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https://github.com/NVIDIA/TensorRT-LLM.git
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59 lines
2.1 KiB
C++
59 lines
2.1 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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namespace tensorrt_llm::runtime
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{
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class GenerationConfig
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{
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public:
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GenerationConfig() = default;
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explicit GenerationConfig(SizeType32 batchSize, SizeType32 beamWidth, SizeType32 maxInputLength,
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std::vector<SizeType32> maxAttentionWindowVec, SizeType32 maxAttentionWindow, SizeType32 sinkTokenLength,
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SizeType32 maxSeqLength, SizeType32 inputLengthSum = SizeType32(0))
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: batchSize{batchSize}
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, beamWidth{beamWidth}
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, maxInputLength{maxInputLength}
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, maxAttentionWindowVec{maxAttentionWindowVec}
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, maxAttentionWindow{maxAttentionWindow}
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, sinkTokenLength{sinkTokenLength}
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, maxSeqLength{maxSeqLength}
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, inputLengthSum{inputLengthSum}
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{
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}
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SizeType32 batchSize{};
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SizeType32 beamWidth{};
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SizeType32 maxInputLength{};
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std::vector<SizeType32> maxAttentionWindowVec{};
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SizeType32 maxAttentionWindow{};
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SizeType32 sinkTokenLength{};
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SizeType32 maxSeqLength{};
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SizeType32 inputLengthSum{}; // Initialized only if inputPacked is set to true in fromInput.
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static GenerationConfig fromInput(ITensor const& inputIds, ITensor& inputLengths, bool inputPacked,
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SizeType32 beamWidth, std::vector<SizeType32> maxAttentionWindowVec, SizeType32 maxAttentionWindow,
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SizeType32 sinkTokenLength, SizeType32 maxSequenceLength);
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};
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} // namespace tensorrt_llm::runtime
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