Add AQT tensor parallel for float8_dynamic_quant #1078
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1078
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 3dfc799 with merge base e7b33bc ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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| return return_and_correct_aliasing( | ||
| func, args, kwargs, args[0]._apply_fn_to_data(lambda x: aten.slice.Tensor(x, dim, start, end, step)) | ||
| ) | ||
| else: |
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what is this case btw, is this ndim==0 or some other case?
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Yes, it's ndim==0. I've updated the condition to check for ndim=0, instead of generic condition.
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Added support for tensor parallel for float8_dynamic_activation_float8_weight
Added op implementations: