五分钟搞定VS2017+TensorRT环境搭建

Windows10系统
GTX1050Ti
CUDA10.x
VS2017
TensorRT7.0.0.11

https://developer.nvidia.com/TensorRT

D:\TensorRT-7.0.0.11

D:\TensorRT-7.0.0.11\include

D:\TensorRT-7.0.0.11\lib

myelin64_1.lib
nvinfer.lib
nvinfer_plugin.lib
nvonnxparser.lib
nvparsers.lib

D:\TensorRT-7.0.0.11\lib

#include <fstream>
#include <iostream>
#include <sstream>

#include "NvInfer.h"
#include "NvOnnxParser.h"

using namespace nvinfer1;
using namespace nvonnxparser;

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

int main(int argc, char** argv) {
    std::string onnx_filename = "D:/python/pytorch_tutorial/cnn_mnist.onnx";
    IBuilder* builder = createInferBuilder(gLogger);
    nvinfer1::INetworkDefinition* network = builder->createNetworkV2(1U << static_cast<uint32_t>(NetworkDefinitionCreationFlag::kEXPLICIT_BATCH));
    auto parser = nvonnxparser::createParser(*network, gLogger);
    parser->parseFromFile(onnx_filename.c_str(), 2);
    for (int i = 0; i < parser->getNbErrors(); ++i)
    {
        std::cout << parser->getError(i)->desc() << std::endl;
    }
    printf("tensorRT load onnx mnist model...\n");
    return 0;
}

https://www.bilibili.com/video/BV1Bf4y167Ty