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95 lines
3.6 KiB
95 lines
3.6 KiB
/* Copyright (c) 2018 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/elementwise_pow_op.h"
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#include <string>
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#include "paddle/fluid/operators/elementwise/elementwise_op.h"
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namespace paddle {
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namespace framework {
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class OpDesc;
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} // namespace framework
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namespace imperative {
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class OpBase;
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} // namespace imperative
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namespace platform {
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class CPUDeviceContext;
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struct CPUPlace;
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} // namespace platform
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} // namespace paddle
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namespace paddle {
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namespace operators {
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template <typename T>
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class ElementwisePowOpGradMaker : public framework::SingleGradOpMaker<T> {
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public:
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using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
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protected:
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void Apply(GradOpPtr<T> op) const override {
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op->SetType("elementwise_pow_grad");
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op->SetInput("X", this->Input("X"));
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op->SetInput("Y", this->Input("Y"));
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op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out"));
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op->SetAttrMap(this->Attrs());
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op->SetOutput(framework::GradVarName("X"), this->InputGrad("X"));
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op->SetOutput(framework::GradVarName("Y"), this->InputGrad("Y"));
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}
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};
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class ElementwisePowOpMaker : public ElementwiseOpMaker {
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protected:
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std::string GetName() const override { return "Pow"; }
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std::string GetEquation() const override { return "Out = X ^ Y"; }
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void AddInputX() override { AddInput("X", "(Variable), The Base."); }
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void AddInputY() override { AddInput("Y", "(Variable), The exponents."); }
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std::string GetOpFuntionality() const override {
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return "First tensor elements raised to powers from the second tensor, "
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"element-wise.";
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}
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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_pow, ops::ElementwiseOp,
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ops::ElementwisePowOpMaker, ops::ElementwiseOpInferVarType,
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ops::ElementwisePowOpGradMaker<paddle::framework::OpDesc>,
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ops::ElementwisePowOpGradMaker<paddle::imperative::OpBase>);
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REGISTER_OPERATOR(elementwise_pow_grad, ops::ElementwiseOpGrad);
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REGISTER_OP_CPU_KERNEL(
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elementwise_pow,
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ops::ElementwisePowKernel<paddle::platform::CPUDeviceContext, float>,
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ops::ElementwisePowKernel<paddle::platform::CPUDeviceContext, double>,
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ops::ElementwisePowKernel<paddle::platform::CPUDeviceContext, int>,
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ops::ElementwisePowKernel<paddle::platform::CPUDeviceContext, int64_t>);
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REGISTER_OP_CPU_KERNEL(
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elementwise_pow_grad,
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ops::ElementwisePowGradKernel<paddle::platform::CPUDeviceContext, float>,
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ops::ElementwisePowGradKernel<paddle::platform::CPUDeviceContext, double>,
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ops::ElementwisePowGradKernel<paddle::platform::CPUDeviceContext, int>,
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ops::ElementwisePowGradKernel<paddle::platform::CPUDeviceContext, int64_t>);
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REGISTER_OP_VERSION(elementwise_pow)
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.AddCheckpoint(
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R"ROC(Register elementwise_pow for adding the attribute of Scale_y)ROC",
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paddle::framework::compatible::OpVersionDesc().NewAttr(
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"Scale_y",
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"In order to support the function of scaling the input Y when "
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"using the operator of elementwise_pow.",
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1.0f));
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