Fix the loss of const_arg attr when using ms_function

mindspore/python/mindspore/common/api.py

@@ -217,7 +217,8 @@ def _restore_mutable_attr(args_list, compile_args):
     """Restore the mutable attr for every arg."""
     new_compile_args = ()
     for idx, arg in enumerate(args_list):
-        if hasattr(arg, "__ms_mutable__") and getattr(arg, "__ms_mutable__"):
+        if hasattr(arg, "__ms_mutable__") and getattr(arg, "__ms_mutable__") and \
+                not (hasattr(arg, "const_arg") and getattr(arg, "const_arg")):
             new_compile_args += (mutable(compile_args[idx]),)
         else:
             new_compile_args += (compile_args[idx],)

tests/ut/python/ir/test_const_arg_tensor.py

@@ -212,7 +212,7 @@ def test_grad_constant_tensor():
 def test_grad_constant_tensor_mixed_call():
     """
     Feature: Set mutable tensor input to constant.
-    Description: Get gradient with respect to the constant tensor input.
+    Description: Get gradient with respect to the constant tensor input for mixed call of mutable and const_arg.
     Expectation: Get an empty gradient.
     """
 
@@ -243,6 +243,10 @@ def test_grad_constant_tensor_mixed_call():
     output = grad_net(x, y)
     assert isinstance(output, tuple)
     assert output == ()
+    grad_net = GradOperation()(Net())
+    output = grad_net(x, y)
+    assert isinstance(output, tuple)
+    assert output == ()
 
 
 def test_ms_function_grad_constant_tensor():