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https://github.com/open-mmlab/mmclassification.git
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08dc8c75d3
* remove basehead * add moco series * add byol simclr simsiam * add ut * update configs * add simsiam hook * add and refactor beit * update ut * add cae * update extract_feat * refactor cae * add mae * refactor data preprocessor * update heads * add maskfeat * add milan * add simmim * add mixmim * fix lint * fix ut * fix lint * add eva * add densecl * add barlowtwins * add swav * fix lint * update readtherdocs rst * update docs * update * Decrease UT memory usage * Fix docstring * update DALLEEncoder * Update model docs * refactor dalle encoder * update docstring * fix ut * fix config error * add val_cfg and test_cfg * refactor clip generator * fix lint * pass check * fix ut * add lars * update type of BEiT in configs * Use MMEngine style momentum in EMA. * apply mmpretrain solarize --------- Co-authored-by: mzr1996 <mzr1996@163.com>
19 lines
714 B
Python
19 lines
714 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from .class_num_check_hook import ClassNumCheckHook
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from .densecl_hook import DenseCLHook
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from .ema_hook import EMAHook
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from .margin_head_hooks import SetAdaptiveMarginsHook
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from .precise_bn_hook import PreciseBNHook
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from .retriever_hooks import PrepareProtoBeforeValLoopHook
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from .simsiam_hook import SimSiamHook
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from .swav_hook import SwAVHook
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from .switch_recipe_hook import SwitchRecipeHook
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from .visualization_hook import VisualizationHook
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__all__ = [
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'ClassNumCheckHook', 'PreciseBNHook', 'VisualizationHook',
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'SwitchRecipeHook', 'PrepareProtoBeforeValLoopHook',
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'SetAdaptiveMarginsHook', 'EMAHook', 'SimSiamHook', 'DenseCLHook',
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'SwAVHook'
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]
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