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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Implement packed triangular matrix-vector product.
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@@ -187,7 +187,7 @@ int EIGEN_BLAS_FUNC(trmv)(char *uplo, char *opa, char *diag, int *n, RealScalar
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copy_back(res.data(),b,*n,*incb);
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if(actual_b!=b) delete[] actual_b;
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return 0;
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return 1;
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}
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/** GBMV performs one of the matrix-vector operations
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@@ -399,10 +399,66 @@ int EIGEN_BLAS_FUNC(tbsv)(char *uplo, char *op, char *diag, int *n, int *k, Real
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* where x is an n element vector and A is an n by n unit, or non-unit,
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* upper or lower triangular matrix, supplied in packed form.
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*/
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// int EIGEN_BLAS_FUNC(tpmv)(char *uplo, char *trans, char *diag, int *n, RealScalar *ap, RealScalar *x, int *incx)
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// {
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// return 1;
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// }
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int EIGEN_BLAS_FUNC(tpmv)(char *uplo, char *opa, char *diag, int *n, RealScalar *pap, RealScalar *px, int *incx)
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{
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typedef void (*functype)(int, const Scalar*, const Scalar*, Scalar*, Scalar);
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static functype func[16];
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static bool init = false;
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if(!init)
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{
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for(int k=0; k<16; ++k)
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func[k] = 0;
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func[NOTR | (UP << 2) | (NUNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Upper|0, Scalar,false,Scalar,false,ColMajor>::run);
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func[TR | (UP << 2) | (NUNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Lower|0, Scalar,false,Scalar,false,RowMajor>::run);
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func[ADJ | (UP << 2) | (NUNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Lower|0, Scalar,Conj, Scalar,false,RowMajor>::run);
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func[NOTR | (LO << 2) | (NUNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Lower|0, Scalar,false,Scalar,false,ColMajor>::run);
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func[TR | (LO << 2) | (NUNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Upper|0, Scalar,false,Scalar,false,RowMajor>::run);
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func[ADJ | (LO << 2) | (NUNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Upper|0, Scalar,Conj, Scalar,false,RowMajor>::run);
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func[NOTR | (UP << 2) | (UNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Upper|UnitDiag,Scalar,false,Scalar,false,ColMajor>::run);
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func[TR | (UP << 2) | (UNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Lower|UnitDiag,Scalar,false,Scalar,false,RowMajor>::run);
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func[ADJ | (UP << 2) | (UNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Lower|UnitDiag,Scalar,Conj, Scalar,false,RowMajor>::run);
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func[NOTR | (LO << 2) | (UNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Lower|UnitDiag,Scalar,false,Scalar,false,ColMajor>::run);
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func[TR | (LO << 2) | (UNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Upper|UnitDiag,Scalar,false,Scalar,false,RowMajor>::run);
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func[ADJ | (LO << 2) | (UNIT << 3)] = (internal::packed_triangular_matrix_vector_product<int,Upper|UnitDiag,Scalar,Conj, Scalar,false,RowMajor>::run);
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init = true;
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}
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Scalar* ap = reinterpret_cast<Scalar*>(pap);
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Scalar* x = reinterpret_cast<Scalar*>(px);
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int info = 0;
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if(UPLO(*uplo)==INVALID) info = 1;
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else if(OP(*opa)==INVALID) info = 2;
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else if(DIAG(*diag)==INVALID) info = 3;
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else if(*n<0) info = 4;
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else if(*incx==0) info = 7;
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if(info)
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return xerbla_(SCALAR_SUFFIX_UP"TPMV ",&info,6);
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if(*n==0)
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return 1;
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Scalar* actual_x = get_compact_vector(x,*n,*incx);
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Matrix<Scalar,Dynamic,1> res(*n);
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res.setZero();
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int code = OP(*opa) | (UPLO(*uplo) << 2) | (DIAG(*diag) << 3);
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if(code>=16 || func[code]==0)
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return 0;
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func[code](*n, ap, actual_x, res.data(), Scalar(1));
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copy_back(res.data(),x,*n,*incx);
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if(actual_x!=x) delete[] actual_x;
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return 1;
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}
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/** DTPSV solves one of the systems of equations
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*
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