GitLab

* first draft

* remove non-existent paths

* edits

* feedback

* feedback and optimum

* Apply suggestions from code review
Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
Co-authored-by: Ella Charlaix <80481427+echarlaix@users.noreply.github.com>

* redirect to correct doc

* _redirects.yml

---------
Co-authored-by: regisss <15324346+regisss@users.noreply.github.com>
Co-authored-by: Ella Charlaix <80481427+echarlaix@users.noreply.github.com>

fix dropout in modeling_gpt_bigcode.py

* Backward compatibility fix for the Conversation class

* Explain what's going on in the conditional

* add v1 neftune

* use `unwrap_model` instead

* add test + docs

* Apply suggestions from code review
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* more details

* fixup

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

* refactor a bit

* more elaborated test

* fix unwrap issue

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

* Add support for loading GPTQ models on CPU

Right now, we can only load the GPTQ Quantized model on the CUDA
device. The attribute `gptq_supports_cpu` checks if the current
auto_gptq version is the one which has the cpu support for the
model or not.
The larger variants of the model are hard to load/run/trace on
the GPU and that's the rationale behind adding this attribute.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>

* Update quantization.md

* Update quantization.md

* Update quantization.md

A recent PR https://github.com/huggingface/transformers/pull/26579 fixed an edge case out-of-bounds tensor indexing error in TypicalLogitsWarper, and a related behaviour change was made that we thought fixed a long-standing bug w.r.t. the token inclusion cutoff.

However after looking more closely, I am pretty certain that the original logic was correct and that the OOB fix should have been made differently.

Specifically the docs state that it should include the "smallest set of tokens that add up to P or higher" and so `last_ind` should actually be one more than the index of the last token satisfying (cumulative_probs < self.mass).

We still need a max clamp in case that last token is the very last one in the tensor.

* added flash attention of gpt_bigcode

* changed docs

* Update src/transformers/models/gpt_bigcode/modeling_gpt_bigcode.py

* add FA-2 docs

* oops

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

* fix

* oops

* remove padding_mask

* change getattr->hasattr logic

* changed .md file

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

Update configuration_blip.py

edit docstrings

* [docstring] Fix docstring for AltCLIPVisionConfig, AltCLIPTextConfig + cleaned some docstring

* Removed entries from check_docstring.py

* Removed entries from check_docstring.py

* Removed entry from check_docstring.py

* [docstring] Fix docstring for AltCLIPTextConfig, AltCLIPVisionConfig and AltCLIPConfig

* get default device through `PartialState().default_device` as is has
been officially released

* apply code review suggestion

* apply code review suggestion
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

---------
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* Fix import

* Apply suggestions from code review
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

* fix

* fix

* fix

* fix

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

* Add KOSMOS-2 model

* update

* update

* update

* address review comment - 001

* address review comment - 002

* address review comment - 003

* style

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix

* address review comment - 004

* address review comment - 005

* address review comment - 006

* address review comment - 007

* address review comment - 008

* address review comment - 009

* address review comment - 010

* address review comment - 011

* update readme

* fix

* fix

* fix

* [skip ci] fix

* revert the change in _decode

* fix docstring

* fix docstring

* Update docs/source/en/model_doc/kosmos-2.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* no more Kosmos2Tokenizer

* style

* remove "returned when being computed by the model"

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

* UTM5 Atten

* fix attn mask

* use present_key_value_states instead of next_decoder_cache

* style

* conversion scripts

* conversion scripts

* conversion scripts

* Add _reorder_cache

* fix doctest and copies

* rename 1

* rename 2

* rename 3

* make fixup

* fix table

* fix docstring

* rename 4

* change repo_id

* remove tip

* update md file

* make style

* update md file

* put docs/source/en/model_doc/kosmos-2.md to slow

* update conversion script

* Use CLIPImageProcessor in Kosmos2Processor

* Remove Kosmos2ImageProcessor

* Remove to_dict in Kosmos2Config

* Remove files

* fix import

* Update conversion

* normalized=False

* Not using hardcoded values like <image>

* elt --> element

* Apply suggestion

* Not using hardcoded values like </image>

* No assert

* No nested functions

* Fix md file

* copy

* update doc

* fix docstring

* fix name

* Remove _add_remove_spaces_around_tag_tokens

* Remove dummy docstring of _preprocess_single_example

* Use `BatchEncoding`

* temp

* temp

* temp

* Update

* Update

* Make Kosmos2ProcessorTest a bit pretty

* Update gradient checkpointing

* Fix gradient checkpointing test

* Remove one liner remove_special_fields

* Simplify conversion script

* fix add_eos_token

* update readme

* update tests

* Change to microsoft/kosmos-2-patch14-224

* style

* Fix doc

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* remove the obsolete code related to fairscale FSDP

* apple review suggestion

* add `gradient_checkpointing_kwargs` in trainer and training arguments

* add comment

* add test - currently failing

* now tests pass

fix data2vec audio note about attention mask

Update modeling_mistral.py

fix docstring and type hint for resize

* [FA2 Bart] Add FA2 to all Bart-like

* better

* Refactor attention mask

* remove all customized atteniton logic

* format

* mass rename

* replace _expand_mask

* replace _expand_mask

* mass rename

* add pt files

* mass replace & rename

* mass replace & rename

* mass replace & rename

* mass replace & rename

* Update src/transformers/models/idefics/modeling_idefics.py

* fix more

* clean more

* fix more

* make style

* fix again

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* Apply suggestions from code review

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* small fix mistral

* finish

* finish

* finish

* finish

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

* fix detr device map

* add comments

* fix

* more fixes

* fix other models

* fix long t5

* use `gradient_checkpointing_func` instead

* fix copies

* set `gradient_checkpointing_func` as a private attribute and retrieve previous behaviour

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

* replace it with `is_gradient_checkpointing_set`

* remove default

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

* fixup

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

* fix no split

* style

* remove comm

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

* rename modules

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

* add early stopping logits processor

* black formmated

* indent

* follow method signature

* actual logic

* check for None

* address comments on docstrings and method signature

* add unit test under `LogitsProcessorTest` wip

* unit test passing

* black formatted

* condition per sample

* add to BarkModelIntegrationTests

* wip BarkSemanticModelTest

* rename and add to kwargs handling

* not add to BarkSemanticModelTest

* correct logic and assert last outputs tokens different in test

* doc-builder style

* read from kwargs as well

* assert len of with less than that of without

* ruff

* add back seed and test case

* add original impl default suggestion

* doc-builder

* rename and use softmax

* switch back to LogitsProcessor and update docs wording

* camelCase and spelling and saving compute

* assert strictly less than

* assert less than

* expand test_generate_semantic_early_stop instead

Revert "add exllamav2 arg (#26437)"

This reverts commit 8214d6e7.

* v4.35.dev.0

* nit t5fast match t5 slow

* Support runs/

* Upload runs folder as part of push to hub

* Add a test

* Add to test deps

* Update with proposed solution from Slack

* Ensure that repo gets deleted in tests

* docs(training_args): correct docstrings

Correct docstrings of these methods in `TrainingArguments`:

- `set_save`
- `set_logging`

* docs(training_args): adjust words in docstrings
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* docs(trainer): correct a typo in comments

---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* add_ xllamav2 arg

* add test

* style

* add check

* add doc

* replace by use_exllama_v2

* fix tests

* fix doc

* style

* better condition

* fix logic

* add deprecate msg

* clean

* clean llama

* fix more

* make style

* Apply suggestions from code review

* Apply suggestions from code review

* Update src/transformers/models/llama/modeling_llama.py

* Update src/transformers/models/llama/modeling_llama.py

* Apply suggestions from code review

* finish

* make style

* fix

* update

* revert

* add dosctring

* good to go

* update

* add a test

* pin FA-2 to `2.1`

* fix on modeling

* Working tests!

* Fix sampler

* Fix

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

* Fix check

* Clean

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

Handle all unshared models types

* add `MaskGenerationPipeline` in docs

* Update __init__.py

* fix repo consistency and clarify docstring

* add on check docstirngs

* actually we do have a tf sam

* oops

fix incorrect docstring: encoder -> decoder

* Fix TypicalLogitsWarper tensor OOB indexing edge case

This can be triggerd fairly quickly with low precision e.g. bfloat16 and typical_p = 0.99.

* Shift threshold index by one

* Use explicit named arg for clamp min

* v1

* fix

* remove `create_custom_forward`

* fixup

* fixup

* add test and fix all failing GC tests

* remove all remaining `create_custom_forward` methods

* fix idefics bug

* fixup

* replace with `__call__`

* add comment

* quality