mmselfsup/configs/benchmarks/classification/imagenet/resnet50_8xb512-coslr-90e_i...

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Python

_base_ = [
'../_base_/models/resnet50.py',
'../_base_/datasets/imagenet.py',
'../_base_/schedules/lars_coslr-90e.py',
'../_base_/default_runtime.py',
]
model = dict(backbone=dict(frozen_stages=4))
# dataset summary
data = dict(imgs_per_gpu=512) # total 512*8=4096, 8GPU linear cls
# simsiam setting
# runtime settings
# the max_keep_ckpts controls the max number of ckpt file in your work_dirs
# if it is 3, when CheckpointHook (in mmcv) saves the 4th ckpt
# it will remove the oldest one to keep the number of total ckpts as 3
checkpoint_config = dict(interval=10, max_keep_ckpts=3)