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Deprecate prepare_seq2seq_batch (#10287)

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* Deprecate prepare_seq2seq_batch

* Fix last tests

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* More review comments

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Suraj Patil <surajp815@gmail.com>
This commit is contained in:
Sylvain Gugger
2021-02-22 12:36:16 -05:00
committed by GitHub
parent e73a3e1891
commit 9e147d31f6
31 changed files with 325 additions and 320 deletions
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7
src/transformers/tokenization_utils_base.py
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@@ -3303,6 +3303,13 @@ class PreTrainedTokenizerBase(SpecialTokensMixin):
The full set of keys ``[input_ids, attention_mask, labels]``, will only be returned if tgt_texts is passed.
Otherwise, input_ids, attention_mask will be the only keys.
"""
warnings.warn(
"`prepare_seq2seq_batch` is deprecated and will be removed in version 5 of 🤗 Transformers. Use the "
"regular `__call__` method to prepare your inputs and the tokenizer under the `with_target_tokenizer` "
"context manager to prepare your targets. See the documentation of your specific tokenizer for more "
"details",
FutureWarning,
)
# mBART-specific kwargs that should be ignored by other models.
kwargs.pop("src_lang", None)
kwargs.pop("tgt_lang", None)