An RuntimeError:There were no tensor arguments to this function

[gr986]

I used my own dataset, and the following error occurred. How can I change it? Thanks!

Traceback (most recent call last):
File "D:/g/project/Expression2graph/learndxs/S_Pretra/my_pretrain_combine.py", line 243, in
main()
File "D:/g/project/Expression2graph/learndxs/S_Pretra/my_pretrain_combine.py", line 235, in main
train_loss, train_acc_pair, train_acc_node = train(args, model_list, loader, optimizer_list, device)
File "D:/g/project/Expression2graph/learndxs/S_Pretra/my_pretrain_combine.py", line 52, in train
for step, batch in enumerate(loader):
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 345, in next
data = self._next_data()
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 385, in _next_data
data = self._dataset_fetcher.fetch(index) # may raise StopIteration
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\utils\data_utils\fetch.py", line 47, in fetch
return self.collate_fn(data)
File "D:\g\project\Expression2graph\learndxs\S_Pretra\my_dataloader.py", line 55, in
collate_fn=lambda data_list: BatchMaskingAndSubstructContext.from_data_list(data_list),
File "D:\g\project\Expression2graph\learndxs\S_Pretra\my_batch.py", line 260, in from_data_list
batch[key] = torch.cat(batch[key], dim=batch.cat_dim(key))
RuntimeError: There were no tensor arguments to this function (e.g., you passed an empty list of Tensors), but no fallback function is registered for schema aten::_cat. This usually means that this function requires a non-empty list of Tensors. Available functions are [CPUTensorId, CUDATensorId, QuantizedCPUTensorId, VariableTensorId]

[weihua916]

Seems to be related to this issue: #14

[gr986]

Now, I have a new question:

Traceback (most recent call last):
File "D:/g/project/Expression2graph/learndxs/S_Pretra/my_pretrain_combine.py", line 309, in
main()
File "D:/g/project/Expression2graph/learndxs/S_Pretra/my_pretrain_combine.py", line 299, in main
train_loss, train_acc_node = train(args, model_list, loader, optimizer_list, device)
File "D:/g/project/Expression2graph/learndxs/S_Pretra/my_pretrain_combine.py", line 55, in train
node_rep = model(batch.x, batch.edge_index, batch.edge_attr)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "D:\g\project\Expression2graph\learndxs\S_Pretra\my_model.py", line 290, in forward
h = self.gnns[layer](h_list[layer], edge_index, edge_attr)
File "C:\Users\11708\Desktop\minikangda\envs\pytorch\lib\site-packages\torch\nn\modules\module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "D:\g\project\Expression2graph\learndxs\S_Pretra\my_model.py", line 54, in forward
return self.propagate(edge_index, x=x, edge_attr=edge_embeddings)
TypeError: propagate() missing 1 required positional argument: 'edge_index'

[funihang]

Hello,

Have you solved your first problem yet? I tried the method in #14 but still cannot solve it. Do you have any suggestions?