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https://github.com/NVIDIA/TensorRT-LLM.git
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74 lines
2.2 KiB
C++
74 lines
2.2 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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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*/
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#pragma once
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#include "tensorrt_llm/common/assert.h"
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#include <atomic>
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#include <functional>
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#include <future>
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#include <mutex>
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#include <queue>
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#include <thread>
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#include <vector>
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#include <iostream>
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namespace tensorrt_llm::batch_manager::utils
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{
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// A simple static thread pool to avoid the overhead caused by having too many threads.
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class StaticThreadPool
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{
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public:
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explicit StaticThreadPool(std::size_t numThreads);
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StaticThreadPool(StaticThreadPool const&) = delete;
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StaticThreadPool& operator=(StaticThreadPool const&) = delete;
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~StaticThreadPool();
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// TODO: Performance optimization.
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template <typename TFunction, typename... TArgs>
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[[nodiscard]] std::future<std::invoke_result_t<TFunction, TArgs...>> execute(TFunction&& f, TArgs&&... args)
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{
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TLLM_CHECK(!mTerminate);
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auto task = std::make_shared<std::packaged_task<std::invoke_result_t<TFunction, TArgs...>()>>(
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std::bind(std::forward<TFunction>(f), std::forward<TArgs>(args)...));
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auto res = task->get_future();
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{
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std::unique_lock lock(mQueueMutex);
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mQueue.push([taskCapture = std::move(task)] { (*taskCapture)(); });
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}
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return res;
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}
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void requestStop();
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private:
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void workerThread();
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void join();
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std::atomic<bool> mTerminate{false};
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std::queue<std::function<void()>> mQueue;
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std::mutex mQueueMutex;
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std::vector<std::thread> mThreads;
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};
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} // namespace tensorrt_llm::batch_manager::utils
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