diff --git a/torchvision/models/detection/retinanet.py b/torchvision/models/detection/retinanet.py
index b0168bbb593..5c2850e8834 100644
--- a/torchvision/models/detection/retinanet.py
+++ b/torchvision/models/detection/retinanet.py
@@ -201,7 +201,7 @@ def compute_loss(self, targets, head_outputs, anchors, matched_idxs):
             losses.append(torch.nn.functional.l1_loss(
                 bbox_regression_per_image,
                 target_regression,
-                size_average=False
+                reduction='sum'
             ) / max(1, num_foreground))
 
         return _sum(losses) / max(1, len(targets))
diff --git a/torchvision/transforms/_functional_video.py b/torchvision/transforms/_functional_video.py
index 37fcb359ad4..56eaa436188 100644
--- a/torchvision/transforms/_functional_video.py
+++ b/torchvision/transforms/_functional_video.py
@@ -23,7 +23,7 @@ def crop(clip, i, j, h, w):
 def resize(clip, target_size, interpolation_mode):
     assert len(target_size) == 2, "target size should be tuple (height, width)"
     return torch.nn.functional.interpolate(
-        clip, size=target_size, mode=interpolation_mode
+        clip, size=target_size, mode=interpolation_mode, align_corners=False
     )