jetsonhacks / jetsonutilities Goto Github PK

./jetsoninfo.py
results in

Traceback (most recent call last): File "/home/zeno/software/jetsonUtilities/jetsonInfo.py", line 22, in <module> (key, _, value) = line.partition("=") TypeError: a bytes-like object is required, not 'str'

root@zi-desktop:~/Desktop/Desktop_zi/Work/I9/Tools# git clone https://github.com/jetsonhacks/jetsonUtilities

Cloning into 'jetsonUtilities'...
remote: Enumerating objects: 108, done.
remote: Counting objects: 100% (24/24), done.
remote: Compressing objects: 100% (19/19), done.
remote: Total 108 (delta 6), reused 18 (delta 4), pack-reused 84
Receiving objects: 100% (108/108), 29.08 KiB | 620.00 KiB/s, done.
Resolving deltas: 100% (40/40), done.

root@zi-desktop:~/Desktop/Desktop_zi/Work/I9/Tools# cd jetsonUtilities

root@zi-desktop:~/Desktop/Desktop_zi/Work/I9/Tools/jetsonUtilities# python jetsonInfo.py

Traceback (most recent call last):
File "jetsonInfo.py", line 22, in
(key, _, value) = line.partition("=")
TypeError: a bytes-like object is required, not 'str'

root@zi-desktop:~/Desktop/Desktop_zi/Work/I9/Tools/jetsonUtilities# ./jetsonInfo.py

Traceback (most recent call last):
File "jetsonInfo.py", line 22, in
(key, _, value) = line.partition("=")
TypeError: a bytes-like object is required, not 'str'

root@zi-desktop:~/Desktop/Desktop_zi/Work/I9/Tools/jetsonUtilities# python

Python 3.6.9 (default, Jan 26 2021, 15:33:00)
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.

jetsonUtilities$ python jetsonInfo.py

 NVIDIA Jetson TX2
 L4T 32.4.2 [ JetPack UNKNOWN ]
 Ubuntu 18.04.4 LTS
 Kernel Version: 4.9.140-tegra
 CUDA 10.2.89

When run py jetsonInfo.py on TX2, getting
Unable to find file /etc/nv_tegra_release

What I'm missing

Thanks

Describe the issue
OpenCV 4.1.1 cmake doesn't find cuDNN when using JetPack 4.4

System

• Jetson Nano
• cmake 3.16.3
• L4T 32.4.3 [ JetPack 4.4 ]
  • Ubuntu 18.04.5 LTS
  • Kernel Version: 4.9.140-tegra
• CUDA 10.2.89
  • CUDA Architecture: 5.3
• OpenCV version: 4.1.1
  • OpenCV Cuda: NO
• CUDNN: 8.0.0.180
• TensorRT: 7.1.3.0
• Vision Works: 1.6.0.501
• VPI: 0.3.7

To Reproduce

1. Download and install the Jetson Nano SD Card image
   https://developer.nvidia.com/jetson-nano-sd-card-image
   JP 4.4 from 2020/07/07
2. optional: install cmake 3.16.3
3. Checkout this repo and run:
   ./buildOpenCV.sh |& tee openCV_build.log
   In the cmake config you can see that cuDNN -> NO is diplayed and OpenCV is built without it

Expected behavior
cuDNN -> YES is detected by cmake and OpenCV is built with cuDNN

Additional context
I was using a newer version of cmake as my build pipline requires this. So there's no issue related reason for the updated cmake version. This is likely not the cause for the error.

Possibly a known issue, since this information no longer appears in /proc/cpuinfo or lscpu.

When I run python jetsonInfo.py I see

Then I did
sudo apt install nvidia-jetpack
sudo apt show nvidia-jetpack shows

Package: nvidia-jetpack
Version: 4.5.1-b17
Priority: standard
Section: metapackages
Maintainer: NVIDIA Corporation
Installed-Size: 199 kB
Depends: nvidia-cuda (= 4.5.1-b17), nvidia-opencv (= 4.5.1-b17), nvidia-cudnn8 (= 4.5.1-b17), nvidia-tensorrt (= 4.5.1-b17), nvidia-visionworks (= 4.5.1-b17), nvidia-container (= 4.5.1-b17), nvidia-vpi (= 4.5.1-b17), nvidia-l4t-jetson-multimedia-api (>> 32.5-0), nvidia-l4t-jetson-multimedia-api (<< 32.6-0)
Homepage: http://developer.nvidia.com/jetson
Download-Size: 29.4 kB
APT-Manual-Installed: yes
APT-Sources: https://repo.download.nvidia.com/jetson/t210 r32.5/main arm64 Packages
Description: NVIDIA Jetpack Meta Package

but python jetsonInfo.py shows me same result

Hi, this happens on a fresh install of "Developer Preview of JetPack 4.4", downloaded from https://developer.nvidia.com/jetson-nano-sd-card-image, which redirects you to download a file called nv-jetson-nano-sd-card-image-r32.4.2.zip of size 5.91 GB, exactly 6,347,594,220 bytes.

When running jetsonInfo.py it says something about a TX1 although I'm running it on a Nano.
Following is ouput:

drakorg@drakorg-jetpack44:~/workspace/nspi/scripts/jetson-nano/jetsonUtilities$ sudo ./jetsonInfo.py
 NVIDIA Jetson TX1
 L4T 32.4.2 [ JetPack UNKNOWN ]
 Ubuntu 18.04.4 LTS
 Kernel Version: 4.9.140-tegra
 CUDA 10.2.89

It also states that the Jetpack version is unknown, when I would expect it to detect it as 4.4.
Thank you.
Best regards,
Eduardo