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hubconf.py 2.5 KB

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  1. # Optional list of dependencies required by the package
  2. dependencies = ["torch"]
  3. from torchvision.models import get_model_weights, get_weight
  4. from torchvision.models.alexnet import alexnet
  5. from torchvision.models.convnext import convnext_base, convnext_large, convnext_small, convnext_tiny
  6. from torchvision.models.densenet import densenet121, densenet161, densenet169, densenet201
  7. from torchvision.models.efficientnet import (
  8. efficientnet_b0,
  9. efficientnet_b1,
  10. efficientnet_b2,
  11. efficientnet_b3,
  12. efficientnet_b4,
  13. efficientnet_b5,
  14. efficientnet_b6,
  15. efficientnet_b7,
  16. efficientnet_v2_l,
  17. efficientnet_v2_m,
  18. efficientnet_v2_s,
  19. )
  20. from torchvision.models.googlenet import googlenet
  21. from torchvision.models.inception import inception_v3
  22. from torchvision.models.maxvit import maxvit_t
  23. from torchvision.models.mnasnet import mnasnet0_5, mnasnet0_75, mnasnet1_0, mnasnet1_3
  24. from torchvision.models.mobilenetv2 import mobilenet_v2
  25. from torchvision.models.mobilenetv3 import mobilenet_v3_large, mobilenet_v3_small
  26. from torchvision.models.optical_flow import raft_large, raft_small
  27. from torchvision.models.regnet import (
  28. regnet_x_16gf,
  29. regnet_x_1_6gf,
  30. regnet_x_32gf,
  31. regnet_x_3_2gf,
  32. regnet_x_400mf,
  33. regnet_x_800mf,
  34. regnet_x_8gf,
  35. regnet_y_128gf,
  36. regnet_y_16gf,
  37. regnet_y_1_6gf,
  38. regnet_y_32gf,
  39. regnet_y_3_2gf,
  40. regnet_y_400mf,
  41. regnet_y_800mf,
  42. regnet_y_8gf,
  43. )
  44. from torchvision.models.resnet import (
  45. resnet101,
  46. resnet152,
  47. resnet18,
  48. resnet34,
  49. resnet50,
  50. resnext101_32x8d,
  51. resnext101_64x4d,
  52. resnext50_32x4d,
  53. wide_resnet101_2,
  54. wide_resnet50_2,
  55. )
  56. from torchvision.models.segmentation import (
  57. deeplabv3_mobilenet_v3_large,
  58. deeplabv3_resnet101,
  59. deeplabv3_resnet50,
  60. fcn_resnet101,
  61. fcn_resnet50,
  62. lraspp_mobilenet_v3_large,
  63. )
  64. from torchvision.models.shufflenetv2 import (
  65. shufflenet_v2_x0_5,
  66. shufflenet_v2_x1_0,
  67. shufflenet_v2_x1_5,
  68. shufflenet_v2_x2_0,
  69. )
  70. from torchvision.models.squeezenet import squeezenet1_0, squeezenet1_1
  71. from torchvision.models.swin_transformer import swin_b, swin_s, swin_t, swin_v2_b, swin_v2_s, swin_v2_t
  72. from torchvision.models.vgg import vgg11, vgg11_bn, vgg13, vgg13_bn, vgg16, vgg16_bn, vgg19, vgg19_bn
  73. from torchvision.models.video import (
  74. mc3_18,
  75. mvit_v1_b,
  76. mvit_v2_s,
  77. r2plus1d_18,
  78. r3d_18,
  79. s3d,
  80. swin3d_b,
  81. swin3d_s,
  82. swin3d_t,
  83. )
  84. 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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