`StatsAggregator`. Add nested option, `experimental_stats` (which takes
        a `tf.data.experimen tal.StatsOptions` object), to `tf.data.Options`.
        Deprecates `tf.data.experimental.set_stats_agregator`.
    *   Performance optimizations:
    *   Add `tf.data.experimental.OptimizationOptions()`, to configure options
        to enable `tf.data` performance optimizations. Add nested option,

- Fixed a bug where executing a kubectl command with a jsonpath output expression that has a nested range would ignore expressions following the nested range. ([#88464](https://github.com/kubernetes/kubernetes/pull/88464), [@brianpursley](https://github.com/brianpursley)) [SIG API Machinery]

  margin-left: $card-deck-margin;\n    }\n  }\n}\n\n\n//\n// Card groups\n//\n\n.card-group {\n  // The child selector allows nested `.card` within `.card-group`\n  // to display properly.\n  > .card {\n    margin-bottom: $card-group-margin;\n  }\n\n  @include media-breakpoint-up(sm) {\n    display: flex;\n    flex-flow: row wrap;\n    // The child selector allows nested `.card` within `.card-group`\n    // to display properly.\n    > .card {\n      // Flexbugs #4: https://github.com/philipwalto...

  margin-left: $card-deck-margin;\n    }\n  }\n}\n\n\n//\n// Card groups\n//\n\n.card-group {\n  // The child selector allows nested `.card` within `.card-group`\n  // to display properly.\n  > .card {\n    margin-bottom: $card-group-margin;\n  }\n\n  @include media-breakpoint-up(sm) {\n    display: flex;\n    flex-flow: row wrap;\n    // The child selector allows nested `.card` within `.card-group`\n    // to display properly.\n    > .card {\n      // Flexbugs #4: https://github.com/philipwalto...

  }];

  let arguments = (ins
    Arg<TF_VariantTensor, [{A Tensor with type=DT_VARIANT containing the deduplication
data. The tensor is an XLA nested tuple containing N elements (where N is
the ratio of the number of embedding to tensor cores per TPU chip). Each
element of the nested tuple is a tuple of rank 1 tensors. Each tensor either
contains indices (DT_UINT32) for embedding lookup on the TensorCore or

        "properties": {
          "field": {

        "properties": {
          "field": {