# optimizer optimizer = dict(type='SGD', lr=0.04, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=None) # learning policy lr_config = dict( policy='step', warmup='linear', warmup_iters=500, warmup_ratio=0.001, step=[48, 55], ) runner = dict(type='EpochBasedRunner', max_epochs=60)