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96 lines
3.1 KiB
96 lines
3.1 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 <fstream>
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#include <memory>
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#include <mutex> // NOLINT
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#include <string>
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#include <thread> // NOLINT
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#include <vector>
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#include "paddle/fluid/framework/data_feed.h"
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#include "paddle/fluid/framework/data_set.h"
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#include "paddle/fluid/framework/device_worker.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/program_desc.h"
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#include "paddle/fluid/framework/reader.h"
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#include "paddle/fluid/framework/trainer_desc.pb.h"
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#include "paddle/fluid/framework/variable_helper.h"
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#include "paddle/fluid/operators/reader/blocking_queue.h"
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#include "paddle/fluid/platform/port.h"
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namespace paddle {
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namespace framework {
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class TrainerBase {
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public:
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TrainerBase() {}
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virtual ~TrainerBase() {}
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// model memory are hosted in root_scope
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void SetScope(Scope* root_scope);
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void SetDebug(const bool debug) { debug_ = debug; }
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void SetDataset(Dataset* dataset_ptr) { dataset_ptr_ = dataset_ptr; }
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virtual void Initialize(const TrainerDesc& trainer_desc,
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Dataset* data_set) = 0;
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virtual void InitTrainerEnv(const ProgramDesc& main_program,
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const platform::Place& place) = 0;
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virtual void InitOtherEnv(const ProgramDesc& main_program) = 0;
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virtual void Run() = 0;
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virtual void Finalize() = 0;
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protected:
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Scope* root_scope_;
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bool debug_;
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Dataset* dataset_ptr_;
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};
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// general trainer for async execution
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// local trainer and distributed trainer are supported
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// depends on the assigned device_worker
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class MultiTrainer : public TrainerBase {
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public:
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MultiTrainer() {}
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virtual ~MultiTrainer() {}
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virtual void Initialize(const TrainerDesc& trainer_desc, Dataset* data_set);
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virtual void InitTrainerEnv(const ProgramDesc& main_program,
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const platform::Place& place);
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virtual void InitOtherEnv(const ProgramDesc& main_program) {}
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virtual void Run();
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virtual void Finalize();
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protected:
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int thread_num_;
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std::vector<std::thread> threads_;
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std::vector<std::shared_ptr<DataFeed>> readers_;
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std::vector<std::shared_ptr<DeviceWorker>> workers_;
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};
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class DistMultiTrainer : public MultiTrainer {
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public:
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DistMultiTrainer() {}
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virtual ~DistMultiTrainer() {}
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virtual void Initialize(const TrainerDesc& trainer_desc, Dataset* data_set);
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virtual void InitOtherEnv(const ProgramDesc& main_program);
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virtual void Run();
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virtual void Finalize();
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protected:
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std::shared_ptr<paddle::framework::PullDenseWorker> pull_dense_worker_;
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};
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} // namespace framework
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} // namespace paddle
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