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Updates pip package version in docs (#4613)
# Description Updates pip package version in docs to the latest 2.3.2.post1 after a critical fix that was preventing installation from working correctly. ## Type of change <!-- As you go through the list, delete the ones that are not applicable. --> - Bug fix (non-breaking change which fixes an issue) ## Checklist - [x] I have read and understood the [contribution guidelines](https://isaac-sim.github.io/IsaacLab/main/source/refs/contributing.html) - [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with `./isaaclab.sh --format` - [x] I have made corresponding changes to the documentation - [x] My changes generate no new warnings - [ ] I have added tests that prove my fix is effective or that my feature works - [ ] I have updated the changelog and the corresponding version in the extension's `config/extension.toml` file - [ ] I have added my name to the `CONTRIBUTORS.md` or my name already exists there <!-- As you go through the checklist above, you can mark something as done by putting an x character in it For example, - [x] I have done this task - [ ] I have not done this task --> --------- Signed-off-by: Kelly Guo <[email protected]>
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docs/source/policy_deployment/02_gear_assembly/gear_assembly_policy.rst

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- `FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty <https://arxiv.org/abs/2408.04587>`_
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- Sim-to-Real Policy Transfer for Whole Body Controllers: :ref:`sim2real` - Shows how to train and deploy a whole body controller for legged robots using Isaac Lab with the Newton backend
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- `Isaac ROS Manipulation Documentation <https://nvidia-isaac-ros.github.io/reference_workflows/isaac_for_manipulation/index.html>`_
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- `Isaac ROS Gear Assembly Tutorial <https://nvidia-isaac-ros.github.io/reference_workflows/isaac_for_manipulation/tutorials/tutorial_gear_assembly.html>`_
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- `Isaac ROS Gear Assembly Tutorial <https://nvidia-isaac-ros.github.io/reference_workflows/isaac_for_manipulation/tutorials/sim_to_real/tutorial_gear_assembly.html>`_
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- RL Training Tutorial: :ref:`tutorial-run-rl-training`

docs/source/setup/installation/isaaclab_pip_installation.rst

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.. code-block:: none
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pip install isaaclab[isaacsim,all]==2.3.2 --extra-index-url https://pypi.nvidia.com
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pip install isaaclab[isaacsim,all]==2.3.2.post1 --extra-index-url https://pypi.nvidia.com
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- Install a CUDA-enabled PyTorch 2.7.0 build for CUDA 12.8 that matches your system architecture:
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