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187 lines
4.6 KiB
187 lines
4.6 KiB
// 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 <gflags/gflags.h>
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#include <chrono> // NOLINT
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#include <deque>
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#include <functional>
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#include <future> // NOLINT
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <unordered_set>
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#include <utility>
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#include <vector>
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#include <thread> // NOLINT
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#include <ThreadPool.h>
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#include "paddle/fluid/operators/distributed/rpc_server.h"
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace operators {
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namespace distributed {
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enum BarrierType { kSendBarrier, kRecvBarrier };
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constexpr int64_t kMaxWaitMS = 120000;
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template <typename T>
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class BlockingQueueForBarrier {
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public:
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explicit BlockingQueueForBarrier(size_t capacity) : capacity_(capacity) {
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PADDLE_ENFORCE_GT(capacity_, 0,
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platform::errors::InvalidArgument(
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"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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worker_cv_.wait(lock, [&] { return queue_.size() < capacity_; });
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queue_.push_back(elem);
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}
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worker_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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worker_cv_.wait(lock, [&] { return queue_.size() < capacity_; });
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queue_.emplace_back(std::move(elem));
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}
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worker_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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worker_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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worker_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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void Clear() {
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std::lock_guard<std::mutex> lock(mutex_);
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std::deque<T>().swap(queue_);
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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 worker_cv_;
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};
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class BarrierMonitor {
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public:
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explicit BarrierMonitor(int workers)
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: BarrierMonitor(workers, BarrierType::kRecvBarrier, kMaxWaitMS) {}
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explicit BarrierMonitor(int workers, BarrierType type, int64_t max_wait_times)
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: workers_(workers), barrier_type(type), max_wait_ms(max_wait_times) {
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PADDLE_ENFORCE_GT(workers, 0, platform::errors::InvalidArgument(
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"trainers must have one or more"));
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send_barrier_queue =
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std::make_shared<BlockingQueueForBarrier<int>>(workers);
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recv_barrier_queue =
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std::make_shared<BlockingQueueForBarrier<int>>(workers);
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running_ = true;
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monitor_thread_.reset(
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new std::thread(std::bind(&BarrierMonitor::Monitor, this)));
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}
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static BarrierMonitor *Init(int workers) {
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InitImpl(workers);
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return GetInstance();
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}
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static BarrierMonitor *GetInstance() { return monitor_.get(); }
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bool IncreaseBarrier(const int worker_id, const std::string &barrier);
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void DecreaseWorker();
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int GetWorkerNum() { return workers_; }
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void Monitor();
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void Swap(bool is_valid);
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void Stop();
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bool IsReady();
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bool Wait();
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void WaitServerWeakup();
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void ServerWeakup();
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void WorkerWeakup();
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void Reset(int workers, BarrierType type);
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private:
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// Init is called by GetInstance.
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static void InitImpl(int workers) {
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monitor_.reset(new BarrierMonitor(workers));
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}
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static std::once_flag init_flag_;
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static std::unique_ptr<BarrierMonitor> monitor_;
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int workers_;
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bool running_ = false;
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bool valid_ = false;
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bool release_ = false;
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std::condition_variable worker_cv_;
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std::condition_variable server_cv_;
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std::mutex server_mutex_;
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std::mutex mutex_;
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BarrierType barrier_type;
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int64_t max_wait_ms;
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std::unique_ptr<std::thread> monitor_thread_{nullptr};
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std::shared_ptr<BlockingQueueForBarrier<int>> send_barrier_queue;
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std::shared_ptr<BlockingQueueForBarrier<int>> recv_barrier_queue;
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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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