Comments (7)
I see. May be I performed the master version before performing version v1.7.
My curiosity is resolved :)
Thanks!!
from training-operator.
Same problem.
Edit) I deleted my minikube cluster and restarted. Then seems like working again.
from training-operator.
Thanks for sharing :)
It may not be a big issue with missing the webhook server port in previous versions.
Because they did not require webook validation, I guess (maybe I`m wrong).
I`m now just using a master version that does not cause any problems.
from training-operator.
@yeonhooy @show981111 Hi, thank you for creating this issue.
How to install training-operator? I guess that you performed kubectl apply -k "github.com/kubeflow/training-operator/manifests/overlays/standalone"
, right?
from training-operator.
@tenzen-y Right. I tried to use this command kubectl apply -k "github.com/kubeflow/training-operator/manifests/overlays/standalone?ref=v1.7.0"
for stable version.
But I failed due to the missing of webhook server port.
I'm now using master version without ValidatingWebhookConfiguration.
from training-operator.
@tenzen-y Right. I tried to use this command
kubectl apply -k "github.com/kubeflow/training-operator/manifests/overlays/standalone?ref=v1.7.0"
for stable version. But I failed due to the missing of webhook server port.I'm now using master version without ValidatingWebhookConfiguration.
It's curious. In v1.7.0, the training-operator doesn't have any webhook validations. So, the above error should not happen.
But, we introduced webhook validations since v1.8.0-rc0 (as well as the master
branch). So, I suspect that you accidentally performed the kubectl apply -k "github.com/kubeflow/training-operator/manifests/overlays/standalone
(the master branch) before.
from training-operator.
But, we introduced webhook validations since v1.8.0-rc0 (as well as the master branch).
In other words, we never provided the manifests for the validator.tfjob.training-operator.kubeflow.org
until v1.8.0.
from training-operator.
Related Issues (20)
- chore(style): provide type for `STORAGE_INITIALIZER_VOLUME` constant
- fix(compatability): match-case syntax only compatible with Python3.10 HOT 5
- Export Fine-Tuned LLM after Trainer is Complete HOT 3
- Vulnerability - CVE-2023-44487 HOT 3
- Support ARM64 platform in PyTorch examples HOT 4
- Support ARM64 platform in TensorFlow examples HOT 4
- Support ARM64 platform in XGBoost examples HOT 2
- Update third party worflows in the gh actions HOT 4
- mpijob will stuck if LastReconcileTime is updated in 1 second
- Worker failed without exit code
- PyTorchJobClient not found HOT 3
- The actual default RestartPolicy of PyTorch is inconsistent with its description in the CRD HOT 1
- spatial dataset training functions HOT 1
- TfJob creation failed due to webhook validation failure HOT 1
- [GSOC] Tracking Issue: Integrate JAX in Kubeflow Training Operator
- Improve Training Operator release process HOT 2
- [GSOC] Project 7 Tracking Issue: Automate docs generation for Training-operator Python SDK HOT 1
- Docs: reference architecture for fault tolerance capabilities HOT 9
- [SDK] Add more unit tests for TrainingClient APIs HOT 13
- TypeError: TrainingArguments.__init__() got an unexpected keyword argument 'eval_strategy' HOT 3
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