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https://github.com/NVIDIA/TensorRT-LLM.git
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87 lines
2.8 KiB
C++
87 lines
2.8 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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#pragma once
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#include "tensorrt_llm/batch_manager/baseTransBuffer.h"
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#include "tensorrt_llm/batch_manager/kvCacheManager.h"
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#include "tensorrt_llm/executor/executor.h"
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#include "tensorrt_llm/runtime/bufferManager.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include <atomic>
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#include <condition_variable>
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#include <cstddef>
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#include <map>
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#include <optional>
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#include <unordered_map>
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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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class FabricMemory
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{
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public:
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explicit FabricMemory(size_t size);
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~FabricMemory();
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FabricMemory(FabricMemory const&) = delete;
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FabricMemory& operator=(FabricMemory const&) = delete;
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FabricMemory(FabricMemory&&) noexcept;
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FabricMemory& operator=(FabricMemory&&) noexcept;
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void* getPtr() const;
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size_t getSize() const;
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static size_t getAlignedSize(size_t size);
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static bool supportFbaricMemory();
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private:
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class Impl;
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std::unique_ptr<Impl> pImpl;
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};
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/// @brief KV Cache specific transfer buffer manager.
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/// Inherits common buffer management from BaseTransBufferManager.
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class CacheTransBufferManager : public BaseTransBufferManager
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{
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public:
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CacheTransBufferManager(KVCacheManager::BaseKVCacheManager* cacheManager,
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std::optional<size_t> maxNumTokens = std::nullopt, bool transferIndexerKCache = false);
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static size_t preAllocBufferSize(std::map<SizeType32, SizeType32> const& cacheSizeBytesPerTokenPerWindow,
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SizeType32 tokensPerBlock,
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std::optional<executor::CacheTransceiverConfig> const& cacheTransceiverConfig = std::nullopt);
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/// @brief Get the KV cache manager.
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[[nodiscard]] KVCacheManager::BaseKVCacheManager* getCacheManager() const noexcept
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{
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return mCacheManager;
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}
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private:
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/// @brief Compute transfer buffer size from KV cache configuration.
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static size_t computeTransferBufferSize(KVCacheManager::BaseKVCacheManager* cacheManager,
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std::optional<size_t> maxNumTokens, bool transferIndexerKCache);
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KVCacheManager::BaseKVCacheManager* mCacheManager;
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};
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} // namespace tensorrt_llm::batch_manager::kv_cache_manager
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