code: def forward(self, x):
      x = x.transpose(0, 1).transpose(1, 2)
      x = F.pad(x, pad=self.pad, value=0)
      x = self.conv(x)
      x = x.transpose(1, 2).transpose(0, 1).contiguous()
      return x
  
imports: import math
  from collections import OrderedDict
  from typing import Optional, Tuple
  import torch
  import torch.nn.functional
  from torch import nn, Tensor
label_desc: Use image node_id 2 for calling the Lookahead obj's underlying member method code with example usage: obj.forward(x) and returns: x