diff --git a/test/test_functional_tensor.py b/test/test_functional_tensor.py
index f05112ee498..e158ff4f805 100644
--- a/test/test_functional_tensor.py
+++ b/test/test_functional_tensor.py
@@ -1030,25 +1030,9 @@ def test_resized_crop(device, mode):
         (F_t.adjust_contrast, (1.0,)),
         (F_t.adjust_hue, (-0.5,)),
         (F_t.adjust_saturation, (2.0,)),
-        (
-            F_t.pad,
-            (
-                [
-                    2,
-                ],
-                2,
-                "constant",
-            ),
-        ),
+        (F_t.pad, ([2], 2, "constant")),
         (F_t.resize, ([10, 11],)),
-        (
-            F_t.perspective,
-            (
-                [
-                    0.2,
-                ]
-            ),
-        ),
+        (F_t.perspective, ([0.2])),
         (F_t.gaussian_blur, ((2, 2), (0.7, 0.5))),
         (F_t.invert, ()),
         (F_t.posterize, (0,)),
diff --git a/torchvision/transforms/functional_tensor.py b/torchvision/transforms/functional_tensor.py
index da7acef3e7b..cf75034ee6c 100644
--- a/torchvision/transforms/functional_tensor.py
+++ b/torchvision/transforms/functional_tensor.py
@@ -570,12 +570,7 @@ def _cast_squeeze_out(img: Tensor, need_cast: bool, need_squeeze: bool, out_dtyp
 
 def _apply_grid_transform(img: Tensor, grid: Tensor, mode: str, fill: Optional[List[float]]) -> Tensor:
 
-    img, need_cast, need_squeeze, out_dtype = _cast_squeeze_in(
-        img,
-        [
-            grid.dtype,
-        ],
-    )
+    img, need_cast, need_squeeze, out_dtype = _cast_squeeze_in(img, [grid.dtype])
 
     if img.shape[0] > 1:
         # Apply same grid to a batch of images