` # 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) ?
can't remember, I just restarted everything so I don't have this info now
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?
it's double weird, because also a task that the pipeline says is "in progress" is actually completed
One sec I'll paste the relevant pieces of code
Sounds like some issue with queueing the experiment. Can you provide a log of the pipeline?