might be my folder permissions hmm
That actually makes sense, also notice that if you are running under a diff user, the ~ (home folder) is different
For some reason copying over everything and making another file and running it there does not allow it to run
Not sure i follow...
you should only have one ~/clearml.conf nad from wherever you are running your code it will always read the configuration from the same file
very weird I changed to the original folder I had used to run this, and it works? For some reason copying over everything and making another file and running it there does not allow it to run
Jupyter Notebook is fully supported.
Could you try and restart the notebook kernel?
is it because it is not a python file?
so this is how i have it in my code and for some reason that does not work?
And generated a new toek on the web UI?
If cleaml-init finished it means that everyhting should be fine.
You can test it by starting python and testing:from clearml import Task Task.init('examples', 'test')
i deleted the token, then used clear ml-init to establish a connection again,
I did recreate it with the new config as well
Ohh yes, if you deleted the token then you have to recreate the cleaml.conf
BTW: no need to generate a token, it will last 🙂
seems like it, i deleted the token and made a new one incase the community one needs a new generated one since its cleaned every 24 hours
I shouldnt have had anything change from yestuday settings wise, it ran fine yesturday
I am not running via docker, through jupyter nb, but I am not usig the git method. I installed clearml-init directly onto the machine
MiniatureCrocodile39 from the screen shot I imagine you are running inside a docker, this means that when you restart the docker, the configuration file is lost.
Could that be the case ?
