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66 lines
2.3 KiB
66 lines
2.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "TensorType.h"
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namespace paddle {
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// TODO(hedaoyuan): Since the hl_matrix_mul interface does not conform to the
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// cblas_dgemm interface's parameter format, it is necessary to introduce
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// GemmFunctor as a new interface. Later, when considering the implementation
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// of MatMulFunction, we need to consider the reconstruction of hl_matrix_mul
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// interface.
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template <DeviceType Device, class T>
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struct BlasGemm {
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static void compute(const bool transA,
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const bool transB,
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const int M,
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const int N,
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const int K,
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const T alpha,
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const T* A,
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const int lda,
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const T* B,
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const int ldb,
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const T beta,
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T* C,
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const int ldc);
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};
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// TODO(hedaoyuan): Since the definition of the real type in the Paddle
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// conflicts with the Eigen library, so compile the Eigen code can not
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// include the Paddle header file. And need an EigenBlasGemm template class
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// that does not contain the DeviceType parameter.
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// I will fix this problem and merge BlasGemm and EigenBlasGemm into one.
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template <class T>
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struct EigenBlasGemm {
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static void compute(const bool transA,
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const bool transB,
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const int M,
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const int N,
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const int K,
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const T alpha,
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const T* A,
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const int lda,
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const T* B,
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const int ldb,
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const T beta,
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T* C,
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const int ldc);
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};
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} // namespace paddle
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