mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
75495730bc
This reverts commit 3ee4332fb1.
Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
112 lines
3.9 KiB
C++
112 lines
3.9 KiB
C++
/*
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* Copyright (c) 2022-2024, 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/runtime/bufferManager.h"
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#include "tensorrt_llm/runtime/cudaEvent.h"
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#include "tensorrt_llm/runtime/cudaStream.h"
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#include "tensorrt_llm/runtime/decoderState.h"
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#include "tensorrt_llm/runtime/gptDecoder.h"
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#include "tensorrt_llm/runtime/iGptDecoderBatched.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include "tensorrt_llm/runtime/worldConfig.h"
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#include <memory>
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#include <vector>
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namespace tensorrt_llm::batch_manager
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{
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class LlmRequest;
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} // namespace tensorrt_llm::batch_manager
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namespace tensorrt_llm::runtime
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{
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//! GPT decoder class with support for in-flight batching
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class GptDecoderBatched : public IGptDecoderBatched
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{
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public:
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using CudaStreamPtr = std::shared_ptr<CudaStream>;
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using LlmRequestPtr = std::shared_ptr<tensorrt_llm::batch_manager::LlmRequest>;
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using RequestVector = std::vector<LlmRequestPtr>;
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using TensorPtr = ITensor::SharedPtr;
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using SharedConstPtr = ITensor::SharedConstPtr;
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GptDecoderBatched(
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CudaStreamPtr stream, SpeculativeDecodingMode const& speculativeDecodingMode, nvinfer1::DataType dtype);
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void setup(executor::DecodingMode const& mode, SizeType32 maxBatchSize, SizeType32 maxBeamWidth,
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SizeType32 maxAttentionWindow, SizeType32 sinkTokenLength, SizeType32 maxSequenceLength,
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SizeType32 maxTokensPerStep, nvinfer1::DataType dtype, ModelConfig const& modelConfig,
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WorldConfig const& worldConfig) override;
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void disableLookahead(
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SizeType32 maxBatchSize, RequestVector const& genRequests, TensorPtr const& batchSlots) override;
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DecoderFinishedEventPtr forwardAsync(decoder_batch::Output& output, decoder_batch::Input const& input) override;
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void forward(decoder_batch::Output& output, decoder_batch::Input const& input) override;
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//! @brief Gather final beam search results for request `batchSlot`.
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//! Result will only be available after event returned.
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[[nodiscard]] CudaEvent finalize(decoder::DecoderState const& decoderState, SizeType32 batchSlot,
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SamplingConfig const& samplingConfig, bool streaming) const override;
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decoder::DecoderState& getDecoderState() const
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{
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return *mDecoderState;
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}
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CudaStreamPtr getDecoderStream() const
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{
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return mDecoderStream;
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}
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IGptDecoder& getUnderlyingDecoder() const
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{
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return *mDecoder.get();
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}
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[[nodiscard]] BufferManager const& getBufferManager() const
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{
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return mBufferManager;
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}
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private:
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//! @brief Sets inputs for explicit draft tokens.
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void setExplicitDraftTokensInputs(decoder_batch::Input const& input);
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//! @brief Sets inputs for eagle decoding.
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void setEagleInputs(decoder_batch::Input const& input);
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//! @brief Calls decoders for tokens per engine step
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void forwardDispatch(decoder_batch::Output& output, decoder_batch::Input const& input);
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//! @brief Prepare Input and Output for decoder step
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void prepareForward(SizeType32 step, decoder_batch::Output& output, decoder_batch::Input const& input);
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private:
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CudaStreamPtr mRuntimeStream;
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CudaStreamPtr mDecoderStream;
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BufferManager mBufferManager;
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using GptDecoderPtr = std::unique_ptr<IGptDecoder>;
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GptDecoderPtr mDecoder;
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std::shared_ptr<decoder::DecoderState> mDecoderState;
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};
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} // namespace tensorrt_llm::runtime
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