text: # optimizer
  optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
  optimizer_config = dict()
  # learning policy
  lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)
  # runtime settings
  runner = dict(type='IterBasedRunner', max_iters=40000)
  checkpoint_config = dict(by_epoch=False, interval=4000)
  evaluation = dict(interval=4000, metric='mIoU', pre_eval=True)
  