code: def forward(self, x):
      mu, logvar = self.encode(x)
      z = self.reparameterize(mu, logvar)
      return self.decode(z), mu, logvar
  
file_path: cornac/cornac/models/vaecf/vaecf.py
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from tqdm.auto import trange
  from ...utils import estimate_batches
label_desc: Use image node_id 5 for calling the VAE obj's underlying member method code with example usage: obj.forward(x) and returns: self,  mu,  logvar