[Tokenization] Fix #5181 - make #5155 more explicit - move back the default logging level in tests to WARNING (#5252)

* fix-5181

Padding to max sequence length while truncation to another length was wrong on slow tokenizers

* clean up and fix #5155

* fix XLM test

* Fix tests for Transfo-XL

* logging only above WARNING in tests

* switch slow tokenizers tests in @slow

* fix Marian truncation tokenization test

* style and quality

* make the test a lot faster by limiting the sequence length used in tests
This commit is contained in:
Thomas Wolf
2020-06-25 17:24:28 +02:00
committed by GitHub
parent e008d520bb
commit 27cf1d97f0
9 changed files with 134 additions and 75 deletions

View File

@@ -14,7 +14,6 @@
# limitations under the License.
import logging
import unittest
from transformers import (
@@ -36,7 +35,6 @@ from .utils import DUMMY_UNKWOWN_IDENTIFIER, SMALL_MODEL_IDENTIFIER, slow # noq
class AutoTokenizerTest(unittest.TestCase):
# @slow
def test_tokenizer_from_pretrained(self):
logging.basicConfig(level=logging.INFO)
for model_name in (x for x in BERT_PRETRAINED_CONFIG_ARCHIVE_MAP.keys() if "japanese" not in x):
tokenizer = AutoTokenizer.from_pretrained(model_name)
self.assertIsNotNone(tokenizer)
@@ -50,19 +48,16 @@ class AutoTokenizerTest(unittest.TestCase):
self.assertGreater(len(tokenizer), 0)
def test_tokenizer_from_pretrained_identifier(self):
logging.basicConfig(level=logging.INFO)
tokenizer = AutoTokenizer.from_pretrained(SMALL_MODEL_IDENTIFIER)
self.assertIsInstance(tokenizer, (BertTokenizer, BertTokenizerFast))
self.assertEqual(tokenizer.vocab_size, 12)
def test_tokenizer_from_model_type(self):
logging.basicConfig(level=logging.INFO)
tokenizer = AutoTokenizer.from_pretrained(DUMMY_UNKWOWN_IDENTIFIER)
self.assertIsInstance(tokenizer, (RobertaTokenizer, RobertaTokenizerFast))
self.assertEqual(tokenizer.vocab_size, 20)
def test_tokenizer_identifier_with_correct_config(self):
logging.basicConfig(level=logging.INFO)
for tokenizer_class in [BertTokenizer, BertTokenizerFast, AutoTokenizer]:
tokenizer = tokenizer_class.from_pretrained("wietsedv/bert-base-dutch-cased")
self.assertIsInstance(tokenizer, (BertTokenizer, BertTokenizerFast))
@@ -75,7 +70,6 @@ class AutoTokenizerTest(unittest.TestCase):
self.assertEqual(tokenizer.max_len, 512)
def test_tokenizer_identifier_non_existent(self):
logging.basicConfig(level=logging.INFO)
for tokenizer_class in [BertTokenizer, BertTokenizerFast, AutoTokenizer]:
with self.assertRaises(EnvironmentError):
_ = tokenizer_class.from_pretrained("julien-c/herlolip-not-exists")