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https://github.com/NVIDIA/TensorRT-LLM.git
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79 lines
1.8 KiB
C++
79 lines
1.8 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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#include "staticThreadPool.h"
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namespace tensorrt_llm::batch_manager::utils
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{
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StaticThreadPool::StaticThreadPool(std::size_t numThreads)
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{
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TLLM_CHECK_WITH_INFO(numThreads > 0, "The number of threads must be greater than 0.");
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try
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{
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for (std::size_t i = 0; i < numThreads; ++i)
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{
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mThreads.emplace_back(std::thread(&StaticThreadPool::workerThread, this));
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}
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}
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catch (...)
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{
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requestStop();
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join();
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}
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}
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void StaticThreadPool::join()
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{
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for (auto& thread : mThreads)
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{
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thread.join();
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}
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}
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StaticThreadPool::~StaticThreadPool()
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{
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requestStop();
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join();
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}
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void StaticThreadPool::requestStop()
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{
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mTerminate = true;
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}
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void StaticThreadPool::workerThread()
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{
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while (!mTerminate)
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{
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std::unique_lock lock(mQueueMutex);
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if (mQueue.size())
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{
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auto task = std::move(mQueue.front());
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mQueue.pop();
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lock.unlock();
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task();
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}
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else
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{
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std::this_thread::yield();
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}
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}
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}
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} // namespace tensorrt_llm::batch_manager::utils
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