continue
			default:
				c.ctxt.Diag("zero-width instruction\n%v", p)
			}
		}
		pc += int64(m)

		if o.flag&LFROM != 0 {
			c.addpool(p, &p.From)
		}
		if o.flag&LTO != 0 {
			c.addpool(p, &p.To)
		}
		if c.blitrl != nil {
			c.checkpool(p)
		}
	}

	c.cursym.Size = pc

	/*
	 * if any procedure is large enough to

		addNodes(manager.nodeStore, 5, 5, simpleNodeLabel)
		addPods(manager.podStore, "node-0", simpleDaemonSetLabel, ds, 1)
		addPods(manager.podStore, "node-1", simpleDaemonSetLabel, ds, 3)
		addPods(manager.podStore, "node-1", simpleDaemonSetLabel2, ds, 2)
		addPods(manager.podStore, "node-2", simpleDaemonSetLabel, ds, 4)
		addPods(manager.podStore, "node-6", simpleDaemonSetLabel, ds, 13)
		addPods(manager.podStore, "node-7", simpleDaemonSetLabel2, ds, 4)

			t.Errorf("preFilter2 called %v, expected: 1", preFilter2.PreFilterCalled)
		}
		if preFilter2.AddCalled != 1 {
			t.Errorf("AddPod called %v, expected: 1", preFilter2.AddCalled)
		}
		if preFilter2.RemoveCalled != 1 {
			t.Errorf("AddPod called %v, expected: 1", preFilter2.RemoveCalled)
		}
	})
}

func TestRunPreFilterPlugins(t *testing.T) {
	tests := []struct {

// CHECK:  %1 = "tf.AvgPool"(%arg0)
// CHECK:  %2 = "tf.AvgPool"(%arg0)
}

func.func @avgPool2DChannelFirst(%arg0: tensor<1x16x6x6xf32>) -> tensor<1x16x1x1xf32> {
  // OK

}

// -----

// CHECK-LABEL: func @testValidAvgPool
func.func @testValidAvgPool(tensor<1x7x7x16xf32>) -> tensor<1x1x1x16xf32> {
^bb0(%arg0: tensor<1x7x7x16xf32>):
  %0 = "tf.AvgPool"(%arg0) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", ksize = [1, 7, 7, 1], padding = "VALID", strides = [1, 1, 1, 1]} : (tensor<1x7x7x16xf32>) -> tensor<1x1x1x16xf32>
  func.return %0 : tensor<1x1x1x16xf32>
}

// -----

	kubelet.kubeClient = testKubelet.fakeKubeClient
	defer testKubelet.fakeKubeClient.ClearActions()
	kubelet.podManager.AddPod(testPod1)
	kubelet.podManager.AddPod(testPod2)
	kubelet.podManager.AddPod(testPod3)
	kubelet.podWorkers.(*fakePodWorkers).running = map[types.UID]bool{
		testPod1.UID: true,
		testPod2.UID: true,
		testPod3.UID: true,
	}

      return value.isExactlyValue(1.0);
    }
    auto value = *attr.value_begin<APInt>();
    return value.getSExtValue() == 1;
  }
};

// Maps the following representations of AvgPool in MHLO into a tf.AvgPool{3D}
// operation when they cleanly map to 2D or 3D average pool with VALID or SAME
// padding:
// * div(reduce_sum_window(x), constant(sizeof(window)))

	// and would be removed itself (without any explicit actions on schedulernodeinfo). Even in that case,
	// explicitly AddPod will as well correct the behavior.
	firstPod.Spec.NodeName = node.Name
	if err := scache.AddPod(logger, firstPod); err != nil {
		t.Fatalf("err: %v", err)
	}
	if err := scache.RemovePod(logger, firstPod); err != nil {
		t.Fatalf("err: %v", err)
	}

	pod1 := newPod("pod1", job1)
	pod2 := newPod("pod2", job2)
	informer.Core().V1().Pods().Informer().GetIndexer().Add(pod1)
	informer.Core().V1().Pods().Informer().GetIndexer().Add(pod2)

	jm.addPod(logger, pod1)
	verifyEmptyQueueAndAwaitForQueueLen(ctx, t, jm, 1)
	key, done := jm.queue.Get()
	if key == "" || done {
		t.Fatalf("failed to enqueue controller for pod %v", pod1.Name)
	}

		}
		return false, err
	}

	// Fetch the pull secrets for the pod
	pullSecrets := kl.getPullSecretsForPod(pod)

	// Ensure the pod is being probed
	kl.probeManager.AddPod(pod)

	if utilfeature.DefaultFeatureGate.Enabled(features.InPlacePodVerticalScaling) {
		// Handle pod resize here instead of doing it in HandlePodUpdates because