34 lines
876 B
Python
34 lines
876 B
Python
_base_ = [
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'../_base_/models/resnet50.py',
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'../_base_/datasets/imagenet_bs256_rsb_a12.py',
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'../_base_/schedules/imagenet_bs2048_rsb.py',
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'../_base_/default_runtime.py'
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]
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# Model settings
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model = dict(
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backbone=dict(
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norm_cfg=dict(type='SyncBN', requires_grad=True),
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drop_path_rate=0.05,
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),
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head=dict(
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loss=dict(
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type='LabelSmoothLoss',
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label_smooth_val=0.1,
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mode='original',
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)),
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train_cfg=dict(augments=[
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dict(type='BatchMixup', alpha=0.2, num_classes=1000, prob=0.5),
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dict(type='BatchCutMix', alpha=1.0, num_classes=1000, prob=0.5)
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]))
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# Dataset settings
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sampler = dict(type='RepeatAugSampler')
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# Schedule settings
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runner = dict(max_epochs=600)
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optimizer = dict(
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weight_decay=0.01,
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paramwise_cfg=dict(bias_decay_mult=0., norm_decay_mult=0.),
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)
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