* 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
* 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
* init PR
* optimize top p and add edge case
* styling
* style
* revert tf and flax test
* add edge case test for FLAX and TF
* update doc with smallest set sampling for top p
* make style
- 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
* add possibility to softly regulate length when using sampling method in model.generate() function
* fix test config, fix formatting
* fix rag integration, fix docstyling
* fix wrong docstring
* change param to tuple, add test
* fix old param in rag_model, remove unused import
* change test according to new param
* fix formatting
* fix test case
* fix doc style
* move start_length calculation to Logitprocessor
* add possibility to softly regulate length when using sampling method in model.generate() function
* fix rag integration, fix docstyling
* fix test config, fix formatting
* change param to tuple, add test
* fix old param in rag_model, remove unused import
* add possibility to softly regulate length when using sampling method in model.generate() function
* change param to tuple, add test
* fix old param in rag_model, remove unused import
* remove unused import
* fix small errors
* fix test
* add possibility to softly regulate length when using sampling method in model.generate() function
* fix test config, fix formatting
* fix rag integration, fix docstyling
* change param to tuple, add test
* fix old param in rag_model, remove unused import
* change test according to new param
* fix test case
* move start_length calculation to Logitprocessor
* add possibility to softly regulate length when using sampling method in model.generate() function
* fix rag integration, fix docstyling
* fix test config, fix formatting
* change param to tuple, add test
* fix old param in rag_model, remove unused import
* add possibility to softly regulate length when using sampling method in model.generate() function
* fix test config, fix formatting
* fix rag integration, fix docstyling
* add possibility to softly regulate length when using sampling method in model.generate() function
* fix rag integration, fix docstyling
* change param to tuple, add test
* fix old param in rag_model, remove unused import
* fix small errors
* Update src/transformers/generation_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/generation_utils.py
* Update src/transformers/generation_utils.py
* fix docstring, add type ind model rag
* fix docstrings
* introduce seq_length variable for cleaner code
* fix black formatting
* add input_ids_seq_length to modeling_rag
* add input_ids_seq_length to test
* retrigger checks
* retrigger checks
Co-authored-by: Kevin Bondzio <kev@AIM-LAP-02.local>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Kevin Bondzio <kev@AIM-LAP-02.fritz.box>
* added classes to get started with constrained beam search
* in progress, think i can directly force tokens now but not yet with the round robin
* think now i have total control, now need to code the bank selection
* technically works as desired, need to optimize and fix design choices leading to undersirable outputs
* complete PR #1 without disjunctive decoding
* removed incorrect tests
* Delete k.txt
* Delete test.py
* Delete test.sh
* revert changes to test scripts
* genutils
* full implementation with testing, no disjunctive yet
* shifted docs
* passing all tests realistically ran locally
* removing accidentally included print statements
* fixed source of error in initial PR test
* fixing the get_device() vs device trap
* fixed documentation docstrings about constrained_beam_search
* fixed tests having failing for Speech2TextModel's floating point inputs
* fix cuda long tensor
* added examples and testing for them and founx & fixed a bug in beam_search and constrained_beam_search
* deleted accidentally added test halting code with assert False
* code reformat
* Update tests/test_generation_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update tests/test_generation_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update tests/test_generation_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update tests/test_generation_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update tests/test_generation_utils.py
* fixing based on comments on PR
* took out the testing code that should but work fails without the beam search moditification ; style changes
* fixing comments issues
* docstrings for ConstraintListState
* typo in PhrsalConstraint docstring
* docstrings improvements
* finished adding what is sort of an opinionated implementation of disjunctive generation, but it revealed errors in inner beam search logic during testing.
* fixed bug found in constrained beam search that used beam_idx that were not global across all the batches
* disjunctive constraint working 100% correctly
* passing all tests
* Accidentally included mlruns
* Update src/transformers/generation_beam_constraints.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Update src/transformers/generation_beam_constraints.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* complete overhaul of type complexities and other nits
* strict type checks in generate()
* fixing second round of feedback by narsil
* fixed failing generation test because of type check overhaul
* generation test fail fix
* fixing test fails
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Add TF logits wrappers
* Add sample method
* add tests for TF logit wrappers
* TF generate sample tests now run on CPU
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
