Skip to content

GitLab

"examples/vscode:/vscode.git/clone" did not exist on "0c13ea4949a9fa709a59681f6906eeb2f8047e42"
Commit 830d212b authored by thomwolf's avatar thomwolf
Browse files

test circleCI h5py version

parent a31e591d
Show whitespace changes
Inline Side-by-side
Showing with 11 additions and 8 deletions
pytorch_transformers/tests/modeling_tf_auto_test.py
View file @ 830d212b
......@@ -39,46 +39,49 @@ else:
class TFAutoModelTest(unittest.TestCase):
def test_model_from_pretrained(self):
import h5py
self.assertTrue(h5py.version.hdf5_version.startswith("1.10"))
logging.basicConfig(level=logging.INFO)
for model_name in list(TF_BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
config = AutoConfig.from_pretrained(model_name)
config = AutoConfig.from_pretrained(model_name, force_download=True)
self.assertIsNotNone(config)
self.assertIsInstance(config, BertConfig)
model = TFAutoModel.from_pretrained(model_name)
model = TFAutoModel.from_pretrained(model_name, force_download=True)
self.assertIsNotNone(model)
self.assertIsInstance(model, TFBertModel)
def test_lmhead_model_from_pretrained(self):
logging.basicConfig(level=logging.INFO)
for model_name in list(TF_BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
config = AutoConfig.from_pretrained(model_name)
config = AutoConfig.from_pretrained(model_name, force_download=True)
self.assertIsNotNone(config)
self.assertIsInstance(config, BertConfig)
model = TFAutoModelWithLMHead.from_pretrained(model_name)
model = TFAutoModelWithLMHead.from_pretrained(model_name, force_download=True)
self.assertIsNotNone(model)
self.assertIsInstance(model, TFBertForMaskedLM)
def test_sequence_classification_model_from_pretrained(self):
logging.basicConfig(level=logging.INFO)
for model_name in list(TF_BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
config = AutoConfig.from_pretrained(model_name)
config = AutoConfig.from_pretrained(model_name, force_download=True)
self.assertIsNotNone(config)
self.assertIsInstance(config, BertConfig)
model = TFAutoModelForSequenceClassification.from_pretrained(model_name)
model = TFAutoModelForSequenceClassification.from_pretrained(model_name, force_download=True)
self.assertIsNotNone(model)
self.assertIsInstance(model, TFBertForSequenceClassification)
def test_question_answering_model_from_pretrained(self):
logging.basicConfig(level=logging.INFO)
for model_name in list(TF_BERT_PRETRAINED_MODEL_ARCHIVE_MAP.keys())[:1]:
config = AutoConfig.from_pretrained(model_name)
config = AutoConfig.from_pretrained(model_name, force_download=True)
self.assertIsNotNone(config)
self.assertIsInstance(config, BertConfig)
model = TFAutoModelForQuestionAnswering.from_pretrained(model_name)
model = TFAutoModelForQuestionAnswering.from_pretrained(model_name, force_download=True)
self.assertIsNotNone(model)
self.assertIsInstance(model, TFBertForQuestionAnswering)
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment