export CUDA_VISIBLE_DEVICES=0,1,2,3 export FLAGS_fraction_of_gpu_memory_to_use=0.96 python -u train.py \ --model=EfficientNet \ --batch_size=512 \ --test_batch_size=128 \ --total_images=1281167 \ --class_dim=1000 \ --image_shape=3,224,224 \ --resize_short_size=256 \ --model_save_dir=output/ \ --lr_strategy=exponential_decay_warmup \ --lr=0.032 \ --num_epochs=360 \ --l2_decay=1e-5 \ --use_label_smoothing=True \ --label_smoothing_epsilon=0.1 \ --use_ema=True \ --ema_decay=0.9999 \ --drop_connect_rate=0.1 \ --padding_type="SAME" \ --interpolation=2 \ --use_aa=True
