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Make lowest precision, parallelism, MBS, and config_filename mandatory for v6.1 - #472
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pavanky merged 2 commits intoAug 21, 2026
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Require the linear/attn/comm precision and TP/PP/CP/EP keys in every training 6.1 result log so the checker can enforce issue #878. Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
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These disclosure keys were still optional; make them EXACTLY_ONE so every result log identifies the micro-batch size and matching config. Signed-off-by: ShriyaRishab <spalsamudram@nvidia.com>
carualejandro
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Aug 21, 2026
pavanky
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Aug 21, 2026
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Summary
lowest_numerical_precision_in_{linear,attn,comm},{tensor,pipeline,context,expert}_parallelism,micro_batch_size, andconfig_filenamerequired (EXACTLY_ONE) intraining_6.1.0/common.yamlso every Closed and Open result log must report them.1.Fixesmlcommons/training#878
Companion policy PR: mlcommons/training_policies#592
Test plan
training_6.0.0/common.yamlstill marks these keysOPTIONAL= 1, and a non-emptyconfig_filenameand confirm it passes these checks< 1, ormicro_batch_size < 1fails the valueCHECK