21 lines
615 B
Python
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)
|