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https://github.com/open-mmlab/mmpretrain.git
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59292b315a
* init add densenet implementation * Add config and converted models * update meta * add test for memory efficient * Add docs * add doc for jit * Update checkpoint path * Update readthedocs Co-authored-by: mzr1996 <mzr1996@163.com>
12 lines
316 B
Python
12 lines
316 B
Python
# Model settings
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model = dict(
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type='ImageClassifier',
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backbone=dict(type='DenseNet', arch='161'),
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neck=dict(type='GlobalAveragePooling'),
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head=dict(
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type='LinearClsHead',
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num_classes=1000,
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in_channels=2208,
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loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
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))
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