* initial commit, refactoring the text generation api reference
* removed repetitive code examples
* Refactoring the text generation docs to reduce repetition
* make style
* generate from config mvp
* fix failing tests
* max_time test
* Load default gen config at model load time; Update docs
* further documentation; add tests
* adapt rag to the new structure
* handle models not instantiated with from_pretained (like in tests)
* better default generation config
* add can_generate fn
* handle legacy use case of ad hoc model config changes
* initialize gen config from config in individual methods, if gen config is none
* fix _get_decoder_start_token_id when called outside GenerationMixin
* correct model config load order (set attr > model config > decoder config)
* update rag to match latest changes
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* load gen config from model config in model.from_pretrained
* fix can_generate fn
* handle generate calls without a previous from_pretrained (e.g. tests)
* add legacy behavior (and a warning)
* lower logger severity
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* 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
