code: def reparameterize(self, mu, logvar):
      std = torch.exp(0.5 * logvar)
      eps = torch.randn_like(mu)
      return mu + eps * std
  
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 4 for calling the VAE obj's underlying member method code with example usage: obj.reparameterize(mu, logvar) and returns: unknown