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69 lines
2.2 KiB
69 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/collective/c_allreduce_op.h"
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namespace paddle {
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namespace framework {
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class OpDesc;
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} // namespace framework
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namespace imperative {
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class OpBase;
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} // namespace imperative
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namespace platform {
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struct CPUPlace;
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struct float16;
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} // namespace platform
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} // namespace paddle
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namespace paddle {
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namespace operators {
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template <typename T>
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class CAllReduceSumOpGradMaker : 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> retv) const override {
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retv->SetType("c_allreduce_sum");
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retv->SetInput("X", this->OutputGrad("Out"));
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retv->SetOutput("Out", this->InputGrad("X"));
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retv->SetAttrMap(this->Attrs());
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}
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};
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class CAllReduceSumOpMaker : public CAllReduceOpMaker {
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protected:
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std::string GetName() const override { return "Sum"; }
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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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namespace plat = paddle::platform;
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REGISTER_OPERATOR(c_allreduce_sum, ops::CAllReduceOp,
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ops::CAllReduceSumOpGradMaker<paddle::framework::OpDesc>,
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ops::CAllReduceSumOpGradMaker<paddle::imperative::OpBase>,
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ops::CAllReduceSumOpMaker);
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REGISTER_OP_CPU_KERNEL(c_allreduce_sum,
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ops::CAllReduceOpCPUKernel<ops::kRedSum, float>,
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ops::CAllReduceOpCPUKernel<ops::kRedSum, double>,
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ops::CAllReduceOpCPUKernel<ops::kRedSum, int>,
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ops::CAllReduceOpCPUKernel<ops::kRedSum, int64_t>,
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ops::CAllReduceOpCPUKernel<ops::kRedSum, plat::float16>)
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