GitLab

* add initial design for uniform processors + align model

* fix mutable default 👀

* add configuration test

* handle structured kwargs w defaults + add test

* protect torch-specific test

* fix style

* fix

* fix assertEqual

* move kwargs merging to processing common

* rework kwargs for type hinting

* just get Unpack from extensions

* run-slow[align]

* handle kwargs passed as nested dict

* add from_pretrained test for nested kwargs handling

* [run-slow]align

* update documentation + imports

* update audio inputs

* protect audio types, silly

* try removing imports

* make things simpler

* simplerer

* move out kwargs test to common mixin

* [run-slow]align

* skip tests for old processors

* [run-slow]align, clip

* !$#@!! protect imports, darn it

* [run-slow]align, clip

* [run-slow]align, clip

* update doc

* improve documentation for default values

* add model_max_length testing

This parameter depends on tokenizers received.

* Raise if kwargs are specified in two places

* fix

* expand VideoInput

* fix

* fix style

* remove defaults values

* add comment to indicate documentation on adding kwargs

* protect imports

* [run-slow]align

* fix

* remove set() that breaks ordering

* test more

* removed unused func

* [run-slow]align

* Let's try moving chat templates out of IDEFICS and into the generic ProcessorMixin

* Chat templates should not be mandatory

* Chat templates should not be mandatory

* Not all classes will have default chat templates

* stash commit

* Add chat template docstring

* Clean up docstring

* Add chat templates to LLaVA/LLaVA-next

* Docstring fixup

* Quick IDEFICS2 fixup

* Remove some old references to the Conversation class

* make fixup

[QoL fix] [Image processing] Add warning on assumption of channel dim and avoid infering when inputs are PIL.Image (#31364)

* Add warning on assumption of channel dim
Use PIL info whenever possible to decide channel axis

* Fix ruff format

* Remove type checking
Improve warning message

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

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

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

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

* Change JSON serialization to custom json.dumps to prevent escaping of "<", ">", "&", "'"

* caller has control over the order, remove sort_key=True

* Move tojson into a proper function and expose a couple of other args

---------
Co-authored-by: jun.4 <jun.4@kakaobrain.com>
Co-authored-by: Matt <rocketknight1@gmail.com>

Bump jupyter-core in /examples/research_projects/visual_bert

Bumps [jupyter-core](https://github.com/jupyter/jupyter_core) from 4.6.3 to 4.11.2.
- [Release notes](https://github.com/jupyter/jupyter_core/releases)
- [Changelog](https://github.com/jupyter/jupyter_core/blob/main/CHANGELOG.md)
- [Commits](https://github.com/jupyter/jupyter_core/compare/4.6.3...4.11.2

)

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* shard saving from hf hub

* index = None

* fix tests

* indent

Badge underline fix

Fix relative import

* docs: fix broken link

* fix link

Renamed loss to losses to suppress UnboundLocalError
Co-authored-by: Your Name <you@example.com>

* fix idefics cache

* fix tests

* Support import declaration in Code Agent

* Draft fast image processors

* Draft working fast version

* py3.8 compatible cache

* Enable loading fast image processors through auto

* Tidy up; rescale behaviour based on input type

* Enable tests for fast image processors

* Smarter rescaling

* Don't default to Fast

* Safer imports

* Add necessary Pillow requirement

* Woops

* Add AutoImageProcessor test

* Fix up

* Fix test for imagegpt

* Fix test

* Review comments

* Add warning for TF and JAX input types

* Rearrange

* Return transforms

* NumpyToTensor transformation

* Rebase - include changes from upstream in ImageProcessingMixin

* Safe typing

* Fix up

* convert mean/std to tesnor to rescale

* Don't store transforms in state

* Fix up

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

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

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

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

* Warn if fast image processor available

* Update src/transformers/models/vit/image_processing_vit_fast.py

* Transpose incoming numpy images to be in CHW format

* Update mapping names based on packages, auto set fast to None

* Fix up

* Fix

* Add AutoImageProcessor.from_pretrained(checkpoint, use_fast=True) test

* Update src/transformers/models/vit/image_processing_vit_fast.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>

* Add equivalence and speed tests

* Fix up

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

* First draft, still missing automatic function conversion

* First draft of the automatic schema generator

* Lots of small fixes

* the walrus has betrayed me

* please stop committing your debug breakpoints

* Lots of cleanup and edge cases, looking better now

* Comments and bugfixes for the type hint parser

* More cleanup

* Add tests, update schema generator

* Update tests, proper handling of return values

* Small docstring change

* More doc updates

* More doc updates

* Add json_schema decorator

* Clean up the TODOs and finish the docs

* self.maxDiff = None to see the whole diff for the nested list test

* add import for add_json_schema

* Quick test fix

* Fix something that was bugging me in the chat template docstring

* Less "anyOf" when unnecessary

* Support return types for the templates that need them

* Proper return type tests

* Switch to Google format docstrings

* Update chat templating docs to match new format

* Stop putting the return type in with the other parameters

* Add Tuple support

* No more decorator - we just do it implicitly!

* Add enum support to get_json_schema

* Update docstring

* Add copyright header

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

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

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

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

* Add copyright header

* make fixup

* Fix indentation

* Reformat chat_template_utils

* Correct return value

* Make regexes module-level

* Support more complex, multi-line arg docstrings

* Update error message for ...

* Update ruff

* Add document type validation

* Refactor docs

* Refactor docs

* Refactor docs

* Clean up Tuple error

* Add an extra test for very complex defs and docstrings and clean everything up for it

* Document enum block

* Quick test fixes

* Stop supporting type hints in docstring to fix bugs and simplify the regex

* Update docs for the regex change

* Clean up enum regex

* Wrap functions in {"type": "function", "function": ...}

* Update src/transformers/utils/chat_template_utils.py
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* Temporary tool calling commit

* Add type hints to chat template utils, partially update docs (incomplete!)

* Code cleanup based on @molbap's suggestion

* Add comments to explain regexes

* Fix up type parsing for unions and lists

* Add custom exception types and adjust tests to look for them

* Update docs with a demo!

* Docs cleanup

* Pass content as string

* Update tool call formatting

* Update docs with new function format

* Update docs

* Update docs with a second tool to show the model choosing correctly

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

Bump jupyter-core in /examples/research_projects/lxmert

Bumps [jupyter-core](https://github.com/jupyter/jupyter_core) from 4.6.3 to 4.11.2.
- [Release notes](https://github.com/jupyter/jupyter_core/releases)
- [Changelog](https://github.com/jupyter/jupyter_core/blob/main/CHANGELOG.md)
- [Commits](https://github.com/jupyter/jupyter_core/compare/4.6.3...4.11.2

)

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  dependency-type: direct:production
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* Fix gradio tool demos

Bump transformers in /examples/research_projects/pplm

Bumps [transformers](https://github.com/huggingface/transformers) from 3.5.1 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v3.5.1...v4.38.0

)

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  dependency-type: direct:production
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Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.3 to 6.4.1.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.3.3...v6.4.1

)

---
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  dependency-type: direct:production
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Remove double softmax

* [run-slow] cohere

* [run-slow] cohere

* [run-slow] cohere

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

improve error msg when using bnb

* Fix do_reduce_labels for maskformer image processor

* Deprecate reduce_labels in favor to do_reduce_labels

* Deprecate reduce_labels in favor to do_reduce_labels (segformer)

* Deprecate reduce_labels in favor to do_reduce_labels (oneformer)

* Deprecate reduce_labels in favor to do_reduce_labels (maskformer)

* Deprecate reduce_labels in favor to do_reduce_labels (mask2former)

* Fix typo

* Update mask2former test

* fixup

* Update segmentation examples

* Update docs

* Fixup

* Imports fixup

* Add deprecation decorator draft

* Add deprecation decorator

* Fixup

* Add deprecate_kwarg decorator

* Validate kwargs decorator

* Kwargs validation (beit)

* fixup

* Kwargs validation (mask2former)

* Kwargs validation (maskformer)

* Kwargs validation (oneformer)

* Kwargs validation (segformer)

* Better message

* Fix oneformer processor save-load test

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

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

* Update src/transformers/utils/deprecation.py
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* Update src/transformers/utils/deprecation.py
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* Better handle classmethod warning

* Fix typo, remove warn

* Add header

* Docs and `additional_message`

* Move to filter decorator ot generic

* Proper deprecation for semantic segm scripts

* Add to __init__ and update import

* Basic tests for filter decorator

* Fix doc

* Override `to_dict()` to pop depracated `_max_size`

* Pop unused parameters

* Fix trailing whitespace

* Add test for deprecation

* Add deprecation warning control parameter

* Update generic test

* Fixup deprecation tests

* Introduce init service kwargs

* Revert popping unused params

* Revert oneformer test

* Allow "metadata" to pass

* Better docs

* Fix test

* Add notion in docstring

* Fix notification for both names

* Add func name to warning message

* Fixup

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>

* pass inverted causal mask

* add sanity check for paligemma finetuning

* [run-slow]paligemma

* Rename to test_model_common_attributes
The method name is misleading - it is testing being able to get and set embeddings, not common attributes to all models

* Explicitly skip

Bump transformers in /examples/research_projects/adversarial

Bumps [transformers](https://github.com/huggingface/transformers) from 3.5.1 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v3.5.1...v4.38.0

)

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  dependency-type: direct:production
...
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* Update TVP model to interpolate pre-trained image pad prompter encodings

* feat: Add 2D positional embeddings interpolation in TvpVisualInputEmbedding

* added required comments

* Update TVP model to interpolate pre-trained image pad prompter encodings

* feat: Add 2D positional embeddings interpolation in TvpVisualInputEmbedding

* added required comments

* docstring and argument fix

* doc fixes and test case fix suggested in review.

* varibale typo fix

* styling and name fixes for padding interpolation flag.

Bump pillow in /examples/research_projects/decision_transformer

Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.2.0 to 10.3.0.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](https://github.com/python-pillow/Pillow/compare/10.2.0...10.3.0

)

---
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- dependency-name: pillow
  dependency-type: direct:production
...
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* Remove ConversationalPipeline and Conversation object, as they have been deprecated for some time and are due for removal

* Update not-doctested.txt

* Fix JA and ZH docs

* Fix JA and ZH docs some more

* Fix JA and ZH docs some more

Bump transformers in /examples/research_projects/bert-loses-patience

Bumps [transformers](https://github.com/huggingface/transformers) from 3.5.1 to 4.38.0.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v3.5.1...v4.38.0

)

---
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  dependency-type: direct:production
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Bump aiohttp in /examples/research_projects/decision_transformer

Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.9.0 to 3.9.4.
- [Release notes](https://github.com/aio-libs/aiohttp/releases)
- [Changelog](https://github.com/aio-libs/aiohttp/blob/master/CHANGES.rst)
- [Commits](https://github.com/aio-libs/aiohttp/compare/v3.9.0...v3.9.4

)

---
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- dependency-name: aiohttp
  dependency-type: direct:production
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Bump tornado in /examples/research_projects/visual_bert

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.3.3 to 6.4.1.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.3.3...v6.4.1

)

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  dependency-type: direct:production
...
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* Implement JSON dump conversion for torch_dtype in TrainingArguments

* Add unit test for converting torch_dtype in TrainingArguments to JSON

* move unit test for converting torch_dtype into TrainerIntegrationTest class

* reformating using ruff

* convert dict_torch_dtype_to_str to private method _dict_torch_dtype_to_str

---------
Co-authored-by: jun.4 <jun.4@kakaobrain.com>

* added hidden subset

* debugged hidden subset contrastive search

* added contrastive search compression

* debugged compressed contrastive search

* memory reduction for contrastive search

* debugged mem red

* added low memory option feature

* debugged mem optmimization output stack

* debugged mem optmimization output stack

* debugged low mem

* added low mem cache

* fixed 2047 tensor view

* debugged 2042 past key val inputs

* reformatted tensors

* changed low mem output

* final clean

* removed subset hidden csearch

* fixed hidden device

* fixed hidden device

* changed compressor dtype

* removed hstate compression

* integrated csearch in generate

* test csearch integration into generation

exit()

* fixed csearch kwarg integration with generation

* final wrap and added doc

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* added debug print

* direct hstate cat

* direct hstate cat

* direct hstate cat debug

* direct hstate cat debug

* expanded full hidden state stack

* expanded full hidden state stack

* matched dims for hstates

* matched dims for hstates

* logits fix

* equality test

* equality hidden debug

* debug

* added prints for debug

* added prints for debug

* equality check

* switched squeeze dim

* input format debug

* tracing top_k_ids

* removed trace

* added test context

* added jitter

* added jitter

* added jitter

* returned state

* rebuilt past key value reconstruction

* debugged

* cleaned traces

* added selection for pkv

* changed output to dict

* cleaned

* cleaned

* cleaned up contrastive search test

* moved low_memory kwarg

* debugged

* changed low mem test batch size to 1

* removed output

* debugged test input shape

* reformatted csearch test

* added trace

* removed unsqueeze on final forward pass

* replaced unsqueeze with view

* removed traces

* cleaned

* debugged model kwargs

* removed special models from test

* ran make quality

* Update src/transformers/generation/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* refactored

* refactored

* refactored

* make fixup

* renamed flag sequential

* renamed flag sequential

* iterative onloading

* black style and test utils

* added traces for integrated test

* debugged

* added traces

* make style

* removed traces, make style

* included suggestions and added test

* debugged test

* added offload module check and make style

* is_accelerate_available and make style

* added test decorator

* changed test model and config spec

* added offload condition

* added lazy loading for each shard

* debugged

* modified sharding

* debugged

* added traces

* removed safe serialization

* no index overload;

* trace on safe save ptrs

* added ptr condition

* debugged

* debugged ptr

* moved module map init

* remake shard only for offloaded modules

* refactored

* debugged

* refactored

* debugged

* cleaned and make style

* cleaned and make style

* added trace

* sparse module map

* debugged

* removed module map conditional

* refactored

* debug

* debugged

* added traces

* added shard mem trace

* added shard mem trace

* removed underlying storage check

* refactored

* memory leak removal and make style

* cleaned

* swapped test decs and make style

* added mem checks and make style

* added free mem warning

* implemented some suggestions

* moved onloading to accelerate

* refactored for accelerate integration

* cleaned test

* make style

* debugged offload map name

* cleaned and make style

* replaced meta device check for sharding

* cleaned and make style

* implemented some suggestions

* more suggestions

* update warning
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* more suggestions

* make style

* new make style

* Update src/transformers/modeling_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/modeling_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* Update src/transformers/modeling_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

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

---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix jetmoe model

* Remove skip-tests