mmpretrain/configs/resnet/resnet50_8xb256-rsb-a3-100e...

20 lines
625 B
Python

_base_ = [
'../_base_/models/resnet50.py',
'../_base_/datasets/imagenet_bs256_rsb_a3.py',
'../_base_/schedules/imagenet_bs2048_rsb.py',
'../_base_/default_runtime.py'
]
# Model settings
model = dict(
backbone=dict(norm_cfg=dict(type='SyncBN', requires_grad=True)),
head=dict(loss=dict(use_sigmoid=True)),
train_cfg=dict(augments=[
dict(type='BatchMixup', alpha=0.1, num_classes=1000, prob=0.5),
dict(type='BatchCutMix', alpha=1.0, num_classes=1000, prob=0.5)
]))
# Schedule settings
optimizer = dict(
lr=0.008, paramwise_cfg=dict(bias_decay_mult=0., norm_decay_mult=0.))