Installation of testresources setuptools==65.5.0 throws error

Autonomous Machines Jetson & Embedded Systems Jetson Nano
1

As part of tensorflow installation on the jetson nano as given in the link Installing TensorFlow for Jetson Platform - NVIDIA Docs
I ran the following command
sudo pip3 install -U testresources setuptools==65.5.0
It is throwing the error as
ERROR: No matching distribution found for setuptools==65.5.0

The detailed error is pasted below. Let me know what could be the problem and how it can be rectified

sudo pip3 install -U testresources setuptools==65.5.0
WARNING: pip is being invoked by an old script wrapper. This will fail in a future version of pip.
Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.
To avoid this problem you can invoke Python with ‘-m pip’ instead of running pip directly.
WARNING: The directory ‘/home/mistral/.cache/pip’ or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo’s -H flag.
Collecting testresources
Downloading testresources-2.0.1-py2.py3-none-any.whl (36 kB)
ERROR: Could not find a version that satisfies the requirement setuptools==65.5.0 (from versions: 0.6b1, 0.6b2, 0.6b3, 0.6b4, 0.6rc1, 0.6rc2, 0.6rc3, 0.6rc4, 0.6rc5, 0.6rc6, 0.6rc7, 0.6rc8, 0.6rc9, 0.6rc10, 0.6rc11, 0.7.2, 0.7.3, 0.7.4, 0.7.5, 0.7.6, 0.7.7, 0.7.8, 0.8, 0.9, 0.9.1, 0.9.2, 0.9.3, 0.9.4, 0.9.5, 0.9.6, 0.9.7, 0.9.8, 1.0, 1.1, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.1.5, 1.1.6, 1.1.7, 1.2, 1.3, 1.3.1, 1.3.2, 1.4, 1.4.1, 1.4.2, 2.0, 2.0.1, 2.0.2, 2.1, 2.1.1, 2.1.2, 2.2, 3.0, 3.0.1, 3.0.2, 3.1, 3.2, 3.3, 3.4, 3.4.1, 3.4.2, 3.4.3, 3.4.4, 3.5, 3.5.1, 3.5.2, 3.6, 3.7, 3.7.1, 3.8, 3.8.1, 4.0, 4.0.1, 5.0, 5.0.1, 5.0.2, 5.1, 5.2, 5.3, 5.4, 5.4.1, 5.4.2, 5.5, 5.5.1, 5.6, 5.7, 5.8, 6.0.1, 6.0.2, 6.1, 7.0, 8.0, 8.0.1, 8.0.2, 8.0.3, 8.0.4, 8.1, 8.2, 8.2.1, 8.3, 9.0, 9.0.1, 9.1, 10.0, 10.0.1, 10.1, 10.2, 10.2.1, 11.0, 11.1, 11.2, 11.3, 11.3.1, 12.0, 12.0.1, 12.0.2, 12.0.3, 12.0.4, 12.0.5, 12.1, 12.2, 12.3, 12.4, 13.0.1, 13.0.2, 14.0, 14.1, 14.1.1, 14.2, 14.3, 14.3.1, 15.0, 15.1, 15.2, 16.0, 17.0, 17.1, 17.1.1, 18.0, 18.0.1, 18.1, 18.2, 18.3, 18.3.1, 18.3.2, 18.4, 18.5, 18.6, 18.6.1, 18.7, 18.7.1, 18.8, 18.8.1, 19.0, 19.1, 19.1.1, 19.2, 19.3, 19.4, 19.4.1, 19.5, 19.6, 19.6.1, 19.6.2, 19.7, 20.0, 20.1, 20.1.1, 20.2.2, 20.3, 20.3.1, 20.4, 20.6.6, 20.6.7, 20.6.8, 20.7.0, 20.8.0, 20.8.1, 20.9.0, 20.10.1, 21.0.0, 21.1.0, 21.2.0, 21.2.1, 21.2.2, 22.0.0, 22.0.1, 22.0.2, 22.0.4, 22.0.5, 23.0.0, 23.1.0, 23.2.0, 23.2.1, 24.0.0, 24.0.1, 24.0.2, 24.0.3, 24.1.0, 24.1.1, 24.2.0, 24.2.1, 24.3.0, 24.3.1, 25.0.0, 25.0.1, 25.0.2, 25.1.0, 25.1.1, 25.1.2, 25.1.3, 25.1.4, 25.1.5, 25.1.6, 25.2.0, 25.3.0, 25.4.0, 26.0.0, 26.1.0, 26.1.1, 27.0.0, 27.1.0, 27.1.2, 27.2.0, 27.3.0, 27.3.1, 28.0.0, 28.1.0, 28.2.0, 28.3.0, 28.4.0, 28.5.0, 28.6.0, 28.6.1, 28.7.0, 28.7.1, 28.8.0, 28.8.1, 29.0.0, 29.0.1, 30.0.0, 30.1.0, 30.2.0, 30.2.1, 30.3.0, 30.4.0, 31.0.0, 31.0.1, 32.0.0, 32.1.0, 32.1.1, 32.1.2, 32.1.3, 32.2.0, 32.3.0, 32.3.1, 33.1.0, 33.1.1, 34.0.0, 34.0.1, 34.0.2, 34.0.3, 34.1.0, 34.1.1, 34.2.0, 34.3.0, 34.3.1, 34.3.2, 34.3.3, 34.4.0, 34.4.1, 35.0.0, 35.0.1, 35.0.2, 36.0.1, 36.1.0, 36.1.1, 36.2.0, 36.2.1, 36.2.2, 36.2.3, 36.2.4, 36.2.5, 36.2.6, 36.2.7, 36.3.0, 36.4.0, 36.5.0, 36.6.0, 36.6.1, 36.7.0, 36.7.1, 36.7.2, 36.8.0, 37.0.0, 38.0.0, 38.1.0, 38.2.0, 38.2.1, 38.2.3, 38.2.4, 38.2.5, 38.3.0, 38.4.0, 38.4.1, 38.5.0, 38.5.1, 38.5.2, 38.6.0, 38.6.1, 38.7.0, 39.0.0, 39.0.1, 39.1.0, 39.2.0, 40.0.0, 40.1.0, 40.1.1, 40.2.0, 40.3.0, 40.4.0, 40.4.1, 40.4.2, 40.4.3, 40.5.0, 40.6.0, 40.6.1, 40.6.2, 40.6.3, 40.7.0, 40.7.1, 40.7.2, 40.7.3, 40.8.0, 40.9.0, 41.0.0, 41.0.1, 41.1.0, 41.2.0, 41.3.0, 41.4.0, 41.5.0, 41.5.1, 41.6.0, 42.0.0, 42.0.1, 42.0.2, 43.0.0, 44.0.0, 44.1.0, 44.1.1, 45.0.0, 45.1.0, 45.2.0, 45.3.0, 46.0.0, 46.1.0, 46.1.1, 46.1.2, 46.1.3, 46.2.0, 46.3.0, 46.3.1, 46.4.0, 47.0.0, 47.1.0, 47.1.1, 47.2.0, 47.3.0, 47.3.1, 47.3.2, 48.0.0, 49.0.0, 49.0.1, 49.1.0, 49.1.1, 49.1.2, 49.1.3, 49.2.0, 49.2.1, 49.3.0, 49.3.1, 49.3.2, 49.4.0, 49.5.0, 49.6.0, 50.0.0, 50.0.1, 50.0.2, 50.0.3, 50.1.0, 50.2.0, 50.3.0, 50.3.1, 50.3.2, 51.0.0, 51.1.0, 51.1.0.post20201221, 51.1.1, 51.1.2, 51.2.0, 51.3.0, 51.3.1, 51.3.2, 51.3.3, 52.0.0, 53.0.0, 53.1.0, 54.0.0, 54.1.0, 54.1.1, 54.1.2, 54.1.3, 54.2.0, 56.0.0, 56.1.0, 56.2.0, 57.0.0, 57.1.0, 57.2.0, 57.3.0, 57.4.0, 57.5.0, 58.0.0, 58.0.1, 58.0.2, 58.0.3, 58.0.4, 58.1.0, 58.2.0, 58.3.0, 58.4.0, 58.5.0, 58.5.1, 58.5.2, 58.5.3, 59.0.1, 59.1.0, 59.1.1, 59.2.0, 59.3.0, 59.4.0, 59.5.0, 59.6.0)
ERROR: No matching distribution found for setuptools==65.5.0

3

Hi,

The command is for the JetPack 5 user.
For Jetson Nano which uses JetPack 4, please check the below topic:

Thanks.

5

I have installed as per the suggestions (steps) mentioned. But when I tried importing the tensor flow it gave error as

import tensorflow
Traceback (most recent call last):
File “”, line 1, in
ModuleNotFoundError: No module named ‘tensorflow’

But the tensorflow is present in this directory on my jetson nano
/home/mistral/tensorflow-2.7.0+nv22.1-cp36-cp36m-linux_aarch64.whl

Even then it is giving error while importing it

May I know what could be the reason.

6

Can anyone provide information on this. How someone has installed the tensorflow and made use on jetson nano. I am stuck without progressing.

7

Hi,

Sorry for the late update.

Do you use Python 3.6 to import the TensorFlow package?
The prebuilt package is for Python 3.6 users.

For other Python versions, you will need to build it from the source.
Thanks.

8

Yes I have used the python 3.6 only.

Thank you.