/* * Copyright (c) 2022-2024, NVIDIA CORPORATION. All rights reserved. * * 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 "tensorrt_llm/runtime/common.h" #include "tensorrt_llm/runtime/iTensor.h" namespace tensorrt_llm::runtime { class GenerationConfig { public: GenerationConfig() = default; explicit GenerationConfig(SizeType batchSize, SizeType beamWidth, SizeType maxInputLength, SizeType maxAttentionWindow, SizeType sinkTokenLength, SizeType maxSeqLength, SizeType inputLengthSum = SizeType(0)) : batchSize{batchSize} , beamWidth{beamWidth} , maxInputLength{maxInputLength} , maxAttentionWindow{maxAttentionWindow} , sinkTokenLength{sinkTokenLength} , maxSeqLength{maxSeqLength} , inputLengthSum{inputLengthSum} { } SizeType batchSize{}; SizeType beamWidth{}; SizeType maxInputLength{}; SizeType maxAttentionWindow{}; SizeType sinkTokenLength{}; SizeType maxSeqLength{}; SizeType inputLengthSum{}; // Initialized only if inputPacked is set to true in fromInput. static GenerationConfig fromInput(ITensor const& inputIds, ITensor& inputLengths, bool inputPacked, SizeType beamWidth, SizeType maxAttentionWindow, SizeType sinkTokenLength, SizeType maxSequenceLength); }; } // namespace tensorrt_llm::runtime