fbcode/mobile-vision

Summary:
Convert type comments in fbcode/mobile-vision

Produced by running:
```
python -m  libcst.tool codemod convert_type_comments.ConvertTypeComment fbcode/mobile-vision
```
from fbsource.

See
https://fb.workplace.com/groups/pythonfoundation/permalink/3106231549690303/

Reviewed By: grievejia

Differential Revision: D33897026

fbshipit-source-id: e7666555e47a9abc769975f6db6b2e6eda792d72

projects_oss/detr/detr/util/misc.py

@@ -297,8 +297,7 @@ def collate_fn(batch):
     return tuple(batch)
 
 
-def _max_by_axis(the_list):
-    # type: (List[List[int]]) -> List[int]
+def _max_by_axis(the_list: "List[List[int]]") -> "List[int]":
     maxes = the_list[0]
     for sublist in the_list[1:]:
         for index, item in enumerate(sublist):
@@ -311,8 +310,7 @@ class NestedTensor(object):
         self.tensors = tensors
         self.mask = mask
 
-    def to(self, device):
-        # type: (Device) -> NestedTensor # noqa
+    def to(self, device: torch.device) -> "NestedTensor":
         cast_tensor = self.tensors.to(device)
         mask = self.mask
         if mask is not None:
@@ -486,9 +484,12 @@ def accuracy(output, target, topk=(1,)):
 
 
 def interpolate(
-    input, size=None, scale_factor=None, mode="nearest", align_corners=None
-):
-    # type: (Tensor, Optional[List[int]], Optional[float], str, Optional[bool]) -> Tensor
+    input: "Tensor",
+    size: "Optional[List[int]]" = None,
+    scale_factor: "Optional[float]" = None,
+    mode: str = "nearest",
+    align_corners: "Optional[bool]" = None,
+) -> "Tensor":
     """
     Equivalent to nn.functional.interpolate, but with support for empty batch sizes.
     This will eventually be supported natively by PyTorch, and this