and their sizes must match in all dimensions except `concat_dim`.}]>:$values
  );

  let results = (outs
    Res<TF_Tensor, [{A `Tensor` with the concatenation of values stacked along the
`concat_dim` dimension.  This tensor's shape matches that of `values` except
in `concat_dim` where it has the sum of the sizes.}]>:$output
  );

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.
    *   tf.data service now supports optional compression. Previously data would