Abstract Class Error Message

[AhmadHammad21]

When I run either the pretraining or fine-tuning files, I get this error.
Traceback (most recent call last):
File "molclr.py", line 199, in
main()
File "molclr.py", line 195, in main
molclr.train()
File "molclr.py", line 70, in train
train_loader, valid_loader = self.dataset.get_data_loaders()
File "C:\Users\user\Desktop\Skin Permeation\MolCLR\dataset\dataset.py", line 162, in get_data_loaders
train_dataset = MoleculeDataset(data_path=self.data_path)
File "C:\Users\user\anaconda3\envs\molclr\lib\typing.py", line 819, in new
obj = super().new(cls)
TypeError: Can't instantiate abstract class MoleculeDataset with abstract methods get, len

[danielkaifeng]

I have the same issue, I suspect this is related to the version of torch-geometry.
This is my torch version:
torch 2.0.1
torch-geometric 2.3.1
torch-scatter 2.1.1+pt20cu117
torchvision 0.15.2

[dn-code-dev]

I have the same issue as well. Have you solved this?

[danielkaifeng]

yes, I reinstall the whole env according to README, it works for me now.

torch                 1.7.1+cu110
torch-geometric       1.6.3
torch-scatter         2.0.6
torch-sparse          0.6.9
torchvision           0.8.2+cu110

[AhmadHammad21]

This is my torch version
torch 1.13.1
torch-geometric 2.3.1
torch-scatter 2.1.1+pt113cu117
torch-sparse 0.6.17+pt113cu117
torchaudio 0.13.1
torchvision 0.14.1.

also I tried the env in README, and it still doesn't work too...

[AhmadHammad21]

@danielkaifeng can you send me the all commands you used?, I have cuda 11.7
I'm following the same instructions, I keep getting the same.

I really appreciate that

[danielkaifeng]

I just copied and pasted commands from REAMDE.