code: def forward(self, x):
      x_t1 = self.tconv1(x)
      x_ln = self.ln(x_t1.permute(0, 2, 3, 1)).permute(0, 3, 1, 2)
      x_t2 = self.tconv2(x_ln)
      return self.fc(x_t2)
  
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 2 for calling the OutputLayer obj's underlying member method code with example usage: obj.forward(x) and returns: self