Instructions to use cahlen/class-numbers-cuda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use cahlen/class-numbers-cuda with Kernels:
# !pip install kernels from kernels import get_kernel # a version (or an explicit revision) is required; see the "Files and versions" tab for the available ones kernel = get_kernel("cahlen/class-numbers-cuda", version=1) - Notebooks
- Google Colab
- Kaggle
Download torch-ext/torch_binding.cpp from cahlen/class-numbers-cuda: direct link, hf CLI and curl.
- Browser
- Download file 334 Bytes
-
https://huggingface.co/cahlen/class-numbers-cuda/resolve/main/torch-ext/torch_binding.cpp
- Command line
-
hf download hf://cahlen/class-numbers-cuda/torch-ext/torch_binding.cpp
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curl -L -o torch_binding.cpp https://huggingface.co/cahlen/class-numbers-cuda/resolve/main/torch-ext/torch_binding.cpp
334 Bytes
| PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { | |
| m.doc() = "Class Numbers of Real Quadratic Fields CUDA kernel"; | |
| m.def("compute_class_numbers", &compute_class_numbers_torch, | |
| "Compute class numbers h(d) for fundamental discriminants", | |
| py::arg("discriminants")); | |
| } | |