false;
}
void diagnoseExprIntendedAsTemplateName(Scope *S, ExprResult TemplateName,
SourceLocation Less,
SourceLocation Greater);
Decl *ActOnDeclarator(Scope *S, Declarator &D);
NamedDecl *HandleDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParameterLists);
void RegisterLocallyScopedExternCDecl(NamedDecl *ND, Scope *S);
bool DiagnoseClassNameShadow(DeclContext *DC, DeclarationNameInfo Info);
bool diagnoseQualifiedDeclaration(CXXScopeSpec &SS, DeclContext *DC,
DeclarationName Name, SourceLocation Loc,
bool IsTemplateId);
void
diagnoseIgnoredQualifiers(unsigned DiagID, unsigned Quals,
SourceLocation FallbackLoc,
SourceLocation ConstQualLoc = SourceLocation(),
SourceLocation VolatileQualLoc = SourceLocation(),
SourceLocation RestrictQualLoc = SourceLocation(),
SourceLocation AtomicQualLoc = SourceLocation(),
SourceLocation UnalignedQualLoc = SourceLocation());
static bool adjustContextForLocalExternDecl(DeclContext *&DC);
void DiagnoseFunctionSpecifiers(const DeclSpec &DS);
NamedDecl *getShadowedDeclaration(const TypedefNameDecl *D,
const LookupResult &R);
NamedDecl *getShadowedDeclaration(const VarDecl *D, const LookupResult &R);
void CheckShadow(NamedDecl *D, NamedDecl *ShadowedDecl,
const LookupResult &R);
void CheckShadow(Scope *S, VarDecl *D);
/// Warn if 'E', which is an expression that is about to be modified, refers
/// to a shadowing declaration.
void CheckShadowingDeclModification(Expr *E, SourceLocation Loc);
void DiagnoseShadowingLambdaDecls(const sema::LambdaScopeInfo *LSI);
private:
/// Map of current shadowing declarations to shadowed declarations. Warn if
/// it looks like the user is trying to modify the shadowing declaration.
llvm::DenseMap<const NamedDecl *, const NamedDecl *> ShadowingDecls;
public:
void CheckCastAlign(Expr *Op, QualType T, SourceRange TRange);
void handleTagNumbering(const TagDecl *Tag, Scope *TagScope);
void setTagNameForLinkagePurposes(TagDecl *TagFromDeclSpec,
TypedefNameDecl *NewTD);
void CheckTypedefForVariablyModifiedType(Scope *S, TypedefNameDecl *D);
NamedDecl* ActOnTypedefDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous);
NamedDecl* ActOnTypedefNameDecl(Scope* S, DeclContext* DC, TypedefNameDecl *D,
LookupResult &Previous, bool &Redeclaration);
NamedDecl *ActOnVariableDeclarator(Scope *S, Declarator &D, DeclContext *DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope,
ArrayRef<BindingDecl *> Bindings = None);
NamedDecl *
ActOnDecompositionDeclarator(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists);
// Returns true if the variable declaration is a redeclaration
bool CheckVariableDeclaration(VarDecl *NewVD, LookupResult &Previous);
void CheckVariableDeclarationType(VarDecl *NewVD);
bool DeduceVariableDeclarationType(VarDecl *VDecl, bool DirectInit,
Expr *Init);
void CheckCompleteVariableDeclaration(VarDecl *VD);
void CheckCompleteDecompositionDeclaration(DecompositionDecl *DD);
void MaybeSuggestAddingStaticToDecl(const FunctionDecl *D);
NamedDecl* ActOnFunctionDeclarator(Scope* S, Declarator& D, DeclContext* DC,
TypeSourceInfo *TInfo,
LookupResult &Previous,
MultiTemplateParamsArg TemplateParamLists,
bool &AddToScope);
bool AddOverriddenMethods(CXXRecordDecl *DC, CXXMethodDecl *MD);
enum class CheckConstexprKind {
/// Diagnose issues that are non-constant or that are extensions.
Diagnose,
/// Identify whether this function satisfies the formal rules for constexpr
/// functions in the current lanugage mode (with no extensions).
CheckValid
};
bool CheckConstexprFunctionDefinition(const FunctionDecl *FD,
CheckConstexprKind Kind);
void DiagnoseHiddenVirtualMethods(CXXMethodDecl *MD);
void FindHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
void NoteHiddenVirtualMethods(CXXMethodDecl *MD,
SmallVectorImpl<CXXMethodDecl*> &OverloadedMethods);
// Returns true if the function declaration is a redeclaration
bool CheckFunctionDeclaration(Scope *S,
FunctionDecl *NewFD, LookupResult &Previous,
bool IsMemberSpecialization);
bool shouldLinkDependentDeclWithPrevious(Decl *D, Decl *OldDecl);
bool canFullyTypeCheckRedeclaration(ValueDecl *NewD, ValueDecl *OldD,
QualType NewT, QualType OldT);
void CheckMain(FunctionDecl *FD, const DeclSpec &D);
void CheckMSVCRTEntryPoint(FunctionDecl *FD);
Attr *getImplicitCodeSegOrSectionAttrForFunction(const FunctionDecl *FD,
bool IsDefinition);
void CheckFunctionOrTemplateParamDeclarator(Scope *S, Declarator &D);
Decl *ActOnParamDeclarator(Scope *S, Declarator &D);
ParmVarDecl *BuildParmVarDeclForTypedef(DeclContext *DC,
SourceLocation Loc,
QualType T);
ParmVarDecl *CheckParameter(DeclContext *DC, SourceLocation StartLoc,
SourceLocation NameLoc, IdentifierInfo *Name,
QualType T, TypeSourceInfo *TSInfo,
StorageClass SC);
void ActOnParamDefaultArgument(Decl *param,
SourceLocation EqualLoc,
Expr *defarg);
void ActOnParamUnparsedDefaultArgument(Decl *param, SourceLocation EqualLoc,
SourceLocation ArgLoc);
void ActOnParamDefaultArgumentError(Decl *param, SourceLocation EqualLoc);
ExprResult ConvertParamDefaultArgument(const ParmVarDecl *Param,
Expr *DefaultArg,
SourceLocation EqualLoc);
void SetParamDefaultArgument(ParmVarDecl *Param, Expr *DefaultArg,
SourceLocation EqualLoc);
// Contexts where using non-trivial C union types can be disallowed. This is
// passed to err_non_trivial_c_union_in_invalid_context.
enum NonTrivialCUnionContext {
// Function parameter.
NTCUC_FunctionParam,
// Function return.
NTCUC_FunctionReturn,
// Default-initialized object.
NTCUC_DefaultInitializedObject,
// Variable with automatic storage duration.
NTCUC_AutoVar,
// Initializer expression that might copy from another object.
NTCUC_CopyInit,
// Assignment.
NTCUC_Assignment,
// Compound literal.
NTCUC_CompoundLiteral,
// Block capture.
NTCUC_BlockCapture,
// lvalue-to-rvalue conversion of volatile type.
NTCUC_LValueToRValueVolatile,
};
/// Emit diagnostics if the initializer or any of its explicit or
/// implicitly-generated subexpressions require copying or
/// default-initializing a type that is or contains a C union type that is
/// non-trivial to copy or default-initialize.
void checkNonTrivialCUnionInInitializer(const Expr *Init, SourceLocation Loc);
// These flags are passed to checkNonTrivialCUnion.
enum NonTrivialCUnionKind {
NTCUK_Init = 0x1,
NTCUK_Destruct = 0x2,
NTCUK_Copy = 0x4,
};
/// Emit diagnostics if a non-trivial C union type or a struct that contains
/// a non-trivial C union is used in an invalid context.
void checkNonTrivialCUnion(QualType QT, SourceLocation Loc,
NonTrivialCUnionContext UseContext,
unsigned NonTrivialKind);
void AddInitializerToDecl(Decl *dcl, Expr *init, bool DirectInit);
void ActOnUninitializedDecl(Decl *dcl);
void ActOnInitializerError(Decl *Dcl);
void ActOnPureSpecifier(Decl *D, SourceLocation PureSpecLoc);
void ActOnCXXForRangeDecl(Decl *D);
StmtResult ActOnCXXForRangeIdentifier(Scope *S, SourceLocation IdentLoc,
IdentifierInfo *Ident,
ParsedAttributes &Attrs,
SourceLocation AttrEnd);
void SetDeclDeleted(Decl *dcl, SourceLocation DelLoc);
void SetDeclDefaulted(Decl *dcl, SourceLocation DefaultLoc);
void CheckStaticLocalForDllExport(VarDecl *VD);
void FinalizeDeclaration(Decl *D);
DeclGroupPtrTy FinalizeDeclaratorGroup(Scope *S, const DeclSpec &DS,
ArrayRef<Decl *> Group);
DeclGroupPtrTy BuildDeclaratorGroup(MutableArrayRef<Decl *> Group);
/// Should be called on all declarations that might have attached
/// documentation comments.
void ActOnDocumentableDecl(Decl *D);
void ActOnDocumentableDecls(ArrayRef<Decl *> Group);
void ActOnFinishKNRParamDeclarations(Scope *S, Declarator &D,
SourceLocation LocAfterDecls);
void CheckForFunctionRedefinition(
FunctionDecl *FD, const FunctionDecl *EffectiveDefinition = nullptr,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnStartOfFunctionDef(Scope *S, Decl *D,
SkipBodyInfo *SkipBody = nullptr);
void ActOnStartTrailingRequiresClause(Scope *S, Declarator &D);
ExprResult ActOnFinishTrailingRequiresClause(ExprResult ConstraintExpr);
void ActOnStartOfObjCMethodDef(Scope *S, Decl *D);
bool isObjCMethodDecl(Decl *D) {
return D && isa<ObjCMethodDecl>(D);
}
/// Determine whether we can delay parsing the body of a function or
/// function template until it is used, assuming we don't care about emitting
/// code for that function.
///
/// This will be \c false if we may need the body of the function in the
/// middle of parsing an expression (where it's impractical to switch to
/// parsing a different function), for instance, if it's constexpr in C++11
/// or has an 'auto' return type in C++14. These cases are essentially bugs.
bool canDelayFunctionBody(const Declarator &D);
/// Determine whether we can skip parsing the body of a function
/// definition, assuming we don't care about analyzing its body or emitting
/// code for that function.
///
/// This will be \c false only if we may need the body of the function in
/// order to parse the rest of the program (for instance, if it is
/// \c constexpr in C++11 or has an 'auto' return type in C++14).
bool canSkipFunctionBody(Decl *D);
void computeNRVO(Stmt *Body, sema::FunctionScopeInfo *Scope);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body);
Decl *ActOnFinishFunctionBody(Decl *Decl, Stmt *Body, bool IsInstantiation);
Decl *ActOnSkippedFunctionBody(Decl *Decl);
void ActOnFinishInlineFunctionDef(FunctionDecl *D);
/// ActOnFinishDelayedAttribute - Invoked when we have finished parsing an
/// attribute for which parsing is delayed.
void ActOnFinishDelayedAttribute(Scope *S, Decl *D, ParsedAttributes &Attrs);
/// Diagnose any unused parameters in the given sequence of
/// ParmVarDecl pointers.
void DiagnoseUnusedParameters(ArrayRef<ParmVarDecl *> Parameters);
/// Diagnose whether the size of parameters or return value of a
/// function or obj-c method definition is pass-by-value and larger than a
/// specified threshold.
void
DiagnoseSizeOfParametersAndReturnValue(ArrayRef<ParmVarDecl *> Parameters,
QualType ReturnTy, NamedDecl *D);
void DiagnoseInvalidJumps(Stmt *Body);
Decl *ActOnFileScopeAsmDecl(Expr *expr,
SourceLocation AsmLoc,
SourceLocation RParenLoc);
/// Handle a C++11 empty-declaration and attribute-declaration.
Decl *ActOnEmptyDeclaration(Scope *S, const ParsedAttributesView &AttrList,
SourceLocation SemiLoc);
enum class ModuleDeclKind {
Interface, ///< 'export module X;'
Implementation, ///< 'module X;'
};
/// The parser has processed a module-declaration that begins the definition
/// of a module interface or implementation.
DeclGroupPtrTy ActOnModuleDecl(SourceLocation StartLoc,
SourceLocation ModuleLoc, ModuleDeclKind MDK,
ModuleIdPath Path, bool IsFirstDecl);
/// The parser has processed a global-module-fragment declaration that begins
/// the definition of the global module fragment of the current module unit.
/// \param ModuleLoc The location of the 'module' keyword.
DeclGroupPtrTy ActOnGlobalModuleFragmentDecl(SourceLocation ModuleLoc);
/// The parser has processed a private-module-fragment declaration that begins
/// the definition of the private module fragment of the current module unit.
/// \param ModuleLoc The location of the 'module' keyword.
/// \param PrivateLoc The location of the 'private' keyword.
DeclGroupPtrTy ActOnPrivateModuleFragmentDecl(SourceLocation ModuleLoc,
SourceLocation PrivateLoc);
/// The parser has processed a module import declaration.
///
/// \param StartLoc The location of the first token in the declaration. This
/// could be the location of an '@', 'export', or 'import'.
/// \param ExportLoc The location of the 'export' keyword, if any.
/// \param ImportLoc The location of the 'import' keyword.
/// \param Path The module access path.
DeclResult ActOnModuleImport(SourceLocation StartLoc,
SourceLocation ExportLoc,
SourceLocation ImportLoc, ModuleIdPath Path);
DeclResult ActOnModuleImport(SourceLocation StartLoc,
SourceLocation ExportLoc,
SourceLocation ImportLoc, Module *M,
ModuleIdPath Path = {});
/// The parser has processed a module import translated from a
/// #include or similar preprocessing directive.
void ActOnModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
void BuildModuleInclude(SourceLocation DirectiveLoc, Module *Mod);
/// The parsed has entered a submodule.
void ActOnModuleBegin(SourceLocation DirectiveLoc, Module *Mod);
/// The parser has left a submodule.
void ActOnModuleEnd(SourceLocation DirectiveLoc, Module *Mod);
/// Create an implicit import of the given module at the given
/// source location, for error recovery, if possible.
///
/// This routine is typically used when an entity found by name lookup
/// is actually hidden within a module that we know about but the user
/// has forgotten to import.
void createImplicitModuleImportForErrorRecovery(SourceLocation Loc,
Module *Mod);
/// Kinds of missing import. Note, the values of these enumerators correspond
/// to %select values in diagnostics.
enum class MissingImportKind {
Declaration,
Definition,
DefaultArgument,
ExplicitSpecialization,
PartialSpecialization
};
/// Diagnose that the specified declaration needs to be visible but
/// isn't, and suggest a module import that would resolve the problem.
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
MissingImportKind MIK, bool Recover = true);
void diagnoseMissingImport(SourceLocation Loc, NamedDecl *Decl,
SourceLocation DeclLoc, ArrayRef<Module *> Modules,
MissingImportKind MIK, bool Recover);
Decl *ActOnStartExportDecl(Scope *S, SourceLocation ExportLoc,
SourceLocation LBraceLoc);
Decl *ActOnFinishExportDecl(Scope *S, Decl *ExportDecl,
SourceLocation RBraceLoc);
/// We've found a use of a templated declaration that would trigger an
/// implicit instantiation. Check that any relevant explicit specializations
/// and partial specializations are visible, and diagnose if not.
void checkSpecializationVisibility(SourceLocation Loc, NamedDecl *Spec);
/// We've found a use of a template specialization that would select a
/// partial specialization. Check that the partial specialization is visible,
/// and diagnose if not.
void checkPartialSpecializationVisibility(SourceLocation Loc,
NamedDecl *Spec);
/// Retrieve a suitable printing policy for diagnostics.
PrintingPolicy getPrintingPolicy() const {
return getPrintingPolicy(Context, PP);
}
/// Retrieve a suitable printing policy for diagnostics.
static PrintingPolicy getPrintingPolicy(const ASTContext &Ctx,
const Preprocessor &PP);
/// Scope actions.
void ActOnPopScope(SourceLocation Loc, Scope *S);
void ActOnTranslationUnitScope(Scope *S);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
RecordDecl *&AnonRecord);
Decl *ParsedFreeStandingDeclSpec(Scope *S, AccessSpecifier AS, DeclSpec &DS,
MultiTemplateParamsArg TemplateParams,
bool IsExplicitInstantiation,
RecordDecl *&AnonRecord);
Decl *BuildAnonymousStructOrUnion(Scope *S, DeclSpec &DS,
AccessSpecifier AS,
RecordDecl *Record,
const PrintingPolicy &Policy);
Decl *BuildMicrosoftCAnonymousStruct(Scope *S, DeclSpec &DS,
RecordDecl *Record);
/// Common ways to introduce type names without a tag for use in diagnostics.
/// Keep in sync with err_tag_reference_non_tag.
enum NonTagKind {
NTK_NonStruct,
NTK_NonClass,
NTK_NonUnion,
NTK_NonEnum,
NTK_Typedef,
NTK_TypeAlias,
NTK_Template,
NTK_TypeAliasTemplate,
NTK_TemplateTemplateArgument,
};
/// Given a non-tag type declaration, returns an enum useful for indicating
/// what kind of non-tag type this is.
NonTagKind getNonTagTypeDeclKind(const Decl *D, TagTypeKind TTK);
bool isAcceptableTagRedeclaration(const TagDecl *Previous,
TagTypeKind NewTag, bool isDefinition,
SourceLocation NewTagLoc,
const IdentifierInfo *Name);
enum TagUseKind {
TUK_Reference, // Reference to a tag: 'struct foo *X;'
TUK_Declaration, // Fwd decl of a tag: 'struct foo;'
TUK_Definition, // Definition of a tag: 'struct foo { int X; } Y;'
TUK_Friend // Friend declaration: 'friend struct foo;'
};
Decl *ActOnTag(Scope *S, unsigned TagSpec, TagUseKind TUK,
SourceLocation KWLoc, CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc, const ParsedAttributesView &Attr,
AccessSpecifier AS, SourceLocation ModulePrivateLoc,
MultiTemplateParamsArg TemplateParameterLists, bool &OwnedDecl,
bool &IsDependent, SourceLocation ScopedEnumKWLoc,
bool ScopedEnumUsesClassTag, TypeResult UnderlyingType,
bool IsTypeSpecifier, bool IsTemplateParamOrArg,
SkipBodyInfo *SkipBody = nullptr);
Decl *ActOnTemplatedFriendTag(Scope *S, SourceLocation FriendLoc,
unsigned TagSpec, SourceLocation TagLoc,
CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc,
const ParsedAttributesView &Attr,
MultiTemplateParamsArg TempParamLists);
TypeResult ActOnDependentTag(Scope *S,
unsigned TagSpec,
TagUseKind TUK,
const CXXScopeSpec &SS,
IdentifierInfo *Name,
SourceLocation TagLoc,
SourceLocation NameLoc);
void ActOnDefs(Scope *S, Decl *TagD, SourceLocation DeclStart,
IdentifierInfo *ClassName,
SmallVectorImpl<Decl *> &Decls);
Decl *ActOnField(Scope *S, Decl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth);
FieldDecl *HandleField(Scope *S, RecordDecl *TagD, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS);
MSPropertyDecl *HandleMSProperty(Scope *S, RecordDecl *TagD,
SourceLocation DeclStart, Declarator &D,
Expr *BitfieldWidth,
InClassInitStyle InitStyle,
AccessSpecifier AS,
const ParsedAttr &MSPropertyAttr);
FieldDecl *CheckFieldDecl(DeclarationName Name, QualType T,
TypeSourceInfo *TInfo,
RecordDecl *Record, SourceLocation Loc,
bool Mutable, Expr *BitfieldWidth,
InClassInitStyle InitStyle,
SourceLocation TSSL,
AccessSpecifier AS, NamedDecl *PrevDecl,
Declarator *D = nullptr);
bool CheckNontrivialField(FieldDecl *FD);
void DiagnoseNontrivial(const CXXRecordDecl *Record, CXXSpecialMember CSM);
enum TrivialABIHandling {
/// The triviality of a method unaffected by "trivial_abi".
TAH_IgnoreTrivialABI,
/// The triviality of a method affected by "trivial_abi".
TAH_ConsiderTrivialABI
};
bool SpecialMemberIsTrivial(CXXMethodDecl *MD, CXXSpecialMember CSM,
TrivialABIHandling TAH = TAH_IgnoreTrivialABI,
bool Diagnose = false);
/// For a defaulted function, the kind of defaulted function that it is.
class DefaultedFunctionKind {
CXXSpecialMember SpecialMember : 8;
DefaultedComparisonKind Comparison : 8;
public:
DefaultedFunctionKind()
: SpecialMember(CXXInvalid), Comparison(DefaultedComparisonKind::None) {
}
DefaultedFunctionKind(CXXSpecialMember CSM)
: SpecialMember(CSM), Comparison(DefaultedComparisonKind::None) {}
DefaultedFunctionKind(DefaultedComparisonKind Comp)
: SpecialMember(CXXInvalid), Comparison(Comp) {}
bool isSpecialMember() const { return SpecialMember != CXXInvalid; }
bool isComparison() const {
return Comparison != DefaultedComparisonKind::None;
}
explicit operator bool() const {
return isSpecialMember() || isComparison();
}
CXXSpecialMember asSpecialMember() const { return SpecialMember; }
DefaultedComparisonKind asComparison() const { return Comparison; }
/// Get the index of this function kind for use in diagnostics.
unsigned getDiagnosticIndex() const {
static_assert(CXXInvalid > CXXDestructor,
"invalid should have highest index");
static_assert((unsigned)DefaultedComparisonKind::None == 0,
"none should be equal to zero");
return SpecialMember + (unsigned)Comparison;
}
};
DefaultedFunctionKind getDefaultedFunctionKind(const FunctionDecl *FD);
CXXSpecialMember getSpecialMember(const CXXMethodDecl *MD) {
return getDefaultedFunctionKind(MD).asSpecialMember();
}
DefaultedComparisonKind getDefaultedComparisonKind(const FunctionDecl *FD) {
return getDefaultedFunctionKind(FD).asComparison();
}
void ActOnLastBitfield(SourceLocation DeclStart,
SmallVectorImpl<Decl *> &AllIvarDecls);
Decl *ActOnIvar(Scope *S, SourceLocation DeclStart,
Declarator &D, Expr *BitfieldWidth,
tok::ObjCKeywordKind visibility);
// This is used for both record definitions and ObjC interface declarations.
void ActOnFields(Scope *S, SourceLocation RecLoc, Decl *TagDecl,
ArrayRef<Decl *> Fields, SourceLocation LBrac,
SourceLocation RBrac, const ParsedAttributesView &AttrList);
/// ActOnTagStartDefinition - Invoked when we have entered the
/// scope of a tag's definition (e.g., for an enumeration, class,
/// struct, or union).
void ActOnTagStartDefinition(Scope *S, Decl *TagDecl);
/// Perform ODR-like check for C/ObjC when merging tag types from modules.
/// Differently from C++, actually parse the body and reject / error out
/// in case of a structural mismatch.
bool ActOnDuplicateDefinition(DeclSpec &DS, Decl *Prev,
SkipBodyInfo &SkipBody);
typedef void *SkippedDefinitionContext;
/// Invoked when we enter a tag definition that we're skipping.
SkippedDefinitionContext ActOnTagStartSkippedDefinition(Scope *S, Decl *TD);
Decl *ActOnObjCContainerStartDefinition(Decl *IDecl);
/// ActOnStartCXXMemberDeclarations - Invoked when we have parsed a
/// C++ record definition's base-specifiers clause and are starting its
/// member declarations.
void ActOnStartCXXMemberDeclarations(Scope *S, Decl *TagDecl,
SourceLocation FinalLoc,
bool IsFinalSpelledSealed,
SourceLocation LBraceLoc);
/// ActOnTagFinishDefinition - Invoked once we have finished parsing
/// the definition of a tag (enumeration, class, struct, or union).
void ActOnTagFinishDefinition(Scope *S, Decl *TagDecl,
SourceRange BraceRange);
void ActOnTagFinishSkippedDefinition(SkippedDefinitionContext Context);
void ActOnObjCContainerFinishDefinition();
/// Invoked when we must temporarily exit the objective-c container
/// scope for parsing/looking-up C constructs.
///
/// Must be followed by a call to \see ActOnObjCReenterContainerContext
void ActOnObjCTemporaryExitContainerContext(DeclContext *DC);
void ActOnObjCReenterContainerContext(DeclContext *DC);
/// ActOnTagDefinitionError - Invoked when there was an unrecoverable
/// error parsing the definition of a tag.
void ActOnTagDefinitionError(Scope *S, Decl *TagDecl);
EnumConstantDecl *CheckEnumConstant(EnumDecl *Enum,
EnumConstantDecl *LastEnumConst,
SourceLocation IdLoc,
IdentifierInfo *Id,
Expr *val);
bool CheckEnumUnderlyingType(TypeSourceInfo *TI);
bool CheckEnumRedeclaration(SourceLocation EnumLoc, bool IsScoped,
QualType EnumUnderlyingTy, bool IsFixed,
const EnumDecl *Prev);
/// Determine whether the body of an anonymous enumeration should be skipped.
/// \param II The name of the first enumerator.
SkipBodyInfo shouldSkipAnonEnumBody(Scope *S, IdentifierInfo *II,
SourceLocation IILoc);
Decl *ActOnEnumConstant(Scope *S, Decl *EnumDecl, Decl *LastEnumConstant,
SourceLocation IdLoc, IdentifierInfo *Id,
const ParsedAttributesView &Attrs,
SourceLocation EqualLoc, Expr *Val);
void ActOnEnumBody(SourceLocation EnumLoc, SourceRange BraceRange,
Decl *EnumDecl, ArrayRef<Decl *> Elements, Scope *S,
const ParsedAttributesView &Attr);
/// 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);
/// Enter a template parameter scope, after it's been associated with a particular
/// DeclContext. Causes lookup within the scope to chain through enclosing contexts
/// in the correct order.
void EnterTemplatedContext(Scope *S, DeclContext *DC);
/// 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);
/// isDeclInScope - If 'Ctx' is a function/method, isDeclInScope returns true
/// if 'D' is in Scope 'S', otherwise 'S' is ignored and isDeclInScope returns
/// true if 'D' belongs to the given declaration context.
///
/// \param AllowInlineNamespace If \c true, allow the declaration to be in the
/// enclosing namespace set of the context, rather than contained
/// directly within it.
bool isDeclInScope(NamedDecl *D, DeclContext *Ctx, Scope *S = nullptr,
bool AllowInlineNamespace = false);
/// Finds the scope corresponding to the given decl context, if it
/// happens to be an enclosing scope. Otherwise return NULL.
static Scope *getScopeForDeclContext(Scope *S, DeclContext *DC);
/// Subroutines of ActOnDeclarator().
TypedefDecl *ParseTypedefDecl(Scope *S, Declarator &D, QualType T,
TypeSourceInfo *TInfo);
bool isIncompatibleTypedef(TypeDecl *Old, TypedefNameDecl *New);
/// Describes the kind of merge to perform for availability
/// attributes (including "deprecated", "unavailable", and "availability").
enum AvailabilityMergeKind {
/// Don't merge availability attributes at all.
AMK_None,
/// Merge availability attributes for a redeclaration, which requires
/// an exact match.
AMK_Redeclaration,
/// Merge availability attributes for an override, which requires
/// an exact match or a weakening of constraints.
AMK_Override,
/// Merge availability attributes for an implementation of
/// a protocol requirement.
AMK_ProtocolImplementation,
};
/// Describes the kind of priority given to an availability attribute.
///
/// The sum of priorities deteremines the final priority of the attribute.
/// The final priority determines how the attribute will be merged.
/// An attribute with a lower priority will always remove higher priority
/// attributes for the specified platform when it is being applied. An
/// attribute with a higher priority will not be applied if the declaration
/// already has an availability attribute with a lower priority for the
/// specified platform. The final prirority values are not expected to match
/// the values in this enumeration, but instead should be treated as a plain
/// integer value. This enumeration just names the priority weights that are
/// used to calculate that final vaue.
enum AvailabilityPriority : int {
/// The availability attribute was specified explicitly next to the
/// declaration.
AP_Explicit = 0,
/// The availability attribute was applied using '#pragma clang attribute'.
AP_PragmaClangAttribute = 1,
/// The availability attribute for a specific platform was inferred from
/// an availability attribute for another platform.
AP_InferredFromOtherPlatform = 2
};
/// Attribute merging methods. Return true if a new attribute was added.
AvailabilityAttr *
mergeAvailabilityAttr(NamedDecl *D, const AttributeCommonInfo &CI,
IdentifierInfo *Platform, bool Implicit,
VersionTuple Introduced, VersionTuple Deprecated,
VersionTuple Obsoleted, bool IsUnavailable,
StringRef Message, bool IsStrict, StringRef Replacement,
AvailabilityMergeKind AMK, int Priority);
TypeVisibilityAttr *
mergeTypeVisibilityAttr(Decl *D, const AttributeCommonInfo &CI,
TypeVisibilityAttr::VisibilityType Vis);
VisibilityAttr *mergeVisibilityAttr(Decl *D, const AttributeCommonInfo &CI,
VisibilityAttr::VisibilityType Vis);
UuidAttr *mergeUuidAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef UuidAsWritten, MSGuidDecl *GuidDecl);
DLLImportAttr *mergeDLLImportAttr(Decl *D, const AttributeCommonInfo &CI);
DLLExportAttr *mergeDLLExportAttr(Decl *D, const AttributeCommonInfo &CI);
MSInheritanceAttr *mergeMSInheritanceAttr(Decl *D,
const AttributeCommonInfo &CI,
bool BestCase,
MSInheritanceModel Model);
FormatAttr *mergeFormatAttr(Decl *D, const AttributeCommonInfo &CI,
IdentifierInfo *Format, int FormatIdx,
int FirstArg);
SectionAttr *mergeSectionAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Name);
CodeSegAttr *mergeCodeSegAttr(Decl *D, const AttributeCommonInfo &CI,
StringRef Name);
AlwaysInlineAttr *mergeAlwaysInlineAttr(Decl *D,
const AttributeCommonInfo &CI,
const IdentifierInfo *Ident);
MinSizeAttr *mergeMinSizeAttr(Decl *D, const AttributeCommonInfo &CI);
NoSpeculativeLoadHardeningAttr *
mergeNoSpeculativeLoadHardeningAttr(Decl *D,
const NoSpeculativeLoadHardeningAttr &AL);
SpeculativeLoadHardeningAttr *
mergeSpeculativeLoadHardeningAttr(Decl *D,
const SpeculativeLoadHardeningAttr &AL);
SwiftNameAttr *mergeSwiftNameAttr(Decl *D, const SwiftNameAttr &SNA,
StringRef Name);
OptimizeNoneAttr *mergeOptimizeNoneAttr(Decl *D,
const AttributeCommonInfo &CI);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D, const ParsedAttr &AL);
InternalLinkageAttr *mergeInternalLinkageAttr(Decl *D,
const InternalLinkageAttr &AL);
CommonAttr *mergeCommonAttr(Decl *D, const ParsedAttr &AL);
CommonAttr *mergeCommonAttr(Decl *D, const CommonAttr &AL);
WebAssemblyImportNameAttr *mergeImportNameAttr(
Decl *D, const WebAssemblyImportNameAttr &AL);
WebAssemblyImportModuleAttr *mergeImportModuleAttr(
Decl *D, const WebAssemblyImportModuleAttr &AL);
void mergeDeclAttributes(NamedDecl *New, Decl *Old,
AvailabilityMergeKind AMK = AMK_Redeclaration);
void MergeTypedefNameDecl(Scope *S, TypedefNameDecl *New,
LookupResult &OldDecls);
bool MergeFunctionDecl(FunctionDecl *New, NamedDecl *&Old, Scope *S,
bool MergeTypeWithOld);
bool MergeCompatibleFunctionDecls(FunctionDecl *New, FunctionDecl *Old,
Scope *S, bool MergeTypeWithOld);
void mergeObjCMethodDecls(ObjCMethodDecl *New, ObjCMethodDecl *Old);
void MergeVarDecl(VarDecl *New, LookupResult &Previous);
void MergeVarDeclTypes(VarDecl *New, VarDecl *Old, bool MergeTypeWithOld);
void MergeVarDeclExceptionSpecs(VarDecl *New, VarDecl *Old);
bool checkVarDeclRedefinition(VarDecl *OldDefn, VarDecl *NewDefn);
void notePreviousDefinition(const NamedDecl *Old, SourceLocation New);
bool MergeCXXFunctionDecl(FunctionDecl *New, FunctionDecl *Old, Scope *S);
// AssignmentAction - This is used by all the assignment diagnostic functions
// to represent what is actually causing the operation
enum AssignmentAction {
AA_Assigning,
AA_Passing,
AA_Returning,
AA_Converting,
AA_Initializing,
AA_Sending,
AA_Casting,
AA_Passing_CFAudited
};
/// C++ Overloading.
enum OverloadKind {
/// This is a legitimate overload: the existing declarations are
/// functions or function templates with different signatures.
Ovl_Overload,
/// This is not an overload because the signature exactly matches
/// an existing declaration.
Ovl_Match,
/// This is not an overload because the lookup results contain a
/// non-function.
Ovl_NonFunction
};
OverloadKind CheckOverload(Scope *S,
FunctionDecl *New,
const LookupResult &OldDecls,
NamedDecl *&OldDecl,
bool IsForUsingDecl);
bool IsOverload(FunctionDecl *New, FunctionDecl *Old, bool IsForUsingDecl,
bool ConsiderCudaAttrs = true,
bool ConsiderRequiresClauses = true);
enum class AllowedExplicit {
/// Allow no explicit functions to be used.
None,
/// Allow explicit conversion functions but not explicit constructors.
Conversions,
/// Allow both explicit conversion functions and explicit constructors.
All
};
ImplicitConversionSequence
TryImplicitConversion(Expr *From, QualType ToType,
bool SuppressUserConversions,
AllowedExplicit AllowExplicit,
bool InOverloadResolution,
bool CStyle,
bool AllowObjCWritebackConversion);
bool IsIntegralPromotion(Expr *From, QualType FromType, QualType ToType);
bool IsFloatingPointPromotion(QualType FromType, QualType ToType);
bool IsComplexPromotion(QualType FromType, QualType ToType);
bool IsPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType, bool &IncompatibleObjC);
bool isObjCWritebackConversion(QualType FromType, QualType ToType,
QualType &ConvertedType);
bool IsBlockPointerConversion(QualType FromType, QualType ToType,
QualType& ConvertedType);
bool FunctionParamTypesAreEqual(const FunctionProtoType *OldType,
const FunctionProtoType *NewType,
unsigned *ArgPos = nullptr);
void HandleFunctionTypeMismatch(PartialDiagnostic &PDiag,
QualType FromType, QualType ToType);
void maybeExtendBlockObject(ExprResult &E);
CastKind PrepareCastToObjCObjectPointer(ExprResult &E);
bool CheckPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath& BasePath,
bool IgnoreBaseAccess,
bool Diagnose = true);
bool IsMemberPointerConversion(Expr *From, QualType FromType, QualType ToType,
bool InOverloadResolution,
QualType &ConvertedType);
bool CheckMemberPointerConversion(Expr *From, QualType ToType,
CastKind &Kind,
CXXCastPath &BasePath,
bool IgnoreBaseAccess);
bool IsQualificationConversion(QualType FromType, QualType ToType,
bool CStyle, bool &ObjCLifetimeConversion);
bool IsFunctionConversion(QualType FromType, QualType ToType,
QualType &ResultTy);
bool DiagnoseMultipleUserDefinedConversion(Expr *From, QualType ToType);
bool isSameOrCompatibleFunctionType(CanQualType Param, CanQualType Arg);
ExprResult PerformMoveOrCopyInitialization(const InitializedEntity &Entity,
const VarDecl *NRVOCandidate,
QualType ResultType,
Expr *Value,
bool AllowNRVO = true);
bool CanPerformAggregateInitializationForOverloadResolution(
const InitializedEntity &Entity, InitListExpr *From);
bool IsStringInit(Expr *Init, const ArrayType *AT);
bool CanPerformCopyInitialization(const InitializedEntity &Entity,
ExprResult Init);
ExprResult PerformCopyInitialization(const InitializedEntity &Entity,
SourceLocation EqualLoc,
ExprResult Init,
bool TopLevelOfInitList = false,
bool AllowExplicit = false);
ExprResult PerformObjectArgumentInitialization(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
CXXMethodDecl *Method);
/// Check that the lifetime of the initializer (and its subobjects) is
/// sufficient for initializing the entity, and perform lifetime extension
/// (when permitted) if not.
void checkInitializerLifetime(const InitializedEntity &Entity, Expr *Init);
ExprResult PerformContextuallyConvertToBool(Expr *From);
ExprResult PerformContextuallyConvertToObjCPointer(Expr *From);
/// Contexts in which a converted constant expression is required.
enum CCEKind {
CCEK_CaseValue, ///< Expression in a case label.
CCEK_Enumerator, ///< Enumerator value with fixed underlying type.
CCEK_TemplateArg, ///< Value of a non-type template parameter.
CCEK_ArrayBound, ///< Array bound in array declarator or new-expression.
CCEK_ConstexprIf, ///< Condition in a constexpr if statement.
CCEK_ExplicitBool ///< Condition in an explicit(bool) specifier.
};
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
llvm::APSInt &Value, CCEKind CCE);
ExprResult CheckConvertedConstantExpression(Expr *From, QualType T,
APValue &Value, CCEKind CCE);
/// Abstract base class used to perform a contextual implicit
/// conversion from an expression to any type passing a filter.
class ContextualImplicitConverter {
public:
bool Suppress;
bool SuppressConversion;
ContextualImplicitConverter(bool Suppress = false,
bool SuppressConversion = false)
: Suppress(Suppress), SuppressConversion(SuppressConversion) {}
/// Determine whether the specified type is a valid destination type
/// for this conversion.
virtual bool match(QualType T) = 0;
/// Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a diagnostic when the expression has incomplete class type.
virtual SemaDiagnosticBuilder
diagnoseIncomplete(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a diagnostic when the only matching conversion function
/// is explicit.
virtual SemaDiagnosticBuilder diagnoseExplicitConv(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
/// Emits a note for the explicit conversion function.
virtual SemaDiagnosticBuilder
noteExplicitConv(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// Emits a diagnostic when there are multiple possible conversion
/// functions.
virtual SemaDiagnosticBuilder
diagnoseAmbiguous(Sema &S, SourceLocation Loc, QualType T) = 0;
/// Emits a note for one of the candidate conversions.
virtual SemaDiagnosticBuilder
noteAmbiguous(Sema &S, CXXConversionDecl *Conv, QualType ConvTy) = 0;
/// Emits a diagnostic when we picked a conversion function
/// (for cases when we are not allowed to pick a conversion function).
virtual SemaDiagnosticBuilder diagnoseConversion(
Sema &S, SourceLocation Loc, QualType T, QualType ConvTy) = 0;
virtual ~ContextualImplicitConverter() {}
};
class ICEConvertDiagnoser : public ContextualImplicitConverter {
bool AllowScopedEnumerations;
public:
ICEConvertDiagnoser(bool AllowScopedEnumerations,
bool Suppress, bool SuppressConversion)
: ContextualImplicitConverter(Suppress, SuppressConversion),
AllowScopedEnumerations(AllowScopedEnumerations) {}
/// Match an integral or (possibly scoped) enumeration type.
bool match(QualType T) override;
SemaDiagnosticBuilder
diagnoseNoMatch(Sema &S, SourceLocation Loc, QualType T) override {
return diagnoseNotInt(S, Loc, T);
}
/// Emits a diagnostic complaining that the expression does not have
/// integral or enumeration type.
virtual SemaDiagnosticBuilder
diagnoseNotInt(Sema &S, SourceLocation Loc, QualType T) = 0;
};
/// Perform a contextual implicit conversion.
ExprResult PerformContextualImplicitConversion(
SourceLocation Loc, Expr *FromE, ContextualImplicitConverter &Converter);
enum ObjCSubscriptKind {
OS_Array,
OS_Dictionary,
OS_Error
};
ObjCSubscriptKind CheckSubscriptingKind(Expr *FromE);
// Note that LK_String is intentionally after the other literals, as
// this is used for diagnostics logic.
enum ObjCLiteralKind {
LK_Array,
LK_Dictionary,
LK_Numeric,
LK_Boxed,
LK_String,
LK_Block,
LK_None
};
ObjCLiteralKind CheckLiteralKind(Expr *FromE);
ExprResult PerformObjectMemberConversion(Expr *From,
NestedNameSpecifier *Qualifier,
NamedDecl *FoundDecl,
NamedDecl *Member);
// Members have to be NamespaceDecl* or TranslationUnitDecl*.
// TODO: make this is a typesafe union.
typedef llvm::SmallSetVector<DeclContext *, 16> AssociatedNamespaceSet;
typedef llvm::SmallSetVector<CXXRecordDecl *, 16> AssociatedClassSet;
using ADLCallKind = CallExpr::ADLCallKind;
void AddOverloadCandidate(FunctionDecl *Function, DeclAccessPair FoundDecl,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool AllowExplicit = true,
bool AllowExplicitConversion = false,
ADLCallKind IsADLCandidate = ADLCallKind::NotADL,
ConversionSequenceList EarlyConversions = None,
OverloadCandidateParamOrder PO = {});
void AddFunctionCandidates(const UnresolvedSetImpl &Functions,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
bool FirstArgumentIsBase = false);
void AddMethodCandidate(DeclAccessPair FoundDecl,
QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversion = false,
OverloadCandidateParamOrder PO = {});
void AddMethodCandidate(CXXMethodDecl *Method,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, QualType ObjectType,
Expr::Classification ObjectClassification,
ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool SuppressUserConversions = false,
bool PartialOverloading = false,
ConversionSequenceList EarlyConversions = None,
OverloadCandidateParamOrder PO = {});
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,
OverloadCandidateParamOrder PO = {});
void AddTemplateOverloadCandidate(
FunctionTemplateDecl *FunctionTemplate, DeclAccessPair FoundDecl,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet, bool SuppressUserConversions = false,
bool PartialOverloading = false, bool AllowExplicit = true,
ADLCallKind IsADLCandidate = ADLCallKind::NotADL,
OverloadCandidateParamOrder PO = {});
bool CheckNonDependentConversions(
FunctionTemplateDecl *FunctionTemplate, ArrayRef<QualType> ParamTypes,
ArrayRef<Expr *> Args, OverloadCandidateSet &CandidateSet,
ConversionSequenceList &Conversions, bool SuppressUserConversions,
CXXRecordDecl *ActingContext = nullptr, QualType ObjectType = QualType(),
Expr::Classification ObjectClassification = {},
OverloadCandidateParamOrder PO = {});
void AddConversionCandidate(
CXXConversionDecl *Conversion, DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet, bool AllowObjCConversionOnExplicit,
bool AllowExplicit, bool AllowResultConversion = true);
void AddTemplateConversionCandidate(
FunctionTemplateDecl *FunctionTemplate, DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext, Expr *From, QualType ToType,
OverloadCandidateSet &CandidateSet, bool AllowObjCConversionOnExplicit,
bool AllowExplicit, bool AllowResultConversion = true);
void AddSurrogateCandidate(CXXConversionDecl *Conversion,
DeclAccessPair FoundDecl,
CXXRecordDecl *ActingContext,
const FunctionProtoType *Proto,
Expr *Object, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddNonMemberOperatorCandidates(
const UnresolvedSetImpl &Functions, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
void AddMemberOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
OverloadCandidateParamOrder PO = {});
void AddBuiltinCandidate(QualType *ParamTys, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet,
bool IsAssignmentOperator = false,
unsigned NumContextualBoolArguments = 0);
void AddBuiltinOperatorCandidates(OverloadedOperatorKind Op,
SourceLocation OpLoc, ArrayRef<Expr *> Args,
OverloadCandidateSet& CandidateSet);
void AddArgumentDependentLookupCandidates(DeclarationName Name,
SourceLocation Loc,
ArrayRef<Expr *> Args,
TemplateArgumentListInfo *ExplicitTemplateArgs,
OverloadCandidateSet& CandidateSet,
bool PartialOverloading = false);
// Emit as a 'note' the specific overload candidate
void NoteOverloadCandidate(
NamedDecl *Found, FunctionDecl *Fn,
OverloadCandidateRewriteKind RewriteKind = OverloadCandidateRewriteKind(),
QualType DestType = QualType(), bool TakingAddress = false);
// Emit as a series of 'note's all template and non-templates identified by
// the expression Expr
void NoteAllOverloadCandidates(Expr *E, QualType DestType = QualType(),
bool TakingAddress = false);
/// Check the enable_if expressions on the given function. Returns the first
/// failing attribute, or NULL if they were all successful.
EnableIfAttr *CheckEnableIf(FunctionDecl *Function, SourceLocation CallLoc,
ArrayRef<Expr *> Args,
bool MissingImplicitThis = false);
/// Find the failed Boolean condition within a given Boolean
/// constant expression, and describe it with a string.
std::pair<Expr *, std::string> findFailedBooleanCondition(Expr *Cond);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// non-ArgDependent DiagnoseIfAttrs.
///
/// Argument-dependent diagnose_if attributes should be checked each time a
/// function is used as a direct callee of a function call.
///
/// Returns true if any errors were emitted.
bool diagnoseArgDependentDiagnoseIfAttrs(const FunctionDecl *Function,
const Expr *ThisArg,
ArrayRef<const Expr *> Args,
SourceLocation Loc);
/// Emit diagnostics for the diagnose_if attributes on Function, ignoring any
/// ArgDependent DiagnoseIfAttrs.
///
/// Argument-independent diagnose_if attributes should be checked on every use
/// of a function.
///
/// Returns true if any errors were emitted.
bool diagnoseArgIndependentDiagnoseIfAttrs(const NamedDecl *ND,
SourceLocation Loc);
/// Returns whether the given function's address can be taken or not,
/// optionally emitting a diagnostic if the address can't be taken.
///
/// Returns false if taking the address of the function is illegal.
bool checkAddressOfFunctionIsAvailable(const FunctionDecl *Function,
bool Complain = false,
SourceLocation Loc = SourceLocation());
// [PossiblyAFunctionType] --> [Return]
// NonFunctionType --> NonFunctionType
// R (A) --> R(A)
// R (*)(A) --> R (A)
// R (&)(A) --> R (A)
// R (S::*)(A) --> R (A)
QualType ExtractUnqualifiedFunctionType(QualType PossiblyAFunctionType);
FunctionDecl *
ResolveAddressOfOverloadedFunction(Expr *AddressOfExpr,
QualType TargetType,
bool Complain,
DeclAccessPair &Found,
bool *pHadMultipleCandidates = nullptr);
FunctionDecl *
resolveAddressOfSingleOverloadCandidate(Expr *E, DeclAccessPair &FoundResult);
bool resolveAndFixAddressOfSingleOverloadCandidate(
ExprResult &SrcExpr, bool DoFunctionPointerConversion = false);
FunctionDecl *
ResolveSingleFunctionTemplateSpecialization(OverloadExpr *ovl,
bool Complain = false,
DeclAccessPair *Found = nullptr);
bool ResolveAndFixSingleFunctionTemplateSpecialization(
ExprResult &SrcExpr,
bool DoFunctionPointerConverion = false,
bool Complain = false,
SourceRange OpRangeForComplaining = SourceRange(),
QualType DestTypeForComplaining = QualType(),
unsigned DiagIDForComplaining = 0);
Expr *FixOverloadedFunctionReference(Expr *E,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
ExprResult FixOverloadedFunctionReference(ExprResult,
DeclAccessPair FoundDecl,
FunctionDecl *Fn);
void AddOverloadedCallCandidates(UnresolvedLookupExpr *ULE,
ArrayRef<Expr *> Args,
OverloadCandidateSet &CandidateSet,
bool PartialOverloading = false);
// An enum used to represent the different possible results of building a
// range-based for loop.
enum ForRangeStatus {
FRS_Success,
FRS_NoViableFunction,
FRS_DiagnosticIssued
};
ForRangeStatus BuildForRangeBeginEndCall(SourceLocation Loc,
SourceLocation RangeLoc,
const DeclarationNameInfo &NameInfo,
LookupResult &MemberLookup,
OverloadCandidateSet *CandidateSet,
Expr *Range, ExprResult *CallExpr);
ExprResult BuildOverloadedCallExpr(Scope *S, Expr *Fn,
UnresolvedLookupExpr *ULE,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc,
Expr *ExecConfig,
bool AllowTypoCorrection=true,
bool CalleesAddressIsTaken=false);
bool buildOverloadedCallSet(Scope *S, Expr *Fn, UnresolvedLookupExpr *ULE,
MultiExprArg Args, SourceLocation RParenLoc,
OverloadCandidateSet *CandidateSet,
ExprResult *Result);
ExprResult CreateUnresolvedLookupExpr(CXXRecordDecl *NamingClass,
NestedNameSpecifierLoc NNSLoc,
DeclarationNameInfo DNI,
const UnresolvedSetImpl &Fns,
bool PerformADL = true);
ExprResult CreateOverloadedUnaryOp(SourceLocation OpLoc,
UnaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *input, bool RequiresADL = true);
void LookupOverloadedBinOp(OverloadCandidateSet &CandidateSet,
OverloadedOperatorKind Op,
const UnresolvedSetImpl &Fns,
ArrayRef<Expr *> Args, bool RequiresADL = true);
ExprResult CreateOverloadedBinOp(SourceLocation OpLoc,
BinaryOperatorKind Opc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS,
bool RequiresADL = true,
bool AllowRewrittenCandidates = true,
FunctionDecl *DefaultedFn = nullptr);
ExprResult BuildSynthesizedThreeWayComparison(SourceLocation OpLoc,
const UnresolvedSetImpl &Fns,
Expr *LHS, Expr *RHS,
FunctionDecl *DefaultedFn);
ExprResult CreateOverloadedArraySubscriptExpr(SourceLocation LLoc,
SourceLocation RLoc,
Expr *Base,Expr *Idx);
ExprResult
BuildCallToMemberFunction(Scope *S, Expr *MemExpr,
SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult
BuildCallToObjectOfClassType(Scope *S, Expr *Object, SourceLocation LParenLoc,
MultiExprArg Args,
SourceLocation RParenLoc);
ExprResult BuildOverloadedArrowExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
bool *NoArrowOperatorFound = nullptr);
/// CheckCallReturnType - Checks that a call expression's return type is
/// complete. Returns true on failure. The location passed in is the location
/// that best represents the call.
bool CheckCallReturnType(QualType ReturnType, SourceLocation Loc,
CallExpr *CE, FunctionDecl *FD);
/// Helpers for dealing with blocks and functions.
bool CheckParmsForFunctionDef(ArrayRef<ParmVarDecl *> Parameters,
bool CheckParameterNames);
void CheckCXXDefaultArguments(FunctionDecl *FD);
void CheckExtraCXXDefaultArguments(Declarator &D);
Scope *getNonFieldDeclScope(Scope *S);
/// \name Name lookup
///
/// These routines provide name lookup that is used during semantic
/// analysis to resolve the various kinds of names (identifiers,
/// overloaded operator names, constructor names, etc.) into zero or
/// more declarations within a particular scope. The major entry
/// points are LookupName, which performs unqualified name lookup,
/// and LookupQualifiedName, which performs qualified name lookup.
///
/// All name lookup is performed based on some specific criteria,
/// which specify what names will be visible to name lookup and how
/// far name lookup should work. These criteria are important both
/// for capturing language semantics (certain lookups will ignore
/// certain names, for example) and for performance, since name
/// lookup is often a bottleneck in the compilation of C++. Name
/// lookup criteria is specified via the LookupCriteria enumeration.
///
/// The results of name lookup can vary based on the kind of name
/// lookup performed, the current language, and the translation
/// unit. In C, for example, name lookup will either return nothing
/// (no entity found) or a single declaration. In C++, name lookup
/// can additionally refer to a set of overloaded functions or
/// result in an ambiguity. All of the possible results of name
/// lookup are captured by the LookupResult class, which provides
/// the ability to distinguish among them.
//@{
/// Describes the kind of name lookup to perform.
enum LookupNameKind {
/// Ordinary name lookup, which finds ordinary names (functions,
/// variables, typedefs, etc.) in C and most kinds of names
/// (functions, variables, members, types, etc.) in C++.
LookupOrdinaryName = 0,
/// Tag name lookup, which finds the names of enums, classes,
/// structs, and unions.
LookupTagName,
/// Label name lookup.
LookupLabel,
/// Member name lookup, which finds the names of
/// class/struct/union members.
LookupMemberName,
/// Look up of an operator name (e.g., operator+) for use with
/// operator overloading. This lookup is similar to ordinary name
/// lookup, but will ignore any declarations that are class members.
LookupOperatorName,
/// Look up a name following ~ in a destructor name. This is an ordinary
/// lookup, but prefers tags to typedefs.
LookupDestructorName,
/// Look up of a name that precedes the '::' scope resolution
/// operator in C++. This lookup completely ignores operator, object,
/// function, and enumerator names (C++ [basic.lookup.qual]p1).
LookupNestedNameSpecifierName,
/// Look up a namespace name within a C++ using directive or
/// namespace alias definition, ignoring non-namespace names (C++
/// [basic.lookup.udir]p1).
LookupNamespaceName,
/// Look up all declarations in a scope with the given name,
/// including resolved using declarations. This is appropriate
/// for checking redeclarations for a using declaration.
LookupUsingDeclName,
/// Look up an ordinary name that is going to be redeclared as a
/// name with linkage. This lookup ignores any declarations that
/// are outside of the current scope unless they have linkage. See
/// C99 6.2.2p4-5 and C++ [basic.link]p6.
LookupRedeclarationWithLinkage,
/// Look up a friend of a local class. This lookup does not look
/// outside the innermost non-class scope. See C++11 [class.friend]p11.
LookupLocalFriendName,
/// Look up the name of an Objective-C protocol.
LookupObjCProtocolName,
/// Look up implicit 'self' parameter of an objective-c method.
LookupObjCImplicitSelfParam,
/// Look up the name of an OpenMP user-defined reduction operation.
LookupOMPReductionName,
/// Look up the name of an OpenMP user-defined mapper.
LookupOMPMapperName,
/// Look up any declaration with any name.
LookupAnyName
};
/// Specifies whether (or how) name lookup is being performed for a
/// redeclaration (vs. a reference).
enum RedeclarationKind {
/// The lookup is a reference to this name that is not for the
/// purpose of redeclaring the name.
NotForRedeclaration = 0,
/// The lookup results will be used for redeclaration of a name,
/// if an entity by that name already exists and is visible.
ForVisibleRedeclaration,
/// The lookup results will be used for redeclaration of a name
/// with external linkage; non-visible lookup results with external linkage
/// may also be found.
ForExternalRedeclaration
};
RedeclarationKind forRedeclarationInCurContext() {
// A declaration with an owning module for linkage can never link against
// anything that is not visible. We don't need to check linkage here; if
// the context has internal linkage, redeclaration lookup won't find things
// from other TUs, and we can't safely compute linkage yet in general.
if (cast<Decl>(CurContext)
->getOwningModuleForLinkage(/*IgnoreLinkage*/true))
return ForVisibleRedeclaration;
return ForExternalRedeclaration;
}
/// The possible outcomes of name lookup for a literal operator.
enum LiteralOperatorLookupResult {
/// The lookup resulted in an error.
LOLR_Error,
/// The lookup found no match but no diagnostic was issued.
LOLR_ErrorNoDiagnostic,
/// The lookup found a single 'cooked' literal operator, which
/// expects a normal literal to be built and passed to it.
LOLR_Cooked,
/// The lookup found a single 'raw' literal operator, which expects
/// a string literal containing the spelling of the literal token.
LOLR_Raw,
/// The lookup found an overload set of literal operator templates,
/// which expect the characters of the spelling of the literal token to be
/// passed as a non-type template argument pack.
LOLR_Template,
/// The lookup found an overload set of literal operator templates,
/// which expect the character type and characters of the spelling of the
/// string literal token to be passed as template arguments.
LOLR_StringTemplate
};
SpecialMemberOverloadResult LookupSpecialMember(CXXRecordDecl *D,
CXXSpecialMember SM,
bool ConstArg,
bool VolatileArg,
bool RValueThis,
bool ConstThis,
bool VolatileThis);
typedef std::function<void(const TypoCorrection &)> TypoDiagnosticGenerator;
typedef std::function<ExprResult(Sema &, TypoExpr *, TypoCorrection)>
TypoRecoveryCallback;
private:
bool CppLookupName(LookupResult &R, Scope *S);
struct TypoExprState {
std::unique_ptr<TypoCorrectionConsumer> Consumer;
TypoDiagnosticGenerator DiagHandler;
TypoRecoveryCallback RecoveryHandler;
TypoExprState();
TypoExprState(TypoExprState &&other) noexcept;
TypoExprState &operator=(TypoExprState &&other) noexcept;
};
/// The set of unhandled TypoExprs and their associated state.
llvm::MapVector<TypoExpr *, TypoExprState> DelayedTypos;
/// Creates a new TypoExpr AST node.
TypoExpr *createDelayedTypo(std::unique_ptr<TypoCorrectionConsumer> TCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC, SourceLocation TypoLoc);
// The set of known/encountered (unique, canonicalized) NamespaceDecls.
//
// The boolean value will be true to indicate that the namespace was loaded
// from an AST/PCH file, or false otherwise.
llvm::MapVector<NamespaceDecl*, bool> KnownNamespaces;
/// Whether we have already loaded known namespaces from an extenal
/// source.
bool LoadedExternalKnownNamespaces;
/// Helper for CorrectTypo and CorrectTypoDelayed used to create and
/// populate a new TypoCorrectionConsumer. Returns nullptr if typo correction
/// should be skipped entirely.
std::unique_ptr<TypoCorrectionConsumer>
makeTypoCorrectionConsumer(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind, Scope *S,
CXXScopeSpec *SS,
CorrectionCandidateCallback &CCC,
DeclContext *MemberContext, bool EnteringContext,
const ObjCObjectPointerType *OPT,
bool ErrorRecovery);
public:
const TypoExprState &getTypoExprState(TypoExpr *TE) const;
/// Clears the state of the given TypoExpr.
void clearDelayedTypo(TypoExpr *TE);
/// Look up a name, looking for a single declaration. Return
/// null if the results were absent, ambiguous, or overloaded.
///
/// It is preferable to use the elaborated form and explicitly handle
/// ambiguity and overloaded.
NamedDecl *LookupSingleName(Scope *S, DeclarationName Name,
SourceLocation Loc,
LookupNameKind NameKind,
RedeclarationKind Redecl
= NotForRedeclaration);
bool LookupBuiltin(LookupResult &R);
void LookupNecessaryTypesForBuiltin(Scope *S, unsigned ID);
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,
UnresolvedSetImpl &Functions);
LabelDecl *LookupOrCreateLabel(IdentifierInfo *II, SourceLocation IdentLoc,
SourceLocation GnuLabelLoc = SourceLocation());
DeclContextLookupResult LookupConstructors(CXXRecordDecl *Class);
CXXConstructorDecl *LookupDefaultConstructor(CXXRecordDecl *Class);
CXXConstructorDecl *LookupCopyingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupCopyingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXConstructorDecl *LookupMovingConstructor(CXXRecordDecl *Class,
unsigned Quals);
CXXMethodDecl *LookupMovingAssignment(CXXRecordDecl *Class, unsigned Quals,
bool RValueThis, unsigned ThisQuals);
CXXDestructorDecl *LookupDestructor(CXXRecordDecl *Class);
bool checkLiteralOperatorId(const CXXScopeSpec &SS, const UnqualifiedId &Id);
LiteralOperatorLookupResult LookupLiteralOperator(Scope *S, LookupResult &R,
ArrayRef<QualType> ArgTys,
bool AllowRaw,
bool AllowTemplate,
bool AllowStringTemplate,
bool DiagnoseMissing);
bool isKnownName(StringRef name);
/// Status of the function emission on the CUDA/HIP/OpenMP host/device attrs.
enum class FunctionEmissionStatus {
Emitted,
CUDADiscarded, // Discarded due to CUDA/HIP hostness
OMPDiscarded, // Discarded due to OpenMP hostness
TemplateDiscarded, // Discarded due to uninstantiated templates
Unknown,
};
FunctionEmissionStatus getEmissionStatus(FunctionDecl *Decl,
bool Final = false);
// Whether the callee should be ignored in CUDA/HIP/OpenMP host/device check.
bool shouldIgnoreInHostDeviceCheck(FunctionDecl *Callee);
void ArgumentDependentLookup(DeclarationName Name, SourceLocation Loc,
ArrayRef<Expr *> Args, ADLResult &Functions);
void LookupVisibleDecls(Scope *S, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool LoadExternal = true);
void LookupVisibleDecls(DeclContext *Ctx, LookupNameKind Kind,
VisibleDeclConsumer &Consumer,
bool IncludeGlobalScope = true,
bool IncludeDependentBases = false,
bool LoadExternal = true);
enum CorrectTypoKind {
CTK_NonError, // CorrectTypo used in a non error recovery situation.
CTK_ErrorRecovery // CorrectTypo used in normal error recovery.
};
TypoCorrection CorrectTypo(const DeclarationNameInfo &Typo,
Sema::LookupNameKind LookupKind,
Scope *S, CXXScopeSpec *SS,
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,
CorrectionCandidateCallback &CCC,
TypoDiagnosticGenerator TDG,
TypoRecoveryCallback TRC, CorrectTypoKind Mode,
DeclContext *MemberContext = nullptr,
bool EnteringContext = false,
const ObjCObjectPointerType *OPT = nullptr);
/// Process any TypoExprs in the given Expr and its children,
/// generating diagnostics as appropriate and returning a new Expr if there
/// were typos that were all successfully corrected and ExprError if one or
/// more typos could not be corrected.
///
/// \param E The Expr to check for TypoExprs.
///
/// \param InitDecl A VarDecl to avoid because the Expr being corrected is its
/// initializer.
///
/// \param RecoverUncorrectedTypos If true, when typo correction fails, it
/// will rebuild the given Expr with all TypoExprs degraded to RecoveryExprs.
///
/// \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,
bool RecoverUncorrectedTypos = false,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; });
ExprResult CorrectDelayedTyposInExpr(
ExprResult ER, VarDecl *InitDecl = nullptr,
bool RecoverUncorrectedTypos = false,
llvm::function_ref<ExprResult(Expr *)> Filter =
[](Expr *E) -> ExprResult { return E; }) {
return ER.isInvalid()
? ER
: CorrectDelayedTyposInExpr(ER.get(), InitDecl,
RecoverUncorrectedTypos, Filter);
}
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
bool ErrorRecovery = true);
void diagnoseTypo(const TypoCorrection &Correction,
const PartialDiagnostic &TypoDiag,
const PartialDiagnostic &PrevNote,
bool ErrorRecovery = true);
void MarkTypoCorrectedFunctionDefinition(const NamedDecl *F);
void FindAssociatedClassesAndNamespaces(SourceLocation InstantiationLoc,
ArrayRef<Expr *> Args,
AssociatedNamespaceSet &AssociatedNamespaces,
AssociatedClassSet &AssociatedClasses);
void FilterLookupForScope(LookupResult &R, DeclContext *Ctx, Scope *S,
bool ConsiderLinkage, bool AllowInlineNamespace);
bool CheckRedeclarationModuleOwnership(NamedDecl *New, NamedDecl *Old);
void DiagnoseAmbiguousLookup(LookupResult &Result);
//@}
/// Attempts to produce a RecoveryExpr after some AST node cannot be created.
ExprResult CreateRecoveryExpr(SourceLocation Begin, SourceLocation End,
ArrayRef<Expr *> SubExprs,
QualType T = QualType());
ObjCInterfaceDecl *getObjCInterfaceDecl(IdentifierInfo *&Id,
SourceLocation IdLoc,
bool TypoCorrection = false);
FunctionDecl *CreateBuiltin(IdentifierInfo *II, QualType Type, unsigned ID,
SourceLocation Loc);
NamedDecl *LazilyCreateBuiltin(IdentifierInfo *II, unsigned ID,
Scope *S, bool ForRedeclaration,
SourceLocation Loc);
NamedDecl *ImplicitlyDefineFunction(SourceLocation Loc, IdentifierInfo &II,
Scope *S);
void AddKnownFunctionAttributesForReplaceableGlobalAllocationFunction(
FunctionDecl *FD);
void AddKnownFunctionAttributes(FunctionDecl *FD);
// More parsing and symbol table subroutines.
void ProcessPragmaWeak(Scope *S, Decl *D);
// Decl attributes - this routine is the top level dispatcher.
void ProcessDeclAttributes(Scope *S, Decl *D, const Declarator &PD);
// Helper for delayed processing of attributes.
void ProcessDeclAttributeDelayed(Decl *D,
const ParsedAttributesView &AttrList);
void ProcessDeclAttributeList(Scope *S, Decl *D, const ParsedAttributesView &AL,
bool IncludeCXX11Attributes = true);
bool ProcessAccessDeclAttributeList(AccessSpecDecl *ASDecl,
const ParsedAttributesView &AttrList);
void checkUnusedDeclAttributes(Declarator &D);
/// Determine if type T is a valid subject for a nonnull and similar
/// attributes. By default, we look through references (the behavior used by
/// nonnull), but if the second parameter is true, then we treat a reference
/// type as valid.
bool isValidPointerAttrType(QualType T, bool RefOkay = false);
bool CheckRegparmAttr(const ParsedAttr &attr, unsigned &value);
bool CheckCallingConvAttr(const ParsedAttr &attr, CallingConv &CC,
const FunctionDecl *FD = nullptr);
bool CheckAttrTarget(const ParsedAttr &CurrAttr);
bool CheckAttrNoArgs(const ParsedAttr &CurrAttr);
bool checkStringLiteralArgumentAttr(const ParsedAttr &Attr, unsigned ArgNum,
StringRef &Str,
SourceLocation *ArgLocation = nullptr);
bool checkSectionName(SourceLocation LiteralLoc, StringRef Str);
bool checkTargetAttr(SourceLocation LiteralLoc, StringRef Str);
bool checkMSInheritanceAttrOnDefinition(
CXXRecordDecl *RD, SourceRange Range, bool BestCase,
MSInheritanceModel SemanticSpelling);
void CheckAlignasUnderalignment(Decl *D);
/// Adjust the calling convention of a method to be the ABI default if it
/// wasn't specified explicitly. This handles method types formed from
/// function type typedefs and typename template arguments.
void adjustMemberFunctionCC(QualType &T, bool IsStatic, bool IsCtorOrDtor,
SourceLocation Loc);
// Check if there is an explicit attribute, but only look through parens.
// The intent is to look for an attribute on the current declarator, but not
// one that came from a typedef.
bool hasExplicitCallingConv(QualType T);
/// Get the outermost AttributedType node that sets a calling convention.
/// Valid types should not have multiple attributes with different CCs.
const AttributedType *getCallingConvAttributedType(QualType T) const;
/// Stmt attributes - this routine is the top level dispatcher.
StmtResult ProcessStmtAttributes(Stmt *Stmt,
const ParsedAttributesView &Attrs,
SourceRange Range);
void WarnConflictingTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
void CheckConflictingOverridingMethod(ObjCMethodDecl *Method,
ObjCMethodDecl *Overridden,
bool IsProtocolMethodDecl);
/// WarnExactTypedMethods - This routine issues a warning if method
/// implementation declaration matches exactly that of its declaration.
void WarnExactTypedMethods(ObjCMethodDecl *Method,
ObjCMethodDecl *MethodDecl,
bool IsProtocolMethodDecl);
typedef llvm::SmallPtrSet<Selector, 8> SelectorSet;
/// CheckImplementationIvars - This routine checks if the instance variables
/// listed in the implelementation match those listed in the interface.
void CheckImplementationIvars(ObjCImplementationDecl *ImpDecl,
ObjCIvarDecl **Fields, unsigned nIvars,
SourceLocation Loc);
/// ImplMethodsVsClassMethods - This is main routine to warn if any method
/// remains unimplemented in the class or category \@implementation.
void ImplMethodsVsClassMethods(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool IncompleteImpl = false);
/// DiagnoseUnimplementedProperties - This routine warns on those properties
/// which must be implemented by this implementation.
void DiagnoseUnimplementedProperties(Scope *S, ObjCImplDecl* IMPDecl,
ObjCContainerDecl *CDecl,
bool SynthesizeProperties);
/// Diagnose any null-resettable synthesized setters.
void diagnoseNullResettableSynthesizedSetters(const ObjCImplDecl *impDecl);
/// DefaultSynthesizeProperties - This routine default synthesizes all
/// properties which must be synthesized in the class's \@implementation.
void DefaultSynthesizeProperties(Scope *S, ObjCImplDecl *IMPDecl,
ObjCInterfaceDecl *IDecl,
SourceLocation AtEnd);
void DefaultSynthesizeProperties(Scope *S, Decl *D, SourceLocation AtEnd);
/// IvarBacksCurrentMethodAccessor - This routine returns 'true' if 'IV' is
/// an ivar synthesized for 'Method' and 'Method' is a property accessor
/// declared in class 'IFace'.
bool IvarBacksCurrentMethodAccessor(ObjCInterfaceDecl *IFace,
ObjCMethodDecl *Method, ObjCIvarDecl *IV);
/// DiagnoseUnusedBackingIvarInAccessor - Issue an 'unused' warning if ivar which
/// backs the property is not used in the property's accessor.
void DiagnoseUnusedBackingIvarInAccessor(Scope *S,
const ObjCImplementationDecl *ImplD);
/// GetIvarBackingPropertyAccessor - If method is a property setter/getter and
/// it property has a backing ivar, returns this ivar; otherwise, returns NULL.
/// It also returns ivar's property on success.
ObjCIvarDecl *GetIvarBackingPropertyAccessor(const ObjCMethodDecl *Method,
const ObjCPropertyDecl *&PDecl) const;
/// Called by ActOnProperty to handle \@property declarations in
/// class extensions.
ObjCPropertyDecl *HandlePropertyInClassExtension(Scope *S,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
unsigned &Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind);
/// Called by ActOnProperty and HandlePropertyInClassExtension to
/// handle creating the ObjcPropertyDecl for a category or \@interface.
ObjCPropertyDecl *CreatePropertyDecl(Scope *S,
ObjCContainerDecl *CDecl,
SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD,
Selector GetterSel,
SourceLocation GetterNameLoc,
Selector SetterSel,
SourceLocation SetterNameLoc,
const bool isReadWrite,
const unsigned Attributes,
const unsigned AttributesAsWritten,
QualType T,
TypeSourceInfo *TSI,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
/// AtomicPropertySetterGetterRules - This routine enforces the rule (via
/// warning) when atomic property has one but not the other user-declared
/// setter or getter.
void AtomicPropertySetterGetterRules(ObjCImplDecl* IMPDecl,
ObjCInterfaceDecl* IDecl);
void DiagnoseOwningPropertyGetterSynthesis(const ObjCImplementationDecl *D);
void DiagnoseMissingDesignatedInitOverrides(
const ObjCImplementationDecl *ImplD,
const ObjCInterfaceDecl *IFD);
void DiagnoseDuplicateIvars(ObjCInterfaceDecl *ID, ObjCInterfaceDecl *SID);
enum MethodMatchStrategy {
MMS_loose,
MMS_strict
};
/// MatchTwoMethodDeclarations - Checks if two methods' type match and returns
/// true, or false, accordingly.
bool MatchTwoMethodDeclarations(const ObjCMethodDecl *Method,
const ObjCMethodDecl *PrevMethod,
MethodMatchStrategy strategy = MMS_strict);
/// MatchAllMethodDeclarations - Check methods declaraed in interface or
/// or protocol against those declared in their implementations.
void MatchAllMethodDeclarations(const SelectorSet &InsMap,
const SelectorSet &ClsMap,
SelectorSet &InsMapSeen,
SelectorSet &ClsMapSeen,
ObjCImplDecl* IMPDecl,
ObjCContainerDecl* IDecl,
bool &IncompleteImpl,
bool ImmediateClass,
bool WarnCategoryMethodImpl=false);
/// CheckCategoryVsClassMethodMatches - Checks that methods implemented in
/// category matches with those implemented in its primary class and
/// warns each time an exact match is found.
void CheckCategoryVsClassMethodMatches(ObjCCategoryImplDecl *CatIMP);
/// Add the given method to the list of globally-known methods.
void addMethodToGlobalList(ObjCMethodList *List, ObjCMethodDecl *Method);
/// Returns default addr space for method qualifiers.
LangAS getDefaultCXXMethodAddrSpace() const;
private:
/// AddMethodToGlobalPool - Add an instance or factory method to the global
/// pool. See descriptoin of AddInstanceMethodToGlobalPool.
void AddMethodToGlobalPool(ObjCMethodDecl *Method, bool impl, bool instance);
/// LookupMethodInGlobalPool - Returns the instance or factory method and
/// optionally warns if there are multiple signatures.
ObjCMethodDecl *LookupMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass,
bool instance);
public:
/// - Returns instance or factory methods in global method pool for
/// given selector. It checks the desired kind first, if none is found, and
/// parameter checkTheOther is set, it then checks the other kind. If no such
/// method or only one method is found, function returns false; otherwise, it
/// returns true.
bool
CollectMultipleMethodsInGlobalPool(Selector Sel,
SmallVectorImpl<ObjCMethodDecl*>& Methods,
bool InstanceFirst, bool CheckTheOther,
const ObjCObjectType *TypeBound = nullptr);
bool
AreMultipleMethodsInGlobalPool(Selector Sel, ObjCMethodDecl *BestMethod,
SourceRange R, bool receiverIdOrClass,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
void
DiagnoseMultipleMethodInGlobalPool(SmallVectorImpl<ObjCMethodDecl*> &Methods,
Selector Sel, SourceRange R,
bool receiverIdOrClass);
private:
/// - Returns a selector which best matches given argument list or
/// nullptr if none could be found
ObjCMethodDecl *SelectBestMethod(Selector Sel, MultiExprArg Args,
bool IsInstance,
SmallVectorImpl<ObjCMethodDecl*>& Methods);
/// Record the typo correction failure and return an empty correction.
TypoCorrection FailedCorrection(IdentifierInfo *Typo, SourceLocation TypoLoc,
bool RecordFailure = true) {
if (RecordFailure)
TypoCorrectionFailures[Typo].insert(TypoLoc);
return TypoCorrection();
}
public:
/// AddInstanceMethodToGlobalPool - All instance methods in a translation
/// unit are added to a global pool. This allows us to efficiently associate
/// a selector with a method declaraation for purposes of typechecking
/// messages sent to "id" (where the class of the object is unknown).
void AddInstanceMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/true);
}
/// AddFactoryMethodToGlobalPool - Same as above, but for factory methods.
void AddFactoryMethodToGlobalPool(ObjCMethodDecl *Method, bool impl=false) {
AddMethodToGlobalPool(Method, impl, /*instance*/false);
}
/// AddAnyMethodToGlobalPool - Add any method, instance or factory to global
/// pool.
void AddAnyMethodToGlobalPool(Decl *D);
/// LookupInstanceMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupInstanceMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/true);
}
/// LookupFactoryMethodInGlobalPool - Returns the method and warns if
/// there are multiple signatures.
ObjCMethodDecl *LookupFactoryMethodInGlobalPool(Selector Sel, SourceRange R,
bool receiverIdOrClass=false) {
return LookupMethodInGlobalPool(Sel, R, receiverIdOrClass,
/*instance*/false);
}
const ObjCMethodDecl *SelectorsForTypoCorrection(Selector Sel,
QualType ObjectType=QualType());
/// LookupImplementedMethodInGlobalPool - Returns the method which has an
/// implementation.
ObjCMethodDecl *LookupImplementedMethodInGlobalPool(Selector Sel);
/// CollectIvarsToConstructOrDestruct - Collect those ivars which require
/// initialization.
void CollectIvarsToConstructOrDestruct(ObjCInterfaceDecl *OI,
SmallVectorImpl<ObjCIvarDecl*> &Ivars);
//===--------------------------------------------------------------------===//
// Statement Parsing Callbacks: SemaStmt.cpp.
public:
class FullExprArg {
public:
FullExprArg() : E(nullptr) { }
FullExprArg(Sema &actions) : E(nullptr) { }
ExprResult release() {
return E;
}
Expr *get() const { return E; }
Expr *operator->() {
return E;
}
private:
// FIXME: No need to make the entire Sema class a friend when it's just
// Sema::MakeFullExpr that needs access to the constructor below.
friend class Sema;
explicit FullExprArg(Expr *expr) : E(expr) {}
Expr *E;
};
FullExprArg MakeFullExpr(Expr *Arg) {
return MakeFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation());
}
FullExprArg MakeFullExpr(Expr *Arg, SourceLocation CC) {
return FullExprArg(
ActOnFinishFullExpr(Arg, CC, /*DiscardedValue*/ false).get());
}
FullExprArg MakeFullDiscardedValueExpr(Expr *Arg) {
ExprResult FE =
ActOnFinishFullExpr(Arg, Arg ? Arg->getExprLoc() : SourceLocation(),
/*DiscardedValue*/ true);
return FullExprArg(FE.get());
}
StmtResult ActOnExprStmt(ExprResult Arg, bool DiscardedValue = true);
StmtResult ActOnExprStmtError();
StmtResult ActOnNullStmt(SourceLocation SemiLoc,
bool HasLeadingEmptyMacro = false);
void ActOnStartOfCompoundStmt(bool IsStmtExpr);
void ActOnFinishOfCompoundStmt();
StmtResult ActOnCompoundStmt(SourceLocation L, SourceLocation R,
ArrayRef<Stmt *> Elts, bool isStmtExpr);
/// A RAII object to enter scope of a compound statement.
class CompoundScopeRAII {
public:
CompoundScopeRAII(Sema &S, bool IsStmtExpr = false) : S(S) {
S.ActOnStartOfCompoundStmt(IsStmtExpr);
}
~CompoundScopeRAII() {
S.ActOnFinishOfCompoundStmt();
}
private:
Sema &S;
};
/// An RAII helper that pops function a function scope on exit.
struct FunctionScopeRAII {
Sema &S;
bool Active;
FunctionScopeRAII(Sema &S) : S(S), Active(true) {}
~FunctionScopeRAII() {
if (Active)
S.PopFunctionScopeInfo();
}
void disable() { Active = false; }
};
StmtResult ActOnDeclStmt(DeclGroupPtrTy Decl,
SourceLocation StartLoc,
SourceLocation EndLoc);
void ActOnForEachDeclStmt(DeclGroupPtrTy Decl);
StmtResult ActOnForEachLValueExpr(Expr *E);
ExprResult ActOnCaseExpr(SourceLocation CaseLoc, ExprResult Val);
StmtResult ActOnCaseStmt(SourceLocation CaseLoc, ExprResult LHS,
SourceLocation DotDotDotLoc, ExprResult RHS,
SourceLocation ColonLoc);
void ActOnCaseStmtBody(Stmt *CaseStmt, Stmt *SubStmt);
StmtResult ActOnDefaultStmt(SourceLocation DefaultLoc,
SourceLocation ColonLoc,
Stmt *SubStmt, Scope *CurScope);
StmtResult ActOnLabelStmt(SourceLocation IdentLoc, LabelDecl *TheDecl,
SourceLocation ColonLoc, Stmt *SubStmt);
StmtResult ActOnAttributedStmt(SourceLocation AttrLoc,
ArrayRef<const Attr*> Attrs,
Stmt *SubStmt);
bool CheckRebuiltAttributedStmtAttributes(ArrayRef<const Attr *> Attrs);
class ConditionResult;
StmtResult ActOnIfStmt(SourceLocation IfLoc, bool IsConstexpr,
SourceLocation LParenLoc, Stmt *InitStmt,
ConditionResult Cond, SourceLocation RParenLoc,
Stmt *ThenVal, SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult BuildIfStmt(SourceLocation IfLoc, bool IsConstexpr,
SourceLocation LParenLoc, Stmt *InitStmt,
ConditionResult Cond, SourceLocation RParenLoc,
Stmt *ThenVal, SourceLocation ElseLoc, Stmt *ElseVal);
StmtResult ActOnStartOfSwitchStmt(SourceLocation SwitchLoc,
SourceLocation LParenLoc, Stmt *InitStmt,
ConditionResult Cond,
SourceLocation RParenLoc);
StmtResult ActOnFinishSwitchStmt(SourceLocation SwitchLoc,
Stmt *Switch, Stmt *Body);
StmtResult ActOnWhileStmt(SourceLocation WhileLoc, SourceLocation LParenLoc,
ConditionResult Cond, SourceLocation RParenLoc,
Stmt *Body);
StmtResult ActOnDoStmt(SourceLocation DoLoc, Stmt *Body,
SourceLocation WhileLoc, SourceLocation CondLParen,
Expr *Cond, SourceLocation CondRParen);
StmtResult ActOnForStmt(SourceLocation ForLoc,
SourceLocation LParenLoc,
Stmt *First,
ConditionResult Second,
FullExprArg Third,
SourceLocation RParenLoc,
Stmt *Body);
ExprResult CheckObjCForCollectionOperand(SourceLocation forLoc,
Expr *collection);
StmtResult ActOnObjCForCollectionStmt(SourceLocation ForColLoc,
Stmt *First, Expr *collection,
SourceLocation RParenLoc);
StmtResult FinishObjCForCollectionStmt(Stmt *ForCollection, Stmt *Body);
enum BuildForRangeKind {
/// Initial building of a for-range statement.
BFRK_Build,
/// Instantiation or recovery rebuild of a for-range statement. Don't
/// attempt any typo-correction.
BFRK_Rebuild,
/// Determining whether a for-range statement could be built. Avoid any
/// unnecessary or irreversible actions.
BFRK_Check
};
StmtResult ActOnCXXForRangeStmt(Scope *S, SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *InitStmt,
Stmt *LoopVar,
SourceLocation ColonLoc, Expr *Collection,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult BuildCXXForRangeStmt(SourceLocation ForLoc,
SourceLocation CoawaitLoc,
Stmt *InitStmt,
SourceLocation ColonLoc,
Stmt *RangeDecl, Stmt *Begin, Stmt *End,
Expr *Cond, Expr *Inc,
Stmt *LoopVarDecl,
SourceLocation RParenLoc,
BuildForRangeKind Kind);
StmtResult FinishCXXForRangeStmt(Stmt *ForRange, Stmt *Body);
StmtResult ActOnGotoStmt(SourceLocation GotoLoc,
SourceLocation LabelLoc,
LabelDecl *TheDecl);
StmtResult ActOnIndirectGotoStmt(SourceLocation GotoLoc,
SourceLocation StarLoc,
Expr *DestExp);
StmtResult ActOnContinueStmt(SourceLocation ContinueLoc, Scope *CurScope);
StmtResult ActOnBreakStmt(SourceLocation BreakLoc, Scope *CurScope);
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind, unsigned NumParams);
typedef std::pair<StringRef, QualType> CapturedParamNameType;
void ActOnCapturedRegionStart(SourceLocation Loc, Scope *CurScope,
CapturedRegionKind Kind,
ArrayRef<CapturedParamNameType> Params,
unsigned OpenMPCaptureLevel = 0);
StmtResult ActOnCapturedRegionEnd(Stmt *S);
void ActOnCapturedRegionError();
RecordDecl *CreateCapturedStmtRecordDecl(CapturedDecl *&CD,
SourceLocation Loc,
unsigned NumParams);
enum CopyElisionSemanticsKind {
CES_Strict = 0,
CES_AllowParameters = 1,
CES_AllowDifferentTypes = 2,
CES_AllowExceptionVariables = 4,
CES_FormerDefault = (CES_AllowParameters),
CES_Default = (CES_AllowParameters | CES_AllowDifferentTypes),
CES_AsIfByStdMove = (CES_AllowParameters | CES_AllowDifferentTypes |
CES_AllowExceptionVariables),
};
VarDecl *getCopyElisionCandidate(QualType ReturnType, Expr *E,
CopyElisionSemanticsKind CESK);
bool isCopyElisionCandidate(QualType ReturnType, const VarDecl *VD,
CopyElisionSemanticsKind CESK);
StmtResult ActOnReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp,
Scope *CurScope);
StmtResult BuildReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnCapScopeReturnStmt(SourceLocation ReturnLoc, Expr *RetValExp);
StmtResult ActOnGCCAsmStmt(SourceLocation AsmLoc, bool IsSimple,
bool IsVolatile, unsigned NumOutputs,
unsigned NumInputs, IdentifierInfo **Names,
MultiExprArg Constraints, MultiExprArg Exprs,
Expr *AsmString, MultiExprArg Clobbers,
unsigned NumLabels,
SourceLocation RParenLoc);
void FillInlineAsmIdentifierInfo(Expr *Res,
llvm::InlineAsmIdentifierInfo &Info);
ExprResult LookupInlineAsmIdentifier(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Id,
bool IsUnevaluatedContext);
bool LookupInlineAsmField(StringRef Base, StringRef Member,
unsigned &Offset, SourceLocation AsmLoc);
ExprResult LookupInlineAsmVarDeclField(Expr *RefExpr, StringRef Member,
SourceLocation AsmLoc);
StmtResult ActOnMSAsmStmt(SourceLocation AsmLoc, SourceLocation LBraceLoc,
ArrayRef<Token> AsmToks,
StringRef AsmString,
unsigned NumOutputs, unsigned NumInputs,
ArrayRef<StringRef> Constraints,
ArrayRef<StringRef> Clobbers,
ArrayRef<Expr*> Exprs,
SourceLocation EndLoc);
LabelDecl *GetOrCreateMSAsmLabel(StringRef ExternalLabelName,
SourceLocation Location,
bool AlwaysCreate);
VarDecl *BuildObjCExceptionDecl(TypeSourceInfo *TInfo, QualType ExceptionType,
SourceLocation StartLoc,
SourceLocation IdLoc, IdentifierInfo *Id,
bool Invalid = false);
Decl *ActOnObjCExceptionDecl(Scope *S, Declarator &D);
StmtResult ActOnObjCAtCatchStmt(SourceLocation AtLoc, SourceLocation RParen,
Decl *Parm, Stmt *Body);
StmtResult ActOnObjCAtFinallyStmt(SourceLocation AtLoc, Stmt *Body);
StmtResult ActOnObjCAtTryStmt(SourceLocation AtLoc, Stmt *Try,
MultiStmtArg Catch, Stmt *Finally);
StmtResult BuildObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw);
StmtResult ActOnObjCAtThrowStmt(SourceLocation AtLoc, Expr *Throw,
Scope *CurScope);
ExprResult ActOnObjCAtSynchronizedOperand(SourceLocation atLoc,
Expr *operand);
StmtResult ActOnObjCAtSynchronizedStmt(SourceLocation AtLoc,
Expr *SynchExpr,
Stmt *SynchBody);
StmtResult ActOnObjCAutoreleasePoolStmt(SourceLocation AtLoc, Stmt *Body);
VarDecl *BuildExceptionDeclaration(Scope *S, TypeSourceInfo *TInfo,
SourceLocation StartLoc,
SourceLocation IdLoc,
IdentifierInfo *Id);
Decl *ActOnExceptionDeclarator(Scope *S, Declarator &D);
StmtResult ActOnCXXCatchBlock(SourceLocation CatchLoc,
Decl *ExDecl, Stmt *HandlerBlock);
StmtResult ActOnCXXTryBlock(SourceLocation TryLoc, Stmt *TryBlock,
ArrayRef<Stmt *> Handlers);
StmtResult ActOnSEHTryBlock(bool IsCXXTry, // try (true) or __try (false) ?
SourceLocation TryLoc, Stmt *TryBlock,
Stmt *Handler);
StmtResult ActOnSEHExceptBlock(SourceLocation Loc,
Expr *FilterExpr,
Stmt *Block);
void ActOnStartSEHFinallyBlock();
void ActOnAbortSEHFinallyBlock();
StmtResult ActOnFinishSEHFinallyBlock(SourceLocation Loc, Stmt *Block);
StmtResult ActOnSEHLeaveStmt(SourceLocation Loc, Scope *CurScope);
void DiagnoseReturnInConstructorExceptionHandler(CXXTryStmt *TryBlock);
bool ShouldWarnIfUnusedFileScopedDecl(const DeclaratorDecl *D) const;
/// If it's a file scoped decl that must warn if not used, keep track
/// of it.
void MarkUnusedFileScopedDecl(const DeclaratorDecl *D);
/// DiagnoseUnusedExprResult - If the statement passed in is an expression
/// whose result is unused, warn.
void DiagnoseUnusedExprResult(const Stmt *S);
void DiagnoseUnusedNestedTypedefs(const RecordDecl *D);
void DiagnoseUnusedDecl(const NamedDecl *ND);
/// Emit \p DiagID if statement located on \p StmtLoc has a suspicious null
/// statement as a \p Body, and it is located on the same line.
///
/// This helps prevent bugs due to typos, such as:
/// if (condition);
/// do_stuff();
void DiagnoseEmptyStmtBody(SourceLocation StmtLoc,
const Stmt *Body,
unsigned DiagID);
/// Warn if a for/while loop statement \p S, which is followed by
/// \p PossibleBody, has a suspicious null statement as a body.
void DiagnoseEmptyLoopBody(const Stmt *S,
const Stmt *PossibleBody);
/// Warn if a value is moved to itself.
void DiagnoseSelfMove(const Expr *LHSExpr, const Expr *RHSExpr,
SourceLocation OpLoc);
/// Warn if we're implicitly casting from a _Nullable pointer type to a
/// _Nonnull one.
void diagnoseNullableToNonnullConversion(QualType DstType, QualType SrcType,
SourceLocation Loc);
/// Warn when implicitly casting 0 to nullptr.
void diagnoseZeroToNullptrConversion(CastKind Kind, const Expr *E);
ParsingDeclState PushParsingDeclaration(sema::DelayedDiagnosticPool &pool) {
return DelayedDiagnostics.push(pool);
}
void PopParsingDeclaration(ParsingDeclState state, Decl *decl);
typedef ProcessingContextState ParsingClassState;
ParsingClassState PushParsingClass() {
ParsingClassDepth++;
return DelayedDiagnostics.pushUndelayed();
}
void PopParsingClass(ParsingClassState state) {
ParsingClassDepth--;
DelayedDiagnostics.popUndelayed(state);
}
void redelayDiagnostics(sema::DelayedDiagnosticPool &pool);
void DiagnoseAvailabilityOfDecl(NamedDecl *D, ArrayRef<SourceLocation> Locs,
const ObjCInterfaceDecl *UnknownObjCClass,
bool ObjCPropertyAccess,
bool AvoidPartialAvailabilityChecks = false,
ObjCInterfaceDecl *ClassReceiver = nullptr);
bool makeUnavailableInSystemHeader(SourceLocation loc,
UnavailableAttr::ImplicitReason reason);
/// Issue any -Wunguarded-availability warnings in \c FD
void DiagnoseUnguardedAvailabilityViolations(Decl *FD);
void handleDelayedAvailabilityCheck(sema::DelayedDiagnostic &DD, Decl *Ctx);
//===--------------------------------------------------------------------===//
// Expression Parsing Callbacks: SemaExpr.cpp.
bool CanUseDecl(NamedDecl *D, bool TreatUnavailableAsInvalid);
bool DiagnoseUseOfDecl(NamedDecl *D, ArrayRef<SourceLocation> Locs,
const ObjCInterfaceDecl *UnknownObjCClass = nullptr,
bool ObjCPropertyAccess = false,
bool AvoidPartialAvailabilityChecks = false,
ObjCInterfaceDecl *ClassReciever = nullptr);
void NoteDeletedFunction(FunctionDecl *FD);
void NoteDeletedInheritingConstructor(CXXConstructorDecl *CD);
bool DiagnosePropertyAccessorMismatch(ObjCPropertyDecl *PD,
ObjCMethodDecl *Getter,
SourceLocation Loc);
void DiagnoseSentinelCalls(NamedDecl *D, SourceLocation Loc,
ArrayRef<Expr *> Args);
void PushExpressionEvaluationContext(
ExpressionEvaluationContext NewContext, Decl *LambdaContextDecl = nullptr,
ExpressionEvaluationContextRecord::ExpressionKind Type =
ExpressionEvaluationContextRecord::EK_Other);
enum ReuseLambdaContextDecl_t { ReuseLambdaContextDecl };
void PushExpressionEvaluationContext(
ExpressionEvaluationContext NewContext, ReuseLambdaContextDecl_t,
ExpressionEvaluationContextRecord::ExpressionKind Type =
ExpressionEvaluationContextRecord::EK_Other);
void PopExpressionEvaluationContext();
void DiscardCleanupsInEvaluationContext();
ExprResult TransformToPotentiallyEvaluated(Expr *E);
ExprResult HandleExprEvaluationContextForTypeof(Expr *E);
ExprResult CheckUnevaluatedOperand(Expr *E);
void CheckUnusedVolatileAssignment(Expr *E);
ExprResult ActOnConstantExpression(ExprResult Res);
// Functions for marking a declaration referenced. These functions also
// contain the relevant logic for marking if a reference to a function or
// variable is an odr-use (in the C++11 sense). There are separate variants
// for expressions referring to a decl; these exist because odr-use marking
// needs to be delayed for some constant variables when we build one of the
// named expressions.
//
// MightBeOdrUse indicates whether the use could possibly be an odr-use, and
// should usually be true. This only needs to be set to false if the lack of
// odr-use cannot be determined from the current context (for instance,
// because the name denotes a virtual function and was written without an
// explicit nested-name-specifier).
void MarkAnyDeclReferenced(SourceLocation Loc, Decl *D, bool MightBeOdrUse);
void MarkFunctionReferenced(SourceLocation Loc, FunctionDecl *Func,
bool MightBeOdrUse = true);
void MarkVariableReferenced(SourceLocation Loc, VarDecl *Var);
void MarkDeclRefReferenced(DeclRefExpr *E, const Expr *Base = nullptr);
void MarkMemberReferenced(MemberExpr *E);
void MarkFunctionParmPackReferenced(FunctionParmPackExpr *E);
void MarkCaptureUsedInEnclosingContext(VarDecl *Capture, SourceLocation Loc,
unsigned CapturingScopeIndex);
ExprResult CheckLValueToRValueConversionOperand(Expr *E);
void CleanupVarDeclMarking();
enum TryCaptureKind {
TryCapture_Implicit, TryCapture_ExplicitByVal, TryCapture_ExplicitByRef
};
/// Try to capture the given variable.
///
/// \param Var The variable to capture.
///
/// \param Loc The location at which the capture occurs.
///
/// \param Kind The kind of capture, which may be implicit (for either a
/// block or a lambda), or explicit by-value or by-reference (for a lambda).
///
/// \param EllipsisLoc The location of the ellipsis, if one is provided in
/// an explicit lambda capture.
///
/// \param BuildAndDiagnose Whether we are actually supposed to add the
/// captures or diagnose errors. If false, this routine merely check whether
/// the capture can occur without performing the capture itself or complaining
/// if the variable cannot be captured.
///
/// \param CaptureType Will be set to the type of the field used to capture
/// this variable in the innermost block or lambda. Only valid when the
/// variable can be captured.
///
/// \param DeclRefType Will be set to the type of a reference to the capture
/// from within the current scope. Only valid when the variable can be
/// captured.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// variables that may or may not be used in certain specializations of
/// a nested generic lambda.
///
/// \returns true if an error occurred (i.e., the variable cannot be
/// captured) and false if the capture succeeded.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc, TryCaptureKind Kind,
SourceLocation EllipsisLoc, bool BuildAndDiagnose,
QualType &CaptureType,
QualType &DeclRefType,
const unsigned *const FunctionScopeIndexToStopAt);
/// Try to capture the given variable.
bool tryCaptureVariable(VarDecl *Var, SourceLocation Loc,
TryCaptureKind Kind = TryCapture_Implicit,
SourceLocation EllipsisLoc = SourceLocation());
/// Checks if the variable must be captured.
bool NeedToCaptureVariable(VarDecl *Var, SourceLocation Loc);
/// Given a variable, determine the type that a reference to that
/// variable will have in the given scope.
QualType getCapturedDeclRefType(VarDecl *Var, SourceLocation Loc);
/// Mark all of the declarations referenced within a particular AST node as
/// referenced. Used when template instantiation instantiates a non-dependent
/// type -- entities referenced by the type are now referenced.
void MarkDeclarationsReferencedInType(SourceLocation Loc, QualType T);
void MarkDeclarationsReferencedInExpr(Expr *E,
bool SkipLocalVariables = false);
/// Try to recover by turning the given expression into a
/// call. Returns true if recovery was attempted or an error was
/// emitted; this may also leave the ExprResult invalid.
bool tryToRecoverWithCall(ExprResult &E, const PartialDiagnostic &PD,
bool ForceComplain = false,
bool (*IsPlausibleResult)(QualType) = nullptr);
/// Figure out if an expression could be turned into a call.
bool tryExprAsCall(Expr &E, QualType &ZeroArgCallReturnTy,
UnresolvedSetImpl &NonTemplateOverloads);
/// Try to convert an expression \p E to type \p Ty. Returns the result of the
/// conversion.
ExprResult tryConvertExprToType(Expr *E, QualType Ty);
/// 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);
/// Similar, but diagnostic is only produced if all the specified statements
/// are reachable.
bool DiagRuntimeBehavior(SourceLocation Loc, ArrayRef<const Stmt*> Stmts,
const PartialDiagnostic &PD);
// Primary Expressions.
SourceRange getExprRange(Expr *E) const;
ExprResult ActOnIdExpression(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
UnqualifiedId &Id, bool HasTrailingLParen, bool IsAddressOfOperand,
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,
CorrectionCandidateCallback &CCC,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr,
ArrayRef<Expr *> Args = None, TypoExpr **Out = nullptr);
DeclResult LookupIvarInObjCMethod(LookupResult &Lookup, Scope *S,
IdentifierInfo *II);
ExprResult BuildIvarRefExpr(Scope *S, SourceLocation Loc, ObjCIvarDecl *IV);
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);
/// If \p D cannot be odr-used in the current expression evaluation context,
/// return a reason explaining why. Otherwise, return NOUR_None.
NonOdrUseReason getNonOdrUseReasonInCurrentContext(ValueDecl *D);
DeclRefExpr *BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
SourceLocation Loc,
const CXXScopeSpec *SS = nullptr);
DeclRefExpr *
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
const CXXScopeSpec *SS = nullptr,
NamedDecl *FoundD = nullptr,
SourceLocation TemplateKWLoc = SourceLocation(),
const TemplateArgumentListInfo *TemplateArgs = nullptr);
DeclRefExpr *
BuildDeclRefExpr(ValueDecl *D, QualType Ty, ExprValueKind VK,
const DeclarationNameInfo &NameInfo,
NestedNameSpecifierLoc NNS,
NamedDecl *FoundD = nullptr,
SourceLocation TemplateKWLoc = SourceLocation(),
const TemplateArgumentListInfo *TemplateArgs = nullptr);
ExprResult
BuildAnonymousStructUnionMemberReference(
const CXXScopeSpec &SS,
SourceLocation nameLoc,
IndirectFieldDecl *indirectField,
DeclAccessPair FoundDecl = DeclAccessPair::make(nullptr, AS_none),
Expr *baseObjectExpr = nullptr,
SourceLocation opLoc = SourceLocation());
ExprResult BuildPossibleImplicitMemberExpr(
const CXXScopeSpec &SS, SourceLocation TemplateKWLoc, LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs, const Scope *S,
UnresolvedLookupExpr *AsULE = nullptr);
ExprResult BuildImplicitMemberExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
bool IsDefiniteInstance,
const Scope *S);
bool UseArgumentDependentLookup(const CXXScopeSpec &SS,
const LookupResult &R,
bool HasTrailingLParen);
ExprResult
BuildQualifiedDeclarationNameExpr(CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
bool IsAddressOfOperand, const Scope *S,
TypeSourceInfo **RecoveryTSI = nullptr);
ExprResult BuildDependentDeclRefExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildDeclarationNameExpr(const CXXScopeSpec &SS,
LookupResult &R,
bool NeedsADL,
bool AcceptInvalidDecl = false);
ExprResult BuildDeclarationNameExpr(
const CXXScopeSpec &SS, const DeclarationNameInfo &NameInfo, NamedDecl *D,
NamedDecl *FoundD = nullptr,
const TemplateArgumentListInfo *TemplateArgs = nullptr,
bool AcceptInvalidDecl = false);
ExprResult BuildLiteralOperatorCall(LookupResult &R,
DeclarationNameInfo &SuffixInfo,
ArrayRef<Expr *> Args,
SourceLocation LitEndLoc,
TemplateArgumentListInfo *ExplicitTemplateArgs = nullptr);
ExprResult BuildPredefinedExpr(SourceLocation Loc,
PredefinedExpr::IdentKind IK);
ExprResult ActOnPredefinedExpr(SourceLocation Loc, tok::TokenKind Kind);
ExprResult ActOnIntegerConstant(SourceLocation Loc, uint64_t Val);
ExprResult BuildUniqueStableName(SourceLocation Loc, TypeSourceInfo *Operand);
ExprResult BuildUniqueStableName(SourceLocation Loc, Expr *E);
ExprResult ActOnUniqueStableNameExpr(SourceLocation OpLoc,
SourceLocation LParen,
SourceLocation RParen, ParsedType Ty);
ExprResult ActOnUniqueStableNameExpr(SourceLocation OpLoc,
SourceLocation LParen,
SourceLocation RParen, Expr *E);
bool CheckLoopHintExpr(Expr *E, SourceLocation Loc);
ExprResult ActOnNumericConstant(const Token &Tok, Scope *UDLScope = nullptr);
ExprResult ActOnCharacterConstant(const Token &Tok,
Scope *UDLScope = nullptr);
ExprResult ActOnParenExpr(SourceLocation L, SourceLocation R, Expr *E);
ExprResult ActOnParenListExpr(SourceLocation L,
SourceLocation R,
MultiExprArg Val);
/// ActOnStringLiteral - The specified tokens were lexed as pasted string
/// fragments (e.g. "foo" "bar" L"baz").
ExprResult ActOnStringLiteral(ArrayRef<Token> StringToks,
Scope *UDLScope = nullptr);
ExprResult ActOnGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<ParsedType> ArgTypes,
ArrayRef<Expr *> ArgExprs);
ExprResult CreateGenericSelectionExpr(SourceLocation KeyLoc,
SourceLocation DefaultLoc,
SourceLocation RParenLoc,
Expr *ControllingExpr,
ArrayRef<TypeSourceInfo *> Types,
ArrayRef<Expr *> Exprs);
// Binary/Unary Operators. 'Tok' is the token for the operator.
ExprResult CreateBuiltinUnaryOp(SourceLocation OpLoc, UnaryOperatorKind Opc,
Expr *InputExpr);
ExprResult BuildUnaryOp(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opc, Expr *Input);
ExprResult ActOnUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Op, Expr *Input);
bool isQualifiedMemberAccess(Expr *E);
QualType CheckAddressOfOperand(ExprResult &Operand, SourceLocation OpLoc);
ExprResult CreateUnaryExprOrTypeTraitExpr(TypeSourceInfo *TInfo,
SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
SourceRange R);
ExprResult CreateUnaryExprOrTypeTraitExpr(Expr *E, SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind);
ExprResult
ActOnUnaryExprOrTypeTraitExpr(SourceLocation OpLoc,
UnaryExprOrTypeTrait ExprKind,
bool IsType, void *TyOrEx,
SourceRange ArgRange);
ExprResult CheckPlaceholderExpr(Expr *E);
bool CheckVecStepExpr(Expr *E);
bool CheckUnaryExprOrTypeTraitOperand(Expr *E, UnaryExprOrTypeTrait ExprKind);
bool CheckUnaryExprOrTypeTraitOperand(QualType ExprType, SourceLocation OpLoc,
SourceRange ExprRange,
UnaryExprOrTypeTrait ExprKind);
ExprResult ActOnSizeofParameterPackExpr(Scope *S,
SourceLocation OpLoc,
IdentifierInfo &Name,
SourceLocation NameLoc,
SourceLocation RParenLoc);
ExprResult ActOnPostfixUnaryOp(Scope *S, SourceLocation OpLoc,
tok::TokenKind Kind, Expr *Input);
ExprResult ActOnArraySubscriptExpr(Scope *S, Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult CreateBuiltinArraySubscriptExpr(Expr *Base, SourceLocation LLoc,
Expr *Idx, SourceLocation RLoc);
ExprResult CreateBuiltinMatrixSubscriptExpr(Expr *Base, Expr *RowIdx,
Expr *ColumnIdx,
SourceLocation RBLoc);
ExprResult ActOnOMPArraySectionExpr(Expr *Base, SourceLocation LBLoc,
Expr *LowerBound,
SourceLocation ColonLocFirst,
SourceLocation ColonLocSecond,
Expr *Length, Expr *Stride,
SourceLocation RBLoc);
ExprResult ActOnOMPArrayShapingExpr(Expr *Base, SourceLocation LParenLoc,
SourceLocation RParenLoc,
ArrayRef<Expr *> Dims,
ArrayRef<SourceRange> Brackets);
/// Data structure for iterator expression.
struct OMPIteratorData {
IdentifierInfo *DeclIdent = nullptr;
SourceLocation DeclIdentLoc;
ParsedType Type;
OMPIteratorExpr::IteratorRange Range;
SourceLocation AssignLoc;
SourceLocation ColonLoc;
SourceLocation SecColonLoc;
};
ExprResult ActOnOMPIteratorExpr(Scope *S, SourceLocation IteratorKwLoc,
SourceLocation LLoc, SourceLocation RLoc,
ArrayRef<OMPIteratorData> Data);
// This struct is for use by ActOnMemberAccess to allow
// BuildMemberReferenceExpr to be able to reinvoke ActOnMemberAccess after
// changing the access operator from a '.' to a '->' (to see if that is the
// change needed to fix an error about an unknown member, e.g. when the class
// defines a custom operator->).
struct ActOnMemberAccessExtraArgs {
Scope *S;
UnqualifiedId &Id;
Decl *ObjCImpDecl;
};
ExprResult BuildMemberReferenceExpr(
Expr *Base, QualType BaseType, SourceLocation OpLoc, bool IsArrow,
CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult
BuildMemberReferenceExpr(Expr *Base, QualType BaseType, SourceLocation OpLoc,
bool IsArrow, const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope, LookupResult &R,
const TemplateArgumentListInfo *TemplateArgs,
const Scope *S,
bool SuppressQualifierCheck = false,
ActOnMemberAccessExtraArgs *ExtraArgs = nullptr);
ExprResult BuildFieldReferenceExpr(Expr *BaseExpr, bool IsArrow,
SourceLocation OpLoc,
const CXXScopeSpec &SS, FieldDecl *Field,
DeclAccessPair FoundDecl,
const DeclarationNameInfo &MemberNameInfo);
ExprResult PerformMemberExprBaseConversion(Expr *Base, bool IsArrow);
bool CheckQualifiedMemberReference(Expr *BaseExpr, QualType BaseType,
const CXXScopeSpec &SS,
const LookupResult &R);
ExprResult ActOnDependentMemberExpr(Expr *Base, QualType BaseType,
bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
NamedDecl *FirstQualifierInScope,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult ActOnMemberAccessExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
UnqualifiedId &Member,
Decl *ObjCImpDecl);
MemberExpr *
BuildMemberExpr(Expr *Base, bool IsArrow, SourceLocation OpLoc,
const CXXScopeSpec *SS, SourceLocation TemplateKWLoc,
ValueDecl *Member, DeclAccessPair FoundDecl,
bool HadMultipleCandidates,
const DeclarationNameInfo &MemberNameInfo, QualType Ty,
ExprValueKind VK, ExprObjectKind OK,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
MemberExpr *
BuildMemberExpr(Expr *Base, bool IsArrow, SourceLocation OpLoc,
NestedNameSpecifierLoc NNS, SourceLocation TemplateKWLoc,
ValueDecl *Member, DeclAccessPair FoundDecl,
bool HadMultipleCandidates,
const DeclarationNameInfo &MemberNameInfo, QualType Ty,
ExprValueKind VK, ExprObjectKind OK,
const TemplateArgumentListInfo *TemplateArgs = nullptr);
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);
ExprResult BuildCallExpr(Scope *S, Expr *Fn, SourceLocation LParenLoc,
MultiExprArg ArgExprs, SourceLocation RParenLoc,
Expr *ExecConfig = nullptr,
bool IsExecConfig = false);
enum class AtomicArgumentOrder { API, AST };
ExprResult
BuildAtomicExpr(SourceRange CallRange, SourceRange ExprRange,
SourceLocation RParenLoc, MultiExprArg Args,
AtomicExpr::AtomicOp Op,
AtomicArgumentOrder ArgOrder = AtomicArgumentOrder::API);
ExprResult
BuildResolvedCallExpr(Expr *Fn, NamedDecl *NDecl, SourceLocation LParenLoc,
ArrayRef<Expr *> Arg, SourceLocation RParenLoc,
Expr *Config = nullptr, bool IsExecConfig = false,
ADLCallKind UsesADL = ADLCallKind::NotADL);
ExprResult ActOnCUDAExecConfigExpr(Scope *S, SourceLocation LLLLoc,
MultiExprArg ExecConfig,
SourceLocation GGGLoc);
ExprResult ActOnCastExpr(Scope *S, SourceLocation LParenLoc,
Declarator &D, ParsedType &Ty,
SourceLocation RParenLoc, Expr *CastExpr);
ExprResult BuildCStyleCastExpr(SourceLocation LParenLoc,
TypeSourceInfo *Ty,
SourceLocation RParenLoc,
Expr *Op);
CastKind PrepareScalarCast(ExprResult &src, QualType destType);
/// Build an altivec or OpenCL literal.
ExprResult BuildVectorLiteral(SourceLocation LParenLoc,
SourceLocation RParenLoc, Expr *E,
TypeSourceInfo *TInfo);
ExprResult MaybeConvertParenListExprToParenExpr(Scope *S, Expr *ME);
ExprResult ActOnCompoundLiteral(SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc,
Expr *InitExpr);
ExprResult BuildCompoundLiteralExpr(SourceLocation LParenLoc,
TypeSourceInfo *TInfo,
SourceLocation RParenLoc,
Expr *LiteralExpr);
ExprResult ActOnInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult BuildInitList(SourceLocation LBraceLoc,
MultiExprArg InitArgList,
SourceLocation RBraceLoc);
ExprResult ActOnDesignatedInitializer(Designation &Desig,
SourceLocation EqualOrColonLoc,
bool GNUSyntax,
ExprResult Init);
private:
static BinaryOperatorKind ConvertTokenKindToBinaryOpcode(tok::TokenKind Kind);
public:
ExprResult ActOnBinOp(Scope *S, SourceLocation TokLoc,
tok::TokenKind Kind, Expr *LHSExpr, Expr *RHSExpr);
ExprResult BuildBinOp(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opc, Expr *LHSExpr, Expr *RHSExpr);
ExprResult CreateBuiltinBinOp(SourceLocation OpLoc, BinaryOperatorKind Opc,
Expr *LHSExpr, Expr *RHSExpr);
void LookupBinOp(Scope *S, SourceLocation OpLoc, BinaryOperatorKind Opc,
UnresolvedSetImpl &Functions);
void DiagnoseCommaOperator(const Expr *LHS, SourceLocation Loc);
/// ActOnConditionalOp - Parse a ?: operation. Note that 'LHS' may be null
/// in the case of a the GNU conditional expr extension.
ExprResult ActOnConditionalOp(SourceLocation QuestionLoc,
SourceLocation ColonLoc,
Expr *CondExpr, Expr *LHSExpr, Expr *RHSExpr);
/// ActOnAddrLabel - Parse the GNU address of label extension: "&&foo".
ExprResult ActOnAddrLabel(SourceLocation OpLoc, SourceLocation LabLoc,
LabelDecl *TheDecl);
void ActOnStartStmtExpr();
ExprResult ActOnStmtExpr(Scope *S, SourceLocation LPLoc, Stmt *SubStmt,
SourceLocation RPLoc);
ExprResult BuildStmtExpr(SourceLocation LPLoc, Stmt *SubStmt,
SourceLocation RPLoc, unsigned TemplateDepth);
// Handle the final expression in a statement expression.
ExprResult ActOnStmtExprResult(ExprResult E);
void ActOnStmtExprError();
// __builtin_offsetof(type, identifier(.identifier|[expr])*)
struct OffsetOfComponent {
SourceLocation LocStart, LocEnd;
bool isBrackets; // true if [expr], false if .ident
union {
IdentifierInfo *IdentInfo;
Expr *E;
} U;
};
/// __builtin_offsetof(type, a.b[123][456].c)
ExprResult BuildBuiltinOffsetOf(SourceLocation BuiltinLoc,
TypeSourceInfo *TInfo,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
ExprResult ActOnBuiltinOffsetOf(Scope *S,
SourceLocation BuiltinLoc,
SourceLocation TypeLoc,
ParsedType ParsedArgTy,
ArrayRef<OffsetOfComponent> Components,
SourceLocation RParenLoc);
// __builtin_choose_expr(constExpr, expr1, expr2)
ExprResult ActOnChooseExpr(SourceLocation BuiltinLoc,
Expr *CondExpr, Expr *LHSExpr,
Expr *RHSExpr, SourceLocation RPLoc);
// __builtin_va_arg(expr, type)
ExprResult ActOnVAArg(SourceLocation BuiltinLoc, Expr *E, ParsedType Ty,
SourceLocation RPLoc);
ExprResult BuildVAArgExpr(SourceLocation BuiltinLoc, Expr *E,
TypeSourceInfo *TInfo, SourceLocation RPLoc);
// __builtin_LINE(), __builtin_FUNCTION(), __builtin_FILE(),
// __builtin_COLUMN()
ExprResult ActOnSourceLocExpr(SourceLocExpr::IdentKind Kind,
SourceLocation BuiltinLoc,
SourceLocation RPLoc);
// Build a potentially resolved SourceLocExpr.
ExprResult BuildSourceLocExpr(SourceLocExpr::IdentKind Kind,
SourceLocation BuiltinLoc, SourceLocation RPLoc,
DeclContext *ParentContext);
// __null
ExprResult ActOnGNUNullExpr(SourceLocation TokenLoc);
bool CheckCaseExpression(Expr *E);
/// Describes the result of an "if-exists" condition check.
enum IfExistsResult {
/// The symbol exists.
IER_Exists,
/// The symbol does not exist.
IER_DoesNotExist,
/// The name is a dependent name, so the results will differ
/// from one instantiation to the next.
IER_Dependent,
/// An error occurred.
IER_Error
};
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, CXXScopeSpec &SS,
const DeclarationNameInfo &TargetNameInfo);
IfExistsResult
CheckMicrosoftIfExistsSymbol(Scope *S, SourceLocation KeywordLoc,
bool IsIfExists, CXXScopeSpec &SS,
UnqualifiedId &Name);
StmtResult BuildMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
NestedNameSpecifierLoc QualifierLoc,
DeclarationNameInfo NameInfo,
Stmt *Nested);
StmtResult ActOnMSDependentExistsStmt(SourceLocation KeywordLoc,
bool IsIfExists,
CXXScopeSpec &SS, UnqualifiedId &Name,
Stmt *Nested);
//===------------------------- "Block" Extension ------------------------===//
/// ActOnBlockStart - This callback is invoked when a block literal is
/// started.
void ActOnBlockStart(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockArguments - This callback allows processing of block arguments.
/// If there are no arguments, this is still invoked.
void ActOnBlockArguments(SourceLocation CaretLoc, Declarator &ParamInfo,
Scope *CurScope);
/// ActOnBlockError - If there is an error parsing a block, this callback
/// is invoked to pop the information about the block from the action impl.
void ActOnBlockError(SourceLocation CaretLoc, Scope *CurScope);
/// ActOnBlockStmtExpr - This is called when the body of a block statement
/// literal was successfully completed. ^(int x){...}
ExprResult ActOnBlockStmtExpr(SourceLocation CaretLoc, Stmt *Body,
Scope *CurScope);
//===---------------------------- Clang Extensions ----------------------===//
/// __builtin_convertvector(...)
ExprResult ActOnConvertVectorExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- OpenCL Features -----------------------===//
/// __builtin_astype(...)
ExprResult ActOnAsTypeExpr(Expr *E, ParsedType ParsedDestTy,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
//===---------------------------- C++ Features --------------------------===//
// Act on C++ namespaces
Decl *ActOnStartNamespaceDef(Scope *S, SourceLocation InlineLoc,
SourceLocation NamespaceLoc,
SourceLocation IdentLoc, IdentifierInfo *Ident,
SourceLocation LBrace,
const ParsedAttributesView &AttrList,
UsingDirectiveDecl *&UsingDecl);
void ActOnFinishNamespaceDef(Decl *Dcl, SourceLocation RBrace);
NamespaceDecl *getStdNamespace() const;
NamespaceDecl *getOrCreateStdNamespace();
NamespaceDecl *lookupStdExperimentalNamespace();
CXXRecordDecl *getStdBadAlloc() const;
EnumDecl *getStdAlignValT() const;
private:
// A cache representing if we've fully checked the various comparison category
// types stored in ASTContext. The bit-index corresponds to the integer value
// of a ComparisonCategoryType enumerator.
llvm::SmallBitVector FullyCheckedComparisonCategories;
ValueDecl *tryLookupCtorInitMemberDecl(CXXRecordDecl *ClassDecl,
CXXScopeSpec &SS,
ParsedType TemplateTypeTy,
IdentifierInfo *MemberOrBase);
public:
enum class ComparisonCategoryUsage {
/// The '<=>' operator was used in an expression and a builtin operator
/// was selected.
OperatorInExpression,
/// A defaulted 'operator<=>' needed the comparison category. This
/// typically only applies to 'std::strong_ordering', due to the implicit
/// fallback return value.
DefaultedOperator,
};
/// Lookup the specified comparison category types in the standard
/// library, an check the VarDecls possibly returned by the operator<=>
/// builtins for that type.
///
/// \return The type of the comparison category type corresponding to the
/// specified Kind, or a null type if an error occurs
QualType CheckComparisonCategoryType(ComparisonCategoryType Kind,
SourceLocation Loc,
ComparisonCategoryUsage Usage);
/// Tests whether Ty is an instance of std::initializer_list and, if
/// it is and Element is not NULL, assigns the element type to Element.
bool isStdInitializerList(QualType Ty, QualType *Element);
/// Looks for the std::initializer_list template and instantiates it
/// with Element, or emits an error if it's not found.
///
/// \returns The instantiated template, or null on error.
QualType BuildStdInitializerList(QualType Element, SourceLocation Loc);
/// Determine whether Ctor is an initializer-list constructor, as
/// defined in [dcl.init.list]p2.
bool isInitListConstructor(const FunctionDecl *Ctor);
Decl *ActOnUsingDirective(Scope *CurScope, SourceLocation UsingLoc,
SourceLocation NamespcLoc, CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *NamespcName,
const ParsedAttributesView &AttrList);
void PushUsingDirective(Scope *S, UsingDirectiveDecl *UDir);
Decl *ActOnNamespaceAliasDef(Scope *CurScope,
SourceLocation NamespaceLoc,
SourceLocation AliasLoc,
IdentifierInfo *Alias,
CXXScopeSpec &SS,
SourceLocation IdentLoc,
IdentifierInfo *Ident);
void HideUsingShadowDecl(Scope *S, UsingShadowDecl *Shadow);
bool CheckUsingShadowDecl(UsingDecl *UD, NamedDecl *Target,
const LookupResult &PreviousDecls,
UsingShadowDecl *&PrevShadow);
UsingShadowDecl *BuildUsingShadowDecl(Scope *S, UsingDecl *UD,
NamedDecl *Target,
UsingShadowDecl *PrevDecl);
bool CheckUsingDeclRedeclaration(SourceLocation UsingLoc,
bool HasTypenameKeyword,
const CXXScopeSpec &SS,
SourceLocation NameLoc,
const LookupResult &Previous);
bool CheckUsingDeclQualifier(SourceLocation UsingLoc,
bool HasTypename,
const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
SourceLocation NameLoc);
NamedDecl *BuildUsingDeclaration(
Scope *S, AccessSpecifier AS, SourceLocation UsingLoc,
bool HasTypenameKeyword, SourceLocation TypenameLoc, CXXScopeSpec &SS,
DeclarationNameInfo NameInfo, SourceLocation EllipsisLoc,
const ParsedAttributesView &AttrList, bool IsInstantiation);
NamedDecl *BuildUsingPackDecl(NamedDecl *InstantiatedFrom,
ArrayRef<NamedDecl *> Expansions);
bool CheckInheritingConstructorUsingDecl(UsingDecl *UD);
/// Given a derived-class using shadow declaration for a constructor and the
/// correspnding base class constructor, find or create the implicit
/// synthesized derived class constructor to use for this initialization.
CXXConstructorDecl *
findInheritingConstructor(SourceLocation Loc, CXXConstructorDecl *BaseCtor,
ConstructorUsingShadowDecl *DerivedShadow);
Decl *ActOnUsingDeclaration(Scope *CurScope, AccessSpecifier AS,
SourceLocation UsingLoc,
SourceLocation TypenameLoc, CXXScopeSpec &SS,
UnqualifiedId &Name, SourceLocation EllipsisLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnAliasDeclaration(Scope *CurScope, AccessSpecifier AS,
MultiTemplateParamsArg TemplateParams,
SourceLocation UsingLoc, UnqualifiedId &Name,
const ParsedAttributesView &AttrList,
TypeResult Type, Decl *DeclFromDeclSpec);
/// BuildCXXConstructExpr - Creates a complete call to a constructor,
/// including handling of its default argument expressions.
///
/// \param ConstructKind - a CXXConstructExpr::ConstructionKind
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
/// Build a CXXConstructExpr whose constructor has already been resolved if
/// it denotes an inherited constructor.
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs,
bool HadMultipleCandidates, bool IsListInitialization,
bool IsStdInitListInitialization,
bool RequiresZeroInit, unsigned ConstructKind,
SourceRange ParenRange);
// FIXME: Can we remove this and have the above BuildCXXConstructExpr check if
// the constructor can be elidable?
ExprResult
BuildCXXConstructExpr(SourceLocation ConstructLoc, QualType DeclInitType,
NamedDecl *FoundDecl,
CXXConstructorDecl *Constructor, bool Elidable,
MultiExprArg Exprs, bool HadMultipleCandidates,
bool IsListInitialization,
bool IsStdInitListInitialization, bool RequiresZeroInit,
unsigned ConstructKind, SourceRange ParenRange);
ExprResult BuildCXXDefaultInitExpr(SourceLocation Loc, FieldDecl *Field);
/// Instantiate or parse a C++ default argument expression as necessary.
/// Return true on error.
bool CheckCXXDefaultArgExpr(SourceLocation CallLoc, FunctionDecl *FD,
ParmVarDecl *Param);
/// BuildCXXDefaultArgExpr - Creates a CXXDefaultArgExpr, instantiating
/// the default expr if needed.
ExprResult BuildCXXDefaultArgExpr(SourceLocation CallLoc,
FunctionDecl *FD,
ParmVarDecl *Param);
/// FinalizeVarWithDestructor - Prepare for calling destructor on the
/// constructed variable.
void FinalizeVarWithDestructor(VarDecl *VD, const RecordType *DeclInitType);
/// Helper class that collects exception specifications for
/// implicitly-declared special member functions.
class ImplicitExceptionSpecification {
// Pointer to allow copying
Sema *Self;
// We order exception specifications thus:
// noexcept is the most restrictive, but is only used in C++11.
// throw() comes next.
// Then a throw(collected exceptions)
// Finally no specification, which is expressed as noexcept(false).
// throw(...) is used instead if any called function uses it.
ExceptionSpecificationType ComputedEST;
llvm::SmallPtrSet<CanQualType, 4> ExceptionsSeen;
SmallVector<QualType, 4> Exceptions;
void ClearExceptions() {
ExceptionsSeen.clear();
Exceptions.clear();
}
public:
explicit ImplicitExceptionSpecification(Sema &Self)
: Self(&Self), ComputedEST(EST_BasicNoexcept) {
if (!Self.getLangOpts().CPlusPlus11)
ComputedEST = EST_DynamicNone;
}
/// Get the computed exception specification type.
ExceptionSpecificationType getExceptionSpecType() const {
assert(!isComputedNoexcept(ComputedEST) &&
"noexcept(expr) should not be a possible result");
return ComputedEST;
}
/// The number of exceptions in the exception specification.
unsigned size() const { return Exceptions.size(); }
/// The set of exceptions in the exception specification.
const QualType *data() const { return Exceptions.data(); }
/// Integrate another called method into the collected data.
void CalledDecl(SourceLocation CallLoc, const CXXMethodDecl *Method);
/// Integrate an invoked expression into the collected data.
void CalledExpr(Expr *E) { CalledStmt(E); }
/// Integrate an invoked statement into the collected data.
void CalledStmt(Stmt *S);
/// Overwrite an EPI's exception specification with this
/// computed exception specification.
FunctionProtoType::ExceptionSpecInfo getExceptionSpec() const {
FunctionProtoType::ExceptionSpecInfo ESI;
ESI.Type = getExceptionSpecType();
if (ESI.Type == EST_Dynamic) {
ESI.Exceptions = Exceptions;
} else if (ESI.Type == EST_None) {
/// C++11 [except.spec]p14:
/// The exception-specification is noexcept(false) if the set of
/// potential exceptions of the special member function contains "any"
ESI.Type = EST_NoexceptFalse;
ESI.NoexceptExpr = Self->ActOnCXXBoolLiteral(SourceLocation(),
tok::kw_false).get();
}
return ESI;
}
};
/// Determine what sort of exception specification a defaulted
/// copy constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDefaultCtorExceptionSpec(SourceLocation Loc,
CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// default constructor of a class will have, and whether the parameter
/// will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyCtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// copy assignment operator of a class will have, and whether the
/// parameter will be const.
ImplicitExceptionSpecification
ComputeDefaultedCopyAssignmentExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted move
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveCtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted move
/// assignment operator of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedMoveAssignmentExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification a defaulted
/// destructor of a class will have.
ImplicitExceptionSpecification
ComputeDefaultedDtorExceptionSpec(CXXMethodDecl *MD);
/// Determine what sort of exception specification an inheriting
/// constructor of a class will have.
ImplicitExceptionSpecification
ComputeInheritingCtorExceptionSpec(SourceLocation Loc,
CXXConstructorDecl *CD);
/// Evaluate the implicit exception specification for a defaulted
/// special member function.
void EvaluateImplicitExceptionSpec(SourceLocation Loc, FunctionDecl *FD);
/// Check the given noexcept-specifier, convert its expression, and compute
/// the appropriate ExceptionSpecificationType.
ExprResult ActOnNoexceptSpec(SourceLocation NoexceptLoc, Expr *NoexceptExpr,
ExceptionSpecificationType &EST);
/// Check the given exception-specification and update the
/// exception specification information with the results.
void checkExceptionSpecification(bool IsTopLevel,
ExceptionSpecificationType EST,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr,
SmallVectorImpl<QualType> &Exceptions,
FunctionProtoType::ExceptionSpecInfo &ESI);
/// Determine if we're in a case where we need to (incorrectly) eagerly
/// parse an exception specification to work around a libstdc++ bug.
bool isLibstdcxxEagerExceptionSpecHack(const Declarator &D);
/// Add an exception-specification to the given member function
/// (or member function template). The exception-specification was parsed
/// after the method itself was declared.
void actOnDelayedExceptionSpecification(Decl *Method,
ExceptionSpecificationType EST,
SourceRange SpecificationRange,
ArrayRef<ParsedType> DynamicExceptions,
ArrayRef<SourceRange> DynamicExceptionRanges,
Expr *NoexceptExpr);
class InheritedConstructorInfo;
/// Determine if a special member function should have a deleted
/// definition when it is defaulted.
bool ShouldDeleteSpecialMember(CXXMethodDecl *MD, CXXSpecialMember CSM,
InheritedConstructorInfo *ICI = nullptr,
bool Diagnose = false);
/// Produce notes explaining why a defaulted function was defined as deleted.
void DiagnoseDeletedDefaultedFunction(FunctionDecl *FD);
/// Declare the implicit default constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// default constructor will be added.
///
/// \returns The implicitly-declared default constructor.
CXXConstructorDecl *DeclareImplicitDefaultConstructor(
CXXRecordDecl *ClassDecl);
/// DefineImplicitDefaultConstructor - Checks for feasibility of
/// defining this constructor as the default constructor.
void DefineImplicitDefaultConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit destructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// destructor will be added.
///
/// \returns The implicitly-declared destructor.
CXXDestructorDecl *DeclareImplicitDestructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitDestructor - Checks for feasibility of
/// defining this destructor as the default destructor.
void DefineImplicitDestructor(SourceLocation CurrentLocation,
CXXDestructorDecl *Destructor);
/// Build an exception spec for destructors that don't have one.
///
/// C++11 says that user-defined destructors with no exception spec get one
/// that looks as if the destructor was implicitly declared.
void AdjustDestructorExceptionSpec(CXXDestructorDecl *Destructor);
/// Define the specified inheriting constructor.
void DefineInheritingConstructor(SourceLocation UseLoc,
CXXConstructorDecl *Constructor);
/// Declare the implicit copy constructor for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy constructor will be added.
///
/// \returns The implicitly-declared copy constructor.
CXXConstructorDecl *DeclareImplicitCopyConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitCopyConstructor - Checks for feasibility of
/// defining this constructor as the copy constructor.
void DefineImplicitCopyConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit move constructor for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move constructor will be added.
///
/// \returns The implicitly-declared move constructor, or NULL if it wasn't
/// declared.
CXXConstructorDecl *DeclareImplicitMoveConstructor(CXXRecordDecl *ClassDecl);
/// DefineImplicitMoveConstructor - Checks for feasibility of
/// defining this constructor as the move constructor.
void DefineImplicitMoveConstructor(SourceLocation CurrentLocation,
CXXConstructorDecl *Constructor);
/// Declare the implicit copy assignment operator for the given class.
///
/// \param ClassDecl The class declaration into which the implicit
/// copy assignment operator will be added.
///
/// \returns The implicitly-declared copy assignment operator.
CXXMethodDecl *DeclareImplicitCopyAssignment(CXXRecordDecl *ClassDecl);
/// Defines an implicitly-declared copy assignment operator.
void DefineImplicitCopyAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// Declare the implicit move assignment operator for the given class.
///
/// \param ClassDecl The Class declaration into which the implicit
/// move assignment operator will be added.
///
/// \returns The implicitly-declared move assignment operator, or NULL if it
/// wasn't declared.
CXXMethodDecl *DeclareImplicitMoveAssignment(CXXRecordDecl *ClassDecl);
/// Defines an implicitly-declared move assignment operator.
void DefineImplicitMoveAssignment(SourceLocation CurrentLocation,
CXXMethodDecl *MethodDecl);
/// Force the declaration of any implicitly-declared members of this
/// class.
void ForceDeclarationOfImplicitMembers(CXXRecordDecl *Class);
/// Check a completed declaration of an implicit special member.
void CheckImplicitSpecialMemberDeclaration(Scope *S, FunctionDecl *FD);
/// Determine whether the given function is an implicitly-deleted
/// special member function.
bool isImplicitlyDeleted(FunctionDecl *FD);
/// Check whether 'this' shows up in the type of a static member
/// function after the (naturally empty) cv-qualifier-seq would be.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionType(CXXMethodDecl *Method);
/// Whether this' shows up in the exception specification of a static
/// member function.
bool checkThisInStaticMemberFunctionExceptionSpec(CXXMethodDecl *Method);
/// Check whether 'this' shows up in the attributes of the given
/// static member function.
///
/// \returns true if an error occurred.
bool checkThisInStaticMemberFunctionAttributes(CXXMethodDecl *Method);
/// MaybeBindToTemporary - If the passed in expression has a record type with
/// a non-trivial destructor, this will return CXXBindTemporaryExpr. Otherwise
/// it simply returns the passed in expression.
ExprResult MaybeBindToTemporary(Expr *E);
/// Wrap the expression in a ConstantExpr if it is a potential immediate
/// invocation.
ExprResult CheckForImmediateInvocation(ExprResult E, FunctionDecl *Decl);
bool CompleteConstructorCall(CXXConstructorDecl *Constructor,
MultiExprArg ArgsPtr,
SourceLocation Loc,
SmallVectorImpl<Expr*> &ConvertedArgs,
bool AllowExplicit = false,
bool IsListInitialization = false);
ParsedType getInheritingConstructorName(CXXScopeSpec &SS,
SourceLocation NameLoc,
IdentifierInfo &Name);
ParsedType getConstructorName(IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
bool EnteringContext);
ParsedType getDestructorName(SourceLocation TildeLoc,
IdentifierInfo &II, SourceLocation NameLoc,
Scope *S, CXXScopeSpec &SS,
ParsedType ObjectType,
bool EnteringContext);
ParsedType getDestructorTypeForDecltype(const DeclSpec &DS,
ParsedType ObjectType);
// Checks that reinterpret casts don't have undefined behavior.
void CheckCompatibleReinterpretCast(QualType SrcType, QualType DestType,
bool IsDereference, SourceRange Range);
/// ActOnCXXNamedCast - Parse
/// {dynamic,static,reinterpret,const,addrspace}_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 ActOnBuiltinBitCastExpr(SourceLocation KWLoc, Declarator &Dcl,
ExprResult Operand,
SourceLocation RParenLoc);
ExprResult BuildBuiltinBitCastExpr(SourceLocation KWLoc, TypeSourceInfo *TSI,
Expr *Operand, SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXTypeId(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXTypeid - Parse typeid( something ).
ExprResult ActOnCXXTypeid(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
TypeSourceInfo *Operand,
SourceLocation RParenLoc);
ExprResult BuildCXXUuidof(QualType TypeInfoType,
SourceLocation TypeidLoc,
Expr *Operand,
SourceLocation RParenLoc);
/// ActOnCXXUuidof - Parse __uuidof( something ).
ExprResult ActOnCXXUuidof(SourceLocation OpLoc,
SourceLocation LParenLoc, bool isType,
void *TyOrExpr,
SourceLocation RParenLoc);
/// Handle a C++1z fold-expression: ( expr op ... op expr ).
ExprResult ActOnCXXFoldExpr(Scope *S, SourceLocation LParenLoc, Expr *LHS,
tok::TokenKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc);
ExprResult BuildCXXFoldExpr(UnresolvedLookupExpr *Callee,
SourceLocation LParenLoc, Expr *LHS,
BinaryOperatorKind Operator,
SourceLocation EllipsisLoc, Expr *RHS,
SourceLocation RParenLoc,
Optional<unsigned> NumExpansions);
ExprResult BuildEmptyCXXFoldExpr(SourceLocation EllipsisLoc,
BinaryOperatorKind Operator);
//// ActOnCXXThis - Parse 'this' pointer.
ExprResult ActOnCXXThis(SourceLocation loc);
/// Build a CXXThisExpr and mark it referenced in the current context.
Expr *BuildCXXThisExpr(SourceLocation Loc, QualType Type, bool IsImplicit);
void MarkThisReferenced(CXXThisExpr *This);
/// Try to retrieve the type of the 'this' pointer.
///
/// \returns The type of 'this', if possible. Otherwise, returns a NULL type.
QualType getCurrentThisType();
/// When non-NULL, the C++ 'this' expression is allowed despite the
/// current context not being a non-static member function. In such cases,
/// this provides the type used for 'this'.
QualType CXXThisTypeOverride;
/// RAII object used to temporarily allow the C++ 'this' expression
/// to be used, with the given qualifiers on the current class type.
class CXXThisScopeRAII {
Sema &S;
QualType OldCXXThisTypeOverride;
bool Enabled;
public:
/// Introduce a new scope where 'this' may be allowed (when enabled),
/// using the given declaration (which is either a class template or a
/// class) along with the given qualifiers.
/// along with the qualifiers placed on '*this'.
CXXThisScopeRAII(Sema &S, Decl *ContextDecl, Qualifiers CXXThisTypeQuals,
bool Enabled = true);
~CXXThisScopeRAII();
};
/// Make sure the value of 'this' is actually available in the current
/// context, if it is a potentially evaluated context.
///
/// \param Loc The location at which the capture of 'this' occurs.
///
/// \param Explicit Whether 'this' is explicitly captured in a lambda
/// capture list.
///
/// \param FunctionScopeIndexToStopAt If non-null, it points to the index
/// of the FunctionScopeInfo stack beyond which we do not attempt to capture.
/// This is useful when enclosing lambdas must speculatively capture
/// 'this' that may or may not be used in certain specializations of
/// a nested generic lambda (depending on whether the name resolves to
/// a non-static member function or a static function).
/// \return returns 'true' if failed, 'false' if success.
bool CheckCXXThisCapture(SourceLocation Loc, bool Explicit = false,
bool BuildAndDiagnose = true,
const unsigned *const FunctionScopeIndexToStopAt = nullptr,
bool ByCopy = false);
/// Determine whether the given type is the type of *this that is used
/// outside of the body of a member function for a type that is currently
/// being defined.
bool isThisOutsideMemberFunctionBody(QualType BaseType);
/// ActOnCXXBoolLiteral - Parse {true,false} literals.
ExprResult ActOnCXXBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
/// ActOnObjCBoolLiteral - Parse {__objc_yes,__objc_no} literals.
ExprResult ActOnObjCBoolLiteral(SourceLocation OpLoc, tok::TokenKind Kind);
ExprResult
ActOnObjCAvailabilityCheckExpr(llvm::ArrayRef<AvailabilitySpec> AvailSpecs,
SourceLocation AtLoc, SourceLocation RParen);
/// ActOnCXXNullPtrLiteral - Parse 'nullptr'.
ExprResult ActOnCXXNullPtrLiteral(SourceLocation Loc);
//// ActOnCXXThrow - Parse throw expressions.
ExprResult ActOnCXXThrow(Scope *S, SourceLocation OpLoc, Expr *expr);
ExprResult BuildCXXThrow(SourceLocation OpLoc, Expr *Ex,
bool IsThrownVarInScope);
bool CheckCXXThrowOperand(SourceLocation ThrowLoc, QualType ThrowTy, Expr *E);
/// ActOnCXXTypeConstructExpr - Parse construction of a specified type.
/// Can be interpreted either as function-style casting ("int(x)")
/// or class type construction ("ClassType(x,y,z)")
/// or creation of a value-initialized type ("int()").
ExprResult ActOnCXXTypeConstructExpr(ParsedType TypeRep,
SourceLocation LParenOrBraceLoc,
MultiExprArg Exprs,
SourceLocation RParenOrBraceLoc,
bool ListInitialization);
ExprResult BuildCXXTypeConstructExpr(TypeSourceInfo *Type,
SourceLocation LParenLoc,
MultiExprArg Exprs,
SourceLocation RParenLoc,
bool ListInitialization);
/// ActOnCXXNew - Parsed a C++ 'new' expression.
ExprResult ActOnCXXNew(SourceLocation StartLoc, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens, Declarator &D,
Expr *Initializer);
ExprResult BuildCXXNew(SourceRange Range, bool UseGlobal,
SourceLocation PlacementLParen,
MultiExprArg PlacementArgs,
SourceLocation PlacementRParen,
SourceRange TypeIdParens,
QualType AllocType,
TypeSourceInfo *AllocTypeInfo,
Optional<Expr *> ArraySize,
SourceRange DirectInitRange,
Expr *Initializer);
/// Determine whether \p FD is an aligned allocation or deallocation
/// function that is unavailable.
bool isUnavailableAlignedAllocationFunction(const FunctionDecl &FD) const;
/// Produce diagnostics if \p FD is an aligned allocation or deallocation
/// function that is unavailable.
void diagnoseUnavailableAlignedAllocation(const FunctionDecl &FD,
SourceLocation Loc);
bool CheckAllocatedType(QualType AllocType, SourceLocation Loc,
SourceRange R);
/// The scope in which to find allocation functions.
enum AllocationFunctionScope {
/// Only look for allocation functions in the global scope.
AFS_Global,
/// Only look for allocation functions in the scope of the
/// allocated class.
AFS_Class,
/// Look for allocation functions in both the global scope
/// and in the scope of the allocated class.
AFS_Both
};
/// Finds the overloads of operator new and delete that are appropriate
/// for the allocation.
bool FindAllocationFunctions(SourceLocation StartLoc, SourceRange Range,
AllocationFunctionScope NewScope,
AllocationFunctionScope DeleteScope,
QualType AllocType, bool IsArray,
bool &PassAlignment, MultiExprArg PlaceArgs,
FunctionDecl *&OperatorNew,
FunctionDecl *&OperatorDelete,
bool Diagnose = true);
void DeclareGlobalNewDelete();
void DeclareGlobalAllocationFunction(DeclarationName Name, QualType Return,
ArrayRef<QualType> Params);
bool FindDeallocationFunction(SourceLocation StartLoc, CXXRecordDecl *RD,
DeclarationName Name, FunctionDecl* &Operator,
bool Diagnose = true);
FunctionDecl *FindUsualDeallocationFunction(SourceLocation StartLoc,
bool CanProvideSize,
bool Overaligned,
DeclarationName Name);
FunctionDecl *FindDeallocationFunctionForDestructor(SourceLocation StartLoc,
CXXRecordDecl *RD);
/// ActOnCXXDelete - Parsed a C++ 'delete' expression
ExprResult ActOnCXXDelete(SourceLocation StartLoc,
bool UseGlobal, bool ArrayForm,
Expr *Operand);
void CheckVirtualDtorCall(CXXDestructorDecl *dtor, SourceLocation Loc,
bool IsDelete, bool CallCanBeVirtual,
bool WarnOnNonAbstractTypes,
SourceLocation DtorLoc);
ExprResult ActOnNoexceptExpr(SourceLocation KeyLoc, SourceLocation LParen,
Expr *Operand, SourceLocation RParen);
ExprResult BuildCXXNoexceptExpr(SourceLocation KeyLoc, Expr *Operand,
SourceLocation RParen);
/// Parsed one of the type trait support pseudo-functions.
ExprResult ActOnTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<ParsedType> Args,
SourceLocation RParenLoc);
ExprResult BuildTypeTrait(TypeTrait Kind, SourceLocation KWLoc,
ArrayRef<TypeSourceInfo *> Args,
SourceLocation RParenLoc);
/// ActOnArrayTypeTrait - Parsed one of the binary type trait support
/// pseudo-functions.
ExprResult ActOnArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
ParsedType LhsTy,
Expr *DimExpr,
SourceLocation RParen);
ExprResult BuildArrayTypeTrait(ArrayTypeTrait ATT,
SourceLocation KWLoc,
TypeSourceInfo *TSInfo,
Expr *DimExpr,
SourceLocation RParen);
/// ActOnExpressionTrait - Parsed one of the unary type trait support
/// pseudo-functions.
ExprResult ActOnExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult BuildExpressionTrait(ExpressionTrait OET,
SourceLocation KWLoc,
Expr *Queried,
SourceLocation RParen);
ExprResult ActOnStartCXXMemberReference(Scope *S,
Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
ParsedType &ObjectType,
bool &MayBePseudoDestructor);
ExprResult BuildPseudoDestructorExpr(Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
const CXXScopeSpec &SS,
TypeSourceInfo *ScopeType,
SourceLocation CCLoc,
SourceLocation TildeLoc,
PseudoDestructorTypeStorage DestroyedType);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
CXXScopeSpec &SS,
UnqualifiedId &FirstTypeName,
SourceLocation CCLoc,
SourceLocation TildeLoc,
UnqualifiedId &SecondTypeName);
ExprResult ActOnPseudoDestructorExpr(Scope *S, Expr *Base,
SourceLocation OpLoc,
tok::TokenKind OpKind,
SourceLocation TildeLoc,
const DeclSpec& DS);
/// MaybeCreateExprWithCleanups - If the current full-expression
/// requires any cleanups, surround it with a ExprWithCleanups node.
/// Otherwise, just returns the passed-in expression.
Expr *MaybeCreateExprWithCleanups(Expr *SubExpr);
Stmt *MaybeCreateStmtWithCleanups(Stmt *SubStmt);
ExprResult MaybeCreateExprWithCleanups(ExprResult SubExpr);
MaterializeTemporaryExpr *
CreateMaterializeTemporaryExpr(QualType T, Expr *Temporary,
bool BoundToLvalueReference);
ExprResult ActOnFinishFullExpr(Expr *Expr, bool DiscardedValue) {
return ActOnFinishFullExpr(
Expr, Expr ? Expr->getExprLoc() : SourceLocation(), DiscardedValue);
}
ExprResult ActOnFinishFullExpr(Expr *Expr, SourceLocation CC,
bool DiscardedValue, bool IsConstexpr = false);
StmtResult ActOnFinishFullStmt(Stmt *Stmt);
// Marks SS invalid if it represents an incomplete type.
bool RequireCompleteDeclContext(CXXScopeSpec &SS, DeclContext *DC);
DeclContext *computeDeclContext(QualType T);
DeclContext *computeDeclContext(const CXXScopeSpec &SS,
bool EnteringContext = false);
bool isDependentScopeSpecifier(const CXXScopeSpec &SS);
CXXRecordDecl *getCurrentInstantiationOf(NestedNameSpecifier *NNS);
/// The parser has parsed a global nested-name-specifier '::'.
///
/// \param CCLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXGlobalScopeSpecifier(SourceLocation CCLoc, CXXScopeSpec &SS);
/// The parser has parsed a '__super' nested-name-specifier.
///
/// \param SuperLoc The location of the '__super' keyword.
///
/// \param ColonColonLoc The location of the '::'.
///
/// \param SS The nested-name-specifier, which will be updated in-place
/// to reflect the parsed nested-name-specifier.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnSuperScopeSpecifier(SourceLocation SuperLoc,
SourceLocation ColonColonLoc, CXXScopeSpec &SS);
bool isAcceptableNestedNameSpecifier(const NamedDecl *SD,
bool *CanCorrect = nullptr);
NamedDecl *FindFirstQualifierInScope(Scope *S, NestedNameSpecifier *NNS);
/// Keeps information about an identifier in a nested-name-spec.
///
struct NestedNameSpecInfo {
/// The type of the object, if we're parsing nested-name-specifier in
/// a member access expression.
ParsedType ObjectType;
/// The identifier preceding the '::'.
IdentifierInfo *Identifier;
/// The location of the identifier.
SourceLocation IdentifierLoc;
/// The location of the '::'.
SourceLocation CCLoc;
/// Creates info object for the most typical case.
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, ParsedType ObjectType = ParsedType())
: ObjectType(ObjectType), Identifier(II), IdentifierLoc(IdLoc),
CCLoc(ColonColonLoc) {
}
NestedNameSpecInfo(IdentifierInfo *II, SourceLocation IdLoc,
SourceLocation ColonColonLoc, QualType ObjectType)
: ObjectType(ParsedType::make(ObjectType)), Identifier(II),
IdentifierLoc(IdLoc), CCLoc(ColonColonLoc) {
}
};
bool isNonTypeNestedNameSpecifier(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo);
bool BuildCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
NamedDecl *ScopeLookupResult,
bool ErrorRecoveryLookup,
bool *IsCorrectedToColon = nullptr,
bool OnlyNamespace = false);
/// The parser has parsed a nested-name-specifier 'identifier::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param IdInfo Parser information about an identifier in the
/// nested-name-spec.
///
/// \param EnteringContext Whether we're entering the context nominated by
/// this nested-name-specifier.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param ErrorRecoveryLookup If true, then this method is called to improve
/// error recovery. In this case do not emit error message.
///
/// \param IsCorrectedToColon If not null, suggestions to replace '::' -> ':'
/// are allowed. The bool value pointed by this parameter is set to 'true'
/// if the identifier is treated as if it was followed by ':', not '::'.
///
/// \param OnlyNamespace If true, only considers namespaces in lookup.
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
NestedNameSpecInfo &IdInfo,
bool EnteringContext,
CXXScopeSpec &SS,
bool ErrorRecoveryLookup = false,
bool *IsCorrectedToColon = nullptr,
bool OnlyNamespace = false);
ExprResult ActOnDecltypeExpression(Expr *E);
bool ActOnCXXNestedNameSpecifierDecltype(CXXScopeSpec &SS,
const DeclSpec &DS,
SourceLocation ColonColonLoc);
bool IsInvalidUnlessNestedName(Scope *S, CXXScopeSpec &SS,
NestedNameSpecInfo &IdInfo,
bool EnteringContext);
/// The parser has parsed a nested-name-specifier
/// 'template[opt] template-name < template-args >::'.
///
/// \param S The scope in which this nested-name-specifier occurs.
///
/// \param SS The nested-name-specifier, which is both an input
/// parameter (the nested-name-specifier before this type) and an
/// output parameter (containing the full nested-name-specifier,
/// including this new type).
///
/// \param TemplateKWLoc the location of the 'template' keyword, if any.
/// \param TemplateName the template name.
/// \param TemplateNameLoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
/// \param CCLoc The location of the '::'.
///
/// \param EnteringContext Whether we're entering the context of the
/// nested-name-specifier.
///
///
/// \returns true if an error occurred, false otherwise.
bool ActOnCXXNestedNameSpecifier(Scope *S,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateName,
SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc,
SourceLocation CCLoc,
bool EnteringContext);
/// Given a C++ nested-name-specifier, produce an annotation value
/// that the parser can use later to reconstruct the given
/// nested-name-specifier.
///
/// \param SS A nested-name-specifier.
///
/// \returns A pointer containing all of the information in the
/// nested-name-specifier \p SS.
void *SaveNestedNameSpecifierAnnotation(CXXScopeSpec &SS);
/// Given an annotation pointer for a nested-name-specifier, restore
/// the nested-name-specifier structure.
///
/// \param Annotation The annotation pointer, produced by
/// \c SaveNestedNameSpecifierAnnotation().
///
/// \param AnnotationRange The source range corresponding to the annotation.
///
/// \param SS The nested-name-specifier that will be updated with the contents
/// of the annotation pointer.
void RestoreNestedNameSpecifierAnnotation(void *Annotation,
SourceRange AnnotationRange,
CXXScopeSpec &SS);
bool ShouldEnterDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclaratorScope - Called when a C++ scope specifier (global
/// scope or nested-name-specifier) is parsed, part of a declarator-id.
/// After this method is called, according to [C++ 3.4.3p3], names should be
/// looked up in the declarator-id's scope, until the declarator is parsed and
/// ActOnCXXExitDeclaratorScope is called.
/// The 'SS' should be a non-empty valid CXXScopeSpec.
bool ActOnCXXEnterDeclaratorScope(Scope *S, CXXScopeSpec &SS);
/// ActOnCXXExitDeclaratorScope - Called when a declarator that previously
/// invoked ActOnCXXEnterDeclaratorScope(), is finished. 'SS' is the same
/// CXXScopeSpec that was passed to ActOnCXXEnterDeclaratorScope as well.
/// Used to indicate that names should revert to being looked up in the
/// defining scope.
void ActOnCXXExitDeclaratorScope(Scope *S, const CXXScopeSpec &SS);
/// ActOnCXXEnterDeclInitializer - Invoked when we are about to parse an
/// initializer for the declaration 'Dcl'.
/// After this method is called, according to [C++ 3.4.1p13], if 'Dcl' is a
/// static data member of class X, names should be looked up in the scope of
/// class X.
void ActOnCXXEnterDeclInitializer(Scope *S, Decl *Dcl);
/// ActOnCXXExitDeclInitializer - Invoked after we are finished parsing an
/// initializer for the declaration 'Dcl'.
void ActOnCXXExitDeclInitializer(Scope *S, Decl *Dcl);
/// Create a new lambda closure type.
CXXRecordDecl *createLambdaClosureType(SourceRange IntroducerRange,
TypeSourceInfo *Info,
bool KnownDependent,
LambdaCaptureDefault CaptureDefault);
/// Start the definition of a lambda expression.
CXXMethodDecl *startLambdaDefinition(CXXRecordDecl *Class,
SourceRange IntroducerRange,
TypeSourceInfo *MethodType,
SourceLocation EndLoc,
ArrayRef<ParmVarDecl *> Params,
ConstexprSpecKind ConstexprKind,
Expr *TrailingRequiresClause);
/// Number lambda for linkage purposes if necessary.
void handleLambdaNumbering(
CXXRecordDecl *Class, CXXMethodDecl *Method,
Optional<std::tuple<unsigned, bool, Decl *>> Mangling = None);
/// Endow the lambda scope info with the relevant properties.
void buildLambdaScope(sema::LambdaScopeInfo *LSI,
CXXMethodDecl *CallOperator,
SourceRange IntroducerRange,
LambdaCaptureDefault CaptureDefault,
SourceLocation CaptureDefaultLoc,
bool ExplicitParams,
bool ExplicitResultType,
bool Mutable);
/// Perform initialization analysis of the init-capture and perform
/// any implicit conversions such as an lvalue-to-rvalue conversion if
/// not being used to initialize a reference.
ParsedType actOnLambdaInitCaptureInitialization(
SourceLocation Loc, bool ByRef, SourceLocation EllipsisLoc,
IdentifierInfo *Id, LambdaCaptureInitKind InitKind, Expr *&Init) {
return ParsedType::make(buildLambdaInitCaptureInitialization(
Loc, ByRef, EllipsisLoc, None, Id,
InitKind != LambdaCaptureInitKind::CopyInit, Init));
}
QualType buildLambdaInitCaptureInitialization(
SourceLocation Loc, bool ByRef, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions, IdentifierInfo *Id, bool DirectInit,
Expr *&Init);
/// Create a dummy variable within the declcontext of the lambda's
/// call operator, for name lookup purposes for a lambda init capture.
///
/// CodeGen handles emission of lambda captures, ignoring these dummy
/// variables appropriately.
VarDecl *createLambdaInitCaptureVarDecl(SourceLocation Loc,
QualType InitCaptureType,
SourceLocation EllipsisLoc,
IdentifierInfo *Id,
unsigned InitStyle, Expr *Init);
/// Add an init-capture to a lambda scope.
void addInitCapture(sema::LambdaScopeInfo *LSI, VarDecl *Var);
/// Note that we have finished the explicit captures for the
/// given lambda.
void finishLambdaExplicitCaptures(sema::LambdaScopeInfo *LSI);
/// \brief This is called after parsing the explicit template parameter list
/// on a lambda (if it exists) in C++2a.
void ActOnLambdaExplicitTemplateParameterList(SourceLocation LAngleLoc,
ArrayRef<NamedDecl *> TParams,
SourceLocation RAngleLoc);
/// Introduce the lambda parameters into scope.
void addLambdaParameters(
ArrayRef<LambdaIntroducer::LambdaCapture> Captures,
CXXMethodDecl *CallOperator, Scope *CurScope);
/// Deduce a block or lambda's return type based on the return
/// statements present in the body.
void deduceClosureReturnType(sema::CapturingScopeInfo &CSI);
/// ActOnStartOfLambdaDefinition - This is called just before we start
/// parsing the body of a lambda; it analyzes the explicit captures and
/// arguments, and sets up various data-structures for the body of the
/// lambda.
void ActOnStartOfLambdaDefinition(LambdaIntroducer &Intro,
Declarator &ParamInfo, Scope *CurScope);
/// ActOnLambdaError - If there is an error parsing a lambda, this callback
/// is invoked to pop the information about the lambda.
void ActOnLambdaError(SourceLocation StartLoc, Scope *CurScope,
bool IsInstantiation = false);
/// ActOnLambdaExpr - This is called when the body of a lambda expression
/// was successfully completed.
ExprResult ActOnLambdaExpr(SourceLocation StartLoc, Stmt *Body,
Scope *CurScope);
/// Does copying/destroying the captured variable have side effects?
bool CaptureHasSideEffects(const sema::Capture &From);
/// Diagnose if an explicit lambda capture is unused. Returns true if a
/// diagnostic is emitted.
bool DiagnoseUnusedLambdaCapture(SourceRange CaptureRange,
const sema::Capture &From);
/// Build a FieldDecl suitable to hold the given capture.
FieldDecl *BuildCaptureField(RecordDecl *RD, const sema::Capture &Capture);
/// Initialize the given capture with a suitable expression.
ExprResult BuildCaptureInit(const sema::Capture &Capture,
SourceLocation ImplicitCaptureLoc,
bool IsOpenMPMapping = false);
/// Complete a lambda-expression having processed and attached the
/// lambda body.
ExprResult BuildLambdaExpr(SourceLocation StartLoc, SourceLocation EndLoc,
sema::LambdaScopeInfo *LSI);
/// Get the return type to use for a lambda's conversion function(s) to
/// function pointer type, given the type of the call operator.
QualType
getLambdaConversionFunctionResultType(const FunctionProtoType *CallOpType);
/// Define the "body" of the conversion from a lambda object to a
/// function pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToFunctionPointerConversion(
SourceLocation CurrentLoc, CXXConversionDecl *Conv);
/// Define the "body" of the conversion from a lambda object to a
/// block pointer.
///
/// This routine doesn't actually define a sensible body; rather, it fills
/// in the initialization expression needed to copy the lambda object into
/// the block, and IR generation actually generates the real body of the
/// block pointer conversion.
void DefineImplicitLambdaToBlockPointerConversion(SourceLocation CurrentLoc,
CXXConversionDecl *Conv);
ExprResult BuildBlockForLambdaConversion(SourceLocation CurrentLocation,
SourceLocation ConvLocation,
CXXConversionDecl *Conv,
Expr *Src);
/// Check whether the given expression is a valid constraint expression.
/// A diagnostic is emitted if it is not, false is returned, and
/// PossibleNonPrimary will be set to true if the failure might be due to a
/// non-primary expression being used as an atomic constraint.
bool CheckConstraintExpression(const Expr *CE, Token NextToken = Token(),
bool *PossibleNonPrimary = nullptr,
bool IsTrailingRequiresClause = false);
private:
/// Caches pairs of template-like decls whose associated constraints were
/// checked for subsumption and whether or not the first's constraints did in
/// fact subsume the second's.
llvm::DenseMap<std::pair<NamedDecl *, NamedDecl *>, bool> SubsumptionCache;
/// Caches the normalized associated constraints of declarations (concepts or
/// constrained declarations). If an error occurred while normalizing the
/// associated constraints of the template or concept, nullptr will be cached
/// here.
llvm::DenseMap<NamedDecl *, NormalizedConstraint *>
NormalizationCache;
llvm::ContextualFoldingSet<ConstraintSatisfaction, const ASTContext &>
SatisfactionCache;
public:
const NormalizedConstraint *
getNormalizedAssociatedConstraints(
NamedDecl *ConstrainedDecl, ArrayRef<const Expr *> AssociatedConstraints);
/// \brief Check whether the given declaration's associated constraints are
/// at least as constrained than another declaration's according to the
/// partial ordering of constraints.
///
/// \param Result If no error occurred, receives the result of true if D1 is
/// at least constrained than D2, and false otherwise.
///
/// \returns true if an error occurred, false otherwise.
bool IsAtLeastAsConstrained(NamedDecl *D1, ArrayRef<const Expr *> AC1,
NamedDecl *D2, ArrayRef<const Expr *> AC2,
bool &Result);
/// If D1 was not at least as constrained as D2, but would've been if a pair
/// of atomic constraints involved had been declared in a concept and not
/// repeated in two separate places in code.
/// \returns true if such a diagnostic was emitted, false otherwise.
bool MaybeEmitAmbiguousAtomicConstraintsDiagnostic(NamedDecl *D1,
ArrayRef<const Expr *> AC1, NamedDecl *D2, ArrayRef<const Expr *> AC2);
/// \brief Check whether the given list of constraint expressions are
/// satisfied (as if in a 'conjunction') given template arguments.
/// \param Template the template-like entity that triggered the constraints
/// check (either a concept or a constrained entity).
/// \param ConstraintExprs a list of constraint expressions, treated as if
/// they were 'AND'ed together.
/// \param TemplateArgs the list of template arguments to substitute into the
/// constraint expression.
/// \param TemplateIDRange The source range of the template id that
/// caused the constraints check.
/// \param Satisfaction if true is returned, will contain details of the
/// satisfaction, with enough information to diagnose an unsatisfied
/// expression.
/// \returns true if an error occurred and satisfaction could not be checked,
/// false otherwise.
bool CheckConstraintSatisfaction(
const NamedDecl *Template, ArrayRef<const Expr *> ConstraintExprs,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange TemplateIDRange, ConstraintSatisfaction &Satisfaction);
/// \brief Check whether the given non-dependent constraint expression is
/// satisfied. Returns false and updates Satisfaction with the satisfaction
/// verdict if successful, emits a diagnostic and returns true if an error
/// occured and satisfaction could not be determined.
///
/// \returns true if an error occurred, false otherwise.
bool CheckConstraintSatisfaction(const Expr *ConstraintExpr,
ConstraintSatisfaction &Satisfaction);
/// Check whether the given function decl's trailing requires clause is
/// satisfied, if any. Returns false and updates Satisfaction with the
/// satisfaction verdict if successful, emits a diagnostic and returns true if
/// an error occured and satisfaction could not be determined.
///
/// \returns true if an error occurred, false otherwise.
bool CheckFunctionConstraints(const FunctionDecl *FD,
ConstraintSatisfaction &Satisfaction,
SourceLocation UsageLoc = SourceLocation());
/// \brief Ensure that the given template arguments satisfy the constraints
/// associated with the given template, emitting a diagnostic if they do not.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateArgs The converted, canonicalized template arguments.
///
/// \param TemplateIDRange The source range of the template id that
/// caused the constraints check.
///
/// \returns true if the constrains are not satisfied or could not be checked
/// for satisfaction, false if the constraints are satisfied.
bool EnsureTemplateArgumentListConstraints(TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange TemplateIDRange);
/// \brief Emit diagnostics explaining why a constraint expression was deemed
/// unsatisfied.
/// \param First whether this is the first time an unsatisfied constraint is
/// diagnosed for this error.
void
DiagnoseUnsatisfiedConstraint(const ConstraintSatisfaction &Satisfaction,
bool First = true);
/// \brief Emit diagnostics explaining why a constraint expression was deemed
/// unsatisfied.
void
DiagnoseUnsatisfiedConstraint(const ASTConstraintSatisfaction &Satisfaction,
bool First = true);
/// \brief Emit diagnostics explaining why a constraint expression was deemed
/// unsatisfied because it was ill-formed.
void DiagnoseUnsatisfiedIllFormedConstraint(SourceLocation DiagnosticLocation,
StringRef Diagnostic);
void DiagnoseRedeclarationConstraintMismatch(SourceLocation Old,
SourceLocation New);
// ParseObjCStringLiteral - Parse Objective-C string literals.
ExprResult ParseObjCStringLiteral(SourceLocation *AtLocs,
ArrayRef<Expr *> Strings);
ExprResult BuildObjCStringLiteral(SourceLocation AtLoc, StringLiteral *S);
/// BuildObjCNumericLiteral - builds an ObjCBoxedExpr AST node for the
/// numeric literal expression. Type of the expression will be "NSNumber *"
/// or "id" if NSNumber is unavailable.
ExprResult BuildObjCNumericLiteral(SourceLocation AtLoc, Expr *Number);
ExprResult ActOnObjCBoolLiteral(SourceLocation AtLoc, SourceLocation ValueLoc,
bool Value);
ExprResult BuildObjCArrayLiteral(SourceRange SR, MultiExprArg Elements);
/// BuildObjCBoxedExpr - builds an ObjCBoxedExpr AST node for the
/// '@' prefixed parenthesized expression. The type of the expression will
/// either be "NSNumber *", "NSString *" or "NSValue *" depending on the type
/// of ValueType, which is allowed to be a built-in numeric type, "char *",
/// "const char *" or C structure with attribute 'objc_boxable'.
ExprResult BuildObjCBoxedExpr(SourceRange SR, Expr *ValueExpr);
ExprResult BuildObjCSubscriptExpression(SourceLocation RB, Expr *BaseExpr,
Expr *IndexExpr,
ObjCMethodDecl *getterMethod,
ObjCMethodDecl *setterMethod);
ExprResult BuildObjCDictionaryLiteral(SourceRange SR,
MutableArrayRef<ObjCDictionaryElement> Elements);
ExprResult BuildObjCEncodeExpression(SourceLocation AtLoc,
TypeSourceInfo *EncodedTypeInfo,
SourceLocation RParenLoc);
ExprResult BuildCXXMemberCallExpr(Expr *Exp, NamedDecl *FoundDecl,
CXXConversionDecl *Method,
bool HadMultipleCandidates);
ExprResult ParseObjCEncodeExpression(SourceLocation AtLoc,
SourceLocation EncodeLoc,
SourceLocation LParenLoc,
ParsedType Ty,
SourceLocation RParenLoc);
/// ParseObjCSelectorExpression - Build selector expression for \@selector
ExprResult ParseObjCSelectorExpression(Selector Sel,
SourceLocation AtLoc,
SourceLocation SelLoc,
SourceLocation LParenLoc,
SourceLocation RParenLoc,
bool WarnMultipleSelectors);
/// ParseObjCProtocolExpression - Build protocol expression for \@protocol
ExprResult ParseObjCProtocolExpression(IdentifierInfo * ProtocolName,
SourceLocation AtLoc,
SourceLocation ProtoLoc,
SourceLocation LParenLoc,
SourceLocation ProtoIdLoc,
SourceLocation RParenLoc);
//===--------------------------------------------------------------------===//
// C++ Declarations
//
Decl *ActOnStartLinkageSpecification(Scope *S,
SourceLocation ExternLoc,
Expr *LangStr,
SourceLocation LBraceLoc);
Decl *ActOnFinishLinkageSpecification(Scope *S,
Decl *LinkageSpec,
SourceLocation RBraceLoc);
//===--------------------------------------------------------------------===//
// C++ Classes
//
CXXRecordDecl *getCurrentClass(Scope *S, const CXXScopeSpec *SS);
bool isCurrentClassName(const IdentifierInfo &II, Scope *S,
const CXXScopeSpec *SS = nullptr);
bool isCurrentClassNameTypo(IdentifierInfo *&II, const CXXScopeSpec *SS);
bool ActOnAccessSpecifier(AccessSpecifier Access, SourceLocation ASLoc,
SourceLocation ColonLoc,
const ParsedAttributesView &Attrs);
NamedDecl *ActOnCXXMemberDeclarator(Scope *S, AccessSpecifier AS,
Declarator &D,
MultiTemplateParamsArg TemplateParameterLists,
Expr *BitfieldWidth, const VirtSpecifiers &VS,
InClassInitStyle InitStyle);
void ActOnStartCXXInClassMemberInitializer();
void ActOnFinishCXXInClassMemberInitializer(Decl *VarDecl,
SourceLocation EqualLoc,
Expr *Init);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
SourceLocation LParenLoc,
ArrayRef<Expr *> Args,
SourceLocation RParenLoc,
SourceLocation EllipsisLoc);
MemInitResult ActOnMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *InitList,
SourceLocation EllipsisLoc);
MemInitResult BuildMemInitializer(Decl *ConstructorD,
Scope *S,
CXXScopeSpec &SS,
IdentifierInfo *MemberOrBase,
ParsedType TemplateTypeTy,
const DeclSpec &DS,
SourceLocation IdLoc,
Expr *Init,
SourceLocation EllipsisLoc);
MemInitResult BuildMemberInitializer(ValueDecl *Member,
Expr *Init,
SourceLocation IdLoc);
MemInitResult BuildBaseInitializer(QualType BaseType,
TypeSourceInfo *BaseTInfo,
Expr *Init,
CXXRecordDecl *ClassDecl,
SourceLocation EllipsisLoc);
MemInitResult BuildDelegatingInitializer(TypeSourceInfo *TInfo,
Expr *Init,
CXXRecordDecl *ClassDecl);
bool SetDelegatingInitializer(CXXConstructorDecl *Constructor,
CXXCtorInitializer *Initializer);
bool SetCtorInitializers(CXXConstructorDecl *Constructor, bool AnyErrors,
ArrayRef<CXXCtorInitializer *> Initializers = None);
void SetIvarInitializers(ObjCImplementationDecl *ObjCImplementation);
/// MarkBaseAndMemberDestructorsReferenced - Given a record decl,
/// mark all the non-trivial destructors of its members and bases as
/// referenced.
void MarkBaseAndMemberDestructorsReferenced(SourceLocation Loc,
CXXRecordDecl *Record);
/// Mark destructors of virtual bases of this class referenced. In the Itanium
/// C++ ABI, this is done when emitting a destructor for any non-abstract
/// class. In the Microsoft C++ ABI, this is done any time a class's
/// destructor is referenced.
void MarkVirtualBaseDestructorsReferenced(
SourceLocation Location, CXXRecordDecl *ClassDecl,
llvm::SmallPtrSetImpl<const RecordType *> *DirectVirtualBases = nullptr);
/// Do semantic checks to allow the complete destructor variant to be emitted
/// when the destructor is defined in another translation unit. In the Itanium
/// C++ ABI, destructor variants are emitted together. In the MS C++ ABI, they
/// can be emitted in separate TUs. To emit the complete variant, run a subset
/// of the checks performed when emitting a regular destructor.
void CheckCompleteDestructorVariant(SourceLocation CurrentLocation,
CXXDestructorDecl *Dtor);
/// The list of classes whose vtables have been used within
/// this translation unit, and the source locations at which the
/// first use occurred.
typedef std::pair<CXXRecordDecl*, SourceLocation> VTableUse;
/// The list of vtables that are required but have not yet been
/// materialized.
SmallVector<VTableUse, 16> VTableUses;
/// The set of classes whose vtables have been used within
/// this translation unit, and a bit that will be true if the vtable is
/// required to be emitted (otherwise, it should be emitted only if needed
/// by code generation).
llvm::DenseMap<CXXRecordDecl *, bool> VTablesUsed;
/// Load any externally-stored vtable uses.
void LoadExternalVTableUses();
/// Note that the vtable for the given class was used at the
/// given location.
void MarkVTableUsed(SourceLocation Loc, CXXRecordDecl *Class,
bool DefinitionRequired = false);
/// Mark the exception specifications of all virtual member functions
/// in the given class as needed.
void MarkVirtualMemberExceptionSpecsNeeded(SourceLocation Loc,
const CXXRecordDecl *RD);
/// MarkVirtualMembersReferenced - Will mark all members of the given
/// CXXRecordDecl referenced.
void MarkVirtualMembersReferenced(SourceLocation Loc, const CXXRecordDecl *RD,
bool ConstexprOnly = false);
/// Define all of the vtables that have been used in this
/// translation unit and reference any virtual members used by those
/// vtables.
///
/// \returns true if any work was done, false otherwise.
bool DefineUsedVTables();
void AddImplicitlyDeclaredMembersToClass(CXXRecordDecl *ClassDecl);
void ActOnMemInitializers(Decl *ConstructorDecl,
SourceLocation ColonLoc,
ArrayRef<CXXCtorInitializer*> MemInits,
bool AnyErrors);
/// Check class-level dllimport/dllexport attribute. The caller must
/// ensure that referenceDLLExportedClassMethods is called some point later
/// when all outer classes of Class are complete.
void checkClassLevelDLLAttribute(CXXRecordDecl *Class);
void checkClassLevelCodeSegAttribute(CXXRecordDecl *Class);
void referenceDLLExportedClassMethods();
void propagateDLLAttrToBaseClassTemplate(
CXXRecordDecl *Class, Attr *ClassAttr,
ClassTemplateSpecializationDecl *BaseTemplateSpec,
SourceLocation BaseLoc);
/// Add gsl::Pointer attribute to std::container::iterator
/// \param ND The declaration that introduces the name
/// std::container::iterator. \param UnderlyingRecord The record named by ND.
void inferGslPointerAttribute(NamedDecl *ND, CXXRecordDecl *UnderlyingRecord);
/// Add [[gsl::Owner]] and [[gsl::Pointer]] attributes for std:: types.
void inferGslOwnerPointerAttribute(CXXRecordDecl *Record);
/// Add [[gsl::Pointer]] attributes for std:: types.
void inferGslPointerAttribute(TypedefNameDecl *TD);
void CheckCompletedCXXClass(Scope *S, CXXRecordDecl *Record);
/// Check that the C++ class annoated with "trivial_abi" satisfies all the
/// conditions that are needed for the attribute to have an effect.
void checkIllFormedTrivialABIStruct(CXXRecordDecl &RD);
void ActOnFinishCXXMemberSpecification(Scope *S, SourceLocation RLoc,
Decl *TagDecl, SourceLocation LBrac,
SourceLocation RBrac,
const ParsedAttributesView &AttrList);
void ActOnFinishCXXMemberDecls();
void ActOnFinishCXXNonNestedClass();
void ActOnReenterCXXMethodParameter(Scope *S, ParmVarDecl *Param);
unsigned ActOnReenterTemplateScope(Decl *Template,
llvm::function_ref<Scope *()> EnterScope);
void ActOnStartDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnStartDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnDelayedCXXMethodParameter(Scope *S, Decl *Param);
void ActOnFinishDelayedMemberDeclarations(Scope *S, Decl *Record);
void ActOnFinishDelayedCXXMethodDeclaration(Scope *S, Decl *Method);
void ActOnFinishDelayedMemberInitializers(Decl *Record);
void MarkAsLateParsedTemplate(FunctionDecl *FD, Decl *FnD,
CachedTokens &Toks);
void UnmarkAsLateParsedTemplate(FunctionDecl *FD);
bool IsInsideALocalClassWithinATemplateFunction();
Decl *ActOnStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
Expr *AssertMessageExpr,
SourceLocation RParenLoc);
Decl *BuildStaticAssertDeclaration(SourceLocation StaticAssertLoc,
Expr *AssertExpr,
StringLiteral *AssertMessageExpr,
SourceLocation RParenLoc,
bool Failed);
FriendDecl *CheckFriendTypeDecl(SourceLocation LocStart,
SourceLocation FriendLoc,
TypeSourceInfo *TSInfo);
Decl *ActOnFriendTypeDecl(Scope *S, const DeclSpec &DS,
MultiTemplateParamsArg TemplateParams);
NamedDecl *ActOnFriendFunctionDecl(Scope *S, Declarator &D,
MultiTemplateParamsArg TemplateParams);
QualType CheckConstructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
void CheckConstructor(CXXConstructorDecl *Constructor);
QualType CheckDestructorDeclarator(Declarator &D, QualType R,
StorageClass& SC);
bool CheckDestructor(CXXDestructorDecl *Destructor);
void CheckConversionDeclarator(Declarator &D, QualType &R,
StorageClass& SC);
Decl *ActOnConversionDeclarator(CXXConversionDecl *Conversion);
void CheckDeductionGuideDeclarator(Declarator &D, QualType &R,
StorageClass &SC);
void CheckDeductionGuideTemplate(FunctionTemplateDecl *TD);
void CheckExplicitlyDefaultedFunction(Scope *S, FunctionDecl *MD);
bool CheckExplicitlyDefaultedSpecialMember(CXXMethodDecl *MD,
CXXSpecialMember CSM);
void CheckDelayedMemberExceptionSpecs();
bool CheckExplicitlyDefaultedComparison(Scope *S, FunctionDecl *MD,
DefaultedComparisonKind DCK);
void DeclareImplicitEqualityComparison(CXXRecordDecl *RD,
FunctionDecl *Spaceship);
void DefineDefaultedComparison(SourceLocation Loc, FunctionDecl *FD,
DefaultedComparisonKind DCK);
//===--------------------------------------------------------------------===//
// C++ Derived Classes
//
/// ActOnBaseSpecifier - Parsed a base specifier
CXXBaseSpecifier *CheckBaseSpecifier(CXXRecordDecl *Class,
SourceRange SpecifierRange,
bool Virtual, AccessSpecifier Access,
TypeSourceInfo *TInfo,
SourceLocation EllipsisLoc);
BaseResult ActOnBaseSpecifier(Decl *classdecl,
SourceRange SpecifierRange,
ParsedAttributes &Attrs,
bool Virtual, AccessSpecifier Access,
ParsedType basetype,
SourceLocation BaseLoc,
SourceLocation EllipsisLoc);
bool AttachBaseSpecifiers(CXXRecordDecl *Class,
MutableArrayRef<CXXBaseSpecifier *> Bases);
void ActOnBaseSpecifiers(Decl *ClassDecl,
MutableArrayRef<CXXBaseSpecifier *> Bases);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base);
bool IsDerivedFrom(SourceLocation Loc, QualType Derived, QualType Base,
CXXBasePaths &Paths);
// FIXME: I don't like this name.
void BuildBasePathArray(const CXXBasePaths &Paths, CXXCastPath &BasePath);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
SourceLocation Loc, SourceRange Range,
CXXCastPath *BasePath = nullptr,
bool IgnoreAccess = false);
bool CheckDerivedToBaseConversion(QualType Derived, QualType Base,
unsigned InaccessibleBaseID,
unsigned AmbiguousBaseConvID,
SourceLocation Loc, SourceRange Range,
DeclarationName Name,
CXXCastPath *BasePath,
bool IgnoreAccess = false);
std::string getAmbiguousPathsDisplayString(CXXBasePaths &Paths);
bool CheckOverridingFunctionAttributes(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionReturnType - Checks whether the return types are
/// covariant, according to C++ [class.virtual]p5.
bool CheckOverridingFunctionReturnType(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
/// CheckOverridingFunctionExceptionSpec - Checks whether the exception
/// spec is a subset of base spec.
bool CheckOverridingFunctionExceptionSpec(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
bool CheckPureMethod(CXXMethodDecl *Method, SourceRange InitRange);
/// CheckOverrideControl - Check C++11 override control semantics.
void CheckOverrideControl(NamedDecl *D);
/// DiagnoseAbsenceOfOverrideControl - Diagnose if 'override' keyword was
/// not used in the declaration of an overriding method.
void DiagnoseAbsenceOfOverrideControl(NamedDecl *D, bool Inconsistent);
/// CheckForFunctionMarkedFinal - Checks whether a virtual member function
/// overrides a virtual member function marked 'final', according to
/// C++11 [class.virtual]p4.
bool CheckIfOverriddenFunctionIsMarkedFinal(const CXXMethodDecl *New,
const CXXMethodDecl *Old);
//===--------------------------------------------------------------------===//
// C++ Access Control
//
enum AccessResult {
AR_accessible,
AR_inaccessible,
AR_dependent,
AR_delayed
};
bool SetMemberAccessSpecifier(NamedDecl *MemberDecl,
NamedDecl *PrevMemberDecl,
AccessSpecifier LexicalAS);
AccessResult CheckUnresolvedMemberAccess(UnresolvedMemberExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckUnresolvedLookupAccess(UnresolvedLookupExpr *E,
DeclAccessPair FoundDecl);
AccessResult CheckAllocationAccess(SourceLocation OperatorLoc,
SourceRange PlacementRange,
CXXRecordDecl *NamingClass,
DeclAccessPair FoundDecl,
bool Diagnose = true);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
bool IsCopyBindingRefToTemp = false);
AccessResult CheckConstructorAccess(SourceLocation Loc,
CXXConstructorDecl *D,
DeclAccessPair FoundDecl,
const InitializedEntity &Entity,
const PartialDiagnostic &PDiag);
AccessResult CheckDestructorAccess(SourceLocation Loc,
CXXDestructorDecl *Dtor,
const PartialDiagnostic &PDiag,
QualType objectType = QualType());
AccessResult CheckFriendAccess(NamedDecl *D);
AccessResult CheckMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *NamingClass,
DeclAccessPair Found);
AccessResult
CheckStructuredBindingMemberAccess(SourceLocation UseLoc,
CXXRecordDecl *DecomposedClass,
DeclAccessPair Field);
AccessResult CheckMemberOperatorAccess(SourceLocation Loc,
Expr *ObjectExpr,
Expr *ArgExpr,
DeclAccessPair FoundDecl);
AccessResult CheckAddressOfMemberAccess(Expr *OvlExpr,
DeclAccessPair FoundDecl);
AccessResult CheckBaseClassAccess(SourceLocation AccessLoc,
QualType Base, QualType Derived,
const CXXBasePath &Path,
unsigned DiagID,
bool ForceCheck = false,
bool ForceUnprivileged = false);
void CheckLookupAccess(const LookupResult &R);
bool IsSimplyAccessible(NamedDecl *Decl, CXXRecordDecl *NamingClass,
QualType BaseType);
bool isMemberAccessibleForDeletion(CXXRecordDecl *NamingClass,
DeclAccessPair Found, QualType ObjectType,
SourceLocation Loc,
const PartialDiagnostic &Diag);
bool isMemberAccessibleForDeletion(CXXRecordDecl *NamingClass,
DeclAccessPair Found,
QualType ObjectType) {
return isMemberAccessibleForDeletion(NamingClass, Found, ObjectType,
SourceLocation(), PDiag());
}
void HandleDependentAccessCheck(const DependentDiagnostic &DD,
const MultiLevelTemplateArgumentList &TemplateArgs);
void PerformDependentDiagnostics(const DeclContext *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
void HandleDelayedAccessCheck(sema::DelayedDiagnostic &DD, Decl *Ctx);
/// When true, access checking violations are treated as SFINAE
/// failures rather than hard errors.
bool AccessCheckingSFINAE;
enum AbstractDiagSelID {
AbstractNone = -1,
AbstractReturnType,
AbstractParamType,
AbstractVariableType,
AbstractFieldType,
AbstractIvarType,
AbstractSynthesizedIvarType,
AbstractArrayType
};
bool isAbstractType(SourceLocation Loc, QualType T);
bool RequireNonAbstractType(SourceLocation Loc, QualType T,
TypeDiagnoser &Diagnoser);
template <typename... Ts>
bool RequireNonAbstractType(SourceLocation Loc, QualType T, unsigned DiagID,
const Ts &...Args) {
BoundTypeDiagnoser<Ts...> Diagnoser(DiagID, Args...);
return RequireNonAbstractType(Loc, T, Diagnoser);
}
void DiagnoseAbstractType(const CXXRecordDecl *RD);
//===--------------------------------------------------------------------===//
// C++ Overloaded Operators [C++ 13.5]
//
bool CheckOverloadedOperatorDeclaration(FunctionDecl *FnDecl);
bool CheckLiteralOperatorDeclaration(FunctionDecl *FnDecl);
//===--------------------------------------------------------------------===//
// C++ Templates [C++ 14]
//
void FilterAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true,
bool AllowDependent = true);
bool hasAnyAcceptableTemplateNames(LookupResult &R,
bool AllowFunctionTemplates = true,
bool AllowDependent = true,
bool AllowNonTemplateFunctions = false);
/// Try to interpret the lookup result D as a template-name.
///
/// \param D A declaration found by name lookup.
/// \param AllowFunctionTemplates Whether function templates should be
/// considered valid results.
/// \param AllowDependent Whether unresolved using declarations (that might
/// name templates) should be considered valid results.
NamedDecl *getAsTemplateNameDecl(NamedDecl *D,
bool AllowFunctionTemplates = true,
bool AllowDependent = true);
enum TemplateNameIsRequiredTag { TemplateNameIsRequired };
/// Whether and why a template name is required in this lookup.
class RequiredTemplateKind {
public:
/// Template name is required if TemplateKWLoc is valid.
RequiredTemplateKind(SourceLocation TemplateKWLoc = SourceLocation())
: TemplateKW(TemplateKWLoc) {}
/// Template name is unconditionally required.
RequiredTemplateKind(TemplateNameIsRequiredTag) : TemplateKW() {}
SourceLocation getTemplateKeywordLoc() const {
return TemplateKW.getValueOr(SourceLocation());
}
bool hasTemplateKeyword() const { return getTemplateKeywordLoc().isValid(); }
bool isRequired() const { return TemplateKW != SourceLocation(); }
explicit operator bool() const { return isRequired(); }
private:
llvm::Optional<SourceLocation> TemplateKW;
};
enum class AssumedTemplateKind {
/// This is not assumed to be a template name.
None,
/// This is assumed to be a template name because lookup found nothing.
FoundNothing,
/// This is assumed to be a template name because lookup found one or more
/// functions (but no function templates).
FoundFunctions,
};
bool LookupTemplateName(
LookupResult &R, Scope *S, CXXScopeSpec &SS, QualType ObjectType,
bool EnteringContext, bool &MemberOfUnknownSpecialization,
RequiredTemplateKind RequiredTemplate = SourceLocation(),
AssumedTemplateKind *ATK = nullptr, bool AllowTypoCorrection = true);
TemplateNameKind isTemplateName(Scope *S,
CXXScopeSpec &SS,
bool hasTemplateKeyword,
const UnqualifiedId &Name,
ParsedType ObjectType,
bool EnteringContext,
TemplateTy &Template,
bool &MemberOfUnknownSpecialization,
bool Disambiguation = false);
/// Try to resolve an undeclared template name as a type template.
///
/// Sets II to the identifier corresponding to the template name, and updates
/// Name to a corresponding (typo-corrected) type template name and TNK to
/// the corresponding kind, if possible.
void ActOnUndeclaredTypeTemplateName(Scope *S, TemplateTy &Name,
TemplateNameKind &TNK,
SourceLocation NameLoc,
IdentifierInfo *&II);
bool resolveAssumedTemplateNameAsType(Scope *S, TemplateName &Name,
SourceLocation NameLoc,
bool Diagnose = true);
/// Determine whether a particular identifier might be the name in a C++1z
/// deduction-guide declaration.
bool isDeductionGuideName(Scope *S, const IdentifierInfo &Name,
SourceLocation NameLoc,
ParsedTemplateTy *Template = nullptr);
bool DiagnoseUnknownTemplateName(const IdentifierInfo &II,
SourceLocation IILoc,
Scope *S,
const CXXScopeSpec *SS,
TemplateTy &SuggestedTemplate,
TemplateNameKind &SuggestedKind);
bool DiagnoseUninstantiableTemplate(SourceLocation PointOfInstantiation,
NamedDecl *Instantiation,
bool InstantiatedFromMember,
const NamedDecl *Pattern,
const NamedDecl *PatternDef,
TemplateSpecializationKind TSK,
bool Complain = true);
void DiagnoseTemplateParameterShadow(SourceLocation Loc, Decl *PrevDecl);
TemplateDecl *AdjustDeclIfTemplate(Decl *&Decl);
NamedDecl *ActOnTypeParameter(Scope *S, bool Typename,
SourceLocation EllipsisLoc,
SourceLocation KeyLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth, unsigned Position,
SourceLocation EqualLoc,
ParsedType DefaultArg, bool HasTypeConstraint);
bool ActOnTypeConstraint(const CXXScopeSpec &SS,
TemplateIdAnnotation *TypeConstraint,
TemplateTypeParmDecl *ConstrainedParameter,
SourceLocation EllipsisLoc);
bool AttachTypeConstraint(NestedNameSpecifierLoc NS,
DeclarationNameInfo NameInfo,
ConceptDecl *NamedConcept,
const TemplateArgumentListInfo *TemplateArgs,
TemplateTypeParmDecl *ConstrainedParameter,
SourceLocation EllipsisLoc);
bool AttachTypeConstraint(AutoTypeLoc TL,
NonTypeTemplateParmDecl *ConstrainedParameter,
SourceLocation EllipsisLoc);
bool RequireStructuralType(QualType T, SourceLocation Loc);
QualType CheckNonTypeTemplateParameterType(TypeSourceInfo *&TSI,
SourceLocation Loc);
QualType CheckNonTypeTemplateParameterType(QualType T, SourceLocation Loc);
NamedDecl *ActOnNonTypeTemplateParameter(Scope *S, Declarator &D,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
Expr *DefaultArg);
NamedDecl *ActOnTemplateTemplateParameter(Scope *S,
SourceLocation TmpLoc,
TemplateParameterList *Params,
SourceLocation EllipsisLoc,
IdentifierInfo *ParamName,
SourceLocation ParamNameLoc,
unsigned Depth,
unsigned Position,
SourceLocation EqualLoc,
ParsedTemplateArgument DefaultArg);
TemplateParameterList *
ActOnTemplateParameterList(unsigned Depth,
SourceLocation ExportLoc,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ArrayRef<NamedDecl *> Params,
SourceLocation RAngleLoc,
Expr *RequiresClause);
/// The context in which we are checking a template parameter list.
enum TemplateParamListContext {
TPC_ClassTemplate,
TPC_VarTemplate,
TPC_FunctionTemplate,
TPC_ClassTemplateMember,
TPC_FriendClassTemplate,
TPC_FriendFunctionTemplate,
TPC_FriendFunctionTemplateDefinition,
TPC_TypeAliasTemplate
};
bool CheckTemplateParameterList(TemplateParameterList *NewParams,
TemplateParameterList *OldParams,
TemplateParamListContext TPC,
SkipBodyInfo *SkipBody = nullptr);
TemplateParameterList *MatchTemplateParametersToScopeSpecifier(
SourceLocation DeclStartLoc, SourceLocation DeclLoc,
const CXXScopeSpec &SS, TemplateIdAnnotation *TemplateId,
ArrayRef<TemplateParameterList *> ParamLists,
bool IsFriend, bool &IsMemberSpecialization, bool &Invalid,
bool SuppressDiagnostic = false);
DeclResult CheckClassTemplate(
Scope *S, unsigned TagSpec, TagUseKind TUK, SourceLocation KWLoc,
CXXScopeSpec &SS, IdentifierInfo *Name, SourceLocation NameLoc,
const ParsedAttributesView &Attr, TemplateParameterList *TemplateParams,
AccessSpecifier AS, SourceLocation ModulePrivateLoc,
SourceLocation FriendLoc, unsigned NumOuterTemplateParamLists,
TemplateParameterList **OuterTemplateParamLists,
SkipBodyInfo *SkipBody = nullptr);
TemplateArgumentLoc getTrivialTemplateArgumentLoc(const TemplateArgument &Arg,
QualType NTTPType,
SourceLocation Loc);
/// Get a template argument mapping the given template parameter to itself,
/// e.g. for X in \c template<int X>, this would return an expression template
/// argument referencing X.
TemplateArgumentLoc getIdentityTemplateArgumentLoc(NamedDecl *Param,
SourceLocation Location);
void translateTemplateArguments(const ASTTemplateArgsPtr &In,
TemplateArgumentListInfo &Out);
ParsedTemplateArgument ActOnTemplateTypeArgument(TypeResult ParsedType);
void NoteAllFoundTemplates(TemplateName Name);
QualType CheckTemplateIdType(TemplateName Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs);
TypeResult
ActOnTemplateIdType(Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
TemplateTy Template, IdentifierInfo *TemplateII,
SourceLocation TemplateIILoc, SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs, SourceLocation RAngleLoc,
bool IsCtorOrDtorName = false, bool IsClassName = false);
/// Parsed an elaborated-type-specifier that refers to a template-id,
/// such as \c class T::template apply<U>.
TypeResult ActOnTagTemplateIdType(TagUseKind TUK,
TypeSpecifierType TagSpec,
SourceLocation TagLoc,
CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
TemplateTy TemplateD,
SourceLocation TemplateLoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgsIn,
SourceLocation RAngleLoc);
DeclResult ActOnVarTemplateSpecialization(
Scope *S, Declarator &D, TypeSourceInfo *DI,
SourceLocation TemplateKWLoc, TemplateParameterList *TemplateParams,
StorageClass SC, bool IsPartialSpecialization);
/// Get the specialization of the given variable template corresponding to
/// the specified argument list, or a null-but-valid result if the arguments
/// are dependent.
DeclResult CheckVarTemplateId(VarTemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation TemplateNameLoc,
const TemplateArgumentListInfo &TemplateArgs);
/// Form a reference to the specialization of the given variable template
/// corresponding to the specified argument list, or a null-but-valid result
/// if the arguments are dependent.
ExprResult CheckVarTemplateId(const CXXScopeSpec &SS,
const DeclarationNameInfo &NameInfo,
VarTemplateDecl *Template,
SourceLocation TemplateLoc,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult
CheckConceptTemplateId(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &ConceptNameInfo,
NamedDecl *FoundDecl, ConceptDecl *NamedConcept,
const TemplateArgumentListInfo *TemplateArgs);
void diagnoseMissingTemplateArguments(TemplateName Name, SourceLocation Loc);
ExprResult BuildTemplateIdExpr(const CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
LookupResult &R,
bool RequiresADL,
const TemplateArgumentListInfo *TemplateArgs);
ExprResult BuildQualifiedTemplateIdExpr(CXXScopeSpec &SS,
SourceLocation TemplateKWLoc,
const DeclarationNameInfo &NameInfo,
const TemplateArgumentListInfo *TemplateArgs);
TemplateNameKind ActOnTemplateName(
Scope *S, CXXScopeSpec &SS, SourceLocation TemplateKWLoc,
const UnqualifiedId &Name, ParsedType ObjectType, bool EnteringContext,
TemplateTy &Template, bool AllowInjectedClassName = false);
DeclResult ActOnClassTemplateSpecialization(
Scope *S, unsigned TagSpec, TagUseKind TUK, SourceLocation KWLoc,
SourceLocation ModulePrivateLoc, CXXScopeSpec &SS,
TemplateIdAnnotation &TemplateId, const ParsedAttributesView &Attr,
MultiTemplateParamsArg TemplateParameterLists,
SkipBodyInfo *SkipBody = nullptr);
bool CheckTemplatePartialSpecializationArgs(SourceLocation Loc,
TemplateDecl *PrimaryTemplate,
unsigned NumExplicitArgs,
ArrayRef<TemplateArgument> Args);
void CheckTemplatePartialSpecialization(
ClassTemplatePartialSpecializationDecl *Partial);
void CheckTemplatePartialSpecialization(
VarTemplatePartialSpecializationDecl *Partial);
Decl *ActOnTemplateDeclarator(Scope *S,
MultiTemplateParamsArg TemplateParameterLists,
Declarator &D);
bool
CheckSpecializationInstantiationRedecl(SourceLocation NewLoc,
TemplateSpecializationKind NewTSK,
NamedDecl *PrevDecl,
TemplateSpecializationKind PrevTSK,
SourceLocation PrevPtOfInstantiation,
bool &SuppressNew);
bool CheckDependentFunctionTemplateSpecialization(FunctionDecl *FD,
const TemplateArgumentListInfo &ExplicitTemplateArgs,
LookupResult &Previous);
bool CheckFunctionTemplateSpecialization(
FunctionDecl *FD, TemplateArgumentListInfo *ExplicitTemplateArgs,
LookupResult &Previous, bool QualifiedFriend = false);
bool CheckMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
void CompleteMemberSpecialization(NamedDecl *Member, LookupResult &Previous);
DeclResult ActOnExplicitInstantiation(
Scope *S, SourceLocation ExternLoc, SourceLocation TemplateLoc,
unsigned TagSpec, SourceLocation KWLoc, const CXXScopeSpec &SS,
TemplateTy Template, SourceLocation TemplateNameLoc,
SourceLocation LAngleLoc, ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc, const ParsedAttributesView &Attr);
DeclResult ActOnExplicitInstantiation(Scope *S, SourceLocation ExternLoc,
SourceLocation TemplateLoc,
unsigned TagSpec, SourceLocation KWLoc,
CXXScopeSpec &SS, IdentifierInfo *Name,
SourceLocation NameLoc,
const ParsedAttributesView &Attr);
DeclResult ActOnExplicitInstantiation(Scope *S,
SourceLocation ExternLoc,
SourceLocation TemplateLoc,
Declarator &D);
TemplateArgumentLoc
SubstDefaultTemplateArgumentIfAvailable(TemplateDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
Decl *Param,
SmallVectorImpl<TemplateArgument>
&Converted,
bool &HasDefaultArg);
/// Specifies the context in which a particular template
/// argument is being checked.
enum CheckTemplateArgumentKind {
/// The template argument was specified in the code or was
/// instantiated with some deduced template arguments.
CTAK_Specified,
/// The template argument was deduced via template argument
/// deduction.
CTAK_Deduced,
/// The template argument was deduced from an array bound
/// via template argument deduction.
CTAK_DeducedFromArrayBound
};
bool CheckTemplateArgument(NamedDecl *Param,
TemplateArgumentLoc &Arg,
NamedDecl *Template,
SourceLocation TemplateLoc,
SourceLocation RAngleLoc,
unsigned ArgumentPackIndex,
SmallVectorImpl<TemplateArgument> &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
/// Check that the given template arguments can be be provided to
/// the given template, converting the arguments along the way.
///
/// \param Template The template to which the template arguments are being
/// provided.
///
/// \param TemplateLoc The location of the template name in the source.
///
/// \param TemplateArgs The list of template arguments. If the template is
/// a template template parameter, this function may extend the set of
/// template arguments to also include substituted, defaulted template
/// arguments.
///
/// \param PartialTemplateArgs True if the list of template arguments is
/// intentionally partial, e.g., because we're checking just the initial
/// set of template arguments.
///
/// \param Converted Will receive the converted, canonicalized template
/// arguments.
///
/// \param UpdateArgsWithConversions If \c true, update \p TemplateArgs to
/// contain the converted forms of the template arguments as written.
/// Otherwise, \p TemplateArgs will not be modified.
///
/// \param ConstraintsNotSatisfied If provided, and an error occured, will
/// receive true if the cause for the error is the associated constraints of
/// the template not being satisfied by the template arguments.
///
/// \returns true if an error occurred, false otherwise.
bool CheckTemplateArgumentList(TemplateDecl *Template,
SourceLocation TemplateLoc,
TemplateArgumentListInfo &TemplateArgs,
bool PartialTemplateArgs,
SmallVectorImpl<TemplateArgument> &Converted,
bool UpdateArgsWithConversions = true,
bool *ConstraintsNotSatisfied = nullptr);
bool CheckTemplateTypeArgument(TemplateTypeParmDecl *Param,
TemplateArgumentLoc &Arg,
SmallVectorImpl<TemplateArgument> &Converted);
bool CheckTemplateArgument(TemplateTypeParmDecl *Param,
TypeSourceInfo *Arg);
ExprResult CheckTemplateArgument(NonTypeTemplateParmDecl *Param,
QualType InstantiatedParamType, Expr *Arg,
TemplateArgument &Converted,
CheckTemplateArgumentKind CTAK = CTAK_Specified);
bool CheckTemplateTemplateArgument(TemplateTemplateParmDecl *Param,
TemplateParameterList *Params,
TemplateArgumentLoc &Arg);
ExprResult
BuildExpressionFromDeclTemplateArgument(const TemplateArgument &Arg,
QualType ParamType,
SourceLocation Loc);
ExprResult
BuildExpressionFromIntegralTemplateArgument(const TemplateArgument &Arg,
SourceLocation Loc);
/// Enumeration describing how template parameter lists are compared
/// for equality.
enum TemplateParameterListEqualKind {
/// We are matching the template parameter lists of two templates
/// that might be redeclarations.
///
/// \code
/// template<typename T> struct X;
/// template<typename T> struct X;
/// \endcode
TPL_TemplateMatch,
/// We are matching the template parameter lists of two template
/// template parameters as part of matching the template parameter lists
/// of two templates that might be redeclarations.
///
/// \code
/// template<template<int I> class TT> struct X;
/// template<template<int Value> class Other> struct X;
/// \endcode
TPL_TemplateTemplateParmMatch,
/// We are matching the template parameter lists of a template
/// template argument against the template parameter lists of a template
/// template parameter.
///
/// \code
/// template<template<int Value> class Metafun> struct X;
/// template<int Value> struct integer_c;
/// X<integer_c> xic;
/// \endcode
TPL_TemplateTemplateArgumentMatch
};
bool TemplateParameterListsAreEqual(TemplateParameterList *New,
TemplateParameterList *Old,
bool Complain,
TemplateParameterListEqualKind Kind,
SourceLocation TemplateArgLoc
= SourceLocation());
bool CheckTemplateDeclScope(Scope *S, TemplateParameterList *TemplateParams);
/// Called when the parser has parsed a C++ typename
/// specifier, e.g., "typename T::type".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param II the identifier we're retrieving (e.g., 'type' in the example).
/// \param IdLoc the location of the identifier.
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS, const IdentifierInfo &II,
SourceLocation IdLoc);
/// Called when the parser has parsed a C++ typename
/// specifier that ends in a template-id, e.g.,
/// "typename MetaFun::template apply<T1, T2>".
///
/// \param S The scope in which this typename type occurs.
/// \param TypenameLoc the location of the 'typename' keyword
/// \param SS the nested-name-specifier following the typename (e.g., 'T::').
/// \param TemplateLoc the location of the 'template' keyword, if any.
/// \param TemplateName The template name.
/// \param TemplateII The identifier used to name the template.
/// \param TemplateIILoc The location of the template name.
/// \param LAngleLoc The location of the opening angle bracket ('<').
/// \param TemplateArgs The template arguments.
/// \param RAngleLoc The location of the closing angle bracket ('>').
TypeResult
ActOnTypenameType(Scope *S, SourceLocation TypenameLoc,
const CXXScopeSpec &SS,
SourceLocation TemplateLoc,
TemplateTy TemplateName,
IdentifierInfo *TemplateII,
SourceLocation TemplateIILoc,
SourceLocation LAngleLoc,
ASTTemplateArgsPtr TemplateArgs,
SourceLocation RAngleLoc);
QualType CheckTypenameType(ElaboratedTypeKeyword Keyword,
SourceLocation KeywordLoc,
NestedNameSpecifierLoc QualifierLoc,
const IdentifierInfo &II,
SourceLocation IILoc,
TypeSourceInfo **TSI,
bool DeducedTSTContext);
QualType CheckTypenameType(ElaboratedTypeKeyword Keyword,
SourceLocation KeywordLoc,
NestedNameSpecifierLoc QualifierLoc,
const IdentifierInfo &II,
SourceLocation IILoc,
bool DeducedTSTContext = true);
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++ Concepts
//===--------------------------------------------------------------------===//
Decl *ActOnConceptDefinition(
Scope *S, MultiTemplateParamsArg TemplateParameterLists,
IdentifierInfo *Name, SourceLocation NameLoc, Expr *ConstraintExpr);
RequiresExprBodyDecl *
ActOnStartRequiresExpr(SourceLocation RequiresKWLoc,
ArrayRef<ParmVarDecl *> LocalParameters,
Scope *BodyScope);
void ActOnFinishRequiresExpr();
concepts::Requirement *ActOnSimpleRequirement(Expr *E);
concepts::Requirement *ActOnTypeRequirement(
SourceLocation TypenameKWLoc, CXXScopeSpec &SS, SourceLocation NameLoc,
IdentifierInfo *TypeName, TemplateIdAnnotation *TemplateId);
concepts::Requirement *ActOnCompoundRequirement(Expr *E,
SourceLocation NoexceptLoc);
concepts::Requirement *
ActOnCompoundRequirement(
Expr *E, SourceLocation NoexceptLoc, CXXScopeSpec &SS,
TemplateIdAnnotation *TypeConstraint, unsigned Depth);
concepts::Requirement *ActOnNestedRequirement(Expr *Constraint);
concepts::ExprRequirement *
BuildExprRequirement(
Expr *E, bool IsSatisfied, SourceLocation NoexceptLoc,
concepts::ExprRequirement::ReturnTypeRequirement ReturnTypeRequirement);
concepts::ExprRequirement *
BuildExprRequirement(
concepts::Requirement::SubstitutionDiagnostic *ExprSubstDiag,
bool IsSatisfied, SourceLocation NoexceptLoc,
concepts::ExprRequirement::ReturnTypeRequirement ReturnTypeRequirement);
concepts::TypeRequirement *BuildTypeRequirement(TypeSourceInfo *Type);
concepts::TypeRequirement *
BuildTypeRequirement(
concepts::Requirement::SubstitutionDiagnostic *SubstDiag);
concepts::NestedRequirement *BuildNestedRequirement(Expr *E);
concepts::NestedRequirement *
BuildNestedRequirement(
concepts::Requirement::SubstitutionDiagnostic *SubstDiag);
ExprResult ActOnRequiresExpr(SourceLocation RequiresKWLoc,
RequiresExprBodyDecl *Body,
ArrayRef<ParmVarDecl *> LocalParameters,
ArrayRef<concepts::Requirement *> Requirements,
SourceLocation ClosingBraceLoc);
//===--------------------------------------------------------------------===//
// C++ Variadic Templates (C++0x [temp.variadic])
//===--------------------------------------------------------------------===//
/// Determine whether an unexpanded parameter pack might be permitted in this
/// location. Useful for error recovery.
bool isUnexpandedParameterPackPermitted();
/// The context in which an unexpanded parameter pack is
/// being diagnosed.
///
/// Note that the values of this enumeration line up with the first
/// argument to the \c err_unexpanded_parameter_pack diagnostic.
enum UnexpandedParameterPackContext {
/// An arbitrary expression.
UPPC_Expression = 0,
/// The base type of a class type.
UPPC_BaseType,
/// The type of an arbitrary declaration.
UPPC_DeclarationType,
/// The type of a data member.
UPPC_DataMemberType,
/// The size of a bit-field.
UPPC_BitFieldWidth,
/// The expression in a static assertion.
UPPC_StaticAssertExpression,
/// The fixed underlying type of an enumeration.
UPPC_FixedUnderlyingType,
/// The enumerator value.
UPPC_EnumeratorValue,
/// A using declaration.
UPPC_UsingDeclaration,
/// A friend declaration.
UPPC_FriendDeclaration,
/// A declaration qualifier.
UPPC_DeclarationQualifier,
/// An initializer.
UPPC_Initializer,
/// A default argument.
UPPC_DefaultArgument,
/// The type of a non-type template parameter.
UPPC_NonTypeTemplateParameterType,
/// The type of an exception.
UPPC_ExceptionType,
/// Partial specialization.
UPPC_PartialSpecialization,
/// Microsoft __if_exists.
UPPC_IfExists,
/// Microsoft __if_not_exists.
UPPC_IfNotExists,
/// Lambda expression.
UPPC_Lambda,
/// Block expression.
UPPC_Block,
/// A type constraint.
UPPC_TypeConstraint,
// A requirement in a requires-expression.
UPPC_Requirement,
};
/// Diagnose unexpanded parameter packs.
///
/// \param Loc The location at which we should emit the diagnostic.
///
/// \param UPPC The context in which we are diagnosing unexpanded
/// parameter packs.
///
/// \param Unexpanded the set of unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPacks(SourceLocation Loc,
UnexpandedParameterPackContext UPPC,
ArrayRef<UnexpandedParameterPack> Unexpanded);
/// If the given type contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The source location where a diagnostc should be emitted.
///
/// \param T The type that is being checked for unexpanded parameter
/// packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc, TypeSourceInfo *T,
UnexpandedParameterPackContext UPPC);
/// If the given expression contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param E The expression that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(Expr *E,
UnexpandedParameterPackContext UPPC = UPPC_Expression);
/// If the given requirees-expression contains an unexpanded reference to one
/// of its own parameter packs, diagnose the error.
///
/// \param RE The requiress-expression that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPackInRequiresExpr(RequiresExpr *RE);
/// If the given nested-name-specifier contains an unexpanded
/// parameter pack, diagnose the error.
///
/// \param SS The nested-name-specifier that is being checked for
/// unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const CXXScopeSpec &SS,
UnexpandedParameterPackContext UPPC);
/// If the given name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param NameInfo The name (with source location information) that
/// is being checked for unexpanded parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(const DeclarationNameInfo &NameInfo,
UnexpandedParameterPackContext UPPC);
/// If the given template name contains an unexpanded parameter pack,
/// diagnose the error.
///
/// \param Loc The location of the template name.
///
/// \param Template The template name that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(SourceLocation Loc,
TemplateName Template,
UnexpandedParameterPackContext UPPC);
/// If the given template argument contains an unexpanded parameter
/// pack, diagnose the error.
///
/// \param Arg The template argument that is being checked for unexpanded
/// parameter packs.
///
/// \returns true if an error occurred, false otherwise.
bool DiagnoseUnexpandedParameterPack(TemplateArgumentLoc Arg,
UnexpandedParameterPackContext UPPC);
/// Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgument Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// template argument.
///
/// \param Arg The template argument that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TemplateArgumentLoc Arg,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param T The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(QualType T,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// type.
///
/// \param TL The type that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(TypeLoc TL,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// nested-name-specifier.
///
/// \param NNS The nested-name-specifier that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(NestedNameSpecifierLoc NNS,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Collect the set of unexpanded parameter packs within the given
/// name.
///
/// \param NameInfo The name that will be traversed to find
/// unexpanded parameter packs.
void collectUnexpandedParameterPacks(const DeclarationNameInfo &NameInfo,
SmallVectorImpl<UnexpandedParameterPack> &Unexpanded);
/// Invoked when parsing a template argument followed by an
/// ellipsis, which creates a pack expansion.
///
/// \param Arg The template argument preceding the ellipsis, which
/// may already be invalid.
///
/// \param EllipsisLoc The location of the ellipsis.
ParsedTemplateArgument ActOnPackExpansion(const ParsedTemplateArgument &Arg,
SourceLocation EllipsisLoc);
/// Invoked when parsing a type followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Type The type preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
TypeResult ActOnPackExpansion(ParsedType Type, SourceLocation EllipsisLoc);
/// Construct a pack expansion type from the pattern of the pack
/// expansion.
TypeSourceInfo *CheckPackExpansion(TypeSourceInfo *Pattern,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Construct a pack expansion type from the pattern of the pack
/// expansion.
QualType CheckPackExpansion(QualType Pattern,
SourceRange PatternRange,
SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult ActOnPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc);
/// Invoked when parsing an expression followed by an ellipsis, which
/// creates a pack expansion.
///
/// \param Pattern The expression preceding the ellipsis, which will become
/// the pattern of the pack expansion.
///
/// \param EllipsisLoc The location of the ellipsis.
ExprResult CheckPackExpansion(Expr *Pattern, SourceLocation EllipsisLoc,
Optional<unsigned> NumExpansions);
/// Determine whether we could expand a pack expansion with the
/// given set of parameter packs into separate arguments by repeatedly
/// transforming the pattern.
///
/// \param EllipsisLoc The location of the ellipsis that identifies the
/// pack expansion.
///
/// \param PatternRange The source range that covers the entire pattern of
/// the pack expansion.
///
/// \param Unexpanded The set of unexpanded parameter packs within the
/// pattern.
///
/// \param ShouldExpand Will be set to \c true if the transformer should
/// expand the corresponding pack expansions into separate arguments. When
/// set, \c NumExpansions must also be set.
///
/// \param RetainExpansion Whether the caller should add an unexpanded
/// pack expansion after all of the expanded arguments. This is used
/// when extending explicitly-specified template argument packs per
/// C++0x [temp.arg.explicit]p9.
///
/// \param NumExpansions The number of separate arguments that will be in
/// the expanded form of the corresponding pack expansion. This is both an
/// input and an output parameter, which can be set by the caller if the
/// number of expansions is known a priori (e.g., due to a prior substitution)
/// and will be set by the callee when the number of expansions is known.
/// The callee must set this value when \c ShouldExpand is \c true; it may
/// set this value in other cases.
///
/// \returns true if an error occurred (e.g., because the parameter packs
/// are to be instantiated with arguments of different lengths), false
/// otherwise. If false, \c ShouldExpand (and possibly \c NumExpansions)
/// must be set.
bool CheckParameterPacksForExpansion(SourceLocation EllipsisLoc,
SourceRange PatternRange,
ArrayRef<UnexpandedParameterPack> Unexpanded,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool &ShouldExpand,
bool &RetainExpansion,
Optional<unsigned> &NumExpansions);
/// Determine the number of arguments in the given pack expansion
/// type.
///
/// This routine assumes that the number of arguments in the expansion is
/// consistent across all of the unexpanded parameter packs in its pattern.
///
/// Returns an empty Optional if the type can't be expanded.
Optional<unsigned> getNumArgumentsInExpansion(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Determine whether the given declarator contains any unexpanded
/// parameter packs.
///
/// This routine is used by the parser to disambiguate function declarators
/// with an ellipsis prior to the ')', e.g.,
///
/// \code
/// void f(T...);
/// \endcode
///
/// To determine whether we have an (unnamed) function parameter pack or
/// a variadic function.
///
/// \returns true if the declarator contains any unexpanded parameter packs,
/// false otherwise.
bool containsUnexpandedParameterPacks(Declarator &D);
/// Returns the pattern of the pack expansion for a template argument.
///
/// \param OrigLoc The template argument to expand.
///
/// \param Ellipsis Will be set to the location of the ellipsis.
///
/// \param NumExpansions Will be set to the number of expansions that will
/// be generated from this pack expansion, if known a priori.
TemplateArgumentLoc getTemplateArgumentPackExpansionPattern(
TemplateArgumentLoc OrigLoc,
SourceLocation &Ellipsis,
Optional<unsigned> &NumExpansions) const;
/// Given a template argument that contains an unexpanded parameter pack, but
/// which has already been substituted, attempt to determine the number of
/// elements that will be produced once this argument is fully-expanded.
///
/// This is intended for use when transforming 'sizeof...(Arg)' in order to
/// avoid actually expanding the pack where possible.
Optional<unsigned> getFullyPackExpandedSize(TemplateArgument Arg);
//===--------------------------------------------------------------------===//
// C++ Template Argument Deduction (C++ [temp.deduct])
//===--------------------------------------------------------------------===//
/// Adjust the type \p ArgFunctionType to match the calling convention,
/// noreturn, and optionally the exception specification of \p FunctionType.
/// Deduction often wants to ignore these properties when matching function
/// types.
QualType adjustCCAndNoReturn(QualType ArgFunctionType, QualType FunctionType,
bool AdjustExceptionSpec = false);
/// Describes the result of template argument deduction.
///
/// The TemplateDeductionResult enumeration describes the result of
/// template argument deduction, as returned from
/// DeduceTemplateArguments(). The separate TemplateDeductionInfo
/// structure provides additional information about the results of
/// template argument deduction, e.g., the deduced template argument
/// list (if successful) or the specific template parameters or
/// deduced arguments that were involved in the failure.
enum TemplateDeductionResult {
/// Template argument deduction was successful.
TDK_Success = 0,
/// The declaration was invalid; do nothing.
TDK_Invalid,
/// Template argument deduction exceeded the maximum template
/// instantiation depth (which has already been diagnosed).
TDK_InstantiationDepth,
/// Template argument deduction did not deduce a value
/// for every template parameter.
TDK_Incomplete,
/// Template argument deduction did not deduce a value for every
/// expansion of an expanded template parameter pack.
TDK_IncompletePack,
/// Template argument deduction produced inconsistent
/// deduced values for the given template parameter.
TDK_Inconsistent,
/// Template argument deduction failed due to inconsistent
/// cv-qualifiers on a template parameter type that would
/// otherwise be deduced, e.g., we tried to deduce T in "const T"
/// but were given a non-const "X".
TDK_Underqualified,
/// Substitution of the deduced template argument values
/// resulted in an error.
TDK_SubstitutionFailure,
/// After substituting deduced template arguments, a dependent
/// parameter type did not match the corresponding argument.
TDK_DeducedMismatch,
/// After substituting deduced template arguments, an element of
/// a dependent parameter type did not match the corresponding element
/// of the corresponding argument (when deducing from an initializer list).
TDK_DeducedMismatchNested,
/// A non-depnedent component of the parameter did not match the
/// corresponding component of the argument.
TDK_NonDeducedMismatch,
/// When performing template argument deduction for a function
/// template, there were too many call arguments.
TDK_TooManyArguments,
/// When performing template argument deduction for a function
/// template, there were too few call arguments.
TDK_TooFewArguments,
/// The explicitly-specified template arguments were not valid
/// template arguments for the given template.
TDK_InvalidExplicitArguments,
/// Checking non-dependent argument conversions failed.
TDK_NonDependentConversionFailure,
/// The deduced arguments did not satisfy the constraints associated
/// with the template.
TDK_ConstraintsNotSatisfied,
/// Deduction failed; that's all we know.
TDK_MiscellaneousDeductionFailure,
/// CUDA Target attributes do not match.
TDK_CUDATargetMismatch
};
TemplateDeductionResult
DeduceTemplateArguments(ClassTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(VarTemplatePartialSpecializationDecl *Partial,
const TemplateArgumentList &TemplateArgs,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult SubstituteExplicitTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo &ExplicitTemplateArgs,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
SmallVectorImpl<QualType> &ParamTypes, QualType *FunctionType,
sema::TemplateDeductionInfo &Info);
/// brief A function argument from which we performed template argument
// deduction for a call.
struct OriginalCallArg {
OriginalCallArg(QualType OriginalParamType, bool DecomposedParam,
unsigned ArgIdx, QualType OriginalArgType)
: OriginalParamType(OriginalParamType),
DecomposedParam(DecomposedParam), ArgIdx(ArgIdx),
OriginalArgType(OriginalArgType) {}
QualType OriginalParamType;
bool DecomposedParam;
unsigned ArgIdx;
QualType OriginalArgType;
};
TemplateDeductionResult FinishTemplateArgumentDeduction(
FunctionTemplateDecl *FunctionTemplate,
SmallVectorImpl<DeducedTemplateArgument> &Deduced,
unsigned NumExplicitlySpecified, FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
SmallVectorImpl<OriginalCallArg> const *OriginalCallArgs = nullptr,
bool PartialOverloading = false,
llvm::function_ref<bool()> CheckNonDependent = []{ return false; });
TemplateDeductionResult DeduceTemplateArguments(
FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs, ArrayRef<Expr *> Args,
FunctionDecl *&Specialization, sema::TemplateDeductionInfo &Info,
bool PartialOverloading,
llvm::function_ref<bool(ArrayRef<QualType>)> CheckNonDependent);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
QualType ArgFunctionType,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
QualType ToType,
CXXConversionDecl *&Specialization,
sema::TemplateDeductionInfo &Info);
TemplateDeductionResult
DeduceTemplateArguments(FunctionTemplateDecl *FunctionTemplate,
TemplateArgumentListInfo *ExplicitTemplateArgs,
FunctionDecl *&Specialization,
sema::TemplateDeductionInfo &Info,
bool IsAddressOfFunction = false);
/// Substitute Replacement for \p auto in \p TypeWithAuto
QualType SubstAutoType(QualType TypeWithAuto, QualType Replacement);
/// Substitute Replacement for auto in TypeWithAuto
TypeSourceInfo* SubstAutoTypeSourceInfo(TypeSourceInfo *TypeWithAuto,
QualType Replacement);
/// Completely replace the \c auto in \p TypeWithAuto by
/// \p Replacement. This does not retain any \c auto type sugar.
QualType ReplaceAutoType(QualType TypeWithAuto, QualType Replacement);
TypeSourceInfo *ReplaceAutoTypeSourceInfo(TypeSourceInfo *TypeWithAuto,
QualType Replacement);
/// Result type of DeduceAutoType.
enum DeduceAutoResult {
DAR_Succeeded,
DAR_Failed,
DAR_FailedAlreadyDiagnosed
};
DeduceAutoResult
DeduceAutoType(TypeSourceInfo *AutoType, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None,
bool IgnoreConstraints = false);
DeduceAutoResult
DeduceAutoType(TypeLoc AutoTypeLoc, Expr *&Initializer, QualType &Result,
Optional<unsigned> DependentDeductionDepth = None,
bool IgnoreConstraints = false);
void DiagnoseAutoDeductionFailure(VarDecl *VDecl, Expr *Init);
bool DeduceReturnType(FunctionDecl *FD, SourceLocation Loc,
bool Diagnose = true);
/// Declare implicit deduction guides for a class template if we've
/// not already done so.
void DeclareImplicitDeductionGuides(TemplateDecl *Template,
SourceLocation Loc);
QualType DeduceTemplateSpecializationFromInitializer(
TypeSourceInfo *TInfo, const InitializedEntity &Entity,
const InitializationKind &Kind, MultiExprArg Init);
QualType deduceVarTypeFromInitializer(VarDecl *VDecl, DeclarationName Name,
QualType Type, TypeSourceInfo *TSI,
SourceRange Range, bool DirectInit,
Expr *Init);
TypeLoc getReturnTypeLoc(FunctionDecl *FD) const;
bool DeduceFunctionTypeFromReturnExpr(FunctionDecl *FD,
SourceLocation ReturnLoc,
Expr *&RetExpr, AutoType *AT);
FunctionTemplateDecl *getMoreSpecializedTemplate(
FunctionTemplateDecl *FT1, FunctionTemplateDecl *FT2, SourceLocation Loc,
TemplatePartialOrderingContext TPOC, unsigned NumCallArguments1,
unsigned NumCallArguments2, bool Reversed = false);
UnresolvedSetIterator
getMostSpecialized(UnresolvedSetIterator SBegin, UnresolvedSetIterator SEnd,
TemplateSpecCandidateSet &FailedCandidates,
SourceLocation Loc,
const PartialDiagnostic &NoneDiag,
const PartialDiagnostic &AmbigDiag,
const PartialDiagnostic &CandidateDiag,
bool Complain = true, QualType TargetType = QualType());
ClassTemplatePartialSpecializationDecl *
getMoreSpecializedPartialSpecialization(
ClassTemplatePartialSpecializationDecl *PS1,
ClassTemplatePartialSpecializationDecl *PS2,
SourceLocation Loc);
bool isMoreSpecializedThanPrimary(ClassTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
VarTemplatePartialSpecializationDecl *getMoreSpecializedPartialSpecialization(
VarTemplatePartialSpecializationDecl *PS1,
VarTemplatePartialSpecializationDecl *PS2, SourceLocation Loc);
bool isMoreSpecializedThanPrimary(VarTemplatePartialSpecializationDecl *T,
sema::TemplateDeductionInfo &Info);
bool isTemplateTemplateParameterAtLeastAsSpecializedAs(
TemplateParameterList *PParam, TemplateDecl *AArg, SourceLocation Loc);
void MarkUsedTemplateParameters(const Expr *E, bool OnlyDeduced,
unsigned Depth, llvm::SmallBitVector &Used);
void MarkUsedTemplateParameters(const TemplateArgumentList &TemplateArgs,
bool OnlyDeduced,
unsigned Depth,
llvm::SmallBitVector &Used);
void MarkDeducedTemplateParameters(
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced) {
return MarkDeducedTemplateParameters(Context, FunctionTemplate, Deduced);
}
static void MarkDeducedTemplateParameters(ASTContext &Ctx,
const FunctionTemplateDecl *FunctionTemplate,
llvm::SmallBitVector &Deduced);
//===--------------------------------------------------------------------===//
// C++ Template Instantiation
//
MultiLevelTemplateArgumentList
getTemplateInstantiationArgs(NamedDecl *D,
const TemplateArgumentList *Innermost = nullptr,
bool RelativeToPrimary = false,
const FunctionDecl *Pattern = nullptr);
/// A context in which code is being synthesized (where a source location
/// alone is not sufficient to identify the context). This covers template
/// instantiation and various forms of implicitly-generated functions.
struct CodeSynthesisContext {
/// The kind of template instantiation we are performing
enum SynthesisKind {
/// We are instantiating a template declaration. The entity is
/// the declaration we're instantiating (e.g., a CXXRecordDecl).
TemplateInstantiation,
/// We are instantiating a default argument for a template
/// parameter. The Entity is the template parameter whose argument is
/// being instantiated, the Template is the template, and the
/// TemplateArgs/NumTemplateArguments provide the template arguments as
/// specified.
DefaultTemplateArgumentInstantiation,
/// We are instantiating a default argument for a function.
/// The Entity is the ParmVarDecl, and TemplateArgs/NumTemplateArgs
/// provides the template arguments as specified.
DefaultFunctionArgumentInstantiation,
/// We are substituting explicit template arguments provided for
/// a function template. The entity is a FunctionTemplateDecl.
ExplicitTemplateArgumentSubstitution,
/// We are substituting template argument determined as part of
/// template argument deduction for either a class template
/// partial specialization or a function template. The
/// Entity is either a {Class|Var}TemplatePartialSpecializationDecl or
/// a TemplateDecl.
DeducedTemplateArgumentSubstitution,
/// We are substituting prior template arguments into a new
/// template parameter. The template parameter itself is either a
/// NonTypeTemplateParmDecl or a TemplateTemplateParmDecl.
PriorTemplateArgumentSubstitution,
/// We are checking the validity of a default template argument that
/// has been used when naming a template-id.
DefaultTemplateArgumentChecking,
/// We are computing the exception specification for a defaulted special
/// member function.
ExceptionSpecEvaluation,
/// We are instantiating the exception specification for a function
/// template which was deferred until it was needed.
ExceptionSpecInstantiation,
/// We are instantiating a requirement of a requires expression.
RequirementInstantiation,
/// We are checking the satisfaction of a nested requirement of a requires
/// expression.
NestedRequirementConstraintsCheck,
/// We are declaring an implicit special member function.
DeclaringSpecialMember,
/// We are declaring an implicit 'operator==' for a defaulted
/// 'operator<=>'.
DeclaringImplicitEqualityComparison,
/// We are defining a synthesized function (such as a defaulted special
/// member).
DefiningSynthesizedFunction,
// We are checking the constraints associated with a constrained entity or
// the constraint expression of a concept. This includes the checks that
// atomic constraints have the type 'bool' and that they can be constant
// evaluated.
ConstraintsCheck,
// We are substituting template arguments into a constraint expression.
ConstraintSubstitution,
// We are normalizing a constraint expression.
ConstraintNormalization,
// We are substituting into the parameter mapping of an atomic constraint
// during normalization.
ParameterMappingSubstitution,
/// We are rewriting a comparison operator in terms of an operator<=>.
RewritingOperatorAsSpaceship,
/// We are initializing a structured binding.
InitializingStructuredBinding,
/// We are marking a class as __dllexport.
MarkingClassDllexported,
/// Added for Template instantiation observation.
/// Memoization means we are _not_ instantiating a template because
/// it is already instantiated (but we entered a context where we
/// would have had to if it was not already instantiated).
Memoization
} Kind;
/// Was the enclosing context a non-instantiation SFINAE context?
bool SavedInNonInstantiationSFINAEContext;
/// The point of instantiation or synthesis within the source code.
SourceLocation PointOfInstantiation;
/// The entity that is being synthesized.
Decl *Entity;
/// The template (or partial specialization) in which we are
/// performing the instantiation, for substitutions of prior template
/// arguments.
NamedDecl *Template;
/// The list of template arguments we are substituting, if they
/// are not part of the entity.
const TemplateArgument *TemplateArgs;
// FIXME: Wrap this union around more members, or perhaps store the
// kind-specific members in the RAII object owning the context.
union {
/// The number of template arguments in TemplateArgs.
unsigned NumTemplateArgs;
/// The special member being declared or defined.
CXXSpecialMember SpecialMember;
};
ArrayRef<TemplateArgument> template_arguments() const {
assert(Kind != DeclaringSpecialMember);
return {TemplateArgs, NumTemplateArgs};
}
/// The template deduction info object associated with the
/// substitution or checking of explicit or deduced template arguments.
sema::TemplateDeductionInfo *DeductionInfo;
/// The source range that covers the construct that cause
/// the instantiation, e.g., the template-id that causes a class
/// template instantiation.
SourceRange InstantiationRange;
CodeSynthesisContext()
: Kind(TemplateInstantiation),
SavedInNonInstantiationSFINAEContext(false), Entity(nullptr),
Template(nullptr), TemplateArgs(nullptr), NumTemplateArgs(0),
DeductionInfo(nullptr) {}
/// Determines whether this template is an actual instantiation
/// that should be counted toward the maximum instantiation depth.
bool isInstantiationRecord() const;
};
/// List of active code synthesis contexts.
///
/// This vector is treated as a stack. As synthesis of one entity requires
/// synthesis of another, additional contexts are pushed onto the stack.
SmallVector<CodeSynthesisContext, 16> CodeSynthesisContexts;
/// Specializations whose definitions are currently being instantiated.
llvm::DenseSet<std::pair<Decl *, unsigned>> InstantiatingSpecializations;
/// Non-dependent types used in templates that have already been instantiated
/// by some template instantiation.
llvm::DenseSet<QualType> InstantiatedNonDependentTypes;
/// Extra modules inspected when performing a lookup during a template
/// instantiation. Computed lazily.
SmallVector<Module*, 16> CodeSynthesisContextLookupModules;
/// Cache of additional modules that should be used for name lookup
/// within the current template instantiation. Computed lazily; use
/// getLookupModules() to get a complete set.
llvm::DenseSet<Module*> LookupModulesCache;
/// Get the set of additional modules that should be checked during
/// name lookup. A module and its imports become visible when instanting a
/// template defined within it.
llvm::DenseSet<Module*> &getLookupModules();
/// Map from the most recent declaration of a namespace to the most
/// recent visible declaration of that namespace.
llvm::DenseMap<NamedDecl*, NamedDecl*> VisibleNamespaceCache;
/// Whether we are in a SFINAE context that is not associated with
/// template instantiation.
///
/// This is used when setting up a SFINAE trap (\c see SFINAETrap) outside
/// of a template instantiation or template argument deduction.
bool InNonInstantiationSFINAEContext;
/// The number of \p CodeSynthesisContexts that are not template
/// instantiations and, therefore, should not be counted as part of the
/// instantiation depth.
///
/// When the instantiation depth reaches the user-configurable limit
/// \p LangOptions::InstantiationDepth we will abort instantiation.
// FIXME: Should we have a similar limit for other forms of synthesis?
unsigned NonInstantiationEntries;
/// The depth of the context stack at the point when the most recent
/// error or warning was produced.
///
/// This value is used to suppress printing of redundant context stacks
/// when there are multiple errors or warnings in the same instantiation.
// FIXME: Does this belong in Sema? It's tough to implement it anywhere else.
unsigned LastEmittedCodeSynthesisContextDepth = 0;
/// The template instantiation callbacks to trace or track
/// instantiations (objects can be chained).
///
/// This callbacks is used to print, trace or track template
/// instantiations as they are being constructed.
std::vector<std::unique_ptr<TemplateInstantiationCallback>>
TemplateInstCallbacks;
/// The current index into pack expansion arguments that will be
/// used for substitution of parameter packs.
///
/// The pack expansion index will be -1 to indicate that parameter packs
/// should be instantiated as themselves. Otherwise, the index specifies
/// which argument within the parameter pack will be used for substitution.
int ArgumentPackSubstitutionIndex;
/// RAII object used to change the argument pack substitution index
/// within a \c Sema object.
///
/// See \c ArgumentPackSubstitutionIndex for more information.
class ArgumentPackSubstitutionIndexRAII {
Sema &Self;
int OldSubstitutionIndex;
public:
ArgumentPackSubstitutionIndexRAII(Sema &Self, int NewSubstitutionIndex)
: Self(Self), OldSubstitutionIndex(Self.ArgumentPackSubstitutionIndex) {
Self.ArgumentPackSubstitutionIndex = NewSubstitutionIndex;
}
~ArgumentPackSubstitutionIndexRAII() {
Self.ArgumentPackSubstitutionIndex = OldSubstitutionIndex;
}
};
friend class ArgumentPackSubstitutionRAII;
/// For each declaration that involved template argument deduction, the
/// set of diagnostics that were suppressed during that template argument
/// deduction.
///
/// FIXME: Serialize this structure to the AST file.
typedef llvm::DenseMap<Decl *, SmallVector<PartialDiagnosticAt, 1> >
SuppressedDiagnosticsMap;
SuppressedDiagnosticsMap SuppressedDiagnostics;
/// A stack object to be created when performing template
/// instantiation.
///
/// Construction of an object of type \c InstantiatingTemplate
/// pushes the current instantiation onto the stack of active
/// instantiations. If the size of this stack exceeds the maximum
/// number of recursive template instantiations, construction
/// produces an error and evaluates true.
///
/// Destruction of this object will pop the named instantiation off
/// the stack.
struct InstantiatingTemplate {
/// Note that we are instantiating a class template,
/// function template, variable template, alias template,
/// or a member thereof.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
Decl *Entity,
SourceRange InstantiationRange = SourceRange());
struct ExceptionSpecification {};
/// Note that we are instantiating an exception specification
/// of a function template.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionDecl *Entity, ExceptionSpecification,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating a default argument in a
/// template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateParameter Param, TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// Note that we are substituting either explicitly-specified or
/// deduced template arguments during function template argument deduction.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
FunctionTemplateDecl *FunctionTemplate,
ArrayRef<TemplateArgument> TemplateArgs,
CodeSynthesisContext::SynthesisKind Kind,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a class template declaration.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a class template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ClassTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating as part of template
/// argument deduction for a variable template partial
/// specialization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
VarTemplatePartialSpecializationDecl *PartialSpec,
ArrayRef<TemplateArgument> TemplateArgs,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// Note that we are instantiating a default argument for a function
/// parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParmVarDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange = SourceRange());
/// Note that we are substituting prior template arguments into a
/// non-type parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
NonTypeTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we are substituting prior template arguments into a
/// template template parameter.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
NamedDecl *Template,
TemplateTemplateParmDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
/// Note that we are checking the default template argument
/// against the template parameter for a given template-id.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
TemplateDecl *Template,
NamedDecl *Param,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
struct ConstraintsCheck {};
/// \brief Note that we are checking the constraints associated with some
/// constrained entity (a concept declaration or a template with associated
/// constraints).
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintsCheck, NamedDecl *Template,
ArrayRef<TemplateArgument> TemplateArgs,
SourceRange InstantiationRange);
struct ConstraintSubstitution {};
/// \brief Note that we are checking a constraint expression associated
/// with a template declaration or as part of the satisfaction check of a
/// concept.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintSubstitution, NamedDecl *Template,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange);
struct ConstraintNormalization {};
/// \brief Note that we are normalizing a constraint expression.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ConstraintNormalization, NamedDecl *Template,
SourceRange InstantiationRange);
struct ParameterMappingSubstitution {};
/// \brief Note that we are subtituting into the parameter mapping of an
/// atomic constraint during constraint normalization.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
ParameterMappingSubstitution, NamedDecl *Template,
SourceRange InstantiationRange);
/// \brief Note that we are substituting template arguments into a part of
/// a requirement of a requires expression.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
concepts::Requirement *Req,
sema::TemplateDeductionInfo &DeductionInfo,
SourceRange InstantiationRange = SourceRange());
/// \brief Note that we are checking the satisfaction of the constraint
/// expression inside of a nested requirement.
InstantiatingTemplate(Sema &SemaRef, SourceLocation PointOfInstantiation,
concepts::NestedRequirement *Req, ConstraintsCheck,
SourceRange InstantiationRange = SourceRange());
/// Note that we have finished instantiating this template.
void Clear();
~InstantiatingTemplate() { Clear(); }
/// Determines whether we have exceeded the maximum
/// recursive template instantiations.
bool isInvalid() const { return Invalid; }
/// Determine whether we are already instantiating this
/// specialization in some surrounding active instantiation.
bool isAlreadyInstantiating() const { return AlreadyInstantiating; }
private:
Sema &SemaRef;
bool Invalid;
bool AlreadyInstantiating;
bool CheckInstantiationDepth(SourceLocation PointOfInstantiation,
SourceRange InstantiationRange);
InstantiatingTemplate(
Sema &SemaRef, CodeSynthesisContext::SynthesisKind Kind,
SourceLocation PointOfInstantiation, SourceRange InstantiationRange,
Decl *Entity, NamedDecl *Template = nullptr,
ArrayRef<TemplateArgument> TemplateArgs = None,
sema::TemplateDeductionInfo *DeductionInfo = nullptr);
InstantiatingTemplate(const InstantiatingTemplate&) = delete;
InstantiatingTemplate&
operator=(const InstantiatingTemplate&) = delete;
};
void pushCodeSynthesisContext(CodeSynthesisContext Ctx);
void popCodeSynthesisContext();
/// Determine whether we are currently performing template instantiation.
bool inTemplateInstantiation() const {
return CodeSynthesisContexts.size() > NonInstantiationEntries;
}
void PrintContextStack() {
if (!CodeSynthesisContexts.empty() &&
CodeSynthesisContexts.size() != LastEmittedCodeSynthesisContextDepth) {
PrintInstantiationStack();
LastEmittedCodeSynthesisContextDepth = CodeSynthesisContexts.size();
}
if (PragmaAttributeCurrentTargetDecl)
PrintPragmaAttributeInstantiationPoint();
}
void PrintInstantiationStack();
void PrintPragmaAttributeInstantiationPoint();
/// Determines whether we are currently in a context where
/// template argument substitution failures are not considered
/// errors.
///
/// \returns An empty \c Optional if we're not in a SFINAE context.
/// Otherwise, contains a pointer that, if non-NULL, contains the nearest
/// template-deduction context object, which can be used to capture
/// diagnostics that will be suppressed.
Optional<sema::TemplateDeductionInfo *> isSFINAEContext() const;
/// Determines whether we are currently in a context that
/// is not evaluated as per C++ [expr] p5.
bool isUnevaluatedContext() const {
assert(!ExprEvalContexts.empty() &&
"Must be in an expression evaluation context");
return ExprEvalContexts.back().isUnevaluated();
}
/// RAII class used to determine whether SFINAE has
/// trapped any errors that occur during template argument
/// deduction.
class SFINAETrap {
Sema &SemaRef;
unsigned PrevSFINAEErrors;
bool PrevInNonInstantiationSFINAEContext;
bool PrevAccessCheckingSFINAE;
bool PrevLastDiagnosticIgnored;
public:
explicit SFINAETrap(Sema &SemaRef, bool AccessCheckingSFINAE = false)
: SemaRef(SemaRef), PrevSFINAEErrors(SemaRef.NumSFINAEErrors),
PrevInNonInstantiationSFINAEContext(
SemaRef.InNonInstantiationSFINAEContext),
PrevAccessCheckingSFINAE(SemaRef.AccessCheckingSFINAE),
PrevLastDiagnosticIgnored(
SemaRef.getDiagnostics().isLastDiagnosticIgnored())
{
if (!SemaRef.isSFINAEContext())
SemaRef.InNonInstantiationSFINAEContext = true;
SemaRef.AccessCheckingSFINAE = AccessCheckingSFINAE;
}
~SFINAETrap() {
SemaRef.NumSFINAEErrors = PrevSFINAEErrors;
SemaRef.InNonInstantiationSFINAEContext
= PrevInNonInstantiationSFINAEContext;
SemaRef.AccessCheckingSFINAE = PrevAccessCheckingSFINAE;
SemaRef.getDiagnostics().setLastDiagnosticIgnored(
PrevLastDiagnosticIgnored);
}
/// Determine whether any SFINAE errors have been trapped.
bool hasErrorOccurred() const {
return SemaRef.NumSFINAEErrors > PrevSFINAEErrors;
}
};
/// RAII class used to indicate that we are performing provisional
/// semantic analysis to determine the validity of a construct, so
/// typo-correction and diagnostics in the immediate context (not within
/// implicitly-instantiated templates) should be suppressed.
class TentativeAnalysisScope {
Sema &SemaRef;
// FIXME: Using a SFINAETrap for this is a hack.
SFINAETrap Trap;
bool PrevDisableTypoCorrection;
public:
explicit TentativeAnalysisScope(Sema &SemaRef)
: SemaRef(SemaRef), Trap(SemaRef, true),
PrevDisableTypoCorrection(SemaRef.DisableTypoCorrection) {
SemaRef.DisableTypoCorrection = true;
}
~TentativeAnalysisScope() {
SemaRef.DisableTypoCorrection = PrevDisableTypoCorrection;
}
};
/// The current instantiation scope used to store local
/// variables.
LocalInstantiationScope *CurrentInstantiationScope;
/// Tracks whether we are in a context where typo correction is
/// disabled.
bool DisableTypoCorrection;
/// The number of typos corrected by CorrectTypo.
unsigned TyposCorrected;
typedef llvm::SmallSet<SourceLocation, 2> SrcLocSet;
typedef llvm::DenseMap<IdentifierInfo *, SrcLocSet> IdentifierSourceLocations;
/// A cache containing identifiers for which typo correction failed and
/// their locations, so that repeated attempts to correct an identifier in a
/// given location are ignored if typo correction already failed for it.
IdentifierSourceLocations TypoCorrectionFailures;
/// Worker object for performing CFG-based warnings.
sema::AnalysisBasedWarnings AnalysisWarnings;
threadSafety::BeforeSet *ThreadSafetyDeclCache;
/// An entity for which implicit template instantiation is required.
///
/// The source location associated with the declaration is the first place in
/// the source code where the declaration was "used". It is not necessarily
/// the point of instantiation (which will be either before or after the
/// namespace-scope declaration that triggered this implicit instantiation),
/// However, it is the location that diagnostics should generally refer to,
/// because users will need to know what code triggered the instantiation.
typedef std::pair<ValueDecl *, SourceLocation> PendingImplicitInstantiation;
/// The queue of implicit template instantiations that are required
/// but have not yet been performed.
std::deque<PendingImplicitInstantiation> PendingInstantiations;
/// Queue of implicit template instantiations that cannot be performed
/// eagerly.
SmallVector<PendingImplicitInstantiation, 1> LateParsedInstantiations;
class GlobalEagerInstantiationScope {
public:
GlobalEagerInstantiationScope(Sema &S, bool Enabled)
: S(S), Enabled(Enabled) {
if (!Enabled) return;
SavedPendingInstantiations.swap(S.PendingInstantiations);
SavedVTableUses.swap(S.VTableUses);
}
void perform() {
if (Enabled) {
S.DefineUsedVTables();
S.PerformPendingInstantiations();
}
}
~GlobalEagerInstantiationScope() {
if (!Enabled) return;
// Restore the set of pending vtables.
assert(S.VTableUses.empty() &&
"VTableUses should be empty before it is discarded.");
S.VTableUses.swap(SavedVTableUses);
// Restore the set of pending implicit instantiations.
if (S.TUKind != TU_Prefix || !S.LangOpts.PCHInstantiateTemplates) {
assert(S.PendingInstantiations.empty() &&
"PendingInstantiations should be empty before it is discarded.");
S.PendingInstantiations.swap(SavedPendingInstantiations);
} else {
// Template instantiations in the PCH may be delayed until the TU.
S.PendingInstantiations.swap(SavedPendingInstantiations);
S.PendingInstantiations.insert(S.PendingInstantiations.end(),
SavedPendingInstantiations.begin(),
SavedPendingInstantiations.end());
}
}
private:
Sema &S;
SmallVector<VTableUse, 16> SavedVTableUses;
std::deque<PendingImplicitInstantiation> SavedPendingInstantiations;
bool Enabled;
};
/// The queue of implicit template instantiations that are required
/// and must be performed within the current local scope.
///
/// This queue is only used for member functions of local classes in
/// templates, which must be instantiated in the same scope as their
/// enclosing function, so that they can reference function-local
/// types, static variables, enumerators, etc.
std::deque<PendingImplicitInstantiation> PendingLocalImplicitInstantiations;
class LocalEagerInstantiationScope {
public:
LocalEagerInstantiationScope(Sema &S) : S(S) {
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
void perform() { S.PerformPendingInstantiations(/*LocalOnly=*/true); }
~LocalEagerInstantiationScope() {
assert(S.PendingLocalImplicitInstantiations.empty() &&
"there shouldn't be any pending local implicit instantiations");
SavedPendingLocalImplicitInstantiations.swap(
S.PendingLocalImplicitInstantiations);
}
private:
Sema &S;
std::deque<PendingImplicitInstantiation>
SavedPendingLocalImplicitInstantiations;
};
/// A helper class for building up ExtParameterInfos.
class ExtParameterInfoBuilder {
SmallVector<FunctionProtoType::ExtParameterInfo, 16> Infos;
bool HasInteresting = false;
public:
/// Set the ExtParameterInfo for the parameter at the given index,
///
void set(unsigned index, FunctionProtoType::ExtParameterInfo info) {
assert(Infos.size() <= index);
Infos.resize(index);
Infos.push_back(info);
if (!HasInteresting)
HasInteresting = (info != FunctionProtoType::ExtParameterInfo());
}
/// Return a pointer (suitable for setting in an ExtProtoInfo) to the
/// ExtParameterInfo array we've built up.
const FunctionProtoType::ExtParameterInfo *
getPointerOrNull(unsigned numParams) {
if (!HasInteresting) return nullptr;
Infos.resize(numParams);
return Infos.data();
}
};
void PerformPendingInstantiations(bool LocalOnly = false);
TypeSourceInfo *SubstType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity,
bool AllowDeducedTST = false);
QualType SubstType(QualType T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstType(TypeLoc TL,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc, DeclarationName Entity);
TypeSourceInfo *SubstFunctionDeclType(TypeSourceInfo *T,
const MultiLevelTemplateArgumentList &TemplateArgs,
SourceLocation Loc,
DeclarationName Entity,
CXXRecordDecl *ThisContext,
Qualifiers ThisTypeQuals);
void SubstExceptionSpec(FunctionDecl *New, const FunctionProtoType *Proto,
const MultiLevelTemplateArgumentList &Args);
bool SubstExceptionSpec(SourceLocation Loc,
FunctionProtoType::ExceptionSpecInfo &ESI,
SmallVectorImpl<QualType> &ExceptionStorage,
const MultiLevelTemplateArgumentList &Args);
ParmVarDecl *SubstParmVarDecl(ParmVarDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
int indexAdjustment,
Optional<unsigned> NumExpansions,
bool ExpectParameterPack);
bool SubstParmTypes(SourceLocation Loc, ArrayRef<ParmVarDecl *> Params,
const FunctionProtoType::ExtParameterInfo *ExtParamInfos,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<QualType> &ParamTypes,
SmallVectorImpl<ParmVarDecl *> *OutParams,
ExtParameterInfoBuilder &ParamInfos);
ExprResult SubstExpr(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Substitute the given template arguments into a list of
/// expressions, expanding pack expansions if required.
///
/// \param Exprs The list of expressions to substitute into.
///
/// \param IsCall Whether this is some form of call, in which case
/// default arguments will be dropped.
///
/// \param TemplateArgs The set of template arguments to substitute.
///
/// \param Outputs Will receive all of the substituted arguments.
///
/// \returns true if an error occurred, false otherwise.
bool SubstExprs(ArrayRef<Expr *> Exprs, bool IsCall,
const MultiLevelTemplateArgumentList &TemplateArgs,
SmallVectorImpl<Expr *> &Outputs);
StmtResult SubstStmt(Stmt *S,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateParameterList *
SubstTemplateParams(TemplateParameterList *Params, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
SubstTemplateArguments(ArrayRef<TemplateArgumentLoc> Args,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateArgumentListInfo &Outputs);
Decl *SubstDecl(Decl *D, DeclContext *Owner,
const MultiLevelTemplateArgumentList &TemplateArgs);
/// Substitute the name and return type of a defaulted 'operator<=>' to form
/// an implicit 'operator=='.
FunctionDecl *SubstSpaceshipAsEqualEqual(CXXRecordDecl *RD,
FunctionDecl *Spaceship);
ExprResult SubstInitializer(Expr *E,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool CXXDirectInit);
bool
SubstBaseSpecifiers(CXXRecordDecl *Instantiation,
CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool
InstantiateClass(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation, CXXRecordDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK,
bool Complain = true);
bool InstantiateEnum(SourceLocation PointOfInstantiation,
EnumDecl *Instantiation, EnumDecl *Pattern,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
bool InstantiateInClassInitializer(
SourceLocation PointOfInstantiation, FieldDecl *Instantiation,
FieldDecl *Pattern, const MultiLevelTemplateArgumentList &TemplateArgs);
struct LateInstantiatedAttribute {
const Attr *TmplAttr;
LocalInstantiationScope *Scope;
Decl *NewDecl;
LateInstantiatedAttribute(const Attr *A, LocalInstantiationScope *S,
Decl *D)
: TmplAttr(A), Scope(S), NewDecl(D)
{ }
};
typedef SmallVector<LateInstantiatedAttribute, 16> LateInstantiatedAttrVec;
void InstantiateAttrs(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
void
InstantiateAttrsForDecl(const MultiLevelTemplateArgumentList &TemplateArgs,
const Decl *Pattern, Decl *Inst,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *OuterMostScope = nullptr);
bool usesPartialOrExplicitSpecialization(
SourceLocation Loc, ClassTemplateSpecializationDecl *ClassTemplateSpec);
bool
InstantiateClassTemplateSpecialization(SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK,
bool Complain = true);
void InstantiateClassMembers(SourceLocation PointOfInstantiation,
CXXRecordDecl *Instantiation,
const MultiLevelTemplateArgumentList &TemplateArgs,
TemplateSpecializationKind TSK);
void InstantiateClassTemplateSpecializationMembers(
SourceLocation PointOfInstantiation,
ClassTemplateSpecializationDecl *ClassTemplateSpec,
TemplateSpecializationKind TSK);
NestedNameSpecifierLoc
SubstNestedNameSpecifierLoc(NestedNameSpecifierLoc NNS,
const MultiLevelTemplateArgumentList &TemplateArgs);
DeclarationNameInfo
SubstDeclarationNameInfo(const DeclarationNameInfo &NameInfo,
const MultiLevelTemplateArgumentList &TemplateArgs);
TemplateName
SubstTemplateName(NestedNameSpecifierLoc QualifierLoc, TemplateName Name,
SourceLocation Loc,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool Subst(const TemplateArgumentLoc *Args, unsigned NumArgs,
TemplateArgumentListInfo &Result,
const MultiLevelTemplateArgumentList &TemplateArgs);
bool InstantiateDefaultArgument(SourceLocation CallLoc, FunctionDecl *FD,
ParmVarDecl *Param);
void InstantiateExceptionSpec(SourceLocation PointOfInstantiation,
FunctionDecl *Function);
bool CheckInstantiatedFunctionTemplateConstraints(
SourceLocation PointOfInstantiation, FunctionDecl *Decl,
ArrayRef<TemplateArgument> TemplateArgs,
ConstraintSatisfaction &Satisfaction);
FunctionDecl *InstantiateFunctionDeclaration(FunctionTemplateDecl *FTD,
const TemplateArgumentList *Args,
SourceLocation Loc);
void InstantiateFunctionDefinition(SourceLocation PointOfInstantiation,
FunctionDecl *Function,
bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
VarTemplateSpecializationDecl *BuildVarTemplateInstantiation(
VarTemplateDecl *VarTemplate, VarDecl *FromVar,
const TemplateArgumentList &TemplateArgList,
const TemplateArgumentListInfo &TemplateArgsInfo,
SmallVectorImpl<TemplateArgument> &Converted,
SourceLocation PointOfInstantiation, void *InsertPos,
LateInstantiatedAttrVec *LateAttrs = nullptr,
LocalInstantiationScope *StartingScope = nullptr);
VarTemplateSpecializationDecl *CompleteVarTemplateSpecializationDecl(
VarTemplateSpecializationDecl *VarSpec, VarDecl *PatternDecl,
const MultiLevelTemplateArgumentList &TemplateArgs);
void
BuildVariableInstantiation(VarDecl *NewVar, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs,
LateInstantiatedAttrVec *LateAttrs,
DeclContext *Owner,
LocalInstantiationScope *StartingScope,
bool InstantiatingVarTemplate = false,
VarTemplateSpecializationDecl *PrevVTSD = nullptr);
void InstantiateVariableInitializer(
VarDecl *Var, VarDecl *OldVar,
const MultiLevelTemplateArgumentList &TemplateArgs);
void InstantiateVariableDefinition(SourceLocation PointOfInstantiation,
VarDecl *Var, bool Recursive = false,
bool DefinitionRequired = false,
bool AtEndOfTU = false);
void InstantiateMemInitializers(CXXConstructorDecl *New,
const CXXConstructorDecl *Tmpl,
const MultiLevelTemplateArgumentList &TemplateArgs);
NamedDecl *FindInstantiatedDecl(SourceLocation Loc, NamedDecl *D,
const MultiLevelTemplateArgumentList &TemplateArgs,
bool FindingInstantiatedContext = false);
DeclContext *FindInstantiatedContext(SourceLocation Loc, DeclContext *DC,
const MultiLevelTemplateArgumentList &TemplateArgs);
// Objective-C declarations.
enum ObjCContainerKind {
OCK_None = -1,
OCK_Interface = 0,
OCK_Protocol,
OCK_Category,
OCK_ClassExtension,
OCK_Implementation,
OCK_CategoryImplementation
};
ObjCContainerKind getObjCContainerKind() const;
DeclResult actOnObjCTypeParam(Scope *S,
ObjCTypeParamVariance variance,
SourceLocation varianceLoc,
unsigned index,
IdentifierInfo *paramName,
SourceLocation paramLoc,
SourceLocation colonLoc,
ParsedType typeBound);
ObjCTypeParamList *actOnObjCTypeParamList(Scope *S, SourceLocation lAngleLoc,
ArrayRef<Decl *> typeParams,
SourceLocation rAngleLoc);
void popObjCTypeParamList(Scope *S, ObjCTypeParamList *typeParamList);
Decl *ActOnStartClassInterface(
Scope *S, SourceLocation AtInterfaceLoc, IdentifierInfo *ClassName,
SourceLocation ClassLoc, ObjCTypeParamList *typeParamList,
IdentifierInfo *SuperName, SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs, SourceRange SuperTypeArgsRange,
Decl *const *ProtoRefs, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs, SourceLocation EndProtoLoc,
const ParsedAttributesView &AttrList);
void ActOnSuperClassOfClassInterface(Scope *S,
SourceLocation AtInterfaceLoc,
ObjCInterfaceDecl *IDecl,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperName,
SourceLocation SuperLoc,
ArrayRef<ParsedType> SuperTypeArgs,
SourceRange SuperTypeArgsRange);
void ActOnTypedefedProtocols(SmallVectorImpl<Decl *> &ProtocolRefs,
SmallVectorImpl<SourceLocation> &ProtocolLocs,
IdentifierInfo *SuperName,
SourceLocation SuperLoc);
Decl *ActOnCompatibilityAlias(
SourceLocation AtCompatibilityAliasLoc,
IdentifierInfo *AliasName, SourceLocation AliasLocation,
IdentifierInfo *ClassName, SourceLocation ClassLocation);
bool CheckForwardProtocolDeclarationForCircularDependency(
IdentifierInfo *PName,
SourceLocation &PLoc, SourceLocation PrevLoc,
const ObjCList<ObjCProtocolDecl> &PList);
Decl *ActOnStartProtocolInterface(
SourceLocation AtProtoInterfaceLoc, IdentifierInfo *ProtocolName,
SourceLocation ProtocolLoc, Decl *const *ProtoRefNames,
unsigned NumProtoRefs, const SourceLocation *ProtoLocs,
SourceLocation EndProtoLoc, const ParsedAttributesView &AttrList);
Decl *ActOnStartCategoryInterface(
SourceLocation AtInterfaceLoc, IdentifierInfo *ClassName,
SourceLocation ClassLoc, ObjCTypeParamList *typeParamList,
IdentifierInfo *CategoryName, SourceLocation CategoryLoc,
Decl *const *ProtoRefs, unsigned NumProtoRefs,
const SourceLocation *ProtoLocs, SourceLocation EndProtoLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnStartClassImplementation(SourceLocation AtClassImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *SuperClassname,
SourceLocation SuperClassLoc,
const ParsedAttributesView &AttrList);
Decl *ActOnStartCategoryImplementation(SourceLocation AtCatImplLoc,
IdentifierInfo *ClassName,
SourceLocation ClassLoc,
IdentifierInfo *CatName,
SourceLocation CatLoc,
const ParsedAttributesView &AttrList);
DeclGroupPtrTy ActOnFinishObjCImplementation(Decl *ObjCImpDecl,
ArrayRef<Decl *> Decls);
DeclGroupPtrTy ActOnForwardClassDeclaration(SourceLocation Loc,
IdentifierInfo **IdentList,
SourceLocation *IdentLocs,
ArrayRef<ObjCTypeParamList *> TypeParamLists,
unsigned NumElts);
DeclGroupPtrTy
ActOnForwardProtocolDeclaration(SourceLocation AtProtoclLoc,
ArrayRef<IdentifierLocPair> IdentList,
const ParsedAttributesView &attrList);
void FindProtocolDeclaration(bool WarnOnDeclarations, bool ForObjCContainer,
ArrayRef<IdentifierLocPair> ProtocolId,
SmallVectorImpl<Decl *> &Protocols);
void DiagnoseTypeArgsAndProtocols(IdentifierInfo *ProtocolId,
SourceLocation ProtocolLoc,
IdentifierInfo *TypeArgId,
SourceLocation TypeArgLoc,
bool SelectProtocolFirst = false);
/// Given a list of identifiers (and their locations), resolve the
/// names to either Objective-C protocol qualifiers or type
/// arguments, as appropriate.
void actOnObjCTypeArgsOrProtocolQualifiers(
Scope *S,
ParsedType baseType,
SourceLocation lAngleLoc,
ArrayRef<IdentifierInfo *> identifiers,
ArrayRef<SourceLocation> identifierLocs,
SourceLocation rAngleLoc,
SourceLocation &typeArgsLAngleLoc,
SmallVectorImpl<ParsedType> &typeArgs,
SourceLocation &typeArgsRAngleLoc,
SourceLocation &protocolLAngleLoc,
SmallVectorImpl<Decl *> &protocols,
SourceLocation &protocolRAngleLoc,
bool warnOnIncompleteProtocols);
/// Build a an Objective-C protocol-qualified 'id' type where no
/// base type was specified.
TypeResult actOnObjCProtocolQualifierType(
SourceLocation lAngleLoc,
ArrayRef<Decl *> protocols,
ArrayRef<SourceLocation> protocolLocs,
SourceLocation rAngleLoc);
/// Build a specialized and/or protocol-qualified Objective-C type.
TypeResult actOnObjCTypeArgsAndProtocolQualifiers(
Scope *S,
SourceLocation Loc,
ParsedType BaseType,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<ParsedType> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<Decl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc);
/// Build an Objective-C type parameter type.
QualType BuildObjCTypeParamType(const ObjCTypeParamDecl *Decl,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Build an Objective-C object pointer type.
QualType BuildObjCObjectType(QualType BaseType,
SourceLocation Loc,
SourceLocation TypeArgsLAngleLoc,
ArrayRef<TypeSourceInfo *> TypeArgs,
SourceLocation TypeArgsRAngleLoc,
SourceLocation ProtocolLAngleLoc,
ArrayRef<ObjCProtocolDecl *> Protocols,
ArrayRef<SourceLocation> ProtocolLocs,
SourceLocation ProtocolRAngleLoc,
bool FailOnError = false);
/// Ensure attributes are consistent with type.
/// \param [in, out] Attributes The attributes to check; they will
/// be modified to be consistent with \p PropertyTy.
void CheckObjCPropertyAttributes(Decl *PropertyPtrTy,
SourceLocation Loc,
unsigned &Attributes,
bool propertyInPrimaryClass);
/// Process the specified property declaration and create decls for the
/// setters and getters as needed.
/// \param property The property declaration being processed
void ProcessPropertyDecl(ObjCPropertyDecl *property);
void DiagnosePropertyMismatch(ObjCPropertyDecl *Property,
ObjCPropertyDecl *SuperProperty,
const IdentifierInfo *Name,
bool OverridingProtocolProperty);
void DiagnoseClassExtensionDupMethods(ObjCCategoryDecl *CAT,
ObjCInterfaceDecl *ID);
Decl *ActOnAtEnd(Scope *S, SourceRange AtEnd,
ArrayRef<Decl *> allMethods = None,
ArrayRef<DeclGroupPtrTy> allTUVars = None);
Decl *ActOnProperty(Scope *S, SourceLocation AtLoc,
SourceLocation LParenLoc,
FieldDeclarator &FD, ObjCDeclSpec &ODS,
Selector GetterSel, Selector SetterSel,
tok::ObjCKeywordKind MethodImplKind,
DeclContext *lexicalDC = nullptr);
Decl *ActOnPropertyImplDecl(Scope *S,
SourceLocation AtLoc,
SourceLocation PropertyLoc,
bool ImplKind,
IdentifierInfo *PropertyId,
IdentifierInfo *PropertyIvar,
SourceLocation PropertyIvarLoc,
ObjCPropertyQueryKind QueryKind);
enum ObjCSpecialMethodKind {
OSMK_None,
OSMK_Alloc,
OSMK_New,
OSMK_Copy,
OSMK_RetainingInit,
OSMK_NonRetainingInit
};
struct ObjCArgInfo {
IdentifierInfo *Name;
SourceLocation NameLoc;
// The Type is null if no type was specified, and the DeclSpec is invalid
// in this case.
ParsedType Type;
ObjCDeclSpec DeclSpec;
/// ArgAttrs - Attribute list for this argument.
ParsedAttributesView ArgAttrs;
};
Decl *ActOnMethodDeclaration(
Scope *S,
SourceLocation BeginLoc, // location of the + or -.
SourceLocation EndLoc, // location of the ; or {.
tok::TokenKind MethodType, ObjCDeclSpec &ReturnQT, ParsedType ReturnType,
ArrayRef<SourceLocation> SelectorLocs, Selector Sel,
// optional arguments. The number of types/arguments is obtained
// from the Sel.getNumArgs().
ObjCArgInfo *ArgInfo, DeclaratorChunk::ParamInfo *CParamInfo,
unsigned CNumArgs, // c-style args
const ParsedAttributesView &AttrList, tok::ObjCKeywordKind MethodImplKind,
bool isVariadic, bool MethodDefinition);
ObjCMethodDecl *LookupMethodInQualifiedType(Selector Sel,
const ObjCObjectPointerType *OPT,
bool IsInstance);
ObjCMethodDecl *LookupMethodInObjectType(Selector Sel, QualType Ty,
bool IsInstance);
bool CheckARCMethodDecl(ObjCMethodDecl *method);
bool inferObjCARCLifetime(ValueDecl *decl);
void deduceOpenCLAddressSpace(ValueDecl *decl);
ExprResult
HandleExprPropertyRefExpr(const ObjCObjectPointerType *OPT,
Expr *BaseExpr,
SourceLocation OpLoc,
DeclarationName MemberName,
SourceLocation MemberLoc,
SourceLocation SuperLoc, QualType SuperType,
bool Super);
ExprResult
ActOnClassPropertyRefExpr(IdentifierInfo &receiverName,
IdentifierInfo &propertyName,
SourceLocation receiverNameLoc,
SourceLocation propertyNameLoc);
ObjCMethodDecl *tryCaptureObjCSelf(SourceLocation Loc);
/// Describes the kind of message expression indicated by a message
/// send that starts with an identifier.
enum ObjCMessageKind {
/// The message is sent to 'super'.
ObjCSuperMessage,
/// The message is an instance message.
ObjCInstanceMessage,
/// The message is a class message, and the identifier is a type
/// name.
ObjCClassMessage
};
ObjCMessageKind getObjCMessageKind(Scope *S,
IdentifierInfo *Name,
SourceLocation NameLoc,
bool IsSuper,
bool HasTrailingDot,
ParsedType &ReceiverType);
ExprResult ActOnSuperMessage(Scope *S, SourceLocation SuperLoc,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildClassMessage(TypeSourceInfo *ReceiverTypeInfo,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildClassMessageImplicit(QualType ReceiverType,
bool isSuperReceiver,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnClassMessage(Scope *S,
ParsedType Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildInstanceMessage(Expr *Receiver,
QualType ReceiverType,
SourceLocation SuperLoc,
Selector Sel,
ObjCMethodDecl *Method,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args,
bool isImplicit = false);
ExprResult BuildInstanceMessageImplicit(Expr *Receiver,
QualType ReceiverType,
SourceLocation Loc,
Selector Sel,
ObjCMethodDecl *Method,
MultiExprArg Args);
ExprResult ActOnInstanceMessage(Scope *S,
Expr *Receiver,
Selector Sel,
SourceLocation LBracLoc,
ArrayRef<SourceLocation> SelectorLocs,
SourceLocation RBracLoc,
MultiExprArg Args);
ExprResult BuildObjCBridgedCast(SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
TypeSourceInfo *TSInfo,
Expr *SubExpr);
ExprResult ActOnObjCBridgedCast(Scope *S,
SourceLocation LParenLoc,
ObjCBridgeCastKind Kind,
SourceLocation BridgeKeywordLoc,
ParsedType Type,
SourceLocation RParenLoc,
Expr *SubExpr);
void CheckTollFreeBridgeCast(QualType castType, Expr *castExpr);
void CheckObjCBridgeRelatedCast(QualType castType, Expr *castExpr);
bool CheckTollFreeBridgeStaticCast(QualType castType, Expr *castExpr,
CastKind &Kind);
bool checkObjCBridgeRelatedComponents(SourceLocation Loc,
QualType DestType, QualType SrcType,
ObjCInterfaceDecl *&RelatedClass,
ObjCMethodDecl *&ClassMethod,
ObjCMethodDecl *&InstanceMethod,
TypedefNameDecl *&TDNDecl,
bool CfToNs, bool Diagnose = true);
bool CheckObjCBridgeRelatedConversions(SourceLocation Loc,
QualType DestType, QualType SrcType,
Expr *&SrcExpr, bool Diagnose = true);
bool CheckConversionToObjCLiteral(QualType DstType, Expr *&SrcExpr,
bool Diagnose = true);
bool checkInitMethod(ObjCMethodDecl *method, QualType receiverTypeIfCall);
/// Check whether the given new method is a valid override of the
/// given overridden method, and set any properties that should be inherited.
void CheckObjCMethodOverride(ObjCMethodDecl *NewMethod,
const ObjCMethodDecl *Overridden);
/// Describes the compatibility of a result type with its method.
enum ResultTypeCompatibilityKind {
RTC_Compatible,
RTC_Incompatible,
RTC_Unknown
};
void CheckObjCMethodDirectOverrides(ObjCMethodDecl *method,
ObjCMethodDecl *overridden);
void CheckObjCMethodOverrides(ObjCMethodDecl *ObjCMethod,
ObjCInterfaceDecl *CurrentClass,
ResultTypeCompatibilityKind RTC);
enum PragmaOptionsAlignKind {
POAK_Native, // #pragma options align=native
POAK_Natural, // #pragma options align=natural
POAK_Packed, // #pragma options align=packed
POAK_Power, // #pragma options align=power
POAK_Mac68k, // #pragma options align=mac68k
POAK_Reset // #pragma options align=reset
};
/// ActOnPragmaClangSection - Called on well formed \#pragma clang section
void ActOnPragmaClangSection(SourceLocation PragmaLoc,
PragmaClangSectionAction Action,
PragmaClangSectionKind SecKind, StringRef SecName);
/// ActOnPragmaOptionsAlign - Called on well formed \#pragma options align.
void ActOnPragmaOptionsAlign(PragmaOptionsAlignKind Kind,
SourceLocation PragmaLoc);
/// ActOnPragmaPack - Called on well formed \#pragma pack(...).
void ActOnPragmaPack(SourceLocation PragmaLoc, PragmaMsStackAction Action,
StringRef SlotLabel, Expr *Alignment);
enum class PragmaPackDiagnoseKind {
NonDefaultStateAtInclude,
ChangedStateAtExit
};
void DiagnoseNonDefaultPragmaPack(PragmaPackDiagnoseKind Kind,
SourceLocation IncludeLoc);
void DiagnoseUnterminatedPragmaPack();
/// ActOnPragmaMSStruct - Called on well formed \#pragma ms_struct [on|off].
void ActOnPragmaMSStruct(PragmaMSStructKind Kind);
/// ActOnPragmaMSComment - Called on well formed
/// \#pragma comment(kind, "arg").
void ActOnPragmaMSComment(SourceLocation CommentLoc, PragmaMSCommentKind Kind,
StringRef Arg);
/// ActOnPragmaMSPointersToMembers - called on well formed \#pragma
/// pointers_to_members(representation method[, general purpose
/// representation]).
void ActOnPragmaMSPointersToMembers(
LangOptions::PragmaMSPointersToMembersKind Kind,
SourceLocation PragmaLoc);
/// Called on well formed \#pragma vtordisp().
void ActOnPragmaMSVtorDisp(PragmaMsStackAction Action,
SourceLocation PragmaLoc,
MSVtorDispMode Value);
enum PragmaSectionKind {
PSK_DataSeg,
PSK_BSSSeg,
PSK_ConstSeg,
PSK_CodeSeg,
};
bool UnifySection(StringRef SectionName,
int SectionFlags,
DeclaratorDecl *TheDecl);
bool UnifySection(StringRef SectionName,
int SectionFlags,
SourceLocation PragmaSectionLocation);
/// Called on well formed \#pragma bss_seg/data_seg/const_seg/code_seg.
void ActOnPragmaMSSeg(SourceLocation PragmaLocation,
PragmaMsStackAction Action,
llvm::StringRef StackSlotLabel,
StringLiteral *SegmentName,
llvm::StringRef PragmaName);
/// Called on well formed \#pragma section().
void ActOnPragmaMSSection(SourceLocation PragmaLocation,
int SectionFlags, StringLiteral *SegmentName);
/// Called on well-formed \#pragma init_seg().
void ActOnPragmaMSInitSeg(SourceLocation PragmaLocation,
StringLiteral *SegmentName);
/// Called on #pragma clang __debug dump II
void ActOnPragmaDump(Scope *S, SourceLocation Loc, IdentifierInfo *II);
/// ActOnPragmaDetectMismatch - Call on well-formed \#pragma detect_mismatch
void ActOnPragmaDetectMismatch(SourceLocation Loc, StringRef Name,
StringRef Value);
/// Are precise floating point semantics currently enabled?
bool isPreciseFPEnabled() {
return !CurFPFeatures.getAllowFPReassociate() &&
!CurFPFeatures.getNoSignedZero() &&
!CurFPFeatures.getAllowReciprocal() &&
!CurFPFeatures.getAllowApproxFunc();
}
/// ActOnPragmaFloatControl - Call on well-formed \#pragma float_control
void ActOnPragmaFloatControl(SourceLocation Loc, PragmaMsStackAction Action,
PragmaFloatControlKind Value);
/// ActOnPragmaUnused - Called on well-formed '\#pragma unused'.
void ActOnPragmaUnused(const Token &Identifier,
Scope *curScope,
SourceLocation PragmaLoc);
/// ActOnPragmaVisibility - Called on well formed \#pragma GCC visibility... .
void ActOnPragmaVisibility(const IdentifierInfo* VisType,
SourceLocation PragmaLoc);
NamedDecl *DeclClonePragmaWeak(NamedDecl *ND, IdentifierInfo *II,
SourceLocation Loc);
void DeclApplyPragmaWeak(Scope *S, NamedDecl *ND, WeakInfo &W);
/// ActOnPragmaWeakID - Called on well formed \#pragma weak ident.
void ActOnPragmaWeakID(IdentifierInfo* WeakName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc);
/// ActOnPragmaRedefineExtname - Called on well formed
/// \#pragma redefine_extname oldname newname.
void ActOnPragmaRedefineExtname(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaWeakAlias - Called on well formed \#pragma weak ident = ident.
void ActOnPragmaWeakAlias(IdentifierInfo* WeakName,
IdentifierInfo* AliasName,
SourceLocation PragmaLoc,
SourceLocation WeakNameLoc,
SourceLocation AliasNameLoc);
/// ActOnPragmaFPContract - Called on well formed
/// \#pragma {STDC,OPENCL} FP_CONTRACT and
/// \#pragma clang fp contract
void ActOnPragmaFPContract(SourceLocation Loc, LangOptions::FPModeKind FPC);
/// Called on well formed
/// \#pragma clang fp reassociate
void ActOnPragmaFPReassociate(SourceLocation Loc, bool IsEnabled);
/// ActOnPragmaFenvAccess - Called on well formed
/// \#pragma STDC FENV_ACCESS
void ActOnPragmaFEnvAccess(SourceLocation Loc, bool IsEnabled);
/// Called to set constant rounding mode for floating point operations.
void setRoundingMode(SourceLocation Loc, llvm::RoundingMode);
/// Called to set exception behavior for floating point operations.
void setExceptionMode(SourceLocation Loc, LangOptions::FPExceptionModeKind);
/// AddAlignmentAttributesForRecord - Adds any needed alignment attributes to
/// a the record decl, to handle '\#pragma pack' and '\#pragma options align'.
void AddAlignmentAttributesForRecord(RecordDecl *RD);
/// AddMsStructLayoutForRecord - Adds ms_struct layout attribute to record.
void AddMsStructLayoutForRecord(RecordDecl *RD);
/// FreePackedContext - Deallocate and null out PackContext.
void FreePackedContext();
/// PushNamespaceVisibilityAttr - Note that we've entered a
/// namespace with a visibility attribute.
void PushNamespaceVisibilityAttr(const VisibilityAttr *Attr,
SourceLocation Loc);
/// AddPushedVisibilityAttribute - If '\#pragma GCC visibility' was used,
/// add an appropriate visibility attribute.
void AddPushedVisibilityAttribute(Decl *RD);
/// PopPragmaVisibility - Pop the top element of the visibility stack; used
/// for '\#pragma GCC visibility' and visibility attributes on namespaces.
void PopPragmaVisibility(bool IsNamespaceEnd, SourceLocation EndLoc);
/// FreeVisContext - Deallocate and null out VisContext.
void FreeVisContext();
/// AddCFAuditedAttribute - Check whether we're currently within
/// '\#pragma clang arc_cf_code_audited' and, if so, consider adding
/// the appropriate attribute.
void AddCFAuditedAttribute(Decl *D);
void ActOnPragmaAttributeAttribute(ParsedAttr &Attribute,
SourceLocation PragmaLoc,
attr::ParsedSubjectMatchRuleSet Rules);
void ActOnPragmaAttributeEmptyPush(SourceLocation PragmaLoc,
const IdentifierInfo *Namespace);
/// Called on well-formed '\#pragma clang attribute pop'.
void ActOnPragmaAttributePop(SourceLocation PragmaLoc,
const IdentifierInfo *Namespace);
/// Adds the attributes that have been specified using the
/// '\#pragma clang attribute push' directives to the given declaration.
void AddPragmaAttributes(Scope *S, Decl *D);
void DiagnoseUnterminatedPragmaAttribute();
/// Called on well formed \#pragma clang optimize.
void ActOnPragmaOptimize(bool On, SourceLocation PragmaLoc);
/// Get the location for the currently active "\#pragma clang optimize
/// off". If this location is invalid, then the state of the pragma is "on".
SourceLocation getOptimizeOffPragmaLocation() const {
return OptimizeOffPragmaLocation;
}
/// Only called on function definitions; if there is a pragma in scope
/// with the effect of a range-based optnone, consider marking the function
/// with attribute optnone.
void AddRangeBasedOptnone(FunctionDecl *FD);
/// Adds the 'optnone' attribute to the function declaration if there
/// are no conflicts; Loc represents the location causing the 'optnone'
/// attribute to be added (usually because of a pragma).
void AddOptnoneAttributeIfNoConflicts(FunctionDecl *FD, SourceLocation Loc);
template <typename AttrType>
bool checkRangedIntegralArgument(Expr *E, const AttrType *TmpAttr,
ExprResult &Result);
template <typename AttrType>
void AddOneConstantValueAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E);
template <typename AttrType>
void AddOneConstantPowerTwoValueAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *E);
void AddIntelFPGABankBitsAttr(Decl *D, const AttributeCommonInfo &CI,
Expr **Exprs, unsigned Size);
template <typename AttrType>
void addIntelSYCLSingleArgFunctionAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *E);
/// AddAlignedAttr - Adds an aligned attribute to a particular declaration.
void AddAlignedAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E,
bool IsPackExpansion);
void AddAlignedAttr(Decl *D, const AttributeCommonInfo &CI, TypeSourceInfo *T,
bool IsPackExpansion);
/// AddAssumeAlignedAttr - Adds an assume_aligned attribute to a particular
/// declaration.
void AddAssumeAlignedAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E,
Expr *OE);
/// AddAllocAlignAttr - Adds an alloc_align attribute to a particular
/// declaration.
void AddAllocAlignAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *ParamExpr);
/// AddAlignValueAttr - Adds an align_value attribute to a particular
/// declaration.
void AddAlignValueAttr(Decl *D, const AttributeCommonInfo &CI, Expr *E);
/// AddLaunchBoundsAttr - Adds a launch_bounds attribute to a particular
/// declaration.
void AddLaunchBoundsAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *MaxThreads, Expr *MinBlocks);
/// AddModeAttr - Adds a mode attribute to a particular declaration.
void AddModeAttr(Decl *D, const AttributeCommonInfo &CI, IdentifierInfo *Name,
bool InInstantiation = false);
void AddParameterABIAttr(Decl *D, const AttributeCommonInfo &CI,
ParameterABI ABI);
enum class RetainOwnershipKind {NS, CF, OS};
void AddXConsumedAttr(Decl *D, const AttributeCommonInfo &CI,
RetainOwnershipKind K, bool IsTemplateInstantiation);
/// addAMDGPUFlatWorkGroupSizeAttr - Adds an amdgpu_flat_work_group_size
/// attribute to a particular declaration.
void addAMDGPUFlatWorkGroupSizeAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *Min, Expr *Max);
/// addAMDGPUWavePersEUAttr - Adds an amdgpu_waves_per_eu attribute to a
/// particular declaration.
void addAMDGPUWavesPerEUAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *Min, Expr *Max);
/// addSYCLIntelPipeIOAttr - Adds a pipe I/O attribute to a particular
/// declaration.
void addSYCLIntelPipeIOAttr(Decl *D, const AttributeCommonInfo &CI, Expr *ID);
bool checkNSReturnsRetainedReturnType(SourceLocation loc, QualType type);
bool checkAllowedSYCLInitializer(VarDecl *VD,
bool CheckValueDependent = false);
// Adds a scheduler_target_fmax_mhz attribute to a particular declaration.
void addSYCLIntelSchedulerTargetFmaxMhzAttr(Decl *D,
const AttributeCommonInfo &CI,
Expr *E);
//===--------------------------------------------------------------------===//
// C++ Coroutines TS
//
bool ActOnCoroutineBodyStart(Scope *S, SourceLocation KwLoc,
StringRef Keyword);
ExprResult ActOnCoawaitExpr(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult ActOnCoyieldExpr(Scope *S, SourceLocation KwLoc, Expr *E);
StmtResult ActOnCoreturnStmt(Scope *S, SourceLocation KwLoc, Expr *E);
ExprResult BuildResolvedCoawaitExpr(SourceLocation KwLoc, Expr *E,
bool IsImplicit = false);
ExprResult BuildUnresolvedCoawaitExpr(SourceLocation KwLoc, Expr *E,
UnresolvedLookupExpr* Lookup);
ExprResult BuildCoyieldExpr(SourceLocation KwLoc, Expr *E);
StmtResult BuildCoreturnStmt(SourceLocation KwLoc, Expr *E,
bool IsImplicit = false);
StmtResult BuildCoroutineBodyStmt(CoroutineBodyStmt::CtorArgs);
bool buildCoroutineParameterMoves(SourceLocation Loc);
VarDecl *buildCoroutinePromise(SourceLocation Loc);
void CheckCompletedCoroutineBody(FunctionDecl *FD, Stmt *&Body);
ClassTemplateDecl *lookupCoroutineTraits(SourceLocation KwLoc,
SourceLocation FuncLoc);
/// Check that the expression co_await promise.final_suspend() shall not be
/// potentially-throwing.
bool checkFinalSuspendNoThrow(const Stmt *FinalSuspend);
//===--------------------------------------------------------------------===//
// OpenCL extensions.
//
private:
std::string CurrOpenCLExtension;
/// Extensions required by an OpenCL type.
llvm::DenseMap<const Type*, std::set<std::string>> OpenCLTypeExtMap;
/// Extensions required by an OpenCL declaration.
llvm::DenseMap<const Decl*, std::set<std::string>> OpenCLDeclExtMap;
public:
llvm::StringRef getCurrentOpenCLExtension() const {
return CurrOpenCLExtension;
}
/// Check if a function declaration \p FD associates with any
/// extensions present in OpenCLDeclExtMap and if so return the
/// extension(s) name(s).
std::string getOpenCLExtensionsFromDeclExtMap(FunctionDecl *FD);
/// Check if a function type \p FT associates with any
/// extensions present in OpenCLTypeExtMap and if so return the
/// extension(s) name(s).
std::string getOpenCLExtensionsFromTypeExtMap(FunctionType *FT);
/// Find an extension in an appropriate extension map and return its name
template<typename T, typename MapT>
std::string getOpenCLExtensionsFromExtMap(T* FT, MapT &Map);
void setCurrentOpenCLExtension(llvm::StringRef Ext) {
CurrOpenCLExtension = std::string(Ext);
}
/// Set OpenCL extensions for a type which can only be used when these
/// OpenCL extensions are enabled. If \p Exts is empty, do nothing.
/// \param Exts A space separated list of OpenCL extensions.
void setOpenCLExtensionForType(QualType T, llvm::StringRef Exts);
/// Set OpenCL extensions for a declaration which can only be
/// used when these OpenCL extensions are enabled. If \p Exts is empty, do
/// nothing.
/// \param Exts A space separated list of OpenCL extensions.
void setOpenCLExtensionForDecl(Decl *FD, llvm::StringRef Exts);
/// Set current OpenCL extensions for a type which can only be used
/// when these OpenCL extensions are enabled. If current OpenCL extension is
/// empty, do nothing.
void setCurrentOpenCLExtensionForType(QualType T);
/// Set current OpenCL extensions for a declaration which
/// can only be used when these OpenCL extensions are enabled. If current
/// OpenCL extension is empty, do nothing.
void setCurrentOpenCLExtensionForDecl(Decl *FD);
bool isOpenCLDisabledDecl(Decl *FD);
/// Check if type \p T corresponding to declaration specifier \p DS
/// is disabled due to required OpenCL extensions being disabled. If so,
/// emit diagnostics.
/// \return true if type is disabled.
bool checkOpenCLDisabledTypeDeclSpec(const DeclSpec &DS, QualType T);
/// Check if declaration \p D used by expression \p E
/// is disabled due to required OpenCL extensions being disabled. If so,
/// emit diagnostics.
/// \return true if type is disabled.
bool checkOpenCLDisabledDecl(const NamedDecl &D, const Expr &E);
//===--------------------------------------------------------------------===//
// OpenMP directives and clauses.
//
private:
void *VarDataSharingAttributesStack;
/// Number of nested '#pragma omp declare target' directives.
SmallVector<SourceLocation, 4> DeclareTargetNesting;
/// Initialization of data-sharing attributes stack.
void InitDataSharingAttributesStack();
void DestroyDataSharingAttributesStack();
ExprResult
VerifyPositiveIntegerConstantInClause(Expr *Op, OpenMPClauseKind CKind,
bool StrictlyPositive = true);
/// Returns OpenMP nesting level for current directive.
unsigned getOpenMPNestingLevel() const;
/// Adjusts the function scopes index for the target-based regions.
void adjustOpenMPTargetScopeIndex(unsigned &FunctionScopesIndex,
unsigned Level) const;
/// Returns the number of scopes associated with the construct on the given
/// OpenMP level.
int getNumberOfConstructScopes(unsigned Level) const;
/// Push new OpenMP function region for non-capturing function.
void pushOpenMPFunctionRegion();
/// Pop OpenMP function region for non-capturing function.
void popOpenMPFunctionRegion(const sema::FunctionScopeInfo *OldFSI);
/// Checks if a type or a declaration is disabled due to the owning extension
/// being disabled, and emits diagnostic messages if it is disabled.
/// \param D type or declaration to be checked.
/// \param DiagLoc source location for the diagnostic message.
/// \param DiagInfo information to be emitted for the diagnostic message.
/// \param SrcRange source range of the declaration.
/// \param Map maps type or declaration to the extensions.
/// \param Selector selects diagnostic message: 0 for type and 1 for
/// declaration.
/// \return true if the type or declaration is disabled.
template <typename T, typename DiagLocT, typename DiagInfoT, typename MapT>
bool checkOpenCLDisabledTypeOrDecl(T D, DiagLocT DiagLoc, DiagInfoT DiagInfo,
MapT &Map, unsigned Selector = 0,
SourceRange SrcRange = SourceRange());
/// Helper to keep information about the current `omp begin/end declare
/// variant` nesting.
struct OMPDeclareVariantScope {
/// The associated OpenMP context selector.
OMPTraitInfo *TI;
/// The associated OpenMP context selector mangling.
std::string NameSuffix;
OMPDeclareVariantScope(OMPTraitInfo &TI);
};
/// Return the OMPTraitInfo for the surrounding scope, if any.
OMPTraitInfo *getOMPTraitInfoForSurroundingScope() {
return OMPDeclareVariantScopes.empty() ? nullptr
: OMPDeclareVariantScopes.back().TI;
}
/// The current `omp begin/end declare variant` scopes.
SmallVector<OMPDeclareVariantScope, 4> OMPDeclareVariantScopes;
/// The declarator \p D defines a function in the scope \p S which is nested
/// in an `omp begin/end declare variant` scope. In this method we create a
/// declaration for \p D and rename \p D according to the OpenMP context
/// selector of the surrounding scope. Return all base functions in \p Bases.
void ActOnStartOfFunctionDefinitionInOpenMPDeclareVariantScope(
Scope *S, Declarator &D, MultiTemplateParamsArg TemplateParameterLists,
SmallVectorImpl<FunctionDecl *> &Bases);
/// Register \p D as specialization of all base functions in \p Bases in the
/// current `omp begin/end declare variant` scope.
void ActOnFinishedFunctionDefinitionInOpenMPDeclareVariantScope(
Decl *D, SmallVectorImpl<FunctionDecl *> &Bases);
public:
/// Can we exit a scope at the moment.
bool isInOpenMPDeclareVariantScope() {
return !OMPDeclareVariantScopes.empty();
}
/// Given the potential call expression \p Call, determine if there is a
/// specialization via the OpenMP declare variant mechanism available. If
/// there is, return the specialized call expression, otherwise return the
/// original \p Call.
ExprResult ActOnOpenMPCall(ExprResult Call, Scope *Scope,
SourceLocation LParenLoc, MultiExprArg ArgExprs,
SourceLocation RParenLoc, Expr *ExecConfig);
/// Handle a `omp begin declare variant`.
void ActOnOpenMPBeginDeclareVariant(SourceLocation Loc, OMPTraitInfo &TI);
/// Handle a `omp end declare variant`.
void ActOnOpenMPEndDeclareVariant();
/// Checks if the variant/multiversion functions are compatible.
bool areMultiversionVariantFunctionsCompatible(
const FunctionDecl *OldFD, const FunctionDecl *NewFD,
const PartialDiagnostic &NoProtoDiagID,
const PartialDiagnosticAt &NoteCausedDiagIDAt,
const PartialDiagnosticAt &NoSupportDiagIDAt,
const PartialDiagnosticAt &DiffDiagIDAt, bool TemplatesSupported,
bool ConstexprSupported, bool CLinkageMayDiffer);
/// Function tries to capture lambda's captured variables in the OpenMP region
/// before the original lambda is captured.
void tryCaptureOpenMPLambdas(ValueDecl *V);
/// Return true if the provided declaration \a VD should be captured by
/// reference.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
/// \param OpenMPCaptureLevel Capture level within an OpenMP construct.
bool isOpenMPCapturedByRef(const ValueDecl *D, unsigned Level,
unsigned OpenMPCaptureLevel) const;
/// Check if the specified variable is used in one of the private
/// clauses (private, firstprivate, lastprivate, reduction etc.) in OpenMP
/// constructs.
VarDecl *isOpenMPCapturedDecl(ValueDecl *D, bool CheckScopeInfo = false,
unsigned StopAt = 0);
ExprResult getOpenMPCapturedExpr(VarDecl *Capture, ExprValueKind VK,
ExprObjectKind OK, SourceLocation Loc);
/// If the current region is a loop-based region, mark the start of the loop
/// construct.
void startOpenMPLoop();
/// If the current region is a range loop-based region, mark the start of the
/// loop construct.
void startOpenMPCXXRangeFor();
/// Check if the specified variable is used in 'private' clause.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
OpenMPClauseKind isOpenMPPrivateDecl(ValueDecl *D, unsigned Level,
unsigned CapLevel) const;
/// Sets OpenMP capture kind (OMPC_private, OMPC_firstprivate, OMPC_map etc.)
/// for \p FD based on DSA for the provided corresponding captured declaration
/// \p D.
void setOpenMPCaptureKind(FieldDecl *FD, const ValueDecl *D, unsigned Level);
/// Check if the specified variable is captured by 'target' directive.
/// \param Level Relative level of nested OpenMP construct for that the check
/// is performed.
bool isOpenMPTargetCapturedDecl(const ValueDecl *D, unsigned Level,
unsigned CaptureLevel) const;
/// Check if the specified global variable must be captured by outer capture
/// regions.
/// \param Level Relative level of nested OpenMP construct for that
/// the check is performed.
bool isOpenMPGlobalCapturedDecl(ValueDecl *D, unsigned Level,
unsigned CaptureLevel) const;
ExprResult PerformOpenMPImplicitIntegerConversion(SourceLocation OpLoc,
Expr *Op);
/// Called on start of new data sharing attribute block.
void StartOpenMPDSABlock(OpenMPDirectiveKind K,
const DeclarationNameInfo &DirName, Scope *CurScope,
SourceLocation Loc);
/// Start analysis of clauses.
void StartOpenMPClause(OpenMPClauseKind K);
/// End analysis of clauses.
void EndOpenMPClause();
/// Called on end of data sharing attribute block.
void EndOpenMPDSABlock(Stmt *CurDirective);
/// Check if the current region is an OpenMP loop region and if it is,
/// mark loop control variable, used in \p Init for loop initialization, as
/// private by default.
/// \param Init First part of the for loop.
void ActOnOpenMPLoopInitialization(SourceLocation ForLoc, Stmt *Init);
// OpenMP directives and clauses.
/// Called on correct id-expression from the '#pragma omp
/// threadprivate'.
ExprResult ActOnOpenMPIdExpression(Scope *CurScope, CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id,
OpenMPDirectiveKind Kind);
/// Called on well-formed '#pragma omp threadprivate'.
DeclGroupPtrTy ActOnOpenMPThreadprivateDirective(
SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// Builds a new OpenMPThreadPrivateDecl and checks its correctness.
OMPThreadPrivateDecl *CheckOMPThreadPrivateDecl(SourceLocation Loc,
ArrayRef<Expr *> VarList);
/// Called on well-formed '#pragma omp allocate'.
DeclGroupPtrTy ActOnOpenMPAllocateDirective(SourceLocation Loc,
ArrayRef<Expr *> VarList,
ArrayRef<OMPClause *> Clauses,
DeclContext *Owner = nullptr);
/// Called on well-formed '#pragma omp requires'.
DeclGroupPtrTy ActOnOpenMPRequiresDirective(SourceLocation Loc,
ArrayRef<OMPClause *> ClauseList);
/// Check restrictions on Requires directive
OMPRequiresDecl *CheckOMPRequiresDecl(SourceLocation Loc,
ArrayRef<OMPClause *> Clauses);
/// Check if the specified type is allowed to be used in 'omp declare
/// reduction' construct.
QualType ActOnOpenMPDeclareReductionType(SourceLocation TyLoc,
TypeResult ParsedType);
/// Called on start of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveStart(
Scope *S, DeclContext *DC, DeclarationName Name,
ArrayRef<std::pair<QualType, SourceLocation>> ReductionTypes,
AccessSpecifier AS, Decl *PrevDeclInScope = nullptr);
/// Initialize declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerStart(Scope *S, Decl *D);
/// Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionCombinerEnd(Decl *D, Expr *Combiner);
/// Initialize declare reduction construct initializer.
/// \return omp_priv variable.
VarDecl *ActOnOpenMPDeclareReductionInitializerStart(Scope *S, Decl *D);
/// Finish current declare reduction construct initializer.
void ActOnOpenMPDeclareReductionInitializerEnd(Decl *D, Expr *Initializer,
VarDecl *OmpPrivParm);
/// Called at the end of '#pragma omp declare reduction'.
DeclGroupPtrTy ActOnOpenMPDeclareReductionDirectiveEnd(
Scope *S, DeclGroupPtrTy DeclReductions, bool IsValid);
/// Check variable declaration in 'omp declare mapper' construct.
TypeResult ActOnOpenMPDeclareMapperVarDecl(Scope *S, Declarator &D);
/// Check if the specified type is allowed to be used in 'omp declare
/// mapper' construct.
QualType ActOnOpenMPDeclareMapperType(SourceLocation TyLoc,
TypeResult ParsedType);
/// Called on start of '#pragma omp declare mapper'.
DeclGroupPtrTy ActOnOpenMPDeclareMapperDirective(
Scope *S, DeclContext *DC, DeclarationName Name, QualType MapperType,
SourceLocation StartLoc, DeclarationName VN, AccessSpecifier AS,
Expr *MapperVarRef, ArrayRef<OMPClause *> Clauses,
Decl *PrevDeclInScope = nullptr);
/// Build the mapper variable of '#pragma omp declare mapper'.
ExprResult ActOnOpenMPDeclareMapperDirectiveVarDecl(Scope *S,
QualType MapperType,
SourceLocation StartLoc,
DeclarationName VN);
bool isOpenMPDeclareMapperVarDeclAllowed(const VarDecl *VD) const;
const ValueDecl *getOpenMPDeclareMapperVarName() const;
/// Called on the start of target region i.e. '#pragma omp declare target'.
bool ActOnStartOpenMPDeclareTargetDirective(SourceLocation Loc);
/// Called at the end of target region i.e. '#pragme omp end declare target'.
void ActOnFinishOpenMPDeclareTargetDirective();
/// Searches for the provided declaration name for OpenMP declare target
/// directive.
NamedDecl *
lookupOpenMPDeclareTargetName(Scope *CurScope, CXXScopeSpec &ScopeSpec,
const DeclarationNameInfo &Id,
NamedDeclSetType &SameDirectiveDecls);
/// Called on correct id-expression from the '#pragma omp declare target'.
void ActOnOpenMPDeclareTargetName(NamedDecl *ND, SourceLocation Loc,
OMPDeclareTargetDeclAttr::MapTypeTy MT,
OMPDeclareTargetDeclAttr::DevTypeTy DT);
/// Check declaration inside target region.
void
checkDeclIsAllowedInOpenMPTarget(Expr *E, Decl *D,
SourceLocation IdLoc = SourceLocation());
/// Finishes analysis of the deferred functions calls that may be declared as
/// host/nohost during device/host compilation.
void finalizeOpenMPDelayedAnalysis(const FunctionDecl *Caller,
const FunctionDecl *Callee,
SourceLocation Loc);
/// Return true inside OpenMP declare target region.
bool isInOpenMPDeclareTargetContext() const {
return !DeclareTargetNesting.empty();
}
/// Return true inside OpenMP target region.
bool isInOpenMPTargetExecutionDirective() const;
/// Return the number of captured regions created for an OpenMP directive.
static int getOpenMPCaptureLevels(OpenMPDirectiveKind Kind);
/// Initialization of captured region for OpenMP region.
void ActOnOpenMPRegionStart(OpenMPDirectiveKind DKind, Scope *CurScope);
/// End of OpenMP region.
///
/// \param S Statement associated with the current OpenMP region.
/// \param Clauses List of clauses for the current OpenMP region.
///
/// \returns Statement for finished OpenMP region.
StmtResult ActOnOpenMPRegionEnd(StmtResult S, ArrayRef<OMPClause *> Clauses);
StmtResult ActOnOpenMPExecutableDirective(
OpenMPDirectiveKind Kind, const DeclarationNameInfo &DirName,
OpenMPDirectiveKind CancelRegion, ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc, SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
using VarsWithInheritedDSAType =
llvm::SmallDenseMap<const ValueDecl *, const Expr *, 4>;
/// Called on well-formed '\#pragma omp simd' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp for' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPForDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp for simd' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPForSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp sections' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp section' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSectionDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp single' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPSingleDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp master' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterDirective(Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp critical' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPCriticalDirective(const DeclarationNameInfo &DirName,
ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel for' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp parallel sections' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelSectionsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp task' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTaskDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskyield'.
StmtResult ActOnOpenMPTaskyieldDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp barrier'.
StmtResult ActOnOpenMPBarrierDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskwait'.
StmtResult ActOnOpenMPTaskwaitDirective(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp taskgroup'.
StmtResult ActOnOpenMPTaskgroupDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp flush'.
StmtResult ActOnOpenMPFlushDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp depobj'.
StmtResult ActOnOpenMPDepobjDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp scan'.
StmtResult ActOnOpenMPScanDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp ordered' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPOrderedDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp atomic' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPAtomicDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target data' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTargetDataDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target enter data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetEnterDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp target exit data' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetExitDataDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp target parallel' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp cancellation point'.
StmtResult
ActOnOpenMPCancellationPointDirective(SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Called on well-formed '\#pragma omp cancel'.
StmtResult ActOnOpenMPCancelDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
OpenMPDirectiveKind CancelRegion);
/// Called on well-formed '\#pragma omp taskloop' after parsing of the
/// associated statement.
StmtResult
ActOnOpenMPTaskLoopDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp taskloop simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp master taskloop' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPMasterTaskLoopDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp master taskloop simd' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPMasterTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master taskloop' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterTaskLoopDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp parallel master taskloop simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPParallelMasterTaskLoopSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute' after parsing
/// of the associated statement.
StmtResult
ActOnOpenMPDistributeDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target update'.
StmtResult ActOnOpenMPTargetUpdateDirective(ArrayRef<OMPClause *> Clauses,
SourceLocation StartLoc,
SourceLocation EndLoc,
Stmt *AStmt);
/// Called on well-formed '\#pragma omp distribute parallel for' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target parallel for simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target simd' after parsing of
/// the associated statement.
StmtResult
ActOnOpenMPTargetSimdDirective(ArrayRef<OMPClause *> Clauses, Stmt *AStmt,
SourceLocation StartLoc, SourceLocation EndLoc,
VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute' after parsing of
/// the associated statement.
StmtResult ActOnOpenMPTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute simd' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for simd'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams' after parsing of the
/// associated statement.
StmtResult ActOnOpenMPTargetTeamsDirective(ArrayRef<OMPClause *> Clauses,
Stmt *AStmt,
SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed '\#pragma omp target teams distribute' after parsing
/// of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for'
/// after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute parallel for
/// simd' after parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeParallelForSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Called on well-formed '\#pragma omp target teams distribute simd' after
/// parsing of the associated statement.
StmtResult ActOnOpenMPTargetTeamsDistributeSimdDirective(
ArrayRef<OMPClause *> Clauses, Stmt *AStmt, SourceLocation StartLoc,
SourceLocation EndLoc, VarsWithInheritedDSAType &VarsWithImplicitDSA);
/// Checks correctness of linear modifiers.
bool CheckOpenMPLinearModifier(OpenMPLinearClauseKind LinKind,
SourceLocation LinLoc);
/// Checks that the specified declaration matches requirements for the linear
/// decls.
bool CheckOpenMPLinearDecl(const ValueDecl *D, SourceLocation ELoc,
OpenMPLinearClauseKind LinKind, QualType Type,
bool IsDeclareSimd = false);
/// Called on well-formed '\#pragma omp declare simd' after parsing of
/// the associated method/function.
DeclGroupPtrTy ActOnOpenMPDeclareSimdDirective(
DeclGroupPtrTy DG, OMPDeclareSimdDeclAttr::BranchStateTy BS,
Expr *Simdlen, ArrayRef<Expr *> Uniforms, ArrayRef<Expr *> Aligneds,
ArrayRef<Expr *> Alignments, ArrayRef<Expr *> Linears,
ArrayRef<unsigned> LinModifiers, ArrayRef<Expr *> Steps, SourceRange SR);
/// Checks '\#pragma omp declare variant' variant function and original
/// functions after parsing of the associated method/function.
/// \param DG Function declaration to which declare variant directive is
/// applied to.
/// \param VariantRef Expression that references the variant function, which
/// must be used instead of the original one, specified in \p DG.
/// \param TI The trait info object representing the match clause.
/// \returns None, if the function/variant function are not compatible with
/// the pragma, pair of original function/variant ref expression otherwise.
Optional<std::pair<FunctionDecl *, Expr *>>
checkOpenMPDeclareVariantFunction(DeclGroupPtrTy DG, Expr *VariantRef,
OMPTraitInfo &TI, SourceRange SR);
/// Called on well-formed '\#pragma omp declare variant' after parsing of
/// the associated method/function.
/// \param FD Function declaration to which declare variant directive is
/// applied to.
/// \param VariantRef Expression that references the variant function, which
/// must be used instead of the original one, specified in \p DG.
/// \param TI The context traits associated with the function variant.
void ActOnOpenMPDeclareVariantDirective(FunctionDecl *FD, Expr *VariantRef,
OMPTraitInfo &TI, SourceRange SR);
OMPClause *ActOnOpenMPSingleExprClause(OpenMPClauseKind Kind,
Expr *Expr,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'allocator' clause.
OMPClause *ActOnOpenMPAllocatorClause(Expr *Allocator,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'if' clause.
OMPClause *ActOnOpenMPIfClause(OpenMPDirectiveKind NameModifier,
Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation NameModifierLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// Called on well-formed 'final' clause.
OMPClause *ActOnOpenMPFinalClause(Expr *Condition, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'num_threads' clause.
OMPClause *ActOnOpenMPNumThreadsClause(Expr *NumThreads,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'safelen' clause.
OMPClause *ActOnOpenMPSafelenClause(Expr *Length,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'simdlen' clause.
OMPClause *ActOnOpenMPSimdlenClause(Expr *Length, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'collapse' clause.
OMPClause *ActOnOpenMPCollapseClause(Expr *NumForLoops,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'ordered' clause.
OMPClause *
ActOnOpenMPOrderedClause(SourceLocation StartLoc, SourceLocation EndLoc,
SourceLocation LParenLoc = SourceLocation(),
Expr *NumForLoops = nullptr);
/// Called on well-formed 'grainsize' clause.
OMPClause *ActOnOpenMPGrainsizeClause(Expr *Size, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'num_tasks' clause.
OMPClause *ActOnOpenMPNumTasksClause(Expr *NumTasks, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'hint' clause.
OMPClause *ActOnOpenMPHintClause(Expr *Hint, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'detach' clause.
OMPClause *ActOnOpenMPDetachClause(Expr *Evt, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSimpleClause(OpenMPClauseKind Kind,
unsigned Argument,
SourceLocation ArgumentLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'default' clause.
OMPClause *ActOnOpenMPDefaultClause(llvm::omp::DefaultKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'proc_bind' clause.
OMPClause *ActOnOpenMPProcBindClause(llvm::omp::ProcBindKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'order' clause.
OMPClause *ActOnOpenMPOrderClause(OpenMPOrderClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'update' clause.
OMPClause *ActOnOpenMPUpdateClause(OpenMPDependClauseKind Kind,
SourceLocation KindLoc,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
OMPClause *ActOnOpenMPSingleExprWithArgClause(
OpenMPClauseKind Kind, ArrayRef<unsigned> Arguments, Expr *Expr,
SourceLocation StartLoc, SourceLocation LParenLoc,
ArrayRef<SourceLocation> ArgumentsLoc, SourceLocation DelimLoc,
SourceLocation EndLoc);
/// Called on well-formed 'schedule' clause.
OMPClause *ActOnOpenMPScheduleClause(
OpenMPScheduleClauseModifier M1, OpenMPScheduleClauseModifier M2,
OpenMPScheduleClauseKind Kind, Expr *ChunkSize, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation M1Loc, SourceLocation M2Loc,
SourceLocation KindLoc, SourceLocation CommaLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPClause(OpenMPClauseKind Kind, SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nowait' clause.
OMPClause *ActOnOpenMPNowaitClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'untied' clause.
OMPClause *ActOnOpenMPUntiedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'mergeable' clause.
OMPClause *ActOnOpenMPMergeableClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'read' clause.
OMPClause *ActOnOpenMPReadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'write' clause.
OMPClause *ActOnOpenMPWriteClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'update' clause.
OMPClause *ActOnOpenMPUpdateClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'capture' clause.
OMPClause *ActOnOpenMPCaptureClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'seq_cst' clause.
OMPClause *ActOnOpenMPSeqCstClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'acq_rel' clause.
OMPClause *ActOnOpenMPAcqRelClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'acquire' clause.
OMPClause *ActOnOpenMPAcquireClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'release' clause.
OMPClause *ActOnOpenMPReleaseClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'relaxed' clause.
OMPClause *ActOnOpenMPRelaxedClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'destroy' clause.
OMPClause *ActOnOpenMPDestroyClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'threads' clause.
OMPClause *ActOnOpenMPThreadsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'simd' clause.
OMPClause *ActOnOpenMPSIMDClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'nogroup' clause.
OMPClause *ActOnOpenMPNogroupClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'unified_address' clause.
OMPClause *ActOnOpenMPUnifiedAddressClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'unified_address' clause.
OMPClause *ActOnOpenMPUnifiedSharedMemoryClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'reverse_offload' clause.
OMPClause *ActOnOpenMPReverseOffloadClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'dynamic_allocators' clause.
OMPClause *ActOnOpenMPDynamicAllocatorsClause(SourceLocation StartLoc,
SourceLocation EndLoc);
/// Called on well-formed 'atomic_default_mem_order' clause.
OMPClause *ActOnOpenMPAtomicDefaultMemOrderClause(
OpenMPAtomicDefaultMemOrderClauseKind Kind, SourceLocation KindLoc,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation EndLoc);
OMPClause *ActOnOpenMPVarListClause(
OpenMPClauseKind Kind, ArrayRef<Expr *> Vars, Expr *DepModOrTailExpr,
const OMPVarListLocTy &Locs, SourceLocation ColonLoc,
CXXScopeSpec &ReductionOrMapperIdScopeSpec,
DeclarationNameInfo &ReductionOrMapperId, int ExtraModifier,
ArrayRef<OpenMPMapModifierKind> MapTypeModifiers,
ArrayRef<SourceLocation> MapTypeModifiersLoc, bool IsMapTypeImplicit,
SourceLocation ExtraModifierLoc,
ArrayRef<OpenMPMotionModifierKind> MotionModifiers,
ArrayRef<SourceLocation> MotionModifiersLoc);
/// Called on well-formed 'inclusive' clause.
OMPClause *ActOnOpenMPInclusiveClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'exclusive' clause.
OMPClause *ActOnOpenMPExclusiveClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'allocate' clause.
OMPClause *
ActOnOpenMPAllocateClause(Expr *Allocator, ArrayRef<Expr *> VarList,
SourceLocation StartLoc, SourceLocation ColonLoc,
SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'private' clause.
OMPClause *ActOnOpenMPPrivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'firstprivate' clause.
OMPClause *ActOnOpenMPFirstprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'lastprivate' clause.
OMPClause *ActOnOpenMPLastprivateClause(
ArrayRef<Expr *> VarList, OpenMPLastprivateModifier LPKind,
SourceLocation LPKindLoc, SourceLocation ColonLoc,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'shared' clause.
OMPClause *ActOnOpenMPSharedClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'reduction' clause.
OMPClause *ActOnOpenMPReductionClause(
ArrayRef<Expr *> VarList, OpenMPReductionClauseModifier Modifier,
SourceLocation StartLoc, SourceLocation LParenLoc,
SourceLocation ModifierLoc, SourceLocation ColonLoc,
SourceLocation EndLoc, CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'task_reduction' clause.
OMPClause *ActOnOpenMPTaskReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'in_reduction' clause.
OMPClause *ActOnOpenMPInReductionClause(
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation ColonLoc, SourceLocation EndLoc,
CXXScopeSpec &ReductionIdScopeSpec,
const DeclarationNameInfo &ReductionId,
ArrayRef<Expr *> UnresolvedReductions = llvm::None);
/// Called on well-formed 'linear' clause.
OMPClause *
ActOnOpenMPLinearClause(ArrayRef<Expr *> VarList, Expr *Step,
SourceLocation StartLoc, SourceLocation LParenLoc,
OpenMPLinearClauseKind LinKind, SourceLocation LinLoc,
SourceLocation ColonLoc, SourceLocation EndLoc);
/// Called on well-formed 'aligned' clause.
OMPClause *ActOnOpenMPAlignedClause(ArrayRef<Expr *> VarList,
Expr *Alignment,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc);
/// Called on well-formed 'copyin' clause.
OMPClause *ActOnOpenMPCopyinClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'copyprivate' clause.
OMPClause *ActOnOpenMPCopyprivateClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'flush' pseudo clause.
OMPClause *ActOnOpenMPFlushClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'depobj' pseudo clause.
OMPClause *ActOnOpenMPDepobjClause(Expr *Depobj, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'depend' clause.
OMPClause *
ActOnOpenMPDependClause(Expr *DepModifier, OpenMPDependClauseKind DepKind,
SourceLocation DepLoc, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, SourceLocation StartLoc,
SourceLocation LParenLoc, SourceLocation EndLoc);
/// Called on well-formed 'device' clause.
OMPClause *ActOnOpenMPDeviceClause(OpenMPDeviceClauseModifier Modifier,
Expr *Device, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ModifierLoc,
SourceLocation EndLoc);
/// Called on well-formed 'map' clause.
OMPClause *
ActOnOpenMPMapClause(ArrayRef<OpenMPMapModifierKind> MapTypeModifiers,
ArrayRef<SourceLocation> MapTypeModifiersLoc,
CXXScopeSpec &MapperIdScopeSpec,
DeclarationNameInfo &MapperId,
OpenMPMapClauseKind MapType, bool IsMapTypeImplicit,
SourceLocation MapLoc, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, const OMPVarListLocTy &Locs,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'num_teams' clause.
OMPClause *ActOnOpenMPNumTeamsClause(Expr *NumTeams, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'thread_limit' clause.
OMPClause *ActOnOpenMPThreadLimitClause(Expr *ThreadLimit,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'priority' clause.
OMPClause *ActOnOpenMPPriorityClause(Expr *Priority, SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Called on well-formed 'dist_schedule' clause.
OMPClause *ActOnOpenMPDistScheduleClause(
OpenMPDistScheduleClauseKind Kind, Expr *ChunkSize,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation KindLoc,
SourceLocation CommaLoc, SourceLocation EndLoc);
/// Called on well-formed 'defaultmap' clause.
OMPClause *ActOnOpenMPDefaultmapClause(
OpenMPDefaultmapClauseModifier M, OpenMPDefaultmapClauseKind Kind,
SourceLocation StartLoc, SourceLocation LParenLoc, SourceLocation MLoc,
SourceLocation KindLoc, SourceLocation EndLoc);
/// Called on well-formed 'to' clause.
OMPClause *
ActOnOpenMPToClause(ArrayRef<OpenMPMotionModifierKind> MotionModifiers,
ArrayRef<SourceLocation> MotionModifiersLoc,
CXXScopeSpec &MapperIdScopeSpec,
DeclarationNameInfo &MapperId, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, const OMPVarListLocTy &Locs,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'from' clause.
OMPClause *
ActOnOpenMPFromClause(ArrayRef<OpenMPMotionModifierKind> MotionModifiers,
ArrayRef<SourceLocation> MotionModifiersLoc,
CXXScopeSpec &MapperIdScopeSpec,
DeclarationNameInfo &MapperId, SourceLocation ColonLoc,
ArrayRef<Expr *> VarList, const OMPVarListLocTy &Locs,
ArrayRef<Expr *> UnresolvedMappers = llvm::None);
/// Called on well-formed 'use_device_ptr' clause.
OMPClause *ActOnOpenMPUseDevicePtrClause(ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs);
/// Called on well-formed 'use_device_addr' clause.
OMPClause *ActOnOpenMPUseDeviceAddrClause(ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs);
/// Called on well-formed 'is_device_ptr' clause.
OMPClause *ActOnOpenMPIsDevicePtrClause(ArrayRef<Expr *> VarList,
const OMPVarListLocTy &Locs);
/// Called on well-formed 'nontemporal' clause.
OMPClause *ActOnOpenMPNontemporalClause(ArrayRef<Expr *> VarList,
SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc);
/// Data for list of allocators.
struct UsesAllocatorsData {
/// Allocator.
Expr *Allocator = nullptr;
/// Allocator traits.
Expr *AllocatorTraits = nullptr;
/// Locations of '(' and ')' symbols.
SourceLocation LParenLoc, RParenLoc;
};
/// Called on well-formed 'uses_allocators' clause.
OMPClause *ActOnOpenMPUsesAllocatorClause(SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation EndLoc,
ArrayRef<UsesAllocatorsData> Data);
/// Called on well-formed 'affinity' clause.
OMPClause *ActOnOpenMPAffinityClause(SourceLocation StartLoc,
SourceLocation LParenLoc,
SourceLocation ColonLoc,
SourceLocation EndLoc, Expr *Modifier,
ArrayRef<Expr *> Locators);
/// The kind of conversion being performed.
enum CheckedConversionKind {
/// An implicit conversion.
CCK_ImplicitConversion,
/// A C-style cast.
CCK_CStyleCast,
/// A functional-style cast.
CCK_FunctionalCast,
/// A cast other than a C-style cast.
CCK_OtherCast,
/// A conversion for an operand of a builtin overloaded operator.
CCK_ForBuiltinOverloadedOp
};
static bool isCast(CheckedConversionKind CCK) {
return CCK == CCK_CStyleCast || CCK == CCK_FunctionalCast ||
CCK == CCK_OtherCast;
}
/// ImpCastExprToType - If Expr is not of type 'Type', insert an implicit
/// cast. If there is already an implicit cast, merge into the existing one.
/// If isLvalue, the result of the cast is an lvalue.
ExprResult ImpCastExprToType(Expr *E, QualType Type, CastKind CK,
ExprValueKind VK = VK_RValue,
const CXXCastPath *BasePath = nullptr,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
/// ScalarTypeToBooleanCastKind - Returns the cast kind corresponding
/// to the conversion from scalar type ScalarTy to the Boolean type.
static CastKind ScalarTypeToBooleanCastKind(QualType ScalarTy);
/// IgnoredValueConversions - Given that an expression's result is
/// syntactically ignored, perform any conversions that are
/// required.
ExprResult IgnoredValueConversions(Expr *E);
// UsualUnaryConversions - promotes integers (C99 6.3.1.1p2) and converts
// functions and arrays to their respective pointers (C99 6.3.2.1).
ExprResult UsualUnaryConversions(Expr *E);
/// CallExprUnaryConversions - a special case of an unary conversion
/// performed on a function designator of a call expression.
ExprResult CallExprUnaryConversions(Expr *E);
// DefaultFunctionArrayConversion - converts functions and arrays
// to their respective pointers (C99 6.3.2.1).
ExprResult DefaultFunctionArrayConversion(Expr *E, bool Diagnose = true);
// DefaultFunctionArrayLvalueConversion - converts functions and
// arrays to their respective pointers and performs the
// lvalue-to-rvalue conversion.
ExprResult DefaultFunctionArrayLvalueConversion(Expr *E,
bool Diagnose = true);
// DefaultLvalueConversion - performs lvalue-to-rvalue conversion on
// the operand. This function is a no-op if the operand has a function type
// or an array type.
ExprResult DefaultLvalueConversion(Expr *E);
// DefaultArgumentPromotion (C99 6.5.2.2p6). Used for function calls that
// do not have a prototype. Integer promotions are performed on each
// argument, and arguments that have type float are promoted to double.
ExprResult DefaultArgumentPromotion(Expr *E);
/// If \p E is a prvalue denoting an unmaterialized temporary, materialize
/// it as an xvalue. In C++98, the result will still be a prvalue, because
/// we don't have xvalues there.
ExprResult TemporaryMaterializationConversion(Expr *E);
// Used for emitting the right warning by DefaultVariadicArgumentPromotion
enum VariadicCallType {
VariadicFunction,
VariadicBlock,
VariadicMethod,
VariadicConstructor,
VariadicDoesNotApply
};
VariadicCallType getVariadicCallType(FunctionDecl *FDecl,
const FunctionProtoType *Proto,
Expr *Fn);
// Used for determining in which context a type is allowed to be passed to a
// vararg function.
enum VarArgKind {
VAK_Valid,
VAK_ValidInCXX11,
VAK_Undefined,
VAK_MSVCUndefined,
VAK_Invalid
};
// Determines which VarArgKind fits an expression.
VarArgKind isValidVarArgType(const QualType &Ty);
/// Check to see if the given expression is a valid argument to a variadic
/// function, issuing a diagnostic if not.
void checkVariadicArgument(const Expr *E, VariadicCallType CT);
/// Check to see if a given expression could have '.c_str()' called on it.
bool hasCStrMethod(const Expr *E);
/// GatherArgumentsForCall - Collector argument expressions for various
/// form of call prototypes.
bool GatherArgumentsForCall(SourceLocation CallLoc, FunctionDecl *FDecl,
const FunctionProtoType *Proto,
unsigned FirstParam, ArrayRef<Expr *> Args,
SmallVectorImpl<Expr *> &AllArgs,
VariadicCallType CallType = VariadicDoesNotApply,
bool AllowExplicit = false,
bool IsListInitialization = false);
// DefaultVariadicArgumentPromotion - Like DefaultArgumentPromotion, but
// will create a runtime trap if the resulting type is not a POD type.
ExprResult DefaultVariadicArgumentPromotion(Expr *E, VariadicCallType CT,
FunctionDecl *FDecl);
/// Context in which we're performing a usual arithmetic conversion.
enum ArithConvKind {
/// An arithmetic operation.
ACK_Arithmetic,
/// A bitwise operation.
ACK_BitwiseOp,
/// A comparison.
ACK_Comparison,
/// A conditional (?:) operator.
ACK_Conditional,
/// A compound assignment expression.
ACK_CompAssign,
};
// 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,
SourceLocation Loc, ArithConvKind ACK);
/// 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,
/// IncompatibleFunctionPointer - The assignment is between two function
/// pointers types that are not compatible, but we accept them as an
/// extension.
IncompatibleFunctionPointer,
/// IncompatiblePointerSign - The assignment is between two pointers types
/// which point to integers which have a different sign, but are otherwise
/// identical. This is a subset of the above, but broken out because it's by
/// far the most common case of incompatible pointers.
IncompatiblePointerSign,
/// CompatiblePointerDiscardsQualifiers - The assignment discards
/// c/v/r qualifiers, which we accept as an extension.
CompatiblePointerDiscardsQualifiers,
/// IncompatiblePointerDiscardsQualifiers - The assignment
/// discards qualifiers that we don't permit to be discarded,
/// like address spaces.
IncompatiblePointerDiscardsQualifiers,
/// IncompatibleNestedPointerAddressSpaceMismatch - The assignment
/// changes address spaces in nested pointer types which is not allowed.
/// For instance, converting __private int ** to __generic int ** is
/// illegal even though __private could be converted to __generic.
IncompatibleNestedPointerAddressSpaceMismatch,
/// IncompatibleNestedPointerQualifiers - The assignment is between two
/// nested pointer types, and the qualifiers other than the first two
/// levels differ e.g. char ** -> const char **, but we accept them as an
/// extension.
IncompatibleNestedPointerQualifiers,
/// IncompatibleVectors - The assignment is between two vector types that
/// have the same size, which we accept as an extension.
IncompatibleVectors,
/// IntToBlockPointer - The assignment converts an int to a block
/// pointer. We disallow this.
IntToBlockPointer,
/// IncompatibleBlockPointer - The assignment is between two block
/// pointers types that are not compatible.
IncompatibleBlockPointer,
/// IncompatibleObjCQualifiedId - The assignment is between a qualified
/// id type and something else (that is incompatible with it). For example,
/// "id <XXX>" = "Foo *", where "Foo *" doesn't implement the XXX protocol.
IncompatibleObjCQualifiedId,
/// IncompatibleObjCWeakRef - Assigning a weak-unavailable object to an
/// object with __weak qualifier.
IncompatibleObjCWeakRef,
/// Incompatible - We reject this conversion outright, it is invalid to
/// represent it in the AST.
Incompatible
};
/// DiagnoseAssignmentResult - Emit a diagnostic, if required, for the
/// assignment conversion type specified by ConvTy. This returns true if the
/// conversion was invalid or false if the conversion was accepted.
bool DiagnoseAssignmentResult(AssignConvertType ConvTy,
SourceLocation Loc,
QualType DstType, QualType SrcType,
Expr *SrcExpr, AssignmentAction Action,
bool *Complained = nullptr);
/// IsValueInFlagEnum - Determine if a value is allowed as part of a flag
/// enum. If AllowMask is true, then we also allow the complement of a valid
/// value, to be used as a mask.
bool IsValueInFlagEnum(const EnumDecl *ED, const llvm::APInt &Val,
bool AllowMask) const;
/// DiagnoseAssignmentEnum - Warn if assignment to enum is a constant
/// integer not in the range of enum values.
void DiagnoseAssignmentEnum(QualType DstType, QualType SrcType,
Expr *SrcExpr);
/// CheckAssignmentConstraints - Perform type checking for assignment,
/// argument passing, variable initialization, and function return values.
/// C99 6.5.16.
AssignConvertType CheckAssignmentConstraints(SourceLocation Loc,
QualType LHSType,
QualType RHSType);
/// Check assignment constraints and optionally prepare for a conversion of
/// the RHS to the LHS type. The conversion is prepared for if ConvertRHS
/// is true.
AssignConvertType CheckAssignmentConstraints(QualType LHSType,
ExprResult &RHS,
CastKind &Kind,
bool ConvertRHS = true);
/// Check assignment constraints for an assignment of RHS to LHSType.
///
/// \param LHSType The destination type for the assignment.
/// \param RHS The source expression for the assignment.
/// \param Diagnose If \c true, diagnostics may be produced when checking
/// for assignability. If a diagnostic is produced, \p RHS will be
/// set to ExprError(). Note that this function may still return
/// without producing a diagnostic, even for an invalid assignment.
/// \param DiagnoseCFAudited If \c true, the target is a function parameter
/// in an audited Core Foundation API and does not need to be checked
/// for ARC retain issues.
/// \param ConvertRHS If \c true, \p RHS will be updated to model the
/// conversions necessary to perform the assignment. If \c false,
/// \p Diagnose must also be \c false.
AssignConvertType CheckSingleAssignmentConstraints(
QualType LHSType, ExprResult &RHS, bool Diagnose = true,
bool DiagnoseCFAudited = false, bool ConvertRHS = true);
// If the lhs type is a transparent union, check whether we
// can initialize the transparent union with the given expression.
AssignConvertType CheckTransparentUnionArgumentConstraints(QualType ArgType,
ExprResult &RHS);
bool IsStringLiteralToNonConstPointerConversion(Expr *From, QualType ToType);
bool CheckExceptionSpecCompatibility(Expr *From, QualType ToType);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
AssignmentAction Action,
bool AllowExplicit = false);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const ImplicitConversionSequence& ICS,
AssignmentAction Action,
CheckedConversionKind CCK
= CCK_ImplicitConversion);
ExprResult PerformImplicitConversion(Expr *From, QualType ToType,
const StandardConversionSequence& SCS,
AssignmentAction Action,
CheckedConversionKind CCK);
ExprResult PerformQualificationConversion(
Expr *E, QualType Ty, ExprValueKind VK = VK_RValue,
CheckedConversionKind CCK = CCK_ImplicitConversion);
/// the following "Check" methods will return a valid/converted QualType
/// or a null QualType (indicating an error diagnostic was issued).
/// type checking binary operators (subroutines of CreateBuiltinBinOp).
QualType InvalidOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType InvalidLogicalVectorOperands(SourceLocation Loc, ExprResult &LHS,
ExprResult &RHS);
QualType CheckPointerToMemberOperands( // C++ 5.5
ExprResult &LHS, ExprResult &RHS, ExprValueKind &VK,
SourceLocation OpLoc, bool isIndirect);
QualType CheckMultiplyDivideOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc, bool IsCompAssign,
bool IsDivide);
QualType CheckRemainderOperands( // C99 6.5.5
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
bool IsCompAssign = false);
QualType CheckAdditionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, QualType* CompLHSTy = nullptr);
QualType CheckSubtractionOperands( // C99 6.5.6
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
QualType* CompLHSTy = nullptr);
QualType CheckShiftOperands( // C99 6.5.7
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc, bool IsCompAssign = false);
void CheckPtrComparisonWithNullChar(ExprResult &E, ExprResult &NullE);
QualType CheckCompareOperands( // C99 6.5.8/9
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckBitwiseOperands( // C99 6.5.[10...12]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckLogicalOperands( // C99 6.5.[13,14]
ExprResult &LHS, ExprResult &RHS, SourceLocation Loc,
BinaryOperatorKind Opc);
// CheckAssignmentOperands is used for both simple and compound assignment.
// For simple assignment, pass both expressions and a null converted type.
// For compound assignment, pass both expressions and the converted type.
QualType CheckAssignmentOperands( // C99 6.5.16.[1,2]
Expr *LHSExpr, ExprResult &RHS, SourceLocation Loc, QualType CompoundType);
ExprResult checkPseudoObjectIncDec(Scope *S, SourceLocation OpLoc,
UnaryOperatorKind Opcode, Expr *Op);
ExprResult checkPseudoObjectAssignment(Scope *S, SourceLocation OpLoc,
BinaryOperatorKind Opcode,
Expr *LHS, Expr *RHS);
ExprResult checkPseudoObjectRValue(Expr *E);
Expr *recreateSyntacticForm(PseudoObjectExpr *E);
QualType CheckConditionalOperands( // C99 6.5.15
ExprResult &Cond, ExprResult &LHS, ExprResult &RHS,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation QuestionLoc);
QualType CXXCheckConditionalOperands( // C++ 5.16
ExprResult &cond, ExprResult &lhs, ExprResult &rhs,
ExprValueKind &VK, ExprObjectKind &OK, SourceLocation questionLoc);
QualType CheckGNUVectorConditionalTypes(ExprResult &Cond, ExprResult &LHS,
ExprResult &RHS,
SourceLocation QuestionLoc);
QualType FindCompositePointerType(SourceLocation Loc, Expr *&E1, Expr *&E2,
bool ConvertArgs = true);
QualType FindCompositePointerType(SourceLocation Loc,
ExprResult &E1, ExprResult &E2,
bool ConvertArgs = true) {
Expr *E1Tmp = E1.get(), *E2Tmp = E2.get();
QualType Composite =
FindCompositePointerType(Loc, E1Tmp, E2Tmp, ConvertArgs);
E1 = E1Tmp;
E2 = E2Tmp;
return Composite;
}
QualType FindCompositeObjCPointerType(ExprResult &LHS, ExprResult &RHS,
SourceLocation QuestionLoc);
bool DiagnoseConditionalForNull(Expr *LHSExpr, Expr *RHSExpr,
SourceLocation QuestionLoc);
void DiagnoseAlwaysNonNullPointer(Expr *E,
Expr::NullPointerConstantKind NullType,
bool IsEqual, SourceRange Range);
/// type checking for vector binary operators.
QualType CheckVectorOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool IsCompAssign,
bool AllowBothBool, bool AllowBoolConversion);
QualType GetSignedVectorType(QualType V);
QualType CheckVectorCompareOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc,
BinaryOperatorKind Opc);
QualType CheckVectorLogicalOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc);
/// Type checking for matrix binary operators.
QualType CheckMatrixElementwiseOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc,
bool IsCompAssign);
QualType CheckMatrixMultiplyOperands(ExprResult &LHS, ExprResult &RHS,
SourceLocation Loc, bool IsCompAssign);
bool areLaxCompatibleVectorTypes(QualType srcType, QualType destType);
bool isLaxVectorConversion(QualType srcType, QualType destType);
/// type checking declaration initializers (C99 6.7.8)
bool CheckForConstantInitializer(Expr *e, QualType t);
// type checking C++ declaration initializers (C++ [dcl.init]).
/// ReferenceCompareResult - Expresses the result of comparing two
/// types (cv1 T1 and cv2 T2) to determine their compatibility for the
/// purposes of initialization by reference (C++ [dcl.init.ref]p4).
enum ReferenceCompareResult {
/// Ref_Incompatible - The two types are incompatible, so direct
/// reference binding is not possible.
Ref_Incompatible = 0,
/// Ref_Related - The two types are reference-related, which means
/// that their unqualified forms (T1 and T2) are either the same
/// or T1 is a base class of T2.
Ref_Related,
/// Ref_Compatible - The two types are reference-compatible.
Ref_Compatible
};
// Fake up a scoped enumeration that still contextually converts to bool.
struct ReferenceConversionsScope {
/// The conversions that would be performed on an lvalue of type T2 when
/// binding a reference of type T1 to it, as determined when evaluating
/// whether T1 is reference-compatible with T2.
enum ReferenceConversions {
Qualification = 0x1,
NestedQualification = 0x2,
Function = 0x4,
DerivedToBase = 0x8,
ObjC = 0x10,
ObjCLifetime = 0x20,
LLVM_MARK_AS_BITMASK_ENUM(/*LargestValue=*/ObjCLifetime)
};
};
using ReferenceConversions = ReferenceConversionsScope::ReferenceConversions;
ReferenceCompareResult
CompareReferenceRelationship(SourceLocation Loc, QualType T1, QualType T2,
ReferenceConversions *Conv = nullptr);
ExprResult checkUnknownAnyCast(SourceRange TypeRange, QualType CastType,
Expr *CastExpr, CastKind &CastKind,
ExprValueKind &VK, CXXCastPath &Path);
/// Force an expression with unknown-type to an expression of the
/// given type.
ExprResult forceUnknownAnyToType(Expr *E, QualType ToType);
/// Type-check an expression that's being passed to an
/// __unknown_anytype parameter.
ExprResult checkUnknownAnyArg(SourceLocation callLoc,
Expr *result, QualType ¶mType);
// CheckVectorCast - check type constraints for vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size.
// returns true if the cast is invalid
bool CheckVectorCast(SourceRange R, QualType VectorTy, QualType Ty,
CastKind &Kind);
/// Prepare `SplattedExpr` for a vector splat operation, adding
/// implicit casts if necessary.
ExprResult prepareVectorSplat(QualType VectorTy, Expr *SplattedExpr);
// CheckExtVectorCast - check type constraints for extended vectors.
// Since vectors are an extension, there are no C standard reference for this.
// We allow casting between vectors and integer datatypes of the same size,
// or vectors and the element type of that vector.
// returns the cast expr
ExprResult CheckExtVectorCast(SourceRange R, QualType DestTy, Expr *CastExpr,
CastKind &Kind);
ExprResult BuildCXXFunctionalCastExpr(TypeSourceInfo *TInfo, QualType Type,
SourceLocation LParenLoc,
Expr *CastExpr,
SourceLocation RParenLoc);
enum ARCConversionResult { ACR_okay, ACR_unbridged, ACR_error };
/// Checks for invalid conversions and casts between
/// retainable pointers and other pointer kinds for ARC and Weak.
ARCConversionResult CheckObjCConversion(SourceRange castRange,
QualType castType, Expr *&op,
CheckedConversionKind CCK,
bool Diagnose = true,
bool DiagnoseCFAudited = false,
BinaryOperatorKind Opc = BO_PtrMemD
);
Expr *stripARCUnbridgedCast(Expr *e);
void diagnoseARCUnbridgedCast(Expr *e);
bool CheckObjCARCUnavailableWeakConversion(QualType castType,
QualType ExprType);
/// checkRetainCycles - Check whether an Objective-C message send
/// might create an obvious retain cycle.
void checkRetainCycles(ObjCMessageExpr *msg);
void checkRetainCycles(Expr *receiver, Expr *argument);
void checkRetainCycles(VarDecl *Var, Expr *Init);
/// checkUnsafeAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained type.
bool checkUnsafeAssigns(SourceLocation Loc, QualType LHS, Expr *RHS);
/// checkUnsafeExprAssigns - Check whether +1 expr is being assigned
/// to weak/__unsafe_unretained expression.
void checkUnsafeExprAssigns(SourceLocation Loc, Expr *LHS, Expr *RHS);
/// CheckMessageArgumentTypes - Check types in an Obj-C message send.
/// \param Method - May be null.
/// \param [out] ReturnType - The return type of the send.
/// \return true iff there were any incompatible types.
bool CheckMessageArgumentTypes(const Expr *Receiver, QualType ReceiverType,
MultiExprArg Args, Selector Sel,
ArrayRef<SourceLocation> SelectorLocs,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage, SourceLocation lbrac,
SourceLocation rbrac, SourceRange RecRange,
QualType &ReturnType, ExprValueKind &VK);
/// Determine the result of a message send expression based on
/// the type of the receiver, the method expected to receive the message,
/// and the form of the message send.
QualType getMessageSendResultType(const Expr *Receiver, QualType ReceiverType,
ObjCMethodDecl *Method, bool isClassMessage,
bool isSuperMessage);
/// If the given expression involves a message send to a method
/// with a related result type, emit a note describing what happened.
void EmitRelatedResultTypeNote(const Expr *E);
/// Given that we had incompatible pointer types in a return
/// statement, check whether we're in a method with a related result
/// type, and if so, emit a note describing what happened.
void EmitRelatedResultTypeNoteForReturn(QualType destType);
class ConditionResult {
Decl *ConditionVar;
FullExprArg Condition;
bool Invalid;
bool HasKnownValue;
bool KnownValue;
friend class Sema;
ConditionResult(Sema &S, Decl *ConditionVar, FullExprArg Condition,
bool IsConstexpr)
: ConditionVar(ConditionVar), Condition(Condition), Invalid(false),
HasKnownValue(IsConstexpr && Condition.get() &&
!Condition.get()->isValueDependent()),
KnownValue(HasKnownValue &&
!!Condition.get()->EvaluateKnownConstInt(S.Context)) {}
explicit ConditionResult(bool Invalid)
: ConditionVar(nullptr), Condition(nullptr), Invalid(Invalid),
HasKnownValue(false), KnownValue(false) {}
public:
ConditionResult() : ConditionResult(false) {}
bool isInvalid() const { return Invalid; }
std::pair<VarDecl *, Expr *> get() const {
return std::make_pair(cast_or_null<VarDecl>(ConditionVar),
Condition.get());
}
llvm::Optional<bool> getKnownValue() const {
if (!HasKnownValue)
return None;
return KnownValue;
}
};
static ConditionResult ConditionError() { return ConditionResult(true); }
enum class ConditionKind {
Boolean, ///< A boolean condition, from 'if', 'while', 'for', or 'do'.
ConstexprIf, ///< A constant boolean condition from 'if constexpr'.
Switch ///< An integral condition for a 'switch' statement.
};
ConditionResult ActOnCondition(Scope *S, SourceLocation Loc,
Expr *SubExpr, ConditionKind CK);
ConditionResult ActOnConditionVariable(Decl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
DeclResult ActOnCXXConditionDeclaration(Scope *S, Declarator &D);
ExprResult CheckConditionVariable(VarDecl *ConditionVar,
SourceLocation StmtLoc,
ConditionKind CK);
ExprResult CheckSwitchCondition(SourceLocation SwitchLoc, Expr *Cond);
/// CheckBooleanCondition - Diagnose problems involving the use of
/// the given expression as a boolean condition (e.g. in an if
/// statement). Also performs the standard function and array
/// decays, possibly changing the input variable.
///
/// \param Loc - A location associated with the condition, e.g. the
/// 'if' keyword.
/// \return true iff there were any errors
ExprResult CheckBooleanCondition(SourceLocation Loc, Expr *E,
bool IsConstexpr = false);
/// ActOnExplicitBoolSpecifier - Build an ExplicitSpecifier from an expression
/// found in an explicit(bool) specifier.
ExplicitSpecifier ActOnExplicitBoolSpecifier(Expr *E);
/// tryResolveExplicitSpecifier - Attempt to resolve the explict specifier.
/// Returns true if the explicit specifier is now resolved.
bool tryResolveExplicitSpecifier(ExplicitSpecifier &ExplicitSpec);
/// DiagnoseAssignmentAsCondition - Given that an expression is
/// being used as a boolean condition, warn if it's an assignment.
void DiagnoseAssignmentAsCondition(Expr *E);
/// Redundant parentheses over an equality comparison can indicate
/// that the user intended an assignment used as condition.
void DiagnoseEqualityWithExtraParens(ParenExpr *ParenE);
/// CheckCXXBooleanCondition - Returns true if conversion to bool is invalid.
ExprResult CheckCXXBooleanCondition(Expr *CondExpr, bool IsConstexpr = false);
/// ConvertIntegerToTypeWarnOnOverflow - Convert the specified APInt to have
/// the specified width and sign. If an overflow occurs, detect it and emit
/// the specified diagnostic.
void ConvertIntegerToTypeWarnOnOverflow(llvm::APSInt &OldVal,
unsigned NewWidth, bool NewSign,
SourceLocation Loc, unsigned DiagID);
/// Checks that the Objective-C declaration is declared in the global scope.
/// Emits an error and marks the declaration as invalid if it's not declared
/// in the global scope.
bool CheckObjCDeclScope(Decl *D);
/// Abstract base class used for diagnosing integer constant
/// expression violations.
class VerifyICEDiagnoser {
public:
bool Suppress;
VerifyICEDiagnoser(bool Suppress = false) : Suppress(Suppress) { }
virtual SemaDiagnosticBuilder
diagnoseNotICEType(Sema &S, SourceLocation Loc, QualType T);
virtual SemaDiagnosticBuilder diagnoseNotICE(Sema &S,
SourceLocation Loc) = 0;
virtual SemaDiagnosticBuilder diagnoseFold(Sema &S, SourceLocation Loc);
virtual ~VerifyICEDiagnoser() {}
};
/// VerifyIntegerConstantExpression - Verifies that an expression is an ICE,
/// and reports the appropriate diagnostics. Returns false on success.
/// Can optionally return the value of the expression.
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
VerifyICEDiagnoser &Diagnoser,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E, llvm::APSInt *Result,
unsigned DiagID,
bool AllowFold = true);
ExprResult VerifyIntegerConstantExpression(Expr *E,
llvm::APSInt *Result = nullptr);
/// VerifyBitField - verifies that a bit field expression is an ICE and has
/// the correct width, and that the field type is valid.
/// Returns false on success.
/// Can optionally return whether the bit-field is of width 0
ExprResult VerifyBitField(SourceLocation FieldLoc, IdentifierInfo *FieldName,
QualType FieldTy, bool IsMsStruct,
Expr *BitWidth, bool *ZeroWidth = nullptr);
private:
unsigned ForceCUDAHostDeviceDepth = 0;
public:
/// Increments our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. So long as this count is greater
/// than zero, all functions encountered will be __host__ __device__.
void PushForceCUDAHostDevice();
/// Decrements our count of the number of times we've seen a pragma forcing
/// functions to be __host__ __device__. Returns false if the count is 0
/// before incrementing, so you can emit an error.
bool PopForceCUDAHostDevice();
/// Diagnostics that are emitted only if we discover that the given function
/// must be codegen'ed. Because handling these correctly adds overhead to
/// compilation, this is currently only enabled for CUDA compilations.
llvm::DenseMap<CanonicalDeclPtr<FunctionDecl>,
std::vector<PartialDiagnosticAt>>
DeviceDeferredDiags;
/// A pair of a canonical FunctionDecl and a SourceLocation. When used as the
/// key in a hashtable, both the FD and location are hashed.
struct FunctionDeclAndLoc {
CanonicalDeclPtr<FunctionDecl> FD;
SourceLocation Loc;
};
/// FunctionDecls and SourceLocations for which CheckCUDACall has emitted a
/// (maybe deferred) "bad call" diagnostic. We use this to avoid emitting the
/// same deferred diag twice.
llvm::DenseSet<FunctionDeclAndLoc> LocsWithCUDACallDiags;
/// An inverse call graph, mapping known-emitted functions to one of their
/// known-emitted callers (plus the location of the call).
///
/// Functions that we can tell a priori must be emitted aren't added to this
/// map.
llvm::DenseMap</* Callee = */ CanonicalDeclPtr<FunctionDecl>,
/* Caller = */ FunctionDeclAndLoc>
DeviceKnownEmittedFns;
/// Diagnostic builder for CUDA/OpenMP devices errors which may or may not be
/// deferred.
///
/// In CUDA, there exist constructs (e.g. variable-length arrays, try/catch)
/// which are not allowed to appear inside __device__ functions and are
/// allowed to appear in __host__ __device__ functions only if the host+device
/// function is never codegen'ed.
///
/// To handle this, we use the notion of "deferred diagnostics", where we
/// attach a diagnostic to a FunctionDecl that's emitted iff it's codegen'ed.
///
/// This class lets you emit either a regular diagnostic, a deferred
/// diagnostic, or no diagnostic at all, according to an argument you pass to
/// its constructor, thus simplifying the process of creating these "maybe
/// deferred" diagnostics.
class DeviceDiagBuilder {
public:
enum Kind {
/// Emit no diagnostics.
K_Nop,
/// Emit the diagnostic immediately (i.e., behave like Sema::Diag()).
K_Immediate,
/// Emit the diagnostic immediately, and, if it's a warning or error, also
/// emit a call stack showing how this function can be reached by an a
/// priori known-emitted function.
K_ImmediateWithCallStack,
/// Create a deferred diagnostic, which is emitted only if the function
/// it's attached to is codegen'ed. Also emit a call stack as with
/// K_ImmediateWithCallStack.
K_Deferred
};
DeviceDiagBuilder(Kind K, SourceLocation Loc, unsigned DiagID,
FunctionDecl *Fn, Sema &S);
DeviceDiagBuilder(DeviceDiagBuilder &&D);
DeviceDiagBuilder(const DeviceDiagBuilder &) = default;
~DeviceDiagBuilder();
/// Convertible to bool: True if we immediately emitted an error, false if
/// we didn't emit an error or we created a deferred error.
///
/// Example usage:
///
/// if (DeviceDiagBuilder(...) << foo << bar)
/// return ExprError();
///
/// But see CUDADiagIfDeviceCode() and CUDADiagIfHostCode() -- you probably
/// want to use these instead of creating a DeviceDiagBuilder yourself.
operator bool() const { return ImmediateDiag.hasValue(); }
template <typename T>
friend const DeviceDiagBuilder &operator<<(const DeviceDiagBuilder &Diag,
const T &Value) {
if (Diag.ImmediateDiag.hasValue())
*Diag.ImmediateDiag << Value;
else if (Diag.PartialDiagId.hasValue())
Diag.S.DeviceDeferredDiags[Diag.Fn][*Diag.PartialDiagId].second
<< Value;
return Diag;
}
private:
Sema &S;
SourceLocation Loc;
unsigned DiagID;
FunctionDecl *Fn;
bool ShowCallStack;
// Invariant: At most one of these Optionals has a value.
// FIXME: Switch these to a Variant once that exists.
llvm::Optional<SemaDiagnosticBuilder> ImmediateDiag;
llvm::Optional<unsigned> PartialDiagId;
};
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current context
/// is "used as device code".
///
/// - If CurContext is a __host__ function, does not emit any diagnostics.
/// - If CurContext is a __device__ or __global__ function, emits the
/// diagnostics immediately.
/// - If CurContext is a __host__ __device__ function and we are compiling for
/// the device, creates a diagnostic which is emitted if and when we realize
/// that the function will be codegen'ed.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in CUDA device code.
/// if (CUDADiagIfDeviceCode(Loc, diag::err_cuda_vla) << CurrentCUDATarget())
/// return ExprError();
/// // Otherwise, continue parsing as normal.
DeviceDiagBuilder CUDADiagIfDeviceCode(SourceLocation Loc, unsigned DiagID);
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current context
/// is "used as host code".
///
/// Same as CUDADiagIfDeviceCode, with "host" and "device" switched.
DeviceDiagBuilder CUDADiagIfHostCode(SourceLocation Loc, unsigned DiagID);
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current
/// context is "used as device code".
///
/// - If CurContext is a `declare target` function or it is known that the
/// function is emitted for the device, emits the diagnostics immediately.
/// - If CurContext is a non-`declare target` function and we are compiling
/// for the device, creates a diagnostic which is emitted if and when we
/// realize that the function will be codegen'ed.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in NVPTX device code.
/// if (diagIfOpenMPDeviceCode(Loc, diag::err_vla_unsupported))
/// return ExprError();
/// // Otherwise, continue parsing as normal.
DeviceDiagBuilder diagIfOpenMPDeviceCode(SourceLocation Loc, unsigned DiagID);
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current
/// context is "used as host code".
///
/// - If CurContext is a `declare target` function or it is known that the
/// function is emitted for the host, emits the diagnostics immediately.
/// - If CurContext is a non-host function, just ignore it.
///
/// Example usage:
///
/// // Variable-length arrays are not allowed in NVPTX device code.
/// if (diagIfOpenMPHostode(Loc, diag::err_vla_unsupported))
/// return ExprError();
/// // Otherwise, continue parsing as normal.
DeviceDiagBuilder diagIfOpenMPHostCode(SourceLocation Loc, unsigned DiagID);
DeviceDiagBuilder targetDiag(SourceLocation Loc, unsigned DiagID);
/// Check if the expression is allowed to be used in expressions for the
/// offloading devices.
void checkDeviceDecl(const ValueDecl *D, SourceLocation Loc);
enum CUDAFunctionTarget {
CFT_Device,
CFT_Global,
CFT_Host,
CFT_HostDevice,
CFT_InvalidTarget
};
/// Determines whether the given function is a CUDA device/host/kernel/etc.
/// function.
///
/// Use this rather than examining the function's attributes yourself -- you
/// will get it wrong. Returns CFT_Host if D is null.
CUDAFunctionTarget IdentifyCUDATarget(const FunctionDecl *D,
bool IgnoreImplicitHDAttr = false);
CUDAFunctionTarget IdentifyCUDATarget(const ParsedAttributesView &Attrs);
/// Gets the CUDA target for the current context.
CUDAFunctionTarget CurrentCUDATarget() {
return IdentifyCUDATarget(dyn_cast<FunctionDecl>(CurContext));
}
static bool isCUDAImplicitHostDeviceFunction(const FunctionDecl *D);
// CUDA function call preference. Must be ordered numerically from
// worst to best.
enum CUDAFunctionPreference {
CFP_Never, // Invalid caller/callee combination.
CFP_WrongSide, // Calls from host-device to host or device
// function that do not match current compilation
// mode.
CFP_HostDevice, // Any calls to host/device functions.
CFP_SameSide, // Calls from host-device to host or device
// function matching current compilation mode.
CFP_Native, // host-to-host or device-to-device calls.
};
/// Identifies relative preference of a given Caller/Callee
/// combination, based on their host/device attributes.
/// \param Caller function which needs address of \p Callee.
/// nullptr in case of global context.
/// \param Callee target function
///
/// \returns preference value for particular Caller/Callee combination.
CUDAFunctionPreference IdentifyCUDAPreference(const FunctionDecl *Caller,
const FunctionDecl *Callee);
/// Determines whether Caller may invoke Callee, based on their CUDA
/// host/device attributes. Returns false if the call is not allowed.
///
/// Note: Will return true for CFP_WrongSide calls. These may appear in
/// semantically correct CUDA programs, but only if they're never codegen'ed.
bool IsAllowedCUDACall(const FunctionDecl *Caller,
const FunctionDecl *Callee) {
return IdentifyCUDAPreference(Caller, Callee) != CFP_Never;
}
/// May add implicit CUDAHostAttr and CUDADeviceAttr attributes to FD,
/// depending on FD and the current compilation settings.
void maybeAddCUDAHostDeviceAttrs(FunctionDecl *FD,
const LookupResult &Previous);
/// May add implicit CUDAConstantAttr attribute to VD, depending on VD
/// and current compilation settings.
void MaybeAddCUDAConstantAttr(VarDecl *VD);
public:
/// Check whether we're allowed to call Callee from the current context.
///
/// - If the call is never allowed in a semantically-correct program
/// (CFP_Never), emits an error and returns false.
///
/// - If the call is allowed in semantically-correct programs, but only if
/// it's never codegen'ed (CFP_WrongSide), creates a deferred diagnostic to
/// be emitted if and when the caller is codegen'ed, and returns true.
///
/// Will only create deferred diagnostics for a given SourceLocation once,
/// so you can safely call this multiple times without generating duplicate
/// deferred errors.
///
/// - Otherwise, returns true without emitting any diagnostics.
bool CheckCUDACall(SourceLocation Loc, FunctionDecl *Callee);
void CUDACheckLambdaCapture(CXXMethodDecl *D, const sema::Capture &Capture);
/// Set __device__ or __host__ __device__ attributes on the given lambda
/// operator() method.
///
/// CUDA lambdas by default is host device function unless it has explicit
/// host or device attribute.
void CUDASetLambdaAttrs(CXXMethodDecl *Method);
/// Finds a function in \p Matches with highest calling priority
/// from \p Caller context and erases all functions with lower
/// calling priority.
void EraseUnwantedCUDAMatches(
const FunctionDecl *Caller,
SmallVectorImpl<std::pair<DeclAccessPair, FunctionDecl *>> &Matches);
/// Given a implicit special member, infer its CUDA target from the
/// calls it needs to make to underlying base/field special members.
/// \param ClassDecl the class for which the member is being created.
/// \param CSM the kind of special member.
/// \param MemberDecl the special member itself.
/// \param ConstRHS true if this is a copy operation with a const object on
/// its RHS.
/// \param Diagnose true if this call should emit diagnostics.
/// \return true if there was an error inferring.
/// The result of this call is implicit CUDA target attribute(s) attached to
/// the member declaration.
bool inferCUDATargetForImplicitSpecialMember(CXXRecordDecl *ClassDecl,
CXXSpecialMember CSM,
CXXMethodDecl *MemberDecl,
bool ConstRHS,
bool Diagnose);
/// \return true if \p CD can be considered empty according to CUDA
/// (E.2.3.1 in CUDA 7.5 Programming guide).
bool isEmptyCudaConstructor(SourceLocation Loc, CXXConstructorDecl *CD);
bool isEmptyCudaDestructor(SourceLocation Loc, CXXDestructorDecl *CD);
// \brief Checks that initializers of \p Var satisfy CUDA restrictions. In
// case of error emits appropriate diagnostic and invalidates \p Var.
//
// \details CUDA allows only empty constructors as initializers for global
// variables (see E.2.3.1, CUDA 7.5). The same restriction also applies to all
// __shared__ variables whether they are local or not (they all are implicitly
// static in CUDA). One exception is that CUDA allows constant initializers
// for __constant__ and __device__ variables.
void checkAllowedCUDAInitializer(VarDecl *VD);
/// Check whether NewFD is a valid overload for CUDA. Emits
/// diagnostics and invalidates NewFD if not.
void checkCUDATargetOverload(FunctionDecl *NewFD,
const LookupResult &Previous);
/// Copies target attributes from the template TD to the function FD.
void inheritCUDATargetAttrs(FunctionDecl *FD, const FunctionTemplateDecl &TD);
/// Returns the name of the launch configuration function. This is the name
/// of the function that will be called to configure kernel call, with the
/// parameters specified via <<<>>>.
std::string getCudaConfigureFuncName() const;
/// \name Code completion
//@{
/// Describes the context in which code completion occurs.
enum ParserCompletionContext {
/// Code completion occurs at top-level or namespace context.
PCC_Namespace,
/// Code completion occurs within a class, struct, or union.
PCC_Class,
/// Code completion occurs within an Objective-C interface, protocol,
/// or category.
PCC_ObjCInterface,
/// Code completion occurs within an Objective-C implementation or
/// category implementation
PCC_ObjCImplementation,
/// Code completion occurs within the list of instance variables
/// in an Objective-C interface, protocol, category, or implementation.
PCC_ObjCInstanceVariableList,
/// Code completion occurs following one or more template
/// headers.
PCC_Template,
/// Code completion occurs following one or more template
/// headers within a class.
PCC_MemberTemplate,
/// Code completion occurs within an expression.
PCC_Expression,
/// Code completion occurs within a statement, which may
/// also be an expression or a declaration.
PCC_Statement,
/// Code completion occurs at the beginning of the
/// initialization statement (or expression) in a for loop.
PCC_ForInit,
/// Code completion occurs within the condition of an if,
/// while, switch, or for statement.
PCC_Condition,
/// Code completion occurs within the body of a function on a
/// recovery path, where we do not have a specific handle on our position
/// in the grammar.
PCC_RecoveryInFunction,
/// Code completion occurs where only a type is permitted.
PCC_Type,
/// Code completion occurs in a parenthesized expression, which
/// might also be a type cast.
PCC_ParenthesizedExpression,
/// Code completion occurs within a sequence of declaration
/// specifiers within a function, method, or block.
PCC_LocalDeclarationSpecifiers
};
void CodeCompleteModuleImport(SourceLocation ImportLoc, ModuleIdPath Path);
void CodeCompleteOrdinaryName(Scope *S,
ParserCompletionContext CompletionContext);
void CodeCompleteDeclSpec(Scope *S, DeclSpec &DS,
bool AllowNonIdentifiers,
bool AllowNestedNameSpecifiers);
struct CodeCompleteExpressionData;
void CodeCompleteExpression(Scope *S,
const CodeCompleteExpressionData &Data);
void CodeCompleteExpression(Scope *S, QualType PreferredType,
bool IsParenthesized = false);
void CodeCompleteMemberReferenceExpr(Scope *S, Expr *Base, Expr *OtherOpBase,
SourceLocation OpLoc, bool IsArrow,
bool IsBaseExprStatement,
QualType PreferredType);
void CodeCompletePostfixExpression(Scope *S, ExprResult LHS,
QualType PreferredType);
void CodeCompleteTag(Scope *S, unsigned TagSpec);
void CodeCompleteTypeQualifiers(DeclSpec &DS);
void CodeCompleteFunctionQualifiers(DeclSpec &DS, Declarator &D,
const VirtSpecifiers *VS = nullptr);
void CodeCompleteBracketDeclarator(Scope *S);
void CodeCompleteCase(Scope *S);
/// Reports signatures for a call to CodeCompleteConsumer and returns the
/// preferred type for the current argument. Returned type can be null.
QualType ProduceCallSignatureHelp(Scope *S, Expr *Fn, ArrayRef<Expr *> Args,
SourceLocation OpenParLoc);
QualType ProduceConstructorSignatureHelp(Scope *S, QualType Type,
SourceLocation Loc,
ArrayRef<Expr *> Args,
SourceLocation OpenParLoc);
QualType ProduceCtorInitMemberSignatureHelp(Scope *S, Decl *ConstructorDecl,
CXXScopeSpec SS,
ParsedType TemplateTypeTy,
ArrayRef<Expr *> ArgExprs,
IdentifierInfo *II,
SourceLocation OpenParLoc);
void CodeCompleteInitializer(Scope *S, Decl *D);
/// Trigger code completion for a record of \p BaseType. \p InitExprs are
/// expressions in the initializer list seen so far and \p D is the current
/// Designation being parsed.
void CodeCompleteDesignator(const QualType BaseType,
llvm::ArrayRef<Expr *> InitExprs,
const Designation &D);
void CodeCompleteAfterIf(Scope *S, bool IsBracedThen);
void CodeCompleteQualifiedId(Scope *S, CXXScopeSpec &SS, bool EnteringContext,
bool IsUsingDeclaration, QualType BaseType,
QualType PreferredType);
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 CodeCompleteAfterFunctionEquals(Declarator &D);
void CodeCompleteObjCAtDirective(Scope *S);
void CodeCompleteObjCAtVisibility(Scope *S);
void CodeCompleteObjCAtStatement(Scope *S);
void CodeCompleteObjCAtExpression(Scope *S);
void CodeCompleteObjCPropertyFlags(Scope *S, ObjCDeclSpec &ODS);
void CodeCompleteObjCPropertyGetter(Scope *S);
void CodeCompleteObjCPropertySetter(Scope *S);
void CodeCompleteObjCPassingType(Scope *S, ObjCDeclSpec &DS,
bool IsParameter);
void CodeCompleteObjCMessageReceiver(Scope *S);
void CodeCompleteObjCSuperMessage(Scope *S, SourceLocation SuperLoc,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression);
void CodeCompleteObjCClassMessage(Scope *S, ParsedType Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
bool IsSuper = false);
void CodeCompleteObjCInstanceMessage(Scope *S, Expr *Receiver,
ArrayRef<IdentifierInfo *> SelIdents,
bool AtArgumentExpression,
ObjCInterfaceDecl *Super = nullptr);
void CodeCompleteObjCForCollection(Scope *S,
DeclGroupPtrTy IterationVar);
void CodeCompleteObjCSelector(Scope *S,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCProtocolReferences(
ArrayRef<IdentifierLocPair> Protocols);
void CodeCompleteObjCProtocolDecl(Scope *S);
void CodeCompleteObjCInterfaceDecl(Scope *S);
void CodeCompleteObjCSuperclass(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationDecl(Scope *S);
void CodeCompleteObjCInterfaceCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCImplementationCategory(Scope *S,
IdentifierInfo *ClassName,
SourceLocation ClassNameLoc);
void CodeCompleteObjCPropertyDefinition(Scope *S);
void CodeCompleteObjCPropertySynthesizeIvar(Scope *S,
IdentifierInfo *PropertyName);
void CodeCompleteObjCMethodDecl(Scope *S, Optional<bool> IsInstanceMethod,
ParsedType ReturnType);
void CodeCompleteObjCMethodDeclSelector(Scope *S,
bool IsInstanceMethod,
bool AtParameterName,
ParsedType ReturnType,
ArrayRef<IdentifierInfo *> SelIdents);
void CodeCompleteObjCClassPropertyRefExpr(Scope *S, IdentifierInfo &ClassName,
SourceLocation ClassNameLoc,
bool IsBaseExprStatement);
void CodeCompletePreprocessorDirective(bool InConditional);
void CodeCompleteInPreprocessorConditionalExclusion(Scope *S);
void CodeCompletePreprocessorMacroName(bool IsDefinition);
void CodeCompletePreprocessorExpression();
void CodeCompletePreprocessorMacroArgument(Scope *S,
IdentifierInfo *Macro,
MacroInfo *MacroInfo,
unsigned Argument);
void CodeCompleteIncludedFile(llvm::StringRef Dir, bool IsAngled);
void CodeCompleteNaturalLanguage();
void CodeCompleteAvailabilityPlatformName();
void GatherGlobalCodeCompletions(CodeCompletionAllocator &Allocator,
CodeCompletionTUInfo &CCTUInfo,
SmallVectorImpl<CodeCompletionResult> &Results);
//@}
//===--------------------------------------------------------------------===//
// Extra semantic analysis beyond the C type system
public:
SourceLocation getLocationOfStringLiteralByte(const StringLiteral *SL,
unsigned ByteNo) const;
private:
void CheckArrayAccess(const Expr *BaseExpr, const Expr *IndexExpr,
const ArraySubscriptExpr *ASE=nullptr,
bool AllowOnePastEnd=true, bool IndexNegated=false);
void CheckArrayAccess(const Expr *E);
// Used to grab the relevant information from a FormatAttr and a
// FunctionDeclaration.
struct FormatStringInfo {
unsigned FormatIdx;
unsigned FirstDataArg;
bool HasVAListArg;
};
static bool getFormatStringInfo(const FormatAttr *Format, bool IsCXXMember,
FormatStringInfo *FSI);
bool CheckFunctionCall(FunctionDecl *FDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckObjCMethodCall(ObjCMethodDecl *Method, SourceLocation loc,
ArrayRef<const Expr *> Args);
bool CheckPointerCall(NamedDecl *NDecl, CallExpr *TheCall,
const FunctionProtoType *Proto);
bool CheckOtherCall(CallExpr *TheCall, const FunctionProtoType *Proto);
void CheckConstructorCall(FunctionDecl *FDecl,
ArrayRef<const Expr *> Args,
const FunctionProtoType *Proto,
SourceLocation Loc);
void checkCall(NamedDecl *FDecl, const FunctionProtoType *Proto,
const Expr *ThisArg, ArrayRef<const Expr *> Args,
bool IsMemberFunction, SourceLocation Loc, SourceRange Range,
VariadicCallType CallType);
void CheckSYCLKernelCall(FunctionDecl *CallerFunc, SourceRange CallLoc,
ArrayRef<const Expr *> Args);
bool CheckObjCString(Expr *Arg);
ExprResult CheckOSLogFormatStringArg(Expr *Arg);
ExprResult CheckBuiltinFunctionCall(FunctionDecl *FDecl,
unsigned BuiltinID, CallExpr *TheCall);
bool CheckTSBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
void checkFortifiedBuiltinMemoryFunction(FunctionDecl *FD, CallExpr *TheCall);
bool CheckARMBuiltinExclusiveCall(unsigned BuiltinID, CallExpr *TheCall,
unsigned MaxWidth);
bool CheckNeonBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckMVEBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckSVEBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckCDEBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckARMCoprocessorImmediate(const TargetInfo &TI, const Expr *CoprocArg,
bool WantCDE);
bool CheckARMBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckAArch64BuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckBPFBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckHexagonBuiltinArgument(unsigned BuiltinID, CallExpr *TheCall);
bool CheckMipsBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckMipsBuiltinCpu(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckMipsBuiltinArgument(unsigned BuiltinID, CallExpr *TheCall);
bool CheckSystemZBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinRoundingOrSAE(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinGatherScatterScale(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinTileArguments(unsigned BuiltinID, CallExpr *TheCall);
bool CheckX86BuiltinTileArgumentsRange(CallExpr *TheCall,
ArrayRef<int> ArgNums);
bool CheckX86BuiltinTileDuplicate(CallExpr *TheCall, ArrayRef<int> ArgNums);
bool CheckX86BuiltinTileRangeAndDuplicate(CallExpr *TheCall,
ArrayRef<int> ArgNums);
bool CheckX86BuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckPPCBuiltinFunctionCall(const TargetInfo &TI, unsigned BuiltinID,
CallExpr *TheCall);
bool CheckAMDGCNBuiltinFunctionCall(unsigned BuiltinID, CallExpr *TheCall);
bool CheckIntelFPGARegBuiltinFunctionCall(unsigned BuiltinID, CallExpr *Call);
bool CheckIntelFPGAMemBuiltinFunctionCall(CallExpr *Call);
bool SemaBuiltinVAStart(unsigned BuiltinID, CallExpr *TheCall);
bool SemaBuiltinVAStartARMMicrosoft(CallExpr *Call);
bool SemaBuiltinUnorderedCompare(CallExpr *TheCall);
bool SemaBuiltinFPClassification(CallExpr *TheCall, unsigned NumArgs);
bool SemaBuiltinComplex(CallExpr *TheCall);
bool SemaBuiltinVSX(CallExpr *TheCall);
bool SemaBuiltinOSLogFormat(CallExpr *TheCall);
public:
// Used by C++ template instantiation.
ExprResult SemaBuiltinShuffleVector(CallExpr *TheCall);
ExprResult SemaConvertVectorExpr(Expr *E, TypeSourceInfo *TInfo,
SourceLocation BuiltinLoc,
SourceLocation RParenLoc);
private:
bool SemaBuiltinPrefetch(CallExpr *TheCall);
bool SemaBuiltinAllocaWithAlign(CallExpr *TheCall);
bool SemaBuiltinAssume(CallExpr *TheCall);
bool SemaBuiltinAssumeAligned(CallExpr *TheCall);
bool SemaBuiltinLongjmp(CallExpr *TheCall);
bool SemaBuiltinSetjmp(CallExpr *TheCall);
ExprResult SemaBuiltinAtomicOverloaded(ExprResult TheCallResult);
ExprResult SemaBuiltinNontemporalOverloaded(ExprResult TheCallResult);
ExprResult SemaAtomicOpsOverloaded(ExprResult TheCallResult,
AtomicExpr::AtomicOp Op);
ExprResult SemaBuiltinOperatorNewDeleteOverloaded(ExprResult TheCallResult,
bool IsDelete);
bool SemaBuiltinConstantArg(CallExpr *TheCall, int ArgNum,
llvm::APSInt &Result);
bool SemaBuiltinConstantArgRange(CallExpr *TheCall, int ArgNum, int Low,
int High, bool RangeIsError = true);
bool SemaBuiltinConstantArgMultiple(CallExpr *TheCall, int ArgNum,
unsigned Multiple);
bool SemaBuiltinConstantArgPower2(CallExpr *TheCall, int ArgNum);
bool SemaBuiltinConstantArgShiftedByte(CallExpr *TheCall, int ArgNum,
unsigned ArgBits);
bool SemaBuiltinConstantArgShiftedByteOrXXFF(CallExpr *TheCall, int ArgNum,
unsigned ArgBits);
bool SemaBuiltinARMSpecialReg(unsigned BuiltinID, CallExpr *TheCall,
int ArgNum, unsigned ExpectedFieldNum,
bool AllowName);
bool SemaBuiltinARMMemoryTaggingCall(unsigned BuiltinID, CallExpr *TheCall);
// Matrix builtin handling.
ExprResult SemaBuiltinMatrixTranspose(CallExpr *TheCall,
ExprResult CallResult);
ExprResult SemaBuiltinMatrixColumnMajorLoad(CallExpr *TheCall,
ExprResult CallResult);
ExprResult SemaBuiltinMatrixColumnMajorStore(CallExpr *TheCall,
ExprResult CallResult);
public:
enum FormatStringType {
FST_Scanf,
FST_Printf,
FST_NSString,
FST_Strftime,
FST_Strfmon,
FST_Kprintf,
FST_FreeBSDKPrintf,
FST_OSTrace,
FST_OSLog,
FST_Unknown
};
static FormatStringType GetFormatStringType(const FormatAttr *Format);
bool FormatStringHasSArg(const StringLiteral *FExpr);
static bool GetFormatNSStringIdx(const FormatAttr *Format, unsigned &Idx);
private:
bool CheckFormatArguments(const FormatAttr *Format,
ArrayRef<const Expr *> Args,
bool IsCXXMember,
VariadicCallType CallType,
SourceLocation Loc, SourceRange Range,
llvm::SmallBitVector &CheckedVarArgs);
bool CheckFormatArguments(ArrayRef<const Expr *> Args,
bool HasVAListArg, unsigned format_idx,
unsigned firstDataArg, FormatStringType Type,
VariadicCallType CallType,
SourceLocation Loc, SourceRange range,
llvm::SmallBitVector &CheckedVarArgs);
void CheckAbsoluteValueFunction(const CallExpr *Call,
const FunctionDecl *FDecl);
void CheckMaxUnsignedZero(const CallExpr *Call, const FunctionDecl *FDecl);
void CheckMemaccessArguments(const CallExpr *Call,
unsigned BId,
IdentifierInfo *FnName);
void CheckStrlcpycatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckStrncatArguments(const CallExpr *Call,
IdentifierInfo *FnName);
void CheckReturnValExpr(Expr *RetValExp, QualType lhsType,
SourceLocation ReturnLoc,
bool isObjCMethod = false,
const AttrVec *Attrs = nullptr,
const FunctionDecl *FD = nullptr);
public:
void CheckFloatComparison(SourceLocation Loc, Expr *LHS, Expr *RHS);
private:
void CheckImplicitConversions(Expr *E, SourceLocation CC = SourceLocation());
void CheckBoolLikeConversion(Expr *E, SourceLocation CC);
void CheckForIntOverflow(Expr *E);
void CheckUnsequencedOperations(const Expr *E);
/// Perform semantic checks on a completed expression. This will either
/// be a full-expression or a default argument expression.
void CheckCompletedExpr(Expr *E, SourceLocation CheckLoc = SourceLocation(),
bool IsConstexpr = false);
void CheckBitFieldInitialization(SourceLocation InitLoc, FieldDecl *Field,
Expr *Init);
/// Check if there is a field shadowing.
void CheckShadowInheritedFields(const SourceLocation &Loc,
DeclarationName FieldName,
const CXXRecordDecl *RD,
bool DeclIsField = true);
/// Check if the given expression contains 'break' or 'continue'
/// statement that produces control flow different from GCC.
void CheckBreakContinueBinding(Expr *E);
/// Check whether receiver is mutable ObjC container which
/// attempts to add itself into the container
void CheckObjCCircularContainer(ObjCMessageExpr *Message);
void AnalyzeDeleteExprMismatch(const CXXDeleteExpr *DE);
void AnalyzeDeleteExprMismatch(FieldDecl *Field, SourceLocation DeleteLoc,
bool DeleteWasArrayForm);
public:
/// Register a magic integral constant to be used as a type tag.
void RegisterTypeTagForDatatype(const IdentifierInfo *ArgumentKind,
uint64_t MagicValue, QualType Type,
bool LayoutCompatible, bool MustBeNull);
struct TypeTagData {
TypeTagData() {}
TypeTagData(QualType Type, bool LayoutCompatible, bool MustBeNull) :
Type(Type), LayoutCompatible(LayoutCompatible),
MustBeNull(MustBeNull)
{}
QualType Type;
/// If true, \c Type should be compared with other expression's types for
/// layout-compatibility.
unsigned LayoutCompatible : 1;
unsigned MustBeNull : 1;
};
/// A pair of ArgumentKind identifier and magic value. This uniquely
/// identifies the magic value.
typedef std::pair<const IdentifierInfo *, uint64_t> TypeTagMagicValue;
private:
/// A map from magic value to type information.
std::unique_ptr<llvm::DenseMap<TypeTagMagicValue, TypeTagData>>
TypeTagForDatatypeMagicValues;
/// Peform checks on a call of a function with argument_with_type_tag
/// or pointer_with_type_tag attributes.
void CheckArgumentWithTypeTag(const ArgumentWithTypeTagAttr *Attr,
const ArrayRef<const Expr *> ExprArgs,
SourceLocation CallSiteLoc);
/// Check if we are taking the address of a packed field
/// as this may be a problem if the pointer value is dereferenced.
void CheckAddressOfPackedMember(Expr *rhs);
/// The parser's current scope.
///
/// The parser maintains this state here.
Scope *CurScope;
mutable IdentifierInfo *Ident_super;
mutable IdentifierInfo *Ident___float128;
/// Nullability type specifiers.
IdentifierInfo *Ident__Nonnull = nullptr;
IdentifierInfo *Ident__Nullable = nullptr;
IdentifierInfo *Ident__Null_unspecified = nullptr;
IdentifierInfo *Ident_NSError = nullptr;
/// The handler for the FileChanged preprocessor events.
///
/// Used for diagnostics that implement custom semantic analysis for #include
/// directives, like -Wpragma-pack.
sema::SemaPPCallbacks *SemaPPCallbackHandler;
protected:
friend class Parser;
friend class InitializationSequence;
friend class ASTReader;
friend class ASTDeclReader;
friend class ASTWriter;
public:
/// Retrieve the keyword associated
IdentifierInfo *getNullabilityKeyword(NullabilityKind nullability);
/// The struct behind the CFErrorRef pointer.
RecordDecl *CFError = nullptr;
bool isCFError(RecordDecl *D);
/// Retrieve the identifier "NSError".
IdentifierInfo *getNSErrorIdent();
/// Retrieve the parser's current scope.
///
/// This routine must only be used when it is certain that semantic analysis
/// and the parser are in precisely the same context, which is not the case
/// when, e.g., we are performing any kind of template instantiation.
/// Therefore, the only safe places to use this scope are in the parser
/// itself and in routines directly invoked from the parser and *never* from
/// template substitution or instantiation.
Scope *getCurScope() const { return CurScope; }
void incrementMSManglingNumber() const {
return CurScope->incrementMSManglingNumber();
}
IdentifierInfo *getSuperIdentifier() const;
IdentifierInfo *getFloat128Identifier() const;
Decl *getObjCDeclContext() const;
DeclContext *getCurLexicalContext() const {
return OriginalLexicalContext ? OriginalLexicalContext : CurContext;
}
const DeclContext *getCurObjCLexicalContext() const {
const DeclContext *DC = getCurLexicalContext();
// A category implicitly has the attribute of the interface.
if (const ObjCCategoryDecl *CatD = dyn_cast<ObjCCategoryDecl>(DC))
DC = CatD->getClassInterface();
return DC;
}
/// Determine the number of levels of enclosing template parameters. This is
/// only usable while parsing. Note that this does not include dependent
/// contexts in which no template parameters have yet been declared, such as
/// in a terse function template or generic lambda before the first 'auto' is
/// encountered.
unsigned getTemplateDepth(Scope *S) const;
/// To be used for checking whether the arguments being passed to
/// function exceeds the number of parameters expected for it.
static bool TooManyArguments(size_t NumParams, size_t NumArgs,
bool PartialOverloading = false) {
// We check whether we're just after a comma in code-completion.
if (NumArgs > 0 && PartialOverloading)
return NumArgs + 1 > NumParams; // If so, we view as an extra argument.
return NumArgs > NumParams;
}
// Emitting members of dllexported classes is delayed until the class
// (including field initializers) is fully parsed.
SmallVector<CXXRecordDecl*, 4> DelayedDllExportClasses;
SmallVector<CXXMethodDecl*, 4> DelayedDllExportMemberFunctions;
private:
int ParsingClassDepth = 0;
class SavePendingParsedClassStateRAII {
public:
SavePendingParsedClassStateRAII(Sema &S) : S(S) { swapSavedState(); }
~SavePendingParsedClassStateRAII() {
assert(S.DelayedOverridingExceptionSpecChecks.empty() &&
"there shouldn't be any pending delayed exception spec checks");
assert(S.DelayedEquivalentExceptionSpecChecks.empty() &&
"there shouldn't be any pending delayed exception spec checks");
swapSavedState();
}
private:
Sema &S;
decltype(DelayedOverridingExceptionSpecChecks)
SavedOverridingExceptionSpecChecks;
decltype(DelayedEquivalentExceptionSpecChecks)
SavedEquivalentExceptionSpecChecks;
void swapSavedState() {
SavedOverridingExceptionSpecChecks.swap(
S.DelayedOverridingExceptionSpecChecks);
SavedEquivalentExceptionSpecChecks.swap(
S.DelayedEquivalentExceptionSpecChecks);
}
};
/// Helper class that collects misaligned member designations and
/// their location info for delayed diagnostics.
struct MisalignedMember {
Expr *E;
RecordDecl *RD;
ValueDecl *MD;
CharUnits Alignment;
MisalignedMember() : E(), RD(), MD(), Alignment() {}
MisalignedMember(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment)
: E(E), RD(RD), MD(MD), Alignment(Alignment) {}
explicit MisalignedMember(Expr *E)
: MisalignedMember(E, nullptr, nullptr, CharUnits()) {}
bool operator==(const MisalignedMember &m) { return this->E == m.E; }
};
/// Small set of gathered accesses to potentially misaligned members
/// due to the packed attribute.
SmallVector<MisalignedMember, 4> MisalignedMembers;
/// Adds an expression to the set of gathered misaligned members.
void AddPotentialMisalignedMembers(Expr *E, RecordDecl *RD, ValueDecl *MD,
CharUnits Alignment);
public:
/// Diagnoses the current set of gathered accesses. This typically
/// happens at full expression level. The set is cleared after emitting the
/// diagnostics.
void DiagnoseMisalignedMembers();
/// This function checks if the expression is in the sef of potentially
/// misaligned members and it is converted to some pointer type T with lower
/// or equal alignment requirements. If so it removes it. This is used when
/// we do not want to diagnose such misaligned access (e.g. in conversions to
/// void*).
void DiscardMisalignedMemberAddress(const Type *T, Expr *E);
/// This function calls Action when it determines that E designates a
/// misaligned member due to the packed attribute. This is used to emit
/// local diagnostics like in reference binding.
void RefersToMemberWithReducedAlignment(
Expr *E,
llvm::function_ref<void(Expr *, RecordDecl *, FieldDecl *, CharUnits)>
Action);
/// Describes the reason a calling convention specification was ignored, used
/// for diagnostics.
enum class CallingConventionIgnoredReason {
ForThisTarget = 0,
VariadicFunction,
ConstructorDestructor,
BuiltinFunction
};
private:
// We store SYCL Kernels here and handle separately -- which is a hack.
// FIXME: It would be best to refactor this.
llvm::SetVector<Decl *> SyclDeviceDecls;
// SYCL integration header instance for current compilation unit this Sema
// is associated with.
std::unique_ptr<SYCLIntegrationHeader> SyclIntHeader;
// Used to suppress diagnostics during kernel construction, since these were
// already emitted earlier. Diagnosing during Kernel emissions also skips the
// useful notes that shows where the kernel was called.
bool DiagnosingSYCLKernel = false;
public:
void addSyclDeviceDecl(Decl *d) { SyclDeviceDecls.insert(d); }
llvm::SetVector<Decl *> &syclDeviceDecls() { return SyclDeviceDecls; }
/// Lazily creates and returns SYCL integration header instance.
SYCLIntegrationHeader &getSyclIntegrationHeader() {
if (SyclIntHeader == nullptr)
SyclIntHeader = std::make_unique<SYCLIntegrationHeader>(
getDiagnostics(), getLangOpts().SYCLUnnamedLambda, *this);
return *SyclIntHeader.get();
}
enum SYCLRestrictKind {
KernelGlobalVariable,
KernelRTTI,
KernelNonConstStaticDataVariable,
KernelCallVirtualFunction,
KernelUseExceptions,
KernelCallRecursiveFunction,
KernelCallFunctionPointer,
KernelAllocateStorage,
KernelUseAssembly,
KernelCallDllimportFunction,
KernelCallVariadicFunction,
KernelCallUndefinedFunction,
KernelConstStaticVariable
};
bool isKnownGoodSYCLDecl(const Decl *D);
void checkSYCLDeviceVarDecl(VarDecl *Var);
void ConstructOpenCLKernel(FunctionDecl *KernelCallerFunc, MangleContext &MC);
void MarkDevice();
void MarkSyclSimd();
/// Creates a DeviceDiagBuilder that emits the diagnostic if the current
/// context is "used as device code".
///
/// - If CurLexicalContext is a kernel function or it is known that the
/// function will be emitted for the device, emits the diagnostics
/// immediately.
/// - If CurLexicalContext is a function and we are compiling
/// for the device, but we don't know that this function will be codegen'ed
/// for devive yet, creates a diagnostic which is emitted if and when we
/// realize that the function will be codegen'ed.
///
/// Example usage:
///
/// Diagnose __float128 type usage only from SYCL device code if the current
/// target doesn't support it
/// if (!S.Context.getTargetInfo().hasFloat128Type() &&
/// S.getLangOpts().SYCLIsDevice)
/// SYCLDiagIfDeviceCode(Loc, diag::err_type_unsupported) << "__float128";
DeviceDiagBuilder SYCLDiagIfDeviceCode(SourceLocation Loc, unsigned DiagID);
/// Check whether we're allowed to call Callee from the current context.
///
/// - If the call is never allowed in a semantically-correct program
/// emits an error and returns false.
///
/// - If the call is allowed in semantically-correct programs, but only if
/// it's never codegen'ed, creates a deferred diagnostic to be emitted if
/// and when the caller is codegen'ed, and returns true.
///
/// - Otherwise, returns true without emitting any diagnostics.
///
/// Adds Callee to DeviceCallGraph if we don't know if its caller will be
/// codegen'ed yet.
bool checkSYCLDeviceFunction(SourceLocation Loc, FunctionDecl *Callee);
/// Finishes analysis of the deferred functions calls that may be not
/// properly declared for device compilation.
void finalizeSYCLDelayedAnalysis(const FunctionDecl *Caller,
const FunctionDecl *Callee,
SourceLocation Loc);
/// Tells whether given variable is a SYCL explicit SIMD extension's "private
/// global" variable - global variable in the private address space.
bool isSYCLEsimdPrivateGlobal(VarDecl *VDecl) {
return getLangOpts().SYCLIsDevice && getLangOpts().SYCLExplicitSIMD &&
VDecl->hasGlobalStorage() &&
(VDecl->getType().getAddressSpace() == LangAS::opencl_private);
}
};
template <typename AttrType>
void Sema::addIntelSYCLSingleArgFunctionAttr(Decl *D,
const AttributeCommonInfo &CI,
Expr *E) {
assert(E && "Attribute must have an argument.");
if (!E->isInstantiationDependent()) {
Optional<llvm::APSInt> ArgVal = E->getIntegerConstantExpr(getASTContext());
if (!ArgVal) {
Diag(E->getExprLoc(), diag::err_attribute_argument_type)
<< CI.getAttrName() << AANT_ArgumentIntegerConstant
<< E->getSourceRange();
return;
}
int32_t ArgInt = ArgVal->getSExtValue();
if (ArgInt <= 0) {
Diag(E->getExprLoc(), diag::err_attribute_requires_positive_integer)
<< CI.getAttrName() << /*positive*/ 0;
return;
}
}
D->addAttr(::new (Context) AttrType(Context, CI, E));
}
template <typename AttrType>
void Sema::AddOneConstantValueAttr(Decl *D, const AttributeCommonInfo &CI,
Expr *E) {
AttrType TmpAttr(Context, CI, E);
if (!E->isValueDependent()) {
ExprResult ICE;
if (checkRangedIntegralArgument<AttrType>(E, &TmpAttr, ICE))
return;
E = ICE.get();
}
if (IntelFPGAPrivateCopiesAttr::classof(&TmpAttr)) {
if (!D->hasAttr<IntelFPGAMemoryAttr>())
D->addAttr(IntelFPGAMemoryAttr::CreateImplicit(
Context, IntelFPGAMemoryAttr::Default));
}
D->addAttr(::new (Context) AttrType(Context, CI, E));
}
template <typename AttrType>
void Sema::AddOneConstantPowerTwoValueAttr(Decl *D,
const AttributeCommonInfo &CI,
Expr *E) {
AttrType TmpAttr(Context, CI, E);
if (!E->isValueDependent()) {
ExprResult ICE;
if (checkRangedIntegralArgument<AttrType>(E, &TmpAttr, ICE))
return;
Expr::EvalResult Result;
E->EvaluateAsInt(Result, Context);
llvm::APSInt Value = Result.Val.getInt();
if (!Value.isPowerOf2()) {
Diag(CI.getLoc(), diag::err_attribute_argument_not_power_of_two)
<< &TmpAttr;
return;
}
if (IntelFPGANumBanksAttr::classof(&TmpAttr)) {
if (auto *BBA = D->getAttr<IntelFPGABankBitsAttr>()) {
unsigned NumBankBits = BBA->args_size();
if (NumBankBits != Value.ceilLogBase2()) {
Diag(TmpAttr.getLocation(), diag::err_bankbits_numbanks_conflicting);
return;
}
}
}
E = ICE.get();
}
if (!D->hasAttr<IntelFPGAMemoryAttr>())
D->addAttr(IntelFPGAMemoryAttr::CreateImplicit(
Context, IntelFPGAMemoryAttr::Default));
// We are adding a user NumBanks, drop any implicit default.
if (IntelFPGANumBanksAttr::classof(&TmpAttr)) {
if (auto *NBA = D->getAttr<IntelFPGANumBanksAttr>())
if (NBA->isImplicit())
D->dropAttr<IntelFPGANumBanksAttr>();
}
D->addAttr(::new (Context) AttrType(Context, CI, E));
}
template <typename FPGALoopAttrT>
FPGALoopAttrT *Sema::BuildSYCLIntelFPGALoopAttr(const AttributeCommonInfo &A,
Expr *E) {
if (!E && !(A.getParsedKind() == ParsedAttr::AT_SYCLIntelFPGALoopCoalesce))
return nullptr;
if (E && !E->isInstantiationDependent()) {
Optional<llvm::APSInt> ArgVal = E->getIntegerConstantExpr(getASTContext());
if (!ArgVal) {
Diag(E->getExprLoc(), diag::err_attribute_argument_type)
<< A.getAttrName() << AANT_ArgumentIntegerConstant
<< E->getSourceRange();
return nullptr;
}
int Val = ArgVal->getSExtValue();
if (A.getParsedKind() == ParsedAttr::AT_SYCLIntelFPGAII ||
A.getParsedKind() == ParsedAttr::AT_SYCLIntelFPGALoopCoalesce) {
if (Val <= 0) {
Diag(E->getExprLoc(), diag::err_attribute_requires_positive_integer)
<< A.getAttrName() << /* positive */ 0;
return nullptr;
}
} else if (A.getParsedKind() ==
ParsedAttr::AT_SYCLIntelFPGAMaxConcurrency ||
A.getParsedKind() ==
ParsedAttr::AT_SYCLIntelFPGAMaxInterleaving ||
A.getParsedKind() ==
ParsedAttr::AT_SYCLIntelFPGASpeculatedIterations) {
if (Val < 0) {
Diag(E->getExprLoc(), diag::err_attribute_requires_positive_integer)
<< A.getAttrName() << /* non-negative */ 1;
return nullptr;
}
} else {
llvm_unreachable("unknown sycl fpga loop attr");
}
}
return new (Context) FPGALoopAttrT(Context, A, E);
}
/// RAII object that enters a new expression evaluation context.
class EnterExpressionEvaluationContext {
Sema &Actions;
bool Entered = true;
public:
EnterExpressionEvaluationContext(
Sema &Actions, Sema::ExpressionEvaluationContext NewContext,
Decl *LambdaContextDecl = nullptr,
Sema::ExpressionEvaluationContextRecord::ExpressionKind ExprContext =
Sema::ExpressionEvaluationContextRecord::EK_Other,
bool ShouldEnter = true)
: Actions(Actions), Entered(ShouldEnter) {
if (Entered)
Actions.PushExpressionEvaluationContext(NewContext, LambdaContextDecl,
ExprContext);
}
EnterExpressionEvaluationContext(
Sema &Actions, Sema::ExpressionEvaluationContext NewContext,
Sema::ReuseLambdaContextDecl_t,
Sema::ExpressionEvaluationContextRecord::ExpressionKind ExprContext =
Sema::ExpressionEvaluationContextRecord::EK_Other)
: Actions(Actions) {
Actions.PushExpressionEvaluationContext(
NewContext, Sema::ReuseLambdaContextDecl, ExprContext);
}
enum InitListTag { InitList };
EnterExpressionEvaluationContext(Sema &Actions, InitListTag,
bool ShouldEnter = true)
: Actions(Actions), Entered(false) {
// In C++11 onwards, narrowing checks are performed on the contents of
// braced-init-lists, even when they occur within unevaluated operands.
// Therefore we still need to instantiate constexpr functions used in such
// a context.
if (ShouldEnter && Actions.isUnevaluatedContext() &&
Actions.getLangOpts().CPlusPlus11) {
Actions.PushExpressionEvaluationContext(
Sema::ExpressionEvaluationContext::UnevaluatedList);
Entered = true;
}
}
~EnterExpressionEvaluationContext() {
if (Entered)
Actions.PopExpressionEvaluationContext();
}
};
DeductionFailureInfo
MakeDeductionFailureInfo(ASTContext &Context, Sema::TemplateDeductionResult TDK,
sema::TemplateDeductionInfo &Info);
/// Contains a late templated function.
/// Will be parsed at the end of the translation unit, used by Sema & Parser.
struct LateParsedTemplate {
CachedTokens Toks;
/// The template function declaration to be late parsed.
Decl *D;
};
} // end namespace clang
namespace llvm {
// Hash a FunctionDeclAndLoc by looking at both its FunctionDecl and its
// SourceLocation.
template <> struct DenseMapInfo<clang::Sema::FunctionDeclAndLoc> {
using FunctionDeclAndLoc = clang::Sema::FunctionDeclAndLoc;
using FDBaseInfo = DenseMapInfo<clang::CanonicalDeclPtr<clang::FunctionDecl>>;
static FunctionDeclAndLoc getEmptyKey() {
return {FDBaseInfo::getEmptyKey(), clang::SourceLocation()};
}
static FunctionDeclAndLoc getTombstoneKey() {
return {FDBaseInfo::getTombstoneKey(), clang::SourceLocation()};
}
static unsigned getHashValue(const FunctionDeclAndLoc &FDL) {
return hash_combine(FDBaseInfo::getHashValue(FDL.FD),
FDL.Loc.getRawEncoding());
}
static bool isEqual(const FunctionDeclAndLoc &LHS,
const FunctionDeclAndLoc &RHS) {
return LHS.FD == RHS.FD && LHS.Loc == RHS.Loc;
}
};
} // namespace llvm
#endif
|
NeuralNetwork_OMP_CPU4.c | /* NEURAL NETWORK OMP CPU4.c
* by Lut99
*
* Created:
* 4/18/2020, 11:25:46 PM
* Last edited:
* 19/11/2020, 17:18:45
* 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 fourth of eight different OpenMP-optimised
* versions for the CPU. It optimises the innermost loops of the training
* function using SIMD.
**/
#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
/***** 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 n_weights = nn->n_weights;
size_t* nodes_per_layer = nn->nodes_per_layer;
// Initialize the temporary delta memory to the correct size
double* deltas = malloc(sizeof(double) * max(n_layers, nodes_per_layer));
double* prev_deltas = malloc(sizeof(double) * max(n_layers, nodes_per_layer));
// 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_layers];
// Allocate arrays for the other layers
for (size_t l = 1; l < n_layers; l++) {
layer_outputs[l] = malloc(sizeof(double) * nodes_per_layer[l]);
}
// Create the delta_biases and delta_weights arrays / matrices
double* delta_biases[n_weights];
double* delta_weights[n_weights];
for(size_t l = 0; l < n_weights; l++) {
delta_biases[l] = malloc(sizeof(double) * nodes_per_layer[l + 1]);
delta_weights[l] = malloc(sizeof(double) * nodes_per_layer[l] * nodes_per_layer[l + 1]);
// Fill with zeros
for (size_t n = 0; n < nodes_per_layer[l + 1]; n++) {
delta_biases[l][n] = 0;
for (size_t prev_n = 0; prev_n < nodes_per_layer[l]; prev_n++) {
delta_weights[l][prev_n * nodes_per_layer[l + 1] + n] = 0;
}
}
}
#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];
double* last_delta_bias = delta_biases[n_layers - 2];
double* last_delta_weight = delta_weights[n_layers - 2];
for (size_t i = 0; i < n_iterations; i++) {
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
// Link the input to the first layer outputs
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 = layer_outputs[l - 1];
double* output = 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];
#pragma omp simd
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];
// Do the output layer: compute the deltas
double* output = layer_outputs[n_layers - 1];
#pragma omp simd
for (size_t n = 0; n < last_nodes; n++) {
double output_val = output[n];
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
#pragma omp simd
for (size_t n = 0; n < last_nodes; n++) {
last_delta_bias[n] += prev_deltas[n];
}
// Same for all the weights, except we compute the delta_weights first
double* last_prev_output = layer_outputs[n_layers - 2];
for (size_t prev_n = 0; prev_n < last_prev_nodes; prev_n++) {
#pragma omp simd
for (size_t n = 0; n < last_nodes; n++) {
last_delta_weight[prev_n * last_nodes + n] += last_prev_output[prev_n] * 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[l - 1];
double* delta_weight = delta_weights[l - 1];
double* output = layer_outputs[l];
double* prev_output = 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;
#pragma omp simd
for (size_t next_n = 0; next_n < next_nodes; next_n++) {
error += 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];
deltas[n] = error * output_val * (1 - output_val);
}
// Add all deltas as delta_biases for this layer
#pragma omp simd
for (size_t n = 0; n < this_nodes; n++) {
delta_bias[n] += 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++) {
#pragma omp simd
for (size_t n = 0; n < this_nodes; n++) {
delta_weight[prev_n * this_nodes + n] += prev_output[prev_n] * deltas[n];
}
}
// Swap the two deltas
double* temp = deltas;
deltas = prev_deltas;
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
for (size_t l = 0; l < n_weights; l++) {
double* bias = biases[l];
double* delta_bias = delta_biases[l];
double* weight = weights[l];
double* delta_weight = delta_weights[l];
// Update the biases & reset delta_biases
size_t this_nodes = nodes_per_layer[l + 1];
#pragma omp simd
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];
#pragma omp simd
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 l = 0; l < n_weights; l++) {
free(delta_biases[l]);
free(delta_weights[l]);
}
// Free the layer_outputs (skip the first, as these merely link the input rather than copy 'em)
for (size_t l = 1; l < n_layers; l++) {
free(layer_outputs[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) {
// Just ignore the arguments
(void) argc;
(void) argv;
}
void print_opt_args() {
printf(" - Variation : OpenMP CPU 4 (SIMD only)\n");
}
|
train9.c | #define _GNU_SOURCE
#include <syscall.h>
#include <sched.h>
#include "graph.h"
#include "mainFunctions.h"
#include "powerperformacetracking.h"
#include "print.h"
#include <stdlib.h>
#include<unistd.h>
#define NO_OF_ARGS 2
//#define REPEAT 25
#define REPEAT 15
long long iters[8];
struct timeval start, end;
// We define all additional paramemter here
void setaffinity() {
/* #pragma omp parallel
{
cpu_set_t newcpu;
int threadid = omp_get_thread_num();
CPU_ZERO(&newcpu);
CPU_SET ( threadid , &newcpu) ;
int __t = sched_setaffinity ( syscall ( SYS_gettid ) , sizeof ( newcpu ) , &newcpu ) ;
assert(__t == 0);
}
*/
}
void train9(graph *G, int id) {
printf("The train 9 add %d \n", id);
char title[50];
sprintf(title, "train9_%d.csv",id);
gettimeofday(&start, NULL);
inittracking(title);
int pf = 0;
int abc;
for(abc =0; abc< REPEAT; abc++) {
#pragma omp parallel
{
int flag;
int t = 0;
#pragma omp for schedule(dynamic, 1024)
for (node_t u1 = 0; u1 < G->numNodes; u1 ++) {
if(u1%2 == 0){
for (edge_t u_idx = G->begin[u1];u_idx < G->begin[u1+1] ; u_idx ++) {
node_t u = G->node_idx [u_idx];
t = t + u1%2;
}
#pragma omp atomic
pf= pf + 1;
}
}
#pragma omp atomic
pf -= t;
t = 0;
}
}
endtracking();
gettimeofday(&end, NULL);
printf("The pf value is %d \n",pf);
printTiming(ALGO_KERNEL,((end.tv_sec - start.tv_sec)*1000 + ((double)(end.tv_usec - start.tv_usec))/1000));
//free(G_member);
}
#define numTimes 7
/***
* Common entry point for all algorithms,
**/
int runalgo(int argc,char** argv) {
int i;
setaffinity();
graph* G = readGraph(argv[1], argv[2]);
for(i = 0;i< numTimes; i++) {
printf("Run %d \n", i);
train9(G,i);
sleep(2);
}
return 0;
}
inline void kernel(graph *G) {
}
|
GB_unaryop__ainv_uint16_bool.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__ainv_uint16_bool
// op(A') function: GB_tran__ainv_uint16_bool
// C type: uint16_t
// A type: bool
// cast: uint16_t cij = (uint16_t) aij
// unaryop: cij = -aij
#define GB_ATYPE \
bool
#define GB_CTYPE \
uint16_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
bool aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = -x ;
// casting
#define GB_CASTING(z, x) \
uint16_t z = (uint16_t) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_AINV || GxB_NO_UINT16 || GxB_NO_BOOL)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__ainv_uint16_bool
(
uint16_t *restrict Cx,
const bool *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__ainv_uint16_bool
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t **Rowcounts,
GBI_single_iterator Iter,
const int64_t *restrict A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unaryop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
flux.c |
#include <string.h>
#include <stdint.h>
#include <omp.h>
#include <math.h>
#include <ktime.h>
#include <geometry.h>
#include <phy.h>
#ifdef __USE_HW_COUNTER
#include <perf.h>
#include <kperf.h>
#endif
#define MAG0 (0.5 / 3)
#define MAG1 (-MAG0)
/*
Calculates the residual
*/
void
compute_residual(struct residual *restrict res)
{
#ifdef __USE_HW_COUNTER
const struct fd fd = res->perf_counters->fd;
struct counters start;
perf_read(fd, &start);
const uint64_t icycle = __rdtsc();
#endif
struct ktime ktime;
setktime(&ktime);
const size_t bsz = res->bsz;
const size_t nfnodes = res->nfnodes;
const size_t dofs = res->dofs;
const uint32_t snfc = res->snfc;
const double pressure = res->pressure;
const double velocity_u = res->velocity_u;
const double velocity_v = res->velocity_v;
const double velocity_w = res->velocity_w;
const double *restrict f_xyz0 = res->f_xyz0;
const double *restrict f_xyz1 = res->f_xyz1;
const double *restrict f_xyz2 = res->f_xyz2;
const double *restrict xyz0 = res->xyz0;
const double *restrict xyz1 = res->xyz1;
const double *restrict xyz2 = res->xyz2;
const uint32_t *restrict ie = res->ie;
const uint32_t *restrict part = res->part;
const uint32_t *restrict snfic = res->snfic;
const uint32_t *restrict n0 = res->n0;
const uint32_t *restrict n1 = res->n1;
const uint32_t *restrict nfptr = res->nfptr;
const uint32_t *restrict sn0 = res->sn0;
const uint32_t *restrict sn1 = res->sn1;
const uint32_t *restrict sn2 = res->sn2;
const double *restrict x0 = res->x0;
const double *restrict x1 = res->x1;
const double *restrict x2 = res->x2;
const double *restrict x3 = res->x3;
const double *restrict q = res->q;
const double *restrict w0termsx = res->w0termsx;
const double *restrict w0termsy = res->w0termsy;
const double *restrict w0termsz = res->w0termsz;
const double *restrict w1termsx = res->w1termsx;
const double *restrict w1termsy = res->w1termsy;
const double *restrict w1termsz = res->w1termsz;
double *restrict gradx0 = res->gradx0;
double *restrict gradx1 = res->gradx1;
double *restrict gradx2 = res->gradx2;
memset(gradx0, 0, dofs * sizeof(double));
memset(gradx1, 0, dofs * sizeof(double));
memset(gradx2, 0, dofs * sizeof(double));
double *restrict r = res->r;
memset(r, 0, dofs * sizeof(double));
__assume_aligned(r, 64);
/*
Calculates the gradients at the nodes using weighted least squares
This solves using Gram-Schmidt
*/
#pragma omp parallel
{
const uint32_t t = omp_get_thread_num();
const uint32_t ie0 = ie[t];
const uint32_t ie1 = ie[t+1];
uint32_t i;
for(i = ie0; i < ie1; i++)
{
const uint32_t node0 = n0[i];
const uint32_t node1 = n1[i];
const uint32_t idx0 = bsz * node0;
const uint32_t idx1 = bsz * node1;
double dq;
double termx;
double termy;
double termz;
if(part[node0] == t)
{
termx = w0termsx[i];
termy = w0termsy[i];
termz = w0termsz[i];
dq = q[idx1 + 0] - q[idx0 + 0];
gradx0[idx0 + 0] += termx * dq;
gradx1[idx0 + 0] += termy * dq;
gradx2[idx0 + 0] += termz * dq;
dq = q[idx1 + 1] - q[idx0 + 1];
gradx0[idx0 + 1] += termx * dq;
gradx1[idx0 + 1] += termy * dq;
gradx2[idx0 + 1] += termz * dq;
dq = q[idx1 + 2] - q[idx0 + 2];
gradx0[idx0 + 2] += termx * dq;
gradx1[idx0 + 2] += termy * dq;
gradx2[idx0 + 2] += termz * dq;
dq = q[idx1 + 3] - q[idx0 + 3];
gradx0[idx0 + 3] += termx * dq;
gradx1[idx0 + 3] += termy * dq;
gradx2[idx0 + 3] += termz * dq;
}
if(part[node1] == t)
{
termx = w1termsx[i];
termy = w1termsy[i];
termz = w1termsz[i];
dq = q[idx0 + 0] - q[idx1 + 0];
gradx0[idx1 + 0] += termx * dq;
gradx1[idx1 + 0] += termy * dq;
gradx2[idx1 + 0] += termz * dq;
dq = q[idx0 + 1] - q[idx1 + 1];
gradx0[idx1 + 1] += termx * dq;
gradx1[idx1 + 1] += termy * dq;
gradx2[idx1 + 1] += termz * dq;
dq = q[idx0 + 2] - q[idx1 + 2];
gradx0[idx1 + 2] += termx * dq;
gradx1[idx1 + 2] += termy * dq;
gradx2[idx1 + 2] += termz * dq;
dq = q[idx0 + 3] - q[idx1 + 3];
gradx0[idx1 + 3] += termx * dq;
gradx1[idx1 + 3] += termy * dq;
gradx2[idx1 + 3] += termz * dq;
}
}
}
/*
Calculates the fluxes on the face and performs the flux balance
*/
#pragma omp parallel
{
uint32_t t = omp_get_thread_num();
uint32_t ie0 = ie[t];
uint32_t ie1 = ie[t+1];
uint32_t i;
for(i = ie0; i < ie1; i++)
{
uint32_t node0 = n0[i];
uint32_t node1 = n1[i];
double xn = x0[i];
double yn = x1[i];
double zn = x2[i];
double ln = x3[i];
double xmean = 0.5f * (xyz0[node0] + xyz0[node1]);
double ymean = 0.5f * (xyz1[node0] + xyz1[node1]);
double zmean = 0.5f * (xyz2[node0] + xyz2[node1]);
/*
Now lets get our other 2 vectors
For first vector, use {1,0,0} and subtract off the component
in the direction of the face normal. If the inner product of
{1,0,0} is close to unity, use {0,1,0}
*/
double X1, Y1, Z1;
double dot = xn;
if(fabs(dot) < 0.95f)
{
X1 = 1.f - dot * xn;
Y1 = -dot * yn;
Z1 = -dot * zn;
}
else
{
dot = yn;
X1 = -dot * xn;
Y1 = 1.f - dot * yn;
Z1 = -dot * zn;
}
/*
Normalize the first vector
*/
double size = X1 * X1;
size += Y1 * Y1;
size += Z1 * Z1;
size = sqrt(size);
X1 /= size;
Y1 /= size;
Z1 /= size;
/*
Take cross-product of normal and V1 to get V2
*/
double X2 = yn * Z1;
X2 -= zn * Y1;
double Y2 = zn * X1;
Y2 -= xn * Z1;
double Z2 = xn * Y1;
Z2 -= yn * X1;
/*
Get variables on "left" and "right" side of face
*/
double rx = xmean - xyz0[node0];
double ry = ymean - xyz1[node0];
double rz = zmean - xyz2[node0];
uint32_t idx0 = bsz * node0;
uint32_t idx1 = bsz * node1;
// Pressure
double pL = q[idx0 + 0] + gradx0[idx0 + 0] * rx;
pL += gradx1[idx0 + 0] * ry;
pL += gradx2[idx0 + 0] * rz;
// Velocity u
double uL = q[idx0 + 1] + gradx0[idx0 + 1] * rx;
uL += gradx1[idx0 + 1] * ry;
uL += gradx2[idx0 + 1] * rz;
// Velocity v
double vL = q[idx0 + 2] + gradx0[idx0 + 2] * rx;
vL += gradx1[idx0 + 2] * ry;
vL += gradx2[idx0 + 2] * rz;
// Velocity w
double wL = q[idx0 + 3] + gradx0[idx0 + 3] * rx;
wL += gradx1[idx0 + 3] * ry;
wL += gradx2[idx0 + 3] * rz;
double ubarL = xn * uL;
ubarL += yn * vL;
ubarL += zn * wL;
rx = xmean - xyz0[node1];
ry = ymean - xyz1[node1];
rz = zmean - xyz2[node1];
// Pressure
double pR = q[idx1 + 0] + gradx0[idx1 + 0] * rx;
pR += gradx1[idx1 + 0] * ry;
pR += gradx2[idx1 + 0] * rz;
// Velocity u
double uR = q[idx1 + 1] + gradx0[idx1 + 1] * rx;
uR += gradx1[idx1 + 1] * ry;
uR += gradx2[idx1 + 1] * rz;
// Velocity v
double vR = q[idx1 + 2] + gradx0[idx1 + 2] * rx;
vR += gradx1[idx1 + 2] * ry;
vR += gradx2[idx1 + 2] * rz;
// Velocity w
double wR = q[idx1 + 3] + gradx0[idx1 + 3] * rx;
wR += gradx1[idx1 + 3] * ry;
wR += gradx2[idx1 + 3] * rz;
double ubarR = xn * uR;
ubarR += yn * vR;
ubarR += zn * wR;
/* Compute averages */
//double p = 0.5f * (pL + pR);
double u = 0.5f * (uL + uR);
double v = 0.5f * (vL + vR);
double w = 0.5f * (wL + wR);
double ubar = xn * u;
ubar += yn * v;
ubar += zn * w;
double phi1 = xn * BETA;
phi1 += u * ubar;
double phi2 = yn * BETA;
phi2 += v * ubar;
double phi3 = zn * BETA;
phi3 += w * ubar;
double phi4 = Y2 * phi3;
phi4 -= Z2 * phi2;
double phi5 = Z2 * phi1;
phi5 -= X2 * phi3;
double phi6 = X2 * phi2;
phi6 -= Y2 * phi1;
double phi7 = Z1 * phi2;
phi7 -= Y1 * phi3;
double phi8 = X1 * phi3;
phi8 -= Z1 * phi1;
double phi9 = Y1 * phi1;
phi9 -= X1 * phi2;
double c2 = ubar * ubar + BETA;
double c = sqrt(c2);
/*
Now compute eigenvalues, eigenvectors, and strengths
*/
double eig1 = fabs(ubar);
double eig2 = fabs(ubar);
double eig3 = fabs(ubar + c);
double eig4 = fabs(ubar - c);
double dp = pR - pL;
double du = uR - uL;
double dv = vR - vL;
double dw = wR - wL;
/*
Components of T(inverse)
*/
double ti11 = u * phi4;
ti11 += v * phi5;
ti11 += w * phi6;
ti11 = -ti11 / BETA;
double ti21 = u * phi7;
ti21 += v * phi8;
ti21 += w * phi9;
ti21 = -ti21 / BETA;
double ti31 = 0.5f * (c - ubar);
ti31 /= BETA;
double ti41 = -0.5f * (c + ubar);
ti41 /= BETA;
/*
jumps (T(inverse) * dq)
*/
double dv1 = ti11 * dp;
dv1 += phi4 * du;
dv1 += phi5 * dv;
dv1 += phi6 * dw;
dv1 /= c2;
double dv2 = ti21 * dp;
dv2 += phi7 * du;
dv2 += phi8 * dv;
dv2 += phi9 * dw;
dv2 /= c2;
double dv3 = 2.f * ti31 * dp;
dv3 += xn * du;
dv3 += yn * dv;
dv3 += zn * dw;
dv3 *= 0.5f / c2;
double dv4 = 2.f * ti41 * dp;
dv4 += xn * du;
dv4 += yn * dv;
dv4 += zn * dw;
dv4 *= 0.5f / c2;
/*
Now get elements of T
*/
double r13 = c * BETA;
double r23 = u * (ubar + c);
r23 += xn * BETA;
double r33 = v * (ubar + c);
r33 += yn * BETA;
double r43 = w * (ubar + c);
r43 += zn * BETA;
double r14 = -c * BETA;
double r24 = u * (ubar - c);
r24 += xn * BETA;
double r34 = v * (ubar - c);
r34 += yn * BETA;
double r44 = w * (ubar - c);
r44 += zn * BETA;
/*
Calculate T* |lambda| * T(inverse)
*/
double t1 = eig3 * r13 * dv3 + eig4 * r14 * dv4;
double t2 = eig1 * X1 * dv1 + eig2 * X2 * dv2;
t2 += eig3 * r23 * dv3 + eig4 * r24 * dv4;
double t3 = eig1 * Y1 * dv1 + eig2 * Y2 * dv2;
t3 += eig3 * r33 * dv3 + eig4 * r34 * dv4;
double t4 = eig1 * Z1 * dv1 + eig2 * Z2 * dv2;
t4 += eig3 * r43 * dv3 + eig4 * r44 * dv4;
/*
Modify to calculate .5(fl +fr) from nodes
instead of extrapolated ones
*/
double fluxp1 = ln * BETA * ubarL;
double fluxp2 = ln * (uL * ubarL + xn * pL);
double fluxp3 = ln * (vL * ubarL + yn * pL);
double fluxp4 = ln * (wL * ubarL + zn * pL);
/*
Now the right side
*/
double fluxm1 = ln * BETA * ubarR;
double fluxm2 = ln * (uR * ubarR + xn * pR);
double fluxm3 = ln * (vR * ubarR + yn * pR);
double fluxm4 = ln * (wR * ubarR + zn * pR);
double res1 = 0.5f * (fluxp1 + fluxm1 - ln * t1);
double res2 = 0.5f * (fluxp2 + fluxm2 - ln * t2);
double res3 = 0.5f * (fluxp3 + fluxm3 - ln * t3);
double res4 = 0.5f * (fluxp4 + fluxm4 - ln * t4);
r[idx0 + 0] = (part[node0] == t) ? (r[idx0 + 0] + res1) : r[idx0 + 0];
r[idx0 + 1] = (part[node0] == t) ? (r[idx0 + 1] + res2) : r[idx0 + 1];
r[idx0 + 2] = (part[node0] == t) ? (r[idx0 + 2] + res3) : r[idx0 + 2];
r[idx0 + 3] = (part[node0] == t) ? (r[idx0 + 3] + res4) : r[idx0 + 3];
r[idx1 + 0] = (part[node1] == t) ? (r[idx1 + 0] - res1) : r[idx1 + 0];
r[idx1 + 1] = (part[node1] == t) ? (r[idx1 + 1] - res2) : r[idx1 + 1];
r[idx1 + 2] = (part[node1] == t) ? (r[idx1 + 2] - res3) : r[idx1 + 2];
r[idx1 + 3] = (part[node1] == t) ? (r[idx1 + 3] - res4) : r[idx1 + 3];
}
}
uint32_t i;
for(i = 0; i < snfc; i++)
{
uint32_t if0 = snfic[i];
uint32_t if1 = snfic[i+1];
uint32_t j;
#pragma omp parallel for
for(j = if0; j < if1; j++)
{
uint32_t node0 = sn0[j];
uint32_t node1 = sn1[j];
uint32_t node2 = sn2[j];
double p1 = q[bsz * node0];
double p2 = q[bsz * node1];
double p3 = q[bsz * node2];
double ax = xyz0[node1] - xyz0[node0];
double ay = xyz1[node1] - xyz1[node0];
double az = xyz2[node1] - xyz2[node0];
double bx = xyz0[node2] - xyz0[node0];
double by = xyz1[node2] - xyz1[node0];
double bz = xyz2[node2] - xyz2[node0];
/*
Normal points away from grid interior.
Magnitude is 1/3 area of surface triangle.
*/
double xn = ay * bz;
xn -= az * by;
xn *= MAG1;
double yn = ax * bz;
yn -= az * bx;
yn *= MAG0;
double zn = ax * by;
zn -= ay * bx;
zn *= MAG1;
double pa = 0.125f * (p2 + p3);
pa += 0.75f * p1;
double pb = 0.125f * (p3 + p1);
pb += 0.75f * p2;
double pc = 0.125f * (p1 + p2);
pc += 0.75f * p3;
uint32_t idx;
idx = bsz * node0;
r[idx + 1] += xn * pa;
r[idx + 2] += yn * pa;
r[idx + 3] += zn * pa;
idx = bsz * node1;
r[idx + 1] += xn * pb;
r[idx + 2] += yn * pb;
r[idx + 3] += zn * pb;
idx = bsz * node2;
r[idx + 1] += xn * pc;
r[idx + 2] += yn * pc;
r[idx + 3] += zn * pc;
}
}
/* Do the free boundaries */
#pragma omp parallel for
for(i = 0; i < nfnodes; i++)
{
uint32_t n = nfptr[i];
/*
Get normal and "other" 2 vectors. Remember that fxn,fyn and fzn
has the magnitude of the face contained in it.
*/
double xn = f_xyz0[i];
double yn = f_xyz1[i];
double zn = f_xyz2[i];
double area = xn * xn;
area += yn * yn;
area += zn * zn;
area = sqrt(area);
xn /= area;
yn /= area;
zn /= area;
/*
Now lets get our other 2 vectors
For first vector, use {1,0,0} and subtract off the component
in the direction of the face normal. If the inner product of
{1,0,0} is close to unity, use {0,1,0}
*/
double X1, Y1, Z1;
double dot = xn;
if(fabs(dot) < 0.95f)
{
X1 = 1.f - dot * xn;
Y1 = -dot * yn;
Z1 = -dot * zn;
}
else
{
dot = yn;
X1 = -dot * xn;
Y1 = 1.f - dot * yn;
Z1 = -dot * zn;
}
/*
Normalize the first vector (V1)
*/
double size = X1 * X1;
size += Y1 * Y1;
size += Z1 * Z1;
size = sqrt(size);
X1 /= size;
Y1 /= size;
Z1 /= size;
/*
Take cross-product of normal with V1 to get V2
*/
double X2 = yn * Z1;
X2 -= zn * Y1;
double Y2 = zn * X1;
Y2 -= xn * Z1;
double Z2 = xn * Y1;
Z2 -= yn * X1;
/*
Calculate elements of T and T(inverse) evaluated at free-stream
*/
double ubar0 = xn * velocity_u;
ubar0 += yn * velocity_v;
ubar0 += zn * velocity_w;
double c20 = ubar0 * ubar0 + BETA;
double c0 = sqrt(c20);
double phi1 = xn * BETA;
phi1 += velocity_u * ubar0;
double phi2 = yn * BETA;
phi2 += velocity_v * ubar0;
double phi3 = zn * BETA;
phi3 += velocity_w * ubar0;
double phi4 = Y2 * phi3;
phi4 -= Z2 * phi2;
double phi5 = Z2 * phi1;
phi5 -= X2 * phi3;
double phi6 = X2 * phi2;
phi6 -= Y2 * phi1;
double phi7 = Z1 * phi2;
phi7 -= Y1 * phi3;
double phi8 = X1 * phi3;
phi8 -= Z1 * phi1;
double phi9 = Y1 * phi1;
phi9 -= X1 * phi2;
double t13 = c0 * BETA;
double t23 = velocity_u * (ubar0 + c0);
t23 += xn * BETA;
double t33 = velocity_v * (ubar0 + c0);
t33 += yn * BETA;
double t43 = velocity_w * (ubar0 + c0);
t43 += zn * BETA;
double t14 = -c0 * BETA;
double t24 = velocity_u * (ubar0 - c0);
t24 += xn * BETA;
double t34 = velocity_v * (ubar0 - c0);
t34 += yn * BETA;
double t44 = velocity_w * (ubar0 - c0);
t44 += zn * BETA;
double ti11 = velocity_u * phi4;
ti11 += velocity_v * phi5;
ti11 += velocity_w * phi6;
ti11 = -ti11/BETA;
double ti21 = velocity_u * phi7;
ti21 += velocity_v * phi8;
ti21 += velocity_w * phi9;
ti21 = -ti21/BETA;
double ti31 = 0.5f * (c0 - ubar0);
ti31 /= BETA;
double ti41 = -0.5f * (c0 + ubar0);
ti41 /= BETA;
/*
Now, get the variables on the "inside"
*/
double pi = q[bsz * n + 0];
double ui = q[bsz * n + 1];
double vi = q[bsz * n + 2];
double wi = q[bsz * n + 3];
double un = xn * ui;
un += yn * vi;
un += zn * wi;
/*
If ubar is negative, take the reference condition from outside
*/
double pr, ur, vr, wr;
if(un > 0.f)
{
pr = pi;
ur = ui;
vr = vi;
wr = wi;
}
else
{
pr = pressure;
ur = velocity_u;
vr = velocity_v;
wr = velocity_w;
}
/*
Set rhs
*/
double rhs1 = ti11 * pr;
rhs1 += phi4 * ur;
rhs1 += phi5 * vr;
rhs1 += phi6 * wr;
rhs1 /= c20;
double rhs2 = ti21 * pr;
rhs2 += phi7 * ur;
rhs2 += phi8 * vr;
rhs2 += phi9 * wr;
rhs2 /= c20;
double rhs3 = 2.f * ti31 * pi;
rhs3 += xn * ui;
rhs3 += yn * vi;
rhs3 += zn * wi;
rhs3 = 0.5f * rhs3 / c20;
double rhs4 = 2.f * ti41 * pressure;
rhs4 += xn * velocity_u;
rhs4 += yn * velocity_v;
rhs4 += zn * velocity_w;
rhs4 = 0.5f * rhs4 / c20;
/*
Now do matrix multiplication to get values on boundary
*/
double pb = t13 * rhs3;
pb += t14 * rhs4;
double ub = X1 * rhs1;
ub += X2 * rhs2;
ub += t23 * rhs3;
ub += t24 * rhs4;
double vb = Y1 * rhs1;
vb += Y2 * rhs2;
vb += t33 * rhs3;
vb += t34 * rhs4;
double wb = Z1 * rhs1;
wb += Z2 * rhs2;
wb += t43 * rhs3;
wb += t44 * rhs4;
double ubar = xn * ub;
ubar += yn * vb;
ubar += zn * wb;
uint32_t idx = bsz * n;
r[idx + 0] += area * BETA * ubar;
r[idx + 1] += area * (ub * ubar + xn * pb);
r[idx + 2] += area * (vb * ubar + yn * pb);
r[idx + 3] += area * (wb * ubar + zn * pb);
}
compute_time(&ktime, res->t);
#ifdef __USE_HW_COUNTER
const uint64_t cycle = __rdtsc() - icycle;
struct counters end;
perf_read(fd, &end);
struct tot tot;
perf_calc(start, end, &tot);
res->perf_counters->ctrs->flux.cycles += cycle;
res->perf_counters->ctrs->flux.tot.imcR += tot.imcR;
res->perf_counters->ctrs->flux.tot.imcW += tot.imcW;
res->perf_counters->ctrs->flux.tot.edcR += tot.edcR;
res->perf_counters->ctrs->flux.tot.edcW += tot.edcW;
#endif
} |
GB_unaryop__lnot_fp32_int8.c | //------------------------------------------------------------------------------
// GB_unaryop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2019, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_iterator.h"
#include "GB_unaryop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop__lnot_fp32_int8
// op(A') function: GB_tran__lnot_fp32_int8
// C type: float
// A type: int8_t
// cast: float cij = (float) aij
// unaryop: cij = !(aij != 0)
#define GB_ATYPE \
int8_t
#define GB_CTYPE \
float
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int8_t aij = Ax [pA]
#define GB_CX(p) Cx [p]
// unary operator
#define GB_OP(z, x) \
z = !(x != 0) ;
// casting
#define GB_CASTING(z, x) \
float z = (float) x ;
// cij = op (cast (aij))
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
GB_GETA (aij, Ax, pA) ; \
/* Cx [pC] = op (cast (aij)) */ \
GB_CASTING (x, aij) ; \
GB_OP (GB_CX (pC), x) ; \
}
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_LNOT || GxB_NO_FP32 || GxB_NO_INT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop__lnot_fp32_int8
(
float *restrict Cx,
const int8_t *restrict Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (int64_t p = 0 ; p < anz ; p++)
{
GB_CAST_OP (p, p) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (cast (A')): transpose, typecast, and apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_tran__lnot_fp32_int8
(
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
|
w7_e3c_matvec.c | #include <stdlib.h>
#include <stdio.h>
#include <omp.h>
#include "matvec.h"
// Indexing function.
#define idx(i,j) (i*n + j)
int main(int argc, char const *argv[]) {
if (argc < 3) {
printf("Must provide m and n.\n");
return 1;
}
int m = atoi(argv[1]);
int n = atoi(argv[2]);
double *A = malloc(m*n*sizeof *A); // m*n matrix
double *y = malloc(n * sizeof *y); // n*1 vector
double *x = malloc(m * sizeof *x); // m*1 vector
// Assign some values in parallel
#pragma omp parallel for
for (size_t i = 0; i < m; i++) {
for (size_t j = 0; j < n; j++) {
A[idx(i,j)] = i + j;
}
}
#pragma omp parallel for
for (size_t j = 0; j < n; j++) {
y[j] = j;
}
double start_p = omp_get_wtime();
#pragma omp parallel
{
int thread_id = omp_get_thread_num();
int num_threads = omp_get_num_threads();
// Using integer division to divide up the rows means that the last
// remainder = m%num_threads, gets an extra row.
int start_m = (thread_id*m)/num_threads;
int stop_m = ((thread_id+1)*m)/num_threads;
// calls the serial dense_mat_vec function
dense_mat_vec(stop_m-start_m, n, &x[start_m], &A[start_m*n], y);
}
double end_p = omp_get_wtime();
double tot_p = end_p - start_p;
// Print result
if (m <= 20) {
printf("x=\n[");
for (size_t i = 0; i < m-1; i++) {
printf("%.0lf, ", x[i]);
}
printf("%.0lf]\n", x[m-1]);
}
double start_s = omp_get_wtime();
dense_mat_vec(m, n, x, A, y);
double end_s = omp_get_wtime();
double tot_s = end_s - start_s;
// Print result for comparison
if (m <= 20) {
printf("x=\n[");
for (size_t i = 0; i < m-1; i++) {
printf("%.0lf, ", x[i]);
}
printf("%.0lf]\n", x[m-1]);
}
printf("Time serial: %lf\n", tot_s);
printf("Time parallel: %lf\n", tot_p);
printf("Speedup: %lf\n", tot_s/tot_p);
free(A);
free(y);
free(x);
return 0;
}
|
GB_binop__min_int16.c | //------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2021, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__min_int16)
// A.*B function (eWiseMult): GB (_AemultB)
// A.*B function (eWiseMult): GB (_AemultB_02__min_int16)
// A.*B function (eWiseMult): GB (_AemultB_03__min_int16)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__min_int16)
// A*D function (colscale): GB (_AxD__min_int16)
// D*A function (rowscale): GB (_DxB__min_int16)
// C+=B function (dense accum): GB (_Cdense_accumB__min_int16)
// C+=b function (dense accum): GB (_Cdense_accumb__min_int16)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__min_int16)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__min_int16)
// C=scalar+B GB (_bind1st__min_int16)
// C=scalar+B' GB (_bind1st_tran__min_int16)
// C=A+scalar GB (_bind2nd__min_int16)
// C=A'+scalar GB (_bind2nd_tran__min_int16)
// C type: int16_t
// A type: int16_t
// B,b type: int16_t
// BinaryOp: cij = GB_IMIN (aij, bij)
#define GB_ATYPE \
int16_t
#define GB_BTYPE \
int16_t
#define GB_CTYPE \
int16_t
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int16_t aij = Ax [pA]
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB) \
int16_t bij = Bx [pB]
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
int16_t t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA) \
cij = Ax [pA]
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB) \
cij = Bx [pB]
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z, x, y, i, j) \
z = GB_IMIN (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_MIN || GxB_NO_INT16 || GxB_NO_MIN_INT16)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__min_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_ewise3_noaccum__min_int16)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_dense_ewise3_noaccum_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__min_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__min_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__min_int16)
(
GrB_Matrix C,
const GrB_Matrix A, bool A_is_pattern,
const GrB_Matrix D, bool D_is_pattern,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_colscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__min_int16)
(
GrB_Matrix C,
const GrB_Matrix D, bool D_is_pattern,
const GrB_Matrix B, bool B_is_pattern,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *restrict Cx = (int16_t *) C->x ;
#include "GB_AxB_rowscale_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C = A+B or C<M> = A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__min_int16)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
#include "GB_add_template.c"
GB_FREE_WORK ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C = A.*B or C<M> = A.*B
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_01__min_int16)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_01_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__min_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_03__min_int16)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_03_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__min_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__min_int16)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t *Cx = (int16_t *) Cx_output ;
int16_t x = (*((int16_t *) x_input)) ;
int16_t *Bx = (int16_t *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Bb, p)) continue ;
int16_t bij = Bx [p] ;
Cx [p] = GB_IMIN (x, bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__min_int16)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
int16_t *Cx = (int16_t *) Cx_output ;
int16_t *Ax = (int16_t *) Ax_input ;
int16_t y = (*((int16_t *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
int16_t aij = Ax [p] ;
Cx [p] = GB_IMIN (aij, y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = GB_IMIN (x, aij) ; \
}
GrB_Info GB (_bind1st_tran__min_int16)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int16_t x = (*((const int16_t *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
int16_t
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
int16_t aij = Ax [pA] ; \
Cx [pC] = GB_IMIN (aij, y) ; \
}
GrB_Info GB (_bind2nd_tran__min_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
|
llramp.c | #include<Python.h>
#include<numpy/arrayobject.h>
#include<math.h>
#include<omp.h>
#define IND(a,i) *((double *)(a->data+i*a->strides[0]))
static PyObject *llramp(PyObject *self, PyObject *args, PyObject *keywds);
static PyObject *llramp(PyObject *self, PyObject *args, PyObject *keywds)
{
PyObject *etc;
PyArrayObject *x,*y, *rampparams;
double x0,a,b,c,x1;
int i;
npy_intp dims[1];
//etc = PyList_New(0);
static char *kwlist[] = {"rampparams","x","etc",NULL};
if(!PyArg_ParseTupleAndKeywords(args,keywds,"OO|O",kwlist,&rampparams,&x,&etc))
{
return NULL;
}
x0 = IND(rampparams,0);
a = IND(rampparams,1);
b = IND(rampparams,2);
c = IND(rampparams,3);
x1 = IND(rampparams,4);
dims[0] = x->dimensions[0];
y = (PyArrayObject *) PyArray_SimpleNew(1,dims,PyArray_DOUBLE);
#pragma omp parallel for
for(i=0;i<dims[0];i++)
{
IND(y,i) = 1;
if(IND(x,i)>x0)
{
IND(y,i) = a*log(IND(x,i)-x0)+b*(IND(x,i)-x1)+c;
}
}
return PyArray_Return(y);
}
static char module_docstring[]="\
This function creates a model that fits a ramp using a log + linear ploynomial.\n\
\n\
Parameters\n\
----------\n\
x0: phase offset for log term\n\
a: log(x) constant\n\
b: x constant\n\
c: x=0 offset\n\
x1: phase offset for polynomial\n\
x: Array of time/phase points\n\
\n\
Returns\n\
-------\n\
This function returns the flux values for the ramp models\n\
\n\
Revisions\n\
---------\n\
2008-08-31 Kevin Stevenson, UCF \n\
kevin218@knights.ucf.edu\n\
Original version\n\
2010-07-07 Kevin Stevenson\n\
New code for when x < x0\n\
2010-12-26 Nate Lust, UCF\n\
natelust at linux dot com\n\
Updated to C extension\n\
2018-11-22 Jonathan Fraine, SSI\n\
jfraine at spacescience.org\n\
Updated c extensions to python3, with support for python2.7\n\
";
static PyMethodDef module_methods[] = {
{"llramp",(PyCFunction)llramp,METH_VARARGS|METH_KEYWORDS,module_docstring},{NULL}};
PyMODINIT_FUNC
#if PY_MAJOR_VERSION >= 3
PyInit_llramp(void)
#else
initllramp(void)
#endif
{
#if PY_MAJOR_VERSION >= 3
PyObject *module;
static struct PyModuleDef moduledef = {
PyModuleDef_HEAD_INIT,
"llramp", /* m_name */
module_docstring, /* m_doc */
-1, /* m_size */
module_methods, /* m_methods */
NULL, /* m_reload */
NULL, /* m_traverse */
NULL, /* m_clear */
NULL, /* m_free */
};
#endif
#if PY_MAJOR_VERSION >= 3
module = PyModule_Create(&moduledef);
if (!module)
return NULL;
/* Load `numpy` functionality. */
import_array();
return module;
#else
PyObject *m = Py_InitModule3("llramp", module_methods, module_docstring);
if (m == NULL)
return;
/* Load `numpy` functionality. */
import_array();
#endif
}
|
omp_parallel_for_reduction.c | // RUN: %libomp-compile-and-run
#include <stdio.h>
#include <math.h>
#include "omp_testsuite.h"
#define DOUBLE_DIGITS 20 /* dt^DOUBLE_DIGITS */
#define MAX_FACTOR 10
#define KNOWN_PRODUCT 3628800 /* 10! */
int test_omp_parallel_for_reduction()
{
int sum;
int known_sum;
double dsum;
double dknown_sum;
double dt=0.5; /* base of geometric row for + and - test*/
double rounding_error= 1.E-9;
int diff;
double ddiff;
int product;
int known_product;
int logic_and;
int logic_or;
int bit_and;
int bit_or;
int exclusiv_bit_or;
int logics[LOOPCOUNT];
int i;
double dpt;
int result;
sum =0;
dsum=0;
dt = 1./3.;
result = 0;
product = 1;
logic_and=1;
logic_or=0;
bit_and=1;
bit_or=0;
exclusiv_bit_or=0;
/* Tests for integers */
known_sum = (LOOPCOUNT*(LOOPCOUNT+1))/2;
#pragma omp parallel for schedule(dynamic,1) private(i) reduction(+:sum)
for (i=1;i<=LOOPCOUNT;i++) {
sum=sum+i;
}
if(known_sum!=sum) {
result++;
fprintf(stderr,"Error in sum with integers: Result was %d"
" instead of %d\n",sum,known_sum);
}
diff = (LOOPCOUNT*(LOOPCOUNT+1))/2;
#pragma omp parallel for schedule(dynamic,1) private(i) reduction(-:diff)
for (i=1;i<=LOOPCOUNT;++i) {
diff=diff-i;
}
if(diff != 0) {
result++;
fprintf(stderr,"Error in difference with integers: Result was %d"
" instead of 0.\n",diff);
}
/* Tests for doubles */
dsum=0;
dpt=1;
for (i=0;i<DOUBLE_DIGITS;++i) {
dpt*=dt;
}
dknown_sum = (1-dpt)/(1-dt);
#pragma omp parallel for schedule(dynamic,1) private(i) reduction(+:dsum)
for (i=0;i<DOUBLE_DIGITS;++i) {
dsum += pow(dt,i);
}
if( fabs(dsum-dknown_sum) > rounding_error ) {
result++;
fprintf(stderr,"Error in sum with doubles: Result was %f"
" instead of %f (Difference: %E)\n",
dsum, dknown_sum, dsum-dknown_sum);
}
dpt=1;
for (i=0;i<DOUBLE_DIGITS;++i) {
dpt*=dt;
}
fprintf(stderr,"\n");
ddiff = (1-dpt)/(1-dt);
#pragma omp parallel for schedule(dynamic,1) private(i) reduction(-:ddiff)
for (i=0;i<DOUBLE_DIGITS;++i) {
ddiff -= pow(dt,i);
}
if( fabs(ddiff) > rounding_error) {
result++;
fprintf(stderr,"Error in Difference with doubles: Result was %E"
" instead of 0.0\n",ddiff);
}
/* Tests for integers */
#pragma omp parallel for schedule(dynamic,1) private(i) reduction(*:product)
for(i=1;i<=MAX_FACTOR;i++) {
product *= i;
}
known_product = KNOWN_PRODUCT;
if(known_product != product) {
result++;
fprintf(stderr,"Error in Product with integers: Result was %d"
" instead of %d\n\n",product,known_product);
}
/* Tests for logic AND */
for(i=0;i<LOOPCOUNT;i++) {
logics[i]=1;
}
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(&&:logic_and)
for(i=0;i<LOOPCOUNT;++i) {
logic_and = (logic_and && logics[i]);
}
if(!logic_and) {
result++;
fprintf(stderr,"Error in logic AND part 1.\n");
}
logic_and = 1;
logics[LOOPCOUNT/2]=0;
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(&&:logic_and)
for(i=0;i<LOOPCOUNT;++i) {
logic_and = logic_and && logics[i];
}
if(logic_and) {
result++;
fprintf(stderr,"Error in logic AND part 2.\n");
}
/* Tests for logic OR */
for(i=0;i<LOOPCOUNT;i++) {
logics[i]=0;
}
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(||:logic_or)
for(i=0;i<LOOPCOUNT;++i) {
logic_or = logic_or || logics[i];
}
if(logic_or) {
result++;
fprintf(stderr,"Error in logic OR part 1.\n");
}
logic_or = 0;
logics[LOOPCOUNT/2]=1;
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(||:logic_or)
for(i=0;i<LOOPCOUNT;++i) {
logic_or = logic_or || logics[i];
}
if(!logic_or) {
result++;
fprintf(stderr,"Error in logic OR part 2.\n");
}
/* Tests for bitwise AND */
for(i=0;i<LOOPCOUNT;++i) {
logics[i]=1;
}
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(&:bit_and)
for(i=0;i<LOOPCOUNT;++i) {
bit_and = (bit_and & logics[i]);
}
if(!bit_and) {
result++;
fprintf(stderr,"Error in BIT AND part 1.\n");
}
bit_and = 1;
logics[LOOPCOUNT/2]=0;
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(&:bit_and)
for(i=0;i<LOOPCOUNT;++i) {
bit_and = bit_and & logics[i];
}
if(bit_and) {
result++;
fprintf(stderr,"Error in BIT AND part 2.\n");
}
/* Tests for bitwise OR */
for(i=0;i<LOOPCOUNT;i++) {
logics[i]=0;
}
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(|:bit_or)
for(i=0;i<LOOPCOUNT;++i) {
bit_or = bit_or | logics[i];
}
if(bit_or) {
result++;
fprintf(stderr,"Error in BIT OR part 1\n");
}
bit_or = 0;
logics[LOOPCOUNT/2]=1;
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(|:bit_or)
for(i=0;i<LOOPCOUNT;++i) {
bit_or = bit_or | logics[i];
}
if(!bit_or) {
result++;
fprintf(stderr,"Error in BIT OR part 2\n");
}
/* Tests for bitwise XOR */
for(i=0;i<LOOPCOUNT;i++) {
logics[i]=0;
}
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(^:exclusiv_bit_or)
for(i=0;i<LOOPCOUNT;++i) {
exclusiv_bit_or = exclusiv_bit_or ^ logics[i];
}
if(exclusiv_bit_or) {
result++;
fprintf(stderr,"Error in EXCLUSIV BIT OR part 1\n");
}
exclusiv_bit_or = 0;
logics[LOOPCOUNT/2]=1;
#pragma omp parallel for schedule(dynamic,1) private(i) \
reduction(^:exclusiv_bit_or)
for(i=0;i<LOOPCOUNT;++i) {
exclusiv_bit_or = exclusiv_bit_or ^ logics[i];
}
if(!exclusiv_bit_or) {
result++;
fprintf(stderr,"Error in EXCLUSIV BIT OR part 2\n");
}
/*printf("\nResult:%d\n",result);*/
return (result==0);
}
int main()
{
int i;
int num_failed=0;
for(i = 0; i < REPETITIONS; i++) {
if(!test_omp_parallel_for_reduction()) {
num_failed++;
}
}
return num_failed;
}
|
dump-new-function-2.c | /* { dg-do compile } */
/* { dg-options "-O2 -fopenmp -fdump-tree-gimple" } */
void __attribute__((noinline))
baz (int *p)
{
}
void
foo (void)
{
int p[2];
p[0] = 1;
p[1] = 3;
#pragma omp task firstprivate (p)
baz (p);
}
/* Check that new function does not end up in gimple dump. */
/* { dg-final { scan-tree-dump-not "foo\\._omp_cpyfn\\.1 \\(struct" "gimple" } } */
|
transform.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% TTTTT RRRR AAA N N SSSSS FFFFF OOO RRRR M M %
% T R R A A NN N SS F O O R R MM MM %
% T RRRR AAAAA N N N SSS FFF O O RRRR M M M %
% T R R A A N NN SS F O O R R M M %
% T R R A A N N SSSSS F OOO R R M M %
% %
% %
% MagickCore Image Transform Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2017 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/attribute.h"
#include "MagickCore/cache.h"
#include "MagickCore/cache-view.h"
#include "MagickCore/color.h"
#include "MagickCore/color-private.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite.h"
#include "MagickCore/distort.h"
#include "MagickCore/draw.h"
#include "MagickCore/effect.h"
#include "MagickCore/exception.h"
#include "MagickCore/exception-private.h"
#include "MagickCore/geometry.h"
#include "MagickCore/image.h"
#include "MagickCore/memory_.h"
#include "MagickCore/layer.h"
#include "MagickCore/list.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/resource_.h"
#include "MagickCore/resize.h"
#include "MagickCore/statistic.h"
#include "MagickCore/string_.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/transform.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A u t o O r i e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AutoOrientImage() adjusts an image so that its orientation is suitable for
% viewing (i.e. top-left orientation).
%
% The format of the AutoOrientImage method is:
%
% Image *AutoOrientImage(const Image *image,
% const OrientationType orientation,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: The image.
%
% o orientation: Current image orientation.
%
% o exception: Return any errors or warnings in this structure.
%
*/
MagickExport Image *AutoOrientImage(const Image *image,
const OrientationType orientation,ExceptionInfo *exception)
{
Image
*orient_image;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
orient_image=(Image *) NULL;
switch(orientation)
{
case UndefinedOrientation:
case TopLeftOrientation:
default:
{
orient_image=CloneImage(image,0,0,MagickTrue,exception);
break;
}
case TopRightOrientation:
{
orient_image=FlopImage(image,exception);
break;
}
case BottomRightOrientation:
{
orient_image=RotateImage(image,180.0,exception);
break;
}
case BottomLeftOrientation:
{
orient_image=FlipImage(image,exception);
break;
}
case LeftTopOrientation:
{
orient_image=TransposeImage(image,exception);
break;
}
case RightTopOrientation:
{
orient_image=RotateImage(image,90.0,exception);
break;
}
case RightBottomOrientation:
{
orient_image=TransverseImage(image,exception);
break;
}
case LeftBottomOrientation:
{
orient_image=RotateImage(image,270.0,exception);
break;
}
}
if (orient_image != (Image *) NULL)
orient_image->orientation=TopLeftOrientation;
return(orient_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h o p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ChopImage() removes a region of an image and collapses the image to occupy
% the removed portion.
%
% The format of the ChopImage method is:
%
% Image *ChopImage(const Image *image,const RectangleInfo *chop_info)
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o chop_info: Define the region of the image to chop.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ChopImage(const Image *image,const RectangleInfo *chop_info,
ExceptionInfo *exception)
{
#define ChopImageTag "Chop/Image"
CacheView
*chop_view,
*image_view;
Image
*chop_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
extent;
ssize_t
y;
/*
Check chop geometry.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
assert(chop_info != (RectangleInfo *) NULL);
if (((chop_info->x+(ssize_t) chop_info->width) < 0) ||
((chop_info->y+(ssize_t) chop_info->height) < 0) ||
(chop_info->x > (ssize_t) image->columns) ||
(chop_info->y > (ssize_t) image->rows))
ThrowImageException(OptionWarning,"GeometryDoesNotContainImage");
extent=(*chop_info);
if ((extent.x+(ssize_t) extent.width) > (ssize_t) image->columns)
extent.width=(size_t) ((ssize_t) image->columns-extent.x);
if ((extent.y+(ssize_t) extent.height) > (ssize_t) image->rows)
extent.height=(size_t) ((ssize_t) image->rows-extent.y);
if (extent.x < 0)
{
extent.width-=(size_t) (-extent.x);
extent.x=0;
}
if (extent.y < 0)
{
extent.height-=(size_t) (-extent.y);
extent.y=0;
}
chop_image=CloneImage(image,image->columns-extent.width,image->rows-
extent.height,MagickTrue,exception);
if (chop_image == (Image *) NULL)
return((Image *) NULL);
/*
Extract chop image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
chop_view=AcquireAuthenticCacheView(chop_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,chop_image,1,1)
#endif
for (y=0; y < (ssize_t) extent.y; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(chop_view,0,y,chop_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((x < extent.x) || (x >= (ssize_t) (extent.x+extent.width)))
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait chop_traits=GetPixelChannelTraits(chop_image,channel);
if ((traits == UndefinedPixelTrait) ||
(chop_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(chop_image,channel,p[i],q);
}
q+=GetPixelChannels(chop_image);
}
p+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(chop_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ChopImage)
#endif
proceed=SetImageProgress(image,ChopImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
/*
Extract chop image.
*/
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,chop_image,1,1)
#endif
for (y=0; y < (ssize_t) (image->rows-(extent.y+extent.height)); y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,extent.y+extent.height+y,
image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(chop_view,0,extent.y+y,chop_image->columns,
1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if ((x < extent.x) || (x >= (ssize_t) (extent.x+extent.width)))
{
register ssize_t
i;
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait chop_traits=GetPixelChannelTraits(chop_image,channel);
if ((traits == UndefinedPixelTrait) ||
(chop_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(chop_image,channel,p[i],q);
}
q+=GetPixelChannels(chop_image);
}
p+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(chop_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ChopImage)
#endif
proceed=SetImageProgress(image,ChopImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
chop_view=DestroyCacheView(chop_view);
image_view=DestroyCacheView(image_view);
chop_image->type=image->type;
if (status == MagickFalse)
chop_image=DestroyImage(chop_image);
return(chop_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ C o n s o l i d a t e C M Y K I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ConsolidateCMYKImage() consolidates separate C, M, Y, and K planes into a
% single image.
%
% The format of the ConsolidateCMYKImage method is:
%
% Image *ConsolidateCMYKImage(const 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 *ConsolidateCMYKImages(const Image *images,
ExceptionInfo *exception)
{
CacheView
*cmyk_view,
*image_view;
Image
*cmyk_image,
*cmyk_images;
register ssize_t
j;
ssize_t
y;
/*
Consolidate separate C, M, Y, and K planes into a single image.
*/
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
cmyk_images=NewImageList();
for (j=0; j < (ssize_t) GetImageListLength(images); j+=4)
{
register ssize_t
i;
assert(images != (Image *) NULL);
cmyk_image=CloneImage(images,images->columns,images->rows,MagickTrue,
exception);
if (cmyk_image == (Image *) NULL)
break;
if (SetImageStorageClass(cmyk_image,DirectClass,exception) == MagickFalse)
break;
(void) SetImageColorspace(cmyk_image,CMYKColorspace,exception);
for (i=0; i < 4; i++)
{
image_view=AcquireVirtualCacheView(images,exception);
cmyk_view=AcquireAuthenticCacheView(cmyk_image,exception);
for (y=0; y < (ssize_t) images->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
p=GetCacheViewVirtualPixels(image_view,0,y,images->columns,1,exception);
q=QueueCacheViewAuthenticPixels(cmyk_view,0,y,cmyk_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
break;
for (x=0; x < (ssize_t) images->columns; x++)
{
Quantum
pixel;
pixel=QuantumRange-GetPixelIntensity(images,p);
switch (i)
{
case 0: SetPixelCyan(cmyk_image,pixel,q); break;
case 1: SetPixelMagenta(cmyk_image,pixel,q); break;
case 2: SetPixelYellow(cmyk_image,pixel,q); break;
case 3: SetPixelBlack(cmyk_image,pixel,q); break;
default: break;
}
p+=GetPixelChannels(images);
q+=GetPixelChannels(cmyk_image);
}
if (SyncCacheViewAuthenticPixels(cmyk_view,exception) == MagickFalse)
break;
}
cmyk_view=DestroyCacheView(cmyk_view);
image_view=DestroyCacheView(image_view);
images=GetNextImageInList(images);
if (images == (Image *) NULL)
break;
}
AppendImageToList(&cmyk_images,cmyk_image);
}
return(cmyk_images);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C r o p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CropImage() extracts a region of the image starting at the offset defined
% by geometry. Region must be fully defined, and no special handling of
% geometry flags is performed.
%
% The format of the CropImage method is:
%
% Image *CropImage(const 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 Image *CropImage(const Image *image,const RectangleInfo *geometry,
ExceptionInfo *exception)
{
#define CropImageTag "Crop/Image"
CacheView
*crop_view,
*image_view;
Image
*crop_image;
MagickBooleanType
status;
MagickOffsetType
progress;
OffsetInfo
offset;
RectangleInfo
bounding_box,
page;
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);
bounding_box=image->page;
if ((bounding_box.width == 0) || (bounding_box.height == 0))
{
bounding_box.width=image->columns;
bounding_box.height=image->rows;
}
page=(*geometry);
if (page.width == 0)
page.width=bounding_box.width;
if (page.height == 0)
page.height=bounding_box.height;
if (((bounding_box.x-page.x) >= (ssize_t) page.width) ||
((bounding_box.y-page.y) >= (ssize_t) page.height) ||
((page.x-bounding_box.x) > (ssize_t) image->columns) ||
((page.y-bounding_box.y) > (ssize_t) image->rows))
{
/*
Crop is not within virtual canvas, return 1 pixel transparent image.
*/
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
crop_image=CloneImage(image,1,1,MagickTrue,exception);
if (crop_image == (Image *) NULL)
return((Image *) NULL);
crop_image->background_color.alpha=(Quantum) TransparentAlpha;
crop_image->alpha_trait=BlendPixelTrait;
(void) SetImageBackgroundColor(crop_image,exception);
crop_image->page=bounding_box;
crop_image->page.x=(-1);
crop_image->page.y=(-1);
if (crop_image->dispose == BackgroundDispose)
crop_image->dispose=NoneDispose;
return(crop_image);
}
if ((page.x < 0) && (bounding_box.x >= 0))
{
page.width+=page.x-bounding_box.x;
page.x=0;
}
else
{
page.width-=bounding_box.x-page.x;
page.x-=bounding_box.x;
if (page.x < 0)
page.x=0;
}
if ((page.y < 0) && (bounding_box.y >= 0))
{
page.height+=page.y-bounding_box.y;
page.y=0;
}
else
{
page.height-=bounding_box.y-page.y;
page.y-=bounding_box.y;
if (page.y < 0)
page.y=0;
}
if ((page.x+(ssize_t) page.width) > (ssize_t) image->columns)
page.width=image->columns-page.x;
if ((geometry->width != 0) && (page.width > geometry->width))
page.width=geometry->width;
if ((page.y+(ssize_t) page.height) > (ssize_t) image->rows)
page.height=image->rows-page.y;
if ((geometry->height != 0) && (page.height > geometry->height))
page.height=geometry->height;
bounding_box.x+=page.x;
bounding_box.y+=page.y;
if ((page.width == 0) || (page.height == 0))
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionWarning,
"GeometryDoesNotContainImage","`%s'",image->filename);
return((Image *) NULL);
}
/*
Initialize crop image attributes.
*/
crop_image=CloneImage(image,page.width,page.height,MagickTrue,exception);
if (crop_image == (Image *) NULL)
return((Image *) NULL);
crop_image->page.width=image->page.width;
crop_image->page.height=image->page.height;
offset.x=(ssize_t) (bounding_box.x+bounding_box.width);
offset.y=(ssize_t) (bounding_box.y+bounding_box.height);
if ((offset.x > (ssize_t) image->page.width) ||
(offset.y > (ssize_t) image->page.height))
{
crop_image->page.width=bounding_box.width;
crop_image->page.height=bounding_box.height;
}
crop_image->page.x=bounding_box.x;
crop_image->page.y=bounding_box.y;
/*
Crop image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
crop_view=AcquireAuthenticCacheView(crop_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,crop_image,1,1)
#endif
for (y=0; y < (ssize_t) crop_image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,page.x,page.y+y,crop_image->columns,
1,exception);
q=QueueCacheViewAuthenticPixels(crop_view,0,y,crop_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) crop_image->columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,p) == 0)
{
SetPixelBackgoundColor(crop_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(crop_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait crop_traits=GetPixelChannelTraits(crop_image,channel);
if ((traits == UndefinedPixelTrait) ||
(crop_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(crop_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(crop_image);
}
if (SyncCacheViewAuthenticPixels(crop_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_CropImage)
#endif
proceed=SetImageProgress(image,CropImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
crop_view=DestroyCacheView(crop_view);
image_view=DestroyCacheView(image_view);
crop_image->type=image->type;
if (status == MagickFalse)
crop_image=DestroyImage(crop_image);
return(crop_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C r o p I m a g e T o T i l e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CropImageToTiles() crops a single image, into a possible list of tiles.
% This may include a single sub-region of the image. This basically applies
% all the normal geometry flags for Crop.
%
% Image *CropImageToTiles(const Image *image,
% const RectangleInfo *crop_geometry, ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image The transformed image is returned as this parameter.
%
% o crop_geometry: A crop geometry string.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline double MagickRound(double x)
{
/*
Round the fraction to nearest integer.
*/
if ((x-floor(x)) < (ceil(x)-x))
return(floor(x));
return(ceil(x));
}
MagickExport Image *CropImageToTiles(const Image *image,
const char *crop_geometry,ExceptionInfo *exception)
{
Image
*next,
*crop_image;
MagickStatusType
flags;
RectangleInfo
geometry;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
crop_image=NewImageList();
next=NewImageList();
flags=ParseGravityGeometry(image,crop_geometry,&geometry,exception);
if ((flags & AreaValue) != 0)
{
PointInfo
delta,
offset;
RectangleInfo
crop;
size_t
height,
width;
/*
Crop into NxM tiles (@ flag).
*/
width=image->columns;
height=image->rows;
if (geometry.width == 0)
geometry.width=1;
if (geometry.height == 0)
geometry.height=1;
if ((flags & AspectValue) == 0)
{
width-=(geometry.x < 0 ? -1 : 1)*geometry.x;
height-=(geometry.y < 0 ? -1 : 1)*geometry.y;
}
else
{
width+=(geometry.x < 0 ? -1 : 1)*geometry.x;
height+=(geometry.y < 0 ? -1 : 1)*geometry.y;
}
delta.x=(double) width/geometry.width;
delta.y=(double) height/geometry.height;
if (delta.x < 1.0)
delta.x=1.0;
if (delta.y < 1.0)
delta.y=1.0;
for (offset.y=0; offset.y < (double) height; )
{
if ((flags & AspectValue) == 0)
{
crop.y=(ssize_t) MagickRound((double) (offset.y-
(geometry.y > 0 ? 0 : geometry.y)));
offset.y+=delta.y; /* increment now to find width */
crop.height=(size_t) MagickRound((double) (offset.y+
(geometry.y < 0 ? 0 : geometry.y)));
}
else
{
crop.y=(ssize_t) MagickRound((double) (offset.y-
(geometry.y > 0 ? geometry.y : 0)));
offset.y+=delta.y; /* increment now to find width */
crop.height=(size_t) MagickRound((double)
(offset.y+(geometry.y < -1 ? geometry.y : 0)));
}
crop.height-=crop.y;
crop.y+=image->page.y;
for (offset.x=0; offset.x < (double) width; )
{
if ((flags & AspectValue) == 0)
{
crop.x=(ssize_t) MagickRound((double) (offset.x-
(geometry.x > 0 ? 0 : geometry.x)));
offset.x+=delta.x; /* increment now to find height */
crop.width=(size_t) MagickRound((double) (offset.x+
(geometry.x < 0 ? 0 : geometry.x)));
}
else
{
crop.x=(ssize_t) MagickRound((double) (offset.x-
(geometry.x > 0 ? geometry.x : 0)));
offset.x+=delta.x; /* increment now to find height */
crop.width=(size_t) MagickRound((double) (offset.x+
(geometry.x < 0 ? geometry.x : 0)));
}
crop.width-=crop.x;
crop.x+=image->page.x;
next=CropImage(image,&crop,exception);
if (next != (Image *) NULL)
AppendImageToList(&crop_image,next);
}
}
ClearMagickException(exception);
return(crop_image);
}
if (((geometry.width == 0) && (geometry.height == 0)) ||
((flags & XValue) != 0) || ((flags & YValue) != 0))
{
/*
Crop a single region at +X+Y.
*/
crop_image=CropImage(image,&geometry,exception);
if ((crop_image != (Image *) NULL) && ((flags & AspectValue) != 0))
{
crop_image->page.width=geometry.width;
crop_image->page.height=geometry.height;
crop_image->page.x-=geometry.x;
crop_image->page.y-=geometry.y;
}
return(crop_image);
}
if ((image->columns > geometry.width) || (image->rows > geometry.height))
{
RectangleInfo
page;
size_t
height,
width;
ssize_t
x,
y;
/*
Crop into tiles of fixed size WxH.
*/
page=image->page;
if (page.width == 0)
page.width=image->columns;
if (page.height == 0)
page.height=image->rows;
width=geometry.width;
if (width == 0)
width=page.width;
height=geometry.height;
if (height == 0)
height=page.height;
next=NewImageList();
for (y=0; y < (ssize_t) page.height; y+=(ssize_t) height)
{
for (x=0; x < (ssize_t) page.width; x+=(ssize_t) width)
{
geometry.width=width;
geometry.height=height;
geometry.x=x;
geometry.y=y;
next=CropImage(image,&geometry,exception);
if (next == (Image *) NULL)
break;
AppendImageToList(&crop_image,next);
}
if (next == (Image *) NULL)
break;
}
return(crop_image);
}
return(CloneImage(image,0,0,MagickTrue,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E x c e r p t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ExcerptImage() returns a excerpt of the image as defined by the geometry.
%
% The format of the ExcerptImage method is:
%
% Image *ExcerptImage(const 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 extend with members
% x, y, width, and height.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ExcerptImage(const Image *image,
const RectangleInfo *geometry,ExceptionInfo *exception)
{
#define ExcerptImageTag "Excerpt/Image"
CacheView
*excerpt_view,
*image_view;
Image
*excerpt_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Allocate excerpt image.
*/
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);
excerpt_image=CloneImage(image,geometry->width,geometry->height,MagickTrue,
exception);
if (excerpt_image == (Image *) NULL)
return((Image *) NULL);
/*
Excerpt each row.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
excerpt_view=AcquireAuthenticCacheView(excerpt_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,excerpt_image,excerpt_image->rows,1)
#endif
for (y=0; y < (ssize_t) excerpt_image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,geometry->x,geometry->y+y,
geometry->width,1,exception);
q=GetCacheViewAuthenticPixels(excerpt_view,0,y,excerpt_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) excerpt_image->columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,p) == 0)
{
SetPixelBackgoundColor(excerpt_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(excerpt_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait excerpt_traits=GetPixelChannelTraits(excerpt_image,channel);
if ((traits == UndefinedPixelTrait) ||
(excerpt_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(excerpt_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(excerpt_image);
}
if (SyncCacheViewAuthenticPixels(excerpt_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_ExcerptImage)
#endif
proceed=SetImageProgress(image,ExcerptImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
excerpt_view=DestroyCacheView(excerpt_view);
image_view=DestroyCacheView(image_view);
excerpt_image->type=image->type;
if (status == MagickFalse)
excerpt_image=DestroyImage(excerpt_image);
return(excerpt_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% E x t e n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ExtentImage() extends the image as defined by the geometry, gravity, and
% image background color. Set the (x,y) offset of the geometry to move the
% original image relative to the extended image.
%
% The format of the ExtentImage method is:
%
% Image *ExtentImage(const 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 extend with members
% x, y, width, and height.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ExtentImage(const Image *image,
const RectangleInfo *geometry,ExceptionInfo *exception)
{
Image
*extent_image;
/*
Allocate extent image.
*/
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 ((image->columns == geometry->width) &&
(image->rows == geometry->height) &&
(geometry->x == 0) && (geometry->y == 0))
return(CloneImage(image,0,0,MagickTrue,exception));
extent_image=CloneImage(image,geometry->width,geometry->height,MagickTrue,
exception);
if (extent_image == (Image *) NULL)
return((Image *) NULL);
(void) SetImageBackgroundColor(extent_image,exception);
(void) CompositeImage(extent_image,image,image->compose,MagickTrue,
-geometry->x,-geometry->y,exception);
return(extent_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F l i p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FlipImage() creates a vertical mirror image by reflecting the pixels
% around the central x-axis.
%
% The format of the FlipImage method is:
%
% Image *FlipImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *FlipImage(const Image *image,ExceptionInfo *exception)
{
#define FlipImageTag "Flip/Image"
CacheView
*flip_view,
*image_view;
Image
*flip_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
page;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
flip_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if (flip_image == (Image *) NULL)
return((Image *) NULL);
/*
Flip image.
*/
status=MagickTrue;
progress=0;
page=image->page;
image_view=AcquireVirtualCacheView(image,exception);
flip_view=AcquireAuthenticCacheView(flip_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,flip_image,1,1)
#endif
for (y=0; y < (ssize_t) flip_image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(flip_view,0,(ssize_t) (flip_image->rows-y-
1),flip_image->columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) flip_image->columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,p) == 0)
{
SetPixelBackgoundColor(flip_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(flip_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait flip_traits=GetPixelChannelTraits(flip_image,channel);
if ((traits == UndefinedPixelTrait) ||
(flip_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(flip_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(flip_image);
}
if (SyncCacheViewAuthenticPixels(flip_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_FlipImage)
#endif
proceed=SetImageProgress(image,FlipImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
flip_view=DestroyCacheView(flip_view);
image_view=DestroyCacheView(image_view);
flip_image->type=image->type;
if (page.height != 0)
page.y=(ssize_t) (page.height-flip_image->rows-page.y);
flip_image->page=page;
if (status == MagickFalse)
flip_image=DestroyImage(flip_image);
return(flip_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% F l o p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% FlopImage() creates a horizontal mirror image by reflecting the pixels
% around the central y-axis.
%
% The format of the FlopImage method is:
%
% Image *FlopImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *FlopImage(const Image *image,ExceptionInfo *exception)
{
#define FlopImageTag "Flop/Image"
CacheView
*flop_view,
*image_view;
Image
*flop_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
page;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
flop_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if (flop_image == (Image *) NULL)
return((Image *) NULL);
/*
Flop each row.
*/
status=MagickTrue;
progress=0;
page=image->page;
image_view=AcquireVirtualCacheView(image,exception);
flop_view=AcquireAuthenticCacheView(flop_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(image,flop_image,1,1)
#endif
for (y=0; y < (ssize_t) flop_image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(flop_view,0,y,flop_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
q+=GetPixelChannels(flop_image)*flop_image->columns;
for (x=0; x < (ssize_t) flop_image->columns; x++)
{
register ssize_t
i;
q-=GetPixelChannels(flop_image);
if (GetPixelWriteMask(image,p) == 0)
{
p+=GetPixelChannels(image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait flop_traits=GetPixelChannelTraits(flop_image,channel);
if ((traits == UndefinedPixelTrait) ||
(flop_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(flop_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(flop_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_FlopImage)
#endif
proceed=SetImageProgress(image,FlopImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
flop_view=DestroyCacheView(flop_view);
image_view=DestroyCacheView(image_view);
flop_image->type=image->type;
if (page.width != 0)
page.x=(ssize_t) (page.width-flop_image->columns-page.x);
flop_image->page=page;
if (status == MagickFalse)
flop_image=DestroyImage(flop_image);
return(flop_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R o l l I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% RollImage() offsets an image as defined by x_offset and y_offset.
%
% The format of the RollImage method is:
%
% Image *RollImage(const Image *image,const ssize_t x_offset,
% const ssize_t y_offset,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o x_offset: the number of columns to roll in the horizontal direction.
%
% o y_offset: the number of rows to roll in the vertical direction.
%
% o exception: return any errors or warnings in this structure.
%
*/
static MagickBooleanType CopyImageRegion(Image *destination,const Image *source, const size_t columns,const size_t rows,const ssize_t sx,const ssize_t sy,
const ssize_t dx,const ssize_t dy,ExceptionInfo *exception)
{
CacheView
*source_view,
*destination_view;
MagickBooleanType
status;
ssize_t
y;
if (columns == 0)
return(MagickTrue);
status=MagickTrue;
source_view=AcquireVirtualCacheView(source,exception);
destination_view=AcquireAuthenticCacheView(destination,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(source,destination,rows,1)
#endif
for (y=0; y < (ssize_t) rows; y++)
{
MagickBooleanType
sync;
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
/*
Transfer scanline.
*/
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(source_view,sx,sy+y,columns,1,exception);
q=GetCacheViewAuthenticPixels(destination_view,dx,dy+y,columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(source,p) == 0)
{
SetPixelBackgoundColor(destination,q);
p+=GetPixelChannels(source);
q+=GetPixelChannels(destination);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(source); i++)
{
PixelChannel channel=GetPixelChannelChannel(source,i);
PixelTrait source_traits=GetPixelChannelTraits(source,channel);
PixelTrait destination_traits=GetPixelChannelTraits(destination,
channel);
if ((source_traits == UndefinedPixelTrait) ||
(destination_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(destination,channel,p[i],q);
}
p+=GetPixelChannels(source);
q+=GetPixelChannels(destination);
}
sync=SyncCacheViewAuthenticPixels(destination_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
destination_view=DestroyCacheView(destination_view);
source_view=DestroyCacheView(source_view);
return(status);
}
MagickExport Image *RollImage(const Image *image,const ssize_t x_offset,
const ssize_t y_offset,ExceptionInfo *exception)
{
#define RollImageTag "Roll/Image"
Image
*roll_image;
MagickStatusType
status;
RectangleInfo
offset;
/*
Initialize roll image attributes.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
roll_image=CloneImage(image,image->columns,image->rows,MagickTrue,exception);
if (roll_image == (Image *) NULL)
return((Image *) NULL);
offset.x=x_offset;
offset.y=y_offset;
while (offset.x < 0)
offset.x+=(ssize_t) image->columns;
while (offset.x >= (ssize_t) image->columns)
offset.x-=(ssize_t) image->columns;
while (offset.y < 0)
offset.y+=(ssize_t) image->rows;
while (offset.y >= (ssize_t) image->rows)
offset.y-=(ssize_t) image->rows;
/*
Roll image.
*/
status=CopyImageRegion(roll_image,image,(size_t) offset.x,
(size_t) offset.y,(ssize_t) image->columns-offset.x,(ssize_t) image->rows-
offset.y,0,0,exception);
(void) SetImageProgress(image,RollImageTag,0,3);
status&=CopyImageRegion(roll_image,image,image->columns-offset.x,
(size_t) offset.y,0,(ssize_t) image->rows-offset.y,offset.x,0,
exception);
(void) SetImageProgress(image,RollImageTag,1,3);
status&=CopyImageRegion(roll_image,image,(size_t) offset.x,image->rows-
offset.y,(ssize_t) image->columns-offset.x,0,0,offset.y,exception);
(void) SetImageProgress(image,RollImageTag,2,3);
status&=CopyImageRegion(roll_image,image,image->columns-offset.x,image->rows-
offset.y,0,0,offset.x,offset.y,exception);
(void) SetImageProgress(image,RollImageTag,3,3);
roll_image->type=image->type;
if (status == MagickFalse)
roll_image=DestroyImage(roll_image);
return(roll_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S h a v e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ShaveImage() shaves pixels from the image edges. It allocates the memory
% necessary for the new Image structure and returns a pointer to the new
% image.
%
% The format of the ShaveImage method is:
%
% Image *ShaveImage(const Image *image,const RectangleInfo *shave_info,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o shave_image: Method ShaveImage returns a pointer to the shaved
% image. A null image is returned if there is a memory shortage or
% if the image width or height is zero.
%
% o image: the image.
%
% o shave_info: Specifies a pointer to a RectangleInfo which defines the
% region of the image to crop.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *ShaveImage(const Image *image,
const RectangleInfo *shave_info,ExceptionInfo *exception)
{
Image
*shave_image;
RectangleInfo
geometry;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
if (((2*shave_info->width) >= image->columns) ||
((2*shave_info->height) >= image->rows))
ThrowImageException(OptionWarning,"GeometryDoesNotContainImage");
SetGeometry(image,&geometry);
geometry.width-=2*shave_info->width;
geometry.height-=2*shave_info->height;
geometry.x=(ssize_t) shave_info->width+image->page.x;
geometry.y=(ssize_t) shave_info->height+image->page.y;
shave_image=CropImage(image,&geometry,exception);
if (shave_image == (Image *) NULL)
return((Image *) NULL);
shave_image->page.width-=2*shave_info->width;
shave_image->page.height-=2*shave_info->height;
shave_image->page.x-=(ssize_t) shave_info->width;
shave_image->page.y-=(ssize_t) shave_info->height;
return(shave_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S p l i c e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SpliceImage() splices a solid color into the image as defined by the
% geometry.
%
% The format of the SpliceImage method is:
%
% Image *SpliceImage(const 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 splice with members
% x, y, width, and height.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SpliceImage(const Image *image,
const RectangleInfo *geometry,ExceptionInfo *exception)
{
#define SpliceImageTag "Splice/Image"
CacheView
*image_view,
*splice_view;
Image
*splice_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
splice_geometry;
ssize_t
columns,
y;
/*
Allocate splice image.
*/
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);
splice_geometry=(*geometry);
splice_image=CloneImage(image,image->columns+splice_geometry.width,
image->rows+splice_geometry.height,MagickTrue,exception);
if (splice_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(splice_image,DirectClass,exception) == MagickFalse)
{
splice_image=DestroyImage(splice_image);
return((Image *) NULL);
}
if ((IsPixelInfoGray(&splice_image->background_color) == MagickFalse) &&
(IsGrayColorspace(splice_image->colorspace) != MagickFalse))
(void) SetImageColorspace(splice_image,sRGBColorspace,exception);
if ((splice_image->background_color.alpha_trait != UndefinedPixelTrait) &&
(splice_image->alpha_trait == UndefinedPixelTrait))
(void) SetImageAlpha(splice_image,OpaqueAlpha,exception);
(void) SetImageBackgroundColor(splice_image,exception);
/*
Respect image geometry.
*/
switch (image->gravity)
{
default:
case UndefinedGravity:
case NorthWestGravity:
break;
case NorthGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width/2;
break;
}
case NorthEastGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width;
break;
}
case WestGravity:
{
splice_geometry.y+=(ssize_t) splice_geometry.width/2;
break;
}
case CenterGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width/2;
splice_geometry.y+=(ssize_t) splice_geometry.height/2;
break;
}
case EastGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width;
splice_geometry.y+=(ssize_t) splice_geometry.height/2;
break;
}
case SouthWestGravity:
{
splice_geometry.y+=(ssize_t) splice_geometry.height;
break;
}
case SouthGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width/2;
splice_geometry.y+=(ssize_t) splice_geometry.height;
break;
}
case SouthEastGravity:
{
splice_geometry.x+=(ssize_t) splice_geometry.width;
splice_geometry.y+=(ssize_t) splice_geometry.height;
break;
}
}
/*
Splice image.
*/
status=MagickTrue;
progress=0;
columns=MagickMin(splice_geometry.x,(ssize_t) splice_image->columns);
image_view=AcquireVirtualCacheView(image,exception);
splice_view=AcquireAuthenticCacheView(splice_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,splice_image,1,1)
#endif
for (y=0; y < (ssize_t) splice_geometry.y; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,splice_image->columns,1,
exception);
q=QueueCacheViewAuthenticPixels(splice_view,0,y,splice_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,p) == 0)
{
SetPixelBackgoundColor(splice_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait splice_traits=GetPixelChannelTraits(splice_image,channel);
if ((traits == UndefinedPixelTrait) ||
(splice_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(splice_image,channel,p[i],q);
}
SetPixelRed(splice_image,GetPixelRed(image,p),q);
SetPixelGreen(splice_image,GetPixelGreen(image,p),q);
SetPixelBlue(splice_image,GetPixelBlue(image,p),q);
SetPixelAlpha(splice_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
}
for ( ; x < (ssize_t) (splice_geometry.x+splice_geometry.width); x++)
q+=GetPixelChannels(splice_image);
for ( ; x < (ssize_t) splice_image->columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,p) == 0)
{
SetPixelBackgoundColor(splice_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait splice_traits=GetPixelChannelTraits(splice_image,channel);
if ((traits == UndefinedPixelTrait) ||
(splice_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(splice_image,channel,p[i],q);
}
SetPixelRed(splice_image,GetPixelRed(image,p),q);
SetPixelGreen(splice_image,GetPixelGreen(image,p),q);
SetPixelBlue(splice_image,GetPixelBlue(image,p),q);
SetPixelAlpha(splice_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
}
if (SyncCacheViewAuthenticPixels(splice_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_TransposeImage)
#endif
proceed=SetImageProgress(image,SpliceImageTag,progress++,
splice_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,splice_image,1,1)
#endif
for (y=(ssize_t) (splice_geometry.y+splice_geometry.height);
y < (ssize_t) splice_image->rows; y++)
{
register const Quantum
*magick_restrict p;
register ssize_t
x;
register Quantum
*magick_restrict q;
if (status == MagickFalse)
continue;
if ((y < 0) || (y >= (ssize_t)splice_image->rows))
continue;
p=GetCacheViewVirtualPixels(image_view,0,y-(ssize_t) splice_geometry.height,
splice_image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(splice_view,0,y,splice_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,q) == 0)
{
SetPixelBackgoundColor(splice_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait splice_traits=GetPixelChannelTraits(splice_image,channel);
if ((traits == UndefinedPixelTrait) ||
(splice_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(splice_image,channel,p[i],q);
}
SetPixelRed(splice_image,GetPixelRed(image,p),q);
SetPixelGreen(splice_image,GetPixelGreen(image,p),q);
SetPixelBlue(splice_image,GetPixelBlue(image,p),q);
SetPixelAlpha(splice_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
}
for ( ; x < (ssize_t) (splice_geometry.x+splice_geometry.width); x++)
q+=GetPixelChannels(splice_image);
for ( ; x < (ssize_t) splice_image->columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,q) == 0)
{
SetPixelBackgoundColor(splice_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait splice_traits=GetPixelChannelTraits(splice_image,channel);
if ((traits == UndefinedPixelTrait) ||
(splice_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(splice_image,channel,p[i],q);
}
SetPixelRed(splice_image,GetPixelRed(image,p),q);
SetPixelGreen(splice_image,GetPixelGreen(image,p),q);
SetPixelBlue(splice_image,GetPixelBlue(image,p),q);
SetPixelAlpha(splice_image,GetPixelAlpha(image,p),q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(splice_image);
}
if (SyncCacheViewAuthenticPixels(splice_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_TransposeImage)
#endif
proceed=SetImageProgress(image,SpliceImageTag,progress++,
splice_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
splice_view=DestroyCacheView(splice_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
splice_image=DestroyImage(splice_image);
return(splice_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s f o r m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransformImage() is a convenience method that behaves like ResizeImage() or
% CropImage() but accepts scaling and/or cropping information as a region
% geometry specification. If the operation fails, the original image handle
% is left as is.
%
% This should only be used for single images.
%
% This function destroys what it assumes to be a single image list.
% If the input image is part of a larger list, all other images in that list
% will be simply 'lost', not destroyed.
%
% Also if the crop generates a list of images only the first image is resized.
% And finally if the crop succeeds and the resize failed, you will get a
% cropped image, as well as a 'false' or 'failed' report.
%
% This function and should probably be deprecated in favor of direct calls
% to CropImageToTiles() or ResizeImage(), as appropriate.
%
% The format of the TransformImage method is:
%
% MagickBooleanType TransformImage(Image **image,const char *crop_geometry,
% const char *image_geometry,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image The transformed image is returned as this parameter.
%
% o crop_geometry: A crop geometry string. This geometry defines a
% subregion of the image to crop.
%
% o image_geometry: An image geometry string. This geometry defines the
% final size of the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickPrivate MagickBooleanType TransformImage(Image **image,
const char *crop_geometry,const char *image_geometry,ExceptionInfo *exception)
{
Image
*resize_image,
*transform_image;
RectangleInfo
geometry;
assert(image != (Image **) NULL);
assert((*image)->signature == MagickCoreSignature);
if ((*image)->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",(*image)->filename);
transform_image=(*image);
if (crop_geometry != (const char *) NULL)
{
Image
*crop_image;
/*
Crop image to a user specified size.
*/
crop_image=CropImageToTiles(*image,crop_geometry,exception);
if (crop_image == (Image *) NULL)
transform_image=CloneImage(*image,0,0,MagickTrue,exception);
else
{
transform_image=DestroyImage(transform_image);
transform_image=GetFirstImageInList(crop_image);
}
*image=transform_image;
}
if (image_geometry == (const char *) NULL)
return(MagickTrue);
/*
Scale image to a user specified size.
*/
(void) ParseRegionGeometry(transform_image,image_geometry,&geometry,exception);
if ((transform_image->columns == geometry.width) &&
(transform_image->rows == geometry.height))
return(MagickTrue);
resize_image=ResizeImage(transform_image,geometry.width,geometry.height,
transform_image->filter,exception);
if (resize_image == (Image *) NULL)
return(MagickFalse);
transform_image=DestroyImage(transform_image);
transform_image=resize_image;
*image=transform_image;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s p o s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransposeImage() creates a horizontal mirror image by reflecting the pixels
% around the central y-axis while rotating them by 90 degrees.
%
% The format of the TransposeImage method is:
%
% Image *TransposeImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *TransposeImage(const Image *image,ExceptionInfo *exception)
{
#define TransposeImageTag "Transpose/Image"
CacheView
*image_view,
*transpose_view;
Image
*transpose_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
page;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
transpose_image=CloneImage(image,image->rows,image->columns,MagickTrue,
exception);
if (transpose_image == (Image *) NULL)
return((Image *) NULL);
/*
Transpose image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
transpose_view=AcquireAuthenticCacheView(transpose_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,transpose_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,(ssize_t) image->rows-y-1,
image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(transpose_view,(ssize_t) (image->rows-y-1),
0,1,transpose_image->rows,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
if (GetPixelWriteMask(image,q) == 0)
{
SetPixelBackgoundColor(transpose_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(transpose_image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait transpose_traits=GetPixelChannelTraits(transpose_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(transpose_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(transpose_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(transpose_image);
}
if (SyncCacheViewAuthenticPixels(transpose_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_TransposeImage)
#endif
proceed=SetImageProgress(image,TransposeImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
transpose_view=DestroyCacheView(transpose_view);
image_view=DestroyCacheView(image_view);
transpose_image->type=image->type;
page=transpose_image->page;
Swap(page.width,page.height);
Swap(page.x,page.y);
transpose_image->page=page;
if (status == MagickFalse)
transpose_image=DestroyImage(transpose_image);
return(transpose_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r a n s v e r s e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TransverseImage() creates a vertical mirror image by reflecting the pixels
% around the central x-axis while rotating them by 270 degrees.
%
% The format of the TransverseImage method is:
%
% Image *TransverseImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *TransverseImage(const Image *image,ExceptionInfo *exception)
{
#define TransverseImageTag "Transverse/Image"
CacheView
*image_view,
*transverse_view;
Image
*transverse_image;
MagickBooleanType
status;
MagickOffsetType
progress;
RectangleInfo
page;
ssize_t
y;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
transverse_image=CloneImage(image,image->rows,image->columns,MagickTrue,
exception);
if (transverse_image == (Image *) NULL)
return((Image *) NULL);
/*
Transverse image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
transverse_view=AcquireAuthenticCacheView(transverse_image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(progress,status) \
magick_threads(image,transverse_image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
MagickBooleanType
sync;
register const Quantum
*magick_restrict p;
register Quantum
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(transverse_view,(ssize_t) (image->rows-y-1),
0,1,transverse_image->rows,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
q+=GetPixelChannels(transverse_image)*image->columns;
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
q-=GetPixelChannels(transverse_image);
if (GetPixelWriteMask(image,p) == 0)
{
p+=GetPixelChannels(image);
continue;
}
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
PixelTrait transverse_traits=GetPixelChannelTraits(transverse_image,
channel);
if ((traits == UndefinedPixelTrait) ||
(transverse_traits == UndefinedPixelTrait))
continue;
SetPixelChannel(transverse_image,channel,p[i],q);
}
p+=GetPixelChannels(image);
}
sync=SyncCacheViewAuthenticPixels(transverse_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_TransverseImage)
#endif
proceed=SetImageProgress(image,TransverseImageTag,progress++,
image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
transverse_view=DestroyCacheView(transverse_view);
image_view=DestroyCacheView(image_view);
transverse_image->type=image->type;
page=transverse_image->page;
Swap(page.width,page.height);
Swap(page.x,page.y);
if (page.width != 0)
page.x=(ssize_t) (page.width-transverse_image->columns-page.x);
if (page.height != 0)
page.y=(ssize_t) (page.height-transverse_image->rows-page.y);
transverse_image->page=page;
if (status == MagickFalse)
transverse_image=DestroyImage(transverse_image);
return(transverse_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% T r i m I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% TrimImage() trims pixels from the image edges. It allocates the memory
% necessary for the new Image structure and returns a pointer to the new
% image.
%
% The format of the TrimImage method is:
%
% Image *TrimImage(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *TrimImage(const Image *image,ExceptionInfo *exception)
{
RectangleInfo
geometry;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
geometry=GetImageBoundingBox(image,exception);
if ((geometry.width == 0) || (geometry.height == 0))
{
Image
*crop_image;
crop_image=CloneImage(image,1,1,MagickTrue,exception);
if (crop_image == (Image *) NULL)
return((Image *) NULL);
crop_image->background_color.alpha=(Quantum) TransparentAlpha;
crop_image->alpha_trait=BlendPixelTrait;
(void) SetImageBackgroundColor(crop_image,exception);
crop_image->page=image->page;
crop_image->page.x=(-1);
crop_image->page.y=(-1);
return(crop_image);
}
geometry.x+=image->page.x;
geometry.y+=image->page.y;
return(CropImage(image,&geometry,exception));
}
|
tinybert_test.h | // Copyright (C) 2019. Huawei Technologies Co., Ltd. All rights reserved.
// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE
// WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
// COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#ifndef _H_TINYBERT_TEST
#define _H_TINYBERT_TEST
#ifdef _USE_OPENMP
#include <omp.h>
#endif
#include "inference.hpp"
#include "data_loader.hpp"
#include "profiling.h"
#include "parse_command.h"
static std::string tinybertTestKernel(U32 sequenceIndex,
std::vector<Tensor> sequence,
std::shared_ptr<CNN> pipeline,
std::vector<std::vector<Tensor>> intents,
std::vector<std::vector<Tensor>> slots,
int *falseIntent,
int *falseSlot,
const char **inputNames,
const char **outputNames,
bool useGPU)
{
std::map<std::string, TensorDesc> inputDescMap;
inputDescMap[inputNames[0]] = sequence[0].get_desc();
inputDescMap[inputNames[1]] = sequence[1].get_desc();
inputDescMap[inputNames[2]] = sequence[2].get_desc();
pipeline->reready(inputDescMap);
std::map<std::string, std::shared_ptr<U8>> inputs;
inputs[inputNames[0]] = ((CpuMemory *)sequence[0].get_memory())->get_shared_ptr();
inputs[inputNames[1]] = ((CpuMemory *)sequence[1].get_memory())->get_shared_ptr();
inputs[inputNames[2]] = ((CpuMemory *)sequence[2].get_memory())->get_shared_ptr();
pipeline->set_input_by_assign(inputs);
pipeline->run();
Tensor intentSoftmax = pipeline->get_tensor_by_name(outputNames[0]);
U32 intentNum = intentSoftmax.length();
U32 intentMaxIndex = 0;
#ifdef _USE_GPU
if (useGPU) {
auto mem = (OclMemory *)intentSoftmax.get_memory();
mem->get_mapped_ptr();
}
#endif
for (U32 index = 1; index < intentNum; index++) {
if (intentSoftmax.element(index) > intentSoftmax.element(intentMaxIndex)) {
intentMaxIndex = index;
}
}
std::string log = std::string(" intent: ") + std::to_string(intentMaxIndex) + std::string(" ") +
std::to_string(intentSoftmax.element(intentMaxIndex));
if (intents.size() > 0) {
F32 *intentResult =
(F32 *)((CpuMemory *)(intents[sequenceIndex][0].get_memory()))->get_ptr();
if (intentMaxIndex != intentResult[0] ||
abs(intentSoftmax.element(intentMaxIndex) - intentResult[1]) > 0.1) {
(*falseIntent)++;
}
}
Tensor slotSoftmax = pipeline->get_tensor_by_name(outputNames[1]);
auto slotDesc = slotSoftmax.get_desc();
U32 slotNum = slotDesc.dims[1];
U32 slotRange = slotDesc.dims[0];
#ifdef _USE_GPU
if (useGPU) {
auto mem = (OclMemory *)slotSoftmax.get_memory();
mem->get_mapped_ptr();
}
#endif
std::vector<U32> slotSoftmaxResult;
log += std::string(" slot: ");
for (U32 i = 0; i < slotNum; i++) {
U32 slotMaxIndex = 0;
for (U32 index = 1; index < slotRange; index++) {
if (slotSoftmax.element(i * slotRange + index) >
slotSoftmax.element(i * slotRange + slotMaxIndex)) {
slotMaxIndex = index;
}
}
slotSoftmaxResult.push_back(slotMaxIndex);
log += std::to_string(slotMaxIndex) + std::string(" ");
}
if (slots.size() > sequenceIndex) {
U32 *slotResult = (U32 *)((CpuMemory *)(slots[sequenceIndex][0].get_memory()))->get_ptr();
for (U32 i = 0; i < slotSoftmaxResult.size(); i++) {
if (slotSoftmaxResult.size() != slots[sequenceIndex][0].get_desc().dims[0] ||
slotResult[i] != slotSoftmaxResult[i]) {
(*falseSlot)++;
break;
}
}
}
return log;
}
inline void tinybertTest(int argc,
char **argv,
const char **inputNames,
const char **outputNames,
F32 *intentRate,
F32 *slotRate)
{
UNI_TIME_INIT
ParseRes parse_res;
parseCommandLine(argc, argv, &parse_res, "examples");
char *modelPath = (char *)"";
char *sequenceDirectory = (char *)"";
char *affinityPolicyName = (char *)"";
char *algorithmMapPath = (char *)"";
int loopTime = 1;
if (!parse_res.model.second) {
exit(-1);
}
if (parse_res.model.second) {
modelPath = parse_res.model.first;
}
if (parse_res.inputPath.second) {
sequenceDirectory = parse_res.inputPath.first;
}
if (parse_res.archInfo.second) {
affinityPolicyName = parse_res.archInfo.first;
}
if (parse_res.algoPath.second) {
algorithmMapPath = parse_res.algoPath.first;
}
if (parse_res.loopTime.second) {
loopTime = parse_res.loopTime.first;
}
bool useGPU = (strcmp(affinityPolicyName, "GPU") == 0) ? true : false;
std::shared_ptr<CNN> pipelineBase;
UNI_PROFILE(pipelineBase = createPipeline(affinityPolicyName, modelPath, algorithmMapPath),
std::string("bolt::prepare"), std::string("prepare"));
// load sequences
std::map<std::string, std::shared_ptr<Tensor>> inMap = pipelineBase->get_input();
std::vector<TensorDesc> sequenceDescs;
TensorDesc wordInputDesc = (*(inMap[inputNames[0]])).get_desc();
wordInputDesc.dt = DT_U32;
sequenceDescs.push_back(wordInputDesc);
TensorDesc positionInputDesc = (*(inMap[inputNames[1]])).get_desc();
positionInputDesc.dt = DT_U32;
sequenceDescs.push_back(positionInputDesc);
TensorDesc tokenTypeInputDesc = (*(inMap[inputNames[2]])).get_desc();
tokenTypeInputDesc.dt = DT_U32;
sequenceDescs.push_back(tokenTypeInputDesc);
std::vector<std::vector<Tensor>> sequences, intents, slots;
std::vector<std::string> sequencePaths =
load_data(sequenceDirectory + std::string("/input"), sequenceDescs, &sequences);
// load result
std::vector<TensorDesc> intentDescs;
TensorDesc intentDesc = tensor1d(DT_F32, 2);
intentDescs.push_back(intentDesc);
std::vector<std::string> intentPaths =
load_data(sequenceDirectory + std::string("/intent"), intentDescs, &intents);
std::vector<TensorDesc> slotDescs;
slotDescs.push_back(wordInputDesc);
std::vector<std::string> slotPaths =
load_data(sequenceDirectory + std::string("/slot"), slotDescs, &slots);
int falseIntent = 0;
int falseSlot = 0;
#ifdef _USE_OPENMP
double timeBegin = ut_time_ms();
#pragma omp parallel num_threads(OMP_NUM_THREADS)
{
if (useGPU) {
UNI_ERROR_LOG("GPU mode has not support OpenMP for tinybert\n");
exit(1);
}
std::shared_ptr<CNN> pipeline = std::shared_ptr<CNN>(new CNN());
int threadId = omp_get_thread_num();
UNI_PROFILE(*pipeline = pipelineBase->clone(),
std::string("bolt::clone-") + std::to_string(threadId), std::string("clone"));
pipeline->set_runtime_device(threadId, threadId);
#pragma omp for
for (U32 sequenceIndex = 0; sequenceIndex < sequences.size(); sequenceIndex++) {
std::string log = sequencePaths[sequenceIndex] + ":" +
tinybertTestKernel(sequenceIndex, sequences[sequenceIndex], pipeline, intents,
slots, &falseIntent, &falseSlot, inputNames, outputNames, useGPU);
UNI_INFO_LOG("%s\n", log.c_str());
}
}
#else
#ifdef _USE_GPU
/*warp up*/
if (useGPU) {
pipelineBase->run();
}
#endif
double timeBegin = ut_time_ms();
for (int i = 0; i < loopTime; ++i) {
for (U32 sequenceIndex = 0; sequenceIndex < sequences.size(); sequenceIndex++) {
std::string log = sequencePaths[sequenceIndex] + ":" +
tinybertTestKernel(sequenceIndex, sequences[sequenceIndex], pipelineBase, intents,
slots, &falseIntent, &falseSlot, inputNames, outputNames, useGPU);
UNI_INFO_LOG("%s\n", log.c_str());
}
}
#endif
double timeEnd = ut_time_ms();
pipelineBase->saveAlgorithmMapToFile(algorithmMapPath);
double totalTime = (timeEnd - timeBegin) / loopTime;
UNI_TIME_STATISTICS
U32 validSequence = UNI_MAX(1, sequences.size());
*intentRate = 100.0 * (validSequence - falseIntent) / validSequence;
*slotRate = 100.0 * (validSequence - falseSlot) / validSequence;
UNI_CI_LOG("intent correct rate: %f %%\n", *intentRate);
UNI_CI_LOG("slot correct rate: %f %%\n", *slotRate);
UNI_CI_LOG("avg_time:%fms/sequence\n", 1.0 * totalTime / validSequence);
}
#endif // _H_TINYBERT_TEST
|
task.c | /* Copyright (C) 2007-2018 Free Software Foundation, Inc.
Contributed by Richard Henderson <rth@redhat.com>.
This file is part of the GNU Offloading and Multi Processing Library
(libgomp).
Libgomp is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 3, or (at your option)
any later version.
Libgomp is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the GNU General Public License for
more details.
Under Section 7 of GPL version 3, you are granted additional
permissions described in the GCC Runtime Library Exception, version
3.1, as published by the Free Software Foundation.
You should have received a copy of the GNU General Public License and
a copy of the GCC Runtime Library Exception along with this program;
see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
<http://www.gnu.org/licenses/>. */
/* This file handles the maintainence of tasks in response to task
creation and termination. */
#include "libgomp.h"
#include <stdlib.h>
#include <string.h>
#include "gomp-constants.h"
typedef struct gomp_task_depend_entry *hash_entry_type;
static inline void *
htab_alloc (size_t size)
{
return gomp_malloc (size);
}
static inline void
htab_free (void *ptr)
{
free (ptr);
}
#include "hashtab.h"
static inline hashval_t
htab_hash (hash_entry_type element)
{
return hash_pointer (element->addr);
}
static inline bool
htab_eq (hash_entry_type x, hash_entry_type y)
{
return x->addr == y->addr;
}
/* Create a new task data structure. */
void
gomp_init_task (struct gomp_task *task, struct gomp_task *parent_task,
struct gomp_task_icv *prev_icv)
{
/* It would seem that using memset here would be a win, but it turns
out that partially filling gomp_task allows us to keep the
overhead of task creation low. In the nqueens-1.c test, for a
sufficiently large N, we drop the overhead from 5-6% to 1%.
Note, the nqueens-1.c test in serial mode is a good test to
benchmark the overhead of creating tasks as there are millions of
tiny tasks created that all run undeferred. */
task->parent = parent_task;
task->icv = *prev_icv;
task->kind = GOMP_TASK_IMPLICIT;
task->taskwait = NULL;
task->in_tied_task = false;
task->final_task = false;
task->copy_ctors_done = false;
task->parent_depends_on = false;
priority_queue_init (&task->children_queue);
task->taskgroup = NULL;
task->dependers = NULL;
task->depend_hash = NULL;
task->depend_count = 0;
}
/* Clean up a task, after completing it. */
void
gomp_end_task (void)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_task *task = thr->task;
gomp_finish_task (task);
thr->task = task->parent;
}
/* Clear the parent field of every task in LIST. */
static inline void
gomp_clear_parent_in_list (struct priority_list *list)
{
struct priority_node *p = list->tasks;
if (p)
do
{
priority_node_to_task (PQ_CHILDREN, p)->parent = NULL;
p = p->next;
}
while (p != list->tasks);
}
/* Splay tree version of gomp_clear_parent_in_list.
Clear the parent field of every task in NODE within SP, and free
the node when done. */
static void
gomp_clear_parent_in_tree (prio_splay_tree sp, prio_splay_tree_node node)
{
if (!node)
return;
prio_splay_tree_node left = node->left, right = node->right;
gomp_clear_parent_in_list (&node->key.l);
#if _LIBGOMP_CHECKING_
memset (node, 0xaf, sizeof (*node));
#endif
/* No need to remove the node from the tree. We're nuking
everything, so just free the nodes and our caller can clear the
entire splay tree. */
free (node);
gomp_clear_parent_in_tree (sp, left);
gomp_clear_parent_in_tree (sp, right);
}
/* Clear the parent field of every task in Q and remove every task
from Q. */
static inline void
gomp_clear_parent (struct priority_queue *q)
{
if (priority_queue_multi_p (q))
{
gomp_clear_parent_in_tree (&q->t, q->t.root);
/* All the nodes have been cleared in gomp_clear_parent_in_tree.
No need to remove anything. We can just nuke everything. */
q->t.root = NULL;
}
else
gomp_clear_parent_in_list (&q->l);
}
/* Helper function for GOMP_task and gomp_create_target_task.
For a TASK with in/out dependencies, fill in the various dependency
queues. PARENT is the parent of said task. DEPEND is as in
GOMP_task. */
static void
gomp_task_handle_depend (struct gomp_task *task, struct gomp_task *parent,
void **depend)
{
size_t ndepend = (uintptr_t) depend[0];
size_t nout = (uintptr_t) depend[1];
size_t i;
hash_entry_type ent;
task->depend_count = ndepend;
task->num_dependees = 0;
if (parent->depend_hash == NULL)
parent->depend_hash = htab_create (2 * ndepend > 12 ? 2 * ndepend : 12);
for (i = 0; i < ndepend; i++)
{
task->depend[i].addr = depend[2 + i];
task->depend[i].next = NULL;
task->depend[i].prev = NULL;
task->depend[i].task = task;
task->depend[i].is_in = i >= nout;
task->depend[i].redundant = false;
task->depend[i].redundant_out = false;
hash_entry_type *slot = htab_find_slot (&parent->depend_hash,
&task->depend[i], INSERT);
hash_entry_type out = NULL, last = NULL;
if (*slot)
{
/* If multiple depends on the same task are the same, all but the
first one are redundant. As inout/out come first, if any of them
is inout/out, it will win, which is the right semantics. */
if ((*slot)->task == task)
{
task->depend[i].redundant = true;
continue;
}
for (ent = *slot; ent; ent = ent->next)
{
if (ent->redundant_out)
break;
last = ent;
/* depend(in:...) doesn't depend on earlier depend(in:...). */
if (i >= nout && ent->is_in)
continue;
if (!ent->is_in)
out = ent;
struct gomp_task *tsk = ent->task;
if (tsk->dependers == NULL)
{
tsk->dependers
= gomp_malloc (sizeof (struct gomp_dependers_vec)
+ 6 * sizeof (struct gomp_task *));
tsk->dependers->n_elem = 1;
tsk->dependers->allocated = 6;
tsk->dependers->elem[0] = task;
task->num_dependees++;
continue;
}
/* We already have some other dependency on tsk from earlier
depend clause. */
else if (tsk->dependers->n_elem
&& (tsk->dependers->elem[tsk->dependers->n_elem - 1]
== task))
continue;
else if (tsk->dependers->n_elem == tsk->dependers->allocated)
{
tsk->dependers->allocated
= tsk->dependers->allocated * 2 + 2;
tsk->dependers
= gomp_realloc (tsk->dependers,
sizeof (struct gomp_dependers_vec)
+ (tsk->dependers->allocated
* sizeof (struct gomp_task *)));
}
tsk->dependers->elem[tsk->dependers->n_elem++] = task;
task->num_dependees++;
}
task->depend[i].next = *slot;
(*slot)->prev = &task->depend[i];
}
*slot = &task->depend[i];
/* There is no need to store more than one depend({,in}out:) task per
address in the hash table chain for the purpose of creation of
deferred tasks, because each out depends on all earlier outs, thus it
is enough to record just the last depend({,in}out:). For depend(in:),
we need to keep all of the previous ones not terminated yet, because
a later depend({,in}out:) might need to depend on all of them. So, if
the new task's clause is depend({,in}out:), we know there is at most
one other depend({,in}out:) clause in the list (out). For
non-deferred tasks we want to see all outs, so they are moved to the
end of the chain, after first redundant_out entry all following
entries should be redundant_out. */
if (!task->depend[i].is_in && out)
{
if (out != last)
{
out->next->prev = out->prev;
out->prev->next = out->next;
out->next = last->next;
out->prev = last;
last->next = out;
if (out->next)
out->next->prev = out;
}
out->redundant_out = true;
}
}
}
/* Called when encountering an explicit task directive. If IF_CLAUSE is
false, then we must not delay in executing the task. If UNTIED is true,
then the task may be executed by any member of the team.
DEPEND is an array containing:
depend[0]: number of depend elements.
depend[1]: number of depend elements of type "out".
depend[2..N+1]: address of [1..N]th depend element. */
void
GOMP_task (void (*fn) (void *), void *data, void (*cpyfn) (void *, void *),
long arg_size, long arg_align, bool if_clause, unsigned flags,
void **depend, int priority)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
#ifdef HAVE_BROKEN_POSIX_SEMAPHORES
/* If pthread_mutex_* is used for omp_*lock*, then each task must be
tied to one thread all the time. This means UNTIED tasks must be
tied and if CPYFN is non-NULL IF(0) must be forced, as CPYFN
might be running on different thread than FN. */
if (cpyfn)
if_clause = false;
flags &= ~GOMP_TASK_FLAG_UNTIED;
#endif
/* If parallel or taskgroup has been cancelled, don't start new tasks. */
if (team
&& (gomp_team_barrier_cancelled (&team->barrier)
|| (thr->task->taskgroup && thr->task->taskgroup->cancelled)))
return;
if ((flags & GOMP_TASK_FLAG_PRIORITY) == 0)
priority = 0;
else if (priority > gomp_max_task_priority_var)
priority = gomp_max_task_priority_var;
if (!if_clause || team == NULL
|| (thr->task && thr->task->final_task)
|| team->task_count > 64 * team->nthreads)
{
struct gomp_task task;
/* If there are depend clauses and earlier deferred sibling tasks
with depend clauses, check if there isn't a dependency. If there
is, we need to wait for them. There is no need to handle
depend clauses for non-deferred tasks other than this, because
the parent task is suspended until the child task finishes and thus
it can't start further child tasks. */
if ((flags & GOMP_TASK_FLAG_DEPEND)
&& thr->task && thr->task->depend_hash)
gomp_task_maybe_wait_for_dependencies (depend);
gomp_init_task (&task, thr->task, gomp_icv (false));
task.kind = GOMP_TASK_UNDEFERRED;
task.final_task = (thr->task && thr->task->final_task)
|| (flags & GOMP_TASK_FLAG_FINAL);
task.priority = priority;
if (thr->task)
{
task.in_tied_task = thr->task->in_tied_task;
task.taskgroup = thr->task->taskgroup;
}
thr->task = &task;
if (__builtin_expect (cpyfn != NULL, 0))
{
char buf[arg_size + arg_align - 1];
char *arg = (char *) (((uintptr_t) buf + arg_align - 1)
& ~(uintptr_t) (arg_align - 1));
cpyfn (arg, data);
fn (arg);
}
else
fn (data);
/* Access to "children" is normally done inside a task_lock
mutex region, but the only way this particular task.children
can be set is if this thread's task work function (fn)
creates children. So since the setter is *this* thread, we
need no barriers here when testing for non-NULL. We can have
task.children set by the current thread then changed by a
child thread, but seeing a stale non-NULL value is not a
problem. Once past the task_lock acquisition, this thread
will see the real value of task.children. */
if (!priority_queue_empty_p (&task.children_queue, MEMMODEL_RELAXED))
{
gomp_mutex_lock (&team->task_lock);
gomp_clear_parent (&task.children_queue);
gomp_mutex_unlock (&team->task_lock);
}
gomp_end_task ();
}
else
{
struct gomp_task *task;
struct gomp_task *parent = thr->task;
struct gomp_taskgroup *taskgroup = parent->taskgroup;
char *arg;
bool do_wake;
size_t depend_size = 0;
if (flags & GOMP_TASK_FLAG_DEPEND)
depend_size = ((uintptr_t) depend[0]
* sizeof (struct gomp_task_depend_entry));
task = gomp_malloc (sizeof (*task) + depend_size
+ arg_size + arg_align - 1);
arg = (char *) (((uintptr_t) (task + 1) + depend_size + arg_align - 1)
& ~(uintptr_t) (arg_align - 1));
gomp_init_task (task, parent, gomp_icv (false));
task->priority = priority;
task->kind = GOMP_TASK_UNDEFERRED;
task->in_tied_task = parent->in_tied_task;
task->taskgroup = taskgroup;
thr->task = task;
if (cpyfn)
{
cpyfn (arg, data);
task->copy_ctors_done = true;
}
else
memcpy (arg, data, arg_size);
thr->task = parent;
task->kind = GOMP_TASK_WAITING;
task->fn = fn;
task->fn_data = arg;
task->final_task = (flags & GOMP_TASK_FLAG_FINAL) >> 1;
gomp_mutex_lock (&team->task_lock);
/* If parallel or taskgroup has been cancelled, don't start new
tasks. */
if (__builtin_expect ((gomp_team_barrier_cancelled (&team->barrier)
|| (taskgroup && taskgroup->cancelled))
&& !task->copy_ctors_done, 0))
{
gomp_mutex_unlock (&team->task_lock);
gomp_finish_task (task);
free (task);
return;
}
if (taskgroup)
taskgroup->num_children++;
if (depend_size)
{
gomp_task_handle_depend (task, parent, depend);
if (task->num_dependees)
{
/* Tasks that depend on other tasks are not put into the
various waiting queues, so we are done for now. Said
tasks are instead put into the queues via
gomp_task_run_post_handle_dependers() after their
dependencies have been satisfied. After which, they
can be picked up by the various scheduling
points. */
gomp_mutex_unlock (&team->task_lock);
return;
}
}
priority_queue_insert (PQ_CHILDREN, &parent->children_queue,
task, priority,
PRIORITY_INSERT_BEGIN,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
if (taskgroup)
priority_queue_insert (PQ_TASKGROUP, &taskgroup->taskgroup_queue,
task, priority,
PRIORITY_INSERT_BEGIN,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
priority_queue_insert (PQ_TEAM, &team->task_queue,
task, priority,
PRIORITY_INSERT_END,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
++team->task_count;
++team->task_queued_count;
gomp_team_barrier_set_task_pending (&team->barrier);
do_wake = team->task_running_count + !parent->in_tied_task
< team->nthreads;
gomp_mutex_unlock (&team->task_lock);
if (do_wake)
gomp_team_barrier_wake (&team->barrier, 1);
}
}
ialias (GOMP_taskgroup_start)
ialias (GOMP_taskgroup_end)
#define TYPE long
#define UTYPE unsigned long
#define TYPE_is_long 1
#include "taskloop.c"
#undef TYPE
#undef UTYPE
#undef TYPE_is_long
#define TYPE unsigned long long
#define UTYPE TYPE
#define GOMP_taskloop GOMP_taskloop_ull
#include "taskloop.c"
#undef TYPE
#undef UTYPE
#undef GOMP_taskloop
static void inline
priority_queue_move_task_first (enum priority_queue_type type,
struct priority_queue *head,
struct gomp_task *task)
{
#if _LIBGOMP_CHECKING_
if (!priority_queue_task_in_queue_p (type, head, task))
gomp_fatal ("Attempt to move first missing task %p", task);
#endif
struct priority_list *list;
if (priority_queue_multi_p (head))
{
list = priority_queue_lookup_priority (head, task->priority);
#if _LIBGOMP_CHECKING_
if (!list)
gomp_fatal ("Unable to find priority %d", task->priority);
#endif
}
else
list = &head->l;
priority_list_remove (list, task_to_priority_node (type, task), 0);
priority_list_insert (type, list, task, task->priority,
PRIORITY_INSERT_BEGIN, type == PQ_CHILDREN,
task->parent_depends_on);
}
/* Actual body of GOMP_PLUGIN_target_task_completion that is executed
with team->task_lock held, or is executed in the thread that called
gomp_target_task_fn if GOMP_PLUGIN_target_task_completion has been
run before it acquires team->task_lock. */
static void
gomp_target_task_completion (struct gomp_team *team, struct gomp_task *task)
{
struct gomp_task *parent = task->parent;
if (parent)
priority_queue_move_task_first (PQ_CHILDREN, &parent->children_queue,
task);
struct gomp_taskgroup *taskgroup = task->taskgroup;
if (taskgroup)
priority_queue_move_task_first (PQ_TASKGROUP, &taskgroup->taskgroup_queue,
task);
priority_queue_insert (PQ_TEAM, &team->task_queue, task, task->priority,
PRIORITY_INSERT_BEGIN, false,
task->parent_depends_on);
task->kind = GOMP_TASK_WAITING;
if (parent && parent->taskwait)
{
if (parent->taskwait->in_taskwait)
{
/* One more task has had its dependencies met.
Inform any waiters. */
parent->taskwait->in_taskwait = false;
gomp_sem_post (&parent->taskwait->taskwait_sem);
}
else if (parent->taskwait->in_depend_wait)
{
/* One more task has had its dependencies met.
Inform any waiters. */
parent->taskwait->in_depend_wait = false;
gomp_sem_post (&parent->taskwait->taskwait_sem);
}
}
if (taskgroup && taskgroup->in_taskgroup_wait)
{
/* One more task has had its dependencies met.
Inform any waiters. */
taskgroup->in_taskgroup_wait = false;
gomp_sem_post (&taskgroup->taskgroup_sem);
}
++team->task_queued_count;
gomp_team_barrier_set_task_pending (&team->barrier);
/* I'm afraid this can't be done after releasing team->task_lock,
as gomp_target_task_completion is run from unrelated thread and
therefore in between gomp_mutex_unlock and gomp_team_barrier_wake
the team could be gone already. */
if (team->nthreads > team->task_running_count)
gomp_team_barrier_wake (&team->barrier, 1);
}
/* Signal that a target task TTASK has completed the asynchronously
running phase and should be requeued as a task to handle the
variable unmapping. */
void
GOMP_PLUGIN_target_task_completion (void *data)
{
struct gomp_target_task *ttask = (struct gomp_target_task *) data;
struct gomp_task *task = ttask->task;
struct gomp_team *team = ttask->team;
gomp_mutex_lock (&team->task_lock);
if (ttask->state == GOMP_TARGET_TASK_READY_TO_RUN)
{
ttask->state = GOMP_TARGET_TASK_FINISHED;
gomp_mutex_unlock (&team->task_lock);
return;
}
ttask->state = GOMP_TARGET_TASK_FINISHED;
gomp_target_task_completion (team, task);
gomp_mutex_unlock (&team->task_lock);
}
static void gomp_task_run_post_handle_depend_hash (struct gomp_task *);
/* Called for nowait target tasks. */
bool
gomp_create_target_task (struct gomp_device_descr *devicep,
void (*fn) (void *), size_t mapnum, void **hostaddrs,
size_t *sizes, unsigned short *kinds,
unsigned int flags, void **depend, void **args,
enum gomp_target_task_state state)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
/* If parallel or taskgroup has been cancelled, don't start new tasks. */
if (team
&& (gomp_team_barrier_cancelled (&team->barrier)
|| (thr->task->taskgroup && thr->task->taskgroup->cancelled)))
return true;
struct gomp_target_task *ttask;
struct gomp_task *task;
struct gomp_task *parent = thr->task;
struct gomp_taskgroup *taskgroup = parent->taskgroup;
bool do_wake;
size_t depend_size = 0;
uintptr_t depend_cnt = 0;
size_t tgt_align = 0, tgt_size = 0;
if (depend != NULL)
{
depend_cnt = (uintptr_t) depend[0];
depend_size = depend_cnt * sizeof (struct gomp_task_depend_entry);
}
if (fn)
{
/* GOMP_MAP_FIRSTPRIVATE need to be copied first, as they are
firstprivate on the target task. */
size_t i;
for (i = 0; i < mapnum; i++)
if ((kinds[i] & 0xff) == GOMP_MAP_FIRSTPRIVATE)
{
size_t align = (size_t) 1 << (kinds[i] >> 8);
if (tgt_align < align)
tgt_align = align;
tgt_size = (tgt_size + align - 1) & ~(align - 1);
tgt_size += sizes[i];
}
if (tgt_align)
tgt_size += tgt_align - 1;
else
tgt_size = 0;
}
task = gomp_malloc (sizeof (*task) + depend_size
+ sizeof (*ttask)
+ mapnum * (sizeof (void *) + sizeof (size_t)
+ sizeof (unsigned short))
+ tgt_size);
gomp_init_task (task, parent, gomp_icv (false));
task->priority = 0;
task->kind = GOMP_TASK_WAITING;
task->in_tied_task = parent->in_tied_task;
task->taskgroup = taskgroup;
ttask = (struct gomp_target_task *) &task->depend[depend_cnt];
ttask->devicep = devicep;
ttask->fn = fn;
ttask->mapnum = mapnum;
ttask->args = args;
memcpy (ttask->hostaddrs, hostaddrs, mapnum * sizeof (void *));
ttask->sizes = (size_t *) &ttask->hostaddrs[mapnum];
memcpy (ttask->sizes, sizes, mapnum * sizeof (size_t));
ttask->kinds = (unsigned short *) &ttask->sizes[mapnum];
memcpy (ttask->kinds, kinds, mapnum * sizeof (unsigned short));
if (tgt_align)
{
char *tgt = (char *) &ttask->kinds[mapnum];
size_t i;
uintptr_t al = (uintptr_t) tgt & (tgt_align - 1);
if (al)
tgt += tgt_align - al;
tgt_size = 0;
for (i = 0; i < mapnum; i++)
if ((kinds[i] & 0xff) == GOMP_MAP_FIRSTPRIVATE)
{
size_t align = (size_t) 1 << (kinds[i] >> 8);
tgt_size = (tgt_size + align - 1) & ~(align - 1);
memcpy (tgt + tgt_size, hostaddrs[i], sizes[i]);
ttask->hostaddrs[i] = tgt + tgt_size;
tgt_size = tgt_size + sizes[i];
}
}
ttask->flags = flags;
ttask->state = state;
ttask->task = task;
ttask->team = team;
task->fn = NULL;
task->fn_data = ttask;
task->final_task = 0;
gomp_mutex_lock (&team->task_lock);
/* If parallel or taskgroup has been cancelled, don't start new tasks. */
if (__builtin_expect (gomp_team_barrier_cancelled (&team->barrier)
|| (taskgroup && taskgroup->cancelled), 0))
{
gomp_mutex_unlock (&team->task_lock);
gomp_finish_task (task);
free (task);
return true;
}
if (depend_size)
{
gomp_task_handle_depend (task, parent, depend);
if (task->num_dependees)
{
if (taskgroup)
taskgroup->num_children++;
gomp_mutex_unlock (&team->task_lock);
return true;
}
}
if (state == GOMP_TARGET_TASK_DATA)
{
gomp_task_run_post_handle_depend_hash (task);
gomp_mutex_unlock (&team->task_lock);
gomp_finish_task (task);
free (task);
return false;
}
if (taskgroup)
taskgroup->num_children++;
/* For async offloading, if we don't need to wait for dependencies,
run the gomp_target_task_fn right away, essentially schedule the
mapping part of the task in the current thread. */
if (devicep != NULL
&& (devicep->capabilities & GOMP_OFFLOAD_CAP_OPENMP_400))
{
priority_queue_insert (PQ_CHILDREN, &parent->children_queue, task, 0,
PRIORITY_INSERT_END,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
if (taskgroup)
priority_queue_insert (PQ_TASKGROUP, &taskgroup->taskgroup_queue,
task, 0, PRIORITY_INSERT_END,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
task->pnode[PQ_TEAM].next = NULL;
task->pnode[PQ_TEAM].prev = NULL;
task->kind = GOMP_TASK_TIED;
++team->task_count;
gomp_mutex_unlock (&team->task_lock);
thr->task = task;
gomp_target_task_fn (task->fn_data);
thr->task = parent;
gomp_mutex_lock (&team->task_lock);
task->kind = GOMP_TASK_ASYNC_RUNNING;
/* If GOMP_PLUGIN_target_task_completion has run already
in between gomp_target_task_fn and the mutex lock,
perform the requeuing here. */
if (ttask->state == GOMP_TARGET_TASK_FINISHED)
gomp_target_task_completion (team, task);
else
ttask->state = GOMP_TARGET_TASK_RUNNING;
gomp_mutex_unlock (&team->task_lock);
return true;
}
priority_queue_insert (PQ_CHILDREN, &parent->children_queue, task, 0,
PRIORITY_INSERT_BEGIN,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
if (taskgroup)
priority_queue_insert (PQ_TASKGROUP, &taskgroup->taskgroup_queue, task, 0,
PRIORITY_INSERT_BEGIN,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
priority_queue_insert (PQ_TEAM, &team->task_queue, task, 0,
PRIORITY_INSERT_END,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
++team->task_count;
++team->task_queued_count;
gomp_team_barrier_set_task_pending (&team->barrier);
do_wake = team->task_running_count + !parent->in_tied_task
< team->nthreads;
gomp_mutex_unlock (&team->task_lock);
if (do_wake)
gomp_team_barrier_wake (&team->barrier, 1);
return true;
}
/* Given a parent_depends_on task in LIST, move it to the front of its
priority so it is run as soon as possible.
Care is taken to update the list's LAST_PARENT_DEPENDS_ON field.
We rearrange the queue such that all parent_depends_on tasks are
first, and last_parent_depends_on points to the last such task we
rearranged. For example, given the following tasks in a queue
where PD[123] are the parent_depends_on tasks:
task->children
|
V
C1 -> C2 -> C3 -> PD1 -> PD2 -> PD3 -> C4
We rearrange such that:
task->children
| +--- last_parent_depends_on
| |
V V
PD1 -> PD2 -> PD3 -> C1 -> C2 -> C3 -> C4. */
static void inline
priority_list_upgrade_task (struct priority_list *list,
struct priority_node *node)
{
struct priority_node *last_parent_depends_on
= list->last_parent_depends_on;
if (last_parent_depends_on)
{
node->prev->next = node->next;
node->next->prev = node->prev;
node->prev = last_parent_depends_on;
node->next = last_parent_depends_on->next;
node->prev->next = node;
node->next->prev = node;
}
else if (node != list->tasks)
{
node->prev->next = node->next;
node->next->prev = node->prev;
node->prev = list->tasks->prev;
node->next = list->tasks;
list->tasks = node;
node->prev->next = node;
node->next->prev = node;
}
list->last_parent_depends_on = node;
}
/* Given a parent_depends_on TASK in its parent's children_queue, move
it to the front of its priority so it is run as soon as possible.
PARENT is passed as an optimization.
(This function could be defined in priority_queue.c, but we want it
inlined, and putting it in priority_queue.h is not an option, given
that gomp_task has not been properly defined at that point). */
static void inline
priority_queue_upgrade_task (struct gomp_task *task,
struct gomp_task *parent)
{
struct priority_queue *head = &parent->children_queue;
struct priority_node *node = &task->pnode[PQ_CHILDREN];
#if _LIBGOMP_CHECKING_
if (!task->parent_depends_on)
gomp_fatal ("priority_queue_upgrade_task: task must be a "
"parent_depends_on task");
if (!priority_queue_task_in_queue_p (PQ_CHILDREN, head, task))
gomp_fatal ("priority_queue_upgrade_task: cannot find task=%p", task);
#endif
if (priority_queue_multi_p (head))
{
struct priority_list *list
= priority_queue_lookup_priority (head, task->priority);
priority_list_upgrade_task (list, node);
}
else
priority_list_upgrade_task (&head->l, node);
}
/* Given a CHILD_TASK in LIST that is about to be executed, move it out of
the way in LIST so that other tasks can be considered for
execution. LIST contains tasks of type TYPE.
Care is taken to update the queue's LAST_PARENT_DEPENDS_ON field
if applicable. */
static void inline
priority_list_downgrade_task (enum priority_queue_type type,
struct priority_list *list,
struct gomp_task *child_task)
{
struct priority_node *node = task_to_priority_node (type, child_task);
if (list->tasks == node)
list->tasks = node->next;
else if (node->next != list->tasks)
{
/* The task in NODE is about to become TIED and TIED tasks
cannot come before WAITING tasks. If we're about to
leave the queue in such an indeterminate state, rewire
things appropriately. However, a TIED task at the end is
perfectly fine. */
struct gomp_task *next_task = priority_node_to_task (type, node->next);
if (next_task->kind == GOMP_TASK_WAITING)
{
/* Remove from list. */
node->prev->next = node->next;
node->next->prev = node->prev;
/* Rewire at the end. */
node->next = list->tasks;
node->prev = list->tasks->prev;
list->tasks->prev->next = node;
list->tasks->prev = node;
}
}
/* If the current task is the last_parent_depends_on for its
priority, adjust last_parent_depends_on appropriately. */
if (__builtin_expect (child_task->parent_depends_on, 0)
&& list->last_parent_depends_on == node)
{
struct gomp_task *prev_child = priority_node_to_task (type, node->prev);
if (node->prev != node
&& prev_child->kind == GOMP_TASK_WAITING
&& prev_child->parent_depends_on)
list->last_parent_depends_on = node->prev;
else
{
/* There are no more parent_depends_on entries waiting
to run, clear the list. */
list->last_parent_depends_on = NULL;
}
}
}
/* Given a TASK in HEAD that is about to be executed, move it out of
the way so that other tasks can be considered for execution. HEAD
contains tasks of type TYPE.
Care is taken to update the queue's LAST_PARENT_DEPENDS_ON field
if applicable.
(This function could be defined in priority_queue.c, but we want it
inlined, and putting it in priority_queue.h is not an option, given
that gomp_task has not been properly defined at that point). */
static void inline
priority_queue_downgrade_task (enum priority_queue_type type,
struct priority_queue *head,
struct gomp_task *task)
{
#if _LIBGOMP_CHECKING_
if (!priority_queue_task_in_queue_p (type, head, task))
gomp_fatal ("Attempt to downgrade missing task %p", task);
#endif
if (priority_queue_multi_p (head))
{
struct priority_list *list
= priority_queue_lookup_priority (head, task->priority);
priority_list_downgrade_task (type, list, task);
}
else
priority_list_downgrade_task (type, &head->l, task);
}
/* Setup CHILD_TASK to execute. This is done by setting the task to
TIED, and updating all relevant queues so that CHILD_TASK is no
longer chosen for scheduling. Also, remove CHILD_TASK from the
overall team task queue entirely.
Return TRUE if task or its containing taskgroup has been
cancelled. */
static inline bool
gomp_task_run_pre (struct gomp_task *child_task, struct gomp_task *parent,
struct gomp_team *team)
{
#if _LIBGOMP_CHECKING_
if (child_task->parent)
priority_queue_verify (PQ_CHILDREN,
&child_task->parent->children_queue, true);
if (child_task->taskgroup)
priority_queue_verify (PQ_TASKGROUP,
&child_task->taskgroup->taskgroup_queue, false);
priority_queue_verify (PQ_TEAM, &team->task_queue, false);
#endif
/* Task is about to go tied, move it out of the way. */
if (parent)
priority_queue_downgrade_task (PQ_CHILDREN, &parent->children_queue,
child_task);
/* Task is about to go tied, move it out of the way. */
struct gomp_taskgroup *taskgroup = child_task->taskgroup;
if (taskgroup)
priority_queue_downgrade_task (PQ_TASKGROUP, &taskgroup->taskgroup_queue,
child_task);
priority_queue_remove (PQ_TEAM, &team->task_queue, child_task,
MEMMODEL_RELAXED);
child_task->pnode[PQ_TEAM].next = NULL;
child_task->pnode[PQ_TEAM].prev = NULL;
child_task->kind = GOMP_TASK_TIED;
if (--team->task_queued_count == 0)
gomp_team_barrier_clear_task_pending (&team->barrier);
if ((gomp_team_barrier_cancelled (&team->barrier)
|| (taskgroup && taskgroup->cancelled))
&& !child_task->copy_ctors_done)
return true;
return false;
}
static void
gomp_task_run_post_handle_depend_hash (struct gomp_task *child_task)
{
struct gomp_task *parent = child_task->parent;
size_t i;
for (i = 0; i < child_task->depend_count; i++)
if (!child_task->depend[i].redundant)
{
if (child_task->depend[i].next)
child_task->depend[i].next->prev = child_task->depend[i].prev;
if (child_task->depend[i].prev)
child_task->depend[i].prev->next = child_task->depend[i].next;
else
{
hash_entry_type *slot
= htab_find_slot (&parent->depend_hash, &child_task->depend[i],
NO_INSERT);
if (*slot != &child_task->depend[i])
abort ();
if (child_task->depend[i].next)
*slot = child_task->depend[i].next;
else
htab_clear_slot (parent->depend_hash, slot);
}
}
}
/* After a CHILD_TASK has been run, adjust the dependency queue for
each task that depends on CHILD_TASK, to record the fact that there
is one less dependency to worry about. If a task that depended on
CHILD_TASK now has no dependencies, place it in the various queues
so it gets scheduled to run.
TEAM is the team to which CHILD_TASK belongs to. */
static size_t
gomp_task_run_post_handle_dependers (struct gomp_task *child_task,
struct gomp_team *team)
{
struct gomp_task *parent = child_task->parent;
size_t i, count = child_task->dependers->n_elem, ret = 0;
for (i = 0; i < count; i++)
{
struct gomp_task *task = child_task->dependers->elem[i];
/* CHILD_TASK satisfies a dependency for TASK. Keep track of
TASK's remaining dependencies. Once TASK has no other
depenencies, put it into the various queues so it will get
scheduled for execution. */
if (--task->num_dependees != 0)
continue;
struct gomp_taskgroup *taskgroup = task->taskgroup;
if (parent)
{
priority_queue_insert (PQ_CHILDREN, &parent->children_queue,
task, task->priority,
PRIORITY_INSERT_BEGIN,
/*adjust_parent_depends_on=*/true,
task->parent_depends_on);
if (parent->taskwait)
{
if (parent->taskwait->in_taskwait)
{
/* One more task has had its dependencies met.
Inform any waiters. */
parent->taskwait->in_taskwait = false;
gomp_sem_post (&parent->taskwait->taskwait_sem);
}
else if (parent->taskwait->in_depend_wait)
{
/* One more task has had its dependencies met.
Inform any waiters. */
parent->taskwait->in_depend_wait = false;
gomp_sem_post (&parent->taskwait->taskwait_sem);
}
}
}
if (taskgroup)
{
priority_queue_insert (PQ_TASKGROUP, &taskgroup->taskgroup_queue,
task, task->priority,
PRIORITY_INSERT_BEGIN,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
if (taskgroup->in_taskgroup_wait)
{
/* One more task has had its dependencies met.
Inform any waiters. */
taskgroup->in_taskgroup_wait = false;
gomp_sem_post (&taskgroup->taskgroup_sem);
}
}
priority_queue_insert (PQ_TEAM, &team->task_queue,
task, task->priority,
PRIORITY_INSERT_END,
/*adjust_parent_depends_on=*/false,
task->parent_depends_on);
++team->task_count;
++team->task_queued_count;
++ret;
}
free (child_task->dependers);
child_task->dependers = NULL;
if (ret > 1)
gomp_team_barrier_set_task_pending (&team->barrier);
return ret;
}
static inline size_t
gomp_task_run_post_handle_depend (struct gomp_task *child_task,
struct gomp_team *team)
{
if (child_task->depend_count == 0)
return 0;
/* If parent is gone already, the hash table is freed and nothing
will use the hash table anymore, no need to remove anything from it. */
if (child_task->parent != NULL)
gomp_task_run_post_handle_depend_hash (child_task);
if (child_task->dependers == NULL)
return 0;
return gomp_task_run_post_handle_dependers (child_task, team);
}
/* Remove CHILD_TASK from its parent. */
static inline void
gomp_task_run_post_remove_parent (struct gomp_task *child_task)
{
struct gomp_task *parent = child_task->parent;
if (parent == NULL)
return;
/* If this was the last task the parent was depending on,
synchronize with gomp_task_maybe_wait_for_dependencies so it can
clean up and return. */
if (__builtin_expect (child_task->parent_depends_on, 0)
&& --parent->taskwait->n_depend == 0
&& parent->taskwait->in_depend_wait)
{
parent->taskwait->in_depend_wait = false;
gomp_sem_post (&parent->taskwait->taskwait_sem);
}
if (priority_queue_remove (PQ_CHILDREN, &parent->children_queue,
child_task, MEMMODEL_RELEASE)
&& parent->taskwait && parent->taskwait->in_taskwait)
{
parent->taskwait->in_taskwait = false;
gomp_sem_post (&parent->taskwait->taskwait_sem);
}
child_task->pnode[PQ_CHILDREN].next = NULL;
child_task->pnode[PQ_CHILDREN].prev = NULL;
}
/* Remove CHILD_TASK from its taskgroup. */
static inline void
gomp_task_run_post_remove_taskgroup (struct gomp_task *child_task)
{
struct gomp_taskgroup *taskgroup = child_task->taskgroup;
if (taskgroup == NULL)
return;
bool empty = priority_queue_remove (PQ_TASKGROUP,
&taskgroup->taskgroup_queue,
child_task, MEMMODEL_RELAXED);
child_task->pnode[PQ_TASKGROUP].next = NULL;
child_task->pnode[PQ_TASKGROUP].prev = NULL;
if (taskgroup->num_children > 1)
--taskgroup->num_children;
else
{
/* We access taskgroup->num_children in GOMP_taskgroup_end
outside of the task lock mutex region, so
need a release barrier here to ensure memory
written by child_task->fn above is flushed
before the NULL is written. */
__atomic_store_n (&taskgroup->num_children, 0, MEMMODEL_RELEASE);
}
if (empty && taskgroup->in_taskgroup_wait)
{
taskgroup->in_taskgroup_wait = false;
gomp_sem_post (&taskgroup->taskgroup_sem);
}
}
void
gomp_barrier_handle_tasks (gomp_barrier_state_t state)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
struct gomp_task *task = thr->task;
struct gomp_task *child_task = NULL;
struct gomp_task *to_free = NULL;
int do_wake = 0;
gomp_mutex_lock (&team->task_lock);
if (gomp_barrier_last_thread (state))
{
if (team->task_count == 0)
{
gomp_team_barrier_done (&team->barrier, state);
gomp_mutex_unlock (&team->task_lock);
gomp_team_barrier_wake (&team->barrier, 0);
return;
}
gomp_team_barrier_set_waiting_for_tasks (&team->barrier);
}
while (1)
{
bool cancelled = false;
if (!priority_queue_empty_p (&team->task_queue, MEMMODEL_RELAXED))
{
bool ignored;
child_task
= priority_queue_next_task (PQ_TEAM, &team->task_queue,
PQ_IGNORED, NULL,
&ignored);
cancelled = gomp_task_run_pre (child_task, child_task->parent,
team);
if (__builtin_expect (cancelled, 0))
{
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
to_free = NULL;
}
goto finish_cancelled;
}
team->task_running_count++;
child_task->in_tied_task = true;
}
gomp_mutex_unlock (&team->task_lock);
if (do_wake)
{
gomp_team_barrier_wake (&team->barrier, do_wake);
do_wake = 0;
}
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
to_free = NULL;
}
if (child_task)
{
thr->task = child_task;
if (__builtin_expect (child_task->fn == NULL, 0))
{
if (gomp_target_task_fn (child_task->fn_data))
{
thr->task = task;
gomp_mutex_lock (&team->task_lock);
child_task->kind = GOMP_TASK_ASYNC_RUNNING;
team->task_running_count--;
struct gomp_target_task *ttask
= (struct gomp_target_task *) child_task->fn_data;
/* If GOMP_PLUGIN_target_task_completion has run already
in between gomp_target_task_fn and the mutex lock,
perform the requeuing here. */
if (ttask->state == GOMP_TARGET_TASK_FINISHED)
gomp_target_task_completion (team, child_task);
else
ttask->state = GOMP_TARGET_TASK_RUNNING;
child_task = NULL;
continue;
}
}
else
child_task->fn (child_task->fn_data);
thr->task = task;
}
else
return;
gomp_mutex_lock (&team->task_lock);
if (child_task)
{
finish_cancelled:;
size_t new_tasks
= gomp_task_run_post_handle_depend (child_task, team);
gomp_task_run_post_remove_parent (child_task);
gomp_clear_parent (&child_task->children_queue);
gomp_task_run_post_remove_taskgroup (child_task);
to_free = child_task;
child_task = NULL;
if (!cancelled)
team->task_running_count--;
if (new_tasks > 1)
{
do_wake = team->nthreads - team->task_running_count;
if (do_wake > new_tasks)
do_wake = new_tasks;
}
if (--team->task_count == 0
&& gomp_team_barrier_waiting_for_tasks (&team->barrier))
{
gomp_team_barrier_done (&team->barrier, state);
gomp_mutex_unlock (&team->task_lock);
gomp_team_barrier_wake (&team->barrier, 0);
gomp_mutex_lock (&team->task_lock);
}
}
}
}
/* Called when encountering a taskwait directive.
Wait for all children of the current task. */
void
GOMP_taskwait (void)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
struct gomp_task *task = thr->task;
struct gomp_task *child_task = NULL;
struct gomp_task *to_free = NULL;
struct gomp_taskwait taskwait;
int do_wake = 0;
/* The acquire barrier on load of task->children here synchronizes
with the write of a NULL in gomp_task_run_post_remove_parent. It is
not necessary that we synchronize with other non-NULL writes at
this point, but we must ensure that all writes to memory by a
child thread task work function are seen before we exit from
GOMP_taskwait. */
if (task == NULL
|| priority_queue_empty_p (&task->children_queue, MEMMODEL_ACQUIRE))
return;
memset (&taskwait, 0, sizeof (taskwait));
bool child_q = false;
gomp_mutex_lock (&team->task_lock);
while (1)
{
bool cancelled = false;
if (priority_queue_empty_p (&task->children_queue, MEMMODEL_RELAXED))
{
bool destroy_taskwait = task->taskwait != NULL;
task->taskwait = NULL;
gomp_mutex_unlock (&team->task_lock);
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
}
if (destroy_taskwait)
gomp_sem_destroy (&taskwait.taskwait_sem);
return;
}
struct gomp_task *next_task
= priority_queue_next_task (PQ_CHILDREN, &task->children_queue,
PQ_TEAM, &team->task_queue, &child_q);
if (next_task->kind == GOMP_TASK_WAITING)
{
child_task = next_task;
cancelled
= gomp_task_run_pre (child_task, task, team);
if (__builtin_expect (cancelled, 0))
{
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
to_free = NULL;
}
goto finish_cancelled;
}
}
else
{
/* All tasks we are waiting for are either running in other
threads, or they are tasks that have not had their
dependencies met (so they're not even in the queue). Wait
for them. */
if (task->taskwait == NULL)
{
taskwait.in_depend_wait = false;
gomp_sem_init (&taskwait.taskwait_sem, 0);
task->taskwait = &taskwait;
}
taskwait.in_taskwait = true;
}
gomp_mutex_unlock (&team->task_lock);
if (do_wake)
{
gomp_team_barrier_wake (&team->barrier, do_wake);
do_wake = 0;
}
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
to_free = NULL;
}
if (child_task)
{
thr->task = child_task;
if (__builtin_expect (child_task->fn == NULL, 0))
{
if (gomp_target_task_fn (child_task->fn_data))
{
thr->task = task;
gomp_mutex_lock (&team->task_lock);
child_task->kind = GOMP_TASK_ASYNC_RUNNING;
struct gomp_target_task *ttask
= (struct gomp_target_task *) child_task->fn_data;
/* If GOMP_PLUGIN_target_task_completion has run already
in between gomp_target_task_fn and the mutex lock,
perform the requeuing here. */
if (ttask->state == GOMP_TARGET_TASK_FINISHED)
gomp_target_task_completion (team, child_task);
else
ttask->state = GOMP_TARGET_TASK_RUNNING;
child_task = NULL;
continue;
}
}
else
child_task->fn (child_task->fn_data);
thr->task = task;
}
else
gomp_sem_wait (&taskwait.taskwait_sem);
gomp_mutex_lock (&team->task_lock);
if (child_task)
{
finish_cancelled:;
size_t new_tasks
= gomp_task_run_post_handle_depend (child_task, team);
if (child_q)
{
priority_queue_remove (PQ_CHILDREN, &task->children_queue,
child_task, MEMMODEL_RELAXED);
child_task->pnode[PQ_CHILDREN].next = NULL;
child_task->pnode[PQ_CHILDREN].prev = NULL;
}
gomp_clear_parent (&child_task->children_queue);
gomp_task_run_post_remove_taskgroup (child_task);
to_free = child_task;
child_task = NULL;
team->task_count--;
if (new_tasks > 1)
{
do_wake = team->nthreads - team->task_running_count
- !task->in_tied_task;
if (do_wake > new_tasks)
do_wake = new_tasks;
}
}
}
}
/* An undeferred task is about to run. Wait for all tasks that this
undeferred task depends on.
This is done by first putting all known ready dependencies
(dependencies that have their own dependencies met) at the top of
the scheduling queues. Then we iterate through these imminently
ready tasks (and possibly other high priority tasks), and run them.
If we run out of ready dependencies to execute, we either wait for
the reamining dependencies to finish, or wait for them to get
scheduled so we can run them.
DEPEND is as in GOMP_task. */
void
gomp_task_maybe_wait_for_dependencies (void **depend)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_task *task = thr->task;
struct gomp_team *team = thr->ts.team;
struct gomp_task_depend_entry elem, *ent = NULL;
struct gomp_taskwait taskwait;
size_t ndepend = (uintptr_t) depend[0];
size_t nout = (uintptr_t) depend[1];
size_t i;
size_t num_awaited = 0;
struct gomp_task *child_task = NULL;
struct gomp_task *to_free = NULL;
int do_wake = 0;
gomp_mutex_lock (&team->task_lock);
for (i = 0; i < ndepend; i++)
{
elem.addr = depend[i + 2];
ent = htab_find (task->depend_hash, &elem);
for (; ent; ent = ent->next)
if (i >= nout && ent->is_in)
continue;
else
{
struct gomp_task *tsk = ent->task;
if (!tsk->parent_depends_on)
{
tsk->parent_depends_on = true;
++num_awaited;
/* If depenency TSK itself has no dependencies and is
ready to run, move it up front so that we run it as
soon as possible. */
if (tsk->num_dependees == 0 && tsk->kind == GOMP_TASK_WAITING)
priority_queue_upgrade_task (tsk, task);
}
}
}
if (num_awaited == 0)
{
gomp_mutex_unlock (&team->task_lock);
return;
}
memset (&taskwait, 0, sizeof (taskwait));
taskwait.n_depend = num_awaited;
gomp_sem_init (&taskwait.taskwait_sem, 0);
task->taskwait = &taskwait;
while (1)
{
bool cancelled = false;
if (taskwait.n_depend == 0)
{
task->taskwait = NULL;
gomp_mutex_unlock (&team->task_lock);
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
}
gomp_sem_destroy (&taskwait.taskwait_sem);
return;
}
/* Theoretically when we have multiple priorities, we should
chose between the highest priority item in
task->children_queue and team->task_queue here, so we should
use priority_queue_next_task(). However, since we are
running an undeferred task, perhaps that makes all tasks it
depends on undeferred, thus a priority of INF? This would
make it unnecessary to take anything into account here,
but the dependencies.
On the other hand, if we want to use priority_queue_next_task(),
care should be taken to only use priority_queue_remove()
below if the task was actually removed from the children
queue. */
bool ignored;
struct gomp_task *next_task
= priority_queue_next_task (PQ_CHILDREN, &task->children_queue,
PQ_IGNORED, NULL, &ignored);
if (next_task->kind == GOMP_TASK_WAITING)
{
child_task = next_task;
cancelled
= gomp_task_run_pre (child_task, task, team);
if (__builtin_expect (cancelled, 0))
{
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
to_free = NULL;
}
goto finish_cancelled;
}
}
else
/* All tasks we are waiting for are either running in other
threads, or they are tasks that have not had their
dependencies met (so they're not even in the queue). Wait
for them. */
taskwait.in_depend_wait = true;
gomp_mutex_unlock (&team->task_lock);
if (do_wake)
{
gomp_team_barrier_wake (&team->barrier, do_wake);
do_wake = 0;
}
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
to_free = NULL;
}
if (child_task)
{
thr->task = child_task;
if (__builtin_expect (child_task->fn == NULL, 0))
{
if (gomp_target_task_fn (child_task->fn_data))
{
thr->task = task;
gomp_mutex_lock (&team->task_lock);
child_task->kind = GOMP_TASK_ASYNC_RUNNING;
struct gomp_target_task *ttask
= (struct gomp_target_task *) child_task->fn_data;
/* If GOMP_PLUGIN_target_task_completion has run already
in between gomp_target_task_fn and the mutex lock,
perform the requeuing here. */
if (ttask->state == GOMP_TARGET_TASK_FINISHED)
gomp_target_task_completion (team, child_task);
else
ttask->state = GOMP_TARGET_TASK_RUNNING;
child_task = NULL;
continue;
}
}
else
child_task->fn (child_task->fn_data);
thr->task = task;
}
else
gomp_sem_wait (&taskwait.taskwait_sem);
gomp_mutex_lock (&team->task_lock);
if (child_task)
{
finish_cancelled:;
size_t new_tasks
= gomp_task_run_post_handle_depend (child_task, team);
if (child_task->parent_depends_on)
--taskwait.n_depend;
priority_queue_remove (PQ_CHILDREN, &task->children_queue,
child_task, MEMMODEL_RELAXED);
child_task->pnode[PQ_CHILDREN].next = NULL;
child_task->pnode[PQ_CHILDREN].prev = NULL;
gomp_clear_parent (&child_task->children_queue);
gomp_task_run_post_remove_taskgroup (child_task);
to_free = child_task;
child_task = NULL;
team->task_count--;
if (new_tasks > 1)
{
do_wake = team->nthreads - team->task_running_count
- !task->in_tied_task;
if (do_wake > new_tasks)
do_wake = new_tasks;
}
}
}
}
/* Called when encountering a taskyield directive. */
void
GOMP_taskyield (void)
{
/* Nothing at the moment. */
}
void
GOMP_taskgroup_start (void)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
struct gomp_task *task = thr->task;
struct gomp_taskgroup *taskgroup;
/* If team is NULL, all tasks are executed as
GOMP_TASK_UNDEFERRED tasks and thus all children tasks of
taskgroup and their descendant tasks will be finished
by the time GOMP_taskgroup_end is called. */
if (team == NULL)
return;
taskgroup = gomp_malloc (sizeof (struct gomp_taskgroup));
taskgroup->prev = task->taskgroup;
priority_queue_init (&taskgroup->taskgroup_queue);
taskgroup->in_taskgroup_wait = false;
taskgroup->cancelled = false;
taskgroup->num_children = 0;
gomp_sem_init (&taskgroup->taskgroup_sem, 0);
task->taskgroup = taskgroup;
}
void
GOMP_taskgroup_end (void)
{
struct gomp_thread *thr = gomp_thread ();
struct gomp_team *team = thr->ts.team;
struct gomp_task *task = thr->task;
struct gomp_taskgroup *taskgroup;
struct gomp_task *child_task = NULL;
struct gomp_task *to_free = NULL;
int do_wake = 0;
if (team == NULL)
return;
taskgroup = task->taskgroup;
if (__builtin_expect (taskgroup == NULL, 0)
&& thr->ts.level == 0)
{
/* This can happen if GOMP_taskgroup_start is called when
thr->ts.team == NULL, but inside of the taskgroup there
is #pragma omp target nowait that creates an implicit
team with a single thread. In this case, we want to wait
for all outstanding tasks in this team. */
gomp_team_barrier_wait (&team->barrier);
return;
}
/* The acquire barrier on load of taskgroup->num_children here
synchronizes with the write of 0 in gomp_task_run_post_remove_taskgroup.
It is not necessary that we synchronize with other non-0 writes at
this point, but we must ensure that all writes to memory by a
child thread task work function are seen before we exit from
GOMP_taskgroup_end. */
if (__atomic_load_n (&taskgroup->num_children, MEMMODEL_ACQUIRE) == 0)
goto finish;
bool unused;
gomp_mutex_lock (&team->task_lock);
while (1)
{
bool cancelled = false;
if (priority_queue_empty_p (&taskgroup->taskgroup_queue,
MEMMODEL_RELAXED))
{
if (taskgroup->num_children)
{
if (priority_queue_empty_p (&task->children_queue,
MEMMODEL_RELAXED))
goto do_wait;
child_task
= priority_queue_next_task (PQ_CHILDREN, &task->children_queue,
PQ_TEAM, &team->task_queue,
&unused);
}
else
{
gomp_mutex_unlock (&team->task_lock);
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
}
goto finish;
}
}
else
child_task
= priority_queue_next_task (PQ_TASKGROUP, &taskgroup->taskgroup_queue,
PQ_TEAM, &team->task_queue, &unused);
if (child_task->kind == GOMP_TASK_WAITING)
{
cancelled
= gomp_task_run_pre (child_task, child_task->parent, team);
if (__builtin_expect (cancelled, 0))
{
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
to_free = NULL;
}
goto finish_cancelled;
}
}
else
{
child_task = NULL;
do_wait:
/* All tasks we are waiting for are either running in other
threads, or they are tasks that have not had their
dependencies met (so they're not even in the queue). Wait
for them. */
taskgroup->in_taskgroup_wait = true;
}
gomp_mutex_unlock (&team->task_lock);
if (do_wake)
{
gomp_team_barrier_wake (&team->barrier, do_wake);
do_wake = 0;
}
if (to_free)
{
gomp_finish_task (to_free);
free (to_free);
to_free = NULL;
}
if (child_task)
{
thr->task = child_task;
if (__builtin_expect (child_task->fn == NULL, 0))
{
if (gomp_target_task_fn (child_task->fn_data))
{
thr->task = task;
gomp_mutex_lock (&team->task_lock);
child_task->kind = GOMP_TASK_ASYNC_RUNNING;
struct gomp_target_task *ttask
= (struct gomp_target_task *) child_task->fn_data;
/* If GOMP_PLUGIN_target_task_completion has run already
in between gomp_target_task_fn and the mutex lock,
perform the requeuing here. */
if (ttask->state == GOMP_TARGET_TASK_FINISHED)
gomp_target_task_completion (team, child_task);
else
ttask->state = GOMP_TARGET_TASK_RUNNING;
child_task = NULL;
continue;
}
}
else
child_task->fn (child_task->fn_data);
thr->task = task;
}
else
gomp_sem_wait (&taskgroup->taskgroup_sem);
gomp_mutex_lock (&team->task_lock);
if (child_task)
{
finish_cancelled:;
size_t new_tasks
= gomp_task_run_post_handle_depend (child_task, team);
gomp_task_run_post_remove_parent (child_task);
gomp_clear_parent (&child_task->children_queue);
gomp_task_run_post_remove_taskgroup (child_task);
to_free = child_task;
child_task = NULL;
team->task_count--;
if (new_tasks > 1)
{
do_wake = team->nthreads - team->task_running_count
- !task->in_tied_task;
if (do_wake > new_tasks)
do_wake = new_tasks;
}
}
}
finish:
task->taskgroup = taskgroup->prev;
gomp_sem_destroy (&taskgroup->taskgroup_sem);
free (taskgroup);
}
int
omp_in_final (void)
{
struct gomp_thread *thr = gomp_thread ();
return thr->task && thr->task->final_task;
}
ialias (omp_in_final)
|
sageInterface.h | #ifndef ROSE_SAGE_INTERFACE
#define ROSE_SAGE_INTERFACE
#include "sage3basic.hhh"
#include <stdint.h>
#include <utility>
#include "rosePublicConfig.h" // for ROSE_BUILD_JAVA_LANGUAGE_SUPPORT
#include "OmpAttribute.h"
#if 0 // FMZ(07/07/2010): the argument "nextErrorCode" should be call-by-reference
SgFile* determineFileType ( std::vector<std::string> argv, int nextErrorCode, SgProject* project );
#else
SgFile* determineFileType ( std::vector<std::string> argv, int& nextErrorCode, SgProject* project );
#endif
#ifndef ROSE_USE_INTERNAL_FRONTEND_DEVELOPMENT
#include "rewrite.h"
#endif
// DQ (7/20/2008): Added support for unparsing abitrary strings in the unparser.
#include "astUnparseAttribute.h"
#include <set>
#ifndef ROSE_USE_INTERNAL_FRONTEND_DEVELOPMENT
#include "LivenessAnalysis.h"
#include "abstract_handle.h"
#include "ClassHierarchyGraph.h"
#endif
// DQ (8/19/2004): Moved from ROSE/src/midend/astRewriteMechanism/rewrite.h
//! A global function for getting the string associated with an enum (which is defined in global scope)
ROSE_DLL_API std::string getVariantName (VariantT v);
// DQ (12/9/2004): Qing, Rich and Dan have decided to start this namespace within ROSE
// This namespace is specific to interface functions that operate on the Sage III AST.
// The name was chosen so as not to conflict with other classes within ROSE.
// This will become the future home of many interface functions which operate on
// the AST and which are generally useful to users. As a namespace multiple files can be used
// to represent the compete interface and different developers may contribute interface
// functions easily.
// Constructor handling: (We have sageBuilder.h now for this purpose, Liao 2/1/2008)
// We could add simpler layers of support for construction of IR nodes by
// hiding many details in "makeSg***()" functions. Such functions would
// return pointers to the associated Sg*** objects and would be able to hide
// many IR specific details, including:
// memory handling
// optional parameter settings not often required
// use of Sg_File_Info objects (and setting them as transformations)
//
// namespace AST_Interface (this name is taken already by some of Qing's work :-)
//! An alias for Sg_File_Info::generateDefaultFileInfoForTransformationNode()
#define TRANS_FILE Sg_File_Info::generateDefaultFileInfoForTransformationNode()
/** Functions that are useful when operating on the AST.
*
* The Sage III IR design attempts to be minimalist. Thus additional functionality is intended to be presented using separate
* higher level interfaces which work with the IR. This namespace collects functions that operate on the IR and support
* numerous types of operations that are common to general analysis and transformation of the AST. */
namespace SageInterface
{
// Liao 6/22/2016: keep records of loop init-stmt normalization, later help undo it to support autoPar.
struct Transformation_Record
{
// a lookup table to check if a for loop has been normalized for its c99-style init-stmt
std::map <SgForStatement* , bool > forLoopInitNormalizationTable;
// Detailed record about the original declaration (1st in the pair) and the normalization generated new declaration (2nd in the pair)
std::map <SgForStatement* , std::pair<SgVariableDeclaration*, SgVariableDeclaration*> > forLoopInitNormalizationRecord;
} ;
ROSE_DLL_API extern Transformation_Record trans_records;
// DQ (4/3/2014): Added general AST support separate from the AST.
// Container and API for analysis information that is outside of the AST and as a result
// prevents frequent modification of the IR.
class DeclarationSets
{
// DQ (4/3/2014): This stores all associated declarations as a map of sets.
// the key to the map is the first nondefining declaration and the elements of the set are
// all of the associated declarations (including the defining declaration).
private:
//! Map of first-nondefining declaration to all other associated declarations.
std::map<SgDeclarationStatement*,std::set<SgDeclarationStatement*>* > declarationMap;
public:
void addDeclaration(SgDeclarationStatement* decl);
const std::set<SgDeclarationStatement*>* getDeclarations(SgDeclarationStatement* decl);
std::map<SgDeclarationStatement*,std::set<SgDeclarationStatement*>* > & getDeclarationMap();
bool isLocatedInDefiningScope(SgDeclarationStatement* decl);
};
// DQ (4/3/2014): This constructs a data structure that holds analysis information about
// the AST that is separate from the AST. This is intended to be a general mechanism
// to support analysis information without constantly modifying the IR.
DeclarationSets* buildDeclarationSets(SgNode*);
//! An internal counter for generating unique SgName
ROSE_DLL_API extern int gensym_counter;
#ifdef ROSE_ENABLE_BINARY_ANALYSIS
//! Find the main interpretation.
SgAsmInterpretation* getMainInterpretation(SgAsmGenericFile* file);
//! Get the unsigned value of a disassembled constant.
uint64_t getAsmConstant(SgAsmValueExpression* e);
//! Get the signed value of a disassembled constant.
int64_t getAsmSignedConstant(SgAsmValueExpression *e);
#endif
//! Function to add "C" style comment to statement.
void addMessageStatement( SgStatement* stmt, std::string message );
//! A persistent attribute to represent a unique name for an expression
class UniqueNameAttribute : public AstAttribute
{
private:
std::string name;
public:
UniqueNameAttribute(std::string n="") {name =n; };
void set_name (std::string n) {name = n;};
std::string get_name () {return name;};
};
//------------------------------------------------------------------------
//@{
/*! @name Symbol tables
\brief utility functions for symbol tables
*/
// DQ (8/5/2020): the "using namespace" directive will not hide existing visability of symbols in resolving visability.
// So we need to test if a symbol is visible exclusing matching alises due to using direectives before we can decide to
// persue name space qualification. This is best demonstrated by Cxx_tests/test2020_18.C, test2020_19.C, test2020_20.C,
// and test2020_21.C.
ROSE_DLL_API SgSymbol *lookupSymbolInParentScopesIgnoringAliasSymbols (const SgName & name, SgScopeStatement *currentScope = NULL, SgTemplateParameterPtrList* templateParameterList = NULL, SgTemplateArgumentPtrList* templateArgumentList = NULL);
// DQ (8/21/2013): Modified to make newest function parameters be default arguments.
// DQ (8/16/2013): For now we want to remove the use of default parameters and add the support for template parameters and template arguments.
//! Find a symbol in current and ancestor scopes for a given variable name, starting from top of ScopeStack if currentscope is not given or NULL.
// SgSymbol *lookupSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope=NULL);
// SgSymbol *lookupSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope, SgTemplateParameterPtrList* templateParameterList, SgTemplateArgumentPtrList* templateArgumentList);
ROSE_DLL_API SgSymbol *lookupSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL, SgTemplateParameterPtrList* templateParameterList = NULL, SgTemplateArgumentPtrList* templateArgumentList = NULL);
// Liao 1/22/2008, used for get symbols for generating variable reference nodes
// ! Find a variable symbol in current and ancestor scopes for a given name
ROSE_DLL_API SgVariableSymbol *lookupVariableSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope=NULL);
// DQ (11/24/2007): Functions moved from the Fortran support so that they could be called from within astPostProcessing.
//!look up the first matched function symbol in parent scopes given only a function name, starting from top of ScopeStack if currentscope is not given or NULL
ROSE_DLL_API SgFunctionSymbol *lookupFunctionSymbolInParentScopes (const SgName & functionName, SgScopeStatement *currentScope=NULL);
// Liao, 1/24/2008, find exact match for a function
//!look up function symbol in parent scopes given both name and function type, starting from top of ScopeStack if currentscope is not given or NULL
ROSE_DLL_API SgFunctionSymbol *lookupFunctionSymbolInParentScopes (const SgName & functionName,
const SgType* t,
SgScopeStatement *currentScope=NULL);
ROSE_DLL_API SgFunctionSymbol *lookupTemplateFunctionSymbolInParentScopes (const SgName & functionName, SgFunctionType * ftype, SgTemplateParameterPtrList * tplparams, SgScopeStatement *currentScope=NULL);
ROSE_DLL_API SgFunctionSymbol *lookupTemplateMemberFunctionSymbolInParentScopes (const SgName & functionName, SgFunctionType * ftype, SgTemplateParameterPtrList * tplparams, SgScopeStatement *currentScope=NULL);
ROSE_DLL_API SgTemplateVariableSymbol * lookupTemplateVariableSymbolInParentScopes (const SgName & name, SgTemplateParameterPtrList * tplparams, SgTemplateArgumentPtrList* tplargs, SgScopeStatement *currentScope=NULL);
// DQ (8/21/2013): Modified to make newest function parameters be default arguments.
// DQ (8/16/2013): For now we want to remove the use of default parameters and add the support for template parameters and template arguments.
// DQ (5/7/2011): Added support for SgClassSymbol (used in name qualification support).
// SgClassSymbol* lookupClassSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL);
ROSE_DLL_API SgClassSymbol* lookupClassSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL, SgTemplateArgumentPtrList* templateArgumentList = NULL);
ROSE_DLL_API SgTypedefSymbol* lookupTypedefSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL);
ROSE_DLL_API SgNonrealSymbol* lookupNonrealSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL, SgTemplateParameterPtrList* templateParameterList = NULL, SgTemplateArgumentPtrList* templateArgumentList = NULL);
#if 0
// DQ (8/13/2013): This function does not make since any more, now that we have made the symbol
// table handling more precise and we have to provide template parameters for any template lookup.
// We also have to know if we want to lookup template classes, template functions, or template
// member functions (since each have specific requirements).
SgTemplateSymbol* lookupTemplateSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL);
#endif
#if 0
// DQ (8/13/2013): I am not sure if we want this functions in place of lookupTemplateSymbolInParentScopes.
// Where these are called we might not know enough information about the template parameters or function
// types, for example.
SgTemplateClassSymbol* lookupTemplateClassSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL, SgTemplateParameterPtrList* templateParameterList = NULL, SgTemplateArgumentPtrList* templateArgumentList = NULL);
SgTemplateFunctionSymbol* lookupTemplateFunctionSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL, SgTemplateParameterPtrList* templateParameterList = NULL);
SgTemplateMemberFunctionSymbol* lookupTemplateMemberFunctionSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL, SgTemplateParameterPtrList* templateParameterList = NULL);
#endif
// DQ (8/21/2013): Modified to make some of the newest function parameters be default arguments.
// DQ (8/13/2013): I am not sure if we want this functions in place of lookupTemplateSymbolInParentScopes.
ROSE_DLL_API SgTemplateClassSymbol* lookupTemplateClassSymbolInParentScopes (const SgName & name, SgTemplateParameterPtrList* templateParameterList, SgTemplateArgumentPtrList* templateArgumentList, SgScopeStatement *cscope = NULL);
ROSE_DLL_API SgEnumSymbol* lookupEnumSymbolInParentScopes (const SgName & name, SgScopeStatement *currentScope = NULL);
ROSE_DLL_API SgNamespaceSymbol* lookupNamespaceSymbolInParentScopes(const SgName & name, SgScopeStatement *currentScope = NULL);
// DQ (7/17/2011): Added function from cxx branch that I need here for the Java support.
// SgClassSymbol* lookupClassSymbolInParentScopes (const SgName & name, SgScopeStatement *cscope);
/*! \brief set_name of symbol in symbol table.
This function extracts the symbol from the relavant symbol table,
changes the name (at the declaration) and reinserts it into the
symbol table.
\internal I think this is what this function does, I need to double check.
*/
// DQ (12/9/2004): Moved this function (by Alin Jula) from being a member of SgInitializedName
// to this location where it can be a part of the interface for the Sage III AST.
ROSE_DLL_API int set_name (SgInitializedName * initializedNameNode, SgName new_name);
/*! \brief Output function type symbols in global function type symbol table.
*/
void outputGlobalFunctionTypeSymbolTable ();
// DQ (6/27/2005):
/*! \brief Output the local symbol tables.
\implementation Each symbol table is output with the file infor where it is located in the source code.
*/
ROSE_DLL_API void outputLocalSymbolTables (SgNode * node);
class OutputLocalSymbolTables:public AstSimpleProcessing
{
public:
void visit (SgNode * node);
};
/*! \brief Regenerate the symbol table.
\implementation current symbol table must be NULL pointer before calling this
function (for safety, but is this a good idea?)
*/
// DQ (9/28/2005):
void rebuildSymbolTable (SgScopeStatement * scope);
/*! \brief Clear those variable symbols with unknown type (together with initialized names) which are also not referenced by any variable references or declarations under root. If root is NULL, all symbols with unknown type will be deleted.
*/
void clearUnusedVariableSymbols (SgNode* root = NULL);
// DQ (3/1/2009):
//! All the symbol table references in the copied AST need to be reset after rebuilding the copied scope's symbol table.
void fixupReferencesToSymbols( const SgScopeStatement* this_scope, SgScopeStatement* copy_scope, SgCopyHelp & help );
//@}
//------------------------------------------------------------------------
//@{
/*! @name Stringify
\brief Generate a useful string (name) to describe a SgNode
*/
/*! \brief Generate a useful name to describe the SgNode
\internal default names are used for SgNode objects that can not be associated with a name.
*/
// DQ (9/21/2005): General function for extracting the name of declarations (when they have names)
std::string get_name (const SgNode * node);
/*! \brief Generate a useful name to describe the declaration
\internal default names are used for declarations that can not be associated with a name.
*/
// DQ (6/13/2005): General function for extracting the name of declarations (when they have names)
std::string get_name (const SgStatement * stmt);
/*! \brief Generate a useful name to describe the expression
\internal default names are used for expressions that can not be associated with a name.
*/
std::string get_name (const SgExpression * expr);
/*! \brief Generate a useful name to describe the declaration
\internal default names are used for declarations that can not be associated with a name.
*/
// DQ (6/13/2005): General function for extracting the name of declarations (when they have names)
std::string get_name (const SgDeclarationStatement * declaration);
/*! \brief Generate a useful name to describe the scope
\internal default names are used for scope that cannot be associated with a name.
*/
// DQ (6/13/2005): General function for extracting the name of declarations (when they have names)
std::string get_name (const SgScopeStatement * scope);
/*! \brief Generate a useful name to describe the SgSymbol
\internal default names are used for SgSymbol objects that cannot be associated with a name.
*/
// DQ (2/11/2007): Added this function to make debugging support more complete (useful for symbol table debugging support).
std::string get_name (const SgSymbol * symbol);
/*! \brief Generate a useful name to describe the SgType
\internal default names are used for SgType objects that cannot be associated with a name.
*/
std::string get_name (const SgType * type);
/*! \brief Generate a useful name to describe the SgSupport IR node
*/
std::string get_name (const SgSupport * node);
/*! \brief Generate a useful name to describe the SgLocatedNodeSupport IR node
*/
std::string get_name (const SgLocatedNodeSupport * node);
/*! \brief Generate a useful name to describe the SgC_PreprocessorDirectiveStatement IR node
*/
std::string get_name ( const SgC_PreprocessorDirectiveStatement* directive );
/*! \brief Generate a useful name to describe the SgToken IR node
*/
std::string get_name ( const SgToken* token );
/*! \brief Returns the type introduced by a declaration.
*/
// PP (11/22/2021): General function for extracting the type of declarations (when they declare types)
SgType* getDeclaredType(const SgDeclarationStatement* declaration);
// DQ (3/20/2016): Added to refactor some of the DSL infrastructure support.
/*! \brief Generate a useful name to support construction of identifiers from declarations.
This function permits names to be generated that will be unique across translation units
(a specific requirement different from the context of the get_name() functions above).
\internal This supports only a restricted set of declarations presently.
*/
std::string generateUniqueNameForUseAsIdentifier ( SgDeclarationStatement* declaration );
std::string generateUniqueNameForUseAsIdentifier_support ( SgDeclarationStatement* declaration );
/*! \brief Global map of name collisions to support generateUniqueNameForUseAsIdentifier() function.
*/
extern std::map<std::string,int> local_name_collision_map;
extern std::map<std::string,SgNode*> local_name_to_node_map;
extern std::map<SgNode*,std::string> local_node_to_name_map;
/*! \brief Traversal to set the global map of names to node and node to names.collisions to support generateUniqueNameForUseAsIdentifier() function.
*/
void computeUniqueNameForUseAsIdentifier( SgNode* astNode );
/*! \brief Reset map variables used to support generateUniqueNameForUseAsIdentifier() function.
*/
void reset_name_collision_map();
//@}
//------------------------------------------------------------------------
//@{
/*! @name Class utilities
\brief
*/
/*! \brief Get the default destructor from the class declaration
*/
// DQ (6/21/2005): Get the default destructor from the class declaration
ROSE_DLL_API SgMemberFunctionDeclaration *getDefaultDestructor (SgClassDeclaration* classDeclaration);
/*! \brief Get the default constructor from the class declaration
*/
// DQ (6/22/2005): Get the default constructor from the class declaration
ROSE_DLL_API SgMemberFunctionDeclaration *getDefaultConstructor (SgClassDeclaration* classDeclaration);
/*! \brief Return true if template definition is in the class, false if outside of class.
*/
// DQ (8/27/2005):
ROSE_DLL_API bool templateDefinitionIsInClass (SgTemplateInstantiationMemberFunctionDecl* memberFunctionDeclaration);
/*! \brief Generate a non-defining (forward) declaration from a defining function declaration.
\internal should put into sageBuilder ?
*/
// DQ (9/17/2005):
ROSE_DLL_API SgTemplateInstantiationMemberFunctionDecl* buildForwardFunctionDeclaration (SgTemplateInstantiationMemberFunctionDecl * memberFunctionInstantiation);
//! Check if a SgNode is a declaration for a structure
ROSE_DLL_API bool isStructDeclaration(SgNode * node);
//! Check if a SgNode is a declaration for a union
ROSE_DLL_API bool isUnionDeclaration(SgNode * node);
#if 0
// DQ (8/28/2005): This is already a member function of the SgFunctionDeclaration
// (so that it can handle template functions and member functions)
/*! \brief Return true if member function of a template member function,
of false if a non-template member function in a templated class.
*/
// DQ (8/27/2005):
bool isTemplateMemberFunction (SgTemplateInstantiationMemberFunctionDecl* memberFunctionDeclaration);
#endif
// DQ (11/9/2020): Added function to support adding a default constructor definition to a class
// if it does not have a default constructor, but has any other constructor that would prevend
// a compiler generated default constructor from being generated by the compiler.
// Note the physical_file_id is so that it can be marked to be unparsed when header file unparsing is active.
ROSE_DLL_API bool addDefaultConstructorIfRequired ( SgClassType* classType, int physical_file_id = Sg_File_Info::TRANSFORMATION_FILE_ID );
//@}
//------------------------------------------------------------------------
//@{
/*! @name Misc.
\brief Not sure the classifications right now
*/
//! Recursively print current and parent nodes. used within gdb to probe the context of a node.
void recursivePrintCurrentAndParent (SgNode* n) ;
//! Save AST into a pdf file. Start from a node to find its enclosing file node. The entire file's AST will be saved into a pdf.
void saveToPDF(SgNode* node, std::string filename);
void saveToPDF(SgNode* node); // enable calling from gdb
//! Pretty print AST horizontally, output to std output
void printAST (SgNode* node);
//! Pretty print AST horizontally, output to a specified text file.
void printAST2TextFile (SgNode* node, const char* filename);
void printAST2TextFile (SgNode* node, std::string filename);
// DQ (2/12/2012): Added some diagnostic support.
//! Diagnostic function for tracing back through the parent list to understand at runtime where in the AST a failure happened.
void whereAmI(SgNode* node);
//! Extract a SgPragmaDeclaration's leading keyword . For example "#pragma omp parallel" has a keyword of "omp".
std::string extractPragmaKeyword(const SgPragmaDeclaration *);
//! Check if a node is SgOmp*Statement
ROSE_DLL_API bool isOmpStatement(SgNode* );
/*! \brief Return true if function is overloaded.
*/
// DQ (8/27/2005):
bool isOverloaded (SgFunctionDeclaration * functionDeclaration);
// DQ (2/14/2012): Added support function used for variable declarations in conditionals.
//! Support function used for variable declarations in conditionals
void initializeIfStmt(SgIfStmt *ifstmt, SgStatement* conditional, SgStatement * true_body, SgStatement * false_body);
//! Support function used for variable declarations in conditionals
void initializeSwitchStatement(SgSwitchStatement* switchStatement,SgStatement *item_selector,SgStatement *body);
//! Support function used for variable declarations in conditionals
void initializeWhileStatement(SgWhileStmt* whileStatement, SgStatement * condition, SgStatement *body, SgStatement *else_body);
//! Generate unique names for expressions and attach the names as persistent attributes ("UniqueNameAttribute")
void annotateExpressionsWithUniqueNames (SgProject* project);
//! Check if a SgNode is a main() function declaration
ROSE_DLL_API bool isMain (const SgNode* node);
// DQ (6/22/2005):
/*! \brief Generate unique name from C and C++ constructs. The name may contain space.
This is support for the AST merge, but is generally useful as a more general mechanism than
name mangling which is more closely ties to the generation of names to support link-time function name
resolution. This is more general than common name mangling in that it resolves more relevant differences
between C and C++ declarations. (e.g. the type within the declaration: "struct { int:8; } foo;").
\implementation current work does not support expressions.
*/
std::string generateUniqueName ( const SgNode * node, bool ignoreDifferenceBetweenDefiningAndNondefiningDeclarations);
/** Generate a name like __temp#__ that is unique in the current scope and any parent and children scopes. # is a unique integer counter.
* @param baseName the word to be included in the variable names. */
std::string generateUniqueVariableName(SgScopeStatement* scope, std::string baseName = "temp");
// DQ (8/10/2010): Added const to first parameter.
// DQ (3/10/2007):
//! Generate a unique string from the source file position information
std::string declarationPositionString (const SgDeclarationStatement * declaration);
// DQ (1/20/2007):
//! Added mechanism to generate project name from list of file names
ROSE_DLL_API std::string generateProjectName (const SgProject * project, bool supressSuffix = false );
//! Given a SgExpression that represents a named function (or bound member
//! function), return the mentioned function
SgFunctionDeclaration* getDeclarationOfNamedFunction(SgExpression* func);
//! Get the mask expression from the header of a SgForAllStatement
SgExpression* forallMaskExpression(SgForAllStatement* stmt);
//! Find all SgPntrArrRefExp under astNode, then add SgVarRefExp (if any) of SgPntrArrRefExp's dim_info into NodeList_t
void addVarRefExpFromArrayDimInfo(SgNode * astNode, Rose_STL_Container<SgNode *>& NodeList_t);
// DQ (10/6/2006): Added support for faster mangled name generation (caching avoids recomputation).
/*! \brief Support for faster mangled name generation (caching avoids recomputation).
*/
#ifndef SWIG
// DQ (3/10/2013): This appears to be a problem for the SWIG interface (undefined reference at link-time).
void clearMangledNameCache (SgGlobal * globalScope);
void resetMangledNameCache (SgGlobal * globalScope);
#endif
std::string getMangledNameFromCache (SgNode * astNode);
std::string addMangledNameToCache (SgNode * astNode, const std::string & mangledName);
SgDeclarationStatement * getNonInstantiatonDeclarationForClass (SgTemplateInstantiationMemberFunctionDecl * memberFunctionInstantiation);
//! a better version for SgVariableDeclaration::set_baseTypeDefininingDeclaration(), handling all side effects automatically
//! Used to have a struct declaration embedded into a variable declaration
void setBaseTypeDefiningDeclaration(SgVariableDeclaration* var_decl, SgDeclarationStatement *base_decl);
// DQ (10/14/2006): This function tests the AST to see if for a non-defining declaration, the
// bool declarationPreceedsDefinition ( SgClassDeclaration* classNonDefiningDeclaration, SgClassDeclaration* classDefiningDeclaration );
//! Check if a defining declaration comes before of after the non-defining declaration.
bool declarationPreceedsDefinition (SgDeclarationStatement *nonDefiningDeclaration, SgDeclarationStatement *definingDeclaration);
// DQ (10/19/2006): Function calls have interesting context dependent rules to determine if
// they are output with a global qualifier or not. Were this is true we have to avoid global
// qualifiers, since the function's scope has not been defined. This is an example of where
// qualification of function names in function calls are context dependent; an interesting
// example of where the C++ language is not friendly to source-to-source processing :-).
bool functionCallExpressionPreceedsDeclarationWhichAssociatesScope (SgFunctionCallExp * functionCall);
/*! \brief Compute the intersection set for two ASTs.
This is part of a test done by the copy function to compute those IR nodes in the copy that still reference the original AST.
*/
ROSE_DLL_API std::vector < SgNode * >astIntersection (SgNode * original, SgNode * copy, SgCopyHelp * help = NULL);
//! Deep copy an arbitrary subtree
ROSE_DLL_API SgNode* deepCopyNode (const SgNode* subtree);
//! A template function for deep copying a subtree. It is also used to create deepcopy functions with specialized parameter and return types. e.g SgExpression* copyExpression(SgExpression* e);
template <typename NodeType>
NodeType* deepCopy (const NodeType* subtree) {
return dynamic_cast<NodeType*>(deepCopyNode(subtree));
}
//! Deep copy an expression
ROSE_DLL_API SgExpression* copyExpression(SgExpression* e);
//!Deep copy a statement
ROSE_DLL_API SgStatement* copyStatement(SgStatement* s);
// from VarSym.cc in src/midend/astOutlining/src/ASTtools
//! Get the variable symbol for the first initialized name of a declaration stmt.
ROSE_DLL_API SgVariableSymbol* getFirstVarSym (SgVariableDeclaration* decl);
//! Get the first initialized name of a declaration statement
ROSE_DLL_API SgInitializedName* getFirstInitializedName (SgVariableDeclaration* decl);
//! A special purpose statement removal function, originally from inlinerSupport.h, Need Jeremiah's attention to refine it. Please don't use it for now.
ROSE_DLL_API void myRemoveStatement(SgStatement* stmt);
//! Check if a bool or int constant expression evaluates to be a true value
ROSE_DLL_API bool isConstantTrue(SgExpression* e);
//! Check if a bool or int constant expression evaluates to be a false value
ROSE_DLL_API bool isConstantFalse(SgExpression* e);
ROSE_DLL_API bool isCallToParticularFunction(SgFunctionDeclaration* decl, SgExpression* e);
ROSE_DLL_API bool isCallToParticularFunction(const std::string& qualifiedName, size_t arity, SgExpression* e);
//! Check if a declaration has a "static' modifier
bool ROSE_DLL_API isStatic(SgDeclarationStatement* stmt);
//! Set a declaration as static
ROSE_DLL_API void setStatic(SgDeclarationStatement* stmt);
//! Check if a declaration has an "extern" modifier
ROSE_DLL_API bool isExtern(SgDeclarationStatement* stmt);
//! Set a declaration as extern
ROSE_DLL_API void setExtern(SgDeclarationStatement* stmt);
//! True if an SgInitializedName is "mutable' (has storage modifier set)
bool ROSE_DLL_API isMutable(SgInitializedName* name);
//! True if a parameter name is a Jovial output parameter
bool ROSE_DLL_API isJovialOutParam(SgInitializedName* name);
//! Get a vector of Jovial input parameters from the function parameter list (may work for Fortran in the future)
std::vector<SgInitializedName*> getInParameters(const SgInitializedNamePtrList ¶ms);
//! Get a vector of Jovial output parameters from the function parameter list (may work for Fortran in the future)
std::vector<SgInitializedName*> getOutParameters(const SgInitializedNamePtrList ¶ms);
//! Interface for creating a statement whose computation writes its answer into
//! a given variable.
class StatementGenerator {
public:
virtual ~StatementGenerator() {};
virtual SgStatement* generate(SgExpression* where_to_write_answer) = 0;
};
//! Check if a SgNode _s is an assignment statement (any of =,+=,-=,&=,/=, ^=, etc)
//!
//! Return the left hand, right hand expressions and if the left hand variable is also being read
bool isAssignmentStatement(SgNode* _s, SgExpression** lhs=NULL, SgExpression** rhs=NULL, bool* readlhs=NULL);
//! Variable references can be introduced by SgVarRef, SgPntrArrRefExp, SgInitializedName, SgMemberFunctionRef etc. For Dot and Arrow Expressions, their lhs is used to obtain SgInitializedName (coarse grain) by default. Otherwise, fine-grain rhs is used.
ROSE_DLL_API SgInitializedName* convertRefToInitializedName(SgNode* current, bool coarseGrain=true);
//! Build an abstract handle from an AST node, reuse previously built handle when possible
ROSE_DLL_API AbstractHandle::abstract_handle* buildAbstractHandle(SgNode*);
//! Obtain a matching SgNode from an abstract handle string
ROSE_DLL_API SgNode* getSgNodeFromAbstractHandleString(const std::string& input_string);
//! Dump information about a SgNode for debugging
ROSE_DLL_API void dumpInfo(SgNode* node, std::string desc="");
//! Reorder a list of declaration statements based on their appearance order in source files
ROSE_DLL_API std::vector<SgDeclarationStatement*>
sortSgNodeListBasedOnAppearanceOrderInSource(const std::vector<SgDeclarationStatement*>& nodevec);
// DQ (4/13/2013): We need these to support the unparing of operators defined by operator syntax or member function names.
//! Is an overloaded operator a prefix operator (e.g. address operator X * operator&(), dereference operator X & operator*(), unary plus operator X & operator+(), etc.
// bool isPrefixOperator( const SgMemberFunctionRefExp* memberFunctionRefExp );
bool isPrefixOperator( SgExpression* exp );
//! Check for proper names of possible prefix operators (used in isPrefixOperator()).
bool isPrefixOperatorName( const SgName & functionName );
//! Is an overloaded operator a postfix operator. (e.g. ).
bool isPostfixOperator( SgExpression* exp );
//! Is an overloaded operator an index operator (also referred to as call or subscript operators). (e.g. X & operator()() or X & operator[]()).
bool isIndexOperator( SgExpression* exp );
// DQ (1/10/2014): Adding more general support for token based unparsing.
//! Used to support token unparsing (when the output the trailing token sequence).
SgStatement* lastStatementOfScopeWithTokenInfo (SgScopeStatement* scope, std::map<SgNode*,TokenStreamSequenceToNodeMapping*> & tokenStreamSequenceMap);
// DQ (8/12/2020): Check the access permissions of all defining and nodefining declarations.
void checkAccessPermissions ( SgNode* );
// DQ (8/14/2020): Check the symbol tables for specific scopes (debugging support).
void checkSymbolTables ( SgNode* );
// DQ (11/9/2020): Added support for makring IR nodes and subtrees of the AST to be unparsed (physical_file_id
// is required when unparsing header files is true or support multiple files and shared IR nodes).
void markSubtreeToBeUnparsed(SgNode* root, int physical_file_id);
void markNodeToBeUnparsed(SgNode* node, int physical_file_id);
//@}
//------------------------------------------------------------------------
//@{
/*! @name AST properties
\brief version, language properties of current AST.
*/
// DQ (11/25/2020): Add support to set this as a specific language kind file (there is at least one language kind file processed by ROSE).
// The value of 0 allows the old implementation to be tested, and the value of 1 allows the new optimized implementation to be tested.
// However to get all of the functions to be inlined, we have to recompile all of ROSE.
#define INLINE_OPTIMIZED_IS_LANGUAGE_KIND_FUNCTIONS 1
// std::string version(); // utility_functions.h, version number
/*! Brief These traverse the memory pool of SgFile IR nodes and determine what languages are in use!
*/
#if INLINE_OPTIMIZED_IS_LANGUAGE_KIND_FUNCTIONS
ROSE_DLL_API inline bool is_Ada_language () { return Rose::is_Ada_language; }
ROSE_DLL_API inline bool is_C_language () { return Rose::is_C_language; }
ROSE_DLL_API inline bool is_Cobol_language () { return Rose::is_Cobol_language; }
ROSE_DLL_API inline bool is_OpenMP_language () { return Rose::is_OpenMP_language; }
ROSE_DLL_API inline bool is_UPC_language () { return Rose::is_UPC_language; }
ROSE_DLL_API inline bool is_UPC_dynamic_threads() { return Rose::is_UPC_dynamic_threads; }
ROSE_DLL_API inline bool is_C99_language () { return Rose::is_C99_language; }
ROSE_DLL_API inline bool is_Cxx_language () { return Rose::is_Cxx_language; }
ROSE_DLL_API inline bool is_Java_language () { return Rose::is_Java_language; }
ROSE_DLL_API inline bool is_Jovial_language () { return Rose::is_Jovial_language; }
ROSE_DLL_API inline bool is_Fortran_language () { return Rose::is_Fortran_language; }
ROSE_DLL_API inline bool is_CAF_language () { return Rose::is_CAF_language; }
ROSE_DLL_API inline bool is_PHP_language() { return Rose::is_PHP_language; }
ROSE_DLL_API inline bool is_Python_language() { return Rose::is_Python_language; }
ROSE_DLL_API inline bool is_Cuda_language() { return Rose::is_Cuda_language; }
ROSE_DLL_API inline bool is_OpenCL_language() { return Rose::is_OpenCL_language; }
ROSE_DLL_API inline bool is_X10_language() { return Rose::is_X10_language; }
ROSE_DLL_API inline bool is_binary_executable() { return Rose::is_binary_executable; }
#else
ROSE_DLL_API bool is_Ada_language ();
ROSE_DLL_API bool is_C_language ();
ROSE_DLL_API bool is_Cobol_language ();
ROSE_DLL_API bool is_OpenMP_language ();
ROSE_DLL_API bool is_UPC_language ();
//! Check if dynamic threads compilation is used for UPC programs
ROSE_DLL_API bool is_UPC_dynamic_threads();
ROSE_DLL_API bool is_C99_language ();
ROSE_DLL_API bool is_Cxx_language ();
ROSE_DLL_API bool is_Java_language ();
ROSE_DLL_API bool is_Jovial_language ();
ROSE_DLL_API bool is_Fortran_language ();
ROSE_DLL_API bool is_CAF_language ();
ROSE_DLL_API bool is_PHP_language();
ROSE_DLL_API bool is_Python_language();
ROSE_DLL_API bool is_Cuda_language();
ROSE_DLL_API bool is_OpenCL_language();
ROSE_DLL_API bool is_X10_language();
ROSE_DLL_API bool is_binary_executable();
#endif
ROSE_DLL_API bool is_mixed_C_and_Cxx_language ();
ROSE_DLL_API bool is_mixed_Fortran_and_C_language ();
ROSE_DLL_API bool is_mixed_Fortran_and_Cxx_language ();
ROSE_DLL_API bool is_mixed_Fortran_and_C_and_Cxx_language ();
ROSE_DLL_API bool is_language_case_insensitive ();
ROSE_DLL_API bool language_may_contain_nondeclarations_in_scope ();
//@}
//------------------------------------------------------------------------
//@{
/*! @name Scope
\brief
*/
// DQ (10/5/2006): Added support for faster (non-quadratic) computation of unique
// labels for scopes in a function (as required for name mangling).
/*! \brief Assigns unique numbers to each SgScopeStatement of a function.
This is used to provide unique names for variables and types defined is
different nested scopes of a function (used in mangled name generation).
*/
void resetScopeNumbers (SgFunctionDefinition * functionDeclaration);
// DQ (10/5/2006): Added support for faster (non-quadratic) computation of unique
// labels for scopes in a function (as required for name mangling).
/*! \brief Clears the cache of scope,integer pairs for the input function.
This is used to clear the cache of computed unique labels for scopes in a function.
This function should be called after any transformation on a function that might effect
the allocation of scopes and cause the existing unique numbers to be incorrect.
This is part of support to provide unique names for variables and types defined is
different nested scopes of a function (used in mangled name generation).
*/
void clearScopeNumbers (SgFunctionDefinition * functionDefinition);
//!Find the enclosing namespace of a declaration
SgNamespaceDefinitionStatement * enclosingNamespaceScope (SgDeclarationStatement * declaration);
// SgNamespaceDefinitionStatement * getEnclosingNamespaceScope (SgNode * node);
bool isPrototypeInScope (SgScopeStatement * scope,
SgFunctionDeclaration * functionDeclaration,
SgDeclarationStatement * startingAtDeclaration);
//!check if node1 is a strict ancestor of node 2. (a node is not considered its own ancestor)
bool ROSE_DLL_API isAncestor(SgNode* node1, SgNode* node2);
//@}
//------------------------------------------------------------------------
//@{
/*! @name Preprocessing Information
\brief #if-#else-#end, comments, #include, etc
*/
//! Dumps a located node's preprocessing information.
void dumpPreprocInfo (SgLocatedNode* locatedNode);
//! Find the preprocessingInfo node representing #include <header.h> or #include "header.h" within a source file. Return NULL if not found.
ROSE_DLL_API PreprocessingInfo * findHeader(SgSourceFile * source_file, const std::string & header_file_name, bool isSystemHeader);
//! Insert #include "filename" or #include <filename> (system header) onto the global scope of a source file, add to be the last #include .. by default among existing headers, Or as the first header. Recommended for use.
ROSE_DLL_API PreprocessingInfo * insertHeader(SgSourceFile * source_file, const std::string & header_file_name, bool isSystemHeader, bool asLastHeader);
//! Insert a new header right before stmt, if there are existing headers attached to stmt, insert it as the last or first header as specified by asLastHeader
ROSE_DLL_API void insertHeader (SgStatement* stmt, PreprocessingInfo* newheader, bool asLastHeader);
//! Insert #include "filename" or #include <filename> (system header) onto the global scope of a source file
ROSE_DLL_API PreprocessingInfo * insertHeader(SgSourceFile * source_file, const std::string & header_file_name, bool isSystemHeader = false, PreprocessingInfo::RelativePositionType position = PreprocessingInfo::before);
//! Insert #include "filename" or #include <filename> (system header) into the global scope containing the current scope, right after other #include XXX.
ROSE_DLL_API PreprocessingInfo* insertHeader(const std::string& filename, PreprocessingInfo::RelativePositionType position=PreprocessingInfo::after, bool isSystemHeader=false, SgScopeStatement* scope=NULL);
//! Identical to movePreprocessingInfo(), except for the stale name and confusing order of parameters. It will be deprecated soon.
ROSE_DLL_API void moveUpPreprocessingInfo (SgStatement* stmt_dst, SgStatement* stmt_src, PreprocessingInfo::RelativePositionType src_position=PreprocessingInfo::undef, PreprocessingInfo::RelativePositionType dst_position=PreprocessingInfo::undef, bool usePrepend= false);
//! Move preprocessing information of stmt_src to stmt_dst, Only move preprocessing information from the specified source-relative position to a specified target position, otherwise move all preprocessing information with position information intact. The preprocessing information is appended to the existing preprocessing information list of the target node by default. Prepending is used if usePreprend is set to true. Optionally, the relative position can be adjust after the moving using dst_position.
ROSE_DLL_API void movePreprocessingInfo (SgStatement* stmt_src, SgStatement* stmt_dst, PreprocessingInfo::RelativePositionType src_position=PreprocessingInfo::undef,
PreprocessingInfo::RelativePositionType dst_position=PreprocessingInfo::undef, bool usePrepend= false);
//!Cut preprocessing information from a source node and save it into a buffer. Used in combination of pastePreprocessingInfo(). The cut-paste operation is similar to moveUpPreprocessingInfo() but it is more flexible in that the destination node can be unknown during the cut operation.
ROSE_DLL_API void cutPreprocessingInfo (SgLocatedNode* src_node, PreprocessingInfo::RelativePositionType pos, AttachedPreprocessingInfoType& save_buf);
//!Paste preprocessing information from a buffer to a destination node. Used in combination of cutPreprocessingInfo()
ROSE_DLL_API void pastePreprocessingInfo (SgLocatedNode* dst_node, PreprocessingInfo::RelativePositionType pos, AttachedPreprocessingInfoType& saved_buf);
//! Attach an arbitrary string to a located node. A workaround to insert irregular statements or vendor-specific attributes.
ROSE_DLL_API PreprocessingInfo* attachArbitraryText(SgLocatedNode* target,
const std::string & text,
PreprocessingInfo::RelativePositionType position=PreprocessingInfo::before);
//!Check if a pragma declaration node has macro calls attached, if yes, replace macro calls within the pragma string with expanded strings. This only works if -rose:wave is turned on.
ROSE_DLL_API void replaceMacroCallsWithExpandedStrings(SgPragmaDeclaration* target);
//@}
//! Build and attach comment onto the global scope of a source file
PreprocessingInfo* attachComment(
SgSourceFile * source_file,
const std::string & content,
PreprocessingInfo::DirectiveType directive_type = PreprocessingInfo::C_StyleComment,
PreprocessingInfo::RelativePositionType position = PreprocessingInfo::before
);
//! Build and attach comment, comment style is inferred from the language type of the target node if not provided
ROSE_DLL_API PreprocessingInfo* attachComment(SgLocatedNode* target, const std::string & content,
PreprocessingInfo::RelativePositionType position=PreprocessingInfo::before,
PreprocessingInfo::DirectiveType dtype= PreprocessingInfo::CpreprocessorUnknownDeclaration);
// DQ (7/20/2008): I am not clear were I should put this function, candidates include: SgLocatedNode or SgInterface
//! Add a string to be unparsed to support code generation for back-end specific tools or compilers.
ROSE_DLL_API void addTextForUnparser ( SgNode* astNode, std::string s, AstUnparseAttribute::RelativePositionType inputlocation );
/**
* Add preproccessor guard around a given node.
* It surrounds the node with "#if guard" and "#endif"
*/
void guardNode(SgLocatedNode * target, std::string guard);
//@}
//------------------------------------------------------------------------
//@{
/*! @name Source File Position
\brief set Sg_File_Info for a SgNode
*/
// ************************************************************************
// Newer versions of now depricated functions
// ************************************************************************
// DQ (5/1/2012): This function queries the SageBuilder::SourcePositionClassification mode (stored in the SageBuilder
// interface) and used the specified mode to initialize the source position data (Sg_File_Info objects). This
// function is the only function that should be called directly (though in a namespace we can't define permissions).
//! Set the source code positon for the current (input) node.
ROSE_DLL_API void setSourcePosition(SgNode* node);
// A better name might be "setSourcePositionForSubTree"
//! Set the source code positon for the subtree (including the root).
ROSE_DLL_API void setSourcePositionAtRootAndAllChildren(SgNode *root);
//! DQ (5/1/2012): New function with improved name.
void setSourcePositionAsTransformation(SgNode *node);
// DQ (5/1/2012): Newly renamed function (previous name preserved for backward compatability).
void setSourcePositionPointersToNull(SgNode *node);
// ************************************************************************
// ************************************************************************
// Older deprecated functions
// ************************************************************************
// Liao, 1/8/2007, set file info. for a whole subtree as transformation generated
//! Set current node's source position as transformation generated
ROSE_DLL_API void setOneSourcePositionForTransformation(SgNode *node);
//! Set current node's source position as NULL
ROSE_DLL_API void setOneSourcePositionNull(SgNode *node);
//! Recursively set source position info(Sg_File_Info) as transformation generated
ROSE_DLL_API void setSourcePositionForTransformation (SgNode * root);
//! Set source position info(Sg_File_Info) as transformation generated for all SgNodes in memory pool
// ROSE_DLL_API void setSourcePositionForTransformation_memoryPool();
//! Check if a node is from a system header file
ROSE_DLL_API bool insideSystemHeader (SgLocatedNode* node);
// DQ (2/27/2021): Adding support to detect if a SgLocatedNode is located in a header file.
//! Check if a node is from a header file
ROSE_DLL_API bool insideHeader (SgLocatedNode* node);
//! Set the source position of SgLocatedNode to Sg_File_Info::generateDefaultFileInfo(). These nodes WILL be unparsed. Not for transformation usage.
// ROSE_DLL_API void setSourcePosition (SgLocatedNode * locatedNode);
// ************************************************************************
//@}
//------------------------------------------------------------------------
//@{
/*! @name Data types
\brief
*/
// from src/midend/astInlining/typeTraits.h
// src/midend/astUtil/astInterface/AstInterface.h
//! Get the right bool type according to C or C++ language input
SgType* getBoolType(SgNode* n);
//! Check if a type is an integral type, only allowing signed/unsigned short, int, long, long long.
////!
////! There is another similar function named SgType::isIntegerType(), which allows additional types char, wchar, and bool to be treated as integer types
ROSE_DLL_API bool isStrictIntegerType(SgType* t);
//!Get the data type of the first initialized name of a declaration statement
ROSE_DLL_API SgType* getFirstVarType(SgVariableDeclaration* decl);
//! Is a type default constructible? This may not quite work properly.
ROSE_DLL_API bool isDefaultConstructible(SgType* type);
//! Is a type copy constructible? This may not quite work properly.
ROSE_DLL_API bool isCopyConstructible(SgType* type);
//! Is a type assignable? This may not quite work properly.
ROSE_DLL_API bool isAssignable(SgType* type);
#ifndef ROSE_USE_INTERNAL_FRONTEND_DEVELOPMENT
//! Check if a class type is a pure virtual class. True means that there is at least
//! one pure virtual function that has not been overridden.
//! In the case of an incomplete class type (forward declaration), this function returns false.
ROSE_DLL_API bool isPureVirtualClass(SgType* type, const ClassHierarchyWrapper& classHierarchy);
#endif
//! Does a type have a trivial (built-in) destructor?
ROSE_DLL_API bool hasTrivialDestructor(SgType* t);
//! Is this type a non-constant reference type? (Handles typedefs correctly)
ROSE_DLL_API bool isNonconstReference(SgType* t);
//! Is this type a const or non-const reference type? (Handles typedefs correctly)
ROSE_DLL_API bool isReferenceType(SgType* t);
//! Is this type a pointer type? (Handles typedefs correctly)
ROSE_DLL_API bool isPointerType(SgType* t);
//! Is this a pointer to a non-const type? Note that this function will return true for const pointers pointing to
//! non-const types. For example, (int* const y) points to a modifiable int, so this function returns true. Meanwhile,
//! it returns false for (int const * x) and (int const * const x) because these types point to a const int.
//! Also, only the outer layer of nested pointers is unwrapped. So the function returns true for (const int ** y), but returns
//! false for const (int * const * x)
ROSE_DLL_API bool isPointerToNonConstType(SgType* type);
//! Is this a const type?
/* const char* p = "aa"; is not treated as having a const type. It is a pointer to const char.
* Similarly, neither for const int b[10]; or const int & c =10;
* The standard says, "A compound type is not cv-qualified by the cv-qualifiers (if any) of
the types from which it is compounded. Any cv-qualifiers applied to an array type affect the array element type, not the array type".
*/
ROSE_DLL_API bool isConstType(SgType* t);
//! Remove const (if present) from a type. stripType() cannot do this because it removes all modifiers.
SgType* removeConst(SgType* t);
//! Is this a volatile type?
ROSE_DLL_API bool isVolatileType(SgType* t);
//! Is this a restrict type?
ROSE_DLL_API bool isRestrictType(SgType* t);
//! Is this a scalar type?
/*! We define the following SgType as scalar types: char, short, int, long , void, Wchar, Float, double, long long, string, bool, complex, imaginary
*/
ROSE_DLL_API bool isScalarType(SgType* t);
//! Check if a type is an integral type, only allowing signed/unsigned short, int, long, long long.
//!
//! There is another similar function named SgType::isIntegerType(), which allows additional types char, wchar, and bool.
ROSE_DLL_API bool isStrictIntegerType(SgType* t);
//! Check if a type is a struct type (a special SgClassType in ROSE)
ROSE_DLL_API bool isStructType(SgType* t);
//! Generate a mangled string for a given type based on Itanium C++ ABI
ROSE_DLL_API std::string mangleType(SgType* type);
//! Generate mangled scalar type names according to Itanium C++ ABI, the input type should pass isScalarType() in ROSE
ROSE_DLL_API std::string mangleScalarType(SgType* type);
//! Generated mangled modifier types, include const, volatile,according to Itanium C++ ABI, with extension to handle UPC shared types.
ROSE_DLL_API std::string mangleModifierType(SgModifierType* type);
//! Calculate the number of elements of an array type: dim1* dim2*... , assume element count is 1 for int a[]; Strip off THREADS if it is a UPC array.
ROSE_DLL_API size_t getArrayElementCount(SgArrayType* t);
//! Get the number of dimensions of an array type
ROSE_DLL_API int getDimensionCount(SgType* t);
//! Get the element type of an array. It recursively find the base type for multi-dimension array types
ROSE_DLL_API SgType* getArrayElementType(SgType* t);
//! Get the element type of an array, pointer or string, or NULL if not applicable. This function only check one level base type. No recursion.
ROSE_DLL_API SgType* getElementType(SgType* t);
/// \brief returns the array dimensions in an array as defined for arrtype
/// \param arrtype the type of a C/C++ array
/// \return an array that contains an expression indicating each dimension's size.
/// OWNERSHIP of the expressions is TRANSFERED TO the CALLER (which
/// becomes responsible for freeing the expressions).
/// Note, the first entry of the array is a SgNullExpression, iff the
/// first array dimension was not specified.
/// \code
/// int x[] = { 1, 2, 3 };
/// \endcode
/// note, the expression does not have to be a constant
/// \code
/// int x[i*5];
/// \endcode
/// \post return-value.empty() == false
/// \post return-value[*] != NULL (no nullptr in the returned vector)
std::vector<SgExpression*>
get_C_array_dimensions(const SgArrayType& arrtype);
/// \brief returns the array dimensions in an array as defined for arrtype
/// \param arrtype the type of a C/C++ array
/// \param varref a reference to an array variable (the variable of type arrtype)
/// \return an array that contains an expression indicating each dimension's size.
/// OWNERSHIP of the expressions is TRANSFERED TO the CALLER (which
/// becomes responsible for freeing the expressions).
/// If the first array dimension was not specified an expression
/// that indicates that size is generated.
/// \code
/// int x[][3] = { 1, 2, 3, 4, 5, 6 };
/// \endcode
/// the entry for the first dimension will be:
/// \code
/// // 3 ... size of 2nd dimension
/// sizeof(x) / (sizeof(int) * 3)
/// \endcode
/// \pre arrtype is the array-type of varref
/// \post return-value.empty() == false
/// \post return-value[*] != NULL (no nullptr in the returned vector)
/// \post !isSgNullExpression(return-value[*])
std::vector<SgExpression*>
get_C_array_dimensions(const SgArrayType& arrtype, const SgVarRefExp& varref);
/// \overload
/// \note see get_C_array_dimensions for SgVarRefExp for details.
/// \todo make initname const
std::vector<SgExpression*>
get_C_array_dimensions(const SgArrayType& arrtype, SgInitializedName& initname);
//! Check if an expression is an array access (SgPntrArrRefExp). If so, return its name expression and subscripts if requested. Users can use convertRefToInitializedName() to get the possible name. It does not check if the expression is a top level SgPntrArrRefExp.
ROSE_DLL_API bool isArrayReference(SgExpression* ref, SgExpression** arrayNameExp=NULL, std::vector<SgExpression*>** subscripts=NULL);
//! Collect variable references in array types. The default NodeQuery::querySubTree() will miss variables referenced in array type's index list. e.g. double *buffer = new double[numItems] ;
ROSE_DLL_API int collectVariableReferencesInArrayTypes (SgLocatedNode* root, Rose_STL_Container<SgNode*> & currentVarRefList);
//! Has a UPC shared type of any kinds (shared-to-shared, private-to-shared, shared-to-private, shared scalar/array)? An optional parameter, mod_type_out, stores the first SgModifierType with UPC access information.
/*!
* Note: we classify private-to-shared as 'has shared' type for convenience here. It is indeed a private type in strict sense.
AST graph for some examples:
- shared scalar: SgModifierType -->base type
- shared array: SgArrayType --> SgModiferType --> base type
- shared to shared: SgModifierType --> SgPointerType --> SgModifierType ->SgTypeInt
- shared to private: SgModifierType --> SgPointerType --> base type
- private to shared: SgPointerType --> SgModifierType --> base type
*/
ROSE_DLL_API bool hasUpcSharedType(SgType* t, SgModifierType ** mod_type_out = NULL );
//! Check if a type is a UPC shared type, including shared array, shared pointers etc. Exclude private pointers to shared types. Optionally return the modifier type with the UPC shared property.
/*!
* ROSE uses SgArrayType of SgModifierType to represent shared arrays, not SgModifierType points to SgArrayType. Also typedef may cause a chain of nodes before reach the actual SgModifierType with UPC shared property.
*/
ROSE_DLL_API bool isUpcSharedType(SgType* t, SgModifierType ** mod_type_out = NULL);
//! Check if a modifier type is a UPC shared type.
ROSE_DLL_API bool isUpcSharedModifierType (SgModifierType* mod_type);
//! Check if an array type is a UPC shared type. ROSE AST represents a UPC shared array as regular array of elements of UPC shared Modifier Type. Not directly a UPC shared Modifier Type of an array.
ROSE_DLL_API bool isUpcSharedArrayType (SgArrayType* array_type);
//! Check if a shared UPC type is strict memory consistency or not. Return false if it is relaxed. (So isUpcRelaxedSharedModifierType() is not necessary.)
ROSE_DLL_API bool isUpcStrictSharedModifierType(SgModifierType* mode_type);
//! Get the block size of a UPC shared modifier type
ROSE_DLL_API size_t getUpcSharedBlockSize(SgModifierType* mod_type);
//! Get the block size of a UPC shared type, including Modifier types and array of modifier types (shared arrays)
ROSE_DLL_API size_t getUpcSharedBlockSize(SgType* t);
//! Is UPC phase-less shared type? Phase-less means block size of the first SgModifierType with UPC information is 1 or 0/unspecified. Also return false if the type is not a UPC shared type.
ROSE_DLL_API bool isUpcPhaseLessSharedType (SgType* t);
//! Is a UPC private-to-shared pointer? SgPointerType comes first compared to SgModifierType with UPC information. Input type must be any of UPC shared types first.
ROSE_DLL_API bool isUpcPrivateToSharedType(SgType* t);
//! Is a UPC array with dimension of X*THREADS
ROSE_DLL_API bool isUpcArrayWithThreads(SgArrayType* t);
//! Lookup a named type based on its name, bottomup searching from a specified scope. Note name collison might be allowed for c (not C++) between typedef and enum/struct. Only the first matched named type will be returned in this case. typedef is returned as it is, not the base type it actually refers to.
ROSE_DLL_API SgType* lookupNamedTypeInParentScopes(const std::string& type_name, SgScopeStatement* scope=NULL);
// DQ (7/22/2014): Added support for comparing expression types in actual arguments with those expected from the formal function parameter types.
//! Get the type of the associated argument expression from the function type.
ROSE_DLL_API SgType* getAssociatedTypeFromFunctionTypeList(SgExpression* actual_argument_expression);
//! Verify that 2 SgTemplateArgument are equivalent (same type, same expression, or same template declaration)
ROSE_DLL_API bool templateArgumentEquivalence(SgTemplateArgument * arg1, SgTemplateArgument * arg2);
//! Verify that 2 SgTemplateArgumentPtrList are equivalent.
ROSE_DLL_API bool templateArgumentListEquivalence(const SgTemplateArgumentPtrList & list1, const SgTemplateArgumentPtrList & list2);
//! Test for equivalence of types independent of access permissions (private or protected modes for members of classes).
ROSE_DLL_API bool isEquivalentType (const SgType* lhs, const SgType* rhs);
//! Find the function type matching a function signature plus a given return type
ROSE_DLL_API SgFunctionType* findFunctionType (SgType* return_type, SgFunctionParameterTypeList* typeList);
//! Test if two types are equivalent SgFunctionType nodes. This is necessary for template function types
//! They may differ in one SgTemplateType pointer but identical otherwise.
ROSE_DLL_API bool isEquivalentFunctionType (const SgFunctionType* lhs, const SgFunctionType* rhs);
//@}
//------------------------------------------------------------------------
//@{
/*! @name Loop handling
\brief
*/
// by Jeremiah
//! Add a step statement to the end of a loop body
//! Add a new label to the end of the loop, with the step statement after
//! it; then change all continue statements in the old loop body into
//! jumps to the label
//!
//! For example:
//! while (a < 5) {if (a < -3) continue;} (adding "a++" to end) becomes
//! while (a < 5) {if (a < -3) goto label; label: a++;}
ROSE_DLL_API void addStepToLoopBody(SgScopeStatement* loopStmt, SgStatement* step);
ROSE_DLL_API void moveForStatementIncrementIntoBody(SgForStatement* f);
ROSE_DLL_API void convertForToWhile(SgForStatement* f);
ROSE_DLL_API void convertAllForsToWhiles(SgNode* top);
//! Change continue statements in a given block of code to gotos to a label
ROSE_DLL_API void changeContinuesToGotos(SgStatement* stmt, SgLabelStatement* label);
//!Return the loop index variable for a for loop
ROSE_DLL_API SgInitializedName* getLoopIndexVariable(SgNode* loop);
//!Check if a SgInitializedName is used as a loop index within a AST subtree
//! This function will use a bottom-up traverse starting from the subtree_root to find all enclosing loops and check if ivar is used as an index for either of them.
ROSE_DLL_API bool isLoopIndexVariable(SgInitializedName* ivar, SgNode* subtree_root);
//! Check if a for loop uses C99 style initialization statement with multiple expressions like for (int i=0, j=0; ..) or for (i=0,j=0;...)
/*!
for (int i=0, j=0; ..) is stored as two variable declarations under SgForInitStatement's init_stmt member
for (i=0,j=0;...) is stored as a single expression statement, with comma expression (i=0,j=0).
*/
ROSE_DLL_API bool hasMultipleInitStatmentsOrExpressions (SgForStatement* for_loop);
//! Routines to get and set the body of a loop
ROSE_DLL_API SgStatement* getLoopBody(SgScopeStatement* loop);
ROSE_DLL_API void setLoopBody(SgScopeStatement* loop, SgStatement* body);
//! Routines to get the condition of a loop. It recognize While-loop, For-loop, and Do-While-loop
ROSE_DLL_API SgStatement* getLoopCondition(SgScopeStatement* loop);
//! Set the condition statement of a loop, including While-loop, For-loop, and Do-While-loop.
ROSE_DLL_API void setLoopCondition(SgScopeStatement* loop, SgStatement* cond);
//! Check if a for-loop has a canonical form, return loop index, bounds, step, and body if requested
//!
//! A canonical form is defined as : one initialization statement, a test expression, and an increment expression , loop index variable should be of an integer type. IsInclusiveUpperBound is true when <= or >= is used for loop condition
ROSE_DLL_API bool isCanonicalForLoop(SgNode* loop, SgInitializedName** ivar=NULL, SgExpression** lb=NULL, SgExpression** ub=NULL, SgExpression** step=NULL, SgStatement** body=NULL, bool *hasIncrementalIterationSpace = NULL, bool* isInclusiveUpperBound = NULL);
//! Check if a Fortran Do loop has a complete canonical form: Do I=1, 10, 1
ROSE_DLL_API bool isCanonicalDoLoop(SgFortranDo* loop,SgInitializedName** ivar/*=NULL*/, SgExpression** lb/*=NULL*/, SgExpression** ub/*=NULL*/, SgExpression** step/*=NULL*/, SgStatement** body/*=NULL*/, bool *hasIncrementalIterationSpace/*= NULL*/, bool* isInclusiveUpperBound/*=NULL*/);
//! Set the lower bound of a loop header for (i=lb; ...)
ROSE_DLL_API void setLoopLowerBound(SgNode* loop, SgExpression* lb);
//! Set the upper bound of a loop header,regardless the condition expression type. for (i=lb; i op up, ...)
ROSE_DLL_API void setLoopUpperBound(SgNode* loop, SgExpression* ub);
//! Set the stride(step) of a loop 's incremental expression, regardless the expression types (i+=s; i= i+s, etc)
ROSE_DLL_API void setLoopStride(SgNode* loop, SgExpression* stride);
//! Normalize loop init stmt by promoting the single variable declaration statement outside of the for loop header's init statement, e.g. for (int i=0;) becomes int i_x; for (i_x=0;..) and rewrite the loop with the new index variable, if necessary
ROSE_DLL_API bool normalizeForLoopInitDeclaration(SgForStatement* loop);
//! Undo the normalization of for loop's C99 init declaration. Previous record of normalization is used to ease the reverse transformation.
ROSE_DLL_API bool unnormalizeForLoopInitDeclaration(SgForStatement* loop);
//! Normalize a for loop, return true if successful. Generated constants will be fold by default.
//!
//! Translations are :
//! For the init statement: for (int i=0;... ) becomes int i; for (i=0;..)
//! For test expression:
//! i<x is normalized to i<= (x-1) and
//! i>x is normalized to i>= (x+1)
//! For increment expression:
//! i++ is normalized to i+=1 and
//! i-- is normalized to i+=-1
//! i-=s is normalized to i+= -s
ROSE_DLL_API bool forLoopNormalization(SgForStatement* loop, bool foldConstant = true);
//! Normalize a for loop's test expression
//! i<x is normalized to i<= (x-1) and
//! i>x is normalized to i>= (x+1)
ROSE_DLL_API bool normalizeForLoopTest(SgForStatement* loop);
ROSE_DLL_API bool normalizeForLoopIncrement(SgForStatement* loop);
//!Normalize a Fortran Do loop. Make the default increment expression (1) explicit
ROSE_DLL_API bool doLoopNormalization(SgFortranDo* loop);
//! Unroll a target loop with a specified unrolling factor. It handles steps larger than 1 and adds a fringe loop if the iteration count is not evenly divisible by the unrolling factor.
ROSE_DLL_API bool loopUnrolling(SgForStatement* loop, size_t unrolling_factor);
//! Interchange/permutate a n-level perfectly-nested loop rooted at 'loop' using a lexicographical order number within (0,depth!).
ROSE_DLL_API bool loopInterchange(SgForStatement* loop, size_t depth, size_t lexicoOrder);
//! Tile the n-level (starting from 1) loop of a perfectly nested loop nest using tiling size s
ROSE_DLL_API bool loopTiling(SgForStatement* loopNest, size_t targetLevel, size_t tileSize);
//Winnie Loop Collapsing
SgExprListExp * loopCollapsing(SgForStatement* target_loop, size_t collapsing_factor);
bool getForLoopInformations(
SgForStatement * for_loop,
SgVariableSymbol * & iterator,
SgExpression * & lower_bound,
SgExpression * & upper_bound,
SgExpression * & stride
);
//@}
//------------------------------------------------------------------------
//@{
/*! @name Topdown search
\brief Top-down traversal from current node to find a node of a specified type
*/
//! Query a subtree to get all nodes of a given type, with an appropriate downcast.
template <typename NodeType>
std::vector<NodeType*> querySubTree(SgNode* top, VariantT variant = (VariantT)NodeType::static_variant)
{
#if 0
printf ("Top of SageInterface::querySubTree() \n");
#endif
Rose_STL_Container<SgNode*> nodes = NodeQuery::querySubTree(top,variant);
std::vector<NodeType*> result(nodes.size(), NULL);
int count = 0;
#if 0
printf ("In SageInterface::querySubTree(): before initialization loop \n");
#endif
for (Rose_STL_Container<SgNode*>::const_iterator i = nodes.begin(); i != nodes.end(); ++i, ++count)
{
#if 0
printf ("In SageInterface::querySubTree(): in loop: count = %d \n",count);
#endif
NodeType* node = dynamic_cast<NodeType*>(*i);
ROSE_ASSERT (node);
result[count] = node;
}
#if 0
printf ("Leaving SageInterface::querySubTree(): after initialization loop \n");
#endif
return result;
}
/*! \brief Returns STL vector of SgFile IR node pointers.
Demonstrates use of restricted traversal over just SgFile IR nodes.
*/
std::vector < SgFile * >generateFileList ();
/** Get the current SgProject IR Node.
*
* The library should never have more than one project and it asserts such. If no project has been created yet then this
* function returns the null pointer. */
ROSE_DLL_API SgProject * getProject();
//! \return the project associated with a node
SgProject * getProject(const SgNode * node);
//! Query memory pools to grab SgNode of a specified type
template <typename NodeType>
static std::vector<NodeType*> getSgNodeListFromMemoryPool()
{
// This function uses a memory pool traversal specific to the SgFile IR nodes
class MyTraversal : public ROSE_VisitTraversal
{
public:
std::vector<NodeType*> resultlist;
void visit ( SgNode* node)
{
NodeType* result = dynamic_cast<NodeType* > (node);
ROSE_ASSERT(result!= NULL);
if (result!= NULL)
{
resultlist.push_back(result);
}
};
virtual ~MyTraversal() {}
};
MyTraversal my_traversal;
NodeType::traverseMemoryPoolNodes(my_traversal);
return my_traversal.resultlist;
}
/*! \brief top-down traversal from current node to find the main() function declaration
*/
ROSE_DLL_API SgFunctionDeclaration* findMain(SgNode* currentNode);
//! Find the last declaration statement within a scope (if any). This is often useful to decide where to insert another variable declaration statement. Pragma declarations are not treated as a declaration by default in this context.
SgStatement* findLastDeclarationStatement(SgScopeStatement * scope, bool includePragma = false);
//midend/programTransformation/partialRedundancyElimination/pre.h
//! Find referenced symbols within an expression
std::vector<SgVariableSymbol*> getSymbolsUsedInExpression(SgExpression* expr);
//! Find break statements inside a particular statement, stopping at nested loops or switches
/*! loops or switch statements defines their own contexts for break
statements. The function will stop immediately if run on a loop or switch
statement. If fortranLabel is non-empty, breaks (EXITs) to that label within
nested loops are included in the returned list.
*/
std::vector<SgBreakStmt*> findBreakStmts(SgStatement* code, const std::string& fortranLabel = "");
//! Find all continue statements inside a particular statement, stopping at nested loops
/*! Nested loops define their own contexts for continue statements. The
function will stop immediately if run on a loop
statement. If fortranLabel is non-empty, continues (CYCLEs) to that label
within nested loops are included in the returned list.
*/
std::vector<SgContinueStmt*> findContinueStmts(SgStatement* code, const std::string& fortranLabel = "");
std::vector<SgGotoStatement*> findGotoStmts(SgStatement* scope, SgLabelStatement* l);
std::vector<SgStatement*> getSwitchCases(SgSwitchStatement* sw);
//! Collect all variable references in a subtree
void collectVarRefs(SgLocatedNode* root, std::vector<SgVarRefExp* >& result);
//! Topdown traverse a subtree from root to find the first declaration given its name, scope (optional, can be NULL), and defining or nondefining flag.
template <typename T>
T* findDeclarationStatement(SgNode* root, std::string name, SgScopeStatement* scope, bool isDefining)
{
bool found = false;
#if 0
printf ("In findDeclarationStatement(): root = %p \n",root);
printf ("In findDeclarationStatement(): name = %s \n",name.c_str());
printf ("In findDeclarationStatement(): scope = %p \n",scope);
printf ("In findDeclarationStatement(): isDefining = %s \n",isDefining ? "true" : "false");
#endif
// Do we really want a NULL pointer to be acceptable input to this function?
// Maybe we should have an assertion that it is non-null?
if (!root) return NULL;
T* decl = dynamic_cast<T*>(root);
#if 0
printf ("In findDeclarationStatement(): decl = %p \n",decl);
#endif
if (decl != NULL)
{
if (scope)
{
if ((decl->get_scope() == scope) && (decl->search_for_symbol_from_symbol_table()->get_name() == name))
{
found = true;
}
}
else // Liao 2/9/2010. We should allow NULL scope
{
#if 0
// DQ (12/6/2016): Include this into the debugging code to aboid compiler warning about unused variable.
SgSymbol* symbol = decl->search_for_symbol_from_symbol_table();
printf ("In findDeclarationStatement(): decl->search_for_symbol_from_symbol_table() = %p \n",symbol);
printf ("In findDeclarationStatement(): decl->search_for_symbol_from_symbol_table()->get_name() = %s \n",symbol->get_name().str());
#endif
if (decl->search_for_symbol_from_symbol_table()->get_name() == name)
{
found = true;
}
}
}
if (found)
{
if (isDefining)
{
#if 0
printf ("In findDeclarationStatement(): decl->get_firstNondefiningDeclaration() = %p \n",decl->get_firstNondefiningDeclaration());
printf ("In findDeclarationStatement(): decl->get_definingDeclaration() = %p \n",decl->get_definingDeclaration());
#endif
ROSE_ASSERT (decl->get_definingDeclaration() != NULL);
#if 0
printf ("In findDeclarationStatement(): returing decl->get_definingDeclaration() = %p \n",decl->get_definingDeclaration());
#endif
return dynamic_cast<T*> (decl->get_definingDeclaration());
}
else
{
#if 0
printf ("In findDeclarationStatement(): returing decl = %p \n",decl);
#endif
return decl;
}
}
std::vector<SgNode*> children = root->get_traversalSuccessorContainer();
#if 0
printf ("In findDeclarationStatement(): children.size() = %zu \n",children.size());
#endif
// DQ (4/10/2016): Note that if we are searching for a function member that has it's defining
// declaration defined outside of the class then it will not be found in the child list.
for (std::vector<SgNode*>::const_iterator i = children.begin(); i != children.end(); ++i)
{
T* target = findDeclarationStatement<T> (*i,name,scope,isDefining);
if (target)
{
return target;
}
}
return NULL;
}
//! Topdown traverse a subtree from root to find the first function declaration matching the given name, scope (optional, can be NULL), and defining or nondefining flag. This is an instantiation of findDeclarationStatement<T>.
SgFunctionDeclaration* findFunctionDeclaration(SgNode* root, std::string name, SgScopeStatement* scope, bool isDefining);
#if 0 //TODO
// 1. preorder traversal from current SgNode till find next SgNode of type V_SgXXX
// until reach the end node
SgNode* getNextSgNode( const SgNode* astSourceNode, VariantT=V_SgNode, SgNode* astEndNode=NULL);
// 2. return all nodes of type VariantT following the source node
std::vector<SgNode*> getAllNextSgNode( const SgNode* astSourceNode, VariantT=V_SgNode, SgNode* astEndNode=NULL);
#endif
//@}
//------------------------------------------------------------------------
//@{
/*! @name Bottom up search
\brief Backwards traverse through the AST to find a node, findEnclosingXXX()
*/
// remember to put const to all arguments.
/** Find a node by type using upward traversal.
*
* Traverse backward through a specified node's ancestors, starting with the node's parent and progressing to more distant
* ancestors, to find the first node matching the specified or derived type. If @p includingSelf is true then the
* starting node, @p astNode, is returned if its type matches, otherwise the search starts at the parent of @p astNode.
*
* For the purposes of this function, the parent (P) of an SgDeclarationStatement node (N) is considered to be the first
* non-defining declaration of N if N has both a defining declaration and a first non-defining declaration and the defining
* declaration is different than the first non-defining declaration.
*
* If no ancestor of the requisite type of subtypes is found then this function returns a null pointer.
*
* If @p astNode is the null pointer, then the return value is a null pointer. That is, if there is no node, then there cannot
* be an enclosing node of the specified type. */
template <typename NodeType>
NodeType* getEnclosingNode(const SgNode* astNode, const bool includingSelf = false)
{
#define DEBUG_GET_ENCLOSING_NODE 0
#if 1 /* TOP_LEVEL_IF */
// DQ (12/31/2019): This version does not detect a cycle that Robb's version detects in processing Cxx11_tests/test2016_23.C.
// This will have to be investigated seperately from the issue I am working on currently.
// DQ (10/20/2012): This is the older version of this implementation. Until I am sure that
// the newer version (below) is what we want to use I will resolve this conflict by keeping
// the previous version in place.
if (NULL == astNode)
{
return NULL;
}
if ( (includingSelf ) && (dynamic_cast<const NodeType*>(astNode)) )
{
return const_cast<NodeType*>(dynamic_cast<const NodeType*> (astNode));
}
// DQ (3/5/2012): Check for reference to self...
ROSE_ASSERT(astNode->get_parent() != astNode);
SgNode* parent = astNode->get_parent();
// DQ (3/5/2012): Check for loops that will cause infinite loops.
SgNode* previouslySeenParent = parent;
bool foundCycle = false;
int counter = 0;
#if DEBUG_GET_ENCLOSING_NODE
printf ("In getEnclosingNode(): previouslySeenParent = %p = %s \n",previouslySeenParent,previouslySeenParent->class_name().c_str());
#endif
while ( (foundCycle == false) && (parent != NULL) && (!dynamic_cast<const NodeType*>(parent)) )
{
ROSE_ASSERT(parent->get_parent() != parent);
#if DEBUG_GET_ENCLOSING_NODE
printf (" --- parent = %p = %s \n",parent,parent->class_name().c_str());
printf (" --- --- parent->get_parent() = %p = %s \n",parent->get_parent(),parent->get_parent()->class_name().c_str());
#endif
#if 1
// DQ (1/8/2020): ROSE-82 (on RZ) This limit needs to be larger and increasing it to 500 was enough
// for a specific code with a long chain of if-then-else nesting, So to make this sufficent for more
// general code we have increased the lomit to 100,000. Note that 50 was not enough for real code,
// but was enough for our regression tests.
// DQ (12/30/2019): This is added to support detection of infinite loops over parent pointers.
// if (counter >= 500)
if (counter >= 100000)
{
printf ("Exiting: In getEnclosingNode(): loop limit exceeded: counter = %d \n",counter);
ROSE_ABORT();
}
#endif
parent = parent->get_parent();
// DQ (3/5/2012): Check for loops that will cause infinite loops.
// ROSE_ASSERT(parent != previouslySeenParent);
if (parent == previouslySeenParent)
{
foundCycle = true;
}
counter++;
}
#if DEBUG_GET_ENCLOSING_NODE
printf ("previouslySeenParent = %p = %s \n",previouslySeenParent,previouslySeenParent->class_name().c_str());
#endif
parent = previouslySeenParent;
SgDeclarationStatement* declarationStatement = isSgDeclarationStatement(parent);
if (declarationStatement != NULL)
{
#if 0
printf ("Found a SgDeclarationStatement \n");
#endif
SgDeclarationStatement* definingDeclaration = declarationStatement->get_definingDeclaration();
SgDeclarationStatement* firstNondefiningDeclaration = declarationStatement->get_firstNondefiningDeclaration();
#if 0
printf (" --- declarationStatement = %p \n",declarationStatement);
printf (" --- definingDeclaration = %p \n",definingDeclaration);
if (definingDeclaration != NULL && definingDeclaration->get_parent() != NULL)
printf (" --- definingDeclaration ->get_parent() = %p = %s \n",definingDeclaration->get_parent(),definingDeclaration->get_parent()->class_name().c_str());
printf (" --- firstNondefiningDeclaration = %p \n",firstNondefiningDeclaration);
if (firstNondefiningDeclaration != NULL && firstNondefiningDeclaration->get_parent() != NULL)
printf (" --- firstNondefiningDeclaration ->get_parent() = %p = %s \n",firstNondefiningDeclaration->get_parent(),firstNondefiningDeclaration->get_parent()->class_name().c_str());
#endif
if (definingDeclaration != NULL && declarationStatement != firstNondefiningDeclaration)
{
#if 0
printf ("Found a nondefining declaration so use the non-defining declaration instead \n");
#endif
// DQ (10/19/2012): Use the defining declaration instead.
// parent = firstNondefiningDeclaration;
parent = definingDeclaration;
}
}
#if 0
printf ("reset: previouslySeenParent = %p = %s \n",previouslySeenParent,previouslySeenParent->class_name().c_str());
#endif
// DQ (10/19/2012): This branch is just to document the cycle that was previously detected, it is for
// debugging only. Thus it ony make sense for it to be executed when "(foundCycle == true)". However,
// this will have to be revisited later since it appears clear that it is a problem for the binary analysis
// work when it is visited for this case. Since the cycle is detected, but there is no assertion on the
// cycle, we don't exit when a cycle is identified (which is the point of the code below).
// Note also that I have fixed the code (above and below) to only chase pointers through defining
// declarations (where they exist), this is important since non-defining declarations can be almost
// anywhere (and thus chasing them can make it appear that there are cycles where there are none
// (I think); test2012_234.C demonstrates an example of this.
// DQ (10/9/2012): Robb has suggested this change to fix the binary analysis work.
// if (foundCycle == true)
if (foundCycle == false)
{
while ( (parent != NULL) && (!dynamic_cast<const NodeType*>(parent)) )
{
ROSE_ASSERT(parent->get_parent() != parent);
#if 0
printf ("In getEnclosingNode() (2nd try): parent = %p = %s \n",parent,parent->class_name().c_str());
if (parent->get_file_info() != NULL)
parent->get_file_info()->display("In getEnclosingNode() (2nd try): debug");
#endif
SgDeclarationStatement* declarationStatement = isSgDeclarationStatement(parent);
if (declarationStatement != NULL)
{
#if DEBUG_GET_ENCLOSING_NODE
printf ("Found a SgDeclarationStatement \n");
#endif
SgDeclarationStatement* definingDeclaration = declarationStatement->get_definingDeclaration();
SgDeclarationStatement* firstNondefiningDeclaration = declarationStatement->get_firstNondefiningDeclaration();
#if 0
printf (" --- declarationStatement = %p = %s \n",declarationStatement,(declarationStatement != NULL) ? declarationStatement->class_name().c_str() : "null");
printf (" --- definingDeclaration = %p \n",definingDeclaration);
if (definingDeclaration != NULL && definingDeclaration->get_parent() != NULL)
printf (" --- definingDeclaration ->get_parent() = %p = %s \n",definingDeclaration->get_parent(),definingDeclaration->get_parent()->class_name().c_str());
printf (" --- firstNondefiningDeclaration = %p \n",firstNondefiningDeclaration);
if (firstNondefiningDeclaration != NULL && firstNondefiningDeclaration->get_parent() != NULL)
printf (" --- firstNondefiningDeclaration ->get_parent() = %p = %s \n",firstNondefiningDeclaration->get_parent(),firstNondefiningDeclaration->get_parent()->class_name().c_str());
#endif
if (definingDeclaration != NULL && declarationStatement != firstNondefiningDeclaration)
{
#if 0
printf ("Found a nondefining declaration so use the firstNondefining declaration instead \n");
#endif
// DQ (10/19/2012): Use the defining declaration instead.
// parent = firstNondefiningDeclaration;
parent = definingDeclaration;
}
}
parent = parent->get_parent();
#if 1
// DQ (3/5/2012): Check for loops that will cause infinite loops.
ROSE_ASSERT(parent != previouslySeenParent);
#else
printf ("WARNING::WARNING::WARNING commented out assertion for parent != previouslySeenParent \n");
if (parent == previouslySeenParent)
break;
#endif
}
}
return const_cast<NodeType*>(dynamic_cast<const NodeType*> (parent));
#else /* TOP_LEVEL_IF */
// DQ (10/20/2012): Using Robb's newer version with my modification to use the definingDeclaration rather than firstNondefiningDeclaration (below).
// Find the parent of specified type, but watch out for cycles in the ancestry (which would cause an infinite loop).
// Cast away const because isSg* functions aren't defined for const node pointers; and our return is not const.
SgNode *node = const_cast<SgNode*>(!astNode || includingSelf ? astNode : astNode->get_parent());
std::set<const SgNode*> seen; // nodes we've seen, in order to detect cycles
while (node) {
if (NodeType *found = dynamic_cast<NodeType*>(node))
return found;
// FIXME: Cycle detection could be moved elsewhere so we don't need to do it on every call. [RPM 2012-10-09]
// DQ (12/30/2019): Provide more detail in error message.
if (seen.insert(node).second == false)
{
printf ("Error: node is already in set and defines a cycle: node = %p = %s \n",node,node->class_name().c_str());
std::set<const SgNode*>::const_iterator i = seen.begin();
while (i != seen.end())
{
const SgNode* element = *i;
printf (" --- seen element: element = %p = %s \n",element,element->class_name().c_str());
i++;
}
printf ("Exiting after error! \n");
ROSE_ABORT();
}
// ROSE_ASSERT(seen.insert(node).second);
// Traverse to parent (declaration statements are a special case)
if (SgDeclarationStatement *declarationStatement = isSgDeclarationStatement(node)) {
SgDeclarationStatement *definingDeclaration = declarationStatement->get_definingDeclaration();
SgDeclarationStatement *firstNondefiningDeclaration = declarationStatement->get_firstNondefiningDeclaration();
if (definingDeclaration && firstNondefiningDeclaration && declarationStatement != firstNondefiningDeclaration) {
// DQ (10/19/2012): Use the defining declaration instead.
// node = firstNondefiningDeclaration;
node = definingDeclaration;
}
} else {
node = node->get_parent();
}
}
return NULL;
#endif /* TOP_LEVEL_IF */
}
//! Find enclosing source file node
ROSE_DLL_API SgSourceFile* getEnclosingSourceFile(SgNode* n, const bool includingSelf=false);
//! Get the closest scope from astNode. Return astNode if it is already a scope.
ROSE_DLL_API SgScopeStatement* getScope(const SgNode* astNode);
//! Get the enclosing scope from a node n
ROSE_DLL_API SgScopeStatement* getEnclosingScope(SgNode* n, const bool includingSelf=false);
//! Traverse back through a node's parents to find the enclosing global scope
ROSE_DLL_API SgGlobal* getGlobalScope( const SgNode* astNode);
// DQ (12/7/2020): This is supporting the recognition of functions in header files from two different AST.
//! This is supporting the recognition of functions in header files from two different ASTs
ROSE_DLL_API bool hasSameGlobalScope ( SgStatement* statement_1, SgStatement* statement_2 );
//! Find the function definition
ROSE_DLL_API SgFunctionDefinition* getEnclosingProcedure(SgNode* n, const bool includingSelf=false);
ROSE_DLL_API SgFunctionDefinition* getEnclosingFunctionDefinition(SgNode* astNode, const bool includingSelf=false);
//! Find the closest enclosing statement, including the given node
ROSE_DLL_API SgStatement* getEnclosingStatement(SgNode* n);
//! Find the closest switch outside a given statement (normally used for case and default statements)
ROSE_DLL_API SgSwitchStatement* findEnclosingSwitch(SgStatement* s);
//! Find enclosing OpenMP clause body statement from s. If s is already one, return it directly.
ROSE_DLL_API SgOmpClauseBodyStatement* findEnclosingOmpClauseBodyStatement(SgStatement* s);
//! Find the closest loop outside the given statement; if fortranLabel is not empty, the Fortran label of the loop must be equal to it
ROSE_DLL_API SgScopeStatement* findEnclosingLoop(SgStatement* s, const std::string& fortranLabel = "", bool stopOnSwitches = false);
//! Find the enclosing function declaration, including its derived instances like isSgProcedureHeaderStatement, isSgProgramHeaderStatement, and isSgMemberFunctionDeclaration.
ROSE_DLL_API SgFunctionDeclaration * getEnclosingFunctionDeclaration (SgNode * astNode, const bool includingSelf=false);
//roseSupport/utility_functions.h
//! get the SgFile node from current node
ROSE_DLL_API SgFile* getEnclosingFileNode (SgNode* astNode );
//! Get the initializer containing an expression if it is within an initializer.
ROSE_DLL_API SgInitializer* getInitializerOfExpression(SgExpression* n);
//! Get the closest class definition enclosing the specified AST node,
ROSE_DLL_API SgClassDefinition* getEnclosingClassDefinition(SgNode* astnode, const bool includingSelf=false);
//! Get the closest class declaration enclosing the specified AST node,
ROSE_DLL_API SgClassDeclaration* getEnclosingClassDeclaration( SgNode* astNode );
// DQ (2/7/2019): Adding support for name qualification of variable references associated with SgPointerMemberType function parameters.
//! Get the enclosing SgExprListExp (used as part of function argument index evaluation in subexpressions).
ROSE_DLL_API SgExprListExp* getEnclosingExprListExp(SgNode* astNode, const bool includingSelf = false);
// DQ (2/7/2019): Need a function to return when an expression is in an expression subtree.
// This is part of index evaluation ofr expressions in function argument lists, but likely usefule elsewhere as well.
ROSE_DLL_API bool isInSubTree(SgExpression* subtree, SgExpression* exp);
// DQ (2/7/2019): Need a function to return the SgFunctionDeclaration from a SgFunctionCallExp.
ROSE_DLL_API SgFunctionDeclaration* getFunctionDeclaration ( SgFunctionCallExp* functionCallExp );
// DQ (2/17/2019): Generalizing this support for SgVarRefExp and SgMemberFunctionRefExp nodes.
// DQ (2/8/2019): Adding support for detecting when to use added name qualification for pointer-to-member expressions.
ROSE_DLL_API bool isDataMemberReference(SgVarRefExp* varRefExp);
// ROSE_DLL_API bool isAddressTaken(SgVarRefExp* varRefExp);
ROSE_DLL_API bool isAddressTaken(SgExpression* refExp);
// DQ (2/17/2019): Adding support for detecting when to use added name qualification for membr function references.
ROSE_DLL_API bool isMemberFunctionMemberReference(SgMemberFunctionRefExp* memberFunctionRefExp);
// DQ (2/15/2019): Adding support for detecting which class a member reference is being made from.
// ROSE_DLL_API SgClassType* getClassTypeForDataMemberReference(SgVarRefExp* varRefExp);
// ROSE_DLL_API std::list<SgClassType*> getClassTypeChainForDataMemberReference(SgVarRefExp* varRefExp);
ROSE_DLL_API std::list<SgClassType*> getClassTypeChainForMemberReference(SgExpression* refExp);
ROSE_DLL_API std::set<SgNode*> getFrontendSpecificNodes();
// DQ (2/17/2019): Display the shared nodes in the AST for debugging.
ROSE_DLL_API void outputSharedNodes( SgNode* node );
// DQ (10/31/2020): Added function to help debug edits to statements in scopes.
ROSE_DLL_API void displayScope(SgScopeStatement* scope);
// TODO
#if 0
SgNode * getEnclosingSgNode(SgNode* source,VariantT, SgNode* endNode=NULL);
std::vector<SgNode *> getAllEnclosingSgNode(SgNode* source,VariantT, SgNode* endNode=NULL);
SgVariableDeclaration* findVariableDeclaratin( const string& varname)
SgClassDeclaration* getEnclosingClassDeclaration( const SgNode* astNode);
// e.g. for some expression, find its parent statement
SgStatement* getEnclosingStatement(const SgNode* astNode);
SgSwitchStatement* getEnclosingSwitch(SgStatement* s);
SgModuleStatement* getEnclosingModuleStatement( const SgNode* astNode);
// used to build a variable reference for compiler generated code in current scope
SgSymbol * findReachingDefinition (SgScopeStatement* startScope, SgName &name);
#endif
//@}
//------------------------------------------------------------------------
//@{
/*! @name AST Walk and Traversal
\brief
*/
// Liao, 1/9/2008
/*!
\brief return the first global scope under current project
*/
ROSE_DLL_API SgGlobal * getFirstGlobalScope(SgProject *project);
/*!
\brief get the last statement within a scope, return NULL if it does not exit
*/
ROSE_DLL_API SgStatement* getLastStatement(SgScopeStatement *scope);
//! Get the first statement within a scope, return NULL if it does not exist. Skip compiler-generated statement by default. Count transformation-generated ones, but excluding those which are not to be outputted in unparsers.
ROSE_DLL_API SgStatement* getFirstStatement(SgScopeStatement *scope,bool includingCompilerGenerated=false);
//!Find the first defining function declaration statement in a scope
ROSE_DLL_API SgFunctionDeclaration* findFirstDefiningFunctionDecl(SgScopeStatement* scope);
//! Get next statement within the same scope of current statement
ROSE_DLL_API SgStatement* getNextStatement(SgStatement * currentStmt);
//! Get previous statement of the current statement. It may return a previous statement of a parent scope by default (climbOutScope is true), otherwise only a previous statement of the same scope is returned.
ROSE_DLL_API SgStatement* getPreviousStatement(SgStatement * currentStmt, bool climbOutScope = true);
#if 0 //TODO
// preorder traversal from current SgNode till find next SgNode of type V_SgXXX
SgNode* getNextSgNode( const SgNode* currentNode, VariantT=V_SgNode);
#endif
// DQ (11/15/2018): Adding support for traversals over the include file tree.
//! return path prefix for subtree of include files.
void listHeaderFiles ( SgIncludeFile* includeFile );
//@}
//------------------------------------------------------------------------
//@{
/*! @name AST Comparison
\brief Compare AST nodes, subtree, etc
*/
//! Check if a SgIntVal node has a given value
ROSE_DLL_API bool isEqualToIntConst(SgExpression* e, int value);
//! Check if two function declarations refer to the same one. Two function declarations are the same when they are a) identical, b) same name in C c) same qualified named and mangled name in C++. A nondefining (prototype) declaration and a defining declaration of a same function are treated as the same.
/*!
* There is a similar function bool compareFunctionDeclarations(SgFunctionDeclaration *f1, SgFunctionDeclaration *f2) from Classhierarchy.C
*/
ROSE_DLL_API bool isSameFunction(SgFunctionDeclaration* func1, SgFunctionDeclaration* func2);
//! Check if a statement is the last statement within its closed scope
ROSE_DLL_API bool isLastStatement(SgStatement* stmt);
//@}
//------------------------------------------------------------------------
//@{
/*! @name AST insert, removal, and replacement
\brief Add, remove,and replace AST
scope->append_statement(), exprListExp->append_expression() etc. are not enough to handle side effect of parent pointers, symbol tables, preprocessing info, defining/nondefining pointers etc.
*/
#if 1
struct DeferredTransformation
{
// DQ (11/19/2020): We need to expand the use of this to cover deffered transformations of common SageInterface transformations (e.g. replaceStatement).
// So I needed to move this out of being specific to the outliner and make it more generally data structure in the SageInterface.
// DQ (11/15/2020): Need to add the concept of deffered transformation to cover replaceStatement operations.
// DQ (8/7/2019): Store data required to support defering the transformation to insert the outlined function prototypes
// into class declaration (when this is required to support the outlined function's access to protected or private data members).
// This is part of an optimization to support the optimization of header file unparsing (limiting the overhead of supporting any
// header file to just focus on the few (typically one) header file that would have to be unparsed.
enum TransformationKind
{
// DQ (11/22/2020): Might need to also add SageInterface::addDefaultConstructorIfRequired() and SageStatement::insert_statment()
// to support the processStatements.C transforamtions to pre-process the AST (return expressions and variable initializations).
e_error,
e_default,
e_outliner,
e_replaceStatement,
e_removeStatement,
e_replaceDefiningFunctionDeclarationWithFunctionPrototype,
e_last
};
TransformationKind deferredTransformationKind;
// DQ (12/12/2020): Adding a string label so that we can name the different kinds of transformations.
// E.g. moving pattern matched function from header file to dynamic library, vs. replacing function
// definitions in the dynamic library file with function prototypes.
std::string transformationLabel;
// Remove sets statementToRemove, replace sets statementToRemove and StatementToAdd.
SgStatement* statementToRemove;
SgStatement* statementToAdd;
SgClassDefinition* class_definition;
SgDeclarationStatement* target_class_member;
SgDeclarationStatement* new_function_prototype;
typedef std::set<SgClassDefinition *> ClassDefSet_t;
ClassDefSet_t targetClasses;
typedef std::vector<SgFunctionDeclaration *> FuncDeclList_t;
FuncDeclList_t targetFriends;
// DQ (2/28/2021): Adding support for outlining where it involves building up pre-transformations.
// For example, in the code segregation, we build a conditiona around the interval of statements
// that we are outlining. This conditional is used to overwrite the first statement in the interval
// list. Because we don't want to transform the AST until after the outlining, we need so save the
// whole interval so that we, after the outlining, remove the statements in the interval after that
// first statement.
typedef std::vector<SgStatement*> IntervalType;
IntervalType statementInterval;
SgStatement* locationToOverwriteWithTransformation;
SgStatement* transformationToOverwriteFirstStatementInInterval;
SgBasicBlock* blockOfStatementsToOutline;
// DQ (12/5/2019): Added ROSE_DLL_API prefix for Windows support (too all of these functions).
ROSE_DLL_API DeferredTransformation();
ROSE_DLL_API DeferredTransformation(SgClassDefinition* class_definition, SgDeclarationStatement* target_class_member, SgDeclarationStatement* new_function_prototype);
ROSE_DLL_API DeferredTransformation (const DeferredTransformation& X); //! Copy constructor.
ROSE_DLL_API ~DeferredTransformation (void); //! Shallow; does not delete fields.
ROSE_DLL_API DeferredTransformation & operator= (const DeferredTransformation& X); //! operator=()
// DQ (11/20/20): static function to generate specialized version of deferred transformation object.
static ROSE_DLL_API DeferredTransformation replaceDefiningFunctionDeclarationWithFunctionPrototype( SgFunctionDeclaration* functionDeclaration );
static ROSE_DLL_API DeferredTransformation replaceStatement(SgStatement* oldStmt, SgStatement* newStmt, bool movePreprocessinInfo = false);
static ROSE_DLL_API std::string outputDeferredTransformationKind(const TransformationKind & kind);
ROSE_DLL_API void display ( std::string label ) const;
};
#endif
// DQ (2/24/2009): Simple function to delete an AST subtree (used in outlining).
//! Function to delete AST subtree's nodes only, users must take care of any dangling pointers, symbols or types that result.
ROSE_DLL_API void deleteAST(SgNode* node);
//! Special purpose function for deleting AST expression tress containing valid original expression trees in constant folded expressions (for internal use only).
ROSE_DLL_API void deleteExpressionTreeWithOriginalExpressionSubtrees(SgNode* root);
// DQ (2/25/2009): Added new function to support outliner.
//! Move statements in first block to the second block (preserves order and rebuilds the symbol table).
ROSE_DLL_API void moveStatementsBetweenBlocks ( SgBasicBlock* sourceBlock, SgBasicBlock* targetBlock );
//! Move statements in Ada's package spec into C++ namespace's definition
ROSE_DLL_API void moveStatementsBetweenBlocks ( SgAdaPackageSpec * sourceBlock, SgNamespaceDefinitionStatement* targetBlock );
//! Move statements in Ada's package body into C++ namespace's definition
ROSE_DLL_API void moveStatementsBetweenBlocks ( SgAdaPackageBody* sourceBlock, SgNamespaceDefinitionStatement* targetBlock );
//! Move statements between C++ namespace's definitions
ROSE_DLL_API void moveStatementsBetweenBlocks ( SgNamespaceDefinitionStatement* sourceBlock, SgNamespaceDefinitionStatement* targetBlock );
//! Check if a function declaration is a C++11 lambda function
ROSE_DLL_API bool isLambdaFunction (SgFunctionDeclaration* func);
//! check if a variable reference is this->a[i] inside of a lambda function
ROSE_DLL_API bool isLambdaCapturedVariable (SgVarRefExp* varRef);
//! Move a variable declaration to a new scope, handle symbol, special scopes like For loop, etc.
ROSE_DLL_API void moveVariableDeclaration(SgVariableDeclaration* decl, SgScopeStatement* target_scope);
//! Append a statement to the end of the current scope, handle side effect of appending statements, e.g. preprocessing info, defining/nondefining pointers etc.
ROSE_DLL_API void appendStatement(SgStatement *stmt, SgScopeStatement* scope=NULL);
//! Append a statement to the end of SgForInitStatement
ROSE_DLL_API void appendStatement(SgStatement *stmt, SgForInitStatement* for_init_stmt);
//! Append a list of statements to the end of the current scope, handle side effect of appending statements, e.g. preprocessing info, defining/nondefining pointers etc.
ROSE_DLL_API void appendStatementList(const std::vector<SgStatement*>& stmt, SgScopeStatement* scope=NULL);
// DQ (2/6/2009): Added function to support outlining into separate file.
//! Append a copy ('decl') of a function ('original_statement') into a 'scope', include any referenced declarations required if the scope is within a compiler generated file. All referenced declarations, including those from headers, are inserted if excludeHeaderFiles is set to true (the new file will not have any headers).
ROSE_DLL_API void appendStatementWithDependentDeclaration( SgDeclarationStatement* decl, SgGlobal* scope, SgStatement* original_statement, bool excludeHeaderFiles );
//! Prepend a statement to the beginning of the current scope, handling side
//! effects as appropriate
ROSE_DLL_API void prependStatement(SgStatement *stmt, SgScopeStatement* scope=NULL);
//! Prepend a statement to the beginning of SgForInitStatement
ROSE_DLL_API void prependStatement(SgStatement *stmt, SgForInitStatement* for_init_stmt);
//! prepend a list of statements to the beginning of the current scope,
//! handling side effects as appropriate
ROSE_DLL_API void prependStatementList(const std::vector<SgStatement*>& stmt, SgScopeStatement* scope=NULL);
//! Check if a scope statement has a simple children statement list
//! so insert additional statements under the scope is straightforward and unambiguous .
//! for example, SgBasicBlock has a simple statement list while IfStmt does not.
ROSE_DLL_API bool hasSimpleChildrenList (SgScopeStatement* scope);
//! Insert a statement before or after the target statement within the target's scope. Move around preprocessing info automatically
ROSE_DLL_API void insertStatement(SgStatement *targetStmt, SgStatement* newStmt, bool insertBefore= true, bool autoMovePreprocessingInfo = true);
//! Insert a list of statements before or after the target statement within the
//target's scope
ROSE_DLL_API void insertStatementList(SgStatement *targetStmt, const std::vector<SgStatement*>& newStmts, bool insertBefore= true);
//! Insert a statement before a target statement
ROSE_DLL_API void insertStatementBefore(SgStatement *targetStmt, SgStatement* newStmt, bool autoMovePreprocessingInfo = true);
//! Insert a list of statements before a target statement
ROSE_DLL_API void insertStatementListBefore(SgStatement *targetStmt, const std::vector<SgStatement*>& newStmts);
//! Insert a statement after a target statement, Move around preprocessing info automatically by default
ROSE_DLL_API void insertStatementAfter(SgStatement *targetStmt, SgStatement* newStmt, bool autoMovePreprocessingInfo = true);
//! Insert a list of statements after a target statement
ROSE_DLL_API void insertStatementListAfter(SgStatement *targetStmt, const std::vector<SgStatement*>& newStmt);
//! Insert a statement after the last declaration within a scope. The statement will be prepended to the scope if there is no declaration statement found
ROSE_DLL_API void insertStatementAfterLastDeclaration(SgStatement* stmt, SgScopeStatement* scope);
//! Insert a list of statements after the last declaration within a scope. The statement will be prepended to the scope if there is no declaration statement found
ROSE_DLL_API void insertStatementAfterLastDeclaration(std::vector<SgStatement*> stmt_list, SgScopeStatement* scope);
//! Insert a statement before the first non-declaration statement in a scope. If the scope has no non-declaration statements
// then the statement is inserted at the end of the scope.
ROSE_DLL_API void insertStatementBeforeFirstNonDeclaration(SgStatement *newStmt, SgScopeStatement *scope,
bool movePreprocessingInfo=true);
//! Insert statements before the first non-declaration statement in a scope. If the scope has no non-declaration statements
//then the new statements are inserted at the end of the scope.
ROSE_DLL_API void insertStatementListBeforeFirstNonDeclaration(const std::vector<SgStatement*> &newStmts, SgScopeStatement *scope);
// DQ (11/21/2018): We need to sometimes insert something after the last statement of the collection from rose_edg_required_macros_and_functions.h.
ROSE_DLL_API SgStatement* lastFrontEndSpecificStatement( SgGlobal* globalScope );
//! Remove a statement from its attach point of the AST. Automatically keep its associated preprocessing information at the original place after the removal. The statement is still in memory and it is up to the users to decide if the removed one will be inserted somewhere else or released from memory (deleteAST()).
ROSE_DLL_API void removeStatement(SgStatement* stmt, bool autoRelocatePreprocessingInfo = true);
//! Deep delete a sub AST tree. It uses postorder traversal to delete each child node. Users must take care of any dangling pointers, symbols or types that result. This is identical to deleteAST()
ROSE_DLL_API void deepDelete(SgNode* root);
//! Replace a statement with another. Move preprocessing information from oldStmt to newStmt if requested.
ROSE_DLL_API void replaceStatement(SgStatement* oldStmt, SgStatement* newStmt, bool movePreprocessinInfo = false);
//! Replace an anchor node with a specified pattern subtree with optional SgVariantExpression. All SgVariantExpression in the pattern will be replaced with copies of the anchor node.
ROSE_DLL_API SgNode* replaceWithPattern (SgNode * anchor, SgNode* new_pattern);
//! Replace all variable references to an old symbol in a scope to being references to a new symbol.
// Essentially replace variable a with b.
ROSE_DLL_API void replaceVariableReferences(SgVariableSymbol* old_sym, SgVariableSymbol* new_sym, SgScopeStatement * scope );
// DQ (11/12/2018): Adding test to avoid issues that we can't test for in the unparsing of header files using the token based unparsing.
//! If header file unparsing and token-based unparsing are used, then some statements in header files
//! used with the same name and different include syntax can't be transformed. This is currently because
//! there is no way to generally test the resulting transformed code generated by ROSE.
ROSE_DLL_API bool statementCanBeTransformed(SgStatement* stmt);
/** Given an expression, generates a temporary variable whose initializer optionally evaluates
* that expression. Then, the var reference expression returned can be used instead of the original
* expression. The temporary variable created can be reassigned to the expression by the returned SgAssignOp;
* this can be used when the expression the variable represents needs to be evaluated. NOTE: This handles
* reference types correctly by using pointer types for the temporary.
* @param expression Expression which will be replaced by a variable
* @param scope scope in which the temporary variable will be generated
* @param reEvaluate an assignment op to reevaluate the expression. Leave NULL if not needed
* @return declaration of the temporary variable, and a a variable reference expression to use instead of
* the original expression. */
std::pair<SgVariableDeclaration*, SgExpression* > createTempVariableForExpression(SgExpression* expression,
SgScopeStatement* scope, bool initializeInDeclaration, SgAssignOp** reEvaluate = NULL);
/* This function creates a temporary variable for a given expression in the given scope
This is different from SageInterface::createTempVariableForExpression in that it does not
try to be smart to create pointers to reference types and so on. The tempt is initialized to expression.
The caller is responsible for setting the parent of SgVariableDeclaration since buildVariableDeclaration
may not set_parent() when the scope stack is empty. See programTransformation/extractFunctionArgumentsNormalization/ExtractFunctionArguments.C for sample usage.
@param expression Expression which will be replaced by a variable
@param scope scope in which the temporary variable will be generated
*/
std::pair<SgVariableDeclaration*, SgExpression*> createTempVariableAndReferenceForExpression
(SgExpression* expression, SgScopeStatement* scope);
//! Append an argument to SgFunctionParameterList, transparently set parent,scope, and symbols for arguments when possible
/*! We recommend to build SgFunctionParameterList before building a function declaration
However, it is still allowed to append new arguments for existing function declarations.
\todo function type , function symbol also need attention.
*/
ROSE_DLL_API SgVariableSymbol* appendArg(SgFunctionParameterList *, SgInitializedName*);
//!Prepend an argument to SgFunctionParameterList
ROSE_DLL_API SgVariableSymbol* prependArg(SgFunctionParameterList *, SgInitializedName*);
//! Append an expression to a SgExprListExp, set the parent pointer also
ROSE_DLL_API void appendExpression(SgExprListExp *, SgExpression*);
//! Append an expression list to a SgExprListExp, set the parent pointers also
ROSE_DLL_API void appendExpressionList(SgExprListExp *, const std::vector<SgExpression*>&);
//! Set parameter list for a function declaration, considering existing parameter list etc.
template <class actualFunction>
void setParameterList(actualFunction *func,SgFunctionParameterList *paralist) {
// TODO consider the difference between C++ and Fortran
// fixup the scope of arguments,no symbols for nondefining function declaration's arguments
// DQ (11/25/2011): templated function so that we can handle both
// SgFunctionDeclaration and SgTemplateFunctionDeclaration (and their associated member
// function derived classes).
ROSE_ASSERT(func != NULL);
ROSE_ASSERT(paralist != NULL);
#if 0
// At this point we don't have cerr and endl defined, so comment this code out.
// Warn to users if a paralist is being shared
if (paralist->get_parent() !=NULL)
{
cerr << "Waring! Setting a used SgFunctionParameterList to function: "
<< (func->get_name()).getString()<<endl
<< " Sharing parameter lists can corrupt symbol tables!"<<endl
<< " Please use deepCopy() to get an exclusive parameter list for each function declaration!"<<endl;
// ROSE_ASSERT(false);
}
#endif
// Liao,2/5/2008 constructor of SgFunctionDeclaration will automatically generate SgFunctionParameterList, so be cautious when set new paralist!!
if (func->get_parameterList() != NULL)
{
if (func->get_parameterList() != paralist)
{
delete func->get_parameterList();
}
}
func->set_parameterList(paralist);
paralist->set_parent(func);
if (SageInterface::is_Ada_language())
{
// Ada stores variable declarations in the function parameter scope (for functions)
// and in a discriminantScope (for discriminated declarations).
// ==> just make sure that these are set.
SgInitializedNamePtrList& args = paralist->get_args();
for (SgInitializedNamePtrList::iterator i = args.begin(); i != args.end(); ++i)
{
ROSE_ASSERT(*i && isSgVariableDeclaration((*i)->get_declptr()));
}
}
else
{
// DQ (5/15/2012): Need to set the declptr in each SgInitializedName IR node.
// This is needed to support the AST Copy mechanism (at least). The files: test2005_150.C,
// test2012_81.C and testcode2012_82.C demonstrate this problem.
SgInitializedNamePtrList & args = paralist->get_args();
for (SgInitializedNamePtrList::iterator i = args.begin(); i != args.end(); i++)
{
(*i)->set_declptr(func);
}
}
}
//! Set a pragma of a pragma declaration. handle memory release for preexisting pragma, and set parent pointer.
ROSE_DLL_API void setPragma(SgPragmaDeclaration* decl, SgPragma *pragma);
//! Replace an expression with another, used for variable reference substitution and others. the old expression can be deleted (default case) or kept.
ROSE_DLL_API void replaceExpression(SgExpression* oldExp, SgExpression* newExp, bool keepOldExp=false);
//! Replace a given expression with a list of statements produced by a generator
ROSE_DLL_API void replaceExpressionWithStatement(SgExpression* from,
SageInterface::StatementGenerator* to);
//! Similar to replaceExpressionWithStatement, but with more restrictions.
//! Assumptions: from is not within the test of a loop or ifStmt, not currently traversing from or the statement it is in
ROSE_DLL_API void replaceSubexpressionWithStatement(SgExpression* from,
SageInterface::StatementGenerator* to);
//! Set operands for expressions with single operand, such as unary expressions. handle file info, lvalue, pointer downcasting, parent pointer etc.
ROSE_DLL_API void setOperand(SgExpression* target, SgExpression* operand);
//!set left hand operand for binary expressions, transparently downcasting target expressions when necessary
ROSE_DLL_API void setLhsOperand(SgExpression* target, SgExpression* lhs);
//!set left hand operand for binary expression
ROSE_DLL_API void setRhsOperand(SgExpression* target, SgExpression* rhs);
//! Set original expression trees to NULL for SgValueExp or SgCastExp expressions, so you can change the value and have it unparsed correctly.
ROSE_DLL_API void removeAllOriginalExpressionTrees(SgNode* top);
// DQ (1/25/2010): Added support for directories
//! Move file to be generated in a subdirectory (will be generated by the unparser).
ROSE_DLL_API void moveToSubdirectory ( std::string directoryName, SgFile* file );
//! Supporting function to comment relocation in insertStatement() and removeStatement().
ROSE_DLL_API SgStatement* findSurroundingStatementFromSameFile(SgStatement* targetStmt, bool & surroundingStatementPreceedsTargetStatement);
//! Relocate comments and CPP directives from one statement to another.
ROSE_DLL_API void moveCommentsToNewStatement(SgStatement* sourceStatement, const std::vector<int> & indexList, SgStatement* targetStatement, bool surroundingStatementPreceedsTargetStatement);
// DQ (7/19/2015): This is required to support general unparsing of template instantations for the GNU g++
// compiler which does not permit name qualification to be used to support the expression of the namespace
// where a template instantiatoon would be places. Such name qualification would also sometimes require
// global qualification which is also not allowed by the GNU g++ compiler. These issues appear to be
// specific to the GNU compiler versions, at least versions 4.4 through 4.8.
//! Relocate the declaration to be explicitly represented in its associated namespace (required for some backend compilers to process template instantiations).
ROSE_DLL_API void moveDeclarationToAssociatedNamespace ( SgDeclarationStatement* declarationStatement );
ROSE_DLL_API bool isTemplateInstantiationNode(SgNode* node);
ROSE_DLL_API void wrapAllTemplateInstantiationsInAssociatedNamespaces(SgProject* root);
// DQ (12/1/2015): Adding support for fixup internal data struuctures that have references to statements (e.g. macro expansions).
ROSE_DLL_API void resetInternalMapsForTargetStatement(SgStatement* sourceStatement);
// DQ (6/7/2019): Add support for transforming function definitions to function prototypes in a subtree.
// We might have to make this specific to a file (only traversing the functions in that file).
/*!\brief XXX
* This function operates on the new file used to support outlined function definitions.
* We use a copy of the file where the code will be outlined FROM, so that if there are references to
* declarations in the outlined code we can support the outpiled code with those references. This
* approach has the added advantage of also supporting the same include file tree as the original
* file where the outlined code is being taken from.
*/
ROSE_DLL_API void convertFunctionDefinitionsToFunctionPrototypes(SgNode* node);
// DQ (11/10/2019): Lower level support for convertFunctionDefinitionsToFunctionPrototypes().
// DQ (10/27/2020): Need to return the generated function prototype (incase we want to mark it for output or template unparsing from the AST).
// ROSE_DLL_API void replaceDefiningFunctionDeclarationWithFunctionPrototype ( SgFunctionDeclaration* functionDeclaration );
// ROSE_DLL_API SgDeclarationStatement* replaceDefiningFunctionDeclarationWithFunctionPrototype ( SgFunctionDeclaration* functionDeclaration );
ROSE_DLL_API SgFunctionDeclaration* replaceDefiningFunctionDeclarationWithFunctionPrototype ( SgFunctionDeclaration* functionDeclaration );
ROSE_DLL_API std::vector<SgFunctionDeclaration*> generateFunctionDefinitionsList(SgNode* node);
// DQ (10/29/2020): build a function prototype for all but member functions outside of the class (except for template instantiations).
// The reason why member functions outside of the class are an exception is because they can not be used except in a class and there
// would already be one present for the code to compile.
ROSE_DLL_API SgFunctionDeclaration* buildFunctionPrototype ( SgFunctionDeclaration* functionDeclaration );
//@}
//------------------------------------------------------------------------
//@{
/*! @name AST repair, fix, and postprocessing.
\brief Mostly used internally when some AST pieces are built without knowing their target
scope/parent, especially during bottom-up construction of AST. The associated symbols,
parent and scope pointers cannot be set on construction then.
A set of utility functions are provided to
patch up scope, parent, symbol for them when the target scope/parent become know.
*/
//! Connect variable reference to the right variable symbols when feasible, return the number of references being fixed.
/*! In AST translation, it is possible to build a variable reference before the variable
is being declared. buildVarRefExp() will use fake initialized name and symbol as placeholders
to get the work done. Users should call fixVariableReference() when AST is complete and all
variable declarations are in place.
*/
ROSE_DLL_API int fixVariableReferences(SgNode* root, bool cleanUnusedSymbol=true);
//!Patch up symbol, scope, and parent information when a SgVariableDeclaration's scope is known.
/*!
It is possible to build a variable declaration without knowing its scope information during bottom-up construction of AST, though top-down construction is recommended in general.
In this case, we have to patch up symbol table, scope and parent information when the scope is known. This function is usually used internally within appendStatment(), insertStatement().
*/
ROSE_DLL_API void fixVariableDeclaration(SgVariableDeclaration* varDecl, SgScopeStatement* scope);
//! Fix symbols, parent and scope pointers. Used internally within appendStatment(), insertStatement() etc when a struct declaration was built without knowing its target scope.
ROSE_DLL_API void fixStructDeclaration(SgClassDeclaration* structDecl, SgScopeStatement* scope);
//! Fix symbols, parent and scope pointers. Used internally within appendStatment(), insertStatement() etc when a class declaration was built without knowing its target scope.
ROSE_DLL_API void fixClassDeclaration(SgClassDeclaration* classDecl, SgScopeStatement* scope);
//! Fix symbols, parent and scope pointers. Used internally within appendStatment(), insertStatement() etc when a namespace declaration was built without knowing its target scope.
ROSE_DLL_API void fixNamespaceDeclaration(SgNamespaceDeclarationStatement* structDecl, SgScopeStatement* scope);
//! Fix symbol table for SgLabelStatement. Used Internally when the label is built without knowing its target scope. Both parameters cannot be NULL.
ROSE_DLL_API void fixLabelStatement(SgLabelStatement* label_stmt, SgScopeStatement* scope);
//! Set a numerical label for a Fortran statement. The statement should have a enclosing function definition already. SgLabelSymbol and SgLabelRefExp are created transparently as needed.
ROSE_DLL_API void setFortranNumericLabel(SgStatement* stmt, int label_value,
SgLabelSymbol::label_type_enum label_type=SgLabelSymbol::e_start_label_type,
SgScopeStatement* label_scope=NULL);
//! Suggest next usable (non-conflicting) numeric label value for a Fortran function definition scope
ROSE_DLL_API int suggestNextNumericLabel(SgFunctionDefinition* func_def);
//! Fix the symbol table and set scope (only if scope in declaration is not already set).
ROSE_DLL_API void fixFunctionDeclaration(SgFunctionDeclaration* stmt, SgScopeStatement* scope);
//! Fix the symbol table and set scope (only if scope in declaration is not already set).
ROSE_DLL_API void fixTemplateDeclaration(SgTemplateDeclaration* stmt, SgScopeStatement* scope);
//! A wrapper containing fixes (fixVariableDeclaration(),fixStructDeclaration(), fixLabelStatement(), etc) for all kinds statements. Should be used before attaching the statement into AST.
ROSE_DLL_API void fixStatement(SgStatement* stmt, SgScopeStatement* scope);
// DQ (6/11/2015): This reports the statements that are marked as transformed (used to debug the token-based unparsing).
//! This collects the statements that are marked as transformed (useful in debugging).
ROSE_DLL_API std::set<SgStatement*> collectTransformedStatements( SgNode* node );
//! This collects the statements that are marked as modified (a flag automatically set by all set_* generated functions) (useful in debugging).
ROSE_DLL_API std::set<SgStatement*> collectModifiedStatements( SgNode* node );
//! This collects the SgLocatedNodes that are marked as modified (a flag automatically set by all set_* generated functions) (useful in debugging).
ROSE_DLL_API std::set<SgLocatedNode*> collectModifiedLocatedNodes( SgNode* node );
// DQ (6/5/2019): Use the previously constructed set (above) to reset the IR nodes to be marked as isModified.
//! Use the set of IR nodes and set the isModified flag in each IR node to true.
ROSE_DLL_API void resetModifiedLocatedNodes(const std::set<SgLocatedNode*> & modifiedNodeSet);
// DQ (10/23/2018): Report nodes that are marked as modified.
ROSE_DLL_API void reportModifiedStatements(const std::string & label, SgNode* node);
// DQ (3/22/2019): Translate CPP directives from attached preprocessor information to CPP Directive Declaration IR nodes.
ROSE_DLL_API void translateToUseCppDeclarations( SgNode* n );
ROSE_DLL_API void translateScopeToUseCppDeclarations( SgScopeStatement* scope );
ROSE_DLL_API std::vector<SgC_PreprocessorDirectiveStatement*> translateStatementToUseCppDeclarations( SgStatement* statement, SgScopeStatement* scope);
ROSE_DLL_API void printOutComments ( SgLocatedNode* locatedNode );
ROSE_DLL_API bool skipTranslateToUseCppDeclaration( PreprocessingInfo* currentPreprocessingInfo );
// DQ (12/2/2019): Debugging support.
ROSE_DLL_API void outputFileIds( SgNode* node );
//@}
//! Update defining and nondefining links due to a newly introduced function declaration. Should be used after inserting the function into a scope.
/*! This function not only set the defining and nondefining links of the newly introduced
* function declaration inside a scope, but also update other same function declarations' links
* accordingly if there are any.
* Assumption: The function has already inserted/appended/prepended into the scope before calling this function.
*/
ROSE_DLL_API void updateDefiningNondefiningLinks(SgFunctionDeclaration* func, SgScopeStatement* scope);
//------------------------------------------------------------------------
//@{
/*! @name Advanced AST transformations, analyses, and optimizations
\brief Some complex but commonly used AST transformations.
*/
//! Collect all read and write references within stmt, which can be a function, a scope statement, or a single statement. Note that a reference can be both read and written, like i++
ROSE_DLL_API bool
collectReadWriteRefs(SgStatement* stmt, std::vector<SgNode*>& readRefs, std::vector<SgNode*>& writeRefs, bool useCachedDefUse=false);
//!Collect unique variables which are read or written within a statement. Note that a variable can be both read and written. The statement can be either of a function, a scope, or a single line statement. For accesses to members of aggregate data, we return the coarse grain aggregate mem obj by default.
ROSE_DLL_API bool collectReadWriteVariables(SgStatement* stmt, std::set<SgInitializedName*>& readVars, std::set<SgInitializedName*>& writeVars, bool coarseGrain=true);
//!Collect read only variables within a statement. The statement can be either of a function, a scope, or a single line statement. For accesses to members of aggregate data, we return the coarse grain aggregate mem obj by default.
ROSE_DLL_API void collectReadOnlyVariables(SgStatement* stmt, std::set<SgInitializedName*>& readOnlyVars, bool coarseGrain=true);
//!Collect read only variable symbols within a statement. The statement can be either of a function, a scope, or a single line statement. For accesses to members of aggregate data, we return the coarse grain aggregate mem obj by default.
ROSE_DLL_API void collectReadOnlySymbols(SgStatement* stmt, std::set<SgVariableSymbol*>& readOnlySymbols, bool coarseGrain=true);
//! Check if a variable reference is used by its address: including &a expression and foo(a) when type2 foo(Type& parameter) in C++
ROSE_DLL_API bool isUseByAddressVariableRef(SgVarRefExp* ref);
//! Collect variable references involving use by address: including &a expression and foo(a) when type2 foo(Type& parameter) in C++
ROSE_DLL_API void collectUseByAddressVariableRefs (const SgStatement* s, std::set<SgVarRefExp* >& varSetB);
#ifndef ROSE_USE_INTERNAL_FRONTEND_DEVELOPMENT
//!Call liveness analysis on an entire project
ROSE_DLL_API LivenessAnalysis * call_liveness_analysis(SgProject* project, bool debug=false);
//!get liveIn and liveOut variables for a for loop from liveness analysis result liv.
ROSE_DLL_API void getLiveVariables(LivenessAnalysis * liv, SgForStatement* loop, std::set<SgInitializedName*>& liveIns, std::set<SgInitializedName*> & liveOuts);
#endif
//!Recognize and collect reduction variables and operations within a C/C++ loop, following OpenMP 3.0 specification for allowed reduction variable types and operation types.
ROSE_DLL_API void ReductionRecognition(SgForStatement* loop, std::set< std::pair <SgInitializedName*, OmpSupport::omp_construct_enum> > & results);
//! Constant folding an AST subtree rooted at 'r' (replacing its children with their constant values, if applicable). Please be advised that constant folding on floating point computation may decrease the accuracy of floating point computations!
/*! It is a wrapper function for ConstantFolding::constantFoldingOptimization(). Note that only r's children are replaced with their corresponding constant values, not the input SgNode r itself. You have to call this upon an expression's parent node if you want to fold the expression. */
ROSE_DLL_API void constantFolding(SgNode* r);
//!Instrument(Add a statement, often a function call) into a function right before the return points, handle multiple return statements (with duplicated statement s) and return expressions with side effects. Return the number of statements inserted.
/*! Useful when adding a runtime library call to terminate the runtime system right before the end of a program, especially for OpenMP and UPC runtime systems. Return with complex expressions with side effects are rewritten using an additional assignment statement.
*/
ROSE_DLL_API int instrumentEndOfFunction(SgFunctionDeclaration * func, SgStatement* s);
//! Remove jumps whose label is immediately after the jump. Used to clean up inlined code fragments.
ROSE_DLL_API void removeJumpsToNextStatement(SgNode*);
//! Remove labels which are not targets of any goto statements: its child statement is also removed by default.
ROSE_DLL_API void removeUnusedLabels(SgNode* top, bool keepChild =false);
//! Find unused labels which are not targets of any goto statements
ROSE_DLL_API std::set<SgLabelStatement*> findUnusedLabels (SgNode* top);
//! Remove consecutive labels
ROSE_DLL_API void removeConsecutiveLabels(SgNode* top);
//! Merge a variable assignment statement into a matching variable declaration statement. Callers should make sure the merge is semantically correct (by not introducing compilation errors). This function simply does the merge transformation, without eligibility check.
/*!
* e.g. int i; i=10; becomes int i=10; the original i=10 will be deleted after the merge
* if success, return true, otherwise return false (e.g. variable declaration does not match or already has an initializer)
* The original assignment stmt will be removed by default
* This function is a bit ambiguous about the merge direction, to be phased out.
*/
ROSE_DLL_API bool mergeDeclarationAndAssignment (SgVariableDeclaration* decl, SgExprStatement* assign_stmt, bool removeAssignStmt = true);
//! Merge an assignment into its upstream declaration statement. Callers should make sure the merge is semantically correct.
ROSE_DLL_API bool mergeAssignmentWithDeclaration (SgExprStatement* assign_stmt, SgVariableDeclaration* decl, bool removeAssignStmt = true);
//! Merge a declaration statement into a matching followed variable assignment. Callers should make sure the merge is semantically correct (by not introducing compilation errors). This function simply does the merge transformation, without eligibility check.
/*!
* e.g. int i; i=10; becomes int i=10; the original int i; will be deleted after the merge
*/
ROSE_DLL_API bool mergeDeclarationWithAssignment (SgVariableDeclaration* decl, SgExprStatement* assign_stmt);
//! Split a variable declaration with an rhs assignment into two statements: a declaration and an assignment.
/*! Return the generated assignment statement, if any
* e.g. int i =10; becomes int i; i=10;
* This can be seen as a normalization of declarations
*/
ROSE_DLL_API SgExprStatement* splitVariableDeclaration (SgVariableDeclaration* decl);
//! Split declarations within a scope into declarations and assignment statements, by default only top level declarations are considered. Return the number of declarations split.
ROSE_DLL_API int splitVariableDeclaration (SgScopeStatement* scope, bool topLevelOnly = true);
//! Replace an expression with a temporary variable and an assignment statement
/*!
Add a new temporary variable to contain the value of 'from'.
Change reference to 'from' to use this new variable.
Assumptions: (1)'from' is not within the test of a loop or 'if';
(2)not currently traversing 'from' or the statement it is in.
Return value: the new temp variable declaration's assign initializer containing the from expression.
*/
ROSE_DLL_API SgAssignInitializer* splitExpression(SgExpression* from, std::string newName = "");
//! Split long expressions into blocks of statements
ROSE_DLL_API void splitExpressionIntoBasicBlock(SgExpression* expr);
//! Remove labeled goto statements
ROSE_DLL_API void removeLabeledGotos(SgNode* top);
//! If the given statement contains any break statements in its body, add a new label below the statement and change the breaks into gotos to that new label.
ROSE_DLL_API void changeBreakStatementsToGotos(SgStatement* loopOrSwitch);
//! Check if the body of a 'for' statement is a SgBasicBlock, create one if not.
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsBodyOfFor(SgForStatement* fs);
//! Check if the body of a 'upc_forall' statement is a SgBasicBlock, create one if not.
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsBodyOfUpcForAll(SgUpcForAllStatement* fs);
//! Check if the body of a 'while' statement is a SgBasicBlock, create one if not.
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsBodyOfWhile(SgWhileStmt* ws);
//! Check if the body of a 'do .. while' statement is a SgBasicBlock, create one if not.
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsBodyOfDoWhile(SgDoWhileStmt* ws);
//! Check if the body of a 'switch' statement is a SgBasicBlock, create one if not.
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsBodyOfSwitch(SgSwitchStatement* ws);
//! Check if the body of a 'case option' statement is a SgBasicBlock, create one if not.
SgBasicBlock* ensureBasicBlockAsBodyOfCaseOption(SgCaseOptionStmt* cs);
//! Check if the body of a 'default option' statement is a SgBasicBlock, create one if not.
SgBasicBlock* ensureBasicBlockAsBodyOfDefaultOption(SgDefaultOptionStmt * cs);
//! Check if the true body of a 'if' statement is a SgBasicBlock, create one if not.
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsTrueBodyOfIf(SgIfStmt* ifs);
//! Check if the false body of a 'if' statement is a SgBasicBlock, create one if not when the flag is true.
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsFalseBodyOfIf(SgIfStmt* ifs, bool createEmptyBody = true);
//! Check if the body of a 'catch' statement is a SgBasicBlock, create one if not.
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsBodyOfCatch(SgCatchOptionStmt* cos);
//! Check if the body of a SgOmpBodyStatement is a SgBasicBlock, create one if not
ROSE_DLL_API SgBasicBlock* ensureBasicBlockAsBodyOfOmpBodyStmt(SgOmpBodyStatement* ompbodyStmt);
// DQ (1/18/2015): This is added to support better quality token-based unparsing.
//! Remove unused basic block IR nodes added as part of normalization.
ROSE_DLL_API void cleanupNontransformedBasicBlockNode();
// DQ (1/18/2015): This is added to support better quality token-based unparsing.
//! Record where normalization have been done so that we can preform denormalizations as required for the token-based unparsing to generate minimal diffs.
ROSE_DLL_API void recordNormalizations(SgStatement* s);
//! Check if a statement is a (true or false) body of a container-like parent, such as For, Upc_forall, Do-while,
//! switch, If, Catch, OmpBodyStmt, etc
bool isBodyStatement (SgStatement* s);
//! Fix up ifs, loops, while, switch, Catch, OmpBodyStatement, etc. to have blocks as body components. It also adds an empty else body to if statements that don't have them.
void changeAllBodiesToBlocks(SgNode* top, bool createEmptyBody = true);
// The same as changeAllBodiesToBlocks(SgNode* top). Phased out.
//void changeAllLoopBodiesToBlocks(SgNode* top);
//! Make a single statement body to be a basic block. Its parent is if, while, catch, or upc_forall etc.
SgBasicBlock * makeSingleStatementBodyToBlock(SgStatement* singleStmt);
#if 0
/** If s is the body of a loop, catch, or if statement and is already a basic block,
* s is returned unmodified. Otherwise generate a SgBasicBlock between s and its parent
* (a loop, catch, or if statement, etc). */
SgLocatedNode* ensureBasicBlockAsParent(SgStatement* s);
#endif
//! Get the constant value from a constant integer expression; abort on
//! everything else. Note that signed long longs are converted to unsigned.
unsigned long long getIntegerConstantValue(SgValueExp* expr);
//! Get a statement's dependent declarations which declares the types used in the statement. The returned vector of declaration statements are sorted according to their appearance order in the original AST. Any reference to a class or template class from a namespace will treated as a reference to the enclosing namespace.
std::vector<SgDeclarationStatement*> getDependentDeclarations (SgStatement* stmt );
//! Insert an expression (new_exp )before another expression (anchor_exp) has possible side effects, without changing the original semantics. This is achieved by using a comma operator: (new_exp, anchor_exp). The comma operator is returned.
SgCommaOpExp *insertBeforeUsingCommaOp (SgExpression* new_exp, SgExpression* anchor_exp);
//! Insert an expression (new_exp ) after another expression (anchor_exp) has possible side effects, without changing the original semantics. This is done by using two comma operators: type T1; ... ((T1 = anchor_exp, new_exp),T1) )... , where T1 is a temp variable saving the possible side effect of anchor_exp. The top level comma op exp is returned. The reference to T1 in T1 = anchor_exp is saved in temp_ref.
SgCommaOpExp *insertAfterUsingCommaOp (SgExpression* new_exp, SgExpression* anchor_exp, SgStatement** temp_decl = NULL, SgVarRefExp** temp_ref = NULL);
/// \brief moves the body of a function f to a new function f`;
/// f's body is replaced with code that forwards the call to f`.
/// \return a pair indicating the statement containing the call of f`
/// and an initialized name refering to the temporary variable
/// holding the result of f`. In case f returns void
/// the initialized name is NULL.
/// \param definingDeclaration the defining function declaration of f
/// \param newName the name of function f`
/// \details f's new body becomes { f`(...); } and { int res = f`(...); return res; }
/// for functions returning void and a value, respectively.
/// two function declarations are inserted in f's enclosing scope
/// \code
/// result_type f`(...); <--- (1)
/// result_type f (...) { forward call to f` }
/// result_type f`(...) { original code } <--- (2)
/// \endcode
/// Calls to f are not updated, thus in the transformed code all
/// calls will continue calling f (this is also true for
/// recursive function calls from within the body of f`).
/// After the function has created the wrapper,
/// definingDeclaration becomes the wrapper function
/// The definition of f` is the next entry in the
/// statement list; the forward declaration of f` is the previous
/// entry in the statement list.
/// \pre definingDeclaration must be a defining declaration of a
/// free standing function.
/// typeid(SgFunctionDeclaration) == typeid(definingDeclaration)
/// i.e., this function is NOT implemented for class member functions,
/// template functions, procedures, etc.
std::pair<SgStatement*, SgInitializedName*>
wrapFunction(SgFunctionDeclaration& definingDeclaration, SgName newName);
/// \overload
/// \tparam NameGen functor that generates a new name based on the old name.
/// interface: SgName nameGen(const SgName&)
/// \param nameGen name generator
/// \brief see wrapFunction for details
template <class NameGen>
std::pair<SgStatement*, SgInitializedName*>
wrapFunction(SgFunctionDeclaration& definingDeclaration, NameGen nameGen)
{
return wrapFunction(definingDeclaration, nameGen(definingDeclaration.get_name()));
}
/// \brief convenience function that returns the first initialized name in a
/// list of variable declarations.
SgInitializedName& getFirstVariable(SgVariableDeclaration& vardecl);
//@}
// DQ (6/7/2012): Unclear where this function should go...
bool hasTemplateSyntax( const SgName & name );
#if 0
//------------------------AST dump, stringify-----------------------------
//------------------------------------------------------------------------
std::string buildOperatorString ( SgNode* astNode ); //transformationSupport.h
// do we need these?
std::string dump_node(const SgNode* astNode);
std::string dump_tree(const SgNode* astNode);
// or a friendly version of unparseToString(), as a memeber function
std::string SgNode::toString(bool asSubTree=true); // dump node or subtree
//----------------------------AST comparison------------------------------
//------------------------------------------------------------------------
// How to get generic functions for comparison?
bool isNodeEqual(SgNode* node1, SgNode* node2); //?
bool isTreeEqual(SgNode* tree1, SgNode* tree2);
//! Are two expressions equal (using a deep comparison)?
bool expressionTreeEqual(SgExpression*, SgExpression*);
//! Are corresponding expressions in two lists equal (using a deep comparison)?
bool expressionTreeEqualStar(const SgExpressionPtrList&,
const SgExpressionPtrList&);
//----------------------AST verfication/repair----------------------------
//------------------------------------------------------------------------
// sanity check of AST subtree, any suggestions?
// TODO
verifySgNode(SgNode* node, bool subTree=true);
//src/midend/astDiagnostics/AstConsistencyTests.h
// AstTests::runAllTests(SgProject * )
//src/midend/astUtil/astInterface/AstInterface.h.C
//FixSgProject(SgProject &project)
//FixSgTree(SgNode* r)
//src/frontend/SageIII/astPostProcessing
//AstPostProcessing(SgNode * node)
//--------------------------AST modification------------------------------
//------------------------------------------------------------------------
// any operations changing AST tree, including
// insert, copy, delete(remove), replace
// insert before or after some point, argument list is consistent with LowLevelRewrite
void insertAst(SgNode* targetPosition, SgNode* newNode, bool insertBefore=true);
// previous examples
//void myStatementInsert(SgStatement* target,...)
// void AstInterfaceBase::InsertStmt(AstNodePtr const & orig, AstNodePtr const &n, bool insertbefore, bool extractfromBasicBlock)
// copy
// copy children of one basic block to another basic block
//void appendStatementCopy (const SgBasicBlock* a, SgBasicBlock* b);
void copyStatements (const SgBasicBlock* src, SgBasicBlock* dst);
// delete (remove) a node or a whole subtree
void removeSgNode(SgNode* targetNode); // need this?
void removeSgNodeTree(SgNode* subtree); // need this?
void removeStatement( SgStatement* targetStmt);
//Move = delete + insert
void moveAst (SgNode* src, SgNode* target); // need this?
// similar to
void moveStatements (SgBasicBlock* src, SgBasicBlock* target);
// replace= delete old + insert new (via building or copying)
// DQ (1/25/2010): This does not appear to exist as a definition anywhere in ROSE.
// void replaceAst(SgNode* oldNode, SgNode* newNode);
//void replaceChild(SgNode* parent, SgNode* from, SgNode* to);
//bool AstInterface::ReplaceAst( const AstNodePtr& orig, const AstNodePtr& n)
//--------------------------AST transformations---------------------------
//------------------------------------------------------------------------
// Advanced AST modifications through basic AST modifications
// Might not be included in AST utitlity list, but listed here for the record.
// extract statements/content from a scope
void flattenBlocks(SgNode* n);
//src/midend/astInlining/inlinerSupport.h
void renameVariables(SgNode* n);
void renameLabels(SgNode* n, SgFunctionDefinition* enclosingFunctionDefinition);
void simpleCopyAndConstantPropagation(SgNode* top);
void changeAllMembersToPublic(SgNode* n);
void removeVariableDeclaration(SgInitializedName* initname);
//! Convert something like "int a = foo();" into "int a; a = foo();"
SgAssignOp* convertInitializerIntoAssignment(SgAssignInitializer* init);
//! Rewrites a while or for loop so that the official test is changed to
//! "true" and what had previously been the test is now an if-break
//! combination (with an inverted condition) at the beginning of the loop
//! body
void pushTestIntoBody(LoopStatement* loopStmt);
//programTransformation/finiteDifferencing/finiteDifferencing.h
//! Move variables declared in a for statement to just outside that statement.
void moveForDeclaredVariables(SgNode* root);
//------------------------ Is/Has functions ------------------------------
//------------------------------------------------------------------------
// misc. boolean functions
// some of them could moved to SgXXX class as a member function
bool isOverloaded (SgFunctionDeclaration * functionDeclaration);
bool isSwitchCond (const SgStatement* s);
bool isIfCond (const SgStatement* s);
bool isWhileCond (const SgStatement* s);
bool isStdNamespace (const SgScopeStatement* scope);
bool isTemplateInst (const SgDeclarationStatement* decl);
bool isCtor (const SgFunctionDeclaration* func);
bool isDtor (const SgFunctionDeclaration* func);
// src/midend/astInlining/typeTraits.h
bool hasTrivialDestructor(SgType* t);
ROSE_DLL_API bool isNonconstReference(SgType* t);
ROSE_DLL_API bool isReferenceType(SgType* t);
// generic ones, or move to the SgXXX class as a member function
bool isConst(SgNode* node); // const type, variable, function, etc.
// .... and more
bool isConstType (const SgType* type);
bool isConstFunction (const SgFunctionDeclaration* decl);
bool isMemberVariable(const SgInitializedName & var);
//bool isMemberVariable(const SgNode& in);
bool isPrototypeInScope (SgScopeStatement * scope,
SgFunctionDeclaration * functionDeclaration,
SgDeclarationStatement * startingAtDeclaration);
bool MayRedefined(SgExpression* expr, SgNode* root);
// bool isPotentiallyModified(SgExpression* expr, SgNode* root); // inlinderSupport.h
bool hasAddressTaken(SgExpression* expr, SgNode* root);
//src/midend/astInlining/inlinerSupport.C
// can also classified as topdown search
bool containsVariableReference(SgNode* root, SgInitializedName* var);
bool isDeclarationOf(SgVariableDeclaration* decl, SgInitializedName* var);
bool isPotentiallyModifiedDuringLifeOf(SgBasicBlock* sc,
SgInitializedName* toCheck,
SgInitializedName* lifetime)
//src/midend/programTransformation/partialRedundancyElimination/pre.h
bool anyOfListPotentiallyModifiedIn(const std::vector<SgVariableSymbol*>& syms, SgNode* n);
//------------------------ loop handling ---------------------------------
//------------------------------------------------------------------------
//get and set loop control expressions
// 0: init expr, 1: condition expr, 2: stride expr
SgExpression* getForLoopTripleValues(int valuetype,SgForStatement* forstmt );
int setForLoopTripleValues(int valuetype,SgForStatement* forstmt, SgExpression* exp);
bool isLoopIndexVarRef(SgForStatement* forstmt, SgVarRefExp *varref);
SgInitializedName * getLoopIndexVar(SgForStatement* forstmt);
//------------------------expressions-------------------------------------
//------------------------------------------------------------------------
//src/midend/programTransformation/partialRedundancyElimination/pre.h
int countComputationsOfExpressionIn(SgExpression* expr, SgNode* root);
//src/midend/astInlining/replaceExpressionWithStatement.h
void replaceAssignmentStmtWithStatement(SgExprStatement* from, StatementGenerator* to);
void replaceSubexpressionWithStatement(SgExpression* from,
StatementGenerator* to);
SgExpression* getRootOfExpression(SgExpression* n);
//--------------------------preprocessing info. -------------------------
//------------------------------------------------------------------------
//! Removes all preprocessing information at a given position.
void cutPreprocInfo (SgBasicBlock* b,
PreprocessingInfo::RelativePositionType pos,
AttachedPreprocessingInfoType& save_buf);
//! Pastes preprocessing information at the front of a statement.
void pastePreprocInfoFront (AttachedPreprocessingInfoType& save_buf,
SgStatement* s);
//! Pastes preprocessing information at the back of a statement.
void pastePreprocInfoBack (AttachedPreprocessingInfoType& save_buf,
SgStatement* s);
/*!
* \brief Moves 'before' preprocessing information.
* Moves all preprocessing information attached 'before' the source
* statement to the front of the destination statement.
*/
// a generic one for all
/// void movePreprocessingInfo(src, dest, RelativePositionType);
void moveBeforePreprocInfo (SgStatement* src, SgStatement* dest);
void moveInsidePreprocInfo (SgBasicBlock* src, SgBasicBlock* dest);
void moveAfterPreprocInfo (SgStatement* src, SgStatement* dest);
//--------------------------------operator--------------------------------
//------------------------------------------------------------------------
from transformationSupport.h, not sure if they should be included here
/* return enum code for SAGE operators */
operatorCodeType classifyOverloadedOperator(); // transformationSupport.h
/*! \brief generates a source code string from operator name.
This function returns a string representing the elementwise operator (for primative types)
that would be match that associated with the overloaded operator for a user-defined
abstractions (e.g. identifyOperator("operator+()") returns "+").
*/
std::string stringifyOperator (std::string name);
//--------------------------------macro ----------------------------------
//------------------------------------------------------------------------
std::string buildMacro ( std::string s ); //transformationSupport.h
//--------------------------------access functions---------------------------
//----------------------------------get/set sth.-----------------------------
// several categories:
* get/set a direct child/grandchild node or fields
* get/set a property flag value
* get a descendent child node using preorder searching
* get an ancestor node using bottomup/reverse searching
// SgName or string?
std::string getFunctionName (SgFunctionCallExp* functionCallExp);
std::string getFunctionTypeName ( SgFunctionCallExp* functionCallExpression );
// do we need them anymore? or existing member functions are enought?
// a generic one:
std::string get_name (const SgNode* node);
std::string get_name (const SgDeclarationStatement * declaration);
// get/set some property: should moved to SgXXX as an inherent memeber function?
// access modifier
void setExtern (SgFunctionDeclartion*)
void clearExtern()
// similarly for other declarations and other properties
void setExtern (SgVariableDeclaration*)
void setPublic()
void setPrivate()
#endif
// DQ (1/23/2013): Added support for generated a set of source sequence entries.
std::set<unsigned int> collectSourceSequenceNumbers( SgNode* astNode );
//--------------------------------Type Traits (C++)---------------------------
bool HasNoThrowAssign(const SgType * const inputType);
bool HasNoThrowCopy(const SgType * const inputType);
bool HasNoThrowConstructor(const SgType * const inputType);
bool HasTrivialAssign(const SgType * const inputType);
bool HasTrivialCopy(const SgType * const inputType);
bool HasTrivialConstructor(const SgType * const inputType);
bool HasTrivialDestructor(const SgType * const inputType);
bool HasVirtualDestructor(const SgType * const inputType);
bool IsBaseOf(const SgType * const inputBaseType, const SgType * const inputDerivedType);
bool IsAbstract(const SgType * const inputType);
bool IsClass(const SgType * const inputType);
bool IsEmpty(const SgType * const inputType);
bool IsEnum(const SgType * const inputType);
bool IsPod(const SgType * const inputType);
bool IsPolymorphic(const SgType * const inputType);
bool IsStandardLayout(const SgType * const inputType);
bool IsLiteralType(const SgType * const inputType);
bool IsTrivial(const SgType * const inputType);
bool IsUnion(const SgType * const inputType);
SgType * UnderlyingType(SgType *type);
// DQ (3/2/2014): Added a new interface function (used in the snippet insertion support).
// void supportForInitializedNameLists ( SgScopeStatement* scope, SgInitializedNamePtrList & variableList );
// DQ (3/4/2014): Added support for testing two trees for equivalents using the AST iterators.
bool isStructurallyEquivalentAST( SgNode* tree1, SgNode* tree2 );
// JP (10/14/24): Moved code to evaluate a const integer expression (like in array size definitions) to SageInterface
/*! The datastructure is used as the return type for SageInterface::evaluateConstIntegerExpression(). One needs to always check whether hasValue_ is true before accessing value_ */
struct const_int_expr_t {
size_t value_;
bool hasValue_;
};
/*! \brief The function tries to evaluate const integer expressions (such as are used in array dimension sizes). It follows variable symbols, and requires constness. */
struct const_int_expr_t evaluateConstIntegerExpression(SgExpression *expr);
// JP (9/17/14): Added function to test whether two SgType* are equivalent or not
bool checkTypesAreEqual(SgType *typeA, SgType *typeB);
//--------------------------------Java interface functions ---------------------
#ifdef ROSE_BUILD_JAVA_LANGUAGE_SUPPORT
ROSE_DLL_API std::string getTempDirectory(SgProject *project);
ROSE_DLL_API void destroyTempDirectory(std::string);
ROSE_DLL_API SgFile *processFile(SgProject *, std::string, bool unparse = false);
ROSE_DLL_API std::string preprocessPackage(SgProject *, std::string);
ROSE_DLL_API std::string preprocessImport(SgProject *, std::string);
ROSE_DLL_API SgFile* preprocessCompilationUnit(SgProject *, std::string, std::string, bool unparse = true);
ROSE_DLL_API SgClassDefinition *findJavaPackage(SgScopeStatement *, std::string);
ROSE_DLL_API SgClassDefinition *findOrInsertJavaPackage(SgProject *, std::string, bool create_directory = false);
ROSE_DLL_API SgClassDeclaration *findOrImportJavaClass(SgProject *, SgClassDefinition *package_definition, std::string);
ROSE_DLL_API SgClassDeclaration *findOrImportJavaClass(SgProject *, std::string, std::string);
ROSE_DLL_API SgClassDeclaration *findOrImportJavaClass(SgProject *, SgClassType *);
ROSE_DLL_API SgMemberFunctionDeclaration *findJavaMain(SgClassDefinition *);
ROSE_DLL_API SgMemberFunctionDeclaration *findJavaMain(SgClassType *);
#endif // ROSE_BUILD_JAVA_LANGUAGE_SUPPORT
// DQ (8/31/2016): Making this a template function so that we can have it work with user defined filters.
//! This function detects template instantiations that are relevant when filters are used.
/*!
EDG normalizes some in-class template functions and member functions to be redefined outside of a class. this causes the associated template instantiations
to be declared outside of the class, and to be marked as compiler generated (since the compiler generated form outside of the class declaration).
ROSE captures the function definitions, but in the new location (defined outside of the class declaration). This can confuse some simple tests
for template instantiations that are a part of definitions in a file, thus we have this function to detect this specific normalization.
*/
template < class T >
bool isTemplateInstantiationFromTemplateDeclarationSatisfyingFilter (SgFunctionDeclaration* function, T* filter )
{
// DQ (9/1/2016): This function is called in the Call graph generation to avoid filtering out EDG normalized
// function template instnatiations (which come from normalized template functions and member functions).
// Note that because of the EDG normailzation the membr function is moved outside of the class, and
// thus marked as compiler generated. However the template instantiations are always marked as compiler
// generated (if not specializations) and so we want to include a template instantiation that is marked
// as compiler generated, but is from a template declaration that satisfyied a specific user defined filter.
// The complexity of this detection is isolated here, but knowing that it must be called is more complex.
// This function is call in the CG.C file of tests/nonsmoke/functional/roseTests/programAnalysisTests/testCallGraphAnalysis.
bool retval = false;
#define DEBUG_TEMPLATE_NORMALIZATION_DETECTION 0
#if DEBUG_TEMPLATE_NORMALIZATION_DETECTION
printf ("In isNormalizedTemplateInstantiation(): function = %p = %s = %s \n",function,function->class_name().c_str(),function->get_name().str());
#endif
// Test for this to be a template instantation (in which case it was marked as
// compiler generated but we may want to allow it to be used in the call graph,
// if it's template was a part was defined in the current directory).
SgTemplateInstantiationFunctionDecl* templateInstantiationFunction = isSgTemplateInstantiationFunctionDecl(function);
SgTemplateInstantiationMemberFunctionDecl* templateInstantiationMemberFunction = isSgTemplateInstantiationMemberFunctionDecl(function);
if (templateInstantiationFunction != NULL)
{
// When the defining function has been normalized by EDG, only the non-defining declaration will have a source position.
templateInstantiationFunction = isSgTemplateInstantiationFunctionDecl(templateInstantiationFunction->get_firstNondefiningDeclaration());
SgTemplateFunctionDeclaration* templateFunctionDeclaration = templateInstantiationFunction->get_templateDeclaration();
if (templateFunctionDeclaration != NULL)
{
retval = filter->operator()(templateFunctionDeclaration);
}
else
{
// Assume false.
}
#if DEBUG_TEMPLATE_NORMALIZATION_DETECTION
printf (" --- case of templateInstantiationFunction: retval = %s \n",retval ? "true" : "false");
#endif
}
else
{
if (templateInstantiationMemberFunction != NULL)
{
// When the defining function has been normalized by EDG, only the non-defining declaration will have a source position.
templateInstantiationMemberFunction = isSgTemplateInstantiationMemberFunctionDecl(templateInstantiationMemberFunction->get_firstNondefiningDeclaration());
SgTemplateMemberFunctionDeclaration* templateMemberFunctionDeclaration = templateInstantiationMemberFunction->get_templateDeclaration();
if (templateMemberFunctionDeclaration != NULL)
{
retval = filter->operator()(templateMemberFunctionDeclaration);
}
else
{
// Assume false.
}
#if DEBUG_TEMPLATE_NORMALIZATION_DETECTION
printf (" --- case of templateInstantiationMemberFunction: retval = %s \n",retval ? "true" : "false");
#endif
}
}
return retval;
}
void detectCycleInType(SgType * type, const std::string & from);
// DQ (7/14/2020): Debugging support.
void checkForInitializers( SgNode* node );
}// end of namespace
#endif
|
GB_unop__identity_int64_fp32.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_control.h"
#include "GB_atomics.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB (_unop_apply__identity_int64_fp32)
// op(A') function: GB (_unop_tran__identity_int64_fp32)
// C type: int64_t
// A type: float
// cast: int64_t cij = GB_cast_to_int64_t ((double) (aij))
// unaryop: cij = aij
#define GB_ATYPE \
float
#define GB_CTYPE \
int64_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_CAST(z, aij) \
int64_t z = GB_cast_to_int64_t ((double) (aij)) ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
float aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int64_t z = GB_cast_to_int64_t ((double) (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_FP32)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB (_unop_apply__identity_int64_fp32)
(
int64_t *Cx, // Cx and Ax may be aliased
const float *Ax,
const int8_t *restrict Ab, // A->b if A is bitmap
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
if (Ab == NULL)
{
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
float aij = Ax [p] ;
int64_t z = GB_cast_to_int64_t ((double) (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 ;
float aij = Ax [p] ;
int64_t z = GB_cast_to_int64_t ((double) (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_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
|
3453.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
for (i = 0; i < _PB_NI; i++)
{
#pragma omp target teams distribute thread_limit(64) schedule(static, 8)
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
for (i = 0; i < _PB_NJ; i++)
{
#pragma omp target teams distribute thread_limit(64) schedule(static, 8)
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
for (i = 0; i < _PB_NI; i++)
{
#pragma omp target teams distribute thread_limit(64) schedule(static, 8)
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;
}
|
irbuilder_unroll_partial_factor_for_collapse.c | // NOTE: Assertions have been autogenerated by utils/update_cc_test_checks.py UTC_ARGS: --function-signature --include-generated-funcs
// RUN: %clang_cc1 -fopenmp-enable-irbuilder -verify -fopenmp -fopenmp-version=51 -x c -triple x86_64-unknown-unknown -emit-llvm %s -o - | FileCheck %s
// expected-no-diagnostics
#ifndef HEADER
#define HEADER
// CHECK-LABEL: define {{.*}}@unroll_partial_factor_for_collapse(
// CHECK-NEXT: [[ENTRY:.*]]:
// CHECK-NEXT: %[[M_ADDR:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[A_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[B_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[C_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[D_ADDR:.+]] = alloca float*, align 8
// CHECK-NEXT: %[[DOTOMP_IV:.+]] = alloca i64, align 8
// CHECK-NEXT: %[[TMP:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[TMP1:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTCAPTURE_EXPR_:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[J:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTCAPTURE_EXPR_2:.+]] = alloca i64, align 8
// CHECK-NEXT: %[[I:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTUNROLLED_IV_J:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTOMP_LB:.+]] = alloca i64, align 8
// CHECK-NEXT: %[[DOTOMP_UB:.+]] = alloca i64, align 8
// CHECK-NEXT: %[[DOTOMP_STRIDE:.+]] = alloca i64, align 8
// CHECK-NEXT: %[[DOTOMP_IS_LAST:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[I6:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTUNROLLED_IV_J7:.+]] = alloca i32, align 4
// CHECK-NEXT: %[[DOTUNROLL_INNER_IV_J:.+]] = alloca i32, align 4
// CHECK-NEXT: store i32 %[[M:.+]], i32* %[[M_ADDR]], align 4
// CHECK-NEXT: store float* %[[A:.+]], float** %[[A_ADDR]], align 8
// CHECK-NEXT: store float* %[[B:.+]], float** %[[B_ADDR]], align 8
// CHECK-NEXT: store float* %[[C:.+]], float** %[[C_ADDR]], align 8
// CHECK-NEXT: store float* %[[D:.+]], float** %[[D_ADDR]], align 8
// CHECK-NEXT: %[[TMP0:.+]] = load i32, i32* %[[M_ADDR]], align 4
// CHECK-NEXT: store i32 %[[TMP0]], i32* %[[DOTCAPTURE_EXPR_]], align 4
// CHECK-NEXT: store i32 0, i32* %[[J]], align 4
// CHECK-NEXT: %[[TMP1_1:.+]] = load i32, i32* %[[DOTCAPTURE_EXPR_]], align 4
// CHECK-NEXT: %[[SUB:.+]] = sub nsw i32 %[[TMP1_1]], 0
// CHECK-NEXT: %[[DIV:.+]] = sdiv i32 %[[SUB]], 1
// CHECK-NEXT: %[[CONV:.+]] = sext i32 %[[DIV]] to i64
// CHECK-NEXT: %[[MUL:.+]] = mul nsw i64 %[[CONV]], 2
// CHECK-NEXT: %[[SUB3:.+]] = sub nsw i64 %[[MUL]], 1
// CHECK-NEXT: store i64 %[[SUB3]], i64* %[[DOTCAPTURE_EXPR_2]], align 8
// CHECK-NEXT: store i32 0, i32* %[[I]], align 4
// CHECK-NEXT: store i32 0, i32* %[[DOTUNROLLED_IV_J]], align 4
// CHECK-NEXT: %[[TMP2:.+]] = load i32, i32* %[[DOTCAPTURE_EXPR_]], align 4
// CHECK-NEXT: %[[CMP:.+]] = icmp slt i32 0, %[[TMP2]]
// CHECK-NEXT: br i1 %[[CMP]], label %[[OMP_PRECOND_THEN:.+]], label %[[OMP_PRECOND_END:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_PRECOND_THEN]]:
// CHECK-NEXT: store i64 0, i64* %[[DOTOMP_LB]], align 8
// CHECK-NEXT: %[[TMP3:.+]] = load i64, i64* %[[DOTCAPTURE_EXPR_2]], align 8
// CHECK-NEXT: store i64 %[[TMP3]], i64* %[[DOTOMP_UB]], align 8
// CHECK-NEXT: store i64 1, i64* %[[DOTOMP_STRIDE]], align 8
// CHECK-NEXT: store i32 0, i32* %[[DOTOMP_IS_LAST]], align 4
// CHECK-NEXT: %[[OMP_GLOBAL_THREAD_NUM:.+]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @3)
// CHECK-NEXT: call void @__kmpc_for_static_init_8(%struct.ident_t* @1, i32 %[[OMP_GLOBAL_THREAD_NUM]], i32 34, i32* %[[DOTOMP_IS_LAST]], i64* %[[DOTOMP_LB]], i64* %[[DOTOMP_UB]], i64* %[[DOTOMP_STRIDE]], i64 1, i64 1)
// CHECK-NEXT: %[[TMP4:.+]] = load i64, i64* %[[DOTOMP_UB]], align 8
// CHECK-NEXT: %[[TMP5:.+]] = load i64, i64* %[[DOTCAPTURE_EXPR_2]], align 8
// CHECK-NEXT: %[[CMP8:.+]] = icmp sgt i64 %[[TMP4]], %[[TMP5]]
// CHECK-NEXT: br i1 %[[CMP8]], label %[[COND_TRUE:.+]], label %[[COND_FALSE:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_TRUE]]:
// CHECK-NEXT: %[[TMP6:.+]] = load i64, i64* %[[DOTCAPTURE_EXPR_2]], align 8
// CHECK-NEXT: br label %[[COND_END:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_FALSE]]:
// CHECK-NEXT: %[[TMP7:.+]] = load i64, i64* %[[DOTOMP_UB]], align 8
// CHECK-NEXT: br label %[[COND_END]]
// CHECK-EMPTY:
// CHECK-NEXT: [[COND_END]]:
// CHECK-NEXT: %[[COND:.+]] = phi i64 [ %[[TMP6]], %[[COND_TRUE]] ], [ %[[TMP7]], %[[COND_FALSE]] ]
// CHECK-NEXT: store i64 %[[COND]], i64* %[[DOTOMP_UB]], align 8
// CHECK-NEXT: %[[TMP8:.+]] = load i64, i64* %[[DOTOMP_LB]], align 8
// CHECK-NEXT: store i64 %[[TMP8]], i64* %[[DOTOMP_IV]], align 8
// CHECK-NEXT: br label %[[OMP_INNER_FOR_COND:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_INNER_FOR_COND]]:
// CHECK-NEXT: %[[TMP9:.+]] = load i64, i64* %[[DOTOMP_IV]], align 8
// CHECK-NEXT: %[[TMP10:.+]] = load i64, i64* %[[DOTOMP_UB]], align 8
// CHECK-NEXT: %[[CMP10:.+]] = icmp sle i64 %[[TMP9]], %[[TMP10]]
// CHECK-NEXT: br i1 %[[CMP10]], label %[[OMP_INNER_FOR_BODY:.+]], label %[[OMP_INNER_FOR_END:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_INNER_FOR_BODY]]:
// CHECK-NEXT: %[[TMP11:.+]] = load i64, i64* %[[DOTOMP_IV]], align 8
// CHECK-NEXT: %[[DIV12:.+]] = sdiv i64 %[[TMP11]], 2
// CHECK-NEXT: %[[MUL13:.+]] = mul nsw i64 %[[DIV12]], 1
// CHECK-NEXT: %[[ADD:.+]] = add nsw i64 0, %[[MUL13]]
// CHECK-NEXT: %[[CONV14:.+]] = trunc i64 %[[ADD]] to i32
// CHECK-NEXT: store i32 %[[CONV14]], i32* %[[I6]], align 4
// CHECK-NEXT: %[[TMP12:.+]] = load i64, i64* %[[DOTOMP_IV]], align 8
// CHECK-NEXT: %[[TMP13:.+]] = load i64, i64* %[[DOTOMP_IV]], align 8
// CHECK-NEXT: %[[DIV15:.+]] = sdiv i64 %[[TMP13]], 2
// CHECK-NEXT: %[[MUL16:.+]] = mul nsw i64 %[[DIV15]], 2
// CHECK-NEXT: %[[SUB17:.+]] = sub nsw i64 %[[TMP12]], %[[MUL16]]
// CHECK-NEXT: %[[MUL18:.+]] = mul nsw i64 %[[SUB17]], 4
// CHECK-NEXT: %[[ADD19:.+]] = add nsw i64 0, %[[MUL18]]
// CHECK-NEXT: %[[CONV20:.+]] = trunc i64 %[[ADD19]] to i32
// CHECK-NEXT: store i32 %[[CONV20]], i32* %[[DOTUNROLLED_IV_J7]], align 4
// CHECK-NEXT: %[[TMP14:.+]] = load i32, i32* %[[DOTUNROLLED_IV_J7]], align 4
// CHECK-NEXT: store i32 %[[TMP14]], i32* %[[DOTUNROLL_INNER_IV_J]], align 4
// CHECK-NEXT: br label %[[FOR_COND:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[FOR_COND]]:
// CHECK-NEXT: %[[TMP15:.+]] = load i32, i32* %[[DOTUNROLL_INNER_IV_J]], align 4
// CHECK-NEXT: %[[TMP16:.+]] = load i32, i32* %[[DOTUNROLLED_IV_J7]], align 4
// CHECK-NEXT: %[[ADD21:.+]] = add nsw i32 %[[TMP16]], 4
// CHECK-NEXT: %[[CMP22:.+]] = icmp sle i32 %[[TMP15]], %[[ADD21]]
// CHECK-NEXT: br i1 %[[CMP22]], label %[[LAND_RHS:.+]], label %[[LAND_END:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[LAND_RHS]]:
// CHECK-NEXT: %[[TMP17:.+]] = load i32, i32* %[[DOTUNROLL_INNER_IV_J]], align 4
// CHECK-NEXT: %[[CMP24:.+]] = icmp sle i32 %[[TMP17]], 8
// CHECK-NEXT: br label %[[LAND_END]]
// CHECK-EMPTY:
// CHECK-NEXT: [[LAND_END]]:
// CHECK-NEXT: %[[TMP18:.+]] = phi i1 [ false, %[[FOR_COND]] ], [ %[[CMP24]], %[[LAND_RHS]] ]
// CHECK-NEXT: br i1 %[[TMP18]], label %[[FOR_BODY:.+]], label %[[FOR_END:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[FOR_BODY]]:
// CHECK-NEXT: %[[TMP19:.+]] = load i32, i32* %[[DOTUNROLL_INNER_IV_J]], align 4
// CHECK-NEXT: %[[MUL26:.+]] = mul nsw i32 %[[TMP19]], 1
// CHECK-NEXT: %[[ADD27:.+]] = add nsw i32 0, %[[MUL26]]
// CHECK-NEXT: store i32 %[[ADD27]], i32* %[[J]], align 4
// CHECK-NEXT: %[[TMP20:.+]] = load float*, float** %[[B_ADDR]], align 8
// CHECK-NEXT: %[[TMP21:.+]] = load i32, i32* %[[I6]], align 4
// CHECK-NEXT: %[[IDXPROM:.+]] = sext i32 %[[TMP21]] to i64
// CHECK-NEXT: %[[ARRAYIDX:.+]] = getelementptr inbounds float, float* %[[TMP20]], i64 %[[IDXPROM]]
// CHECK-NEXT: %[[TMP22:.+]] = load float, float* %[[ARRAYIDX]], align 4
// CHECK-NEXT: %[[TMP23:.+]] = load float*, float** %[[C_ADDR]], align 8
// CHECK-NEXT: %[[TMP24:.+]] = load i32, i32* %[[I6]], align 4
// CHECK-NEXT: %[[IDXPROM28:.+]] = sext i32 %[[TMP24]] to i64
// CHECK-NEXT: %[[ARRAYIDX29:.+]] = getelementptr inbounds float, float* %[[TMP23]], i64 %[[IDXPROM28]]
// CHECK-NEXT: %[[TMP25:.+]] = load float, float* %[[ARRAYIDX29]], align 4
// CHECK-NEXT: %[[TMP26:.+]] = load float*, float** %[[D_ADDR]], align 8
// CHECK-NEXT: %[[TMP27:.+]] = load i32, i32* %[[J]], align 4
// CHECK-NEXT: %[[IDXPROM30:.+]] = sext i32 %[[TMP27]] to i64
// CHECK-NEXT: %[[ARRAYIDX31:.+]] = getelementptr inbounds float, float* %[[TMP26]], i64 %[[IDXPROM30]]
// CHECK-NEXT: %[[TMP28:.+]] = load float, float* %[[ARRAYIDX31]], align 4
// CHECK-NEXT: %[[MUL32:.+]] = fmul float %[[TMP25]], %[[TMP28]]
// CHECK-NEXT: %[[ADD33:.+]] = fadd float %[[TMP22]], %[[MUL32]]
// CHECK-NEXT: %[[TMP29:.+]] = load float*, float** %[[A_ADDR]], align 8
// CHECK-NEXT: %[[TMP30:.+]] = load i32, i32* %[[I6]], align 4
// CHECK-NEXT: %[[IDXPROM34:.+]] = sext i32 %[[TMP30]] to i64
// CHECK-NEXT: %[[ARRAYIDX35:.+]] = getelementptr inbounds float, float* %[[TMP29]], i64 %[[IDXPROM34]]
// CHECK-NEXT: %[[TMP31:.+]] = load float, float* %[[ARRAYIDX35]], align 4
// CHECK-NEXT: %[[ADD36:.+]] = fadd float %[[TMP31]], %[[ADD33]]
// CHECK-NEXT: store float %[[ADD36]], float* %[[ARRAYIDX35]], align 4
// CHECK-NEXT: br label %[[FOR_INC:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[FOR_INC]]:
// CHECK-NEXT: %[[TMP32:.+]] = load i32, i32* %[[DOTUNROLL_INNER_IV_J]], align 4
// CHECK-NEXT: %[[INC:.+]] = add nsw i32 %[[TMP32]], 1
// CHECK-NEXT: store i32 %[[INC]], i32* %[[DOTUNROLL_INNER_IV_J]], align 4
// CHECK-NEXT: br label %[[FOR_COND]], !llvm.loop ![[LOOP3:[0-9]+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[FOR_END]]:
// CHECK-NEXT: br label %[[OMP_BODY_CONTINUE:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_BODY_CONTINUE]]:
// CHECK-NEXT: br label %[[OMP_INNER_FOR_INC:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_INNER_FOR_INC]]:
// CHECK-NEXT: %[[TMP33:.+]] = load i64, i64* %[[DOTOMP_IV]], align 8
// CHECK-NEXT: %[[ADD37:.+]] = add nsw i64 %[[TMP33]], 1
// CHECK-NEXT: store i64 %[[ADD37]], i64* %[[DOTOMP_IV]], align 8
// CHECK-NEXT: br label %[[OMP_INNER_FOR_COND]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_INNER_FOR_END]]:
// CHECK-NEXT: br label %[[OMP_LOOP_EXIT:.+]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_LOOP_EXIT]]:
// CHECK-NEXT: %[[OMP_GLOBAL_THREAD_NUM38:.+]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @5)
// CHECK-NEXT: call void @__kmpc_for_static_fini(%struct.ident_t* @1, i32 %[[OMP_GLOBAL_THREAD_NUM38]])
// CHECK-NEXT: br label %[[OMP_PRECOND_END]]
// CHECK-EMPTY:
// CHECK-NEXT: [[OMP_PRECOND_END]]:
// CHECK-NEXT: %[[OMP_GLOBAL_THREAD_NUM39:.+]] = call i32 @__kmpc_global_thread_num(%struct.ident_t* @7)
// CHECK-NEXT: call void @__kmpc_barrier(%struct.ident_t* @6, i32 %[[OMP_GLOBAL_THREAD_NUM39]])
// CHECK-NEXT: ret void
// CHECK-NEXT: }
void unroll_partial_factor_for_collapse(int m, float *a, float *b, float *c, float *d) {
#pragma omp for collapse(2)
for (int i = 0; i < m; i++) {
#pragma omp unroll partial(4)
for (int j = 0; j < 8; j++) {
a[i] += b[i] + c[i] * d[j];
}
}
}
#endif // HEADER
// CHECK: ![[META0:[0-9]+]] = !{i32 1, !"wchar_size", i32 4}
// CHECK: ![[META1:[0-9]+]] = !{i32 7, !"openmp", i32 51}
// CHECK: ![[META2:[0-9]+]] =
// CHECK: ![[LOOP3]] = distinct !{![[LOOP3]], ![[LOOPPROP4:[0-9]+]], ![[LOOPPROP5:[0-9]+]]}
// CHECK: ![[LOOPPROP4]] = !{!"llvm.loop.mustprogress"}
// CHECK: ![[LOOPPROP5]] = !{!"llvm.loop.unroll.count", i32 4}
|
declare_target-4.c | /* { dg-do run } */
/* { dg-additional-options "-DTESTITERS=20" { target { ! run_expensive_tests } } } */
#include <stdlib.h>
#define EPS 0.00001
#define N 1000
#ifndef TESTITERS
#define TESTITERS N
#endif
#pragma omp declare target
float Q[N][N];
float Pfun (const int i, const int k)
{
return Q[i][k] * Q[k][i];
}
#pragma omp end declare target
void init ()
{
int i, j;
for (i = 0; i < N; i++)
for (j = 0; j < N; j++)
Q[i][j] = 0.001 * i * j;
}
float accum_ref (int k)
{
int i;
float tmp = 0.0;
for (i = 0; i < N; i++)
tmp += Pfun (i, k);
return tmp;
}
float accum (int k)
{
int i;
float tmp = 0.0;
#pragma omp target map(tofrom:tmp)
#pragma omp parallel for reduction(+:tmp)
for (i = 0; i < N; i++)
tmp += Pfun (i, k);
return tmp;
}
void check (float a, float b)
{
float err = (b == 0.0) ? a : (a - b) / b;
if (((err > 0) ? err : -err) > EPS)
abort ();
}
int main ()
{
int i;
init ();
#pragma omp target update to(Q)
for (i = 0; i < TESTITERS; i++)
check (accum (i), accum_ref (i));
return 0;
}
|
GB_binop__div_fp64.c |
//------------------------------------------------------------------------------
// GB_binop: hard-coded functions for each built-in binary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// If this file is in the Generated2/ folder, do not edit it
// (it is auto-generated from Generator/*).
#include "GB.h"
#ifndef GBCUDA_DEV
#include "GB_emult.h"
#include "GB_control.h"
#include "GB_ek_slice.h"
#include "GB_dense.h"
#include "GB_atomics.h"
#include "GB_bitmap_assign_methods.h"
#include "GB_binop__include.h"
// C=binop(A,B) is defined by the following types and operators:
// A+B function (eWiseAdd): GB (_AaddB__div_fp64)
// A.*B function (eWiseMult): GB (_AemultB_08__div_fp64)
// A.*B function (eWiseMult): GB (_AemultB_02__div_fp64)
// A.*B function (eWiseMult): GB (_AemultB_04__div_fp64)
// A.*B function (eWiseMult): GB (_AemultB_bitmap__div_fp64)
// A*D function (colscale): GB (_AxD__div_fp64)
// D*A function (rowscale): GB (_DxB__div_fp64)
// C+=B function (dense accum): GB (_Cdense_accumB__div_fp64)
// C+=b function (dense accum): GB (_Cdense_accumb__div_fp64)
// C+=A+B function (dense ewise3): GB (_Cdense_ewise3_accum__div_fp64)
// C=A+B function (dense ewise3): GB (_Cdense_ewise3_noaccum__div_fp64)
// C=scalar+B GB (_bind1st__div_fp64)
// C=scalar+B' GB (_bind1st_tran__div_fp64)
// C=A+scalar GB (_bind2nd__div_fp64)
// C=A'+scalar GB (_bind2nd_tran__div_fp64)
// C type: double
// A type: double
// A pattern? 0
// B type: double
// B pattern? 0
// BinaryOp: cij = (aij / bij)
#define GB_ATYPE \
double
#define GB_BTYPE \
double
#define GB_CTYPE \
double
// true if the types of A and B are identical
#define GB_ATYPE_IS_BTYPE \
1
// true if the types of C and A are identical
#define GB_CTYPE_IS_ATYPE \
1
// true if the types of C and B are identical
#define GB_CTYPE_IS_BTYPE \
1
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA,A_iso) \
double aij = GBX (Ax, pA, A_iso)
// true if values of A are not used
#define GB_A_IS_PATTERN \
0 \
// bij = Bx [pB]
#define GB_GETB(bij,Bx,pB,B_iso) \
double bij = GBX (Bx, pB, B_iso)
// true if values of B are not used
#define GB_B_IS_PATTERN \
0 \
// declare scalar of the same type as C
#define GB_CTYPE_SCALAR(t) \
double t
// cij = Ax [pA]
#define GB_COPY_A_TO_C(cij,Ax,pA,A_iso) \
cij = GBX (Ax, pA, A_iso)
// cij = Bx [pB]
#define GB_COPY_B_TO_C(cij,Bx,pB,B_iso) \
cij = GBX (Bx, pB, B_iso)
#define GB_CX(p) Cx [p]
// binary operator
#define GB_BINOP(z,x,y,i,j) \
z = (x / y) ;
// true if the binop must be flipped
#define GB_BINOP_FLIP \
0
// op is second
#define GB_OP_IS_SECOND \
0
// do the numerical phases of GB_add and GB_emult
#define GB_PHASE_2_OF_2
// hard-coded loops can be vectorized
#define GB_PRAGMA_SIMD_VECTORIZE GB_PRAGMA_SIMD
// disable this operator and use the generic case if these conditions hold
#define GB_DISABLE \
(GxB_NO_DIV || GxB_NO_FP64 || GxB_NO_DIV_FP64)
//------------------------------------------------------------------------------
// C += A+B, all 3 matrices dense
//------------------------------------------------------------------------------
// The op must be MIN, MAX, PLUS, MINUS, RMINUS, TIMES, DIV, or RDIV.
void GB (_Cdense_ewise3_accum__div_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_accum_template.c"
}
//------------------------------------------------------------------------------
// C = A+B, all 3 matrices dense
//------------------------------------------------------------------------------
void GB (_Cdense_ewise3_noaccum__div_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix B,
const int nthreads
)
{
#include "GB_dense_ewise3_noaccum_template.c"
}
//------------------------------------------------------------------------------
// C += B, accumulate a sparse matrix into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumB__div_fp64)
(
GrB_Matrix C,
const GrB_Matrix B,
const int64_t *B_ek_slicing, const int B_ntasks, const int B_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
#include "GB_dense_subassign_23_template.c"
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C += b, accumulate a scalar into a dense matrix
//------------------------------------------------------------------------------
GrB_Info GB (_Cdense_accumb__div_fp64)
(
GrB_Matrix C,
const GB_void *p_bwork,
const int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
{
// get the scalar b for C += b, of type double
double bwork = (*((double *) p_bwork)) ;
#include "GB_dense_subassign_22_template.c"
return (GrB_SUCCESS) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = A*D, column scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_AxD__div_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GrB_Matrix D,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *restrict Cx = (double *) C->x ;
#include "GB_AxB_colscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = D*B, row scale with diagonal D matrix
//------------------------------------------------------------------------------
GrB_Info GB (_DxB__div_fp64)
(
GrB_Matrix C,
const GrB_Matrix D,
const GrB_Matrix B,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *restrict Cx = (double *) C->x ;
#include "GB_AxB_rowscale_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseAdd: C=A+B, C<M>=A+B, C<!M>=A+B
//------------------------------------------------------------------------------
GrB_Info GB (_AaddB__div_fp64)
(
GrB_Matrix C,
const int C_sparsity,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool is_eWiseUnion,
const GB_void *alpha_scalar_in,
const GB_void *beta_scalar_in,
const bool Ch_is_Mh,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
GB_WERK_DECLARE (M_ek_slicing, int64_t) ;
GB_WERK_DECLARE (A_ek_slicing, int64_t) ;
GB_WERK_DECLARE (B_ek_slicing, int64_t) ;
double alpha_scalar ;
double beta_scalar ;
if (is_eWiseUnion)
{
alpha_scalar = (*((double *) alpha_scalar_in)) ;
beta_scalar = (*((double *) beta_scalar_in )) ;
}
#include "GB_add_template.c"
GB_FREE_WORKSPACE ;
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, or C<M!>=A.*B where C is sparse/hyper
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_08__div_fp64)
(
GrB_Matrix C,
const int C_sparsity,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict C_to_M,
const int64_t *restrict C_to_A,
const int64_t *restrict C_to_B,
const GB_task_struct *restrict TaskList,
const int C_ntasks,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_08_meta.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<#> = A.*B when A is sparse/hyper and B is bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_02__div_fp64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const bool flipxy,
const int64_t *restrict Cp_kfirst,
const int64_t *A_ek_slicing, const int A_ntasks, const int A_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#if GB_BINOP_FLIP
// The operator is not commutative, and does not have a flipped
// variant. For example z=atan2(y,x).
if (flipxy)
{
// use fmult(y,x)
#undef GB_FLIPPED
#define GB_FLIPPED 1
#include "GB_emult_02_template.c"
}
else
{
// use fmult(x,y)
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
}
#else
// No need to handle the flip: the operator is either commutative, or
// has been handled by changing z=div(y,x) to z=rdiv(x,y) for example.
#undef GB_FLIPPED
#define GB_FLIPPED 0
#include "GB_emult_02_template.c"
#endif
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C<M> = A.*B, M sparse/hyper, A and B bitmap/full
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_04__div_fp64)
(
GrB_Matrix C,
const GrB_Matrix M,
const bool Mask_struct,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *restrict Cp_kfirst,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_emult_04_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// eWiseMult: C=A.*B, C<M>=A.*B, C<!M>=A.*B where C is bitmap
//------------------------------------------------------------------------------
GrB_Info GB (_AemultB_bitmap__div_fp64)
(
GrB_Matrix C,
const int ewise_method,
const GrB_Matrix M,
const bool Mask_struct,
const bool Mask_comp,
const GrB_Matrix A,
const GrB_Matrix B,
const int64_t *M_ek_slicing, const int M_ntasks, const int M_nthreads,
const int C_nthreads,
GB_Context Context
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#include "GB_bitmap_emult_template.c"
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (x,Bx): apply a binary operator to a matrix with scalar bind1st
//------------------------------------------------------------------------------
GrB_Info GB (_bind1st__div_fp64)
(
GB_void *Cx_output, // Cx and Bx may be aliased
const GB_void *x_input,
const GB_void *Bx_input,
const int8_t *restrict Bb,
int64_t bnz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double *Cx = (double *) Cx_output ;
double x = (*((double *) x_input)) ;
double *Bx = (double *) Bx_input ;
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < bnz ; p++)
{
if (!GBB (Bb, p)) continue ;
double bij = GBX (Bx, p, false) ;
Cx [p] = (x / bij) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// Cx = op (Ax,y): apply a binary operator to a matrix with scalar bind2nd
//------------------------------------------------------------------------------
GrB_Info GB (_bind2nd__div_fp64)
(
GB_void *Cx_output, // Cx and Ax may be aliased
const GB_void *Ax_input,
const GB_void *y_input,
const int8_t *restrict Ab,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
double *Cx = (double *) Cx_output ;
double *Ax = (double *) Ax_input ;
double y = (*((double *) y_input)) ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
if (!GBB (Ab, p)) continue ;
double aij = GBX (Ax, p, false) ;
Cx [p] = (aij / y) ;
}
return (GrB_SUCCESS) ;
#endif
}
//------------------------------------------------------------------------------
// C = op (x, A'): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (x, aij), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = (x / aij) ; \
}
GrB_Info GB (_bind1st_tran__div_fp64)
(
GrB_Matrix C,
const GB_void *x_input,
const GrB_Matrix A,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
// GB_unop_transpose.c uses GB_ATYPE, but A is
// the 2nd input to binary operator z=f(x,y).
#undef GB_ATYPE
#define GB_ATYPE \
double
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double x = (*((const double *) x_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
#undef GB_ATYPE
#define GB_ATYPE \
double
}
//------------------------------------------------------------------------------
// C = op (A', y): transpose and apply a binary operator
//------------------------------------------------------------------------------
// cij = op (aij, y), no typecasting (in spite of the macro name)
#undef GB_CAST_OP
#define GB_CAST_OP(pC,pA) \
{ \
double aij = GBX (Ax, pA, false) ; \
Cx [pC] = (aij / y) ; \
}
GrB_Info GB (_bind2nd_tran__div_fp64)
(
GrB_Matrix C,
const GrB_Matrix A,
const GB_void *y_input,
int64_t *restrict *Workspaces,
const int64_t *restrict A_slice,
int nworkspaces,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
double y = (*((const double *) y_input)) ;
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
CALPHADEqConcSolverBinary.h | #ifndef included_CALPHADEqConcSolverBinary
#define included_CALPHADEqConcSolverBinary
#include "NewtonSolver.h"
#include "datatypes.h"
namespace Thermo4PFM
{
class CALPHADEqConcSolverBinary
: public NewtonSolver<2, CALPHADEqConcSolverBinary, JacobianDataType>
{
public:
#ifdef HAVE_OPENMP_OFFLOAD
#pragma omp declare target
#endif
/// compute equilibrium concentrations cL, cS
/// conc: initial guess and final solution
int ComputeConcentration(double* const conc, const double tol,
const int max_iters, const double alpha = 1.)
{
return NewtonSolver::ComputeSolution(conc, tol, max_iters, alpha);
}
/// setup model paramater values to be used by solver,
/// at a given temperature
void setup(const double RTinv, const CalphadDataType* const Lmix_L,
const CalphadDataType* const Lmix_A, const CalphadDataType* const fA,
const CalphadDataType* const fB);
/// evaluate RHS of the system of eqautions to solve for
/// specific to this solver
void RHS(const double* const x, double* const fvec);
/// evaluate Jacobian of system of equations
/// specific to this solver
void Jacobian(const double* const x, JacobianDataType** const fjac);
#ifdef HAVE_OPENMP_OFFLOAD
#pragma omp end declare target
#endif
private:
double RTinv_;
double RT_;
///
/// energies of 2 species (A and B), in two phase each
///
CalphadDataType fA_[2];
CalphadDataType fB_[2];
///
/// 4 L coefficients for 2 possible phases (L, A)
///
CalphadDataType Lmix_L_[4];
CalphadDataType Lmix_A_[4];
};
}
#endif
|
matrix.c | #include "matrix.h"
#include <stddef.h>
#include <stdio.h>
#include <stdlib.h>
#include <omp.h>
// Include SSE intrinsics
#if defined(_MSC_VER)
#include <intrin.h>
#elif defined(__GNUC__) && (defined(__x86_64__) || defined(__i386__))
#include <immintrin.h>
#include <x86intrin.h>
#endif
/* Below are some intel intrinsics that might be useful
* void _mm256_storeu_pd (double * mem_addr, __m256d a)
* __m256d _mm256_set1_pd (double a)
* __m256d _mm256_set_pd (double e3, double e2, double e1, double e0)
* __m256d _mm256_loadu_pd (double const * mem_addr)
* __m256d _mm256_add_pd (__m256d a, __m256d b)
* __m256d _mm256_sub_pd (__m256d a, __m256d b)
* __m256d _mm256_fmadd_pd (__m256d a, __m256d b, __m256d c)
* __m256d _mm256_mul_pd (__m256d a, __m256d b)
* __m256d _mm256_cmp_pd (__m256d a, __m256d b, const int imm8)
* __m256d _mm256_and_pd (__m256d a, __m256d b)
* __m256d _mm256_max_pd (__m256d a, __m256d b)
*/
/*
* Generates a random double between `low` and `high`.
*/
double rand_double(double low, double high) {
double range = (high - low);
double div = RAND_MAX / range;
return low + (rand() / div);
}
/*
* Generates a random matrix with `seed`.
*/
void rand_matrix(matrix *result, unsigned int seed, double low, double high) {
srand(seed);
for (int i = 0; i < result->rows; i++) {
for (int j = 0; j < result->cols; j++) {
set(result, i, j, rand_double(low, high));
}
}
}
/*
* Allocate space for a matrix struct pointed to by the double pointer mat with
* `rows` rows and `cols` columns. You should also allocate memory for the data array
* and initialize all entries to be zeros. Remember to set all fieds of the matrix struct.
* `parent` should be set to NULL to indicate that this matrix is not a slice.
* You should return -1 if either `rows` or `cols` or both have invalid values, or if any
* call to allocate memory in this function fails. If you don't set python error messages here upon
* failure, then remember to set it in numc.c.
* Return 0 upon success and non-zero upon failure.
*/
int allocate_matrix(matrix **mat, int rows, int cols) {
if (rows <= 0 || cols <= 0) {
//return -2; This -2 is our error code
return -1; //What the spec wants us to return
}
*mat = (matrix*) malloc(sizeof(matrix));
if(!mat) {
return -1;
}
(*mat)->rows = rows;
(*mat)->cols = cols;
(*mat)->data = (double **) malloc(rows * sizeof(double *));
double** data = (*mat)->data;
if (data == NULL) {
free(mat);
return -1;
}
data[0] = (double *) calloc(rows * cols, sizeof(double));
double* base = data[0];
if (base == NULL) {
free(data);
free(mat);
return -1;
}
#pragma omp parallel for if(rows >= 350 && cols >= 350)
for (int i = 1; i < ((rows/4) * 4); i += 4) {
data[i] = base + (i * cols);
data[i+1] = base + ((i+1) * cols);
data[i+2] = base + ((i+2) * cols);
data[i+3] = base + ((i+3) * cols);
}
#pragma omp parallel for if(rows >= 350 && cols >= 350)
for (int i = ((rows/4) * 4); i < rows; i++) {
data[i] = base + (i * cols);
}
(rows == 1 || cols == 1) ? ((*mat)->is_1d = 1) : ((*mat)->is_1d = 0);
(*mat)->ref_cnt = 1;
(*mat)->parent = NULL;
return 0;
}
/*
* Allocate space for a matrix struct pointed to by `mat` with `rows` rows and `cols` columns.
* This is equivalent to setting the new matrix to be
* from[row_offset:row_offset + rows, col_offset:col_offset + cols]
* If you don't set python error messages here upon failure, then remember to set it in numc.c.
* Return 0 upon success and non-zero upon failure.
*/
int allocate_matrix_ref(matrix **mat, matrix *from, int row_offset, int col_offset,
int rows, int cols) {
if (from->cols < col_offset) {
return -1; //Out of bounds
}
if (from->rows < row_offset) {
return -1; //Out of bounds
}
*mat = (matrix*) malloc(sizeof(matrix));
if (!mat) {
return -1;
}
(*mat)->rows = rows;
(*mat)->cols = cols;
(*mat)->data = (double **) malloc(rows * sizeof(double*));
double** data = (*mat)->data;
if (data == NULL) {
free(mat);
return -1;
}
double** parent = from->data;
#pragma omp parallel for if(rows >= 350 && cols >= 350)
for (int i = 0; i < ((rows/4) * 4); i += 4) {
data[i] = parent[row_offset + i] + col_offset;
data[i+1] = parent[row_offset + i + 1] + col_offset;
data[i+2] = parent[row_offset + i + 2] + col_offset;
data[i+3] = parent[row_offset + i + 3] + col_offset;
}
#pragma omp parallel for if(rows >= 350 && cols >= 350)
for (int i = ((rows/4) * 4); i < rows; i++) {
data[i] = parent[row_offset + i] + col_offset;
}
(rows == 1 || cols == 1) ? ((*mat)->is_1d = 1) : ((*mat)->is_1d = 0);
(*mat)->ref_cnt = 1;
(*mat)->parent = from;
from->ref_cnt += 1;
return 0;
}
/*
* This function will be called automatically by Python when a numc matrix loses all of its
* reference pointers.
* You need to make sure that you only free `mat->data` if no other existing matrices are also
* referring this data array.
* See the spec for more information.
*/
void deallocate_matrix(matrix *mat) {
if (!mat) {
return;
}
if (mat->ref_cnt == 1) {
if (mat->parent == NULL) {
free(mat->data[0]);
free(mat->data);
} else {
mat->parent->ref_cnt -= 1;
}
free(mat);
}
}
/*
* Return the double value of the matrix at the given row and column.
* You may assume `row` and `col` are valid.
*/
double get(matrix *mat, int row, int col) {
return mat->data[row][col];
}
/*
* Set the value at the given row and column to val. You may assume `row` and
* `col` are valid
*/
void set(matrix *mat, int row, int col, double val) {
mat->data[row][col] = val;
}
/*
* Set all entries in mat to val
*/
void fill_matrix(matrix *mat, double val) {
double* base = mat->data[0];
int row = mat->rows;
int col = mat->cols;
int size = row * col;
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = 0; i < ((size/4) * 4); i += 4) {
base[i] = val;
base[i+1] = val;
base[i+2] = val;
base[i+3] = val;
}
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = ((size/4) * 4); i < size; i++) {
base[i] = val;
}
}
/*
* Store the result of adding mat1 and mat2 to `result`.
* Return 0 upon success and a nonzero value upon failure.
*/
int add_matrix(matrix *result, matrix *mat1, matrix *mat2) {
// Here, I'm assuming that we already have result as a valid matrix that's passed in
double* result_data = result->data[0];
double* mat1_data = mat1->data[0];
double* mat2_data = mat2->data[0];
int row = mat1->rows;
int col = mat1->cols;
int size = row * col;
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = 0; i < ((size)/4 * 4); i += 4) {
result_data[i] = mat1_data[i] + mat2_data[i];
result_data[i+1] = mat1_data[i+1] + mat2_data[i+1];
result_data[i+2] = mat1_data[i+2] + mat2_data[i+2];
result_data[i+3] = mat1_data[i+3] + mat2_data[i+3];
}
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = (size/4 * 4); i < size; i++) {
result_data[i] = mat1_data[i] + mat2_data[i];
}
return 0;
}
/*
* Store the result of subtracting mat2 from mat1 to `result`.
* Return 0 upon success and a nonzero value upon failure.
*/
int sub_matrix(matrix *result, matrix *mat1, matrix *mat2) {
double* result_data = result->data[0];
double* mat1_data = mat1->data[0];
double* mat2_data = mat2->data[0];
int row = mat1->rows;
int col = mat1->cols;
int size = row * col;
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = 0; i < size/4 * 4; i += 4) {
result_data[i] = mat1_data[i] - mat2_data[i];
result_data[i+1] = mat1_data[i+1] - mat2_data[i+1];
result_data[i+2] = mat1_data[i+2] - mat2_data[i+2];
result_data[i+3] = mat1_data[i+3] - mat2_data[i+3];
}
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = size/4 * 4; i < size; i++) {
result_data[i] = mat1_data[i] - mat2_data[i];
}
return 0;
}
int mul_matrix_Small(matrix *result, matrix *mat1, matrix *mat2) {
int row = mat1->rows;
int col = mat2->cols;
int mat1_cols = mat1->cols;
fill_matrix(result, 0);
if (row < 350 && col < 350) {
for (int i = 0; i < row; i++) {
double* mat1_data = mat1->data[i];
double* result_data = result->data[i];
for (int n = 0; n < mat1_cols; n++) {
double* mat2_data = mat2->data[n];
for (int j = 0; j < col; j++) {
result_data[j] += mat1_data[n] * mat2_data[j];
}
}
}
return 0;
} else {
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = 0; i < row; i++) {
double* result_data = result->data[i];
double* mat1_data = mat1->data[i];
for (int n = 0; n < (mat1_cols/4) * 4; n+=4) {
for (int j = 0; j < col; j++) {
result_data[j] += (mat1_data[n] * mat2->data[n][j]) + (mat1_data[n+1] * mat2->data[n+1][j]) + (mat1_data[n+2] * mat2->data[n+2][j]) + (mat1_data[n+3] * mat2->data[n+3][j]);
}
}
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int n = (mat1_cols/4) * 4; n < mat1_cols; n++) {
for (int j = 0; j < col; j++) {
result_data[j] += mat1_data[n] * mat2->data[n][j];
}
}
}
return 0;
}
}
int transpose(matrix *original, matrix *trans) {
int original_row = original->rows;
int original_col = original->cols;
#pragma omp parallel for if(original_row >= 100 && original_col >= 100)
for (int i = 0; i < original_row * original_col/4*4; i+=4){
trans->data[i % original_col][i/original_col] = original->data[i/original_col][i % original_col];
trans->data[(i+1) % original_col][(i+1)/original_col] = original->data[(i+1)/original_col][(i + 1) % original_col];
trans->data[(i+2) % original_col][(i +2)/original_col] = original->data[(i + 2)/original_col][(i +2)% original_col];
trans->data[(i+3) % original_col][(i + 3)/original_col] = original->data[(i +3)/original_col][(i +3)% original_col];
}
for (int i =original_row * original_col/4*4;i <original_row * original_col; i++) {
trans->data[i % original_col][i/original_col] = original->data[i/original_col][i % original_col];
}
return 0;
}
/*
* Store the result of multiplying mat1 and mat2 to `result`.
* Return 0 upon success and a nonzero value upon failure.
* Remember that matrix multiplication is not the same as multiplying individual elements.
*/
int mul_matrix(matrix *result, matrix *mat1, matrix *mat2) {
/* TODO: YOUR CODE HERE */
// This is our actual, naive implementation of matmul
/* TODO: YOUR CODE HERE */
// This is our actual, naive implementation of matmul
if (mat1->rows < 300 && mat2->rows<300) {
mul_matrix_Small(result,mat1,mat2 );
}
matrix * mat2_trans;
int mat2_trans_fail = allocate_matrix(&mat2_trans, mat2->cols, mat2->rows);
if (mat2_trans_fail !=0) {
return -3;
}
int transpose_fail = transpose(mat2, mat2_trans);
if (transpose_fail !=0) {
return -1;
}
double** mat1_data = mat1->data;
double** mat2_trans_data = mat2_trans->data;
fill_matrix(result, 0);
#pragma omp parallel for if(mat1->rows >= 500 && mat1->cols >= 500)
for (int i = 0; i < mat1->rows; i++) {
double* result_line_pointer = result->data[i];
__m256d line_result[mat2_trans->rows];
for (int x = 0; x< mat2_trans->rows; x++) {
line_result[x] = _mm256_set1_pd(0);
}
for (int n = 0; n < mat1->cols/16*16; n+=16) {
for (int j = 0; j < mat2_trans->rows; j++) {
line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n), _mm256_loadu_pd(mat2_trans_data[j]+n));
line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+4),_mm256_loadu_pd(mat2_trans_data[j]+n +4));
line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+8), _mm256_loadu_pd(mat2_trans_data[j]+n +8));
line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+12), _mm256_loadu_pd(mat2_trans_data[j]+n +12));
}
}
for (int x = 0; x < mat2_trans->rows/4*4; x+=4){
double A1[4] = {0, 0, 0, 0};
double A2[4] = {0, 0, 0, 0};
double A3[4] = {0, 0, 0, 0};
double A4[4] = {0, 0, 0, 0};
_mm256_storeu_pd(A1, line_result[x]);
_mm256_storeu_pd(A2, line_result[x+1]);
_mm256_storeu_pd(A3, line_result[x+2]);
_mm256_storeu_pd(A4, line_result[x+3]);
result_line_pointer[x] = A1[0] + A1[1] + A1[2] + A1[3];
result_line_pointer[x+1] = A2[0] + A2[1] + A2[2] + A2[3];
result_line_pointer[x+2] = A3[0] + A3[1] + A3[2] + A3[3];
result_line_pointer[x+3] = A4[0] + A4[1] + A4[2] + A4[3];
}
for (int y = mat2_trans->rows/4*4; y< mat2_trans->rows; y++) {
double A[4] = {0, 0, 0, 0};
_mm256_storeu_pd(A, line_result[y]);
result_line_pointer[y] = A[0] + A[1] + A[2] + A[3];
}
for (int n = mat1->cols/16*16; n< mat1->cols; n++){
for (int j = 0; j < mat2_trans->rows; j++) {
result->data[i][j]+= mat1->data[i][n]*mat2_trans->data[j][n];
}
}
}
return 0;
}
// int transpose(matrix *original, matrix *trans) {
// int original_row = original->rows;
// int original_col = original->cols;
// #pragma omp parallel for if(original_row >= 100 && original_col >= 100)
// for (int i = 0; i < original_row * original_col/4*4; i+=4){
// trans->data[i % original_col][i/original_col] = original->data[i/original_col][i % original_col];
// trans->data[(i+1) % original_col][(i+1)/original_col] = original->data[(i+1)/original_col][(i + 1) % original_col];
// trans->data[(i+2) % original_col][(i +2)/original_col] = original->data[(i + 2)/original_col][(i +2)% original_col];
// trans->data[(i+3) % original_col][(i + 3)/original_col] = original->data[(i +3)/original_col][(i +3)% original_col];
// }
// for (int i =original_row * original_col/4*4;i <original_row * original_col; i++) {
// trans->data[i % original_col][i/original_col] = original->data[i/original_col][i % original_col];
// }
// return 0;
// }
// /*
// * Store the result of multiplying mat1 and mat2 to `result`.
// * Return 0 upon success and a nonzero value upon failure.
// * Remember that matrix multiplication is not the same as multiplying individual elements.
// */
// int mul_matrix(matrix *result, matrix *mat1, matrix *mat2) {
// int row = mat1->rows;
// int col = mat2->cols;
// int mat1_cols = mat1->cols;
// fill_matrix(result, 0);
// if (row < 300 && col < 300) {
// for (int i = 0; i < row; i++) {
// double* mat1_data = mat1->data[i];
// double* result_data = result->data[i];
// for (int n = 0; n < mat1_cols; n++) {
// double* mat2_data = mat2->data[n];
// for (int j = 0; j < col; j++) {
// result_data[j] += mat1_data[n] * mat2_data[j];
// __m256d line_result[mat2_trans->rows];
// for (int x = 0; x< mat2_trans->rows; x++) {
// line_result[x] = _mm256_set1_pd(0);
// }
// for (int n = 0; n < mat1->cols/16*16; n+=16) {
// for (int j = 0; j < mat2_trans->rows; j++) {
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n), _mm256_loadu_pd(mat2_trans_data[j]+n));
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+4),_mm256_loadu_pd(mat2_trans_data[j]+n +4));
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+8), _mm256_loadu_pd(mat2_trans_data[j]+n +8));
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+12), _mm256_loadu_pd(mat2_trans_data[j]+n +12));
// }
// }
// for (int x = 0; x < mat2_trans->rows/4*4; x+=4){
// double A1[4] = {0, 0, 0, 0};
// double A2[4] = {0, 0, 0, 0};
// double A3[4] = {0, 0, 0, 0};
// double A4[4] = {0, 0, 0, 0};
// _mm256_storeu_pd(A1, line_result[x]);
// _mm256_storeu_pd(A2, line_result[x+1]);
// _mm256_storeu_pd(A3, line_result[x+2]);
// _mm256_storeu_pd(A4, line_result[x+3]);
// result_line_pointer[x] = A1[0] + A1[1] + A1[2] + A1[3];
// result_line_pointer[x+1] = A2[0] + A2[1] + A2[2] + A2[3];
// result_line_pointer[x+2] = A3[0] + A3[1] + A3[2] + A3[3];
// result_line_pointer[x+3] = A4[0] + A4[1] + A4[2] + A4[3];
// }
// for (int y = mat2_trans->rows/4*4; y< mat2_trans->rows; y++) {
// double A[4] = {0, 0, 0, 0};
// _mm256_storeu_pd(A, line_result[y]);
// result_line_pointer[y] = A[0] + A[1] + A[2] + A[3];
// }
// for (int n = mat1->cols/16*16; n< mat1->cols; n++){
// for (int j = 0; j < mat2_trans->rows; j++) {
// result->data[i][j]+= mat1->data[i][n]*mat2_trans->data[j][n];
// }
// }
// }
// #pragma omp parallel for
// for (int i = 0; i < mat1->rows; i++) {
// #pragma omp parallel for
// __m256d c0 = {0, 0, 0, 0};
// for (int j = 0; j < mat2->cols; j++) {
// result->data[i][j] = 0;
// for (int n = 0; n < mat1->cols; n+=4) {
// result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// }
// }
// }
// //Loop reordering:
// fill_matrix(result, 0);
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int i = 0; i < mat1->rows; i++) {
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int n = 0; n < (mat1->cols/4) * 4; n+=4) {
// for (int j = 0; j < mat2->cols; j++) {
// result->data[i][j] += (mat1->data[i][n] * mat2->data[n][j]) + (mat1->data[i][n+1] * mat2->data[n+1][j]) + (mat1->data[i][n+2] * mat2->data[n+2][j]) + (mat1->data[i][n+3] * mat2->data[n+3][j]);
// }
// }
// }
// return 0;
// } else {
// #pragma omp parallel for if(row >= 300 && col >= 300)
// for (int i = 0; i < row; i++) {
// double* result_data = result->data[i];
// double* mat1_data = mat1->data[i];
// for (int n = 0; n < (mat1_cols/4) * 4; n+=4) {
// for (int j = 0; j < col; j++) {
// result_data[j] += (mat1_data[n] * mat2->data[n][j]) + (mat1_data[n+1] * mat2->data[n+1][j]) + (mat1_data[n+2] * mat2->data[n+2][j]) + (mat1_data[n+3] * mat2->data[n+3][j]);
// }
// }
// for (int n = (mat1_cols/4) * 4; n < mat1_cols; n++) {
// for (int j = 0; j < col; j++) {
// result_data[j] += mat1_data[n] * mat2->data[n][j];
// }
// }
// }
// return 0;
// }
// }
// int mul_matrix(matrix *result, matrix *mat1, matrix *mat2) {
// // This is our actual, naive implementation of matmul
// // This is our actual, naive implementation of matmul
// matrix * mat2_trans;
// int mat2_trans_fail = allocate_matrix(&mat2_trans, mat2->cols, mat2->rows);
// if (mat2_trans_fail !=0) {
// return -3;
// }
// int transpose_fail = transpose(mat2, mat2_trans);
// if (transpose_fail !=0) {
// return -1;
// }
// double** mat1_data = mat1->data;
// double** mat2_trans_data = mat2_trans->data;
// fill_matrix(result, 0);
// #pragma omp parallel for if(mat1->rows >= 100 && mat1->cols >= 100)
// for (int i = 0; i < mat1->rows; i++) {
// double* result_line_pointer = result->data[i];
// __m256d line_result[mat2_trans->rows];
// for (int x = 0; x< mat2_trans->rows; x++) {
// line_result[x] = _mm256_set1_pd(0);
// }
// for (int n = 0; n < mat1->cols/16*16; n+=16) {
// for (int j = 0; j < mat2_trans->rows; j++) {
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n), _mm256_loadu_pd(mat2_trans_data[j]+n));
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+4),_mm256_loadu_pd(mat2_trans_data[j]+n +4));
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+8), _mm256_loadu_pd(mat2_trans_data[j]+n +8));
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+12), _mm256_loadu_pd(mat2_trans_data[j]+n +12));
// }
// }
// for (int x = 0; x < mat2_trans->rows/4*4; x+=4) {
// double A1[4] = {0, 0, 0, 0};
// double A2[4] = {0, 0, 0, 0};
// double A3[4] = {0, 0, 0, 0};
// double A4[4] = {0, 0, 0, 0};
// _mm256_storeu_pd(A1, line_result[x]);
// _mm256_storeu_pd(A2, line_result[x+1]);
// _mm256_storeu_pd(A3, line_result[x+2]);
// _mm256_storeu_pd(A4, line_result[x+3]);
// result_line_pointer[x] = A1[0] + A1[1] + A1[2] + A1[3];
// result_line_pointer[x+1] = A2[0] + A2[1] + A2[2] + A2[3];
// result_line_pointer[x+2] = A3[0] + A3[1] + A3[2] + A3[3];
// result_line_pointer[x+3] = A4[0] + A4[1] + A4[2] + A4[3];
// }
// for (int y = mat2_trans->rows/4*4; y< mat2_trans->rows; y++) {
// double A[4] = {0, 0, 0, 0};
// _mm256_storeu_pd(A, line_result[y]);
// result_line_pointer[y] = A[0] + A[1] + A[2] + A[3];
// }
// for (int n = mat1->cols/16*16; n< mat1->cols; n++){
// for (int j = 0; j < mat2_trans->rows; j++) {
// result->data[i][j]+= mat1->data[i][n]*mat2_trans->data[n][j];
// }
// }
// }
// // #pragma omp parallel for
// // for (int i = 0; i < mat1->rows; i++) {
// // #pragma omp parallel for
// // __m256d c0 = {0, 0, 0, 0};
// // for (int j = 0; j < mat2->cols; j++) {
// // result->data[i][j] = 0;
// // for (int n = 0; n < mat1->cols; n+=4) {
// // result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// // }
// // }
// // }
// // //Loop reordering:
// fill_matrix(result, 0);
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int i = 0; i < mat1->rows; i++) {
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int n = 0; n < (mat1->cols/4) * 4; n+=4) {
// for (int j = 0; j < mat2->cols; j++) {
// result->data[i][j] += (mat1->data[i][n] * mat2->data[n][j]) + (mat1->data[i][n+1] * mat2->data[n+1][j]) + (mat1->data[i][n+2] * mat2->data[n+2][j]) + (mat1->data[i][n+3] * mat2->data[n+3][j]);
// }
// }
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int n = (mat1->cols/4) * 4; n < mat1->cols; n++) {
// for (int j = 0; j < mat2->cols; j++) {
// result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// }
// }
// }
// Loop reordering part 2:
// fill_matrix(result, 0);
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int i = 0; i < mat1->rows; i++) {
// for (int n = 0; n < mat1->cols; n++) {
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int j = 0; j < (mat2->cols/4) * 4; j += 4) {
// result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// result->data[i][j+1] += mat1->data[i][n] * mat2->data[n][j+1];
// result->data[i][j+2] += mat1->data[i][n] * mat2->data[n][j+2];
// result->data[i][j+3] += mat1->data[i][n] * mat2->data[n][j+3];
// }
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int j = (mat2->cols/4) * 4; j < mat2->cols; j++) {
// result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// }
// }
// }
// return 0;
// }
// int mul_matrix(matrix *result, matrix *mat1, matrix *mat2) {
// int row = mat1->rows;
// int col = mat2->cols;
// int mat1_cols = mat1->cols;
// double** mat1_data = mat1->data;
// double** mat2_data = mat2->data;
// fill_matrix(result, 0);
// if (row < 500 && col < 500) {
// #pragma omp parallel for if(row >= 200 && col >= 200)
// for (int i = 0; i < row; i++) {
// double* result_data = result->data[i];
// double* mat1_data = mat1->data[i];
// for (int n = 0; n < (mat1_cols/4) * 4; n+=4) {
// for (int j = 0; j < col; j++) {
// result_data[j] += (mat1_data[n] * mat2->data[n][j]) + (mat1_data[n+1] * mat2->data[n+1][j]) + (mat1_data[n+2] * mat2->data[n+2][j]) + (mat1_data[n+3] * mat2->data[n+3][j]);
// }
// }
// for (int n = (mat1_cols/4) * 4; n < mat1_cols; n++) {
// for (int j = 0; j < col; j++) {
// result_data[j] += mat1_data[n] * mat2->data[n][j];
// }
// }
// }
// }
// else {
// #pragma omp parallel for if(row >= 500 && col >= 500)
// for (int i = 0; i < row; i++) {
// __m256d line_result[col];
// double* result_data = result->data[i];
// for (int x = 0; x < col; x++) {
// line_result[x] = _mm256_set1_pd(0);
// }
// for (int n = 0; n < mat1_cols/16*16; n += 16) {
// for (int j = 0; j < col; j++) {
// __m256d four_elem1 = _mm256_set_pd(mat2_data[n+3][j], mat2_data[n+2][j], mat2_data[n+1][j], mat2_data[n][j]);
// __m256d four_elem2 = _mm256_set_pd(mat2_data[n+7][j], mat2_data[n+6][j], mat2_data[n+5][j], mat2_data[n+4][j]);
// __m256d four_elem3 = _mm256_set_pd(mat2_data[n+11][j], mat2_data[n+10][j], mat2_data[n+9][j], mat2_data[n+8][j]);
// __m256d four_elem4 = _mm256_set_pd(mat2_data[n+15][j], mat2_data[n+14][j], mat2_data[n+13][j], mat2_data[n+12][j]);
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n), four_elem1);
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+4), four_elem2);
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+8), four_elem3);
// line_result[j] += _mm256_mul_pd(_mm256_loadu_pd(mat1_data[i]+n+12), four_elem4);
// }
// }
// for (int x = 0; x < col/4*4; x+=4) {
// double A1[4] = {0, 0, 0, 0};
// double A2[4] = {0, 0, 0, 0};
// double A3[4] = {0, 0, 0, 0};
// double A4[4] = {0, 0, 0, 0};
// _mm256_storeu_pd(A1, line_result[x]);
// _mm256_storeu_pd(A2, line_result[x+1]);
// _mm256_storeu_pd(A3, line_result[x+2]);
// _mm256_storeu_pd(A4, line_result[x+3]);
// result_data[x] = A1[0] + A1[1] + A1[2] + A1[3];
// result_data[x+1] = A2[0] + A2[1] + A2[2] + A2[3];
// result_data[x+2] = A3[0] + A3[1] + A3[2] + A3[3];
// result_data[x+3] = A4[0] + A4[1] + A4[2] + A4[3];
// }
// for (int y = col/4*4; y < col; y++) {
// double A[4] = {0, 0, 0, 0};
// _mm256_storeu_pd(A, line_result[y]);
// result_data[y] = A[0] + A[1] + A[2] + A[3];
// }
// for (int n = mat1_cols/16*16; n < mat1_cols; n++) {
// for (int j = 0; j < mat2->cols; j++) {
// result_data[j] += mat1_data[i][n] * mat2_data[n][j];
// }
// }
// }
// }
// // #pragma omp parallel for
// // for (int i = 0; i < mat1->rows; i++) {
// // #pragma omp parallel for
// // __m256d c0 = {0, 0, 0, 0};
// // for (int j = 0; j < mat2->cols; j++) {
// // result->data[i][j] = 0;
// // for (int n = 0; n < mat1->cols; n+=4) {
// // result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// // }
// // }
// // }
// // //Loop reordering:
// fill_matrix(result, 0);
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int i = 0; i < mat1->rows; i++) {
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int n = 0; n < (mat1->cols/4) * 4; n+=4) {
// for (int j = 0; j < mat2->cols; j++) {
// result->data[i][j] += (mat1->data[i][n] * mat2->data[n][j]) + (mat1->data[i][n+1] * mat2->data[n+1][j]) + (mat1->data[i][n+2] * mat2->data[n+2][j]) + (mat1->data[i][n+3] * mat2->data[n+3][j]);
// }
// }
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int n = (mat1->cols/4) * 4; n < mat1->cols; n++) {
// for (int j = 0; j < mat2->cols; j++) {
// result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// }
// }
// }
// Loop reordering part 2:
// fill_matrix(result, 0);
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int i = 0; i < mat1->rows; i++) {
// for (int n = 0; n < mat1->cols; n++) {
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int j = 0; j < (mat2->cols/4) * 4; j += 4) {
// result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// result->data[i][j+1] += mat1->data[i][n] * mat2->data[n][j+1];
// result->data[i][j+2] += mat1->data[i][n] * mat2->data[n][j+2];
// result->data[i][j+3] += mat1->data[i][n] * mat2->data[n][j+3];
// }
// #pragma omp parallel for if(mat1->rows >= 1000 && mat1->cols >= 1000)
// for (int j = (mat2->cols/4) * 4; j < mat2->cols; j++) {
// result->data[i][j] += mat1->data[i][n] * mat2->data[n][j];
// }
// }
// }
// return 0;
// }
// int pow_matrixsimd_(int n, matrix *mat1, matrix *mat2, matrix *product) {
// double* data1 = mat1->data[0];
// double* data2 = mat2->data[0];
// double* result = product->data[0];
// for (int i = 0; i < n; i += 16) {
// for(int j = 0; j < n; j++) {
// __m256d c[4];
// for (int x = 0; x < 4; x++) {
// c[x] = _mm256_load_pd(result + i + x*4 + j*n);
// for (int k = 0; k < n; k++) {
// __m256d b = _mm256_broadcast_sd(data2+k+j*n);
// for (int x = 0; x < 4; x++) {
// c[x] = _mm256_add_pd(c[x],_mm256_mul_pd(_mm256_load_pd(data1+n*k+x*4+i), b));
// }
// for (int x = 0; x < 4; x++) {
// _mm256_store_pd(result+i+x*4+j*n, c[x]);
// }
// }
// }
// }
// }
// return 0;
// }
//
// int pow_matrix1(matrix *result, matrix *mat, int pow) {
// if (pow < 0) {
// return -3;
// }
// if (mat->rows != mat->cols) {
// return -2;
// }
// if (pow == 0) {
// #pragma omp parallel for if (mat->rows >= 1000 && mat->cols >= 1000)
// for (int i = 0; i < result->rows; i++) {
// for (int j = 0; j < result->cols; j++) {
// if (i == j) {
// result->data[i][j] = 1;
// }
// else {
// result->data[i][j] = 0;
// }
// }
// }
// return 0;
// }
//
//
// if (pow == 1) {
// double* base = result->data[0];
// double* template = mat->data[0];
// #pragma omp parallel for if (mat->rows >= 1000 && mat->cols >= 1000)
// for (int i = 0; i < ((mat->rows * mat->cols)/4 * 4); i += 4){
// base[i] = template[i];
// base[i+1] = template[i+1];
// base[i+2] = template[i+2];
// base[i+3] = template[i+3];
// }
// #pragma omp parallel for if (mat->rows >= 1000 && mat->cols >= 1000)
// for (int i = ((mat->rows * mat->cols)/4 * 4); i < (mat->rows * mat->cols); i++){
// base[i] = template[i];
//
// }
// return 0;
//
// } else {
// int row = mat->rows;
// int col = mat->cols;
// result2 = (matrix**) malloc(sizeof(matrix));
// matrix *y;
// int allocate_failed = allocate_matrix(&y, row, col);
// if (allocate_failed != 0) {
// return -3;
// }
// #pragma omp parallel for if (mat->rows >= 1000 && mat->cols >= 1000)
// for (int i = 0; i < row; i++) {
// for (int j = 0; j < col; j++) {
// if (i == j) {
// y->data[i][j] = 1;
// }
// else {
// y->data[i][j] = 0;
// }
// }
// }
// result2 = result * z
// Chage pointer so result->data = result2->data
// result2->data = result->data (old data that we dob't care about that can be changed)
//
//
// Outside if statement:
// pow = pow >> 1;
// result2 = z * z
// Change pointer to z = result2;
// result2->data would be old value of z
// END:
// result would give us the data we want
// // while (pow > 1) {
// // if (pow &1) {
// // mul_matrix(result2, result, mat);
// // } else {
// // pow = pow >>1;
// // return 0;
// //
// //
// // }
// //
//
// // if (pow %2 ==0) {
// // mul_matrix(result2, mat, mat);
// // pow = pow >>>1;
// // } else {
// // mul_matrix(result3, result2, y);
// // mul_matrix(result4, result2,result2);
// // pow = pow-1;
// // pow = pow>>>1;
// //
// }
// }
// }
// return 0;
//
//
//
// }
//
/*
* Store the result of raising mat to the (pow)th power to `result`.
* Return 0 upon success and a nonzero value upon failure.
* Remember that pow is defined with matrix multiplication, not element-wise multiplication.
*/
int pow_matrix(matrix *result, matrix *mat, int pow) {
int row = mat->rows;
int col = mat->cols;
int size = row * col;
if (pow == 1) {
double* base = result->data[0];
double* template = mat->data[0];
#pragma omp parallel for if (mat->rows >= 350 && mat->cols >= 350)
for (int i = 0; i < ((mat->rows * mat->cols)/4 * 4); i += 4) {
base[i] = template[i];
base[i+1] = template[i+1];
base[i+2] = template[i+2];
base[i+3] = template[i+3];
}
#pragma omp parallel for if (row >= 350 && col >= 350)
for (int i = (size/4 * 4); i < size; i++){
base[i] = template[i];
}
return 0;
}
if (pow == 2) {
mul_matrix(result, mat, mat);
return 0;
}
//Creates identity matrix in result
double** result_data = result->data;
#pragma omp parallel for if (row >= 350 && col >= 350)
for (int i = 0; i < row; i++) {
for (int j = 0; j < col; j++) {
if (i == j) {
result_data[i][j] = 1;
}
else {
result_data[i][j] = 0;
}
}
}
//We utilized this link to gain a better visualization of repeated squaring for this part: https://www.geeksforgeeks.org/write-an-iterative-olog-y-function-for-powx-y/
if (pow > 2) {
matrix *temp;
int allocate_failed = allocate_matrix(&temp, row, col);
if (allocate_failed != 0) {
return -3;
}
matrix *z;
int allocate_failed1 = allocate_matrix(&z, row, col);
if (allocate_failed1 != 0) {
return -3;
}
mul_matrix(z, mat, result);
while (pow > 0) {
if (pow & 1) {
mul_matrix(temp, result, z);
double** middle = result->data;
result->data = temp->data;
temp->data = middle;
}
pow = pow >> 1;
mul_matrix(temp, z, z);
double** placeholder = z->data;
z->data = temp->data;
temp->data = placeholder;
}
deallocate_matrix(temp);
deallocate_matrix(z);
}
return 0;
}
/*
* Store the result of element-wise negating mat's entries to `result`.
* Return 0 upon success and a nonzero value upon failure.
*/
int neg_matrix(matrix *result, matrix *mat) {
double* base = mat->data[0];
double* new_base = result->data[0];
int row = mat->rows;
int col = mat->cols;
int size = row * col;
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = 0; i < size/4 * 4; i += 4) {
new_base[i] = - base[i];
new_base[i+1] = - base[i+1];
new_base[i+2] = - base[i+2];
new_base[i+3] = - base[i+3];
}
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = size/4 * 4; i < size; i++) {
new_base[i] = - base[i];
}
return 0;
}
/*
* Store the result of taking the absolute value element-wise to `result`.
* Return 0 upon success and a nonzero value upon failure.
*/
int abs_matrix(matrix *result, matrix *mat) {
double* base = mat->data[0];
double* new_base = result->data[0];
int row = mat->rows;
int col = mat->cols;
int size = row * col;
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = 0; i < size/4 * 4; i += 4) {
(base[i] < 0) ? (new_base[i] = -(base[i])) : (new_base[i] = base[i]);
(base[i+1] < 0) ? (new_base[i+1] = -(base[i+1])) : (new_base[i+1] = base[i+1]);
(base[i+2] < 0) ? (new_base[i+2] = -(base[i+2])) : (new_base[i+2] = base[i+2]);
(base[i+3] < 0) ? (new_base[i+3] = -(base[i+3])) : (new_base[i+3] = base[i+3]);
}
#pragma omp parallel for if(row >= 350 && col >= 350)
for (int i = size/4 * 4; i < size; i++) {
(base[i] < 0) ? (new_base[i] = -(base[i])) : (new_base[i] = base[i]);
}
return 0;
}
|
SlicedC02BasedTraversal.h | /**
* @file SlicedC02BasedTraversal.h
*
* @date 24 May 2020
* @author fischerv
*/
#pragma once
#include <algorithm>
#include "autopas/containers/cellPairTraversals/SlicedBasedTraversal.h"
#include "autopas/utils/DataLayoutConverter.h"
#include "autopas/utils/ThreeDimensionalMapping.h"
#include "autopas/utils/WrapOpenMP.h"
namespace autopas {
/**
* This class provides the colored sliced traversal.
*
* The traversal finds the longest dimension of the simulation domain and cuts
* the domain into as many slices as possible along this dimension. Unlike the regular
* sliced traversal, this version uses a 2-coloring to prevent race conditions, instead of
* locking the starting layers. This could also be describes as a c02-traversal. This class
* is however not derived from CBasedTraversal, as that would not allow varying slice thicknesses,
* and would prevent us from selecting the dimension in which we cut the slices.
*
* @tparam ParticleCell The type of cells.
* @tparam PairwiseFunctor The functor that defines the interaction of two particles.
* @tparam dataLayout
* @tparam useNewton3
* @tparam spaciallyForward Whether the base step only covers neigboring cells tha are spacially forward (for example
* c08)
*/
template <class ParticleCell, class PairwiseFunctor, DataLayoutOption::Value dataLayout, bool useNewton3,
bool spaciallyForward>
class SlicedC02BasedTraversal
: public SlicedBasedTraversal<ParticleCell, PairwiseFunctor, dataLayout, useNewton3, spaciallyForward> {
public:
/**
* Constructor of the colored sliced traversal.
* @param dims The dimensions of the cellblock, i.e. the number of cells in x,
* y and z direction.
* @param pairwiseFunctor The functor that defines the interaction of two particles.
* @param interactionLength Interaction length (cutoff + skin).
* @param cellLength cell length.
*/
explicit SlicedC02BasedTraversal(const std::array<unsigned long, 3> &dims, PairwiseFunctor *pairwiseFunctor,
const double interactionLength, const std::array<double, 3> &cellLength)
: SlicedBasedTraversal<ParticleCell, PairwiseFunctor, dataLayout, useNewton3, spaciallyForward>(
dims, pairwiseFunctor, interactionLength, cellLength) {}
/**
* The main traversal of the colored sliced traversal.
* This provides the structure of the loops and its parallelization.
*
* @copydetails C01BasedTraversal::c01Traversal()
*
*/
template <typename LoopBody>
inline void cSlicedTraversal(LoopBody &&loopBody);
/**
* Checks if the traversal is applicable to the current state of the domain.
* @return true iff the traversal can be applied.
*/
[[nodiscard]] bool isApplicable() const override {
return this->_cellsPerDimension[this->_dimsPerLength[0]] >= this->_overlapLongestAxis;
}
/**
* Load Data Layouts and sets up slice thicknesses.
*/
void initTraversal() override {
this->loadDataLayout();
// split domain across its longest dimension
auto minSliceThickness = this->_overlapLongestAxis;
this->initSliceThickness(minSliceThickness);
}
};
template <class ParticleCell, class PairwiseFunctor, DataLayoutOption::Value dataLayout, bool useNewton3,
bool spaciallyForward>
template <typename LoopBody>
void SlicedC02BasedTraversal<ParticleCell, PairwiseFunctor, dataLayout, useNewton3, spaciallyForward>::cSlicedTraversal(
LoopBody &&loopBody) {
using std::array;
auto numSlices = this->_sliceThickness.size();
// check if applicable
std::array<size_t, 2> overLapps23{this->_overlap[this->_dimsPerLength[1]], this->_overlap[this->_dimsPerLength[2]]};
if (not spaciallyForward) {
overLapps23 = {0ul, 0ul};
}
for (size_t offset = 0; offset < 2; offset++) {
#ifdef AUTOPAS_OPENMP
// although every thread gets exactly one iteration (=slice) this is faster than a normal parallel region
#pragma omp parallel for schedule(dynamic, 1)
#endif
for (size_t slice = offset; slice < numSlices; slice += 2) {
array<unsigned long, 3> myStartArray{0, 0, 0};
for (size_t i = 0; i < slice; ++i) {
myStartArray[this->_dimsPerLength[0]] += this->_sliceThickness[i];
}
const auto lastLayer = myStartArray[this->_dimsPerLength[0]] + this->_sliceThickness[slice];
for (unsigned long dimSlice = myStartArray[this->_dimsPerLength[0]]; dimSlice < lastLayer; ++dimSlice) {
for (unsigned long dimMedium = 0;
dimMedium < this->_cellsPerDimension[this->_dimsPerLength[1]] - overLapps23[0]; ++dimMedium) {
for (unsigned long dimShort = 0;
dimShort < this->_cellsPerDimension[this->_dimsPerLength[2]] - overLapps23[1]; ++dimShort) {
array<unsigned long, 3> idArray = {};
idArray[this->_dimsPerLength[0]] = dimSlice;
idArray[this->_dimsPerLength[1]] = dimMedium;
idArray[this->_dimsPerLength[2]] = dimShort;
loopBody(idArray[0], idArray[1], idArray[2]);
}
}
}
}
}
}
} // namespace autopas
|
parallel.c | /* Copyright (C) 2005-2014 Free Software Foundation, Inc.
C ontributed by Richard Henderson <r*th@redhat.com>.
This file is part of the GNU OpenMP Library (libgomp).
Libgomp is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 3, or (at your option)
any later version.
Libgomp is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the GNU General Public License for
more details.
Under Section 7 of GPL version 3, you are granted additional
permissions described in the GCC Runtime Library Exception, version
3.1, as published by the Free Software Foundation.
You should have received a copy of the GNU General Public License and
a copy of the GCC Runtime Library Exception along with this program;
see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
<http://www.gnu.org/licenses/>. */
/* Copyright 2014 DEI - Universita' di Bologna
author DEI - Universita' di Bologna
Alessandro Capotondi - alessandro.capotondi@unibo.it
info #pragma omp parallel implementation */
#include <gap_cluster.h>
#include "libgomp.h"
void
GOMP_parallel_start (void *fn, void *data, int num_threads)
{
/* The thread descriptor for slaves of the newly-created team */
gomp_team_t *new_team;
gomp_team_start (fn, data, num_threads, &new_team);
MSGBarrier_hwRelease( new_team->team^(0x1<<new_team->proc_ids[0]) );
}
void
GOMP_parallel_end (void)
{
uint32_t pid = get_proc_id();
gomp_team_t *team = (gomp_team_t *) gomp_get_curr_team(pid);
MSGBarrier_hwWait( team->barrier_id, team->nthreads, 0x1U<<pid );
gomp_team_end();
}
void
GOMP_parallel (void (*fn) (void*), void *data, int num_threads, unsigned int flags)
{
/* The thread descriptor for slaves of the newly-created team */
gomp_team_t *new_team;
gomp_team_start (fn, data, num_threads, &new_team);
MSGBarrier_hwRelease( new_team->team^(0x1<<new_team->proc_ids[0]) );
fn(data);
GOMP_parallel_end();
}
/* The public OpenMP API for thread and team related inquiries. */
int
omp_get_num_threads()
{
uint32_t pid = get_proc_id();
return CURR_TEAM(pid)->nthreads;
}
int
omp_get_max_threads(void)
{
return GLOBAL_IDLE_CORES + 1;
}
int
omp_get_thread_num()
{
uint32_t pid = get_proc_id();
return CURR_TEAM(pid)->thread_ids[pid];
}
int
omp_in_parallel()
{
uint32_t pid = get_proc_id();
return CURR_TEAM(pid)->level != 0;
}
int
omp_get_num_procs(void)
{
return get_num_procs();
}
|
omp_nested.c | // RUN: %libomp-compile-and-run
#include <stdio.h>
#include "omp_testsuite.h"
/*
* Test if the compiler supports nested parallelism
* By Chunhua Liao, University of Houston
* Oct. 2005
*/
int test_omp_nested()
{
#ifdef _OPENMP
if (omp_get_max_threads() > 4)
omp_set_num_threads(4);
#endif
int counter = 0;
#ifdef _OPENMP
omp_set_nested(1);
#endif
#pragma omp parallel shared(counter)
{
#pragma omp critical
counter++;
#pragma omp parallel
{
#pragma omp critical
counter--;
}
}
return (counter != 0);
}
int main()
{
int i;
int num_failed=0;
for(i = 0; i < REPETITIONS; i++) {
if(!test_omp_nested()) {
num_failed++;
}
}
return num_failed;
}
|
3d7pt.c | /*
* 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] = 24;
tile_size[3] = 512;
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
#pragma scop
for (t = 0; t < Nt-1; t++) {
for (i = 1; i < Nz-1; i++) {
for (j = 1; j < Ny-1; j++) {
for (k = 1; k < Nx-1; k++) {
A[(t+1)%2][i][j][k] = alpha * (A[t%2][i][j][k])
+ beta * (A[t%2][i - 1][j][k] + A[t%2][i][j - 1][k] + A[t%2][i][j][k - 1] +
A[t%2][i + 1][j][k] + A[t%2][i][j + 1][k] + A[t%2][i][j][k + 1]);
}
}
}
}
#pragma endscop
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(1, "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;
}
|
MergeSort.c | #include <stdio.h>
#include <stdlib.h>
#include "omp.h"
#define MAX 100
#define STEPS 100
void generate_random_array(int arr[MAX], int N) {
int i;
for (i = 0; i < N; i++) {
arr[i] = rand() % 1000;
}
}
void merge_sort(int arr[MAX], int low, int high) {
int N = high - low;
int mid = low + N/2;
if (N <= 1) return;
#pragma omp parallel sections
{
#pragma omp section
merge_sort(arr, low, mid);
#pragma omp section
merge_sort(arr, mid, high);
}
int temp[N], i = low, j = mid, k;
for (k = 0; k < N; k++) {
if (j == high) temp[k] = arr[i++];
else if (i == mid) temp[k] = arr[j++];
else if (arr[i] < arr[j]) temp[k] = arr[i++];
else temp[k] = arr[j++];
}
for (k = 0; k < N; k++)
arr[low + k] = temp[k];
}
int main() {
printf ("Merge sort algorithm\n");
omp_set_num_threads(5);
int i, j;
int arr[MAX];
for (i = 100; i <= MAX; i += STEPS) {
printf ("\nGenerating random array of size %d \n", i);
generate_random_array(arr, i);
printf ("\nSorting\n");
merge_sort(arr, 0, i);
for (j = 0; j < i; j++)
printf ("%d ", arr[j]);
printf ("\n");
}
return 0;
}
|
par_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_BoomerAMGBuildInterp
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildInterp( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(A);
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 = hypre_CSRMatrixJ(S_offd);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
hypre_CSRMatrix *A_ext;
HYPRE_Real *A_ext_data = NULL;
HYPRE_Int *A_ext_i = NULL;
HYPRE_BigInt *A_ext_j = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int *P_marker, *P_marker_offd;
HYPRE_Int jj_counter, jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int jj_begin_row, jj_begin_row_offd;
HYPRE_Int jj_end_row, jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int strong_f_marker;
HYPRE_Int *fine_to_coarse;
//HYPRE_Int *fine_to_coarse_offd;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int num_cols_P_offd;
HYPRE_Int i, i1, i2;
HYPRE_Int j, jl, jj, jj1;
HYPRE_Int kc;
HYPRE_BigInt big_k;
HYPRE_Int start;
HYPRE_Int sgn;
HYPRE_Int c_num;
HYPRE_Real diagonal;
HYPRE_Real sum;
HYPRE_Real distribute;
HYPRE_Real zero = 0.0;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int print_level = 0;
HYPRE_Int *int_buf_data;
HYPRE_BigInt col_1 = hypre_ParCSRMatrixFirstRowIndex(A);
HYPRE_Int local_numrows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_BigInt col_n = col_1 + (HYPRE_BigInt)local_numrows;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
num_threads = hypre_NumThreads();
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs - 1)) { total_global_cpts = num_cpts_global[1]; }
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs - 1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag < 0)
{
debug_flag = -debug_flag;
print_level = 1;
}
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
if (num_cols_A_offd) { CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST); }
if (num_functions > 1 && num_cols_A_offd)
{
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends),
HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
{
int_buf_data[index++] = CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
{
int_buf_data[index++] = dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*----------------------------------------------------------------------
* Get the ghost rows of A
*---------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
if (num_procs > 1)
{
A_ext = hypre_ParCSRMatrixExtractBExt(A, A, 1);
A_ext_i = hypre_CSRMatrixI(A_ext);
A_ext_j = hypre_CSRMatrixBigJ(A_ext);
A_ext_data = hypre_CSRMatrixData(A_ext);
}
index = 0;
for (i = 0; i < num_cols_A_offd; i++)
{
for (j = A_ext_i[i]; j < A_ext_i[i + 1]; j++)
{
big_k = A_ext_j[j];
if (big_k >= col_1 && big_k < col_n)
{
A_ext_j[index] = big_k - col_1;
A_ext_data[index++] = A_ext_data[j];
}
else
{
kc = hypre_BigBinarySearch(col_map_offd, big_k, num_cols_A_offd);
if (kc > -1)
{
A_ext_j[index] = (HYPRE_BigInt)(-kc - 1);
A_ext_data[index++] = A_ext_data[j];
}
}
}
A_ext_i[i] = index;
}
for (i = num_cols_A_offd; i > 0; i--)
{
A_ext_i[i] = A_ext_i[i - 1];
}
if (num_procs > 1) { A_ext_i[0] = 0; }
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 2 Get A_ext = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) { fine_to_coarse[i] = -1; }
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (j < rest)
{
ns = j * size + j;
ne = (j + 1) * size + j + 1;
}
else
{
ns = j * size + rest;
ne = (j + 1) * size + rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is from the C-points that
* strongly influence i.
*--------------------------------------------------------------------*/
else
{
for (jj = S_diag_i[i]; jj < S_diag_i[i + 1]; jj++)
{
i1 = S_diag_j[jj];
if (CF_marker[i1] >= 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i + 1]; jj++)
{
i1 = S_offd_j[jj];
if (CF_marker_offd[i1] >= 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i = 0; i < num_threads - 1; i++)
{
coarse_counter[i + 1] += coarse_counter[i];
jj_count[i + 1] += jj_count[i];
jj_count_offd[i + 1] += jj_count_offd[i];
}
i = num_threads - 1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_DEVICE);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) { coarse_shift = coarse_counter[j - 1]; }
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (j < rest)
{
ns = j * size + j;
ne = (j + 1) * size + j + 1;
}
else
{
ns = j * size + rest;
ne = (j + 1) * size + rest;
}
for (i = ns; i < ne; i++)
{
fine_to_coarse[i] += coarse_shift;
}
//fine_to_coarse[i] += my_first_cpt+coarse_shift;
}
/*index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt; */
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,i2,jj,jj1,ns,ne,size,rest,sum,diagonal,distribute,P_marker,P_marker_offd,strong_f_marker,jj_counter,jj_counter_offd,sgn,c_num,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd) HYPRE_SMP_SCHEDULE
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (jl < rest)
{
ns = jl * size + jl;
ne = (jl + 1) * size + jl + 1;
}
else
{
ns = jl * size + rest;
ne = (jl + 1) * size + rest;
}
jj_counter = 0;
if (jl > 0) { jj_counter = jj_count[jl - 1]; }
jj_counter_offd = 0;
if (jl > 0) { jj_counter_offd = jj_count_offd[jl - 1]; }
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
{
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
else
{
P_marker_offd = NULL;
}
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
strong_f_marker = -2;
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
jj_begin_row = jj_counter;
for (jj = S_diag_i[i]; jj < S_diag_i[i + 1]; jj++)
{
i1 = S_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = zero;
jj_counter++;
}
/*--------------------------------------------------------------
* If neighbor i1 is an F-point, mark it as a strong F-point
* whose connection needs to be distributed.
*--------------------------------------------------------------*/
else if (CF_marker[i1] != -3)
{
P_marker[i1] = strong_f_marker;
}
}
jj_end_row = jj_counter;
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
jj_begin_row_offd = jj_counter_offd;
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i + 1]; jj++)
{
i1 = S_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
/*P_offd_j[jj_counter_offd] = fine_to_coarse_offd[i1];*/
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = zero;
jj_counter_offd++;
}
/*-----------------------------------------------------------
* If neighbor i1 is an F-point, mark it as a strong F-point
* whose connection needs to be distributed.
*-----------------------------------------------------------*/
else if (CF_marker_offd[i1] != -3)
{
P_marker_offd[i1] = strong_f_marker;
}
}
}
jj_end_row_offd = jj_counter_offd;
diagonal = A_diag_data[A_diag_i[i]];
/* Loop over ith row of A. First, the diagonal part of A */
for (jj = A_diag_i[i] + 1; jj < A_diag_i[i + 1]; jj++)
{
i1 = A_diag_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker[i1] >= jj_begin_row)
{
P_diag_data[P_marker[i1]] += A_diag_data[jj];
}
/*--------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and strongly influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
*--------------------------------------------------------------*/
else if (P_marker[i1] == strong_f_marker)
{
sum = zero;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*-----------------------------------------------------------*/
sgn = 1;
if (A_diag_data[A_diag_i[i1]] < 0) { sgn = -1; }
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1 + 1]; jj1++)
{
i2 = A_diag_j[jj1];
if (P_marker[i2] >= jj_begin_row &&
(sgn * A_diag_data[jj1]) < 0)
{
sum += A_diag_data[jj1];
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1 + 1]; jj1++)
{
i2 = A_offd_j[jj1];
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn * A_offd_data[jj1]) < 0)
{
sum += A_offd_data[jj1];
}
}
}
if (sum != 0)
{
distribute = A_diag_data[jj] / sum;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and do the distribution.
*-----------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1 + 1]; jj1++)
{
i2 = A_diag_j[jj1];
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_diag_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_diag_data[jj1];
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1 + 1]; jj1++)
{
i2 = A_offd_j[jj1];
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn * A_offd_data[jj1]) < 0)
{
P_offd_data[P_marker_offd[i2]]
+= distribute * A_offd_data[jj1];
}
}
}
}
else
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
{
diagonal += A_diag_data[jj];
}
}
}
/*--------------------------------------------------------------
* Case 3: neighbor i1 weakly influences i, accumulate a_{i,i1}
* into the diagonal.
*--------------------------------------------------------------*/
else if (CF_marker[i1] != -3)
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
{
diagonal += A_diag_data[jj];
}
}
}
/*----------------------------------------------------------------
* Still looping over ith row of A. Next, loop over the
* off-diagonal part of A
*---------------------------------------------------------------*/
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i + 1]; jj++)
{
i1 = A_offd_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker_offd[i1] >= jj_begin_row_offd)
{
P_offd_data[P_marker_offd[i1]] += A_offd_data[jj];
}
/*------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and strongly influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
*-----------------------------------------------------------*/
else if (P_marker_offd[i1] == strong_f_marker)
{
sum = zero;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*---------------------------------------------------------*/
/* find row number */
c_num = A_offd_j[jj];
sgn = 1;
if (A_ext_data[A_ext_i[c_num]] < 0) { sgn = -1; }
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num + 1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (i2 > -1)
{
/* in the diagonal block */
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2 - 1] >= jj_begin_row_offd
&& (sgn * A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
}
if (sum != 0)
{
distribute = A_offd_data[jj] / sum;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and do
* the distribution.
*--------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num + 1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (i2 > -1) /* in the diagonal block */
{
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_ext_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2 - 1] >= jj_begin_row_offd
&& (sgn * A_ext_data[jj1]) < 0)
P_offd_data[P_marker_offd[-i2 - 1]]
+= distribute * A_ext_data[jj1];
}
}
}
else
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
{
diagonal += A_offd_data[jj];
}
}
}
/*-----------------------------------------------------------
* Case 3: neighbor i1 weakly influences i, accumulate a_{i,i1}
* into the diagonal.
*-----------------------------------------------------------*/
else if (CF_marker_offd[i1] != -3)
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
{
diagonal += A_offd_data[jj];
}
}
}
}
/*-----------------------------------------------------------------
* Set interpolation weight by dividing by the diagonal.
*-----------------------------------------------------------------*/
if (diagonal == 0.0)
{
if (print_level)
{
hypre_printf(" Warning! zero diagonal! Proc id %d row %d\n", my_id, i);
}
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] = 0.0;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] = 0.0;
}
}
else
{
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] /= -diagonal;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] /= -diagonal;
}
}
}
strong_f_marker--;
P_offd_i[i + 1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, 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 */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, 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_diag_size = P_diag_i[n_fine];
P_offd_size = P_offd_i[n_fine];
}
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker[i] = 0;
}
num_cols_P_offd = 0;
for (i = 0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_cols_P_offd; i++)
{
while (P_marker[index] == 0) { index++; }
tmp_map_offd[i] = index++;
}
#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] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i = 0; i < n_fine; i++)
{
if (CF_marker[i] == -3) { CF_marker[i] = -1; }
}
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P, A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
//hypre_TFree(fine_to_coarse_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
if (num_procs > 1) { hypre_CSRMatrixDestroy(A_ext); }
return hypre_error_flag;
}
/*---------------------------------------------------------------------------
* hypre_BoomerAMGBuildInterpHE
* interpolation routine for hyperbolic PDEs
* treats weak fine connections like strong fine connections
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildInterpHE( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(A);
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 = hypre_CSRMatrixJ(S_offd);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
hypre_CSRMatrix *A_ext;
HYPRE_Real *A_ext_data = NULL;
HYPRE_Int *A_ext_i = NULL;
HYPRE_BigInt *A_ext_j = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int *P_marker, *P_marker_offd;
HYPRE_Int jj_counter, jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int jj_begin_row, jj_begin_row_offd;
HYPRE_Int jj_end_row, jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int *fine_to_coarse;
//HYPRE_Int *fine_to_coarse_offd;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int num_cols_P_offd;
HYPRE_Int i, i1, i2;
HYPRE_Int j, jl, jj, jj1;
HYPRE_Int kc;
HYPRE_BigInt big_k;
HYPRE_Int start;
HYPRE_Int sgn;
HYPRE_Int c_num;
HYPRE_Real diagonal;
HYPRE_Real sum;
HYPRE_Real distribute;
HYPRE_Real zero = 0.0;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int *int_buf_data;
HYPRE_BigInt col_1 = hypre_ParCSRMatrixFirstRowIndex(A);
HYPRE_Int local_numrows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_BigInt col_n = col_1 + local_numrows;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
num_threads = hypre_NumThreads();
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs - 1)) { total_global_cpts = num_cpts_global[1]; }
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs - 1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
if (num_cols_A_offd) { CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST); }
if (num_functions > 1 && num_cols_A_offd)
{
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends),
HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
int_buf_data[index++]
= dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data, dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*----------------------------------------------------------------------
* Get the ghost rows of A
*---------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
if (num_procs > 1)
{
A_ext = hypre_ParCSRMatrixExtractBExt(A, A, 1);
A_ext_i = hypre_CSRMatrixI(A_ext);
A_ext_j = hypre_CSRMatrixBigJ(A_ext);
A_ext_data = hypre_CSRMatrixData(A_ext);
}
index = 0;
for (i = 0; i < num_cols_A_offd; i++)
{
for (j = A_ext_i[i]; j < A_ext_i[i + 1]; j++)
{
big_k = A_ext_j[j];
if (big_k >= col_1 && big_k < col_n)
{
A_ext_j[index] = big_k - col_1;
A_ext_data[index++] = A_ext_data[j];
}
else
{
kc = hypre_BigBinarySearch(col_map_offd, big_k, num_cols_A_offd);
if (kc > -1)
{
A_ext_j[index] = (HYPRE_BigInt)(-kc - 1);
A_ext_data[index++] = A_ext_data[j];
}
}
}
A_ext_i[i] = index;
}
for (i = num_cols_A_offd; i > 0; i--)
{
A_ext_i[i] = A_ext_i[i - 1];
}
if (num_procs > 1) { A_ext_i[0] = 0; }
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 2 Get A_ext = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) { fine_to_coarse[i] = -1; }
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (j < rest)
{
ns = j * size + j;
ne = (j + 1) * size + j + 1;
}
else
{
ns = j * size + rest;
ne = (j + 1) * size + rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is from the C-points that
* strongly influence i.
*--------------------------------------------------------------------*/
else
{
for (jj = S_diag_i[i]; jj < S_diag_i[i + 1]; jj++)
{
i1 = S_diag_j[jj];
if (CF_marker[i1] >= 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i + 1]; jj++)
{
i1 = S_offd_j[jj];
if (CF_marker_offd[i1] >= 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i = 0; i < num_threads - 1; i++)
{
coarse_counter[i + 1] += coarse_counter[i];
jj_count[i + 1] += jj_count[i];
jj_count_offd[i + 1] += jj_count_offd[i];
}
i = num_threads - 1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_HOST);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_HOST);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_HOST);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) { coarse_shift = coarse_counter[j - 1]; }
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (j < rest)
{
ns = j * size + j;
ne = (j + 1) * size + j + 1;
}
else
{
ns = j * size + rest;
ne = (j + 1) * size + rest;
}
for (i = ns; i < ne; i++)
{
fine_to_coarse[i] += coarse_shift;
}
}
/*index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;*/
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,i2,jj,jj1,ns,ne,size,rest,sum,diagonal,distribute,P_marker,P_marker_offd,jj_counter,jj_counter_offd,sgn,c_num,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd) HYPRE_SMP_SCHEDULE
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (jl < rest)
{
ns = jl * size + jl;
ne = (jl + 1) * size + jl + 1;
}
else
{
ns = jl * size + rest;
ne = (jl + 1) * size + rest;
}
jj_counter = 0;
if (jl > 0) { jj_counter = jj_count[jl - 1]; }
jj_counter_offd = 0;
if (jl > 0) { jj_counter_offd = jj_count_offd[jl - 1]; }
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
{
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
else
{
P_marker_offd = NULL;
}
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
jj_begin_row = jj_counter;
for (jj = S_diag_i[i]; jj < S_diag_i[i + 1]; jj++)
{
i1 = S_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = zero;
jj_counter++;
}
}
jj_end_row = jj_counter;
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
jj_begin_row_offd = jj_counter_offd;
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i + 1]; jj++)
{
i1 = S_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = zero;
jj_counter_offd++;
}
}
}
jj_end_row_offd = jj_counter_offd;
diagonal = A_diag_data[A_diag_i[i]];
/* Loop over ith row of A. First, the diagonal part of A */
for (jj = A_diag_i[i] + 1; jj < A_diag_i[i + 1]; jj++)
{
i1 = A_diag_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker[i1] >= jj_begin_row)
{
P_diag_data[P_marker[i1]] += A_diag_data[jj];
}
/*--------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and influences i,
* distribute a_{i,i1} to C-points that strongly influence i.
* Note: currently no distribution to the diagonal in this case.
*--------------------------------------------------------------*/
else
{
sum = zero;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*-----------------------------------------------------------*/
sgn = 1;
if (A_diag_data[A_diag_i[i1]] < 0) { sgn = -1; }
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1 + 1]; jj1++)
{
i2 = A_diag_j[jj1];
if (P_marker[i2] >= jj_begin_row &&
(sgn * A_diag_data[jj1]) < 0)
{
sum += A_diag_data[jj1];
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1 + 1]; jj1++)
{
i2 = A_offd_j[jj1];
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn * A_offd_data[jj1]) < 0)
{
sum += A_offd_data[jj1];
}
}
}
if (sum != 0)
{
distribute = A_diag_data[jj] / sum;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and do the distribution.
*-----------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1 + 1]; jj1++)
{
i2 = A_diag_j[jj1];
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_diag_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_diag_data[jj1];
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1 + 1]; jj1++)
{
i2 = A_offd_j[jj1];
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn * A_offd_data[jj1]) < 0)
{
P_offd_data[P_marker_offd[i2]]
+= distribute * A_offd_data[jj1];
}
}
}
}
else
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
{
diagonal += A_diag_data[jj];
}
}
}
}
/*----------------------------------------------------------------
* Still looping over ith row of A. Next, loop over the
* off-diagonal part of A
*---------------------------------------------------------------*/
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i + 1]; jj++)
{
i1 = A_offd_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker_offd[i1] >= jj_begin_row_offd)
{
P_offd_data[P_marker_offd[i1]] += A_offd_data[jj];
}
/*------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
*-----------------------------------------------------------*/
else
{
sum = zero;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*---------------------------------------------------------*/
/* find row number */
c_num = A_offd_j[jj];
sgn = 1;
if (A_ext_data[A_ext_i[c_num]] < 0) { sgn = -1; }
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num + 1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (i2 > -1)
{
/* in the diagonal block */
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2 - 1] >= jj_begin_row_offd
&& (sgn * A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
}
if (sum != 0)
{
distribute = A_offd_data[jj] / sum;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and do
* the distribution.
*--------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num + 1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (i2 > -1) /* in the diagonal block */
{
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_ext_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2 - 1] >= jj_begin_row_offd
&& (sgn * A_ext_data[jj1]) < 0)
P_offd_data[P_marker_offd[-i2 - 1]]
+= distribute * A_ext_data[jj1];
}
}
}
else
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
{
diagonal += A_offd_data[jj];
}
}
}
}
}
/*-----------------------------------------------------------------
* Set interpolation weight by dividing by the diagonal.
*-----------------------------------------------------------------*/
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] /= -diagonal;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] /= -diagonal;
}
}
P_offd_i[i + 1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, 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 */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, 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_diag_size = P_diag_i[n_fine];
P_offd_size = P_offd_i[n_fine];
}
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker[i] = 0;
}
num_cols_P_offd = 0;
for (i = 0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_cols_P_offd; i++)
{
while (P_marker[index] == 0) { index++; }
tmp_map_offd[i] = index++;
}
#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] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i = 0; i < n_fine; i++)
if (CF_marker[i] == -3) { CF_marker[i] = -1; }
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P, A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
if (num_procs > 1)
{
hypre_CSRMatrixDestroy(A_ext);
}
return hypre_error_flag;
}
/*---------------------------------------------------------------------------
* hypre_BoomerAMGBuildDirInterp
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildDirInterpHost( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
hypre_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 = hypre_CSRMatrixJ(S_offd);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int jj_counter, jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int jj_begin_row, jj_begin_row_offd;
HYPRE_Int jj_end_row, jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int *fine_to_coarse;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
HYPRE_Int num_cols_P_offd;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int i, i1;
HYPRE_Int j, jl, jj;
HYPRE_Int start;
HYPRE_Real diagonal;
HYPRE_Real sum_N_pos, sum_P_pos;
HYPRE_Real sum_N_neg, sum_P_neg;
HYPRE_Real alfa = 1.0;
HYPRE_Real beta = 1.0;
HYPRE_Real zero = 0.0;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int *int_buf_data;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
num_threads = hypre_NumThreads();
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs - 1)) { total_global_cpts = num_cpts_global[1]; }
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs - 1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
if (num_cols_A_offd) { CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST); }
if (num_functions > 1 && num_cols_A_offd)
{
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends), HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
int_buf_data[index++]
= dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) { fine_to_coarse[i] = -1; }
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (j < rest)
{
ns = j * size + j;
ne = (j + 1) * size + j + 1;
}
else
{
ns = j * size + rest;
ne = (j + 1) * size + rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is from the C-points that
* strongly influence i.
*--------------------------------------------------------------------*/
else
{
for (jj = S_diag_i[i]; jj < S_diag_i[i + 1]; jj++)
{
i1 = S_diag_j[jj];
if (CF_marker[i1] > 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i + 1]; jj++)
{
i1 = S_offd_j[jj];
if (CF_marker_offd[i1] > 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i = 0; i < num_threads - 1; i++)
{
coarse_counter[i + 1] += coarse_counter[i];
jj_count[i + 1] += jj_count[i];
jj_count_offd[i + 1] += jj_count_offd[i];
}
i = num_threads - 1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_DEVICE);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_DEVICE);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) { coarse_shift = coarse_counter[j - 1]; }
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (j < rest)
{
ns = j * size + j;
ne = (j + 1) * size + j + 1;
}
else
{
ns = j * size + rest;
ne = (j + 1) * size + rest;
}
for (i = ns; i < ne; i++)
{
fine_to_coarse[i] += coarse_shift;
}
}
/*index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;*/
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,jj,ns,ne,size,rest,diagonal,jj_counter,jj_counter_offd,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd,sum_P_pos,sum_P_neg,sum_N_pos,sum_N_neg,alfa,beta) HYPRE_SMP_SCHEDULE
#endif
for (jl = 0; jl < num_threads; jl++)
{
HYPRE_Int *P_marker, *P_marker_offd;
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (jl < rest)
{
ns = jl * size + jl;
ne = (jl + 1) * size + jl + 1;
}
else
{
ns = jl * size + rest;
ne = (jl + 1) * size + rest;
}
jj_counter = 0;
if (jl > 0) { jj_counter = jj_count[jl - 1]; }
jj_counter_offd = 0;
if (jl > 0) { jj_counter_offd = jj_count_offd[jl - 1]; }
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
{
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
else
{
P_marker_offd = NULL;
}
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
jj_begin_row = jj_counter;
for (jj = S_diag_i[i]; jj < S_diag_i[i + 1]; jj++)
{
i1 = S_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = zero;
jj_counter++;
}
}
jj_end_row = jj_counter;
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
jj_begin_row_offd = jj_counter_offd;
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i + 1]; jj++)
{
i1 = S_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = zero;
jj_counter_offd++;
}
}
}
jj_end_row_offd = jj_counter_offd;
diagonal = A_diag_data[A_diag_i[i]];
/* Loop over ith row of A. First, the diagonal part of A */
sum_N_pos = 0;
sum_N_neg = 0;
sum_P_pos = 0;
sum_P_neg = 0;
for (jj = A_diag_i[i] + 1; jj < A_diag_i[i + 1]; jj++)
{
i1 = A_diag_j[jj];
if (num_functions == 1 || dof_func[i1] == dof_func[i])
{
if (A_diag_data[jj] > 0)
{
sum_N_pos += A_diag_data[jj];
}
else
{
sum_N_neg += A_diag_data[jj];
}
}
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker[i1] >= jj_begin_row)
{
P_diag_data[P_marker[i1]] += A_diag_data[jj];
if (A_diag_data[jj] > 0)
{
sum_P_pos += A_diag_data[jj];
}
else
{
sum_P_neg += A_diag_data[jj];
}
}
}
/*----------------------------------------------------------------
* Still looping over ith row of A. Next, loop over the
* off-diagonal part of A
*---------------------------------------------------------------*/
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i + 1]; jj++)
{
i1 = A_offd_j[jj];
if (num_functions == 1 || dof_func_offd[i1] == dof_func[i])
{
if (A_offd_data[jj] > 0)
{
sum_N_pos += A_offd_data[jj];
}
else
{
sum_N_neg += A_offd_data[jj];
}
}
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker_offd[i1] >= jj_begin_row_offd)
{
P_offd_data[P_marker_offd[i1]] += A_offd_data[jj];
if (A_offd_data[jj] > 0)
{
sum_P_pos += A_offd_data[jj];
}
else
{
sum_P_neg += A_offd_data[jj];
}
}
}
}
if (sum_P_neg) { alfa = sum_N_neg / sum_P_neg / diagonal; }
if (sum_P_pos) { beta = sum_N_pos / sum_P_pos / diagonal; }
/*-----------------------------------------------------------------
* Set interpolation weight by dividing by the diagonal.
*-----------------------------------------------------------------*/
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
if (P_diag_data[jj] > 0)
{
P_diag_data[jj] *= -beta;
}
else
{
P_diag_data[jj] *= -alfa;
}
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
if (P_offd_data[jj] > 0)
{
P_offd_data[jj] *= -beta;
}
else
{
P_offd_data[jj] *= -alfa;
}
}
}
P_offd_i[i + 1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, 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 */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, 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_diag_size = P_diag_i[n_fine];
P_offd_size = P_offd_i[n_fine];
}
num_cols_P_offd = 0;
if (P_offd_size)
{
HYPRE_Int *P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker[i] = 0;
}
num_cols_P_offd = 0;
for (i = 0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_cols_P_offd; i++)
{
while (P_marker[index] == 0) { index++; }
tmp_map_offd[i] = index++;
}
#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] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i = 0; i < n_fine; i++)
if (CF_marker[i] == -3) { CF_marker[i] = -1; }
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P, A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
HYPRE_Int
hypre_BoomerAMGBuildDirInterp( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
HYPRE_Int interp_type,
hypre_ParCSRMatrix **P_ptr)
{
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPushRange("DirInterp");
#endif
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1( hypre_ParCSRMatrixMemoryLocation(A) );
if (exec == HYPRE_EXEC_DEVICE)
{
ierr = hypre_BoomerAMGBuildDirInterpDevice(A, CF_marker, S, num_cpts_global, num_functions,
dof_func,
debug_flag, trunc_factor, max_elmts,
interp_type, P_ptr);
}
else
#endif
{
ierr = hypre_BoomerAMGBuildDirInterpHost(A, CF_marker, S, num_cpts_global, num_functions, dof_func,
debug_flag, trunc_factor, max_elmts, P_ptr);
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPopRange();
#endif
return ierr;
}
/*------------------------------------------------
* Drop entries in interpolation matrix P
* max_elmts == 0 means no limit on rownnz
*------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGInterpTruncation( hypre_ParCSRMatrix *P,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts)
{
if (trunc_factor <= 0.0 && max_elmts == 0)
{
return 0;
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1( hypre_ParCSRMatrixMemoryLocation(P) );
if (exec == HYPRE_EXEC_DEVICE)
{
return hypre_BoomerAMGInterpTruncationDevice(P, trunc_factor, max_elmts);
}
else
#endif
{
HYPRE_Int rescale = 1; // rescale P
HYPRE_Int nrm_type = 0; // Use infty-norm of row to perform treshold dropping
return hypre_ParCSRMatrixTruncate(P, trunc_factor, max_elmts, rescale, nrm_type);
}
}
/*---------------------------------------------------------------------------
* hypre_BoomerAMGBuildInterpModUnk - this is a modified interpolation for the unknown approach.
* here we need to pass in a strength matrix built on the entire matrix.
*
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGBuildInterpModUnk( hypre_ParCSRMatrix *A,
HYPRE_Int *CF_marker,
hypre_ParCSRMatrix *S,
HYPRE_BigInt *num_cpts_global,
HYPRE_Int num_functions,
HYPRE_Int *dof_func,
HYPRE_Int debug_flag,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts,
hypre_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(A);
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 = hypre_CSRMatrixJ(S_offd);
hypre_ParCSRMatrix *P;
HYPRE_BigInt *col_map_offd_P;
HYPRE_Int *tmp_map_offd;
HYPRE_Int *CF_marker_offd = NULL;
HYPRE_Int *dof_func_offd = NULL;
hypre_CSRMatrix *A_ext;
HYPRE_Real *A_ext_data = NULL;
HYPRE_Int *A_ext_i = NULL;
HYPRE_BigInt *A_ext_j = NULL;
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int P_diag_size, P_offd_size;
HYPRE_Int *P_marker, *P_marker_offd;
HYPRE_Int jj_counter, jj_counter_offd;
HYPRE_Int *jj_count, *jj_count_offd;
HYPRE_Int jj_begin_row, jj_begin_row_offd;
HYPRE_Int jj_end_row, jj_end_row_offd;
HYPRE_Int start_indexing = 0; /* start indexing for P_data at 0 */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int strong_f_marker;
HYPRE_Int *fine_to_coarse;
//HYPRE_Int *fine_to_coarse_offd;
HYPRE_Int *coarse_counter;
HYPRE_Int coarse_shift;
HYPRE_BigInt total_global_cpts;
HYPRE_Int num_cols_P_offd;
//HYPRE_BigInt my_first_cpt;
HYPRE_Int i, i1, i2;
HYPRE_Int j, jl, jj, jj1;
HYPRE_Int kc;
HYPRE_BigInt big_k;
HYPRE_Int start;
HYPRE_Int sgn;
HYPRE_Int c_num;
HYPRE_Real diagonal;
HYPRE_Real sum;
HYPRE_Real distribute;
HYPRE_Real zero = 0.0;
HYPRE_Real one = 1.0;
HYPRE_Int my_id;
HYPRE_Int num_procs;
HYPRE_Int num_threads;
HYPRE_Int num_sends;
HYPRE_Int index;
HYPRE_Int ns, ne, size, rest;
HYPRE_Int print_level = 0;
HYPRE_Int *int_buf_data;
HYPRE_BigInt col_1 = hypre_ParCSRMatrixFirstRowIndex(A);
HYPRE_Int local_numrows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_BigInt col_n = col_1 + local_numrows;
HYPRE_Real wall_time; /* for debugging instrumentation */
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
num_threads = hypre_NumThreads();
//my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs - 1)) { total_global_cpts = num_cpts_global[1]; }
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs - 1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
if (debug_flag < 0)
{
debug_flag = -debug_flag;
print_level = 1;
}
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
if (num_cols_A_offd) { CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST); }
if (num_functions > 1 && num_cols_A_offd)
{
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg,
num_sends), HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
int_buf_data[index++]
= CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
CF_marker_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
int_buf_data[index++]
= dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 1 CF_marker = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*----------------------------------------------------------------------
* Get the ghost rows of A
*---------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
if (num_procs > 1)
{
A_ext = hypre_ParCSRMatrixExtractBExt(A, A, 1);
A_ext_i = hypre_CSRMatrixI(A_ext);
A_ext_j = hypre_CSRMatrixBigJ(A_ext);
A_ext_data = hypre_CSRMatrixData(A_ext);
}
index = 0;
for (i = 0; i < num_cols_A_offd; i++)
{
for (j = A_ext_i[i]; j < A_ext_i[i + 1]; j++)
{
big_k = A_ext_j[j];
if (big_k >= col_1 && big_k < col_n)
{
A_ext_j[index] = big_k - col_1;
A_ext_data[index++] = A_ext_data[j];
}
else
{
kc = hypre_BigBinarySearch(col_map_offd, big_k, num_cols_A_offd);
if (kc > -1)
{
A_ext_j[index] = (HYPRE_BigInt)(-kc - 1);
A_ext_data[index++] = A_ext_data[j];
}
}
}
A_ext_i[i] = index;
}
for (i = num_cols_A_offd; i > 0; i--)
{
A_ext_i[i] = A_ext_i[i - 1];
}
if (num_procs > 1) { A_ext_i[0] = 0; }
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 2 Get A_ext = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping.
*-----------------------------------------------------------------------*/
/*-----------------------------------------------------------------------
* Intialize counters and allocate mapping vector.
*-----------------------------------------------------------------------*/
coarse_counter = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
jj_count_offd = hypre_CTAlloc(HYPRE_Int, num_threads, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) { fine_to_coarse[i] = -1; }
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
/*-----------------------------------------------------------------------
* Loop over fine grid.
*-----------------------------------------------------------------------*/
/* RDF: this looks a little tricky, but doable */
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,i1,jj,ns,ne,size,rest) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (j < rest)
{
ns = j * size + j;
ne = (j + 1) * size + j + 1;
}
else
{
ns = j * size + rest;
ne = (j + 1) * size + rest;
}
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
jj_count[j]++;
fine_to_coarse[i] = coarse_counter[j];
coarse_counter[j]++;
}
/*--------------------------------------------------------------------
* If i is an F-point, interpolation is from the C-points that
* strongly influence i.
*--------------------------------------------------------------------*/
else
{
for (jj = S_diag_i[i]; jj < S_diag_i[i + 1]; jj++)
{
i1 = S_diag_j[jj];
if (CF_marker[i1] >= 0)
{
jj_count[j]++;
}
}
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i + 1]; jj++)
{
i1 = S_offd_j[jj];
if (CF_marker_offd[i1] >= 0)
{
jj_count_offd[j]++;
}
}
}
}
}
}
/*-----------------------------------------------------------------------
* Allocate arrays.
*-----------------------------------------------------------------------*/
for (i = 0; i < num_threads - 1; i++)
{
coarse_counter[i + 1] += coarse_counter[i];
jj_count[i + 1] += jj_count[i];
jj_count_offd[i + 1] += jj_count_offd[i];
}
i = num_threads - 1;
jj_counter = jj_count[i];
jj_counter_offd = jj_count_offd[i];
P_diag_size = jj_counter;
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_HOST);
P_diag_j = hypre_CTAlloc(HYPRE_Int, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_data = hypre_CTAlloc(HYPRE_Real, P_diag_size, HYPRE_MEMORY_HOST);
P_diag_i[n_fine] = jj_counter;
P_offd_size = jj_counter_offd;
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_HOST);
P_offd_j = hypre_CTAlloc(HYPRE_Int, P_offd_size, HYPRE_MEMORY_HOST);
P_offd_data = hypre_CTAlloc(HYPRE_Real, P_offd_size, HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------------
* Intialize some stuff.
*-----------------------------------------------------------------------*/
jj_counter = start_indexing;
jj_counter_offd = start_indexing;
if (debug_flag == 4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Internal work 1 = %f\n",
my_id, wall_time);
fflush(NULL);
}
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
//fine_to_coarse_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,ns,ne,size,rest,coarse_shift) HYPRE_SMP_SCHEDULE
#endif
for (j = 0; j < num_threads; j++)
{
coarse_shift = 0;
if (j > 0) { coarse_shift = coarse_counter[j - 1]; }
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (j < rest)
{
ns = j * size + j;
ne = (j + 1) * size + j + 1;
}
else
{
ns = j * size + rest;
ne = (j + 1) * size + rest;
}
for (i = ns; i < ne; i++)
{
fine_to_coarse[i] += coarse_shift;
}
}
/*index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i+1); j++)
int_buf_data[index++]
= fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg,j)];
}
comm_handle = hypre_ParCSRCommHandleCreate( 11, comm_pkg, int_buf_data,
fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
if (debug_flag==4)
{
wall_time = time_getWallclockSeconds() - wall_time;
hypre_printf("Proc = %d Interp: Comm 4 FineToCoarse = %f\n",
my_id, wall_time);
fflush(NULL);
}*/
if (debug_flag == 4) { wall_time = time_getWallclockSeconds(); }
/*#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < n_fine; i++) fine_to_coarse[i] -= my_first_cpt;*/
/*-----------------------------------------------------------------------
* Loop over fine grid points.
*-----------------------------------------------------------------------*/
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i,j,jl,i1,i2,jj,jj1,ns,ne,size,rest,sum,diagonal,distribute,P_marker,P_marker_offd,strong_f_marker,jj_counter,jj_counter_offd,sgn,c_num,jj_begin_row,jj_end_row,jj_begin_row_offd,jj_end_row_offd) HYPRE_SMP_SCHEDULE
#endif
for (jl = 0; jl < num_threads; jl++)
{
size = n_fine / num_threads;
rest = n_fine - size * num_threads;
if (jl < rest)
{
ns = jl * size + jl;
ne = (jl + 1) * size + jl + 1;
}
else
{
ns = jl * size + rest;
ne = (jl + 1) * size + rest;
}
jj_counter = 0;
if (jl > 0) { jj_counter = jj_count[jl - 1]; }
jj_counter_offd = 0;
if (jl > 0) { jj_counter_offd = jj_count_offd[jl - 1]; }
P_marker = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
if (num_cols_A_offd)
{
P_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
else
{
P_marker_offd = NULL;
}
for (i = 0; i < n_fine; i++)
{
P_marker[i] = -1;
}
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker_offd[i] = -1;
}
strong_f_marker = -2;
for (i = ns; i < ne; i++)
{
/*--------------------------------------------------------------------
* If i is a c-point, interpolation is the identity.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
P_diag_i[i] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i];
P_diag_data[jj_counter] = one;
jj_counter++;
}
/*--------------------------------------------------------------------
* If i is an F-point, build interpolation.
*--------------------------------------------------------------------*/
else
{
/* Diagonal part of P */
P_diag_i[i] = jj_counter;
jj_begin_row = jj_counter;
for (jj = S_diag_i[i]; jj < S_diag_i[i + 1]; jj++)
{
i1 = S_diag_j[jj];
/*--------------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_diag_j
* and initialize interpolation weight to zero.
*--------------------------------------------------------------*/
if (CF_marker[i1] >= 0)
{
P_marker[i1] = jj_counter;
P_diag_j[jj_counter] = fine_to_coarse[i1];
P_diag_data[jj_counter] = zero;
jj_counter++;
}
/*--------------------------------------------------------------
* If neighbor i1 is an F-point, mark it as a strong F-point
* whose connection needs to be distributed.
*--------------------------------------------------------------*/
else if (CF_marker[i1] != -3)
{
P_marker[i1] = strong_f_marker;
}
}
jj_end_row = jj_counter;
/* Off-Diagonal part of P */
P_offd_i[i] = jj_counter_offd;
jj_begin_row_offd = jj_counter_offd;
if (num_procs > 1)
{
for (jj = S_offd_i[i]; jj < S_offd_i[i + 1]; jj++)
{
i1 = S_offd_j[jj];
/*-----------------------------------------------------------
* If neighbor i1 is a C-point, set column number in P_offd_j
* and initialize interpolation weight to zero.
*-----------------------------------------------------------*/
if (CF_marker_offd[i1] >= 0)
{
P_marker_offd[i1] = jj_counter_offd;
/*P_offd_j[jj_counter_offd] = fine_to_coarse_offd[i1];*/
P_offd_j[jj_counter_offd] = i1;
P_offd_data[jj_counter_offd] = zero;
jj_counter_offd++;
}
/*-----------------------------------------------------------
* If neighbor i1 is an F-point, mark it as a strong F-point
* whose connection needs to be distributed.
*-----------------------------------------------------------*/
else if (CF_marker_offd[i1] != -3)
{
P_marker_offd[i1] = strong_f_marker;
}
}
}
jj_end_row_offd = jj_counter_offd;
diagonal = A_diag_data[A_diag_i[i]];
/* Loop over ith row of A. First, the diagonal part of A */
for (jj = A_diag_i[i] + 1; jj < A_diag_i[i + 1]; jj++)
{
i1 = A_diag_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker[i1] >= jj_begin_row)
{
P_diag_data[P_marker[i1]] += A_diag_data[jj];
}
/*--------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and strongly influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
HERE, we only want to distribut to points of the SAME function type
*--------------------------------------------------------------*/
else if (P_marker[i1] == strong_f_marker)
{
sum = zero;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*-----------------------------------------------------------*/
sgn = 1;
if (A_diag_data[A_diag_i[i1]] < 0) { sgn = -1; }
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1 + 1]; jj1++)
{
i2 = A_diag_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (P_marker[i2] >= jj_begin_row &&
(sgn * A_diag_data[jj1]) < 0 )
{
sum += A_diag_data[jj1];
}
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1 + 1]; jj1++)
{
i2 = A_offd_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn * A_offd_data[jj1]) < 0)
{
sum += A_offd_data[jj1];
}
}
}
}
if (sum != 0)
{
distribute = A_diag_data[jj] / sum;
/*-----------------------------------------------------------
* Loop over row of A for point i1 and do the distribution.
*-----------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_diag_i[i1]; jj1 < A_diag_i[i1 + 1]; jj1++)
{
i2 = A_diag_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_diag_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_diag_data[jj1];
}
}
}
/* Off-Diagonal block part of row i1 */
if (num_procs > 1)
{
for (jj1 = A_offd_i[i1]; jj1 < A_offd_i[i1 + 1]; jj1++)
{
i2 = A_offd_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (P_marker_offd[i2] >= jj_begin_row_offd
&& (sgn * A_offd_data[jj1]) < 0)
{
P_offd_data[P_marker_offd[i2]]
+= distribute * A_offd_data[jj1];
}
}
}
}
}
else /* sum = 0 - only add to diag if the same function type */
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
{
diagonal += A_diag_data[jj];
}
}
}
/*--------------------------------------------------------------
* Case 3: neighbor i1 weakly influences i, accumulate a_{i,i1}
* into the diagonal. (only if the same function type)
*--------------------------------------------------------------*/
else if (CF_marker[i1] != -3)
{
if (num_functions == 1 || dof_func[i] == dof_func[i1])
{
diagonal += A_diag_data[jj];
}
}
}
/*----------------------------------------------------------------
* Still looping over ith row of A. Next, loop over the
* off-diagonal part of A
*---------------------------------------------------------------*/
if (num_procs > 1)
{
for (jj = A_offd_i[i]; jj < A_offd_i[i + 1]; jj++)
{
i1 = A_offd_j[jj];
/*--------------------------------------------------------------
* Case 1: neighbor i1 is a C-point and strongly influences i,
* accumulate a_{i,i1} into the interpolation weight.
*--------------------------------------------------------------*/
if (P_marker_offd[i1] >= jj_begin_row_offd)
{
P_offd_data[P_marker_offd[i1]] += A_offd_data[jj];
}
/*------------------------------------------------------------
* Case 2: neighbor i1 is an F-point and strongly influences i,
* distribute a_{i,i1} to C-points that strongly infuence i.
* Note: currently no distribution to the diagonal in this case.
AGAIN, we only want to distribut to points of the SAME function type
*-----------------------------------------------------------*/
else if (P_marker_offd[i1] == strong_f_marker)
{
sum = zero;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and calculate the sum
* of the connections to c-points that strongly influence i.
*---------------------------------------------------------*/
/* find row number */
c_num = A_offd_j[jj];
sgn = 1;
if (A_ext_data[A_ext_i[c_num]] < 0) { sgn = -1; }
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num + 1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (i2 > -1)
{
/* in the diagonal block */
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2 - 1] >= jj_begin_row_offd
&& (sgn * A_ext_data[jj1]) < 0)
{
sum += A_ext_data[jj1];
}
}
}
}
if (sum != 0)
{
distribute = A_offd_data[jj] / sum;
/*---------------------------------------------------------
* Loop over row of A_ext for point i1 and do
* the distribution.
*--------------------------------------------------------*/
/* Diagonal block part of row i1 */
for (jj1 = A_ext_i[c_num]; jj1 < A_ext_i[c_num + 1]; jj1++)
{
i2 = (HYPRE_Int)A_ext_j[jj1];
if (num_functions == 1 || dof_func[i1] == dof_func[i2])
{
if (i2 > -1) /* in the diagonal block */
{
if (P_marker[i2] >= jj_begin_row
&& (sgn * A_ext_data[jj1]) < 0)
{
P_diag_data[P_marker[i2]]
+= distribute * A_ext_data[jj1];
}
}
else
{
/* in the off_diagonal block */
if (P_marker_offd[-i2 - 1] >= jj_begin_row_offd
&& (sgn * A_ext_data[jj1]) < 0)
P_offd_data[P_marker_offd[-i2 - 1]]
+= distribute * A_ext_data[jj1];
}
}
}
}
else /* sum = 0 */
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
{
diagonal += A_offd_data[jj];
}
}
}
/*-----------------------------------------------------------
* Case 3: neighbor i1 weakly influences i, accumulate a_{i,i1}
* into the diagonal.
*-----------------------------------------------------------*/
else if (CF_marker_offd[i1] != -3)
{
if (num_functions == 1 || dof_func[i] == dof_func_offd[i1])
{
diagonal += A_offd_data[jj];
}
}
}
}
/*-----------------------------------------------------------------
* Set interpolation weight by dividing by the diagonal.
*-----------------------------------------------------------------*/
if (diagonal == 0.0)
{
if (print_level)
{
hypre_printf(" Warning! zero diagonal! Proc id %d row %d\n", my_id, i);
}
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] = 0.0;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] = 0.0;
}
}
else
{
for (jj = jj_begin_row; jj < jj_end_row; jj++)
{
P_diag_data[jj] /= -diagonal;
}
for (jj = jj_begin_row_offd; jj < jj_end_row_offd; jj++)
{
P_offd_data[jj] /= -diagonal;
}
}
}
strong_f_marker--;
P_offd_i[i + 1] = jj_counter_offd;
}
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
hypre_TFree(P_marker_offd, 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 */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, 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_diag_size = P_diag_i[n_fine];
P_offd_size = P_offd_i[n_fine];
}
num_cols_P_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(i) HYPRE_SMP_SCHEDULE
#endif
for (i = 0; i < num_cols_A_offd; i++)
{
P_marker[i] = 0;
}
num_cols_P_offd = 0;
for (i = 0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
num_cols_P_offd++;
P_marker[index] = 1;
}
}
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_P_offd, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_P_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_cols_P_offd; i++)
{
while (P_marker[index] == 0) { index++; }
tmp_map_offd[i] = index++;
}
#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] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
num_cols_P_offd);
hypre_TFree(P_marker, HYPRE_MEMORY_HOST);
}
for (i = 0; i < n_fine; i++)
if (CF_marker[i] == -3) { CF_marker[i] = -1; }
if (num_cols_P_offd)
{
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
hypre_CSRMatrixNumCols(P_offd) = num_cols_P_offd;
}
hypre_GetCommPkgRTFromCommPkgA(P, A, fine_to_coarse, tmp_map_offd);
*P_ptr = P;
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(coarse_counter, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count, HYPRE_MEMORY_HOST);
hypre_TFree(jj_count_offd, HYPRE_MEMORY_HOST);
if (num_procs > 1) { hypre_CSRMatrixDestroy(A_ext); }
return hypre_error_flag;
}
/*---------------------------------------------------------------------------
* hypre_BoomerAMGTruncandBuild
*--------------------------------------------------------------------------*/
HYPRE_Int
hypre_BoomerAMGTruncandBuild( hypre_ParCSRMatrix *P,
HYPRE_Real trunc_factor,
HYPRE_Int max_elmts)
{
hypre_CSRMatrix *P_offd = hypre_ParCSRMatrixOffd(P);
hypre_ParCSRCommPkg *commpkg_P = hypre_ParCSRMatrixCommPkg(P);
HYPRE_BigInt *col_map_offd = hypre_ParCSRMatrixColMapOffd(P);
HYPRE_Int *P_offd_i = hypre_CSRMatrixI(P_offd);
HYPRE_Int *P_offd_j = hypre_CSRMatrixJ(P_offd);
HYPRE_Int num_cols_offd = hypre_CSRMatrixNumCols(P_offd);
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(P_offd);
HYPRE_BigInt *new_col_map_offd;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_Int P_offd_size = 0, new_num_cols_offd;
HYPRE_Int *P_marker;
HYPRE_Int i;
HYPRE_Int index;
/* Compress P, removing coefficients smaller than trunc_factor * Max */
if (trunc_factor != 0.0 || max_elmts > 0)
{
hypre_BoomerAMGInterpTruncation(P, trunc_factor, max_elmts);
P_offd_j = hypre_CSRMatrixJ(P_offd);
P_offd_i = hypre_CSRMatrixI(P_offd);
P_offd_size = P_offd_i[n_fine];
}
new_num_cols_offd = 0;
if (P_offd_size)
{
P_marker = hypre_CTAlloc(HYPRE_Int, num_cols_offd, HYPRE_MEMORY_HOST);
/*#define HYPRE_SMP_PRIVATE i
#include "../utilities/hypre_smp_forloop.h"*/
for (i = 0; i < num_cols_offd; i++)
{
P_marker[i] = 0;
}
for (i = 0; i < P_offd_size; i++)
{
index = P_offd_j[i];
if (!P_marker[index])
{
new_num_cols_offd++;
P_marker[index] = 1;
}
}
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, new_num_cols_offd, HYPRE_MEMORY_HOST);
new_col_map_offd = hypre_CTAlloc(HYPRE_BigInt, new_num_cols_offd, HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < new_num_cols_offd; i++)
{
while (P_marker[index] == 0) { index++; }
tmp_map_offd[i] = index++;
}
/*#define HYPRE_SMP_PRIVATE i
#include "../utilities/hypre_smp_forloop.h"*/
for (i = 0; i < P_offd_size; i++)
P_offd_j[i] = hypre_BinarySearch(tmp_map_offd,
P_offd_j[i],
new_num_cols_offd);
}
index = 0;
for (i = 0; i < new_num_cols_offd; i++)
{
while (P_marker[index] == 0) { index++; }
new_col_map_offd[i] = col_map_offd[index];
index++;
}
if (P_offd_size) { hypre_TFree(P_marker, HYPRE_MEMORY_HOST); }
if (new_num_cols_offd)
{
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(col_map_offd, HYPRE_MEMORY_HOST);
hypre_ParCSRMatrixColMapOffd(P) = new_col_map_offd;
hypre_CSRMatrixNumCols(P_offd) = new_num_cols_offd;
}
if (commpkg_P != NULL) { hypre_MatvecCommPkgDestroy(commpkg_P); }
hypre_MatvecCommPkgCreate(P);
return hypre_error_flag;
}
hypre_ParCSRMatrix *hypre_CreateC( hypre_ParCSRMatrix *A,
HYPRE_Real w)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_BigInt *row_starts = hypre_ParCSRMatrixRowStarts(A);
HYPRE_BigInt *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
HYPRE_Int num_rows = hypre_CSRMatrixNumRows(A_diag);
HYPRE_Int num_cols_offd = hypre_CSRMatrixNumCols(A_offd);
HYPRE_BigInt global_num_rows = hypre_ParCSRMatrixGlobalNumRows(A);
hypre_ParCSRMatrix *C;
hypre_CSRMatrix *C_diag;
hypre_CSRMatrix *C_offd;
HYPRE_Real *C_diag_data;
HYPRE_Int *C_diag_i;
HYPRE_Int *C_diag_j;
HYPRE_Real *C_offd_data;
HYPRE_Int *C_offd_i;
HYPRE_Int *C_offd_j;
HYPRE_BigInt *col_map_offd_C;
HYPRE_Int i, j, index;
HYPRE_Real invdiag;
HYPRE_Real w_local = w;
C = hypre_ParCSRMatrixCreate(comm, global_num_rows, global_num_rows, row_starts,
row_starts, num_cols_offd, A_diag_i[num_rows], A_offd_i[num_rows]);
hypre_ParCSRMatrixInitialize(C);
C_diag = hypre_ParCSRMatrixDiag(C);
C_offd = hypre_ParCSRMatrixOffd(C);
C_diag_i = hypre_CSRMatrixI(C_diag);
C_diag_j = hypre_CSRMatrixJ(C_diag);
C_diag_data = hypre_CSRMatrixData(C_diag);
C_offd_i = hypre_CSRMatrixI(C_offd);
C_offd_j = hypre_CSRMatrixJ(C_offd);
C_offd_data = hypre_CSRMatrixData(C_offd);
col_map_offd_C = hypre_ParCSRMatrixColMapOffd(C);
for (i = 0; i < num_cols_offd; i++)
{
col_map_offd_C[i] = col_map_offd_A[i];
}
for (i = 0; i < num_rows; i++)
{
index = A_diag_i[i];
invdiag = -w / A_diag_data[index];
C_diag_data[index] = 1.0 - w;
C_diag_j[index] = A_diag_j[index];
if (w == 0)
{
w_local = fabs(A_diag_data[index]);
for (j = index + 1; j < A_diag_i[i + 1]; j++)
{
w_local += fabs(A_diag_data[j]);
}
for (j = A_offd_i[i]; j < A_offd_i[i + 1]; j++)
{
w_local += fabs(A_offd_data[j]);
}
invdiag = -1 / w_local;
C_diag_data[index] = 1.0 - A_diag_data[index] / w_local;
}
C_diag_i[i] = index;
C_offd_i[i] = A_offd_i[i];
for (j = index + 1; j < A_diag_i[i + 1]; j++)
{
C_diag_data[j] = A_diag_data[j] * invdiag;
C_diag_j[j] = A_diag_j[j];
}
for (j = A_offd_i[i]; j < A_offd_i[i + 1]; j++)
{
C_offd_data[j] = A_offd_data[j] * invdiag;
C_offd_j[j] = A_offd_j[j];
}
}
C_diag_i[num_rows] = A_diag_i[num_rows];
C_offd_i[num_rows] = A_offd_i[num_rows];
return C;
}
/* RL */
HYPRE_Int
hypre_BoomerAMGBuildInterpOnePntHost( 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_ParCSRMatrix **P_ptr)
{
MPI_Comm comm = hypre_ParCSRMatrixComm(A);
hypre_ParCSRCommPkg *comm_pkg = hypre_ParCSRMatrixCommPkg(A);
hypre_ParCSRCommHandle *comm_handle;
hypre_CSRMatrix *A_diag = hypre_ParCSRMatrixDiag(A);
HYPRE_Real *A_diag_data = hypre_CSRMatrixData(A_diag);
HYPRE_Int *A_diag_i = hypre_CSRMatrixI(A_diag);
HYPRE_Int *A_diag_j = hypre_CSRMatrixJ(A_diag);
hypre_CSRMatrix *A_offd = hypre_ParCSRMatrixOffd(A);
HYPRE_Real *A_offd_data = hypre_CSRMatrixData(A_offd);
HYPRE_Int *A_offd_i = hypre_CSRMatrixI(A_offd);
HYPRE_Int *A_offd_j = hypre_CSRMatrixJ(A_offd);
HYPRE_Int num_cols_A_offd = hypre_CSRMatrixNumCols(A_offd);
//HYPRE_Int *col_map_offd_A = hypre_ParCSRMatrixColMapOffd(A);
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 = hypre_CSRMatrixJ(S_offd);
/* Interpolation matrix P */
hypre_ParCSRMatrix *P;
/* csr's */
hypre_CSRMatrix *P_diag;
hypre_CSRMatrix *P_offd;
/* arrays */
HYPRE_Real *P_diag_data;
HYPRE_Int *P_diag_i;
HYPRE_Int *P_diag_j;
HYPRE_Real *P_offd_data;
HYPRE_Int *P_offd_i;
HYPRE_Int *P_offd_j;
HYPRE_Int num_cols_offd_P;
HYPRE_Int *tmp_map_offd = NULL;
HYPRE_BigInt *col_map_offd_P = NULL;
/* CF marker off-diag part */
HYPRE_Int *CF_marker_offd = NULL;
/* func type off-diag part */
HYPRE_Int *dof_func_offd = NULL;
/* nnz */
HYPRE_Int nnz_diag, nnz_offd, cnt_diag, cnt_offd;
HYPRE_Int *marker_diag, *marker_offd = NULL;
/* local size */
HYPRE_Int n_fine = hypre_CSRMatrixNumRows(A_diag);
/* number of C-pts */
HYPRE_Int n_cpts = 0;
/* fine to coarse mapping: diag part and offd part */
HYPRE_Int *fine_to_coarse;
HYPRE_BigInt *fine_to_coarse_offd = NULL;
HYPRE_BigInt total_global_cpts, my_first_cpt;
HYPRE_Int my_id, num_procs;
HYPRE_Int num_sends;
HYPRE_Int *int_buf_data = NULL;
HYPRE_BigInt *big_int_buf_data = NULL;
//HYPRE_Int col_start = hypre_ParCSRMatrixFirstRowIndex(A);
//HYPRE_Int col_end = col_start + n_fine;
HYPRE_Int i, j, i1, j1, k1, index, start;
HYPRE_Int *max_abs_cij;
char *max_abs_diag_offd;
HYPRE_Real max_abs_aij, vv;
hypre_MPI_Comm_size(comm, &num_procs);
hypre_MPI_Comm_rank(comm, &my_id);
my_first_cpt = num_cpts_global[0];
if (my_id == (num_procs - 1)) { total_global_cpts = num_cpts_global[1]; }
hypre_MPI_Bcast(&total_global_cpts, 1, HYPRE_MPI_BIG_INT, num_procs - 1, comm);
/*-------------------------------------------------------------------
* Get the CF_marker data for the off-processor columns
*-------------------------------------------------------------------*/
/* CF marker for the off-diag columns */
if (num_cols_A_offd)
{
CF_marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
/* function type indicator for the off-diag columns */
if (num_functions > 1 && num_cols_A_offd)
{
dof_func_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
}
/* if CommPkg of A is not present, create it */
if (!comm_pkg)
{
hypre_MatvecCommPkgCreate(A);
comm_pkg = hypre_ParCSRMatrixCommPkg(A);
}
/* number of sends to do (number of procs) */
num_sends = hypre_ParCSRCommPkgNumSends(comm_pkg);
/* send buffer, of size send_map_starts[num_sends]),
* i.e., number of entries to send */
int_buf_data = hypre_CTAlloc(HYPRE_Int, hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends),
HYPRE_MEMORY_HOST);
/* copy CF markers of elements to send to buffer
* RL: why copy them with two for loops? Why not just loop through all in one */
index = 0;
for (i = 0; i < num_sends; i++)
{
/* start pos of elements sent to send_proc[i] */
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
/* loop through all elems to send_proc[i] */
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
{
/* CF marker of send_map_elemts[j] */
int_buf_data[index++] = CF_marker[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
}
/* create a handle to start communication. 11: for integer */
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data, CF_marker_offd);
/* destroy the handle to finish communication */
hypre_ParCSRCommHandleDestroy(comm_handle);
/* do a similar communication for dof_func */
if (num_functions > 1)
{
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
{
int_buf_data[index++] = dof_func[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
}
comm_handle = hypre_ParCSRCommHandleCreate(11, comm_pkg, int_buf_data, dof_func_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
}
hypre_TFree(int_buf_data, HYPRE_MEMORY_HOST);
/*-----------------------------------------------------------------------
* First Pass: Determine size of P and fill in fine_to_coarse mapping,
* and find the most strongly influencing C-pt for each F-pt
*-----------------------------------------------------------------------*/
/* nnz in diag and offd parts */
cnt_diag = 0;
cnt_offd = 0;
max_abs_cij = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
max_abs_diag_offd = hypre_CTAlloc(char, n_fine, HYPRE_MEMORY_HOST);
fine_to_coarse = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
/* markers initialized as zeros */
marker_diag = hypre_CTAlloc(HYPRE_Int, n_fine, HYPRE_MEMORY_HOST);
marker_offd = hypre_CTAlloc(HYPRE_Int, num_cols_A_offd, HYPRE_MEMORY_HOST);
for (i = 0; i < n_fine; i++)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity. Also set up
* mapping vector.
*--------------------------------------------------------------------*/
if (CF_marker[i] >= 0)
{
//fine_to_coarse[i] = my_first_cpt + n_cpts;
fine_to_coarse[i] = n_cpts;
n_cpts++;
continue;
}
/* mark all the strong connections: in S */
HYPRE_Int MARK = i + 1;
/* loop through row i of S, diag part */
for (j = S_diag_i[i]; j < S_diag_i[i + 1]; j++)
{
marker_diag[S_diag_j[j]] = MARK;
}
/* loop through row i of S, offd part */
if (num_procs > 1)
{
for (j = S_offd_i[i]; j < S_offd_i[i + 1]; j++)
{
j1 = S_offd_j[j];
marker_offd[j1] = MARK;
}
}
fine_to_coarse[i] = -1;
/*---------------------------------------------------------------------------
* If i is an F-pt, interpolation is from the most strongly influencing C-pt
* Find this C-pt and save it
*--------------------------------------------------------------------------*/
/* if we failed to find any strong C-pt, mark this point as an 'n' */
char marker = 'n';
/* max abs val */
max_abs_aij = -1.0;
/* loop through row i of A, diag part */
for (j = A_diag_i[i]; j < A_diag_i[i + 1]; j++)
{
i1 = A_diag_j[j];
vv = fabs(A_diag_data[j]);
#if 0
/* !!! this is a hack just for code verification purpose !!!
it basically says:
1. if we see |a_ij| < 1e-14, force it to be 1e-14
2. if we see |a_ij| == the max(|a_ij|) so far exactly,
replace it if the j idx is smaller
Reasons:
1. numerical round-off for eps-level values
2. entries in CSR rows may be listed in different orders
*/
vv = vv < 1e-14 ? 1e-14 : vv;
if (CF_marker[i1] >= 0 && marker_diag[i1] == MARK &&
vv == max_abs_aij && i1 < max_abs_cij[i])
{
/* mark it as a 'd' */
marker = 'd';
max_abs_cij[i] = i1;
max_abs_aij = vv;
continue;
}
#endif
/* it is a strong C-pt and has abs val larger than what have seen */
if (CF_marker[i1] >= 0 && marker_diag[i1] == MARK && vv > max_abs_aij)
{
/* mark it as a 'd' */
marker = 'd';
max_abs_cij[i] = i1;
max_abs_aij = vv;
}
}
/* offd part */
if (num_procs > 1)
{
for (j = A_offd_i[i]; j < A_offd_i[i + 1]; j++)
{
i1 = A_offd_j[j];
vv = fabs(A_offd_data[j]);
if (CF_marker_offd[i1] >= 0 && marker_offd[i1] == MARK && vv > max_abs_aij)
{
/* mark it as an 'o' */
marker = 'o';
max_abs_cij[i] = i1;
max_abs_aij = vv;
}
}
}
max_abs_diag_offd[i] = marker;
if (marker == 'd')
{
cnt_diag ++;
}
else if (marker == 'o')
{
cnt_offd ++;
}
}
nnz_diag = cnt_diag + n_cpts;
nnz_offd = cnt_offd;
/*------------- allocate arrays */
P_diag_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_DEVICE);
P_diag_j = hypre_CTAlloc(HYPRE_Int, nnz_diag, HYPRE_MEMORY_DEVICE);
P_diag_data = hypre_CTAlloc(HYPRE_Real, nnz_diag, HYPRE_MEMORY_DEVICE);
/* not in ``if num_procs > 1'',
* allocation needed even for empty CSR */
P_offd_i = hypre_CTAlloc(HYPRE_Int, n_fine + 1, HYPRE_MEMORY_DEVICE);
P_offd_j = hypre_CTAlloc(HYPRE_Int, nnz_offd, HYPRE_MEMORY_DEVICE);
P_offd_data = hypre_CTAlloc(HYPRE_Real, nnz_offd, HYPRE_MEMORY_DEVICE);
/* redundant */
P_diag_i[0] = 0;
P_offd_i[0] = 0;
/* reset counters */
cnt_diag = 0;
cnt_offd = 0;
/*-----------------------------------------------------------------------
* Send and receive fine_to_coarse info.
*-----------------------------------------------------------------------*/
fine_to_coarse_offd = hypre_CTAlloc(HYPRE_BigInt, num_cols_A_offd, HYPRE_MEMORY_HOST);
big_int_buf_data = hypre_CTAlloc(HYPRE_BigInt, hypre_ParCSRCommPkgSendMapStart(comm_pkg, num_sends),
HYPRE_MEMORY_HOST);
index = 0;
for (i = 0; i < num_sends; i++)
{
start = hypre_ParCSRCommPkgSendMapStart(comm_pkg, i);
for (j = start; j < hypre_ParCSRCommPkgSendMapStart(comm_pkg, i + 1); j++)
{
big_int_buf_data[index++] = my_first_cpt
+ (HYPRE_BigInt)fine_to_coarse[hypre_ParCSRCommPkgSendMapElmt(comm_pkg, j)];
}
}
comm_handle = hypre_ParCSRCommHandleCreate(21, comm_pkg, big_int_buf_data, fine_to_coarse_offd);
hypre_ParCSRCommHandleDestroy(comm_handle);
/*-----------------------------------------------------------------------
* Second Pass: Populate P
*-----------------------------------------------------------------------*/
for (i = 0; i < n_fine; i++)
{
if (CF_marker[i] >= 0)
{
/*--------------------------------------------------------------------
* If i is a C-point, interpolation is the identity.
*--------------------------------------------------------------------*/
//P_diag_j[cnt_diag] = fine_to_coarse[i] - my_first_cpt;
P_diag_j[cnt_diag] = fine_to_coarse[i];
P_diag_data[cnt_diag++] = 1.0;
}
else
{
/*---------------------------------------------------------------------------
* If i is an F-pt, interpolation is from the most strongly influencing C-pt
*--------------------------------------------------------------------------*/
if (max_abs_diag_offd[i] == 'd')
{
/* on diag part of P */
j = max_abs_cij[i];
//P_diag_j[cnt_diag] = fine_to_coarse[j] - my_first_cpt;
P_diag_j[cnt_diag] = fine_to_coarse[j];
P_diag_data[cnt_diag++] = 1.0;
}
else if (max_abs_diag_offd[i] == 'o')
{
/* on offd part of P */
j = max_abs_cij[i];
P_offd_j[cnt_offd] = j;
P_offd_data[cnt_offd++] = 1.0;
}
}
P_diag_i[i + 1] = cnt_diag;
P_offd_i[i + 1] = cnt_offd;
}
hypre_assert(cnt_diag == nnz_diag);
hypre_assert(cnt_offd == nnz_offd);
/* num of cols in the offd part of P */
num_cols_offd_P = 0;
/* marker_offd: all -1 */
for (i = 0; i < num_cols_A_offd; i++)
{
marker_offd[i] = -1;
}
for (i = 0; i < nnz_offd; i++)
{
i1 = P_offd_j[i];
if (marker_offd[i1] == -1)
{
num_cols_offd_P++;
marker_offd[i1] = 1;
}
}
/* col_map_offd_P: the col indices of the offd of P
* we first keep them be the offd-idx of A */
col_map_offd_P = hypre_CTAlloc(HYPRE_BigInt, num_cols_offd_P, HYPRE_MEMORY_HOST);
tmp_map_offd = hypre_CTAlloc(HYPRE_Int, num_cols_offd_P, HYPRE_MEMORY_HOST);
for (i = 0, i1 = 0; i < num_cols_A_offd; i++)
{
if (marker_offd[i] == 1)
{
tmp_map_offd[i1++] = i;
}
}
hypre_assert(i1 == num_cols_offd_P);
/* now, adjust P_offd_j to local idx w.r.t col_map_offd_R
* by searching */
for (i = 0; i < nnz_offd; i++)
{
i1 = P_offd_j[i];
k1 = hypre_BinarySearch(tmp_map_offd, i1, num_cols_offd_P);
/* search must succeed */
hypre_assert(k1 >= 0 && k1 < num_cols_offd_P);
P_offd_j[i] = k1;
}
/* change col_map_offd_P to global coarse ids */
for (i = 0; i < num_cols_offd_P; i++)
{
col_map_offd_P[i] = fine_to_coarse_offd[tmp_map_offd[i]];
}
/* Now, we should have everything of Parcsr matrix P */
P = hypre_ParCSRMatrixCreate(comm,
hypre_ParCSRMatrixGlobalNumCols(A), /* global num of rows */
total_global_cpts, /* global num of cols */
hypre_ParCSRMatrixColStarts(A), /* row_starts */
num_cpts_global, /* col_starts */
num_cols_offd_P, /* num cols offd */
nnz_diag,
nnz_offd);
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;
hypre_ParCSRMatrixColMapOffd(P) = col_map_offd_P;
/* create CommPkg of P */
hypre_MatvecCommPkgCreate(P);
*P_ptr = P;
/* free workspace */
hypre_TFree(CF_marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(dof_func_offd, HYPRE_MEMORY_HOST);
hypre_TFree(tmp_map_offd, HYPRE_MEMORY_HOST);
hypre_TFree(big_int_buf_data, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse, HYPRE_MEMORY_HOST);
hypre_TFree(fine_to_coarse_offd, HYPRE_MEMORY_HOST);
hypre_TFree(marker_diag, HYPRE_MEMORY_HOST);
hypre_TFree(marker_offd, HYPRE_MEMORY_HOST);
hypre_TFree(max_abs_cij, HYPRE_MEMORY_HOST);
hypre_TFree(max_abs_diag_offd, HYPRE_MEMORY_HOST);
return hypre_error_flag;
}
HYPRE_Int
hypre_BoomerAMGBuildInterpOnePnt( 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_ParCSRMatrix **P_ptr)
{
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPushRange("OnePntInterp");
#endif
HYPRE_Int ierr = 0;
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
HYPRE_ExecutionPolicy exec = hypre_GetExecPolicy1( hypre_ParCSRMatrixMemoryLocation(A) );
if (exec == HYPRE_EXEC_DEVICE)
{
ierr = hypre_BoomerAMGBuildInterpOnePntDevice(A, CF_marker, S, num_cpts_global, num_functions,
dof_func, debug_flag, P_ptr);
}
else
#endif
{
ierr = hypre_BoomerAMGBuildInterpOnePntHost(A, CF_marker, S, num_cpts_global, num_functions,
dof_func, debug_flag, P_ptr);
}
#if defined(HYPRE_USING_CUDA) || defined(HYPRE_USING_HIP)
hypre_GpuProfilingPopRange();
#endif
return ierr;
}
|
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 1999-2014 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% http://www.imagemagick.org/script/license.php %
% %
% Unless required by applicable law or agreed to in writing, software %
% distributed under the License is distributed on an "AS IS" BASIS, %
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. %
% See the License for the specific language governing permissions and %
% limitations under the License. %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
%
*/
/*
Include declarations.
*/
#include "MagickCore/studio.h"
#include "MagickCore/cache-private.h"
#include "MagickCore/channel.h"
#include "MagickCore/colorspace-private.h"
#include "MagickCore/composite-private.h"
#include "MagickCore/enhance.h"
#include "MagickCore/image.h"
#include "MagickCore/list.h"
#include "MagickCore/log.h"
#include "MagickCore/monitor.h"
#include "MagickCore/monitor-private.h"
#include "MagickCore/option.h"
#include "MagickCore/pixel-accessor.h"
#include "MagickCore/pixel-private.h"
#include "MagickCore/resource_.h"
#include "MagickCore/string-private.h"
#include "MagickCore/thread-private.h"
#include "MagickCore/token.h"
#include "MagickCore/utility.h"
#include "MagickCore/version.h"
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C h a n n e l F x I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ChannelFxImage() applies a channel expression to the specified image. The
% expression consists of one or more channels, either mnemonic or numeric (e.g.
% red, 1), separated by actions as follows:
%
% <=> exchange two channels (e.g. red<=>blue)
% => copy one channel to another channel (e.g. red=>green)
% = assign a constant value to a channel (e.g. red=50%)
% , write new image channels in the specified order (e.g. red, green)
% | add a new output image for the next set of channel operations
% ; move to the next input image for the source of channel data
%
% For example, to create 3 grayscale images from the red, green, and blue
% channels of an image, use:
%
% -channel-fx "red; green; blue"
%
% A channel without an operation symbol implies separate (i.e, semicolon).
%
% The format of the ChannelFxImage method is:
%
% Image *ChannelFxImage(const Image *image,const char *expression,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o expression: A channel expression.
%
% o exception: return any errors or warnings in this structure.
%
*/
typedef enum
{
ExtractChannelOp,
AssignChannelOp,
ExchangeChannelOp,
TransferChannelOp
} ChannelFx;
static inline size_t MagickMin(const size_t x,const size_t y)
{
if (x < y)
return(x);
return(y);
}
static MagickBooleanType ChannelImage(Image *destination_image,
const PixelChannel destination_channel,const ChannelFx channel_op,
const Image *source_image,const PixelChannel source_channel,
const Quantum pixel,ExceptionInfo *exception)
{
CacheView
*source_view,
*destination_view;
MagickBooleanType
status;
size_t
height,
width;
ssize_t
y;
status=MagickTrue;
source_view=AcquireVirtualCacheView(source_image,exception);
destination_view=AcquireAuthenticCacheView(destination_image,exception);
height=MagickMin(source_image->rows,destination_image->rows);
width=MagickMin(source_image->columns,destination_image->columns);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static,4) shared(status) \
magick_threads(source_image,source_image,height,1)
#endif
for (y=0; y < (ssize_t) height; y++)
{
PixelTrait
destination_traits,
source_traits;
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(source_view,0,y,source_image->columns,1,
exception);
q=GetCacheViewAuthenticPixels(destination_view,0,y,
destination_image->columns,1,exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
destination_traits=GetPixelChannelTraits(destination_image,
destination_channel);
source_traits=GetPixelChannelTraits(source_image,source_channel);
if ((destination_traits == UndefinedPixelTrait) ||
(source_traits == UndefinedPixelTrait))
continue;
for (x=0; x < (ssize_t) width; x++)
{
if (channel_op == AssignChannelOp)
SetPixelChannel(destination_image,destination_channel,pixel,q);
else
SetPixelChannel(destination_image,destination_channel,
GetPixelChannel(source_image,source_channel,p),q);
p+=GetPixelChannels(source_image);
q+=GetPixelChannels(destination_image);
}
if (SyncCacheViewAuthenticPixels(destination_view,exception) == MagickFalse)
status=MagickFalse;
}
destination_view=DestroyCacheView(destination_view);
source_view=DestroyCacheView(source_view);
return(status);
}
MagickExport Image *ChannelFxImage(const Image *image,const char *expression,
ExceptionInfo *exception)
{
#define ChannelFxImageTag "ChannelFx/Image"
ChannelFx
channel_op;
ChannelType
channel_mask;
char
token[MaxTextExtent];
const char
*p;
const Image
*source_image;
double
pixel;
Image
*destination_image;
MagickBooleanType
status;
PixelChannel
source_channel,
destination_channel;
ssize_t
channels;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
source_image=image;
destination_image=CloneImage(source_image,0,0,MagickTrue,exception);
if (destination_image == (Image *) NULL)
return((Image *) NULL);
if (expression == (const char *) NULL)
return(destination_image);
destination_channel=RedPixelChannel;
channel_mask=UndefinedChannel;
pixel=0.0;
p=(char *) expression;
GetMagickToken(p,&p,token);
channel_op=ExtractChannelOp;
for (channels=0; *token != '\0'; )
{
ssize_t
i;
/*
Interpret channel expression.
*/
switch (*token)
{
case ',':
{
GetMagickToken(p,&p,token);
break;
}
case '|':
{
if (GetNextImageInList(source_image) != (Image *) NULL)
source_image=GetNextImageInList(source_image);
else
source_image=GetFirstImageInList(source_image);
GetMagickToken(p,&p,token);
break;
}
case ';':
{
Image
*canvas;
SetPixelChannelMask(destination_image,channel_mask);
if ((channel_op == ExtractChannelOp) && (channels == 1))
(void) SetImageColorspace(destination_image,GRAYColorspace,exception);
status=SetImageStorageClass(destination_image,DirectClass,exception);
if (status == MagickFalse)
{
destination_image=DestroyImageList(destination_image);
return(destination_image);
}
canvas=CloneImage(source_image,0,0,MagickTrue,exception);
if (canvas == (Image *) NULL)
{
destination_image=DestroyImageList(destination_image);
return(destination_image);
}
AppendImageToList(&destination_image,canvas);
destination_image=GetLastImageInList(destination_image);
GetMagickToken(p,&p,token);
channels=0;
destination_channel=RedPixelChannel;
channel_mask=UndefinedChannel;
break;
}
default:
break;
}
i=ParsePixelChannelOption(token);
if (i < 0)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnrecognizedChannelType","`%s'",token);
destination_image=DestroyImageList(destination_image);
return(destination_image);
}
source_channel=(PixelChannel) i;
channel_op=ExtractChannelOp;
GetMagickToken(p,&p,token);
if (*token == '<')
{
channel_op=ExchangeChannelOp;
GetMagickToken(p,&p,token);
}
if (*token == '=')
{
if (channel_op != ExchangeChannelOp)
channel_op=AssignChannelOp;
GetMagickToken(p,&p,token);
}
if (*token == '>')
{
if (channel_op != ExchangeChannelOp)
channel_op=TransferChannelOp;
GetMagickToken(p,&p,token);
}
switch (channel_op)
{
case AssignChannelOp:
{
pixel=StringToDoubleInterval(token,(double) QuantumRange+1.0);
GetMagickToken(p,&p,token);
break;
}
case ExchangeChannelOp:
case TransferChannelOp:
{
i=ParsePixelChannelOption(token);
if (i < 0)
{
(void) ThrowMagickException(exception,GetMagickModule(),OptionError,
"UnrecognizedChannelType","`%s'",token);
destination_image=DestroyImageList(destination_image);
return(destination_image);
}
destination_channel=(PixelChannel) i;
switch (destination_channel)
{
case RedPixelChannel:
case GreenPixelChannel:
case BluePixelChannel:
case BlackPixelChannel:
case IndexPixelChannel:
break;
case AlphaPixelChannel:
{
destination_image->alpha_trait=BlendPixelTrait;
break;
}
case ReadMaskPixelChannel:
{
destination_image->read_mask=MagickTrue;
break;
}
case WriteMaskPixelChannel:
{
destination_image->write_mask=MagickTrue;
break;
}
case MetaPixelChannel:
default:
{
(void) SetPixelMetaChannels(destination_image,(size_t) (i-
GetPixelChannels(destination_image)+1),exception);
break;
}
}
channel_mask=(ChannelType) (channel_mask | ParseChannelOption(token));
if (((channels >= 1) || (destination_channel >= 1)) &&
(IsGrayColorspace(destination_image->colorspace) != MagickFalse))
(void) SetImageColorspace(destination_image,sRGBColorspace,exception);
GetMagickToken(p,&p,token);
break;
}
default:
break;
}
status=ChannelImage(destination_image,destination_channel,channel_op,
source_image,source_channel,ClampToQuantum(pixel),exception);
if (status == MagickFalse)
{
destination_image=DestroyImageList(destination_image);
break;
}
channels++;
if (channel_op == ExchangeChannelOp)
{
status=ChannelImage(destination_image,source_channel,channel_op,
source_image,destination_channel,ClampToQuantum(pixel),exception);
if (status == MagickFalse)
{
destination_image=DestroyImageList(destination_image);
break;
}
channels++;
}
switch (channel_op)
{
case ExtractChannelOp:
{
channel_mask=(ChannelType) (channel_mask | (1 << destination_channel));
destination_channel=(PixelChannel) (destination_channel+1);
break;
}
default:
break;
}
status=SetImageProgress(source_image,ChannelFxImageTag,p-expression,
strlen(expression));
if (status == MagickFalse)
break;
}
SetPixelChannelMask(destination_image,channel_mask);
if ((channel_op == ExtractChannelOp) && (channels == 1))
(void) SetImageColorspace(destination_image,GRAYColorspace,exception);
status=SetImageStorageClass(destination_image,DirectClass,exception);
if (status == MagickFalse)
{
destination_image=GetLastImageInList(destination_image);
return((Image *) NULL);
}
return(GetFirstImageInList(destination_image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% 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 *images,const ColorspaceType colorspace,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o colorspace: the image colorspace.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CombineImages(const Image *image,
const ColorspaceType colorspace,ExceptionInfo *exception)
{
#define CombineImageTag "Combine/Image"
CacheView
*combine_view;
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 == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
combine_image=CloneImage(image,0,0,MagickTrue,exception);
if (combine_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(combine_image,DirectClass,exception) == MagickFalse)
{
combine_image=DestroyImage(combine_image);
return((Image *) NULL);
}
(void) SetImageColorspace(combine_image,colorspace,exception);
if ((GetPixelAlphaTraits(image) & UpdatePixelTrait) != 0)
combine_image->alpha_trait=BlendPixelTrait;
/*
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;
Quantum
*pixels;
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
i;
if (status == MagickFalse)
continue;
pixels=GetCacheViewAuthenticPixels(combine_view,0,y,combine_image->columns,
1,exception);
if (pixels == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
next=image;
for (i=0; i < (ssize_t) GetPixelChannels(combine_image); i++)
{
register ssize_t
x;
PixelChannel channel=GetPixelChannelChannel(combine_image,i);
PixelTrait traits=GetPixelChannelTraits(combine_image,channel);
if (traits == UndefinedPixelTrait)
continue;
if (next == (Image *) NULL)
continue;
image_view=AcquireVirtualCacheView(next,exception);
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
if (p == (const Quantum *) NULL)
continue;
q=pixels;
for (x=0; x < (ssize_t) combine_image->columns; x++)
{
if (x < (ssize_t) next->columns)
{
q[i]=GetPixelGray(next,p);
p+=GetPixelChannels(next);
}
q+=GetPixelChannels(combine_image);
}
image_view=DestroyCacheView(image_view);
next=GetNextImageInList(next);
}
if (SyncCacheViewAuthenticPixels(combine_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,CombineImageTag,progress++,
combine_image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
combine_view=DestroyCacheView(combine_view);
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 == MagickSignature);
return(image->alpha_trait == BlendPixelTrait ? MagickTrue : MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e p a r a t e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SeparateImage() separates a channel from the image and returns it as a
% grayscale image.
%
% The format of the SeparateImage method is:
%
% Image *SeparateImage(const Image *image,const ChannelType channel,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channel: the image channel.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SeparateImage(const Image *image,
const ChannelType channel_type,ExceptionInfo *exception)
{
#define GetChannelBit(mask,bit) (((size_t) (mask) >> (size_t) (bit)) & 0x01)
#define SeparateImageTag "Separate/Image"
CacheView
*image_view,
*separate_view;
Image
*separate_image;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
/*
Initialize separate image attributes.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickSignature);
separate_image=CloneImage(image,image->columns,image->rows,MagickTrue,
exception);
if (separate_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(separate_image,DirectClass,exception) == MagickFalse)
{
separate_image=DestroyImage(separate_image);
return((Image *) NULL);
}
(void) SetImageColorspace(separate_image,GRAYColorspace,exception);
separate_image->alpha_trait=UndefinedPixelTrait;
/*
Separate image.
*/
status=MagickTrue;
progress=0;
image_view=AcquireVirtualCacheView(image,exception);
separate_view=AcquireAuthenticCacheView(separate_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; y++)
{
register const Quantum
*restrict p;
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,image->columns,1,exception);
q=QueueCacheViewAuthenticPixels(separate_view,0,y,separate_image->columns,1,
exception);
if ((p == (const Quantum *) NULL) || (q == (Quantum *) NULL))
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
register ssize_t
i;
if (GetPixelReadMask(image,p) == 0)
{
SetPixelBackgoundColor(separate_image,q);
p+=GetPixelChannels(image);
q+=GetPixelChannels(separate_image);
continue;
}
SetPixelChannel(separate_image,GrayPixelChannel,0,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
(GetChannelBit(channel_type,channel) == 0))
continue;
SetPixelChannel(separate_image,GrayPixelChannel,p[i],q);
}
p+=GetPixelChannels(image);
q+=GetPixelChannels(separate_image);
}
if (SyncCacheViewAuthenticPixels(separate_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp critical (MagickCore_SeparateImage)
#endif
proceed=SetImageProgress(image,SeparateImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
separate_view=DestroyCacheView(separate_view);
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
separate_image=DestroyImage(separate_image);
return(separate_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% 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:
%
% Image *SeparateImages(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *SeparateImages(const Image *image,ExceptionInfo *exception)
{
Image
*images,
*separate_image;
register ssize_t
i;
assert(image != (Image *) NULL);
assert(image->signature == MagickSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
images=NewImageList();
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits == UndefinedPixelTrait) ||
((traits & UpdatePixelTrait) == 0))
continue;
separate_image=SeparateImage(image,(ChannelType) (1 << channel),exception);
if (separate_image != (Image *) NULL)
AppendImageToList(&images,separate_image);
}
if (images == (Image *) NULL)
images=SeparateImage(image,UndefinedChannel,exception);
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 AlphaChannelOption alpha_type,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o alpha_type: The alpha channel type: ActivateAlphaChannel,
% AssociateAlphaChannel, CopyAlphaChannel, DeactivateAlphaChannel,
% DisassociateAlphaChannel, ExtractAlphaChannel, OpaqueAlphaChannel,
% SetAlphaChannel, ShapeAlphaChannel, and TransparentAlphaChannel.
%
% o exception: return any errors or warnings in this structure.
%
*/
static inline void FlattenPixelInfo(const Image *image,const PixelInfo *p,
const double alpha,const Quantum *q,const double beta,
Quantum *composite)
{
double
Da,
gamma,
Sa;
register ssize_t
i;
/*
Compose pixel p over pixel q with the given alpha.
*/
Sa=QuantumScale*alpha;
Da=QuantumScale*beta,
gamma=Sa*(-Da)+Sa+Da;
gamma=PerceptibleReciprocal(gamma);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if (traits == UndefinedPixelTrait)
continue;
switch (channel)
{
case RedPixelChannel:
{
composite[i]=ClampToQuantum(gamma*MagickOver_((double) q[i],beta,
(double) p->red,alpha));
break;
}
case GreenPixelChannel:
{
composite[i]=ClampToQuantum(gamma*MagickOver_((double) q[i],beta,
(double) p->green,alpha));
break;
}
case BluePixelChannel:
{
composite[i]=ClampToQuantum(gamma*MagickOver_((double) q[i],beta,
(double) p->blue,alpha));
break;
}
case BlackPixelChannel:
{
composite[i]=ClampToQuantum(gamma*MagickOver_((double) q[i],beta,
(double) p->black,alpha));
break;
}
case AlphaPixelChannel:
{
composite[i]=ClampToQuantum(QuantumRange*(Sa*(-Da)+Sa+Da));
break;
}
default:
break;
}
}
}
MagickExport MagickBooleanType SetImageAlphaChannel(Image *image,
const AlphaChannelOption alpha_type,ExceptionInfo *exception)
{
CacheView
*image_view;
MagickBooleanType
status;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickSignature);
status=MagickTrue;
switch (alpha_type)
{
case ActivateAlphaChannel:
{
image->alpha_trait=BlendPixelTrait;
break;
}
case AssociateAlphaChannel:
{
/*
Associate alpha.
*/
status=SetImageStorageClass(image,DirectClass,exception);
if (status == MagickFalse)
break;
image_view=AcquireAuthenticCacheView(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++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
Sa;
register ssize_t
i;
if (GetPixelReadMask(image,q) == 0)
{
q+=GetPixelChannels(image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,q);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ClampToQuantum(Sa*q[i]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->alpha_trait=CopyPixelTrait;
return(status);
}
case BackgroundAlphaChannel:
{
/*
Set transparent pixels to background color.
*/
if (image->alpha_trait != BlendPixelTrait)
break;
status=SetImageStorageClass(image,DirectClass,exception);
if (status == MagickFalse)
break;
image_view=AcquireAuthenticCacheView(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++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
if (GetPixelAlpha(image,q) == TransparentAlpha)
{
SetPixelInfoPixel(image,&image->background_color,q);
SetPixelChannel(image,AlphaPixelChannel,TransparentAlpha,q);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
case CopyAlphaChannel:
case ShapeAlphaChannel:
{
/*
Copy pixel intensity to the alpha channel.
*/
status=CompositeImage(image,image,IntensityCompositeOp,MagickTrue,0,0,
exception);
if (alpha_type == ShapeAlphaChannel)
(void) LevelImageColors(image,&image->background_color,
&image->background_color,MagickTrue,exception);
break;
}
case DeactivateAlphaChannel:
{
image->alpha_trait=CopyPixelTrait;
break;
}
case DisassociateAlphaChannel:
{
/*
Disassociate alpha.
*/
status=SetImageStorageClass(image,DirectClass,exception);
if (status == MagickFalse)
break;
image->alpha_trait=BlendPixelTrait;
image_view=AcquireAuthenticCacheView(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++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
double
gamma,
Sa;
register ssize_t
i;
if (GetPixelReadMask(image,q) == 0)
{
q+=GetPixelChannels(image);
continue;
}
Sa=QuantumScale*GetPixelAlpha(image,q);
gamma=PerceptibleReciprocal(Sa);
for (i=0; i < (ssize_t) GetPixelChannels(image); i++)
{
PixelChannel channel=GetPixelChannelChannel(image,i);
PixelTrait traits=GetPixelChannelTraits(image,channel);
if ((traits & UpdatePixelTrait) == 0)
continue;
q[i]=ClampToQuantum(gamma*q[i]);
}
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
case DiscreteAlphaChannel:
{
image->alpha_trait=UpdatePixelTrait;
break;
}
case ExtractAlphaChannel:
{
status=CompositeImage(image,image,AlphaCompositeOp,MagickTrue,0,0,
exception);
image->alpha_trait=CopyPixelTrait;
break;
}
case OpaqueAlphaChannel:
{
status=SetImageAlpha(image,OpaqueAlpha,exception);
break;
}
case RemoveAlphaChannel:
{
/*
Remove transparency.
*/
if (image->alpha_trait != BlendPixelTrait)
break;
status=SetImageStorageClass(image,DirectClass,exception);
if (status == MagickFalse)
break;
image_view=AcquireAuthenticCacheView(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++)
{
register Quantum
*restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
q=GetCacheViewAuthenticPixels(image_view,0,y,image->columns,1,
exception);
if (q == (Quantum *) NULL)
{
status=MagickFalse;
continue;
}
for (x=0; x < (ssize_t) image->columns; x++)
{
FlattenPixelInfo(image,&image->background_color,
image->background_color.alpha,q,(double)
GetPixelAlpha(image,q),q);
q+=GetPixelChannels(image);
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->alpha_trait=image->background_color.alpha_trait;
return(status);
}
case SetAlphaChannel:
{
if (image->alpha_trait != BlendPixelTrait)
status=SetImageAlpha(image,OpaqueAlpha,exception);
break;
}
case TransparentAlphaChannel:
{
status=SetImageAlpha(image,TransparentAlpha,exception);
break;
}
case UndefinedAlphaChannel:
break;
}
if (status == MagickFalse)
return(status);
return(SyncImagePixelCache(image,exception));
}
|
dotp.c | #include <dotp.h>
// modify this function
double dotp(double* x, double* y) {
double global_sum = 0.0;
#pragma omp parallel
{
#pragma omp for
for(int i=0; i<ARRAY_SIZE; i++)
#pragma omp critical
global_sum += x[i] * y[i];
}
return global_sum;
}
|
convolutiondepthwise_5x5_packn_fp16s.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void convdw5x5s1_packn_fp16sa_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
const int packn = csrr_vlenb() / 2;
const word_type vl = vsetvl_e16m1(packn);
int w = bottom_blob.w;
int outw = top_blob.w;
int outh = top_blob.h;
const int group = bottom_blob.c;
const __fp16* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
vfloat16m1_t _bias0 = bias ? vle16_v_f16m1(bias + g * packn, vl) : vfmv_v_f_f16m1((__fp16)0.f, vl);
const __fp16* k0 = kernel.row<const __fp16>(g);
__fp16* outptr0 = out.row<__fp16>(0);
__fp16* outptr1 = out.row<__fp16>(1);
const Mat img0 = bottom_blob.channel(g);
const __fp16* r0 = img0.row<const __fp16>(0);
const __fp16* r1 = img0.row<const __fp16>(1);
const __fp16* r2 = img0.row<const __fp16>(2);
const __fp16* r3 = img0.row<const __fp16>(3);
const __fp16* r4 = img0.row<const __fp16>(4);
const __fp16* r5 = img0.row<const __fp16>(5);
int i = 0;
for (; i + 1 < outh; i += 2)
{
int j = 0;
for (; j < outw; j++)
{
vfloat16m1_t _sum0 = _bias0;
vfloat16m1_t _sum1 = _bias0;
vfloat16m1_t _r00 = vle16_v_f16m1(r0, vl);
vfloat16m1_t _r01 = vle16_v_f16m1(r0 + packn, vl);
vfloat16m1_t _r02 = vle16_v_f16m1(r0 + packn * 2, vl);
vfloat16m1_t _r03 = vle16_v_f16m1(r0 + packn * 3, vl);
vfloat16m1_t _r04 = vle16_v_f16m1(r0 + packn * 4, vl);
vfloat16m1_t _k00 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k01 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k02 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k03 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k04 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k00, _r00, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k01, _r01, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k02, _r02, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k03, _r03, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k04, _r04, vl);
vfloat16m1_t _r10 = vle16_v_f16m1(r1, vl);
vfloat16m1_t _r11 = vle16_v_f16m1(r1 + packn, vl);
vfloat16m1_t _r12 = vle16_v_f16m1(r1 + packn * 2, vl);
vfloat16m1_t _r13 = vle16_v_f16m1(r1 + packn * 3, vl);
vfloat16m1_t _r14 = vle16_v_f16m1(r1 + packn * 4, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k00, _r10, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k01, _r11, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k02, _r12, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k03, _r13, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k04, _r14, vl);
vfloat16m1_t _k10 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k11 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k12 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k13 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k14 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k10, _r10, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k11, _r11, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k12, _r12, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k13, _r13, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k14, _r14, vl);
vfloat16m1_t _r20 = vle16_v_f16m1(r2, vl);
vfloat16m1_t _r21 = vle16_v_f16m1(r2 + packn, vl);
vfloat16m1_t _r22 = vle16_v_f16m1(r2 + packn * 2, vl);
vfloat16m1_t _r23 = vle16_v_f16m1(r2 + packn * 3, vl);
vfloat16m1_t _r24 = vle16_v_f16m1(r2 + packn * 4, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k10, _r20, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k11, _r21, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k12, _r22, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k13, _r23, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k14, _r24, vl);
vfloat16m1_t _k20 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k21 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k22 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k23 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k24 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k20, _r20, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k21, _r21, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k22, _r22, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k23, _r23, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k24, _r24, vl);
vfloat16m1_t _r30 = vle16_v_f16m1(r3, vl);
vfloat16m1_t _r31 = vle16_v_f16m1(r3 + packn, vl);
vfloat16m1_t _r32 = vle16_v_f16m1(r3 + packn * 2, vl);
vfloat16m1_t _r33 = vle16_v_f16m1(r3 + packn * 3, vl);
vfloat16m1_t _r34 = vle16_v_f16m1(r3 + packn * 4, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k20, _r30, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k21, _r31, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k22, _r32, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k23, _r33, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k24, _r34, vl);
vfloat16m1_t _k30 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k31 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k32 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k33 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k34 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k30, _r30, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k31, _r31, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k32, _r32, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k33, _r33, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k34, _r34, vl);
vfloat16m1_t _r40 = vle16_v_f16m1(r4, vl);
vfloat16m1_t _r41 = vle16_v_f16m1(r4 + packn, vl);
vfloat16m1_t _r42 = vle16_v_f16m1(r4 + packn * 2, vl);
vfloat16m1_t _r43 = vle16_v_f16m1(r4 + packn * 3, vl);
vfloat16m1_t _r44 = vle16_v_f16m1(r4 + packn * 4, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k30, _r40, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k31, _r41, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k32, _r42, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k33, _r43, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k34, _r44, vl);
vfloat16m1_t _k40 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k41 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k42 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k43 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k44 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 -= packn * 20;
_sum0 = vfmacc_vv_f16m1(_sum0, _k40, _r40, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k41, _r41, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k42, _r42, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k43, _r43, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k44, _r44, vl);
vfloat16m1_t _r50 = vle16_v_f16m1(r5, vl);
vfloat16m1_t _r51 = vle16_v_f16m1(r5 + packn, vl);
vfloat16m1_t _r52 = vle16_v_f16m1(r5 + packn * 2, vl);
vfloat16m1_t _r53 = vle16_v_f16m1(r5 + packn * 3, vl);
vfloat16m1_t _r54 = vle16_v_f16m1(r5 + packn * 4, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k40, _r50, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k41, _r51, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k42, _r52, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k43, _r53, vl);
_sum1 = vfmacc_vv_f16m1(_sum1, _k44, _r54, vl);
vse16_v_f16m1(outptr0, _sum0, vl);
vse16_v_f16m1(outptr1, _sum1, vl);
outptr0 += packn;
outptr1 += packn;
r0 += packn;
r1 += packn;
r2 += packn;
r3 += packn;
r4 += packn;
r5 += packn;
}
r0 += 4 * packn + w * packn;
r1 += 4 * packn + w * packn;
r2 += 4 * packn + w * packn;
r3 += 4 * packn + w * packn;
r4 += 4 * packn + w * packn;
r5 += 4 * packn + w * packn;
outptr0 += outw * packn;
outptr1 += outw * packn;
}
for (; i < outh; i++)
{
int j = 0;
for (; j < outw; j++)
{
vfloat16m1_t _sum0 = _bias0;
vfloat16m1_t _r00 = vle16_v_f16m1(r0, vl);
vfloat16m1_t _r01 = vle16_v_f16m1(r0 + packn, vl);
vfloat16m1_t _r02 = vle16_v_f16m1(r0 + packn * 2, vl);
vfloat16m1_t _r03 = vle16_v_f16m1(r0 + packn * 3, vl);
vfloat16m1_t _r04 = vle16_v_f16m1(r0 + packn * 4, vl);
vfloat16m1_t _k00 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k01 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k02 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k03 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k04 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k00, _r00, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k01, _r01, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k02, _r02, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k03, _r03, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k04, _r04, vl);
vfloat16m1_t _r10 = vle16_v_f16m1(r1, vl);
vfloat16m1_t _r11 = vle16_v_f16m1(r1 + packn, vl);
vfloat16m1_t _r12 = vle16_v_f16m1(r1 + packn * 2, vl);
vfloat16m1_t _r13 = vle16_v_f16m1(r1 + packn * 3, vl);
vfloat16m1_t _r14 = vle16_v_f16m1(r1 + packn * 4, vl);
vfloat16m1_t _k10 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k11 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k12 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k13 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k14 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k10, _r10, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k11, _r11, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k12, _r12, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k13, _r13, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k14, _r14, vl);
vfloat16m1_t _r20 = vle16_v_f16m1(r2, vl);
vfloat16m1_t _r21 = vle16_v_f16m1(r2 + packn, vl);
vfloat16m1_t _r22 = vle16_v_f16m1(r2 + packn * 2, vl);
vfloat16m1_t _r23 = vle16_v_f16m1(r2 + packn * 3, vl);
vfloat16m1_t _r24 = vle16_v_f16m1(r2 + packn * 4, vl);
vfloat16m1_t _k20 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k21 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k22 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k23 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k24 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k20, _r20, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k21, _r21, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k22, _r22, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k23, _r23, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k24, _r24, vl);
vfloat16m1_t _r30 = vle16_v_f16m1(r3, vl);
vfloat16m1_t _r31 = vle16_v_f16m1(r3 + packn, vl);
vfloat16m1_t _r32 = vle16_v_f16m1(r3 + packn * 2, vl);
vfloat16m1_t _r33 = vle16_v_f16m1(r3 + packn * 3, vl);
vfloat16m1_t _r34 = vle16_v_f16m1(r3 + packn * 4, vl);
vfloat16m1_t _k30 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k31 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k32 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k33 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k34 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k30, _r30, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k31, _r31, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k32, _r32, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k33, _r33, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k34, _r34, vl);
vfloat16m1_t _r40 = vle16_v_f16m1(r4, vl);
vfloat16m1_t _r41 = vle16_v_f16m1(r4 + packn, vl);
vfloat16m1_t _r42 = vle16_v_f16m1(r4 + packn * 2, vl);
vfloat16m1_t _r43 = vle16_v_f16m1(r4 + packn * 3, vl);
vfloat16m1_t _r44 = vle16_v_f16m1(r4 + packn * 4, vl);
vfloat16m1_t _k40 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k41 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k42 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k43 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k44 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 -= packn * 20;
_sum0 = vfmacc_vv_f16m1(_sum0, _k40, _r40, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k41, _r41, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k42, _r42, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k43, _r43, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k44, _r44, vl);
vse16_v_f16m1(outptr0, _sum0, vl);
outptr0 += packn;
r0 += packn;
r1 += packn;
r2 += packn;
r3 += packn;
r4 += packn;
}
r0 += 4 * packn;
r1 += 4 * packn;
r2 += 4 * packn;
r3 += 4 * packn;
r4 += 4 * packn;
}
}
}
static void convdw5x5s2_packn_fp16sa_rvv(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
const int packn = csrr_vlenb() / 2;
const word_type vl = vsetvl_e16m1(packn);
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) * packn;
const __fp16* bias = _bias;
#pragma omp parallel for num_threads(opt.num_threads)
for (int g = 0; g < group; g++)
{
Mat out = top_blob.channel(g);
vfloat16m1_t _bias0 = bias ? vle16_v_f16m1(bias + g * packn, vl) : vfmv_v_f_f16m1((__fp16)0.f, vl);
const __fp16* k0 = kernel.row<const __fp16>(g);
__fp16* outptr0 = out.row<__fp16>(0);
const Mat img0 = bottom_blob.channel(g);
const __fp16* r0 = img0.row<const __fp16>(0);
const __fp16* r1 = img0.row<const __fp16>(1);
const __fp16* r2 = img0.row<const __fp16>(2);
const __fp16* r3 = img0.row<const __fp16>(3);
const __fp16* r4 = img0.row<const __fp16>(4);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j < outw; j++)
{
vfloat16m1_t _sum0 = _bias0;
vfloat16m1_t _r00 = vle16_v_f16m1(r0, vl);
vfloat16m1_t _r01 = vle16_v_f16m1(r0 + packn, vl);
vfloat16m1_t _r02 = vle16_v_f16m1(r0 + packn * 2, vl);
vfloat16m1_t _r03 = vle16_v_f16m1(r0 + packn * 3, vl);
vfloat16m1_t _r04 = vle16_v_f16m1(r0 + packn * 4, vl);
vfloat16m1_t _k00 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k01 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k02 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k03 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k04 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k00, _r00, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k01, _r01, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k02, _r02, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k03, _r03, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k04, _r04, vl);
vfloat16m1_t _r10 = vle16_v_f16m1(r1, vl);
vfloat16m1_t _r11 = vle16_v_f16m1(r1 + packn, vl);
vfloat16m1_t _r12 = vle16_v_f16m1(r1 + packn * 2, vl);
vfloat16m1_t _r13 = vle16_v_f16m1(r1 + packn * 3, vl);
vfloat16m1_t _r14 = vle16_v_f16m1(r1 + packn * 4, vl);
vfloat16m1_t _k10 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k11 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k12 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k13 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k14 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k10, _r10, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k11, _r11, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k12, _r12, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k13, _r13, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k14, _r14, vl);
vfloat16m1_t _r20 = vle16_v_f16m1(r2, vl);
vfloat16m1_t _r21 = vle16_v_f16m1(r2 + packn, vl);
vfloat16m1_t _r22 = vle16_v_f16m1(r2 + packn * 2, vl);
vfloat16m1_t _r23 = vle16_v_f16m1(r2 + packn * 3, vl);
vfloat16m1_t _r24 = vle16_v_f16m1(r2 + packn * 4, vl);
vfloat16m1_t _k20 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k21 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k22 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k23 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k24 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k20, _r20, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k21, _r21, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k22, _r22, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k23, _r23, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k24, _r24, vl);
vfloat16m1_t _r30 = vle16_v_f16m1(r3, vl);
vfloat16m1_t _r31 = vle16_v_f16m1(r3 + packn, vl);
vfloat16m1_t _r32 = vle16_v_f16m1(r3 + packn * 2, vl);
vfloat16m1_t _r33 = vle16_v_f16m1(r3 + packn * 3, vl);
vfloat16m1_t _r34 = vle16_v_f16m1(r3 + packn * 4, vl);
vfloat16m1_t _k30 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k31 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k32 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k33 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k34 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 += packn * 5;
_sum0 = vfmacc_vv_f16m1(_sum0, _k30, _r30, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k31, _r31, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k32, _r32, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k33, _r33, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k34, _r34, vl);
vfloat16m1_t _r40 = vle16_v_f16m1(r4, vl);
vfloat16m1_t _r41 = vle16_v_f16m1(r4 + packn, vl);
vfloat16m1_t _r42 = vle16_v_f16m1(r4 + packn * 2, vl);
vfloat16m1_t _r43 = vle16_v_f16m1(r4 + packn * 3, vl);
vfloat16m1_t _r44 = vle16_v_f16m1(r4 + packn * 4, vl);
vfloat16m1_t _k40 = vle16_v_f16m1(k0, vl);
vfloat16m1_t _k41 = vle16_v_f16m1(k0 + packn, vl);
vfloat16m1_t _k42 = vle16_v_f16m1(k0 + packn * 2, vl);
vfloat16m1_t _k43 = vle16_v_f16m1(k0 + packn * 3, vl);
vfloat16m1_t _k44 = vle16_v_f16m1(k0 + packn * 4, vl);
k0 -= packn * 20;
_sum0 = vfmacc_vv_f16m1(_sum0, _k40, _r40, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k41, _r41, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k42, _r42, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k43, _r43, vl);
_sum0 = vfmacc_vv_f16m1(_sum0, _k44, _r44, vl);
vse16_v_f16m1(outptr0, _sum0, vl);
outptr0 += packn;
r0 += packn * 2;
r1 += packn * 2;
r2 += packn * 2;
r3 += packn * 2;
r4 += packn * 2;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
r3 += tailstep;
r4 += tailstep;
}
}
}
|
jacobi-2d.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
*/
/* jacobi-2d.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 "jacobi-2d.h"
/* Array initialization. */
static
void init_array (int n,
DATA_TYPE POLYBENCH_2D(A, N, N, n, n),
DATA_TYPE POLYBENCH_2D(B, N, N, n, n))
{
int i, j;
for (i = 0; i < n; i++)
for (j = 0; j < n; j++)
{
A[i][j] = ((DATA_TYPE) i * (j + 2) + 2) / n;
B[i][j] = ((DATA_TYPE) i * (j + 3) + 3) / 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_2D(A, N, N, n, n))
{
int i, j;
POLYBENCH_DUMP_START;
POLYBENCH_DUMP_BEGIN("A");
for (i = 0; i < n; i++)
for (j = 0; j < n; j++)
{
if ((i * n + j) % 20 == 0) fprintf(POLYBENCH_DUMP_TARGET, "\n");
fprintf(POLYBENCH_DUMP_TARGET, DATA_PRINTF_MODIFIER, A[i][j]);
}
POLYBENCH_DUMP_END("A");
POLYBENCH_DUMP_FINISH;
}
/* Main computational kernel. The whole function will be timed,
including the call and return. */
static
void kernel_jacobi_2d(int tsteps,
int n,
DATA_TYPE POLYBENCH_2D(A, N, N, n, n),
DATA_TYPE POLYBENCH_2D(B, N, N, n, n))
{
int t, i, j;
for (t = 0; t < _PB_TSTEPS; t++)
{
#pragma omp parallel for default(shared) private(i, j) firstprivate(n, A)
for (i = 1; i < _PB_N - 1; i++)
{
for (j = 1; j < _PB_N - 1; j++)
B[i][j] = SCALAR_VAL(0.2) * (A[i][j] + A[i][j - 1] + A[i][1 + j] + A[1 + i][j] + A[i - 1][j]);
}
#pragma omp parallel for default(shared) private(i, j) firstprivate(n, B)
for (i = 1; i < _PB_N - 1; i++)
{
for (j = 1; j < _PB_N - 1; j++)
A[i][j] = SCALAR_VAL(0.2) * (B[i][j] + B[i][j - 1] + B[i][1 + j] + B[1 + i][j] + B[i - 1][j]);
}
}
}
int main(int argc, char** argv)
{
/* Retrieve problem size. */
int n = N;
int tsteps = TSTEPS;
/* Variable declaration/allocation. */
POLYBENCH_2D_ARRAY_DECL(A, DATA_TYPE, N, N, n, n);
POLYBENCH_2D_ARRAY_DECL(B, DATA_TYPE, N, N, n, n);
/* Initialize array(s). */
init_array (n, POLYBENCH_ARRAY(A), POLYBENCH_ARRAY(B));
/* Start timer. */
polybench_start_instruments;
/* Run kernel. */
kernel_jacobi_2d(tsteps, n, POLYBENCH_ARRAY(A), POLYBENCH_ARRAY(B));
/* 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(A)));
/* Be clean. */
POLYBENCH_FREE_ARRAY(A);
POLYBENCH_FREE_ARRAY(B);
return 0;
}
|
add-brisbane.c | //-------------------------------------------------------------------------//
// //
// This benchmark is a serial C version of the NPB BT code. This C //
// version is developed by the Center for Manycore Programming at Seoul //
// National University and derived from the serial Fortran versions in //
// "NPB3.3-SER" developed by NAS. //
// //
// Permission to use, copy, distribute and modify this software for any //
// purpose with or without fee is hereby granted. This software is //
// provided "as is" without express or implied warranty. //
// //
// Information on NPB 3.3, including the technical report, the original //
// specifications, source code, results and information on how to submit //
// new results, is available at: //
// //
// http://www.nas.nasa.gov/Software/NPB/ //
// //
// Send comments or suggestions for this C version to cmp@aces.snu.ac.kr //
// //
// Center for Manycore Programming //
// School of Computer Science and Engineering //
// Seoul National University //
// Seoul 151-744, Korea //
// //
// E-mail: cmp@aces.snu.ac.kr //
// //
//-------------------------------------------------------------------------//
//-------------------------------------------------------------------------//
// Authors: Sangmin Seo, Jungwon Kim, Jun Lee, Jeongho Nah, Gangwon Jo, //
// and Jaejin Lee //
//-------------------------------------------------------------------------//
#include "header-brisbane.h"
//#include "timers.h"
//---------------------------------------------------------------------
// addition of update to the vector u
//---------------------------------------------------------------------
void add()
{
int i, j, k, m;
int gp22, gp12, gp02;
gp22 = grid_points[2]-2;
gp12 = grid_points[1]-2;
gp02 = grid_points[0]-2;
size_t kernel_add_0_off[3] = { 1, 1, 1 };
size_t kernel_add_0_idx[3] = { gp02, gp12, gp22 };
brisbane_kernel kernel_add_0;
brisbane_kernel_create("add_0", &kernel_add_0);
brisbane_kernel_setmem(kernel_add_0, 0, mem_u, brisbane_rw);
brisbane_kernel_setmem(kernel_add_0, 1, mem_rhs, brisbane_r);
brisbane_task task0;
brisbane_task_create(&task0);
brisbane_task_kernel(task0, kernel_add_0, 3, kernel_add_0_off, kernel_add_0_idx);
brisbane_task_submit(task0, brisbane_cpu, NULL, true);
#if 0
#pragma omp target //present(rhs,u)
#ifdef SPEC_USE_INNER_SIMD
#pragma omp teams distribute parallel for private(i,j,k) collapse(2)
#else
#pragma omp teams distribute parallel for simd collapse(3)
#endif
for (k = 1; k <= gp22; k++) {
for (j = 1; j <= gp12; j++) {
#ifdef SPEC_USE_INNER_SIMD
#pragma omp simd
#endif
for (i = 1; i <= gp02; i++) {
u[k][j][i][0] = u[k][j][i][0] + rhs[k][j][i][0];
u[k][j][i][1] = u[k][j][i][1] + rhs[k][j][i][1];
u[k][j][i][2] = u[k][j][i][2] + rhs[k][j][i][2];
u[k][j][i][3] = u[k][j][i][3] + rhs[k][j][i][3];
u[k][j][i][4] = u[k][j][i][4] + rhs[k][j][i][4];
}
}
}
#endif
}
|
brkTie.c | /* This code is part of this project: Donato E, Ouyang M,
* Peguero-Isalguez C. Triangle counting with a multi-core computer.
* Proceedings of IEEE High Performance Extreme Computing Conference
* (HPEC), 2018, 1-7.
*
* Copyright (c) 2018 Ming Ouyang
*
* Permission is hereby granted, free of charge, to any person
* obtaining a copy of this software and associated documentation
* files (the "Software"), to deal in the Software without
* restriction, including without limitation the rights to use, copy,
* modify, merge, publish, distribute, sublicense, and/or sell copies
* of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
* HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
* WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*/
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <omp.h>
#include "ompTri.h"
uint64_t *idx, *newID;
static uint64_t *hub;
static uint64_t oneBit[64];
//oneBit[0] 0001
//oneBit[1] 0010
//oneBit[2] 0100
//oneBit[3] 1000
//descending
static int cmpDeg(const void *a, const void *b) {
return degree[*(uint64_t*) b] - degree[*(uint64_t*) a];
}
//ascending
static int cmpNewID(const void *a, const void *b) {
return newID[*(uint64_t*) a] - newID[*(uint64_t*) b];
}
//descending degree, break tie by adjacency to hubs
static int degBrkTie(const void *a, const void *b) {
uint64_t u, v;
u = *(uint64_t*) a;
v = *(uint64_t*) b;
if (degree[u] > degree[v])
return -1;
if (degree[u] < degree[v])
return 1;
if (hub[u] > hub[v])
return -1;
if (hub[u] < hub[v])
return 1;
return 0;
}
void sortBrkTie(void) {
uint64_t i, j, u, count;
oneBit[0] = 1;
for (i = 1; i < 64; i++)
oneBit[i] = oneBit[i - 1] << 1;
idx = (uint64_t*) malloc(sizeof(uint64_t) * n);
newID = (uint64_t*) malloc(sizeof(uint64_t) * n);
hub = (uint64_t*) malloc(sizeof(uint64_t) * n);
for (i = 0; i < n; i++) {
idx[i] = i;
hub[i] = 0;
}
//sort all vertices by their degrees to find the top 64 hubs
//improve this by partitioning
qsort((void *)idx, n, sizeof(uint64_t), cmpDeg);
//adjacency to the top 64 hub vertices
for (i = 0; i < 64; i++)
for (j = 0; j < degree[ idx[i] ]; j++) {
u = neighbor[ idx[i] ] [j];
hub[u] = hub[u] | oneBit[64 - i - 1];
}
//sort by degrees, tiebreaking with adjacency to hubs
qsort((void *)idx, n, sizeof(uint64_t), degBrkTie);
for (i = 0; i < n; i++)
newID[ idx[i] ] = i;
//sort neighbors by their new indices
#pragma omp parallel for schedule(guided)
for (i = 0; i < n; i++)
if (degree[i] > 1)
qsort((void *) neighbor[i], degree[i], sizeof(uint64_t), cmpNewID);
count = 0;
//drop zero-degree vertices
while (degree[ idx[n - 1] ] == 0) {
if (neighbor[ idx[n - 1] ]) {
free(neighbor[ idx[n - 1] ]);
neighbor[ idx[n - 1] ] = NULL;
}
count++, n--;
}
free(hub);
if (verbose)
printf("%lu vertices of 0-degree are removed\n", count);
}
//memory not freed: idx, newID -- they are needed by luCSR.c
|
resource_manager.h | // -----------------------------------------------------------------------------
//
// Copyright (C) 2021 CERN & University of Surrey for the benefit of the
// BioDynaMo collaboration. 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.
//
// See the LICENSE file distributed with this work for details.
// See the NOTICE file distributed with this work for additional information
// regarding copyright ownership.
//
// -----------------------------------------------------------------------------
#ifndef CORE_RESOURCE_MANAGER_H_
#define CORE_RESOURCE_MANAGER_H_
#include <omp.h>
#include <sched.h>
#include <algorithm>
#include <cmath>
#include <limits>
#include <memory>
#include <ostream>
#include <set>
#include <string>
#include <unordered_map>
#include <utility>
#include <vector>
#include "core/agent/agent.h"
#include "core/agent/agent_handle.h"
#include "core/agent/agent_uid.h"
#include "core/agent/agent_uid_generator.h"
#include "core/container/agent_uid_map.h"
#include "core/diffusion/diffusion_grid.h"
#include "core/functor.h"
#include "core/operation/operation.h"
#include "core/simulation.h"
#include "core/type_index.h"
#include "core/util/numa.h"
#include "core/util/root.h"
#include "core/util/thread_info.h"
#include "core/util/type.h"
namespace bdm {
/// ResourceManager stores agents and diffusion grids and provides
/// methods to add, remove, and access them. Agents are uniquely identified
/// by their AgentUid, and AgentHandle. An AgentHandle might change during the
/// simulation.
class ResourceManager {
public:
explicit ResourceManager(TRootIOCtor* r) {}
ResourceManager();
virtual ~ResourceManager();
ResourceManager& operator=(ResourceManager&& other) noexcept {
if (agents_.size() != other.agents_.size()) {
Log::Fatal(
"Restored ResourceManager has different number of NUMA nodes.");
}
for (auto& el : diffusion_grids_) {
delete el.second;
}
for (auto& numa_agents : agents_) {
for (auto* agent : numa_agents) {
delete agent;
}
}
agents_ = std::move(other.agents_);
agents_lb_.resize(agents_.size());
diffusion_grids_ = std::move(other.diffusion_grids_);
RebuildAgentUidMap();
// restore type_index_
if (type_index_) {
for (auto& numa_agents : agents_) {
for (auto* agent : numa_agents) {
type_index_->Add(agent);
}
}
}
return *this;
}
void RebuildAgentUidMap() {
// rebuild uid_ah_map_
uid_ah_map_.clear();
auto* agent_uid_generator = Simulation::GetActive()->GetAgentUidGenerator();
uid_ah_map_.resize(agent_uid_generator->GetHighestIndex() + 1);
for (unsigned n = 0; n < agents_.size(); ++n) {
for (unsigned i = 0; i < agents_[n].size(); ++i) {
auto* agent = agents_[n][i];
this->uid_ah_map_.Insert(agent->GetUid(), AgentHandle(n, i));
}
}
}
Agent* GetAgent(const AgentUid& uid) {
if (!uid_ah_map_.Contains(uid)) {
return nullptr;
}
auto& ah = uid_ah_map_[uid];
return agents_[ah.GetNumaNode()][ah.GetElementIdx()];
}
Agent* GetAgent(AgentHandle ah) {
return agents_[ah.GetNumaNode()][ah.GetElementIdx()];
}
AgentHandle GetAgentHandle(const AgentUid& uid) { return uid_ah_map_[uid]; }
void SwapAgents(std::vector<std::vector<Agent*>>* agents);
void AddDiffusionGrid(DiffusionGrid* dgrid) {
uint64_t substance_id = dgrid->GetSubstanceId();
auto search = diffusion_grids_.find(substance_id);
if (search != diffusion_grids_.end()) {
Log::Fatal("ResourceManager::AddDiffusionGrid",
"You tried to add a diffusion grid with an already existing "
"substance id. Please choose a different substance id.");
} else {
diffusion_grids_[substance_id] = dgrid;
}
MarkEnvironmentOutOfSync();
}
void RemoveDiffusionGrid(size_t substance_id) {
auto search = diffusion_grids_.find(substance_id);
if (search != diffusion_grids_.end()) {
delete search->second;
diffusion_grids_.erase(search);
} else {
Log::Error("ResourceManager::RemoveDiffusionGrid",
"You tried to remove a diffusion grid that does not exist.");
}
}
/// Return the diffusion grid which holds the substance of specified id
DiffusionGrid* GetDiffusionGrid(size_t substance_id) const {
if (substance_id >= diffusion_grids_.size()) {
Log::Error("ResourceManager::GetDiffusionGrid",
"You tried to request diffusion grid '", substance_id,
"', but it does not exist! Make sure that it's the correct id "
"correctly and that the diffusion grid is registered.");
return nullptr;
}
return diffusion_grids_.at(substance_id);
}
/// Return the diffusion grid which holds the substance of specified name
/// Caution: using this function in a tight loop will result in a slow
/// simulation. Use `GetDiffusionGrid(size_t)` in those cases.
DiffusionGrid* GetDiffusionGrid(const std::string& substance_name) const {
for (auto& el : diffusion_grids_) {
auto& dgrid = el.second;
if (dgrid->GetSubstanceName() == substance_name) {
return dgrid;
}
}
Log::Error("ResourceManager::GetDiffusionGrid",
"You tried to request a diffusion grid named '", substance_name,
"', but it does not exist! Make sure that it's spelled "
"correctly and that the diffusion grid is registered.");
return nullptr;
}
/// Execute the given functor for all diffusion grids
/// rm->ForEachDiffusionGrid([](DiffusionGrid* dgrid) {
/// ...
/// });
template <typename TFunctor>
void ForEachDiffusionGrid(TFunctor&& f) const {
for (auto& el : diffusion_grids_) {
f(el.second);
}
}
/// Returns the total number of agents if numa_node == -1
/// Otherwise the number of agents in the specific numa node
size_t GetNumAgents(int numa_node = -1) const {
if (numa_node == -1) {
size_t num_agents = 0;
for (auto& numa_agents : agents_) {
num_agents += numa_agents.size();
}
return num_agents;
} else {
return agents_[numa_node].size();
}
}
size_t GetAgentVectorCapacity(int numa_node);
/// Call a function for all or a subset of agents in the simulation.
/// @param function that will be called for each agent
/// @param filter if specified, `function` will only be called for agents
/// for which `filter(agent)` evaluates to true.
///
/// rm->ForEachAgent([](Agent* a) {
/// std::cout << a->GetUid() << std::endl;
/// });
virtual void ForEachAgent(const std::function<void(Agent*)>& function,
Functor<bool, Agent*>* filter = nullptr) {
for (auto& numa_agents : agents_) {
for (auto* agent : numa_agents) {
if (!filter || (filter && (*filter)(agent))) {
function(agent);
}
}
}
}
virtual void ForEachAgent(
const std::function<void(Agent*, AgentHandle)>& function,
Functor<bool, Agent*>* filter = nullptr) {
for (uint64_t n = 0; n < agents_.size(); ++n) {
auto& numa_agents = agents_[n];
for (uint64_t i = 0; i < numa_agents.size(); ++i) {
auto* a = numa_agents[i];
if (!filter || (filter && (*filter)(a))) {
function(a, AgentHandle(n, i));
}
}
}
}
/// Call a function for all or a subset of agents in the simulation.
/// @param function that will be called for each agent
/// @param filter if specified, `function` will only be called for agents
/// for which `filter(agent)` evaluates to true.
/// Function invocations are parallelized.\n
/// Uses static scheduling.
/// \see ForEachAgent
virtual void ForEachAgentParallel(Functor<void, Agent*>& function,
Functor<bool, Agent*>* filter = nullptr);
/// Call an operation for all or a subset of agents in the simulation.
/// Function invocations are parallelized.\n
/// Uses static scheduling.
/// \see ForEachAgent
virtual void ForEachAgentParallel(Operation& op,
Functor<bool, Agent*>* filter = nullptr);
virtual void ForEachAgentParallel(
Functor<void, Agent*, AgentHandle>& function,
Functor<bool, Agent*>* filter = nullptr);
/// Call a function for all or a subset of agents in the simulation.
/// Function invocations are parallelized.\n
/// Uses dynamic scheduling and work stealing. Batch size controlled by
/// `chunk`.
/// \param chunk number of agents that are assigned to a thread (batch
/// size)
/// \see ForEachAgent
virtual void ForEachAgentParallel(
uint64_t chunk, Functor<void, Agent*, AgentHandle>& function,
Functor<bool, Agent*>* filter = nullptr);
/// Reserves enough memory to hold `capacity` number of agents for
/// each numa domain.
void Reserve(size_t capacity) {
for (auto& numa_agents : agents_) {
numa_agents.reserve(capacity);
}
if (type_index_) {
type_index_->Reserve(capacity);
}
}
/// Resize `agents_[numa_node]` such that it holds `current + additional`
/// elements after this call.
/// Returns the size after
uint64_t GrowAgentContainer(size_t additional, size_t numa_node) {
if (additional == 0) {
return agents_[numa_node].size();
}
auto current = agents_[numa_node].size();
if (current + additional < agents_[numa_node].size()) {
agents_[numa_node].reserve((current + additional) * 1.5);
}
agents_[numa_node].resize(current + additional);
return current;
}
/// Returns true if an agent with the given uid is stored in this
/// ResourceManager.
bool ContainsAgent(const AgentUid& uid) const {
return uid_ah_map_.Contains(uid);
}
/// Remove all agents
/// NB: This method is not thread-safe! This function invalidates
/// agent references pointing into the ResourceManager. AgentPointer are
/// not affected.
void ClearAgents() {
uid_ah_map_.clear();
for (auto& numa_agents : agents_) {
for (auto* agent : numa_agents) {
delete agent;
}
numa_agents.clear();
}
if (type_index_) {
type_index_->Clear();
}
}
/// Reorder agents such that, agents are distributed to NUMA
/// nodes. Nearby agents will be moved to the same NUMA node.
virtual void LoadBalance();
void DebugNuma() const;
/// NB: This method is not thread-safe! This function might invalidate
/// agent references pointing into the ResourceManager. AgentPointer are
/// not affected.
void AddAgent(Agent* agent, // NOLINT
typename AgentHandle::NumaNode_t numa_node = 0) {
auto uid = agent->GetUid();
if (uid.GetIndex() >= uid_ah_map_.size()) {
uid_ah_map_.resize(uid.GetIndex() + 1);
}
agents_[numa_node].push_back(agent);
uid_ah_map_.Insert(uid,
AgentHandle(numa_node, agents_[numa_node].size() - 1));
if (type_index_) {
type_index_->Add(agent);
}
MarkEnvironmentOutOfSync();
}
void ResizeAgentUidMap() {
auto* agent_uid_generator = Simulation::GetActive()->GetAgentUidGenerator();
auto highest_idx = agent_uid_generator->GetHighestIndex();
auto new_size = highest_idx * 1.5 + 1;
if (highest_idx >= uid_ah_map_.size()) {
uid_ah_map_.resize(new_size);
}
if (type_index_) {
type_index_->Reserve(new_size);
}
}
virtual void EndOfIteration() {
// Check if SoUiD defragmentation should be turned on or off
double utilization = static_cast<double>(GetNumAgents()) /
static_cast<double>(uid_ah_map_.size());
auto* sim = Simulation::GetActive();
auto* param = sim->GetParam();
if (utilization < param->agent_uid_defragmentation_low_watermark) {
sim->GetAgentUidGenerator()->EnableDefragmentation(&uid_ah_map_);
} else if (utilization > param->agent_uid_defragmentation_high_watermark) {
sim->GetAgentUidGenerator()->DisableDefragmentation();
}
}
/// Adds `new_agents` to `agents_[numa_node]`. `offset` specifies
/// the index at which the first element is inserted. Agents are inserted
/// consecutively. This methos is thread safe only if insertion intervals do
/// not overlap!
virtual void AddAgents(typename AgentHandle::NumaNode_t numa_node,
uint64_t offset,
const std::vector<Agent*>& new_agents) {
uint64_t i = 0;
for (auto* agent : new_agents) {
auto uid = agent->GetUid();
uid_ah_map_.Insert(uid, AgentHandle(numa_node, offset + i));
agents_[numa_node][offset + i] = agent;
i++;
}
if (type_index_) {
#pragma omp critical
for (auto* agent : new_agents) {
type_index_->Add(agent);
}
}
#pragma omp single
if (new_agents.size() != 0) {
MarkEnvironmentOutOfSync();
}
}
/// Removes the agent with the given uid.\n
/// NB: This method is not thread-safe! This function invalidates
/// agent references pointing into the ResourceManager. AgentPointer are
/// not affected.
void RemoveAgent(const AgentUid& uid) {
// remove from map
if (uid_ah_map_.Contains(uid)) {
auto ah = uid_ah_map_[uid];
uid_ah_map_.Remove(uid);
// remove from vector
auto& numa_agents = agents_[ah.GetNumaNode()];
Agent* agent = nullptr;
if (ah.GetElementIdx() == numa_agents.size() - 1) {
agent = numa_agents.back();
numa_agents.pop_back();
} else {
// swap
agent = numa_agents[ah.GetElementIdx()];
auto* reordered = numa_agents.back();
numa_agents[ah.GetElementIdx()] = reordered;
numa_agents.pop_back();
uid_ah_map_.Insert(reordered->GetUid(), ah);
}
if (type_index_) {
type_index_->Remove(agent);
}
delete agent;
MarkEnvironmentOutOfSync();
}
}
// \param uids: one vector for each thread containing one vector for each numa
// node
void RemoveAgents(const std::vector<std::vector<AgentUid>*>& uids);
const TypeIndex* GetTypeIndex() const { return type_index_; }
protected:
/// Adding and removing agents does not immediately reflect in the state of
/// the environment. This function sets a flag in the envrionment such that
/// it is aware of the changes.
void MarkEnvironmentOutOfSync();
/// Maps an AgentUid to its storage location in `agents_` \n
AgentUidMap<AgentHandle> uid_ah_map_ = AgentUidMap<AgentHandle>(100u); //!
/// Pointer container for all agents
std::vector<std::vector<Agent*>> agents_;
/// Container used during load balancing
std::vector<std::vector<Agent*>> agents_lb_; //!
/// Maps a diffusion grid ID to the pointer to the diffusion grid
std::unordered_map<uint64_t, DiffusionGrid*> diffusion_grids_;
ThreadInfo* thread_info_ = ThreadInfo::GetInstance(); //!
TypeIndex* type_index_ = nullptr;
struct ParallelRemovalAuxData {
std::vector<std::vector<uint64_t>> to_right;
std::vector<std::vector<uint64_t>> not_to_left;
};
/// auxiliary data required for parallel agent removal
ParallelRemovalAuxData parallel_remove_; //!
friend class SimulationBackup;
friend std::ostream& operator<<(std::ostream& os, const ResourceManager& rm);
BDM_CLASS_DEF_NV(ResourceManager, 2);
};
inline std::ostream& operator<<(std::ostream& os, const ResourceManager& rm) {
os << "\033[1mAgents per numa node\033[0m" << std::endl;
uint64_t cnt = 0;
for (auto& numa_agents : rm.agents_) {
os << "numa node " << cnt++ << " -> size: " << numa_agents.size()
<< std::endl;
}
return os;
}
} // namespace bdm
#endif // CORE_RESOURCE_MANAGER_H_
|
image.c | /*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% IIIII M M AAA GGGG EEEEE %
% I MM MM A A G E %
% I M M M AAAAA G GG EEE %
% I M M A A G G E %
% IIIII M M A A GGGG EEEEE %
% %
% %
% MagickCore Image Methods %
% %
% Software Design %
% Cristy %
% July 1992 %
% %
% %
% Copyright 1999-2018 ImageMagick Studio LLC, a non-profit organization %
% dedicated to making software imaging solutions freely available. %
% %
% You may not use this file except in compliance with the License. You may %
% obtain a copy of the License at %
% %
% https://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/animate.h"
#include "magick/artifact.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/channel.h"
#include "magick/client.h"
#include "magick/color.h"
#include "magick/color-private.h"
#include "magick/colormap.h"
#include "magick/colorspace.h"
#include "magick/colorspace-private.h"
#include "magick/composite.h"
#include "magick/composite-private.h"
#include "magick/compress.h"
#include "magick/constitute.h"
#include "magick/delegate.h"
#include "magick/deprecate.h"
#include "magick/display.h"
#include "magick/draw.h"
#include "magick/enhance.h"
#include "magick/exception.h"
#include "magick/exception-private.h"
#include "magick/gem.h"
#include "magick/geometry.h"
#include "magick/histogram.h"
#include "magick/image-private.h"
#include "magick/list.h"
#include "magick/magic.h"
#include "magick/magick.h"
#include "magick/memory_.h"
#include "magick/memory-private.h"
#include "magick/module.h"
#include "magick/monitor.h"
#include "magick/monitor-private.h"
#include "magick/option.h"
#include "magick/paint.h"
#include "magick/pixel-accessor.h"
#include "magick/pixel-private.h"
#include "magick/profile.h"
#include "magick/property.h"
#include "magick/quantize.h"
#include "magick/random_.h"
#include "magick/resource_.h"
#include "magick/segment.h"
#include "magick/semaphore.h"
#include "magick/signature-private.h"
#include "magick/statistic.h"
#include "magick/string_.h"
#include "magick/string-private.h"
#include "magick/thread-private.h"
#include "magick/threshold.h"
#include "magick/timer.h"
#include "magick/token.h"
#include "magick/token-private.h"
#include "magick/utility.h"
#include "magick/version.h"
#include "magick/xwindow-private.h"
/*
Constant declaration.
*/
const char
BackgroundColor[] = "#ffffff", /* white */
BorderColor[] = "#dfdfdf", /* gray */
DefaultTileFrame[] = "15x15+3+3",
DefaultTileGeometry[] = "120x120+4+3>",
DefaultTileLabel[] = "%f\n%G\n%b",
ForegroundColor[] = "#000", /* black */
LoadImageTag[] = "Load/Image",
LoadImagesTag[] = "Load/Images",
MatteColor[] = "#bdbdbd", /* gray */
PSDensityGeometry[] = "72.0x72.0",
PSPageGeometry[] = "612x792",
SaveImageTag[] = "Save/Image",
SaveImagesTag[] = "Save/Images",
TransparentColor[] = "#00000000"; /* transparent black */
const double
DefaultResolution = 72.0;
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireImage() returns a pointer to an image structure initialized to
% default values.
%
% The format of the AcquireImage method is:
%
% Image *AcquireImage(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 *AcquireImage(const ImageInfo *image_info)
{
const char
*option;
Image
*image;
MagickStatusType
flags;
/*
Allocate image structure.
*/
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
image=(Image *) AcquireCriticalMemory(sizeof(*image));
(void) memset(image,0,sizeof(*image));
/*
Initialize Image structure.
*/
(void) CopyMagickString(image->magick,"MIFF",MaxTextExtent);
image->storage_class=DirectClass;
image->depth=MAGICKCORE_QUANTUM_DEPTH;
image->colorspace=sRGBColorspace;
image->rendering_intent=PerceptualIntent;
image->gamma=1.000f/2.200f;
image->chromaticity.red_primary.x=0.6400f;
image->chromaticity.red_primary.y=0.3300f;
image->chromaticity.red_primary.z=0.0300f;
image->chromaticity.green_primary.x=0.3000f;
image->chromaticity.green_primary.y=0.6000f;
image->chromaticity.green_primary.z=0.1000f;
image->chromaticity.blue_primary.x=0.1500f;
image->chromaticity.blue_primary.y=0.0600f;
image->chromaticity.blue_primary.z=0.7900f;
image->chromaticity.white_point.x=0.3127f;
image->chromaticity.white_point.y=0.3290f;
image->chromaticity.white_point.z=0.3583f;
image->interlace=NoInterlace;
image->ticks_per_second=UndefinedTicksPerSecond;
image->compose=OverCompositeOp;
image->blur=1.0;
InitializeExceptionInfo(&image->exception);
(void) QueryColorDatabase(BackgroundColor,&image->background_color,
&image->exception);
(void) QueryColorDatabase(BorderColor,&image->border_color,&image->exception);
(void) QueryColorDatabase(MatteColor,&image->matte_color,&image->exception);
(void) QueryColorDatabase(TransparentColor,&image->transparent_color,
&image->exception);
GetTimerInfo(&image->timer);
image->ping=MagickFalse;
image->cache=AcquirePixelCache(0);
image->blob=CloneBlobInfo((BlobInfo *) NULL);
image->timestamp=time((time_t *) NULL);
image->debug=IsEventLogging();
image->reference_count=1;
image->semaphore=AllocateSemaphoreInfo();
image->signature=MagickCoreSignature;
if (image_info == (ImageInfo *) NULL)
return(image);
/*
Transfer image info.
*/
SetBlobExempt(image,image_info->file != (FILE *) NULL ? MagickTrue :
MagickFalse);
(void) CopyMagickString(image->filename,image_info->filename,MaxTextExtent);
(void) CopyMagickString(image->magick_filename,image_info->filename,
MaxTextExtent);
(void) CopyMagickString(image->magick,image_info->magick,MaxTextExtent);
if (image_info->size != (char *) NULL)
{
(void) ParseAbsoluteGeometry(image_info->size,&image->extract_info);
image->columns=image->extract_info.width;
image->rows=image->extract_info.height;
image->offset=image->extract_info.x;
image->extract_info.x=0;
image->extract_info.y=0;
}
if (image_info->extract != (char *) NULL)
{
RectangleInfo
geometry;
(void) memset(&geometry,0,sizeof(geometry));
flags=ParseAbsoluteGeometry(image_info->extract,&geometry);
if (((flags & XValue) != 0) || ((flags & YValue) != 0))
{
image->extract_info=geometry;
Swap(image->columns,image->extract_info.width);
Swap(image->rows,image->extract_info.height);
}
}
image->compression=image_info->compression;
image->quality=image_info->quality;
image->endian=image_info->endian;
image->interlace=image_info->interlace;
image->units=image_info->units;
if (image_info->density != (char *) NULL)
{
GeometryInfo
geometry_info;
flags=ParseGeometry(image_info->density,&geometry_info);
image->x_resolution=geometry_info.rho;
image->y_resolution=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->y_resolution=image->x_resolution;
}
if (image_info->page != (char *) NULL)
{
char
*geometry;
image->page=image->extract_info;
geometry=GetPageGeometry(image_info->page);
(void) ParseAbsoluteGeometry(geometry,&image->page);
geometry=DestroyString(geometry);
}
if (image_info->depth != 0)
image->depth=image_info->depth;
image->dither=image_info->dither;
image->background_color=image_info->background_color;
image->border_color=image_info->border_color;
image->matte_color=image_info->matte_color;
image->transparent_color=image_info->transparent_color;
image->ping=image_info->ping;
image->progress_monitor=image_info->progress_monitor;
image->client_data=image_info->client_data;
if (image_info->cache != (void *) NULL)
ClonePixelCacheMethods(image->cache,image_info->cache);
(void) SyncImageSettings(image_info,image);
option=GetImageOption(image_info,"delay");
if (option != (const char *) NULL)
{
GeometryInfo
geometry_info;
flags=ParseGeometry(option,&geometry_info);
if ((flags & GreaterValue) != 0)
{
if (image->delay > (size_t) floor(geometry_info.rho+0.5))
image->delay=(size_t) floor(geometry_info.rho+0.5);
}
else
if ((flags & LessValue) != 0)
{
if (image->delay < (size_t) floor(geometry_info.rho+0.5))
image->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
}
else
image->delay=(size_t) floor(geometry_info.rho+0.5);
if ((flags & SigmaValue) != 0)
image->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
}
option=GetImageOption(image_info,"dispose");
if (option != (const char *) NULL)
image->dispose=(DisposeType) ParseCommandOption(MagickDisposeOptions,
MagickFalse,option);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireImageInfo() allocates the ImageInfo structure.
%
% The format of the AcquireImageInfo method is:
%
% ImageInfo *AcquireImageInfo(void)
%
*/
MagickExport ImageInfo *AcquireImageInfo(void)
{
ImageInfo
*image_info;
image_info=(ImageInfo *) AcquireMagickMemory(sizeof(*image_info));
if (image_info == (ImageInfo *) NULL)
ThrowFatalException(ResourceLimitFatalError,"MemoryAllocationFailed");
GetImageInfo(image_info);
return(image_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A c q u i r e N e x t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AcquireNextImage() 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.
%
% The format of the AcquireNextImage method is:
%
% void AcquireNextImage(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 AcquireNextImage(const ImageInfo *image_info,Image *image)
{
/*
Allocate image structure.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
image->next=AcquireImage(image_info);
if (GetNextImageInList(image) == (Image *) NULL)
return;
(void) CopyMagickString(GetNextImageInList(image)->filename,image->filename,
MaxTextExtent);
if (image_info != (ImageInfo *) NULL)
(void) CopyMagickString(GetNextImageInList(image)->filename,
image_info->filename,MaxTextExtent);
DestroyBlob(GetNextImageInList(image));
image->next->blob=ReferenceBlob(image->blob);
image->next->endian=image->endian;
image->next->scene=image->scene+1;
image->next->previous=image;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% A p p e n d I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% AppendImages() takes all images from the current image pointer to the end
% of the image list and appends them to each other top-to-bottom if the
% stack parameter is true, otherwise left-to-right.
%
% The current gravity setting now effects how the image is justified in the
% final image.
%
% The format of the AppendImages method is:
%
% Image *AppendImages(const Image *images,const MagickBooleanType stack,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o stack: A value other than 0 stacks the images top-to-bottom.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *AppendImages(const Image *images,
const MagickBooleanType stack,ExceptionInfo *exception)
{
#define AppendImageTag "Append/Image"
CacheView
*append_view;
Image
*append_image;
MagickBooleanType
homogeneous_colorspace,
matte,
status;
MagickOffsetType
n;
RectangleInfo
geometry;
register const Image
*next;
size_t
depth,
height,
number_images,
width;
ssize_t
x_offset,
y,
y_offset;
/*
Compute maximum area of appended area.
*/
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
matte=images->matte;
number_images=1;
width=images->columns;
height=images->rows;
depth=images->depth;
homogeneous_colorspace=MagickTrue;
next=GetNextImageInList(images);
for ( ; next != (Image *) NULL; next=GetNextImageInList(next))
{
if (next->depth > depth)
depth=next->depth;
if (next->colorspace != images->colorspace)
homogeneous_colorspace=MagickFalse;
if (next->matte != MagickFalse)
matte=MagickTrue;
number_images++;
if (stack != MagickFalse)
{
if (next->columns > width)
width=next->columns;
height+=next->rows;
continue;
}
width+=next->columns;
if (next->rows > height)
height=next->rows;
}
/*
Append images.
*/
append_image=CloneImage(images,width,height,MagickTrue,exception);
if (append_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(append_image,DirectClass) == MagickFalse)
{
InheritException(exception,&append_image->exception);
append_image=DestroyImage(append_image);
return((Image *) NULL);
}
if (homogeneous_colorspace == MagickFalse)
(void) SetImageColorspace(append_image,sRGBColorspace);
append_image->depth=depth;
append_image->matte=matte;
append_image->page=images->page;
(void) SetImageBackgroundColor(append_image);
status=MagickTrue;
x_offset=0;
y_offset=0;
next=images;
append_view=AcquireAuthenticCacheView(append_image,exception);
for (n=0; n < (MagickOffsetType) number_images; n++)
{
CacheView
*image_view;
MagickBooleanType
proceed;
SetGeometry(append_image,&geometry);
GravityAdjustGeometry(next->columns,next->rows,next->gravity,&geometry);
if (stack != MagickFalse)
x_offset-=geometry.x;
else
y_offset-=geometry.y;
image_view=AcquireVirtualCacheView(next,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(status) \
magick_number_threads(next,next,next->rows,1)
#endif
for (y=0; y < (ssize_t) next->rows; y++)
{
MagickBooleanType
sync;
register const IndexPacket
*magick_restrict indexes;
register const PixelPacket
*magick_restrict p;
register IndexPacket
*magick_restrict append_indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(image_view,0,y,next->columns,1,exception);
q=QueueCacheViewAuthenticPixels(append_view,x_offset,y+y_offset,
next->columns,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
indexes=GetCacheViewVirtualIndexQueue(image_view);
append_indexes=GetCacheViewAuthenticIndexQueue(append_view);
for (x=0; x < (ssize_t) next->columns; x++)
{
SetPixelRed(q,GetPixelRed(p));
SetPixelGreen(q,GetPixelGreen(p));
SetPixelBlue(q,GetPixelBlue(p));
SetPixelOpacity(q,OpaqueOpacity);
if (next->matte != MagickFalse)
SetPixelOpacity(q,GetPixelOpacity(p));
if ((next->colorspace == CMYKColorspace) &&
(append_image->colorspace == CMYKColorspace))
SetPixelIndex(append_indexes+x,GetPixelIndex(indexes+x));
p++;
q++;
}
sync=SyncCacheViewAuthenticPixels(append_view,exception);
if (sync == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (stack == MagickFalse)
{
x_offset+=(ssize_t) next->columns;
y_offset=0;
}
else
{
x_offset=0;
y_offset+=(ssize_t) next->rows;
}
proceed=SetImageProgress(append_image,AppendImageTag,n,number_images);
if (proceed == MagickFalse)
break;
next=GetNextImageInList(next);
}
append_view=DestroyCacheView(append_view);
if (status == MagickFalse)
append_image=DestroyImage(append_image);
return(append_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C a t c h I m a g e E x c e p t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CatchImageException() returns if no exceptions are found in the image
% sequence, otherwise it determines the most severe exception and reports
% it as a warning or error depending on the severity.
%
% The format of the CatchImageException method is:
%
% ExceptionType CatchImageException(Image *image)
%
% A description of each parameter follows:
%
% o image: An image sequence.
%
*/
MagickExport ExceptionType CatchImageException(Image *image)
{
ExceptionInfo
*exception;
ExceptionType
severity;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
exception=AcquireExceptionInfo();
GetImageException(image,exception);
CatchException(exception);
severity=exception->severity;
exception=DestroyExceptionInfo(exception);
return(severity);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l i p I m a g e P a t h %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ClipImagePath() sets the image clip mask based any clipping path information
% if it exists.
%
% The format of the ClipImagePath method is:
%
% MagickBooleanType ClipImagePath(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 ClipImage(Image *image)
{
return(ClipImagePath(image,"#1",MagickTrue));
}
MagickExport MagickBooleanType ClipImagePath(Image *image,const char *pathname,
const MagickBooleanType inside)
{
#define ClipImagePathTag "ClipPath/Image"
char
*property;
const char
*value;
Image
*clip_mask;
ImageInfo
*image_info;
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(pathname != NULL);
property=AcquireString(pathname);
(void) FormatLocaleString(property,MaxTextExtent,"8BIM:1999,2998:%s",
pathname);
value=GetImageProperty(image,property);
property=DestroyString(property);
if (value == (const char *) NULL)
{
ThrowFileException(&image->exception,OptionError,"NoClipPathDefined",
image->filename);
return(MagickFalse);
}
image_info=AcquireImageInfo();
(void) CopyMagickString(image_info->filename,image->filename,MaxTextExtent);
(void) ConcatenateMagickString(image_info->filename,pathname,MaxTextExtent);
clip_mask=BlobToImage(image_info,value,strlen(value),&image->exception);
image_info=DestroyImageInfo(image_info);
if (clip_mask == (Image *) NULL)
return(MagickFalse);
if (clip_mask->storage_class == PseudoClass)
{
(void) SyncImage(clip_mask);
if (SetImageStorageClass(clip_mask,DirectClass) == MagickFalse)
return(MagickFalse);
}
if (inside == MagickFalse)
(void) NegateImage(clip_mask,MagickFalse);
(void) FormatLocaleString(clip_mask->magick_filename,MaxTextExtent,
"8BIM:1999,2998:%s\nPS",pathname);
(void) SetImageClipMask(image,clip_mask);
clip_mask=DestroyImage(clip_mask);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneImage() copies an image and returns the copy as a new image object.
%
% If the specified columns and rows is 0, an exact copy of the image is
% returned, otherwise the pixel data is undefined and must be initialized
% with the QueueAuthenticPixels() and SyncAuthenticPixels() methods. On
% failure, a NULL image is returned and exception describes the reason for the
% failure.
%
% The format of the CloneImage method is:
%
% Image *CloneImage(const Image *image,const size_t columns,
% const size_t rows,const MagickBooleanType orphan,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: the number of columns in the cloned image.
%
% o rows: the number of rows in the cloned image.
%
% o detach: With a value other than 0, the cloned image is detached from
% its parent I/O stream.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport Image *CloneImage(const Image *image,const size_t columns,
const size_t rows,const MagickBooleanType detach,ExceptionInfo *exception)
{
double
scale;
Image
*clone_image;
size_t
length;
/*
Clone the image.
*/
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
if ((image->columns == 0) || (image->rows == 0))
{
(void) ThrowMagickException(exception,GetMagickModule(),CorruptImageError,
"NegativeOrZeroImageSize","`%s'",image->filename);
return((Image *) NULL);
}
clone_image=(Image *) AcquireCriticalMemory(sizeof(*clone_image));
(void) memset(clone_image,0,sizeof(*clone_image));
clone_image->signature=MagickCoreSignature;
clone_image->storage_class=image->storage_class;
clone_image->channels=image->channels;
clone_image->colorspace=image->colorspace;
clone_image->matte=image->matte;
clone_image->columns=image->columns;
clone_image->rows=image->rows;
clone_image->dither=image->dither;
(void) CloneImageProfiles(clone_image,image);
(void) CloneImageProperties(clone_image,image);
(void) CloneImageArtifacts(clone_image,image);
GetTimerInfo(&clone_image->timer);
InitializeExceptionInfo(&clone_image->exception);
InheritException(&clone_image->exception,&image->exception);
if (image->ascii85 != (void *) NULL)
Ascii85Initialize(clone_image);
clone_image->magick_columns=image->magick_columns;
clone_image->magick_rows=image->magick_rows;
clone_image->type=image->type;
(void) CopyMagickString(clone_image->magick_filename,image->magick_filename,
MaxTextExtent);
(void) CopyMagickString(clone_image->magick,image->magick,MaxTextExtent);
(void) CopyMagickString(clone_image->filename,image->filename,MaxTextExtent);
clone_image->progress_monitor=image->progress_monitor;
clone_image->client_data=image->client_data;
clone_image->reference_count=1;
clone_image->next=image->next;
clone_image->previous=image->previous;
clone_image->list=NewImageList();
clone_image->clip_mask=NewImageList();
clone_image->mask=NewImageList();
if (detach == MagickFalse)
clone_image->blob=ReferenceBlob(image->blob);
else
{
clone_image->next=NewImageList();
clone_image->previous=NewImageList();
clone_image->blob=CloneBlobInfo((BlobInfo *) NULL);
}
clone_image->ping=image->ping;
clone_image->debug=IsEventLogging();
clone_image->semaphore=AllocateSemaphoreInfo();
if (image->colormap != (PixelPacket *) NULL)
{
/*
Allocate and copy the image colormap.
*/
clone_image->colors=image->colors;
length=(size_t) image->colors;
clone_image->colormap=(PixelPacket *) AcquireQuantumMemory(length+1,
sizeof(*clone_image->colormap));
if (clone_image->colormap == (PixelPacket *) NULL)
{
clone_image=DestroyImage(clone_image);
ThrowImageException(ResourceLimitError,"MemoryAllocationFailed");
}
(void) memcpy(clone_image->colormap,image->colormap,length*
sizeof(*clone_image->colormap));
}
if ((columns == 0) || (rows == 0))
{
if (image->montage != (char *) NULL)
(void) CloneString(&clone_image->montage,image->montage);
if (image->directory != (char *) NULL)
(void) CloneString(&clone_image->directory,image->directory);
if (image->clip_mask != (Image *) NULL)
clone_image->clip_mask=CloneImage(image->clip_mask,0,0,MagickTrue,
exception);
if (image->mask != (Image *) NULL)
clone_image->mask=CloneImage(image->mask,0,0,MagickTrue,exception);
clone_image->cache=ReferencePixelCache(image->cache);
return(clone_image);
}
if ((columns == image->columns) && (rows == image->rows))
{
if (image->clip_mask != (Image *) NULL)
clone_image->clip_mask=CloneImage(image->clip_mask,0,0,MagickTrue,
exception);
if (image->mask != (Image *) NULL)
clone_image->mask=CloneImage(image->mask,0,0,MagickTrue,exception);
}
scale=1.0;
if (image->columns != 0)
scale=(double) columns/(double) image->columns;
clone_image->page.width=(size_t) floor(scale*image->page.width+0.5);
clone_image->page.x=(ssize_t) ceil(scale*image->page.x-0.5);
clone_image->tile_offset.x=(ssize_t) ceil(scale*image->tile_offset.x-0.5);
scale=1.0;
if (image->rows != 0)
scale=(double) rows/(double) image->rows;
clone_image->page.height=(size_t) floor(scale*image->page.height+0.5);
clone_image->page.y=(ssize_t) ceil(scale*image->page.y-0.5);
clone_image->tile_offset.y=(ssize_t) ceil(scale*image->tile_offset.y-0.5);
clone_image->cache=ClonePixelCache(image->cache);
if (SetImageExtent(clone_image,columns,rows) == MagickFalse)
{
InheritException(exception,&clone_image->exception);
clone_image=DestroyImage(clone_image);
}
return(clone_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C l o n e I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CloneImageInfo() makes a copy of the given image info structure. If
% NULL is specified, a new image info structure is created initialized to
% default values.
%
% The format of the CloneImageInfo method is:
%
% ImageInfo *CloneImageInfo(const ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport ImageInfo *CloneImageInfo(const ImageInfo *image_info)
{
ImageInfo
*clone_info;
clone_info=AcquireImageInfo();
if (image_info == (ImageInfo *) NULL)
return(clone_info);
clone_info->compression=image_info->compression;
clone_info->temporary=image_info->temporary;
clone_info->adjoin=image_info->adjoin;
clone_info->antialias=image_info->antialias;
clone_info->scene=image_info->scene;
clone_info->number_scenes=image_info->number_scenes;
clone_info->depth=image_info->depth;
if (image_info->size != (char *) NULL)
(void) CloneString(&clone_info->size,image_info->size);
if (image_info->extract != (char *) NULL)
(void) CloneString(&clone_info->extract,image_info->extract);
if (image_info->scenes != (char *) NULL)
(void) CloneString(&clone_info->scenes,image_info->scenes);
if (image_info->page != (char *) NULL)
(void) CloneString(&clone_info->page,image_info->page);
clone_info->interlace=image_info->interlace;
clone_info->endian=image_info->endian;
clone_info->units=image_info->units;
clone_info->quality=image_info->quality;
if (image_info->sampling_factor != (char *) NULL)
(void) CloneString(&clone_info->sampling_factor,
image_info->sampling_factor);
if (image_info->server_name != (char *) NULL)
(void) CloneString(&clone_info->server_name,image_info->server_name);
if (image_info->font != (char *) NULL)
(void) CloneString(&clone_info->font,image_info->font);
if (image_info->texture != (char *) NULL)
(void) CloneString(&clone_info->texture,image_info->texture);
if (image_info->density != (char *) NULL)
(void) CloneString(&clone_info->density,image_info->density);
clone_info->pointsize=image_info->pointsize;
clone_info->fuzz=image_info->fuzz;
clone_info->pen=image_info->pen;
clone_info->background_color=image_info->background_color;
clone_info->border_color=image_info->border_color;
clone_info->matte_color=image_info->matte_color;
clone_info->transparent_color=image_info->transparent_color;
clone_info->dither=image_info->dither;
clone_info->monochrome=image_info->monochrome;
clone_info->colors=image_info->colors;
clone_info->colorspace=image_info->colorspace;
clone_info->type=image_info->type;
clone_info->orientation=image_info->orientation;
clone_info->preview_type=image_info->preview_type;
clone_info->group=image_info->group;
clone_info->ping=image_info->ping;
clone_info->verbose=image_info->verbose;
if (image_info->view != (char *) NULL)
(void) CloneString(&clone_info->view,image_info->view);
if (image_info->authenticate != (char *) NULL)
(void) CloneString(&clone_info->authenticate,image_info->authenticate);
(void) CloneImageOptions(clone_info,image_info);
clone_info->progress_monitor=image_info->progress_monitor;
clone_info->client_data=image_info->client_data;
clone_info->cache=image_info->cache;
if (image_info->cache != (void *) NULL)
clone_info->cache=ReferencePixelCache(image_info->cache);
if (image_info->profile != (void *) NULL)
clone_info->profile=(void *) CloneStringInfo((StringInfo *)
image_info->profile);
SetImageInfoFile(clone_info,image_info->file);
SetImageInfoBlob(clone_info,image_info->blob,image_info->length);
clone_info->stream=image_info->stream;
clone_info->virtual_pixel_method=image_info->virtual_pixel_method;
(void) CopyMagickString(clone_info->magick,image_info->magick,MaxTextExtent);
(void) CopyMagickString(clone_info->unique,image_info->unique,MaxTextExtent);
(void) CopyMagickString(clone_info->zero,image_info->zero,MaxTextExtent);
(void) CopyMagickString(clone_info->filename,image_info->filename,
MaxTextExtent);
clone_info->subimage=image_info->scene; /* deprecated */
clone_info->subrange=image_info->number_scenes; /* deprecated */
clone_info->channel=image_info->channel;
clone_info->debug=IsEventLogging();
clone_info->signature=image_info->signature;
return(clone_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% C o p y I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% CopyImagePixels() copies pixels from the source image as defined by the
% geometry the destination image at the specified offset.
%
% The format of the CopyImagePixels method is:
%
% MagickBooleanType CopyImagePixels(Image *image,const Image *source_image,
% const RectangleInfo *geometry,const OffsetInfo *offset,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the destination image.
%
% o source_image: the source image.
%
% o geometry: define the dimensions of the source pixel rectangle.
%
% o offset: define the offset in the destination image.
%
% o exception: return the highest severity exception.
%
*/
MagickExport MagickBooleanType CopyImagePixels(Image *image,
const Image *source_image,const RectangleInfo *geometry,
const OffsetInfo *offset,ExceptionInfo *exception)
{
#define CopyImageTag "Copy/Image"
CacheView
*image_view,
*source_view;
MagickBooleanType
status;
MagickOffsetType
progress;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(source_image != (Image *) NULL);
assert(geometry != (RectangleInfo *) NULL);
assert(offset != (OffsetInfo *) NULL);
if ((offset->x < 0) || (offset->y < 0) ||
((ssize_t) (offset->x+geometry->width) > (ssize_t) image->columns) ||
((ssize_t) (offset->y+geometry->height) > (ssize_t) image->rows))
ThrowBinaryException(OptionError,"GeometryDoesNotContainImage",
image->filename);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
/*
Copy image pixels.
*/
status=MagickTrue;
progress=0;
source_view=AcquireVirtualCacheView(source_image,exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(progress,status) \
magick_number_threads(source_image,image,geometry->height,1)
#endif
for (y=0; y < (ssize_t) geometry->height; y++)
{
register const IndexPacket
*magick_restrict source_indexes;
register const PixelPacket
*magick_restrict p;
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register ssize_t
x;
if (status == MagickFalse)
continue;
p=GetCacheViewVirtualPixels(source_view,geometry->x,y+geometry->y,
geometry->width,1,exception);
q=GetCacheViewAuthenticPixels(image_view,offset->x,y+offset->y,
geometry->width,1,exception);
if ((p == (const PixelPacket *) NULL) || (q == (PixelPacket *) NULL))
{
status=MagickFalse;
continue;
}
source_indexes=GetCacheViewVirtualIndexQueue(source_view);
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) geometry->width; x++)
{
*q=(*p);
if (image->colorspace == CMYKColorspace)
indexes[x]=source_indexes[x];
p++;
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
if (image->progress_monitor != (MagickProgressMonitor) NULL)
{
MagickBooleanType
proceed;
proceed=SetImageProgress(image,CopyImageTag,progress++,image->rows);
if (proceed == MagickFalse)
status=MagickFalse;
}
}
image_view=DestroyCacheView(image_view);
source_view=DestroyCacheView(source_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImage() dereferences an image, deallocating memory associated with
% the image if the reference count becomes zero.
%
% The format of the DestroyImage method is:
%
% Image *DestroyImage(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport Image *DestroyImage(Image *image)
{
MagickBooleanType
destroy;
/*
Dereference image.
*/
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
destroy=MagickFalse;
LockSemaphoreInfo(image->semaphore);
image->reference_count--;
if (image->reference_count == 0)
destroy=MagickTrue;
UnlockSemaphoreInfo(image->semaphore);
if (destroy == MagickFalse)
return((Image *) NULL);
/*
Destroy image.
*/
DestroyImagePixels(image);
if (image->clip_mask != (Image *) NULL)
image->clip_mask=DestroyImage(image->clip_mask);
if (image->mask != (Image *) NULL)
image->mask=DestroyImage(image->mask);
if (image->montage != (char *) NULL)
image->montage=DestroyString(image->montage);
if (image->directory != (char *) NULL)
image->directory=DestroyString(image->directory);
if (image->colormap != (PixelPacket *) NULL)
image->colormap=(PixelPacket *) RelinquishMagickMemory(image->colormap);
if (image->geometry != (char *) NULL)
image->geometry=DestroyString(image->geometry);
DestroyImageProfiles(image);
DestroyImageProperties(image);
DestroyImageArtifacts(image);
if (image->ascii85 != (Ascii85Info*) NULL)
image->ascii85=(Ascii85Info *) RelinquishMagickMemory(image->ascii85);
DestroyBlob(image);
(void) ClearExceptionInfo(&image->exception,MagickTrue);
if (image->semaphore != (SemaphoreInfo *) NULL)
DestroySemaphoreInfo(&image->semaphore);
image->signature=(~MagickCoreSignature);
image=(Image *) RelinquishMagickMemory(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% D e s t r o y I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DestroyImageInfo() deallocates memory associated with an ImageInfo
% structure.
%
% The format of the DestroyImageInfo method is:
%
% ImageInfo *DestroyImageInfo(ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport ImageInfo *DestroyImageInfo(ImageInfo *image_info)
{
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
if (image_info->size != (char *) NULL)
image_info->size=DestroyString(image_info->size);
if (image_info->extract != (char *) NULL)
image_info->extract=DestroyString(image_info->extract);
if (image_info->scenes != (char *) NULL)
image_info->scenes=DestroyString(image_info->scenes);
if (image_info->page != (char *) NULL)
image_info->page=DestroyString(image_info->page);
if (image_info->sampling_factor != (char *) NULL)
image_info->sampling_factor=DestroyString(
image_info->sampling_factor);
if (image_info->server_name != (char *) NULL)
image_info->server_name=DestroyString(
image_info->server_name);
if (image_info->font != (char *) NULL)
image_info->font=DestroyString(image_info->font);
if (image_info->texture != (char *) NULL)
image_info->texture=DestroyString(image_info->texture);
if (image_info->density != (char *) NULL)
image_info->density=DestroyString(image_info->density);
if (image_info->view != (char *) NULL)
image_info->view=DestroyString(image_info->view);
if (image_info->authenticate != (char *) NULL)
image_info->authenticate=DestroyString(
image_info->authenticate);
DestroyImageOptions(image_info);
if (image_info->cache != (void *) NULL)
image_info->cache=DestroyPixelCache(image_info->cache);
if (image_info->profile != (StringInfo *) NULL)
image_info->profile=(void *) DestroyStringInfo((StringInfo *)
image_info->profile);
image_info->signature=(~MagickCoreSignature);
image_info=(ImageInfo *) RelinquishMagickMemory(image_info);
return(image_info);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ D i s a s s o c i a t e I m a g e S t r e a m %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DisassociateImageStream() disassociates the image stream. It checks if the
% blob of the specified image is referenced by other images. If the reference
% count is higher then 1 a new blob is assigned to the specified image.
%
% The format of the DisassociateImageStream method is:
%
% void DisassociateImageStream(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport void DisassociateImageStream(Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
DisassociateBlob(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C l i p M a s k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageClipMask() returns the clip path associated with the image.
%
% The format of the GetImageClipMask method is:
%
% Image *GetImageClipMask(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport Image *GetImageClipMask(const Image *image,
ExceptionInfo *exception)
{
assert(image != (const Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (image->clip_mask == (Image *) NULL)
return((Image *) NULL);
return(CloneImage(image->clip_mask,0,0,MagickTrue,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e E x c e p t i o n %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageException() traverses an image sequence and returns any
% error more severe than noted by the exception parameter.
%
% The format of the GetImageException method is:
%
% void GetImageException(Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: Specifies a pointer to a list of one or more images.
%
% o exception: return the highest severity exception.
%
*/
MagickExport void GetImageException(Image *image,ExceptionInfo *exception)
{
register Image
*next;
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);
for (next=image; next != (Image *) NULL; next=GetNextImageInList(next))
{
if (next->exception.severity == UndefinedException)
continue;
if (next->exception.severity > exception->severity)
InheritException(exception,&next->exception);
next->exception.severity=UndefinedException;
}
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageInfo() initializes image_info to default values.
%
% The format of the GetImageInfo method is:
%
% void GetImageInfo(ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport void GetImageInfo(ImageInfo *image_info)
{
char
*synchronize;
ExceptionInfo
*exception;
/*
File and image dimension members.
*/
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image_info != (ImageInfo *) NULL);
(void) memset(image_info,0,sizeof(*image_info));
image_info->adjoin=MagickTrue;
image_info->interlace=NoInterlace;
image_info->channel=DefaultChannels;
image_info->quality=UndefinedCompressionQuality;
image_info->antialias=MagickTrue;
image_info->dither=MagickTrue;
synchronize=GetEnvironmentValue("MAGICK_SYNCHRONIZE");
if (synchronize != (const char *) NULL)
{
image_info->synchronize=IsStringTrue(synchronize);
synchronize=DestroyString(synchronize);
}
exception=AcquireExceptionInfo();
(void) QueryColorDatabase(BackgroundColor,&image_info->background_color,
exception);
(void) QueryColorDatabase(BorderColor,&image_info->border_color,exception);
(void) QueryColorDatabase(MatteColor,&image_info->matte_color,exception);
(void) QueryColorDatabase(TransparentColor,&image_info->transparent_color,
exception);
exception=DestroyExceptionInfo(exception);
image_info->debug=IsEventLogging();
image_info->signature=MagickCoreSignature;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e I n f o F i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageInfoFile() returns the image info file member.
%
% The format of the GetImageInfoFile method is:
%
% FILE *GetImageInfoFile(const ImageInfo *image_info)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
*/
MagickExport FILE *GetImageInfoFile(const ImageInfo *image_info)
{
return(image_info->file);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e M a s k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageMask() returns the mask associated with the image.
%
% The format of the GetImageMask method is:
%
% Image *GetImageMask(const Image *image,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport Image *GetImageMask(const Image *image,ExceptionInfo *exception)
{
assert(image != (const Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (image->mask == (Image *) NULL)
return((Image *) NULL);
return(CloneImage(image->mask,0,0,MagickTrue,exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e C h a n n e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageChannels() returns the number of pixel channels associated with the
% specified image.
%
% The format of the GetChannels method is:
%
% size_t GetImageChannels(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport size_t GetImageChannels(Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
return(image->channels);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ G e t I m a g e R e f e r e n c e C o u n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageReferenceCount() returns the image reference count.
%
% The format of the GetReferenceCount method is:
%
% ssize_t GetImageReferenceCount(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport ssize_t GetImageReferenceCount(Image *image)
{
ssize_t
reference_count;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
LockSemaphoreInfo(image->semaphore);
reference_count=image->reference_count;
UnlockSemaphoreInfo(image->semaphore);
return(reference_count);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% G e t I m a g e V i r t u a l P i x e l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% GetImageVirtualPixelMethod() gets the "virtual pixels" method for the
% image. A virtual pixel is any pixel access that is outside the boundaries
% of the image cache.
%
% The format of the GetImageVirtualPixelMethod() method is:
%
% VirtualPixelMethod GetImageVirtualPixelMethod(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport VirtualPixelMethod GetImageVirtualPixelMethod(const Image *image)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
return(GetPixelCacheVirtualMethod(image));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I n t e r p r e t I m a g e F i l e n a m e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% InterpretImageFilename() interprets embedded characters in an image filename.
% The filename length is returned.
%
% The format of the InterpretImageFilename method is:
%
% size_t InterpretImageFilename(const ImageInfo *image_info,Image *image,
% const char *format,int value,char *filename)
%
% A description of each parameter follows.
%
% o image_info: the image info..
%
% o image: the image.
%
% o format: A filename describing the format to use to write the numeric
% argument. Only the first numeric format identifier is replaced.
%
% o value: Numeric value to substitute into format filename.
%
% o filename: return the formatted filename in this character buffer.
%
*/
MagickExport size_t InterpretImageFilename(const ImageInfo *image_info,
Image *image,const char *format,int value,char *filename)
{
char
*q;
int
c;
MagickBooleanType
canonical;
register const char
*p;
ssize_t
field_width,
offset;
canonical=MagickFalse;
offset=0;
(void) CopyMagickString(filename,format,MaxTextExtent);
for (p=strchr(format,'%'); p != (char *) NULL; p=strchr(p+1,'%'))
{
q=(char *) p+1;
if (*q == '%')
{
p=q+1;
continue;
}
field_width=0;
if (*q == '0')
field_width=(ssize_t) strtol(q,&q,10);
switch (*q)
{
case 'd':
case 'o':
case 'x':
{
q++;
c=(*q);
*q='\0';
(void) FormatLocaleString(filename+(p-format-offset),(size_t)
(MaxTextExtent-(p-format-offset)),p,value);
offset+=(4-field_width);
*q=c;
(void) ConcatenateMagickString(filename,q,MaxTextExtent);
canonical=MagickTrue;
if (*(q-1) != '%')
break;
p++;
break;
}
case '[':
{
char
pattern[MaxTextExtent];
const char
*value;
register char
*r;
register ssize_t
i;
ssize_t
depth;
/*
Image option.
*/
if (strchr(p,']') == (char *) NULL)
break;
depth=1;
r=q+1;
for (i=0; (i < (MaxTextExtent-1L)) && (*r != '\0'); i++)
{
if (*r == '[')
depth++;
if (*r == ']')
depth--;
if (depth <= 0)
break;
pattern[i]=(*r++);
}
pattern[i]='\0';
if (LocaleNCompare(pattern,"filename:",9) != 0)
break;
value=(const char *) NULL;
if (image != (Image *) NULL)
value=GetImageProperty(image,pattern);
if ((value == (const char *) NULL) &&
(image != (Image *) NULL))
value=GetImageArtifact(image,pattern);
if ((value == (const char *) NULL) &&
(image_info != (ImageInfo *) NULL))
value=GetImageOption(image_info,pattern);
if (value == (const char *) NULL)
break;
q--;
c=(*q);
*q='\0';
(void) CopyMagickString(filename+(p-format-offset),value,(size_t)
(MaxTextExtent-(p-format-offset)));
offset+=strlen(pattern)-4;
*q=c;
(void) ConcatenateMagickString(filename,r+1,MaxTextExtent);
canonical=MagickTrue;
if (*(q-1) != '%')
break;
p++;
break;
}
default:
break;
}
}
for (q=filename; *q != '\0'; q++)
if ((*q == '%') && (*(q+1) == '%'))
{
(void) CopyMagickString(q,q+1,(size_t) (MaxTextExtent-(q-filename)));
canonical=MagickTrue;
}
if (canonical == MagickFalse)
(void) CopyMagickString(filename,format,MaxTextExtent);
return(strlen(filename));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s H i g h D y n a m i c R a n g e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsHighDynamicRangeImage() returns MagickTrue if any pixel component is
% non-integer or exceeds the bounds of the quantum depth (e.g. for Q16
% 0..65535.
%
% The format of the IsHighDynamicRangeImage method is:
%
% MagickBooleanType IsHighDynamicRangeImage(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 IsHighDynamicRangeImage(const Image *image,
ExceptionInfo *exception)
{
#if !defined(MAGICKCORE_HDRI_SUPPORT)
(void) image;
(void) exception;
return(MagickFalse);
#else
CacheView
*image_view;
MagickBooleanType
status;
MagickPixelPacket
zero;
ssize_t
y;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
status=MagickTrue;
GetMagickPixelPacket(image,&zero);
image_view=AcquireVirtualCacheView(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++)
{
MagickPixelPacket
pixel;
register const IndexPacket
*indexes;
register const PixelPacket
*p;
register ssize_t
x;
if (status == MagickFalse)
continue;
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 ((pixel.red < 0.0) || (pixel.red > QuantumRange) ||
(pixel.red != (QuantumAny) pixel.red))
break;
if ((pixel.green < 0.0) || (pixel.green > QuantumRange) ||
(pixel.green != (QuantumAny) pixel.green))
break;
if ((pixel.blue < 0.0) || (pixel.blue > QuantumRange) ||
(pixel.blue != (QuantumAny) pixel.blue))
break;
if (pixel.matte != MagickFalse)
{
if ((pixel.opacity < 0.0) || (pixel.opacity > QuantumRange) ||
(pixel.opacity != (QuantumAny) pixel.opacity))
break;
}
if (pixel.colorspace == CMYKColorspace)
{
if ((pixel.index < 0.0) || (pixel.index > QuantumRange) ||
(pixel.index != (QuantumAny) pixel.index))
break;
}
p++;
}
if (x < (ssize_t) image->columns)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status != MagickFalse ? MagickFalse : MagickTrue);
#endif
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s I m a g e O b j e c t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsImageObject() returns MagickTrue if the image sequence contains a valid
% set of image objects.
%
% The format of the IsImageObject method is:
%
% MagickBooleanType IsImageObject(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType IsImageObject(const Image *image)
{
register const Image
*p;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
for (p=image; p != (Image *) NULL; p=GetNextImageInList(p))
if (p->signature != MagickCoreSignature)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% I s T a i n t I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% IsTaintImage() returns MagickTrue any pixel in the image has been altered
% since it was first constituted.
%
% The format of the IsTaintImage method is:
%
% MagickBooleanType IsTaintImage(const Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType IsTaintImage(const Image *image)
{
char
magick[MaxTextExtent],
filename[MaxTextExtent];
register const Image
*p;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
(void) CopyMagickString(magick,image->magick,MaxTextExtent);
(void) CopyMagickString(filename,image->filename,MaxTextExtent);
for (p=image; p != (Image *) NULL; p=GetNextImageInList(p))
{
if (p->taint != MagickFalse)
return(MagickTrue);
if (LocaleCompare(p->magick,magick) != 0)
return(MagickTrue);
if (LocaleCompare(p->filename,filename) != 0)
return(MagickTrue);
}
return(MagickFalse);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% M o d i f y I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ModifyImage() ensures that there is only a single reference to the image
% to be modified, updating the provided image pointer to point to a clone of
% the original image if necessary.
%
% The format of the ModifyImage method is:
%
% MagickBooleanType ModifyImage(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 ModifyImage(Image **image,
ExceptionInfo *exception)
{
Image
*clone_image;
assert(image != (Image **) NULL);
assert(*image != (Image *) NULL);
assert((*image)->signature == MagickCoreSignature);
if ((*image)->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",(*image)->filename);
if (GetImageReferenceCount(*image) <= 1)
return(MagickTrue);
clone_image=CloneImage(*image,0,0,MagickTrue,exception);
LockSemaphoreInfo((*image)->semaphore);
(*image)->reference_count--;
UnlockSemaphoreInfo((*image)->semaphore);
*image=clone_image;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% N e w M a g i c k I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% NewMagickImage() creates a blank image canvas of the specified size and
% background color.
%
% The format of the NewMagickImage method is:
%
% Image *NewMagickImage(const ImageInfo *image_info,const size_t width,
% const size_t height,const MagickPixelPacket *background)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o width: the image width.
%
% o height: the image height.
%
% o background: the image color.
%
*/
MagickExport Image *NewMagickImage(const ImageInfo *image_info,
const size_t width,const size_t height,const MagickPixelPacket *background)
{
CacheView
*image_view;
ExceptionInfo
*exception;
Image
*image;
ssize_t
y;
MagickBooleanType
status;
assert(image_info != (const ImageInfo *) NULL);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image_info->signature == MagickCoreSignature);
assert(background != (const MagickPixelPacket *) NULL);
image=AcquireImage(image_info);
image->columns=width;
image->rows=height;
image->colorspace=background->colorspace;
image->matte=background->matte;
image->fuzz=background->fuzz;
image->depth=background->depth;
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++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict 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;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelPacket(image,background,q,indexes+x);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
if (status == MagickFalse)
image=DestroyImage(image);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e f e r e n c e I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ReferenceImage() increments the reference count associated with an image
% returning a pointer to the image.
%
% The format of the ReferenceImage method is:
%
% Image *ReferenceImage(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport Image *ReferenceImage(Image *image)
{
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
LockSemaphoreInfo(image->semaphore);
image->reference_count++;
UnlockSemaphoreInfo(image->semaphore);
return(image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s e t I m a g e P a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetImagePage() resets the image page canvas and position.
%
% The format of the ResetImagePage method is:
%
% MagickBooleanType ResetImagePage(Image *image,const char *page)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o page: the relative page specification.
%
*/
MagickExport MagickBooleanType ResetImagePage(Image *image,const char *page)
{
MagickStatusType
flags;
RectangleInfo
geometry;
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
flags=ParseAbsoluteGeometry(page,&geometry);
if ((flags & WidthValue) != 0)
{
if ((flags & HeightValue) == 0)
geometry.height=geometry.width;
image->page.width=geometry.width;
image->page.height=geometry.height;
}
if ((flags & AspectValue) != 0)
{
if ((flags & XValue) != 0)
image->page.x+=geometry.x;
if ((flags & YValue) != 0)
image->page.y+=geometry.y;
}
else
{
if ((flags & XValue) != 0)
{
image->page.x=geometry.x;
if ((image->page.width == 0) && (geometry.x > 0))
image->page.width=image->columns+geometry.x;
}
if ((flags & YValue) != 0)
{
image->page.y=geometry.y;
if ((image->page.height == 0) && (geometry.y > 0))
image->page.height=image->rows+geometry.y;
}
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% R e s e t I m a g e P i x e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% ResetImagePixels() reset the image pixels, that is, all the pixel components
% are zereod.
%
% The format of the SetImage method is:
%
% MagickBooleanType ResetImagePixels(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 ResetImagePixels(Image *image,
ExceptionInfo *exception)
{
CacheView
*image_view;
const void
*pixels;
MagickBooleanType
status;
MagickSizeType
length;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
pixels=AcquirePixelCachePixels(image,&length,exception);
if (pixels != (void *) NULL)
{
/*
Reset in-core image pixels.
*/
(void) memset((void *) pixels,0,(size_t) length);
return(MagickTrue);
}
/*
Reset image pixels.
*/
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++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict 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;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
(void) memset(q,0,sizeof(PixelPacket));
if ((image->storage_class == PseudoClass) ||
(image->colorspace == CMYKColorspace))
indexes[x]=0;
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e B a c k g r o u n d C o l o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageBackgroundColor() initializes the image pixels to the image
% background color. The background color is defined by the background_color
% member of the image structure.
%
% The format of the SetImage method is:
%
% MagickBooleanType SetImageBackgroundColor(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType SetImageBackgroundColor(Image *image)
{
CacheView
*image_view;
ExceptionInfo
*exception;
IndexPacket
index;
MagickBooleanType
status;
MagickPixelPacket
background;
PixelPacket
pixel;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
if ((IsPixelGray(&image->background_color) == MagickFalse) &&
(IsGrayColorspace(image->colorspace) != MagickFalse))
(void) TransformImageColorspace(image,RGBColorspace);
if ((image->background_color.opacity != OpaqueOpacity) &&
(image->matte == MagickFalse))
(void) SetImageAlphaChannel(image,OpaqueAlphaChannel);
GetMagickPixelPacket(image,&background);
SetMagickPixelPacket(image,&image->background_color,(const IndexPacket *)
NULL,&background);
if (image->colorspace == CMYKColorspace)
ConvertRGBToCMYK(&background);
index=0;
pixel.opacity=OpaqueOpacity;
SetPixelPacket(image,&background,&pixel,&index);
/*
Set image background color.
*/
status=MagickTrue;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
for (y=0; y < (ssize_t) image->rows; y++)
{
register PixelPacket
*magick_restrict 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++)
*q++=pixel;
if (image->colorspace == CMYKColorspace)
{
register IndexPacket
*magick_restrict indexes;
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);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C h a n n e l s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageChannels() sets the number of pixels channels associated with the
% image.
%
% The format of the SetImageChannels method is:
%
% MagickBooleanType SetImageChannels(Image *image,const size_t channels)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o channels: The number of pixel channels.
%
*/
MagickExport MagickBooleanType SetImageChannels(Image *image,
const size_t channels)
{
image->channels=channels;
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C o l o r %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageColor() set the entire image canvas to the specified color.
%
% The format of the SetImageColor method is:
%
% MagickBooleanType SetImageColor(Image *image,
% const MagickPixelPacket *color)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o background: the image color.
%
*/
MagickExport MagickBooleanType SetImageColor(Image *image,
const MagickPixelPacket *color)
{
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);
assert(color != (const MagickPixelPacket *) NULL);
image->colorspace=color->colorspace;
image->matte=color->matte;
image->fuzz=color->fuzz;
image->depth=color->depth;
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++)
{
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict 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;
}
indexes=GetCacheViewAuthenticIndexQueue(image_view);
for (x=0; x < (ssize_t) image->columns; x++)
{
SetPixelPacket(image,color,q,indexes+x);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e S t o r a g e C l a s s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageStorageClass() sets the image class: DirectClass for true color
% images or PseudoClass for colormapped images.
%
% The format of the SetImageStorageClass method is:
%
% MagickBooleanType SetImageStorageClass(Image *image,
% const ClassType storage_class)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o storage_class: The image class.
%
*/
MagickExport MagickBooleanType SetImageStorageClass(Image *image,
const ClassType storage_class)
{
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
image->storage_class=storage_class;
return(SyncImagePixelCache(image,&image->exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e C l i p M a s k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageClipMask() associates a clip path with the image. The clip path
% must be the same dimensions as the image. Set any pixel component of
% the clip path to TransparentOpacity to prevent that corresponding image
% pixel component from being updated when SyncAuthenticPixels() is applied.
%
% The format of the SetImageClipMask method is:
%
% MagickBooleanType SetImageClipMask(Image *image,const Image *clip_mask)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o clip_mask: the image clip path.
%
*/
MagickExport MagickBooleanType SetImageClipMask(Image *image,
const Image *clip_mask)
{
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (clip_mask != (const Image *) NULL)
if ((clip_mask->columns != image->columns) ||
(clip_mask->rows != image->rows))
ThrowBinaryImageException(ImageError,"ImageSizeDiffers",image->filename);
if (image->clip_mask != (Image *) NULL)
image->clip_mask=DestroyImage(image->clip_mask);
image->clip_mask=NewImageList();
if (clip_mask == (Image *) NULL)
return(MagickTrue);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
image->clip_mask=CloneImage(clip_mask,0,0,MagickTrue,&image->exception);
if (image->clip_mask == (Image *) NULL)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e E x t e n t %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageExtent() sets the image size (i.e. columns & rows).
%
% The format of the SetImageExtent method is:
%
% MagickBooleanType SetImageExtent(Image *image,const size_t columns,
% const size_t rows)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o columns: The image width in pixels.
%
% o rows: The image height in pixels.
%
*/
MagickExport MagickBooleanType SetImageExtent(Image *image,const size_t columns,
const size_t rows)
{
if ((columns == 0) || (rows == 0))
ThrowBinaryImageException(ImageError,"NegativeOrZeroImageSize",
image->filename);
image->columns=columns;
image->rows=rows;
if ((image->depth == 0) || (image->depth > (8*sizeof(MagickSizeType))))
ThrowBinaryImageException(ImageError,"ImageDepthNotSupported",
image->filename);
return(SyncImagePixelCache(image,&image->exception));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S e t I m a g e I n f o %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageInfo() initializes the `magick' field of the ImageInfo structure.
% It is set to a type of image format based on the prefix or suffix of the
% filename. For example, `ps:image' returns PS indicating a Postscript image.
% JPEG is returned for this filename: `image.jpg'. The filename prefix has
% precendence over the suffix. Use an optional index enclosed in brackets
% after a file name to specify a desired scene of a multi-resolution image
% format like Photo CD (e.g. img0001.pcd[4]). A True (non-zero) return value
% indicates success.
%
% The format of the SetImageInfo method is:
%
% MagickBooleanType SetImageInfo(ImageInfo *image_info,
% const unsigned int frames,ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o frames: the number of images you intend to write.
%
% o exception: return any errors or warnings in this structure.
%
*/
MagickExport MagickBooleanType SetImageInfo(ImageInfo *image_info,
const unsigned int frames,ExceptionInfo *exception)
{
char
extension[MaxTextExtent],
filename[MaxTextExtent],
magic[MaxTextExtent],
*q,
subimage[MaxTextExtent];
const MagicInfo
*magic_info;
const MagickInfo
*magick_info;
ExceptionInfo
*sans_exception;
Image
*image;
MagickBooleanType
status;
register const char
*p;
ssize_t
count;
unsigned char
magick[2*MaxTextExtent];
/*
Look for 'image.format' in filename.
*/
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
*subimage='\0';
GetPathComponent(image_info->filename,SubimagePath,subimage);
if (*subimage != '\0')
{
/*
Look for scene specification (e.g. img0001.pcd[4]).
*/
if (IsSceneGeometry(subimage,MagickFalse) == MagickFalse)
{
if (IsGeometry(subimage) != MagickFalse)
(void) CloneString(&image_info->extract,subimage);
}
else
{
size_t
first,
last;
(void) CloneString(&image_info->scenes,subimage);
image_info->scene=StringToUnsignedLong(image_info->scenes);
image_info->number_scenes=image_info->scene;
p=image_info->scenes;
for (q=(char *) image_info->scenes; *q != '\0'; p++)
{
while ((isspace((int) ((unsigned char) *p)) != 0) || (*p == ','))
p++;
first=(size_t) strtol(p,&q,10);
last=first;
while (isspace((int) ((unsigned char) *q)) != 0)
q++;
if (*q == '-')
last=(size_t) strtol(q+1,&q,10);
if (first > last)
Swap(first,last);
if (first < image_info->scene)
image_info->scene=first;
if (last > image_info->number_scenes)
image_info->number_scenes=last;
p=q;
}
image_info->number_scenes-=image_info->scene-1;
image_info->subimage=image_info->scene;
image_info->subrange=image_info->number_scenes;
}
}
*extension='\0';
if (*image_info->magick == '\0')
GetPathComponent(image_info->filename,ExtensionPath,extension);
#if defined(MAGICKCORE_ZLIB_DELEGATE)
if (*extension != '\0')
if ((LocaleCompare(extension,"gz") == 0) ||
(LocaleCompare(extension,"Z") == 0) ||
(LocaleCompare(extension,"svgz") == 0) ||
(LocaleCompare(extension,"wmz") == 0))
{
char
path[MaxTextExtent];
(void) CopyMagickString(path,image_info->filename,MaxTextExtent);
path[strlen(path)-strlen(extension)-1]='\0';
GetPathComponent(path,ExtensionPath,extension);
}
#endif
#if defined(MAGICKCORE_BZLIB_DELEGATE)
if (*extension != '\0')
if (LocaleCompare(extension,"bz2") == 0)
{
char
path[MaxTextExtent];
(void) CopyMagickString(path,image_info->filename,MaxTextExtent);
path[strlen(path)-strlen(extension)-1]='\0';
GetPathComponent(path,ExtensionPath,extension);
}
#endif
image_info->affirm=MagickFalse;
sans_exception=AcquireExceptionInfo();
if ((*extension != '\0') && (IsGlob(extension) == MagickFalse))
{
MagickFormatType
format_type;
register ssize_t
i;
static const char
*format_type_formats[] =
{
"AUTOTRACE",
"BROWSE",
"DCRAW",
"EDIT",
"LAUNCH",
"MPEG:DECODE",
"MPEG:ENCODE",
"PRINT",
"PS:ALPHA",
"PS:CMYK",
"PS:COLOR",
"PS:GRAY",
"PS:MONO",
"SCAN",
"SHOW",
"WIN",
(char *) NULL
};
/*
User specified image format.
*/
(void) CopyMagickString(magic,extension,MaxTextExtent);
LocaleUpper(magic);
/*
Look for explicit image formats.
*/
format_type=UndefinedFormatType;
i=0;
while ((format_type == UndefinedFormatType) &&
(format_type_formats[i] != (char *) NULL))
{
if ((*magic == *format_type_formats[i]) &&
(LocaleCompare(magic,format_type_formats[i]) == 0))
format_type=ExplicitFormatType;
i++;
}
magick_info=GetMagickInfo(magic,sans_exception);
if ((magick_info != (const MagickInfo *) NULL) &&
(magick_info->format_type != UndefinedFormatType))
format_type=magick_info->format_type;
if (format_type == UndefinedFormatType)
(void) CopyMagickString(image_info->magick,magic,MaxTextExtent);
else
if (format_type == ExplicitFormatType)
{
image_info->affirm=MagickTrue;
(void) CopyMagickString(image_info->magick,magic,MaxTextExtent);
}
if (LocaleCompare(magic,"RGB") == 0)
image_info->affirm=MagickFalse; /* maybe SGI disguised as RGB */
}
/*
Look for explicit 'format:image' in filename.
*/
*magic='\0';
GetPathComponent(image_info->filename,MagickPath,magic);
if (*magic == '\0')
{
(void) CopyMagickString(magic,image_info->magick,MaxTextExtent);
magick_info=GetMagickInfo(magic,sans_exception);
GetPathComponent(image_info->filename,CanonicalPath,filename);
(void) CopyMagickString(image_info->filename,filename,MaxTextExtent);
}
else
{
const DelegateInfo
*delegate_info;
/*
User specified image format.
*/
LocaleUpper(magic);
magick_info=GetMagickInfo(magic,sans_exception);
delegate_info=GetDelegateInfo(magic,"*",sans_exception);
if (delegate_info == (const DelegateInfo *) NULL)
delegate_info=GetDelegateInfo("*",magic,sans_exception);
if (((magick_info != (const MagickInfo *) NULL) ||
(delegate_info != (const DelegateInfo *) NULL)) &&
(IsMagickConflict(magic) == MagickFalse))
{
image_info->affirm=MagickTrue;
(void) CopyMagickString(image_info->magick,magic,MaxTextExtent);
GetPathComponent(image_info->filename,CanonicalPath,filename);
(void) CopyMagickString(image_info->filename,filename,MaxTextExtent);
}
}
sans_exception=DestroyExceptionInfo(sans_exception);
if ((magick_info == (const MagickInfo *) NULL) ||
(GetMagickEndianSupport(magick_info) == MagickFalse))
image_info->endian=UndefinedEndian;
if ((image_info->adjoin != MagickFalse) && (frames > 1))
{
/*
Test for multiple image support (e.g. image%02d.png).
*/
(void) InterpretImageFilename(image_info,(Image *) NULL,
image_info->filename,(int) image_info->scene,filename);
if ((LocaleCompare(filename,image_info->filename) != 0) &&
(strchr(filename,'%') == (char *) NULL))
image_info->adjoin=MagickFalse;
}
if ((image_info->adjoin != MagickFalse) && (frames > 0))
{
/*
Some image formats do not support multiple frames per file.
*/
magick_info=GetMagickInfo(magic,exception);
if (magick_info != (const MagickInfo *) NULL)
if (GetMagickAdjoin(magick_info) == MagickFalse)
image_info->adjoin=MagickFalse;
}
if (image_info->affirm != MagickFalse)
return(MagickTrue);
if (frames == 0)
{
/*
Determine the image format from the first few bytes of the file.
*/
image=AcquireImage(image_info);
(void) CopyMagickString(image->filename,image_info->filename,
MaxTextExtent);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
image=DestroyImage(image);
return(MagickFalse);
}
if ((IsBlobSeekable(image) == MagickFalse) ||
(IsBlobExempt(image) != MagickFalse))
{
/*
Copy image to a seekable temporary file.
*/
*filename='\0';
status=ImageToFile(image,filename,exception);
(void) CloseBlob(image);
if (status == MagickFalse)
{
image=DestroyImage(image);
return(MagickFalse);
}
SetImageInfoFile(image_info,(FILE *) NULL);
(void) CopyMagickString(image->filename,filename,MaxTextExtent);
status=OpenBlob(image_info,image,ReadBinaryBlobMode,exception);
if (status == MagickFalse)
{
image=DestroyImage(image);
return(MagickFalse);
}
(void) CopyMagickString(image_info->filename,filename,MaxTextExtent);
image_info->temporary=MagickTrue;
}
(void) memset(magick,0,sizeof(magick));
count=ReadBlob(image,2*MaxTextExtent,magick);
(void) SeekBlob(image,-((MagickOffsetType) count),SEEK_CUR);
(void) CloseBlob(image);
image=DestroyImage(image);
/*
Check magic.xml configuration file.
*/
sans_exception=AcquireExceptionInfo();
magic_info=GetMagicInfo(magick,(size_t) count,sans_exception);
if ((magic_info != (const MagicInfo *) NULL) &&
(GetMagicName(magic_info) != (char *) NULL))
{
(void) CopyMagickString(image_info->magick,GetMagicName(magic_info),
MaxTextExtent);
magick_info=GetMagickInfo(image_info->magick,sans_exception);
if ((magick_info == (const MagickInfo *) NULL) ||
(GetMagickEndianSupport(magick_info) == MagickFalse))
image_info->endian=UndefinedEndian;
sans_exception=DestroyExceptionInfo(sans_exception);
return(MagickTrue);
}
magick_info=GetMagickInfo(image_info->magick,sans_exception);
if ((magick_info == (const MagickInfo *) NULL) ||
(GetMagickEndianSupport(magick_info) == MagickFalse))
image_info->endian=UndefinedEndian;
sans_exception=DestroyExceptionInfo(sans_exception);
}
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e I n f o B l o b %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageInfoBlob() sets the image info blob member.
%
% The format of the SetImageInfoBlob method is:
%
% void SetImageInfoBlob(ImageInfo *image_info,const void *blob,
% const size_t length)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o blob: the blob.
%
% o length: the blob length.
%
*/
MagickExport void SetImageInfoBlob(ImageInfo *image_info,const void *blob,
const size_t length)
{
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
image_info->blob=(void *) blob;
image_info->length=length;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e I n f o F i l e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageInfoFile() sets the image info file member.
%
% The format of the SetImageInfoFile method is:
%
% void SetImageInfoFile(ImageInfo *image_info,FILE *file)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o file: the file.
%
*/
MagickExport void SetImageInfoFile(ImageInfo *image_info,FILE *file)
{
assert(image_info != (ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
if (image_info->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",
image_info->filename);
image_info->file=file;
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e M a s k %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageMask() associates a mask with the image. The mask must be the same
% dimensions as the image.
%
% The format of the SetImageMask method is:
%
% MagickBooleanType SetImageMask(Image *image,const Image *mask)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o mask: the image mask.
%
*/
MagickExport MagickBooleanType SetImageMask(Image *image,const Image *mask)
{
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (mask != (const Image *) NULL)
if ((mask->columns != image->columns) || (mask->rows != image->rows))
ThrowBinaryImageException(ImageError,"ImageSizeDiffers",image->filename);
if (image->mask != (Image *) NULL)
image->mask=DestroyImage(image->mask);
image->mask=NewImageList();
if (mask == (Image *) NULL)
return(MagickTrue);
if (SetImageStorageClass(image,DirectClass) == MagickFalse)
return(MagickFalse);
image->mask=CloneImage(mask,0,0,MagickTrue,&image->exception);
if (image->mask == (Image *) NULL)
return(MagickFalse);
return(MagickTrue);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e O p a c i t y %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageOpacity() sets the opacity levels of the image.
%
% The format of the SetImageOpacity method is:
%
% MagickBooleanType SetImageOpacity(Image *image,const Quantum opacity)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o opacity: the level of transparency: 0 is fully opaque and QuantumRange is
% fully transparent.
%
*/
MagickExport MagickBooleanType SetImageOpacity(Image *image,
const Quantum opacity)
{
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);
image->matte=MagickTrue;
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++)
{
register PixelPacket
*magick_restrict q;
register 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++)
{
SetPixelOpacity(q,opacity);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S e t I m a g e V i r t u a l P i x e l M e t h o d %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SetImageVirtualPixelMethod() sets the "virtual pixels" method for the
% image and returns the previous setting. A virtual pixel is any pixel access
% that is outside the boundaries of the image cache.
%
% The format of the SetImageVirtualPixelMethod() method is:
%
% VirtualPixelMethod SetImageVirtualPixelMethod(const Image *image,
% const VirtualPixelMethod virtual_pixel_method)
%
% A description of each parameter follows:
%
% o image: the image.
%
% o virtual_pixel_method: choose the type of virtual pixel.
%
*/
MagickExport VirtualPixelMethod SetImageVirtualPixelMethod(const Image *image,
const VirtualPixelMethod virtual_pixel_method)
{
assert(image != (const Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
return(SetPixelCacheVirtualMethod(image,virtual_pixel_method));
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S m u s h I m a g e s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SmushImages() takes all images from the current image pointer to the end
% of the image list and smushes them to each other top-to-bottom if the
% stack parameter is true, otherwise left-to-right.
%
% The current gravity setting now effects how the image is justified in the
% final image.
%
% The format of the SmushImages method is:
%
% Image *SmushImages(const Image *images,const MagickBooleanType stack,
% ExceptionInfo *exception)
%
% A description of each parameter follows:
%
% o images: the image sequence.
%
% o stack: A value other than 0 stacks the images top-to-bottom.
%
% o offset: minimum distance in pixels between images.
%
% o exception: return any errors or warnings in this structure.
%
*/
static ssize_t SmushXGap(const Image *smush_image,const Image *images,
const ssize_t offset,ExceptionInfo *exception)
{
CacheView
*left_view,
*right_view;
const Image
*left_image,
*right_image;
RectangleInfo
left_geometry,
right_geometry;
register const PixelPacket
*p;
register ssize_t
i,
y;
size_t
gap;
ssize_t
x;
if (images->previous == (Image *) NULL)
return(0);
right_image=images;
SetGeometry(smush_image,&right_geometry);
GravityAdjustGeometry(right_image->columns,right_image->rows,
right_image->gravity,&right_geometry);
left_image=images->previous;
SetGeometry(smush_image,&left_geometry);
GravityAdjustGeometry(left_image->columns,left_image->rows,
left_image->gravity,&left_geometry);
gap=right_image->columns;
left_view=AcquireVirtualCacheView(left_image,exception);
right_view=AcquireVirtualCacheView(right_image,exception);
for (y=0; y < (ssize_t) smush_image->rows; y++)
{
for (x=(ssize_t) left_image->columns-1; x > 0; x--)
{
p=GetCacheViewVirtualPixels(left_view,x,left_geometry.y+y,1,1,exception);
if ((p == (const PixelPacket *) NULL) ||
(GetPixelOpacity(p) != TransparentOpacity) ||
((left_image->columns-x-1) >= gap))
break;
}
i=(ssize_t) left_image->columns-x-1;
for (x=0; x < (ssize_t) right_image->columns; x++)
{
p=GetCacheViewVirtualPixels(right_view,x,right_geometry.y+y,1,1,
exception);
if ((p == (const PixelPacket *) NULL) ||
(GetPixelOpacity(p) != TransparentOpacity) ||
((x+i) >= (ssize_t) gap))
break;
}
if ((x+i) < (ssize_t) gap)
gap=(size_t) (x+i);
}
right_view=DestroyCacheView(right_view);
left_view=DestroyCacheView(left_view);
if (y < (ssize_t) smush_image->rows)
return(offset);
return((ssize_t) gap-offset);
}
static ssize_t SmushYGap(const Image *smush_image,const Image *images,
const ssize_t offset,ExceptionInfo *exception)
{
CacheView
*bottom_view,
*top_view;
const Image
*bottom_image,
*top_image;
RectangleInfo
bottom_geometry,
top_geometry;
register const PixelPacket
*p;
register ssize_t
i,
x;
size_t
gap;
ssize_t
y;
if (images->previous == (Image *) NULL)
return(0);
bottom_image=images;
SetGeometry(smush_image,&bottom_geometry);
GravityAdjustGeometry(bottom_image->columns,bottom_image->rows,
bottom_image->gravity,&bottom_geometry);
top_image=images->previous;
SetGeometry(smush_image,&top_geometry);
GravityAdjustGeometry(top_image->columns,top_image->rows,top_image->gravity,
&top_geometry);
gap=bottom_image->rows;
top_view=AcquireVirtualCacheView(top_image,exception);
bottom_view=AcquireVirtualCacheView(bottom_image,exception);
for (x=0; x < (ssize_t) smush_image->columns; x++)
{
for (y=(ssize_t) top_image->rows-1; y > 0; y--)
{
p=GetCacheViewVirtualPixels(top_view,top_geometry.x+x,y,1,1,exception);
if ((p == (const PixelPacket *) NULL) ||
(GetPixelOpacity(p) != TransparentOpacity) ||
((top_image->rows-y-1) >= gap))
break;
}
i=(ssize_t) top_image->rows-y-1;
for (y=0; y < (ssize_t) bottom_image->rows; y++)
{
p=GetCacheViewVirtualPixels(bottom_view,bottom_geometry.x+x,y,1,1,
exception);
if ((p == (const PixelPacket *) NULL) ||
(GetPixelOpacity(p) != TransparentOpacity) ||
((y+i) >= (ssize_t) gap))
break;
}
if ((y+i) < (ssize_t) gap)
gap=(size_t) (y+i);
}
bottom_view=DestroyCacheView(bottom_view);
top_view=DestroyCacheView(top_view);
if (x < (ssize_t) smush_image->columns)
return(offset);
return((ssize_t) gap-offset);
}
MagickExport Image *SmushImages(const Image *images,
const MagickBooleanType stack,const ssize_t offset,ExceptionInfo *exception)
{
#define SmushImageTag "Smush/Image"
CacheView
*smush_view;
const Image
*image;
Image
*smush_image;
MagickBooleanType
matte,
proceed,
status;
MagickOffsetType
n;
RectangleInfo
geometry;
register const Image
*next;
size_t
height,
number_images,
width;
ssize_t
x_offset,
y_offset;
/*
Compute maximum area of smushed area.
*/
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
assert(exception != (ExceptionInfo *) NULL);
assert(exception->signature == MagickCoreSignature);
image=images;
matte=image->matte;
number_images=1;
width=image->columns;
height=image->rows;
next=GetNextImageInList(image);
for ( ; next != (Image *) NULL; next=GetNextImageInList(next))
{
if (next->matte != MagickFalse)
matte=MagickTrue;
number_images++;
if (stack != MagickFalse)
{
if (next->columns > width)
width=next->columns;
height+=next->rows;
if (next->previous != (Image *) NULL)
height+=offset;
continue;
}
width+=next->columns;
if (next->previous != (Image *) NULL)
width+=offset;
if (next->rows > height)
height=next->rows;
}
/*
Smush images.
*/
smush_image=CloneImage(image,width,height,MagickTrue,exception);
if (smush_image == (Image *) NULL)
return((Image *) NULL);
if (SetImageStorageClass(smush_image,DirectClass) == MagickFalse)
{
InheritException(exception,&smush_image->exception);
smush_image=DestroyImage(smush_image);
return((Image *) NULL);
}
smush_image->matte=matte;
(void) SetImageBackgroundColor(smush_image);
status=MagickTrue;
x_offset=0;
y_offset=0;
smush_view=AcquireVirtualCacheView(smush_image,exception);
for (n=0; n < (MagickOffsetType) number_images; n++)
{
SetGeometry(smush_image,&geometry);
GravityAdjustGeometry(image->columns,image->rows,image->gravity,&geometry);
if (stack != MagickFalse)
{
x_offset-=geometry.x;
y_offset-=SmushYGap(smush_image,image,offset,exception);
}
else
{
x_offset-=SmushXGap(smush_image,image,offset,exception);
y_offset-=geometry.y;
}
status=CompositeImage(smush_image,OverCompositeOp,image,x_offset,y_offset);
proceed=SetImageProgress(image,SmushImageTag,n,number_images);
if (proceed == MagickFalse)
break;
if (stack == MagickFalse)
{
x_offset+=(ssize_t) image->columns;
y_offset=0;
}
else
{
x_offset=0;
y_offset+=(ssize_t) image->rows;
}
image=GetNextImageInList(image);
}
if (stack == MagickFalse)
smush_image->columns=(size_t) x_offset;
else
smush_image->rows=(size_t) y_offset;
smush_view=DestroyCacheView(smush_view);
if (status == MagickFalse)
smush_image=DestroyImage(smush_image);
return(smush_image);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S t r i p I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% StripImage() strips an image of all profiles and comments.
%
% The format of the StripImage method is:
%
% MagickBooleanType StripImage(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
MagickExport MagickBooleanType StripImage(Image *image)
{
MagickBooleanType
status;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
DestroyImageProfiles(image);
(void) DeleteImageProperty(image,"comment");
(void) DeleteImageProperty(image,"date:create");
(void) DeleteImageProperty(image,"date:modify");
status=SetImageArtifact(image,"png:exclude-chunk",
"bKGD,caNv,cHRM,eXIf,gAMA,iCCP,iTXt,pHYs,sRGB,tEXt,zCCP,zTXt,date");
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
+ S y n c I m a g e %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncImage() initializes the red, green, and blue intensities of each pixel
% as defined by the colormap index.
%
% The format of the SyncImage method is:
%
% MagickBooleanType SyncImage(Image *image)
%
% A description of each parameter follows:
%
% o image: the image.
%
*/
static inline IndexPacket PushColormapIndex(Image *image,
const size_t index,MagickBooleanType *range_exception)
{
if (index < image->colors)
return((IndexPacket) index);
*range_exception=MagickTrue;
return((IndexPacket) 0);
}
MagickExport MagickBooleanType SyncImage(Image *image)
{
CacheView
*image_view;
ExceptionInfo
*exception;
MagickBooleanType
range_exception,
status,
taint;
ssize_t
y;
assert(image != (Image *) NULL);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"...");
assert(image->signature == MagickCoreSignature);
if (image->ping != MagickFalse)
return(MagickTrue);
if (image->storage_class != PseudoClass)
return(MagickFalse);
assert(image->colormap != (PixelPacket *) NULL);
range_exception=MagickFalse;
status=MagickTrue;
taint=image->taint;
exception=(&image->exception);
image_view=AcquireAuthenticCacheView(image,exception);
#if defined(MAGICKCORE_OPENMP_SUPPORT)
#pragma omp parallel for schedule(static) shared(range_exception,status) \
magick_number_threads(image,image,image->rows,1)
#endif
for (y=0; y < (ssize_t) image->rows; y++)
{
IndexPacket
index;
register IndexPacket
*magick_restrict indexes;
register PixelPacket
*magick_restrict q;
register 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);
for (x=0; x < (ssize_t) image->columns; x++)
{
index=PushColormapIndex(image,(size_t) GetPixelIndex(indexes+x),
&range_exception);
if (image->matte == MagickFalse)
SetPixelRgb(q,image->colormap+(ssize_t) index)
else
SetPixelRGBO(q,image->colormap+(ssize_t) index);
q++;
}
if (SyncCacheViewAuthenticPixels(image_view,exception) == MagickFalse)
status=MagickFalse;
}
image_view=DestroyCacheView(image_view);
image->taint=taint;
if ((image->ping == MagickFalse) && (range_exception != MagickFalse))
(void) ThrowMagickException(&image->exception,GetMagickModule(),
CorruptImageWarning,"InvalidColormapIndex","`%s'",image->filename);
return(status);
}
/*
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% %
% %
% %
% S y n c I m a g e S e t t i n g s %
% %
% %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% SyncImageSettings() syncs image_info options into per-image attributes.
%
% The format of the SyncImageSettings method is:
%
% MagickBooleanType SyncImageSettings(const ImageInfo *image_info,
% Image *image)
% MagickBooleanType SyncImagesSettings(const ImageInfo *image_info,
% Image *image)
%
% A description of each parameter follows:
%
% o image_info: the image info.
%
% o image: the image.
%
*/
MagickExport MagickBooleanType SyncImagesSettings(ImageInfo *image_info,
Image *images)
{
Image
*image;
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(images != (Image *) NULL);
assert(images->signature == MagickCoreSignature);
if (images->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",images->filename);
image=images;
for ( ; image != (Image *) NULL; image=GetNextImageInList(image))
(void) SyncImageSettings(image_info,image);
(void) DeleteImageOption(image_info,"page");
return(MagickTrue);
}
MagickExport MagickBooleanType SyncImageSettings(const ImageInfo *image_info,
Image *image)
{
char
property[MaxTextExtent];
const char
*option,
*value;
GeometryInfo
geometry_info;
MagickStatusType
flags;
ResolutionType
units;
/*
Sync image options.
*/
assert(image_info != (const ImageInfo *) NULL);
assert(image_info->signature == MagickCoreSignature);
assert(image != (Image *) NULL);
assert(image->signature == MagickCoreSignature);
if (image->debug != MagickFalse)
(void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename);
option=GetImageOption(image_info,"background");
if (option != (const char *) NULL)
(void) QueryColorDatabase(option,&image->background_color,
&image->exception);
option=GetImageOption(image_info,"bias");
if (option != (const char *) NULL)
image->bias=StringToDoubleInterval(option,(double) QuantumRange+1.0);
option=GetImageOption(image_info,"black-point-compensation");
if (option != (const char *) NULL)
image->black_point_compensation=(MagickBooleanType) ParseCommandOption(
MagickBooleanOptions,MagickFalse,option);
option=GetImageOption(image_info,"blue-primary");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->chromaticity.blue_primary.x=geometry_info.rho;
image->chromaticity.blue_primary.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->chromaticity.blue_primary.y=image->chromaticity.blue_primary.x;
}
option=GetImageOption(image_info,"bordercolor");
if (option != (const char *) NULL)
(void) QueryColorDatabase(option,&image->border_color,&image->exception);
option=GetImageOption(image_info,"colors");
if (option != (const char *) NULL)
image->colors=StringToUnsignedLong(option);
option=GetImageOption(image_info,"compose");
if (option != (const char *) NULL)
image->compose=(CompositeOperator) ParseCommandOption(MagickComposeOptions,
MagickFalse,option);
option=GetImageOption(image_info,"compress");
if (option != (const char *) NULL)
image->compression=(CompressionType) ParseCommandOption(
MagickCompressOptions,MagickFalse,option);
option=GetImageOption(image_info,"debug");
if (option != (const char *) NULL)
image->debug=(MagickBooleanType) ParseCommandOption(MagickBooleanOptions,
MagickFalse,option);
option=GetImageOption(image_info,"density");
if (option != (const char *) NULL)
{
GeometryInfo
geometry_info;
/*
Set image density.
*/
flags=ParseGeometry(option,&geometry_info);
image->x_resolution=geometry_info.rho;
image->y_resolution=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->y_resolution=image->x_resolution;
}
option=GetImageOption(image_info,"depth");
if (option != (const char *) NULL)
image->depth=StringToUnsignedLong(option);
option=GetImageOption(image_info,"endian");
if (option != (const char *) NULL)
image->endian=(EndianType) ParseCommandOption(MagickEndianOptions,
MagickFalse,option);
option=GetImageOption(image_info,"filter");
if (option != (const char *) NULL)
image->filter=(FilterTypes) ParseCommandOption(MagickFilterOptions,
MagickFalse,option);
option=GetImageOption(image_info,"fuzz");
if (option != (const char *) NULL)
image->fuzz=StringToDoubleInterval(option,(double) QuantumRange+1.0);
option=GetImageOption(image_info,"gravity");
if (option != (const char *) NULL)
image->gravity=(GravityType) ParseCommandOption(MagickGravityOptions,
MagickFalse,option);
option=GetImageOption(image_info,"green-primary");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->chromaticity.green_primary.x=geometry_info.rho;
image->chromaticity.green_primary.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->chromaticity.green_primary.y=image->chromaticity.green_primary.x;
}
option=GetImageOption(image_info,"intensity");
if (option != (const char *) NULL)
image->intensity=(PixelIntensityMethod) ParseCommandOption(
MagickPixelIntensityOptions,MagickFalse,option);
option=GetImageOption(image_info,"intent");
if (option != (const char *) NULL)
image->rendering_intent=(RenderingIntent) ParseCommandOption(
MagickIntentOptions,MagickFalse,option);
option=GetImageOption(image_info,"interlace");
if (option != (const char *) NULL)
image->interlace=(InterlaceType) ParseCommandOption(MagickInterlaceOptions,
MagickFalse,option);
option=GetImageOption(image_info,"interpolate");
if (option != (const char *) NULL)
image->interpolate=(InterpolatePixelMethod) ParseCommandOption(
MagickInterpolateOptions,MagickFalse,option);
option=GetImageOption(image_info,"loop");
if (option != (const char *) NULL)
image->iterations=StringToUnsignedLong(option);
option=GetImageOption(image_info,"mattecolor");
if (option != (const char *) NULL)
(void) QueryColorDatabase(option,&image->matte_color,&image->exception);
option=GetImageOption(image_info,"orient");
if (option != (const char *) NULL)
image->orientation=(OrientationType) ParseCommandOption(
MagickOrientationOptions,MagickFalse,option);
option=GetImageOption(image_info,"page");
if (option != (const char *) NULL)
{
char
*geometry;
geometry=GetPageGeometry(option);
flags=ParseAbsoluteGeometry(geometry,&image->page);
geometry=DestroyString(geometry);
}
option=GetImageOption(image_info,"quality");
if (option != (const char *) NULL)
image->quality=StringToUnsignedLong(option);
option=GetImageOption(image_info,"red-primary");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->chromaticity.red_primary.x=geometry_info.rho;
image->chromaticity.red_primary.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->chromaticity.red_primary.y=image->chromaticity.red_primary.x;
}
if (image_info->quality != UndefinedCompressionQuality)
image->quality=image_info->quality;
option=GetImageOption(image_info,"scene");
if (option != (const char *) NULL)
image->scene=StringToUnsignedLong(option);
option=GetImageOption(image_info,"taint");
if (option != (const char *) NULL)
image->taint=(MagickBooleanType) ParseCommandOption(MagickBooleanOptions,
MagickFalse,option);
option=GetImageOption(image_info,"tile-offset");
if (option != (const char *) NULL)
{
char
*geometry;
geometry=GetPageGeometry(option);
flags=ParseAbsoluteGeometry(geometry,&image->tile_offset);
geometry=DestroyString(geometry);
}
option=GetImageOption(image_info,"transparent-color");
if (option != (const char *) NULL)
(void) QueryColorDatabase(option,&image->transparent_color,
&image->exception);
option=GetImageOption(image_info,"type");
if (option != (const char *) NULL)
image->type=(ImageType) ParseCommandOption(MagickTypeOptions,MagickFalse,
option);
option=GetImageOption(image_info,"units");
if (option != (const char *) NULL)
units=(ResolutionType) ParseCommandOption(MagickResolutionOptions,
MagickFalse,option);
else
units = image_info->units;
if (units != UndefinedResolution)
{
if (image->units != units)
switch (image->units)
{
case PixelsPerInchResolution:
{
if (units == PixelsPerCentimeterResolution)
{
image->x_resolution/=2.54;
image->y_resolution/=2.54;
}
break;
}
case PixelsPerCentimeterResolution:
{
if (units == PixelsPerInchResolution)
{
image->x_resolution=(double) ((size_t) (100.0*2.54*
image->x_resolution+0.5))/100.0;
image->y_resolution=(double) ((size_t) (100.0*2.54*
image->y_resolution+0.5))/100.0;
}
break;
}
default:
break;
}
image->units=units;
}
option=GetImageOption(image_info,"white-point");
if (option != (const char *) NULL)
{
flags=ParseGeometry(option,&geometry_info);
image->chromaticity.white_point.x=geometry_info.rho;
image->chromaticity.white_point.y=geometry_info.sigma;
if ((flags & SigmaValue) == 0)
image->chromaticity.white_point.y=image->chromaticity.white_point.x;
}
ResetImageOptionIterator(image_info);
for (option=GetNextImageOption(image_info); option != (const char *) NULL; )
{
value=GetImageOption(image_info,option);
if (value != (const char *) NULL)
{
(void) FormatLocaleString(property,MaxTextExtent,"%s",option);
(void) SetImageArtifact(image,property,value);
}
option=GetNextImageOption(image_info);
}
return(MagickTrue);
}
|
GB_thread_local.c | //------------------------------------------------------------------------------
// GB_thread_local: manage thread-local storage
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// TODO in 4.0: delete this
// This implementation is complete for user threading with POSIX threads,
// OpenMP, and no user threads. Windows and ANSI C11 threads are not yet
// supported.
// Thread local storage is used to to record the details of the last error
// encountered for GrB_error. If the user application is multi-threaded, each
// thread that calls GraphBLAS needs its own private copy of this report.
// These two functions are defined here:
// GB_thread_local_init: initialize thread-local storage
// GB_thread_local_get: get pointer to thread-local storage
// They access the following global or thread-local variables, which are
// defined and accessible only in this file:
// GB_thread_local_key: for POSIX threads only
// GB_thread_local_report: for OpenMP and ANSI C11 threads only
#include "GB_thread_local.h"
#if defined ( USER_POSIX_THREADS )
// thread-local storage for POSIX THREADS
pthread_key_t GB_thread_local_key ;
#else
// OpenMP user threads, or no user threads: this is the default
char GB_thread_local_report [GB_RLEN+1] = "" ;
#pragma omp threadprivate(GB_thread_local_report)
#endif
//------------------------------------------------------------------------------
// GB_thread_local_init: initialize thread-local storage
//------------------------------------------------------------------------------
bool GB_thread_local_init
(
void (* free_function) (void *) // used for POSIX threads only
)
{
#if defined ( USER_POSIX_THREADS )
{
// initialize the key for thread-local storage, allocated in
// GB_thread_local_get via GB_Global_calloc_function, and freed by
// GB_Global_free_function.
return (pthread_key_create (&GB_thread_local_key, free_function) == 0) ;
}
#else
{
GB_thread_local_report [0] = '\0' ;
return (true) ;
}
#endif
}
//------------------------------------------------------------------------------
// GB_thread_local_get: get pointer to thread-local storage
//------------------------------------------------------------------------------
char *GB_thread_local_get (void) // get pointer to thread-local storage
{
#if defined ( USER_POSIX_THREADS )
{
// thread-local storage for POSIX
char *p = pthread_getspecific (GB_thread_local_key) ;
if (p == NULL)
{
// first time: allocate the space for the report
p = (void *) GB_Global_calloc_function ((GB_RLEN+1), sizeof (char));
if (p != NULL) pthread_setspecific (GB_thread_local_key, p) ;
}
// do not attempt to recover from a failure to allocate the space;
// just return the NULL pointer on failure. The caller will catch it.
return (p) ;
}
#else
{
return (GB_thread_local_report) ;
}
#endif
}
|
GB_reduce_build_template.c | //------------------------------------------------------------------------------
// GB_reduce_build_template.c: Tx=build(Sx), and assemble any duplicate tuples
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2022, All Rights Reserved.
// SPDX-License-Identifier: Apache-2.0
//------------------------------------------------------------------------------
// This template is used in GB_builder and the Generated2/GB_red__* workers.
// This is the same for both vectors and matrices, since this step is agnostic
// about which vectors the entries appear.
// Sx and Tx are either both iso or both non-iso. For the iso case,
// GB_ISO_BUILD is defined, and K_work is NULL. The iso case is not handled by
// the Generated2/ GB_red__* workers, since it doesn't access the values at all.
{
// k unused for some uses of this template
#include "GB_unused.h"
if (ndupl == 0)
{
//----------------------------------------------------------------------
// no duplicates, just permute Sx into Tx
//----------------------------------------------------------------------
// If no duplicates are present, then GB_builder has already
// transplanted I_work into T->i, so this step does not need to
// construct T->i. The tuple values, in Sx, are copied or permuted
// into T->x. This step is skipped if T and Sx are iso.
#ifndef GB_ISO_BUILD
if (K_work == NULL)
{
int tid ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (tid = 0 ; tid < nthreads ; tid++)
{
int64_t tstart = tstart_slice [tid] ;
int64_t tend = tstart_slice [tid+1] ;
for (int64_t t = tstart ; t < tend ; t++)
{
// Tx [t] = (ttype) Sx [t] ; with typecast
GB_CAST_ARRAY_TO_ARRAY (Tx, t, Sx, t) ;
}
}
}
else
{
int tid ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (tid = 0 ; tid < nthreads ; tid++)
{
int64_t tstart = tstart_slice [tid] ;
int64_t tend = tstart_slice [tid+1] ;
for (int64_t t = tstart ; t < tend ; t++)
{
// Tx [t] = (ttype) Sx [K_work [t]] ; with typecast
GB_CAST_ARRAY_TO_ARRAY (Tx, t, Sx, K_work [t]) ;
}
}
}
#endif
}
else
{
//----------------------------------------------------------------------
// assemble duplicates
//----------------------------------------------------------------------
// If T and Sx as non-iso, entries in Sx must be copied into T->x, with
// any duplicates summed via the operator. T->i must also be
// constructed. T->x and Sx are not modified if they are iso.
int tid ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (tid = 0 ; tid < nthreads ; tid++)
{
int64_t my_tnz = tnz_slice [tid] ;
int64_t tstart = tstart_slice [tid] ;
int64_t tend = tstart_slice [tid+1] ;
// find the first unique tuple owned by this slice
int64_t t ;
for (t = tstart ; t < tend ; t++)
{
// get the tuple and break if it is not a duplicate
if (I_work [t] >= 0) break ;
}
// scan all tuples and assemble any duplicates
for ( ; t < tend ; t++)
{
// get the t-th tuple, a unique tuple
int64_t i = I_work [t] ;
ASSERT (i >= 0) ;
#ifndef GB_ISO_BUILD
int64_t k = (K_work == NULL) ? t : K_work [t] ;
// Tx [my_tnz] = Sx [k] ; with typecast
GB_CAST_ARRAY_TO_ARRAY (Tx, my_tnz, Sx, k) ;
#endif
Ti [my_tnz] = i ;
// assemble all duplicates that follow it. This may assemble
// the first duplicates in the next slice(s) (up to but not
// including the first unique tuple in the subsequent slice(s)).
for ( ; t+1 < nvals && I_work [t+1] < 0 ; t++)
{
// assemble the duplicate tuple
#ifndef GB_ISO_BUILD
int64_t k = (K_work == NULL) ? (t+1) : K_work [t+1] ;
// Tx [my_tnz] += Sx [k] with typecast
GB_ADD_CAST_ARRAY_TO_ARRAY (Tx, my_tnz, Sx, k) ;
#endif
}
my_tnz++ ;
}
}
}
}
#undef GB_ISO_BUILD
|
3d25pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 8;
tile_size[1] = 8;
tile_size[2] = 8;
tile_size[3] = 64;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 1) && (Nx >= 9) && (Ny >= 9) && (Nz >= 9)) {
for (t1=-1;t1<=Nt-1;t1++) {
lbp=ceild(t1+1,2);
ubp=min(floord(4*Nt+Nz-9,8),floord(4*t1+Nz-2,8));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(ceild(t1,2),ceild(8*t2-Nz+5,8));t3<=min(floord(4*Nt+Ny-9,8),floord(4*t1+Ny-1,8));t3++) {
for (t4=max(max(ceild(t1-14,16),ceild(8*t2-Nz-51,64)),ceild(8*t3-Ny-51,64));t4<=min(min(floord(4*Nt+Nx-9,64),floord(4*t1+Nx-1,64)),floord(8*t3+Nx-5,64));t4++) {
for (t5=max(max(max(max(0,ceild(8*t2-Nz+5,4)),ceild(8*t3-Ny+5,4)),ceild(64*t4-Nx+5,4)),t1);t5<=min(min(min(2*t3,Nt-1),t1+1),16*t4+14);t5++) {
for (t6=max(max(8*t2,4*t5+4),-8*t1+8*t2+8*t5-7);t6<=min(min(8*t2+7,-8*t1+8*t2+8*t5),4*t5+Nz-5);t6++) {
for (t7=max(8*t3,4*t5+4);t7<=min(8*t3+7,4*t5+Ny-5);t7++) {
lbv=max(64*t4,4*t5+4);
ubv=min(64*t4+63,4*t5+Nx-5);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] = (((((((((((((coef[0][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)]) + (coef[1][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 1][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 1][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 1][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 1][ (-4*t5+t8)]))) + (coef[3][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 1] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 1]))) + (coef[4][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 2][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 2][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[5][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 2][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 2][ (-4*t5+t8)]))) + (coef[6][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 2] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 2]))) + (coef[7][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 3][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 3][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[8][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 3][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 3][ (-4*t5+t8)]))) + (coef[9][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 3] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 3]))) + (coef[10][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 4][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 4][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[11][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 4][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 4][ (-4*t5+t8)]))) + (coef[12][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 4] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 4])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
interp1.c | /*
* File: interp1.c
*
* MATLAB Coder version : 3.0
* C/C++ source code generated on : 15-Nov-2015 19:51:15
*/
/* Include Files */
#include "rt_nonfinite.h"
#include "yaapt.h"
#include "interp1.h"
#include "yaapt_emxutil.h"
#include "pchip.h"
/* Function Definitions */
/*
* Arguments : const emxArray_real_T *varargin_1
* const emxArray_real_T *varargin_2
* const emxArray_real_T *varargin_3
* emxArray_real_T *Vq
* Return Type : void
*/
void interp1(const emxArray_real_T *varargin_1, const emxArray_real_T
*varargin_2, const emxArray_real_T *varargin_3, emxArray_real_T *Vq)
{
emxArray_real_T *y;
int j2;
int nd2;
emxArray_real_T *x;
int nx;
unsigned int outsize[2];
emxArray_real_T *xi;
struct_T pp;
emxArray_real_T *b_y;
int exitg1;
int b_j1;
double xtmp;
int k;
int b_k;
double v;
int low_i;
int low_ip1;
int high_i;
int mid_i;
double xloc;
emxInit_real_T(&y, 2);
j2 = y->size[0] * y->size[1];
y->size[0] = 1;
y->size[1] = varargin_2->size[1];
emxEnsureCapacity((emxArray__common *)y, j2, (int)sizeof(double));
nd2 = varargin_2->size[0] * varargin_2->size[1];
for (j2 = 0; j2 < nd2; j2++) {
y->data[j2] = varargin_2->data[j2];
}
emxInit_real_T(&x, 2);
j2 = x->size[0] * x->size[1];
x->size[0] = 1;
x->size[1] = varargin_1->size[1];
emxEnsureCapacity((emxArray__common *)x, j2, (int)sizeof(double));
nd2 = varargin_1->size[0] * varargin_1->size[1];
for (j2 = 0; j2 < nd2; j2++) {
x->data[j2] = varargin_1->data[j2];
}
nx = varargin_1->size[1];
for (j2 = 0; j2 < 2; j2++) {
outsize[j2] = (unsigned int)varargin_3->size[j2];
}
j2 = Vq->size[0] * Vq->size[1];
Vq->size[0] = 1;
Vq->size[1] = (int)outsize[1];
emxEnsureCapacity((emxArray__common *)Vq, j2, (int)sizeof(double));
nd2 = (int)outsize[1];
for (j2 = 0; j2 < nd2; j2++) {
Vq->data[j2] = 0.0;
}
if (varargin_3->size[1] == 0) {
} else {
nd2 = 1;
emxInit_real_T(&xi, 2);
emxInitStruct_struct_T(&pp);
emxInit_real_T(&b_y, 2);
do {
exitg1 = 0;
if (nd2 <= nx) {
if (rtIsNaN(varargin_1->data[nd2 - 1])) {
exitg1 = 1;
} else {
nd2++;
}
} else {
if (varargin_1->data[1] < varargin_1->data[0]) {
j2 = nx >> 1;
for (b_j1 = 1; b_j1 <= j2; b_j1++) {
xtmp = x->data[b_j1 - 1];
x->data[b_j1 - 1] = x->data[nx - b_j1];
x->data[nx - b_j1] = xtmp;
}
nd2 = varargin_2->size[1] >> 1;
for (b_j1 = 1; b_j1 <= nd2; b_j1++) {
j2 = varargin_2->size[1] - b_j1;
xtmp = y->data[b_j1 - 1];
y->data[b_j1 - 1] = y->data[j2];
y->data[j2] = xtmp;
}
}
j2 = xi->size[0] * xi->size[1];
xi->size[0] = 1;
xi->size[1] = varargin_3->size[1];
emxEnsureCapacity((emxArray__common *)xi, j2, (int)sizeof(double));
nd2 = varargin_3->size[0] * varargin_3->size[1];
for (j2 = 0; j2 < nd2; j2++) {
xi->data[j2] = varargin_3->data[j2];
}
nd2 = y->size[1];
j2 = b_y->size[0] * b_y->size[1];
b_y->size[0] = 1;
b_y->size[1] = nd2;
emxEnsureCapacity((emxArray__common *)b_y, j2, (int)sizeof(double));
for (j2 = 0; j2 < nd2; j2++) {
b_y->data[b_y->size[0] * j2] = y->data[j2];
}
pchip(x, b_y, pp.breaks, pp.coefs);
nd2 = varargin_3->size[1];
#pragma omp parallel for \
num_threads(omp_get_max_threads()) \
private(b_k,low_i,v,low_ip1,high_i,xloc,mid_i)
for (k = 1; k <= nd2; k++) {
b_k = k;
if (rtIsNaN(xi->data[b_k - 1])) {
Vq->data[b_k - 1] = rtNaN;
} else {
if (rtIsNaN(xi->data[b_k - 1])) {
v = xi->data[b_k - 1];
} else {
low_i = 1;
low_ip1 = 2;
high_i = pp.breaks->size[1];
while (high_i > low_ip1) {
mid_i = (low_i >> 1) + (high_i >> 1);
if (((low_i & 1) == 1) && ((high_i & 1) == 1)) {
mid_i++;
}
if (xi->data[b_k - 1] >= pp.breaks->data[mid_i - 1]) {
low_i = mid_i;
low_ip1 = mid_i + 1;
} else {
high_i = mid_i;
}
}
xloc = xi->data[b_k - 1] - pp.breaks->data[low_i - 1];
v = pp.coefs->data[low_i - 1];
for (low_ip1 = 0; low_ip1 < 3; low_ip1++) {
v = xloc * v + pp.coefs->data[(low_i + (low_ip1 + 1) *
(pp.breaks->size[1] - 1)) - 1];
}
}
Vq->data[b_k - 1] = v;
}
}
exitg1 = 1;
}
} while (exitg1 == 0);
emxFree_real_T(&b_y);
emxFreeStruct_struct_T(&pp);
emxFree_real_T(&xi);
}
emxFree_real_T(&x);
emxFree_real_T(&y);
}
/*
* File trailer for interp1.c
*
* [EOF]
*/
|
ft.c | /*--------------------------------------------------------------------
NAS Parallel Benchmarks 2.3 OpenMP C versions - FT
This benchmark is an OpenMP C version of the NPB FT code.
The OpenMP C versions are developed by RWCP and derived from the serial
Fortran versions in "NPB 2.3-serial" developed by NAS.
Permission to use, copy, distribute and modify this software for any
purpose with or without fee is hereby granted.
This software is provided "as is" without express or implied warranty.
Send comments on the OpenMP C versions to pdp-openmp@rwcp.or.jp
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
--------------------------------------------------------------------*/
#include "npb-C.h"
/* global variables */
#include "global.h"
/* function declarations */
static void compute_initial_conditions (double u0_r[NTOTAL],
double u0_i[NTOTAL]);
static void ipow46 (double a, int exponent, double *result);
static void setup (void);
static void print_timers (void);
static void fft (int dir, double x1_r[NTOTAL], double x1_i[NTOTAL],
double x2_r[NTOTAL], double x2_i[NTOTAL]);
static void fft_init (int n);
static void cfftz (int is, int m, int n, double x_r[NTOTAL],
double x_i[NTOTAL], double y_r[NTOTAL], double y_i[NTOTAL],
int di1, int di2);
static void fftz2 (int is, int l, int m, int n,
double u_r[NX], double u_i[NX],
double x_r[NTOTAL], double x_i[NTOTAL],
double y_r[NTOTAL], double y_i[NTOTAL],
int di1, int di2);
static int ilog2 (int n);
static void verify (int d1, int d2, int d3, int nt,
boolean * verified, char *classT);
/*--------------------------------------------------------------------
c FT benchmark
c-------------------------------------------------------------------*/
int
main (int argc, char **argv)
{
/*c-------------------------------------------------------------------
c-------------------------------------------------------------------*/
int i_main, 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 double u0_r[NTOTAL]; //u0_r[NZ][NY][NX];
static double u0_i[NTOTAL]; //u0_i[NZ][NY][NX];
static double u1_r[NTOTAL]; //u1_r[NZ][NY][NX];
static double u1_i[NTOTAL]; //u1_i[NZ][NY][NX];
static double u2_r[NTOTAL]; //u2_r[NZ][NY][NX];
static double u2_i[NTOTAL]; //u2_i[NZ][NY][NX];
static int indexmap[NTOTAL]; //indexmap[NZ][NY][NX];
int iter;
int nthreads = 1;
double total_time, mflops;
boolean verified;
char classT;
//////////////////////////////////
// Used for compute_indexmap(). //
//////////////////////////////////
int i, j, k, ii, ii2, jj, ij2, kk;
int m;
double ap;
////////////////////////
// Used for evolve(). //
////////////////////////
//int i, j, k;
//////////////////////////
// Used for checksum(). //
//////////////////////////
//int m, j,
int q, r, s;
double chk_r, chk_i;
/////////////////////
// Used for fft(). //
/////////////////////
int dir;
static double y0_r[NTOTAL];
static double y0_i[NTOTAL];
static double y1_r[NTOTAL];
static double y1_i[NTOTAL];
int logNX, logNY, logNZ;
///////////////////////
//Used for cffts1(). //
///////////////////////
//int i, j, k, jj, m;
int id;
int is;
///////////////////////
// Used for cfftz(). //
///////////////////////
int l;
///////////////////////
// Used for fftz2(). //
///////////////////////
int k_fftz2, n1, li, lj, lk, ku, i_fftz2, i11, i12, i21, i22;
double u1_rf, x11_r, x21_r;
double u1_if, x11_i, x21_i;
int idx, p, nn;
double x11real, x11imag, x21real, x21imag;
/*--------------------------------------------------------------------
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_main = 0; i_main < T_MAX; i_main++)
{
timer_clear (i_main);
}
setup ();
{
//compute_indexmap (indexmap);
/*--------------------------------------------------------------------
c compute function from local (i,j,k) to ibar^2+jbar^2+kbar^2
c for time evolution exponent.
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
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 acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
ii = (i + NX / 2) % NX - NX / 2;
ii2 = ii * ii;
jj = (j + NY / 2) % NY - NY / 2;
ij2 = jj * jj + ii2;
kk = (k + NZ / 2) % NZ - NZ / 2;
indexmap[m] = 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];
}
} /* end single */
{
compute_initial_conditions (u1_r, u1_i);
fft_init (dims[0][0]);
}
fft (1, u1_r, u1_i, u0_r, u0_i);
} /* end parallel */
/*--------------------------------------------------------------------
c Start over from the beginning. Note that all operations must
c be timed, in contrast to other benchmarks.
c-------------------------------------------------------------------*/
for (i_main = 0; i_main < T_MAX; i_main++)
{
timer_clear (i_main);
}
timer_start (T_TOTAL);
if (TIMERS_ENABLED == TRUE)
timer_start (T_SETUP);
//#pragma omp parallel private(iter) firstprivate(niter)
#pragma acc data \
create(ex[0:EXPMAX+1]) \
create(indexmap[0:NTOTAL]) \
create(u_r[0:NX], u_i[0:NX]) \
create(u1_r[0:NTOTAL], u1_i[0:NTOTAL]) \
create(u0_r[0:NTOTAL], u0_i[0:NTOTAL]) \
create(u2_r[0:NTOTAL], u2_i[0:NTOTAL]) \
create(y0_r[0:NTOTAL], y0_i[0:NTOTAL]) \
create(y1_r[0:NTOTAL], y1_i[0:NTOTAL])
{
//compute_indexmap (indexmap);
/*--------------------------------------------------------------------
c compute function from local (i,j,k) to ibar^2+jbar^2+kbar^2
c for time evolution exponent.
c-------------------------------------------------------------------*/
/*--------------------------------------------------------------------
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 acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
ii = (i + NX / 2) % NX - NX / 2;
ii2 = ii * ii;
jj = (j + NY / 2) % NY - NY / 2;
ij2 = jj * jj + ii2;
kk = (k + NZ / 2) % NZ - NZ / 2;
indexmap[m] = 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];
}
} /* end single */
#pragma acc update device(ex[0:EXPMAX+1])
{
compute_initial_conditions (u1_r, u1_i);
fft_init (dims[0][0]);
}
#pragma acc update device(u_r[0:NX], u_i[0:NX], \
u1_r[0:NTOTAL], u1_i[0:NTOTAL])
if (TIMERS_ENABLED == TRUE)
{
timer_stop (T_SETUP);
}
if (TIMERS_ENABLED == TRUE)
{
timer_start (T_FFT);
}
//fft (1, u1_r, u1_i, u0_r, u0_i);
//START_FFT//
dir = 1;
logNX = ilog2(NX);
logNY = ilog2(NY);
logNZ = ilog2(NZ);
/*--------------------------------------------------------------------
c note: args u1, 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, logNX, u1_r, u1_i, u1_r, u1_i, y0_r, y0_i, y1_r, y1_i); /* u1 -> u1 */
is = 1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
y0_r[id] = u1_r[m];
y0_i[id] = u1_i[m];
}
//cfftz (is, logNX, NX, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNX; l += 2)
{
//fftz2 (is, l, logNX, NX, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNX - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNX)
break;
//fftz2 (is, l + 1, logNX, NX, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNX - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNX % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
u1_r[m] = y1_r[id];
u1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
u1_r[m] = y0_r[id];
u1_i[m] = y0_i[id];
}
}
//cffts2 (1, logNY, u1_r, u1_i, u1_r, u1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = 1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
y0_r[id] = u1_r[m];
y0_i[id] = u1_i[m];
}
//cfftz (is, logNY, NY, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNY; l += 2)
{
//fftz2 (is, l, logNY, NY, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNY - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNY)
break;
//fftz2 (is, l + 1, logNY, NY, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNY - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNY % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
u1_r[m] = y1_r[id];
u1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
u1_r[m] = y0_r[id];
u1_i[m] = y0_i[id];
}
}
//cffts3 (1, logNZ, u1_r, u1_i, u0_r, u0_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x2 */
is = 1;
//cfftz (is, logNZ, NZ, u1_r, u1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNZ; l += 2)
{
//fftz2 (is, l, logNZ, NZ, u_r, u_i, u1_r, u1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNZ - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = u1_r[i11 + p];
x11imag = u1_i[i11 + p];
x21real = u1_r[i12 + p];
x21imag = u1_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNZ)
break;
//fftz2 (is, l + 1, logNZ, NZ, u_r, u_i, y1_r, y1_i, u1_r, u1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNZ - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
u1_r[i21 + p] = x11real + x21real;
u1_i[i21 + p] = x11imag + x21imag;
u1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
u1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNZ % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
u0_r[m] = y1_r[m];
u0_i[m] = y1_i[m];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
u0_r[m] = u1_r[m];
u0_i[m] = u1_i[m];
}
}
}
else
{
//cffts3 (-1, logNZ, u1_r, u1_i, u1_r, u1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = -1;
//cfftz (is, logNZ, NZ, u1_r, u1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNZ; l += 2)
{
//fftz2 (is, l, logNZ, NZ, u_r, u_i, u1_r, u1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNZ - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = u1_r[i11 + p];
x11imag = u1_i[i11 + p];
x21real = u1_r[i12 + p];
x21imag = u1_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNZ)
break;
//fftz2 (is, l + 1, logNZ, NZ, u_r, u_i, y1_r, y1_i, u1_r, u1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNZ - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
u1_r[i21 + p] = x11real + x21real;
u1_i[i21 + p] = x11imag + x21imag;
u1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
u1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNZ % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
u1_r[m] = y1_r[m];
u1_i[m] = y1_i[m];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
u1_r[m] = u1_r[m];
u1_i[m] = u1_i[m];
}
}
//cffts2 (-1, logNY, u1_r, u1_i, u1_r, u1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = -1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
y0_r[id] = u1_r[m];
y0_i[id] = u1_i[m];
}
//cfftz (is, logNY, NY, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNY; l += 2)
{
//fftz2 (is, l, logNY, NY, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNY - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNY)
break;
//fftz2 (is, l + 1, logNY, NY, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNY - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNY % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
u1_r[m] = y1_r[id];
u1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
u1_r[m] = y0_r[id];
u1_i[m] = y0_i[id];
}
}
//cffts1 (-1, logNX, u1_r, u1_i, u0_r, u0_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x2 */
is = -1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
y0_r[id] = u1_r[m];
y0_i[id] = u1_i[m];
}
//cfftz (is, logNX, NX, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNX; l += 2)
{
//fftz2 (is, l, logNX, NX, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNX - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNX)
break;
//fftz2 (is, l + 1, logNX, NX, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNX - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNX % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
u0_r[m] = y1_r[id];
u0_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
u0_r[m] = y0_r[id];
u0_i[m] = y0_i[id];
}
}
}
}
//END_FFT//
if (TIMERS_ENABLED == TRUE)
{
timer_stop (T_FFT);
}
for (iter = 1; iter <= niter; iter++)
{
if (TIMERS_ENABLED == TRUE)
{
timer_start (T_EVOLVE);
}
//evolve (u0_r, u0_i, u1_r, u1_i, iter, indexmap);
/*--------------------------------------------------------------------
c evolve u0 -> u1 (iter time steps) in fourier space
c-------------------------------------------------------------------*/
#pragma acc kernels loop gang worker independent
for (i = 0; i < NTOTAL; i++)
{
u1_r[i] = u0_r[i] * ex[iter * indexmap[i]];
u1_i[i] = u0_i[i] * ex[iter * indexmap[i]];
}
if (TIMERS_ENABLED == TRUE)
{
timer_stop (T_EVOLVE);
}
if (TIMERS_ENABLED == TRUE)
{
timer_start (T_FFT);
}
//fft (-1, u1_r, u1_i, u2_r, u2_i);
//START_FFT//
dir = -1;
logNX = ilog2(NX);
logNY = ilog2(NY);
logNZ = ilog2(NZ);
/*--------------------------------------------------------------------
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, logNX, u1_r, u1_i, u1_r, u1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = 1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
y0_r[id] = u1_r[m];
y0_i[id] = u1_i[m];
}
//cfftz (is, logNX, NX, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNX; l += 2)
{
//fftz2 (is, l, logNX, NX, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNX - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNX)
break;
//fftz2 (is, l + 1, logNX, NX, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNX - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNX % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
u1_r[m] = y1_r[id];
u1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
u1_r[m] = y0_r[id];
u1_i[m] = y0_i[id];
}
}
//cffts2 (1, logNY, u1_r, u1_i, u1_r, u1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = 1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
y0_r[id] = u1_r[m];
y0_i[id] = u1_i[m];
}
//cfftz (is, logNY, NY, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNY; l += 2)
{
//fftz2 (is, l, logNY, NY, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNY - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNY)
break;
//fftz2 (is, l + 1, logNY, NY, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNY - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNY % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
u1_r[m] = y1_r[id];
u1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
u1_r[m] = y0_r[id];
u1_i[m] = y0_i[id];
}
}
//cffts3 (1, logNZ, u1_r, u1_i, u2_r, u2_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x2 */
is = 1;
//cfftz (is, logNZ, NZ, u1_r, u1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNZ; l += 2)
{
//fftz2 (is, l, logNZ, NZ, u_r, u_i, u1_r, u1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNZ - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = u1_r[i11 + p];
x11imag = u1_i[i11 + p];
x21real = u1_r[i12 + p];
x21imag = u1_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNZ)
break;
//fftz2 (is, l + 1, logNZ, NZ, u_r, u_i, y1_r, y1_i, u1_r, u1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNZ - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
u1_r[i21 + p] = x11real + x21real;
u1_i[i21 + p] = x11imag + x21imag;
u1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
u1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNZ % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
u2_r[m] = y1_r[m];
u2_i[m] = y1_i[m];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
u2_r[m] = u1_r[m];
u2_i[m] = u1_i[m];
}
}
}
else
{
//cffts3 (-1, logNZ, u1_r, u1_i, u1_r, u1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = -1;
//cfftz (is, logNZ, NZ, u1_r, u1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNZ; l += 2)
{
//fftz2 (is, l, logNZ, NZ, u_r, u_i, u1_r, u1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNZ - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = u1_r[i11 + p];
x11imag = u1_i[i11 + p];
x21real = u1_r[i12 + p];
x21imag = u1_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNZ)
break;
//fftz2 (is, l + 1, logNZ, NZ, u_r, u_i, y1_r, y1_i, u1_r, u1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNZ - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
u1_r[i21 + p] = x11real + x21real;
u1_i[i21 + p] = x11imag + x21imag;
u1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
u1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNZ % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
u1_r[m] = y1_r[m];
u1_i[m] = y1_i[m];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
u1_r[m] = u1_r[m];
u1_i[m] = u1_i[m];
}
}
//cffts2 (-1, logNY, u1_r, u1_i, u1_r, u1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = -1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
y0_r[id] = u1_r[m];
y0_i[id] = u1_i[m];
}
//cfftz (is, logNY, NY, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNY; l += 2)
{
//fftz2 (is, l, logNY, NY, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNY - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNY)
break;
//fftz2 (is, l + 1, logNY, NY, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNY - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNY % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
u1_r[m] = y1_r[id];
u1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
u1_r[m] = y0_r[id];
u1_i[m] = y0_i[id];
}
}
//cffts1 (-1, logNX, u1_r, u1_i, u2_r, u2_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x2 */
is = -1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
y0_r[id] = u1_r[m];
y0_i[id] = u1_i[m];
}
//cfftz (is, logNX, NX, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNX; l += 2)
{
//fftz2 (is, l, logNX, NX, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNX - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNX)
break;
//fftz2 (is, l + 1, logNX, NX, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNX - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNX % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
u2_r[m] = y1_r[id];
u2_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
u2_r[m] = y0_r[id];
u2_i[m] = y0_i[id];
}
}
}
}
//END_FFT//
if (TIMERS_ENABLED == TRUE)
{
timer_stop (T_FFT);
}
if (TIMERS_ENABLED == TRUE)
{
timer_start (T_CHECKSUM);
}
//checksum (iter, u2_r, u2_i, dims[0]);
chk_r = 0.0;
chk_i = 0.0;
#pragma acc kernels loop gang worker independent
for(m = 0; m < 1024; m++){
j = 1+m;
q = j%NX;
if (q >= 0 && q < NX) {
r = (3*j)%NY;
if (r >= 0 && r < NY) {
s = (5*j)%NZ;
if (s >= 0 && s < NZ) {
chk_r = chk_r + u2_r[s*NY*NX + r*NX + q];
chk_i = chk_i + u2_i[s*NY*NX + r*NX + q];
}
}
}
}
//printf("chk_r = %22.12e, chk_i =%22.12e\n", chk_r, chk_i);
{
sums_r[iter] += chk_r;
sums_i[iter] += chk_i;
}
{
sums_r[iter] = sums_r[iter] / (double) (NTOTAL);
sums_i[iter] = sums_i[iter] / (double) (NTOTAL);
printf ("T = %5d Checksum = %22.12e %22.12e\n",
iter, sums_r[iter], sums_i[iter]);
}
if (TIMERS_ENABLED == TRUE)
{
timer_stop (T_CHECKSUM);
}
}
verify (NX, NY, NZ, niter, &verified, &classT);
#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", classT, 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 ();
return 0;
}
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static void
compute_initial_conditions (double u0_r[NTOTAL], double u0_i[NTOTAL])
{
/*--------------------------------------------------------------------
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 < NZ; k++)
{
x0 = start;
vranlc (2 * NX * NY, &x0, A, tmp);
t = 1;
for (j = 0; j < NY; j++)
for (i = 0; i < NX; i++)
{
u0_r[k * NY * NX + j * NX + i] = tmp[t++];
u0_i[k * NY * NX + j * NX + i] = tmp[t++];
}
if (k != NZ)
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 2.3 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. ')*/
for (i = 0; i < 3; i++)
{
dims[i][0] = NX;
dims[i][1] = NY;
dims[i][2] = NZ;
}
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
print_timers (void)
{
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
int i;
const 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, double x1_r[NTOTAL], double x1_i[NTOTAL],
double x2_r[NTOTAL], double x2_i[NTOTAL])
{
/*--------------------------------------------------------------------
c-------------------------------------------------------------------*/
static double y0_r[NTOTAL];
static double y0_i[NTOTAL];
static double y1_r[NTOTAL];
static double y1_i[NTOTAL];
int logNX, logNY, logNZ;
///////////////////////
//Used for cffts1(). //
///////////////////////
int i, j, k, jj;
int m, id;
int is;
///////////////////////
// Used for cfftz(). //
///////////////////////
int l;
///////////////////////
// Used for fftz2(). //
///////////////////////
int k_fftz2, n1, li, lj, lk, ku, i_fftz2, i11, i12, i21, i22;
double u1_rf, x11_r, x21_r;
double u1_if, x11_i, x21_i;
int idx, p, nn;
double x11real, x11imag, x21real, x21imag;
//START_FFT//
logNX = ilog2(NX);
logNY = ilog2(NY);
logNZ = ilog2(NZ);
/*--------------------------------------------------------------------
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-------------------------------------------------------------------*/
#pragma acc data \
copyin(u_r[0:NX], u_i[0:NX]) \
copy(x1_r[0:NTOTAL], x1_i[0:NTOTAL]) \
copyout(x2_r[0:NTOTAL], x2_i[0:NTOTAL]) \
create(y0_r[0:NTOTAL], y0_i[0:NTOTAL]) \
create(y1_r[0:NTOTAL], y1_i[0:NTOTAL])
{
if (dir == 1)
{
//cffts1 (1, logNX, x1_r, x1_i, x1_r, x1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = 1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
y0_r[id] = x1_r[m];
y0_i[id] = x1_i[m];
}
//cfftz (is, logNX, NX, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNX; l += 2)
{
//fftz2 (is, l, logNX, NX, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNX - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNX)
break;
//fftz2 (is, l + 1, logNX, NX, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNX - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNX % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
x1_r[m] = y1_r[id];
x1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
x1_r[m] = y0_r[id];
x1_i[m] = y0_i[id];
}
}
//cffts2 (1, logNY, x1_r, x1_i, x1_r, x1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = 1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
y0_r[id] = x1_r[m];
y0_i[id] = x1_i[m];
}
//cfftz (is, logNY, NY, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNY; l += 2)
{
//fftz2 (is, l, logNY, NY, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNY - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNY)
break;
//fftz2 (is, l + 1, logNY, NY, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNY - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNY % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
x1_r[m] = y1_r[id];
x1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
x1_r[m] = y0_r[id];
x1_i[m] = y0_i[id];
}
}
//cffts3 (1, logNZ, x1_r, x1_i, x2_r, x2_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x2 */
is = 1;
//cfftz (is, logNZ, NZ, x1_r, x1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNZ; l += 2)
{
//fftz2 (is, l, logNZ, NZ, u_r, u_i, x1_r, x1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNZ - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = x1_r[i11 + p];
x11imag = x1_i[i11 + p];
x21real = x1_r[i12 + p];
x21imag = x1_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNZ)
break;
//fftz2 (is, l + 1, logNZ, NZ, u_r, u_i, y1_r, y1_i, x1_r, x1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNZ - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
x1_r[i21 + p] = x11real + x21real;
x1_i[i21 + p] = x11imag + x21imag;
x1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
x1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNZ % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
x2_r[m] = y1_r[m];
x2_i[m] = y1_i[m];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
x2_r[m] = x1_r[m];
x2_i[m] = x1_i[m];
}
}
}
else
{
//cffts3 (-1, logNZ, x1_r, x1_i, x1_r, x1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = -1;
//cfftz (is, logNZ, NZ, x1_r, x1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNZ; l += 2)
{
//fftz2 (is, l, logNZ, NZ, u_r, u_i, x1_r, x1_i, y1_r, y1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNZ - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = x1_r[i11 + p];
x11imag = x1_i[i11 + p];
x21real = x1_r[i12 + p];
x21imag = x1_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNZ)
break;
//fftz2 (is, l + 1, logNZ, NZ, u_r, u_i, y1_r, y1_i, x1_r, x1_i, NX, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NZ; idx++)
{
n1 = NZ / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNZ - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNZ - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
x1_r[i21 + p] = x11real + x21real;
x1_i[i21 + p] = x11imag + x21imag;
x1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
x1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNZ % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
x1_r[m] = y1_r[m];
x1_i[m] = y1_i[m];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
x1_r[m] = x1_r[m];
x1_i[m] = x1_i[m];
}
}
//cffts2 (-1, logNY, x1_r, x1_i, x1_r, x1_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x1 */
is = -1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
y0_r[id] = x1_r[m];
y0_i[id] = x1_i[m];
}
//cfftz (is, logNY, NY, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNY; l += 2)
{
//fftz2 (is, l, logNY, NY, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNY - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNY)
break;
//fftz2 (is, l + 1, logNY, NY, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NX, NZ);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NX * NZ; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NY; idx++)
{
n1 = NY / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNY - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNY - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNY % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
x1_r[m] = y1_r[id];
x1_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = j * NX * NZ + k * NX + i;
x1_r[m] = y0_r[id];
x1_i[m] = y0_i[id];
}
}
//cffts1 (-1, logNX, x1_r, x1_i, x2_r, x2_i, y0_r, y0_i, y1_r, y1_i); /* x1 -> x2 */
is = -1;
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
y0_r[id] = x1_r[m];
y0_i[id] = x1_i[m];
}
//cfftz (is, logNX, NX, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Perform one variant of the Stockham FFT.
c-------------------------------------------------------------------*/
for (l = 1; l <= logNX; l += 2)
{
//fftz2 (is, l, logNX, NX, u_r, u_i, y0_r, y0_i, y1_r, y1_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l - 1 == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l - 1) - 1);
}
if (logNX - l == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - l) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y0_r[i11 + p];
x11imag = y0_i[i11 + p];
x21real = y0_r[i12 + p];
x21imag = y0_i[i12 + p];
y1_r[i21 + p] = x11real + x21real;
y1_i[i21 + p] = x11imag + x21imag;
y1_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y1_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
if (l == logNX)
break;
//fftz2 (is, l + 1, logNX, NX, u_r, u_i, y1_r, y1_i, y0_r, y0_i, NZ, NY);
/*--------------------------------------------------------------------
c Set initial parameters.
c-------------------------------------------------------------------*/
nn = NZ * NY; //number of threads
#pragma acc kernels loop gang worker independent
for (idx = 0; idx < NTOTAL / NX; idx++)
{
n1 = NX / 2;
if (l == 0)
{
lk = 1;
}
else
{
lk = 2 << ((l) - 1);
}
if (logNX - (l+1) == 0)
{
li = 1;
}
else
{
li = 2 << ((logNX - (l+1)) - 1);
}
lj = 2 * lk;
ku = li;
for (i_fftz2 = 0; i_fftz2 < li; i_fftz2++)
{
i11 = idx + i_fftz2 * lk * nn;
i12 = i11 + n1 * nn;
i21 = idx + i_fftz2 * lj * nn;
i22 = i21 + lk * nn;
if (is >= 1)
{
u1_rf = u_r[ku + i_fftz2];
u1_if = u_i[ku + i_fftz2];
}
else
{
u1_rf = u_r[ku + i_fftz2];
u1_if = -u_i[ku + i_fftz2];
}
/*--------------------------------------------------------------------
c This loop is vectorizable.
c-------------------------------------------------------------------*/
for (k_fftz2 = 0; k_fftz2 < lk; k_fftz2++)
{
p = k_fftz2 * nn;
x11real = y1_r[i11 + p];
x11imag = y1_i[i11 + p];
x21real = y1_r[i12 + p];
x21imag = y1_i[i12 + p];
y0_r[i21 + p] = x11real + x21real;
y0_i[i21 + p] = x11imag + x21imag;
y0_r[i22 + p] =
u1_rf * (x11real - x21real) - u1_if * (x11imag - x21imag);
y0_i[i22 + p] =
u1_rf * (x11imag - x21imag) + u1_if * (x11real - x21real);
}
}
}
}
if (logNX % 2 == 1)
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
x2_r[m] = y1_r[id];
x2_i[m] = y1_i[id];
}
}
else
{
#pragma acc kernels loop gang worker independent
for (m = 0; m < NTOTAL; m++)
{
i = m % NX;
k = m / NX;
j = k % NY;
k = k / NY;
id = i * NZ * NY + j * NZ + k;
x2_r[m] = y0_r[id];
x2_i[m] = y0_i[id];
}
}
}
}
//END_FFT//
}
/*--------------------------------------------------------------------
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_r[0] = (double) m;
u_i[0] = 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_r[i + ku] = cos (ti);
u_i[i + ku] = sin (ti);
}
ku = ku + ln;
ln = 2 * ln;
}
}
/*--------------------------------------------------------------------
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
verify (int d1, int d2, int d3, int nt, boolean * verified, char *classT)
{
/*--------------------------------------------------------------------
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;
*classT = 'U';
if (d1 == 64 && d2 == 64 && d3 == 64 && nt == 6)
{
*classT = 'S';
for (i = 1; i <= nt; i++)
{
err = (sums_r[i] - vdata_real_s[i]) / vdata_real_s[i];
if (fabs (err) > epsilon)
{
*verified = FALSE;
break;
}
err = (sums_i[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)
{
*classT = 'W';
for (i = 1; i <= nt; i++)
{
err = (sums_r[i] - vdata_real_w[i]) / vdata_real_w[i];
if (fabs (err) > epsilon)
{
*verified = FALSE;
break;
}
err = (sums_i[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)
{
*classT = 'A';
for (i = 1; i <= nt; i++)
{
err = (sums_r[i] - vdata_real_a[i]) / vdata_real_a[i];
if (fabs (err) > epsilon)
{
*verified = FALSE;
break;
}
err = (sums_i[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)
{
*classT = 'B';
for (i = 1; i <= nt; i++)
{
err = (sums_r[i] - vdata_real_b[i]) / vdata_real_b[i];
if (fabs (err) > epsilon)
{
*verified = FALSE;
break;
}
err = (sums_i[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)
{
*classT = 'C';
for (i = 1; i <= nt; i++)
{
err = (sums_r[i] - vdata_real_c[i]) / vdata_real_c[i];
if (fabs (err) > epsilon)
{
*verified = FALSE;
break;
}
err = (sums_i[i] - vdata_imag_c[i]) / vdata_imag_c[i];
if (fabs (err) > epsilon)
{
*verified = FALSE;
break;
}
}
}
if (*classT != 'U')
{
printf ("Result verification successful\n");
}
else
{
printf ("Result verification failed\n");
}
printf ("class = %1c\n", *classT);
}
|
GB_unop__identity_int32_int8.c | //------------------------------------------------------------------------------
// GB_unop: hard-coded functions for each built-in unary operator
//------------------------------------------------------------------------------
// SuiteSparse:GraphBLAS, Timothy A. Davis, (c) 2017-2020, All Rights Reserved.
// http://suitesparse.com See GraphBLAS/Doc/License.txt for license.
//------------------------------------------------------------------------------
// If this file is in the Generated/ folder, do not edit it (auto-generated).
#include "GB.h"
#ifndef GBCOMPACT
#include "GB_control.h"
#include "GB_unop__include.h"
// C=unop(A) is defined by the following types and operators:
// op(A) function: GB_unop_apply__identity_int32_int8
// op(A') function: GB_unop_tran__identity_int32_int8
// C type: int32_t
// A type: int8_t
// cast: int32_t cij = (int32_t) aij
// unaryop: cij = aij
#define GB_ATYPE \
int8_t
#define GB_CTYPE \
int32_t
// aij = Ax [pA]
#define GB_GETA(aij,Ax,pA) \
int8_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) \
int32_t z = (int32_t) aij ;
// cij = op (aij)
#define GB_CAST_OP(pC,pA) \
{ \
/* aij = Ax [pA] */ \
int8_t aij = Ax [pA] ; \
/* Cx [pC] = op (cast (aij)) */ \
int32_t z = (int32_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_INT32 || GxB_NO_INT8)
//------------------------------------------------------------------------------
// Cx = op (cast (Ax)): apply a unary operator
//------------------------------------------------------------------------------
GrB_Info GB_unop_apply__identity_int32_int8
(
int32_t *Cx, // Cx and Ax may be aliased
const int8_t *Ax,
int64_t anz,
int nthreads
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
int64_t p ;
#pragma omp parallel for num_threads(nthreads) schedule(static)
for (p = 0 ; p < anz ; p++)
{
int8_t aij = Ax [p] ;
int32_t z = (int32_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_int32_int8
(
GrB_Matrix C,
const GrB_Matrix A,
int64_t *GB_RESTRICT *Rowcounts,
GBI_single_iterator Iter,
const int64_t *GB_RESTRICT A_slice,
int naslice
)
{
#if GB_DISABLE
return (GrB_NO_VALUE) ;
#else
#define GB_PHASE_2_OF_2
#include "GB_unop_transpose.c"
return (GrB_SUCCESS) ;
#endif
}
#endif
|
utilities.c | //
// MIT license
//
// Copyright (c) 2019 Advanced Micro Devices, Inc. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
//
#include <math.h>
#if !defined(__APPLE__) && !defined(__MACOSX)
#include <omp.h>
#endif
int DirectConv(float * out, float * in, int index, int block_sz, float * kernel, int kernel_sz, int n_blocks)
{
int ret = 0;
int b, j, c;
int in_sz = n_blocks * block_sz;
#pragma omp parallel for private(j,c)
for (b = 0; b < block_sz; b++) {
out[b] = 0;
double o = 0;
// limited by real kernel length
for (j = index * block_sz + b, c = 0; c < kernel_sz; c++, j--) {
j = (j < 0) ? in_sz - 1 : j;
o += in[j] * kernel[c];
}
out[b] = (float)o;
}
return ret;
}
#if 0
const bool use_pattern = false;
static
int InsertInput(void *input_hist, int index, void * data, int data_ln) {
int err = 0;
float * coeff = (float*)(data);
float * in_hist = (float*)input_hist + index * data_ln;
memcpy(in_hist, data, data_ln * sizeof(float));
return err;
}
static int adder = 0;
static
int GenRandomInput(void * data, int input_data_ln, int data_ln) {
int err = 0;
float * coeff = (float*)(data);
memset(coeff, 0, data_ln*sizeof(float));
for (int i = 0; i < input_data_ln; i++) {
/*
if ( i > 0 )
{
coeff[i] = 0;
continue;
}
*/
coeff[i] = (2.0f * (float)rand() / (float)RAND_MAX - 1.0f);
}
// adder++;
return err;
}
static
int GenPatternInput(void * data, int input_data_ln, int data_ln, int offset)
{
float *out = (float*)data;
memset(out, 0, data_ln*sizeof(float));
for (int i = 0; i < input_data_ln; i++)
{
out[i] = i + offset;
}
return 0;
}
static
int GenRandomFilter(void * filter, int filter_ln) {
int err = 0;
float * coeff = (float*)(filter);
double norm2 = 0;
for(int i = 0; i < filter_ln; i++ ) {
// if (i< filter_ln - 64 * 2 + 1)
{
coeff[i] = (2.f * (float)rand() / (float)RAND_MAX - 1.0f);
}
#if 0
else
{
coeff[i] = 0;
}
#endif
// norm2 += coeff[i] * coeff[i];
}
/*
for(int i = 0; i < filter_ln; i++ ) {
coeff[i] /= norm2;
}
*/
return err;
}
#if 0
void fillInput( std::vector<float*> inputs,
std::vector<float*> input_accum,
std::vector<int> n_input_accum_blcks,
std::vector<void *> kernels_ptrs,
std::vector<int> kernel_len,
std::vector<float*> outputs_v,
int proc_block_sz,
__int64 p_count,
int verify)
{
static int round = 0;
for(int i = 0; i < inputs.size(); i++)
{
GenRandomInput(inputs[i], proc_block_sz);
if ( verify == 1 )
{
int index = (int)(p_count % n_input_accum_blcks[i]);
InsertInput(input_accum[i], index, inputs[i], proc_block_sz);
DirectConv(outputs_v[i], input_accum[i], index, proc_block_sz,(float*)kernels_ptrs[i],kernel_len[i],n_input_accum_blcks[i]);
}
}
round++;
}
#endif
/*-----------------------------------------------------------------------------------------------
conv kernel upload
------------------------------------------------------------------------------------------------*/
typedef struct _upload_thread2{
__int64 *upload_count;
double *uploading_time;
int n_channels;
int kernel_upload_buffers;
graal::CGraalConv * fhtConv;
std::vector<void *> *kernels_ptrs;
std::vector<int> *kernel_len;
std::vector<int> *upload_id;
std::vector<int> *kernel_id;
std::vector<cl_mem> *kernel_mems;
int *eo_upload_signal;
} upload_thread2;
typedef struct _upload_thread{
__int64 upload_count;
double uploading_time;
int method;
int n_delays_onconv_switch;
int n_channels;
int n_sets;
int curr_set;
int prev_set;
int onconv_switch_delay_counter;
int kernel_upload_buffers;
int single_threaded;
graal::CGraalConv * fhtConv;
std::vector<std:: vector<void *>> kernels_ptrs;
std::vector<std:: vector<int>> kernel_len;
std::vector<std::vector<cl_mem>> kernel_mems;
std::vector<std::vector<int>> upload_id;
std::vector<std::vector<int>> kernel_id;
std::vector<int> eo_upload;
std::vector<pthread_mutex_t> conv_updt_guard; // prevent conv update while teh conv still in use with the process call
int eo_thread;
} upload_thread;
static
void convUpload(
__int64 &upload_count,
double & uploading_time,
int n_channels,
int kernel_upload_buffers,
graal::CGraalConv & fhtConv,
std::vector<void *> &kernels_ptrs,
std::vector<int> &kernel_len,
std::vector<int> &upload_id,
std::vector<int> &kernel_id,
std::vector<cl_mem> &kernel_mems,
pthread_mutex_t & conv_updt_guard
)
{
double t0, t1;
if (kernel_upload_buffers == 2 )
{
fhtConv.getConvBuffers(n_channels,&upload_id[0], &kernel_id[0], (float**)&kernels_ptrs[0]);
}
for(int i = 0; i < n_channels; i++)
{
if (use_pattern)
GenPatternInput(kernels_ptrs[i], kernel_len[i], kernel_len[i], 0);
else
GenRandomFilter(kernels_ptrs[i], kernel_len[i]);
}
if (kernel_upload_buffers == 1 )
{
// user managed OCL buffers
// this is an emulation
// a user manages OCL buffer and generate conv in time domain and upload into OCL buffers before hands
fhtConv.getConvBuffers(n_channels,&upload_id[0], &kernel_id[0], &kernel_mems[0]);
fhtConv.uploadConvHostPtrs(n_channels, &upload_id[0], &kernel_id[0], (const float**)&kernels_ptrs[0], &kernel_len[0], true);
}
if (kernel_upload_buffers == 3 )
{
// library managed OCL buffers
// called to obtain ocl buffers from Graal before user upload conv into them
fhtConv.getConvBuffers(n_channels,&upload_id[0], &kernel_id[0], &kernel_mems[0]);
fhtConv.uploadConvHostPtrs(n_channels, &upload_id[0], &kernel_id[0], (const float**)&kernels_ptrs[0], &kernel_len[0], true);
}
t0 = mach_absolute_time();
// pthread_mutex_lock(&conv_updt_guard);
if (kernel_upload_buffers == 0 )
{
// udate conv from host system ptrs
fhtConv.updateConvHostPtrs(n_channels, &upload_id[0], &kernel_id[0], (const float**)&kernels_ptrs[0], &kernel_len[0], true);
}
else if ( kernel_upload_buffers == 1 )
{
// update from user managed OCL buffers
fhtConv.updateConv(n_channels, &upload_id[0], &kernel_id[0], &kernel_mems[0], &kernel_len[0], true);
// fhtConv.finishUpdate();
}
else if ( kernel_upload_buffers == 2 )
{
// update from GPU-friendly host system ptrs
fhtConv.updateConv(n_channels, &upload_id[0], &kernel_id[0], (const float**)&kernels_ptrs[0], &kernel_len[0], true);
// fhtConv.finishUpdate();
}
else //( kernel_upload_buffers == 3 )
{
// update from lib managed buffers
fhtConv.updateConv(n_channels, &upload_id[0], &kernel_id[0], &kernel_len[0], true);
}
// pthread_mutex_unlock(&conv_updt_guard);
t1 = mach_absolute_time();
if ( upload_count > 0 )
{
uploading_time += subtractTimes(t1, t0);
}
upload_count++;
}
static
void * convUploadRoutine( void * _upload_ctl )
{
int set = 0;
upload_thread * upload_ctl = (upload_thread *)_upload_ctl;
do {
set = upload_ctl->curr_set;
set++;
set = (set >= upload_ctl->n_sets) ? 0 : set;
pthread_mutex_lock(&upload_ctl->conv_updt_guard[set]);
if (!upload_ctl->eo_upload[set])
{
for (int i = 0; i < upload_ctl->n_channels; i++)
{
upload_ctl->upload_id[set][i] = set;
}
convUpload(
upload_ctl->upload_count,
upload_ctl->uploading_time,
upload_ctl->n_channels,
upload_ctl->kernel_upload_buffers,
*upload_ctl->fhtConv,
upload_ctl->kernels_ptrs[set],
upload_ctl->kernel_len[set],
upload_ctl->upload_id[set],
upload_ctl->kernel_id[set],
upload_ctl->kernel_mems[set],
upload_ctl->conv_updt_guard[set]
);
upload_ctl->eo_upload[set] = 1;
upload_ctl->curr_set = set;
printf("upload set %d\n", set);
}
pthread_mutex_unlock(&upload_ctl->conv_updt_guard[set]);
if (!upload_ctl->single_threaded)
{
Sleep(100);
}
} while (!upload_ctl->eo_thread);
return (NULL);
}
/*------------------------------------------------------------------------------------------------
processing loop
-------------------------------------------------------------------------------------------------*/
static
void processingLoop(
upload_thread &upload_ctl,
__int64 & n_actual_loops,
double & processing_time,
int ext_verify,
int n_channels,
int input_block_sz,
int proc_block_sz,
int process_dev_buffers,
std::vector<std::vector<int>> &process_upload_id,
std::vector<std::vector<int>> &process_kernel_id,
std::vector<std::vector<float*>> &inputs,
std::vector<std::vector<float*>> &outputs,
std::vector<std::vector<int>> &n_input_accum_blcks,
std::vector<std::vector<float*>> &input_accum,
std::vector<std::vector<float*>> &outputs_v
)
{
double t0, t1;
int sample_mismatch = 0;
int set = upload_ctl.curr_set;
int prev_set = upload_ctl.prev_set;
graal::CGraalConv & fhtConv = *upload_ctl.fhtConv;
std::vector<void *> &kernels_ptrs = upload_ctl.kernels_ptrs[set];
std::vector<int> &kernel_len = upload_ctl.kernel_len[set];
pthread_mutex_t & conv_updt_guard = upload_ctl.conv_updt_guard[set];
for( int c = 0; c < n_channels && !sample_mismatch; c++)
{
if (use_pattern)
GenPatternInput(inputs[0][c], input_block_sz, proc_block_sz, c * 10000);
else
// GenRandomInput(inputs[0][c], proc_block_sz);
GenRandomInput(inputs[0][c], input_block_sz, proc_block_sz);
}
t0 = mach_absolute_time();
int n_real_rounds = 0;
// precompute cpu version
if (ext_verify)
{
for (int c = 0; c < n_channels && !sample_mismatch; c++)
{
int uploadId = process_upload_id[set][c];
int convId = process_kernel_id[set][c];
n_real_rounds = fhtConv.getRoundCounter(0, convId);
int index = (int)(n_real_rounds % n_input_accum_blcks[uploadId][convId]);
InsertInput(input_accum[0][convId], index, inputs[0][c], proc_block_sz);
if (set == prev_set)
{
DirectConv(outputs_v[set][c], input_accum[0][convId], index, proc_block_sz, (float*)kernels_ptrs[c], kernel_len[c], n_input_accum_blcks[uploadId][convId]);
}
else
{
switch (upload_ctl.method)
{
case graal::ALG_UNIFORMED:
default:
DirectConv(outputs_v[prev_set][c], input_accum[0][convId], index, proc_block_sz, (float*)upload_ctl.kernels_ptrs[prev_set][c], upload_ctl.kernel_len[prev_set][c], n_input_accum_blcks[uploadId][convId]);
DirectConv(outputs_v[set][c], input_accum[0][convId], index, proc_block_sz, (float*)kernels_ptrs[c], kernel_len[c], n_input_accum_blcks[uploadId][convId]);
for (int i = 0; i < proc_block_sz; i++)
{
outputs_v[set][c][i] = (outputs_v[prev_set][c][i] * (float)i + outputs_v[set][c][i] * (float)(proc_block_sz - i)) / (float)proc_block_sz;
}
break;
case graal::ALG_UNI_HEAD_TAIL:
if (upload_ctl.onconv_switch_delay_counter == 0)
{
// additional previous run to get toa second stage
DirectConv(outputs_v[set][c], input_accum[0][convId], index, proc_block_sz, (float*)upload_ctl.kernels_ptrs[prev_set][c], upload_ctl.kernel_len[prev_set][c], n_input_accum_blcks[uploadId][convId]);
}
if (upload_ctl.onconv_switch_delay_counter == 1)
{
DirectConv(outputs_v[prev_set][c], input_accum[0][convId], index, proc_block_sz, (float*)upload_ctl.kernels_ptrs[prev_set][c], upload_ctl.kernel_len[prev_set][c], n_input_accum_blcks[uploadId][convId]);
DirectConv(outputs_v[set][c], input_accum[0][convId], index, proc_block_sz, (float*)kernels_ptrs[c], kernel_len[c], n_input_accum_blcks[uploadId][convId]);
#if 1
for (int i = 0; i < proc_block_sz; i++)
{
outputs_v[set][c][i] = (outputs_v[prev_set][c][i] * (float)i + outputs_v[set][c][i] * (float)(proc_block_sz - i)) / (float)proc_block_sz;
}
#endif
}
break;
}
}
}
}
pthread_mutex_lock(&conv_updt_guard);
if (set == prev_set)
{
fhtConv.process(n_channels, &process_upload_id[set][0], &process_kernel_id[set][0], &inputs[0][0], &outputs[set][0]);
}
else
{
switch (upload_ctl.method)
{
case graal::ALG_UNIFORMED:
default:
// prev conv, do not advance time
fhtConv.process(n_channels, &process_upload_id[prev_set][0], &process_kernel_id[prev_set][0], &inputs[0][0], &outputs[prev_set][0], 0, 0);
// new conv, previous input advance time
fhtConv.process(n_channels, &process_upload_id[set][0], &process_kernel_id[set][0], &inputs[0][0], &outputs[set][0], 1);
for (int c = 0; c < n_channels && !sample_mismatch; c++)
{
for (int i = 0; i < proc_block_sz; i++)
{
outputs[set][c][i] = (outputs[prev_set][c][i] * (float)i + outputs[set][c][i] * (float)(proc_block_sz - i)) / (float)proc_block_sz;
}
}
// free conv slot for the next upload
upload_ctl.prev_set = upload_ctl.curr_set;
upload_ctl.eo_upload[prev_set] = 0;
break;
case graal::ALG_UNI_HEAD_TAIL:
if (upload_ctl.onconv_switch_delay_counter == 0)
{
// previous conv run, return data, advance the internal Graal time
fhtConv.process(n_channels, &process_upload_id[prev_set][0], &process_kernel_id[prev_set][0], &inputs[0][0], &outputs[set][0]);
// new conv run, do not return data, skip the first (head ) stage, do not advance the timer : flash the previous switch state
fhtConv.process(n_channels, &process_upload_id[set][0], &process_kernel_id[set][0], &inputs[0][0], &outputs[prev_set][0], 1, 0/*, 1*/);
#if 0
if (ext_verify)
{
int sample_mismatch = 0;
for (int c = 0; c < n_channels && !sample_mismatch; c++)
{
for (int i = 0; i < proc_block_sz/* && !sample_mismatch*/; i++)
{
float c_val = outputs_v[set][c][i];
float g_val = outputs[set][c][i];
if (!_isnan(c_val) && !_isnan(g_val) && abs(c_val - g_val) > 0.01)
{
printf("Prev mismatch s=%d r=%d rr=%d c=%d i=%d c_v=%f g_v=%f\n", set, (int)n_actual_loops, n_real_rounds, c, i, c_val, g_val);
sample_mismatch = 1;
}
}
}
if (sample_mismatch) exit(0);
// print_interval = 2;
}
#endif
}
if (upload_ctl.onconv_switch_delay_counter == 1)
{
// last previous conv run, return data, do not advance the internal Graal time (skip 2nd stage)
fhtConv.process(n_channels, &process_upload_id[prev_set][0], &process_kernel_id[prev_set][0], &inputs[0][0], &outputs[prev_set][0], 0, 0);
// new conv run, return data, previous input, advance the timer
fhtConv.process(n_channels, &process_upload_id[set][0], &process_kernel_id[set][0], &inputs[0][0], &outputs[set][0],1);
#if 0
if (ext_verify)
{
int sample_mismatch = 0;
for( int c = 0; c < n_channels && !sample_mismatch; c++)
{
for(int i = 0; i < proc_block_sz/* && !sample_mismatch*/; i++)
{
float c_val = outputs_v[prev_set][c][i];
float g_val = outputs[prev_set][c][i];
if (!_isnan(c_val) && !_isnan(g_val) && abs(c_val - g_val) > 0.01)
{
printf("Prev mismatch s=%d r=%d rr=%d c=%d i=%d c_v=%f g_v=%f\n", set, (int)n_actual_loops, n_real_rounds, c, i, c_val, g_val);
sample_mismatch = 1;
}
}
}
if (sample_mismatch) exit(0);
// print_interval = 2;
}
#endif
#if 1
for (int c = 0; c < n_channels && !sample_mismatch; c++)
{
for (int i = 0; i < proc_block_sz; i++)
{
outputs[set][c][i] = (outputs[prev_set][c][i] * (float)i + outputs[set][c][i] * (float)(proc_block_sz - i)) / (float)proc_block_sz;
}
}
#endif
// free conv slot for the next upload
upload_ctl.prev_set = upload_ctl.curr_set;
upload_ctl.eo_upload[prev_set] = 0;
}
upload_ctl.onconv_switch_delay_counter++;
upload_ctl.onconv_switch_delay_counter = (upload_ctl.onconv_switch_delay_counter >= upload_ctl.n_delays_onconv_switch) ? 0 : upload_ctl.onconv_switch_delay_counter;
break;
}
}
pthread_mutex_unlock(&conv_updt_guard);
t1 = mach_absolute_time();
if (n_actual_loops > 0 ) {
processing_time += subtractTimes(t1, t0);
}
int print_interval = 100;
#if 1
if (ext_verify)
{
for( int c = 0; c < n_channels && !sample_mismatch; c++)
{
for (int i = 0; i < input_block_sz && !sample_mismatch; i++)
{
float c_val = outputs_v[set][c][i];
float g_val = outputs[set][c][i];
if ( !_isnan( c_val) && !_isnan(g_val) && abs(c_val - g_val) > 0.01 )
{
printf("Pipeline mismatch s=%d r=%d rr=%d c=%d i=%d c_v=%f g_v=%f\n", set, (int)n_actual_loops, n_real_rounds, c, i, c_val, g_val);
sample_mismatch = 1;
// exit(0);
}
}
}
print_interval = 2;
}
#endif
if (!sample_mismatch && ( n_actual_loops % print_interval ) == 0 && n_actual_loops > 0 )
{
printf("Passed set %d round %d\n", set, (int)n_actual_loops);
}
else if ( sample_mismatch)
{
// exit(0);
}
n_actual_loops++;
}
static
void Usage(void ){
printf(">amdrvrbdrv.ex [arguments]\n");
printf("arguments:\n");
printf("-b_sz <block size>\n");
printf("-s_r <sample rate>\n");
printf("-n_l <stream duration in blocks>\n");
printf("-n_i <# of instances>\n");
printf("-i_f <input data> (duration in sec).\n");
printf("-k_f <kernel data> (duration in sec).\n");
printf("-alg 0|1|2 0,1 - classic, 2 - head-tail.\n");
printf("-fft use FFT transform (classic), otherwise FHT.\n");
// printf("-fir_g <filter size> - FIR filter size( separate pipeline).\n");
printf("-v_e <0|1> - external verification with per sample matching(1).\n");
// printf("-v_i <0|1|2|3> - internal verification, stream 1st only(1), 2nd only(2), both(3).\n");
printf("-kub <0|1|2|3> - kernel upload type 0: host ptr 1: client OCL 2: device ptr 3: lib OCL");
printf("-mt - use multi-threaded test");
}
#define __MAX_VST_BLOCKS__ 2048
#define __DEFAULT_STREAM_DIR__ "\\Users\\alyashev\\Music\\"
int main( int argc, char* argv[] )
{
int n_instances = 1;
__int64 num_offline_loops = 10;
__int64 num_conv_updates;
int block_size = 1024;
int sample_rate = 48000;
int per_sample_match = 0;
//int FHT_2streams = __INIT_FLAG_2STREAMS__;
//int heterogen = 0; //__INIT_FLAG_HETEROGEN__;
//int fht = __INIT_FLAG_FHT__;
int fft = 0; //__INIT_FLAG_FFT__
//int fir = 0; // __INIT_FLAG_FIR__
int ext_verify = 0;
int verification = 0; //__INIT_FLAG_VER_TRANSFORM1__; // | __INIT_FLAG_VER_TRANSFORM2__;
const char * input_fl = NULL;
const char * kern_fl = NULL;
char * inp_file = NULL;
char * kern_file = NULL;
int n_input_channels = 1;
int n_sub_channels = 2; // 1 - mono, 2 - stereo
float secs = 2;
float in_secs = 0;
int n_firs = 0;
//int fir_sz[64];
//float * fir_data[64];
int run_flags = 0;//__PROCESSING_FLAG_VERIFY_TRANSFORM__;
int out_file = 0;
int process_dev_buffers = 0;
int kernel_upload_buffers = 3; // 0 - host ptrs, 1 - client OCL buffers, 2 - dev ptrs, 3 - lib OCL buffers
int single_threaded = 1; // 0 - multi, 1 - single
int method = 0;
for ( int i = 0; i < argc; i++ ) {
if ( !strcmp(argv[i], "-i_f") && i < argc -1 && argv[i + 1] != 0) {
if ( isdigit(argv[i+1][0]) ) {
input_fl = NULL;
in_secs = atof(argv[++i]);
} else {
size_t nm_len= strlen(argv[i + 1]);
inp_file = (char*)malloc(nm_len + 1);
assert(inp_file);
strcpy(inp_file,argv[++i]);
input_fl = inp_file;
}
}
else
if ( !strcmp(argv[i], "-k_f") && i < argc -1 && argv[i + 1] != 0) {
if ( isdigit(argv[i+1][0]) ) {
kern_fl = NULL;
secs = atof(argv[++i]);
} else {
size_t nm_len= strlen(argv[i + 1]);
kern_file = (char*)malloc(nm_len + 1);
assert(kern_file);
strcpy(kern_file,argv[++i]);
kern_fl = kern_file;
}
}
#if 0
else
if ( !strcmp(argv[i], "-fir_g") && i < argc - 1 && argv[i + 1] != 0) {
if ( isdigit(argv[i+1][0]) ) {
fir_sz[n_firs++] = atoi(argv[++i]);
}
fir = __INIT_FLAG_FIR__;
}
#endif
else
if ( !strcmp(argv[i], "-n_i") && i < argc -1 && argv[i + 1] != 0) {
n_instances = atoi(argv[++i]);
}
else
if ( !strcmp(argv[i], "-s_r") && i < argc -1 && argv[i + 1] != 0) {
sample_rate = atoi(argv[++i]);
}
else
if ( !strcmp(argv[i], "-n_l") && i < argc -1 && argv[i + 1] != 0) {
num_offline_loops = atoi(argv[++i]);
}
else
if ( !strcmp(argv[i], "-v_e") && i < argc -1 && argv[i + 1] != 0) {
ext_verify = atoi(argv[++i]);
// per_sample_match = atoi(argv[++i]);
}
#if 0
else
if ( !strcmp(argv[i], "-v_i") && i < argc -1 && argv[i + 1] != 0) {
int v = atoi(argv[++i]);
run_flags = (v == 1) ? __PROCESSING_FLAG_VERIFY_TRANSFORM1__ : (v==2) ? __PROCESSING_FLAG_VERIFY_TRANSFORM2__ : (v==3) ? __PROCESSING_FLAG_VERIFY_TRANSFORM1__ | __PROCESSING_FLAG_VERIFY_TRANSFORM1__ : 0;
}
#endif
else
if ( !strcmp(argv[i], "-b_sz") && i < argc -1 && argv[i + 1] != 0) {
block_size = atoi(argv[++i]);
}
else
if (!strcmp(argv[i], "-alg") && i < argc - 1 && argv[i + 1] != 0) {
method = atoi(argv[++i]);
}
else
if (!strcmp(argv[i], "-m_t") && i < argc - 1 && argv[i + 1] != 0) {
single_threaded = (atoi(argv[++i]) == 1) ? 0 : 1;
}
else
if ( !strcmp(argv[i], "-fft") ) {
fft = true;
}
else
if (!strcmp(argv[i], "-alg") && i < argc - 1 && argv[i + 1] != 0) {
method = atoi(argv[++i]);
}
else
if (!strcmp(argv[i], "-mt")) {
single_threaded = 0;
}
else
if (!strcmp(argv[i], "-kub") && i < argc - 1 && argv[i + 1] != 0) {
kernel_upload_buffers = atoi(argv[++i]);
}
else
if ( !strcmp(argv[i], "-h") || !strcmp(argv[i], "-help")) {
Usage();
exit(0);
}
else if ( i > 0 ) {
printf ("Uknown argument: %s. Bailing out!\n", argv[i]);
Usage();
exit(-1);
}
}
input_fl = (input_fl==NULL && in_secs == 0)? "clicks" : input_fl;
kern_fl = (kern_fl==NULL && secs == 0) ? ((ext_verify || verification ) ? "Nice Drum Room": "ad_10sec_48k") : kern_fl; //"St Nicolaes Church";
char input_str[1024];
if ( input_fl ) {
strcpy(input_str, input_fl);
} else {
sprintf(input_str, "%5.1f", in_secs);
}
char kernel_str[1024];
if ( kern_fl ) {
strcpy(kernel_str, kern_fl);
} else {
sprintf(kernel_str, "%5.1f", secs);
}
std:: string meth_s;
meth_s = ((method == graal::ALG_ANY || method == graal::ALG_UNI_HEAD_TAIL) && !fft) ? "uniform head-tail" : "uniform classic";
printf("AMD Graal library. Transform %s\n", (fft)? "FFT" : "FHT");
printf("Arguments:\n");
printf("method %34s\n", meth_s.c_str());
printf("multi-threaded %26s\n", (single_threaded == 1) ? "no" : "yes");
printf("block %35d\n", block_size);
printf("sample rate %29d\n",sample_rate);
printf("stream duration in blocks %15d\n",num_offline_loops);
printf("stream duration in sec %18.1f\n",(float)(num_offline_loops * block_size) / (float)sample_rate);
printf("# of instances %26d\n",n_instances);
printf("input data %*s\n", 30, input_str);
printf("kernel data %*s\n", 29, kernel_str);
printf("external verification %*s\n", 19, (ext_verify == 1) ? "yes" : "no");
int err = 0;
int n_samples = block_size;
//int n_kernel_samples;
int bitPersample = 16;
int n_channels = n_input_channels * n_sub_channels;
size_t kern_ln = 0;
double processing_time = 0.;
double overlaping_processing_time = 0;
double transfer_time = 0;
kern_ln = (size_t)(secs * sample_rate);
processing_time = 0.;
transfer_time = 0;
int n_sets = 2;
n_channels = n_instances*n_sub_channels;
upload_thread upload_ctl;
memset(&upload_ctl, 0, sizeof(upload_thread));
upload_ctl.method = method; // graal::ALG_UNI_HEAD_TAIL; // ALG_UNIFORMED;
upload_ctl.n_sets = n_sets;
// to make it 0 on the first step;
upload_ctl.curr_set = upload_ctl.n_sets;
upload_ctl.n_channels = n_channels;
upload_ctl.single_threaded = single_threaded;
upload_ctl.upload_id.resize(n_sets);
upload_ctl.kernel_id.resize(n_sets);
upload_ctl.eo_upload.resize(n_sets);
upload_ctl.kernels_ptrs.resize(n_sets);
upload_ctl.kernel_len.resize(n_sets);
upload_ctl.kernel_mems.resize(n_sets);
upload_ctl.conv_updt_guard.resize(n_sets);
switch (upload_ctl.method)
{
case graal::ALG_UNI_HEAD_TAIL:
upload_ctl.n_delays_onconv_switch = 2;
break;
case graal::ALG_UNIFORMED:
case graal::ALG_ANY:
default:
upload_ctl.n_delays_onconv_switch = 0;
break;
}
std::vector<std::vector<int>> process_upload_id(n_sets);
std::vector<std::vector<int>> process_kernel_id(n_sets);
std::vector<std::vector<float*>> inputs(n_sets);
std::vector<std::vector<float*>> input_accum(n_sets);
std::vector<std::vector<int>> n_input_accum_blcks(n_sets);
std::vector<std::vector<float*>> outputs(n_sets);
std::vector<std::vector<float*>> outputs_v(n_sets);
// instantiate grral conv library
if (fft)
{
printf("Using the clFFT based convolution\n");
upload_ctl.fhtConv = new graal::CGraalConv_clFFT;
}
else
{
printf("Using the FHT based convolution\n");
upload_ctl.fhtConv = new graal::CGraalConv;
}
// initialize the library
upload_ctl.fhtConv->initializeConv(n_channels, (int)kern_ln, block_size, n_sets
, upload_ctl.method
);
// exit(0);
int proc_block_sz = upload_ctl.fhtConv->getInputBlockSz();
// interface type
upload_ctl.kernel_upload_buffers = kernel_upload_buffers;
for( int j = 0; j < n_sets; j++)
{
upload_ctl.eo_upload[j] = 0;
// initialize guards
pthread_mutex_init (&upload_ctl.conv_updt_guard[j], NULL);
upload_ctl.kernel_id[j].resize(n_channels);
upload_ctl.upload_id[j].resize(n_channels);
process_upload_id[j].resize(n_channels);
process_kernel_id[j].resize(n_channels);
upload_ctl.kernels_ptrs[j].resize(n_channels);
upload_ctl.kernel_len[j].resize(n_channels);
// host arbitrary pointers
inputs[j].resize(n_channels);
outputs[j].resize(n_channels);
// OCL mems
upload_ctl.kernel_mems[j].resize(n_channels);
outputs_v[j].resize(n_channels);
n_input_accum_blcks[j].resize(n_channels);
input_accum[j].resize(n_channels);
for(int i = 0; i < n_channels; i++)
{
upload_ctl.kernel_id[j][i] = i;
upload_ctl.upload_id[j][i] = j;
process_upload_id[j][i] = j;
process_kernel_id[j][i] = i;
upload_ctl.kernel_len[j][i] = (int)kern_ln;
// host arbitrary pointers
if ( !process_dev_buffers )
{
inputs[j][i] = (float*)malloc(proc_block_sz* sizeof(float));
outputs[j][i] = (float*)malloc(proc_block_sz* sizeof(float));
}
outputs_v[j][i] = (float*)malloc(proc_block_sz* sizeof(float));
n_input_accum_blcks[j][i] = 1 + (upload_ctl.kernel_len[j][i] + proc_block_sz - 1) / proc_block_sz;
input_accum[j][i] = (float*)malloc(n_input_accum_blcks[j][i] * proc_block_sz * sizeof(float));
memset(input_accum[j][i], 0, n_input_accum_blcks[j][i] * proc_block_sz * sizeof(float));
}
}
// upload kernels
if (kernel_upload_buffers == 0 || kernel_upload_buffers == 1 || kernel_upload_buffers == 3)
{
for( int j = 0; j < n_sets; j++)
{
for (int i = 0; i < upload_ctl.kernels_ptrs[j].size(); i++)
{
upload_ctl.kernels_ptrs[j][i] = malloc(upload_ctl.kernel_len[j][i] * sizeof(float));
}
}
}
// process device buffers
/*
if ( process_dev_buffers )
{
fhtConv.getDevInputPtrs(n_channels, 0, &kernel_id[0], &inputs[0][0]);
}
*/
pthread_t t1;
__int64 n_process_loops = 1;
if (!upload_ctl.single_threaded)
{
num_conv_updates = num_offline_loops;
upload_ctl.eo_thread = 0;
pthread_create(&t1, NULL, convUploadRoutine, &upload_ctl);
}
else
{
upload_ctl.eo_thread = 1;
num_conv_updates = num_offline_loops / 40;
num_conv_updates = (0 < num_conv_updates) ? num_conv_updates : 1;
n_process_loops = num_offline_loops / num_conv_updates;
}
int sample_mismatch = 0;
__int64 r_count = 0;
#if 1
if (upload_ctl.single_threaded && !ext_verify)
{
convUploadRoutine(&upload_ctl);
}
#endif
for( __int64 u_count = 0; u_count < num_conv_updates + 1 && !sample_mismatch; u_count++)
{
#if 1
if (upload_ctl.single_threaded && ext_verify)
{
convUploadRoutine(&upload_ctl);
}
#endif
int i = 0;
while (true )
{
if (upload_ctl.curr_set < upload_ctl.n_sets && upload_ctl.eo_upload[upload_ctl.curr_set])
{
// pthread_mutex_lock(&upload_ctl.conv_updt_guard[j]);
for(int k = 0; k < upload_ctl.n_channels;k++)
{
process_upload_id[upload_ctl.curr_set][k] = upload_ctl.upload_id[upload_ctl.curr_set][k];
}
processingLoop(
upload_ctl,
r_count,
processing_time,
ext_verify,
n_channels,
block_size,
proc_block_sz,
process_dev_buffers,
process_upload_id,
process_kernel_id,
inputs,
outputs,
n_input_accum_blcks,
input_accum,
outputs_v
);
// pthread_mutex_unlock(&upload_ctl.conv_updt_guard[j]);
}
if (!upload_ctl.single_threaded)
{
Sleep(0);
}
if (upload_ctl.single_threaded)
{
i++;
if (i >= n_process_loops)
{
break;
}
}
else if (r_count >= num_offline_loops)
{
break;
}
}
}
if (!upload_ctl.single_threaded)
{
upload_ctl.eo_thread = 1;
pthread_join(t1, NULL);
}
if (kernel_upload_buffers == 0 || kernel_upload_buffers == 1 || kernel_upload_buffers == 3)
{
for( int j = 0; j < n_sets; j++)
{
for(int i = 0; i < upload_ctl.kernels_ptrs[j].size(); i++)
{
free(upload_ctl.kernels_ptrs[j][i]);
}
}
}
for( int j = 0; j < n_sets; j++)
{
pthread_mutex_destroy (&upload_ctl.conv_updt_guard[j]);
for(int i = 0; i < inputs[j].size(); i++)
{
if (!process_dev_buffers)
{
free(inputs[j][i]);
free(outputs[j][i]);
}
free(input_accum[j][i]);
free(outputs_v[j][i]);
}
}
delete upload_ctl.fhtConv;
__int64 upload_count = (upload_ctl.upload_count - 1 <= 0) ? 1 : (upload_ctl.upload_count - 1);
printf( "Channels: %d upload:%6.2fms processing:%6.2fms\n",
n_channels,
(upload_ctl.uploading_time/upload_count),
(processing_time/(double) r_count)
);
return(0);
}
#endif |
convolution_3x3_pack1to8_fp16.h | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2019 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
static void conv3x3s1_pack1to8_fp16_avx(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const float* bias = _bias;
int nn_outch = outch >> 1;
int remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp = 0; pp < nn_outch; pp++)
{
int p = pp * 2;
Mat out0 = top_blob.channel(p);
Mat out1 = top_blob.channel(p + 1);
__m256 _bias0 = bias ? _mm256_loadu_ps((const float*)bias + p * 8) : _mm256_set1_ps(0.f);
__m256 _bias1 = bias ? _mm256_loadu_ps((const float*)bias + (p + 1) * 8) : _mm256_set1_ps(0.f);
out0.fill(_bias0);
out1.fill(_bias1);
//fp16
const unsigned short* k0 = (const unsigned short*)kernel.channel(p);
const unsigned short* k1 = (const unsigned short*)kernel.channel(p + 1);
for (int q = 0; q < inch; q++)
{
float* outptr0 = out0;
float* outptr1 = out1;
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
__m256 _k00_0 = loadfp16(k0);
__m256 _k01_0 = loadfp16(k0 + 8);
__m256 _k02_0 = loadfp16(k0 + 16);
__m256 _k10_0 = loadfp16(k0 + 24);
__m256 _k11_0 = loadfp16(k0 + 32);
__m256 _k12_0 = loadfp16(k0 + 40);
__m256 _k20_0 = loadfp16(k0 + 48);
__m256 _k21_0 = loadfp16(k0 + 56);
__m256 _k22_0 = loadfp16(k0 + 64);
__m256 _k00_1 = loadfp16(k1);
__m256 _k01_1 = loadfp16(k1 + 8);
__m256 _k02_1 = loadfp16(k1 + 16);
__m256 _k10_1 = loadfp16(k1 + 24);
__m256 _k11_1 = loadfp16(k1 + 32);
__m256 _k12_1 = loadfp16(k1 + 40);
__m256 _k20_1 = loadfp16(k1 + 48);
__m256 _k21_1 = loadfp16(k1 + 56);
__m256 _k22_1 = loadfp16(k1 + 64);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _sum10 = _mm256_loadu_ps(outptr1);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_sum10 = _mm256_fmadd_ps(_r01, _k00_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r02, _k01_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r03, _k02_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r11, _k10_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r12, _k11_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r13, _k12_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r21, _k20_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r22, _k21_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r23, _k22_1, _sum10);
_mm256_storeu_ps(outptr0, _sum00);
_mm256_storeu_ps(outptr1, _sum10);
__m256 _sum01 = _mm256_loadu_ps(outptr0 + 8);
__m256 _sum11 = _mm256_loadu_ps(outptr1 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
_sum01 = _mm256_fmadd_ps(_r02, _k00_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r03, _k01_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r04, _k02_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r12, _k10_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r13, _k11_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r14, _k12_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r22, _k20_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r23, _k21_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r24, _k22_0, _sum01);
_sum11 = _mm256_fmadd_ps(_r02, _k00_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r03, _k01_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r04, _k02_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r12, _k10_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r13, _k11_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r14, _k12_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r22, _k20_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r23, _k21_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r24, _k22_1, _sum11);
_mm256_storeu_ps(outptr0 + 8, _sum01);
_mm256_storeu_ps(outptr1 + 8, _sum11);
__m256 _sum02 = _mm256_loadu_ps(outptr0 + 16);
__m256 _sum12 = _mm256_loadu_ps(outptr1 + 16);
__m256 _r05 = _mm256_broadcast_ss(r0 + 4);
__m256 _r15 = _mm256_broadcast_ss(r1 + 4);
__m256 _r25 = _mm256_broadcast_ss(r2 + 4);
_sum02 = _mm256_fmadd_ps(_r03, _k00_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r04, _k01_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r05, _k02_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r13, _k10_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r14, _k11_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r15, _k12_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r23, _k20_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r24, _k21_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r25, _k22_0, _sum02);
_sum12 = _mm256_fmadd_ps(_r03, _k00_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r04, _k01_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r05, _k02_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r13, _k10_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r14, _k11_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r15, _k12_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r23, _k20_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r24, _k21_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r25, _k22_1, _sum12);
_mm256_storeu_ps(outptr0 + 16, _sum02);
_mm256_storeu_ps(outptr1 + 16, _sum12);
__m256 _r06 = _mm256_broadcast_ss(r0 + 5);
__m256 _r16 = _mm256_broadcast_ss(r1 + 5);
__m256 _r26 = _mm256_broadcast_ss(r2 + 5);
__m256 _sum03 = _mm256_loadu_ps(outptr0 + 24);
__m256 _sum13 = _mm256_loadu_ps(outptr1 + 24);
_sum03 = _mm256_fmadd_ps(_r04, _k00_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r05, _k01_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r06, _k02_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r14, _k10_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r15, _k11_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r16, _k12_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r24, _k20_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r25, _k21_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r26, _k22_0, _sum03);
_sum13 = _mm256_fmadd_ps(_r04, _k00_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r05, _k01_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r06, _k02_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r14, _k10_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r15, _k11_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r16, _k12_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r24, _k20_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r25, _k21_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r26, _k22_1, _sum13);
_mm256_storeu_ps(outptr0 + 24, _sum03);
_mm256_storeu_ps(outptr1 + 24, _sum13);
r0 += 4;
r1 += 4;
r2 += 4;
outptr0 += 32;
outptr1 += 32;
}
for (; j + 1 < outw; j += 2)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _sum10 = _mm256_loadu_ps(outptr1);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_sum10 = _mm256_fmadd_ps(_r01, _k00_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r02, _k01_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r03, _k02_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r11, _k10_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r12, _k11_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r13, _k12_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r21, _k20_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r22, _k21_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r23, _k22_1, _sum10);
_mm256_storeu_ps(outptr0, _sum00);
_mm256_storeu_ps(outptr1, _sum10);
__m256 _sum01 = _mm256_loadu_ps(outptr0 + 8);
__m256 _sum11 = _mm256_loadu_ps(outptr1 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
_sum01 = _mm256_fmadd_ps(_r02, _k00_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r03, _k01_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r04, _k02_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r12, _k10_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r13, _k11_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r14, _k12_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r22, _k20_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r23, _k21_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r24, _k22_0, _sum01);
_sum11 = _mm256_fmadd_ps(_r02, _k00_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r03, _k01_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r04, _k02_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r12, _k10_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r13, _k11_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r14, _k12_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r22, _k20_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r23, _k21_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r24, _k22_1, _sum11);
_mm256_storeu_ps(outptr0 + 8, _sum01);
_mm256_storeu_ps(outptr1 + 8, _sum11);
r0 += 2;
r1 += 2;
r2 += 2;
outptr0 += 16;
outptr1 += 16;
}
for (; j < outw; j++)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _sum10 = _mm256_loadu_ps(outptr1);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_sum10 = _mm256_fmadd_ps(_r01, _k00_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r02, _k01_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r03, _k02_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r11, _k10_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r12, _k11_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r13, _k12_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r21, _k20_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r22, _k21_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r23, _k22_1, _sum10);
_mm256_storeu_ps(outptr0, _sum00);
_mm256_storeu_ps(outptr1, _sum10);
r0 += 1;
r1 += 1;
r2 += 1;
outptr0 += 8;
outptr1 += 8;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
k0 += 9 * 8;
k1 += 9 * 8;
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = remain_outch_start; p < outch; p++)
{
Mat out0 = top_blob.channel(p);
__m256 _bias0 = bias ? _mm256_loadu_ps((const float*)bias + p * 8) : _mm256_set1_ps(0.f);
out0.fill(_bias0);
//fp16
const unsigned short* k0 = ( const unsigned short*)kernel.channel(p);
for (int q = 0; q < inch; q++)
{
float* outptr0 = out0.row(0);
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
__m256 _k00 = loadfp16(k0);
__m256 _k01 = loadfp16(k0 + 8);
__m256 _k02 = loadfp16(k0 + 16);
__m256 _k10 = loadfp16(k0 + 24);
__m256 _k11 = loadfp16(k0 + 32);
__m256 _k12 = loadfp16(k0 + 40);
__m256 _k20 = loadfp16(k0 + 48);
__m256 _k21 = loadfp16(k0 + 56);
__m256 _k22 = loadfp16(k0 + 64);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 3 < outw; j += 4)
{
__m256 _sum0 = _mm256_loadu_ps(outptr0);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum0 = _mm256_fmadd_ps(_r01, _k00, _sum0);
_sum0 = _mm256_fmadd_ps(_r02, _k01, _sum0);
_sum0 = _mm256_fmadd_ps(_r03, _k02, _sum0);
_sum0 = _mm256_fmadd_ps(_r11, _k10, _sum0);
_sum0 = _mm256_fmadd_ps(_r12, _k11, _sum0);
_sum0 = _mm256_fmadd_ps(_r13, _k12, _sum0);
_sum0 = _mm256_fmadd_ps(_r21, _k20, _sum0);
_sum0 = _mm256_fmadd_ps(_r22, _k21, _sum0);
_sum0 = _mm256_fmadd_ps(_r23, _k22, _sum0);
__m256 _sum1 = _mm256_loadu_ps(outptr0 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
_mm256_storeu_ps(outptr0, _sum0);
_sum1 = _mm256_fmadd_ps(_r02, _k00, _sum1);
_sum1 = _mm256_fmadd_ps(_r03, _k01, _sum1);
_sum1 = _mm256_fmadd_ps(_r04, _k02, _sum1);
_sum1 = _mm256_fmadd_ps(_r12, _k10, _sum1);
_sum1 = _mm256_fmadd_ps(_r13, _k11, _sum1);
_sum1 = _mm256_fmadd_ps(_r14, _k12, _sum1);
_sum1 = _mm256_fmadd_ps(_r22, _k20, _sum1);
_sum1 = _mm256_fmadd_ps(_r23, _k21, _sum1);
_sum1 = _mm256_fmadd_ps(_r24, _k22, _sum1);
__m256 _sum2 = _mm256_loadu_ps(outptr0 + 16);
__m256 _r05 = _mm256_broadcast_ss(r0 + 4);
__m256 _r15 = _mm256_broadcast_ss(r1 + 4);
__m256 _r25 = _mm256_broadcast_ss(r2 + 4);
_mm256_storeu_ps(outptr0 + 8, _sum1);
_sum2 = _mm256_fmadd_ps(_r03, _k00, _sum2);
_sum2 = _mm256_fmadd_ps(_r04, _k01, _sum2);
_sum2 = _mm256_fmadd_ps(_r05, _k02, _sum2);
_sum2 = _mm256_fmadd_ps(_r13, _k10, _sum2);
_sum2 = _mm256_fmadd_ps(_r14, _k11, _sum2);
_sum2 = _mm256_fmadd_ps(_r15, _k12, _sum2);
_sum2 = _mm256_fmadd_ps(_r23, _k20, _sum2);
_sum2 = _mm256_fmadd_ps(_r24, _k21, _sum2);
_sum2 = _mm256_fmadd_ps(_r25, _k22, _sum2);
__m256 _sum3 = _mm256_loadu_ps(outptr0 + 24);
__m256 _r06 = _mm256_broadcast_ss(r0 + 5);
__m256 _r16 = _mm256_broadcast_ss(r1 + 5);
__m256 _r26 = _mm256_broadcast_ss(r2 + 5);
_mm256_storeu_ps(outptr0 + 16, _sum2);
_sum3 = _mm256_fmadd_ps(_r04, _k00, _sum3);
_sum3 = _mm256_fmadd_ps(_r05, _k01, _sum3);
_sum3 = _mm256_fmadd_ps(_r06, _k02, _sum3);
_sum3 = _mm256_fmadd_ps(_r14, _k10, _sum3);
_sum3 = _mm256_fmadd_ps(_r15, _k11, _sum3);
_sum3 = _mm256_fmadd_ps(_r16, _k12, _sum3);
_sum3 = _mm256_fmadd_ps(_r24, _k20, _sum3);
_sum3 = _mm256_fmadd_ps(_r25, _k21, _sum3);
_sum3 = _mm256_fmadd_ps(_r26, _k22, _sum3);
_mm256_storeu_ps(outptr0 + 24, _sum3);
r0 += 4;
r1 += 4;
r2 += 4;
outptr0 += 32;
}
for (; j + 1 < outw; j += 2)
{
__m256 _sum0 = _mm256_loadu_ps(outptr0);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum0 = _mm256_fmadd_ps(_r01, _k00, _sum0);
_sum0 = _mm256_fmadd_ps(_r02, _k01, _sum0);
_sum0 = _mm256_fmadd_ps(_r03, _k02, _sum0);
_sum0 = _mm256_fmadd_ps(_r11, _k10, _sum0);
_sum0 = _mm256_fmadd_ps(_r12, _k11, _sum0);
_sum0 = _mm256_fmadd_ps(_r13, _k12, _sum0);
_sum0 = _mm256_fmadd_ps(_r21, _k20, _sum0);
_sum0 = _mm256_fmadd_ps(_r22, _k21, _sum0);
_sum0 = _mm256_fmadd_ps(_r23, _k22, _sum0);
__m256 _sum1 = _mm256_loadu_ps(outptr0 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
_mm256_storeu_ps(outptr0, _sum0);
_sum1 = _mm256_fmadd_ps(_r02, _k00, _sum1);
_sum1 = _mm256_fmadd_ps(_r03, _k01, _sum1);
_sum1 = _mm256_fmadd_ps(_r04, _k02, _sum1);
_sum1 = _mm256_fmadd_ps(_r12, _k10, _sum1);
_sum1 = _mm256_fmadd_ps(_r13, _k11, _sum1);
_sum1 = _mm256_fmadd_ps(_r14, _k12, _sum1);
_sum1 = _mm256_fmadd_ps(_r22, _k20, _sum1);
_sum1 = _mm256_fmadd_ps(_r23, _k21, _sum1);
_sum1 = _mm256_fmadd_ps(_r24, _k22, _sum1);
_mm256_storeu_ps(outptr0 + 8, _sum1);
r0 += 2;
r1 += 2;
r2 += 2;
outptr0 += 16;
}
for (; j < outw; j++)
{
__m256 _sum0 = _mm256_loadu_ps(outptr0);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum0 = _mm256_fmadd_ps(_r01, _k00, _sum0);
_sum0 = _mm256_fmadd_ps(_r02, _k01, _sum0);
_sum0 = _mm256_fmadd_ps(_r03, _k02, _sum0);
_sum0 = _mm256_fmadd_ps(_r11, _k10, _sum0);
_sum0 = _mm256_fmadd_ps(_r12, _k11, _sum0);
_sum0 = _mm256_fmadd_ps(_r13, _k12, _sum0);
_sum0 = _mm256_fmadd_ps(_r21, _k20, _sum0);
_sum0 = _mm256_fmadd_ps(_r22, _k21, _sum0);
_sum0 = _mm256_fmadd_ps(_r23, _k22, _sum0);
_mm256_storeu_ps(outptr0, _sum0);
r0 += 1;
r1 += 1;
r2 += 1;
outptr0 += 8;
}
r0 += 2;
r1 += 2;
r2 += 2;
}
k0 += 9 * 8;
}
}
}
static void conv3x3s2_pack1to8_fp16_avx(const Mat& bottom_blob, Mat& top_blob, const Mat& kernel, const Mat& _bias, const Option& opt)
{
int w = bottom_blob.w;
int inch = bottom_blob.c;
int outw = top_blob.w;
int outh = top_blob.h;
int outch = top_blob.c;
const int tailstep = w - 2 * outw + w;
const float* bias = _bias;
int nn_outch = outch >> 1;
int remain_outch_start = nn_outch << 1;
#pragma omp parallel for num_threads(opt.num_threads)
for (int pp = 0; pp < nn_outch; pp++)
{
int p = pp * 2;
Mat out0 = top_blob.channel(p);
Mat out1 = top_blob.channel(p + 1);
__m256 _bias0 = bias ? _mm256_loadu_ps((const float*)bias + p * 8) : _mm256_set1_ps(0.f);
__m256 _bias1 = bias ? _mm256_loadu_ps((const float*)bias + (p + 1) * 8) : _mm256_set1_ps(0.f);
out0.fill(_bias0);
out1.fill(_bias1);
//fp16
const unsigned short* k0 =(const unsigned short*)kernel.channel(p);
const unsigned short* k1 = (const unsigned short*)kernel.channel(p + 1);
for (int q = 0; q < inch; q++)
{
float* outptr0 = out0;
float* outptr1 = out1;
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
__m256 _k00_0 = loadfp16(k0);
__m256 _k01_0 = loadfp16(k0 + 8);
__m256 _k02_0 = loadfp16(k0 + 16);
__m256 _k10_0 = loadfp16(k0 + 24);
__m256 _k11_0 = loadfp16(k0 + 32);
__m256 _k12_0 = loadfp16(k0 + 40);
__m256 _k20_0 = loadfp16(k0 + 48);
__m256 _k21_0 = loadfp16(k0 + 56);
__m256 _k22_0 = loadfp16(k0 + 64);
__m256 _k00_1 = loadfp16(k1);
__m256 _k01_1 = loadfp16(k1 + 8);
__m256 _k02_1 = loadfp16(k1 + 16);
__m256 _k10_1 = loadfp16(k1 + 24);
__m256 _k11_1 = loadfp16(k1 + 32);
__m256 _k12_1 = loadfp16(k1 + 40);
__m256 _k20_1 = loadfp16(k1 + 48);
__m256 _k21_1 = loadfp16(k1 + 56);
__m256 _k22_1 = loadfp16(k1 + 64);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 7 < outw; j += 8)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _sum10 = _mm256_loadu_ps(outptr1);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_sum10 = _mm256_fmadd_ps(_r01, _k00_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r02, _k01_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r03, _k02_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r11, _k10_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r12, _k11_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r13, _k12_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r21, _k20_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r22, _k21_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r23, _k22_1, _sum10);
_mm256_storeu_ps(outptr0, _sum00);
_mm256_storeu_ps(outptr1, _sum10);
__m256 _sum01 = _mm256_loadu_ps(outptr0 + 8);
__m256 _sum11 = _mm256_loadu_ps(outptr1 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
__m256 _r05 = _mm256_broadcast_ss(r0 + 4);
__m256 _r15 = _mm256_broadcast_ss(r1 + 4);
__m256 _r25 = _mm256_broadcast_ss(r2 + 4);
_sum01 = _mm256_fmadd_ps(_r03, _k00_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r04, _k01_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r05, _k02_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r13, _k10_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r14, _k11_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r15, _k12_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r23, _k20_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r24, _k21_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r25, _k22_0, _sum01);
_sum11 = _mm256_fmadd_ps(_r03, _k00_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r04, _k01_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r05, _k02_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r13, _k10_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r14, _k11_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r15, _k12_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r23, _k20_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r24, _k21_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r25, _k22_1, _sum11);
_mm256_storeu_ps(outptr0 + 8, _sum01);
_mm256_storeu_ps(outptr1 + 8, _sum11);
__m256 _sum02 = _mm256_loadu_ps(outptr0 + 16);
__m256 _sum12 = _mm256_loadu_ps(outptr1 + 16);
__m256 _r06 = _mm256_broadcast_ss(r0 + 5);
__m256 _r16 = _mm256_broadcast_ss(r1 + 5);
__m256 _r26 = _mm256_broadcast_ss(r2 + 5);
__m256 _r07 = _mm256_broadcast_ss(r0 + 6);
__m256 _r17 = _mm256_broadcast_ss(r1 + 6);
__m256 _r27 = _mm256_broadcast_ss(r2 + 6);
_sum02 = _mm256_fmadd_ps(_r05, _k00_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r06, _k01_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r07, _k02_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r15, _k10_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r16, _k11_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r17, _k12_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r25, _k20_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r26, _k21_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r27, _k22_0, _sum02);
_sum12 = _mm256_fmadd_ps(_r05, _k00_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r06, _k01_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r07, _k02_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r15, _k10_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r16, _k11_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r17, _k12_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r25, _k20_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r26, _k21_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r27, _k22_1, _sum12);
_mm256_storeu_ps(outptr0 + 16, _sum02);
_mm256_storeu_ps(outptr1 + 16, _sum12);
__m256 _r08 = _mm256_broadcast_ss(r0 + 7);
__m256 _r18 = _mm256_broadcast_ss(r1 + 7);
__m256 _r28 = _mm256_broadcast_ss(r2 + 7);
__m256 _r09 = _mm256_broadcast_ss(r0 + 8);
__m256 _r19 = _mm256_broadcast_ss(r1 + 8);
__m256 _r29 = _mm256_broadcast_ss(r2 + 8);
__m256 _sum03 = _mm256_loadu_ps(outptr0 + 24);
__m256 _sum13 = _mm256_loadu_ps(outptr1 + 24);
_sum03 = _mm256_fmadd_ps(_r07, _k00_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r08, _k01_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r09, _k02_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r17, _k10_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r18, _k11_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r19, _k12_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r27, _k20_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r28, _k21_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r29, _k22_0, _sum03);
_sum13 = _mm256_fmadd_ps(_r07, _k00_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r08, _k01_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r09, _k02_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r17, _k10_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r18, _k11_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r19, _k12_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r27, _k20_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r28, _k21_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r29, _k22_1, _sum13);
_mm256_storeu_ps(outptr0 + 24, _sum03);
_mm256_storeu_ps(outptr1 + 24, _sum13);
__m256 _r010 = _mm256_broadcast_ss(r0 + 9);
__m256 _r110 = _mm256_broadcast_ss(r1 + 9);
__m256 _r210 = _mm256_broadcast_ss(r2 + 9);
__m256 _r011 = _mm256_broadcast_ss(r0 + 10);
__m256 _r111 = _mm256_broadcast_ss(r1 + 10);
__m256 _r211 = _mm256_broadcast_ss(r2 + 10);
__m256 _sum04 = _mm256_loadu_ps(outptr0 + 32);
__m256 _sum14 = _mm256_loadu_ps(outptr1 + 32);
_sum04 = _mm256_fmadd_ps(_r09, _k00_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r010, _k01_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r011, _k02_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r19, _k10_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r110, _k11_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r111, _k12_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r29, _k20_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r210, _k21_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r211, _k22_0, _sum04);
_sum14 = _mm256_fmadd_ps(_r09, _k00_1, _sum14);
_sum14 = _mm256_fmadd_ps(_r010, _k01_1, _sum14);
_sum14 = _mm256_fmadd_ps(_r011, _k02_1, _sum14);
_sum14 = _mm256_fmadd_ps(_r19, _k10_1, _sum14);
_sum14 = _mm256_fmadd_ps(_r110, _k11_1, _sum14);
_sum14 = _mm256_fmadd_ps(_r111, _k12_1, _sum14);
_sum14 = _mm256_fmadd_ps(_r29, _k20_1, _sum14);
_sum14 = _mm256_fmadd_ps(_r210, _k21_1, _sum14);
_sum14 = _mm256_fmadd_ps(_r211, _k22_1, _sum14);
_mm256_storeu_ps(outptr0 + 32, _sum04);
_mm256_storeu_ps(outptr1 + 32, _sum14);
__m256 _r012 = _mm256_broadcast_ss(r0 + 11);
__m256 _r112 = _mm256_broadcast_ss(r1 + 11);
__m256 _r212 = _mm256_broadcast_ss(r2 + 11);
__m256 _r013 = _mm256_broadcast_ss(r0 + 12);
__m256 _r113 = _mm256_broadcast_ss(r1 + 12);
__m256 _r213 = _mm256_broadcast_ss(r2 + 12);
__m256 _sum05 = _mm256_loadu_ps(outptr0 + 40);
__m256 _sum15 = _mm256_loadu_ps(outptr1 + 40);
_sum05 = _mm256_fmadd_ps(_r011, _k00_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r012, _k01_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r013, _k02_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r111, _k10_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r112, _k11_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r113, _k12_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r211, _k20_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r212, _k21_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r213, _k22_0, _sum05);
_sum15 = _mm256_fmadd_ps(_r011, _k00_1, _sum15);
_sum15 = _mm256_fmadd_ps(_r012, _k01_1, _sum15);
_sum15 = _mm256_fmadd_ps(_r013, _k02_1, _sum15);
_sum15 = _mm256_fmadd_ps(_r111, _k10_1, _sum15);
_sum15 = _mm256_fmadd_ps(_r112, _k11_1, _sum15);
_sum15 = _mm256_fmadd_ps(_r113, _k12_1, _sum15);
_sum15 = _mm256_fmadd_ps(_r211, _k20_1, _sum15);
_sum15 = _mm256_fmadd_ps(_r212, _k21_1, _sum15);
_sum15 = _mm256_fmadd_ps(_r213, _k22_1, _sum15);
_mm256_storeu_ps(outptr0 + 40, _sum05);
_mm256_storeu_ps(outptr1 + 40, _sum15);
__m256 _r014 = _mm256_broadcast_ss(r0 + 13);
__m256 _r114 = _mm256_broadcast_ss(r1 + 13);
__m256 _r214 = _mm256_broadcast_ss(r2 + 13);
__m256 _r015 = _mm256_broadcast_ss(r0 + 14);
__m256 _r115 = _mm256_broadcast_ss(r1 + 14);
__m256 _r215 = _mm256_broadcast_ss(r2 + 14);
__m256 _sum06 = _mm256_loadu_ps(outptr0 + 48);
__m256 _sum16 = _mm256_loadu_ps(outptr1 + 48);
_sum06 = _mm256_fmadd_ps(_r013, _k00_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r014, _k01_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r015, _k02_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r113, _k10_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r114, _k11_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r115, _k12_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r213, _k20_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r214, _k21_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r215, _k22_0, _sum06);
_sum16 = _mm256_fmadd_ps(_r013, _k00_1, _sum16);
_sum16 = _mm256_fmadd_ps(_r014, _k01_1, _sum16);
_sum16 = _mm256_fmadd_ps(_r015, _k02_1, _sum16);
_sum16 = _mm256_fmadd_ps(_r113, _k10_1, _sum16);
_sum16 = _mm256_fmadd_ps(_r114, _k11_1, _sum16);
_sum16 = _mm256_fmadd_ps(_r115, _k12_1, _sum16);
_sum16 = _mm256_fmadd_ps(_r213, _k20_1, _sum16);
_sum16 = _mm256_fmadd_ps(_r214, _k21_1, _sum16);
_sum16 = _mm256_fmadd_ps(_r215, _k22_1, _sum16);
_mm256_storeu_ps(outptr0 + 48, _sum06);
_mm256_storeu_ps(outptr1 + 48, _sum16);
__m256 _r016 = _mm256_broadcast_ss(r0 + 15);
__m256 _r116 = _mm256_broadcast_ss(r1 + 15);
__m256 _r216 = _mm256_broadcast_ss(r2 + 15);
__m256 _r017 = _mm256_broadcast_ss(r0 + 16);
__m256 _r117 = _mm256_broadcast_ss(r1 + 16);
__m256 _r217 = _mm256_broadcast_ss(r2 + 16);
__m256 _sum07 = _mm256_loadu_ps(outptr0 + 56);
__m256 _sum17 = _mm256_loadu_ps(outptr1 + 56);
_sum07 = _mm256_fmadd_ps(_r015, _k00_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r016, _k01_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r017, _k02_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r115, _k10_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r116, _k11_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r117, _k12_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r215, _k20_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r216, _k21_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r217, _k22_0, _sum07);
_sum17 = _mm256_fmadd_ps(_r015, _k00_1, _sum17);
_sum17 = _mm256_fmadd_ps(_r016, _k01_1, _sum17);
_sum17 = _mm256_fmadd_ps(_r017, _k02_1, _sum17);
_sum17 = _mm256_fmadd_ps(_r115, _k10_1, _sum17);
_sum17 = _mm256_fmadd_ps(_r116, _k11_1, _sum17);
_sum17 = _mm256_fmadd_ps(_r117, _k12_1, _sum17);
_sum17 = _mm256_fmadd_ps(_r215, _k20_1, _sum17);
_sum17 = _mm256_fmadd_ps(_r216, _k21_1, _sum17);
_sum17 = _mm256_fmadd_ps(_r217, _k22_1, _sum17);
_mm256_storeu_ps(outptr0 + 56, _sum07);
_mm256_storeu_ps(outptr1 + 56, _sum17);
r0 += 16;
r1 += 16;
r2 += 16;
outptr0 += 64;
outptr1 += 64;
}
for (; j + 3 < outw; j += 4)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _sum10 = _mm256_loadu_ps(outptr1);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_sum10 = _mm256_fmadd_ps(_r01, _k00_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r02, _k01_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r03, _k02_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r11, _k10_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r12, _k11_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r13, _k12_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r21, _k20_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r22, _k21_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r23, _k22_1, _sum10);
_mm256_storeu_ps(outptr0, _sum00);
_mm256_storeu_ps(outptr1, _sum10);
__m256 _sum01 = _mm256_loadu_ps(outptr0 + 8);
__m256 _sum11 = _mm256_loadu_ps(outptr1 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
__m256 _r05 = _mm256_broadcast_ss(r0 + 4);
__m256 _r15 = _mm256_broadcast_ss(r1 + 4);
__m256 _r25 = _mm256_broadcast_ss(r2 + 4);
_sum01 = _mm256_fmadd_ps(_r03, _k00_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r04, _k01_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r05, _k02_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r13, _k10_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r14, _k11_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r15, _k12_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r23, _k20_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r24, _k21_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r25, _k22_0, _sum01);
_sum11 = _mm256_fmadd_ps(_r03, _k00_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r04, _k01_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r05, _k02_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r13, _k10_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r14, _k11_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r15, _k12_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r23, _k20_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r24, _k21_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r25, _k22_1, _sum11);
_mm256_storeu_ps(outptr0 + 8, _sum01);
_mm256_storeu_ps(outptr1 + 8, _sum11);
__m256 _sum02 = _mm256_loadu_ps(outptr0 + 16);
__m256 _sum12 = _mm256_loadu_ps(outptr1 + 16);
__m256 _r06 = _mm256_broadcast_ss(r0 + 5);
__m256 _r16 = _mm256_broadcast_ss(r1 + 5);
__m256 _r26 = _mm256_broadcast_ss(r2 + 5);
__m256 _r07 = _mm256_broadcast_ss(r0 + 6);
__m256 _r17 = _mm256_broadcast_ss(r1 + 6);
__m256 _r27 = _mm256_broadcast_ss(r2 + 6);
_sum02 = _mm256_fmadd_ps(_r05, _k00_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r06, _k01_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r07, _k02_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r15, _k10_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r16, _k11_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r17, _k12_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r25, _k20_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r26, _k21_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r27, _k22_0, _sum02);
_sum12 = _mm256_fmadd_ps(_r05, _k00_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r06, _k01_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r07, _k02_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r15, _k10_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r16, _k11_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r17, _k12_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r25, _k20_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r26, _k21_1, _sum12);
_sum12 = _mm256_fmadd_ps(_r27, _k22_1, _sum12);
_mm256_storeu_ps(outptr0 + 16, _sum02);
_mm256_storeu_ps(outptr1 + 16, _sum12);
__m256 _r08 = _mm256_broadcast_ss(r0 + 7);
__m256 _r18 = _mm256_broadcast_ss(r1 + 7);
__m256 _r28 = _mm256_broadcast_ss(r2 + 7);
__m256 _r09 = _mm256_broadcast_ss(r0 + 8);
__m256 _r19 = _mm256_broadcast_ss(r1 + 8);
__m256 _r29 = _mm256_broadcast_ss(r2 + 8);
__m256 _sum03 = _mm256_loadu_ps(outptr0 + 24);
__m256 _sum13 = _mm256_loadu_ps(outptr1 + 24);
_sum03 = _mm256_fmadd_ps(_r07, _k00_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r08, _k01_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r09, _k02_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r17, _k10_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r18, _k11_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r19, _k12_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r27, _k20_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r28, _k21_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r29, _k22_0, _sum03);
_sum13 = _mm256_fmadd_ps(_r07, _k00_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r08, _k01_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r09, _k02_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r17, _k10_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r18, _k11_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r19, _k12_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r27, _k20_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r28, _k21_1, _sum13);
_sum13 = _mm256_fmadd_ps(_r29, _k22_1, _sum13);
_mm256_storeu_ps(outptr0 + 24, _sum03);
_mm256_storeu_ps(outptr1 + 24, _sum13);
r0 += 8;
r1 += 8;
r2 += 8;
outptr0 += 32;
outptr1 += 32;
}
for (; j + 1 < outw; j += 2)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _sum10 = _mm256_loadu_ps(outptr1);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_sum10 = _mm256_fmadd_ps(_r01, _k00_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r02, _k01_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r03, _k02_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r11, _k10_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r12, _k11_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r13, _k12_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r21, _k20_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r22, _k21_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r23, _k22_1, _sum10);
_mm256_storeu_ps(outptr0, _sum00);
_mm256_storeu_ps(outptr1, _sum10);
__m256 _sum01 = _mm256_loadu_ps(outptr0 + 8);
__m256 _sum11 = _mm256_loadu_ps(outptr1 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
__m256 _r05 = _mm256_broadcast_ss(r0 + 4);
__m256 _r15 = _mm256_broadcast_ss(r1 + 4);
__m256 _r25 = _mm256_broadcast_ss(r2 + 4);
_sum01 = _mm256_fmadd_ps(_r03, _k00_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r04, _k01_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r05, _k02_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r13, _k10_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r14, _k11_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r15, _k12_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r23, _k20_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r24, _k21_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r25, _k22_0, _sum01);
_sum11 = _mm256_fmadd_ps(_r03, _k00_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r04, _k01_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r05, _k02_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r13, _k10_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r14, _k11_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r15, _k12_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r23, _k20_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r24, _k21_1, _sum11);
_sum11 = _mm256_fmadd_ps(_r25, _k22_1, _sum11);
_mm256_storeu_ps(outptr0 + 8, _sum01);
_mm256_storeu_ps(outptr1 + 8, _sum11);
r0 += 4;
r1 += 4;
r2 += 4;
outptr0 += 16;
outptr1 += 16;
}
for (; j < outw; j++)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _sum10 = _mm256_loadu_ps(outptr1);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_sum10 = _mm256_fmadd_ps(_r01, _k00_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r02, _k01_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r03, _k02_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r11, _k10_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r12, _k11_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r13, _k12_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r21, _k20_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r22, _k21_1, _sum10);
_sum10 = _mm256_fmadd_ps(_r23, _k22_1, _sum10);
_mm256_storeu_ps(outptr0, _sum00);
_mm256_storeu_ps(outptr1, _sum10);
r0 += 2;
r1 += 2;
r2 += 2;
outptr0 += 8;
outptr1 += 8;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
k0 += 9 * 8;
k1 += 9 * 8;
}
}
#pragma omp parallel for num_threads(opt.num_threads)
for (int p = remain_outch_start; p < outch; p++)
{
Mat out0 = top_blob.channel(p);
__m256 _bias0 = bias ? _mm256_loadu_ps((const float*)bias + p * 8) : _mm256_set1_ps(0.f);
out0.fill(_bias0);
//fp16
const unsigned short* k0 = (const unsigned short*)kernel.channel(p);
for (int q = 0; q < inch; q++)
{
float* outptr0 = out0.row(0);
const Mat img0 = bottom_blob.channel(q);
const float* r0 = img0.row(0);
const float* r1 = img0.row(1);
const float* r2 = img0.row(2);
__m256 _k00_0 = loadfp16(k0);
__m256 _k01_0 = loadfp16(k0 + 8);
__m256 _k02_0 = loadfp16(k0 + 16);
__m256 _k10_0 = loadfp16(k0 + 24);
__m256 _k11_0 = loadfp16(k0 + 32);
__m256 _k12_0 = loadfp16(k0 + 40);
__m256 _k20_0 = loadfp16(k0 + 48);
__m256 _k21_0 = loadfp16(k0 + 56);
__m256 _k22_0 = loadfp16(k0 + 64);
int i = 0;
for (; i < outh; i++)
{
int j = 0;
for (; j + 7 < outw; j += 8)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_mm256_storeu_ps(outptr0, _sum00);
__m256 _sum01 = _mm256_loadu_ps(outptr0 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
__m256 _r05 = _mm256_broadcast_ss(r0 + 4);
__m256 _r15 = _mm256_broadcast_ss(r1 + 4);
__m256 _r25 = _mm256_broadcast_ss(r2 + 4);
_sum01 = _mm256_fmadd_ps(_r03, _k00_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r04, _k01_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r05, _k02_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r13, _k10_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r14, _k11_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r15, _k12_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r23, _k20_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r24, _k21_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r25, _k22_0, _sum01);
_mm256_storeu_ps(outptr0 + 8, _sum01);
__m256 _sum02 = _mm256_loadu_ps(outptr0 + 16);
__m256 _r06 = _mm256_broadcast_ss(r0 + 5);
__m256 _r16 = _mm256_broadcast_ss(r1 + 5);
__m256 _r26 = _mm256_broadcast_ss(r2 + 5);
__m256 _r07 = _mm256_broadcast_ss(r0 + 6);
__m256 _r17 = _mm256_broadcast_ss(r1 + 6);
__m256 _r27 = _mm256_broadcast_ss(r2 + 6);
_sum02 = _mm256_fmadd_ps(_r05, _k00_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r06, _k01_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r07, _k02_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r15, _k10_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r16, _k11_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r17, _k12_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r25, _k20_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r26, _k21_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r27, _k22_0, _sum02);
_mm256_storeu_ps(outptr0 + 16, _sum02);
__m256 _r08 = _mm256_broadcast_ss(r0 + 7);
__m256 _r18 = _mm256_broadcast_ss(r1 + 7);
__m256 _r28 = _mm256_broadcast_ss(r2 + 7);
__m256 _r09 = _mm256_broadcast_ss(r0 + 8);
__m256 _r19 = _mm256_broadcast_ss(r1 + 8);
__m256 _r29 = _mm256_broadcast_ss(r2 + 8);
__m256 _sum03 = _mm256_loadu_ps(outptr0 + 24);
_sum03 = _mm256_fmadd_ps(_r07, _k00_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r08, _k01_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r09, _k02_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r17, _k10_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r18, _k11_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r19, _k12_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r27, _k20_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r28, _k21_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r29, _k22_0, _sum03);
_mm256_storeu_ps(outptr0 + 24, _sum03);
__m256 _r010 = _mm256_broadcast_ss(r0 + 9);
__m256 _r110 = _mm256_broadcast_ss(r1 + 9);
__m256 _r210 = _mm256_broadcast_ss(r2 + 9);
__m256 _r011 = _mm256_broadcast_ss(r0 + 10);
__m256 _r111 = _mm256_broadcast_ss(r1 + 10);
__m256 _r211 = _mm256_broadcast_ss(r2 + 10);
__m256 _sum04 = _mm256_loadu_ps(outptr0 + 32);
_sum04 = _mm256_fmadd_ps(_r09, _k00_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r010, _k01_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r011, _k02_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r19, _k10_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r110, _k11_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r111, _k12_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r29, _k20_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r210, _k21_0, _sum04);
_sum04 = _mm256_fmadd_ps(_r211, _k22_0, _sum04);
_mm256_storeu_ps(outptr0 + 32, _sum04);
__m256 _r012 = _mm256_broadcast_ss(r0 + 11);
__m256 _r112 = _mm256_broadcast_ss(r1 + 11);
__m256 _r212 = _mm256_broadcast_ss(r2 + 11);
__m256 _r013 = _mm256_broadcast_ss(r0 + 12);
__m256 _r113 = _mm256_broadcast_ss(r1 + 12);
__m256 _r213 = _mm256_broadcast_ss(r2 + 12);
__m256 _sum05 = _mm256_loadu_ps(outptr0 + 40);
_sum05 = _mm256_fmadd_ps(_r011, _k00_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r012, _k01_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r013, _k02_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r111, _k10_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r112, _k11_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r113, _k12_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r211, _k20_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r212, _k21_0, _sum05);
_sum05 = _mm256_fmadd_ps(_r213, _k22_0, _sum05);
_mm256_storeu_ps(outptr0 + 40, _sum05);
__m256 _r014 = _mm256_broadcast_ss(r0 + 13);
__m256 _r114 = _mm256_broadcast_ss(r1 + 13);
__m256 _r214 = _mm256_broadcast_ss(r2 + 13);
__m256 _r015 = _mm256_broadcast_ss(r0 + 14);
__m256 _r115 = _mm256_broadcast_ss(r1 + 14);
__m256 _r215 = _mm256_broadcast_ss(r2 + 14);
__m256 _sum06 = _mm256_loadu_ps(outptr0 + 48);
_sum06 = _mm256_fmadd_ps(_r013, _k00_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r014, _k01_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r015, _k02_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r113, _k10_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r114, _k11_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r115, _k12_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r213, _k20_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r214, _k21_0, _sum06);
_sum06 = _mm256_fmadd_ps(_r215, _k22_0, _sum06);
_mm256_storeu_ps(outptr0 + 48, _sum06);
__m256 _r016 = _mm256_broadcast_ss(r0 + 15);
__m256 _r116 = _mm256_broadcast_ss(r1 + 15);
__m256 _r216 = _mm256_broadcast_ss(r2 + 15);
__m256 _r017 = _mm256_broadcast_ss(r0 + 16);
__m256 _r117 = _mm256_broadcast_ss(r1 + 16);
__m256 _r217 = _mm256_broadcast_ss(r2 + 16);
__m256 _sum07 = _mm256_loadu_ps(outptr0 + 56);
_sum07 = _mm256_fmadd_ps(_r015, _k00_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r016, _k01_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r017, _k02_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r115, _k10_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r116, _k11_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r117, _k12_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r215, _k20_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r216, _k21_0, _sum07);
_sum07 = _mm256_fmadd_ps(_r217, _k22_0, _sum07);
_mm256_storeu_ps(outptr0 + 56, _sum07);
r0 += 16;
r1 += 16;
r2 += 16;
outptr0 += 64;
}
for (; j + 3 < outw; j += 4)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_mm256_storeu_ps(outptr0, _sum00);
__m256 _sum01 = _mm256_loadu_ps(outptr0 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
__m256 _r05 = _mm256_broadcast_ss(r0 + 4);
__m256 _r15 = _mm256_broadcast_ss(r1 + 4);
__m256 _r25 = _mm256_broadcast_ss(r2 + 4);
_sum01 = _mm256_fmadd_ps(_r03, _k00_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r04, _k01_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r05, _k02_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r13, _k10_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r14, _k11_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r15, _k12_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r23, _k20_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r24, _k21_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r25, _k22_0, _sum01);
_mm256_storeu_ps(outptr0 + 8, _sum01);
__m256 _sum02 = _mm256_loadu_ps(outptr0 + 16);
__m256 _r06 = _mm256_broadcast_ss(r0 + 5);
__m256 _r16 = _mm256_broadcast_ss(r1 + 5);
__m256 _r26 = _mm256_broadcast_ss(r2 + 5);
__m256 _r07 = _mm256_broadcast_ss(r0 + 6);
__m256 _r17 = _mm256_broadcast_ss(r1 + 6);
__m256 _r27 = _mm256_broadcast_ss(r2 + 6);
_sum02 = _mm256_fmadd_ps(_r05, _k00_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r06, _k01_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r07, _k02_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r15, _k10_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r16, _k11_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r17, _k12_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r25, _k20_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r26, _k21_0, _sum02);
_sum02 = _mm256_fmadd_ps(_r27, _k22_0, _sum02);
_mm256_storeu_ps(outptr0 + 16, _sum02);
__m256 _r08 = _mm256_broadcast_ss(r0 + 7);
__m256 _r18 = _mm256_broadcast_ss(r1 + 7);
__m256 _r28 = _mm256_broadcast_ss(r2 + 7);
__m256 _r09 = _mm256_broadcast_ss(r0 + 8);
__m256 _r19 = _mm256_broadcast_ss(r1 + 8);
__m256 _r29 = _mm256_broadcast_ss(r2 + 8);
__m256 _sum03 = _mm256_loadu_ps(outptr0 + 24);
_sum03 = _mm256_fmadd_ps(_r07, _k00_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r08, _k01_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r09, _k02_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r17, _k10_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r18, _k11_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r19, _k12_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r27, _k20_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r28, _k21_0, _sum03);
_sum03 = _mm256_fmadd_ps(_r29, _k22_0, _sum03);
_mm256_storeu_ps(outptr0 + 24, _sum03);
r0 += 8;
r1 += 8;
r2 += 8;
outptr0 += 32;
}
for (; j + 1 < outw; j += 2)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_mm256_storeu_ps(outptr0, _sum00);
__m256 _sum01 = _mm256_loadu_ps(outptr0 + 8);
__m256 _r04 = _mm256_broadcast_ss(r0 + 3);
__m256 _r14 = _mm256_broadcast_ss(r1 + 3);
__m256 _r24 = _mm256_broadcast_ss(r2 + 3);
__m256 _r05 = _mm256_broadcast_ss(r0 + 4);
__m256 _r15 = _mm256_broadcast_ss(r1 + 4);
__m256 _r25 = _mm256_broadcast_ss(r2 + 4);
_sum01 = _mm256_fmadd_ps(_r03, _k00_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r04, _k01_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r05, _k02_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r13, _k10_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r14, _k11_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r15, _k12_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r23, _k20_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r24, _k21_0, _sum01);
_sum01 = _mm256_fmadd_ps(_r25, _k22_0, _sum01);
_mm256_storeu_ps(outptr0 + 8, _sum01);
r0 += 4;
r1 += 4;
r2 += 4;
outptr0 += 16;
}
for (; j < outw; j++)
{
__m256 _sum00 = _mm256_loadu_ps(outptr0);
__m256 _r01 = _mm256_broadcast_ss(r0);
__m256 _r02 = _mm256_broadcast_ss(r0 + 1);
__m256 _r03 = _mm256_broadcast_ss(r0 + 2);
__m256 _r11 = _mm256_broadcast_ss(r1);
__m256 _r12 = _mm256_broadcast_ss(r1 + 1);
__m256 _r13 = _mm256_broadcast_ss(r1 + 2);
__m256 _r21 = _mm256_broadcast_ss(r2);
__m256 _r22 = _mm256_broadcast_ss(r2 + 1);
__m256 _r23 = _mm256_broadcast_ss(r2 + 2);
_sum00 = _mm256_fmadd_ps(_r01, _k00_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r02, _k01_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r03, _k02_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r11, _k10_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r12, _k11_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r13, _k12_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r21, _k20_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r22, _k21_0, _sum00);
_sum00 = _mm256_fmadd_ps(_r23, _k22_0, _sum00);
_mm256_storeu_ps(outptr0, _sum00);
r0 += 2;
r1 += 2;
r2 += 2;
outptr0 += 8;
}
r0 += tailstep;
r1 += tailstep;
r2 += tailstep;
}
k0 += 9 * 8;
}
}
}
|
struct_innerprod.c | /*BHEADER**********************************************************************
* Copyright (c) 2008, Lawrence Livermore National Security, LLC.
* Produced at the Lawrence Livermore National Laboratory.
* This file is part of HYPRE. See file COPYRIGHT for details.
*
* HYPRE is free software; you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License (as published by the Free
* Software Foundation) version 2.1 dated February 1999.
*
* $Revision: 2.11 $
***********************************************************************EHEADER*/
/******************************************************************************
*
* Structured inner product routine
*
*****************************************************************************/
#include "_hypre_struct_mv.h"
/*--------------------------------------------------------------------------
* hypre_StructInnerProd
*--------------------------------------------------------------------------*/
#ifdef HYPRE_USE_PTHREADS
double *local_result_ref[hypre_MAX_THREADS];
#endif
double
hypre_StructInnerProd( hypre_StructVector *x,
hypre_StructVector *y )
{
double final_innerprod_result;
double local_result;
double process_result;
hypre_Box *x_data_box;
hypre_Box *y_data_box;
HYPRE_Int xi;
HYPRE_Int yi;
double *xp;
double *yp;
hypre_BoxArray *boxes;
hypre_Box *box;
hypre_Index loop_size;
hypre_IndexRef start;
hypre_Index unit_stride;
HYPRE_Int i;
#ifdef HYPRE_USE_PTHREADS
HYPRE_Int threadid = hypre_GetThreadID();
#endif
local_result = 0.0;
process_result = 0.0;
hypre_SetIndex(unit_stride, 1, 1, 1);
boxes = hypre_StructGridBoxes(hypre_StructVectorGrid(y));
hypre_ForBoxI(i, boxes)
{
box = hypre_BoxArrayBox(boxes, i);
start = hypre_BoxIMin(box);
x_data_box = hypre_BoxArrayBox(hypre_StructVectorDataSpace(x), i);
y_data_box = hypre_BoxArrayBox(hypre_StructVectorDataSpace(y), i);
xp = hypre_StructVectorBoxData(x, i);
yp = hypre_StructVectorBoxData(y, i);
hypre_BoxGetSize(box, loop_size);
#ifdef HYPRE_USE_PTHREADS
local_result_ref[threadid] = &local_result;
#endif
hypre_BoxLoop2Begin(hypre_StructVectorDim(x), loop_size,
x_data_box, start, unit_stride, xi,
y_data_box, start, unit_stride, yi);
#ifdef HYPRE_USING_OPENMP
#pragma omp parallel for private(HYPRE_BOX_PRIVATE,xi,yi) reduction(+:local_result) HYPRE_SMP_SCHEDULE
#endif
hypre_BoxLoop2For(xi, yi)
{
local_result += xp[xi] * yp[yi];
}
hypre_BoxLoop2End(xi, yi);
}
#ifdef HYPRE_USE_PTHREADS
if (threadid != hypre_NumThreads)
{
for (i = 0; i < hypre_NumThreads; i++)
process_result += *local_result_ref[i];
}
else
process_result = *local_result_ref[threadid];
#else
process_result = local_result;
#endif
hypre_MPI_Allreduce(&process_result, &final_innerprod_result, 1,
hypre_MPI_DOUBLE, hypre_MPI_SUM, hypre_StructVectorComm(x));
#ifdef HYPRE_USE_PTHREADS
if (threadid == 0 || threadid == hypre_NumThreads)
#endif
hypre_IncFLOPCount(2*hypre_StructVectorGlobalSize(x));
return final_innerprod_result;
}
|
millionaire.h | /*
Authors: Deevashwer Rathee, Mayank Rathee
Copyright:
Copyright (c) 2021 Microsoft Research
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
*/
#ifndef MILLIONAIRE_H__
#define MILLIONAIRE_H__
#include "Millionaire/bit-triple-generator.h"
#include "OT/emp-ot.h"
#include "utils/emp-tool.h"
#include <cmath>
#include <omp.h>
#define MILL_PARAM 4
#define WAN_EXEC
class MillionaireProtocol {
public:
sci::IOPack *iopack;
sci::OTPack *otpack;
TripleGenerator *triple_gen;
int party;
int l, r, log_alpha, beta, beta_pow;
int num_digits, num_triples_corr, num_triples_std, log_num_digits;
int num_triples;
uint8_t mask_beta, mask_r;
MillionaireProtocol(int party, sci::IOPack *iopack, sci::OTPack *otpack,
int bitlength = 32, int radix_base = MILL_PARAM) {
this->party = party;
this->iopack = iopack;
this->otpack = otpack;
this->triple_gen = new TripleGenerator(party, iopack, otpack);
configure(bitlength, radix_base);
}
void configure(int bitlength, int radix_base = MILL_PARAM) {
assert(radix_base <= 8);
assert(bitlength <= 64);
this->l = bitlength;
this->beta = radix_base;
this->num_digits = ceil((double)l / beta);
this->r = l % beta;
this->log_alpha = sci::bitlen(num_digits) - 1;
this->log_num_digits = log_alpha + 1;
this->num_triples_corr = 2 * num_digits - 2 - 2 * log_num_digits;
this->num_triples_std = log_num_digits;
this->num_triples = num_triples_std + num_triples_corr;
if (beta == 8)
this->mask_beta = -1;
else
this->mask_beta = (1 << beta) - 1;
this->mask_r = (1 << r) - 1;
this->beta_pow = 1 << beta;
}
~MillionaireProtocol() { delete triple_gen; }
void compare(uint8_t *res, uint64_t *data, int num_cmps, int bitlength,
bool greater_than = true, bool equality = false,
int radix_base = MILL_PARAM) {
configure(bitlength, radix_base);
if (bitlength <= beta) {
uint8_t N = 1 << bitlength;
uint8_t mask = N - 1;
if (party == sci::ALICE) {
sci::PRG128 prg;
prg.random_data(res, num_cmps * sizeof(uint8_t));
uint8_t **leaf_messages = new uint8_t *[num_cmps];
for (int i = 0; i < num_cmps; i++) {
res[i] &= 1;
leaf_messages[i] = new uint8_t[N];
for (int j = 0; j < N; j++) {
if (greater_than) {
leaf_messages[i][j] = ((uint8_t(data[i] & mask) > j) ^ res[i]);
} else {
leaf_messages[i][j] = ((uint8_t(data[i] & mask) < j) ^ res[i]);
}
}
}
if (bitlength > 1) {
otpack->kkot[bitlength - 1]->send(leaf_messages, num_cmps, 1);
} else {
otpack->iknp_straight->send(leaf_messages, num_cmps, 1);
}
for (int i = 0; i < num_cmps; i++)
delete[] leaf_messages[i];
delete[] leaf_messages;
} else { // party == BOB
uint8_t *choice = new uint8_t[num_cmps];
for (int i = 0; i < num_cmps; i++) {
choice[i] = data[i] & mask;
}
if (bitlength > 1) {
otpack->kkot[bitlength - 1]->recv(res, choice, num_cmps, 1);
} else {
otpack->iknp_straight->recv(res, choice, num_cmps, 1);
}
delete[] choice;
}
return;
}
int old_num_cmps = num_cmps;
// num_cmps should be a multiple of 8
num_cmps = ceil(num_cmps / 8.0) * 8;
uint64_t *data_ext;
if (old_num_cmps == num_cmps)
data_ext = data;
else {
data_ext = new uint64_t[num_cmps];
memcpy(data_ext, data, old_num_cmps * sizeof(uint64_t));
memset(data_ext + old_num_cmps, 0,
(num_cmps - old_num_cmps) * sizeof(uint64_t));
}
uint8_t *digits; // num_digits * num_cmps
uint8_t *leaf_res_cmp; // num_digits * num_cmps
uint8_t *leaf_res_eq; // num_digits * num_cmps
digits = new uint8_t[num_digits * num_cmps];
leaf_res_cmp = new uint8_t[num_digits * num_cmps];
leaf_res_eq = new uint8_t[num_digits * num_cmps];
// Extract radix-digits from data
for (int i = 0; i < num_digits; i++) // Stored from LSB to MSB
for (int j = 0; j < num_cmps; j++)
if ((i == num_digits - 1) && (r != 0))
digits[i * num_cmps + j] =
(uint8_t)(data_ext[j] >> i * beta) & mask_r;
else
digits[i * num_cmps + j] =
(uint8_t)(data_ext[j] >> i * beta) & mask_beta;
if (party == sci::ALICE) {
uint8_t *
*leaf_ot_messages; // (num_digits * num_cmps) X beta_pow (=2^beta)
leaf_ot_messages = new uint8_t *[num_digits * num_cmps];
for (int i = 0; i < num_digits * num_cmps; i++)
leaf_ot_messages[i] = new uint8_t[beta_pow];
// Set Leaf OT messages
triple_gen->prg->random_bool((bool *)leaf_res_cmp, num_digits * num_cmps);
triple_gen->prg->random_bool((bool *)leaf_res_eq, num_digits * num_cmps);
for (int i = 0; i < num_digits; i++) {
for (int j = 0; j < num_cmps; j++) {
if (i == 0) {
set_leaf_ot_messages(leaf_ot_messages[i * num_cmps + j],
digits[i * num_cmps + j], beta_pow,
leaf_res_cmp[i * num_cmps + j], 0,
greater_than, false);
} else if (i == (num_digits - 1) && (r > 0)) {
#ifdef WAN_EXEC
set_leaf_ot_messages(leaf_ot_messages[i * num_cmps + j],
digits[i * num_cmps + j], beta_pow,
leaf_res_cmp[i * num_cmps + j],
leaf_res_eq[i * num_cmps + j], greater_than);
#else
set_leaf_ot_messages(leaf_ot_messages[i * num_cmps + j],
digits[i * num_cmps + j], 1 << r,
leaf_res_cmp[i * num_cmps + j],
leaf_res_eq[i * num_cmps + j], greater_than);
#endif
} else {
set_leaf_ot_messages(leaf_ot_messages[i * num_cmps + j],
digits[i * num_cmps + j], beta_pow,
leaf_res_cmp[i * num_cmps + j],
leaf_res_eq[i * num_cmps + j], greater_than);
}
}
}
// Perform Leaf OTs
#ifdef WAN_EXEC
// otpack->kkot_beta->send(leaf_ot_messages, num_cmps*(num_digits), 2);
otpack->kkot[beta - 1]->send(leaf_ot_messages, num_cmps * (num_digits),
2);
#else
// otpack->kkot_beta->send(leaf_ot_messages, num_cmps, 1);
otpack->kkot[beta - 1]->send(leaf_ot_messages, num_cmps, 1);
if (r == 1) {
// otpack->kkot_beta->send(leaf_ot_messages+num_cmps,
// num_cmps*(num_digits-2), 2);
otpack->kkot[beta - 1]->send(leaf_ot_messages + num_cmps,
num_cmps * (num_digits - 2), 2);
otpack->iknp_straight->send(
leaf_ot_messages + num_cmps * (num_digits - 1), num_cmps, 2);
} else if (r != 0) {
// otpack->kkot_beta->send(leaf_ot_messages+num_cmps,
// num_cmps*(num_digits-2), 2);
otpack->kkot[beta - 1]->send(leaf_ot_messages + num_cmps,
num_cmps * (num_digits - 2), 2);
otpack->kkot[r - 1]->send(
leaf_ot_messages + num_cmps * (num_digits - 1), num_cmps, 2);
} else {
// otpack->kkot_beta->send(leaf_ot_messages+num_cmps,
// num_cmps*(num_digits-1), 2);
otpack->kkot[beta - 1]->send(leaf_ot_messages + num_cmps,
num_cmps * (num_digits - 1), 2);
}
#endif
// Cleanup
for (int i = 0; i < num_digits * num_cmps; i++)
delete[] leaf_ot_messages[i];
delete[] leaf_ot_messages;
} else // party = sci::BOB
{
// Perform Leaf OTs
#ifdef WAN_EXEC
// otpack->kkot_beta->recv(leaf_res_cmp, digits, num_cmps*(num_digits),
// 2);
otpack->kkot[beta - 1]->recv(leaf_res_cmp, digits,
num_cmps * (num_digits), 2);
#else
// otpack->kkot_beta->recv(leaf_res_cmp, digits, num_cmps, 1);
otpack->kkot[beta - 1]->recv(leaf_res_cmp, digits, num_cmps, 1);
if (r == 1) {
// otpack->kkot_beta->recv(leaf_res_cmp+num_cmps, digits+num_cmps,
// num_cmps*(num_digits-2), 2);
otpack->kkot[beta - 1]->recv(leaf_res_cmp + num_cmps, digits + num_cmps,
num_cmps * (num_digits - 2), 2);
otpack->iknp_straight->recv(leaf_res_cmp + num_cmps * (num_digits - 1),
digits + num_cmps * (num_digits - 1),
num_cmps, 2);
} else if (r != 0) {
// otpack->kkot_beta->recv(leaf_res_cmp+num_cmps, digits+num_cmps,
// num_cmps*(num_digits-2), 2);
otpack->kkot[beta - 1]->recv(leaf_res_cmp + num_cmps, digits + num_cmps,
num_cmps * (num_digits - 2), 2);
otpack->kkot[r - 1]->recv(leaf_res_cmp + num_cmps * (num_digits - 1),
digits + num_cmps * (num_digits - 1),
num_cmps, 2);
} else {
// otpack->kkot_beta->recv(leaf_res_cmp+num_cmps, digits+num_cmps,
// num_cmps*(num_digits-1), 2);
otpack->kkot[beta - 1]->recv(leaf_res_cmp + num_cmps, digits + num_cmps,
num_cmps * (num_digits - 1), 2);
}
#endif
// Extract equality result from leaf_res_cmp
for (int i = num_cmps; i < num_digits * num_cmps; i++) {
leaf_res_eq[i] = leaf_res_cmp[i] & 1;
leaf_res_cmp[i] >>= 1;
}
}
traverse_and_compute_ANDs(num_cmps, leaf_res_eq, leaf_res_cmp);
for (int i = 0; i < old_num_cmps; i++)
res[i] = leaf_res_cmp[i];
// Cleanup
if (old_num_cmps != num_cmps)
delete[] data_ext;
delete[] digits;
delete[] leaf_res_cmp;
delete[] leaf_res_eq;
}
void set_leaf_ot_messages(uint8_t *ot_messages, uint8_t digit, int N,
uint8_t mask_cmp, uint8_t mask_eq,
bool greater_than, bool eq = true) {
for (int i = 0; i < N; i++) {
if (greater_than) {
ot_messages[i] = ((digit > i) ^ mask_cmp);
} else {
ot_messages[i] = ((digit < i) ^ mask_cmp);
}
if (eq) {
ot_messages[i] = (ot_messages[i] << 1) | ((digit == i) ^ mask_eq);
}
}
}
/**************************************************************************************************
* AND computation related functions
**************************************************************************************************/
void traverse_and_compute_ANDs(int num_cmps, uint8_t *leaf_res_eq,
uint8_t *leaf_res_cmp) {
#ifdef WAN_EXEC
Triple triples_std((num_triples)*num_cmps, true);
#else
Triple triples_corr(num_triples_corr * num_cmps, true, num_cmps);
Triple triples_std(num_triples_std * num_cmps, true);
#endif
// Generate required Bit-Triples
#ifdef WAN_EXEC
// std::cout<<"Running on WAN_EXEC; Skipping correlated triples"<<std::endl;
triple_gen->generate(party, &triples_std, _16KKOT_to_4OT);
#else
triple_gen->generate(party, &triples_corr, _8KKOT);
triple_gen->generate(party, &triples_std, _16KKOT_to_4OT);
#endif
// std::cout << "Bit Triples Generated" << std::endl;
// Combine leaf OT results in a bottom-up fashion
int counter_std = 0, old_counter_std = 0;
int counter_corr = 0, old_counter_corr = 0;
int counter_combined = 0, old_counter_combined = 0;
uint8_t *ei = new uint8_t[(num_triples * num_cmps) / 8];
uint8_t *fi = new uint8_t[(num_triples * num_cmps) / 8];
uint8_t *e = new uint8_t[(num_triples * num_cmps) / 8];
uint8_t *f = new uint8_t[(num_triples * num_cmps) / 8];
for (int i = 1; i < num_digits; i *= 2) {
for (int j = 0; j < num_digits and j + i < num_digits; j += 2 * i) {
if (j == 0) {
#ifdef WAN_EXEC
AND_step_1(
ei + (counter_std * num_cmps) / 8,
fi + (counter_std * num_cmps) / 8, leaf_res_cmp + j * num_cmps,
leaf_res_eq + (j + i) * num_cmps,
(triples_std.ai) + (counter_combined * num_cmps) / 8,
(triples_std.bi) + (counter_combined * num_cmps) / 8, num_cmps);
counter_std++;
counter_combined++;
#else
AND_step_1(ei + (counter_std * num_cmps) / 8,
fi + (counter_std * num_cmps) / 8,
leaf_res_cmp + j * num_cmps,
leaf_res_eq + (j + i) * num_cmps,
(triples_std.ai) + (counter_std * num_cmps) / 8,
(triples_std.bi) + (counter_std * num_cmps) / 8, num_cmps);
counter_std++;
#endif
} else {
#ifdef WAN_EXEC
AND_step_1(
ei + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
fi + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
leaf_res_cmp + j * num_cmps, leaf_res_eq + (j + i) * num_cmps,
(triples_std.ai) + (counter_combined * num_cmps) / 8,
(triples_std.bi) + (counter_combined * num_cmps) / 8, num_cmps);
counter_combined++;
AND_step_1(
ei + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
fi + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
leaf_res_eq + j * num_cmps, leaf_res_eq + (j + i) * num_cmps,
(triples_std.ai) + (counter_combined * num_cmps) / 8,
(triples_std.bi) + (counter_combined * num_cmps) / 8, num_cmps);
counter_combined++;
counter_corr++;
#else
AND_step_1(
ei + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
fi + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
leaf_res_cmp + j * num_cmps, leaf_res_eq + (j + i) * num_cmps,
(triples_corr.ai) + (2 * counter_corr * num_cmps) / 8,
(triples_corr.bi) + (2 * counter_corr * num_cmps) / 8, num_cmps);
AND_step_1(
ei + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
fi + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
leaf_res_eq + j * num_cmps, leaf_res_eq + (j + i) * num_cmps,
(triples_corr.ai) + ((2 * counter_corr + 1) * num_cmps) / 8,
(triples_corr.bi) + ((2 * counter_corr + 1) * num_cmps) / 8,
num_cmps);
counter_corr++;
#endif
}
}
int offset_std = (old_counter_std * num_cmps) / 8;
int size_std = ((counter_std - old_counter_std) * num_cmps) / 8;
int offset_corr =
((num_triples_std + 2 * old_counter_corr) * num_cmps) / 8;
int size_corr = (2 * (counter_corr - old_counter_corr) * num_cmps) / 8;
#pragma omp parallel num_threads(2)
{
if (omp_get_thread_num() == 1) {
if (party == sci::ALICE) {
iopack->io_rev->recv_data(e + offset_std, size_std);
iopack->io_rev->recv_data(e + offset_corr, size_corr);
iopack->io_rev->recv_data(f + offset_std, size_std);
iopack->io_rev->recv_data(f + offset_corr, size_corr);
} else { // party == sci::BOB
iopack->io_rev->send_data(ei + offset_std, size_std);
iopack->io_rev->send_data(ei + offset_corr, size_corr);
iopack->io_rev->send_data(fi + offset_std, size_std);
iopack->io_rev->send_data(fi + offset_corr, size_corr);
}
} else {
if (party == sci::ALICE) {
iopack->io->send_data(ei + offset_std, size_std);
iopack->io->send_data(ei + offset_corr, size_corr);
iopack->io->send_data(fi + offset_std, size_std);
iopack->io->send_data(fi + offset_corr, size_corr);
} else { // party == sci::BOB
iopack->io->recv_data(e + offset_std, size_std);
iopack->io->recv_data(e + offset_corr, size_corr);
iopack->io->recv_data(f + offset_std, size_std);
iopack->io->recv_data(f + offset_corr, size_corr);
}
}
}
for (int i = 0; i < size_std; i++) {
e[i + offset_std] ^= ei[i + offset_std];
f[i + offset_std] ^= fi[i + offset_std];
}
for (int i = 0; i < size_corr; i++) {
e[i + offset_corr] ^= ei[i + offset_corr];
f[i + offset_corr] ^= fi[i + offset_corr];
}
counter_std = old_counter_std;
counter_corr = old_counter_corr;
#ifdef WAN_EXEC
counter_combined = old_counter_combined;
#endif
for (int j = 0; j < num_digits and j + i < num_digits; j += 2 * i) {
if (j == 0) {
#ifdef WAN_EXEC
AND_step_2(
leaf_res_cmp + j * num_cmps, e + (counter_std * num_cmps) / 8,
f + (counter_std * num_cmps) / 8,
ei + (counter_std * num_cmps) / 8,
fi + (counter_std * num_cmps) / 8,
(triples_std.ai) + (counter_combined * num_cmps) / 8,
(triples_std.bi) + (counter_combined * num_cmps) / 8,
(triples_std.ci) + (counter_combined * num_cmps) / 8, num_cmps);
counter_combined++;
#else
AND_step_2(leaf_res_cmp + j * num_cmps,
e + (counter_std * num_cmps) / 8,
f + (counter_std * num_cmps) / 8,
ei + (counter_std * num_cmps) / 8,
fi + (counter_std * num_cmps) / 8,
(triples_std.ai) + (counter_std * num_cmps) / 8,
(triples_std.bi) + (counter_std * num_cmps) / 8,
(triples_std.ci) + (counter_std * num_cmps) / 8, num_cmps);
#endif
for (int k = 0; k < num_cmps; k++)
leaf_res_cmp[j * num_cmps + k] ^=
leaf_res_cmp[(j + i) * num_cmps + k];
counter_std++;
} else {
#ifdef WAN_EXEC
AND_step_2(leaf_res_cmp + j * num_cmps,
e + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
f + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
ei + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
fi + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
(triples_std.ai) + (counter_combined * num_cmps) / 8,
(triples_std.bi) + (counter_combined * num_cmps) / 8,
(triples_std.ci) + (counter_combined * num_cmps) / 8,
num_cmps);
counter_combined++;
AND_step_2(
leaf_res_eq + j * num_cmps,
e + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
f + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
ei + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
fi + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
(triples_std.ai) + (counter_combined * num_cmps) / 8,
(triples_std.bi) + (counter_combined * num_cmps) / 8,
(triples_std.ci) + (counter_combined * num_cmps) / 8, num_cmps);
counter_combined++;
#else
AND_step_2(leaf_res_cmp + j * num_cmps,
e + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
f + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
ei + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
fi + ((num_triples_std + 2 * counter_corr) * num_cmps) / 8,
(triples_corr.ai) + (2 * counter_corr * num_cmps) / 8,
(triples_corr.bi) + (2 * counter_corr * num_cmps) / 8,
(triples_corr.ci) + (2 * counter_corr * num_cmps) / 8,
num_cmps);
AND_step_2(
leaf_res_eq + j * num_cmps,
e + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
f + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
ei + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
fi + ((num_triples_std + (2 * counter_corr + 1)) * num_cmps) / 8,
(triples_corr.ai) + ((2 * counter_corr + 1) * num_cmps) / 8,
(triples_corr.bi) + ((2 * counter_corr + 1) * num_cmps) / 8,
(triples_corr.ci) + ((2 * counter_corr + 1) * num_cmps) / 8,
num_cmps);
#endif
for (int k = 0; k < num_cmps; k++)
leaf_res_cmp[j * num_cmps + k] ^=
leaf_res_cmp[(j + i) * num_cmps + k];
counter_corr++;
}
}
old_counter_std = counter_std;
old_counter_corr = counter_corr;
#ifdef WAN_EXEC
old_counter_combined = counter_combined;
#endif
}
#ifdef WAN_EXEC
assert(counter_combined == num_triples);
#else
assert(counter_std == num_triples_std);
assert(2 * counter_corr == num_triples_corr);
#endif
// cleanup
delete[] ei;
delete[] fi;
delete[] e;
delete[] f;
}
void AND_step_1(uint8_t *ei, // evaluates batch of 8 ANDs
uint8_t *fi, uint8_t *xi, uint8_t *yi, uint8_t *ai,
uint8_t *bi, int num_ANDs) {
assert(num_ANDs % 8 == 0);
for (int i = 0; i < num_ANDs; i += 8) {
ei[i / 8] = ai[i / 8];
fi[i / 8] = bi[i / 8];
ei[i / 8] ^= sci::bool_to_uint8(xi + i, 8);
fi[i / 8] ^= sci::bool_to_uint8(yi + i, 8);
}
}
void AND_step_2(uint8_t *zi, // evaluates batch of 8 ANDs
uint8_t *e, uint8_t *f, uint8_t *ei, uint8_t *fi, uint8_t *ai,
uint8_t *bi, uint8_t *ci, int num_ANDs) {
assert(num_ANDs % 8 == 0);
for (int i = 0; i < num_ANDs; i += 8) {
uint8_t temp_z;
if (party == sci::ALICE)
temp_z = e[i / 8] & f[i / 8];
else
temp_z = 0;
temp_z ^= f[i / 8] & ai[i / 8];
temp_z ^= e[i / 8] & bi[i / 8];
temp_z ^= ci[i / 8];
sci::uint8_to_bool(zi + i, temp_z, 8);
}
}
};
#endif // MILLIONAIRE_H__
|
3d25pt_var.lbpar.c | #include <omp.h>
#include <math.h>
#define ceild(n,d) ceil(((double)(n))/((double)(d)))
#define floord(n,d) floor(((double)(n))/((double)(d)))
#define max(x,y) ((x) > (y)? (x) : (y))
#define min(x,y) ((x) < (y)? (x) : (y))
/*
* Order-1, 3D 25 point stencil with axis-symmetric ariable coefficients
* Adapted from PLUTO and Pochoir test bench
*
* Tareq Malas
*/
#include <stdio.h>
#include <stdlib.h>
#include <sys/time.h>
#ifdef LIKWID_PERFMON
#include <likwid.h>
#endif
#include "print_utils.h"
#define TESTS 2
#define MAX(a,b) ((a) > (b) ? a : b)
#define MIN(a,b) ((a) < (b) ? a : b)
/* Subtract the `struct timeval' values X and Y,
* storing the result in RESULT.
*
* Return 1 if the difference is negative, otherwise 0.
*/
int timeval_subtract(struct timeval *result, struct timeval *x, struct timeval *y)
{
/* Perform the carry for the later subtraction by updating y. */
if (x->tv_usec < y->tv_usec)
{
int nsec = (y->tv_usec - x->tv_usec) / 1000000 + 1;
y->tv_usec -= 1000000 * nsec;
y->tv_sec += nsec;
}
if (x->tv_usec - y->tv_usec > 1000000)
{
int nsec = (x->tv_usec - y->tv_usec) / 1000000;
y->tv_usec += 1000000 * nsec;
y->tv_sec -= nsec;
}
/* Compute the time remaining to wait.
* tv_usec is certainly positive.
*/
result->tv_sec = x->tv_sec - y->tv_sec;
result->tv_usec = x->tv_usec - y->tv_usec;
/* Return 1 if result is negative. */
return x->tv_sec < y->tv_sec;
}
int main(int argc, char *argv[])
{
int t, i, j, k, m, test;
int Nx, Ny, Nz, Nt;
if (argc > 3) {
Nx = atoi(argv[1])+8;
Ny = atoi(argv[2])+8;
Nz = atoi(argv[3])+8;
}
if (argc > 4)
Nt = atoi(argv[4]);
// allocate the arrays
double ****A = (double ****) malloc(sizeof(double***)*2);
for(m=0; m<2;m++){
A[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
A[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
A[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
double ****coef = (double ****) malloc(sizeof(double***)*13);
for(m=0; m<13;m++){
coef[m] = (double ***) malloc(sizeof(double**)*Nz);
for(i=0; i<Nz; i++){
coef[m][i] = (double**) malloc(sizeof(double*)*Ny);
for(j=0;j<Ny;j++){
coef[m][i][j] = (double*) malloc(sizeof(double)*Nx);
}
}
}
// tile size information, including extra element to decide the list length
int *tile_size = (int*) malloc(sizeof(int));
tile_size[0] = -1;
// The list is modified here before source-to-source transformations
tile_size = (int*) realloc((void *)tile_size, sizeof(int)*5);
tile_size[0] = 4;
tile_size[1] = 4;
tile_size[2] = 8;
tile_size[3] = 1024;
tile_size[4] = -1;
// for timekeeping
int ts_return = -1;
struct timeval start, end, result;
double tdiff = 0.0, min_tdiff=1.e100;
const int BASE = 1024;
// initialize variables
//
srand(42);
for (i = 1; i < Nz; i++) {
for (j = 1; j < Ny; j++) {
for (k = 1; k < Nx; k++) {
A[0][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
for (m=0; m<13; m++) {
for (i=1; i<Nz; i++) {
for (j=1; j<Ny; j++) {
for (k=1; k<Nx; k++) {
coef[m][i][j][k] = 1.0 * (rand() % BASE);
}
}
}
}
#ifdef LIKWID_PERFMON
LIKWID_MARKER_INIT;
#pragma omp parallel
{
LIKWID_MARKER_THREADINIT;
#pragma omp barrier
LIKWID_MARKER_START("calc");
}
#endif
int num_threads = 1;
#if defined(_OPENMP)
num_threads = omp_get_max_threads();
#endif
for(test=0; test<TESTS; test++){
gettimeofday(&start, 0);
// serial execution - Addition: 6 && Multiplication: 2
/* Copyright (C) 1991-2014 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
The GNU C Library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with the GNU C Library; if not, see
<http://www.gnu.org/licenses/>. */
/* This header is separate from features.h so that the compiler can
include it implicitly at the start of every compilation. It must
not itself include <features.h> or any other header that includes
<features.h> because the implicit include comes before any feature
test macros that may be defined in a source file before it first
explicitly includes a system header. GCC knows the name of this
header in order to preinclude it. */
/* glibc's intent is to support the IEC 559 math functionality, real
and complex. If the GCC (4.9 and later) predefined macros
specifying compiler intent are available, use them to determine
whether the overall intent is to support these features; otherwise,
presume an older compiler has intent to support these features and
define these macros by default. */
/* wchar_t uses ISO/IEC 10646 (2nd ed., published 2011-03-15) /
Unicode 6.0. */
/* We do not support C11 <threads.h>. */
int t1, t2, t3, t4, t5, t6, t7, t8;
int lb, ub, lbp, ubp, lb2, ub2;
register int lbv, ubv;
/* Start of CLooG code */
if ((Nt >= 1) && (Nx >= 9) && (Ny >= 9) && (Nz >= 9)) {
for (t1=-1;t1<=2*Nt-2;t1++) {
lbp=ceild(t1+2,2);
ubp=min(floord(4*Nt+Nz-9,4),floord(2*t1+Nz-4,4));
#pragma omp parallel for private(lbv,ubv,t3,t4,t5,t6,t7,t8)
for (t2=lbp;t2<=ubp;t2++) {
for (t3=max(ceild(t1,4),ceild(4*t2-Nz+5,8));t3<=min(min(floord(4*Nt+Ny-9,8),floord(2*t1+Ny-3,8)),floord(4*t2+Ny-9,8));t3++) {
for (t4=max(max(ceild(t1-508,512),ceild(4*t2-Nz-1011,1024)),ceild(8*t3-Ny-1011,1024));t4<=min(min(min(floord(4*Nt+Nx-9,1024),floord(2*t1+Nx-3,1024)),floord(4*t2+Nx-9,1024)),floord(8*t3+Nx-5,1024));t4++) {
for (t5=max(max(max(ceild(t1,2),ceild(4*t2-Nz+5,4)),ceild(8*t3-Ny+5,4)),ceild(1024*t4-Nx+5,4));t5<=floord(t1+1,2);t5++) {
for (t6=max(4*t2,-4*t1+4*t2+8*t5-3);t6<=min(min(4*t2+3,-4*t1+4*t2+8*t5),4*t5+Nz-5);t6++) {
for (t7=max(8*t3,4*t5+4);t7<=min(8*t3+7,4*t5+Ny-5);t7++) {
lbv=max(1024*t4,4*t5+4);
ubv=min(1024*t4+1023,4*t5+Nx-5);
#pragma ivdep
#pragma vector always
for (t8=lbv;t8<=ubv;t8++) {
A[( t5 + 1) % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] = (((((((((((((coef[0][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)]) + (coef[1][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 1][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 1][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 1][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 1][ (-4*t5+t8)]))) + (coef[3][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 1] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 1]))) + (coef[4][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 2][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 2][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[5][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 2][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 2][ (-4*t5+t8)]))) + (coef[6][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 2] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 2]))) + (coef[7][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 3][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 3][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[8][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 3][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 3][ (-4*t5+t8)]))) + (coef[9][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 3] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 3]))) + (coef[10][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6) - 4][ (-4*t5+t7)][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6) + 4][ (-4*t5+t7)][ (-4*t5+t8)]))) + (coef[11][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) - 4][ (-4*t5+t8)] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7) + 4][ (-4*t5+t8)]))) + (coef[12][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8)] * (A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) - 4] + A[ t5 % 2][ (-4*t5+t6)][ (-4*t5+t7)][ (-4*t5+t8) + 4])));;
}
}
}
}
}
}
}
}
}
/* End of CLooG code */
gettimeofday(&end, 0);
ts_return = timeval_subtract(&result, &end, &start);
tdiff = (double) (result.tv_sec + result.tv_usec * 1.0e-6);
min_tdiff = min(min_tdiff, tdiff);
printf("Rank 0 TEST# %d time: %f\n", test, tdiff);
}
PRINT_RESULTS(4, "variable axis-symmetric")
#ifdef LIKWID_PERFMON
#pragma omp parallel
{
LIKWID_MARKER_STOP("calc");
}
LIKWID_MARKER_CLOSE;
#endif
// Free allocated arrays
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(A[0][i][j]);
free(A[1][i][j]);
}
free(A[0][i]);
free(A[1][i]);
}
free(A[0]);
free(A[1]);
for(m=0; m<13;m++){
for(i=0; i<Nz; i++){
for(j=0;j<Ny;j++){
free(coef[m][i][j]);
}
free(coef[m][i]);
}
free(coef[m]);
}
return 0;
}
|
uninit-1.c | // PR 24612
// { dg-do compile }
// { dg-options "-O -Wuninitialized -fopenmp" }
void foo()
{
int i;
#pragma omp parallel shared(i)
{
i = 0;
++i;
}
}
|
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