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533 × Eureka!I re-executed the experiemnt, nothing changes
What does that mean? How can I access this data?
AgitatedDove14 permanent. I want to start with a CLI interface that allows me add users to the trains server
Good, so if I'm templating something using clearml-task
(without queue, so the task is in draft mode) it will use this task? Even though it never exeucted?
the worst part of debugging this is waiting for the docker to install tensorflow each time over and over again 😞
DangerousDragonfly8 but would this work if they are not concurrent but sequential?
cool, didn't know about the PAT
So regarding 1, I'm not really sure what is the difference
When running in docker mode what is different the the regular mode? No where in the instructions is nvidia docker a prerequisite, so how exacly will tasks on GPU get executed?
I feel I don't underatand enough of the mechanism to (1) understand the difference between docker mode and not and (2) what is the use casr for each
a machine that had previous installation, but I deleted the /opt/trains
directory beforehand
I followed the upgrading still nothing
I manually deleted the allegroai/trains:latest
image, that didn't help either
sudo curl
https://raw.githubusercontent.com/allegroai/trains-server/master/docker-compose.yml -o /opt/trains/docker-compose.yml
but shouldn't the :lastest
make it redownload the right image?
Why would I have 0.15.1 if I followed the instructions of the docs?
but I can't seem to run docker-compose down
Config == conf_obj
no?
inference table is a pandas dataframe
Well done to you!
looks like it did pull the right image