chore: import upstream snapshot with attribution

test/legacy_test/test_complex_sum_layer.py

@@ -0,0 +1,45 @@
+# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import numpy as np
+from numpy.random import random as rand
+from op_test import get_places
+
+import paddle
+import paddle.base.dygraph as dg
+from paddle import tensor
+
+
+class TestComplexSumLayer(unittest.TestCase):
+    def setUp(self):
+        self._dtypes = ["float32", "float64"]
+        self._places = get_places()
+
+    def test_complex_basic_api(self):
+        for dtype in self._dtypes:
+            input = rand([2, 10, 10]).astype(dtype) + 1j * rand(
+                [2, 10, 10]
+            ).astype(dtype)
+            for place in self._places:
+                with dg.guard(place):
+                    var_x = paddle.to_tensor(input)
+                    result = tensor.sum(var_x, axis=[1, 2]).numpy()
+                    target = np.sum(input, axis=(1, 2))
+                    np.testing.assert_allclose(result, target, rtol=1e-05)
+
+
+if __name__ == '__main__':
+    unittest.main()