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This last solution @<1523701205467926528:profile|AgitatedDove14> proposed did the trick!
Sure @<1523701087100473344:profile|SuccessfulKoala55> ! Here it is!
I had tried adding those environment variables, but not in the agents 🙈
and then run my script from terminal normally... (in the case of the environment variable I passed it before the python command)
Hi Lema Gabriel, thank you very much for your answer. I'm just using the defaults... Should I change something in the configuration?
I'll attach my config just in case
Thanks so much for all your help @<1523701205467926528:profile|AgitatedDove14> @<1523702868694011904:profile|AbruptCow41> @<1523701087100473344:profile|SuccessfulKoala55>
AgitatedDove14 Yeah, I read that I should wait, but it's been like 3 days already... And yes, I can login with no prob!
Thanks!
Hi AgitatedDove14 , thanks for your answer! Sorry, I'll ask there!
(yes I archived and deleted everything...)
Ho CumbersomeCormorant74 , this is the message
Thanks AgitatedDove14 for your response! I cleaned everything up, started over with a fresh install, and copied the data
and config
folders, and now it's working! I'm think I didn't do anything different, so it was probably something to do with caches, as you said! Thanks again! 🙂
Hi John, thanks for your reply. All I have ran is a hyperparameter's optimization, but I deleted almost everything. it seems like something was not properly deleted.. could it be the case?
Hi Gabriel, thanks for your response! This is what I get:
Hi @<1523701087100473344:profile|SuccessfulKoala55> . I'm trying to run an optimization task, based on a previous experiment. I ran the agent like this:
clearml-agent daemon --queue my_queue -d
How does this quota works? Should I get some more credits if I free space? Or once I reached the maximum I have to wait?
The specific problem I have is this error message:
ERROR: Could not install packages due to an EnvironmentError: [Errno 28] No space left on device
clearml_agent: ERROR: Could not install task requirements!
But I'm sure I have space... I wanted to use a predefined virtualenv as a walkaround, but maybe I can fix this original problem
# ClearML SDK configuration file
api {
# Notice: 'host' is the api server (default port 8008), not the web server.
api_server:
web_server:
files_server:
# Credentials are generated using the webapp,
# Override with os environment: CLEARML_API_ACCESS_KEY / CLEARML_API_SECRET_KEY
credentials {"access_key": REMOVED, "secret_key": REMOVED}
}
sdk {
# ClearML - default SDK configuration
storage {
...
Sure AgitatedDove14 , I'll send an email to support