KEP-2170: Kubeflow Trainer V2 API

[andreyvelich]

This is the tracking issue for the Kubeflow Training V2 APIs.

GitHub project: KEP-2170: Kubeflow Trainer V2 API

• Create the KEP: KEP-2170: Kubeflow Training V2 API #2171
• KEP-2170: Add TrainJob and TrainingRuntime APIs #2223
• KEP-2170: Create controller for TrainJob #2207
• KEP-2170: Create Kustomize manifests to deploy JobSet and TrainJob controllers #2208
• KEP-2170: Implement validations for TrainJob #2209
• KEP-2170: Implement validations for TrainingRuntime and ClusterTrainingRuntime #2219
• KEP-2170: Create PyTorch multi-node distributed training runtime #2211
• KEP-2170: Create dataset and model initializers #2210
• KEP-2401: Kubeflow LLM Trainer V2 #2401
• KEP-2170: Add PyTorch DDP MNIST training example #2387
• KEP-2170: Add E2E tests for Kubeflow Training V2 #2213
• KEP-2170: Update documentation for V2 APIs #2214
• KEP-2170: Design Kubeflow Python SDK for Training V2 #2216
• KEP-2170: Generate OpenAPI spec for V2 APIs #2215
• KEP-2170: Implement Job Pipeline Framework plugins #2290
• KEP-2170: Replace UPSERT operation for the objects with SSA PATCH #2297

JobSet improvements:

• Support for the execution policy API in JobSet kubernetes-sigs/jobset#672

JobSet improvements after the first Kubeflow Trainer 2.0.0 release:

• Support Stateful JobSet kubernetes-sigs/jobset#572
• PyTorch elastic support: Support Autoscaling replicatedJob kubernetes-sigs/jobset#570

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