transform complex scale to tensor (#33699)

* transform complex scale to tensor

* add test_case for complex scalar

* modify import paddle

python/paddle/fluid/dygraph/math_op_patch.py

@@ -202,12 +202,17 @@ def monkey_patch_math_varbase():
             # 2. create varbase for scalar
             lhs_dtype = self.dtype
             if not isinstance(other_var, core.VarBase):
-                if reverse:
-                    other_var = create_tensor(
-                        other_var, dtype=lhs_dtype, shape=self.shape)
+                if isinstance(other_var, complex):
+                    import paddle
+                    other_var = paddle.to_tensor(other_var, dtype='complex64')
                 else:
-                    # add fill_op 
-                    other_var = create_scalar(value=other_var, dtype=lhs_dtype)
+                    if reverse:
+                        other_var = create_tensor(
+                            other_var, dtype=lhs_dtype, shape=self.shape)
+                    else:
+                        # add fill_op
+                        other_var = create_scalar(
+                            value=other_var, dtype=lhs_dtype)
 
             # 3. promote types or unify right var type to left var
             rhs_dtype = other_var.dtype

python/paddle/fluid/tests/unittests/test_math_op_patch_var_base.py

@@ -575,6 +575,13 @@ class TestMathOpPatchesVarBase(unittest.TestCase):
         self.assertTrue(inspect.ismethod(a.std))
         self.assertTrue(inspect.ismethod(a.numel))
 
+    def test_complex_scalar(self):
+        a_np = np.random.random(self.shape).astype(self.dtype)
+        with fluid.dygraph.guard():
+            a = fluid.dygraph.to_variable(a_np)
+            res = 1J * a
+            self.assertTrue(np.array_equal(res.numpy(), 1J * a_np))
+
 
 if __name__ == '__main__':
     unittest.main()