// Creates a new eager Executor. Nodes in one executor are guaranteed to be
// executed in sequence. Assigning nodes to different executors allows executing
// nodes in parallel.
// in_flight_nodes_limit: when is_async is true, this value controls the
// maximum number of in flight async nodes. Enqueuing of additional async ops
// after the limit is reached blocks until some inflight nodes finishes.

*   `tf.keras`
    *   Export `depthwise_conv2d` in `tf.keras.backend`.
    *   In Keras Layers and Models, Variables in `trainable_weights`,
        `non_trainable_weights`, and `weights` are explicitly deduplicated.
    *   Keras `model.load_weights` now accepts `skip_mismatch` as an argument.
        This was available in external Keras, and has now been copied over to
        `tf.keras`.

  status->status = absl::OkStatus();
}

TFE_Executor* TFE_NewExecutor(bool is_async, bool enable_streaming_enqueue,
                              int in_flight_nodes_limit) {
  return new TFE_Executor(is_async, enable_streaming_enqueue,
                          in_flight_nodes_limit);
}

void TFE_DeleteExecutor(TFE_Executor* executor) { delete executor; }

bool TFE_ExecutorIsAsync(TFE_Executor* executor) {