diff --git a/imperative/python/test/unit/functional/test_tensor.py b/imperative/python/test/unit/functional/test_tensor.py
index ff810493c6cc8fe20a236de5ccc887ab0d87170c..a4a81e3f9e986a9cb578d3d05fd3d495d1709fc5 100644
--- a/imperative/python/test/unit/functional/test_tensor.py
+++ b/imperative/python/test/unit/functional/test_tensor.py
@@ -1,6 +1,7 @@
 # -*- coding: utf-8 -*-
 import os
 import platform
+from typing import Tuple
 
 import numpy as np
 import pytest
@@ -8,6 +9,7 @@ from utils import get_var_value, make_tensor, opr_test
 
 import megengine.functional as F
 from megengine import Tensor
+from megengine.core._imperative_rt.core2 import create_complex
 from megengine.core._trace_option import use_symbolic_shape
 from megengine.core.tensor import megbrain_graph as G
 from megengine.core.tensor.utils import astensor1d
@@ -1076,3 +1078,23 @@ def test_roll_empty_tensor(shape, shifts, axis, is_symbolic):
         np.testing.assert_equal(out.numpy(), out_ref)
         if is_symbolic is None:
             break
+
+
+def test_polar():
+    def polar(abs, angle):
+        return F.polar(abs, angle)
+
+    def numpy_polar(abs, angle):
+        return abs * np.cos(angle) + abs * np.sin(angle) * 1j
+
+    cases = [{"input": [np.random.random((2, 3, 4)), np.random.random((2, 3, 4))]}]
+
+    # complex can not be trace output
+    opr_test(cases, polar, ref_fn=numpy_polar, test_trace=False)
+
+
+def test_create_complex():
+    real = Tensor(np.arange(0, 6).reshape((1, 2, 3)).astype("float32"))
+    imag = Tensor(np.arange(0, 6).reshape((1, 2, 3)).astype("float32"))
+    complex = create_complex(real, imag)
+    np.testing.assert_allclose(complex.numpy(), real.numpy() + imag.numpy() * 1j)