addressed review comments

torchvision/transforms/v2/_utils.py

@@ -18,21 +18,19 @@
 from torchvision.transforms.v2.functional._utils import _FillType, _FillTypeJIT
 
 
-def _setup_number_or_seq(
-    arg: Union[int, float, Sequence[Union[int, float]]], name: str, req_size: int = 2
-) -> Sequence[float]:
+def _setup_number_or_seq(arg: Union[int, float, Sequence[Union[int, float]]], name: str) -> Sequence[float]:
     if not isinstance(arg, (int, float, Sequence)):
         raise TypeError(f"{name} should be a number or a sequence of numbers. Got {type(arg)}")
     if isinstance(arg, Sequence) and len(arg) not in (1, req_size):
-        raise ValueError(f"If {name} is a sequence its length should be 1 or {req_size}. Got {len(arg)}")
+        raise ValueError(f"If {name} is a sequence its length should be 1 or 2. Got {len(arg)}")
     if isinstance(arg, Sequence):
         for element in arg:
             if not isinstance(element, (int, float)):
                 raise ValueError(f"{name} should be a sequence of numbers. Got {type(element)}")
 
     if isinstance(arg, (int, float)):
         arg = [float(arg), float(arg)]
-    if isinstance(arg, (list, tuple)):
+    if isinstance(arg, Sequence):
         if len(arg) == 1:
             arg = [float(arg[0]), float(arg[0])]
         else: