class_docstr: Factorized prior to code a discrete tensor.
class_docstr_tok: ["Factorized","prior","to","code","a","discrete","tensor","."]
code: def losses(self):
      return self._entropy_model.losses
  
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 3 for calling the FactorizedPriorLayer obj's underlying member method code with example usage: obj.losses() and returns: self