class_docstr: Variational AutoEncoder
docstr: AutoEncoder
code: def __call__(self, x, sigmoid=True):
      """AutoEncoder"""
      return self.decode(self.encode(x)[0], sigmoid)
  
file_path: pytorch-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 2 for calling the VAE obj's underlying member method code with example usage: obj.__call__(x, sigmoid) and returns: self