Set seed of test_randomperspective_fill (#4759)

* setting 100 seeds, let's see if it fails

* Passed with 100, so setting 10

test/test_transforms.py

@@ -1852,8 +1852,10 @@ def test_randomperspective():
         )
 
 
+@pytest.mark.parametrize("seed", range(10))
 @pytest.mark.parametrize("mode", ["L", "RGB", "F"])
-def test_randomperspective_fill(mode):
+def test_randomperspective_fill(mode, seed):
+    torch.random.manual_seed(seed)
 
     # assert fill being either a Sequence or a Number
     with pytest.raises(TypeError):