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1. Add finewebedu workload. 2. Update num_trials and num_studies to be flag defined (since they can vary between self and external tuning rulesets) 3. Have every run use a different seed for more variability
1. Ensure any variable can be passed in via flags. Folks shouldn't have to edit the file and hardcode variables for any reason. 2. Pass max global steps via a flag. 3. Update some default values for the new submission (repo/image/config file/logs bucket)
The script is meant to be used only in the slurm cluster. It forces a specific directory structure, and checks for it right in the beginning. If the dir structure is not as expected, it throws an error and explains the structure it expects. It also includes a dry run flag which runs the job for 10 steps, and includes a command on how to use it at the top of the file. Also update the readme file to explain this script.
1. Update base workloads to 9 (with finewebedu). 2. Remove all logic related to test targets, since they are no longer used. Work only with validation targets. 3. Fix step time computation.
1. Fix linter issue in make_job_config 2. Fix typo in docker image creation script 3. Add importlib resources to ensure backwards compatibilty. Without that the tests seem to fail on ModuleNotFoundError.
A100 scoring changes
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