input_arg {
            name: "unknown"
            type: DT_DOUBLE
          }
          output_arg {
            name: "identity"
            type: DT_DOUBLE
          }
        }
        node_def {
          name: "Identity"
          op: "Identity"
          input: "unknown"
          attr {
            key: "T"
            value {
              type: DT_DOUBLE
            }

                                  subjectAltNames:
                                    description: A list of alternate names to verify
                                      the subject identity in the certificate.
                                    items:
                                      type: string
                                    type: array
                                type: object

                                  subjectAltNames:
                                    description: A list of alternate names to verify
                                      the subject identity in the certificate.
                                    items:
                                      type: string
                                    type: array
                                type: object

                                  subjectAltNames:
                                    description: A list of alternate names to verify
                                      the subject identity in the certificate.
                                    items:
                                      type: string
                                    type: array
                                type: object

      return ArraysAreCastCompatible(inferred, actual);
    }
  }];
}

def TF_DebugIdentityV2Op : TF_Op<"DebugIdentityV2", []> {
  let summary = "Debug Identity V2 Op.";

  let description = [{
Provides an identity mapping from input to output, while writing the content of
the input tensor by calling DebugEventsWriter.

The semantics of the input tensor depends on tensor_debug_mode. In typical

        "properties": {
          "apiVersion": {

 *   Updated `tf.keras.layers.BatchNormalization` to support masking of the inputs (`mask` argument) when computing the mean and variance.
 *   Add `tf.keras.layers.Identity`, a placeholder pass-through layer.
 *   Add `show_trainable` option to `tf.keras.utils.model_to_dot` to display layer trainable status in model plots.

- Fix pull image error from multiple ACRs using azure managed identity ([#96355](https://github.com/kubernetes/kubernetes/pull/96355), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider]

          }
        },
        "type": "object"
      },
      "io.k8s.apimachinery.pkg.apis.meta.v1.OwnerReference": {
        "description": "OwnerReference contains enough information to let you identify an owning object. An owning object must be in the same namespace as the dependent, or be cluster-scoped, so there is no namespace field.",
        "properties": {
          "apiVersion": {
            "default": "",

                  Note also that implementations MUST ONLY populate ancestor status for
                  the Ancestor resources they are responsible for. Implementations MUST
                  use the ControllerName field to uniquely identify the entries in this list
                  that they are responsible for.


                  Note that to achieve this, the list of PolicyAncestorStatus structs