进入TensorRT-7.2.3.4\data\mnist 目录,执行python download_pgms.py; 进入TensorRT-7.2.3.4\bin,用cmd执行,sample_mnist.exe --datadir=d:\path\to\TensorRT-7.0.0.11\data\mnist\; 执行成功则说明tensorRT 配置成功; 四、可能存在的问题 Q:fatal error C1083: 无法打开包括文件: “cuda_runtime.h”: No s...
打开VS工程属性,将目标平台版本改成8.1以及平台工具及改成Visual Studio2015(v140)。然后用Release编译,这样你就会在F:\TensorRT-6.0.1.5\bin下面生成一个sample_mnist.exe了。 sampleMNIST工程属性 进入F:\TensorRT-6.0.1.5\data\mnist文件夹,打开里面的README.md,下载MNIST数据集到这个文件夹下并解压,实际上只用...
std::cout << "Usage: ./sample_onnx_mnist [-h or --help] [-d or --datadir=<path to data directory>] [--useDLACore=<int>]\n"; std::cout << "--help Display help information\n"; std::cout << "--datadir Specify path to a data directory, overriding the default. This optio...
Command: ./sample_mnist [-h or --help] [-d=/path/to/data/dir or --datadir=/path/to/data/dir] #include "argsParser.h" #include "buffers.h" #include "common.h" #include "logger.h" #include "NvCaffeParser.h" #include "NvInfer.h" #include <algorithm> #include <cassert> #...
usingnamespacenvinfer1;usingnamespacenvonnxparser;usingnamespacesample; intmain(intargc,char** argv){// Create builderLogger m_logger;IBuilder* builder = createInferBuilder(m_logger);constautoexplicitBatch =1U<<static_cast<uint32_t>(NetworkDefin...
("-d", "--datadir", help="Location of the TensorRT sample data directory, and any additional data directories.", action="append", default=[kDEFAULT_DATA_ROOT]) args, _ = parser.parse_known_args() def get_data_path(data_dir): # If the subfolder exists, append it to the path, ...
ForTorch TensorRT ,拉动NVIDIA PyTorch 容器,安装了 TensorRT 和火炬 TensorRT 。要继续,请使用sample。有关更多示例,请访问Torch-TensorRTGitHub repo 。 #is the yy:mm for the publishing tag for NVIDIA's Pytorch # container; eg. 21.12 docker run -it --gpus all -v /path/to/this/folder:/resnet...
首先我们修改一段官方的Sample(sampleOnnxMNIST),大概步骤是使用ONNX-TensorRT转换工具将ONNX模型进行转换,然后使用TensorRT构建模型并运行起来。 省略掉代码中的其他的部分(想看完整的代码可以直接查看官方的例子),这里只展示了修改后的main函数的部分内容:
ForTorch TensorRT ,拉动NVIDIA PyTorch 容器,安装了 TensorRT 和火炬 TensorRT 。要继续,请使用sample。有关更多示例,请访问Torch-TensorRTGitHub repo 。 # <xx.xx> is the yy:mm for the publishing tag for NVIDIA's Pytorch # container; eg. 21.12 docker run -it --gpus all -v /path/to/t...
It includes the sources for TensorRT plugins and ONNX parser, as well as sample applications demonstrating usage and capabilities of the TensorRT platform. These open source software components are a subset of the TensorRT General Availability (GA) release with some extensions and bug-fixes. For ...