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https://github.com/NVIDIA/TensorRT-LLM.git
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65 lines
2.5 KiB
C++
65 lines
2.5 KiB
C++
/*
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* Copyright (c) 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/executor/executor.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include <optional>
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namespace tensorrt_llm::runtime::decoder_batch
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{
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class Request
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{
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public:
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using TensorConstPtr = ITensor::SharedConstPtr;
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using TensorPtr = ITensor::SharedPtr;
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using BufferPtr = IBuffer::SharedPtr;
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explicit Request(TensorConstPtr ids, SizeType32 inputLen, std::optional<SizeType32> maxNewTokens = std::nullopt,
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std::optional<SizeType32> endId = std::nullopt)
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: ids{std::move(ids)}
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, inputLen(inputLen)
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, maxNewTokens{maxNewTokens}
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, endId{endId}
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{
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}
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//! Mandatory parameters
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TensorConstPtr ids; // The input sequence of token ids, [inputSeqLen], on gpu
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SizeType32 inputLen; // Input length without draft tokens, increasing with generation steps
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// optional parameters
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std::optional<SizeType32> maxNewTokens; // maximum number of tokens to generate for this request
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std::optional<SizeType32> endId; // end token id
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SizeType32 generatedTokensPerEngineStep{1}; //
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TensorPtr embeddingBias; // [vocabSizePadded], on gpu
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TensorPtr badWordsList; // [2, badWordsLength] on gpu
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TensorPtr stopWordsList; // [2, stopWordsLength] on gpu
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//! Optional parameters for speculative decoding
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BufferPtr draftTokens; // [generatedTokensPerEngineStep - 1] on gpu
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std::optional<TensorPtr> draftLogits; // [generatedTokensPerEngineStep - 1, vocabSize] on gpu
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TensorPtr medusaPaths; // [maxDecodingTokens, maxPathLen], on gpu
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TensorPtr medusaTreeIds; // [maxDecodingTokens], on gpu
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std::optional<executor::LookaheadDecodingConfig> lookaheadRuntimeConfig;
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std::optional<executor::EagleConfig> eagleConfig;
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};
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} // namespace tensorrt_llm::runtime::decoder_batch
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