message: Fix some indentations that lead to an error when users use the file_path flag in doctest.
diff: @@ -5037,7 +5037,9 @@ def repeat_with_axis(data, repeats, axis, name=None):
  Returns:
  A tensor with `max(N, 1)` dimensions. Has the same shape as `data`,
  except that dimension `axis` has size `sum(repeats)`.
  - #### Examples:
  +
  + Example usage:
  +
  >>> repeat(['a', 'b', 'c'], repeats=[3, 0, 2], axis=0)
  <tf.Tensor: shape=(5,), dtype=string,
  numpy=array([b'a', b'a', b'a', b'c', b'c'], dtype=object)>
  @@ -5052,6 +5054,7 @@ def repeat_with_axis(data, repeats, axis, name=None):
  <tf.Tensor: shape=(2, 5), dtype=int32, numpy=
  array([[1, 1, 2, 2, 2],
  [3, 3, 4, 4, 4]], dtype=int32)>
  +
  """
  if not isinstance(axis, int):
  raise TypeError("axis must be an int; got %s" % type(axis).__name__)
  @@ -5165,7 +5168,8 @@ def repeat(input, repeats, axis=None, name=None): # pylint: disable=redefined-b
  A Tensor which has the same shape as `input`, except along the given axis.
  If axis is None then the output array is flattened to match the flattened
  input array.
  - #### Examples:
  +
  + Example usage:
  >>> repeat(['a', 'b', 'c'], repeats=[3, 0, 2], axis=0)
  <tf.Tensor: shape=(5,), dtype=string,
  @@ -5190,6 +5194,7 @@ def repeat(input, repeats, axis=None, name=None): # pylint: disable=redefined-b
  >>> repeat([[1,2], [3,4]], repeats=2)
  <tf.Tensor: shape=(8,), dtype=int32,
  numpy=array([1, 1, 2, 2, 3, 3, 4, 4], dtype=int32)>
  +
  """
  if axis is None:
  input = reshape(input, [-1])
  