GitLab

* tmp commit

* beef up llama tests

* py38 + torch 2

* increment cache versions

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add tests with multiple eos_token_ids

* make math.prod instead of sum

* make fixup

* fix long and also use np.prod since math.prod does not exist <python 3.8

* make fixup

* add prod util

* use prod util instead of np.prod

* make fixup

* previous .long location

* use tensor ops

* remove prod

* remove prod

* update device

* make fixup

* fix none

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* fix

* fix

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add StopIdStoppingCriteria

* add a working test for stop id criteria

* add to global scope

* add stop_ids to generate

* add pipeline test

* use tokenizer encode in test

* add test to generation utils

* reformat

* fixup

* make-fix-copies

* rename to stop_token_id

* use stop_tokens instead

* add to text to text generation

* make fixup

* make repo-consistency

* Add support for list of ints for eos_token_id inside generation/utils.py

* Instead of having if elses, cast the eos_token_id into a List[int]

* Add List[int] support for logits_process.py

* add List[int] for beam_search.py

* add List[int] for forced_eos_token_id

* revert stop token id stopping criteria changes

* make fixup

* fix tests

* add eos_token_id to generation/utils.py and added tests test_utils.py

* add eos_token_id type hints and fix for pad tokens

* add comments

* remove some prints and remove forced false test

* fix

* put back test_stop_sequence_stopping_criteria

* remove unused import and make fixup

* add a none check

* update docstring

* add more docstring for list ints

* make fixup

* move generation_*.py src files into generation/*.py

* populate generation.__init__ with lazy loading

* move imports and references from generation.xxx.object to generation.object

* Use beam search functionality; Add extra outputs and test

* Add full tests for contrastive search

* Add error message on unconventional cache format

* contrastive search test updates

* make fixup

Adding the state-of-the-art contrastive search decoding methods for the codebase of generation_utils.py (#19477)

* add: the contrastive search for generaton_utils

* add: testing scripts for contrastive search under examples/text-generation

* update the quality of codes

* revise the docstring; make the generation_contrastive_search.py scripts;

* revise the examples/pytorch/text-generation/run_generation_contrastive_search.py to the auto-APIs format

* revise the necessary documents

* fix: revise the docstring of generation_contrastive_search.py

* Fix the code indentation

* fix: revise the nits and examples in contrastive_search docstring.

* fix the copyright

* delete generation_contrastive_search.py

* revise the logic in contrastive_search

* update the intergration test and the docstring

* run the tests over

* add the slow decorate to the contrastive_search intergrate test

* add more test

* do the style, quality, consistency checks

* validate generate model_kwargs

* generate tests -- not all models have an attn mask

* fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

- Fix `top_k_top_p_filtering` not passing `filter_value` to
   `TopPLogitsWarper` causing any top-p filtered logits to be -inf
   instead of specified value

 - Add corresponding test

* [Draft] fix transition probs

* up

* up

* up

* make it work

* fix

* finish

* update

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* min length must be smaller than max length

* Update min_length in tests

* up

* fix min lengths

[Bug Fix] Beam search example in docs fails & a fix (integrating `max_length` in `BeamScorer.finalize()`) (#15555)

* added the test and fix

* had left out a comment