mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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92 lines
3.1 KiB
C++
92 lines
3.1 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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explicit GptDecoderBatched(CudaStreamPtr stream);
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void setup(executor::DecodingMode const& mode, SizeType32 maxNumSequences, SizeType32 maxBeamWidth,
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nvinfer1::DataType dtype, ModelConfig const& modelConfig, WorldConfig const& worldConfig) override;
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void disableLookahead(RequestVector const& genRequests, TensorPtr const& batchSlots) override;
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CudaEvent forwardAsync(
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decoder::DecoderState const& decoderState, batch_manager::DecoderInputBuffers const& input) override;
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void forward(decoder::DecoderState const& decoderState, batch_manager::DecoderInputBuffers 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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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 Calls decoders for tokens per engine step
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void forwardDispatch(decoder::DecoderState const& decoderState, batch_manager::DecoderInputBuffers 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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};
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} // namespace tensorrt_llm::runtime
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