Prebuilt wheels provided via 3rd party repository

[MiroPsota]

Prebuilt wheels for PyTorch packages with custom ops

I've created a repository that can build PyTorch wheels with custom ops through the GitHub Actions pipeline and publish them using GitHub Releases. Check it out at https://github.com/MiroPsota/torch_packages_builder.

Since there are various ways how to use it, please refer to the repository README for more information.

If you prefer own build or can't trust a 3rd party repository, feel free to fork it and build any package/version/commit ID you desire yourself.

• No Support for Pip Cache: pip relies on http cache, and GitHub generates on-the-fly redirections for release links, so they are probably not playing nicely together. I recommend hosting it yourself.

PyTorch3D specific quick info:

Install using pip:

pip install --extra-index-url https://miropsota.github.io/torch_packages_builder pytorch3d==<version>+<OPTIONAL_commit_hash>pt<PyTorch_version><compute_platform>

Where <compute_platform> is, as in PyTorch, one of cpu, cu<CUDA_short_version> (e.g. cu121, cu118, cu102), or rocm<ROCM_version> (not supported right now).

For example, the newest official release pytorch3d tag (as of writing) v0.7.7, PyTorch 2.3.1 with CUDA 12.1:

pip install --extra-index-url https://miropsota.github.io/torch_packages_builder pytorch3d==0.7.7+pt2.3.1cu121

I haven't built other combinations as of writing, I will probably build occasionally with new pytorch releases and versions/commits.

These wheels are built with PyTorch versions 1.11.0 to 2.3.0 and their respective compute platforms and supported operating systems. Please note an exception for cu102 on Windows (due to no VS 2017 on the GitHub windows-2019 runner) and the ROCm platform. The build is done using the ubuntu-20.04 runner, so older Linux distributions might not work due to old libc.

Although the wheels have been successfully built, I do not guarantee they work correctly for all combinations (let me know if not).

If you've installed PyTorch with pip, there's no need to have CUDA installed on your system, as the PyTorch wheels for pip bundle CUDA.

[yueool]

谢谢你，自己编译好几次都失败了，还是用现成的吧，我好笨，仰望大佬

[randprint]

can you check the build logs for windows 2.2.2 cu118? I tried to install from your repo to fix the dll import problem i'm having with torch3d but it seems the dll that should be in Lib\site-packages\pytorch3d is missing, if i understand the response to this issue that I'm also having #1664

[MiroPsota]

If I understand it correctly, Just do as the last post says.

[randprint]

tried that out of frustration, -e expects some file to be found on the url, but it isnt part of any pytorch3d install instructions I've seen anywhere anyway.

[Jacky-MYQ]

Wo! amazing!! I try it successfully! And my env is py3.11, cuda12.1, ubuntu22.04. I sincerely appreciate it that does me a favor!!