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67 lines
2.6 KiB
67 lines
2.6 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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/fluid/operators/elementwise_mul_op.h"
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#include <string>
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#include "paddle/fluid/operators/elementwise_op.h"
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namespace paddle {
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namespace operators {
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class ElementwiseMulOpGradDescMaker : public framework::SingleGradOpDescMaker {
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public:
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using framework::SingleGradOpDescMaker::SingleGradOpDescMaker;
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protected:
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std::unique_ptr<framework::OpDesc> Apply() const override {
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std::unique_ptr<framework::OpDesc> op(new framework::OpDesc());
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op->SetType("elementwise_mul_grad");
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op->SetInput("X", Input("X"));
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op->SetInput("Y", Input("Y"));
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op->SetInput(framework::GradVarName("Out"), OutputGrad("Out"));
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op->SetAttrMap(Attrs());
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op->SetOutput(framework::GradVarName("X"), InputGrad("X"));
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op->SetOutput(framework::GradVarName("Y"), InputGrad("Y"));
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return op;
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}
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};
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class ElementwiseMulOpMaker : public ElementwiseOpMaker {
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protected:
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virtual std::string GetName() const { return "Mul"; }
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virtual std::string GetEquation() const { return "Out = X \\\\odot Y"; }
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(elementwise_mul, ops::ElementwiseOp,
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ops::ElementwiseMulOpMaker, ops::ElementwiseOpInferVarType,
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ops::ElementwiseMulOpGradDescMaker);
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REGISTER_OPERATOR(elementwise_mul_grad, ops::ElementwiseOpGrad);
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REGISTER_OP_CPU_KERNEL(
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elementwise_mul,
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ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, float>,
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ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, double>,
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ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, int>,
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ops::ElementwiseMulKernel<paddle::platform::CPUDeviceContext, int64_t>);
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REGISTER_OP_CPU_KERNEL(
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elementwise_mul_grad,
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ops::ElementwiseMulGradKernel<paddle::platform::CPUDeviceContext, float>,
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ops::ElementwiseMulGradKernel<paddle::platform::CPUDeviceContext, double>,
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ops::ElementwiseMulGradKernel<paddle::platform::CPUDeviceContext, int>,
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ops::ElementwiseMulGradKernel<paddle::platform::CPUDeviceContext, int64_t>);
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