code: def decode(self, z):
      h = F.relu(self.fc4(z))
      return F.sigmoid(self.fc5(h))
  
file_path: pytorch-tutorial/tutorials/03-advanced/variational_autoencoder/main.py
imports: import os
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision
  from torchvision import transforms
  from torchvision.utils import save_image
label_desc: Use image node_id 4 for calling the VAE obj's underlying member method code with example usage: obj.decode(z) and returns: F