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training

training

Train ALAE and StyleALAE with configs, TFRecords, DDP, and checkpoints.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentación de la Skill

GitHub

name: training description: "Train ALAE and StyleALAE with configs, TFRecords, DDP, and checkpoints." disable-model-invocation: true metadata: disco-role: operating license: NO_LICENSE

Training

Use this sub-skill when the request is about training or resuming ALAE/StyleALAE with train_alae.py, YACS configs, the multi-GPU launcher, TFRecords loading, LOD scheduling, checkpoint handling, or safe command construction.

Do not use this sub-skill for raw data conversion, generation/style mixing, or metrics. The README's ablation route (train_alae_separate.py, model_separate.py, and the celeba_ablation_*.yaml files) is not present in this checkout; treat it as unavailable rather than routing there.

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Typical outcomes

  • Build a valid python train_alae.py -c <config> [YACS opts...] command.
  • Check dataset, checkpoint, and output paths before starting a run.
  • Diagnose GPU, DDP, TFRecords, config-key, or checkpoint mismatch issues.
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