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4bb65f216f
* Update TensorRT-LLM --------- Co-authored-by: meghagarwal <16129366+megha95@users.noreply.github.com> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
64 lines
2.0 KiB
C++
64 lines
2.0 KiB
C++
/*
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* Copyright (c) 2020-2024, 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 <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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#include "tensorrt_llm/runtime/common.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 const* const* inputLogits;
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T* outputLogits;
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T const* biases;
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runtime::TokenIdType* penaltyWorkspace;
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runtime::TokenIdType const* penaltyWorkspacePrev;
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float const* temperatures;
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float const* repetitionPenalties;
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float const* presencePenalties;
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float const* frequencyPenalties;
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bool const accumulateVocab;
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size_t const batchSize;
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runtime::SizeType const beamWidth;
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runtime::SizeType const maxSeqLen;
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size_t const vocabSize;
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size_t const vocabSizePadded;
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runtime::TokenIdType const** outputIdsPtr;
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runtime::SizeType const** parentIdsPtr;
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runtime::SizeType const* inputLengths;
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runtime::SizeType const* sequenceLengths;
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runtime::SizeType const* minLengths;
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runtime::TokenIdType const* endIds;
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runtime::SizeType const* batchSlots;
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runtime::SizeType const maxTokensPerStep;
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runtime::SizeType const* tokensPerStep;
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cudaStream_t stream;
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};
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template <typename T>
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void invokeBatchApplyPenalty(InvokeBatchApplyPenaltyParams<T> const& params);
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} // namespace kernels
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} // namespace tensorrt_llm
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