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Unverified Commit 83f45cd6 authored by Lysandre Debut's avatar Lysandre Debut Committed by GitHub
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Fix auto (#15706)

parent d5083c33
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Showing with 15 additions and 25 deletions
tests/test_modeling_tf_auto.py
View file @ 83f45cd6
...@@ -85,35 +85,25 @@ if is_tf_available(): ...@@ -85,35 +85,25 @@ if is_tf_available():
class TFAutoModelTest(unittest.TestCase): class TFAutoModelTest(unittest.TestCase):
@slow @slow
def test_model_from_pretrained(self): def test_model_from_pretrained(self):
import h5py model_name = "bert-base-cased"
config = AutoConfig.from_pretrained(model_name)
self.assertIsNotNone(config)
self.assertIsInstance(config, BertConfig)
self.assertTrue(h5py.version.hdf5_version.startswith("1.10")) model = TFAutoModel.from_pretrained(model_name)
self.assertIsNotNone(model)
# for model_name in TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]: self.assertIsInstance(model, TFBertModel)
for model_name in ["bert-base-uncased"]:
config = AutoConfig.from_pretrained(model_name)
self.assertIsNotNone(config)
self.assertIsInstance(config, BertConfig)
model = TFAutoModel.from_pretrained(model_name)
self.assertIsNotNone(model)
self.assertIsInstance(model, TFBertModel)
@slow @slow
def test_model_for_pretraining_from_pretrained(self): def test_model_for_pretraining_from_pretrained(self):
import h5py model_name = "bert-base-cased"
config = AutoConfig.from_pretrained(model_name)
self.assertTrue(h5py.version.hdf5_version.startswith("1.10")) self.assertIsNotNone(config)
self.assertIsInstance(config, BertConfig)
# for model_name in TF_BERT_PRETRAINED_MODEL_ARCHIVE_LIST[:1]:
for model_name in ["bert-base-uncased"]: model = TFAutoModelForPreTraining.from_pretrained(model_name)
config = AutoConfig.from_pretrained(model_name) self.assertIsNotNone(model)
self.assertIsNotNone(config) self.assertIsInstance(model, TFBertForPreTraining)
self.assertIsInstance(config, BertConfig)
model = TFAutoModelForPreTraining.from_pretrained(model_name)
self.assertIsNotNone(model)
self.assertIsInstance(model, TFBertForPreTraining)
@slow @slow
def test_model_for_causal_lm(self): def test_model_for_causal_lm(self):
......
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