Type max_inference_sigma as float | None to match downstream consumer#314
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ebetica
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May 30, 2026
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The
fold()/prepare_input()signature inesm/models/esmfold2/processor.pytypesmax_inference_sigmaasint | None, but the downstream consumer intransformers/models/esmfold2/modeling_esmfold2_common.py:1722types it asfloat | None = 256.0and castsfloat(max_inference_sigma)at the use site.Sigma is a continuous quantity along the Karras schedule, so float is the correct type. The default value (
256.0) is already a float. This patch aligns the user-facing API type annotation with what the model consumes.