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diff --git a/runtimes/nn/depend/external/eigen/Eigen/src/Core/products/TriangularMatrixMatrix.h b/runtimes/nn/depend/external/eigen/Eigen/src/Core/products/TriangularMatrixMatrix.h
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRIANGULAR_MATRIX_MATRIX_H
+#define EIGEN_TRIANGULAR_MATRIX_MATRIX_H
+
+namespace Eigen {
+
+namespace internal {
+
+// template<typename Scalar, int mr, int StorageOrder, bool Conjugate, int Mode>
+// struct gemm_pack_lhs_triangular
+// {
+// Matrix<Scalar,mr,mr,
+// void operator()(Scalar* blockA, const EIGEN_RESTRICT Scalar* _lhs, int lhsStride, int depth, int rows)
+// {
+// conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
+// const_blas_data_mapper<Scalar, StorageOrder> lhs(_lhs,lhsStride);
+// int count = 0;
+// const int peeled_mc = (rows/mr)*mr;
+// for(int i=0; i<peeled_mc; i+=mr)
+// {
+// for(int k=0; k<depth; k++)
+// for(int w=0; w<mr; w++)
+// blockA[count++] = cj(lhs(i+w, k));
+// }
+// for(int i=peeled_mc; i<rows; i++)
+// {
+// for(int k=0; k<depth; k++)
+// blockA[count++] = cj(lhs(i, k));
+// }
+// }
+// };
+
+/* Optimized triangular matrix * matrix (_TRMM++) product built on top of
+ * the general matrix matrix product.
+ */
+template <typename Scalar, typename Index,
+ int Mode, bool LhsIsTriangular,
+ int LhsStorageOrder, bool ConjugateLhs,
+ int RhsStorageOrder, bool ConjugateRhs,
+ int ResStorageOrder, int Version = Specialized>
+struct product_triangular_matrix_matrix;
+
+template <typename Scalar, typename Index,
+ int Mode, bool LhsIsTriangular,
+ int LhsStorageOrder, bool ConjugateLhs,
+ int RhsStorageOrder, bool ConjugateRhs, int Version>
+struct product_triangular_matrix_matrix<Scalar,Index,Mode,LhsIsTriangular,
+ LhsStorageOrder,ConjugateLhs,
+ RhsStorageOrder,ConjugateRhs,RowMajor,Version>
+{
+ static EIGEN_STRONG_INLINE void run(
+ Index rows, Index cols, Index depth,
+ const Scalar* lhs, Index lhsStride,
+ const Scalar* rhs, Index rhsStride,
+ Scalar* res, Index resStride,
+ const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+ {
+ product_triangular_matrix_matrix<Scalar, Index,
+ (Mode&(UnitDiag|ZeroDiag)) | ((Mode&Upper) ? Lower : Upper),
+ (!LhsIsTriangular),
+ RhsStorageOrder==RowMajor ? ColMajor : RowMajor,
+ ConjugateRhs,
+ LhsStorageOrder==RowMajor ? ColMajor : RowMajor,
+ ConjugateLhs,
+ ColMajor>
+ ::run(cols, rows, depth, rhs, rhsStride, lhs, lhsStride, res, resStride, alpha, blocking);
+ }
+};
+
+// implements col-major += alpha * op(triangular) * op(general)
+template <typename Scalar, typename Index, int Mode,
+ int LhsStorageOrder, bool ConjugateLhs,
+ int RhsStorageOrder, bool ConjugateRhs, int Version>
+struct product_triangular_matrix_matrix<Scalar,Index,Mode,true,
+ LhsStorageOrder,ConjugateLhs,
+ RhsStorageOrder,ConjugateRhs,ColMajor,Version>
+{
+
+ typedef gebp_traits<Scalar,Scalar> Traits;
+ enum {
+ SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
+ IsLower = (Mode&Lower) == Lower,
+ SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1
+ };
+
+ static EIGEN_DONT_INLINE void run(
+ Index _rows, Index _cols, Index _depth,
+ const Scalar* _lhs, Index lhsStride,
+ const Scalar* _rhs, Index rhsStride,
+ Scalar* res, Index resStride,
+ const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking);
+};
+
+template <typename Scalar, typename Index, int Mode,
+ int LhsStorageOrder, bool ConjugateLhs,
+ int RhsStorageOrder, bool ConjugateRhs, int Version>
+EIGEN_DONT_INLINE void product_triangular_matrix_matrix<Scalar,Index,Mode,true,
+ LhsStorageOrder,ConjugateLhs,
+ RhsStorageOrder,ConjugateRhs,ColMajor,Version>::run(
+ Index _rows, Index _cols, Index _depth,
+ const Scalar* _lhs, Index lhsStride,
+ const Scalar* _rhs, Index rhsStride,
+ Scalar* _res, Index resStride,
+ const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+ {
+ // strip zeros
+ Index diagSize = (std::min)(_rows,_depth);
+ Index rows = IsLower ? _rows : diagSize;
+ Index depth = IsLower ? diagSize : _depth;
+ Index cols = _cols;
+
+ typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
+ typedef const_blas_data_mapper<Scalar, Index, RhsStorageOrder> RhsMapper;
+ typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor> ResMapper;
+ LhsMapper lhs(_lhs,lhsStride);
+ RhsMapper rhs(_rhs,rhsStride);
+ ResMapper res(_res, resStride);
+
+ Index kc = blocking.kc(); // cache block size along the K direction
+ Index mc = (std::min)(rows,blocking.mc()); // cache block size along the M direction
+ // The small panel size must not be larger than blocking size.
+ // Usually this should never be the case because SmallPanelWidth^2 is very small
+ // compared to L2 cache size, but let's be safe:
+ Index panelWidth = (std::min)(Index(SmallPanelWidth),(std::min)(kc,mc));
+
+ std::size_t sizeA = kc*mc;
+ std::size_t sizeB = kc*cols;
+
+ ei_declare_aligned_stack_constructed_variable(Scalar, blockA, sizeA, blocking.blockA());
+ ei_declare_aligned_stack_constructed_variable(Scalar, blockB, sizeB, blocking.blockB());
+
+ Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer((internal::constructor_without_unaligned_array_assert()));
+ triangularBuffer.setZero();
+ if((Mode&ZeroDiag)==ZeroDiag)
+ triangularBuffer.diagonal().setZero();
+ else
+ triangularBuffer.diagonal().setOnes();
+
+ gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
+ gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
+ gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr,RhsStorageOrder> pack_rhs;
+
+ for(Index k2=IsLower ? depth : 0;
+ IsLower ? k2>0 : k2<depth;
+ IsLower ? k2-=kc : k2+=kc)
+ {
+ Index actual_kc = (std::min)(IsLower ? k2 : depth-k2, kc);
+ Index actual_k2 = IsLower ? k2-actual_kc : k2;
+
+ // align blocks with the end of the triangular part for trapezoidal lhs
+ if((!IsLower)&&(k2<rows)&&(k2+actual_kc>rows))
+ {
+ actual_kc = rows-k2;
+ k2 = k2+actual_kc-kc;
+ }
+
+ pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
+
+ // the selected lhs's panel has to be split in three different parts:
+ // 1 - the part which is zero => skip it
+ // 2 - the diagonal block => special kernel
+ // 3 - the dense panel below (lower case) or above (upper case) the diagonal block => GEPP
+
+ // the block diagonal, if any:
+ if(IsLower || actual_k2<rows)
+ {
+ // for each small vertical panels of lhs
+ for (Index k1=0; k1<actual_kc; k1+=panelWidth)
+ {
+ Index actualPanelWidth = std::min<Index>(actual_kc-k1, panelWidth);
+ Index lengthTarget = IsLower ? actual_kc-k1-actualPanelWidth : k1;
+ Index startBlock = actual_k2+k1;
+ Index blockBOffset = k1;
+
+ // => GEBP with the micro triangular block
+ // The trick is to pack this micro block while filling the opposite triangular part with zeros.
+ // To this end we do an extra triangular copy to a small temporary buffer
+ for (Index k=0;k<actualPanelWidth;++k)
+ {
+ if (SetDiag)
+ triangularBuffer.coeffRef(k,k) = lhs(startBlock+k,startBlock+k);
+ for (Index i=IsLower ? k+1 : 0; IsLower ? i<actualPanelWidth : i<k; ++i)
+ triangularBuffer.coeffRef(i,k) = lhs(startBlock+i,startBlock+k);
+ }
+ pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
+
+ gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
+ actualPanelWidth, actualPanelWidth, cols, alpha,
+ actualPanelWidth, actual_kc, 0, blockBOffset);
+
+ // GEBP with remaining micro panel
+ if (lengthTarget>0)
+ {
+ Index startTarget = IsLower ? actual_k2+k1+actualPanelWidth : actual_k2;
+
+ pack_lhs(blockA, lhs.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
+
+ gebp_kernel(res.getSubMapper(startTarget, 0), blockA, blockB,
+ lengthTarget, actualPanelWidth, cols, alpha,
+ actualPanelWidth, actual_kc, 0, blockBOffset);
+ }
+ }
+ }
+ // the part below (lower case) or above (upper case) the diagonal => GEPP
+ {
+ Index start = IsLower ? k2 : 0;
+ Index end = IsLower ? rows : (std::min)(actual_k2,rows);
+ for(Index i2=start; i2<end; i2+=mc)
+ {
+ const Index actual_mc = (std::min)(i2+mc,end)-i2;
+ gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr,Traits::LhsProgress, LhsStorageOrder,false>()
+ (blockA, lhs.getSubMapper(i2, actual_k2), actual_kc, actual_mc);
+
+ gebp_kernel(res.getSubMapper(i2, 0), blockA, blockB, actual_mc,
+ actual_kc, cols, alpha, -1, -1, 0, 0);
+ }
+ }
+ }
+ }
+
+// implements col-major += alpha * op(general) * op(triangular)
+template <typename Scalar, typename Index, int Mode,
+ int LhsStorageOrder, bool ConjugateLhs,
+ int RhsStorageOrder, bool ConjugateRhs, int Version>
+struct product_triangular_matrix_matrix<Scalar,Index,Mode,false,
+ LhsStorageOrder,ConjugateLhs,
+ RhsStorageOrder,ConjugateRhs,ColMajor,Version>
+{
+ typedef gebp_traits<Scalar,Scalar> Traits;
+ enum {
+ SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
+ IsLower = (Mode&Lower) == Lower,
+ SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1
+ };
+
+ static EIGEN_DONT_INLINE void run(
+ Index _rows, Index _cols, Index _depth,
+ const Scalar* _lhs, Index lhsStride,
+ const Scalar* _rhs, Index rhsStride,
+ Scalar* res, Index resStride,
+ const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking);
+};
+
+template <typename Scalar, typename Index, int Mode,
+ int LhsStorageOrder, bool ConjugateLhs,
+ int RhsStorageOrder, bool ConjugateRhs, int Version>
+EIGEN_DONT_INLINE void product_triangular_matrix_matrix<Scalar,Index,Mode,false,
+ LhsStorageOrder,ConjugateLhs,
+ RhsStorageOrder,ConjugateRhs,ColMajor,Version>::run(
+ Index _rows, Index _cols, Index _depth,
+ const Scalar* _lhs, Index lhsStride,
+ const Scalar* _rhs, Index rhsStride,
+ Scalar* _res, Index resStride,
+ const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+ {
+ const Index PacketBytes = packet_traits<Scalar>::size*sizeof(Scalar);
+ // strip zeros
+ Index diagSize = (std::min)(_cols,_depth);
+ Index rows = _rows;
+ Index depth = IsLower ? _depth : diagSize;
+ Index cols = IsLower ? diagSize : _cols;
+
+ typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
+ typedef const_blas_data_mapper<Scalar, Index, RhsStorageOrder> RhsMapper;
+ typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor> ResMapper;
+ LhsMapper lhs(_lhs,lhsStride);
+ RhsMapper rhs(_rhs,rhsStride);
+ ResMapper res(_res, resStride);
+
+ Index kc = blocking.kc(); // cache block size along the K direction
+ Index mc = (std::min)(rows,blocking.mc()); // cache block size along the M direction
+
+ std::size_t sizeA = kc*mc;
+ std::size_t sizeB = kc*cols+EIGEN_MAX_ALIGN_BYTES/sizeof(Scalar);
+
+ ei_declare_aligned_stack_constructed_variable(Scalar, blockA, sizeA, blocking.blockA());
+ ei_declare_aligned_stack_constructed_variable(Scalar, blockB, sizeB, blocking.blockB());
+
+ Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,RhsStorageOrder> triangularBuffer((internal::constructor_without_unaligned_array_assert()));
+ triangularBuffer.setZero();
+ if((Mode&ZeroDiag)==ZeroDiag)
+ triangularBuffer.diagonal().setZero();
+ else
+ triangularBuffer.diagonal().setOnes();
+
+ gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
+ gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
+ gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr,RhsStorageOrder> pack_rhs;
+ gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr,RhsStorageOrder,false,true> pack_rhs_panel;
+
+ for(Index k2=IsLower ? 0 : depth;
+ IsLower ? k2<depth : k2>0;
+ IsLower ? k2+=kc : k2-=kc)
+ {
+ Index actual_kc = (std::min)(IsLower ? depth-k2 : k2, kc);
+ Index actual_k2 = IsLower ? k2 : k2-actual_kc;
+
+ // align blocks with the end of the triangular part for trapezoidal rhs
+ if(IsLower && (k2<cols) && (actual_k2+actual_kc>cols))
+ {
+ actual_kc = cols-k2;
+ k2 = actual_k2 + actual_kc - kc;
+ }
+
+ // remaining size
+ Index rs = IsLower ? (std::min)(cols,actual_k2) : cols - k2;
+ // size of the triangular part
+ Index ts = (IsLower && actual_k2>=cols) ? 0 : actual_kc;
+
+ Scalar* geb = blockB+ts*ts;
+ geb = geb + internal::first_aligned<PacketBytes>(geb,PacketBytes/sizeof(Scalar));
+
+ pack_rhs(geb, rhs.getSubMapper(actual_k2,IsLower ? 0 : k2), actual_kc, rs);
+
+ // pack the triangular part of the rhs padding the unrolled blocks with zeros
+ if(ts>0)
+ {
+ for (Index j2=0; j2<actual_kc; j2+=SmallPanelWidth)
+ {
+ Index actualPanelWidth = std::min<Index>(actual_kc-j2, SmallPanelWidth);
+ Index actual_j2 = actual_k2 + j2;
+ Index panelOffset = IsLower ? j2+actualPanelWidth : 0;
+ Index panelLength = IsLower ? actual_kc-j2-actualPanelWidth : j2;
+ // general part
+ pack_rhs_panel(blockB+j2*actual_kc,
+ rhs.getSubMapper(actual_k2+panelOffset, actual_j2),
+ panelLength, actualPanelWidth,
+ actual_kc, panelOffset);
+
+ // append the triangular part via a temporary buffer
+ for (Index j=0;j<actualPanelWidth;++j)
+ {
+ if (SetDiag)
+ triangularBuffer.coeffRef(j,j) = rhs(actual_j2+j,actual_j2+j);
+ for (Index k=IsLower ? j+1 : 0; IsLower ? k<actualPanelWidth : k<j; ++k)
+ triangularBuffer.coeffRef(k,j) = rhs(actual_j2+k,actual_j2+j);
+ }
+
+ pack_rhs_panel(blockB+j2*actual_kc,
+ RhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()),
+ actualPanelWidth, actualPanelWidth,
+ actual_kc, j2);
+ }
+ }
+
+ for (Index i2=0; i2<rows; i2+=mc)
+ {
+ const Index actual_mc = (std::min)(mc,rows-i2);
+ pack_lhs(blockA, lhs.getSubMapper(i2, actual_k2), actual_kc, actual_mc);
+
+ // triangular kernel
+ if(ts>0)
+ {
+ for (Index j2=0; j2<actual_kc; j2+=SmallPanelWidth)
+ {
+ Index actualPanelWidth = std::min<Index>(actual_kc-j2, SmallPanelWidth);
+ Index panelLength = IsLower ? actual_kc-j2 : j2+actualPanelWidth;
+ Index blockOffset = IsLower ? j2 : 0;
+
+ gebp_kernel(res.getSubMapper(i2, actual_k2 + j2),
+ blockA, blockB+j2*actual_kc,
+ actual_mc, panelLength, actualPanelWidth,
+ alpha,
+ actual_kc, actual_kc, // strides
+ blockOffset, blockOffset);// offsets
+ }
+ }
+ gebp_kernel(res.getSubMapper(i2, IsLower ? 0 : k2),
+ blockA, geb, actual_mc, actual_kc, rs,
+ alpha,
+ -1, -1, 0, 0);
+ }
+ }
+ }
+
+/***************************************************************************
+* Wrapper to product_triangular_matrix_matrix
+***************************************************************************/
+
+} // end namespace internal
+
+namespace internal {
+template<int Mode, bool LhsIsTriangular, typename Lhs, typename Rhs>
+struct triangular_product_impl<Mode,LhsIsTriangular,Lhs,false,Rhs,false>
+{
+ template<typename Dest> static void run(Dest& dst, const Lhs &a_lhs, const Rhs &a_rhs, const typename Dest::Scalar& alpha)
+ {
+ typedef typename Dest::Scalar Scalar;
+
+ typedef internal::blas_traits<Lhs> LhsBlasTraits;
+ typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+ typedef typename internal::remove_all<ActualLhsType>::type ActualLhsTypeCleaned;
+ typedef internal::blas_traits<Rhs> RhsBlasTraits;
+ typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+ typedef typename internal::remove_all<ActualRhsType>::type ActualRhsTypeCleaned;
+
+ typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(a_lhs);
+ typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(a_rhs);
+
+ Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(a_lhs)
+ * RhsBlasTraits::extractScalarFactor(a_rhs);
+
+ typedef internal::gemm_blocking_space<(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor,Scalar,Scalar,
+ Lhs::MaxRowsAtCompileTime, Rhs::MaxColsAtCompileTime, Lhs::MaxColsAtCompileTime,4> BlockingType;
+
+ enum { IsLower = (Mode&Lower) == Lower };
+ Index stripedRows = ((!LhsIsTriangular) || (IsLower)) ? lhs.rows() : (std::min)(lhs.rows(),lhs.cols());
+ Index stripedCols = ((LhsIsTriangular) || (!IsLower)) ? rhs.cols() : (std::min)(rhs.cols(),rhs.rows());
+ Index stripedDepth = LhsIsTriangular ? ((!IsLower) ? lhs.cols() : (std::min)(lhs.cols(),lhs.rows()))
+ : ((IsLower) ? rhs.rows() : (std::min)(rhs.rows(),rhs.cols()));
+
+ BlockingType blocking(stripedRows, stripedCols, stripedDepth, 1, false);
+
+ internal::product_triangular_matrix_matrix<Scalar, Index,
+ Mode, LhsIsTriangular,
+ (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
+ (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
+ (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor>
+ ::run(
+ stripedRows, stripedCols, stripedDepth, // sizes
+ &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
+ &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
+ &dst.coeffRef(0,0), dst.outerStride(), // result info
+ actualAlpha, blocking
+ );
+ }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULAR_MATRIX_MATRIX_H