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# 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
