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Feature/support pytorchjob set queue of volcano #1415
Feature/support pytorchjob set queue of volcano #1415
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Signed-off-by: bert.li <qiankun.li@qq.com>
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Hi @qiankunli. Thanks for your PR. I'm waiting for a kubeflow member to verify that this patch is reasonable to test. If it is, they should reply with Once the patch is verified, the new status will be reflected by the I understand the commands that are listed here. Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
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@@ -155,13 +156,18 @@ func (r *PyTorchJobReconciler) Reconcile(ctx context.Context, req ctrl.Request) | |||
// Set default priorities to pytorch job | |||
r.Scheme.Default(pytorchjob) | |||
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// parse volcano Queue from pytorchjob Annotation |
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what about other jobs?
@@ -155,13 +156,18 @@ func (r *PyTorchJobReconciler) Reconcile(ctx context.Context, req ctrl.Request) | |||
// Set default priorities to pytorch job | |||
r.Scheme.Default(pytorchjob) | |||
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// parse volcano Queue from pytorchjob Annotation | |||
schedulingPolicy := &commonv1.SchedulingPolicy{ |
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Since Pytorch spec embed runPolicy
, can we get scheduling policy directly from pytortchjob.Spec.RunPolicy.SchedulingPolicy
?
@qiankunli
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We should use pytorchjob.Spec.RunPolicy
as the argument to reconcile the jobs
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now it is always nil for SchedulingPolicy in pytorch-operator, if SchedulingPolicy is seted , it is ok use pytortchjob.Spec.RunPolicy.SchedulingPolicy
directly
// github.com/kubeflow/tf-operator/pkg/controller.v1/pytorch/pytorchjob_controller.go
runPolicy := &commonv1.RunPolicy{
CleanPodPolicy: pytorchjob.Spec.RunPolicy.CleanPodPolicy,
TTLSecondsAfterFinished: pytorchjob.Spec.RunPolicy.TTLSecondsAfterFinished,
ActiveDeadlineSeconds: pytorchjob.Spec.RunPolicy.ActiveDeadlineSeconds,
BackoffLimit: pytorchjob.Spec.RunPolicy.BackoffLimit,
SchedulingPolicy: nil,
}
// Use common to reconcile the job related pod and service
err = r.ReconcileJobs(pytorchjob, pytorchjob.Spec.PyTorchReplicaSpecs, pytorchjob.Status, runPolicy)
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@Jeffwan I update the pr
runPolicy := &commonv1.RunPolicy{
CleanPodPolicy: pytorchjob.Spec.RunPolicy.CleanPodPolicy,
TTLSecondsAfterFinished: pytorchjob.Spec.RunPolicy.TTLSecondsAfterFinished,
ActiveDeadlineSeconds: pytorchjob.Spec.RunPolicy.ActiveDeadlineSeconds,
BackoffLimit: pytorchjob.Spec.RunPolicy.BackoffLimit,
SchedulingPolicy: pytorchjob.Spec.RunPolicy.SchedulingPolicy,
}
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- Can you help update this for MXNet job as well?
- Actually, since pytorch.Spec.RunPolicy is &commonv1.RunPolicy. We can pass
pytorchjob.Spec.RunPolicy
instead of constructing a new one. See xgboost example
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Can you help update this for MXNet job as well?
Should we make it in another PR?
Signed-off-by: bert.li <qiankun.li@qq.com>
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LGTM
Should we add some unit test cases?
@Jeffwan I update the pr
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/ok-to-test
/lgtm |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: Jeffwan The full list of commands accepted by this bot can be found here. The pull request process is described here
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Approvers can indicate their approval by writing |
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/retest |
/test kubeflow-tf-operator-presubmit |
* support pytorch use volcano-queue * support pytorch use volcano-queue Signed-off-by: bert.li <qiankun.li@qq.com> * set SchedulingPolicy for runPolicy Signed-off-by: bert.li <qiankun.li@qq.com> * use pytorchjob.Spec.RunPolicy directly
* support pytorch use volcano-queue * support pytorch use volcano-queue Signed-off-by: bert.li <qiankun.li@qq.com> * set SchedulingPolicy for runPolicy Signed-off-by: bert.li <qiankun.li@qq.com> * use pytorchjob.Spec.RunPolicy directly
* Feature/support pytorchjob set queue of volcano (#1415) * support pytorch use volcano-queue * support pytorch use volcano-queue Signed-off-by: bert.li <qiankun.li@qq.com> * set SchedulingPolicy for runPolicy Signed-off-by: bert.li <qiankun.li@qq.com> * use pytorchjob.Spec.RunPolicy directly * fix hyperlinks in the 'overview' section (#1418) hyperlinks now point to the latest api reference files. issue - #1411
I want set queue of podgroup created by pytorchjob, but there is not SchedulingPolicy in pytorchjob struct, so I try to set queue name in annotation
scheduling.volcano.sh/queue-name
of pytorchjob.it is related with issue #1414