// Copyright (c) 2020 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. #pragma once #include #include #include #include #include #include #include "paddle/fluid/distributed/common/cost_timer.h" #include "paddle/fluid/distributed/ps/service/env.h" #include "paddle/fluid/distributed/ps/service/sendrecv.pb.h" #include "paddle/fluid/distributed/ps/table/accessor.h" #include "paddle/fluid/distributed/ps/table/graph/graph_node.h" #include "paddle/fluid/distributed/the_one_ps.pb.h" #include "paddle/fluid/platform/timer.h" namespace paddle { namespace distributed { using paddle::distributed::PsRequestMessage; using paddle::distributed::PsResponseMessage; typedef std::function PSClientCallBack; class PSClientClosure : public google::protobuf::Closure { public: explicit PSClientClosure(PSClientCallBack callback) : _callback(callback) {} virtual ~PSClientClosure() {} virtual void set_promise_value(int value) { for (auto &promise : _promises) { promise->set_value(value); } } void add_promise(std::shared_ptr> &promise) { // NOLINT _promises.push_back(promise); } void add_timer(std::shared_ptr &timer) { // NOLINT _timers.push_back(timer); } protected: PSClientCallBack _callback; std::vector> _timers; std::vector>> _promises; }; class PSClient { public: PSClient() {} virtual ~PSClient() {} PSClient(PSClient &&) = delete; PSClient(const PSClient &) = delete; virtual int32_t Configure( const PSParameter &config, const std::map> ®ions, PSEnvironment &_env, // NOLINT size_t client_id) final; virtual int32_t CreateClient2ClientConnection(int pserver_timeout_ms, int pserver_connect_timeout_ms, int max_retry) = 0; // 触发table数据退场 virtual std::future Shrink(uint32_t table_id, const std::string threshold) = 0; // 全量table进行数据load virtual std::future Load(const std::string &epoch, const std::string &mode) = 0; // 指定table数据load virtual std::future Load(uint32_t table_id, const std::string &epoch, const std::string &mode) = 0; // 全量table数据save value_accessor根据mode,可能有不同的save条件 virtual std::future Save(const std::string &epoch, const std::string &mode) = 0; // 指定table数据save value_accessor根据mode,可能有不同的save条件 virtual std::future Save(uint32_t table_id, const std::string &epoch, const std::string &mode) = 0; // 清空table数据 virtual std::future Clear() = 0; virtual std::future Clear(uint32_t table_id) = 0; // pull dense的参数部分,并分块填充到本地网络参数中 // start和num用于拉取部分参数 // future结束前keys和values缓冲区不能再次使用 // client将values按照区块拆包后送交多个sender // sender聚集同一区块的请求,累计多个填充buffer // server将参数区块中配置的某一维提取返回 // 返回数据解包后填充到累计的多个buffer中 virtual std::future PullDense(Region *regions, size_t region_num, size_t table_id) = 0; // 保留 // firstly push dense param for parameter server // this is necessary because dense weight initialized in trainer on cold // start virtual std::future PushDenseParam(const Region *regions, size_t region_num, size_t table_id) = 0; virtual std::future PushDense(const Region *regions, size_t region_num, size_t table_id) = 0; // 使用keys进行pull请求,结果填充values // keys和values的个数均为num个,每个value占用select_size空间 // future结束前keys和values缓冲区不能再次使用 // 整合多个线程请求的keys,聚集并分散发送到server // 返回结果后,遍历buffer并对values赋值 // is_training 用于区分请求是训练/预测,server端对于特征和准入会有不同的处理. virtual std::future PullSparse(float **select_values, size_t table_id, const uint64_t *keys, size_t num, bool is_training) = 0; virtual std::future PullSparseParam(float **select_values, size_t table_id, const uint64_t *keys, size_t num, bool is_training) { VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } virtual ::std::future PullSparsePtr(char **select_values, size_t table_id, const uint64_t *keys, size_t num) { VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } virtual std::future PrintTableStat(uint32_t table_id) = 0; // 确保所有积攒中的请求都发起发送 virtual std::future Flush() = 0; // server优雅退出 virtual std::future StopServer() = 0; // server profilera virtual std::future StartProfiler() = 0; virtual std::future StopProfiler() = 0; virtual std::future Barrier(size_t table_id, uint32_t barrier_type) = 0; virtual std::future PullGeoParam(size_t table_id, std::vector *values, std::vector *keys, int pserver_idx) = 0; virtual std::future PushGlobalStep(int table_id, int64_t *total_send_data, void *done) = 0; // recv table from server and save it in LodTensor virtual int32_t RecvAndSaveTable(const uint64_t table_id, const std::string &path) = 0; virtual void FinalizeWorker() = 0; // client to client, 消息发送 virtual std::future SendClient2ClientMsg(int msg_type, int to_client_id, const std::string &msg) { VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } // client2client消息处理,std::function ret (msg_type, from_client_id, msg) typedef std::function MsgHandlerFunc; virtual int RegisteClient2ClientMsgHandler(int msg_type, MsgHandlerFunc handler) { _msg_handler_map[msg_type] = handler; return 0; } virtual int HandleClient2ClientMsg(int msg_type, int from_client_id, const std::string &msg) { auto itr = _msg_handler_map.find(msg_type); if (itr == _msg_handler_map.end()) { LOG(WARNING) << "unknown client2client_msg type:" << msg_type; return -1; } return itr->second(msg_type, from_client_id, msg); } virtual ValueAccessor *GetTableAccessor(size_t table_id) { auto itr = _table_accessors.find(table_id); if (itr == _table_accessors.end()) { return NULL; } return itr->second.get(); } virtual size_t GetServerNums() = 0; virtual std::future PushDenseRawGradient(int table_id, float *total_send_data, size_t total_send_data_size, void *done) = 0; virtual std::future PushSparseRawGradient( size_t table_id, const uint64_t *keys, const float **update_values, size_t num, void *done) = 0; virtual std::future PushSparseRawGradientPartial( size_t table_id, const uint64_t *keys, const float **update_values, uint32_t num, void *done, int pserver_idx) = 0; virtual std::future PushSparseParam(size_t table_id, const uint64_t *keys, const float **update_values, size_t num, void *done) = 0; virtual std::future PushSparse(size_t table_id, const uint64_t *keys, const float **update_values, size_t num) = 0; // for save cache virtual std::future CacheShuffle( uint32_t table_id, const std::string &path, const std::string &mode, const std::string &cache_threshold) { VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } virtual std::future CacheShuffleMultiTable( std::vector tables, const std::string &path, const std::string &mode, const std::string &cache_threshold) { VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } virtual std::future SaveCache(uint32_t table_id, const std::string &path, const std::string &mode) { VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } virtual std::future GetCacheThreshold( uint32_t table_id, double &cache_threshold) { // NOLINT VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } virtual std::future Revert() { VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } virtual std::future CheckSavePrePatchDone() { VLOG(0) << "Did not implement"; std::promise promise; std::future fut = promise.get_future(); promise.set_value(-1); return fut; } protected: virtual int32_t Initialize() = 0; size_t _client_id; PSParameter _config; std::map> _dense_pull_regions; PSEnvironment *_env; std::unordered_map> _table_accessors; std::unordered_map _msg_handler_map; // 处理client2client消息 }; template class AsyncRequestTask { public: AsyncRequestTask() : _promise(std::make_shared>()) {} AsyncRequestTask(T &data, size_t table_id, std::shared_ptr &timer) : _table_id(table_id), _timer(timer), _promise(std::make_shared>()) { _data = std::move(data); } AsyncRequestTask(AsyncRequestTask &data) // NOLINT : _table_id(data.table_id()), _timer(data.timer()), _promise(data.promise()) { _data = std::move(data.data()); } ~AsyncRequestTask() {} inline T &data() { return _data; } inline size_t table_id() { return _table_id; } inline std::shared_ptr &timer() { return _timer; } inline std::future get_future() { return _promise->get_future(); } inline std::shared_ptr> &promise() { return _promise; } private: T _data; size_t _table_id; std::shared_ptr _timer; std::shared_ptr> _promise; }; REGISTER_PSCORE_REGISTERER(PSClient); class PSClientFactory { public: static PSClient *Create(const PSParameter &config); }; } // namespace distributed } // namespace paddle