How does

deferred_init

affect the process?

It ders all the networking and stuff in the background (usually the part that might slow the Task initialization process)

Also, is there a way of specifying a blacklist instead of a whitelist of features?

BurlyPig26 you can while list per framework and file name, example
task = Task.init(..., auto_connect_frameworks={'pytorch' : '*.pt', 'tensorflow': ['*.h5', '*.hdf5']} )What am I missing ?

I want a blacklist of things I DONT want to report

😞 only whitelisting is currently supported
Should not be very complicated to add:
https://github.com/allegroai/clearml/blob/b24ed1937cf8a685f929aef5ac0625449d29cb69/clearml/task.py#L4096
Maybe everything that starts with exclamation is exclusion, like "!*.bin" will only skip *.bin files

BurlyPig26 if this is about Task.init delaying execution, did you check:
Task.init(..., deferred_init=True)it will execute the initialization in the background without disturbing execution.

If this is about Model auto logging, see Task.init(..., auto_connect_frameworks) you can specify per framework a wild card to log the models, or disable completely https://github.com/allegroai/clearml/blob/b24ed1937cf8a685f929aef5ac0625449d29cb69/clearml/task.py#L370

Make sense ?

How does deferred_init affect the process?
Also, is there a way of specifying a blacklist instead of a whitelist of features? Because if I only want to disable model logging then I need to disable everything and reenable all but model logging...

I want a blacklist of things I DONT want to report