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105 lines
3.4 KiB
105 lines
3.4 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 <memory>
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#include <mutex> // NOLINT
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#include <string>
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#include <unordered_map>
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#include <utility>
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#include <vector>
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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/initializers.h"
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#include "paddle/fluid/distributed/table/depends/large_scale_kv.h"
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#include "paddle/fluid/distributed/table/depends/sparse.h"
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#include "paddle/fluid/framework/rw_lock.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 CommonSparseTable : public SparseTable {
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public:
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CommonSparseTable() { rwlock_.reset(new framework::RWLock); }
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virtual ~CommonSparseTable() {}
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// unused method begin
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virtual int32_t pull_dense(float* pull_values, size_t num) { return 0; }
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virtual int32_t push_dense_param(const float* values, size_t num) {
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return 0;
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}
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virtual int32_t push_dense(const float* values, size_t num) { return 0; }
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// unused method end
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virtual int32_t initialize();
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virtual int32_t initialize_shard() { return 0; }
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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 initialize_recorder();
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int32_t load(const std::string& path, const std::string& param);
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int32_t save(const std::string& path, const std::string& param);
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virtual std::pair<int64_t, int64_t> print_table_stat();
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virtual int32_t pull_sparse(float* pull_values, const uint64_t* keys,
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size_t num);
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virtual int32_t push_sparse(const uint64_t* keys, const float* values,
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size_t num);
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// only for sparse geo table
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virtual int32_t push_sparse_param(const uint64_t* keys, const float* values,
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size_t num);
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virtual int32_t set_global_lr(float* lr) override;
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virtual int32_t pour();
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virtual int32_t flush();
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virtual int32_t shrink();
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virtual void clear();
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protected:
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virtual int32_t _push_sparse(const uint64_t* keys, const float* values,
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size_t num);
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private:
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const int task_pool_size_ = 11;
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std::vector<std::shared_ptr<::ThreadPool>> _shards_task_pool;
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bool sync = false;
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int param_dim_ = 0;
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int param_offset_ = 0;
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std::unordered_map<std::string, int> value_idx_;
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std::vector<std::string> value_names_;
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std::vector<int> value_dims_;
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std::vector<int> value_offsets_;
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std::vector<std::string> initializer_attrs_;
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std::shared_ptr<SparseOptimizer> optimizer_;
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std::vector<std::shared_ptr<ValueBlock>> shard_values_;
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std::unordered_map<uint64_t, ReservoirValue<float>> pull_reservoir_;
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std::unique_ptr<framework::RWLock> rwlock_{nullptr};
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};
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} // namespace distributed
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} // namespace paddle
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