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https://github.com/NVIDIA/TensorRT-LLM.git
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bca9a33b02
* Update TensorRT-LLM --------- Co-authored-by: Timur Abishev <abishev.timur@gmail.com> Co-authored-by: MahmoudAshraf97 <hassouna97.ma@gmail.com> Co-authored-by: Saeyoon Oh <saeyoon.oh@furiosa.ai> Co-authored-by: hattizai <hattizai@gmail.com>
67 lines
2.6 KiB
C++
67 lines
2.6 KiB
C++
/*
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* Copyright (c) 2019-2024, NVIDIA CORPORATION. All rights reserved.
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* Copyright (c) 2021, NAVER Corp. Authored by CLOVA.
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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 "tensorrt_llm/executor/types.h"
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#include "tensorrt_llm/layers/baseLayer.h"
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#include "tensorrt_llm/layers/decodingParams.h"
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#include <curand_kernel.h>
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namespace tensorrt_llm::layers
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{
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//! \brief Layer to ban specific words from being sampled.
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//! Supports banning bad words and repeating N grams.
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//! Set badWordsPtr, maxBadWordsLen and badWordsLengths to ban bad words.
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//! Set noRepeatNgramSize in input params to ban repeat Ngrams.
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//! Layer modifies logits in-place.
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template <typename T>
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class BanWordsLayer : public BaseLayer
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{
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public:
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BanWordsLayer(executor::DecodingMode const& mode, DecoderDomain const& decoderDomain,
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std::shared_ptr<runtime::BufferManager> bufferManager);
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void setup(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, BufferConstPtr batchSlots,
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std::shared_ptr<BaseSetupParams> const& baseSetupParams) override;
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//! \brief Modifies 'outputs->logits' in-place with -INF for banned words
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void forwardAsync(std::shared_ptr<BaseDecodingOutputs> const& outputs,
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std::shared_ptr<BaseDecodingInputs> const& inputs) override;
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private:
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void allocateBuffer();
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void banBadWords(TensorPtr logits, std::shared_ptr<BaseDecodingOutputs> const& outputs,
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std::shared_ptr<DecodingInputs> const& inputs, BufferConstPtr batchSlots, DecoderDomain const& decoderDomain,
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runtime::SizeType32 maxSeqLen);
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void banRepeatNGrams(TensorPtr logits, std::shared_ptr<BaseDecodingOutputs> const& outputs,
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std::shared_ptr<DecodingInputs> const& inputs, BufferConstPtr batchSlots, BufferPtr noRepeatNgramSizeDevice,
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DecoderDomain const& decoderDomain, runtime::SizeType32 maxSeqLen, bool useNoRepeatNgramSize);
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private:
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executor::DecodingMode mDecodingMode;
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TensorPtr mNoRepeatNgramSizeDevice;
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TensorPtr mNoRepeatNgramSize;
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bool mUseNoRepeatNgramSize{false};
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};
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} // namespace tensorrt_llm::layers
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