mirror of
https://github.com/facebookresearch/pytorch3d.git
synced 2025-08-02 20:02:49 +08:00
1c45ec9770
Summary: The renderer gets used for visualization only in places. Here we avoid creating an autograd graph during that, which is not needed and can fail because some of the graph which existed earlier might be needed and has not been retained after the optimizer step. See https://github.com/facebookresearch/pytorch3d/issues/624 Reviewed By: gkioxari Differential Revision: D27593018 fbshipit-source-id: 62ae7a5a790111273aa4c566f172abd36c844bfb
Tutorial notebooks
For current versions of the tutorials, which correspond to the latest release,
please look at this directory at the stable tag, namely at
https://github.com/facebookresearch/pytorch3d/tree/stable/docs/tutorials .
There are links at the project homepage for opening these directly in colab.
They install PyTorch3D from pip, which should work inside a GPU colab notebook. If you need to install PyTorch3D from source inside colab, you can use
import os
!curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
!tar xzf 1.10.0.tar.gz
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
!pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'`
instead.
The versions of these tutorials on the main branch may need to use the latest
PyTorch3D from the main branch. You may be able to install this from source
with the same commands as above, but replacing the last line with
!pip install 'git+https://github.com/facebookresearch/pytorch3d.git'.