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Enable option for subword regularization in more tokenizers. (#11417)

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* improve slow class tok usage at xlm rob

* add subword regularization for barthez

* improve barthez tok. test

* fix tokenizer tests

* add subword regularization for camembert

* add subword regularization for deberta v2 tokenizer

* add more doc to deberta v2 tokenizer

* add subword regularization for speech to text tok.

* fix sp_model_kwargs type in speech 2 text tok.

* add subword regularization for M2M100 tok.

* add more concrete type hints

* fix tests for m2m100 and s2t tok.

* add missing Any import

* fix syntax error in m2m100 tok.

* fix unpickle of m2m100 and s2t tok.

* fix test of m2m100 and s2t tok.

* improve unpickle of deberta v2 tok.

* add test for pickle of barthez & camembert

* fix pickle of barthez & camembert

* add test for deberta v2 tok. pickle

* fix m2m100 tok. pickle

* fix s2t tok. pickle

* add subword regularization to albert tok.

* refactor subword reg. test into TokenizerTesterMixin

improve albert tok. test

remove sample argument form albert tok.

check subword reg. using TokenizerTesterMixin

improve tok. tests

improve xlm roberta tok. tests

improve xlm roberta tok. tests

* add subword regularization for big bird t.

* improve xlm roberta tok. test

* add subword regularization for mbart50 tok.

* add subword regularization for pegasus tok.

* add subword regularization for reformer tok.

* add subword regularization for T5 tok.

* fix t5 tok. test formatting

* add subword regularization for xlm_proph. tok.

* add subword regularization for xlnet tok.

* add subword regularization for gert_gen tok.

* add typing to tokenizers

* add typing to xlm rob. tok

* add subword regularization for marian tok.

* add reverse tok. test

* fix marian tok test

* fix marian tok test

* fix casing in tok. tests

* fix style of tok. common test

* fix deberta v2 tok test

* add type annotations to tok. tests

* add type annotations to tok. __init__

* add typing to kokenizer

* add type annotations to tok. __init__

* don't specify the default when it's None

* fix barthez tok. doc

* move sentencepiece tok. tests to TokenizerTesterMixin

* fix unused imports

* fix albert tok. test

* add comment to sentencepiece test options

* fix Any import at big bird tok.

* fix Any import at xlm prophetnet tok.

* empty commit to trigger CI
This commit is contained in:
Philip May
2021-05-13 08:44:55 +02:00
committed by GitHub
parent fa84540e98
commit 37ed3ab719
33 changed files with 578 additions and 181 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
tests/test_tokenization_albert.py
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@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
@@ -33,6 +32,8 @@ class AlbertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = AlbertTokenizer
rust_tokenizer_class = AlbertTokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
test_sentencepiece_ignore_case = True
def setUp(self):
super().setUp()

4
tests/test_tokenization_barthez.py
View File

@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
from transformers import BarthezTokenizer, BarthezTokenizerFast, BatchEncoding
@@ -24,12 +23,13 @@ from .test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
@require_sentencepiece
@slow
@slow # see https://github.com/huggingface/transformers/issues/11457
class BarthezTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = BarthezTokenizer
rust_tokenizer_class = BarthezTokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()

2
tests/test_tokenization_bert_generation.py
View File

@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
@@ -33,6 +32,7 @@ SAMPLE_VOCAB = os.path.join(os.path.dirname(os.path.abspath(__file__)), "fixture
class BertGenerationTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = BertGenerationTokenizer
test_sentencepiece = True
def setUp(self):
super().setUp()

4
tests/test_tokenization_big_bird.py
View File

@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
@@ -36,11 +35,12 @@ class BigBirdTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = BigBirdTokenizer
rust_tokenizer_class = BigBirdTokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()
tokenizer = BigBirdTokenizer(SAMPLE_VOCAB, keep_accents=True)
tokenizer = self.tokenizer_class(SAMPLE_VOCAB, keep_accents=True)
tokenizer.save_pretrained(self.tmpdirname)
def test_rust_and_python_full_tokenizers(self):

2
tests/test_tokenization_camembert.py
View File

@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
@@ -37,6 +36,7 @@ class CamembertTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = CamembertTokenizer
rust_tokenizer_class = CamembertTokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()

80
tests/test_tokenization_common.py
View File

@@ -15,6 +15,7 @@
import inspect
import itertools
import os
import pickle
import re
@@ -100,6 +101,13 @@ class TokenizerTesterMixin:
from_pretrained_vocab_key = "vocab_file"
test_seq2seq = True
# set to True to test a sentencepiece tokenizer
test_sentencepiece = False
# set to True to ignore casing when testing a sentencepiece tokenizer
# test_sentencepiece must also be set to True
test_sentencepiece_ignore_case = False
def setUp(self) -> None:
# Tokenizer.filter makes it possible to filter which Tokenizer to case based on all the
# information available in Tokenizer (name, rust class, python class, vocab key name)
@@ -216,6 +224,38 @@ class TokenizerTesterMixin:
for i in range(len(batch_encode_plus_sequences["input_ids"]))
]
def test_subword_regularization_tokenizer(self) -> None:
if not self.test_sentencepiece:
return
# Subword regularization is only available for the slow tokenizer.
sp_model_kwargs = {"enable_sampling": True, "alpha": 0.1, "nbest_size": -1}
tokenizer = self.get_tokenizer(sp_model_kwargs=sp_model_kwargs)
self.assertTrue(hasattr(tokenizer, "sp_model_kwargs"))
self.assertIsNotNone(tokenizer.sp_model_kwargs)
self.assertTrue(isinstance(tokenizer.sp_model_kwargs, dict))
self.assertEqual(tokenizer.sp_model_kwargs, sp_model_kwargs)
self.check_subword_sampling(tokenizer)
def test_pickle_subword_regularization_tokenizer(self) -> None:
if not self.test_sentencepiece:
return
"""Google pickle __getstate__ __setstate__ if you are struggling with this."""
# Subword regularization is only available for the slow tokenizer.
sp_model_kwargs = {"enable_sampling": True, "alpha": 0.1, "nbest_size": -1}
tokenizer = self.get_tokenizer(sp_model_kwargs=sp_model_kwargs)
tokenizer_bin = pickle.dumps(tokenizer)
del tokenizer
tokenizer_new = pickle.loads(tokenizer_bin)
self.assertTrue(hasattr(tokenizer_new, "sp_model_kwargs"))
self.assertIsNotNone(tokenizer_new.sp_model_kwargs)
self.assertTrue(isinstance(tokenizer_new.sp_model_kwargs, dict))
self.assertEqual(tokenizer_new.sp_model_kwargs, sp_model_kwargs)
self.check_subword_sampling(tokenizer_new)
def test_model_input_names_signature(self):
accepted_model_main_input_names = [
"input_ids", # nlp models
@@ -1727,6 +1767,46 @@ class TokenizerTesterMixin:
# add pad_token_id to pass subsequent tests
tokenizer.add_special_tokens({"pad_token": "<PAD>"})
def check_subword_sampling(
self,
tokenizer: PreTrainedTokenizer,
text: str = None,
) -> None:
"""
Check if the tokenizer generates different results when subword regularization is enabled.
Subword regularization augments training data with subword sampling.
This has a random component.
Args:
tokenizer: The tokenizer to check.
text: The text to use for the checks.
"""
text = "This is a test for subword regularization." if text is None else text
if self.test_sentencepiece_ignore_case:
text = text.lower()
tokens_list = []
for _ in range(5):
tokens_list.append(tokenizer.tokenize(text))
# the list of different pairs of tokens_list
combinations = itertools.combinations(tokens_list, 2)
# check of sampling is done
subword_sampling_found = False
for combination in combinations:
if combination[0] != combination[1]:
subword_sampling_found = True
self.assertTrue(subword_sampling_found)
# check if converting back to original text works
for tokens in tokens_list:
if self.test_sentencepiece_ignore_case:
self.assertEqual(text, tokenizer.convert_tokens_to_string(tokens).lower())
else:
self.assertEqual(text, tokenizer.convert_tokens_to_string(tokens))
@require_torch
@slow
def test_torch_encode_plus_sent_to_model(self):

3
tests/test_tokenization_deberta_v2.py
View File

@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
@@ -33,6 +32,8 @@ class DebertaV2TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = DebertaV2Tokenizer
rust_tokenizer_class = None
test_rust_tokenizer = False
test_sentencepiece = True
test_sentencepiece_ignore_case = True
def setUp(self):
super().setUp()

1
tests/test_tokenization_m2m_100.py
View File

@@ -45,6 +45,7 @@ class M2M100TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = M2M100Tokenizer
test_rust_tokenizer = False
test_seq2seq = False
test_sentencepiece = True
def setUp(self):
super().setUp()

2
tests/test_tokenization_marian.py
View File

@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import tempfile
import unittest
@@ -50,6 +49,7 @@ class MarianTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = MarianTokenizer
test_rust_tokenizer = False
test_sentencepiece = True
def setUp(self):
super().setUp()

1
tests/test_tokenization_mbart50.py
View File

@@ -38,6 +38,7 @@ class MBartTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = MBart50Tokenizer
rust_tokenizer_class = MBart50TokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()

2
tests/test_tokenization_pegasus.py
View File

@@ -31,6 +31,7 @@ class PegasusTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = PegasusTokenizer
rust_tokenizer_class = PegasusTokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()
@@ -104,6 +105,7 @@ class BigBirdPegasusTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = PegasusTokenizer
rust_tokenizer_class = PegasusTokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()

2
tests/test_tokenization_reformer.py
View File

@@ -12,7 +12,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
@@ -34,6 +33,7 @@ class ReformerTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
rust_tokenizer_class = ReformerTokenizerFast
test_rust_tokenizer = True
test_seq2seq = False
test_sentencepiece = True
def setUp(self):
super().setUp()

1
tests/test_tokenization_speech_to_text.py
View File

@@ -40,6 +40,7 @@ ES_CODE = 10
class SpeechToTextTokenizerTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = Speech2TextTokenizer
test_rust_tokenizer = False
test_sentencepiece = True
def setUp(self):
super().setUp()

2
tests/test_tokenization_t5.py
View File

@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import unittest
from transformers import SPIECE_UNDERLINE, AddedToken, BatchEncoding, T5Tokenizer, T5TokenizerFast
@@ -40,6 +39,7 @@ class T5TokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = T5Tokenizer
rust_tokenizer_class = T5TokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()

2
tests/test_tokenization_xlm_prophetnet.py
View File

@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
@@ -32,6 +31,7 @@ class XLMProphetNetTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = XLMProphetNetTokenizer
test_rust_tokenizer = False
test_sentencepiece = True
def setUp(self):
super().setUp()

39
tests/test_tokenization_xlm_roberta.py
View File

@@ -13,10 +13,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import itertools
import os
import pickle
import unittest
from transformers import SPIECE_UNDERLINE, XLMRobertaTokenizer, XLMRobertaTokenizerFast
@@ -36,6 +33,7 @@ class XLMRobertaTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = XLMRobertaTokenizer
rust_tokenizer_class = XLMRobertaTokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()
@@ -120,41 +118,6 @@ class XLMRobertaTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
],
)
def test_subword_regularization_tokenizer(self):
# Subword regularization is only available for the slow tokenizer.
tokenizer = XLMRobertaTokenizer(
SAMPLE_VOCAB, keep_accents=True, sp_model_kwargs={"enable_sampling": True, "alpha": 0.1, "nbest_size": -1}
)
# Subword regularization augments training data with subword sampling.
# This has a random component. We test if the tokenizer generates different
# results when subword regularization is enabled.
tokens_list = []
for _ in range(5):
tokens_list.append(tokenizer.tokenize("This is a test for subword regularization."))
# the list of different pairs of tokens_list
combinations = itertools.combinations(tokens_list, 2)
all_equal = True
for combination in combinations:
if combination[0] != combination[1]:
all_equal = False
self.assertFalse(all_equal)
def test_pickle_subword_regularization_tokenizer(self):
"""Google pickle __getstate__ __setstate__ if you are struggling with this."""
# Subword regularization is only available for the slow tokenizer.
sp_model_kwargs = {"enable_sampling": True, "alpha": 0.1, "nbest_size": -1}
tokenizer = XLMRobertaTokenizer(SAMPLE_VOCAB, keep_accents=True, sp_model_kwargs=sp_model_kwargs)
tokenizer_bin = pickle.dumps(tokenizer)
tokenizer_new = pickle.loads(tokenizer_bin)
self.assertIsNotNone(tokenizer_new.sp_model_kwargs)
self.assertTrue(isinstance(tokenizer_new.sp_model_kwargs, dict))
self.assertEqual(tokenizer_new.sp_model_kwargs, sp_model_kwargs)
@cached_property
def big_tokenizer(self):
return XLMRobertaTokenizer.from_pretrained("xlm-roberta-base")

2
tests/test_tokenization_xlnet.py
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@@ -13,7 +13,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
@@ -33,6 +32,7 @@ class XLNetTokenizationTest(TokenizerTesterMixin, unittest.TestCase):
tokenizer_class = XLNetTokenizer
rust_tokenizer_class = XLNetTokenizerFast
test_rust_tokenizer = True
test_sentencepiece = True
def setUp(self):
super().setUp()