klog.InfoS("Got unexpected podIsFinished=false, while podIsFinished=true in status cache, programmer error.", "pod", klog.KObj(pod))
				podIsFinished = true
			}
		}
	} else if mirrorPod, ok := m.podManager.GetMirrorPodByPod(pod); ok {
		oldStatus = mirrorPod.Status
	} else {
		oldStatus = pod.Status
	}

	// Check for illegal state transition in containers

	// Mirror pod has an outdated spec.
	mirrorPod := podWithUIDNameNsSpec("11111111", "foo", "ns", v1.PodSpec{
		Containers: []v1.Container{
			{Name: "1234", Image: "bar"},
		},
	})
	mirrorPod.Annotations[kubetypes.ConfigSourceAnnotationKey] = "api"
	mirrorPod.Annotations[kubetypes.ConfigMirrorAnnotationKey] = "mirror"

	pods := []*v1.Pod{pod, mirrorPod}
	kl.podManager.SetPods(pods)

			continue
		}
		kl.podWorkers.UpdatePod(UpdatePodOptions{
			UpdateType: kubetypes.SyncPodCreate,
			Pod:        pod,
			MirrorPod:  mirrorPod,
		})

		// the desired pod is now known as well
		workingPods[desiredPod.UID] = PodWorkerSync{State: SyncPod, HasConfig: true, Static: isStatic}
		if isStatic {
			// restartable static pods are the normal case
			restartCountStatic++
		} else {

				pod := staticPod()

				w.UpdatePod(UpdatePodOptions{
					UpdateType: kubetypes.SyncPodCreate,
					StartTime:  time.Unix(1, 0).UTC(),
					Pod:        pod,
					MirrorPod:  mirrorPod(pod, "node-1", "node-uid-1"),
				})
				drainAllWorkers(w)

				// expect we get a pod sync record for kill that should have the default grace period

	RunningContainersKey               = "running_containers"
	DesiredPodCountKey                 = "desired_pods"
	ActivePodCountKey                  = "active_pods"
	MirrorPodCountKey                  = "mirror_pods"
	WorkingPodCountKey                 = "working_pods"
	OrphanedRuntimePodTotalKey         = "orphaned_runtime_pods_total"
	RestartedPodTotalKey               = "restarted_pods_total"

    "REDUCE_ANY",
    "SQUARE",
    "ZEROS_LIKE",
    "FILL",
    "FLOOR_MOD",
    "RANGE",
    "RESIZE_NEAREST_NEIGHBOR",
    "LEAKY_RELU",
    "SQUARED_DIFFERENCE",
    "MIRROR_PAD",
    "ABS",
    "SPLIT_V",
    "UNIQUE",
    "CEIL",
    "REVERSE_V2",
    "ADD_N",
    "GATHER_ND",
    "COS",
    "WHERE",
    "RANK",
    "ELU",

    *   Added int16x8 support for the built-in op `exp`
    *   Added int16x8 support for the built-in op `mirror_pad`
    *   Added int16x8 support for the built-in ops `space_to_batch_nd` and `batch_to_space_nd`
    *   Added 16-bit int type support for built-in op `less`, `greater_than`, `equal`

      "Transpose", "ZerosLike", "OnesLike", "BiasAdd" /*PW + Broadcast*/,
      "BroadcastArgs", "BroadcastGradientArgs", "OneHot", "Concat", "ConcatV2",
      "ConcatOffset", "Const", "MirrorPad", "MirrorPadGrad", "Pack", "Pad",
      "PadV2", "Reverse", "ReverseV2", "ReverseSequence", "Slice", "Split",
      "SplitV", "StridedSlice", "StridedSliceGrad",

  let summary = [{
Gradient op for `MirrorPad` op. This op folds a mirror-padded tensor.
  }];

  let description = [{
This operation folds the padded areas of `input` by `MirrorPad` according to the
`paddings` you specify. `paddings` must be the same as `paddings` argument
given to the corresponding `MirrorPad` op.

The folded size of each dimension D of the output is: