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136 lines
4.7 KiB
136 lines
4.7 KiB
/* Copyright (c) 2018 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 <memory>
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#ifdef PADDLE_WITH_PSLIB
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#include <pslib.h>
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#endif
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/variable_helper.h"
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#include "paddle/fluid/platform/macros.h" // for DISABLE_COPY_AND_ASSIGN
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namespace paddle {
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namespace framework {
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// A wrapper class for pslib.h, this class follows Singleton pattern
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// i.e. only initialized once in the current process
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// Example:
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// std::shared_ptr<FleetWrapper> fleet_ptr =
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// FleetWrapper::GetInstance();
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// string dist_desc;
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// fleet_ptr->InitServer(dist_desc, 0);
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// interface design principles:
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// Pull
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// Sync: PullSparseVarsSync
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// Async: PullSparseVarsAsync(not implemented currently)
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// Push
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// Sync: PushSparseVarsSync
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// Async: PushSparseVarsAsync(not implemented currently)
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// Async: PushSparseVarsWithLabelAsync(with special usage)
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// Push dense variables to server in Async mode
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// Param<in>: scope, table_id, var_names
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// Param<out>: push_sparse_status
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class FleetWrapper {
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public:
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virtual ~FleetWrapper() {}
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// Pull sparse variables from server in Sync mode
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// Param<in>: scope, table_id, var_names, fea_keys
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// Param<out>: fea_values
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void PullSparseVarsSync(const Scope& scope, const uint64_t table_id,
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const std::vector<std::string>& var_names,
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std::vector<uint64_t>* fea_keys,
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std::vector<std::vector<float>>* fea_values,
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int fea_dim);
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void PullDenseVarsSync(const Scope& scope, const uint64_t table_id,
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const std::vector<std::string>& var_names);
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void PullDenseVarsAsync(
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const Scope& scope, const uint64_t table_id,
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const std::vector<std::string>& var_names,
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std::vector<::std::future<int32_t>>* pull_dense_status);
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// Push dense variables to server in async mode
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// Param<in>: scope, table_id, var_names,
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// Param<out>: push_sparse_status
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void PushDenseVarsAsync(
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const Scope& scope, const uint64_t table_id,
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const std::vector<std::string>& var_names,
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std::vector<::std::future<int32_t>>* push_sparse_status);
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// Push sparse variables with labels to server in Async mode
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// This is specially designed for click/show stats in server
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// Param<in>: scope, table_id, var_grad_names,
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// fea_keys, fea_labels, sparse_grad_names
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// Param<out>: push_values, push_sparse_status
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void PushSparseVarsWithLabelAsync(
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const Scope& scope, const uint64_t table_id,
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const std::vector<uint64_t>& fea_keys,
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const std::vector<float>& fea_labels,
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const std::vector<std::string>& sparse_key_names,
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const std::vector<std::string>& sparse_grad_names, const int emb_dim,
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std::vector<std::vector<float>>* push_values,
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std::vector<::std::future<int32_t>>* push_sparse_status);
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// Push sparse variables to server in Async mode
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// Param<In>: scope, table_id, fea_keys, sparse_grad_names
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// Param<Out>: push_values, push_sparse_status
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/*
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void PushSparseVarsAsync(
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const Scope& scope,
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const uint64_t table_id,
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const std::vector<uint64_t>& fea_keys,
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const std::vector<std::string>& sparse_grad_names,
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std::vector<std::vector<float>>* push_values,
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std::vector<::std::future<int32_t>>* push_sparse_status);
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*/
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void InitServer(const std::string& dist_desc, int index);
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void InitWorker(const std::string& dist_desc,
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const std::vector<uint64_t>& host_sign_list, int node_num,
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int index);
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void StopServer();
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uint64_t RunServer();
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void GatherServers(const std::vector<uint64_t>& host_sign_list, int node_num);
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static std::shared_ptr<FleetWrapper> GetInstance() {
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if (NULL == s_instance_) {
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s_instance_.reset(new paddle::framework::FleetWrapper());
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}
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return s_instance_;
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}
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#ifdef PADDLE_WITH_PSLIB
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static std::shared_ptr<paddle::distributed::PSlib> pslib_ptr_;
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#endif
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private:
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static std::shared_ptr<FleetWrapper> s_instance_;
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private:
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FleetWrapper() {}
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protected:
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static bool is_initialized_;
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DISABLE_COPY_AND_ASSIGN(FleetWrapper);
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};
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} // end namespace framework
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} // end namespace paddle
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