gcc/libgfortran/generated/matmul_r16.c
Francois-Xavier Coudert 5a0aad3165 re PR fortran/26025 (Optionally use BLAS for matmul)
PR fortran/26025

	* lang.opt: Add -fexternal-blas and -fblas-matmul-limit options.
	* options.c (gfc_init_options): Initialize new flags.
	(gfc_handle_option): Handle new flags.
	* gfortran.h (gfc_option): Add flag_external_blas and
	blas_matmul_limit flags.
	* trans-expr.c (gfc_conv_function_call): Use new argument
	append_args, appending it at the end of the argument list
	built for a function call.
	* trans-stmt.c (gfc_trans_call): Use NULL_TREE for the new
	append_args argument to gfc_trans_call.
	* trans.h (gfc_conv_function_call): Update prototype.
	* trans-decl.c (gfc_build_intrinsic_function_decls): Add
	prototypes for BLAS ?gemm routines.
	* trans-intrinsic.c (gfc_conv_intrinsic_funcall): Generate the
	extra arguments given to the library matmul function, and give
	them to gfc_conv_function_call.
	* invoke.texi: Add documentation for -fexternal-blas and
	-fblas-matmul-limit.

	* m4/matmul.m4: Add possible call to gemm routine.
	* generated/matmul_r8.c: Regenerate.
	* generated/matmul_r16.c: Regenerate.
	* generated/matmul_c8.c: Regenerate.
	* generated/matmul_i8.c: Regenerate.
	* generated/matmul_c16.c: Regenerate.
	* generated/matmul_r10.c: Regenerate.
	* generated/matmul_r4.c: Regenerate.
	* generated/matmul_c10.c: Regenerate.
	* generated/matmul_c4.c: Regenerate.
	* generated/matmul_i4.c: Regenerate.
	* generated/matmul_i16.c: Regenerate.

From-SVN: r117948
2006-10-22 07:41:48 +00:00

340 lines
9.7 KiB
C

/* Implementation of the MATMUL intrinsic
Copyright 2002, 2005, 2006 Free Software Foundation, Inc.
Contributed by Paul Brook <paul@nowt.org>
This file is part of the GNU Fortran 95 runtime library (libgfortran).
Libgfortran is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
In addition to the permissions in the GNU General Public License, the
Free Software Foundation gives you unlimited permission to link the
compiled version of this file into combinations with other programs,
and to distribute those combinations without any restriction coming
from the use of this file. (The General Public License restrictions
do apply in other respects; for example, they cover modification of
the file, and distribution when not linked into a combine
executable.)
Libgfortran is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public
License along with libgfortran; see the file COPYING. If not,
write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor,
Boston, MA 02110-1301, USA. */
#include "config.h"
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include "libgfortran.h"
#if defined (HAVE_GFC_REAL_16)
/* Prototype for the BLAS ?gemm subroutine, a pointer to which can be
passed to us by the front-end, in which case we'll call it for large
matrices. */
typedef void (*blas_call)(const char *, const char *, const int *, const int *,
const int *, const GFC_REAL_16 *, const GFC_REAL_16 *,
const int *, const GFC_REAL_16 *, const int *,
const GFC_REAL_16 *, GFC_REAL_16 *, const int *,
int, int);
/* The order of loops is different in the case of plain matrix
multiplication C=MATMUL(A,B), and in the frequent special case where
the argument A is the temporary result of a TRANSPOSE intrinsic:
C=MATMUL(TRANSPOSE(A),B). Transposed temporaries are detected by
looking at their strides.
The equivalent Fortran pseudo-code is:
DIMENSION A(M,COUNT), B(COUNT,N), C(M,N)
IF (.NOT.IS_TRANSPOSED(A)) THEN
C = 0
DO J=1,N
DO K=1,COUNT
DO I=1,M
C(I,J) = C(I,J)+A(I,K)*B(K,J)
ELSE
DO J=1,N
DO I=1,M
S = 0
DO K=1,COUNT
S = S+A(I,K)*B(K,J)
C(I,J) = S
ENDIF
*/
/* If try_blas is set to a nonzero value, then the matmul function will
see if there is a way to perform the matrix multiplication by a call
to the BLAS gemm function. */
extern void matmul_r16 (gfc_array_r16 * const restrict retarray,
gfc_array_r16 * const restrict a, gfc_array_r16 * const restrict b, int try_blas,
int blas_limit, blas_call gemm);
export_proto(matmul_r16);
void
matmul_r16 (gfc_array_r16 * const restrict retarray,
gfc_array_r16 * const restrict a, gfc_array_r16 * const restrict b, int try_blas,
int blas_limit, blas_call gemm)
{
const GFC_REAL_16 * restrict abase;
const GFC_REAL_16 * restrict bbase;
GFC_REAL_16 * restrict dest;
index_type rxstride, rystride, axstride, aystride, bxstride, bystride;
index_type x, y, n, count, xcount, ycount;
assert (GFC_DESCRIPTOR_RANK (a) == 2
|| GFC_DESCRIPTOR_RANK (b) == 2);
/* C[xcount,ycount] = A[xcount, count] * B[count,ycount]
Either A or B (but not both) can be rank 1:
o One-dimensional argument A is implicitly treated as a row matrix
dimensioned [1,count], so xcount=1.
o One-dimensional argument B is implicitly treated as a column matrix
dimensioned [count, 1], so ycount=1.
*/
if (retarray->data == NULL)
{
if (GFC_DESCRIPTOR_RANK (a) == 1)
{
retarray->dim[0].lbound = 0;
retarray->dim[0].ubound = b->dim[1].ubound - b->dim[1].lbound;
retarray->dim[0].stride = 1;
}
else if (GFC_DESCRIPTOR_RANK (b) == 1)
{
retarray->dim[0].lbound = 0;
retarray->dim[0].ubound = a->dim[0].ubound - a->dim[0].lbound;
retarray->dim[0].stride = 1;
}
else
{
retarray->dim[0].lbound = 0;
retarray->dim[0].ubound = a->dim[0].ubound - a->dim[0].lbound;
retarray->dim[0].stride = 1;
retarray->dim[1].lbound = 0;
retarray->dim[1].ubound = b->dim[1].ubound - b->dim[1].lbound;
retarray->dim[1].stride = retarray->dim[0].ubound+1;
}
retarray->data
= internal_malloc_size (sizeof (GFC_REAL_16) * size0 ((array_t *) retarray));
retarray->offset = 0;
}
if (GFC_DESCRIPTOR_RANK (retarray) == 1)
{
/* One-dimensional result may be addressed in the code below
either as a row or a column matrix. We want both cases to
work. */
rxstride = rystride = retarray->dim[0].stride;
}
else
{
rxstride = retarray->dim[0].stride;
rystride = retarray->dim[1].stride;
}
if (GFC_DESCRIPTOR_RANK (a) == 1)
{
/* Treat it as a a row matrix A[1,count]. */
axstride = a->dim[0].stride;
aystride = 1;
xcount = 1;
count = a->dim[0].ubound + 1 - a->dim[0].lbound;
}
else
{
axstride = a->dim[0].stride;
aystride = a->dim[1].stride;
count = a->dim[1].ubound + 1 - a->dim[1].lbound;
xcount = a->dim[0].ubound + 1 - a->dim[0].lbound;
}
assert(count == b->dim[0].ubound + 1 - b->dim[0].lbound);
if (GFC_DESCRIPTOR_RANK (b) == 1)
{
/* Treat it as a column matrix B[count,1] */
bxstride = b->dim[0].stride;
/* bystride should never be used for 1-dimensional b.
in case it is we want it to cause a segfault, rather than
an incorrect result. */
bystride = 0xDEADBEEF;
ycount = 1;
}
else
{
bxstride = b->dim[0].stride;
bystride = b->dim[1].stride;
ycount = b->dim[1].ubound + 1 - b->dim[1].lbound;
}
abase = a->data;
bbase = b->data;
dest = retarray->data;
/* Now that everything is set up, we're performing the multiplication
itself. */
#define POW3(x) (((float) (x)) * ((float) (x)) * ((float) (x)))
if (try_blas && rxstride == 1 && (axstride == 1 || aystride == 1)
&& (bxstride == 1 || bystride == 1)
&& (((float) xcount) * ((float) ycount) * ((float) count)
> POW3(blas_limit)))
{
const int m = xcount, n = ycount, k = count, ldc = rystride;
const GFC_REAL_16 one = 1, zero = 0;
const int lda = (axstride == 1) ? aystride : axstride,
ldb = (bxstride == 1) ? bystride : bxstride;
if (lda > 0 && ldb > 0 && ldc > 0 && m > 1 && n > 1 && k > 1)
{
assert (gemm != NULL);
gemm (axstride == 1 ? "N" : "T", bxstride == 1 ? "N" : "T", &m, &n, &k,
&one, abase, &lda, bbase, &ldb, &zero, dest, &ldc, 1, 1);
return;
}
}
if (rxstride == 1 && axstride == 1 && bxstride == 1)
{
const GFC_REAL_16 * restrict bbase_y;
GFC_REAL_16 * restrict dest_y;
const GFC_REAL_16 * restrict abase_n;
GFC_REAL_16 bbase_yn;
if (rystride == xcount)
memset (dest, 0, (sizeof (GFC_REAL_16) * xcount * ycount));
else
{
for (y = 0; y < ycount; y++)
for (x = 0; x < xcount; x++)
dest[x + y*rystride] = (GFC_REAL_16)0;
}
for (y = 0; y < ycount; y++)
{
bbase_y = bbase + y*bystride;
dest_y = dest + y*rystride;
for (n = 0; n < count; n++)
{
abase_n = abase + n*aystride;
bbase_yn = bbase_y[n];
for (x = 0; x < xcount; x++)
{
dest_y[x] += abase_n[x] * bbase_yn;
}
}
}
}
else if (rxstride == 1 && aystride == 1 && bxstride == 1)
{
if (GFC_DESCRIPTOR_RANK (a) != 1)
{
const GFC_REAL_16 *restrict abase_x;
const GFC_REAL_16 *restrict bbase_y;
GFC_REAL_16 *restrict dest_y;
GFC_REAL_16 s;
for (y = 0; y < ycount; y++)
{
bbase_y = &bbase[y*bystride];
dest_y = &dest[y*rystride];
for (x = 0; x < xcount; x++)
{
abase_x = &abase[x*axstride];
s = (GFC_REAL_16) 0;
for (n = 0; n < count; n++)
s += abase_x[n] * bbase_y[n];
dest_y[x] = s;
}
}
}
else
{
const GFC_REAL_16 *restrict bbase_y;
GFC_REAL_16 s;
for (y = 0; y < ycount; y++)
{
bbase_y = &bbase[y*bystride];
s = (GFC_REAL_16) 0;
for (n = 0; n < count; n++)
s += abase[n*axstride] * bbase_y[n];
dest[y*rystride] = s;
}
}
}
else if (axstride < aystride)
{
for (y = 0; y < ycount; y++)
for (x = 0; x < xcount; x++)
dest[x*rxstride + y*rystride] = (GFC_REAL_16)0;
for (y = 0; y < ycount; y++)
for (n = 0; n < count; n++)
for (x = 0; x < xcount; x++)
/* dest[x,y] += a[x,n] * b[n,y] */
dest[x*rxstride + y*rystride] += abase[x*axstride + n*aystride] * bbase[n*bxstride + y*bystride];
}
else if (GFC_DESCRIPTOR_RANK (a) == 1)
{
const GFC_REAL_16 *restrict bbase_y;
GFC_REAL_16 s;
for (y = 0; y < ycount; y++)
{
bbase_y = &bbase[y*bystride];
s = (GFC_REAL_16) 0;
for (n = 0; n < count; n++)
s += abase[n*axstride] * bbase_y[n*bxstride];
dest[y*rxstride] = s;
}
}
else
{
const GFC_REAL_16 *restrict abase_x;
const GFC_REAL_16 *restrict bbase_y;
GFC_REAL_16 *restrict dest_y;
GFC_REAL_16 s;
for (y = 0; y < ycount; y++)
{
bbase_y = &bbase[y*bystride];
dest_y = &dest[y*rystride];
for (x = 0; x < xcount; x++)
{
abase_x = &abase[x*axstride];
s = (GFC_REAL_16) 0;
for (n = 0; n < count; n++)
s += abase_x[n*aystride] * bbase_y[n*bxstride];
dest_y[x*rxstride] = s;
}
}
}
}
#endif