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* Update TensorRT-LLM --------- Co-authored-by: Kota Tsuyuzaki <bloodeagle40234@gmail.com> Co-authored-by: Pzzzzz <hello-cd.plus@hotmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com>
78 lines
2.6 KiB
C++
78 lines
2.6 KiB
C++
/*
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* Copyright (c) 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 <list>
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#include <unordered_map>
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#include "tensorrt_llm/runtime/bufferManager.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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namespace tensorrt_llm::layers
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{
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//! @brief A helper class for managing key-ngram pool.
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class LookaheadPoolManager
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{
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public:
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using TensorPtr = runtime::ITensor::SharedPtr;
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using TensorConstPtr = runtime::ITensor::SharedConstPtr;
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using Key = runtime::TokenIdType;
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LookaheadPoolManager(runtime::SizeType32 maxG)
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: mGuessSetSizeMax(maxG)
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{
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}
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//! @brief setup runtime resource
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//! @param guessSetSize the runtime guessSetSize.
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void setup(runtime::SizeType32 guessSetSize);
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//! @brief fill token map from accepted tokens, including prompt.
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//! @param prompt the user input prompt, [length] on cpu
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//! @param level the n-gram length
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void accept(TensorConstPtr const& prompt, runtime::SizeType32 level);
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//! @brief get a list of guess tokens
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//! @param lastToken the newest golden token
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//! @param guessSize at most guessSize candidates returned
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//! @return the list guess tokens, with list size <= guessSize
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std::list<TensorConstPtr> guess(Key lastToken, runtime::SizeType32 guessSize) const;
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//! @brief update token map with new generated tokens
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//! @param keyTokens the new shifted out tokens from each window, as the key, [window] on cpu
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//! @param ngramTokens the new shifted lookahead window, as the ngrams, [window, ngramLen] on cpu
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void update(TensorConstPtr const& keyTokens, TensorConstPtr const& ngramTokens);
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std::unordered_map<Key, std::list<TensorConstPtr>> const& getMap() const
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{
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return mTokenMap;
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}
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private:
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void insertOne(Key key, TensorConstPtr const& ngram);
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private:
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//! @brief the token map with token as key and list of n-gram as value
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std::unordered_map<Key, std::list<TensorConstPtr>> mTokenMap;
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//! @brief guess set size, -1 for infinite size
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runtime::SizeType32 const mGuessSetSizeMax;
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runtime::SizeType32 mGuessSetSize;
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};
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} // namespace tensorrt_llm::layers
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