mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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105 lines
2.7 KiB
C++
105 lines
2.7 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/batch_manager/kvCacheManager.h"
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namespace tensorrt_llm::batch_manager::kv_cache_manager
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{
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class BlockIterator
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{
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public:
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using iterator_category = std::forward_iterator_tag;
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using value_type = runtime::ITensor;
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using pointer = runtime::ITensor::SharedPtr;
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using reference = value_type&;
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using SizeType32 = tensorrt_llm::runtime::SizeType32;
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BlockIterator(runtime::ITensor::SharedPtr blockPoolPtr, std::vector<SizeType32> blockIds, size_t idx)
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: mPool{std::move(blockPoolPtr)}
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, mBlockIds{std::move(blockIds)}
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, mIdx{idx}
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{
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TLLM_CHECK(mPool);
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TLLM_CHECK(mIdx <= mBlockIds.size());
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update();
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}
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[[nodiscard]] pointer operator->()
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{
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return mCurrent;
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}
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[[nodiscard]] reference operator*()
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{
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return *mCurrent;
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}
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BlockIterator& operator++()
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{
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mIdx++;
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update();
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return *this;
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}
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BlockIterator operator++(int)
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{
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auto ret = *this;
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ret.update();
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mIdx++;
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return ret;
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}
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operator runtime::ITensor::SharedPtr()
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{
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return mCurrent;
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}
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[[nodiscard]] bool operator==(BlockIterator const& other) const
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{
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return mIdx == other.mIdx && mPool.get() == other.mPool.get();
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}
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[[nodiscard]] bool operator!=(BlockIterator const& other) const
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{
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return !(*this == other);
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}
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private:
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void update()
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{
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if (mIdx < mBlockIds.size())
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{
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mCurrent = runtime::ITensor::slice(mPool, mBlockIds.at(mIdx), 1);
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}
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}
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runtime::ITensor::SharedPtr mPool;
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runtime::ITensor::SharedPtr mCurrent;
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std::vector<SizeType32> const mBlockIds;
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size_t mIdx;
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};
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[[nodiscard]] BlockIterator getBlockBeginIt(
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BaseKVCacheManager const& cacheManager, LlmRequest const& request, SizeType32 beam, SizeType32 poolIdx);
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[[nodiscard]] BlockIterator getBlockEndIt(
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BaseKVCacheManager const& cacheManager, LlmRequest const& request, SizeType32 beam, SizeType32 poolIdx);
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} // namespace tensorrt_llm::batch_manager::kv_cache_manager
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