# model settings
model = dict(
    type='ImageClassifier',
    backbone=dict(type='VAN', arch='base', drop_path_rate=0.1),
    neck=dict(type='GlobalAveragePooling'),
    head=dict(
        type='LinearClsHead',
        num_classes=1000,
        in_channels=512,
        init_cfg=None,  # suppress the default init_cfg of LinearClsHead.
        loss=dict(
            type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
        cal_acc=False))

# model settings
model = dict(
    type='ImageClassifier',
    backbone=dict(type='VAN', arch='base', drop_path_rate=0.1),
    neck=dict(type='GlobalAveragePooling'),
    head=dict(
        type='LinearClsHead',
        num_classes=1000,
        in_channels=512,
        init_cfg=None,  # suppress the default init_cfg of LinearClsHead.
        loss=dict(
            type='LabelSmoothLoss', label_smooth_val=0.1, mode='original'),
        cal_acc=False))

# model settings # suppress the default init_cfg of LinearClsHead.