code: def sample_latent_code(self, mean, logvar):
      eps = torch.randn_like(logvar)
      return mean + torch.sqrt(logvar) * eps
  
imports: import torch
  import torch.utils.data
  from torch import nn
label_desc: Use image node_id 4 for calling the CF_VAE obj's underlying member method code with example usage: obj.sample_latent_code(mean, logvar) and returns: unknown