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  /external/ceres-solver/internal/ceres/
blas.cc 40 int* lda,
62 int lda = k;
70 &lda,
lapack.cc 38 int* lda,
45 int* lda,
55 int* lda,
135 int lda = num_rows;
145 &lda,
  /external/eigen/bench/btl/libs/BLAS/
blas_interface.hh 32 void ssytrd_(char *uplo, const int *n, float *a, const int *lda, float *d, float *e, float *tau, float *work, int *lwork, int *info );
33 void dsytrd_(char *uplo, const int *n, double *a, const int *lda, double *d, double *e, double *tau, double *work, int *lwork, int *info );
34 void sgehrd_( const int *n, int *ilo, int *ihi, float *a, const int *lda, float *tau, float *work, int *lwork, int *info );
35 void dgehrd_( const int *n, int *ilo, int *ihi, double *a, const int *lda, double *tau, double *work, int *lwork, int *info );
38 // void dgetrf_( int *m, int *n, double *a, int *lda, int *ipiv, int *info );
41 void sgetc2_(const int* n, float *a, const int *lda, int *ipiv, int *jpiv, int*info );
42 void dgetc2_(const int* n, double *a, const int *lda, int *ipiv, int *jpiv, int*info );
  /external/eigen/lapack/
eigenvalues.cpp 14 EIGEN_LAPACK_FUNC(syev,(char *jobz, char *uplo, int* n, Scalar* a, int *lda, Scalar* w, Scalar* /*work*/, int* lwork, int *info))
23 else if(*lda<std::max(1,*n)) *info = -5;
59 if(UPLO(*uplo)==UP) mat = matrix(a,*n,*n,*lda).adjoint();
60 else mat = matrix(a,*n,*n,*lda);
69 matrix(a,*n,*n,*lda).setIdentity();
76 matrix(a,*n,*n,*lda) = eig.eigenvectors();
cholesky.cpp 14 EIGEN_LAPACK_FUNC(potrf,(char* uplo, int *n, RealScalar *pa, int *lda, int *info))
19 else if(*lda<std::max(1,*n)) *info = -4;
27 MatrixType A(a,*n,*n,*lda);
41 EIGEN_LAPACK_FUNC(potrs,(char* uplo, int *n, int *nrhs, RealScalar *pa, int *lda, RealScalar *pb, int *ldb, int *info))
47 else if(*lda<std::max(1,*n)) *info = -5;
57 MatrixType A(a,*n,*n,*lda);
lu.cpp 14 EIGEN_LAPACK_FUNC(getrf,(int *m, int *n, RealScalar *pa, int *lda, int *ipiv, int *info))
19 else if(*lda<std::max(1,*m)) *info = -4;
32 ::blocked_lu(*m, *n, a, *lda, ipiv, nb_transpositions);
46 EIGEN_LAPACK_FUNC(getrs,(char *trans, int *n, int *nrhs, RealScalar *pa, int *lda, int *ipiv, RealScalar *pb, int *ldb, int *info))
52 else if(*lda<std::max(1,*n)) *info = -5;
62 MatrixType lu(a,*n,*n,*lda);
  /external/eigen/blas/
level2_cplx_impl.h 19 int EIGEN_BLAS_FUNC(hemv)(char *uplo, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *px, int *incx, RealScalar *pbeta, RealScalar *py, int *incy)
31 else if(*lda<std::max(1,*n)) info = 5;
52 if(UPLO(*uplo)==UP) vector(actual_y,*n).noalias() += matrix(a,*n,*n,*lda).selfadjointView<Upper>() * (alpha * vector(actual_x,*n));
53 else if(UPLO(*uplo)==LO) vector(actual_y,*n).noalias() += matrix(a,*n,*n,*lda).selfadjointView<Lower>() * (alpha * vector(actual_x,*n));
69 // int EIGEN_BLAS_FUNC(hbmv)(char *uplo, int *n, int *k, RealScalar *alpha, RealScalar *a, int *lda,
118 int EIGEN_BLAS_FUNC(her)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *pa, int *lda)
128 else if(*lda<std::max(1,*n)) info = 7;
138 // if(UPLO(*uplo)==LO) matrix(a,*n,*n,*lda).selfadjointView<Lower>().rankUpdate(vector(x_cpy,*n), alpha);
139 // else if(UPLO(*uplo)==UP) matrix(a,*n,*n,*lda).selfadjointView<Upper>().rankUpdate(vector(x_cpy,*n), alpha);
143 matrix(a,*n,*n,*lda).col(j).tail(*n-j) += alpha * internal::conj(x_cpy[j]) * vector(x_cpy+j,*n-j)
    [all...]
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)
14 // std::cerr << "in gemm " << *opa << " " << *opb << " " << *m << " " << *n << " " << *k << " " << *lda << " " << *ldb << " " << *ldc << " " << *palpha << " " << *pbeta << "\n";
47 else if(*lda<std::max(1,(OP(*opa)==NOTR)?*m:*k)) info = 8;
62 func[code](*m, *n, *k, a, *lda, b, *ldb, c, *ldc, alpha, blocking, 0);
66 int EIGEN_BLAS_FUNC(trsm)(char *side, char *uplo, char *opa, char *diag, int *m, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *pb, int *ldb)
68 // std::cerr << "in trsm " << *side << " " << *uplo << " " << *opa << " " << *diag << " " << *m << "," << *n << " " << *palpha << " " << *lda << " " << *ldb<< "\n";
125 else if(*lda<std::max(1,(SIDE(*side)==LEFT)?*m:*n)) info = 9;
135 func[code](*m, *n, a, *lda, b, *ldb, blocking);
140 func[code](*n, *m, a, *lda, b, *ldb, blocking);
152 int EIGEN_BLAS_FUNC(trmm)(char *side, char *uplo, char *opa, char *diag, int *m, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *pb, int *ldb
    [all...]
level2_impl.h 12 int EIGEN_BLAS_FUNC(gemv)(char *opa, int *m, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *pb, int *incb, RealScalar *pbeta, RealScalar *pc, int *incc)
41 else if(*lda<std::max(1,*m)) info = 6;
65 func[code](actual_m, actual_n, a, *lda, actual_b, 1, actual_c, 1, alpha);
73 int EIGEN_BLAS_FUNC(trsv)(char *uplo, char *opa, char *diag, int *n, RealScalar *pa, int *lda, RealScalar *pb, int *incb)
111 else if(*lda<std::max(1,*n)) info = 6;
119 func[code](*n, a, *lda, actual_b);
128 int EIGEN_BLAS_FUNC(trmv)(char *uplo, char *opa, char *diag, int *n, RealScalar *pa, int *lda, RealScalar *pb, int *incb)
166 else if(*lda<std::max(1,*n)) info = 6;
182 func[code](*n, *n, a, *lda, actual_b, 1, res.data(), 1, Scalar(1));
197 int EIGEN_BLAS_FUNC(gbmv)(char *trans, int *m, int *n, int *kl, int *ku, RealScalar *palpha, RealScalar *pa, int *lda,
    [all...]
  /external/eigen/Eigen/src/Core/products/
TriangularSolverMatrix_MKL.h 56 MKL_INT m = size, n = otherSize, lda, ldb; \
70 /* Set a, lda */ \
78 lda = a_tmp.outerStride(); \
81 lda = triStride; \
85 MKLPREFIX##trsm(&side, &uplo, &transa, &diag, &m, &n, &alpha, (const MKLTYPE*)a, &lda, (MKLTYPE*)_other, &ldb); \
111 MKL_INT m = otherSize, n = size, lda, ldb; \
125 /* Set a, lda */ \
133 lda = a_tmp.outerStride(); \
136 lda = triStride; \
140 MKLPREFIX##trsm(&side, &uplo, &transa, &diag, &m, &n, &alpha, (const MKLTYPE*)a, &lda, (MKLTYPE*)_other, &ldb);
    [all...]
SelfadjointMatrixMatrix_MKL.h 58 MKL_INT m, n, lda, ldb, ldc; \
73 /* Set lda, ldb, ldc */ \
74 lda = (MKL_INT)lhsStride; \
89 MKLPREFIX##symm(&side, &uplo, &m, &n, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)b, &ldb, &beta_, (MKLTYPE*)res, &ldc); \
109 MKL_INT m, n, lda, ldb, ldc; \
125 /* Set lda, ldb, ldc */ \
126 lda = (MKL_INT)lhsStride; \
135 lda = a_tmp.outerStride(); \
157 MKLPREFIX##hemm(&side, &uplo, &m, &n, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)b, &ldb, &beta_, (MKLTYPE*)res, &ldc); \
185 MKL_INT m, n, lda, ldb, ldc;
    [all...]
GeneralMatrixMatrix_MKL.h 67 MKL_INT m, n, k, lda, ldb, ldc; \
86 /* Set lda, ldb, ldc */ \
87 lda = (MKL_INT)lhsStride; \
96 lda = a_tmp.outerStride(); \
106 MKLPREFIX##gemm(&transa, &transb, &m, &n, &k, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)b, &ldb, &beta_, (MKLTYPE*)res, &ldc); \
GeneralMatrixMatrixTriangular_MKL.h 87 MKL_INT lda=lhsStride, ldc=resStride, n=size, k=depth; \
94 MKLFUNC(&uplo, &trans, &n, &k, &alpha_, lhs, &lda, &beta_, res, &ldc); \
112 MKL_INT lda=lhsStride, ldc=resStride, n=size, k=depth; \
127 lda = a.outerStride(); \
130 MKLFUNC(&uplo, &trans, &n, &k, &alpha_, (MKLTYPE*)a_ptr, &lda, &beta_, (MKLTYPE*)res, &ldc); \
TriangularMatrixVector_MKL.h 108 MKL_INT m, n, lda, incx, incy; \
116 lda = lhsStride; \
126 MKLPREFIX##trmv(&uplo, &trans, &diag, &n, (const MKLTYPE*)_lhs, &lda, (MKLTYPE*)x, &incx); \
144 a = _lhs + size*lda; \
148 MKLPREFIX##gemv(&trans, &m, &n, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)x, &incx, &beta_, (MKLTYPE*)y, &incy); \
193 MKL_INT m, n, lda, incx, incy; \
201 lda = lhsStride; \
211 MKLPREFIX##trmv(&uplo, &trans, &diag, &n, (const MKLTYPE*)_lhs, &lda, (MKLTYPE*)x, &incx); \
222 a = _lhs + size*lda; \
233 MKLPREFIX##gemv(&trans, &n, &m, &alpha_, (const MKLTYPE*)a, &lda, (const MKLTYPE*)x, &incx, &beta_, (MKLTYPE*)y, &incy);
    [all...]
SelfadjointMatrixVector_MKL.h 88 MKL_INT n=size, lda=lhsStride, incx=rhsIncr, incy=1; \
101 MKLFUNC(&uplo, &n, &alpha_, (const MKLTYPE*)lhs, &lda, (const MKLTYPE*)x_ptr, &incx, &beta_, (MKLTYPE*)res, &incy); \
  /external/eigen/Eigen/src/QR/
HouseholderQR_MKL.h 53 lapack_int lda = mat.outerStride(); \
55 LAPACKE_##MKLPREFIX##geqrf( matrix_order, m, n, (MKLTYPE*)mat.data(), lda, (MKLTYPE*)hCoeffs.data()); \
  /external/srec/config/en.us/
config.mk 12 models/generic11.lda \
15 models/generic8.lda \
  /external/eigen/Eigen/src/LU/
PartialPivLU_MKL.h 53 lapack_int m, n, lda, *ipiv, info; \
57 lda = luStride; \
64 info = LAPACKE_##MKLPREFIX##getrf( matrix_order, m, n, (MKLTYPE*)a, lda, ipiv ); \
  /external/eigen/Eigen/src/Cholesky/
LLT_MKL.h 52 lapack_int size, lda, info, StorageOrder; \
60 lda = m.outerStride(); \
62 info = LAPACKE_##MKLPREFIX##potrf( matrix_order, uplo, size, (MKLTYPE*)a, lda ); \
  /external/eigen/Eigen/src/Eigenvalues/
SelfAdjointEigenSolver_MKL.h 52 lapack_int n = matrix.cols(), lda, matrix_order, info; \
67 lda = matrix.outerStride(); \
72 info = LAPACKE_##MKLNAME( matrix_order, jobz, uplo, n, (MKLTYPE*)m_eivec.data(), lda, (MKLRTYPE*)m_eivalues.data() ); \
ComplexSchur_MKL.h 65 lapack_int lda = matrix.outerStride(); \
75 info = LAPACKE_##MKLPREFIX##gees( matrix_order, jobvs, sort, select, n, (MKLTYPE*)m_matT.data(), lda, &sdim, (MKLTYPE*)w.data(), (MKLTYPE*)m_matU.data(), ldvs ); \
RealSchur_MKL.h 54 lapack_int lda = matrix.outerStride(); \
64 info = LAPACKE_##MKLPREFIX##gees( matrix_order, jobvs, sort, select, n, (MKLTYPE*)m_matT.data(), lda, &sdim, (MKLTYPE*)wr.data(), (MKLTYPE*)wi.data(), (MKLTYPE*)m_matU.data(), ldvs ); \
  /external/chromium_org/third_party/openssl/openssl/crypto/bn/asm/
alpha-mont.pl 60 lda sp,-48(sp)
83 lda AT,-4096(zero) # mov -4096,AT
116 lda $tp,8($tp)
208 lda $tp,8($tp)
275 lda $tp,8($tp)
276 lda $np,8($np)
284 lda $rp,8($rp)
297 lda $tp,8($tp)
298 lda $rp,8($rp)
299 lda $ap,8($ap
    [all...]
  /external/openssl/crypto/bn/asm/
alpha-mont.pl 60 lda sp,-48(sp)
83 lda AT,-4096(zero) # mov -4096,AT
116 lda $tp,8($tp)
208 lda $tp,8($tp)
275 lda $tp,8($tp)
276 lda $np,8($np)
284 lda $rp,8($rp)
297 lda $tp,8($tp)
298 lda $rp,8($rp)
299 lda $ap,8($ap
    [all...]
  /external/chromium_org/third_party/openssl/openssl/crypto/
alphacpuid.pl 107 lda $16,1($16)
120 lda $16,8($16)

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