chore: import upstream snapshot with attribution

test/legacy_test/test_egr_string_tensor_api.py

@@ -0,0 +1,100 @@
+# Copyright (c) 2022 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 paddle.base import core
+
+
+class EagerStringTensorTestCase(unittest.TestCase):
+    def setUp(self):
+        self.str_arr = np.array(
+            [
+                [
+                    "15.4寸笔记本的键盘确实爽，基本跟台式机差不多了，蛮喜欢数字小键盘，输数字特方便，样子也很美观，做工也相当不错"
+                ],  # From ChnSentiCorp
+                ["One of the very best Three Stooges shorts ever."],
+            ]
+        )  # From IMDB
+
+    def test_constructor_with_args(self):
+        ST1 = core.eager.StringTensor()  # constructor 1
+        self.assertEqual(ST1.name, "generated_string_tensor_0")
+        self.assertEqual(ST1.shape, [])
+        self.assertEqual(ST1.numpy(), '')
+
+        shape = [2, 3]
+        ST2 = core.eager.StringTensor(shape, "ST2")  # constructor 2
+        self.assertEqual(ST2.name, "ST2")
+        self.assertEqual(ST2.shape, shape)
+        np.testing.assert_array_equal(
+            ST2.numpy(), np.empty(shape, dtype=np.str_)
+        )
+
+        ST3 = core.eager.StringTensor(self.str_arr, "ST3")  # constructor 3
+        self.assertEqual(ST3.name, "ST3")
+        self.assertEqual(ST3.shape, list(self.str_arr.shape))
+        np.testing.assert_array_equal(ST3.numpy(), self.str_arr)
+
+        ST4 = core.eager.StringTensor(self.str_arr)  # constructor 4
+        self.assertEqual(ST4.name, "generated_string_tensor_1")
+        self.assertEqual(ST4.shape, list(self.str_arr.shape))
+        np.testing.assert_array_equal(ST4.numpy(), self.str_arr)
+
+        ST5 = core.eager.StringTensor(ST4)  # constructor 5
+        self.assertEqual(ST5.name, "generated_string_tensor_2")
+        self.assertEqual(ST5.shape, list(self.str_arr.shape))
+        np.testing.assert_array_equal(ST5.numpy(), self.str_arr)
+
+        ST6 = core.eager.StringTensor(ST5, "ST6")  # constructor 6
+        self.assertEqual(ST6.name, "ST6")
+        self.assertEqual(ST6.shape, list(self.str_arr.shape))
+        np.testing.assert_array_equal(ST6.numpy(), self.str_arr)
+
+        for st in [ST1, ST2, ST3, ST4, ST5, ST6]:
+            # All StringTensors are on cpu place so far.
+            self.assertTrue(st.place._equals(core.CPUPlace()))
+
+    def test_constructor_with_kwargs(self):
+        shape = [2, 3]
+        ST1 = core.eager.StringTensor(dims=shape, name="ST1")  # constructor 2
+        self.assertEqual(ST1.name, "ST1")
+        self.assertEqual(ST1.shape, shape)
+        np.testing.assert_array_equal(
+            ST1.numpy(), np.empty(shape, dtype=np.str_)
+        )
+
+        ST2 = core.eager.StringTensor(self.str_arr, name="ST2")  # constructor 3
+        self.assertEqual(ST2.name, "ST2")
+        self.assertEqual(ST2.shape, list(self.str_arr.shape))
+        np.testing.assert_array_equal(ST2.numpy(), self.str_arr)
+
+        ST3 = core.eager.StringTensor(ST2, name="ST3")  # constructor 6
+        self.assertEqual(ST3.name, "ST3")
+        self.assertEqual(ST3.shape, list(self.str_arr.shape))
+        np.testing.assert_array_equal(ST3.numpy(), self.str_arr)
+
+        ST4 = core.eager.StringTensor(value=ST2, name="ST4")  # constructor 6
+        self.assertEqual(ST4.name, "ST4")
+        self.assertEqual(ST4.shape, list(self.str_arr.shape))
+        np.testing.assert_array_equal(ST4.numpy(), self.str_arr)
+        for st in [ST1, ST2, ST3, ST4]:
+            # All StringTensors are on cpu place so far.
+            self.assertTrue(st.place._equals(core.CPUPlace()))
+
+
+if __name__ == "__main__":
+    unittest.main()