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Update device plugin e2e_node test to not changing Kubelet config
as DevicePlugins feature is enabled by default now.
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@@ -22,8 +22,6 @@ import (
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"k8s.io/api/core/v1"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/kubernetes/pkg/features"
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"k8s.io/kubernetes/pkg/kubelet/apis/kubeletconfig"
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kubeletmetrics "k8s.io/kubernetes/pkg/kubelet/metrics"
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"k8s.io/kubernetes/test/e2e/framework"
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"k8s.io/kubernetes/test/e2e/framework/metrics"
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@@ -34,8 +32,7 @@ import (
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)
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const (
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devicePluginFeatureGate = "DevicePlugins=true"
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testPodNamePrefix = "nvidia-gpu-"
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testPodNamePrefix = "nvidia-gpu-"
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)
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// Serial because the test restarts Kubelet
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@@ -43,11 +40,6 @@ var _ = framework.KubeDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugi
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f := framework.NewDefaultFramework("device-plugin-gpus-errors")
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Context("DevicePlugin", func() {
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By("Enabling support for Device Plugin")
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tempSetCurrentKubeletConfig(f, func(initialConfig *kubeletconfig.KubeletConfiguration) {
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initialConfig.FeatureGates[string(features.DevicePlugins)] = true
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})
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var devicePluginPod *v1.Pod
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BeforeEach(func() {
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By("Ensuring that Nvidia GPUs exists on the node")
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@@ -55,8 +47,6 @@ var _ = framework.KubeDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugi
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Skip("Nvidia GPUs do not exist on the node. Skipping test.")
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}
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framework.WaitForAllNodesSchedulable(f.ClientSet, framework.TestContext.NodeSchedulableTimeout)
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By("Creating the Google Device Plugin pod for NVIDIA GPU in GKE")
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devicePluginPod = f.PodClient().CreateSync(framework.NVIDIADevicePlugin(f.Namespace.Name))
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