[mxfp8 moe training] mxfp8 a2a_dispatch autograd function#3579
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danielvegamyhre merged 1 commit intomainfrom Jan 9, 2026
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[mxfp8 moe training] mxfp8 a2a_dispatch autograd function#3579danielvegamyhre merged 1 commit intomainfrom
danielvegamyhre merged 1 commit intomainfrom
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/3579
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 9172461 with merge base 8d47813 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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| class _A2ADispatch(torch.autograd.Function): | ||
| """ | ||
| All-to-all dispatch with MXFP8 quantization in forward. |
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object name should reflect this
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| return grad_input, None, None, None, None, None | ||
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| def a2a_dispatch( |
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function name should explain the quantization part
stack-info: PR: #3579, branch: danielvegamyhre/stack/103
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didn't read closely, stamp for prototype
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Stacked PRs:
[mxfp8 moe training] mxfp8 a2a_dispatch autograd function
Tests
PYTHONPATH=/home/$USER/ao:$PYTHONPATH pytest test/prototype/moe_training/ep/test_a2a_dispatch.py