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533 × Eureka!and in the UI configuration I didn't understand where does permission management came into play
Gotcha, didn't think of an external server as Service Containers are part of Github's offering, I'll consider that
moreover, in each pipeline I have 10 different settings of task A -> Task b (and then task C), each run 1-2 fails randomly
does the services mode have a separate configuration for base image?
ClearML results page:
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Launching step: 2019-09-03_2021-01-25_choose_best
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Launching step: 2019-10-23_2021-01-15_choose_best
Parameters:
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Launching step: 2019-05-26_2020-12-26_choose_best
Parameters:
{******}
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Launching step: 2019-07-15_2021-01-05_choose_best
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Launching step...
In standard docker TimelyPenguin76 this quoting you mentioned is wrong, since the whole argument is being passed - hence the double tricky quotation I posted above
Not sure I understand, if i run pipe.start_locally(run_pipeline_steps_locally=True|False)
what is the difference betwee ntrue and false? assuming I want to execute locally
this is the df -h
output
TimelyPenguin76 , this can safely be set to s3://
right?
I mean, I barely have 20 experiments
doesn't contain the number 4
so in my code, I'll use this environment variable to read from disk
AgitatedDove14 clearml version on the Cleanup Service is 0.17.0
It's working! 😄
That's awesome, but my problem right now is that I have my own cronjob deleting the contents of /tmp
each interval, and it deletes the cfg files... So I understand I must skip deleting them from now on
So how do I solve the problem? Should I just relaunch the agents? Because they can't execute jobs now
CostlyOstrich36 so why 1000:1000? My user and group are not that and so do all the otehr files I have under /opt/clearml