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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, | |
) | |