mirror of
https://github.com/k3s-io/kubernetes.git
synced 2025-07-31 15:25:57 +00:00
Added device plugin e2e kubelet failure test
Signed-off-by: Renaud Gaubert <renaud.gaubert@gmail.com>
This commit is contained in:
parent
46ff2c44c7
commit
6993612cec
@ -17,6 +17,7 @@ go_library(
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"framework.go",
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"get-kubemark-resource-usage.go",
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"google_compute.go",
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"gpu_util.go",
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"ingress_utils.go",
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"jobs_util.go",
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"kubelet_stats.go",
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@ -121,6 +122,7 @@ go_library(
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"//vendor/k8s.io/apimachinery/pkg/util/sets:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/util/uuid:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/util/wait:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/util/yaml:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/version:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/watch:go_default_library",
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"//vendor/k8s.io/client-go/discovery:go_default_library",
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66
test/e2e/framework/gpu_util.go
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66
test/e2e/framework/gpu_util.go
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@ -0,0 +1,66 @@
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/*
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Copyright 2017 The Kubernetes Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package framework
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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/apimachinery/pkg/util/uuid"
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)
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const (
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// GPUResourceName is the extended name of the GPU resource since v1.8
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// this uses the device plugin mechanism
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NVIDIAGPUResourceName = "nvidia.com/gpu"
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// TODO: Parametrize it by making it a feature in TestFramework.
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// so we can override the daemonset in other setups (non COS).
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// GPUDevicePluginDSYAML is the official Google Device Plugin Daemonset NVIDIA GPU manifest for GKE
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GPUDevicePluginDSYAML = "https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/device-plugin-daemonset.yaml"
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)
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// TODO make this generic and not linked to COS only
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// NumberOfGPUs returs the number of GPUs advertised by a node
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// This is based on the Device Plugin system and expected to run on a COS based node
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// After the NVIDIA drivers were installed
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func NumberOfNVIDIAGPUs(node *v1.Node) int64 {
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val, ok := node.Status.Capacity[NVIDIAGPUResourceName]
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if !ok {
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return 0
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}
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return val.Value()
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}
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// NVIDIADevicePlugin returns the official Google Device Plugin pod for NVIDIA GPU in GKE
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func NVIDIADevicePlugin(ns string) *v1.Pod {
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ds := DsFromManifest(GPUDevicePluginDSYAML)
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p := &v1.Pod{
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ObjectMeta: metav1.ObjectMeta{
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Name: "device-plugin-nvidia-gpu-" + string(uuid.NewUUID()),
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Namespace: ns,
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},
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Spec: ds.Spec.Template.Spec,
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}
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// Remove NVIDIA drivers installation
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p.Spec.InitContainers = []v1.Container{}
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return p
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}
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@ -65,6 +65,7 @@ import (
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"k8s.io/apimachinery/pkg/util/sets"
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"k8s.io/apimachinery/pkg/util/uuid"
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"k8s.io/apimachinery/pkg/util/wait"
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utilyaml "k8s.io/apimachinery/pkg/util/yaml"
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"k8s.io/apimachinery/pkg/watch"
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"k8s.io/client-go/discovery"
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"k8s.io/client-go/dynamic"
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@ -5015,3 +5016,33 @@ func DumpDebugInfo(c clientset.Interface, ns string) {
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func IsRetryableAPIError(err error) bool {
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return apierrs.IsTimeout(err) || apierrs.IsServerTimeout(err) || apierrs.IsTooManyRequests(err) || apierrs.IsInternalError(err)
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}
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// DsFromManifest reads a .json/yaml file and returns the daemonset in it.
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func DsFromManifest(url string) *extensions.DaemonSet {
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var controller extensions.DaemonSet
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Logf("Parsing ds from %v", url)
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var response *http.Response
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var err error
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for i := 1; i <= 5; i++ {
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response, err = http.Get(url)
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if err == nil && response.StatusCode == 200 {
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break
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}
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time.Sleep(time.Duration(i) * time.Second)
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}
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Expect(err).NotTo(HaveOccurred())
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Expect(response.StatusCode).To(Equal(200))
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defer response.Body.Close()
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data, err := ioutil.ReadAll(response.Body)
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Expect(err).NotTo(HaveOccurred())
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json, err := utilyaml.ToJSON(data)
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Expect(err).NotTo(HaveOccurred())
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Expect(runtime.DecodeInto(api.Codecs.UniversalDecoder(), json, &controller)).NotTo(HaveOccurred())
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return &controller
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}
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@ -34,17 +34,14 @@ go_library(
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"//vendor/github.com/onsi/gomega:go_default_library",
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"//vendor/github.com/stretchr/testify/assert:go_default_library",
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"//vendor/k8s.io/api/core/v1:go_default_library",
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"//vendor/k8s.io/api/extensions/v1beta1:go_default_library",
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"//vendor/k8s.io/api/scheduling/v1alpha1:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/api/errors:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/api/resource:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/apis/meta/v1:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/labels:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/runtime:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/types:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/util/sets:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/util/uuid:go_default_library",
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"//vendor/k8s.io/apimachinery/pkg/util/yaml:go_default_library",
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"//vendor/k8s.io/client-go/kubernetes:go_default_library",
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],
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)
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@ -17,19 +17,13 @@ limitations under the License.
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package scheduling
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import (
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"io/ioutil"
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"net/http"
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"strings"
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"time"
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"k8s.io/api/core/v1"
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extensions "k8s.io/api/extensions/v1beta1"
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"k8s.io/apimachinery/pkg/api/resource"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/apimachinery/pkg/runtime"
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"k8s.io/apimachinery/pkg/util/uuid"
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utilyaml "k8s.io/apimachinery/pkg/util/yaml"
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"k8s.io/kubernetes/pkg/api"
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"k8s.io/kubernetes/test/e2e/framework"
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imageutils "k8s.io/kubernetes/test/utils/image"
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@ -168,8 +162,8 @@ func testNvidiaGPUsOnCOS(f *framework.Framework) {
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framework.Logf("Cluster is running on COS. Proceeding with test")
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if f.BaseName == "device-plugin-gpus" {
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dsYamlUrl = "https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/device-plugin-daemonset.yaml"
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gpuResourceName = "nvidia.com/gpu"
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dsYamlUrl = framework.GPUDevicePluginDSYAML
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gpuResourceName = framework.NVIDIAGPUResourceName
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podCreationFunc = makeCudaAdditionDevicePluginTestPod
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} else {
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dsYamlUrl = "https://raw.githubusercontent.com/ContainerEngine/accelerators/master/cos-nvidia-gpu-installer/daemonset.yaml"
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@ -180,7 +174,7 @@ func testNvidiaGPUsOnCOS(f *framework.Framework) {
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// GPU drivers might have already been installed.
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if !areGPUsAvailableOnAllSchedulableNodes(f) {
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// Install Nvidia Drivers.
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ds := dsFromManifest(dsYamlUrl)
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ds := framework.DsFromManifest(dsYamlUrl)
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ds.Namespace = f.Namespace.Name
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_, err := f.ClientSet.Extensions().DaemonSets(f.Namespace.Name).Create(ds)
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framework.ExpectNoError(err, "failed to create daemonset")
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@ -202,34 +196,6 @@ func testNvidiaGPUsOnCOS(f *framework.Framework) {
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}
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}
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// dsFromManifest reads a .json/yaml file and returns the daemonset in it.
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func dsFromManifest(url string) *extensions.DaemonSet {
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var controller extensions.DaemonSet
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framework.Logf("Parsing ds from %v", url)
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var response *http.Response
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var err error
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for i := 1; i <= 5; i++ {
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response, err = http.Get(url)
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if err == nil && response.StatusCode == 200 {
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break
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}
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time.Sleep(time.Duration(i) * time.Second)
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}
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Expect(err).NotTo(HaveOccurred())
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Expect(response.StatusCode).To(Equal(200))
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defer response.Body.Close()
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data, err := ioutil.ReadAll(response.Body)
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Expect(err).NotTo(HaveOccurred())
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json, err := utilyaml.ToJSON(data)
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Expect(err).NotTo(HaveOccurred())
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Expect(runtime.DecodeInto(api.Codecs.UniversalDecoder(), json, &controller)).NotTo(HaveOccurred())
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return &controller
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}
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var _ = SIGDescribe("[Feature:GPU]", func() {
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f := framework.NewDefaultFramework("gpus")
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It("run Nvidia GPU tests on Container Optimized OS only", func() {
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@ -247,7 +213,7 @@ var _ = SIGDescribe("[Feature:GPUDevicePlugin]", func() {
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// 2. Verifies that when the device plugin DaemonSet is removed, resource capacity drops to zero.
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By("Deleting device plugin daemonset")
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ds := dsFromManifest(dsYamlUrl)
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ds := framework.DsFromManifest(dsYamlUrl)
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falseVar := false
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err := f.ClientSet.Extensions().DaemonSets(f.Namespace.Name).Delete(ds.Name, &metav1.DeleteOptions{OrphanDependents: &falseVar})
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framework.ExpectNoError(err, "failed to delete daemonset")
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@ -12,6 +12,7 @@ go_library(
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"container.go",
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"doc.go",
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"docker_util.go",
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"gpu_device_plugin.go",
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"gpus.go",
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"image_list.go",
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"simple_mount.go",
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164
test/e2e_node/gpu_device_plugin.go
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164
test/e2e_node/gpu_device_plugin.go
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@ -0,0 +1,164 @@
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/*
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Copyright 2017 The Kubernetes Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package e2e_node
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import (
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"fmt"
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"os/exec"
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"time"
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"k8s.io/api/core/v1"
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"k8s.io/apimachinery/pkg/api/resource"
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metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
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"k8s.io/apimachinery/pkg/util/uuid"
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"k8s.io/kubernetes/pkg/kubelet/apis/kubeletconfig"
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"k8s.io/kubernetes/test/e2e/framework"
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. "github.com/onsi/ginkgo"
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. "github.com/onsi/gomega"
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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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sleepTimeout = 30
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)
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// Serial because the test restarts Kubelet
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var _ = framework.KubeDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugin] [Serial] [Disruptive]", func() {
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f := framework.NewDefaultFramework("device-plugin-gpus-errors")
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Context("", func() {
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BeforeEach(func() {
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By("Ensuring that Nvidia GPUs exists on the node")
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if !checkIfNvidiaGPUsExistOnNode() {
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Skip("Nvidia GPUs do not exist on the node. Skipping test.")
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}
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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 += "," + devicePluginFeatureGate
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})
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By("Creating the Google Device Plugin pod for NVIDIA GPU in GKE")
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f.PodClient().CreateSync(framework.NVIDIADevicePlugin(f.Namespace.Name))
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By("Waiting for GPUs to become available on the local node")
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Eventually(framework.NumberOfNVIDIAGPUs(getLocalNode(f)) != 0, time.Minute, time.Second).Should(BeTrue())
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if framework.NumberOfNVIDIAGPUs(getLocalNode(f)) < 2 {
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Skip("Not enough GPUs to execute this test (at least two needed)")
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}
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})
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AfterEach(func() {
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l, err := f.PodClient().List(metav1.ListOptions{})
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framework.ExpectNoError(err)
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for _, p := range l.Items {
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if p.Namespace != f.Namespace.Name {
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continue
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}
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f.PodClient().Delete(p.Name, &metav1.DeleteOptions{})
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}
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})
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It("checks that when Kubelet restarts exclusive GPU assignation to pods is kept.", func() {
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n := getLocalNode(f)
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By("Creating one GPU pod on a node with at least two GPUs")
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p1 := f.PodClient().CreateSync(makeCudaPauseImage())
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cmd := fmt.Sprintf("exec %s %s nvidia-smi -L", n.Name, p1.Spec.Containers[0].Name)
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uuid1, _ := framework.RunKubectl(cmd)
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By("Restarting Kubelet and waiting for the current running pod to restart")
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restartKubelet(f)
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Eventually(func() bool {
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p, err := f.PodClient().Get(p1.Name, metav1.GetOptions{})
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framework.ExpectNoError(err)
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return p.Status.ContainerStatuses[0].RestartCount != p1.Status.ContainerStatuses[0].RestartCount
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}, 2*sleepTimeout)
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By("Confirming that after a kubelet and pod restart, GPU assignement is kept")
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uuid1Restart, _ := framework.RunKubectl(cmd)
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Expect(uuid1Restart).To(Equal(uuid1))
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By("Restarting Kubelet and creating another pod")
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restartKubelet(f)
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p2 := f.PodClient().CreateSync(makeCudaPauseImage())
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By("Checking that pods got a different GPU")
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cmd = fmt.Sprintf("exec %s %s nvidia-smi -L", n.Name, p2.Spec.Containers[0].Name)
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uuid2, _ := framework.RunKubectl(cmd)
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Expect(uuid1).To(Not(Equal(uuid2)))
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// Cleanup
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f.PodClient().DeleteSync(p1.Name, &metav1.DeleteOptions{}, framework.DefaultPodDeletionTimeout)
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f.PodClient().DeleteSync(p2.Name, &metav1.DeleteOptions{}, framework.DefaultPodDeletionTimeout)
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})
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})
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})
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func makeCudaPauseImage() *v1.Pod {
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podName := testPodNamePrefix + string(uuid.NewUUID())
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return &v1.Pod{
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ObjectMeta: metav1.ObjectMeta{Name: podName},
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Spec: v1.PodSpec{
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RestartPolicy: v1.RestartPolicyAlways,
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Containers: []v1.Container{{
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Name: "cuda-pause",
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Image: "nvidia/cuda",
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Command: []string{"sleep", string(sleepTimeout)},
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Resources: v1.ResourceRequirements{
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Limits: newDecimalResourceList(framework.NVIDIAGPUResourceName, 1),
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Requests: newDecimalResourceList(framework.NVIDIAGPUResourceName, 1),
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},
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}},
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},
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}
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}
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func newDecimalResourceList(name v1.ResourceName, quantity int64) v1.ResourceList {
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return v1.ResourceList{name: *resource.NewQuantity(quantity, resource.DecimalSI)}
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}
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// TODO: Find a uniform way to deal with systemctl/initctl/service operations. #34494
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func restartKubelet(f *framework.Framework) {
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stdout1, err1 := exec.Command("sudo", "systemctl", "restart", "kubelet").CombinedOutput()
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if err1 == nil {
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return
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}
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stdout2, err2 := exec.Command("sudo", "/etc/init.d/kubelet", "restart").CombinedOutput()
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if err2 == nil {
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return
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}
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stdout3, err3 := exec.Command("sudo", "service", "kubelet", "restart").CombinedOutput()
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if err3 == nil {
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return
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}
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framework.Failf("Failed to trigger kubelet restart with systemctl/initctl/service operations:"+
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"\nsystemclt: %v, %v"+
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"\ninitctl: %v, %v"+
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"\nservice: %v, %v", err1, stdout1, err2, stdout2, err3, stdout3)
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}
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