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https://github.com/NVIDIA/TensorRT-LLM.git
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bca9a33b02
* Update TensorRT-LLM --------- Co-authored-by: Timur Abishev <abishev.timur@gmail.com> Co-authored-by: MahmoudAshraf97 <hassouna97.ma@gmail.com> Co-authored-by: Saeyoon Oh <saeyoon.oh@furiosa.ai> Co-authored-by: hattizai <hattizai@gmail.com>
64 lines
2.2 KiB
C++
64 lines
2.2 KiB
C++
/*
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* Copyright (c) 2019-2024, 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 "tensorrt_llm/layers/baseLayer.h"
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#include "tensorrt_llm/layers/decodingParams.h"
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#include "tensorrt_llm/runtime/common.h"
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#include "tensorrt_llm/runtime/decodingOutput.h"
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#include <optional>
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#include <utility>
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namespace tc = tensorrt_llm::common;
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namespace tensorrt_llm::layers
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{
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template <typename T>
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class BeamSearchLayer : public BaseLayer
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{
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using Base = BaseLayer;
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public:
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BeamSearchLayer(DecoderDomain const& decoderDomain, std::shared_ptr<runtime::BufferManager> bufferManager);
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void setup(runtime::SizeType32 const batchSize, runtime::SizeType32 const beamWidth, BufferConstPtr batchSlots,
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std::shared_ptr<BaseSetupParams> const& setupParams) override;
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void forwardAsync(std::shared_ptr<BaseDecodingOutputs> const& outputs,
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std::shared_ptr<BaseDecodingInputs> const& inputs) override;
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[[nodiscard]] size_t getWorkspaceSize() const noexcept override;
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private:
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void allocateBuffer(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth);
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private:
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using Base::mDecoderDomain;
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BufferPtr mWorkspace;
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TensorPtr mDiversityRateDevice; //<! [batchSize] shaped, in device memory.
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TensorPtr mLengthPenaltyDevice; //<! [batchSize] shaped, in device memory.
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TensorPtr mEarlyStoppingDevice; //<! [batchSize] shaped, in device memory.
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TensorPtr mDiversityRateHost; //<! [batchSize] shaped, in pinned host memory.
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TensorPtr mLengthPenaltyHost; //<! [batchSize] shaped, in pinned host memory.
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TensorPtr mEarlyStoppingHost; //<! [batchSize] shaped, in pinned host memory.
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};
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} // namespace tensorrt_llm::layers
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