class_docstr: Base class for testing Tangent Spaces.
class_docstr_tok: ["Base","class","for","testing","Tangent","Spaces","."]
docstr: Set this if your event space is a non-vector.
docstr_tok: ["Set","this","if","your","event","space","is","a","non-vector","."]
code: def flatten_bijector(self):
      """Set this if your event space is a non-vector."""
      return identity.Identity()
  
file_path: probability/tensorflow_probability/python/experimental/tangent_spaces/spaces_test_util.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.experimental.tangent_spaces import spaces
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 3 for calling the SpacesTest obj's underlying member method code with example usage: obj.flatten_bijector() and returns: identity