class_docstr: Factorized prior to code a discrete tensor.
class_docstr_tok: ["Factorized","prior","to","code","a","discrete","tensor","."]
docstr: Instantiate layer.
docstr_tok: ["Instantiate","layer","."]
code: def __init__(self):
      """Instantiate layer."""
      super(FactorizedPriorLayer, self).__init__(name="FactorizedPrior")
      self._entropy_model = tfc.EntropyBottleneck(name="entropy_model")
  
imports: import collections
  from compare_gan.architectures import abstract_arch
  from compare_gan.architectures import arch_ops
  import numpy
  import tensorflow.compat.v1
  import tensorflow_compression
  from hific.helpers import ModelMode
label_desc: Use image node_id 1 to create a new FactorizedPriorLayer object from inherited base classes: tf.keras.layers with example: obj = FactorizedPriorLayer()