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Support TFJob(kubeflow) in Multikueue (#2626)
* add kubeflow tfjob adapter * update multikueue e2e test scripts to support running tfjob * add multikueue tests for tfjob * add kubeflow tfjobs integration tests * Tests fix-up * rework after code review * update docs --------- Co-authored-by: Traian Schiau <traian_schiau@epam.com>
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@@ -301,6 +301,7 @@ rules: | |
- tfjobs/status | ||
verbs: | ||
- get | ||
- patch | ||
- update | ||
- apiGroups: | ||
- kubeflow.org | ||
|
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Original file line number | Diff line number | Diff line change |
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@@ -300,6 +300,7 @@ rules: | |
- tfjobs/status | ||
verbs: | ||
- get | ||
- patch | ||
- update | ||
- apiGroups: | ||
- kubeflow.org | ||
|
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117 changes: 117 additions & 0 deletions
117
pkg/controller/jobs/kubeflow/jobs/tfjob/tfjob_multikueue_adapter.go
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/* | ||
Copyright 2024 The Kubernetes Authors. | ||
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. | ||
*/ | ||
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package tfjob | ||
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import ( | ||
"context" | ||
"errors" | ||
"fmt" | ||
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kftraining "github.com/kubeflow/training-operator/pkg/apis/kubeflow.org/v1" | ||
"k8s.io/apimachinery/pkg/runtime" | ||
"k8s.io/apimachinery/pkg/runtime/schema" | ||
"k8s.io/apimachinery/pkg/types" | ||
"k8s.io/klog/v2" | ||
"sigs.k8s.io/controller-runtime/pkg/client" | ||
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kueuealpha "sigs.k8s.io/kueue/apis/kueue/v1alpha1" | ||
"sigs.k8s.io/kueue/pkg/controller/constants" | ||
"sigs.k8s.io/kueue/pkg/controller/jobframework" | ||
"sigs.k8s.io/kueue/pkg/util/api" | ||
clientutil "sigs.k8s.io/kueue/pkg/util/client" | ||
) | ||
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type multikueueAdapter struct{} | ||
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var _ jobframework.MultiKueueAdapter = (*multikueueAdapter)(nil) | ||
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func (b *multikueueAdapter) SyncJob(ctx context.Context, localClient client.Client, remoteClient client.Client, key types.NamespacedName, workloadName, origin string) error { | ||
localJob := kftraining.TFJob{} | ||
err := localClient.Get(ctx, key, &localJob) | ||
if err != nil { | ||
return err | ||
} | ||
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remoteJob := &kftraining.TFJob{} | ||
err = remoteClient.Get(ctx, key, remoteJob) | ||
if client.IgnoreNotFound(err) != nil { | ||
return err | ||
} | ||
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// if the remote exists, just copy the status | ||
if err == nil { | ||
return clientutil.PatchStatus(ctx, localClient, &localJob, func() (bool, error) { | ||
localJob.Status = remoteJob.Status | ||
return true, nil | ||
}) | ||
} | ||
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remoteJob = &kftraining.TFJob{ | ||
ObjectMeta: api.CloneObjectMetaForCreation(&localJob.ObjectMeta), | ||
Spec: *localJob.Spec.DeepCopy(), | ||
} | ||
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// add the prebuilt workload | ||
if remoteJob.Labels == nil { | ||
remoteJob.Labels = make(map[string]string, 2) | ||
} | ||
remoteJob.Labels[constants.PrebuiltWorkloadLabel] = workloadName | ||
remoteJob.Labels[kueuealpha.MultiKueueOriginLabel] = origin | ||
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return remoteClient.Create(ctx, remoteJob) | ||
} | ||
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func (b *multikueueAdapter) DeleteRemoteObject(ctx context.Context, remoteClient client.Client, key types.NamespacedName) error { | ||
job := kftraining.TFJob{} | ||
err := remoteClient.Get(ctx, key, &job) | ||
if err != nil { | ||
return client.IgnoreNotFound(err) | ||
} | ||
return client.IgnoreNotFound(remoteClient.Delete(ctx, &job)) | ||
} | ||
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func (b *multikueueAdapter) KeepAdmissionCheckPending() bool { | ||
return false | ||
} | ||
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func (b *multikueueAdapter) IsJobManagedByKueue(ctx context.Context, c client.Client, key types.NamespacedName) (bool, string, error) { | ||
return true, "", nil | ||
} | ||
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func (b *multikueueAdapter) GVK() schema.GroupVersionKind { | ||
return gvk | ||
} | ||
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var _ jobframework.MultiKueueWatcher = (*multikueueAdapter)(nil) | ||
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func (*multikueueAdapter) GetEmptyList() client.ObjectList { | ||
return &kftraining.TFJobList{} | ||
} | ||
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func (*multikueueAdapter) WorkloadKeyFor(o runtime.Object) (types.NamespacedName, error) { | ||
tfJob, isTfJob := o.(*kftraining.TFJob) | ||
if !isTfJob { | ||
return types.NamespacedName{}, errors.New("not a TFJob") | ||
} | ||
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prebuiltWl, hasPrebuiltWorkload := tfJob.Labels[constants.PrebuiltWorkloadLabel] | ||
if !hasPrebuiltWorkload { | ||
return types.NamespacedName{}, fmt.Errorf("no prebuilt workload found for TFJob: %s", klog.KObj(tfJob)) | ||
} | ||
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return types.NamespacedName{Name: prebuiltWl, Namespace: tfJob.Namespace}, nil | ||
} |
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