diff --git a/imperative/python/megengine/functional/tensor.py b/imperative/python/megengine/functional/tensor.py
index 8ba9596a67589e1aae4b7c3ab15d9e0daa1ec6f8..31053b7835cc0c25173df1a09557b8d425a5763c 100644
--- a/imperative/python/megengine/functional/tensor.py
+++ b/imperative/python/megengine/functional/tensor.py
@@ -189,7 +189,7 @@ def identity(inp: Tensor) -> Tensor:
     :return: output tensor.
     """
     op = builtin.Identity()
-    (data,) = utils.convert_inputs(inp)
+    (data,) = convert_inputs(inp)
     (output,) = apply(op, data)
     return output
 
diff --git a/imperative/python/test/unit/functional/test_tensor.py b/imperative/python/test/unit/functional/test_tensor.py
index b7a320b9f4d63a02300ed06daff8afd0325acb18..c17cf310fe45f4a29f10a8b5f833721b3a929b6c 100644
--- a/imperative/python/test/unit/functional/test_tensor.py
+++ b/imperative/python/test/unit/functional/test_tensor.py
@@ -367,6 +367,12 @@ def test_device():
     np.testing.assert_almost_equal(y5.numpy(), y6.numpy())
 
 
+def test_identity():
+    x = tensor(np.random.random((5, 10)).astype(np.float32))
+    y = F.identity(x)
+    np.testing.assert_equal(y.numpy(), x)
+
+
 def copy_test(dst, src):
     data = np.random.random((2, 3)).astype(np.float32)
     x = tensor(data, device=src)