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https://github.com/facebookresearch/pytorch3d.git
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e0753f0b0d
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
30 lines
879 B
Markdown
30 lines
879 B
Markdown
## Building Linux pip Packages
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1. Make sure this directory is on a filesystem which docker can
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use - e.g. not NFS. If you are using a local hard drive there is
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nothing to do here.
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2. You may want to `docker pull pytorch/conda-cuda:latest`.
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3. Run `bash go.sh` in this directory. This takes ages
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and writes packages to `inside/output`.
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4. You can upload the packages to s3, along with basic html files
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which enable them to be used, with `bash after.sh`.
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In particular, if you are in a jupyter/colab notebook you can
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then install using these wheels with the following series of
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commands.
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```
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import sys
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import torch
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version_str="".join([
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f"py3{sys.version_info.minor}_cu",
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torch.version.cuda.replace(".",""),
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f"_pyt{torch.__version__[0:5:2]}"
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])
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!pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html
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```
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