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fix more warnings in MKL support
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@ -143,7 +143,7 @@ EIGEN_MKL_VML_SPECIALIZE_ASSIGN(SliceVectorizedTraversal,NoUnrolling)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
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template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
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enum { IsSupported = 1 }; \
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static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& func, \
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static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/, \
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int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
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VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst); \
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} \
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@ -152,7 +152,7 @@ EIGEN_MKL_VML_SPECIALIZE_ASSIGN(SliceVectorizedTraversal,NoUnrolling)
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#define EIGEN_MKL_VML_DECLARE_UNARY_CALL_LA(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE) \
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template<> struct vml_call< scalar_##EIGENOP##_op<EIGENTYPE> > { \
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enum { IsSupported = 1 }; \
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static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& func, \
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static inline void run( const scalar_##EIGENOP##_op<EIGENTYPE>& /*func*/, \
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int size, const EIGENTYPE* src, EIGENTYPE* dst) { \
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MKL_INT64 vmlMode = EIGEN_MKL_VML_MODE; \
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VMLOP(size, (const VMLTYPE*)src, (VMLTYPE*)dst, vmlMode); \
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@ -58,8 +58,8 @@ static void run(Index rows, Index cols, Index depth, \
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const EIGTYPE* _rhs, Index rhsStride, \
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EIGTYPE* res, Index resStride, \
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EIGTYPE alpha, \
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level3_blocking<EIGTYPE, EIGTYPE>& blocking, \
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GemmParallelInfo<Index>* info = 0) \
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level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/, \
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GemmParallelInfo<Index>* /*info = 0*/) \
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{ \
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using std::conj; \
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\
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@ -124,7 +124,7 @@ struct product_triangular_matrix_matrix_trmm<EIGTYPE,Index,Mode,true, \
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MKL_INT aStride = aa_tmp.outerStride(); \
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gemm_blocking_space<ColMajor,EIGTYPE,EIGTYPE,Dynamic,Dynamic,Dynamic> blocking(_rows,_cols,_depth); \
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general_matrix_matrix_product<Index,EIGTYPE,LhsStorageOrder,ConjugateLhs,EIGTYPE,RhsStorageOrder,ConjugateRhs,ColMajor>::run( \
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rows, cols, depth, aa_tmp.data(), aStride, _rhs, rhsStride, res, resStride, alpha, blocking); \
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rows, cols, depth, aa_tmp.data(), aStride, _rhs, rhsStride, res, resStride, alpha, blocking, 0); \
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\
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/*std::cout << "TRMM_L: A is not square! Go to MKL GEMM implementation! " << nthr<<" \n";*/ \
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} \
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@ -238,7 +238,7 @@ struct product_triangular_matrix_matrix_trmm<EIGTYPE,Index,Mode,false, \
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MKL_INT aStride = aa_tmp.outerStride(); \
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gemm_blocking_space<ColMajor,EIGTYPE,EIGTYPE,Dynamic,Dynamic,Dynamic> blocking(_rows,_cols,_depth); \
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general_matrix_matrix_product<Index,EIGTYPE,LhsStorageOrder,ConjugateLhs,EIGTYPE,RhsStorageOrder,ConjugateRhs,ColMajor>::run( \
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rows, cols, depth, _lhs, lhsStride, aa_tmp.data(), aStride, res, resStride, alpha, blocking); \
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rows, cols, depth, _lhs, lhsStride, aa_tmp.data(), aStride, res, resStride, alpha, blocking, 0); \
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\
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/*std::cout << "TRMM_R: A is not square! Go to MKL GEMM implementation! " << nthr<<" \n";*/ \
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} \
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@ -247,7 +247,7 @@ struct product_triangular_matrix_matrix_trmm<EIGTYPE,Index,Mode,false, \
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char side = 'R', transa, uplo, diag = 'N'; \
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EIGTYPE *b; \
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const EIGTYPE *a; \
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MKL_INT m, n, lda, ldb, ldc; \
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MKL_INT m, n, lda, ldb; \
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MKLTYPE alpha_; \
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\
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/* Set alpha_*/ \
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@ -138,7 +138,7 @@ struct triangular_matrix_vector_product_trmv<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,
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m = rows-size; \
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n = size; \
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} \
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if (size<cols) { \
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else { \
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x += size; \
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y = _res; \
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a = _lhs + size*lda; \
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@ -223,7 +223,7 @@ struct triangular_matrix_vector_product_trmv<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,
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m = rows-size; \
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n = size; \
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} \
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if (size<cols) { \
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else { \
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x += size; \
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y = _res; \
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a = _lhs + size; \
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@ -48,6 +48,7 @@ struct partial_lu_impl<EIGTYPE, StorageOrder, lapack_int> \
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/* \internal performs the LU decomposition in-place of the matrix represented */ \
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static lapack_int blocked_lu(lapack_int rows, lapack_int cols, EIGTYPE* lu_data, lapack_int luStride, lapack_int* row_transpositions, lapack_int& nb_transpositions, lapack_int maxBlockSize=256) \
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{ \
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EIGEN_UNUSED_VARIABLE(maxBlockSize);\
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lapack_int matrix_order, first_zero_pivot; \
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lapack_int m, n, lda, *ipiv, info; \
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EIGTYPE* a; \
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