Thanks AgitatedDove14 , I would love to but I’m afraid of can’t put time on it as abit busy with couple projects at this point, I will let you know when I got free to helping you on this. 🙏

AgitatedDove14 how far you are to make it presentable? what’s needs to be done , maybe I can put some efforts on it

oh great 🙏

thanks SuccessfulKoala55 , sorry that I can’t share the whole code but here is my main part
` import faulthandler
import logging

import torch
from argparse import ArgumentParser
from pytorch_lightning.callbacks import ModelCheckpoint

...

import os

from trains import Task
model_snapshots_path = 'mnt/trains'
if not os.path.exists(model_snapshots_path):
os.makedirs(model_snapshots_path)

task = Task.init(project_name='xl_trainer',
task_name='extending automagical Trains xl trianer',...

AgitatedDove14 thanks but I’m not using argparse , I’m using jsonargparse
you can see the simplified snippet here
` from jsonargparse import ArgumentParser
from trains import Task
model_snapshots_path = 'mnt/trains'
task = Task.init(project_name='examples', task_name='test argparser', output_uri=model_snapshots_path)
logger = task.get_logger()
def main(args):
print('Got args: %s' % args)
if name == 'main':
parent_parser = ArgumentParser(add_help=False)
parent...

Thanks AgitatedDove14 yes task.connect worked. about jsonargparse not sure how popular it is but in our case regular argparse didn’t work and we find out jsonargparse is working perfect. I guess will be beneficial to support that as well.