feat(openpi): add aligned LIBERO training support - #1500
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Integrate OpenPI pi0.5-LIBERO with local PyTorch inference, checkpoint conversion, runtime setup, and official single- and multi-GPU evaluation workflows.
Integrate pi0.5-LIBERO inference with local PyTorch execution, official-compatible evaluation, multi-GPU suite scheduling, and decoupled ROS2 policy/simulator nodes. Simplify the integration while preserving preprocessing, FP64 actions, and continuous policy RNG semantics.
Add official-aligned PyTorch fine-tuning with FP32 master weights, BF16 compute, EMA, strict checkpoint resume, and LIBERO preprocessing. Streamline OpenPI inference, ROS evaluation, and runtime validation while keeping generated artifacts out of Git.
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Add official-aligned OpenPI π0.5 LIBERO PyTorch fine-tuning with FP32 master weights, BF16 compute, EMA, strict checkpoint resume, and streamlined inference, ROS evaluation, and runtime setup.