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Using the default config file present in /configs/c-rgcn/lp-WN18.yaml after changing the weight initialisation as suggested in #12, I get the following error.
INFO - R-GCN Link Prediction - Started
Start training...
ERROR - R-GCN Link Prediction - Failed after 0:00:02!
Traceback (most recent calls WITHOUT Sacred internals):
File "experiments/predict_links.py", line 151, in train
predictions, penalty = model(graph, batch_idx)
File "/usr/local/envs/torch_rgcn_venv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__
result = self.forward(*input, **kwargs)
File "/content/drive/MyDrive/research/dr/torch-rgcn/torch_rgcn/models.py", line 235, in forward
x = self.rgc1(graph, features=x)
File "/usr/local/envs/torch_rgcn_venv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__
result = self.forward(*input, **kwargs)
File "/content/drive/MyDrive/research/dr/torch-rgcn/torch_rgcn/layers.py", line 550, in forward
fw = torch.einsum('ni, rio -> rno', features, weights).contiguous()
File "/usr/local/envs/torch_rgcn_venv/lib/python3.7/site-packages/torch/functional.py", line 201, in einsum
return torch._C._VariableFunctions.einsum(equation, operands)
RuntimeError: size of dimension does not match previous size, operand 1, dim 1
Any help is appreciated, TIA!
The text was updated successfully, but these errors were encountered:
Using the default config file present in
/configs/c-rgcn/lp-WN18.yaml
after changing the weight initialisation as suggested in #12, I get the following error.Any help is appreciated, TIA!
The text was updated successfully, but these errors were encountered: