GitLab

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

* Adjust length limits and allow naked conversation list inputs

* Adjust length limits and allow naked conversation list inputs

* Maybe use a slightly more reasonable limit than 1024

* Skip tests for old models that never supported this anyway

* Cleanup input docstrings

* More docstring cleanup + skip failing TF test

* Make fixup

* First draft

* Update conversion script

* Update copied from statements

* Fix style

* Add copied from to config

* Add copied from to processor

* Run make fixup

* Add docstring

* Update docstrings

* Add method

* Improve docstrings

* Fix docstrings

* Improve docstrings

* Remove onnx

* Add flag

* Address comments

* Add copied from to model tests

* Add flag to conversion script

* Add code snippet

* Address more comments

* Address comment

* Improve conversion script

* More improvements

* Add expected objectness logits

* Skip test

* Improve conversion script

* Extend conversion script

* Convert large checkpoint

* Fix doc tests

* Convert all checkpoints, update integration tests

* Add checkpoint_path arg

* Fix repo_id

* Disable default system prompt for LLaMA

* Update test to not expect default prompt

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

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

* fix

* fix

* fix

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

* fix

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

* copied statement for test files

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

* set encoder's PE as non-trainable

* freeze flax

* init sinusoids

* add test for non-trainable embed positions

* simplify TF encoder embed_pos

* revert tf

* clean up

* add sinusoidal init for jax

* make consistent sinusoidal function

* fix dtype

* add default dtype

* use numpy for sinusoids. fix jax

* add sinusoid init for TF

* fix

* use custom embedding

* use specialized init for each impl

* fix sinusoids init. add test for pytorch

* fix TF dtype

* simplify sinusoid init for flax and tf

* add tests for TF

* change default dtype to float32

* add sinusoid test for flax

* Update src/transformers/models/whisper/modeling_flax_whisper.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update src/transformers/models/whisper/modeling_tf_whisper.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* move sinusoidal init to _init_weights

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Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* make sure eos and bos are properly handled for fast tokenizer

* fix code llama as well

* nits

* fix the conversion script as well

* fix failing test

* remove unnecessary unsqueeze-squeeze in llama

* correct other models

* fix

* revert gpt_neox_japanese

* fix copie

* fix test

* Update tokenization_code_llama_fast.py

* Update test_tokenization_code_llama.py

* Update test_tokenization_code_llama.py

* feat: close #26566, changed model & config files to accept arbitary in and out channels

* updated docstrings

* fix: linter error

* fix: update Copy docstrings

* fix: linter update

* fix: rename num_channels_in to num_channels to prevent breaking changes

* fix: make num_channels_out None per default

* Update src/transformers/models/swin2sr/configuration_swin2sr.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix: update tests to include num_channels_out

* fix:linter

* fix: remove normalization with precomputed rgb values when #input_channels!=#output_channels

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

* fix silent bug `keep_in_fp32` modules

* final fix

* added a common test.

* Trigger CI

* revert

* fix

* fix

* fix

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

Add # Copied from statements to audio feature extractors that use the floats_list function.

* Skip tests temporarily

* style

* Add additional test

* [Whisper] Allow basic text normalization

* up

* style copies

* add FA-2 support for mistral

* fixup

* add sliding windows

* fixing few nits

* v1 slicing cache - logits do not match

* add comment

* fix bugs

* more mem efficient

* add warning once

* add warning once

* oops

* fixup

* more comments

* copy

* add safety checker

* fixup

* Update src/transformers/models/mistral/modeling_mistral.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* copied from

* up

* raise when padding side is right

* fixup

* add doc + few minor changes

* fixup

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

* add tokenizer kwarg inputs

* Adding tokenizer_kwargs to _sanitize_parameters

* Add truncation=True example to tests

* Update test_pipelines_fill_mask.py

* Update test_pipelines_fill_mask.py

* make fix-copies and make style

* Update fill_mask.py

Replace single tick with double

* make fix-copies

* Style

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Co-authored-by: Lysandre <lysandre@huggingface.co>

* fix encoding when the fill token is None

* add tests and edge cases

* fiuxp

* Update tests/models/code_llama/test_tokenization_code_llama.py

* fix wav2vec2

* nit

* stash

* one more file to update

* fix byt5

* vocab size is 256, don't change that!

* use other revision

* test persimon in smaller size

* style

* tests

* nits

* update add tokens from pretrained

* test tokenization

* nits

* potential fnet fix?

* more nits

* nits

* correct test

* assert close

* udpate

* ouch

* fix it

* some more nits

* FINALLU

* use `adept` checkpoints

* more adept checkpoints

* that was invlved!

* Revert "Falcon: fix revision propagation (#26006)"

This reverts commit 118c676ef3124423e5d062b665f05cde55bc9a90.

* Revert "Put Falcon back (#25960)"

This reverts commit 22a69f1d.

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

* fix_mbart_tied_weights

* add test

* [Mistral] Mistral-7B-v0.1 support

* fixing names

* slightly longer test

* fixups

* not_doctested

* wrongly formatted references

* make fixuped

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Co-authored-by: Timothee Lacroix <t@eugen.ai>
Co-authored-by: timlacroix <t@mistral.ai>

* fix

* fixup

* tests

* fixup

* Add conversion script

* Add NougatImageProcessor

* Add crop margin

* More improvements

* Add docs, READMEs

* Remove print statements

* Include model_max_length

* Add NougatTokenizerFast

* Fix imports

* Improve postprocessing

* Improve image processor

* Fix image processor

* Improve normalize method

* More improvements

* More improvements

* Add processor, improve docs

* Simplify fast tokenizer

* Remove test file

* Fix docstrings

* Use NougatProcessor in conversion script

* Add is_levensthein_available

* Add tokenizer tests

* More improvements

* Use numpy instead of opencv

* Add is_cv2_available

* Fix cv2_available

* Add is_nltk_available

* Add image processor tests, improve crop_margin

* Add integration tests

* Improve integration test

* Use do_rescale instead of hacks, thanks Amy

* Remove random_padding

* Address comments

* Address more comments

* Add import

* Address more comments

* Address more comments

* Address comment

* Address comment

* Set max_model_input_sizes

* Add tests

* Add requires_backends

* Add Nougat to exotic tests

* Use to_pil_image

* Address comment regarding nltk

* Add NLTK

* Improve variable names, integration test

* Add test

* refactor, document, and test regexes

* remove named capture groups, add comments

* format

* add non-markdown fixed tokenization

* format

* correct flakyness of args parse

* add regex comments

* test functionalities for crop_image, align long axis and expected output

* add regex tests

* remove cv2 dependency

* test crop_margin equality between cv2 and python

* refactor table regexes to markdown

add newline

* change print to log, improve doc

* fix high count tables correction

* address PR comments: naming, linting, asserts

* Address comments

* Add copied from

* Update conversion script

* Update conversion script to convert both small and base versions

* Add inference example

* Add more info

* Fix style

* Add require annotators to test

* Define all keyword arguments explicitly

* Move cv2 annotator

* Add tokenizer init method

* Transfer checkpoints

* Add reference to Donut

* Address comments

* Skip test

* Remove cv2 method

* Add copied from statements

* Use cached_property

* Fix docstring

* Add file to not doctested

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Co-authored-by: Pablo Montalvo <pablo.montalvo.leroux@gmail.com>

* Update tiny model summary file

* add to pipeline tests

* revert

* fix import

* fix import

* fix

* fix

* update

* update

* update

* fix

* remove BarkModelTest

* fix

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

* v1

* oops

* working v1

* fixup

* add some TODOs

* fixup

* padding support + try with module replacement

* nit

* alternative design

* oops

* add `use_cache` support for llama

* v1 falcon

* nit

* a bit of refactor

* nit

* nits nits

* add v1 padding support falcon (even though it seemed to work before)

* nit

* falcon works

* fixup

* v1 tests

* nit

* fix generation llama flash

* update tests

* fix tests + nits

* fix copies

* fix nit

* test- padding mask

* stype

* add more mem efficient support

* Update src/transformers/modeling_utils.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fixup

* nit

* fixup

* remove it from config when saving

* fixup

* revert docstring

* add more checks

* use values

* oops

* new version

* fixup

* add same trick for falcon

* nit

* add another test

* change tests

* fix issues with GC and also falcon

* fixup

* oops

* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* add init_rope

* updates

* fix copies

* fixup

* fixup

* more clarification

* fixup

* right padding tests

* add docs

* add FA in docker image

* more clarifications

* add some figures

* add todo

* rectify comment

* Change to FA2

* Update docs/source/en/perf_infer_gpu_one.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* split in two lines

* change test name

* add more tests

* some clean up

* remove `rearrange` deps

* add more docs

* revert changes on dockerfile

* Revert "revert changes on dockerfile"

This reverts commit 8d72a66b4b9b771abc3f15a9b9506b4246d62d8e.

* revert changes on dockerfile

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <hi@lysand.re>

* address some comments

* docs

* use inheritance

* Update src/transformers/testing_utils.py
Co-authored-by: Lysandre Debut <hi@lysand.re>

* fixup

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/modeling_utils.py

* final comments

* clean up

* style

* add cast + warning for PEFT models

* fixup

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Co-authored-by: Felix Marty <9808326+fxmarty@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

Keep relevant weights in fp32 when `model._keep_in_fp32_modules` is set even when `accelerate` is not installed (#26225)

* fix bug where weight would not be kept in fp32

* nit

* address review comments

* fix test

* include changes from llama

* add a test

* fix bros integration test

* update bros checkpoint

* First draft

* Simplify image processor

* Fix rebase

* Address comments

* Address more comments

* Address more comments

* Address more comments

* Address more comments

* Improve pad_image

* Add tests

* Update integration test

* Fix image processor tests

* Fix model tests

* Convert checkpoints

* Fix doc tests

* Remove file

* Apply suggestions

* Address comments

* Fix typing hint

* Add batch_norm_eps

* Address comments

* Fix style

* Add test

* Add config_class