By the way, since if i create the task locally, reset it and enqueue it, it works. This is the workaround that i'm using right now

Related GitHub issue https://github.com/allegroai/clearml/issues/847

AgitatedDove14 Yes exactly!

This is the full print(cfg)
` {'dataset': {'name': '<my-dataset-name>', 'path': '', 'target_shape': [128, 128]}, 'model': 'unet', 'models': {'unet': {'dim': 8, 'dim_mults': [1, 2, 4], 'num_blocks_per_stage': [2, 2, 2], 'num_self_attn_per_stage': [0, 0, 1], 'nested_unet_depths': [0, 0, 0], 'nested_unet_dim': 16, 'use_convnext': False, 'resnet_groups': 2, 'consolidate_upsample_fmaps': True, 'weight_standardize': False, 'attn_heads': 2, 'attn_dim_head': 16}}, 'train': {'accelerator': 'auto...

Yes it uses hydra and everything works fine without clearml. The script is similar to this one https://github.com/galatolofederico/lightning-template/blob/main/train.py

But not argument is passed to the scripts. Here i am printing sys.argv

When enqueued the configuration tab still shows the correct arguments