mirror of
https://github.com/facebookresearch/pytorch3d.git
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Summary: Applies new import merging and sorting from µsort v1.0. When merging imports, µsort will make a best-effort to move associated comments to match merged elements, but there are known limitations due to the diynamic nature of Python and developer tooling. These changes should not produce any dangerous runtime changes, but may require touch-ups to satisfy linters and other tooling. Note that µsort uses case-insensitive, lexicographical sorting, which results in a different ordering compared to isort. This provides a more consistent sorting order, matching the case-insensitive order used when sorting import statements by module name, and ensures that "frog", "FROG", and "Frog" always sort next to each other. For details on µsort's sorting and merging semantics, see the user guide: https://usort.readthedocs.io/en/stable/guide.html#sorting Reviewed By: bottler Differential Revision: D35553814 fbshipit-source-id: be49bdb6a4c25264ff8d4db3a601f18736d17be1
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'
.