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105 lines
3.5 KiB
105 lines
3.5 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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#include "paddle/operators/math/math_function.h"
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namespace paddle {
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namespace operators {
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namespace math {
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template <>
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void gemm<platform::GPUPlace, float>(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 float alpha,
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const float* A,
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const int lda,
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const float* B,
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const int ldb,
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const float beta,
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float* C,
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const int ldc,
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platform::DeviceContext* context) {
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// Note that cublas follows fortran order, so the order is different from
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// the cblas convention.
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cublasOperation_t cuTransA =
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(transA == CblasNoTrans) ? CUBLAS_OP_N : CUBLAS_OP_T;
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cublasOperation_t cuTransB =
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(transB == CblasNoTrans) ? CUBLAS_OP_N : CUBLAS_OP_T;
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PADDLE_ENFORCE(platform::dynload::cublasSgemm(
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reinterpret_cast<platform::CUDADeviceContext*>(context)->
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cublas_handle(),
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cuTransB,
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cuTransA,
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N,
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M,
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K,
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&alpha,
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B,
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ldb,
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A,
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lda,
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&beta,
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C,
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ldc));
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}
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template <>
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void gemm<platform::GPUPlace, double>(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 double alpha,
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const double* A,
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const int lda,
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const double* B,
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const int ldb,
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const double beta,
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double* C,
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const int ldc,
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platform::DeviceContext* context) {
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// Note that cublas follows fortran order, so the order is different from
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// the cblas convention.
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cublasOperation_t cuTransA =
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(transA == CblasNoTrans) ? CUBLAS_OP_N : CUBLAS_OP_T;
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cublasOperation_t cuTransB =
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(transB == CblasNoTrans) ? CUBLAS_OP_N : CUBLAS_OP_T;
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PADDLE_ENFORCE(platform::dynload::cublasDgemm(
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reinterpret_cast<platform::CUDADeviceContext*>(context)->
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cublas_handle(),
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cuTransB,
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cuTransA,
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N,
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M,
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K,
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&alpha,
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B,
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ldb,
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A,
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lda,
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&beta,
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C,
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ldc));
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}
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} // namespace math
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} // namespace operators
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} // namespace paddle
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