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d8b408e6dc
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
62 lines
1.9 KiB
C++
62 lines
1.9 KiB
C++
/*
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* Copyright (c) 2022-2023, 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 <optional>
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#include <vector>
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namespace tensorrt_llm::runtime
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{
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class SamplingConfig
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{
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using FloatType = float;
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template <typename T>
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using OptVec = std::optional<std::vector<T>>;
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public:
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explicit SamplingConfig(SizeType beamWidth = 1)
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: beamWidth{beamWidth}
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{
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}
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SizeType beamWidth;
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OptVec<FloatType> temperature; // [1] or [batch_size] on cpu
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OptVec<SizeType> minLength; // [1] or [batch_size] on cpu
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// repetitionPenalty and presencePenalty are mutually exclusive.
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OptVec<FloatType> repetitionPenalty; // [1] or [batch_size] on cpu
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OptVec<FloatType> presencePenalty; // [1] or [batch_size] on cpu
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// sampling layers
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OptVec<SizeType> topK; // [1] or [batch_size] on cpu
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OptVec<FloatType> topP; // [1] or [batch_size] on cpu
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OptVec<unsigned long long> randomSeed; // [1] or [batch_size] on cpu
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OptVec<FloatType> topPDecay; // [batch_size], must between [0, 1]
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OptVec<FloatType> topPMin; // [batch_size], must between [0, 1]
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OptVec<SizeType> topPResetIds; // [batch_size]
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// beam search layer
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OptVec<FloatType> beamSearchDiversityRate;
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OptVec<FloatType> lengthPenalty;
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};
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} // namespace tensorrt_llm::runtime
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