resolve more review comments

Author: justincdavis

torchvision/transforms/v2/functional/_misc.py

@@ -364,8 +364,6 @@ def _to_dtype_tensor_dispatch(inpt: torch.Tensor, dtype: torch.dtype, scale: boo
         torch.int64: cvcuda.Type.S64,
         torch.float32: cvcuda.Type.F32,
         torch.float64: cvcuda.Type.F64,
-        torch.complex64: cvcuda.Type.C64,
-        torch.complex128: cvcuda.Type.C128,
     }
     # create reverse mapping
     _cvcuda_to_torch_dtypes = {v: k for k, v in _torch_to_cvcuda_dtypes.items()}
@@ -414,9 +412,7 @@ def _to_dtype_cvcuda(
     # 2. int -> int
     # 3. float -> int
     # 4. int -> float
-    if in_dtype_float and out_dtype_float:
-        scale_val, offset = 1.0, 0.0
-    elif not in_dtype_float and not out_dtype_float:
+    if in_dtype_float == out_dtype_float:
         scale_val, offset = 1.0, 0.0
     elif in_dtype_float and not out_dtype_float:
         scale_val, offset = float(_max_value(dtype)), 0.0
@@ -432,7 +428,7 @@ def _to_dtype_cvcuda(
 
 
 if CVCUDA_AVAILABLE:
-    _to_dtype_cvcuda_registered = _register_kernel_internal(to_dtype, _import_cvcuda().Tensor)(_to_dtype_cvcuda)
+    _register_kernel_internal(to_dtype, _import_cvcuda().Tensor)(_to_dtype_cvcuda)
 
 
 def sanitize_bounding_boxes(