Reinstate and deprecate model_urls and quant_model_urls

[datumbox]

Resolves #5836

This PR:

• Reinstates the internal model_urls/quant_model_urls dictionaries and deprecates its usages. We do this ONLY for the models that used dictionaries with names that didn't start with _ and existed in version v0.12. We don't include any new model builders or weights on the deprecation dictionary.
• Updates all deprecation warnings of Multi-weights support API to add specific deletion versions.

Verified with:

import torchvision
import inspect


def fetch_model_urls_from_module(main_module, attribute):
    l = inspect.getmembers(main_module, inspect.ismodule)
    l = [x for x in l if hasattr(x[1], attribute)]
    return dict(
        (t[0], getattr(t[1], attribute)) for t in l
    )


model_urls = {
    "models": fetch_model_urls_from_module(torchvision.models, "model_urls"),
    "detection": fetch_model_urls_from_module(torchvision.models.detection, "model_urls"),
    "optical_flow": fetch_model_urls_from_module(torchvision.models.optical_flow, "model_urls"),
    "quantization": fetch_model_urls_from_module(torchvision.models.quantization, "quant_model_urls"),
    "segmentation": fetch_model_urls_from_module(torchvision.models.segmentation, "model_urls"),
    "video": fetch_model_urls_from_module(torchvision.models.video, "model_urls"),
}

# produced exactly as above by checking out branch release/0.12
model_urls_v012 = {'models': {'densenet': {'densenet121': 'https://download.pytorch.org/models/densenet121-a639ec97.pth', 'densenet169': 'https://download.pytorch.org/models/densenet169-b2777c0a.pth', 'densenet201': 'https://download.pytorch.org/models/densenet201-c1103571.pth', 'densenet161': 'https://download.pytorch.org/models/densenet161-8d451a50.pth'}, 'efficientnet': {'efficientnet_b0': 'https://download.pytorch.org/models/efficientnet_b0_rwightman-3dd342df.pth', 'efficientnet_b1': 'https://download.pytorch.org/models/efficientnet_b1_rwightman-533bc792.pth', 'efficientnet_b2': 'https://download.pytorch.org/models/efficientnet_b2_rwightman-bcdf34b7.pth', 'efficientnet_b3': 'https://download.pytorch.org/models/efficientnet_b3_rwightman-cf984f9c.pth', 'efficientnet_b4': 'https://download.pytorch.org/models/efficientnet_b4_rwightman-7eb33cd5.pth', 'efficientnet_b5': 'https://download.pytorch.org/models/efficientnet_b5_lukemelas-b6417697.pth', 'efficientnet_b6': 'https://download.pytorch.org/models/efficientnet_b6_lukemelas-c76e70fd.pth', 'efficientnet_b7': 'https://download.pytorch.org/models/efficientnet_b7_lukemelas-dcc49843.pth'}, 'inception': {'inception_v3_google': 'https://download.pytorch.org/models/inception_v3_google-0cc3c7bd.pth'}, 'mobilenetv2': {'mobilenet_v2': 'https://download.pytorch.org/models/mobilenet_v2-b0353104.pth'}, 'mobilenetv3': {'mobilenet_v3_large': 'https://download.pytorch.org/models/mobilenet_v3_large-8738ca79.pth', 'mobilenet_v3_small': 'https://download.pytorch.org/models/mobilenet_v3_small-047dcff4.pth'}, 'regnet': {'regnet_y_400mf': 'https://download.pytorch.org/models/regnet_y_400mf-c65dace8.pth', 'regnet_y_800mf': 'https://download.pytorch.org/models/regnet_y_800mf-1b27b58c.pth', 'regnet_y_1_6gf': 'https://download.pytorch.org/models/regnet_y_1_6gf-b11a554e.pth', 'regnet_y_3_2gf': 'https://download.pytorch.org/models/regnet_y_3_2gf-b5a9779c.pth', 'regnet_y_8gf': 'https://download.pytorch.org/models/regnet_y_8gf-d0d0e4a8.pth', 'regnet_y_16gf': 'https://download.pytorch.org/models/regnet_y_16gf-9e6ed7dd.pth', 'regnet_y_32gf': 'https://download.pytorch.org/models/regnet_y_32gf-4dee3f7a.pth', 'regnet_x_400mf': 'https://download.pytorch.org/models/regnet_x_400mf-adf1edd5.pth', 'regnet_x_800mf': 'https://download.pytorch.org/models/regnet_x_800mf-ad17e45c.pth', 'regnet_x_1_6gf': 'https://download.pytorch.org/models/regnet_x_1_6gf-e3633e7f.pth', 'regnet_x_3_2gf': 'https://download.pytorch.org/models/regnet_x_3_2gf-f342aeae.pth', 'regnet_x_8gf': 'https://download.pytorch.org/models/regnet_x_8gf-03ceed89.pth', 'regnet_x_16gf': 'https://download.pytorch.org/models/regnet_x_16gf-2007eb11.pth', 'regnet_x_32gf': 'https://download.pytorch.org/models/regnet_x_32gf-9d47f8d0.pth'}, 'resnet': {'resnet18': 'https://download.pytorch.org/models/resnet18-f37072fd.pth', 'resnet34': 'https://download.pytorch.org/models/resnet34-b627a593.pth', 'resnet50': 'https://download.pytorch.org/models/resnet50-0676ba61.pth', 'resnet101': 'https://download.pytorch.org/models/resnet101-63fe2227.pth', 'resnet152': 'https://download.pytorch.org/models/resnet152-394f9c45.pth', 'resnext50_32x4d': 'https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth', 'resnext101_32x8d': 'https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth', 'wide_resnet50_2': 'https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth', 'wide_resnet101_2': 'https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth'}, 'shufflenetv2': {'shufflenetv2_x0.5': 'https://download.pytorch.org/models/shufflenetv2_x0.5-f707e7126e.pth', 'shufflenetv2_x1.0': 'https://download.pytorch.org/models/shufflenetv2_x1-5666bf0f80.pth', 'shufflenetv2_x1.5': None, 'shufflenetv2_x2.0': None}, 'squeezenet': {'squeezenet1_0': 'https://download.pytorch.org/models/squeezenet1_0-b66bff10.pth', 'squeezenet1_1': 'https://download.pytorch.org/models/squeezenet1_1-b8a52dc0.pth'}, 'vgg': {'vgg11': 'https://download.pytorch.org/models/vgg11-8a719046.pth', 'vgg13': 'https://download.pytorch.org/models/vgg13-19584684.pth', 'vgg16': 'https://download.pytorch.org/models/vgg16-397923af.pth', 'vgg19': 'https://download.pytorch.org/models/vgg19-dcbb9e9d.pth', 'vgg11_bn': 'https://download.pytorch.org/models/vgg11_bn-6002323d.pth', 'vgg13_bn': 'https://download.pytorch.org/models/vgg13_bn-abd245e5.pth', 'vgg16_bn': 'https://download.pytorch.org/models/vgg16_bn-6c64b313.pth', 'vgg19_bn': 'https://download.pytorch.org/models/vgg19_bn-c79401a0.pth'}, 'vision_transformer': {'vit_b_16': 'https://download.pytorch.org/models/vit_b_16-c867db91.pth', 'vit_b_32': 'https://download.pytorch.org/models/vit_b_32-d86f8d99.pth', 'vit_l_16': 'https://download.pytorch.org/models/vit_l_16-852ce7e3.pth', 'vit_l_32': 'https://download.pytorch.org/models/vit_l_32-c7638314.pth'}}, 'detection': {'faster_rcnn': {'fasterrcnn_resnet50_fpn_coco': 'https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth', 'fasterrcnn_mobilenet_v3_large_320_fpn_coco': 'https://download.pytorch.org/models/fasterrcnn_mobilenet_v3_large_320_fpn-907ea3f9.pth', 'fasterrcnn_mobilenet_v3_large_fpn_coco': 'https://download.pytorch.org/models/fasterrcnn_mobilenet_v3_large_fpn-fb6a3cc7.pth'}, 'fcos': {'fcos_resnet50_fpn_coco': 'https://download.pytorch.org/models/fcos_resnet50_fpn_coco-99b0c9b7.pth'}, 'keypoint_rcnn': {'keypointrcnn_resnet50_fpn_coco_legacy': 'https://download.pytorch.org/models/keypointrcnn_resnet50_fpn_coco-9f466800.pth', 'keypointrcnn_resnet50_fpn_coco': 'https://download.pytorch.org/models/keypointrcnn_resnet50_fpn_coco-fc266e95.pth'}, 'mask_rcnn': {'maskrcnn_resnet50_fpn_coco': 'https://download.pytorch.org/models/maskrcnn_resnet50_fpn_coco-bf2d0c1e.pth'}, 'retinanet': {'retinanet_resnet50_fpn_coco': 'https://download.pytorch.org/models/retinanet_resnet50_fpn_coco-eeacb38b.pth'}, 'ssd': {'ssd300_vgg16_coco': 'https://download.pytorch.org/models/ssd300_vgg16_coco-b556d3b4.pth'}, 'ssdlite': {'ssdlite320_mobilenet_v3_large_coco': 'https://download.pytorch.org/models/ssdlite320_mobilenet_v3_large_coco-a79551df.pth'}}, 'optical_flow': {}, 'quantization': {'inception': {'inception_v3_google_fbgemm': 'https://download.pytorch.org/models/quantized/inception_v3_google_fbgemm-71447a44.pth'}, 'mobilenetv2': {'mobilenet_v2_qnnpack': 'https://download.pytorch.org/models/quantized/mobilenet_v2_qnnpack_37f702c5.pth'}, 'mobilenetv3': {'mobilenet_v3_large_qnnpack': 'https://download.pytorch.org/models/quantized/mobilenet_v3_large_qnnpack-5bcacf28.pth'}, 'resnet': {'resnet18_fbgemm': 'https://download.pytorch.org/models/quantized/resnet18_fbgemm_16fa66dd.pth', 'resnet50_fbgemm': 'https://download.pytorch.org/models/quantized/resnet50_fbgemm_bf931d71.pth', 'resnext101_32x8d_fbgemm': 'https://download.pytorch.org/models/quantized/resnext101_32x8_fbgemm_09835ccf.pth'}, 'shufflenetv2': {'shufflenetv2_x0.5_fbgemm': 'https://download.pytorch.org/models/quantized/shufflenetv2_x0.5_fbgemm-00845098.pth', 'shufflenetv2_x1.0_fbgemm': 'https://download.pytorch.org/models/quantized/shufflenetv2_x1_fbgemm-db332c57.pth'}}, 'segmentation': {'deeplabv3': {'deeplabv3_resnet50_coco': 'https://download.pytorch.org/models/deeplabv3_resnet50_coco-cd0a2569.pth', 'deeplabv3_resnet101_coco': 'https://download.pytorch.org/models/deeplabv3_resnet101_coco-586e9e4e.pth', 'deeplabv3_mobilenet_v3_large_coco': 'https://download.pytorch.org/models/deeplabv3_mobilenet_v3_large-fc3c493d.pth'}, 'fcn': {'fcn_resnet50_coco': 'https://download.pytorch.org/models/fcn_resnet50_coco-1167a1af.pth', 'fcn_resnet101_coco': 'https://download.pytorch.org/models/fcn_resnet101_coco-7ecb50ca.pth'}, 'lraspp': {'lraspp_mobilenet_v3_large_coco': 'https://download.pytorch.org/models/lraspp_mobilenet_v3_large-d234d4ea.pth'}}, 'video': {'resnet': {'r3d_18': 'https://download.pytorch.org/models/r3d_18-b3b3357e.pth', 'mc3_18': 'https://download.pytorch.org/models/mc3_18-a90a0ba3.pth', 'r2plus1d_18': 'https://download.pytorch.org/models/r2plus1d_18-91a641e6.pth'}}}


assert model_urls == model_urls_v012
print("All good")

[NicolasHug]

Thanks @datumbox , LGTM. Just some nits

[datumbox]

All failures are unrelated. Merging.