class_docstr: An MLP (Full layers) encoder for modeling latent space.
class_docstr_tok: ["An","MLP","(","Full","layers",")","encoder","for","modeling","latent","space","."]
code: def _build(self, z):
      x = z
      for l in self.layers:
          x = tf.nn.relu(snt.Linear(l)(x))
  
      mu = affine(
          x, self.output_size, z, residual=self.residual, softplus=False
      )
      sigma = affine(
          x, self.output_size, z, residual=self.residual, softplus=True
      )
      return mu, sigma
  
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 2 for calling the EncoderLatentFull obj's underlying member method code with example usage: obj._build(z) and returns: mu,  sigma