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e06f537e08
* Update TensorRT-LLM --------- Co-authored-by: erenup <ping.nie@pku.edu.cn> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
60 lines
1.6 KiB
C++
60 lines
1.6 KiB
C++
/*
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* Copyright (c) 2020-2023, 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 <cuda_fp16.h>
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/kernels/penaltyTypes.h"
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namespace tensorrt_llm
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{
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namespace kernels
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{
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template <typename T>
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struct InvokeBatchApplyPenaltyParams
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{
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T* logits;
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const T* biases;
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int* penaltyWorkspace;
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const int* penaltyWorkspacePrev;
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const float* temperatures;
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const float* repetitionPenalties;
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const float* presencePenalties;
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const float* frequencyPenalties;
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const bool accumulateVocab;
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const size_t batchSize;
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const int beamWidth;
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const int maxSeqLen;
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const size_t vocabSize;
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const size_t vocabSizePadded;
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const int** outputIdsPtr;
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const int** parentIdsPtr;
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const int* inputLengths;
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const int* sequenceLengths;
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const int* minLengths;
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const int* endIds;
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const int* batchSlots;
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cudaStream_t stream;
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};
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template <typename T>
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void invokeBatchApplyPenalty(const InvokeBatchApplyPenaltyParams<T>& params);
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} // namespace kernels
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} // namespace tensorrt_llm
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