evaluating-cosmos-policy

# Cosmos Policy Evaluation Evaluation workflows for NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments from the public `cosmos-policy` repository. Covers blank-machine setup, headless GPU evaluation, and inference profiling. ## Quick start Run a minimal LIBERO evaluation using the official public eval module: ```bash uv run --extra cu128 --group libero --python 3.10 \ python -m cosmos_policy.experiments.robot.libero.run_libero_eval \ --config cosmos_predict2_2b_480p_libero__inference_only \ --ckpt_path nvidia/Cosmos-Policy-LIBERO-Predict2-2B \ --config_file cosmos_policy/config/config.py \ --use_wrist_image True \ --use_proprio True \ --normalize_proprio True \ --unnormalize_actions True \ --dataset_stats_path nvidia/Cosmos-Policy-LIBERO-Predict2-2B/libero_dataset_statistics.json \ --t5_text_embeddings_path nvidia/Cosmos-Policy-LIBERO-Predict2-2B/libero_t5_embeddings.pkl \ --trained_with_image_aug True \ --chunk_size 16 \ --num_open_loop_steps 16 \ --task_suite_name libero_10 \ --num_trials_per_task 1 \ --local_log_dir cosmos_policy/experiments/robot/libero/logs/ \ --seed 195 \ --randomize_seed False \ --deterministic True \ --run_id_note smoke \ --ar_future_prediction False \ --ar_value_prediction False \ --use_jpeg_compression True \ --flip_images True \ --num_denoising_steps_action 5 \ --num_denoising_steps_future_state 1 \ --num_denoising_steps_va...