diff --git a/onnxscript/ir/_convenience.py b/onnxscript/ir/_convenience.py
index 52ed5fb88..d59bfe479 100644
--- a/onnxscript/ir/_convenience.py
+++ b/onnxscript/ir/_convenience.py
@@ -360,7 +360,7 @@ def tensor(
     elif str(type(value)) == "<class 'torch.Tensor'>":
         # NOTE: We use str(type(...)) and do not import torch for type checking
         # as it creates overhead during import
-        return tensor_adapters.TorchTensor(value, name=name, doc_string=doc_string)
+        return tensor_adapters.TorchTensor(value, name=name, doc_string=doc_string)  # type: ignore[arg-type]
     elif isinstance(value, (_protocols.DLPackCompatible, _protocols.ArrayCompatible)):
         return _core.Tensor(value, dtype=dtype, name=name, doc_string=name)
 
diff --git a/onnxscript/ir/_convenience_test.py b/onnxscript/ir/_convenience_test.py
index 37b08608f..c293a0097 100644
--- a/onnxscript/ir/_convenience_test.py
+++ b/onnxscript/ir/_convenience_test.py
@@ -11,7 +11,7 @@
 
 class ConvenienceTest(unittest.TestCase):
     def test_tensor_accepts_torch_tensor(self):
-        import torch as some_random_name
+        import torch as some_random_name  # pylint: disable=import-outside-toplevel
 
         torch_tensor = some_random_name.tensor([1, 2, 3])
         tensor = _convenience.tensor(torch_tensor)