intel-device-plugins-for-ku.../pkg/apis/deviceplugin/v1/gpudeviceplugin_webhook.go
Xu, Guoshu e4c4a8f7ac GPU devices resource preferred allocation methods.
1. Implement PreferredAllocator interface.
2. Provide 3 preferred allocation policies: balancedPolicy, packedPolicy and nonePolicy.
3. Provide the cmdline interface: -allocation-policy balanced/packed/none, to select which preferred allocation policy to use.
4. Add operator support.

Co-authored-by: Mikko Ylinen <mikko.ylinen@intel.com>
2021-11-17 22:55:10 +08:00

101 lines
3.6 KiB
Go

// Copyright 2020 Intel Corporation. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package v1
import (
"github.com/pkg/errors"
"k8s.io/apimachinery/pkg/runtime"
"k8s.io/apimachinery/pkg/util/version"
ctrl "sigs.k8s.io/controller-runtime"
logf "sigs.k8s.io/controller-runtime/pkg/log"
"sigs.k8s.io/controller-runtime/pkg/webhook"
"github.com/intel/intel-device-plugins-for-kubernetes/pkg/controllers"
)
const (
gpuPluginKind = "GpuDevicePlugin"
)
var (
// gpudevicepluginlog is for logging in this package.
gpudevicepluginlog = logf.Log.WithName("gpudeviceplugin-resource")
gpuMinVersion = version.MustParseSemantic(imageMinVersion)
)
// SetupWebhookWithManager sets up a webhook for GpuDevicePlugin custom resources.
func (r *GpuDevicePlugin) SetupWebhookWithManager(mgr ctrl.Manager) error {
return ctrl.NewWebhookManagedBy(mgr).
For(r).
Complete()
}
// +kubebuilder:webhook:path=/mutate-deviceplugin-intel-com-v1-gpudeviceplugin,mutating=true,failurePolicy=fail,groups=deviceplugin.intel.com,resources=gpudeviceplugins,verbs=create;update,versions=v1,name=mgpudeviceplugin.kb.io,sideEffects=None,admissionReviewVersions=v1
var _ webhook.Defaulter = &GpuDevicePlugin{}
// Default implements webhook.Defaulter so a webhook will be registered for the type.
func (r *GpuDevicePlugin) Default() {
gpudevicepluginlog.Info("default", "name", r.Name)
if len(r.Spec.Image) == 0 {
r.Spec.Image = "intel/intel-gpu-plugin:" + gpuMinVersion.String()
}
}
// +kubebuilder:webhook:verbs=create;update,path=/validate-deviceplugin-intel-com-v1-gpudeviceplugin,mutating=false,failurePolicy=fail,groups=deviceplugin.intel.com,resources=gpudeviceplugins,versions=v1,name=vgpudeviceplugin.kb.io,sideEffects=None,admissionReviewVersions=v1
var _ webhook.Validator = &GpuDevicePlugin{}
// ValidateCreate implements webhook.Validator so a webhook will be registered for the type.
func (r *GpuDevicePlugin) ValidateCreate() error {
gpudevicepluginlog.Info("validate create", "name", r.Name)
if controllers.GetDevicePluginCount(gpuPluginKind) > 0 {
return errors.Errorf("an instance of %q already exists in the cluster", gpuPluginKind)
}
return r.validatePlugin()
}
// ValidateUpdate implements webhook.Validator so a webhook will be registered for the type.
func (r *GpuDevicePlugin) ValidateUpdate(old runtime.Object) error {
gpudevicepluginlog.Info("validate update", "name", r.Name)
return r.validatePlugin()
}
// ValidateDelete implements webhook.Validator so a webhook will be registered for the type.
func (r *GpuDevicePlugin) ValidateDelete() error {
gpudevicepluginlog.Info("validate delete", "name", r.Name)
return nil
}
func (r *GpuDevicePlugin) validatePlugin() error {
if r.Spec.InitImage != "" {
if err := validatePluginImage(r.Spec.InitImage, "intel-gpu-initcontainer", gpuMinVersion); err != nil {
return err
}
}
if r.Spec.SharedDevNum == 1 && r.Spec.PreferredAllocationPolicy != "none" {
return errors.Errorf("PreferredAllocationPolicy is valid only when setting sharedDevNum > 1")
}
return validatePluginImage(r.Spec.Image, "intel-gpu-plugin", gpuMinVersion)
}