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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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dev -> main #695

Closed priyakasimbeg closed 6 months ago

priyakasimbeg commented 6 months ago

Update to CUDA 12.1 Add flag to submission_runner.py to set number of workers in data loaders during eval. Imagenet dataset setup fixes for PyTorch. Add .csv files with metrics for external_tuning prize qualification baselines.

github-actions[bot] commented 6 months ago

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