| /external/eigen/Eigen/src/Core/products/ |
| GeneralMatrixMatrix_MKL.h | 29 * General matrix-matrix product functionality based on ?GEMM.
42 * gemm function via partial specialization of
47 // gemm specialization
106 MKLPREFIX##gemm(&transa, &transb, &m, &n, &k, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)b, &ldb, &beta_, (MKLTYPE*)res, &ldc); \
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| TriangularMatrixMatrix_MKL.h | 109 /* Non-square case - doesn't fit to MKL ?TRMM. Fall to default triangular product or call MKL ?GEMM*/ \
115 /* Most likely no benefit to call TRMM or GEMM from MKL*/ \
121 /* Make sense to call GEMM */ \
129 /*std::cout << "TRMM_L: A is not square! Go to MKL GEMM implementation! " << nthr<<" \n";*/ \
223 /* Non-square case - doesn't fit to MKL ?TRMM. Fall to default triangular product or call MKL ?GEMM*/ \
229 /* Most likely no benefit to call TRMM or GEMM from MKL*/ \
235 /* Make sense to call GEMM */ \
243 /*std::cout << "TRMM_R: A is not square! Go to MKL GEMM implementation! " << nthr<<" \n";*/ \
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| GeneralMatrixMatrix.h | 194 * Specialization of GeneralProduct<> for "large" GEMM, i.e.,
203 template<typename Scalar, typename Index, typename Gemm, typename Lhs, typename Rhs, typename Dest, typename BlockingType>
221 Gemm::run(rows, cols, m_lhs.cols(),
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| /external/eigen/doc/ |
| HiPerformance.dox | 23 \section GEMM General Matrix-Matrix product (GEMM)
26 In the BLAS world this corresponds to the GEMM routine. Our equivalent primitive can
40 which exactly matches our GEMM routine.
44 handled by a single GEMM-like call are correctly detected.
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| UsingIntelMKL.dox | 78 ?gemm
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| TutorialMatrixArithmetic.dox | 147 \b Note: for BLAS users worried about performance, expressions such as <tt>c.noalias() -= 2 * a.adjoint() * b;</tt> are fully optimized and trigger a single gemm-like function call.
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| /external/eigen/bench/btl/libs/BLAS/ |
| blas_interface_impl.hh | 42 BLAS_FUNC(gemm)(¬rans,¬rans,&N,&N,&N,&fone,A,&N,B,&N,&fzero,X,&N);
46 BLAS_FUNC(gemm)(¬rans,¬rans,&N,&N,&N,&fone,A,&N,B,&N,&fzero,X,&N);
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| /external/eigen/bench/ |
| bench_gemm.cpp | 114 EIGEN_DONT_INLINE void gemm(const A& a, const B& b, C& c) function
193 gemm(a,b,c);
208 BENCH(tmt, tries, rep, gemm(a,b,c));
219 BENCH(tmono, tries, rep, gemm(a,b,c));
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| benchBlasGemm.cpp | 89 std::cout << " nbloops number of times the GEMM routines is executed\n";
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| /external/ceres-solver/internal/ceres/ |
| dense_normal_cholesky_solver.cc | 82 // Using rankUpdate instead of GEMM, exposes the fact that its the
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| small_blas.h | 46 // template junk across the various GEMM variants.
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| /external/eigen/blas/ |
| level3_impl.h | 12 int EIGEN_BLAS_FUNC(gemm)(char *opa, char *opb, int *m, int *n, int *k, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *pb, int *ldb, RealScalar *pbeta, RealScalar *pc, int *ldc) function
14 // std::cerr << "in gemm " << *opa << " " << *opb << " " << *m << " " << *n << " " << *k << " " << *lda << " " << *ldb << " " << *ldc << " " << *palpha << " " << *pbeta << "\n";
51 return xerbla_(SCALAR_SUFFIX_UP"GEMM ",&info,6);
[all...] |
| /external/opencv/cxcore/src/ |
| cxmatmul.cpp | [all...] |
