Arg<TF_Int32Tensor, [{The int32 value(s) used as zero points when quantizing original data that `lhs` represents.
Must have same shape with `lhs_scales`.}]>:$lhs_zero_points,
    Arg<TF_Float32Tensor, [{The float value(s) used as scale factors when quantizing the original data that `rhs` represents.}]>:$rhs_scales,

                      type: object
                    mirrors:
                      description: Specifies the destinations to mirror HTTP traffic
                        in addition to the original destination.
                      items:
                        properties:
                          destination:
                            description: Destination specifies the target of the mirror

                      type: object
                    mirrors:
                      description: Specifies the destinations to mirror HTTP traffic
                        in addition to the original destination.
                      items:
                        properties:
                          destination:
                            description: Destination specifies the target of the mirror

        `.save()` function inside `TrtGraphConverterV2`. When `False`, the
        `.save()` function won't save any TRT engines that have been built. When
        `True` (default), the original behavior is preserved.
    *   `TrtGraphConverterV2` provides a new API called `.summary()` which
        outputs a summary of the inference converted by TF-TRT. It namely shows

			},
			numErrs: 1,
		}, {
			name: "topology annotations are mismatched",
			tweakSvc: func(s *core.Service) {
				s.Annotations[core.DeprecatedAnnotationTopologyAwareHints] = "original"
				s.Annotations[core.AnnotationTopologyMode] = "different"
			},
			numErrs: 1,
		}, {
			name: "valid: trafficDistribution field set to PreferClose",
			tweakSvc: func(s *core.Service) {

          }
        },
        "type": "object"
      },
      "io.k8s.api.apps.v1.RollingUpdateDeployment": {