GitLab

- Updated GR00T N1.7 public docs, README release notes, FAQ wording, setup guides, terminology, and references to the public GitHub repo.
- Migrated deployment and simulation/evaluation environments to Python 3.12, Torch 2.9, and TorchCodec 0.8, with related dependency and setup fixes.
- Hardened TensorRT deployment flows with export metadata validation, unified engine/output directories, clearer missing-engine errors, export-mode binding, inference-mode cleanup, and runtime-shape guards.
- Improved evaluation and simulation behavior across action/execution horizons, embodiment tags, SimplerEnv success detection, rollout cleanup, ffmpeg cleanup, LIBERO setup, and RoboCasa eval settings and results.
- Refactored shared data and utility paths, including DROID frame correction, `parse_observation_gr00t`, and `dist_utils`.
- Improved model, policy, video, and experiment robustness with clearer gated-backbone errors, Qwen3-VL RoPE safeguards, ZMQ shutdown handling, WORLD_SIZE/GPU reconciliation, and distributed failure propagation.
- Fixed notebooks and examples so GR00T inference and deployment workflows run end-to-end with current tags, TRT commands, and memory guidance.
- Added N1.7 functionality and release content, including `letter_box_transform` support, GA messaging, RoboLab release updates, and combined rollout video handling.
Co-authored-by: Jiajing Chen <jiajingc@nvidia.com>
Co-authored-by: Ryan Halabi <ryhalabi@nvidia.com>
Co-authored-by: Xiaotong Chen <xiaotongc@nvidia.com>

id: cfdbf736958b9844a7fbb2a30802d042d0a7f253