Adding v2 trainjob validation webhook

fixing runtime

pkg/controller.v2/trainjob_controller.go

@@ -18,14 +18,13 @@ package controllerv2
 
 import (
 	"context"
-	"errors"
 	"fmt"
+	runtimeUtils "github.com/kubeflow/training-operator/pkg/util.v2/runtime"
 
 	"github.com/go-logr/logr"
 	"k8s.io/apimachinery/pkg/runtime/schema"
 	"k8s.io/client-go/tools/record"
 	"k8s.io/klog/v2"
-	"k8s.io/utils/ptr"
 	ctrl "sigs.k8s.io/controller-runtime"
 	"sigs.k8s.io/controller-runtime/pkg/client"
 	"sigs.k8s.io/controller-runtime/pkg/client/apiutil"
@@ -34,8 +33,6 @@ import (
 	jobruntimes "github.com/kubeflow/training-operator/pkg/runtime.v2"
 )
 
-var errorUnsupportedRuntime = errors.New("the specified runtime is not supported")
-
 type TrainJobReconciler struct {
 	log      logr.Logger
 	client   client.Client
@@ -73,10 +70,10 @@ func (r *TrainJobReconciler) Reconcile(ctx context.Context, req ctrl.Request) (c
 func (r *TrainJobReconciler) createOrUpdateObjs(ctx context.Context, trainJob *kubeflowv2.TrainJob) error {
 	log := ctrl.LoggerFrom(ctx)
 
-	runtimeRefGK := runtimeRefToGroupKind(trainJob.Spec.RuntimeRef).String()
+	runtimeRefGK := runtimeUtils.RuntimeRefToGroupKind(trainJob.Spec.RuntimeRef).String()
 	runtime, ok := r.runtimes[runtimeRefGK]
 	if !ok {
-		return fmt.Errorf("%w: %s", errorUnsupportedRuntime, runtimeRefGK)
+		return fmt.Errorf("%w: %s", runtimeUtils.ErrorUnsupportedRuntime, runtimeRefGK)
 	}
 	objs, err := runtime.NewObjects(ctx, trainJob)
 	if err != nil {
@@ -117,13 +114,6 @@ func (r *TrainJobReconciler) createOrUpdateObjs(ctx context.Context, trainJob *k
 	return nil
 }
 
-func runtimeRefToGroupKind(runtimeRef kubeflowv2.RuntimeRef) schema.GroupKind {
-	return schema.GroupKind{
-		Group: ptr.Deref(runtimeRef.APIGroup, ""),
-		Kind:  ptr.Deref(runtimeRef.Kind, ""),
-	}
-}
-
 func (r *TrainJobReconciler) SetupWithManager(mgr ctrl.Manager) error {
 	b := ctrl.NewControllerManagedBy(mgr).
 		For(&kubeflowv2.TrainJob{})

pkg/runtime.v2/core/clustertrainingruntime.go

@@ -64,14 +64,17 @@ func (r *ClusterTrainingRuntime) EventHandlerRegistrars() []runtime.ReconcilerBu
 }
 
 func (r *ClusterTrainingRuntime) ValidateObjects(ctx context.Context, old, new *kubeflowv2.TrainJob) (admission.Warnings, field.ErrorList) {
+	clusterTrainingRuntime := &kubeflowv2.ClusterTrainingRuntime{}
 	if err := r.client.Get(ctx, client.ObjectKey{
-		Namespace: old.Namespace,
-		Name:      old.Spec.RuntimeRef.Name,
-	}, &kubeflowv2.ClusterTrainingRuntime{}); err != nil {
+		Namespace: new.Namespace,
+		Name:      new.Spec.RuntimeRef.Name,
+	}, clusterTrainingRuntime); err != nil {
 		return nil, field.ErrorList{
-			field.Invalid(field.NewPath("spec", "RuntimeRef"), old.Spec.RuntimeRef,
+			field.Invalid(field.NewPath("spec", "RuntimeRef"), new.Spec.RuntimeRef,
 				fmt.Sprintf("%v: specified clusterTrainingRuntime must be created before the TrainJob is created", err)),
 		}
 	}
-	return r.framework.RunCustomValidationPlugins(old, new)
+	info := r.getRuntimeInfo(ctx, new, clusterTrainingRuntime.Spec.Template, clusterTrainingRuntime.Spec.MLPolicy,
+		clusterTrainingRuntime.Spec.PodGroupPolicy)
+	return r.framework.RunCustomValidationPlugins(old, new, info)
 }

pkg/runtime.v2/core/trainingruntime.go

@@ -84,6 +84,21 @@ func (r *TrainingRuntime) NewObjects(ctx context.Context, trainJob *kubeflowv2.T
 func (r *TrainingRuntime) buildObjects(
 	ctx context.Context, trainJob *kubeflowv2.TrainJob, jobSetTemplateSpec kubeflowv2.JobSetTemplateSpec, mlPolicy *kubeflowv2.MLPolicy, podGroupPolicy *kubeflowv2.PodGroupPolicy,
 ) ([]client.Object, error) {
+
+	info := r.getRuntimeInfo(ctx, trainJob, jobSetTemplateSpec, mlPolicy, podGroupPolicy)
+	if err := r.framework.RunEnforceMLPolicyPlugins(info); err != nil {
+		return nil, err
+	}
+	err := r.framework.RunEnforcePodGroupPolicyPlugins(trainJob, info)
+	if err != nil {
+		return nil, err
+	}
+	return r.framework.RunComponentBuilderPlugins(ctx, info, trainJob)
+}
+
+func (r *TrainingRuntime) getRuntimeInfo(
+	ctx context.Context, trainJob *kubeflowv2.TrainJob, jobSetTemplateSpec kubeflowv2.JobSetTemplateSpec, mlPolicy *kubeflowv2.MLPolicy, podGroupPolicy *kubeflowv2.PodGroupPolicy) *runtime.Info {
+
 	propagationLabels := jobSetTemplateSpec.Labels
 	if propagationLabels == nil && trainJob.Spec.Labels != nil {
 		propagationLabels = make(map[string]string, len(trainJob.Spec.Labels))
@@ -118,14 +133,7 @@ func (r *TrainingRuntime) buildObjects(
 		Spec: *jobSetTemplateSpec.Spec.DeepCopy(),
 	}, opts...)
 
-	if err := r.framework.RunEnforceMLPolicyPlugins(info); err != nil {
-		return nil, err
-	}
-	err := r.framework.RunEnforcePodGroupPolicyPlugins(trainJob, info)
-	if err != nil {
-		return nil, err
-	}
-	return r.framework.RunComponentBuilderPlugins(ctx, info, trainJob)
+	return info
 }
 
 func (r *TrainingRuntime) EventHandlerRegistrars() []runtime.ReconcilerBuilder {
@@ -137,14 +145,16 @@ func (r *TrainingRuntime) EventHandlerRegistrars() []runtime.ReconcilerBuilder {
 }
 
 func (r *TrainingRuntime) ValidateObjects(ctx context.Context, old, new *kubeflowv2.TrainJob) (admission.Warnings, field.ErrorList) {
+	trainingRuntime := &kubeflowv2.TrainingRuntime{}
 	if err := r.client.Get(ctx, client.ObjectKey{
-		Namespace: old.Namespace,
-		Name:      old.Spec.RuntimeRef.Name,
-	}, &kubeflowv2.TrainingRuntime{}); err != nil {
+		Namespace: new.Namespace,
+		Name:      new.Spec.RuntimeRef.Name,
+	}, trainingRuntime); err != nil {
 		return nil, field.ErrorList{
-			field.Invalid(field.NewPath("spec", "runtimeRef"), old.Spec.RuntimeRef,
+			field.Invalid(field.NewPath("spec", "runtimeRef"), new.Spec.RuntimeRef,
 				fmt.Sprintf("%v: specified trainingRuntime must be created before the TrainJob is created", err)),
 		}
 	}
-	return r.framework.RunCustomValidationPlugins(old, new)
+	info := r.getRuntimeInfo(ctx, new, trainingRuntime.Spec.Template, trainingRuntime.Spec.MLPolicy, trainingRuntime.Spec.PodGroupPolicy)
+	return r.framework.RunCustomValidationPlugins(old, new, info)
 }

pkg/runtime.v2/framework/core/framework.go

@@ -89,11 +89,12 @@ func (f *Framework) RunEnforcePodGroupPolicyPlugins(trainJob *kubeflowv2.TrainJo
 	return nil
 }
 
-func (f *Framework) RunCustomValidationPlugins(oldObj, newObj *kubeflowv2.TrainJob) (admission.Warnings, field.ErrorList) {
+func (f *Framework) RunCustomValidationPlugins(oldObj, newObj *kubeflowv2.TrainJob,
+	runtimeInfo *runtime.Info) (admission.Warnings, field.ErrorList) {
 	var aggregatedWarnings admission.Warnings
 	var aggregatedErrors field.ErrorList
 	for _, plugin := range f.customValidationPlugins {
-		warnings, errs := plugin.Validate(oldObj, newObj)
+		warnings, errs := plugin.Validate(oldObj, newObj, runtimeInfo)
 		if len(warnings) != 0 {
 			aggregatedWarnings = append(aggregatedWarnings, warnings...)
 		}

pkg/runtime.v2/framework/core/framework_test.go

@@ -80,6 +80,7 @@ func TestNew(t *testing.T) {
 				customValidationPlugins: []framework.CustomValidationPlugin{
 					&mpi.MPI{},
 					&torch.Torch{},
+					&jobset.JobSet{},
 				},
 				watchExtensionPlugins: []framework.WatchExtensionPlugin{
 					&coscheduling.CoScheduling{},
@@ -314,7 +315,8 @@ func TestRunCustomValidationPlugins(t *testing.T) {
 			if err != nil {
 				t.Fatal(err)
 			}
-			warnings, errs := fwk.RunCustomValidationPlugins(tc.oldObj, tc.newObj)
+			runtimeInfo := runtime.NewInfo(testingutil.MakeJobSetWrapper(metav1.NamespaceDefault, "test").Obj())
+			warnings, errs := fwk.RunCustomValidationPlugins(tc.oldObj, tc.newObj, runtimeInfo)
 			if diff := cmp.Diff(tc.wantWarnings, warnings, cmpopts.SortSlices(func(a, b string) bool { return a < b })); len(diff) != 0 {
 				t.Errorf("Unexpected warninigs (-want,+got):\n%s", diff)
 			}

pkg/runtime.v2/framework/interface.go

@@ -48,7 +48,7 @@ type EnforceMLPolicyPlugin interface {
 
 type CustomValidationPlugin interface {
 	Plugin
-	Validate(oldObj, newObj *kubeflowv2.TrainJob) (admission.Warnings, field.ErrorList)
+	Validate(oldObj, newObj *kubeflowv2.TrainJob, runtimeInfo *runtime.Info) (admission.Warnings, field.ErrorList)
 }
 
 type ComponentBuilderPlugin interface {

pkg/runtime.v2/framework/plugins/jobset/jobset.go

@@ -19,7 +19,9 @@ package jobset
 import (
 	"context"
 	"fmt"
+	"k8s.io/apimachinery/pkg/util/validation/field"
 	"maps"
+	"sigs.k8s.io/controller-runtime/pkg/webhook/admission"
 
 	"github.com/go-logr/logr"
 	batchv1 "k8s.io/api/batch/v1"
@@ -50,6 +52,7 @@ type JobSet struct {
 
 var _ framework.WatchExtensionPlugin = (*JobSet)(nil)
 var _ framework.ComponentBuilderPlugin = (*JobSet)(nil)
+var _ framework.CustomValidationPlugin = (*JobSet)(nil)
 
 const Name = "JobSet"
 
@@ -140,3 +143,115 @@ func (j *JobSet) ReconcilerBuilders() []runtime.ReconcilerBuilder {
 		},
 	}
 }
+
+func (j *JobSet) Validate(oldObj, newObj *kubeflowv2.TrainJob, runtimeInfo *runtime.Info) (admission.Warnings, field.ErrorList) {
+
+	var allErrs field.ErrorList
+	specPath := field.NewPath("spec")
+
+	jobSet, ok := runtimeInfo.Obj.(*jobsetv1alpha2.JobSet)
+	if !ok {
+		return nil, nil
+	}
+
+	if newObj.Spec.ModelConfig != nil {
+		// validate `model-initializer` container in the `Initializer` Job
+		if newObj.Spec.ModelConfig.Input != nil {
+			modelConfigInputPath := specPath.Child("modelConfig").Child("input")
+			if len(jobSet.Spec.ReplicatedJobs) == 0 {
+				allErrs = append(allErrs, field.Invalid(modelConfigInputPath, newObj.Spec.ModelConfig.Input, "trainingRuntime should have replicated jobs configured with model config input set"))
+			} else {
+				initializerJobFound := false
+				modelInitializerContainerFound := false
+				for _, job := range jobSet.Spec.ReplicatedJobs {
+					if job.Name == "Initializer" {
+						initializerJobFound = true
+						for _, container := range job.Template.Spec.Template.Spec.Containers {
+							if container.Name == "model-initializer" {
+								modelInitializerContainerFound = true
+							}
+						}
+					}
+				}
+				if !initializerJobFound {
+					allErrs = append(allErrs, field.Invalid(modelConfigInputPath, newObj.Spec.ModelConfig.Input, "trainingRuntime should have replicated job configured with name - Initializer"))
+				} else if !modelInitializerContainerFound {
+					allErrs = append(allErrs, field.Invalid(modelConfigInputPath, newObj.Spec.ModelConfig.Input, "trainingRuntime with replicated job initializer should have container with name - model-initializer"))
+				}
+			}
+		}
+
+		// validate `model-exporter` container in the `Exporter` Job
+		if newObj.Spec.ModelConfig.Output != nil {
+			modelConfigOutputPath := specPath.Child("modelConfig").Child("output")
+			if len(jobSet.Spec.ReplicatedJobs) == 0 {
+				allErrs = append(allErrs, field.Invalid(modelConfigOutputPath, newObj.Spec.ModelConfig.Output, "trainingRuntime should have replicated jobs configured with model config output set"))
+			} else {
+				exporterJobFound := false
+				modelExporterContainerFound := false
+				for _, job := range jobSet.Spec.ReplicatedJobs {
+					if job.Name == "Exporter" {
+						exporterJobFound = true
+						for _, container := range job.Template.Spec.Template.Spec.Containers {
+							if container.Name == "model-exporter" {
+								modelExporterContainerFound = true
+							}
+						}
+					}
+				}
+				if !exporterJobFound {
+					allErrs = append(allErrs, field.Invalid(modelConfigOutputPath, newObj.Spec.ModelConfig.Output, "trainingRuntime should have replicated job configured with name - Exporter"))
+				} else if !modelExporterContainerFound {
+					allErrs = append(allErrs, field.Invalid(modelConfigOutputPath, newObj.Spec.ModelConfig.Output, "trainingRuntime with replicated job Exporter should have container with name - model-exporter"))
+				}
+			}
+		}
+	}
+
+	if len(newObj.Spec.PodSpecOverrides) != 0 {
+		podSpecOverridesPath := specPath.Child("podSpecOverrides")
+		jobsMap := map[string]bool{}
+		for _, job := range jobSet.Spec.ReplicatedJobs {
+			jobsMap[job.Name] = true
+		}
+		// validate if jobOverrides are valid
+		for idx, override := range newObj.Spec.PodSpecOverrides {
+			for _, job := range override.TargetJobs {
+				if _, found := jobsMap[job.Name]; !found {
+					allErrs = append(allErrs, field.Invalid(podSpecOverridesPath, newObj.Spec.PodSpecOverrides, fmt.Sprintf("job: %s, configured in the podOverride should be present in the referenced training runtime", job)))
+				}
+			}
+			if len(override.Containers) != 0 {
+				// validate if containerOverrides are valid
+				containerMap := map[string]bool{}
+				for _, job := range jobSet.Spec.ReplicatedJobs {
+					for _, container := range job.Template.Spec.Template.Spec.Containers {
+						containerMap[container.Name] = true
+					}
+				}
+				containerOverridePath := podSpecOverridesPath.Index(idx)
+				for _, container := range override.Containers {
+					if _, found := containerMap[container.Name]; !found {
+						allErrs = append(allErrs, field.Invalid(containerOverridePath, override.Containers, fmt.Sprintf("container: %s, configured in the containerOverride should be present in the referenced training runtime", container.Name)))
+					}
+				}
+			}
+			if len(override.InitContainers) != 0 {
+				// validate if initContainerOverrides are valid
+				initContainerMap := map[string]bool{}
+				for _, job := range jobSet.Spec.ReplicatedJobs {
+					for _, initContainer := range job.Template.Spec.Template.Spec.InitContainers {
+						initContainerMap[initContainer.Name] = true
+					}
+				}
+				initContainerOverridePath := podSpecOverridesPath.Index(idx)
+				for _, container := range override.Containers {
+					if _, found := initContainerMap[container.Name]; !found {
+						allErrs = append(allErrs, field.Invalid(initContainerOverridePath, override.InitContainers, fmt.Sprintf("initContainer: %s, configured in the initContainerOverride should be present in the referenced training runtime", container.Name)))
+					}
+				}
+			}
+		}
+	}
+	return nil, allErrs
+}

pkg/runtime.v2/framework/plugins/mpi/mpi.go

@@ -18,6 +18,7 @@ package mpi
 
 import (
 	"context"
+	"strconv"
 
 	"k8s.io/apimachinery/pkg/util/validation/field"
 	"sigs.k8s.io/controller-runtime/pkg/client"
@@ -55,7 +56,16 @@ func (m *MPI) EnforceMLPolicy(info *runtime.Info) error {
 	return nil
 }
 
-// TODO: Need to implement validations for MPIJob.
-func (m *MPI) Validate(oldObj, newObj *kubeflowv2.TrainJob) (admission.Warnings, field.ErrorList) {
-	return nil, nil
+func (m *MPI) Validate(oldJobObj, newJobObj *kubeflowv2.TrainJob, runtimeInfo *runtime.Info) (admission.Warnings, field.ErrorList) {
+	var allErrs field.ErrorList
+	specPath := field.NewPath("spec")
+	if newJobObj.Spec.Trainer != nil {
+		numProcPerNodePath := specPath.Child("trainer").Child("numProcPerNode")
+		if runtimeInfo.MLPolicy.MPI != nil {
+			if _, err := strconv.Atoi(*newJobObj.Spec.Trainer.NumProcPerNode); err != nil {
+				allErrs = append(allErrs, field.Invalid(numProcPerNodePath, newJobObj.Spec.Trainer.NumProcPerNode, "should have an int value"))
+			}
+		}
+	}
+	return nil, allErrs
 }

pkg/runtime.v2/framework/plugins/torch/torch.go

@@ -18,6 +18,8 @@ package torch
 
 import (
 	"context"
+	"k8s.io/utils/strings/slices"
+	"strconv"
 
 	"k8s.io/apimachinery/pkg/util/validation/field"
 	"sigs.k8s.io/controller-runtime/pkg/client"
@@ -51,7 +53,20 @@ func (t *Torch) EnforceMLPolicy(info *runtime.Info) error {
 	return nil
 }
 
-// TODO: Need to implement validateions for TorchJob.
-func (t *Torch) Validate(oldObj, newObj *kubeflowv2.TrainJob) (admission.Warnings, field.ErrorList) {
-	return nil, nil
+func (t *Torch) Validate(oldObj, newObj *kubeflowv2.TrainJob, runtimeInfo *runtime.Info) (admission.Warnings, field.ErrorList) {
+	var allErrs field.ErrorList
+	specPath := field.NewPath("spec")
+
+	if newObj.Spec.Trainer != nil {
+		numProcPerNodePath := specPath.Child("trainer").Child("numProcPerNode")
+		if runtimeInfo.MLPolicy.Torch != nil {
+			allowedStringValList := []string{"auto", "cpu", "gpu"}
+			if !slices.Contains(allowedStringValList, *newObj.Spec.Trainer.NumProcPerNode) {
+				if _, err := strconv.Atoi(*newObj.Spec.Trainer.NumProcPerNode); err != nil {
+					allErrs = append(allErrs, field.Invalid(numProcPerNodePath, newObj.Spec.Trainer.NumProcPerNode, "should have an int value or auto/cpu/gpu"))
+				}
+			}
+		}
+	}
+	return nil, allErrs
 }

pkg/util.v2/runtime/runtime.go

@@ -0,0 +1,17 @@
+package runtime
+
+import (
+	"errors"
+	kubeflowv2 "github.com/kubeflow/training-operator/pkg/apis/kubeflow.org/v2alpha1"
+	"k8s.io/apimachinery/pkg/runtime/schema"
+	"k8s.io/utils/ptr"
+)
+
+var ErrorUnsupportedRuntime = errors.New("the specified runtime is not supported")
+
+func RuntimeRefToGroupKind(runtimeRef kubeflowv2.RuntimeRef) schema.GroupKind {
+	return schema.GroupKind{
+		Group: ptr.Deref(runtimeRef.APIGroup, ""),
+		Kind:  ptr.Deref(runtimeRef.Kind, ""),
+	}
+}