# optimizer
optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)

# optimizer config
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=2000)

# checkpoint 每 2000 次儲存一次（最後一次）
checkpoint_config = dict(by_epoch=False, interval=2000)

# 評估設定，每 2000 次執行一次 mIoU 評估
evaluation = dict(interval=2000, metric='mIoU', pre_eval=True)