_base_ = './mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco.py'
# learning policy
max_epochs = 24
train_cfg = dict(max_epochs=max_epochs)

# learning rate
param_scheduler = [
    dict(
        type='LinearLR', start_factor=0.001, by_epoch=False, begin=0, end=500),
    dict(
        type='MultiStepLR',
        begin=0,
        end=max_epochs,
        by_epoch=True,
        milestones=[20, 23],
        gamma=0.1)
]

_base_ = './mask_rcnn_x50_32x4d_fpn_gn_ws-all_2x_coco.py'
# learning policy
lr_config = dict(step=[20, 23])
runner = dict(type='EpochBasedRunner', max_epochs=24)
