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https://github.com/open-mmlab/mmpretrain.git
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29f066f7fb
* [Improve] Speed up data preprocessor. * Add ClsDataSample serialization override functions. * Add unit tests * Modify configs to fit new mixup args. * Fix `num_classes` of the ImageNet-21k config. * Update docs.
16 lines
398 B
Python
16 lines
398 B
Python
_base_ = [
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'../_base_/models/vit-base-p32.py',
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'../_base_/datasets/imagenet_bs64_pil_resize_autoaug.py',
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'../_base_/schedules/imagenet_bs4096_AdamW.py',
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'../_base_/default_runtime.py'
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]
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# model setting
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model = dict(
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head=dict(hidden_dim=3072),
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train_cfg=dict(augments=dict(type='Mixup', alpha=0.2)),
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)
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# schedule setting
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optim_wrapper = dict(clip_grad=dict(max_norm=1.0))
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