message: Fix sanity build errors
diff: @@ -490,10 +490,10 @@ setdiff1d.__doc__ = gen_array_ops.list_diff.__doc__
  def broadcast_dynamic_shape(shape_x, shape_y):
  """Computes the shape of a broadcast given symbolic shapes.
  - When `shape_x` and `shape_y` are Tensors representing shapes (i.e. the result of
  - calling tf.shape on another Tensor) this computes a Tensor which is the shape
  - of the result of a broadcasting op applied in tensors of shapes `shape_x` and
  - `shape_y`.
  + When `shape_x` and `shape_y` are Tensors representing shapes (i.e. the result
  + of calling tf.shape on another Tensor) this computes a Tensor which is the
  + shape of the result of a broadcasting op applied in tensors of shapes
  + `shape_x` and `shape_y`.
  This is useful when validating the result of a broadcasting operation when the
  tensors do not have statically known shapes.
  @@ -503,7 +503,8 @@ def broadcast_dynamic_shape(shape_x, shape_y):
  >>> shape_x = (1, 2, 3)
  >>> shape_y = (5, 1, 3)
  >>> tf.broadcast_dynamic_shape(shape_x, shape_y)
  - <tf.Tensor: id=..., shape=(3,), dtype=int32, numpy=array([5, 2, 3], dtype=int32)>
  + <tf.Tensor: id=..., shape=(3,), dtype=int32, numpy=array([5, 2, 3],
  + dtype=int32)>
  Args:
  shape_x: A rank 1 integer `Tensor`, representing the shape of x.
  @@ -1732,7 +1733,8 @@ def boolean_mask_v2(tensor, mask, axis=None, name="boolean_mask"):
  >>> tensor = [[1, 2], [3, 4], [5, 6]] # 2-D example
  >>> mask = np.array([True, False, True])
  >>> tf.boolean_mask(tensor, mask)
  - <tf.Tensor: id=..., shape=(2, 2), dtype=int32, numpy=array([[1, 2], [5, 6]], dtype=int32)>
  + <tf.Tensor: id=..., shape=(2, 2), dtype=int32, numpy=array([[1, 2], [5, 6]],
  + dtype=int32)>
  Args:
  tensor: N-D Tensor.
  