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5955b8afba
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
90 lines
2.8 KiB
C++
90 lines
2.8 KiB
C++
/*
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* Copyright (c) 2019-2023, 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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#pragma once
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#include "tensorrt_llm/common/tensor.h"
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#include "tensorrt_llm/kernels/decodingCommon.h"
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#include "tensorrt_llm/layers/baseSamplingLayer.h"
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namespace tc = tensorrt_llm::common;
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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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//! \brief Layer to randomly sample tokens from TopP logits.
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template <typename T>
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class TopPSamplingLayer : public BaseSamplingLayer<T>
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{
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public:
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using Base = BaseSamplingLayer<T>;
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using SetupParams = typename Base::SetupParams;
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TopPSamplingLayer(std::size_t maxBatchSize, std::size_t vocabSize, std::size_t vocabSizePadded, cudaStream_t stream,
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std::shared_ptr<tensorrt_llm::common::IAllocator> allocator, cudaDeviceProp* prop, bool isDeterministic = true);
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TopPSamplingLayer(TopPSamplingLayer<T> const& top_p_sampling_layer);
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~TopPSamplingLayer();
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void setup(std::size_t batchSize, int const* batch_slots, SetupParams const& setupParams) override;
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protected:
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void runSampling(DecodingOutputParams& outputs, DecodingParams const& inputs) override;
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void freeBuffer() override;
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protected:
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uint32_t* runtime_top_k_buf_ = nullptr;
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float* runtime_top_p_buf_ = nullptr;
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float mRuntimeMaxTopP;
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float* initial_top_p_buf_ = nullptr;
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float* top_p_decay_buf_ = nullptr;
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float* top_p_min_buf_ = nullptr;
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int32_t* top_p_reset_ids_buf_ = nullptr;
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void* setup_workspace_buf_ = nullptr;
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int32_t* topp_id_vals_buf_ = nullptr;
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int32_t* topp_offset_buf_ = nullptr;
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int32_t* begin_topp_offset_buf_ = nullptr;
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std::size_t cub_temp_storage_size_;
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bool is_deterministic_ = true;
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int air_topp_block_num_;
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using Base::mMaxBatchSize;
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using Base::mVocabSize;
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using Base::mVocabSizePadded;
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using Base::mSamplingWorkspaceSize;
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using Base::mSamplingWorkspaceDevice;
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using Base::mCurandStatesDevice;
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using Base::mSkipDecodeDevice;
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using Base::mSkipDecodeHost;
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using Base::mSkipAny;
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using Base::mRuntimeLogitsDevice;
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using Base::mStream;
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using Base::mAllocator;
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using Base::mIsAllocateBuffer;
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using Base::mCudaDeviceProp;
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private:
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void allocateBuffer(std::size_t batchSize);
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};
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} // namespace layers
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} // namespace tensorrt_llm
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