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https://github.com/NVIDIA/TensorRT-LLM.git
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655524dd82
* Update TensorRT-LLM --------- Co-authored-by: Bhuvanesh Sridharan <bhuvan.sridharan@gmail.com> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
82 lines
3.4 KiB
C++
82 lines
3.4 KiB
C++
/*
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* Copyright (c) 2022-2024, 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 "tensorrt_llm/runtime/common.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include <memory>
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#include <optional>
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namespace tensorrt_llm::runtime
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{
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class DecodingInput
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{
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public:
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using TensorPtr = std::shared_ptr<ITensor const>;
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DecodingInput(SizeType maxLength, SizeType maxAttentionWindow, SizeType sinkTokenLength, SizeType maxBatchSize,
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TensorPtr logits, TensorPtr endIds)
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: step{maxLength}
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, maxLength{maxLength}
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, maxAttentionWindow{maxAttentionWindow}
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, sinkTokenLength{sinkTokenLength}
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, maxBatchSize{maxBatchSize}
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, maxStopWordsLen{0}
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, maxBadWordsLen{0}
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, logits{std::move(logits)}
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, endIds{std::move(endIds)}
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{
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TLLM_CHECK_WITH_INFO(static_cast<bool>(this->logits), "Invalid logits tensor");
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TLLM_CHECK_WITH_INFO(static_cast<bool>(this->endIds), "Invalid endIds tensor");
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}
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// mandatory parameters
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SizeType step;
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SizeType maxLength;
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SizeType maxAttentionWindow;
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SizeType sinkTokenLength;
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SizeType maxBatchSize;
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SizeType maxStopWordsLen; // The maximum value in the `stopWordsLens` tensor
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SizeType maxBadWordsLen; // The maximum value in the `badWordsLens` tensor
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TensorPtr logits; // [batchSize, beamWidth, vocabSizePadded], on gpu
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std::optional<std::vector<TensorPtr>>
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logitsVec; // vector of size [batchSize] contains logits of size [beamWidth, vocabSizePadded], on gpu
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TensorPtr endIds; // [maxBatchSize * beamWidth], on gpu
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// optional parameters
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TensorPtr finished; // [maxBatchSize, beamWidth], finished states at current iteration.
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// If true for some request, the decoding step of it is skipped, on gpu
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TensorPtr sequenceLimitLength; // [maxBatchSize], on gpu
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TensorPtr embeddingBias; // [maxBatchSize, vocabSizePadded], on gpu
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TensorPtr lengths; // [maxBatchSize, beamWidth], on gpu
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TensorPtr badWordsList; // [2, badWordsLength] or [maxBatchSize, 2, badWordsLength], on gpu
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TensorPtr badWordsPtrs; // [maxBatchSize][2, badWordsLength], on gpu
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TensorPtr badWordsLens; // [maxBatchSize], on gpu
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TensorPtr stopWordsList; // [maxBatchSize, 2, stopWordsLength], on gpu
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TensorPtr stopWordsPtrs; // [maxBatchSize][2, stopWordsLength], on gpu
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TensorPtr stopWordsLens; // [maxBatchSize], on gpu
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TensorPtr noRepeatNgramSize; // [maxBatchSize], on gpu
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TensorPtr
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batchSlots; // [batchSize], optional, address map of the linear batch id to to the seq slots, int32_t, pinned
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// parameters for beam search
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TensorPtr cacheIndirection; // [maxBatchSize, beamWidth, maxSeqLen] - the k/v cache index for beam search, on gpu
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};
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} // namespace tensorrt_llm::runtime
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