Yes

From what I've seen, another fix would be to pass a default value to your parameters, for example: def executing_pipeline(start_date=0, end_date=0):

Yes sure, I will do that

But I've got /opt/clearml/data/fileserver/examples/.pipelines/custom pipeline logic which has a bunch of folders of old tasks

I'm not sure how I broke it 😅

This is what I've found, and there's no error that seem to come up

If I refresh, the project is still there 😕

I'm going to try deleting it using the APIClient

Yep I'm dumb, it worked. However I've launch a couple of tasks with name ='custom pipeline logic', project ='examples' and I have to delete them manually. When I try through the UI it just waits forever

But this works strangely:
` @PipelineDecorator.component(cache=False, execution_queue="default")
def get_param():
return 'hello'

@PipelineDecorator.component(cache=False, execution_queue="default")
def get_best_model(task_ids):
import ...

print('task_ids:', task_ids, type(task_ids)) # task_ids: None <class 'NoneType'>

...

@PipelineDecorator.pipeline(
name='...',
project='...',
version='0.1'
)
def pipeline_entry(task_ids: List[str], ...):
print(task_ids, typ...

Yes sure CostlyOstrich36 , I'm just trying to pass some arguments from my __main__ to my pipeline_entry() to my component get_best_model() . But for some reason, I'm getting None into get_best_model instead of what I've given it in pipeline_entry

Okay, thanks

1.7.1

CostlyOstrich36 This looks like a bug? Here's a simpler version of it and what I'm getting:
` from clearml.automation.controller import PipelineDecorator

@PipelineDecorator.component(cache=False)
def step_one(my_arg):
print('step_one/my_arg:', my_arg) # step_one/my_arg: None
# I should not get None here! At least that's what I'm expecting

@PipelineDecorator.pipeline(name='custom pipeline logic', project='examples', version='0.0.5')
def executing_pipeline(my_arg):
print('my_ar...

No sorry, I found the where the logs are. And it doesn't seem to have any errors in the logs:
` [2022-10-14 17:22:50,771] [9] [INFO] [clearml.service_repo] Returned 200 for tasks.get_all in 3ms
[2022-10-14 17:22:50,784] [9] [INFO] [clearml.service_repo] Returned 200 for tasks.get_by_id in 7ms
[2022-10-14 17:22:50,853] [9] [INFO] [clearml.service_repo] Returned 200 for events.add_batch in 182ms
[2022-10-14 17:22:50,874] [9] [INFO] [clearml.service_repo] Returned 200 for tasks.edit in 28ms
[202...

Not really, it's an Ubuntu desktop machine that I'm just updating times to times. I've also got a few pipelines running during my trainings. Do you know any tools that I could use to analyze network errors?

Do you know where I can find the logs for that?

Nothing strange in dmesg at least 😕

We've updated everything now, launched a new experiment and we're tracking the logs. I'll tell you if I find anything

My computer just did an automatic suspend, as simple as that

Found it!

Sooo for the SHA2 generation, I've tested 2 very different CPUs, and it makes a HUGE difference 😅 I probably have to upgrade my server

I wasn't able to reproduce it with a simple piece of code, I'll try to see later if I can. But what I've seen is that I was logging too many images and it was somehow missing my last reports. With fewer image logs it seems like it's working normally

Yeah I had the same issue: https://clearml.slack.com/archives/CTK20V944/p1664887550256279