ipython hangs on Auton cluster

[Chirag Nagpal]

FWIW  my recommendation is to set up your own conda environment and use the
ipython version distributed with it. this way you can easily upgrade/modify
your own python version without having to depend on the clusterwide distro

On Tue, Aug 18, 2020 at 7:23 PM Predrag Punosevac <predragp at andrew.cmu.edu>
wrote:

> I looked a bit more carefully. It could be an upstream bug. It wouldn't be
> the first time
>
> https://github.com/ipython/ipython/issues/11678
>
> You don't need ipython to run Python code. You could work and debug your
> code on your local machine and just run production code on the server. A
> typical python code is just a script starting with a shebang following with
> a path to the binaries. I fail to see how ipython could be useful for that.
> It is surely useful for the interactive work.
>
> Predrag
>
> On Tue, Aug 18, 2020 at 5:45 PM Viraj Mehta <virajm at andrew.cmu.edu> wrote:
>
>> Tried this with 3.7 and 3.8 and it still hangs. Also if it’s a good clue,
>> it doesn’t stop even if I send SIGINT or SIGQUIT. Not really sure what’s
>> going on here.
>>
>> On Aug 18, 2020, at 4:39 PM, Viraj Mehta <virajm at andrew.cmu.edu> wrote:
>>
>> Yeah, I’ll give it a shot. Thanks!
>>
>> On Aug 18, 2020, at 4:38 PM, Predrag Punosevac <predragp at andrew.cmu.edu>
>> wrote:
>>
>> I just upgraded all /opt/conda-py37 and /opt/conda-py38 packages on both
>> GPU9 and GPU11. Could you please try again? Could you also try with py38
>> which is now recommended and report back. If this works I will upgrade
>> packages across all servers. This could be potentially remotely related to
>> the fact that Ifegenia could not build TensorFlow. Another thought is that
>> the ipython SQLite database is corrupted.
>>
>> Best,
>> Predag
>>
>> On Tue, Aug 18, 2020 at 4:34 PM Viraj Mehta <virajm at andrew.cmu.edu>
>> wrote:
>>
>>> Hi Predrag,
>>>
>>> Hope you’re doing well. I’ve been running into an issue the last couple
>>> days on the Auton cluster that is blocking my work on code that used to
>>> work and was hoping to get your thoughts. I have tried to distill this down
>>> to a small but replicable issue, as seen in the attachment, which I have
>>> seen hang on the ipython call on GPU9 and GPU11 so far. Do you know why
>>> this might be? Thanks.
>>>
>>> Best,
>>> Viraj
>>
>>
>>
>>

-- 

*Chirag Nagpal* PhD Student, Auton Lab
School of Computer Science
Carnegie Mellon University
cs.cmu.edu/~chiragn
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