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* Update TensorRT-LLM --------- Co-authored-by: Puneesh Khanna <puneesh.khanna@tii.ae> Co-authored-by: Ethan Zhang <26497102+ethnzhng@users.noreply.github.com>
95 lines
3.0 KiB
C++
95 lines
3.0 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/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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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, TensorConstPtr batchSlots,
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std::shared_ptr<BaseSetupParams> const& baseSetupParams,
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std::shared_ptr<runtime::DecodingLayerWorkspace> const& workspace) override;
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void forwardAsync(std::shared_ptr<BaseDecodingOutputs> const& outputParams,
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std::shared_ptr<BaseDecodingInputs> const& inputParams,
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std::shared_ptr<runtime::DecodingLayerWorkspace> const& workspace) override;
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//! @returns workspace needed for this layer in bytes
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[[nodiscard]] size_t getWorkspaceSize() const noexcept override;
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private:
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void forwardSyncCPU(std::shared_ptr<LookaheadDecodingOutputs> const& outputs,
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std::shared_ptr<LookaheadDecodingInputs> const& inputs);
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private:
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using Base::mDecoderDomain;
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size_t mWorkspaceSize{};
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size_t mSetupWorkspaceSize{};
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TensorPtr mCurandStatesDevice;
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TensorPtr mTargetTokensDevice;
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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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std::vector<TensorPtr> mPrompts;
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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 mPathsOffsetsBatch;
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TensorPtr mNumNewTokens;
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TensorPtr mNumNewTokensCumSum;
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TensorPtr mNewTokens;
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TensorPtr mNextDraftTokens;
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TensorPtr mNextDraftPosIds;
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TensorPtr mNextDraftLengths;
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TensorPtr mSequenceLengths;
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TensorPtr mGenerationLengths;
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TensorPtr mAttentionMask;
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TensorPtr mPackedMask;
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TensorPtr mPositionOffsets;
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TensorPtr mPositionIds;
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};
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std::optional<CpuAlgorithmResources> mCpuAlgo;
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runtime::SizeType32 mGlobalSteps{0};
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};
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} // namespace tensorrt_llm::layers
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