class_docstr: Differentiable approximation to round.
class_docstr_tok: ["Differentiable","approximation","to","round","."]
code: def inverse_transform(self, y):
      return round_ops.soft_round_inverse(y, self._alpha)
  
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 3 for calling the SoftRoundAdapter obj's underlying member method code with example usage: obj.inverse_transform(y) and returns: round_ops