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155 lines
4.2 KiB
155 lines
4.2 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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#pragma once
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#include <deque>
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#include <memory>
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#include <string>
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#include <vector>
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#include <ThreadPool.h>
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/variable.h"
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#include "paddle/fluid/operators/distributed/rpc_common.h"
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#include "paddle/fluid/platform/device_context.h"
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#include "paddle/fluid/platform/enforce.h"
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#include "paddle/fluid/platform/place.h"
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namespace paddle {
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namespace operators {
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namespace distributed {
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using Scope = framework::Scope;
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using Variable = framework::Variable;
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template <typename T>
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class BlockingQueue {
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public:
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explicit BlockingQueue(size_t capacity) : capacity_(capacity) {
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PADDLE_ENFORCE_GT(capacity_, 0, "The capacity must be greater than 0.");
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}
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bool Push(const T& elem) {
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{
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std::unique_lock<std::mutex> lock(mutex_);
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cv_.wait(lock, [&] { return queue_.size() < capacity_; });
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PADDLE_ENFORCE_LT(queue_.size(), capacity_);
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queue_.push_back(elem);
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}
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cv_.notify_one();
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return true;
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}
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bool Push(T&& elem) {
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{
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std::unique_lock<std::mutex> lock(mutex_);
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cv_.wait(lock, [&] { return queue_.size() < capacity_; });
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PADDLE_ENFORCE_LT(queue_.size(), capacity_);
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queue_.emplace_back(std::move(elem));
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}
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cv_.notify_one();
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return true;
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}
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T Pop() {
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std::unique_lock<std::mutex> lock(mutex_);
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cv_.wait(lock, [=] { return !queue_.empty(); });
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T rc(std::move(queue_.front()));
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queue_.pop_front();
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cv_.notify_one();
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return rc;
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}
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size_t Cap() const {
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std::lock_guard<std::mutex> lock(mutex_);
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return capacity_;
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}
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size_t Size() const {
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std::lock_guard<std::mutex> lock(mutex_);
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return queue_.size();
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}
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private:
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const size_t capacity_;
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std::deque<T> queue_;
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mutable std::mutex mutex_;
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std::condition_variable cv_;
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};
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using RpcCtxMap = std::unordered_map<std::string, RpcContext>;
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class Communicator {
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public:
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Communicator(const RpcCtxMap& send_varname_to_ctx,
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const RpcCtxMap& recv_varname_to_ctx, Scope* recv_scope);
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~Communicator();
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void Start();
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// send grad
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void Send(const std::string& var_name, const framework::Scope& scope);
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private:
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// recv all parameter
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void RecvAll();
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void SendThread();
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void RecvThread();
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bool running_ = false;
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std::unordered_map<std::string,
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std::shared_ptr<BlockingQueue<std::shared_ptr<Variable>>>>
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send_varname_to_queue_;
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RpcCtxMap send_varname_to_ctx_;
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RpcCtxMap recv_varname_to_ctx_;
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std::unique_ptr<std::thread> send_thread_;
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std::unique_ptr<std::thread> recv_thread_;
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Scope* recv_scope_; // should be global scope
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std::unique_ptr<Scope> send_scope_; // an independent scope
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std::unique_ptr<::ThreadPool> send_threadpool_{nullptr};
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std::unique_ptr<::ThreadPool> recv_threadpool_{nullptr};
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// the following code is for initialize the commnunicator
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public:
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static void Init(const RpcCtxMap& send_varname_to_ctx,
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const RpcCtxMap& recv_varname_to_ctx, Scope* recv_scope) {
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InitImpl(send_varname_to_ctx, recv_varname_to_ctx, recv_scope);
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}
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static Communicator* GetInstance();
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private:
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// Init is called by GetInstance.
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static void InitImpl(const RpcCtxMap& send_varname_to_ctx,
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const RpcCtxMap& recv_varname_to_ctx,
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Scope* recv_scope) {
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if (communicator_ == nullptr) {
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communicator_.reset(new Communicator(send_varname_to_ctx,
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recv_varname_to_ctx, recv_scope));
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}
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}
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private:
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static std::once_flag init_flag_;
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static std::unique_ptr<Communicator> communicator_;
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};
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} // namespace distributed
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} // namespace operators
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} // namespace paddle
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