mmpretrain/configs/_base_/models/resnet50_label_smooth.py

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# model settings
model = dict(
type='ImageClassifier',
backbone=dict(
type='ResNet',
depth=50,
num_stages=4,
out_indices=(3, ),
style='pytorch'),
neck=dict(type='GlobalAveragePooling'),
head=dict(
type='LinearClsHead',
num_classes=1000,
in_channels=2048,
loss=dict(
type='LabelSmoothLoss', label_smooth_val=0.1, loss_weight=1.0),
topk=(1, 5),
))