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- someone changed the slurm in script to use /c indicating they run it on windows, but don't you want to run it on green:
sed -i "/log_file:/c\log_file: $(dirname $THEPATH)/cloudmask_run.log" $(dirname $THEPATH)/config.yaml sed -i "/mlperf_logfile:/c\mlperf_logfile: $(dirname $THEPATH)/mlperf_cloudmask.log" $(dirname $THEPATH)/config.yaml sed -i "/model_file:/c\model_file: $(dirname $THEPATH)/cloudModel.h5" $(dirname $THEPATH)/config.yaml - we need a config.in.yaml that includes a USERTOREPLACE instead of the full username. than we can call
make yamlto create the config.yaml file. The readme has to be updated. The makefile should use config.in.yaml and not config.yaml - _load_data contains code that has absolute values that were replaced by UK team in main code for accuracy, should that be changed in data load?
- new log file library should be integrated: git+https://github.com/mlperf/logging.git@2.1.0
- new numpy version should be tested: # numpy<1.24
- look at and update: Initial tasks mlcommons-nyu-uva#1
- look at and update: Tasks: 11/2 mlcommons-nyu-uva#2
- every week look at and update: https://docs.google.com/document/d/1LUuVSeLYv-717TJxtyikihLmuyf6at50FNBn57Doo_4/edit#heading=h.7p7jjuq4vbsm
- get rid of the presentations and move content into https://docs.google.com/document/d/1LUuVSeLYv-717TJxtyikihLmuyf6at50FNBn57Doo_4/edit#heading=h.7p7jjuq4vbsm
- create uniform accuracy measurement across training and inference
- Submitter: see MLCommons submitter for Greene #49
- setup_env seems to have ben replaced by Makefile: see Makefile and https://github.com/laszewsk/mlcommons/blob/main/benchmarks/cloudmask/experiments/greene/setup_env_and_yaml.py
- simple.slurm has a couple of comments that seem not needed: https://github.com/laszewsk/mlcommons/blob/main/benchmarks/cloudmask/experiments/greene/simple.slurm
- add other issues here
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