class_docstr: Compute `Y = g(X; shift) = X + shift`.
  
  where `shift` is a numeric `Tensor`.
  
  Example Use:
  
  ```python
  shift = Shift([-1., 0., 1])
  x = [1., 2, 3]
  # `forward` is equivalent to:
  # y = x + shift
  y = shift.forward(x)  # [0., 2., 4.]
  ```
class_docstr_tok: ["Compute","`","Y","=","g","(","X",";","shift",")","=","X","+","shift","`",".","where","`","shift","`","is","a","numeric","`","Tensor","`",".","Example","Use",":","``","`","python","shift","=","Shift","(","[","-1.",",","0.",",","1","]",")","x","=","[","1.",",","2",",","3","]","#","`","forward","`","is","equivalent","to",":","#","y","=","x","+","shift","y","=","shift.forward","(","x",")","#","[","0.",",","2.",",","4",".","]","``","`"]
code: def _inverse(self, y):
      return y - self.shift
  
file_path: probability/tensorflow_probability/python/bijectors/shift.py
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
label_desc: Use image node_id 5 for calling the Shift obj's underlying member method code with example usage: obj._inverse(y) and returns: unknown