Exception in dataloader.py about joligen

[beniz]

Hi @hsleiman1 yes it is known "error" that occurs at startup. We investigated it multiple times and it seems to be due to a filesystem temporary file lock.

However, it does not prevent training, as the dataloader has multiple workers. So in practice and until we find how to work around it, you can consider it as a warning that has no incidence on the training run.

If it does prevent the training, please let us know.

[beniz]

--G_netG unet_256

As a side note, our multimodal training runs on this dataset did use a segformer_attn_conv here instead.

[hsleiman1]

Thank you @beniz. Actually I added --G_netG unet_256 following the warning: base_options.py:951: UserWarning: ResNet encoder/decoder architectures do not mix well with multimodal training, use segformer or unet instead, so I used unet. I've modified with --G_netG segformer_attn_conv and the training has started. Thanks!