Forum Replies Created
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September 2, 2024 at 9:45 am in reply to: Subject: Issues with SSH Access to Fabric Nodes for Slice IDs: 34c41dad-c9f3-431 #7506
Hi Yuanjun,
I suspect the bastion keys are expired. These keys are only on your JH container and are not pushed to your VMs. Sliver keys i.e. VM keys should not be affected. The error indicated above for SSH failure indicates login to bastion server was denied and hence the suggestion.
The error observed in the multi-processing pool cleanup can be ignored. We will address that error but it should not impact regeneration of the keys. Could you please see if you are able to SSH to your VMs?
Bastion key expiry can also be verified from the portal via: Experiments -> Manage SSH Keys.
Thanks,
Komal
Hi,
Please refer to the site details to view the available GPU models. For instance, the STAR site offers RTX600 and Tesla T4 GPUs. You can verify this information at [STAR site details](https://portal.fabric-testbed.net/sites/STAR).
Thanks,
Komal
September 2, 2024 at 8:11 am in reply to: Subject: Issues with SSH Access to Fabric Nodes for Slice IDs: 34c41dad-c9f3-431 #7502Hi Yuanjun,
I suspect your bastion keys have expired. Could you please re-run the notebook to regenerate your bastion keys
jupyter-examples-rel1.7.0/configure_and_validate.ipynb
?Please let us know if you still run into errors.
Thanks,
Komal
Hi Tianrui,
Users do not have
sudo
access on the JupyterHub container. To install Python packages, please use the commandpip install <package name> --user
.Thanks,
Komal
August 29, 2024 at 12:56 pm in reply to: Unable to (consistently) reach FABNetv4Ext addresses from outside FABRIC #7483Please consider checkingthe following examples on how to use these services:
Feel free to reach out in case you run into issues or have queries.
Thanks,
Komal
August 29, 2024 at 12:25 pm in reply to: Unable to (consistently) reach FABNetv4Ext addresses from outside FABRIC #7480Hi Sourya,
You will need permission for FabNetv*Ext services to enable public connections to your VMs. This request can be made by your Project Lead. For more details, please check here!
Thanks,
KomalHi Prateek,
This looks like a bug, we have a race condition which is preventing the updates to the Slice Graph Model. I will work on addressing this. For now as a workaround, you can determine the IP Addresses via slice commander using show commands. Refer https://learn.fabric-testbed.net/knowledge-base/using-slicecommander-with-fabric/ for slice-commander usage.
Alternatively, you can get the sliver information also via
for s in slice.get_slivers():
print(s._sliver) # This is a json object will provide the needed information
Thanks,
Komal
Hi Prateek,
Could you please share your slice ID?
Thanks,
Komal
Hi Kriti,
This looks like a version mismatch for the
fabrictestbed-extensions
. Are you running into this any of the JH containers? If so, please ensure you have no entries in/home/fabric/work/fabric_config/requirements.txt
and then restart your JH container via File -> Hub Start Control Panel -> Stop My Server -> Start My Server.If you are running into this on you local environment, please consider updating to the latest fablib via
pip install fabrictestbed-extensions==1.7.3
Thanks,
Komal
Thank you, @yoursunny, for the excellent suggestion!
@Jestus,
In addition to @yoursunny’s point, the Project Lead for your project will need to request permissions to enable FabNetv*Ext services. You can find more details here.
Additionally, we recommend avoiding the use of the management interface for data transfer and instead utilizing the FABNetv4Ext/FABNetv6Ext services. Please feel free to reach out if you have any questions or comments.
Thanks,
KomalJust closing the loop here as the issue was resolved over a short zoom call.
The error message “The token is not yet valid (iat)” indicates that the token’s “issued at” (
iat
) timestamp is set in the future compared to the current time. This can happen if there is a clock discrepancy between the system where the token was generated and the system validating the token.Time on the server was behind current time, synching the clock with NTP server resolved the error.
Thanks,
Komal
Hi Yu,
I created a token and successfully validated it using the Credential Manager, but I am unable to reproduce the issue you’re experiencing. This error can sometimes occur due to stale cookies in the browser. Could you please try opening https://cm.fabric-testbed.net/ in an incognito window, then generate and validate the token? Let me know if the error persists.
Thanks,
Komal
- This reply was modified 3 months ago by Komal Thareja.
Also, could you please post queries in this channel instead https://learn.fabric-testbed.net/forums/forum/fabric-general-questions-and-discussion/
Thanks,
Komal
Hi Yuanjun,
You can check the GPU types from the portal. For example information about STAR can be found here: https://portal.fabric-testbed.net/sites/STAR
Thanks,
Komal
Hi Prateek,
I recommend setting up your own FABRIC environment on your laptop or machine to run your experiments. This approach will allow you to capture more data and reduce reliance on Jupyter Hub. Consider configuring a local Python environment for the FABRIC API as described here, and run the notebooks locally.
Thanks,
Komal
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