931cb79e42 | ||
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Mixtures | ||
layers | ||
models | ||
tests | ||
.gitignore | ||
LICENSE | ||
README.md | ||
amd_sample_draw.py | ||
arguments.py | ||
cpu_watt.sh | ||
gpu_power_func.py | ||
gpu_sample_draw.py | ||
main_bayesian.py | ||
main_frequentist.py | ||
mem_free.sh | ||
metrics.py | ||
radeontop.sh | ||
read_pickle.py | ||
run_service.py | ||
stopping_crit.py | ||
uncertainty_estimation.py | ||
utils.py |
README.md
Energy efficiency comparison
This experiment compares a Frequentist CNN model against a Bayesian CNN model
Example run command
python run_service.py -f1 -s -e && sleep 60 && python run_service.py -f2 -s -e && sleep 60 && python run_service.py -f3 -s -e && sleep 60 && python run_service.py -f4 -s -e && sleep 60 && python run_service.py -f5 -s -e && sleep 60 & python run_service.py -f6 -s -e && sleep 60 && python run_service.py -f7 -s -e && sleep 60 && python run_service.py -b1 -s -e && sleep 60 && python run_service.py -b2 -s -e && sleep 60 && python run_service.py -b3 -s -e && sleep 60 && python run_service.py -b4 -s -e && sleep 60 && python run_service.py -b5 -s -e && sleep 60 && python run_service.py -b6 -s -e && sleep 60 && python run_service.py -b7 -s -e && sleep 60