Hi FriendlySquid61 I did all the changes you said

👍

👍

Searched for "custom plotly" and "log plotly" in search, didn't thinkg about "report plotly"

awesome martin, thanks

I want to get the instances of the tasks executed by this controller task

Do you need other part?

Here you go

this

Continuing on this line of thought... Is it possible to call task.execute_remotely on a CPU only machine (data scientists' laptop for example) and make the agent that fetches this task to run it using GPU? I'm asking that because it is mentioned that it replicates the running environment on the task creator... which is exactly what I'm not trying to do 😄

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: `
Launching step: 2019-09-03_2021-01-25_choose_best
Parameters:
{***}
Configurations:
None
Overrides:
None
Launching step: 2019-10-23_2021-01-15_choose_best
Parameters:
{********}
Configurations:
None
Overrides:
None
Launching step: 2019-05-26_2020-12-26_choose_best
Parameters:
{******}
Configurations:
None
Overrides:
None
Launching step: 2019-07-15_2021-01-05_choose_best
Parameters:
{************}
Configurations:
None
Overrides:
None
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

I guess so

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

CostlyOstrich36 ?

the output above is what the agent has as it seems... obviously on my machine I have it installed

this is the df -h output

TimelyPenguin76 , this can safely be set to s3:// right?

SuccessfulKoala55

Done

I mean, I barely have 20 experiments

AgitatedDove14

doesn't contain the number 4

so in my code, I'll use this environment variable to read from disk

even if it is so

AgitatedDove14 clearml version on the Cleanup Service is 0.17.0

AgitatedDove14 UnevenDolphin73