not supported when used with `tf.distribute.Strategy` outside of
        built-in training loops like `tf.keras` `compile`/`fit`.
    *   Wraps losses passed to the `compile` API (strings and v1 losses) which
        are not instances of v2 `Loss` class in `LossWrapper` class. => All
        losses will now use `SUM_OVER_BATCH_SIZE` reduction as default.

from the `TopK` op in its handling of ties; if multiple classes have the
same prediction value and straddle the top-`k` boundary, all of those
classes are considered to be in the top `k`.

More formally, let

  \\(predictions_i\\) be the predictions for all classes for example `i`,
  \\(targets_i\\) be the target class for example `i`,

            "version": "v1alpha2"
          }
        ]
      },
      "io.k8s.api.resource.v1alpha2.ResourceClassList": {
        "description": "ResourceClassList is a collection of classes.",
        "properties": {
          "apiVersion": {

            "type": "string"
          },
          "volumeMode": {