message: Original change wasn't forward-compatible.
diff: @@ -2621,7 +2621,7 @@ def reduce_logsumexp(input_tensor, axis=None, keepdims=False, name=None):
  raw_max = reduce_max_with_dims(
  input_tensor, axis=axis, keepdims=True, dims=reduce_dim)
  my_max = array_ops.stop_gradient(
  - gen_math_ops.select_v2(
  + gen_math_ops.select(
  gen_math_ops.is_finite(raw_max), raw_max,
  gen_array_ops.zeros_like(raw_max)))
  result = gen_math_ops.log(
  @@ -3366,7 +3366,6 @@ def cumsum(x, axis=0, exclusive=False, reverse=False, name=None):
  <tf.Tensor: shape=(4,), dtype=int32,
  numpy=array([ 2, 6, 12, 20], dtype=int32)>
  -
  >>> # using varying `axis` values
  >>> y = tf.constant([[2, 4, 6, 8], [1,3,5,7]])
  >>> tf.cumsum(y, axis=0)
  