mlcommons / algorithmic-efficiency

MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
https://mlcommons.org/en/groups/research-algorithms/
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Clarify ported submissions in the technical documentation #750

Closed fsschneider closed 4 months ago

fsschneider commented 4 months ago

Adds a subsection about ported submissions (e.g. submitting both a JAX and PyTorch version of an algorithm). Submitters are required to designate one of those as eligible, with the remaining ones being considered baselines.

github-actions[bot] commented 4 months ago

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