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Merge pull request #2014 from aaugustin/mark-tf-auto-model-test-as-slow
Mark tests in TFAutoModelTest as slow.
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commit
d100ad99c0
@ -38,6 +38,7 @@ else:
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class TFAutoModelTest(unittest.TestCase):
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@pytest.mark.slow
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def test_model_from_pretrained(self):
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import h5py
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self.assertTrue(h5py.version.hdf5_version.startswith("1.10"))
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@ -53,6 +54,7 @@ class TFAutoModelTest(unittest.TestCase):
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self.assertIsNotNone(model)
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self.assertIsInstance(model, TFBertModel)
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@pytest.mark.slow
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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(TF_BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
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@ -65,6 +67,7 @@ class TFAutoModelTest(unittest.TestCase):
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self.assertIsNotNone(model)
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self.assertIsInstance(model, TFBertForMaskedLM)
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@pytest.mark.slow
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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(TF_BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
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@ -77,6 +80,7 @@ class TFAutoModelTest(unittest.TestCase):
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self.assertIsNotNone(model)
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self.assertIsInstance(model, TFBertForSequenceClassification)
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@pytest.mark.slow
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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(TF_BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
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