TensorRT-LLMs/cpp/tensorrt_llm/layers/baseSamplingLayer.cpp
Kaiyu Xie 250d9c293d
Update TensorRT-LLM Release branch (#1445)
* Update TensorRT-LLM

---------

Co-authored-by: Bhuvanesh Sridharan <bhuvan.sridharan@gmail.com>
Co-authored-by: Morgan Funtowicz <funtowiczmo@gmail.com>
Co-authored-by: Eddie-Wang1120 <wangjinheng1120@163.com>
Co-authored-by: meghagarwal <16129366+megha95@users.noreply.github.com>
2024-04-12 17:59:19 +08:00

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