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97 lines
2.9 KiB
97 lines
2.9 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 "paddle/math/MathFunctions.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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class GemmFunctor {
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public:
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void operator()(const CBLAS_TRANSPOSE transA,
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const CBLAS_TRANSPOSE 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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template <class T>
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class GemmFunctor<DEVICE_TYPE_CPU, T> {
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public:
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void operator()(const CBLAS_TRANSPOSE transA,
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const CBLAS_TRANSPOSE 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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gemm<T>(transA, TransB, M, N, K, alpha, A, lda, B, ldb, beta, C, ldc);
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}
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};
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template <class T>
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class GemmFunctor<DEVICE_TYPE_GPU, T> {
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public:
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void operator()(const CBLAS_TRANSPOSE transA,
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const CBLAS_TRANSPOSE 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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hl_matrix_mul((T*)A,
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transA == CblasNoTrans ? HPPL_OP_N : HPPL_OP_T,
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(T*)B,
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TransB == CblasNoTrans ? HPPL_OP_N : HPPL_OP_T,
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C,
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M,
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N,
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K,
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alpha,
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beta,
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lda,
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ldb,
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ldc);
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}
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};
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} // namespace paddle
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