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66 lines
2.2 KiB
66 lines
2.2 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/add_op.h"
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namespace paddle {
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namespace operators {
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class AddOp : public OperatorWithKernel {
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protected:
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void InferShape(const std::vector<const Tensor *> &inputs,
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const std::vector<Tensor *> &outputs) const override {
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PADDLE_ENFORCE(inputs.size() == 2, "Input size of AddOp must be two");
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PADDLE_ENFORCE(outputs.size() == 1, "Output size of AddOp must be one");
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PADDLE_ENFORCE(
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inputs[0] != nullptr && inputs[1] != nullptr && outputs[0] != nullptr,
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"Inputs/Outputs of AddOp must all be set");
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PADDLE_ENFORCE(inputs[0]->dims() == inputs[1]->dims(),
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"Two input of Add Op's dimension must be same.");
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outputs[0]->Resize(inputs[0]->dims());
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}
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};
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class AddOpMaker : public OpProtoAndCheckerMaker {
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public:
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AddOpMaker(OpProto *proto, 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 OperatorWithKernel {
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protected:
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void InferShape(const std::vector<const Tensor *> &inputs,
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const std::vector<Tensor *> &outputs) const override {}
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std::string DebugString() const override {
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LOG(INFO) << "AddOpGrad";
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return "";
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}
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};
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} // namespace operators
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} // namespace paddle
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REGISTER_OP(add_two, ops::AddOp, ops::AddOpMaker);
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REGISTER_GRADIENT_OP(add_two, add_two_grad, ops::AddOpGrad);
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REGISTER_OP_CPU_KERNEL(add_two, ops::AddKernel<ops::CPUPlace, float>);
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