954996e231
- Move from the old github.com/golang/glog to k8s.io/klog - klog as explicit InitFlags() so we add them as necessary - we update the other repositories that we vendor that made a similar change from glog to klog * github.com/kubernetes/repo-infra * k8s.io/gengo/ * k8s.io/kube-openapi/ * github.com/google/cadvisor - Entirely remove all references to glog - Fix some tests by explicit InitFlags in their init() methods Change-Id: I92db545ff36fcec83afe98f550c9e630098b3135
87 lines
2.6 KiB
Go
87 lines
2.6 KiB
Go
/*
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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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. "github.com/onsi/gomega"
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"k8s.io/klog"
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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/kubernetes/kubernetes/master/cluster/addons/device-plugins/nvidia-gpu/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() *v1.Pod {
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ds, err := DsFromManifest(GPUDevicePluginDSYAML)
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Expect(err).NotTo(HaveOccurred())
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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: metav1.NamespaceSystem,
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},
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Spec: ds.Spec.Template.Spec,
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}
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// Remove node affinity
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p.Spec.Affinity = nil
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return p
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}
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func GetGPUDevicePluginImage() string {
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ds, err := DsFromManifest(GPUDevicePluginDSYAML)
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if err != nil {
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klog.Errorf("Failed to parse the device plugin image: %v", err)
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return ""
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}
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if ds == nil {
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klog.Errorf("Failed to parse the device plugin image: the extracted DaemonSet is nil")
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return ""
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}
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if len(ds.Spec.Template.Spec.Containers) < 1 {
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klog.Errorf("Failed to parse the device plugin image: cannot extract the container from YAML")
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return ""
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}
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return ds.Spec.Template.Spec.Containers[0].Image
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}
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