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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>
92 lines
2.9 KiB
C++
92 lines
2.9 KiB
C++
/*
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* Copyright (c) 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 "lookaheadAlgorithm.h"
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#include "tensorrt_llm/common/logger.h"
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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/lookaheadModule.h"
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namespace tensorrt_llm::layers
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{
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//! \brief LookaheadDecodingLayer
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template <typename T>
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class LookaheadDecodingLayer : public BaseLayer
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{
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public:
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using Base = BaseLayer;
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using Base::mBufferManager;
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LookaheadDecodingLayer(DecoderDomain const& decoderDomain, std::shared_ptr<runtime::BufferManager> bufferManager);
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void setup(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, BufferConstPtr batchSlots,
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std::shared_ptr<BaseSetupParams> const& baseSetupParams) override;
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void forwardAsync(std::shared_ptr<BaseDecodingOutputs> const& outputParams,
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std::shared_ptr<BaseDecodingInputs> const& inputParams) override;
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void forwardSync(std::shared_ptr<BaseDecodingOutputs> const& outputParams,
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std::shared_ptr<BaseDecodingInputs> const& inputParams) override;
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//! @returns workspace needed for this layer in bytes
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[[nodiscard]] size_t getWorkspaceSize() const noexcept;
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private:
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void forwardSyncCPU(std::shared_ptr<BaseDecodingOutputs> const& outputParams,
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std::shared_ptr<BaseDecodingInputs> const& inputParams);
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void posIdsToMask(TensorPtr mask, TensorConstPtr posIds);
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private:
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using Base::mDecoderDomain;
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TensorPtr mCurandStatesDevice;
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TensorPtr mSamplingWorkspaceDevice;
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TensorPtr mTargetTokensDevice;
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TensorPtr mRandomSeedsDevice;
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TensorPtr mSamplingMaskDevice;
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struct CpuAlgorithmResources
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{
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explicit CpuAlgorithmResources(DecoderDomain const& decoderDomain);
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std::vector<LookaheadAlgorithm> mAlgos;
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TensorPtr mBatchSlots;
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TensorPtr mTargetTokens;
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TensorPtr mTokensPerStep;
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TensorPtr mEndIds;
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TensorPtr mOutputIds;
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TensorPtr mPathsOffsets;
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TensorPtr mNumNewTokens;
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TensorPtr mNumNewTokensCumSum;
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TensorPtr mNextDraftTokens;
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TensorPtr mNextDraftPosIds;
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TensorPtr mPackedMasks;
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TensorPtr mSamplingMask;
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TensorPtr mNextDraftLengths;
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TensorPtr mSequenceLengths;
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};
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std::optional<CpuAlgorithmResources> mCpuAlgo;
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};
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} // namespace tensorrt_llm::layers
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