The console output in the UI says done but the pipeline is still “running”

You might have to setup a service (systemd) etc

I just want to change git remote like https://gitserver.com/path/to.git -> mailto:git@gitserver.com :path/to.git

don’t know what’s happening there

Any idea why the Pipeline Controller is Running despite the task passing?

Optuna

Ok so that’s nothing more than what I would configured in the clearml config then

In params:

parameter_override={'General/dataset_urlWhat’s the General for?

Cool, didn't know it was disabled. This exact reason was why I created a wrapper over ClearML for my use so that people don't ever accidentally talk to demo server

Ah ok there’s only optimizer.stop in the example

just that the task itself is still Running state

I use a custom helm chart and terraform helm provider for these things

Something like:

with Task() as t: #train

Thanks

Got it thanks TimelyPenguin76 .

Yeah got it

Or WARNING should be param not found, but using General/param etc

And exact output after the package install and stuff:

Environment setup completed successfully Starting Task Execution: None

Thanks

I am going to be experimenting a bit as well, will get back on this topic in a couple of weeks 🙂

Also is there a way to disable pytorch like this from clearml.conf?

AgitatedDove14 - i am disabling pytorch like above but still see auto models . I even see model import when running evaluation from a loaded model

This one - https://github.com/allegroai/clearml/blob/master/examples/optimization/hyper-parameter-optimization/hyper_parameter_optimizer.py

Which would also mean that the system knows which datasets are used in which pipelines etc

no task.close()

` if project_name is None and Task.current_task() is not None:
project_name = Task.current_task().get_project_name()

if project_name is None and not Task.running_locally():
task = Task.init()
project_name = task.get_project_name() `

OK i found what’s happening:

I had an additional Task.init() - just the blank one, to get the project name. Adding the disable to that as well fixed the issue

The job itself doesn’t have any other param

AgitatedDove14 - just saw about start_remotely - https://clear.ml/docs/latest/docs/references/sdk/automation_controller_pipelinecontroller#start_remotely

This means the services agent will take care of taking it to completion right?

AgitatedDove14 - any thoughts?