TensorRT-LLMs/cpp/include/tensorrt_llm/batch_manager/kvCacheUtils.h
Kaiyu Xie 77d7fe1eb2
Update TensorRT-LLM (#2849)
* Update TensorRT-LLM

---------

Co-authored-by: aotman <chenhangatm@gmail.com>
2025-03-04 18:44:00 +08:00

191 lines
4.5 KiB
C++

/*
* Copyright (c) 2022-2024, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include "tensorrt_llm/batch_manager/kvCacheManager.h"
namespace tensorrt_llm::batch_manager::kv_cache_manager
{
class BlockIterator;
class BlockRange
{
public:
// C++20 std::default_sentinel_t equivalent
struct Sentinel
{
};
BlockRange(BaseKVCacheManager const& cacheManager, LlmRequest::RequestIdType requestId, SizeType32 beam,
SizeType32 poolIdx = 0)
: mManager(&cacheManager)
, mPool(cacheManager.getBlockManager().getPrimaryPool(poolIdx))
, mBlockIds(cacheManager.getSequence(requestId).getCacheBlockIds().at(beam))
{
}
BlockRange(BaseKVCacheManager const& cacheManager, std::vector<SizeType32> blockIds, SizeType32 poolIdx = 0)
: mManager(&cacheManager)
, mPool(cacheManager.getBlockManager().getPrimaryPool(poolIdx))
, mBlockIds(std::move(blockIds))
{
}
BlockRange(runtime::ITensor::SharedPtr pool, std::vector<SizeType32> const& blockIds)
: mManager{nullptr}
, mPool{std::move(pool)}
, mBlockIds{blockIds}
{
TLLM_CHECK(mPool);
}
[[nodiscard]] BlockIterator begin() const;
[[nodiscard]] Sentinel end() const
{
return {};
}
[[nodiscard]] size_t size() const
{
return mBlockIds.size();
}
[[nodiscard]] std::vector<SizeType32> const& getBlockIds() const
{
return mBlockIds;
}
void setBlockIds(std::vector<SizeType32> blockIds)
{
mBlockIds = std::move(blockIds);
}
[[nodiscard]] std::vector<size_t> getBlockHashes() const
{
TLLM_CHECK(mManager);
std::vector<size_t> blockHashes;
blockHashes.reserve(mBlockIds.size());
auto& blockManager = mManager->getBlockManager();
for (auto id : mBlockIds)
{
blockHashes.emplace_back(blockManager.getBlockById(id)->getHash());
}
return blockHashes;
}
void updatePoolIdx(SizeType32 poolIdx)
{
if (mManager)
{
mPool = mManager->getBlockManager().getPrimaryPool(poolIdx);
}
}
friend class BlockIterator;
private:
BaseKVCacheManager const* mManager;
runtime::ITensor::SharedPtr mPool;
std::vector<SizeType32> mBlockIds;
};
class BlockIterator
{
public:
using iterator_category = std::forward_iterator_tag;
using value_type = runtime::ITensor;
using pointer = runtime::ITensor::SharedPtr;
using reference = value_type&;
using SizeType32 = tensorrt_llm::runtime::SizeType32;
BlockIterator(BlockRange const* range, size_t idx)
: mRange{range}
, mIdx{idx}
{
TLLM_CHECK(mIdx == 0 || mIdx < mRange->mBlockIds.size());
update();
}
[[nodiscard]] pointer operator->()
{
return mCurrent;
}
[[nodiscard]] reference operator*()
{
return *mCurrent;
}
BlockIterator& operator++()
{
mIdx++;
update();
return *this;
}
BlockIterator operator++(int)
{
auto ret = *this;
mIdx++;
update();
return ret;
}
operator runtime::ITensor::SharedPtr()
{
return mCurrent;
}
[[nodiscard]] bool operator==(BlockIterator const& other) const
{
return mIdx == other.mIdx && mRange == other.mRange;
}
[[nodiscard]] bool operator==(BlockRange::Sentinel other) const
{
return mIdx == mRange->mBlockIds.size();
}
template <class T>
[[nodiscard]] bool operator!=(T const& other) const
{
return !(*this == other);
}
private:
void update()
{
if (mIdx < mRange->mBlockIds.size())
{
mCurrent = runtime::ITensor::slice(mRange->mPool, mRange->mBlockIds.at(mIdx), 1);
}
}
BlockRange const* mRange;
runtime::ITensor::SharedPtr mCurrent;
size_t mIdx;
};
inline BlockIterator BlockRange::begin() const
{
return {this, 0};
}
} // namespace tensorrt_llm::batch_manager::kv_cache_manager