Files
Ita ZaporozhetsandArthur 05c0e1d390 rm slow tokenizers (#40936)
* fixes missed

* gemma test fix

* refactor

* rm legacy from llama

* added renaming

* add _model

* update legacy

* update legacy

* fix docstring

* always load blank, then set _tokenizer if we have it

* new toks

* update all berttokenizer based models

* apply feedback - delete bert duplicates

* more models --> fast only

* more convert_slow models

* fix common test refs

* updating fast only tokenizers

* openai and pegasus

* enable sentencepiecebackend

* more models

* code gen

* t5

* code gen tests

* speecht5

* mbart

* mbart50

* more models

* more models

* layouglmv2

* update tests

* update tests

* update tests

* pretrainedtokenizer

* whisper

* whisper

* layoutxlm and storing backends

* refactor sentencepiecebackend and additional_special_tokens

* renaming tokenization_utils --> tokenization_python

* udpate tests

* bert test

* blenderbot

* clip

* codegen

* code_llama

* cohere

* deberata, deberat v2, funnel

* gpt2

* batch update tests

* pegasus qwen2 roberta

* more models

* layout tests

* some renaming

* fix references to utils_fast

* fix refs

* fix refs

* fix refs

* fix refs

* fix refs

* fix refs

* fix refs

* fix some tests

* regression

* fix refs

* fix refs

* missed the most crucial file in my last commit

* fix refs

* fix refs

* fix refs

* batch encode fix

* fix some tests

* BC for batch_decode bc too many refs

* more tests

* fix more tests

* fix for processors

* fixing more models

* deleted mbart50 by accident

* seamless m4t

* albert fix

* whisper

* layout3

* attempt to fix cached tokenizers on CI

* trying another fix on CI

* again try to work around CI

* bertweet

* tapas

* mbart50

* luke

* mluke

* markuplm

* markuplm

* fix some more auto tests

* some random model failures

* mistralcommontestser

* more fixes

* ref fix

* siglip

* marian

* plbart

* update utils toks

* seamless m4t

* roc bert

* udpate byt5 test

* xlm

* esm

* roformer

* code llama

* biogpt

* m2m100

* dpr and flaubert

* xlm and speech to text

* tok backend pass object

* tokenizer object pass

* wav2vec2

* wav2vec2

* cpmant

* update utils tokenizers

* cpmant

* bartpho

* test apply chat template assistant mask

* apply chat template video

* apply chat template assistant mask

* test torch

* update from slow in base and fix donut processor errors

* auto to point to tokenizers backend, fix kosmos2

* some non model fixes for old slow models that no longer have their own tokenizer file as they are the same as bert

* missed file from last commit

* idefics2

* fixup

* fixup

* pretrained tokenizer fast test update

* stash

* bad merged

* cherry pick more stuff that did not merge well

* fix gptsw3

* nit warn for now

* update error raising

* just ran fixup

* bring back bert legacy

* fix

* nit

* fix 56 errors on blenderbotsmall?

* 18 for blenderbotsmall

* tok auto

* missed clip

* fix tests

* something missed

* token healing

* tok common tests update - nonmodel

* try to fix non-model test in test_tokenization_utils

* fix hub tests

* try to fix hub tests

* custom vocab related fixed

* bert jap

* BERT JAP

* rename bert legacy to bert legacy

* Wav2vec2

* fix in tok python to update total vocab size - fixes speech t5

* blender bot small

* forgot test file

* test failures

* marian

* gpt2 tiktoken

* big bird / marian

* udop

* forgot couple changes

* test_serve fix

* missing import

* a couple processors fixes

* style partly

* fix to fetch tests ci

* Revert branch back to commit f5bc69ef state

* revert branch to styling

* update mistral after merge

* fixes for non model tests

* some processor test fixes

* more processor test fixes

* more processor fixes

* hub tests

* python tok utils

* fix hub test

* make style for now

* remove problemattic fic copies

* python utils/check_copies.py --fix_and_overwrite

* more styling

* fixup

* silence docstirng

* fix import?

* fix imports

* add the local test as well

* throw spm error

* llamas

* fix a couple tests

* broke ci

* broke ci

* broke ci

* broke ci

* add logs to debug gemma on ci

* gemma and llama

* gemma

* revert las commit

* gemma debug

* gemma debug

* gemma

* safely import spiece backend

* tok tests

* check none

* setup and qual

* ruff

* del dev files

* tok auto

* fill docstrings

* update auto

* blenderbot small nit

* add migration guide

* move mixtral patch to `TokenizersBackend`, move `TokenizerExtractor`

* rename MistralCommonTokenizer to MistralCommonB ackend

* nit

* fix failures

* fixup

* remoove one old test

* mark the slow one as slow

* very small fixes

* update auto mapping for missing ones

* fixup lorsd

* fixup doc and stuff

* should be the final fixe

* processing update

* update

* FIX or brute AI fix the llava test

* style

* slow?

* fix is offline mode?

* fix mt5

* One tok utils (#42462)

* consolidate python and utils tokenization files, they are copies

* ruff and ref

* Format

* fix cohere

* ?

* up

* am I dumbb?

* grumble

---------

Co-authored-by: Arthur <arthur.zucker@gmail.com>
2025-11-27 19:24:50 +01:00

136 lines
5.1 KiB
Python

# Copyright 2020 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import unittest
from huggingface_hub.utils import are_progress_bars_disabled
import transformers.models.roberta.tokenization_roberta
from transformers import logging
from transformers.testing_utils import CaptureLogger, mockenv, mockenv_context
from transformers.utils.logging import disable_progress_bar, enable_progress_bar
class HfArgumentParserTest(unittest.TestCase):
def test_set_level(self):
logger = logging.get_logger()
# the current default level is logging.WARNING
level_origin = logging.get_verbosity()
logging.set_verbosity_error()
self.assertEqual(logger.getEffectiveLevel(), logging.get_verbosity())
logging.set_verbosity_warning()
self.assertEqual(logger.getEffectiveLevel(), logging.get_verbosity())
logging.set_verbosity_info()
self.assertEqual(logger.getEffectiveLevel(), logging.get_verbosity())
logging.set_verbosity_debug()
self.assertEqual(logger.getEffectiveLevel(), logging.get_verbosity())
# restore to the original level
logging.set_verbosity(level_origin)
def test_integration(self):
level_origin = logging.get_verbosity()
logger = logging.get_logger("transformers.models.roberta.tokenization_roberta")
msg = "Testing 1, 2, 3"
# should be able to log warnings (if default settings weren't overridden by `pytest --log-level-all`)
if level_origin <= logging.WARNING:
with CaptureLogger(logger) as cl:
logger.warning(msg)
self.assertEqual(cl.out, msg + "\n")
# this is setting the level for all of `transformers.*` loggers
logging.set_verbosity_error()
# should not be able to log warnings
with CaptureLogger(logger) as cl:
logger.warning(msg)
self.assertEqual(cl.out, "")
# should be able to log warnings again
logging.set_verbosity_warning()
with CaptureLogger(logger) as cl:
logger.warning(msg)
self.assertEqual(cl.out, msg + "\n")
# restore to the original level
logging.set_verbosity(level_origin)
@mockenv(TRANSFORMERS_VERBOSITY="error")
def test_env_override(self):
# reset for the env var to take effect, next time some logger call is made
transformers.utils.logging._reset_library_root_logger()
# this action activates the env var
_ = logging.get_logger("transformers.models.roberta.tokenization_roberta")
env_level_str = os.getenv("TRANSFORMERS_VERBOSITY", None)
env_level = logging.log_levels[env_level_str]
current_level = logging.get_verbosity()
self.assertEqual(
env_level,
current_level,
f"TRANSFORMERS_VERBOSITY={env_level_str}/{env_level}, but internal verbosity is {current_level}",
)
# restore to the original level
os.environ["TRANSFORMERS_VERBOSITY"] = ""
transformers.utils.logging._reset_library_root_logger()
@mockenv(TRANSFORMERS_VERBOSITY="super-error")
def test_env_invalid_override(self):
# reset for the env var to take effect, next time some logger call is made
transformers.utils.logging._reset_library_root_logger()
logger = logging.logging.getLogger()
with CaptureLogger(logger) as cl:
# this action activates the env var
logging.get_logger("transformers.models.roberta.tokenization_roberta")
self.assertIn("Unknown option TRANSFORMERS_VERBOSITY=super-error", cl.out)
# no need to restore as nothing was changed
def test_advisory_warnings(self):
# testing `logger.warning_advice()`
transformers.utils.logging._reset_library_root_logger()
logger = logging.get_logger("transformers.models.roberta.tokenization_roberta")
msg = "Testing 1, 2, 3"
with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS="1"):
# nothing should be logged as env var disables this method
with CaptureLogger(logger) as cl:
logger.warning_advice(msg)
self.assertEqual(cl.out, "")
with mockenv_context(TRANSFORMERS_NO_ADVISORY_WARNINGS=""):
# should log normally as TRANSFORMERS_NO_ADVISORY_WARNINGS is unset
with CaptureLogger(logger) as cl:
logger.warning_advice(msg)
self.assertEqual(cl.out, msg + "\n")
def test_set_progress_bar_enabled():
disable_progress_bar()
assert are_progress_bars_disabled()
enable_progress_bar()
assert not are_progress_bars_disabled()