class_docstr: An MLP (Full layers) decoder for modeling latent space.
class_docstr_tok: ["An","MLP","(","Full","layers",")","decoder","for","modeling","latent","space","."]
code: def __init__(
      self,
      input_size,
      output_size,
      layers=(2048,) * 4,
      name="DecoderLatentFull",
      residual=True,
  ):
      super(DecoderLatentFull, self).__init__(name=name)
      self.layers = layers
      self.input_size = input_size
      self.output_size = output_size
      self.residual = residual
  
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 DecoderLatentFull object from inherited base classes: snt with example: obj = DecoderLatentFull(input_size, output_size, layers, name, residual)