mmpretrain/configs/edgenext/edgenext-xsmall_8xb256_in1k.py
Songyang Zhang 81f10ccbb7
[Feature] Support EdgeNeXt for dev-1.x. (#1037)
* [Feature] add EdgeNeXt for dev-1.x

* [Feature] add update

* Imporve EdgeNeXt

* Fix div error in low pytorch version

Co-authored-by: mzr1996 <mzr1996@163.com>
2022-09-21 13:27:04 +08:00

21 lines
615 B
Python

_base_ = [
'../_base_/models/edgenext/edgenext-xsmall.py',
'../_base_/datasets/imagenet_bs64_edgenext_256.py',
'../_base_/schedules/imagenet_bs1024_adamw_swin.py',
'../_base_/default_runtime.py',
]
# schedule setting
optim_wrapper = dict(
optimizer=dict(lr=6e-3),
clip_grad=dict(max_norm=5.0),
)
# runtime setting
custom_hooks = [dict(type='EMAHook', momentum=4e-5, priority='ABOVE_NORMAL')]
# NOTE: `auto_scale_lr` is for automatically scaling LR
# based on the actual training batch size.
# base_batch_size = (32 GPUs) x (128 samples per GPU)
auto_scale_lr = dict(base_batch_size=4096)