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71 lines
2.4 KiB
71 lines
2.4 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/add_op.h"
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namespace paddle {
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namespace operators {
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class AddOp : 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(const framework::InferShapeContext &ctx) const override {
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PADDLE_ENFORCE_NOT_NULL(ctx.InputVar("X"),
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"Input(X) of AddOp should not be null.");
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PADDLE_ENFORCE_NOT_NULL(ctx.InputVar("Y"),
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"Input(Y) of AddOp should not be null.");
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PADDLE_ENFORCE_NOT_NULL(ctx.OutputVar("Out"),
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"Output(Out) of AddOp should not be null.");
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PADDLE_ENFORCE_EQ(ctx.Input<Tensor>("X")->dims(),
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ctx.Input<Tensor>("Y")->dims(),
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"Two input of Add Op's dimension must be same.");
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ctx.Output<framework::LoDTensor>("Out")->Resize(
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ctx.Input<Tensor>("X")->dims());
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}
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};
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class AddOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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AddOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "The first input of add op");
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AddInput("Y", "The second input of add op");
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AddOutput("Out", "The output of add op");
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AddComment(R"DOC(
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Two Element Add Operator.
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The equation is: Out = X + Y
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)DOC");
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}
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};
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class AddOpGrad : 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(const framework::InferShapeContext &ctx) const override {}
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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(add, ops::AddOp, ops::AddOpMaker, add_grad, ops::AddOpGrad);
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REGISTER_OP_CPU_KERNEL(add, ops::AddKernel<paddle::platform::CPUPlace, float>);
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