there was no Part really white. One Part was red, another yellow, a
third green, a fourth blue, a fifth purple, and every Part retains its
proper Colour till it strike the Sensorium. If the Impressions follow
one another slowly, so that they may be severally perceived, there is
made a distinct Sensation of all the Colours one after another in a
continual Succession. But if the Impressions follow one another so

          "continue": {

              {
                "$ref": "#/components/schemas/io.k8s.apimachinery.pkg.apis.meta.v1.Time"
              }
            ],
            "description": "Last time the condition transitioned from one status to another."
          },
          "message": {
            "description": "A human readable message indicating details about the transition.",
            "type": "string"
          },
          "reason": {

                          lastTransitionTime:
                            description: |-
                              lastTransitionTime is the last time the condition transitioned from one status to another.
                              This should be when the underlying condition changed.  If that is not known, then using the time when the API field changed is acceptable.
                            format: date-time

  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<2>;
}

def TF_BitcastOp : TF_Op<"Bitcast", [Pure]> {
  let summary = [{
Bitcasts a tensor from one type to another without copying data.
  }];

  let description = [{
Given a tensor `input`, this operation returns a tensor that has the same buffer
data as `input` with datatype `type`.

                            type: object
                        type: object
                      type: array
                    mirror:
                      description: Mirror HTTP traffic to a another destination in
                        addition to forwarding the requests to the intended destination.
                      properties:
                        host:

                            type: object
                        type: object
                      type: array
                    mirror:
                      description: Mirror HTTP traffic to a another destination in
                        addition to forwarding the requests to the intended destination.
                      properties:
                        host:

*  `tf.experimental.dtensor`
    * API changes for Relayout. Added a new API, `dtensor.relayout_like`, for relayouting a tensor according to the layout of another tensor.
    * Added `dtensor.get_default_mesh`, for retrieving the current default mesh under the dtensor context.

                            type: object
                        type: object
                      type: array
                    mirror:
                      description: Mirror HTTP traffic to a another destination in
                        addition to forwarding the requests to the intended destination.
                      properties:
                        host:

			RestartPolicy: core.RestartPolicyAlways,
			DNSPolicy:     core.DNSClusterFirst,
			ResourceClaims: []core.PodResourceClaim{{
				Name:   "my-claim",
				Source: goodClaimSource,
			}, {
				Name:   "another-claim",
				Source: goodClaimSource,
			}},
		},
		"init container": {