To run the notebook, I do the following
export PATH=$PATH:/home/pryntec/.local/bin
export WORKON_HOME=~/Envs
export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3
source $HOME/.local/bin/virtualenvwrapper.sh
workon launcher
Then,
pip show nvidia-tao
gives the new version
Name: nvidia-tao
Version: 0.1.24
Summary: NVIDIA’s Launcher for TAO Toolkit.
Home-page:
Author: Varun Praveen
Author-email: vpraveen@nvidia.com
License: NVIDIA Proprietary Software
Location: /home/pryntec/Envs/launcher/lib/python3.8/site-packages
Requires: docker, six, tabulate
Required-by:
and I have the following docker images available
REPOSITORY TAG IMAGE ID CREATED SIZE
nvcr.io/nvidia/tao/tao-toolkit-tf v3.22.05-tf1.15.5-py3 b85103564252 5 weeks ago 11.7GB
nvcr.io/nvidia/tao/tao-toolkit-tf v3.22.05-tf1.15.4-py3 ca92a571a959 5 weeks ago 16.1GB
nvcr.io/nvidia/tao/tao-toolkit-tf v3.21.11-tf1.15.4-py3 fadbda32c62f 7 months ago 16.1GB
hello-world latest feb5d9fea6a5 9 months ago 13.3kB
nvidia/cuda 11.0-base 2ec708416bb8 22 months ago 122MB
However, when I run the docker image that you suggest,
docker run --runtime=nvidia -it --rm nvcr.io/nvidia/tao/tao-toolkit-tf:v3.22.05-tf1.15.4-py3 /bin/bash
I get the following error at the end of the extraction process
chmod: cannot access ‘/opt/ngccli/ngc’: No such file or directory
which is supposed to be solved by the nvidia-tao update. I need to run
docker run --runtime=nvidia -it --rm --entrypoint “” nvcr.io/nvidia/tao/tao-toolkit-tf:v3.22.05-tf1.15.4-py3 /bin/bash
to remove the error. Is that normal ?
Moreover, in the notebook, how can I check the current docker image that is running ? (to check that tf1.15.4 is running and not tf15.5)
Thanks