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Summary: For Linux, instead of uploading wheels to PyPI which will only work with one particular version of PyTorch and CUDA, from the next release we will store a range of built wheels on S3. Reviewed By: nikhilaravi Differential Revision: D26209398 fbshipit-source-id: 945a6907b78807e1eedb25007f87f90bbf59f80e
Building Linux pip Packages
-
Make sure this directory is on a filesystem which docker can use - e.g. not NFS. If you are using a local hard drive there is nothing to do here.
-
You may want to
docker pull pytorch/conda-cuda:latest
. -
Run
bash go.sh
in this directory. This takes ages and writes packages toinside/output
. -
You can upload the packages to s3, along with basic html files which enable them to be used, with
bash after.sh
.
In particular, if you are in a jupyter/colab notebook you can then install using these wheels with the following series of commands.
import sys
import torch
version_str="".join([
f"py3{sys.version_info.minor}_cu",
torch.version.cuda.replace(".",""),
f"_pyt{torch.__version__[0:5:2]}"
])
!pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html