Understood.
So I have already sent you the only config.json that still exists, but here it is again:
Please advise
Understood.
So I have already sent you the only config.json that still exists, but here it is again:
Please advise
So, can you run below successfully now?
$ docker run --runtime=nvidia -it --entrypoint=""
-p 8888:8888 --rm -v /var/run/docker.sock:/var/run/docker.sock -v yourlocal_folder_where_store_notebook:/test
nvcr.io/nvidia/tao/tao-toolkit-tf:v3.22.05-tf1.15.5-py3 /bin/bash
Hi again
I have read’ Chmod: cannot access ‘/opt/ngccli/ngc’: No such file or directory - #2 by Morganh’
I have followed the approach 2
However there is an error in the path:
’ lib/python3.6/site-packages/tao/components/docker_handler/docker_handler.py’
on my machine at least it should read
lib/python3.6/site-packages/tlt/components/docker_handler/docker_handler.py
approach 2 was simple to implement (after error was found)
approach 1 just scrambled my brain
I am back in the notebook
The notebook cannot find pip3
62 exchanges later can we pick it up here?
How do I install pip3 in the notebook?
please, thank you
No, you need not use the workaround(approach 2) now. We already provide the fix. If you run tao launcher instead of “docker run”, just need to update the wheel.
$ pip3 install nvidia-tao==0.1.24
‘Requirement already satisfied’
tao list shows:
How do I install or import or download pip3 into the Jupyter notebook?
I still suggest you to figure out why you cannot find pip3 in notebook. Actually other users do not have this issue.
See below screenshot you shared previously.
Can you activate the conda
environment that you have just created.
$ conda activate launcher
then,
$ pip3 install nvidia-tao
then, trigger notebook
$ jupyter notebook --ip 0.0.0.0 --allow-root --port 8888
Please advise
$ which jupyter
Solved
Very glad to know that you get it working now!
It is a good case in case other users meet the same error in future.
Hi again Morganh.
I am concerned that running the next cell throws a type error relating to its own code. Is it possible that some recent updates have only been partially implemented? This notebook appears to be quite buggy.
I can open this new point in another thread, but this seems to relate to the notebook only. And I had to rewrite notebook code to solve the above issue.
I think you forget to run one cell above. The DATA_DIR should be defined.
Can you exit the notebook and follow TAO Toolkit Quick Start Guide — TAO Toolkit 3.22.05 documentation to install jupyter again?
As mentioned in user guide,
pip3 install jupyter
jupyter notebook --ip 0.0.0.0 --allow-root --port 8888
I have no idea why your “jupyter” bin file locates at /snap/bin/
Everytime you trigger notebook, it is needed to run the cells which set env.
If you are not sure one env, you can make a new cell to check.
For example,
!echo $DATA_DIR
Thanks, that did it.