[BIG] pytorch-transformers => transformers

transformers/tests/tokenization_auto_test.py

@@ -0,0 +1,45 @@
+# coding=utf-8
+# Copyright 2018 The Google AI Language Team Authors.
+#
+# 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.
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import unittest
+import shutil
+import pytest
+import logging
+
+from transformers import AutoTokenizer, BertTokenizer, AutoTokenizer, GPT2Tokenizer
+from transformers import BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP
+
+
+class AutoTokenizerTest(unittest.TestCase):
+    def test_tokenizer_from_pretrained(self):
+        logging.basicConfig(level=logging.INFO)
+        for model_name in list(BERT_PRETRAINED_CONFIG_ARCHIVE_MAP.keys())[:1]:
+            tokenizer = AutoTokenizer.from_pretrained(model_name)
+            self.assertIsNotNone(tokenizer)
+            self.assertIsInstance(tokenizer, BertTokenizer)
+            self.assertGreater(len(tokenizer), 0)
+
+        for model_name in list(GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP.keys())[:1]:
+            tokenizer = AutoTokenizer.from_pretrained(model_name)
+            self.assertIsNotNone(tokenizer)
+            self.assertIsInstance(tokenizer, GPT2Tokenizer)
+            self.assertGreater(len(tokenizer), 0)
+
+
+if __name__ == "__main__":
+    unittest.main()