Tests for added AutoModels
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@@ -21,7 +21,11 @@ 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 import (AutoConfig, BertConfig,
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AutoModel, BertModel,
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AutoModelWithLMHead, BertForMaskedLM,
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AutoModelForSequenceClassification, BertForSequenceClassification,
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AutoModelForQuestionAnswering, BertForQuestionAnswering)
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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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@@ -42,6 +46,42 @@ class AutoModelTest(unittest.TestCase):
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for value in loading_info.values():
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self.assertEqual(len(value), 0)
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def test_lmhead_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 = AutoModelWithLMHead.from_pretrained(model_name)
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model, loading_info = AutoModelWithLMHead.from_pretrained(model_name, output_loading_info=True)
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self.assertIsNotNone(model)
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self.assertIsInstance(model, BertForMaskedLM)
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def test_sequence_classification_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 = AutoModelForSequenceClassification.from_pretrained(model_name)
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model, loading_info = AutoModelForSequenceClassification.from_pretrained(model_name, output_loading_info=True)
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self.assertIsNotNone(model)
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self.assertIsInstance(model, BertForSequenceClassification)
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def test_question_answering_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 = AutoModelForQuestionAnswering.from_pretrained(model_name)
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model, loading_info = AutoModelForQuestionAnswering.from_pretrained(model_name, output_loading_info=True)
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self.assertIsNotNone(model)
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self.assertIsInstance(model, BertForQuestionAnswering)
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if __name__ == "__main__":
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unittest.main()
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