mirror of
https://github.com/open-mmlab/mmclassification.git
synced 2025-06-03 21:53:55 +08:00
18f6bb0b10
* implement the conformer * format code style * format code style * reuse the TransformerEncoderLayer in the vision_transformer.py * Modify variable name * delete unused params * Remove warning info in Conformer head since it already exists in Conformer. * Rename some variables * Add unit tests * Use `getattr` instead of `get_submodule`. * Remove some useless layers * Refactor conformer and add configs * Update configs and add metafile. * Fix unit tests * Update README Co-authored-by: mzr1996 <mzr1996@163.com>
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
|
|
from .alexnet import AlexNet
|
|
from .conformer import Conformer
|
|
from .lenet import LeNet5
|
|
from .mlp_mixer import MlpMixer
|
|
from .mobilenet_v2 import MobileNetV2
|
|
from .mobilenet_v3 import MobileNetV3
|
|
from .regnet import RegNet
|
|
from .repvgg import RepVGG
|
|
from .res2net import Res2Net
|
|
from .resnest import ResNeSt
|
|
from .resnet import ResNet, ResNetV1d
|
|
from .resnet_cifar import ResNet_CIFAR
|
|
from .resnext import ResNeXt
|
|
from .seresnet import SEResNet
|
|
from .seresnext import SEResNeXt
|
|
from .shufflenet_v1 import ShuffleNetV1
|
|
from .shufflenet_v2 import ShuffleNetV2
|
|
from .swin_transformer import SwinTransformer
|
|
from .t2t_vit import T2T_ViT
|
|
from .timm_backbone import TIMMBackbone
|
|
from .tnt import TNT
|
|
from .vgg import VGG
|
|
from .vision_transformer import VisionTransformer
|
|
|
|
__all__ = [
|
|
'LeNet5', 'AlexNet', 'VGG', 'RegNet', 'ResNet', 'ResNeXt', 'ResNetV1d',
|
|
'ResNeSt', 'ResNet_CIFAR', 'SEResNet', 'SEResNeXt', 'ShuffleNetV1',
|
|
'ShuffleNetV2', 'MobileNetV2', 'MobileNetV3', 'VisionTransformer',
|
|
'SwinTransformer', 'TNT', 'TIMMBackbone', 'T2T_ViT', 'Res2Net', 'RepVGG',
|
|
'Conformer', 'MlpMixer'
|
|
]
|