NX入门教程基础篇-查看系统和软件版本参数状态
NX入门教程基础篇-查看系统和软件版本参数状态
说明：
- 介绍如何查看NX系统和软件版本和参数
步骤：
- 查看Jetson NX L4T版本
$ head -n 1 /etc/nv_tegra_release
# R32 (release), REVISION: 4.2, GCID: 20074772, BOARD: t186ref, EABI: aarch64, DATE: Thu Apr 9 01:26:40 UTC 2020
- 查看TensorRT的版本
$ dpkg -l | grep TensorRT
ii graphsurgeon-tf 7.1.0-1+cuda10.2 arm64 GraphSurgeon for TensorRT package
ii libnvinfer-bin 7.1.0-1+cuda10.2 arm64 TensorRT binaries
ii libnvinfer-dev 7.1.0-1+cuda10.2 arm64 TensorRT development libraries and headers
ii libnvinfer-doc 7.1.0-1+cuda10.2 all TensorRT documentation
ii libnvinfer-plugin-dev 7.1.0-1+cuda10.2 arm64 TensorRT plugin libraries
ii libnvinfer-plugin7 7.1.0-1+cuda10.2 arm64 TensorRT plugin libraries
ii libnvinfer-samples 7.1.0-1+cuda10.2 all TensorRT samples
ii libnvinfer7 7.1.0-1+cuda10.2 arm64 TensorRT runtime libraries
ii libnvonnxparsers-dev 7.1.0-1+cuda10.2 arm64 TensorRT ONNX libraries
ii libnvonnxparsers7 7.1.0-1+cuda10.2 arm64 TensorRT ONNX libraries
ii libnvparsers-dev 7.1.0-1+cuda10.2 arm64 TensorRT parsers libraries
ii libnvparsers7 7.1.0-1+cuda10.2 arm64 TensorRT parsers libraries
ii nvidia-container-csv-tensorrt 7.1.0.16-1+cuda10.2 arm64 Jetpack TensorRT CSV file
ii python-libnvinfer 7.1.0-1+cuda10.2 arm64 Python bindings for TensorRT
ii python-libnvinfer-dev 7.1.0-1+cuda10.2 arm64 Python development package for TensorRT
ii python3-libnvinfer 7.1.0-1+cuda10.2 arm64 Python 3 bindings for TensorRT
ii python3-libnvinfer-dev 7.1.0-1+cuda10.2 arm64 Python 3 development package for TensorRT
ii tensorrt 7.1.0.16-1+cuda10.2 arm64 Meta package of TensorRT
ii uff-converter-tf 7.1.0-1+cuda10.2 arm64 UFF converter for TensorRT package
- 查看系统版本
$ cat /etc/lsb-release
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=18.04
DISTRIB_CODENAME=bionic
DISTRIB_DESCRIPTION="Ubuntu 18.04.4 LTS"
- 查看系统l内核：
$ uname -a
Linux ubuntu 4.9.140-tegra #1 SMP PREEMPT Wed Apr 8 18:15:20 PDT 2020 aarch64 aarch64 aarch64 GNU/Linux
- 查看内存：
$ free -m
total used free shared buff/cache available
Mem: 7763 3327 1760 326 2675 4862
Swap: 3881 40 3841
- 查看CPU
$ lscpu
Architecture: aarch64
Byte Order: Little Endian
CPU(s): 6
On-line CPU(s) list: 0,1
Off-line CPU(s) list: 2-5
Thread(s) per core: 1
Core(s) per socket: 2
Socket(s): 1
Vendor ID: Nvidia
Model: 0
Model name: ARMv8 Processor rev 0 (v8l)
Stepping: 0x0
CPU max MHz: 1907.2000
CPU min MHz: 115.2000
BogoMIPS: 62.50
L1d cache: 64K
L1i cache: 128K
L2 cache: 2048K
L3 cache: 4096K
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp
- 查看硬盘空间,已做固态启动
$ df -h
Filesystem Size Used Avail Use% Mounted on
none 3.5G 0 3.5G 0% /dev
tmpfs 3.8G 192M 3.7G 5% /dev/shm
tmpfs 3.8G 46M 3.8G 2% /run
tmpfs 5.0M 4.0K 5.0M 1% /run/lock
tmpfs 3.8G 0 3.8G 0% /sys/fs/cgroup
/dev/nvme0n1p1 234G 17G 206G 8% /
tmpfs 777M 132K 777M 1% /run/user/1000
/dev/mmcblk0p1 15G 12G 1.6G 89% /media/ubuntu/239f3029-4825-443b-972e-4392c57f5749
- 增加cuda到bashrc文件
export CUDA_HOME=/usr/local/cuda
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
export PATH=$PATH:$CUDA_HOME/bin
- 查看cuda版本
$ nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Wed_Oct_23_21:14:42_PDT_2019
Cuda compilation tools, release 10.2, V10.2.89
- 查看cudnn版本
$dpkg -l libcudnn*
Desired=Unknown/Install/Remove/Purge/Hold
| Status=Not/Inst/Conf-files/Unpacked/halF-conf/Half-inst/trig-aWait/Trig-pend
|/ Err?=(none)/Reinst-required (Status,Err: uppercase=bad)
||/ Name Version Architecture Description
+++-==============-============-============-=================================
ii libcudnn8 8.0.0.145-1+ arm64 cuDNN runtime libraries
ii libcudnn8-dev 8.0.0.145-1+ arm64 cuDNN development libraries and h
un libcudnn8-dev- <none> <none> (no description available)
ii libcudnn8-doc 8.0.0.145-1+ arm64 cuDNN documents and samples
- 查看opencv版本
$dpkg -l libopencv
Desired=Unknown/Install/Remove/Purge/Hold
| Status=Not/Inst/Conf-files/Unpacked/halF-conf/Half-inst/trig-aWait/Trig-pend
|/ Err?=(none)/Reinst-required (Status,Err: uppercase=bad)
||/ Name Version Architecture Description
+++-==============-============-============-=================================
ii libopencv 4.1.1-2-gd5a arm64 Open Computer Vision Library
- 查看python版本
$ python -V
Python 2.7.17
- 查看python3版本
$ python3 -V
Python 3.6.9
- 查看tensorrt版本
$ dpkg -l tensorrt
Desired=Unknown/Install/Remove/Purge/Hold
| Status=Not/Inst/Conf-files/Unpacked/halF-conf/Half-inst/trig-aWait/Trig-pend
|/ Err?=(none)/Reinst-required (Status,Err: uppercase=bad)
||/ Name Version Architecture Description
+++-==============-============-============-=================================
ii tensorrt 7.1.0.16-1+c arm64 Meta package of TensorRT
- 各种应用的 Sample 代码路径
CUDA /usr/local/cuda-/samples/
CUDNN /usr/src/cudnn_samples_/
OpenCV /usr/share/OpenCV/samples/
TensorRT /usr/src/tensorrt/samples/
VisionWorks /usr/share/visionworks/sources/samples/
/usr/share/visionworks-tracking/sources/samples/
/usr/share/visionworks-sfm/sources/samples/
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