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[Dependencies|tokenizers] Make both SentencePiece and Tokenizers optional dependencies (#7659)

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* splitting fast and slow tokenizers [WIP]

* [WIP] splitting sentencepiece and tokenizers dependencies

* update dummy objects

* add name_or_path to models and tokenizers

* prefix added to file names

* prefix

* styling + quality

* spliting all the tokenizer files - sorting sentencepiece based ones

* update tokenizer version up to 0.9.0

* remove hard dependency on sentencepiece 🎉

* and removed hard dependency on tokenizers 🎉

* update conversion script

* update missing models

* fixing tests

* move test_tokenization_fast to main tokenization tests - fix bugs

* bump up tokenizers

* fix bert_generation

* update ad fix several tokenizers

* keep sentencepiece in deps for now

* fix funnel and deberta tests

* fix fsmt

* fix marian tests

* fix layoutlm

* fix squeezebert and gpt2

* fix T5 tokenization

* fix xlnet tests

* style

* fix mbart

* bump up tokenizers to 0.9.2

* fix model tests

* fix tf models

* fix seq2seq examples

* fix tests without sentencepiece

* fix slow => fast  conversion without sentencepiece

* update auto and bert generation tests

* fix mbart tests

* fix auto and common test without tokenizers

* fix tests without tokenizers

* clean up tests lighten up when tokenizers + sentencepiece are both off

* style quality and tests fixing

* add sentencepiece to doc/examples reqs

* leave sentencepiece on for now

* style quality split hebert and fix pegasus

* WIP Herbert fast

* add sample_text_no_unicode and fix hebert tokenization

* skip FSMT example test for now

* fix style

* fix fsmt in example tests

* update following Lysandre and Sylvain's comments

* Update src/transformers/testing_utils.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/testing_utils.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/tokenization_utils_base.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/tokenization_utils_base.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
This commit is contained in:
Thomas Wolf
2020-10-18 20:51:24 +02:00
committed by GitHub
parent c65863ce53
commit ba8c4d0ac0
140 changed files with 6551 additions and 3961 deletions
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14
src/transformers/configuration_utils.py
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@@ -43,6 +43,9 @@ class PretrainedConfig(object):
recreate the correct object in :class:`~transformers.AutoConfig`.
Args:
name_or_path (:obj:`str`, `optional`, defaults to :obj:`""`):
Store the string that was passed to :func:`~transformers.PreTrainedModel.from_pretrained` or :func:`~transformers.TFPreTrainedModel.from_pretrained`
as ``pretrained_model_name_or_path`` if the configuration was created with such a method.
output_hidden_states (:obj:`bool`, `optional`, defaults to :obj:`False`):
Whether or not the model should return all hidden-states.
output_attentions (:obj:`bool`, `optional`, defaults to :obj:`False`):
@@ -206,6 +209,9 @@ class PretrainedConfig(object):
# TPU arguments
self.xla_device = kwargs.pop("xla_device", None)
# Name or path to the pretrained checkpoint
self._name_or_path = str(kwargs.pop("name_or_path", ""))
# Additional attributes without default values
for key, value in kwargs.items():
try:
@@ -214,6 +220,14 @@ class PretrainedConfig(object):
logger.error("Can't set {} with value {} for {}".format(key, value, self))
raise err
@property
def name_or_path(self) -> str:
return self._name_or_path
@name_or_path.setter
def name_or_path(self, value):
self._name_or_path = str(value) # Make sure that name_or_path is a string (for JSON encoding)
@property
def use_return_dict(self) -> bool:
"""