move float8 blockwise kernels out of prototype #3256
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3256
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This was referenced Oct 29, 2025
danielvegamyhre
approved these changes
Oct 29, 2025
| triton = pytest.importorskip("triton", reason="Triton required to run this test") | ||
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| from torchao.prototype.blockwise_fp8_inference.blockwise_quantization import ( | ||
| from torchao.kernel.blockwise_quantization import ( |
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note for later: let's rename this torchao.kernels* (plural)
namgyu-youn
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Nov 21, 2025
* Update [ghstack-poisoned] * Update [ghstack-poisoned] * Update [ghstack-poisoned]
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Summary:
These will be useful as a fallback path for a_1_128_w_128_128 (DeepSeek)
scaling support for float8 inference. Bringing out of prototype folder.
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