class_docstr: A joint model with two VAEs for latent spaces and ops for transfer.
  
  This model containts two VAEs to model two latant spaces individually,
  as well as extra Baysian Inference in training to enable transfer.
class_docstr_tok: ["A","joint","model","with","two","VAEs","for","latent","spaces","and","ops","for","transfer",".","This","model","containts","two","VAEs","to","model","two","latant","spaces","individually",",","as","well","as","extra","Baysian","Inference","in","training","to","enable","transfer","."]
code: def __init__(self, config, name=""):
      super(Model, self).__init__(name=name)
      self.config = config
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from magenta.models.latent_transfer import nn
  from six import iteritems
  import sonnet
  import tensorflow.compat.v1
  import tensorflow_probability
label_desc: Use image node_id 1 to create a new Model object from inherited base classes: snt with example: obj = Model(config, name)