TimelyPenguin76 Maybe you were able to find the problem ?
I don't remember what was the solution.
Might just updated my ClearML version...

It's a private image (based off of this image).
` ======================================
Welcome to the Google Deep Learning VM

Version: pytorch-gpu.1-11.m91
Based on: Debian GNU/Linux 10 (buster) (GNU/Linux 4.19.0-21-cloud-amd64 x86_64\n) `I am leaving the docker line empty, so I assume there's no docker spun up for my agent,

Ok, seems like the problem is solved.
These uncommited changes were already applied to the local branch, but the git apply error wasn't very informative.

Thanks!

Should note that it works when i run the container locally (with no external env variables).

+1 for this 🙂

Update:
Manged to make the credentials attached to the configuration when the task is spinned,
Although boto3 in the script still uses the "default" access keys instead of the newly added keys

as a followup on this one @<1523701070390366208:profile|CostlyOstrich36> .
how do I make my agent install python 3.9 and not 3.7?

agent.default_python: 3.9
agent.python_binary: 3.9

but getting in the task:

Python executable with version '3.9' requested by the Task, not found in path, using '/clearml_agent_venv/bin/python3' (v3.7.3) instead

Adding the flags he added also didn't help

All machines are under my company's ownership

folder is rather small.
3.5MB
Am able to see it in the artifacts.
but can't download it (the address is wrong)

As a matter of fact, all my tasks are "running" state although some of them have failed

no, it is AWS EC2

Using an autoscaler service(on 24/7 EC2 machine)
that triggers EC2 workers (with an AMI I saved prior to activation)

Hope that helps