Fix flaking failures in the GPU Operator CI e2e tests

[JunAr7112]

Description

Fix flaking failures in the GPU Operator CI e2e tests. The issue here is that when the NVIDIADriver CR is patched with new labels, the pod template in the DaemonSet is updated with the new labels, but the existing pod isn't automatically restarted.

kubectl get daemonset -n test-operator -l "app.kubernetes.io/component=nvidia-driver" -o jsonpath='{.items[0].spec.updateStrategy}' 2>&1 | python3 -m json.tool
{
"type": "OnDelete"
}

Checklist

• No secrets, sensitive information, or unrelated changes
• Lint checks passing (make lint)
• Generated assets in-sync (make validate-generated-assets)
• Go mod artifacts in-sync (make validate-modules)
• Test cases are added for new code paths

Testing

Verified that we no longer get the error when we delete the pod:

Checking nvidia driver pod
NAME READY STATUS RESTARTS AGE
nvidia-gpu-driver-ubuntu22.04-7bc55f95b6-ltr4c 1/1 Running 0 2m36s
Checking nvidia driver pod readiness
nvidia driver pod is ready
checking nvidia-driver-daemonset labels
SUCCESS: Pod nvidia-gpu-driver-ubuntu22.04-7bc55f95b6-ltr4c has correct labels: cloudprovider=aws, platform=kubernetes
=== test_custom_labels_override PASSED ===

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[JunAr7112]

/ok-to-test 7fc37a0

[tariq1890]

Is this comment true? If it was, wouldn't this test fail consistently?

[JunAr7112]

@tariq1890 I believe test_driver_image_updates() will delete the old pod on a rerun allowing the rerun to succeed even if the test originally fails.