RuntimeError: size of dimension does not match previous size, operand 1, dim 0.

[hahaha12379]

I don't konw how to solve this problem,><,谢谢大家了 Traceback (most recent call last): File "train.py", line 177, in main() File "train.py", line 88, in main metrics = engine.train(trainx, trainy[:,0,:,:]) File "/home/mist/Graph-WaveNet-master/engine.py", line 17, in train output = self.model(input) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mist/Graph-WaveNet-master/model.py", line 192, in forward x = self.gconv[i](x, new_supports) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mist/Graph-WaveNet-master/model.py", line 36, in forward x1 = self.nconv(x,a) File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 727, in _call_impl result = self.forward(*input, **kwargs) File "/home/mist/Graph-WaveNet-master/model.py", line 13, in forward x = torch.einsum('ncvl,vw->ncwl',(x,A)) File "/usr/local/lib/python3.6/dist-packages/torch/functional.py", line 342, in einsum return einsum(equation, *_operands) File "/usr/local/lib/python3.6/dist-packages/torch/functional.py", line 344, in einsum return _VF.einsum(equation, operands) # type: ignore RuntimeError: size of dimension does not match previous size, operand 1, dim 0

[Meelisha]

Were you able to figure out this issue?