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81 lines
2.5 KiB
81 lines
2.5 KiB
/* Copyright (c) 2016 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 <future> // NOLINT
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#include <ostream>
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#include "paddle/fluid/operators/distributed_ops/allreduce_op.h"
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namespace paddle {
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namespace operators {
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class AllReduceOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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return framework::OpKernelType(ctx.Input<framework::Tensor>("X")->type(),
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ctx.GetPlace());
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}
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};
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class AllReduceOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() {
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AddInput("X", "(Tensor), tensor to be allreduced.");
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AddOutput("Out", "(Tensor) the result of allreduced.");
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AddAttr<int>("reduce_type", "(int) determin the reduce type.")
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.SetDefault(0);
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AddAttr<bool>(
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"sync_mode",
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"(bool) whether to synchronize the CUDA stream after nccl call.")
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.SetDefault(false);
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AddComment(R"DOC(
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***AllReduce Operator***
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Call NCCL AllReduce internally. Note that this op must be used when one
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thread is managing one GPU device.
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For speed reasons, reduce_type should be an integer:
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0: sum
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1: prod
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2: max
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3: min
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If input and output are the same variable, in-place allreduce will be used.
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)DOC");
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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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namespace plat = paddle::platform;
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REGISTER_OP_WITHOUT_GRADIENT(allreduce, ops::AllReduceOp,
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ops::AllReduceOpMaker);
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REGISTER_OP_CPU_KERNEL(
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allreduce, ops::AllReduceOpKernel<plat::CPUDeviceContext, float>,
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ops::AllReduceOpKernel<plat::CPUDeviceContext, double>,
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ops::AllReduceOpKernel<plat::CPUDeviceContext, int>,
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ops::AllReduceOpKernel<plat::CPUDeviceContext, int64_t>,
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ops::AllReduceOpKernel<plat::CPUDeviceContext, plat::float16>);
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