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* Update TensorRT-LLM --------- Co-authored-by: Altair-Alpha <[email protected]>
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/* | ||
* 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. | ||
*/ | ||
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#pragma once | ||
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// THIS FILE IS AUTO GENERATED FROM cmake/templates/version.h. DO NOT EDIT. | ||
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namespace tensorrt_llm::executor | ||
{ | ||
static auto constexpr kTensorRtLlmVersion = "@TRTLLM_VERSION@"; | ||
} |
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/* | ||
* 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. | ||
*/ | ||
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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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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; | ||
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BlockIterator(runtime::ITensor::SharedPtr blockPoolPtr, std::vector<SizeType32> blockIds, size_t idx) | ||
: mPool{std::move(blockPoolPtr)} | ||
, mBlockIds{std::move(blockIds)} | ||
, mIdx{idx} | ||
{ | ||
TLLM_CHECK(mPool); | ||
TLLM_CHECK(mIdx <= mBlockIds.size()); | ||
update(); | ||
} | ||
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[[nodiscard]] pointer operator->() | ||
{ | ||
return mCurrent; | ||
} | ||
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[[nodiscard]] reference operator*() | ||
{ | ||
return *mCurrent; | ||
} | ||
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BlockIterator& operator++() | ||
{ | ||
mIdx++; | ||
update(); | ||
return *this; | ||
} | ||
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BlockIterator operator++(int) | ||
{ | ||
auto ret = *this; | ||
ret.update(); | ||
mIdx++; | ||
return ret; | ||
} | ||
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[[nodiscard]] bool operator==(BlockIterator const& other) const | ||
{ | ||
return mIdx == other.mIdx && mPool.get() == other.mPool.get(); | ||
} | ||
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[[nodiscard]] bool operator!=(BlockIterator const& other) const | ||
{ | ||
return !(*this == other); | ||
} | ||
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private: | ||
void update() | ||
{ | ||
if (mIdx < mBlockIds.size()) | ||
{ | ||
mCurrent = runtime::ITensor::slice(mPool, mBlockIds.at(mIdx), 1); | ||
} | ||
} | ||
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runtime::ITensor::SharedPtr mPool; | ||
runtime::ITensor::SharedPtr mCurrent; | ||
const std::vector<SizeType32> mBlockIds; | ||
size_t mIdx; | ||
}; | ||
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[[nodiscard]] BlockIterator getBlockBeginIt( | ||
KVCacheManager const& cacheManager, LlmRequest const& request, SizeType32 beam); | ||
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[[nodiscard]] BlockIterator getBlockEndIt( | ||
KVCacheManager const& cacheManager, LlmRequest const& request, SizeType32 beam); | ||
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} // namespace tensorrt_llm::batch_manager::kv_cache_manager |
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