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83 lines
2.9 KiB
83 lines
2.9 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/scale_op.h"
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#include "paddle/operators/net_op.h"
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namespace paddle {
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namespace operators {
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class ScaleOp : public framework::OperatorWithKernel {
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public:
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ScaleOp(const std::string &type, 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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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("X"),
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"Input(X) of ScaleOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of ScaleOp should not be null.");
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ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
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ctx->ShareLoD("X", /*->*/ "Out");
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}
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};
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template <typename AttrType>
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class ScaleOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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ScaleOpMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "(Tensor) Input tensor of scale operator.");
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AddOutput("Out", "(Tensor) Output tensor of scale operator.");
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AddComment(R"DOC(
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Scale operator
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$$Out = scale*X$$
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)DOC");
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AddAttr<AttrType>("scale",
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"(float, default 0)"
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"The scaling factor of the scale operator.")
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.SetDefault(1.0);
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}
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};
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class ScaleGradMaker : public framework::SingleGradOpDescMaker {
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public:
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using framework::SingleGradOpDescMaker::SingleGradOpDescMaker;
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std::unique_ptr<framework::OpDesc> Apply() const override {
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auto *grad_op = new framework::OpDesc();
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grad_op->SetType("scale");
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grad_op->SetInput("X", OutputGrad("Out"));
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grad_op->SetOutput("Out", InputGrad("X"));
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grad_op->SetAttr("scale", GetAttr("scale"));
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return std::unique_ptr<framework::OpDesc>(grad_op);
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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(scale, ops::ScaleOp, ops::ScaleOpMaker<float>,
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ops::ScaleGradMaker);
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REGISTER_OP_CPU_KERNEL(
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scale, ops::ScaleKernel<paddle::platform::CPUDeviceContext, float>,
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ops::ScaleKernel<paddle::platform::CPUDeviceContext, double>,
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ops::ScaleKernel<paddle::platform::CPUDeviceContext, int>,
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ops::ScaleKernel<paddle::platform::CPUDeviceContext, int64_t>);
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