code: def forward(self, x):
      x = x.transpose(0, 3)
      x = x.transpose(1, 3)
      output = self.gc(self.g, x)
      output = output.transpose(1, 3)
      output = output.transpose(0, 3)
      return torch.relu(output)
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.nn.init
  from dgl.nn.pytorch import GraphConv
  from dgl.nn.pytorch.conv import ChebConv
label_desc: Use image node_id 3 for calling the SpatioConvLayer obj's underlying member method code with example usage: obj.forward(x) and returns: torch