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87 lines
3.2 KiB
87 lines
3.2 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/prelu_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 PReluOp : public framework::OperatorWithKernel {
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public:
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PReluOp(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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protected:
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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) should not be null");
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PADDLE_ENFORCE(ctx->HasInput("Alpha"), "Input(Alpha) should not be null");
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PADDLE_ENFORCE(product(ctx->GetInputDim("Alpha")) == 1,
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"Size of weight Alpha must be one.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) 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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class PReluOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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PReluOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "The input tensor of prelu operator.");
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AddInput("Alpha", "The alpha weight of PRelu operator.");
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AddOutput("Out", "The output tensor of PRelu operator.");
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AddComment(R"DOC(PRelu operator
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The equation is:
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f(x) = alpha * x , for x < 0
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f(x) = x , for x >= 0
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The input `X` can carry the LoD (Level of Details) information,
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or not. And the output shares the LoD with input `X`.
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)DOC");
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}
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};
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// The operator to calculate gradients of a prelu operator.
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class PReluGradOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) must not be null.");
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PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")),
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"Input(Out@GRAD) should not be null");
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ctx->SetOutputDim(framework::GradVarName("X"), ctx->GetInputDim("X"));
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ctx->SetOutputDim(framework::GradVarName("Alpha"),
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ctx->GetInputDim("Alpha"));
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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_OP(prelu, ops::PReluOp, ops::PReluOpMaker, prelu_grad,
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ops::PReluGradOp);
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REGISTER_OP_CPU_KERNEL(prelu,
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ops::PReluKernel<paddle::platform::CPUPlace, float>);
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REGISTER_OP_CPU_KERNEL(prelu_grad,
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ops::PReluGradKernel<paddle::platform::CPUPlace, float>);
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