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58 lines
2.2 KiB
58 lines
2.2 KiB
/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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/fluid/operators/batch_norm_op.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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class SyncBatchNormGradMaker : public framework::SingleGradOpMaker<T> {
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public:
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using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
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protected:
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void Apply(GradOpPtr<T> op) const override {
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op->SetType(this->ForwardOpType() + "_grad");
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op->SetInput("X", this->Input("X"));
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op->SetInput(framework::GradVarName("Y"), this->OutputGrad("Y"));
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op->SetInput("Scale", this->Input("Scale"));
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op->SetInput("Bias", this->Input("Bias"));
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op->SetInput("SavedMean", this->Output("SavedMean"));
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op->SetInput("SavedVariance", this->Output("SavedVariance"));
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// used when setting use_global_stats True during training
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if (BOOST_GET_CONST(bool, this->GetAttr("use_global_stats"))) {
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op->SetInput("Mean", this->Output("MeanOut"));
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op->SetInput("Variance", this->Output("VarianceOut"));
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}
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op->SetAttrMap(this->Attrs());
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op->SetOutput(framework::GradVarName("X"), this->InputGrad("X"));
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op->SetOutput(framework::GradVarName("Scale"), this->InputGrad("Scale"));
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op->SetOutput(framework::GradVarName("Bias"), this->InputGrad("Bias"));
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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(sync_batch_norm, ops::BatchNormOp, ops::BatchNormOpMaker,
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ops::BatchNormOpInferVarType,
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ops::SyncBatchNormGradMaker<paddle::framework::OpDesc>,
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ops::SyncBatchNormGradMaker<paddle::imperative::OpBase>);
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REGISTER_OPERATOR(sync_batch_norm_grad, ops::BatchNormGradOp);
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