Generalize dice_loss with alpha/beta weighting#1458
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copybara-service[bot] merged 1 commit intogoogle-deepmind:mainfrom Jan 23, 2026
Merged
Generalize dice_loss with alpha/beta weighting#1458copybara-service[bot] merged 1 commit intogoogle-deepmind:mainfrom
copybara-service[bot] merged 1 commit intogoogle-deepmind:mainfrom
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rdyro
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Nov 7, 2025
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Nice, thank you for this PR! I left 1 comment
optax/losses/_segmentation.py
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In the spirit of modularity, maybe this can be removed? Can the user add the dice and ce losses themselves? Do you see an advantage to exposing this as a single function?
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Yes, I agree. I will remove this and the related stuff and recommit.
Apologies for such a late reply.
aymuos15
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vroulet
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Jan 22, 2026
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Thanks, I'll patch it internally.
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This should now close: #1358
As per the discussion here: #1366 (comment) the weighing with dice should accommodate some more overlap losses automatically.