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97 lines
2.7 KiB
97 lines
2.7 KiB
/* Copyright (c) 2020 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 <stdint.h>
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#include <atomic>
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#include <deque>
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#include <iostream> // temp for debug
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#include <memory>
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#include <mutex> // NOLINT
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#include <random>
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#include <typeinfo>
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#include <utility>
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namespace paddle {
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namespace framework {
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struct GeneratorState {
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int64_t device = -1;
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uint64_t current_seed = 34342423252;
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std::mt19937_64 cpu_engine;
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};
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struct Generator {
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Generator() {
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GeneratorState default_gen_state_cpu;
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default_gen_state_cpu.device = -1;
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default_gen_state_cpu.current_seed = 34342423252;
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std::seed_seq seq({34342423252});
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default_gen_state_cpu.cpu_engine = std::mt19937_64(seq);
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this->state_ = std::make_shared<GeneratorState>(default_gen_state_cpu);
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}
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explicit Generator(GeneratorState state_in)
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: state_{std::make_shared<GeneratorState>(state_in)} {}
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Generator(const Generator& other)
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: Generator(other, std::lock_guard<std::mutex>(other.mutex)) {}
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// get random state
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GeneratorState* GetState();
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// set random state
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void SetState(GeneratorState* state_in);
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// get current seed
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uint64_t GetCurrentSeed();
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// random a seed and get
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uint64_t Seed();
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// set seed
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void SetCurrentSeed(uint64_t seed);
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// get cpu engine
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std::mt19937_64& GetCPUEngine();
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// set cpu engine
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void SetCPUEngine(std::mt19937_64 engine);
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uint64_t Random64();
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bool is_init_py = false;
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// CPU Generator singleton
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static std::shared_ptr<Generator> GetInstance() {
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if (NULL == gen_instance_) {
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gen_instance_.reset(new paddle::framework::Generator());
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}
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return gen_instance_;
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}
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static std::shared_ptr<Generator> GetInstanceX() {
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if (NULL == gen_instance_) {
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gen_instance_.reset(new paddle::framework::Generator());
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}
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gen_instance_->is_init_py = true;
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return gen_instance_;
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}
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private:
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static std::shared_ptr<Generator> gen_instance_;
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std::shared_ptr<GeneratorState> state_;
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mutable std::mutex mutex;
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Generator(const Generator& other, const std::lock_guard<std::mutex>&)
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: state_(std::make_shared<GeneratorState>(*(other.state_))) {}
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};
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} // namespace framework
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} // namespace paddle
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