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59 lines
2.1 KiB
59 lines
2.1 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/operators/math/math_function.h"
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#include "paddle/operators/type_alias.h"
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namespace paddle {
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namespace operators {
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template <typename Place, typename T>
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class MulKernel : public OpKernel {
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public:
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void Compute(const ExecutionContext& context) const override {
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auto input0 = context.Input<Tensor>("X");
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auto input1 = context.Input<Tensor>("Y");
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auto output = context.Output<Tensor>(0);
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output->mutable_data<T>(context.GetPlace());
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auto out_dim = output->dims();
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auto in0_dim = input0->dims();
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int M = out_dim[0];
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int N = out_dim[1];
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int K = in0_dim[1];
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paddle::operators::math::template gemm<Place, T>(CblasNoTrans,
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CblasNoTrans,
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M,
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N,
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K,
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1,
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input0->data<T>(),
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K,
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input1->data<T>(),
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N,
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0,
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output->data<T>(),
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N,
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&context.device_context());
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}
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};
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} // namespace operators
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} // namespace paddle
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