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Are you writing a C++ custom op extension to PyTorch? It's 2026 and are you still shipping M x N wheels for M CPython versions and N libtorch versions? Did you know you can just ship 1 wheel that works across multiple CPythons and libtorches? If you're curious how, attend this talk to get the deets on py_limited_api, APIs like torch::stable::Tensor & TORCH_TARGET_VERSION, and generally the latest and greatest ways for keeping your code and your release matrix simple. Get your custom kernel enrolling in new features with benefits proven out in FA3, xformers, torchao, torchaudio, and more in progress! We'll also share some of our vision towards smoother and faster custom ops extensions.
Hi, I'm Jane! Please don't hesitate to come talk to me about your favorite optimizer, fitting models in GPU memory, how to free C++ extensions from libtorch version, and anything that interests you.
