mmpretrain/configs/swin_transformer/swin-small_16xb64_in1k.py
2022-07-18 11:11:13 +08:00

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Python

_base_ = [
'../_base_/models/swin_transformer/small_224.py',
'../_base_/datasets/imagenet_bs64_swin_224.py',
'../_base_/schedules/imagenet_bs1024_adamw_swin.py',
'../_base_/default_runtime.py'
]
# schedule settings
optim_wrapper = dict(clip_grad=dict(max_norm=5.0))
# NOTE: `auto_scale_lr` is for automatically scaling LR,
# USER SHOULD NOT CHANGE ITS VALUES.
# base_batch_size = (16 GPUs) x (64 samples per GPU)
auto_scale_lr = dict(base_batch_size=1024)