diff --git a/test/test_utils.py b/test/test_utils.py
index f06835c932..9f93e445bc 100644
--- a/test/test_utils.py
+++ b/test/test_utils.py
@@ -144,6 +144,10 @@ def _test_default_impls_helper(self, lp_tensor, lp_tensor_for_copy):
         self.assertTrue(torch.equal(lp_tensor.qdata, reconstructed.qdata))
         self.assertEqual(lp_tensor.attr, reconstructed.attr)
 
+        # test _get_to_kwargs
+        _ = lp_tensor._get_to_kwargs(torch.strided, device="cuda")
+        _ = lp_tensor._get_to_kwargs(layout=torch.strided, device="cuda")
+
         # `to` / `_to_copy`
         original_device = lp_tensor.device
         lp_tensor = lp_tensor.to("cuda")
diff --git a/torchao/utils.py b/torchao/utils.py
index daf7eab83c..dac1e68e47 100644
--- a/torchao/utils.py
+++ b/torchao/utils.py
@@ -717,9 +717,7 @@ def _get_tensor_impl_constructor(
 
 def _get_to_kwargs(self, *args, **kwargs):
     # `torch._C._nn._parse_to` can't handle `layout` argument
-    for arg in args:
-        if isinstance(arg, torch.layout):
-            args.remove(arg)
+    args = tuple(arg for arg in args if not isinstance(arg, torch.layout))
     if "layout" in kwargs:
         kwargs.pop("layout")
     # ignoring `non_blocking` and `memory_format` args since these are not