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https://github.com/NVIDIA/TensorRT-LLM.git
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50 lines
1.6 KiB
C++
50 lines
1.6 KiB
C++
/*
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* Copyright (c) 2019-2024, NVIDIA CORPORATION. All rights reserved.
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* Copyright (c) 2021, NAVER Corp. Authored by CLOVA.
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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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#include "tensorrt_llm/layers/baseSamplingLayer.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/common/memoryUtils.h"
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#include "tensorrt_llm/kernels/decodingCommon.h"
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#include "tensorrt_llm/kernels/penaltyKernels.h"
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#include "tensorrt_llm/kernels/samplingTopKKernels.h"
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#include "tensorrt_llm/layers/fillBuffers.h"
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#include <algorithm>
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using namespace tensorrt_llm::common;
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using namespace tensorrt_llm::kernels;
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namespace tensorrt_llm
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{
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namespace layers
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{
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template <typename T>
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BaseSamplingLayer<T>::BaseSamplingLayer(size_t maxBatchSize, size_t vocabSize, size_t vocabSizePadded,
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cudaStream_t stream, std::shared_ptr<IAllocator> allocator, cudaDeviceProp* prop)
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: BaseLayer(stream, std::move(allocator), prop)
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, mMaxBatchSize(maxBatchSize)
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, mVocabSize(vocabSize)
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, mVocabSizePadded(vocabSizePadded)
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{
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}
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template class BaseSamplingLayer<float>;
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template class BaseSamplingLayer<half>;
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} // namespace layers
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} // namespace tensorrt_llm
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