"Conv2D op doesn't have valid padding");
  }
  // Make sure dilations are all ones if set.
  const ArrayAttr& dilations =
      op->template getAttrOfType<ArrayAttr>("dilations");
  if (dilations && !TFIntListIsAllOnes(dilations)) {
    return rewriter.notifyMatchFailure(op, "dilations should be all 1");
  }

  if (!TFL::TFTypeIsFloat32Tensor(op.getInput()) &&

  IntegerAttr dilation_depth_factor, dilation_height_factor,
      dilation_width_factor;
  if (!TFIntListIs1XYZ1(op, "dilations", &dilation_depth_factor,
                        &dilation_height_factor, &dilation_width_factor)) {
    // If the 'dilations' attribute is missing, we use the default value (1)
    // for all dilation depth, height and width factor.
    dilation_depth_factor = rewriter.getI32IntegerAttr(1);

                              llvm::StringMap<Attribute>& identifier_to_attr) {
  ArrayAttr dilations =
      mlir::dyn_cast<ArrayAttr>(identifier_to_attr["dilations"]);
  const int dilation_h = mlir::cast<IntegerAttr>(dilations[1]).getInt();
  const int dilation_w = mlir::cast<IntegerAttr>(dilations[2]).getInt();
  return rewriter.getI64ArrayAttr({dilation_h, dilation_w});
}

Attribute GetPaddingValue(PatternRewriter& rewriter,

      int dilation_i = mlir::cast<IntegerAttr>(dilations[i]).getInt();
      int out_size = tflite::ComputeOutSize(kTfLitePaddingSame, input_size,
                                            filter_size, stride_i, dilation_i);

      int offset = 0;
      int padding_before = tflite::ComputePaddingWithOffset(
          stride_i, dilation_i, input_size, filter_size, out_size, &offset);

	// verify pod is not queued for deletion
	if controller.taintEvictionQueue.GetWorkerUnsafe(podNamespacedName.String()) != nil {
		t.Fatalf("pod queued for deletion with no taints")
	}

	// no taint -> infinitely tolerated taint
	nodeIndexer.Update(singleTaintedNode)
	controller.handleNodeUpdate(ctx, nodeUpdateItem{"node1"})
	// verify pod is not queued for deletion

	OnServiceAdd(service *v1.Service)
	// OnServiceUpdate is called whenever modification of an existing
	// service object is observed.
	OnServiceUpdate(oldService, service *v1.Service)
	// OnServiceDelete is called whenever deletion of an existing service
	// object is observed.
	OnServiceDelete(service *v1.Service)
	// OnServiceSynced is called once all the initial event handlers were
	// called and the state is fully propagated to local cache.

func (ssc *StatefulSetController) enqueueSSAfter(ss *apps.StatefulSet, duration time.Duration) {
	key, err := controller.KeyFunc(ss)
	if err != nil {
		utilruntime.HandleError(fmt.Errorf("couldn't get key for object %#v: %v", ss, err))
		return
	}
	ssc.queue.AddAfter(key, duration)
}

	nodeLister       corelisters.NodeLister
	nodeListerSynced cache.InformerSynced

	nodeQueue workqueue.TypedDelayingInterface[string]

	terminatedPodThreshold int
	gcCheckPeriod          time.Duration
	quarantineTime         time.Duration
}

func NewPodGC(ctx context.Context, kubeClient clientset.Interface, podInformer coreinformers.PodInformer,
	nodeInformer coreinformers.NodeInformer, terminatedPodThreshold int) *PodGCController {

	}

	rsc.queue.Add(key)
}

func (rsc *ReplicaSetController) enqueueRSAfter(rs *apps.ReplicaSet, duration time.Duration) {
	key, err := controller.KeyFunc(rs)
	if err != nil {
		utilruntime.HandleError(fmt.Errorf("couldn't get key for object %#v: %v", rs, err))
		return
	}

	rsc.queue.AddAfter(key, duration)
}

func (rsc *ReplicaSetController) addRS(logger klog.Logger, obj interface{}) {

// CHECK-NEXT: %[[CONV2D_0:.*]] = "tf.Conv2D"(%arg0, %arg1)
// CHECK-SAME: data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true
// CHECK-SAME: attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations"
// CHECK-NEXT: %[[BIASADD_0:.*]] = "tf.BiasAdd"(%[[CONV2D_0]], %arg2)
// CHECK-NEXT: %[[RELU6_0:.*]] = "tf.Relu6"(%[[BIASADD_0]])