Instructions to use kernels-community/triton_kernels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use kernels-community/triton_kernels 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("kernels-community/triton_kernels", version=1) - Notebooks
- Google Colab
- Kaggle
Commit History
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Implement make_opt_flags function for XPU (#5)
Verified signature- Add support for XPU to run gpt-oss (c1e53ae4840d4e5f0735f14f09c3d4aab4d5437f) - Update test_matmul.py to support UT of XPU (a32f88a27681ab50f894baafb3d53d04628c0de0) - add xpu (60382dec1db275be5902f4ce65fa64fdf22c3e9a) Co-authored-by: Kai Yang <YangKai0616@users.noreply.huggingface.co>9c3f05a
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Update torch-ext/triton_kernels/matmul_ogs_details/opt_flags.py (#3)
Verified signature- Update torch-ext/triton_kernels/matmul_ogs_details/opt_flags.py (87f694d54e44f47a7aab2c88d004610114322262)a46d3ad
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