@<1523701087100473344:profile|SuccessfulKoala55> could you help me with this please? Thanks! 😄

@<1523701087100473344:profile|SuccessfulKoala55> This is just an example. In my actual use case, the model training code developed by my team uses the logging module, so I didn’t use the task logger. Also I don’t think the task logger supports different levels of logging

Hi @<1610083512721870848:profile|CleanPelican60> , it should appear there - how are you running your code?

@<1523701087100473344:profile|SuccessfulKoala55> Thank you. How can I override this? Do you mean modifying the logging.conf file? And what settings should I change here to make my logging.info () calls show up? Sorry I’m quite new to this.

You can use the clearml.conf file, just add a section there as follows:

...

logging {
}

and change what you want

I’m running my code line by line in VSCode’s terminal. Here’s my snippet:

Wait, why are you getting the task logger and not using it?

amazing, thank you!

 from clearml import Task
import logging

task = Task.init(
    project_name='abc',
    task_name='abc',
    output_uri=True,  # Does not upload anywhere.
)


logger = task.get_logger()

logging.info('This does not show up')
logging.error('This does show up')

I see. The ClearML module, when loaded, reconfigures the Python logging module - default configuration is in the ClearML logging section of the configuration (see here ). You can try to override parts of it.