2023-02-23 11:17:16 +08:00
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_base_ = [
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'../../_base_/models/resnet50.py',
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2023-03-03 15:01:11 +08:00
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'../../_base_/datasets/imagenet_bs32_pil_resize.py',
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2023-02-23 11:17:16 +08:00
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'../../_base_/schedules/imagenet_lars_coslr_90e.py',
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'../../_base_/default_runtime.py',
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]
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2023-07-28 15:28:29 +08:00
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model = dict(
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backbone=dict(
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frozen_stages=4,
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init_cfg=dict(type='Pretrained', checkpoint='', prefix='backbone.')))
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2023-02-23 11:17:16 +08:00
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# dataset summary
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train_dataloader = dict(batch_size=512)
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# runtime settings
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default_hooks = dict(
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checkpoint=dict(type='CheckpointHook', interval=10, max_keep_ckpts=3))
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