add params check when convert BatchNorm to GroupNorm#390
add params check when convert BatchNorm to GroupNorm#390XiaobingSuper wants to merge 2 commits intometa-pytorch:mainfrom
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@JohnlNguyen has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
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@JohnlNguyen , the failed case try to convert BatchNorm2d(72, eps=0.001, momentum=0.01, affine=True, track_running_stats=True) to GroupNorm, but it is invalid，how do we ignore this conversion? |
opacus/validators/batch_norm.py
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| if module.num_features % min(32, module.num_features) != 0: | ||
| raise UnsupportableModuleError( | ||
| "There is no equivalent GroupNorm module to replace BatchNorm with." | ||
| ) |
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| if module.num_features % min(32, module.num_features) != 0: | |
| raise UnsupportableModuleError( | |
| "There is no equivalent GroupNorm module to replace BatchNorm with." | |
| ) |
Raising an error seems very prohibitive. The default value of 32 was chosen based on the empirical results in the paper, but using a different value for num_groups is still better than disallowing conversion.
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what was the previous behavior? You would get an error message if and only if you actually ran the module?
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@gchanan, yes, you only get an error when running the module before.
opacus/validators/batch_norm.py
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| "There is no equivalent GroupNorm module to replace BatchNorm with." | ||
| ) | ||
| return nn.GroupNorm( | ||
| min(32, module.num_features), module.num_features, affine=module.affine |
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| min(32, module.num_features), module.num_features, affine=module.affine | |
| gcd(32, module.num_features), module.num_features, affine=module.affine |
How about replacing min with gcd? This should work for any number of channels, and will distill to InstanceNorm in the extreme case.
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Thanks, the code is changed to use the gcd method.
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@XiaobingSuper has updated the pull request. You must reimport the pull request before landing. |
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@karthikprasad has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
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This PR will do params check when converting BatchNorm to GroupNorm, because GroupNorm should have some pre-request at its initiation step.