Open AhmadHammad21 opened 1 year ago
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
I have the same issue as well. Have you solved this?
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
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...
@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
I just copied and pasted commands from REAMDE.
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