class_docstr: Applies a differentiable approximation of rounding.
code: def call(self, inputs):
      return self._transform(inputs, self._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 2 for calling the SoftRound obj's underlying member method code with example usage: obj.call(inputs) and returns: self