github/kubernetes
1
0
Fork 0
mirror of https://github.com/k3s-io/kubernetes.git synced 2025-08-11 21:12:07 +00:00
Code Issues Projects Releases Wiki Activity

e2e_node: install gpu pod with PodClient

Browse Source 
Prior to this change, the pod was not getting scheduled on the node as
we don't have a running scheduler in e2e_node. PodClient solves this
problem by manually assigning the pod to the node.
This commit is contained in:
Danielle Lancashire 2021-08-26 14:22:22 +02:00
parent 0cc8af82a1
commit 7d7884c0e6
1 changed files with 4 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
test/e2e_node/gpu_device_plugin_test.go
View File

@ -54,8 +54,7 @@ func NVIDIADevicePlugin() *v1.Pod {
framework.ExpectNoError(err) framework.ExpectNoError(err)
p := &v1.Pod{ p := &v1.Pod{
ObjectMeta: metav1.ObjectMeta{ ObjectMeta: metav1.ObjectMeta{
Name: "device-plugin-nvidia-gpu-" + string(uuid.NewUUID()), Name: "device-plugin-nvidia-gpu-" + string(uuid.NewUUID()),
Namespace: metav1.NamespaceSystem,
}, },
Spec: ds.Spec.Template.Spec, Spec: ds.Spec.Template.Spec,
} }
@ -70,7 +69,6 @@ var _ = SIGDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugin][NodeFeat
ginkgo.Context("DevicePlugin", func() { ginkgo.Context("DevicePlugin", func() {
var devicePluginPod *v1.Pod var devicePluginPod *v1.Pod
var err error
ginkgo.BeforeEach(func() { ginkgo.BeforeEach(func() {
ginkgo.By("Ensuring that Nvidia GPUs exists on the node") ginkgo.By("Ensuring that Nvidia GPUs exists on the node")
if !checkIfNvidiaGPUsExistOnNode() { if !checkIfNvidiaGPUsExistOnNode() {
@ -81,14 +79,13 @@ var _ = SIGDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugin][NodeFeat
ginkgo.Skip("Test works only with in-tree dockershim. Skipping test.") ginkgo.Skip("Test works only with in-tree dockershim. Skipping test.")
} }
ginkgo.By("Creating the Google Device Plugin pod for NVIDIA GPU in GKE") ginkgo.By("Creating the Google Device Plugin pod for NVIDIA GPU")
devicePluginPod, err = f.ClientSet.CoreV1().Pods(metav1.NamespaceSystem).Create(context.TODO(), NVIDIADevicePlugin(), metav1.CreateOptions{}) devicePluginPod = f.PodClient().Create(NVIDIADevicePlugin())
framework.ExpectNoError(err)
ginkgo.By("Waiting for GPUs to become available on the local node") ginkgo.By("Waiting for GPUs to become available on the local node")
gomega.Eventually(func() bool { gomega.Eventually(func() bool {
return numberOfNVIDIAGPUs(getLocalNode(f)) > 0 return numberOfNVIDIAGPUs(getLocalNode(f)) > 0
}, 5*time.Minute, framework.Poll).Should(gomega.BeTrue()) }, 5*time.Minute, framework.Poll).Should(gomega.BeTrue(), "GPUs never became available on the local node")
if numberOfNVIDIAGPUs(getLocalNode(f)) < 2 { if numberOfNVIDIAGPUs(getLocalNode(f)) < 2 {
ginkgo.Skip("Not enough GPUs to execute this test (at least two needed)") ginkgo.Skip("Not enough GPUs to execute this test (at least two needed)")