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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/
Apache License 2.0
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Add support for `.eval()` #759

Open netw0rkf10w opened 3 months ago

netw0rkf10w commented 3 months ago

Fixes https://github.com/mlcommons/algorithmic-efficiency/issues/758 and https://github.com/mlcommons/algorithmic-efficiency/issues/719

These two lines of code are sufficient to enable many extrapolation algorithms, including the weight averaging variants such as stochastic weight averaging, exponential moving average, schedule-free (cc @adefazio).

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