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https://github.com/open-mmlab/mmpretrain.git
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2932f9d8a3
* [Squash] Refator ViT (from #295) * Use base variable to simplify auto_aug setting * Use common PatchEmbed, remove HybridEmbed and refactor ViT init structure. * Add `output_cls_token` option and change the output format of ViT and input format of ViT head. * Update unit tests and add test for `output_cls_token`. * Support out_indices. * Standardize config files * Support resize position embedding. * Add readme file of vit * Rename config file * Improve docs about ViT. * Update docstring * Use local version `MultiheadAttention` instead of mmcv version. * Fix MultiheadAttention * Support `qk_scale` argument in `MultiheadAttention` * Improve docs and change `layer_cfg` to `layer_cfgs` and support sequence. * Use init_cfg to init Linear layer in VisionTransformerHead * update metafile * Update checkpoints and configs * Imporve docstring. * Update README * Revert GAP modification.
25 lines
593 B
Python
25 lines
593 B
Python
# model settings
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model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='VisionTransformer',
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arch='l',
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img_size=224,
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patch_size=16,
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drop_rate=0.1,
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init_cfg=[
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dict(
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type='Kaiming',
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layer='Conv2d',
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mode='fan_in',
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nonlinearity='linear')
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]),
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neck=None,
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head=dict(
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type='VisionTransformerClsHead',
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num_classes=1000,
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in_channels=1024,
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loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
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topk=(1, 5),
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))
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