nvdashboard stopped working with nvcr.io/nvidia/pytorch:22.08-py3
See original GitHub issueI have a docker file based on
FROM nvcr.io/nvidia/pytorch:22.08-py3
RUN pip3 install jupyterlab-nvdashboard jupyterlab-tensorboard-pro
Which used to work fine for a couple of month. I started rebuilding it in October and I am getting the pannels to show up but no gpus metric appear. also and 500 internal error as show below.
I also tested the latest
pip install --upgrade --pre jupyterlab-nvdashboard
but no luck- using different base as
FROM nvcr.io/nvidia/pytorch:22.09-py3
but still same error
Issue Analytics
- State:
- Created 10 months ago
- Reactions:2
- Comments:12 (2 by maintainers)
Top Results From Across the Web
Unable to start nvdashboard · Issue #31 - GitHub
I have been able to reproduce this on a machine without a GPU or any NVIDIA drivers installed. Above this error there is...
Read more >Service 'claratrain' failed to build: jupyterlab-nvdashboard ...
Hi I'm new to Clara and trying to get it working. So I went to the github page: clara-train-examples/PyTorch/NoteBooks at master ...
Read more >JupyterLab nvdashboard failed to install in Jupyter >= 3.0 with ...
I realized the dashboard works inside JupyterLab despite jupyter labextension telling me the X validation failed. So all good.
Read more >jupyterlab-nvdashboard - PyPI
If you are seeing the frontend extension, but it is not working, check that the server extension is enabled: jupyter server extension list....
Read more >GPU Dashboards in Jupyter Lab - Medium
We are excited to announce NVDashboard, an open-source package for the real-time visualization of NVIDIA GPU metrics in interactive Jupyter ...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Thanks for your response. using
bokeh==2
broke jupyter lab completly for me. it din’t even want to start However, I managed to get it to work usingbokeh==2.4
so this worked for me asAh sorry I should’ve been more specific with my bokeh pin suggestion. Glad things are working now with
2.4.1
.I think the 500 errors you are seeing are related to #114 so I’m going to close out this issue now as resolved and open a new one to track bokeh 3 support specifically.