chore: import upstream snapshot with attribution

test/sequence/test_sequence_first_step.py

@@ -0,0 +1,50 @@
+# Copyright (c) 2018 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 sys
+import unittest
+
+import numpy as np
+
+import paddle
+from paddle.base.framework import Program, program_guard
+
+sys.path.append("../")
+
+
+class TestSequenceFirstStepOpError(unittest.TestCase):
+    def test_errors(self):
+        with program_guard(Program(), Program()):
+
+            def test_Variable():
+                # the input must be Variable
+                input_data = np.random.randint(1, 5, [4]).astype("int64")
+                paddle.static.nn.sequence_lod.sequence_last_step(input_data)
+
+            self.assertRaises(TypeError, test_Variable)
+
+            def test_input_dtype():
+                # the dtype of input must be int64
+                type_data = paddle.static.data(
+                    name='type_data',
+                    shape=[7, 1],
+                    dtype='int64',
+                    lod_level=1,
+                )
+                paddle.static.nn.sequence_lod.sequence_last_step(type_data)
+
+            self.assertRaises(TypeError, test_input_dtype)
+
+
+if __name__ == '__main__':
+    unittest.main()