class_docstr: Conditional mean of inputs given noisy soft rounded values.
code: def __init__(self, alpha=5.0, **kwargs):
      super().__init__(**kwargs)
      self._alpha = alpha
  
file_path: compression/tensorflow_compression/python/layers/soft_round.py
imports: import tensorflow
  from tensorflow_compression.python.ops import round_ops
label_desc: Use image node_id 1 to create a new SoftRoundConditionalMean object from inherited base classes: tf.keras.layers with example: obj = SoftRoundConditionalMean(alpha)