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43 × Eureka!or I can make comparisons inside some projects but not others
are you referring to extra_docker_shell_
scrip
t
SuccessfulKoala55 ?
and would it be possible to run it using the normal local agent?
oh right, it will try to use globals from /etc/pip.conf first and then from the virtualenv's pip.conf
I can't access the WebAPP nor ssh the server
So what changed?
We changed other bits of code, but not that one..
But maybe we are focusing on the wrong thing, the question now is why is ClearML only detecting these packages (running a different experiment than Diego)
Pillow == 8.0.1
clearml == 0.17.5
google_cloud_storage == 1.40.0
joblib == 0.17.0
numpy == 1.19.5
pandas == 1.3.1
seaborn == 0.11.0
tensorflow_gpu == 2.3.1
tqdm == 4.54.1
we'll create a minimal working example :-)
right, callbacks.py
is a file inside the repo, but is not part of the package
but the reason I said the comparison could be an issue is because I'm not being able to do comparisons of experiments
the thing is that this runs before you create the virtual environment, so then in the new environment those settings are no longer there
ok, so ClearML doesn't add all the imported packages needed to run the task to the Installed Packages, only the ones in the main script?
yes, the code is inside a git repository In the main script: from callbacks import function_plot_conf_matrix
and inside callbacks.py
of course at the beginning we have from sklearn.metrics import confusion_matrix
or something like that
oh I meant now...so after the reboot everything goes back to "normal"..except that I can't make the comparisons
so what we should do is turn pip freeze on in the clearml.conf
file?
could it be a memory issue triggered by the comparison of 3 experiments?
Worked perfectly, thanks!
I should remark that it's been working OK nonstop for 5 months already.. but yesterday and today I'm experiencing theses crashes
we are developing a model and I've built a webapp with Streamlit that let's you select the task, and you can see the confusion matrices, splits, data, and predictions on data train/val (all saved in the task), ...and also a model predict function in an image you upload
sorry, in my case it's the default mode