code: def forward(self, x):
      x = self.linear1(x)
      x = F.leaky_relu(x, 0.4)
      x = self.linear2(x)
      x = F.leaky_relu(x, 0.4)
      return x
  
imports: import math
  import torch
  from torch import nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the CondUpsampler obj's underlying member method code with example usage: obj.forward(x) and returns: x