gen_nccl_id_op.cc 4.3 KB
Newer Older
T
typhoonzero 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */

#include <nccl.h>
#include <stdint.h>
#include <ostream>
#include <string>

#include "paddle/fluid/framework/executor.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/threadpool.h"
#include "paddle/fluid/operators/detail/grpc_client.h"
#include "paddle/fluid/operators/detail/grpc_server.h"

namespace paddle {
namespace operators {

class GenNCCLIdOp : public framework::OperatorBase {
 public:
  GenNCCLIdOp(const std::string& type, const framework::VariableNameMap& inputs,
              const framework::VariableNameMap& outputs,
              const framework::AttributeMap& attrs)
      : OperatorBase(type, inputs, outputs, attrs) {}

  void RunImpl(const framework::Scope& scope,
               const platform::Place& dev_place) const override {
    platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
    auto& dev_ctx = *pool.Get(dev_place);
    int trainer_id = Attr<int>("trainer_id");
    framework::Scope& local_scope = scope.NewScope();

    if (trainer_id == 0) {
      GenerateAndSend(&local_scope, dev_ctx);
    } else {
      GetIdByServer(&local_scope, dev_ctx);
    }
  }

 private:
  void GenerateAndSend(framework::Scope* scope,
                       const platform::DeviceContext& dev_ctx) const {
    auto var = scope->FindVar("NCCLID");
    PADDLE_ENFORCE_NOT_NULL(var);
    auto id = var->GetMutable<ncclUniqueId>();
T
typhoonzero 已提交
57
    platform::dynload::ncclGetUniqueId(id);
T
typhoonzero 已提交
58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94

    std::vector<std::string> endpoint_list =
        Attr<std::vector<std::string>>("endpoint_list");
    detail::RPCClient client;
    for (auto& ep : endpoint_list) {
      client.AsyncSendVariable(ep, dev_ctx, *scope, "NCCLID");
    }
    client.Wait();
  }

  void GetIdByServer(framework::Scope* scope,
                     const platform::DeviceContext& dev_ctx) const {
    std::string endpoint = Attr<std::string>("endpoint");
    rpc_service_.reset(new detail::AsyncGRPCServer(endpoint, true));
    framework::ProgramDesc empty_program;
    framework::Executor executor(dev_ctx.GetPlace());
    rpc_service_->SetScope(scope);
    rpc_service_->SetDevCtx(&dev_ctx);
    rpc_service_->SetProgram(&empty_program);
    rpc_service_->SetExecutor(&executor);

    server_thread_.reset(new std::thread(std::bind(
        &detail::AsyncGRPCServer::RunSyncUpdate, rpc_service_.get())));

    auto recv = rpc_service_->Get();
    rpc_service_->ShutDown();
    // TODO(wuyi): reinit nccl communicators
  }

 protected:
  mutable std::shared_ptr<detail::AsyncGRPCServer> rpc_service_;
  mutable std::shared_ptr<std::thread> server_thread_;
};

class GenNCCLIdOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
  GenNCCLIdOpMaker(OpProto* proto, OpAttrChecker* op_checker)
T
typhoonzero 已提交
95
      : OpProtoAndCheckerMaker(proto, op_checker) {
T
typhoonzero 已提交
96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122
    AddOutput("NCCLID", "Raw variable contains a NCCL UniqueId instaces.");
    AddComment(R"DOC(
GenNCCLId operator

For trainer 0: generate a new UniqueId and send it to all the other trainers.
For trainer 1~n: start a gRPC server to get the UniqueId, once got, stop the server.
)DOC");
    AddAttr<std::string>("endpoint",
                         "(string), e.g. 127.0.0.1:6175 "
                         "current listen endpoint");
    AddAttr<std::vector<std::string>>(
        "endpoint_list",
        "['trainer1_ip:port', 'trainer2_ip:port', ...] "
        "list of trainer endpoints start from trainer 1")
        .SetDefault({});
    AddAttr<int>("trainer_id",
                 "(int default 0) "
                 "The index of the trainer in distributed training.")
        .SetDefault(0);
  }
};

}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;

T
typhoonzero 已提交
123
REGISTER_OPERATOR(gen_nccl_id, ops::GenNCCLIdOp, ops::GenNCCLIdOpMaker);