# optimizer optimizer = dict( type='Adam', lr=0.01, weight_decay=0.00001) # this lr is used for 1 gpus optimizer_config = dict(grad_clip=None) # learning policy lr_config = dict(policy='step', step=10) total_epochs = 20
