[Tokenizer] Fix slow and fast serialization
#26570
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4 tasks
4 tasks
LysandreJik
approved these changes
Oct 18, 2023
|
I ran into the error below So I added some prints and get this intermediate values: According to the output, I made a fix, which seemed to work out: # Passing AddedTokens and not strings to the class to prevent it from casting the string to a different AddedToken
for key in cls.SPECIAL_TOKENS_ATTRIBUTES & init_kwargs.keys():
if added_tokens_map != {} and init_kwargs[key] is not None:
if key != "additional_special_tokens":
# >>> debug
def print_info(name, obj):
print(f"{name}: ({type(obj).__name__}){obj}")
print_info("cls.SPECIAL_TOKENS_ATTRIBUTES", cls.SPECIAL_TOKENS_ATTRIBUTES)
print_info("added_tokens_map", added_tokens_map)
print_info("init_kwargs", init_kwargs)
print_info("key", key)
print_info("init_kwargs[key]", init_kwargs[key])
# <<< debug
- init_kwargs[key] = added_tokens_map.get(init_kwargs[key], init_kwargs[key])
+ init_kwargs[key] = added_tokens_map.get(key, init_kwargs[key]) # fix |
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Could you share a reproducer? Would help me a lot as well! |
Sorry that I'm too busy to do so right now 😭 But this only happened when I loaded the tokenizer of Llemma-7B. I hope this description could help you reproduce the error. |
EduardoPach
pushed a commit
to EduardoPach/transformers
that referenced
this pull request
Nov 19, 2023
* fix * last attempt * current work * fix forward compatibility * save all special tokens * current state * revert additional changes * updates * remove tokenizer.model * add a test and the fix * nit * revert one more break * fix typefield issue * quality * more tests * fix fields for FC * more nits? * new additional changes * how * some updates * simplify all * more nits * revert some things to original * nice * nits * a small hack * more nits * ahhaha * fixup * update * make test run on ci * use subtesting * update * Update .circleci/create_circleci_config.py * updates * fixup * nits * replace typo * fix the test * nits * update * None max dif pls * a partial fix * had to revert one thing * test the fast * updates * fixup * and more nits * more fixes * update * Oupsy 👁️ * nits * fix marian * on our way to heaven * Update src/transformers/models/t5/tokenization_t5.py Co-authored-by: Lysandre Debut <hi@lysand.re> * fixup * Update src/transformers/tokenization_utils_fast.py Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com> * Update src/transformers/tokenization_utils_base.py Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com> * fix phobert * skip some things, test more * nits * fixup * fix deberta * update * update * more updates * skip one test * more updates * fix camembert * can't test this one * more good fixes * kind of a major update - seperate what is only done in fast in fast init and refactor - add_token(AddedToken(..., speicla = True)) ignores it in fast - better loading * fixup * more fixups * fix pegasus and mpnet * remove skipped tests * fix phoneme tokenizer if self.verbose * fix individual models * update common tests * update testing files * all over again * nits * skip test for markup lm * fixups * fix order of addition in fast by sorting the added tokens decoder * proper defaults for deberta * correct default for fnet * nits on add tokens, string initialized to special if special * skip irrelevant herbert tests * main fixes * update test added_tokens_serialization * the fix for bart like models and class instanciating * update bart * nit! * update idefix test * fix whisper! * some fixup * fixups * revert some of the wrong chanegs * fixup * fixup * skip marian * skip the correct tests * skip for tf and flax as well --------- Co-authored-by: Lysandre Debut <hi@lysand.re> Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com>
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What does this PR do?
added_tokens.jsonfile: a recent push made it save all the added tokens encoder, but it should only save the indexes greater than the vocab size for forward compatibility.additionnal_special_tokensthat were added twice / overwrittenadd_tokens: if the added tokens is a string we check if it's not already in the added vocab instead of always defaulting to strip left or right."__type ":"AddedToken"field to the added tokens otherwise the previous versions of transformers will try to load them.fixes #26732, fixes #26775, fixes #26773, fixes #26768, fixes #26859