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pytorch3d/packaging/linux_wheels
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Jeremy Reizenstein c85673c626 PyTorch 1.11.0 
Summary: Add builds for PyTorch 1.11.0.

Reviewed By: nikhilaravi

Differential Revision: D34861021

fbshipit-source-id: 1a1c46fac48719bc66c81872e65531a48ff538ed
2022-03-16 05:44:40 -07:00
..
after.sh
Update license for company name
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go.sh
PyTorch 1.11.0
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inside.sh
PyTorch 1.11.0
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publish.py
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README.md
safer pip install in doc
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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
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
version_str="".join([
    f"py3{sys.version_info.minor}_cu",
    torch.version.cuda.replace(".",""),
    f"_pyt{pyt_version_str}"
])
!pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html