[fbsync] Add new weights for ResNet101 and ResNet151. (#4811)

Reviewed By: datumbox

Differential Revision: D32064684

fbshipit-source-id: f42aec92bb919a7264023406b85df48656c673d5

Author: fmassa

torchvision/prototype/models/resnet.py

@@ -114,6 +114,16 @@ class ResNet101Weights(Weights):
             "acc@5": 93.546,
         },
     )
+    ImageNet1K_RefV2 = WeightEntry(
+        url="https://download.pytorch.org/models/resnet101-b641f3a9.pth",
+        transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
+        meta={
+            **_common_meta,
+            "recipe": "https://github.com/pytorch/vision/issues/3995",
+            "acc@1": 81.728,
+            "acc@5": 95.670,
+        },
+    )
 
 
 class ResNet152Weights(Weights):
@@ -127,6 +137,16 @@ class ResNet152Weights(Weights):
             "acc@5": 94.046,
         },
     )
+    ImageNet1K_RefV2 = WeightEntry(
+        url="https://download.pytorch.org/models/resnet152-089c0848.pth",
+        transforms=partial(ImageNetEval, crop_size=224, resize_size=232),
+        meta={
+            **_common_meta,
+            "recipe": "https://github.com/pytorch/vision/issues/3995",
+            "acc@1": 82.042,
+            "acc@5": 95.926,
+        },
+    )
 
 
 class ResNeXt50_32x4dWeights(Weights):