/* * 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 #include "tensorrt_llm/common/tensor.h" #include "tensorrt_llm/layers/baseLayer.h" #include "tensorrt_llm/layers/decodingParams.h" #include "tensorrt_llm/runtime/decodingMode.h" #include "tensorrt_llm/runtime/iTensor.h" namespace tensorrt_llm { namespace 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(runtime::DecodingMode const& mode, DecoderDomain const& decoderDomain, cudaStream_t stream, std::shared_ptr allocator); ~BanWordsLayer() override = default; void setup(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, runtime::SizeType32 const* batchSlots, std::shared_ptr setupParams) override; //! \brief Modifies 'outputs->logits' in-place with -INF for banned words void forward(std::shared_ptr outputs, std::shared_ptr inputs) override; private: static void banRepeatNGrams(tc::Tensor& logits, std::shared_ptr const& outputs, std::shared_ptr const& params, runtime::SizeType32 const* batchSlots, runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, runtime::SizeType32 maxSeqLen, runtime::SizeType32 vocabSizePadded, cudaStream_t stream); static void banBadWords(tc::Tensor& logits, std::shared_ptr const& outputs, std::shared_ptr const& params, runtime::SizeType32 const* batchSlots, runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, runtime::SizeType32 maxSeqLen, runtime::SizeType32 vocabSizePadded, cudaStream_t stream); private: using BaseLayer::mWorkspaceSize; using BaseLayer::mAllocatedSize; using BaseLayer::mStream; using BaseLayer::mAllocator; runtime::DecodingMode mDecodingMode; }; } // namespace layers } // namespace tensorrt_llm