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opencv/modules/core/src/hal_internal.cpp
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Vincent Rabaud b5b52afd35 Merge pull request #21527 from vrabaud:3.4_msan 
* Fix wrong MSAN errors.

Because Fortran is called in Lapack, MSAN does not think the memory
has been written even though it is the case.
MSAN does no support well cross-language memory analysis.

* Make a dedicated check.
2022-01-28 15:35:47 +00:00

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Copyright (C) 2015, Itseez Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's 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.
//
// * The name of the copyright holders may not 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 Intel Corporation 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.
//
//M*/
#include "precomp.hpp"
#include "hal_internal.hpp"
#ifdef HAVE_LAPACK
#include <complex.h>
#include "opencv_lapack.h"
#include <cmath>
#include <algorithm>
#include <typeinfo>
#include <limits>
#include <complex>
#include <vector>
#define HAL_GEMM_SMALL_COMPLEX_MATRIX_THRESH 100
#define HAL_GEMM_SMALL_MATRIX_THRESH 100
#define HAL_SVD_SMALL_MATRIX_THRESH 25
#define HAL_QR_SMALL_MATRIX_THRESH 30
#define HAL_LU_SMALL_MATRIX_THRESH 100
#define HAL_CHOLESKY_SMALL_MATRIX_THRESH 100
//lapack stores matrices in column-major order so transposing is needed everywhere
template <typename fptype> static inline void
transpose_square_inplace(fptype *src, size_t src_ld, size_t m)
{
for(size_t i = 0; i < m - 1; i++)
for(size_t j = i + 1; j < m; j++)
std::swap(src[j*src_ld + i], src[i*src_ld + j]);
}
template <typename fptype> static inline void
transpose(const fptype *src, size_t src_ld, fptype* dst, size_t dst_ld, size_t m, size_t n)
{
for(size_t i = 0; i < m; i++)
for(size_t j = 0; j < n; j++)
dst[j*dst_ld + i] = src[i*src_ld + j];
}
template <typename fptype> static inline void
copy_matrix(const fptype *src, size_t src_ld, fptype* dst, size_t dst_ld, size_t m, size_t n)
{
for(size_t i = 0; i < m; i++)
for(size_t j = 0; j < n; j++)
dst[i*dst_ld + j] = src[i*src_ld + j];
}
template <typename fptype> static inline void
set_value(fptype *dst, size_t dst_ld, fptype value, size_t m, size_t n)
{
for(size_t i = 0; i < m; i++)
for(size_t j = 0; j < n; j++)
dst[i*dst_ld + j] = value;
}
template <typename fptype> static inline int
lapack_LU(fptype* a, size_t a_step, int m, fptype* b, size_t b_step, int n, int* info)
{
int lda = (int)(a_step / sizeof(fptype)), sign = 0;
int* piv = new int[m];
transpose_square_inplace(a, lda, m);
if(b)
{
if(n == 1 && b_step == sizeof(fptype))
{
if(typeid(fptype) == typeid(float))
sgesv_(&m, &n, (float*)a, &lda, piv, (float*)b, &m, info);
else if(typeid(fptype) == typeid(double))
dgesv_(&m, &n, (double*)a, &lda, piv, (double*)b, &m, info);
}
else
{
int ldb = (int)(b_step / sizeof(fptype));
fptype* tmpB = new fptype[m*n];
transpose(b, ldb, tmpB, m, m, n);
if(typeid(fptype) == typeid(float))
sgesv_(&m, &n, (float*)a, &lda, piv, (float*)tmpB, &m, info);
else if(typeid(fptype) == typeid(double))
dgesv_(&m, &n, (double*)a, &lda, piv, (double*)tmpB, &m, info);
transpose(tmpB, m, b, ldb, n, m);
delete[] tmpB;
}
}
else
{
if(typeid(fptype) == typeid(float))
sgetrf_(&m, &m, (float*)a, &lda, piv, info);
else if(typeid(fptype) == typeid(double))
dgetrf_(&m, &m, (double*)a, &lda, piv, info);
}
if(*info == 0)
{
for(int i = 0; i < m; i++)
sign ^= piv[i] != i + 1;
*info = sign ? -1 : 1;
}
else
*info = 0; //in opencv LU function zero means error
delete[] piv;
return CV_HAL_ERROR_OK;
}
template <typename fptype> static inline int
lapack_Cholesky(fptype* a, size_t a_step, int m, fptype* b, size_t b_step, int n, bool* info)
{
int lapackStatus = 0;
int lda = (int)(a_step / sizeof(fptype));
char L[] = {'L', '\0'};
if(b)
{
if(n == 1 && b_step == sizeof(fptype))
{
if(typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(sposv)(L, &m, &n, (float*)a, &lda, (float*)b, &m, &lapackStatus);
else if(typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dposv)(L, &m, &n, (double*)a, &lda, (double*)b, &m, &lapackStatus);
}
else
{
int ldb = (int)(b_step / sizeof(fptype));
fptype* tmpB = new fptype[m*n];
transpose(b, ldb, tmpB, m, m, n);
if(typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(sposv)(L, &m, &n, (float*)a, &lda, (float*)tmpB, &m, &lapackStatus);
else if(typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dposv)(L, &m, &n, (double*)a, &lda, (double*)tmpB, &m, &lapackStatus);
transpose(tmpB, m, b, ldb, n, m);
delete[] tmpB;
}
}
else
{
if(typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(spotrf)(L, &m, (float*)a, &lda, &lapackStatus);
else if(typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dpotrf)(L, &m, (double*)a, &lda, &lapackStatus);
}
if(lapackStatus == 0) *info = true;
else *info = false; //in opencv Cholesky function false means error
return CV_HAL_ERROR_OK;
}
template <typename fptype> static inline int
lapack_SVD(fptype* a, size_t a_step, fptype *w, fptype* u, size_t u_step, fptype* vt, size_t v_step, int m, int n, int flags, int* info)
{
int lda = (int)(a_step / sizeof(fptype));
int ldv = (int)(v_step / sizeof(fptype));
int ldu = (int)(u_step / sizeof(fptype));
int lwork = -1;
int* iworkBuf = new int[8*std::min(m, n)];
fptype work1 = 0;
//A already transposed and m>=n
char mode[] = { ' ', '\0'};
if(flags & CV_HAL_SVD_NO_UV)
{
ldv = 1;
mode[0] = 'N';
}
else if((flags & CV_HAL_SVD_SHORT_UV) && (flags & CV_HAL_SVD_MODIFY_A)) //short SVD, U stored in a
mode[0] = 'O';
else if((flags & CV_HAL_SVD_SHORT_UV) && !(flags & CV_HAL_SVD_MODIFY_A)) //short SVD, U stored in u if m>=n
mode[0] = 'S';
else if(flags & CV_HAL_SVD_FULL_UV) //full SVD, U stored in u or in a
mode[0] = 'A';
if((flags & CV_HAL_SVD_MODIFY_A) && (flags & CV_HAL_SVD_FULL_UV)) //U stored in a
{
u = new fptype[m*m];
ldu = m;
}
if(typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(sgesdd)(mode, &m, &n, (float*)a, &lda, (float*)w, (float*)u, &ldu, (float*)vt, &ldv, (float*)&work1, &lwork, iworkBuf, info);
else if(typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dgesdd)(mode, &m, &n, (double*)a, &lda, (double*)w, (double*)u, &ldu, (double*)vt, &ldv, (double*)&work1, &lwork, iworkBuf, info);
lwork = (int)round(work1); //optimal buffer size
fptype* buffer = new fptype[lwork + 1];
if(typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(sgesdd)(mode, &m, &n, (float*)a, &lda, (float*)w, (float*)u, &ldu, (float*)vt, &ldv, (float*)buffer, &lwork, iworkBuf, info);
else if(typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dgesdd)(mode, &m, &n, (double*)a, &lda, (double*)w, (double*)u, &ldu, (double*)vt, &ldv, (double*)buffer, &lwork, iworkBuf, info);
#if defined(__clang__) && defined(__has_feature)
#if __has_feature(memory_sanitizer)
// Make sure MSAN sees the memory as having been written.
// MSAN does not think it has been written because a different language was called.
__msan_unpoison(a, a_step * n);
__msan_unpoison(buffer, sizeof(fptype) * (lwork + 1));
if (u)
__msan_unpoison(u, u_step * m);
if (vt)
__msan_unpoison(vt, v_step * n);
if (w)
__msan_unpoison(w, sizeof(fptype) * std::min(m, n));
#endif // __has_feature(memory_sanitizer)
#endif // defined(__clang__) && defined(__has_feature)
if(!(flags & CV_HAL_SVD_NO_UV))
transpose_square_inplace(vt, ldv, n);
if((flags & CV_HAL_SVD_MODIFY_A) && (flags & CV_HAL_SVD_FULL_UV))
{
for(int i = 0; i < m; i++)
for(int j = 0; j < m; j++)
a[i*lda + j] = u[i*m + j];
delete[] u;
}
delete[] iworkBuf;
delete[] buffer;
return CV_HAL_ERROR_OK;
}
template <typename fptype> static inline int
lapack_QR(fptype* a, size_t a_step, int m, int n, int k, fptype* b, size_t b_step, fptype* dst, int* info)
{
int lda = (int)(a_step / sizeof(fptype));
char mode[] = { 'N', '\0' };
if(m < n)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
std::vector<fptype> tmpAMemHolder;
fptype* tmpA;
int ldtmpA;
if (m == n)
{
transpose_square_inplace(a, lda, m);
tmpA = a;
ldtmpA = lda;
}
else
{
tmpAMemHolder.resize(m*n);
tmpA = &tmpAMemHolder.front();
ldtmpA = m;
transpose(a, lda, tmpA, m, m, n);
}
int lwork = -1;
fptype work1 = 0.;
if (b)
{
if (k == 1 && b_step == sizeof(fptype))
{
if (typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(sgels)(mode, &m, &n, &k, (float*)tmpA, &ldtmpA, (float*)b, &m, (float*)&work1, &lwork, info);
else if (typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dgels)(mode, &m, &n, &k, (double*)tmpA, &ldtmpA, (double*)b, &m, (double*)&work1, &lwork, info);
lwork = cvRound(work1); //optimal buffer size
std::vector<fptype> workBufMemHolder(lwork + 1);
fptype* buffer = &workBufMemHolder.front();
if (typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(sgels)(mode, &m, &n, &k, (float*)tmpA, &ldtmpA, (float*)b, &m, (float*)buffer, &lwork, info);
else if (typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dgels)(mode, &m, &n, &k, (double*)tmpA, &ldtmpA, (double*)b, &m, (double*)buffer, &lwork, info);
}
else
{
std::vector<fptype> tmpBMemHolder(m*k);
fptype* tmpB = &tmpBMemHolder.front();
int ldb = (int)(b_step / sizeof(fptype));
transpose(b, ldb, tmpB, m, m, k);
if (typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(sgels)(mode, &m, &n, &k, (float*)tmpA, &ldtmpA, (float*)tmpB, &m, (float*)&work1, &lwork, info);
else if (typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dgels)(mode, &m, &n, &k, (double*)tmpA, &ldtmpA, (double*)tmpB, &m, (double*)&work1, &lwork, info);
lwork = cvRound(work1); //optimal buffer size
std::vector<fptype> workBufMemHolder(lwork + 1);
fptype* buffer = &workBufMemHolder.front();
if (typeid(fptype) == typeid(float))
OCV_LAPACK_FUNC(sgels)(mode, &m, &n, &k, (float*)tmpA, &ldtmpA, (float*)tmpB, &m, (float*)buffer, &lwork, info);
else if (typeid(fptype) == typeid(double))
OCV_LAPACK_FUNC(dgels)(mode, &m, &n, &k, (double*)tmpA, &ldtmpA, (double*)tmpB, &m, (double*)buffer, &lwork, info);
transpose(tmpB, m, b, ldb, k, m);
}
}
else
{
if (typeid(fptype) == typeid(float))
sgeqrf_(&m, &n, (float*)tmpA, &ldtmpA, (float*)dst, (float*)&work1, &lwork, info);
else if (typeid(fptype) == typeid(double))
dgeqrf_(&m, &n, (double*)tmpA, &ldtmpA, (double*)dst, (double*)&work1, &lwork, info);
lwork = cvRound(work1); //optimal buffer size
std::vector<fptype> workBufMemHolder(lwork + 1);
fptype* buffer = &workBufMemHolder.front();
if (typeid(fptype) == typeid(float))
sgeqrf_(&m, &n, (float*)tmpA, &ldtmpA, (float*)dst, (float*)buffer, &lwork, info);
else if (typeid(fptype) == typeid(double))
dgeqrf_(&m, &n, (double*)tmpA, &ldtmpA, (double*)dst, (double*)buffer, &lwork, info);
}
if (m == n)
transpose_square_inplace(a, lda, m);
else
transpose(tmpA, m, a, lda, n, m);
if (*info != 0)
*info = 0;
else
*info = 1;
return CV_HAL_ERROR_OK;
}
template <typename fptype> static inline int
lapack_gemm(const fptype *src1, size_t src1_step, const fptype *src2, size_t src2_step, fptype alpha,
const fptype *src3, size_t src3_step, fptype beta, fptype *dst, size_t dst_step, int a_m, int a_n, int d_n, int flags)
{
int ldsrc1 = (int)(src1_step / sizeof(fptype));
int ldsrc2 = (int)(src2_step / sizeof(fptype));
int ldsrc3 = (int)(src3_step / sizeof(fptype));
int lddst = (int)(dst_step / sizeof(fptype));
int c_m, c_n, d_m;
CBLAS_TRANSPOSE transA, transB;
if(flags & CV_HAL_GEMM_2_T)
{
transB = CblasTrans;
if(flags & CV_HAL_GEMM_1_T )
{
d_m = a_n;
}
else
{
d_m = a_m;
}
}
else
{
transB = CblasNoTrans;
if(flags & CV_HAL_GEMM_1_T )
{
d_m = a_n;
}
else
{
d_m = a_m;
}
}
if(flags & CV_HAL_GEMM_3_T)
{
c_m = d_n;
c_n = d_m;
}
else
{
c_m = d_m;
c_n = d_n;
}
if(flags & CV_HAL_GEMM_1_T )
{
transA = CblasTrans;
std::swap(a_n, a_m);
}
else
{
transA = CblasNoTrans;
}
if(src3 != dst && beta != 0.0 && src3_step != 0) {
if(flags & CV_HAL_GEMM_3_T)
transpose(src3, ldsrc3, dst, lddst, c_m, c_n);
else
copy_matrix(src3, ldsrc3, dst, lddst, c_m, c_n);
}
else if (src3 == dst && (flags & CV_HAL_GEMM_3_T)) //actually transposing C in this case done by openCV
return CV_HAL_ERROR_NOT_IMPLEMENTED;
else if(src3_step == 0 && beta != 0.0)
set_value(dst, lddst, (fptype)0.0, d_m, d_n);
if(typeid(fptype) == typeid(float))
cblas_sgemm(CblasRowMajor, transA, transB, a_m, d_n, a_n, (float)alpha, (float*)src1, ldsrc1, (float*)src2, ldsrc2, (float)beta, (float*)dst, lddst);
else if(typeid(fptype) == typeid(double))
cblas_dgemm(CblasRowMajor, transA, transB, a_m, d_n, a_n, (double)alpha, (double*)src1, ldsrc1, (double*)src2, ldsrc2, (double)beta, (double*)dst, lddst);
return CV_HAL_ERROR_OK;
}
template <typename fptype> static inline int
lapack_gemm_c(const fptype *src1, size_t src1_step, const fptype *src2, size_t src2_step, fptype alpha,
const fptype *src3, size_t src3_step, fptype beta, fptype *dst, size_t dst_step, int a_m, int a_n, int d_n, int flags)
{
int ldsrc1 = (int)(src1_step / sizeof(std::complex<fptype>));
int ldsrc2 = (int)(src2_step / sizeof(std::complex<fptype>));
int ldsrc3 = (int)(src3_step / sizeof(std::complex<fptype>));
int lddst = (int)(dst_step / sizeof(std::complex<fptype>));
int c_m, c_n, d_m;
CBLAS_TRANSPOSE transA, transB;
std::complex<fptype> cAlpha(alpha, 0.0);
std::complex<fptype> cBeta(beta, 0.0);
if(flags & CV_HAL_GEMM_2_T)
{
transB = CblasTrans;
if(flags & CV_HAL_GEMM_1_T )
{
d_m = a_n;
}
else
{
d_m = a_m;
}
}
else
{
transB = CblasNoTrans;
if(flags & CV_HAL_GEMM_1_T )
{
d_m = a_n;
}
else
{
d_m = a_m;
}
}
if(flags & CV_HAL_GEMM_3_T)
{
c_m = d_n;
c_n = d_m;
}
else
{
c_m = d_m;
c_n = d_n;
}
if(flags & CV_HAL_GEMM_1_T )
{
transA = CblasTrans;
std::swap(a_n, a_m);
}
else
{
transA = CblasNoTrans;
}
if(src3 != dst && beta != 0.0 && src3_step != 0) {
if(flags & CV_HAL_GEMM_3_T)
transpose((std::complex<fptype>*)src3, ldsrc3, (std::complex<fptype>*)dst, lddst, c_m, c_n);
else
copy_matrix((std::complex<fptype>*)src3, ldsrc3, (std::complex<fptype>*)dst, lddst, c_m, c_n);
}
else if (src3 == dst && (flags & CV_HAL_GEMM_3_T)) //actually transposing C in this case done by openCV
return CV_HAL_ERROR_NOT_IMPLEMENTED;
else if(src3_step == 0 && beta != 0.0)
set_value((std::complex<fptype>*)dst, lddst, std::complex<fptype>(0.0, 0.0), d_m, d_n);
if(typeid(fptype) == typeid(float))
cblas_cgemm(CblasRowMajor, transA, transB, a_m, d_n, a_n, (float*)reinterpret_cast<fptype(&)[2]>(cAlpha), (float*)src1, ldsrc1, (float*)src2, ldsrc2, (float*)reinterpret_cast<fptype(&)[2]>(cBeta), (float*)dst, lddst);
else if(typeid(fptype) == typeid(double))
cblas_zgemm(CblasRowMajor, transA, transB, a_m, d_n, a_n, (double*)reinterpret_cast<fptype(&)[2]>(cAlpha), (double*)src1, ldsrc1, (double*)src2, ldsrc2, (double*)reinterpret_cast<fptype(&)[2]>(cBeta), (double*)dst, lddst);
return CV_HAL_ERROR_OK;
}
int lapack_LU32f(float* a, size_t a_step, int m, float* b, size_t b_step, int n, int* info)
{
if(m < HAL_LU_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_LU(a, a_step, m, b, b_step, n, info);
}
int lapack_LU64f(double* a, size_t a_step, int m, double* b, size_t b_step, int n, int* info)
{
if(m < HAL_LU_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_LU(a, a_step, m, b, b_step, n, info);
}
int lapack_Cholesky32f(float* a, size_t a_step, int m, float* b, size_t b_step, int n, bool *info)
{
if(m < HAL_CHOLESKY_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_Cholesky(a, a_step, m, b, b_step, n, info);
}
int lapack_Cholesky64f(double* a, size_t a_step, int m, double* b, size_t b_step, int n, bool *info)
{
if(m < HAL_CHOLESKY_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_Cholesky(a, a_step, m, b, b_step, n, info);
}
int lapack_SVD32f(float* a, size_t a_step, float *w, float* u, size_t u_step, float* vt, size_t v_step, int m, int n, int flags)
{
if(m < HAL_SVD_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
int info;
return lapack_SVD(a, a_step, w, u, u_step, vt, v_step, m, n, flags, &info);
}
int lapack_SVD64f(double* a, size_t a_step, double *w, double* u, size_t u_step, double* vt, size_t v_step, int m, int n, int flags)
{
if(m < HAL_SVD_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
int info;
return lapack_SVD(a, a_step, w, u, u_step, vt, v_step, m, n, flags, &info);
}
int lapack_QR32f(float* src1, size_t src1_step, int m, int n, int k, float* src2, size_t src2_step, float* dst, int* info)
{
if (m < HAL_QR_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_QR(src1, src1_step, m, n, k, src2, src2_step, dst, info);
}
int lapack_QR64f(double* src1, size_t src1_step, int m, int n, int k, double* src2, size_t src2_step, double* dst, int* info)
{
if (m < HAL_QR_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_QR(src1, src1_step, m, n, k, src2, src2_step, dst, info);
}
int lapack_gemm32f(const float *src1, size_t src1_step, const float *src2, size_t src2_step, float alpha,
const float *src3, size_t src3_step, float beta, float *dst, size_t dst_step, int m, int n, int k, int flags)
{
if(m < HAL_GEMM_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_gemm(src1, src1_step, src2, src2_step, alpha, src3, src3_step, beta, dst, dst_step, m, n, k, flags);
}
int lapack_gemm64f(const double *src1, size_t src1_step, const double *src2, size_t src2_step, double alpha,
const double *src3, size_t src3_step, double beta, double *dst, size_t dst_step, int m, int n, int k, int flags)
{
if(m < HAL_GEMM_SMALL_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_gemm(src1, src1_step, src2, src2_step, alpha, src3, src3_step, beta, dst, dst_step, m, n, k, flags);
}
int lapack_gemm32fc(const float *src1, size_t src1_step, const float *src2, size_t src2_step, float alpha,
const float *src3, size_t src3_step, float beta, float *dst, size_t dst_step, int m, int n, int k, int flags)
{
if(m < HAL_GEMM_SMALL_COMPLEX_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_gemm_c(src1, src1_step, src2, src2_step, alpha, src3, src3_step, beta, dst, dst_step, m, n, k, flags);
}
int lapack_gemm64fc(const double *src1, size_t src1_step, const double *src2, size_t src2_step, double alpha,
const double *src3, size_t src3_step, double beta, double *dst, size_t dst_step, int m, int n, int k, int flags)
{
if(m < HAL_GEMM_SMALL_COMPLEX_MATRIX_THRESH)
return CV_HAL_ERROR_NOT_IMPLEMENTED;
return lapack_gemm_c(src1, src1_step, src2, src2_step, alpha, src3, src3_step, beta, dst, dst_step, m, n, k, flags);
}
#endif //HAVE_LAPACK
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