chore: import upstream snapshot with attribution

test/legacy_test/test_tensor_zero_.py

@@ -0,0 +1,48 @@
+# Copyright (c) 2019 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 op_test import get_places, is_custom_device
+
+import paddle
+from paddle import base
+
+
+class TensorFill_Test(unittest.TestCase):
+    def setUp(self):
+        self.shape = [32, 32]
+
+    def test_tensor_fill_true(self):
+        typelist = ['float32', 'float64', 'int32', 'int64', 'float16']
+        places = get_places()
+        if base.core.is_compiled_with_cuda() or is_custom_device():
+            places.append(base.CUDAPinnedPlace())
+
+        for p in places:
+            np_arr = np.reshape(
+                np.array(range(np.prod(self.shape))), self.shape
+            )
+            for dtype in typelist:
+                tensor = paddle.to_tensor(np_arr, place=p, dtype=dtype)
+                target = tensor.numpy()
+                target[...] = 0
+
+                tensor.zero_()
+                self.assertEqual((tensor.numpy() == target).all().item(), True)
+
+
+if __name__ == '__main__':
+    unittest.main()