class_docstr: Rounded normal distribution + uniform noise.
class_docstr_tok: ["Rounded","normal","distribution","+","uniform","noise","."]
code: def __init__(self, name="NoisyRoundedNormal", **kwargs):
      super().__init__(
          base=tfp.distributions.Normal(**kwargs), name=name
      )
  
imports: import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import deep_factorized
  from tensorflow_compression.python.distributions import helpers
  from tensorflow_compression.python.distributions import uniform_noise
  from tensorflow_compression.python.ops import round_ops
label_desc: Use image node_id 1 to create a new NoisyRoundedNormal object from inherited base classes: NoisyRoundAdapter with example: obj = NoisyRoundedNormal(name)