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86 lines
3.0 KiB
86 lines
3.0 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/framework/data_type.h"
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#include "paddle/fluid/framework/framework.pb.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/operators/distributed/distributed.h"
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#include "paddle/fluid/platform/profiler.h"
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namespace paddle {
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namespace operators {
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class FetchBarrierOp : public framework::OperatorBase {
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public:
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FetchBarrierOp(const std::string& type,
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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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std::vector<std::string> eps = Attr<std::vector<std::string>>("endpoints");
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distributed::RPCClient* rpc_client =
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distributed::RPCClient::GetInstance<RPCCLIENT_T>(
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Attr<int>("trainer_id"));
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PADDLE_ENFORCE(rpc_client->Wait(), "internal error in RPCClient");
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for (auto& ep : eps) {
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VLOG(3) << "fetch barrier, ep: " << ep;
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rpc_client->AsyncSendFetchBarrier(ep);
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}
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PADDLE_ENFORCE(rpc_client->Wait(), "internal error in RPCClient");
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}
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};
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class FetchBarrierOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() {
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AddOutput("Out", "(Any) Dummy outputs, used for control dependency")
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.AsDuplicable();
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AddComment(R"DOC(
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SendBarrier operator
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This operator will send a send barrier signal to list_and_serv op, so that
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the Parameter Server would knew all variables have been sent.
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)DOC");
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AddAttr<int>("trainer_id", "trainer id from 0 ~ worker_num.").SetDefault(0);
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AddAttr<std::vector<std::string>>("endpoints",
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"(string vector, default 127.0.0.1:6164)"
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"Server endpoints to send variables to.")
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.SetDefault({"127.0.0.1:6164"});
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}
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};
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class FetchBarrierOpShapeInference : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext* ctx) const override {}
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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(fetch_barrier, ops::FetchBarrierOp,
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paddle::framework::EmptyGradOpMaker, ops::FetchBarrierOpMaker,
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ops::FetchBarrierOpShapeInference);
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