mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
4bb65f216f
* Update TensorRT-LLM --------- Co-authored-by: meghagarwal <16129366+megha95@users.noreply.github.com> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
81 lines
2.5 KiB
C++
81 lines
2.5 KiB
C++
/*
|
|
* 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.
|
|
*/
|
|
|
|
#pragma once
|
|
|
|
#include "tensorrt_llm/common/memoryUtils.h"
|
|
#include "tensorrt_llm/common/tensor.h"
|
|
#include "tensorrt_llm/kernels/decodingCommon.h"
|
|
#include "tensorrt_llm/layers/baseSamplingLayer.h"
|
|
|
|
namespace tensorrt_llm
|
|
{
|
|
namespace layers
|
|
{
|
|
|
|
//! \brief Layer to randomly sample tokens from TopK logits.
|
|
//! When both TopK and TopP are specified, layer jointly samples using TopK and TopP.
|
|
//! When no TopK param is specified, sampling is skipped for particular request.
|
|
template <typename T>
|
|
class TopKSamplingLayer : public BaseSamplingLayer<T>
|
|
{
|
|
public:
|
|
using Base = BaseSamplingLayer<T>;
|
|
using SetupParams = typename Base::SetupParams;
|
|
using ForwardParams = typename Base::ForwardParams;
|
|
|
|
TopKSamplingLayer(size_t maxBatchSize, size_t vocabSize, size_t vocabSizePadded, cudaStream_t stream,
|
|
std::shared_ptr<tensorrt_llm::common::IAllocator> allocator);
|
|
~TopKSamplingLayer();
|
|
|
|
void setup(size_t batchSize, int32_t const* batchSlots, SetupParams const& setupParams) override;
|
|
void forward(DecodingOutputParams& outputs, ForwardParams& inputs) override;
|
|
|
|
bool const* getSkipDecodeHost() const
|
|
{
|
|
return mSkipDecodeHost;
|
|
}
|
|
|
|
protected:
|
|
bool mNormalizeLogProbs = true;
|
|
uint32_t mRuntimeMaxTopK = 0;
|
|
uint32_t* mRuntimeTopKDevice = nullptr;
|
|
float* mRuntimeTopPDevice = nullptr;
|
|
void* mSetupWorkspaceDevice = nullptr;
|
|
bool* mSkipDecodeDevice = nullptr;
|
|
bool* mSkipDecodeHost = nullptr;
|
|
|
|
using Base::mMaxBatchSize;
|
|
using Base::mVocabSize;
|
|
using Base::mVocabSizePadded;
|
|
|
|
using Base::mSamplingWorkspaceSize;
|
|
using Base::mAllocatedSize;
|
|
|
|
using Base::mStream;
|
|
using Base::mAllocator;
|
|
|
|
static constexpr uint32_t TOP_K_MAX = 1024;
|
|
|
|
private:
|
|
void allocateBuffer(size_t batchSize);
|
|
void freeBuffer();
|
|
};
|
|
|
|
} // namespace layers
|
|
} // namespace tensorrt_llm
|