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75 lines
2.8 KiB
75 lines
2.8 KiB
// 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/operators/reduce_ops/reduce_sum_op.h"
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#include <memory>
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#include <string>
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namespace paddle {
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namespace operators {
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// NOTE: Input(Out) is unnecessary in reduce_sum_grad, and Input(X) needs no
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// buffer
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class ReduceSumOpGradDescMaker : public framework::SingleGradOpDescMaker {
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public:
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using framework::SingleGradOpDescMaker::SingleGradOpDescMaker;
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protected:
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std::unique_ptr<framework::OpDesc> Apply() const override {
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std::unique_ptr<framework::OpDesc> op(new framework::OpDesc());
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op->SetType("reduce_sum_grad");
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op->SetInput("X", Input("X"));
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op->SetInput(framework::GradVarName("Out"), OutputGrad("Out"));
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op->SetAttrMap(Attrs());
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op->SetOutput(framework::GradVarName("X"), InputGrad("X"));
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return op;
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}
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};
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DECLARE_NO_NEED_BUFFER_VARS_INFERENCE(ReduceSumGradNoNeedBufferVarInference,
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"X");
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} // namespace operators
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} // namespace paddle
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class ReduceSumOpMaker : public ops::ReduceOpMaker {
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protected:
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virtual std::string GetName() const { return "reduce_sum"; }
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virtual std::string GetOpType() const { return "Reduce reduce_sum"; }
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};
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REGISTER_OPERATOR(reduce_sum, ops::ReduceOp, ReduceSumOpMaker,
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ops::ReduceSumOpGradDescMaker);
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REGISTER_OPERATOR(reduce_sum_grad, ops::ReduceGradOp,
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ops::ReduceSumGradNoNeedBufferVarInference);
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REGISTER_OP_CPU_KERNEL(
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reduce_sum, ops::ReduceKernel<paddle::platform::CPUDeviceContext, float,
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ops::SumFunctor>,
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ops::ReduceKernel<paddle::platform::CPUDeviceContext, double,
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ops::SumFunctor>,
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ops::ReduceKernel<paddle::platform::CPUDeviceContext, int, ops::SumFunctor>,
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ops::ReduceKernel<paddle::platform::CPUDeviceContext, int64_t,
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ops::SumFunctor>);
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template <typename T>
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using CPUReduceSumGradKernel =
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ops::ReduceSumGradKernel<paddle::platform::CPUDeviceContext, T,
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ops::SumGradFunctor, true>;
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REGISTER_OP_CPU_KERNEL(reduce_sum_grad, CPUReduceSumGradKernel<float>,
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CPUReduceSumGradKernel<double>,
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CPUReduceSumGradKernel<int>,
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CPUReduceSumGradKernel<int64_t>);
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