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hubconf.py 2.25 KB
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# Optional list of dependencies required by the package
dependencies = ["torch"]
from torchvision.models import get_model_weights, get_weight
from torchvision.models.alexnet import alexnet
from torchvision.models.convnext import convnext_base, convnext_large, convnext_small, convnext_tiny
from torchvision.models.densenet import densenet121, densenet161, densenet169, densenet201
from torchvision.models.efficientnet import (
efficientnet_b0,
efficientnet_b1,
efficientnet_b2,
efficientnet_b3,
efficientnet_b4,
efficientnet_b5,
efficientnet_b6,
efficientnet_b7,
efficientnet_v2_l,
efficientnet_v2_m,
efficientnet_v2_s,
)
from torchvision.models.googlenet import googlenet
from torchvision.models.inception import inception_v3
from torchvision.models.mnasnet import mnasnet0_5, mnasnet0_75, mnasnet1_0, mnasnet1_3
from torchvision.models.mobilenetv2 import mobilenet_v2
from torchvision.models.mobilenetv3 import mobilenet_v3_large, mobilenet_v3_small
from torchvision.models.optical_flow import raft_large, raft_small
from torchvision.models.regnet import (
regnet_x_16gf,
regnet_x_1_6gf,
regnet_x_32gf,
regnet_x_3_2gf,
regnet_x_400mf,
regnet_x_800mf,
regnet_x_8gf,
regnet_y_128gf,
regnet_y_16gf,
regnet_y_1_6gf,
regnet_y_32gf,
regnet_y_3_2gf,
regnet_y_400mf,
regnet_y_800mf,
regnet_y_8gf,
)
from torchvision.models.resnet import (
resnet101,
resnet152,
resnet18,
resnet34,
resnet50,
resnext101_32x8d,
resnext101_64x4d,
resnext50_32x4d,
wide_resnet101_2,
wide_resnet50_2,
)
from torchvision.models.segmentation import (
deeplabv3_mobilenet_v3_large,
deeplabv3_resnet101,
deeplabv3_resnet50,
fcn_resnet101,
fcn_resnet50,
lraspp_mobilenet_v3_large,
)
from torchvision.models.shufflenetv2 import (
shufflenet_v2_x0_5,
shufflenet_v2_x1_0,
shufflenet_v2_x1_5,
shufflenet_v2_x2_0,
)
from torchvision.models.squeezenet import squeezenet1_0, squeezenet1_1
from torchvision.models.swin_transformer import swin_b, swin_s, swin_t
from torchvision.models.vgg import vgg11, vgg11_bn, vgg13, vgg13_bn, vgg16, vgg16_bn, vgg19, vgg19_bn
from torchvision.models.vision_transformer import vit_b_16, vit_b_32, vit_h_14, vit_l_16, vit_l_32
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