message: Update control_flow_ops.py to pass Ubuntu tests
diff: @@ -339,9 +339,9 @@ def vectorized_map(fn, elems, fallback_to_while_loop=True):
  This method works similar to `tf.map_fn` but is optimized to run much faster,
  possibly with a much larger memory footprint. The speedups are obtained by
  - vectorization (see [Auto-Vectorizing TensorFlow Graphs: Jacobians, Auto-Batching
  - and Beyond](https://arxiv.org/pdf/1903.04243.pdf)). The idea behind
  - vectorization is to semantically launch all the invocations of `fn` in
  + vectorization (see [Auto-Vectorizing TensorFlow Graphs: Jacobians,
  + Auto-Batching and Beyond](https://arxiv.org/pdf/1903.04243.pdf)). The idea
  + behind vectorization is to semantically launch all the invocations of `fn` in
  parallel and fuse corresponding operations across all these invocations. This
  fusion is done statically at graph generation time and the generated code is
  often similar in performance to a manually fused version.
  