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88 lines
3.0 KiB
88 lines
3.0 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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#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
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#include <nccl.h>
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#endif
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#include <stdint.h>
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#include <ostream>
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#include <string>
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#include "paddle/fluid/framework/executor.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/threadpool.h"
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#include "paddle/fluid/operators/distributed/distributed.h"
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#include "paddle/fluid/operators/distributed/request_handler_impl.h"
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#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
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#include "paddle/fluid/platform/collective_helper.h"
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#include "paddle/fluid/platform/nccl_helper.h"
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#endif
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namespace paddle {
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namespace operators {
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class CCommInitOp : public framework::OperatorBase {
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public:
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CCommInitOp(const std::string& type, const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorBase(type, inputs, outputs, attrs) {}
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void RunImpl(const framework::Scope& scope,
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const platform::Place& place) const override {
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PADDLE_ENFORCE(is_gpu_place(place),
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"CCommInitOp can run on gpu place only.");
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auto var = scope.FindVar(Input("X"));
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PADDLE_ENFORCE_NOT_NULL(var);
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#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
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ncclUniqueId* nccl_id = var->GetMutable<ncclUniqueId>();
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int nranks = Attr<int>("nranks");
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int rank_id = Attr<int>("rank");
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int rid = Attr<int>("ring_id");
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platform::NCCLCommContext::Instance().CreateNCCLComm(
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nccl_id, nranks, rank_id, boost::get<platform::CUDAPlace>(place).device,
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rid);
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#else
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PADDLE_THROW("PaddlePaddle should compile with GPU.");
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#endif
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}
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};
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class CCommInitOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "Raw variable contains a NCCL UniqueId instaces.");
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AddComment(R"DOC(
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CCommInit operator
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Initialize collective communicatoin context within this trainer
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)DOC");
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AddAttr<int>("nranks", "(int) The number of ranks of distributed trainers");
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AddAttr<int>("rank",
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"(int) The rank of the trainer in distributed training.");
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AddAttr<int>("ring_id", "(int default 0) user specified ring id")
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.SetDefault(0);
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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(c_comm_init, ops::CCommInitOp, ops::CCommInitOpMaker);
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