dev -> main #670
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dev -> main #670
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Reduce batch size for imagenet variants
Fix bugs in workload variants
Prize qualificaton logs
Criteo variants debugging
Increase number of evals for Criteo1tb
[WIP] Self tuning workflow fixes
fix fastmri datasetup
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MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅ |
fix networkx package dependency version
Use separate `rng` for dropout in FastMRI `model_init`
Tuning search space fix in Docker startup script
Update changelist 03-04-2024
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Tests passed in https://github.com/mlcommons/algorithmic-efficiency/actions/runs/8133680125/job/22272986163?pr=670.
Workload variant additions and fixes:
Add prize qualification logs for external tuning ruleset.
Note: FastMRI trials with dropout are not yet added due to #664.
Add missing funcitonality to Docker startup script for self_tuning ruleset.
Add self_tuning ruleset option to script that runs all workloads for scoring.
Datasetup fixes.
Fix tests that check training differences in PyTorch and JAX on GPU.