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Provide Kubeflow PyTorchJob support for MultiKueue (#2735)
* Provide Kubeflow PyTorchJob support for MultiKueue * update after code review
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@@ -278,6 +278,7 @@ rules: | |
- pytorchjobs/status | ||
verbs: | ||
- get | ||
- patch | ||
- update | ||
- apiGroups: | ||
- kubeflow.org | ||
|
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@@ -277,6 +277,7 @@ rules: | |
- pytorchjobs/status | ||
verbs: | ||
- get | ||
- patch | ||
- update | ||
- apiGroups: | ||
- kubeflow.org | ||
|
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117 changes: 117 additions & 0 deletions
117
pkg/controller/jobs/kubeflow/jobs/pytorchjob/pytorch_multikueue_adapter.go
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@@ -0,0 +1,117 @@ | ||
/* | ||
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 pytorchjob | ||
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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.PyTorchJob{} | ||
err := localClient.Get(ctx, key, &localJob) | ||
if err != nil { | ||
return err | ||
} | ||
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remoteJob := &kftraining.PyTorchJob{} | ||
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.PyTorchJob{ | ||
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.PyTorchJob{} | ||
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(context.Context, client.Client, 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.PyTorchJobList{} | ||
} | ||
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func (*multikueueAdapter) WorkloadKeyFor(o runtime.Object) (types.NamespacedName, error) { | ||
pyTorchJob, isPyTorchJob := o.(*kftraining.PyTorchJob) | ||
if !isPyTorchJob { | ||
return types.NamespacedName{}, errors.New("not a PyTorchJob") | ||
} | ||
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prebuiltWl, hasPrebuiltWorkload := pyTorchJob.Labels[constants.PrebuiltWorkloadLabel] | ||
if !hasPrebuiltWorkload { | ||
return types.NamespacedName{}, fmt.Errorf("no prebuilt workload found for PyTorchJob: %s", klog.KObj(pyTorchJob)) | ||
} | ||
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return types.NamespacedName{Name: prebuiltWl, Namespace: pyTorchJob.Namespace}, nil | ||
} |
160 changes: 160 additions & 0 deletions
160
pkg/controller/jobs/kubeflow/jobs/pytorchjob/pytorch_multikueue_adapter_test.go
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@@ -0,0 +1,160 @@ | ||
/* | ||
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 pytorchjob | ||
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import ( | ||
"context" | ||
"testing" | ||
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"github.com/google/go-cmp/cmp" | ||
"github.com/google/go-cmp/cmp/cmpopts" | ||
kftraining "github.com/kubeflow/training-operator/pkg/apis/kubeflow.org/v1" | ||
corev1 "k8s.io/api/core/v1" | ||
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" | ||
"k8s.io/apimachinery/pkg/types" | ||
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"sigs.k8s.io/controller-runtime/pkg/client" | ||
"sigs.k8s.io/controller-runtime/pkg/client/interceptor" | ||
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kueuealpha "sigs.k8s.io/kueue/apis/kueue/v1alpha1" | ||
"sigs.k8s.io/kueue/pkg/controller/constants" | ||
"sigs.k8s.io/kueue/pkg/util/slices" | ||
utiltesting "sigs.k8s.io/kueue/pkg/util/testing" | ||
kfutiltesting "sigs.k8s.io/kueue/pkg/util/testingjobs/pytorchjob" | ||
) | ||
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const ( | ||
TestNamespace = "ns" | ||
) | ||
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func TestMultikueueAdapter(t *testing.T) { | ||
objCheckOpts := []cmp.Option{ | ||
cmpopts.IgnoreFields(metav1.ObjectMeta{}, "ResourceVersion"), | ||
cmpopts.EquateEmpty(), | ||
} | ||
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pyTorchJobBuilder := kfutiltesting.MakePyTorchJob("pytorchjob1", TestNamespace).Queue("queue").Suspend(false) | ||
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cases := map[string]struct { | ||
managersPyTorchJobs []kftraining.PyTorchJob | ||
workerPyTorchJobs []kftraining.PyTorchJob | ||
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operation func(ctx context.Context, adapter *multikueueAdapter, managerClient, workerClient client.Client) error | ||
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wantError error | ||
wantManagersPyTorchJobs []kftraining.PyTorchJob | ||
wantWorkerPyTorchJobs []kftraining.PyTorchJob | ||
}{ | ||
"sync creates missing remote pytorchjob": { | ||
managersPyTorchJobs: []kftraining.PyTorchJob{ | ||
*pyTorchJobBuilder.Clone().Obj(), | ||
}, | ||
operation: func(ctx context.Context, adapter *multikueueAdapter, managerClient, workerClient client.Client) error { | ||
return adapter.SyncJob(ctx, managerClient, workerClient, types.NamespacedName{Name: "pytorchjob1", Namespace: TestNamespace}, "wl1", "origin1") | ||
}, | ||
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wantManagersPyTorchJobs: []kftraining.PyTorchJob{ | ||
*pyTorchJobBuilder.Clone().Obj(), | ||
}, | ||
wantWorkerPyTorchJobs: []kftraining.PyTorchJob{ | ||
*pyTorchJobBuilder.Clone(). | ||
Label(constants.PrebuiltWorkloadLabel, "wl1"). | ||
Label(kueuealpha.MultiKueueOriginLabel, "origin1"). | ||
Obj(), | ||
}, | ||
}, | ||
"sync status from remote pytorchjob": { | ||
managersPyTorchJobs: []kftraining.PyTorchJob{ | ||
*pyTorchJobBuilder.Clone().Obj(), | ||
}, | ||
workerPyTorchJobs: []kftraining.PyTorchJob{ | ||
*pyTorchJobBuilder.Clone(). | ||
Label(constants.PrebuiltWorkloadLabel, "wl1"). | ||
Label(kueuealpha.MultiKueueOriginLabel, "origin1"). | ||
StatusConditions(kftraining.JobCondition{Type: kftraining.JobSucceeded, Status: corev1.ConditionTrue}). | ||
Obj(), | ||
}, | ||
operation: func(ctx context.Context, adapter *multikueueAdapter, managerClient, workerClient client.Client) error { | ||
return adapter.SyncJob(ctx, managerClient, workerClient, types.NamespacedName{Name: "pytorchjob1", Namespace: TestNamespace}, "wl1", "origin1") | ||
}, | ||
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wantManagersPyTorchJobs: []kftraining.PyTorchJob{ | ||
*pyTorchJobBuilder.Clone(). | ||
StatusConditions(kftraining.JobCondition{Type: kftraining.JobSucceeded, Status: corev1.ConditionTrue}). | ||
Obj(), | ||
}, | ||
wantWorkerPyTorchJobs: []kftraining.PyTorchJob{ | ||
*pyTorchJobBuilder.Clone(). | ||
Label(constants.PrebuiltWorkloadLabel, "wl1"). | ||
Label(kueuealpha.MultiKueueOriginLabel, "origin1"). | ||
StatusConditions(kftraining.JobCondition{Type: kftraining.JobSucceeded, Status: corev1.ConditionTrue}). | ||
Obj(), | ||
}, | ||
}, | ||
"remote pytorchjob is deleted": { | ||
workerPyTorchJobs: []kftraining.PyTorchJob{ | ||
*pyTorchJobBuilder.Clone(). | ||
Label(constants.PrebuiltWorkloadLabel, "wl1"). | ||
Label(kueuealpha.MultiKueueOriginLabel, "origin1"). | ||
Obj(), | ||
}, | ||
operation: func(ctx context.Context, adapter *multikueueAdapter, managerClient, workerClient client.Client) error { | ||
return adapter.DeleteRemoteObject(ctx, workerClient, types.NamespacedName{Name: "pytorchjob1", Namespace: TestNamespace}) | ||
}, | ||
}, | ||
} | ||
for name, tc := range cases { | ||
t.Run(name, func(t *testing.T) { | ||
managerBuilder := utiltesting.NewClientBuilder(kftraining.AddToScheme).WithInterceptorFuncs(interceptor.Funcs{SubResourcePatch: utiltesting.TreatSSAAsStrategicMerge}) | ||
managerBuilder = managerBuilder.WithLists(&kftraining.PyTorchJobList{Items: tc.managersPyTorchJobs}) | ||
managerBuilder = managerBuilder.WithStatusSubresource(slices.Map(tc.managersPyTorchJobs, func(w *kftraining.PyTorchJob) client.Object { return w })...) | ||
managerClient := managerBuilder.Build() | ||
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workerBuilder := utiltesting.NewClientBuilder(kftraining.AddToScheme).WithInterceptorFuncs(interceptor.Funcs{SubResourcePatch: utiltesting.TreatSSAAsStrategicMerge}) | ||
workerBuilder = workerBuilder.WithLists(&kftraining.PyTorchJobList{Items: tc.workerPyTorchJobs}) | ||
workerClient := workerBuilder.Build() | ||
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ctx, _ := utiltesting.ContextWithLog(t) | ||
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adapter := &multikueueAdapter{} | ||
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gotErr := tc.operation(ctx, adapter, managerClient, workerClient) | ||
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if diff := cmp.Diff(tc.wantError, gotErr, cmpopts.EquateErrors()); diff != "" { | ||
t.Errorf("unexpected error (-want/+got):\n%s", diff) | ||
} | ||
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gotManagersPyTorchJob := &kftraining.PyTorchJobList{} | ||
if err := managerClient.List(ctx, gotManagersPyTorchJob); err != nil { | ||
t.Errorf("unexpected list manager's pytorchjobs error %s", err) | ||
} else { | ||
if diff := cmp.Diff(tc.wantManagersPyTorchJobs, gotManagersPyTorchJob.Items, objCheckOpts...); diff != "" { | ||
t.Errorf("unexpected manager's pytorchjobs (-want/+got):\n%s", diff) | ||
} | ||
} | ||
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gotWorkerPyTorchJobs := &kftraining.PyTorchJobList{} | ||
if err := workerClient.List(ctx, gotWorkerPyTorchJobs); err != nil { | ||
t.Errorf("unexpected list worker's pytorchjobs error %s", err) | ||
} else { | ||
if diff := cmp.Diff(tc.wantWorkerPyTorchJobs, gotWorkerPyTorchJobs.Items, objCheckOpts...); diff != "" { | ||
t.Errorf("unexpected worker's pytorchjobs (-want/+got):\n%s", diff) | ||
} | ||
} | ||
}) | ||
} | ||
} |
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