mmpretrain/configs/densecl/benchmarks/resnet50_8xb32-linear-stepl...

18 lines
500 B
Python

_base_ = [
'../../_base_/models/resnet50.py',
'../../_base_/datasets/imagenet_bs32_pil_resize.py',
'../../_base_/schedules/imagenet_sgd_steplr_100e.py',
'../../_base_/default_runtime.py',
]
model = dict(backbone=dict(frozen_stages=4))
# optimizer
optim_wrapper = dict(
type='OptimWrapper',
optimizer=dict(type='SGD', lr=30., momentum=0.9, weight_decay=0.))
# runtime settings
default_hooks = dict(
checkpoint=dict(type='CheckpointHook', interval=10, max_keep_ckpts=3))