` # define pipeline
pipe = clearml.PipelineController(
name=TASK_NAME,
project=PROJECT_NAME,
version='0.0.1',
add_pipeline_tags=False,
)
pipe.set_default_execution_queue('default')

Adding steps

pipe.add_step(name=f'{start_date_train}_{end_date_train}_choose_best',
base_task_project=CHOOSE_PROJECT_NAME,
base_task_name=CHOOSE_TASK_NAME,
parameter_override=params_override,
execution_queue='default')
...
...

Execute the controlling task on a different queue

pipe.start(queue="pipelines") `

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: 2019-02-15_2021-02-04_choose_best Parameters: {**********} Configurations: None Overrides: None

and the step is "queued" or is it "queued" in the pipeline state (i.e. the visualization did not update) ?

I'll share some screenshots

Do you need other part?

queue looks empty

CostlyOstrich36

How did you call the steps in the pipeline?

Sounds like some issue with queueing the experiment. Can you provide a log of the pipeline?

the pipeline was running

but the task pending says its in the queue

One sec I'll paste the relevant pieces of code

WackyRabbit7 I might be missing something here, but the pipeline itself should be launched on the "pipelines" queue, is the pipeline itself running? or is it the step itself that is stuck in ""queued" state?

can't remember, I just restarted everything so I don't have this info now

it's double weird, because also a task that the pipeline says is "in progress" is actually completed

CostlyOstrich36

one sec