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
File size: 334 Bytes
7ec6a18 a51a509 7ec6a18 | 1 2 3 4 5 6 7 8 9 10 | #include <torch/extension.h>
#include "torch_binding.h"
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"));
}
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