add a test that updates without a return value

doing a flow tensor update on a global but returning none
only works if you re-assign to the global

tests/aot/globals_test.py

@@ -196,13 +196,33 @@ def testTensorUpdateGlobal(self):
         state_example = torch.randn(5, 20)
         update_example = torch.randn(1, 20)
 
-        class SingleState(CompiledModule):
+        class UpdateState(CompiledModule):
             state0 = export_global(state_example, mutable=True, initialize=False)
 
             def tensor_update_state(self, update=abstractify(update_example)):
                 return IREE.tensor_update(self.state0, update, 0, 0)
 
-        inst = SingleState(context=Context())
+        inst = UpdateState(context=Context())
+        module_str = str(CompiledModule.get_mlir_module(inst))
+        print(module_str)
+        self.assertIn(
+            "flow.tensor.update %arg0, %_state0.global[%c0, %c0] : tensor<1x20xf32> -> %_state0.global as tensor<5x20xf32>",
+            module_str,
+        )
+
+    def testTensorUpdateGlobalReturnNone(self):
+        state_example = torch.randn(5, 20, 4)
+        update_example = torch.randn(1, 1, 4)
+
+        class UpdateState(CompiledModule):
+            state0 = export_global(state_example, mutable=True, initialize=False)
+
+            def tensor_update_state(self, update=abstractify(update_example)):
+                thing = []
+                self.state0 = IREE.tensor_update(self.state0, update, 4, 0, 0)
+                return None
+
+        inst = UpdateState(context=Context())
         module_str = str(CompiledModule.get_mlir_module(inst))
         print(module_str)
         self.assertIn(