Hi @<1571308010351890432:profile|HurtAnt92> , argparse arguments are automatically connected, you do not need to connect them explicitly. They will be available under the Args section of the hyperparams, using:

task.get_parameters()

Also, how do I know if I'm running remotely or locally ?

Use this:

from clearml.config import running_remotely

if running_remotely():
  print("running remotely, not locally!")

However, note that in most cases you do not need to know if you're running locally or remotely - why do you need to know in this case?

I'm working on an existing code-base, the argparse are named opt instead of args, and the auto connection doesn't work.

I want to connect the argparse manually and load the connected argparse If I'm running on a remote machine.

How are you calling connect? can you share a snippet of the code?

training_task.connect(opt, name='opt')

And opt is the argparser?

yes

So when you connect it (and you're running remotely), it will automatically fill in the values in the parser itself

It's automatic, you don't need to get anything, simply interact with the argparser as usual (i.e. parse_args() and use the results)

It working, Thanks!