mmpretrain/configs/swav/benchmarks/resnet50_8xb512-linear-cosl...

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518 B
Python

_base_ = [
'../../_base_/models/resnet50.py',
'../../_base_/datasets/imagenet_bs32_pil_resize.py',
'../../_base_/schedules/imagenet_lars_coslr_90e.py',
'../../_base_/default_runtime.py',
]
model = dict(
backbone=dict(
frozen_stages=4,
init_cfg=dict(type='Pretrained', checkpoint='', prefix='backbone.')))
# dataset summary
train_dataloader = dict(batch_size=512)
# runtime settings
default_hooks = dict(
checkpoint=dict(type='CheckpointHook', interval=10, max_keep_ckpts=3))