text: model = dict(
      type='ImageClassifier',
      backbone=dict(
          type='Res2Net',
          depth=101,
          scales=4,
          base_width=26,
          deep_stem=False,
          avg_down=False,
      ),
      neck=dict(type='GlobalAveragePooling'),
      head=dict(
          type='LinearClsHead',
          num_classes=1000,
          in_channels=2048,
          loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
          topk=(1, 5),
      ))
  