error when run the GCN-M model

[kanghui-learning]

In the definition of GCNMdynamic model, define the gated_conv as:
self.gate_convs.append(nn.Conv1d(in_channels=residual_channels, out_channels=dilation_channels, kernel_size=(1, kernel_size), dilation=new_dilation))

when run the model in metr_la dataset, get an error when calculate gate = self.gate_convs[i](residual) # kernel=(1,2)
RuntimeError: Expected 2D (unbatched) or 3D (batched) input to conv1d, but got input of size: [32, 32, 207, 13]

I think the residual got the correct shape of (B, residual_size, D, F) as noted. Is this a problem caused by the improper vision of torch?
Could you please help me solve this problem, I will appreciate any assistance you can provide.