class_docstr: Variational AutoEncoder
code: def encode(self, x):
      h1 = F.tanh(self.le1(x))
      mu = self.le2_mu(h1)
      ln_var = self.le2_ln_var(h1)  # log(sigma**2)
      return mu, ln_var
  
file_path: tensorboardX/examples/chainer/plain_logger/net.py
imports: import six
  import chainer
  import chainer.functions
  from chainer.functions.loss.vae import gaussian_kl_divergence
  import chainer.links
label_desc: Use image node_id 3 for calling the VAE obj's underlying member method code with example usage: obj.encode(x) and returns: mu,  ln_var