text: # optimizer
  optimizer = dict(
      type='SGD', lr=0.4, momentum=0.9, weight_decay=0.0001, nesterov=True)
  optimizer_config = dict(grad_clip=None)
  # learning policy
  lr_config = dict(
      policy='step',
      warmup='linear',
      warmup_iters=5000,
      warmup_ratio=0.25,
      step=[30, 60, 90])
  runner = dict(type='EpochBasedRunner', max_epochs=100)
  