feat: NVDEC GPU decode + parallel episode splitting + RoboMME training config#88
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Barristen wants to merge 3 commits into
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feat: NVDEC GPU decode + parallel episode splitting + RoboMME training config#88Barristen wants to merge 3 commits into
Barristen wants to merge 3 commits into
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…raining config - extract_latents.py: add NVDEC hardware video decoding with CPU fallback via PyAV hwaccel=cuda option; add --ep_start/--ep_end args for multi-GPU parallel episode range splitting across 8 GPUs - wan_va/configs/va_robomme_train_cfg.py: new training config for RoboMME dataset with 7-dim eef action space, normalization stats, and czi447 server paths - wan_va/configs/__init__.py: register robomme_train config in VA_CONFIGS dict Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Dataset: extract memory_latents (first K frames spatially mean-pooled) from episode latent - Model: add memory_proj linear, inject memory tokens into cross-attention alongside text - Train: pass memory_latents from batch through _prepare_input_dict into model Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1-GPU, 5-step config pointing to HPC3 paths for testing the memory mechanism. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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training config