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Runtime error
| # model settings | |
| norm_cfg = dict(type='BN', requires_grad=True) | |
| model = dict( | |
| type='EncoderDecoder', | |
| pretrained=None, | |
| backbone=dict( | |
| type='UniFormer', | |
| embed_dim=[64, 128, 320, 512], | |
| layers=[3, 4, 8, 3], | |
| head_dim=64, | |
| mlp_ratio=4., | |
| qkv_bias=True, | |
| drop_rate=0., | |
| attn_drop_rate=0., | |
| drop_path_rate=0.1), | |
| decode_head=dict( | |
| type='UPerHead', | |
| in_channels=[64, 128, 320, 512], | |
| in_index=[0, 1, 2, 3], | |
| pool_scales=(1, 2, 3, 6), | |
| channels=512, | |
| dropout_ratio=0.1, | |
| num_classes=19, | |
| norm_cfg=norm_cfg, | |
| align_corners=False, | |
| loss_decode=dict( | |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), | |
| auxiliary_head=dict( | |
| type='FCNHead', | |
| in_channels=320, | |
| in_index=2, | |
| channels=256, | |
| num_convs=1, | |
| concat_input=False, | |
| dropout_ratio=0.1, | |
| num_classes=19, | |
| norm_cfg=norm_cfg, | |
| align_corners=False, | |
| loss_decode=dict( | |
| type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), | |
| # model training and testing settings | |
| train_cfg=dict(), | |
| test_cfg=dict(mode='whole')) |