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# Model settings
model = dict(
type='ImageClassifier',
backbone=dict(
type='EdgeNeXt',
arch='small',
out_indices=(3, ),
drop_path_rate=0.1,
gap_before_final_norm=True,
init_cfg=[
dict(
type='TruncNormal',
layer=['Conv2d', 'Linear'],
std=.02,
bias=0.),
dict(type='Constant', layer=['LayerNorm'], val=1., bias=0.),
]),
head=dict(
type='LinearClsHead',
num_classes=1000,
in_channels=304,
loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
))
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