Add 2, 3, 4, 5 bit custom ops #828
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/828
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 0fd7957 with merge base e1039ab ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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| m = 1 | ||
| n = 4096 | ||
| k = 4096 | ||
| nbit = 4 | ||
| n_layers = 10 | ||
| nbit = 5 |
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wondering is this uint5 or int5?
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The 5bit kernel has quantized range [-16, 15].
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Summary: Pull Request resolved: pytorch#828 Refactors some of the custom op example code to add support for more kernel variants. Reviewed By: digantdesai Differential Revision: D62248716
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Summary: Pull Request resolved: pytorch#828 Refactors some of the custom op example code to add support for more kernel variants. Reviewed By: digantdesai Differential Revision: D62248716
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Summary: Pull Request resolved: pytorch#828 Refactors some of the custom op example code to add support for more kernel variants. Reviewed By: digantdesai Differential Revision: D62248716
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Differential Revision: D62248716 Pull Request resolved: #828
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Summary: Refactors some of the custom op example code to add support for more kernel variants.
Reviewed By: digantdesai
Differential Revision: D62248716