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