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_base_ = [
'../../configs/_base_/models/mask_rcnn_uniformer_fpn.py',
'../../configs/_base_/datasets/coco_instance.py',
'../../configs/_base_/schedules/schedule_1x.py',
'../../configs/_base_/default_runtime.py'
]
model = dict(
backbone=dict(
embed_dim=[64, 128, 320, 512],
layers=[3, 4, 8, 3],
head_dim=64,
drop_path_rate=0.2,
use_checkpoint=True,
checkpoint_num=[0, 0, 8, 0],
windows=False,
hybrid=True,
window_size=14
),
neck=dict(in_channels=[64, 128, 320, 512]))
optimizer = dict(_delete_=True, type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.05,
paramwise_cfg=dict(custom_keys={'absolute_pos_embed': dict(decay_mult=0.),
'relative_position_bias_table': dict(decay_mult=0.),
'norm': dict(decay_mult=0.)}))
lr_config = dict(step=[8, 11])
runner = dict(type='EpochBasedRunnerAmp', max_epochs=12)
# do not use mmdet version fp16
fp16 = None
optimizer_config = dict(
type="DistOptimizerHook",
update_interval=1,
grad_clip=None,
coalesce=True,
bucket_size_mb=-1,
use_fp16=True,
)