mmpretrain/configs/mocov2/benchmarks/resnet50_8xb32-linear-stepl...

21 lines
591 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,
init_cfg=dict(type='Pretrained', checkpoint='', prefix='backbone.')))
# 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))