python main.py data=in32_pickle sg.params.condition_method=cluster dynamic=unet_fast dynamic.params.model_channels=128 data.params.batch_size=128 sg.params.cond_dim=10000 data.h5_file=sg_data/cluster/v3_in32p_cluster10000_iter30minp200_nns-1_dino_vitb16_2022-08-17T21_7b919c8.h5 sg.params.cond_drop_prob=0.1 sg.params.cond_scale=2 data.trainer.max_epochs=800 data.fid_every_n_epoch=10 name=aaaa_ep800_4gpu pl.trainer.strategy=ddp devices=4 debug=0
python main.py data=in32_pickle dynamic=unet_fast sg.params.condition_method=label sg.params.cond_drop_prob=0.1 sg.params.cond_scale=2 dynamic.params.model_channels=128 sg.params.cond_dim=1000 data.trainer.max_epochs=20 data.fid_every_n_epoch=4 data.params.batch_size=128 name=aaaa_v1.6.2_label_in32p_unet_fast_ep8800 debug=0 data.trainer.max_epochs=8800 data.fid_every_n_epoch=10 pl.trainer.strategy=ddp devices=4 debug=0
python main.py data=in32_pickle dynamic=unet_fast sg.params.condition_method=label sg.params.cond_drop_prob=0.1 sg.params.cond_scale=2 dynamic.params.m