/* * Copyright (c) 2019-2024, NVIDIA CORPORATION. All rights reserved. * Copyright (c) 2021, NAVER Corp. Authored by CLOVA. * * 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/executor/types.h" #include "tensorrt_llm/layers/baseLayer.h" #include "tensorrt_llm/layers/decodingParams.h" #include namespace tensorrt_llm::layers { //! \brief Layer to ban specific words from being sampled. //! Supports banning bad words and repeating N grams. //! Set badWordsPtr, maxBadWordsLen and badWordsLengths to ban bad words. //! Set noRepeatNgramSize in input params to ban repeat Ngrams. //! Layer modifies logits in-place. template class BanWordsLayer : public BaseLayer { public: BanWordsLayer(executor::DecodingMode const& mode, DecoderDomain const& decoderDomain, std::shared_ptr bufferManager); void setup(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, TensorConstPtr batchSlots, std::shared_ptr const& baseSetupParams, std::shared_ptr const& workspace) override; //! \brief Modifies 'outputs->logits' in-place with -INF for banned words void forwardAsync(std::shared_ptr const& outputs, std::shared_ptr const& inputs, std::shared_ptr const& workspace) override; private: void allocateBuffer(); void banBadWords(TensorPtr const& logits, std::shared_ptr const& outputs, std::shared_ptr const& inputs, BufferConstPtr const& batchSlots, DecoderDomain const& decoderDomain, runtime::SizeType32 maxSeqLen); void banRepeatNGrams(TensorPtr const& logits, std::shared_ptr const& outputs, std::shared_ptr const& inputs, BufferConstPtr const& batchSlots, BufferPtr noRepeatNgramSizeDevice, DecoderDomain const& decoderDomain, runtime::SizeType32 maxSeqLen, bool useNoRepeatNgramSize); private: executor::DecodingMode mDecodingMode; TensorPtr mNoRepeatNgramSizeDevice; TensorPtr mNoRepeatNgramSize; bool mUseNoRepeatNgramSize{false}; }; } // namespace tensorrt_llm::layers