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| ## 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 pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html | |
| ``` | |