class_docstr: Soft rounded normal distribution + uniform noise.
class_docstr_tok: ["Soft","rounded","normal","distribution","+","uniform","noise","."]
code: def __init__(
      self, alpha=5.0, name="NoisySoftRoundedNormal", **kwargs
  ):
      super().__init__(
          base=tfp.distributions.Normal(**kwargs),
          alpha=alpha,
          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 NoisySoftRoundedNormal object from inherited base classes: NoisySoftRoundAdapter with example: obj = NoisySoftRoundedNormal(alpha, name)