| # Model settings | |
| model = dict( | |
| type='ImageClassifier', | |
| backbone=dict( | |
| type='TinyViT', | |
| arch='11m', | |
| img_size=(224, 224), | |
| window_size=[7, 7, 14, 7], | |
| 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=448, | |
| loss=dict(type='CrossEntropyLoss', loss_weight=1.0), | |
| )) | |