diff --git a/monai/networks/utils.py b/monai/networks/utils.py
index ef0cff0eed..0cff97cf27 100644
--- a/monai/networks/utils.py
+++ b/monai/networks/utils.py
@@ -458,11 +458,13 @@ def convert_to_torchscript(
         device: target device to verify the model, if None, use CUDA if available.
         rtol: the relative tolerance when comparing the outputs of PyTorch model and TorchScript model.
         atol: the absolute tolerance when comparing the outputs of PyTorch model and TorchScript model.
+        kwargs: other arguments except `obj` for `torch.jit.script()` to convert model, for more details:
+            https://pytorch.org/docs/master/generated/torch.jit.script.html.
 
     """
     model.eval()
     with torch.no_grad():
-        script_module = torch.jit.script(model)
+        script_module = torch.jit.script(model, **kwargs)
         if filename_or_obj is not None:
             if not pytorch_after(1, 7):
                 torch.jit.save(m=script_module, f=filename_or_obj)
diff --git a/tests/test_convert_to_torchscript.py b/tests/test_convert_to_torchscript.py
index a772610a04..60e78cc0d4 100644
--- a/tests/test_convert_to_torchscript.py
+++ b/tests/test_convert_to_torchscript.py
@@ -34,6 +34,7 @@ def test_value(self):
                 device="cuda" if torch.cuda.is_available() else "cpu",
                 rtol=1e-3,
                 atol=1e-4,
+                optimize=None,
             )
             self.assertTrue(isinstance(torchscript_model, torch.nn.Module))