Thank you for the quick replies!
I might do it the wrong way but the above snippet of code is the additional clearml.conf
file I add to the AWS autoscaler. Should I add a complete clearml.conf file to it?
That is a good question @<1537605940121964544:profile|EnthusiasticShrimp49> ! I am not sure the image has python 3.9. I tried to check it but did not find the answer. I am using the following AMI: AWS Deep Learning AMI (Ubuntu 18.04) with Support by Terracloudx
(Nvidia deep learning AMI). For the docker image, I am using the base one. What parameters should I modify to change the python version?
@<1523701070390366208:profile|CostlyOstrich36> The base docker image of the AWS autoscaler is nvidia/cuda:10.2-runtime-ubuntu18.04
. According to me, the python version is not set inside the image, but I am might be wrong and it could be the problem indeed... ?
Hi @<1556812486840160256:profile|SuccessfulRaven86> , can you please add an example configuration that reproduces this?
Do you know whether the agent VM/image has python 3.9 installed ? Also, you emphasised that this happens when setting the package manager to poetry, does it mean this issue doesn’t happen when leaving package manager settings to default values ?
@<1556812486840160256:profile|SuccessfulRaven86> , what is the base docker image you mention? Did you check that this docker has python 3.9?