code: def forward(self, x):
      x = self.frontend3D(x)
      x = x.transpose(1, 2)
      x = x.contiguous()
      x = x.view(-1, 64, x.size(3), x.size(4))
      # x = self.resnet34(x)
      x = self.resnet18(x)
      return x
  
imports: import math
  import numpy
  import torch
  import torch.nn
  from torch.autograd import Variable
label_desc: Use image node_id 2 for calling the Lipreading obj's underlying member method code with example usage: obj.forward(x) and returns: x