# optimizer
optimizer = dict(type='SGD', lr=1e-3, momentum=0.99, weight_decay=5e-4)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config = dict(policy='step', step=[200, 400])
total_epochs = 600
