trainer
https://github.com/kubeflow/trainer
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Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
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- Issues
- chore(deps): bump huggingface-hub from 2.3.0 to 2.4.0 in /cmd/initializers/dataset
- fix: nightly security dependency updates
- resourcesPerNode with only limits keeps the runtime's higher requests, so the trainer Pods are rejected
- fix(framework): set runtime requests that don't fit limits-only resourcesPerNode to the limits
- fix(framework): ignore Flux and XGBoost MLPolicy in PlainML EnforceMLPolicy
- fix(controller): validate runtimes before creating snapshot
- chore(deps): bump oauthlib from 4.0.0 to 4.0.1 in /cmd/initializers/dataset
- fix: nightly security Python dependency updates
- bug(runtime): Workload-Aware Scheduling gang minCount counts multi-slice Pods replicas times
- fix(api): reject OptimizationJob DRA fields while the DRA feature gate is disabled
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