AntsyElk37

and when i try to use --output-uri i can't pass true because obviously i can't pass a boolean only strings

hmm, that sounds right, I think we should fix that so when using --output-uri true the value that is passed is actually True, not the string "true".
Regrading the issue itself:
are you saying --skip-task-init is being ignored ? and it always adds the Task.init call? you can also pass --output-uri https://files.clear.ml (which is the same as True) , does that work?

it didn''t make a difference

this is the output of the training. it doens't try to upload (note that this is my second try so it already found a model with that name, but on my first try it didn't work either)

well it made a difference (the code for the init() is not added anymore) but it still didn't take my output uri

it was to test if reuse_last_task_id made any effect (i have the impression it doesn't)

this is the script shown by clearML ui. so the task.init call looks right

for comparison: this is when i use --output-uri

i added --skip-task-init too

and also, on the tutorials that do something with task.init, the example always talks about running locally and not in the agent

and ... clearml-agent takes a --project and a --name argument that are mandatory , so these are never taken from Task.init

(same for environment variable)

but i still think the same should be possible using the Task.init

This is the part the I find confusing:
Task.init(..., output_uri=True) is working for me, what is that setup that caused this line to "fail"?

well it doesn't fail. but whatever i set gets ignored

its as if the line is not there

this is now in my python script:

AgitatedDove14 your trick seems to work (i had to change the url to reflect the fact i run on k8s)

i set reuse_last_task_id to false to force creation of a new task in all cases

but i still think the same should be possible using the Task.init

and if you add --skip-task-init ?
I think what happens is that the clearml-Task, adds a Task.init call without the output_uri that is called before "your" Task.init, and this is what causes it to be ignored. Could that be the case?

don't know.. but i see for instance when using clearml-task i can put any (even nonsensical) values in Task.init

the model has this information ... the /tmp seem local URIs suggesting that it doesn't even try to upload them

and when i try to use --output-uri i can't pass true because obviously i can't pass a boolean only strings

hello, i'm still not able to save clearml models. They are generated and registered okay, but they are not on the fileserver. i now have Task.init(output_uri=True) and i also have --skip-task-init in clearml commandline so that it doesn't overwrite the task.init call

task = Task.init(project_name='examples', task_name='moemwap', output_uri=True, reuse_last_task_id=False)

this is my cmdline: clearml-task --name hla --requirements requirements.txt --project examples --output-uri http://clearml-fileserver:8081 --queue aws-instances --script keras_tensorboard.py

...I'm not sure I follow, the clearml-task is designed to always be used so that at the end the agent will be running the Task. What am I missing?

so it seems that it takes output_uri from the clearml commandline but not from the Task.init inside the scripot

it seems that whatever i pass to Task.init is ignored

no i don't think so, i think rather Task.init is only used for running outside of agent