# cda  -> whether to use curriculum diffused augmentation on feature space
# desc -> modify the saved file name
# cfg  -> from the author, fastgan for large datasets while fastgan_lite for small datasets
python train.py --outdir=training-runs --data="../datasets/pokemon256.zip" --gpus=4 --cfg fastgan_lite --batch 64 --batch-gpu=8 --mirror=1 --snap 50 --kimg 10000 --cda 1 --desc exp1
python train.py --outdir=training-runs --data="../datasets/pokemon256.zip" --gpus=4 --cfg fastgan --batch 64 --batch-gpu=8 --mirror=1 --snap 50 --kimg 10000 --cda 1 --desc exp1