revert-11610-move_hooks
Yancey1989
7 years ago
commit
15913d92c5
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#!/bin/bash
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PADDLE_TRAINING_ROLE=PSERVER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model resnet --device CPU --update_method pserver --iterations=10000 &
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sleep 15
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CUDA_VISIBLE_DEVICES=0,1 PADDLE_TRAINING_ROLE=TRAINER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=0 python fluid_benchmark.py --model resnet --device GPU --update_method pserver --iterations=10000 --gpus 2 &
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CUDA_VISIBLE_DEVICES=2,3 PADDLE_TRAINING_ROLE=TRAINER PADDLE_PSERVER_PORT=7164 PADDLE_PSERVER_IPS=127.0.0.1 PADDLE_TRAINERS=2 PADDLE_CURRENT_IP=127.0.0.1 PADDLE_TRAINER_ID=1 python fluid_benchmark.py --model resnet --device GPU --update_method pserver --iterations=10000 --gpus 2 &
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/detail/rpc_client.h"
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namespace paddle {
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namespace operators {
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namespace detail {
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std::once_flag RPCClient::init_flag_;
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std::unique_ptr<RPCClient> RPCClient::rpc_client_(nullptr);
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} // namespace detail
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} // namespace operators
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} // namespace paddle
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#pragma once
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#include <string>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/scope.h"
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namespace paddle {
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namespace operators {
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namespace detail {
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class RPCClient {
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public:
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virtual bool AsyncSendVar(const std::string& ep,
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const platform::DeviceContext& ctx,
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const framework::Scope& scope,
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const std::string& var_name,
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int64_t time_out = rpc_time_out) = 0;
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virtual bool AsyncGetVar(const std::string& ep,
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const platform::DeviceContext& ctx,
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const framework::Scope& scope,
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const std::string& var_name,
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int64_t time_out = rpc_time_out) = 0;
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virtual bool AsyncPrefetchVar(const std::string& ep,
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const platform::DeviceContext& ctx,
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const framework::Scope& scope,
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const std::string& in_var_name,
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const std::string& out_var_name,
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int64_t time_out = rpc_time_out) = 0;
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virtual void AsyncSendBatchBarrier(const std::string& ep,
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int64_t time_out = rpc_time_out) = 0;
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virtual void AsyncSendFetchBarrier(const std::string& ep,
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int64_t time_out = rpc_time_out) = 0;
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virtual void Wait() = 0;
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static constexpr int64_t rpc_time_out = 120 * 1000;
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template <typename T>
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static RPCClient* GetInstance() {
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std::call_once(init_flag_, &RPCClient::Init<T>);
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return rpc_client_.get();
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}
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// Init is called by GetInstance.
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template <typename T>
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static void Init() {
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if (rpc_client_.get() == nullptr) {
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rpc_client_.reset(new T());
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rpc_client_->InitImpl();
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}
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}
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protected:
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virtual void InitImpl() {}
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private:
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static std::once_flag init_flag_;
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static std::unique_ptr<RPCClient> rpc_client_;
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};
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} // namespace detail
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} // namespace operators
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} // namespace paddle
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