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https://gitlab.com/libeigen/eigen.git
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Implement functors for rank-1 and rank-2 update.
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@@ -68,6 +68,20 @@ int EIGEN_BLAS_FUNC(syr)(char *uplo, int *n, RealScalar *palpha, RealScalar *px,
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// init = true;
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// }
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typedef void (*functype)(int, Scalar*, int, const Scalar*, Scalar);
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static functype func[2];
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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<2; ++k)
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func[k] = 0;
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func[UP] = (selfadjoint_rank1_update<Scalar,int,ColMajor,Upper,false,Conj>::run);
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func[LO] = (selfadjoint_rank1_update<Scalar,int,ColMajor,Lower,false,Conj>::run);
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init = true;
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}
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* c = reinterpret_cast<Scalar*>(pc);
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@@ -86,18 +100,11 @@ int EIGEN_BLAS_FUNC(syr)(char *uplo, int *n, RealScalar *palpha, RealScalar *px,
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// if the increment is not 1, let's copy it to a temporary vector to enable vectorization
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Scalar* x_cpy = get_compact_vector(x,*n,*incx);
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Matrix<Scalar,Dynamic,Dynamic> m2(matrix(c,*n,*n,*ldc));
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// TODO check why this is not accurate enough for lapack tests
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// if(UPLO(*uplo)==LO) matrix(c,*n,*n,*ldc).selfadjointView<Lower>().rankUpdate(vector(x_cpy,*n), alpha);
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// else if(UPLO(*uplo)==UP) matrix(c,*n,*n,*ldc).selfadjointView<Upper>().rankUpdate(vector(x_cpy,*n), alpha);
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int code = UPLO(*uplo);
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if(code>=2 || func[code]==0)
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return 0;
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if(UPLO(*uplo)==LO)
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for(int j=0;j<*n;++j)
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matrix(c,*n,*n,*ldc).col(j).tail(*n-j) += alpha * x_cpy[j] * vector(x_cpy+j,*n-j);
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else
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for(int j=0;j<*n;++j)
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matrix(c,*n,*n,*ldc).col(j).head(j+1) += alpha * x_cpy[j] * vector(x_cpy,j+1);
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func[code](*n, c, *ldc, x_cpy, alpha);
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if(x_cpy!=x) delete[] x_cpy;
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@@ -121,6 +128,20 @@ int EIGEN_BLAS_FUNC(syr2)(char *uplo, int *n, RealScalar *palpha, RealScalar *px
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//
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// init = true;
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// }
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typedef void (*functype)(int, Scalar*, int, const Scalar*, const Scalar*, Scalar);
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static functype func[2];
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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<2; ++k)
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func[k] = 0;
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func[UP] = (internal::rank2_update_selector<Scalar,int,Upper>::run);
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func[LO] = (internal::rank2_update_selector<Scalar,int,Lower>::run);
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init = true;
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}
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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@@ -141,10 +162,12 @@ int EIGEN_BLAS_FUNC(syr2)(char *uplo, int *n, RealScalar *palpha, RealScalar *px
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Scalar* x_cpy = get_compact_vector(x,*n,*incx);
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Scalar* y_cpy = get_compact_vector(y,*n,*incy);
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int code = UPLO(*uplo);
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if(code>=2 || func[code]==0)
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return 0;
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// TODO perform direct calls to underlying implementation
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if(UPLO(*uplo)==LO) matrix(c,*n,*n,*ldc).selfadjointView<Lower>().rankUpdate(vector(x_cpy,*n), vector(y_cpy,*n), alpha);
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else if(UPLO(*uplo)==UP) matrix(c,*n,*n,*ldc).selfadjointView<Upper>().rankUpdate(vector(x_cpy,*n), vector(y_cpy,*n), alpha);
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func[code](*n, c, *ldc, x_cpy, y_cpy, alpha);
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if(x_cpy!=x) delete[] x_cpy;
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if(y_cpy!=y) delete[] y_cpy;
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@@ -208,3 +231,41 @@ int EIGEN_BLAS_FUNC(syr2)(char *uplo, int *n, RealScalar *palpha, RealScalar *px
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// return 1;
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// }
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/** DGER performs the rank 1 operation
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*
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* A := alpha*x*y' + A,
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*
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* where alpha is a scalar, x is an m element vector, y is an n element
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* vector and A is an m by n matrix.
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*/
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int EIGEN_BLAS_FUNC(ger)(int *m, int *n, Scalar *palpha, Scalar *px, int *incx, Scalar *py, int *incy, Scalar *pa, int *lda)
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{
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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Scalar* a = reinterpret_cast<Scalar*>(pa);
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Scalar alpha = *reinterpret_cast<Scalar*>(palpha);
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int info = 0;
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if(*m<0) info = 1;
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else if(*n<0) info = 2;
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else if(*incx==0) info = 5;
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else if(*incy==0) info = 7;
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else if(*lda<std::max(1,*m)) info = 9;
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if(info)
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return xerbla_(SCALAR_SUFFIX_UP"GER ",&info,6);
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if(alpha==Scalar(0))
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return 1;
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Scalar* x_cpy = get_compact_vector(x,*m,*incx);
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Scalar* y_cpy = get_compact_vector(y,*n,*incy);
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internal::general_rank1_update<Scalar,int,false>::run(*m, *n, a, *lda, x_cpy, y_cpy, alpha);
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if(x_cpy!=x) delete[] x_cpy;
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if(y_cpy!=y) delete[] y_cpy;
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return 1;
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}
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