#ShuffleNetV2_x2_0: python train.py \ --model=ShuffleNetV2_x2_0 \ --batch_size=512 \ --total_images=1281167 \ --class_dim=1000 \ --image_shape=3,224,224 \ --model_save_dir=output/ \ --lr_strategy=cosine_decay_warmup \ --num_epochs=240 \ --lr=0.25 \ --l2_decay=4e-5
