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Remove deprecated properties in tokenization_nllb.py and tokenization_nllb_fast.py (#29834)

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* Fix typo in tokenization_nllb.py

Change `adder_tokens_decoder` into `added_tokens_decoder` and improve the warning's readability.

* Fix typo in tokenization_nllb_fast.py

Change `adder_tokens_decoder` into `added_tokens_decoder` and improve the warning's readability.

* Remove deprecated attributes in tokenization_nllb.py

Remove deprecated attributes: `lang_code_to_id`, `fairseq_tokens_to_ids`, `id_to_lang_code`, and `fairseq_ids_to_tokens`

* Remove deprecated attribute in tokenization_nllb_fast.py

Remove deprecated attribute `lang_code_to_id`

* Remove deprecated properties in tokenization_nllb.py

Remove deprecated properties - fix format

* Remove deprecated properties in tokenization_nllb_fast.py

Remove deprecated properties - fix format

* Update test_tokenization_nllb.py

* update test_tokenization_nllb.py

* Update tokenization_nllb.py

* Update test_tokenization_seamless_m4t.py

* Update test_tokenization_seamless_m4t.py
This commit is contained in:
Yasmin Moslem 2024-05-23 17:53:26 +01:00 committed by GitHub
parent 965e98dc54
commit 6d3d5b1039
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4 changed files with 0 additions and 77 deletions
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44
src/transformers/models/nllb/tokenization_nllb.py
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@ -159,18 +159,6 @@ class NllbTokenizer(PreTrainedTokenizer):
self.fairseq_offset = 1
self.sp_model_size = len(self.sp_model)
# Everything that follows is kept for BC and will be removed in v4.38
self._fairseq_tokens_to_ids = {"<s>": 0, "<pad>": 1, "</s>": 2, "<unk>": 3}
language_codes = FAIRSEQ_LANGUAGE_CODES if additional_special_tokens is None else additional_special_tokens
self._lang_code_to_id = {
code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(language_codes)
}
self._id_to_lang_code = {v: k for k, v in self._lang_code_to_id.items()}
self._fairseq_tokens_to_ids["<mask>"] = len(self.sp_model) + len(self.lang_code_to_id) + self.fairseq_offset
self._fairseq_tokens_to_ids.update(self.lang_code_to_id)
self._fairseq_ids_to_tokens = {v: k for k, v in self.fairseq_tokens_to_ids.items()}
super().__init__(
bos_token=bos_token,
eos_token=eos_token,
@ -217,38 +205,6 @@ class NllbTokenizer(PreTrainedTokenizer):
def src_lang(self) -> str:
return self._src_lang
@property
def lang_code_to_id(self):
logger.warning_once(
"the `lang_code_to_id` attribute is deprecated. The logic is natively handled in the `tokenizer.adder_tokens_decoder`"
" this attribute will be removed in `transformers` v4.38"
)
return self._lang_code_to_id
@property
def fairseq_tokens_to_ids(self):
logger.warning_once(
"the `fairseq_tokens_to_ids` attribute is deprecated. The logic is natively handled in the `tokenizer.adder_tokens_decoder`"
" this attribute will be removed in `transformers` v4.38"
)
return self._fairseq_tokens_to_ids
@property
def id_to_lang_code(self):
logger.warning_once(
"the `id_to_lang_code` attribute is deprecated. The logic is natively handled in the `tokenizer.adder_tokens_decoder`"
" this attribute will be removed in `transformers` v4.38"
)
return self._id_to_lang_code
@property
def fairseq_ids_to_tokens(self):
logger.warning_once(
"the `_fairseq_ids_to_tokens` attribute is deprecated. The logic is natively handled in the `tokenizer.adder_tokens_decoder`"
" this attribute will be removed in `transformers` v4.38"
)
return self._fairseq_ids_to_tokens
@src_lang.setter
def src_lang(self, new_src_lang: str) -> None:
self._src_lang = new_src_lang

12
src/transformers/models/nllb/tokenization_nllb_fast.py
View File

@ -161,23 +161,11 @@ class NllbTokenizerFast(PreTrainedTokenizerFast):
**kwargs,
)
self._lang_code_to_id = {
lang_code: self.convert_tokens_to_ids(str(lang_code)) for lang_code in additional_special_tokens
}
self._src_lang = src_lang if src_lang is not None else "eng_Latn"
self.cur_lang_code = self.convert_tokens_to_ids(self._src_lang)
self.tgt_lang = tgt_lang
self.set_src_lang_special_tokens(self._src_lang)
@property
def lang_code_to_id(self):
logger.warning_once(
"the `lang_code_to_id` attribute is deprecated. The logic is natively handled in the `tokenizer.adder_tokens_decoder`"
" this attribute will be removed in `transformers` v4.38"
)
return self._lang_code_to_id
@property
def can_save_slow_tokenizer(self) -> bool:
return os.path.isfile(self.vocab_file) if self.vocab_file else False

12
tests/models/nllb/test_tokenization_nllb.py
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@ -367,11 +367,6 @@ class NllbDistilledIntegrationTest(unittest.TestCase):
cls.pad_token_id = 1
return cls
def test_language_codes(self):
self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ace_Arab"], 256001)
self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["ace_Latn"], 256002)
self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["fra_Latn"], 256057)
def test_enro_tokenizer_batch_encode_plus(self):
ids = self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
self.assertListEqual(self.expected_src_tokens, ids)
@ -397,13 +392,6 @@ class NllbDistilledIntegrationTest(unittest.TestCase):
def test_mask_token(self):
self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "ar_AR"]), [256203, 3])
def test_special_tokens_unaffacted_by_save_load(self):
tmpdirname = tempfile.mkdtemp()
original_special_tokens = self.tokenizer.fairseq_tokens_to_ids
self.tokenizer.save_pretrained(tmpdirname)
new_tok = NllbTokenizer.from_pretrained(tmpdirname)
self.assertDictEqual(new_tok.fairseq_tokens_to_ids, original_special_tokens)
@require_torch
def test_enro_tokenizer_prepare_batch(self):
batch = self.tokenizer(

9
tests/models/seamless_m4t/test_tokenization_seamless_m4t.py
View File

@ -12,7 +12,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import tempfile
import unittest
from transformers import (
@ -499,14 +498,6 @@ class SeamlessM4TDistilledIntegrationTest(unittest.TestCase):
self.assertEqual(ids[0], EN_CODE)
self.assertEqual(len(ids), desired_max_length)
# Copied from tests.models.nllb.test_tokenization_nllb.NllbDistilledIntegrationTest.test_special_tokens_unaffacted_by_save_load with fairseq_tokens_to_ids->additional_special_tokens, Nllb->SeamlessM4T, Dict->List
def test_special_tokens_unaffacted_by_save_load(self):
tmpdirname = tempfile.mkdtemp()
original_special_tokens = self.tokenizer.additional_special_tokens
self.tokenizer.save_pretrained(tmpdirname)
new_tok = SeamlessM4TTokenizer.from_pretrained(tmpdirname)
self.assertListEqual(new_tok.additional_special_tokens, original_special_tokens)
@require_torch
def test_enro_tokenizer_prepare_batch(self):
batch = self.tokenizer(