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dbf3df21a3
* [Refactor] Use to specify ViT-like backbone output. * Fix ClsBatchNormNeck * Update mmpretrain/models/necks/mae_neck.py --------- Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com>
31 lines
838 B
Python
31 lines
838 B
Python
model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='BEiTViT',
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arch='l',
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img_size=224,
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patch_size=14,
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layer_scale_init_value=0.0,
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out_type='avg_featmap',
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use_abs_pos_emb=True,
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use_rel_pos_bias=False,
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use_shared_rel_pos_bias=False,
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layer_cfgs=dict(bias=True),
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),
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neck=None,
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head=dict(
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type='LinearClsHead',
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num_classes=1000,
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in_channels=1024,
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loss=dict(
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type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
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),
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init_cfg=[
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dict(type='TruncNormal', layer='Linear', std=.02),
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dict(type='Constant', layer='LayerNorm', val=1., bias=0.),
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],
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train_cfg=dict(augments=[
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dict(type='Mixup', alpha=0.8),
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dict(type='CutMix', alpha=1.0)
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]))
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