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81 lines
2.8 KiB
81 lines
2.8 KiB
// Copyright (c) 2020 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 <ThreadPool.h>
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#include <assert.h>
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#include <pthread.h>
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#include <string>
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#include "Eigen/Dense"
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#include "paddle/fluid/distributed/table/accessor.h"
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#include "paddle/fluid/distributed/table/common_table.h"
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#include "paddle/fluid/distributed/table/depends/dense.h"
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#include "paddle/fluid/distributed/table/depends/initializers.h"
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#include "paddle/fluid/string/string_helper.h"
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namespace paddle {
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namespace distributed {
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class CommonDenseTable : public DenseTable {
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public:
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explicit CommonDenseTable() {}
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virtual ~CommonDenseTable() {}
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virtual int32_t initialize() override;
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virtual int32_t initialize_shard() override { return 0; }
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virtual void create_initializer(const std::string& attr,
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const std::string& name);
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virtual int32_t initialize_value();
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virtual int32_t initialize_optimizer();
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virtual int32_t pull_dense(float* pull_values, size_t num) override;
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virtual int32_t push_dense_param(const float* values, size_t num) override;
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virtual int32_t push_dense(const float* values, size_t num) override;
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virtual int32_t pour() override;
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int32_t load(const std::string& path, const std::string& param) override {
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VLOG(0) << "Dense table may load by "
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"paddle.distributed.fleet.init_server";
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return 0;
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}
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int32_t save(const std::string& path, const std::string& param) override {
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VLOG(0)
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<< "Dense table may be saved by "
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"paddle.distributed.fleet.save_persistables/save_inference_model";
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return 0;
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}
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virtual int32_t flush() override { return 0; }
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virtual int32_t shrink() override { return 0; }
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virtual void clear() override { return; }
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protected:
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int32_t _push_dense(const float* values, size_t num);
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private:
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const int task_pool_size_ = 1;
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bool sync = true;
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std::vector<std::shared_ptr<::ThreadPool>> _shards_task_pool;
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int param_dim_ = 0;
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int param_idx_ = 0;
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std::shared_ptr<DenseOptimizer> optimizer_;
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std::vector<std::vector<float>> values_;
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ReservoirValue<float> pull_reservoir_;
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std::unordered_map<std::string, Initializer*> initializers_;
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std::unordered_map<std::string, int> names_index_;
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};
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} // namespace distributed
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} // namespace paddle
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