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48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
# coding=utf-8
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# Copyright 2018 The Google AI Language Team Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import unittest
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import shutil
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import pytest
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import logging
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from pytorch_transformers import AutoConfig, BertConfig, AutoModel, BertModel
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from pytorch_transformers.modeling_bert import BERT_PRETRAINED_MODEL_ARCHIVE_MAP
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from .modeling_common_test import (CommonTestCases, ConfigTester, ids_tensor)
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class AutoModelTest(unittest.TestCase):
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def test_model_from_pretrained(self):
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logging.basicConfig(level=logging.INFO)
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for model_name in list(BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
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config = AutoConfig.from_pretrained(model_name)
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self.assertIsNotNone(config)
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self.assertIsInstance(config, BertConfig)
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model = AutoModel.from_pretrained(model_name)
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model, loading_info = AutoModel.from_pretrained(model_name, output_loading_info=True)
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self.assertIsNotNone(model)
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self.assertIsInstance(model, BertModel)
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for value in loading_info.values():
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self.assertEqual(len(value), 0)
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if __name__ == "__main__":
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unittest.main()
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