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: 283 Bytes
7ec6a18 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | [general]
name = "class_numbers"
universal = false
[torch]
src = ["torch-ext/torch_binding.cpp", "torch-ext/torch_binding.h"]
[kernel.class_numbers]
backend = "cuda"
cuda-capabilities = ["8.0", "9.0", "10.0", "12.0"]
src = ["class_numbers/class_numbers_v2.cu"]
depends = ["torch"]
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