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When using the pre-trained models (both grover_base.pt and grover_large.pg) and trying to predict fingerprints for bbbp.csv example dataset the following error is raised saying that the args.dropout field is not found in the state['args']:
The text was updated successfully, but these errors were encountered:
I found this Bug. Therefore, I added 2 lines at 36 line in grover/model/models.py.
if args.backbone == "gtrans" or args.backbone == "dualtrans":
# dualtrans is the old name.
## Add these lines
if not hasattr(args, "dropout"):
args.dropout = 0
When using the pre-trained models (both grover_base.pt and grover_large.pg) and trying to predict fingerprints for
bbbp.csv
example dataset the following error is raised saying that theargs.dropout
field is not found in thestate['args']
:The text was updated successfully, but these errors were encountered: