Convert yolov8 onnx format to tensorrt format using C++

// 
#include <iostream>
#include <memory>
#include <fstream>
#include <>
#include ""
#include ""
#include ""

class Logger : public nvinfer1::ILogger{
    void log(Severity severity, const char* msg) noexcept override {
        // suppress info-level messages
        if (severity <= Severity::kWARNING)
            std::cout << msg << std::endl;
    }
} logger;


int main(int argc, char** argv){
    if(argc !=2){
        std::cerr << "usage: ./build [onnx_file_path]" <<std::endl;
        return -1;
    }

    // Get the onnx file path    char* onnx_file_path = argv[1];

    //=======================1.Create builder================================================= Create a builder============ Create a builder============ Create a builder==========    auto builder = std::unique_ptr<nvinfer1::IBuilder>(nvinfer1::createInferBuilder(logger));
    if(!builder){
        std::cerr << "Failed to creater builder" <<std::endl;
        return -1;
    }

    //===================2.Create network=================================================== Create network=========== Create network============ Create network============ Create network============ Create network=========== Create network=========== Create network=========== Create network=========== Create network=========== Create network============ Create network=========== Create network=========== Create network=========== Create network============ Create network============ Create network============ Create network============ Create network============= Create network============= Create network============= Create network============= Create network============== Create network============== Create network=============== Create network============== Create network=============== Create network================ Create network================ Create network================ Create network======    const auto explicitBatch= 1U <<static_cast<uint32_t>(nvinfer1::NetworkDefinitionCreationFlag::kEXPLICIT_BATCH);
    auto network = std::unique_ptr<nvinfer1::INetworkDefinition>(builder->createNetworkV2(explicitBatch));
    if (!network){
        std::cout << "Failed to create network" << std::endl;
        return -1;
    }

    // =============== Create onnxparser for parsing onnx files ===============    auto parser = std::unique_ptr<nvonnxparser::IParser>(nvonnxparser::createParser(*network, logger));
    // Call onnxparser's parseFromFile method to parse onnx file    auto parsed = parser->parseFromFile(onnx_file_path, static_cast<int>(nvinfer1::ILogger::Severity::kWARNING));
    if (!parsed){
        std::cout << "Failed to parse onnx file" << std::endl;
        return -1;
    }
    // Configure network parameters    auto input = network->getInput(0);
    auto profile = builder->createOptimizationProfile();
    profile->setDimensions(input->getName(), nvinfer1::OptProfileSelector::kMIN, nvinfer1::Dims4{1, 3, 960, 960}); // Set the minimum size    profile->setDimensions(input->getName(), nvinfer1::OptProfileSelector::kOPT, nvinfer1::Dims4{1, 3, 960, 960}); // Set the optimal size    profile->setDimensions(input->getName(), nvinfer1::OptProfileSelector::kMAX, nvinfer1::Dims4{1, 3, 960, 960}); // Set the maximum size
    //================== Create config configuration=======================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================    auto config = std::unique_ptr<nvinfer1::IBuilderConfig>(builder->createBuilderConfig());
    if (!config){
        std::cout << "Failed to create config" << std::endl;
        return -1;
    }

    config->addOptimizationProfile(profile);
    // Set the accuracy, set to FP16, and set to INT8 requires an additional calibrator    config->setFlag(nvinfer1::BuilderFlag::kFP16);
    // Set the maximum batchsize    builder->setMaxBatchSize(1);
    // Set the maximum workspace    config->setMemoryPoolLimit(nvinfer1::MemoryPoolType::kWORKSPACE, 1 << 30);

    //Create a stream    auto profileStream = samplesCommon::makeCudaStream();
    if(!profileStream){
        return -1;
    }
    config->setProfileStream(*profileStream);

    // ============= Creation engine ===============    auto plan = std::unique_ptr<nvinfer1::IHostMemory>(builder->buildSerializedNetwork(*network, *config));
    if (!plan){
        std::cout << "Failed to create engine" << std::endl;
        return -1;
    }

    // ========== 5. Serialization save engine =============    std::ofstream engine_file("./", std::ios::binary);
    assert(engine_file.is_open() && "Failed to open engine file");
    engine_file.write((char *)plan->data(), plan->size());
    engine_file.close();

    std::cout << "Engine build success!" << std::endl;
    return 0;
}

cmake_minimum_required(VERSION 3.10)
project(TensorRT_Test LANGUAGES CXX CUDA)

set(CMAKE_CUDA_STANDARD 14)
set(CMAKE_CXX_STANDARD 14)

# Add header file path cuda tensorRTinclude_directories(/usr/local/cuda-11.8/include)
include_directories(/xxx/tensorRT/TensorRT-8.6.1.6/include)
include_directories(/xxx/tensorRT/TensorRT-8.6.1.6/samples/common/)

# Add library filelink_directories(/usr/local/cuda-11.8/lib64)
link_directories(/xxx/tensorRT/TensorRT-8.6.1.6/lib)

add_executable(build )
target_link_libraries(build nvinfer nvonnxparser cudart)