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MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

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The submission_runner_test.py test appears that is not currently included in the CI test suite.

🧪 Test

Some workloads e.g. Criteo1TB spent 75% of the total runtime time on evaluations. We should re-analyze and potentially reconfigure the intervals.