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https://github.com/NVIDIA/TensorRT-LLM.git
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deaae40bd7
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
110 lines
2.9 KiB
C++
110 lines
2.9 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/common.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include <NvInferRuntime.h>
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#include <cstdint>
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#include <memory>
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#include <vector>
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namespace tensorrt_llm::runtime
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{
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class TllmRuntime
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{
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public:
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using TensorMap = StringPtrMap<ITensor>;
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explicit TllmRuntime(void const* engineData, std::size_t engineSize, nvinfer1::ILogger& logger);
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explicit TllmRuntime(nvinfer1::IHostMemory const& engineBuffer, nvinfer1::ILogger& logger)
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: TllmRuntime{engineBuffer.data(), engineBuffer.size(), logger}
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{
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}
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explicit TllmRuntime(void const* engineData, std::size_t engineSize);
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explicit TllmRuntime(nvinfer1::IHostMemory const& engineBuffer)
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: TllmRuntime{engineBuffer.data(), engineBuffer.size()}
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{
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}
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SizeType getNbContexts() const
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{
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return static_cast<SizeType>(mContexts.size());
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}
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nvinfer1::IExecutionContext& getContext(SizeType contextIndex) const
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{
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return *mContexts.at(contextIndex);
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}
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SizeType getNbProfiles() const
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{
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return static_cast<SizeType>(mEngine->getNbOptimizationProfiles());
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}
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nvinfer1::IExecutionContext& addContext(std::int32_t profileIndex);
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void clearContexts();
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void setInputTensors(SizeType contextIndex, TensorMap const& tensorMap);
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void setOutputTensors(SizeType contextIndex, TensorMap& tensorMap);
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bool executeContext(SizeType contextIndex) const;
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CudaStream const& getStream() const;
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BufferManager::CudaStreamPtr getStreamPtr()
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{
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return mStream;
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}
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nvinfer1::ICudaEngine& getEngine()
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{
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return *mEngine;
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}
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nvinfer1::ICudaEngine const& getEngine() const
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{
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return *mEngine;
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}
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BufferManager& getBufferManager()
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{
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return mBufferManager;
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}
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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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BufferManager::CudaStreamPtr mStream;
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BufferManager mBufferManager;
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std::unique_ptr<nvinfer1::IRuntime> mRuntime;
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std::unique_ptr<nvinfer1::ICudaEngine> mEngine;
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BufferManager::IBufferPtr mEngineBuffer;
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std::vector<std::unique_ptr<nvinfer1::IExecutionContext>> mContexts;
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std::unique_ptr<ITensor> mDummyTensor;
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};
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} // namespace tensorrt_llm::runtime
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