- Metrics changes: Fix exposed buckets of `scheduler_volume_scheduling_duration_seconds_bucket` metric ([#100720](https://github.com/kubernetes/kubernetes/pull/100720), [@dntosas](https://github.com/dntosas)) [SIG Apps, Instrumentation, Scheduling and Storage]

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>;
}

def TF_BroadcastArgsOp : TF_Op<"BroadcastArgs", [Pure]> {
  let summary = "Return the shape of s0 op s1 with broadcast.";

		{"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},

*   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