GitLab

* Fix GPTNeoX beam search when using parallelize

* Fix beam search idx device when using model parallel

* remove onnx related stuff
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix: move test_beam_search_on_multi_gpu to GenerationTesterMixin

* fix: add right item to _no_split_modules of MegaPreTrainedModel

* fix: add num_beams within parallelized beam_search test
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* aligned sample_beam specs with beam_search

* pull origin main

* Revert "pull origin main"

This reverts commit 06d356f1137bb52272e120a03636598c44449cf3.

* update test_utils.py

* fix format

* remove comment

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Co-authored-by: Shogo Fujita <shogo.fujita@legalontech.jp>

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add exception

* update docs

* Replace python random with torch.rand to enable dynamo.export

* revert changes to flax model code

* Remove unused random import

* Fix torch template

* Move torch.manual_seed(0) to right location

increase atol

* fix

* fix

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

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* starcoder has joined the chat

* indexing that works for all

* temperature controls speed

* working mvp

* remove breakpoint

* fix commit

* standardize outputs

* tmp commit

* tests almost ready

* tmp commit

* skip a few models

* Add streaming; Docs and examples

* document limitations

* PR commits

* Amy PR comments

* fix

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

* 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>