chore: import upstream snapshot with attribution

test/legacy_test/test_sequential.py

@@ -0,0 +1,75 @@
+#   Copyright (c) 2021 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
+from collections import OrderedDict
+
+import paddle
+
+
+class TestDataFeeder(unittest.TestCase):
+    def test_lod_level_1_converter(self):
+        sequential = paddle.nn.Sequential()
+
+        for i in range(10):
+            sequential.add_sublayer(str(i), paddle.nn.Linear(i + 1, i + 1))
+
+        for item in sequential:
+            tmp = item
+
+        tmp = sequential[3:5]
+        self.assertEqual(len(tmp), 2)
+
+        tmp = sequential[-1]
+        self.assertEqual(tmp, sequential[9])
+
+        with self.assertRaises(IndexError):
+            tmp = sequential[10]
+
+        with self.assertRaises(IndexError):
+            tmp = sequential[-11]
+
+    def test_ordereddict_init(self):
+        od = OrderedDict(
+            [
+                ('layer1', paddle.nn.Linear(4, 8)),
+                ('layer2', paddle.nn.Linear(8, 16)),
+                ('layer3', paddle.nn.Linear(16, 32)),
+            ]
+        )
+        sequential = paddle.nn.Sequential(od)
+
+        # Check if layer names are preserved in order
+        self.assertEqual(
+            list(sequential._sub_layers.keys()), ['layer1', 'layer2', 'layer3']
+        )
+
+        # Check if layers can be accessed by name
+        self.assertIsInstance(sequential['layer1'], paddle.nn.Linear)
+        self.assertIsInstance(sequential['layer2'], paddle.nn.Linear)
+
+        # Check the order and length of layers
+        self.assertEqual(len(sequential), 3)
+        layers = list(sequential)
+        self.assertIsInstance(layers[0], paddle.nn.Linear)
+        self.assertIsInstance(layers[1], paddle.nn.Linear)
+        self.assertIsInstance(layers[2], paddle.nn.Linear)
+
+        # Check forward propagation
+        x = paddle.randn([2, 4])
+        y = sequential(x)
+        self.assertEqual(list(y.shape), [2, 32])
+
+
+if __name__ == '__main__':
+    unittest.main()