Dear author, Hello.I am running your code, but there is always an error when running train. Py. The error content is shown below.

[zhuyuan804]

VALIDATION - loss: 0.0000: 0%| | 0/67 [00:00<?, ?it/s]<class 'int'>
Traceback (most recent call last):
File "C:/Users/01/Desktop/GNN（图神经网络）/算法实践/GCN/cnn_graph.pytorch-master/train.py", line 159, in
trainer.run()
File "C:/Users/01/Desktop/GNN（图神经网络）/算法实践/GCN/cnn_graph.pytorch-master/train.py", line 71, in run
acc, mloss = self.validation(epoch)
File "C:/Users/01/Desktop/GNN（图神经网络）/算法实践/GCN/cnn_graph.pytorch-master/train.py", line 107, in validation
loss = self.criterion(logits, labels.cuda())
File "D:\Anaconda\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\Anaconda\lib\site-packages\torch\nn\modules\loss.py", line 948, in forward
ignore_index=self.ignore_index, reduction=self.reduction)
File "D:\Anaconda\lib\site-packages\torch\nn\functional.py", line 2422, in cross_entropy
return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
File "D:\Anaconda\lib\site-packages\torch\nn\functional.py", line 2218, in nll_loss
ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
RuntimeError: Expected object of scalar type Long but got scalar type Int for argument #2 'target' in call to _thnn_nll_loss_forward

[jasonseu]

VALIDATION - loss: 0.0000: 0%| | 0/67 [00:00<?, ?it/s]<class 'int'>
Traceback (most recent call last):
File "C:/Users/01/Desktop/GNN（图神经网络）/算法实践/GCN/cnn_graph.pytorch-master/train.py", line 159, in
trainer.run()
File "C:/Users/01/Desktop/GNN（图神经网络）/算法实践/GCN/cnn_graph.pytorch-master/train.py", line 71, in run
acc, mloss = self.validation(epoch)
File "C:/Users/01/Desktop/GNN（图神经网络）/算法实践/GCN/cnn_graph.pytorch-master/train.py", line 107, in validation
loss = self.criterion(logits, labels.cuda())
File "D:\Anaconda\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "D:\Anaconda\lib\site-packages\torch\nn\modules\loss.py", line 948, in forward
ignore_index=self.ignore_index, reduction=self.reduction)
File "D:\Anaconda\lib\site-packages\torch\nn\functional.py", line 2422, in cross_entropy
return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
File "D:\Anaconda\lib\site-packages\torch\nn\functional.py", line 2218, in nll_loss
ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
RuntimeError: Expected object of scalar type Long but got scalar type Int for argument #2 'target' in call to _thnn_nll_loss_forward

Hello, thanks for the interest to the codebase. It looks like a variable type related error. I have checked the code and it runs well. The error reported by you is occurred in the line 107, but it's actually the line 105 in my code. So, have you made any changes in the code? By the way, what's your pytorch version?

[zhuyuan804]

I just make a few minor adjustments, like looking at the function type, and it doesn't affect the whole thing.My Python=3.7,Pytorch=1.6.Is it because of problems with the latest version of Pytorch?Also, I think the problem is at line 69, where the type of epoch is Int and the validation function defined is long, and when I print(epoch), The result is just 0.I wondered if it was possible to try to change the type of epoch to Long, but I tried a variety of methods without success.

[jasonseu]

I just make a few minor adjustments, like looking at the function type, and it doesn't affect the whole thing.My Python=3.7,Pytorch=1.6.Is it because of problems with the latest version of Pytorch?Also, I think the problem is at line 69, where the type of epoch is Int and the validation function defined is long, and when I print(epoch), The result is just 0.I wondered if it was possible to try to change the type of epoch to Long, but I tried a variety of methods without success.

I have tested with pytorch=1.6 and anything is ok. I can't get your means that validation function defined is long, but I believe it is unlikely the problem caused by the type of epoch. According to your reported error, I think it is caused by the type conflict of labels. I suggest that you can try to convert the type of labels to Torch.LongTensor, it maybe works, although everything runs well in my code.

[zhuyuan804]

There is no casting required to convert an int to a long, which is a relative implicit cast and is done in the background.I guess my computer system can't convert int to long in the background.