code: def reparameterize(self, mu, log_var):
      std = torch.exp(log_var / 2)
      eps = torch.randn_like(std)
      return mu + eps * std
  
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 3 for calling the VAE obj's underlying member method code with example usage: obj.reparameterize(mu, log_var) and returns: unknown