mmpretrain/configs/swin_transformer/swin_large_16xb64_in1k.py

# Copyright (c) OpenMMLab. All rights reserved.
# This is a BETA new format config file, and the usage may change recently.
from mmengine.config import read_base

with read_base():
    from .._base_.datasets.imagenet_bs64_swin_224 import *
    from .._base_.default_runtime import *
    from .._base_.models.swin_transformer_base import *
    from .._base_.schedules.imagenet_bs1024_adamw_swin import *

# model settings
model.update(
    backbone=dict(arch='large', img_size=224, stage_cfgs=None),
    head=dict(in_channels=1536),
)

# schedule settings
optim_wrapper = dict(clip_grad=dict(max_norm=5.0))