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nvflare-convert-lightning

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Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use only when the request names federated/NVFLARE conversion or asks multiple sites to train collaboratively while keeping each site's data local, and either names PyTorch Lightning or preliminary source inspection identifies one Lightning owner; do not use for non-federated Lightning work such as DDP, profiling, inference serving, or training-loop changes, nor for plain PyTorch, TensorFlow/Keras, other frameworks, deployment, POC/production lifecycle, or experiment workflows.

When to use

• Convert PyTorch Lightning code to NVFLARE federated job
• Multiple sites training collaboratively with local data
• PyTorch recipe family with flare.patch(trainer)
• Lightning-native evaluation
• Custom aggregation through recipe aggregator hook
• Local validation and export

When not to use

• Do not use for non-federated Lightning changes such as DDP-only configuration, profiling, inference serving, callbacks, early stopping, or schedulers; or for plain `torch.nn.Module` manual training loops without Lightning (route to `nvflar…

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