class_docstr: Compute Y = g(X) = X.
  
  Example Use:
  
  ```python
  # Create the Y=g(X)=X transform which is intended for Tensors with 1 batch
  # ndim and 1 event ndim (i.e., vector of vectors).
  identity = Identity()
  x = [[1., 2],
       [3, 4]]
  x == identity.forward(x) == identity.inverse(x)
  ```
code: def _inverse_log_det_jacobian(self, y):
      return constant_op.constant(0.0, dtype=y.dtype)
  
file_path: tensorflow/tensorflow/python/ops/distributions/identity_bijector.py
imports: from tensorflow.python.framework import constant_op
  from tensorflow.python.ops.distributions import bijector
  from tensorflow.python.util import deprecation
label_desc: Use image node_id 4 for calling the Identity obj's underlying member method code with example usage: obj._inverse_log_det_jacobian(y) and returns: constant_op