mirror of
https://github.com/opencv/opencv.git
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2ee9d21dae
Added clapack * bring a small subset of Lapack, automatically converted to C, into OpenCV * added missing lsame_ prototype * * small fix in make_clapack script * trying to fix remaining CI problems * fixed character arrays' initializers * get rid of F2C_STR_MAX * * added back single-precision versions for QR, LU and Cholesky decompositions. It adds very little extra overhead. * added stub version of sdesdd. * uncommented calls to all the single-precision Lapack functions from opencv/core/src/hal_internal.cpp. * fixed warning from Visual Studio + cleaned f2c runtime a bit * * regenerated Lapack w/o forward declarations of intrinsic functions (such as sqrt(), r_cnjg() etc.) * at once, trailing whitespaces are removed from the generated sources, just in case * since there is no declarations of intrinsic functions anymore, we could turn some of them into inline functions * trying to eliminate the crash on ARM * fixed API and semantics of s_copy * * CLapack has been tested successfully. It's now time to restore the standard LAPACK detection procedure * removed some more trailing whitespaces * * retained only the essential stuff in CLapack * added checks to lapack calls to gracefully return "not implemented" instead of returning invalid results with "ok" status * disabled warning when building lapack * cmake: update LAPACK detection Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
445 lines
11 KiB
C
445 lines
11 KiB
C
/* -- translated by f2c (version 20201020 (for_lapack)). -- */
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#include "f2c.h"
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//> \brief \b DGEMM
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//
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// =========== DOCUMENTATION ===========
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//
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// Online html documentation available at
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// http://www.netlib.org/lapack/explore-html/
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//
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// Definition:
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// ===========
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//
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// SUBROUTINE DGEMM(TRANSA,TRANSB,M,N,K,ALPHA,A,LDA,B,LDB,BETA,C,LDC)
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//
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// .. Scalar Arguments ..
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// DOUBLE PRECISION ALPHA,BETA
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// INTEGER K,LDA,LDB,LDC,M,N
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// CHARACTER TRANSA,TRANSB
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// ..
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// .. Array Arguments ..
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// DOUBLE PRECISION A(LDA,*),B(LDB,*),C(LDC,*)
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// ..
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//
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//
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//> \par Purpose:
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// =============
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//>
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//> \verbatim
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//>
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//> DGEMM performs one of the matrix-matrix operations
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//>
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//> C := alpha*op( A )*op( B ) + beta*C,
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//>
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//> where op( X ) is one of
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//>
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//> op( X ) = X or op( X ) = X**T,
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//>
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//> alpha and beta are scalars, and A, B and C are matrices, with op( A )
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//> an m by k matrix, op( B ) a k by n matrix and C an m by n matrix.
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//> \endverbatim
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//
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// Arguments:
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// ==========
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//
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//> \param[in] TRANSA
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//> \verbatim
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//> TRANSA is CHARACTER*1
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//> On entry, TRANSA specifies the form of op( A ) to be used in
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//> the matrix multiplication as follows:
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//>
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//> TRANSA = 'N' or 'n', op( A ) = A.
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//>
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//> TRANSA = 'T' or 't', op( A ) = A**T.
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//>
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//> TRANSA = 'C' or 'c', op( A ) = A**T.
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//> \endverbatim
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//>
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//> \param[in] TRANSB
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//> \verbatim
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//> TRANSB is CHARACTER*1
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//> On entry, TRANSB specifies the form of op( B ) to be used in
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//> the matrix multiplication as follows:
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//>
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//> TRANSB = 'N' or 'n', op( B ) = B.
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//>
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//> TRANSB = 'T' or 't', op( B ) = B**T.
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//>
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//> TRANSB = 'C' or 'c', op( B ) = B**T.
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//> \endverbatim
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//>
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//> \param[in] M
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//> \verbatim
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//> M is INTEGER
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//> On entry, M specifies the number of rows of the matrix
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//> op( A ) and of the matrix C. M must be at least zero.
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//> \endverbatim
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//>
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//> \param[in] N
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//> \verbatim
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//> N is INTEGER
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//> On entry, N specifies the number of columns of the matrix
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//> op( B ) and the number of columns of the matrix C. N must be
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//> at least zero.
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//> \endverbatim
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//>
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//> \param[in] K
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//> \verbatim
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//> K is INTEGER
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//> On entry, K specifies the number of columns of the matrix
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//> op( A ) and the number of rows of the matrix op( B ). K must
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//> be at least zero.
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//> \endverbatim
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//>
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//> \param[in] ALPHA
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//> \verbatim
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//> ALPHA is DOUBLE PRECISION.
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//> On entry, ALPHA specifies the scalar alpha.
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//> \endverbatim
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//>
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//> \param[in] A
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//> \verbatim
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//> A is DOUBLE PRECISION array, dimension ( LDA, ka ), where ka is
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//> k when TRANSA = 'N' or 'n', and is m otherwise.
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//> Before entry with TRANSA = 'N' or 'n', the leading m by k
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//> part of the array A must contain the matrix A, otherwise
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//> the leading k by m part of the array A must contain the
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//> matrix A.
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//> \endverbatim
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//>
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//> \param[in] LDA
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//> \verbatim
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//> LDA is INTEGER
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//> On entry, LDA specifies the first dimension of A as declared
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//> in the calling (sub) program. When TRANSA = 'N' or 'n' then
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//> LDA must be at least max( 1, m ), otherwise LDA must be at
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//> least max( 1, k ).
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//> \endverbatim
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//>
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//> \param[in] B
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//> \verbatim
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//> B is DOUBLE PRECISION array, dimension ( LDB, kb ), where kb is
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//> n when TRANSB = 'N' or 'n', and is k otherwise.
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//> Before entry with TRANSB = 'N' or 'n', the leading k by n
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//> part of the array B must contain the matrix B, otherwise
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//> the leading n by k part of the array B must contain the
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//> matrix B.
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//> \endverbatim
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//>
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//> \param[in] LDB
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//> \verbatim
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//> LDB is INTEGER
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//> On entry, LDB specifies the first dimension of B as declared
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//> in the calling (sub) program. When TRANSB = 'N' or 'n' then
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//> LDB must be at least max( 1, k ), otherwise LDB must be at
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//> least max( 1, n ).
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//> \endverbatim
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//>
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//> \param[in] BETA
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//> \verbatim
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//> BETA is DOUBLE PRECISION.
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//> On entry, BETA specifies the scalar beta. When BETA is
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//> supplied as zero then C need not be set on input.
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//> \endverbatim
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//>
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//> \param[in,out] C
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//> \verbatim
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//> C is DOUBLE PRECISION array, dimension ( LDC, N )
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//> Before entry, the leading m by n part of the array C must
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//> contain the matrix C, except when beta is zero, in which
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//> case C need not be set on entry.
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//> On exit, the array C is overwritten by the m by n matrix
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//> ( alpha*op( A )*op( B ) + beta*C ).
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//> \endverbatim
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//>
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//> \param[in] LDC
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//> \verbatim
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//> LDC is INTEGER
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//> On entry, LDC specifies the first dimension of C as declared
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//> in the calling (sub) program. LDC must be at least
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//> max( 1, m ).
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//> \endverbatim
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//
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// Authors:
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// ========
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//
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//> \author Univ. of Tennessee
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//> \author Univ. of California Berkeley
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//> \author Univ. of Colorado Denver
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//> \author NAG Ltd.
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//
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//> \date December 2016
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//
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//> \ingroup double_blas_level3
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//
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//> \par Further Details:
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// =====================
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//>
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//> \verbatim
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//>
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//> Level 3 Blas routine.
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//>
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//> -- Written on 8-February-1989.
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//> Jack Dongarra, Argonne National Laboratory.
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//> Iain Duff, AERE Harwell.
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//> Jeremy Du Croz, Numerical Algorithms Group Ltd.
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//> Sven Hammarling, Numerical Algorithms Group Ltd.
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//> \endverbatim
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//>
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// =====================================================================
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/* Subroutine */ int dgemm_(char *transa, char *transb, int *m, int *n, int *
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k, double *alpha, double *a, int *lda, double *b, int *ldb, double *
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beta, double *c__, int *ldc)
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{
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// System generated locals
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int a_dim1, a_offset, b_dim1, b_offset, c_dim1, c_offset, i__1, i__2,
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i__3;
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// Local variables
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int i__, j, l, info;
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int nota, notb;
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double temp;
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int ncola;
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extern int lsame_(char *, char *);
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int nrowa, nrowb;
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extern /* Subroutine */ int xerbla_(char *, int *);
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//
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// -- Reference BLAS level3 routine (version 3.7.0) --
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// -- Reference BLAS is a software package provided by Univ. of Tennessee, --
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// -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
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// December 2016
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//
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// .. Scalar Arguments ..
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// ..
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// .. Array Arguments ..
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// ..
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//
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// =====================================================================
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//
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// .. External Functions ..
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// ..
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// .. External Subroutines ..
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// ..
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// .. Intrinsic Functions ..
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// ..
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// .. Local Scalars ..
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// ..
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// .. Parameters ..
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// ..
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//
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// Set NOTA and NOTB as true if A and B respectively are not
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// transposed and set NROWA, NCOLA and NROWB as the number of rows
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// and columns of A and the number of rows of B respectively.
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//
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// Parameter adjustments
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a_dim1 = *lda;
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a_offset = 1 + a_dim1;
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a -= a_offset;
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b_dim1 = *ldb;
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b_offset = 1 + b_dim1;
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b -= b_offset;
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c_dim1 = *ldc;
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c_offset = 1 + c_dim1;
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c__ -= c_offset;
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// Function Body
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nota = lsame_(transa, "N");
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notb = lsame_(transb, "N");
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if (nota) {
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nrowa = *m;
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ncola = *k;
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} else {
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nrowa = *k;
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ncola = *m;
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}
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if (notb) {
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nrowb = *k;
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} else {
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nrowb = *n;
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}
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//
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// Test the input parameters.
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//
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info = 0;
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if (! nota && ! lsame_(transa, "C") && ! lsame_(transa, "T")) {
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info = 1;
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} else if (! notb && ! lsame_(transb, "C") && ! lsame_(transb, "T")) {
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info = 2;
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} else if (*m < 0) {
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info = 3;
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} else if (*n < 0) {
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info = 4;
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} else if (*k < 0) {
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info = 5;
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} else if (*lda < max(1,nrowa)) {
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info = 8;
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} else if (*ldb < max(1,nrowb)) {
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info = 10;
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} else if (*ldc < max(1,*m)) {
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info = 13;
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}
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if (info != 0) {
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xerbla_("DGEMM ", &info);
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return 0;
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}
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//
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// Quick return if possible.
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//
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if (*m == 0 || *n == 0 || (*alpha == 0. || *k == 0) && *beta == 1.) {
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return 0;
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}
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//
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// And if alpha.eq.zero.
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//
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if (*alpha == 0.) {
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if (*beta == 0.) {
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i__1 = *n;
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for (j = 1; j <= i__1; ++j) {
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i__2 = *m;
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for (i__ = 1; i__ <= i__2; ++i__) {
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c__[i__ + j * c_dim1] = 0.;
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// L10:
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}
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// L20:
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}
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} else {
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i__1 = *n;
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for (j = 1; j <= i__1; ++j) {
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i__2 = *m;
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for (i__ = 1; i__ <= i__2; ++i__) {
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c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
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// L30:
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}
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// L40:
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}
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}
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return 0;
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}
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//
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// Start the operations.
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//
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if (notb) {
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if (nota) {
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//
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// Form C := alpha*A*B + beta*C.
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//
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i__1 = *n;
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for (j = 1; j <= i__1; ++j) {
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if (*beta == 0.) {
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i__2 = *m;
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for (i__ = 1; i__ <= i__2; ++i__) {
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c__[i__ + j * c_dim1] = 0.;
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// L50:
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}
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} else if (*beta != 1.) {
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i__2 = *m;
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for (i__ = 1; i__ <= i__2; ++i__) {
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c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
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// L60:
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}
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}
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i__2 = *k;
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for (l = 1; l <= i__2; ++l) {
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temp = *alpha * b[l + j * b_dim1];
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i__3 = *m;
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for (i__ = 1; i__ <= i__3; ++i__) {
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c__[i__ + j * c_dim1] += temp * a[i__ + l * a_dim1];
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// L70:
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}
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// L80:
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}
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// L90:
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}
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} else {
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//
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// Form C := alpha*A**T*B + beta*C
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//
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i__1 = *n;
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for (j = 1; j <= i__1; ++j) {
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i__2 = *m;
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for (i__ = 1; i__ <= i__2; ++i__) {
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temp = 0.;
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i__3 = *k;
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for (l = 1; l <= i__3; ++l) {
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temp += a[l + i__ * a_dim1] * b[l + j * b_dim1];
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// L100:
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}
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if (*beta == 0.) {
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c__[i__ + j * c_dim1] = *alpha * temp;
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} else {
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c__[i__ + j * c_dim1] = *alpha * temp + *beta * c__[
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i__ + j * c_dim1];
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}
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// L110:
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}
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// L120:
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}
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}
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} else {
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if (nota) {
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//
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// Form C := alpha*A*B**T + beta*C
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//
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i__1 = *n;
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for (j = 1; j <= i__1; ++j) {
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if (*beta == 0.) {
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i__2 = *m;
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for (i__ = 1; i__ <= i__2; ++i__) {
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c__[i__ + j * c_dim1] = 0.;
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// L130:
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}
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} else if (*beta != 1.) {
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i__2 = *m;
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for (i__ = 1; i__ <= i__2; ++i__) {
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c__[i__ + j * c_dim1] = *beta * c__[i__ + j * c_dim1];
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// L140:
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}
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}
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i__2 = *k;
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for (l = 1; l <= i__2; ++l) {
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temp = *alpha * b[j + l * b_dim1];
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i__3 = *m;
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for (i__ = 1; i__ <= i__3; ++i__) {
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c__[i__ + j * c_dim1] += temp * a[i__ + l * a_dim1];
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// L150:
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}
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// L160:
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}
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// L170:
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}
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} else {
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//
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// Form C := alpha*A**T*B**T + beta*C
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//
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i__1 = *n;
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for (j = 1; j <= i__1; ++j) {
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i__2 = *m;
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for (i__ = 1; i__ <= i__2; ++i__) {
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temp = 0.;
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i__3 = *k;
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for (l = 1; l <= i__3; ++l) {
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temp += a[l + i__ * a_dim1] * b[j + l * b_dim1];
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// L180:
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}
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if (*beta == 0.) {
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c__[i__ + j * c_dim1] = *alpha * temp;
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} else {
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c__[i__ + j * c_dim1] = *alpha * temp + *beta * c__[
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i__ + j * c_dim1];
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}
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// L190:
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}
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// L200:
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}
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}
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}
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return 0;
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//
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// End of DGEMM .
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//
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} // dgemm_
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