Comments (5)
Thank you for reporting this!
That makes sense. We should replace the match
with if-else
, and then we should cherry-pick it to the latest release-branch.
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cc: @andreyvelich @johnugeorge
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It seems that PR already has been created: #2099
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Hi @tenzen-y , I think the contributor of PR #2099 has been inactive for 2 weeks. Will it be fine If I take this up and create a new PR?
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@PantherHawk Thank you for creating this!
Currently, Storage Initializer image is using Python 3.11 version: https://github.com/kubeflow/training-operator/blob/master/sdk/python/kubeflow/storage_initializer/Dockerfile#L2
Do you have any specific use-case when you need to use Python 3.9 ?
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Related Issues (20)
- Flaky Test: [It] should create desired Pods and Services: Distributed TFJob (4 workers, 2 PS) is succeeded
- MPIJob requires service names for the pods. HOT 3
- Add DeepSpeed Example with MPI Operator HOT 9
- chore(style): provide type for `STORAGE_INITIALIZER_VOLUME` constant
- Export Fine-Tuned LLM after Trainer is Complete HOT 6
- 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 4
- [GSOC] Project 7 Tracking Issue: Automate docs generation for Training-operator Python SDK HOT 1
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