First, install all dependencies with the command:
pip install -r /path/to/requirements.txt
On a computer without an Nvidia GPU, place train and test data in the dataset folder and run:
run_single_job.py --config=richgan/configs/simple.mc/simple.mc.muon.config.yaml \
--gpu_num=-1 \
--schema=evaluation \
--no_uuid_suffix
The graphs will appear in the
logs/SimpleModelMuonMC/eval/pdf/004999
in pdf format, then they can be merged using the files:
DLLs.tex
efficiency_ratio.tex
efficiency_ratio2.tex
python run_single_job.py --config=richgan/configs/simple.mc/simple.mc.muon.config.yaml \
--gpu_num=0 \
--schema=training \
--no_uuid_suffix