Class <org.gradle.tooling.internal.consumer.AbstractLongRunningOperation> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (AbstractLongRunningOperation.java:0)
Class <org.gradle.tooling.internal.consumer.BlockingResultHandler> is not annotated (directly or via its package) with @org.gradle.api.NonNullApi in (BlockingResultHandler.java:0)

- Kube-proxy now consumes EndpointSlices instead of Endpoints by default on Linux. A new alpha `WindowsEndpointSliceProxying` feature gate allows the feature to be enabled on Windows. ([#92736](https://github.com/kubernetes/kubernetes/pull/92736), [@robscott](https://github.com/robscott))...

                            any namespace to the Service.


                            ParentRefs from a Route to a Service in a different namespace are
                            "consumer" routes, and these routing rules are only applied to outbound
                            connections originating from the same namespace as the Route, for which

      },
      "io.k8s.apimachinery.pkg.util.intstr.IntOrString": {
        "description": "IntOrString is a type that can hold an int32 or a string.  When used in JSON or YAML marshalling and unmarshalling, it produces or consumes the inner type.  This allows you to have, for example, a JSON field that can accept a name or number.",
        "format": "int-or-string",
        "oneOf": [
          {
            "type": "integer"
          },

            "type": "array",
            "x-kubernetes-list-type": "atomic"
          },
          "shareable": {
            "description": "Shareable determines whether the resource supports more than one consumer at a time.",
            "type": "boolean"
          }
        },
        "type": "object"
      },
      "io.k8s.api.resource.v1alpha2.DriverAllocationResult": {

  }];

  let arguments = (ins
    TF_ShapeAttr:$shape
  );

  let results = (outs
    Res<TF_Tensor, [{    \"Fake\" output value. This should not be consumed by another op.}]>:$output
  );

  TF_DerivedResultTypeAttr dtype = TF_DerivedResultTypeAttr<0>;
}

    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.
    *   tf.data service now supports optional compression. Previously data would
        always be compressed, but now you can disable compression by passing