37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from .alexnet import AlexNet
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from .conformer import Conformer
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from .deit import DistilledVisionTransformer
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from .efficientnet import EfficientNet
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from .lenet import LeNet5
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from .mlp_mixer import MlpMixer
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from .mobilenet_v2 import MobileNetV2
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from .mobilenet_v3 import MobileNetV3
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from .regnet import RegNet
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from .repvgg import RepVGG
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from .res2net import Res2Net
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from .resnest import ResNeSt
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from .resnet import ResNet, ResNetV1d
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from .resnet_cifar import ResNet_CIFAR
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from .resnext import ResNeXt
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from .seresnet import SEResNet
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from .seresnext import SEResNeXt
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from .shufflenet_v1 import ShuffleNetV1
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from .shufflenet_v2 import ShuffleNetV2
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from .swin_transformer import SwinTransformer
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from .t2t_vit import T2T_ViT
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from .timm_backbone import TIMMBackbone
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from .tnt import TNT
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from .twins import PCPVT, SVT
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from .vgg import VGG
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from .vision_transformer import VisionTransformer
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__all__ = [
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'LeNet5', 'AlexNet', 'VGG', 'RegNet', 'ResNet', 'ResNeXt', 'ResNetV1d',
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'ResNeSt', 'ResNet_CIFAR', 'SEResNet', 'SEResNeXt', 'ShuffleNetV1',
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'ShuffleNetV2', 'MobileNetV2', 'MobileNetV3', 'VisionTransformer',
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'SwinTransformer', 'TNT', 'TIMMBackbone', 'T2T_ViT', 'Res2Net', 'RepVGG',
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'Conformer', 'MlpMixer', 'DistilledVisionTransformer', 'PCPVT', 'SVT',
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'EfficientNet'
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]
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