TorchDrug property optimization support about gt4sd-core HOT 2 CLOSED

Moving forward, current issue was fixed in DeepGraphLearning/torchdrug#117.

A new issue was arising when models generated only invalid molecules, I wrote a PR to fix, see: DeepGraphLearning/torchdrug#125

from gt4sd-core.

Update: Updated to 0.1.3 and enabled the tests. They work fine but the inference pipelines are now failing with:

raise ValueError(
"Expect node attribute `%s` to have shape (%d, *), but found %s"
% (key, self.num_node, value.shape)
ValueError: Expect node attribute `atom_feature` to have shape (8, *), but found torch.Size([4, 18])

which never occurs in the first but only in the second iteration. Not sure what's going wrong but it's not because the models were trained on 0.1.2. I trained a dummy model on 0.1.3 and it has the same problem when used for inference.

from gt4sd-core.