GitLab

* Fix yolos processing

* Add back slow marker - protects for pycocotools in slow

* Slow decorator goes above copied from header

* [Whisper Tok] Update integration test

* make style

* fix ESM 8bit

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

* fixup

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

* more fixes

* more fixes

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

Update test_modeling_llama.py

fix failing tests for peft integration

change starcoder2 path to correct one

* remove control flow

* update gptneox

* update ....

* nits

* Actually let's just break. Otherwise we are silently failing which imo is not optimal

* version BC

* fix tests

* fix eager causal

* nit

* add a test

* style

* nits

* nits

* more nits for the test

* update and fix

* make sure cuda graphs are not skipped

* read token is needed for meta llama

* update!

* fiixup

* compile test should be slow

* fix thet fix copies

* stle 🫠

* pu hf token in gemma tests

* update suggestion

* add to flax

* revert

* fix

* fixup

* forward contrib credits from discussion

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

* Copy model

* changes

* misc

* fixes

* add embed and residual dropout (#30)

* misc

* remove rms norm and gated MLP

* remove copied mentions where its not a copy anymore

* remove unused _shape

* copied from mistral instead

* fix copies

* fix copies

* add not doctested

* fix

* fix copyright

* Update docs/source/en/model_doc/starcoder2.md
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/starcoder2/configuration_starcoder2.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/starcoder2/configuration_starcoder2.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix doc

* revert some changes

* add fa2 tests

* fix styling nit

* fix

* push dummy docs

---------
Co-authored-by: Joel Lamy-Poirier <joel.lamy-poirier@servicenow.com>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

Cleaner Cache `dtype` and `device` extraction for CUDA graph generation for quantizers compatibility (#29079)

* input_layernorm as the beacon of hope

* cleaner dtype extraction

* AQLM + CUDA graph test

* is available check

* shorter text test

GenerationConfig validate both options for constrained decoding: constraints and force_words_ids

* First commit

* Improvements

* More improvements

* Converted original checkpoint to HF checkpoint

* Fix style

* Fixed forward

* More improvements

* More improvements

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Remove asserts

* Remove unnecessary attributes

* Changed model name to camel case

* Improve forward doc

* Improve tests

* More improvements

* Fix copies

* Fix doc

* Make SegGptImageProcessor more flexible

* Added few-shot test

* Fix style

* Update READMEs and docs

* Update READMEs

* Make inputs required

* Add SegGptForImageSegmentation

* Make tests pass

* Rename to out_indicies

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Fixed naming convention

* Copying SegGptMlp from modeling_sam.py

* Some minor improvements

* Remove mlp_ratio

* Fix docstrings

* Fixed docstring match

* Objects defined before use

* Storing only patch_size and beta for SegGptLoss

* removed _prepare_inputs method

* Removed modified from headers

* Renamed to output_indicies

* Removed unnecessary einsums

* Update tests/models/seggpt/test_modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/seggpt/test_modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/seggpt/test_modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fixing issues

* Raise error as soon as possible

* More fixes

* Fix merge

* Added palette to SegGptImageProcessor

* Fixed typo

* Fixed shape typo

* Added permute before doing palette to class mapping

* Fixed style

* Fixed and added tests

* Fixed docstrings

* Matching SegFormer API for post_processing_semantic_segmentation

* Fixed copies

* Fixed SegGptImageProcessor to handle both binary and RGB masks

* Updated docstrings of SegGptImageProcessor

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update docs/source/en/model_doc/seggpt.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/configuration_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/convert_seggpt_to_hf.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/seggpt/test_image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/seggpt/test_modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Object definitions above & fix style

* Renamed output_indices to intermediate_feature_indices

* Removed unnecessary check on bool_masked_pos

* Loss first in the outputs

* Added validation for do_normalize

* Improved SegGptImageProcessor and added new tests

* Added comment

* Added docstrings to SegGptLoss

* Reimplemented ensemble condition logic in SegGptEncoder

* Update src/transformers/models/seggpt/__init__.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/seggpt/convert_seggpt_to_hf.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/seggpt/configuration_seggpt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Updated docstrings to use post_process_semantic_segmentation

* Fixed typo on docstrings

* moved pixel values test to test_image_processing_seggpt

* Addressed comments

* Update src/transformers/models/seggpt/configuration_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/image_processing_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/configuration_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Updated docstrings for SegGptLoss

* Address comments

* Added SegGpt example to model docs

* Update src/transformers/models/seggpt/modeling_seggpt.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* moved patchify and unpatchify

* Rename checkpoint

* Renamed intermediate_features to intermediate_hidden_states for consistency

* Update src/transformers/models/seggpt/configuration_seggpt.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Replaced post_process_masks for post_process_semantic_segmentation in the docs

---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Niels <niels.rogge1@gmail.com>
Co-authored-by: Eduardo Pacheco <eduardo.pacheco@limehome.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add feature extraction mapping

* added prefix

* ruff check

* minor fix

* Update modeling_auto.py

* fix typo

* remove prefix to make variable public/importable

* Update src/transformers/models/auto/modeling_auto.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fixes

* addressed comments

* nit

* fix-copies

* remove from tests

* this should fix

* Update tests/models/convnextv2/test_modeling_convnextv2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* nits

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

* stash commit

* stash commit

* It works!

* Remove unnecessary change

* We don't actually need the cache_dir!

* Update docstring

* Add test

* Add test with custom cache dir too

* Update model repo path

* fix modelling code

* add tests

* fix tests

* add some logit tests

* style

* fix fix

* inital commit

* update

* update conversion checkpoint

* update conversion script

* nits

* some fixes

* nits

* merge

* fix permute

* nits

* fix

* nits

* nits

* nits

* fix rope

* fix both rope

* nites

* style

* make sure flax works

* fix flax init code

* fix foward

* nits

* print flax generation out

* current code

* nits

* SIIIIIIIIIIIIIIIIIII

* update

* add new tokenizer

* correct fast tokenizer

* fix conversion

* more comments

* fix modeling and conversion

* nits and nits

* nits testing

* add some tokenization tests

* add some edge cases

* add slow tests and fix them

* fixup

* fix copies for modeling

* fix copies

* add 7B slow tests

* fix

* fix

* fix tests

* make tokenizer cis go green

* styling

* last tokenizer nits

* update jax tests

* fix flax for 7b

* add jit testing 🤗



* cleanups

* isolated nit, inv_freq for rotary_emb.inv_freq

* propagate to jax

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* adjust test

* fix conversion script

* change name

* correct file names

* update conversion script

* Fix bos and eos token ids in the model configuration (#3)

* update modelling

* update conversion script

* add static cache for gemma

* fix sdpa generate

* fix batched

* multiple fixes

* fix FA2

* final fix

* Rename a few missing strings and filenames (#4)

* merge with upstream main

* fix copies

* fix copies

* fix fixup

* fix fixup

* fix

* fix

* final tests

* fix fx gemma tests

* fix fx bf16/fp16 tests

* update slow fx tests

* fx slow tests: one logits, one generation

* move jit test standalone

* Apply suggestions from code review

* nits

* tokenizer updates

* more tokenization updates: custom GemmaSentencepieceExtrator

* style

* Update src/transformers/cache_utils.py

* Update src/transformers/models/gemma/__init__.py

* Update tests/models/gemma/test_modeling_flax_gemma.py

* small nits

* style

* update tokenization test

* fix the rotary embedding

* with style

* fix slow tests

* WARNING this commit might be very important for precisions

* Update tests/models/gemma/test_modeling_flax_gemma.py

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

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

* small nits here and there!

* forgotten nit

* remove on the fly computation of inv_freq

* revert previous change, let's be safe and for now re-compute freq cis to make sure it's in float

* Apply suggestions from code review
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update src/transformers/models/gemma/convert_gemma_weights_to_hf.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update src/transformers/models/gemma/convert_gemma_weights_to_hf.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_flax_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_tokenization_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_tokenization_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_tokenization_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_tokenization_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update tests/models/gemma/test_modeling_gemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* nit conversion script link

* fix some tests

* add not doctest and pr doctest

* repo consistency

* fix last CIs 🚀



* update all readmes

---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Lysandre Debut <hi@lysand.re>

* support SDPA Attention in stablelm

* add integration test

* add fallback for output_attentions

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

* Update tests/models/stablelm/test_modeling_stablelm.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/stablelm/modeling_stablelm.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* handle non-contiguous states

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Add pool option

* PR comments - error message and exact outputs check

* draft processor arg capture

* add missing vivit model

* add new common test for image preprocess signature

* fix quality

* fix up

* add back missing validations

* quality

* move info level to warning for unused kwargs

* Revert "Add tie_weights() to LM heads and set bias in set_output_embeddings() (#28948)"

This reverts commit 725f4ad1.

* Revert "Patch to skip failing `test_save_load_low_cpu_mem_usage` tests (#29043)"

This reverts commit 4156f517.

* add add_dummy_prefix_space option to slow

* checking kwargs might be better. Should be there for all spm tokenizer IMO

* nits

* fix copies

* more copied

* nits

* add prefix space

* nit

* nits

* Update src/transformers/convert_slow_tokenizer.py

* fix inti

* revert wrong styling

* fix

* nits

* style

* updates

* make sure we use slow tokenizer for conversion instead of looking for the decoder

* support llama ast well

* update llama tokenizer fast

* nits

* nits nits nits

* update the doc

* update

* update to fix tests

* skip unrelated tailing test

* Update src/transformers/convert_slow_tokenizer.py

* add proper testing

* test decode as well

* more testing

* format

* fix llama test

* Apply suggestions from code review

* handle peft + compiled models

* add tests

* fixup

* adapt from suggestions

* clarify comment

* forgot to push the changes for 4bit ..

* trigger CI

* add RMSProp to Trainer

* revert some change

* Update src/transformers/trainer.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* generated text on A10G

* generated text in CI

* Apply suggestions from code review

add explanatory comments
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

---------
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

output_logits option behaves like output_scores, but returns the raw, unprocessed prediction logit scores,
ie. the values before they undergo logit processing and/or warping. The latter happens by default for the
regular output scores.

It's useful to have the unprocessed logit scores in certain circumstances. For example, unprocessed logit scores
are very useful with causallm models when one wants to determine the probability of a certain answer, e.g.
when asking a question with a yes/no answer. In that case getting the next-token probabilities of both "yes" and
"no" (and/or their relative ratio) is of interest for classification. The reason for getting these _before_ logit
processing and/or warping is b/c a) that can change the probabilities or b) reject the tokens of interest / reduce
the number of tokens to just 1.

For an example use-case see paper TabLLM: Few-shot Classification of Tabular Data with Large Language Models
by Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang, and David Sontag.
https://arxiv.org/abs/2210.10723



In addition:
- added dedicated unit test: tests/generation/test_utils/test_return_unprocessed_logit_scores
  which tests return of logics with output_logits=True in generation.
- set output_logits=True in all other generation unit tests, that also have output_scores=True.

Implemented @gante's and @amyeroberts review feedback
Co-authored-by: kx79wq <max.baak@ing.com>

Fix test

Update test_mixed_int8.py

* Add chat support to text generation pipeline

* Better handling of single elements

* Deprecate ConversationalPipeline

* stash commit

* Add missing add_special_tokens kwarg

* Update chat templating docs to refer to TextGenerationPipeline instead of ConversationalPipeline

* Add ✨TF✨

 tests

* @require_tf

* Add type hint

* Add specific deprecation version

* Remove unnecessary do_sample

* Remove todo - the discrepancy has been resolved

* Update src/transformers/tokenization_utils_base.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/pipelines/text_generation.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* FIx trainer test

* Update tests/trainer/test_trainer.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* pass through trust_remote_code for dynamically loading unregistered tokenizers specified by config
add test

* change directories back to previous directory after test

* fix ruff check

* Add a note to that block for future in case we want to remove it later

---------
Co-authored-by: Matt <rocketknight1@gmail.com>