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Jeremy Reizenstein 9de627e01b PyTorch 1.8 builds 
Summary: Nightly builds to support PyTorch 1.8.0 and PyTorch 1.8.1.

Reviewed By: patricklabatut

Differential Revision: D29098081

fbshipit-source-id: fc6b36e919892ea41979a03e64a6fc8003528b78
2021-06-14 10:29:33 -07:00
..
after.sh
Build wheels for s3
2021-02-05 05:52:36 -08:00
go.sh
Build wheels for s3
2021-02-05 05:52:36 -08:00
inside.sh
PyTorch 1.8 builds
2021-06-14 10:29:33 -07:00
publish.py
Build wheels for s3
2021-02-05 05:52:36 -08:00
README.md
Build wheels for s3
2021-02-05 05:52:36 -08:00

README.md

Building Linux pip Packages

  1. 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.

  2. You may want to docker pull pytorch/conda-cuda:latest.

  3. Run bash go.sh in this directory. This takes ages and writes packages to inside/output.

  4. 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