/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include #include "unsupported/Eigen/CXX11/Tensor" namespace paddle { template struct EigenBlasGemm { typedef Eigen::TensorMap, Eigen::Aligned> Matrix; static void compute(const bool transA, const bool transB, const int M, const int N, const int K, const T alpha, const T* A, const int lda, const T* B, const int ldb, const T beta, T* C, const int ldc) { Eigen::array sizeA; if (transA) { sizeA[0] = K; sizeA[1] = M; CHECK_EQ(M, lda); } else { sizeA[0] = M; sizeA[1] = K; CHECK_EQ(K, lda); } Eigen::array sizeB; if (transB) { sizeB[0] = N; sizeB[1] = K; CHECK_EQ(K, ldb); } else { sizeB[0] = K; sizeB[1] = N; CHECK_EQ(N, ldb); } Eigen::array sizeC; sizeC[0] = M; sizeC[1] = N; CHECK_EQ(N, ldc); const Matrix a(const_cast(A), sizeA); const Matrix b(const_cast(B), sizeB); Matrix c(C, sizeC); typedef typename Eigen::Tensor::DimensionPair DimPair; Eigen::array dims; dims[0] = DimPair(1, 0); dims[0].first = transA ? 0 : 1; dims[0].second = transB ? 1 : 0; Eigen::DefaultDevice device; if (alpha == T(1) && beta == T(0)) { c.device(device) = a.contract(b, dims); } else if (alpha == T(1) && beta == T(1)) { c.device(device) += a.contract(b, dims); } else { c.device(device) = c.constant(alpha) * a.contract(b, dims) + c.constant(beta) * c; } } }; #ifdef PADDLE_TYPE_DOUBLE template class EigenBlasGemm; #else template class EigenBlasGemm; #endif } // namespace paddle