Arg<Variadic<TF_Float32Tensor>, [{float; List of Rank 1 Tensors each containing the bucket boundaries for a single
feature.}]>:$bucket_boundaries
  );

  let results = (outs
    Res<Variadic<TF_Int32Tensor>, [{int; List of Rank 1 Tensors each containing the bucketized values for a single feature.}]>:$buckets
  );

  TF_DerivedOperandSizeAttr num_features = TF_DerivedOperandSizeAttr<0>;
}

- Fix the `cloudprovider_azure_api_request_duration_seconds` metric buckets to correctly capture the latency metrics. Previously, the majority of the calls would fall in the "+Inf" bucket. ([#94943](https://github.com/kubernetes/kubernetes/pull/94943), [@marwanad](https://github.com/marwanad)) [SIG Cloud Provider and Instrumentation]

*   TensorBoard disables all runs by default if there are more than 40 runs.
*   Removed old doc generator code.
*   GCS file system integration now supports domain buckets, e.g
    gs://bucket.domain.com/path.
*   Add `tf.summary.text` for outputting text to TensorBoard.
*   The "run" command of tfdbg's command-line interface now supports filtering

            "description": "TopologyKey is the key of node labels. Nodes that have a label with this key and identical values are considered to be in the same topology. We consider each <key, value> as a \"bucket\", and try to put balanced number of pods into each bucket. We define a domain as a particular instance of a topology. Also, we define an eligible domain as a domain whose nodes meet the requirements of nodeAffinityPolicy and nodeTaintsPolicy. e.g. If TopologyKey is \"kubernetes.io/hostname\",...

		{"Description.Cumulative", Field, 16},
		{"Description.Description", Field, 16},
		{"Description.Kind", Field, 16},
		{"Description.Name", Field, 16},
		{"Float64Histogram", Type, 16},
		{"Float64Histogram.Buckets", Field, 16},
		{"Float64Histogram.Counts", Field, 16},
		{"KindBad", Const, 16},
		{"KindFloat64", Const, 16},
		{"KindFloat64Histogram", Const, 16},
		{"KindUint64", Const, 16},
		{"Read", Func, 16},