Relax mypy in prototype namespace

mypy.ini

@@ -7,7 +7,7 @@ allow_redefinition = True
 no_implicit_optional = True
 warn_redundant_casts = True
 
-[mypy-torchvision.prototype.features.*]
+[mypy-torchvision.prototype.datapoints.*]
 
 ; untyped definitions and calls
 disallow_untyped_defs = True
@@ -17,7 +17,6 @@ no_implicit_optional = True
 
 ; warnings
 warn_unused_ignores = True
-warn_return_any = True
 
 ; miscellaneous strictness flags
 allow_redefinition = True
@@ -46,8 +45,6 @@ no_implicit_optional = True
 
 ; warnings
 warn_unused_ignores = True
-warn_return_any = True
-warn_unreachable = True
 
 ; miscellaneous strictness flags
 allow_redefinition = True

torchvision/prototype/datapoints/_datapoint.py

@@ -98,7 +98,7 @@ def __torch_function__(
             # `args = (torch.Tensor(), datapoints.Image())` first. Without this guard, the original `torch.Tensor` would
             # be wrapped into a `datapoints.Image`.
             if wrapper and isinstance(args[0], cls):
-                return wrapper(cls, args[0], output)  # type: ignore[no-any-return]
+                return wrapper(cls, args[0], output)
 
             # Inplace `func`'s, canonically identified with a trailing underscore in their name like `.add_(...)`,
             # will retain the input type. Thus, we need to unwrap here.