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Signed-off-by: Dheeraj Peri <[email protected]>
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docsrc/tutorials/compile_groot.rst

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@@ -111,11 +111,7 @@ You can then use the following command to start the simulation:
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cd robocasa-gr1-tabletop-tasks
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python3 scripts/simulation_service.py --client --env_name gr1_unified/PnPCupToDrawerClose_GR1ArmsAndWaistFourierHands_Env --video_dir ./videos --max_episode_steps 720 --n_envs 1 --n_episodes 10 --use_torch_tensorrt
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This would start the simulation, display the success rate and record the videos in ``videos`` directory. Here is a sample video of the GR00T N1.5 model in the simulation:
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.. image:: https://github.com/pytorch/TensorRT/blob/groot_docs/docsrc/tutorials/output.gif
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:alt: GR00T N1.5 model in RoboCasa simulation
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:align: center
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:width: 80%
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This would start the simulation, display the success rate and record the videos in ``videos`` directory. Here is a sample video of the optimized GR00T N1.5 model in the simulation: https://github.com/pytorch/TensorRT/blob/groot_docs/docsrc/tutorials/output.gif
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.. note::
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If you are running Isaac GR00T in a Docker environment, you can create two separate tmux sessions and launch both Docker containers on the same network to enable inter-container communication. This allows the inference service and simulation service to communicate seamlessly across containers.

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