mmpretrain/configs/_base_/models/replknet-XL_in1k.py

16 lines
369 B
Python

model = dict(
type='ImageClassifier',
backbone=dict(
type='RepLKNet',
arch='XL',
out_indices=(3, ),
),
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),
))