Build wheels for s3

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

packaging/linux_wheels/README.md

@@ -0,0 +1,29 @@
+## 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
+```