mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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97 lines
3.1 KiB
C++
97 lines
3.1 KiB
C++
/*
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* Copyright (c) 2022-2024, NVIDIA CORPORATION. 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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*/
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#pragma once
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#include "tensorrt_llm/executor/executor.h"
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#include <chrono>
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#include <condition_variable>
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#include <deque>
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#include <mutex>
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#include <thread>
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#include <vector>
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namespace tensorrt_llm::batch_manager::kv_cache_manager
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{
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using SizeType32 = tensorrt_llm::runtime::SizeType32;
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class KVCacheBlock;
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using BlockPtr = std::shared_ptr<KVCacheBlock>;
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class KVCacheEventManager
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{
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public:
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explicit KVCacheEventManager(size_t maxKVEventEntries);
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~KVCacheEventManager();
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KVCacheEventManager(KVCacheEventManager& other) = delete;
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KVCacheEventManager& operator=(KVCacheEventManager& other) = delete;
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KVCacheEventManager(KVCacheEventManager&& other) = delete;
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KVCacheEventManager& operator=(KVCacheEventManager&& other) = delete;
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void enqueueCreatedEvent(std::vector<SizeType32> const& numBlocksPerCacheLevel);
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void enqueueStoredEvent(std::vector<BlockPtr> const& blocks);
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void enqueueRemovedEvent(BlockPtr const& block);
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void enqueueUpdatedEvent(executor::KVCacheUpdatedData const& data);
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// Get events in mEvents. If there are no events, wait for a maximum of `timeout` milliseconds.
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std::deque<executor::KVCacheEvent> getEvents(std::optional<std::chrono::milliseconds> timeout);
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// Clear the event buffer, and asynchronously move events to the event queue.
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void flush();
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// Worker thread which adds events to mEvents.
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void worker();
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private:
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// Add an event to mEventQueue
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void enqueueEvent(executor::KVCacheEvent&& event);
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/// @brief Flag to terminate the worker
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bool mRun;
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/// @brief Worker thread
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std::thread mWorkerThread;
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/// @brief The deque of events
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std::deque<executor::KVCacheEvent> mEvents;
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/// @brief Lock for mEvents
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std::mutex mEventsMutex;
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/// @brief Condition variable for blocking read
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std::condition_variable mEmptyCV;
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/// @brief List of buffers waiting awaiting insertion into mEvents. Consumed by the worker.
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std::deque<std::deque<executor::KVCacheEvent>> mPendingEvents;
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/// @brief Lock for mPendingEvents
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std::mutex mPendingEventsMutex;
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/// @brief Condition variable to notify worker thread
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std::condition_variable mPendingEmptyCV;
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/// @brief Buffer of events waiting to be added to the eventQueue. Only ever accessed by forward pass thread.
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std::deque<executor::KVCacheEvent> mEventQueue;
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/// @brief The maximum size of the deque
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size_t mMaxSize;
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/// @brief An auto-incrementing event id counter
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size_t mEventId;
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};
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} // namespace tensorrt_llm::batch_manager::kv_cache_manager
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