class_docstr: Gaussian distribution with additive i.i.d. uniform noise.
class_docstr_tok: ["Gaussian","distribution","with","additive","i.i.d",".","uniform","noise","."]
docstr: Initializer, taking the same arguments as `tfpd.Normal`.
docstr_tok: ["Initializer",",","taking","the","same","arguments","as","`","tfpd.Normal","`","."]
code: def __init__(self, name="NoisyNormal", **kwargs):
      """Initializer, taking the same arguments as `tfpd.Normal`."""
      super().__init__(tfp.distributions.Normal(**kwargs), name=name)
  
imports: import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import helpers
label_desc: Use image node_id 1 to create a new NoisyNormal object from inherited base classes: UniformNoiseAdapter with example: obj = NoisyNormal(name)