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kubeflow-trainer-v2-tf-custom-runtime
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Author SHA1 Message Date
Cloud User 9e92f2e3d4 Revert "Revert "Remove NUM_WORKERS env var, auto-detect workers via DNS probing"" 
This reverts commit 5f6dec6799.
 2026-03-03 13:25:01 +09:00
Cloud User 5f6dec6799 Revert "Remove NUM_WORKERS env var, auto-detect workers via DNS probing" 
This reverts commit 0428780d9b.
 2026-03-03 13:15:20 +09:00
Cloud User 0428780d9b Remove NUM_WORKERS env var, auto-detect workers via DNS probing 
numNodes 변경 시 NUM_WORKERS를 수동 동기화해야 하는 문제 해결.
discover_workers()가 DNS 프로빙으로 워커 수를 자동 감지하므로
TrainJob에서 numNodes만 변경하면 됨.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-03-03 11:34:07 +09:00
Cloud User 63fbcf8085 Add TensorFlow custom runtime for Kubeflow Trainer v2 with Volcano integration 
Trainer v2에는 TensorFlow runtime이 기본 제공되지 않으므로
Custom ClusterTrainingRuntime을 생성하여 MultiWorkerMirroredStrategy 기반
분산학습을 지원한다. Pod hostname + Headless Service DNS로 TF_CONFIG를 자동 구성.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-03-03 10:24:13 +09:00