wehub-resource-sync
98 lines
3.2 KiB
C++
98 lines
3.2 KiB
C++
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/framework/infershape_utils.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/phi/core/infermeta_utils.h"
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#include "paddle/phi/infermeta/unary.h"
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namespace paddle {
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namespace framework {
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class InferShapeContext;
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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 paddle
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namespace paddle {
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namespace operators {
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class IncrementOp : public framework::OperatorWithKernel {
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public:
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IncrementOp(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: OperatorWithKernel(type, inputs, outputs, attrs) {}
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protected:
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phi::KernelKey GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override {
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phi::KernelKey kt = OperatorWithKernel::GetExpectedKernelType(ctx);
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// IncrementOp kernel's device type is decided by input tensor place
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kt.set_backend(
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phi::TransToPhiBackend(ctx.Input<DenseTensor>("X")->place()));
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return kt;
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}
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};
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class IncrementOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "(Tensor) The input tensor of increment operator");
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AddOutput("Out", "(Tensor) The output tensor of increment operator.");
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AddAttr<float>("step",
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"(float, default 1.0) "
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"The step size by which the "
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"input tensor will be incremented.")
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.SetDefault(1.0);
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AddComment(R"DOC(
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Increment Operator.
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The equation is:
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$$Out = X + step$$
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)DOC");
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}
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};
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template <typename T>
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class IncrementGradOpMaker : public framework::SingleGradOpMaker<T> {
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public:
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using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
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void Apply(GradOpPtr<T> grad_op) const override {
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grad_op->SetType("increment");
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grad_op->SetInput("X", this->Output("Out"));
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grad_op->SetOutput("Out", this->Input("X"));
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grad_op->SetAttr("step", -PADDLE_GET_CONST(float, this->GetAttr("step")));
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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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DECLARE_INFER_SHAPE_FUNCTOR(increment,
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IncrementInferShapeFunctor,
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PD_INFER_META(phi::IncrementInferMeta));
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REGISTER_OPERATOR(increment,
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ops::IncrementOp,
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ops::IncrementOpMaker,
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ops::IncrementGradOpMaker<paddle::framework::OpDesc>,
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ops::IncrementGradOpMaker<paddle::imperative::OpBase>,
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IncrementInferShapeFunctor);
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