Ah, probably https://github.com/allegroai/clearml/pull/534

Will try this out.

Any sneak preview? 😉 😁

Also I can't select any tasks from the dashboard search results 😞

Thanks!

I am; it seems like maybe a couple of hours?

SuccessfulKoala55 That at least did not work, unless one has to specify wildcard patterns perhaps..?

I've updated my feature request to describe that as well. A textual description is not necessarily a preview 😅 For now I'll use the debug samples.

These kind of things definitely show how ClearML was designed originally only for neural networks tbh, where images are almost always only part of the dataset. Same goes for the consistent use of iteration everywhere 😞

Hey @<1523701435869433856:profile|SmugDolphin23> , thanks for the reply! I’m aware of the caching — that’s not the issue I’m trying to resolve 🙂

Will try!

Curious - is there a temporary changelog for 1.2.0? 😁 Always fun to poke at the upcoming features

EDIT: Wait, should the clearml RC be installed outside the venv for the agent as well?

Not that I recall

Yes, as I wrote above 😄

I think you're interested in the Monitor class:)

Perfect now 👌 (also nice cleanup of default_new_data_root duplicate code :D)

Nothing I can spot --

ClearML results page: 

ClearML pipeline page: 

Launching the next 2 steps
Launching step [...]
Launching step [...]
Launching step: ...
Parameters:
{...}
Configurations:
{}
Overrides:
{}
Launching step: ...
Parameters:
{...}
Configurations:
{}
Overrides:
{}
ClearML Monitor: GPU monitoring failed getting GPU reading, switching off GPU monitoring
2023-02-21 13:53:48
ClearML Monitor: Could not detect iteration reporting, falling back to itera...

I tried that, unfortunately it does not help 😞

One way to circumvent this btw would be to also add/use the --python flag for virtualenv

CostlyOstrich36 so internal references are not resolved somehow? Or, how should one achieve:

def my_step(): from ..utils import foo foo("bar")

I'm not sure about the intended use of connect_configuration now.
I was under the assumption that in connect_configuration(configuration, name=None, description=None) , the configuration is only used in local execution.
But when I run config = task.connect_configuration({}, name='General') (in remote execution), the configuration is set to the empty dictionary

I'm not sure, I'm not getting anything (this is the only thing I could fin that's weird about this project).
It has a space in the name, has no subprojects, and it just doesn't show up anywhere 🤔

Hmmm, what 😄

` # test_clearml.py
import pytest
import shutil
import clearml

@pytest.fixture
def clearml_task():
clearml.Task.set_offline_mode(True)
task = clearml.Task.init(project_name="test", task_name="test")
yield task
shutil.rmtree(task.get_offline_mode_folder())
clearml.Task.set_offline_mode(False)

class ClearMLTests:
def test_something(self, clearml_task):
assert True run with pytest test_clearml.py `

Yes

Let me try that real quick

Oh, well, no, but for us that would be one way solution (we didn't need to close the task before that update)

Sure! It looks like this

Does that make sense SmugDolphin23 ?

Dynamic pipelines in a notebook, so I don’t have to recreate a pipeline every time a step is changed 🤔

After the task was initialized? 🤔

Nope, no other config files

Can I query where the worker is running (IP)?