* 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
* adds agnostic decorators and availability fns
* renaming decorators and fixing imports
* updating some representative example tests
bloom, opt, and reformer for now
* wip device agnostic functions
* lru cache to device checking functions
* adds `TRANSFORMERS_TEST_DEVICE_SPEC`
if present, imports the target file and updates device to function
mappings
* comments `TRANSFORMERS_TEST_DEVICE_SPEC` code
* extra checks on device name
* `make style; make quality`
* updates default functions for agnostic calls
* applies suggestions from review
* adds `is_torch_available` guard
* Add spec file to docs, rename function dispatch names to backend_*
* add backend import to docs example for spec file
* change instances of to
* Move register backend to before device check as per @statelesshz changes
* make style
* make opt test require fp16 to run
---------
Co-authored-by: arsalanu <arsalanu@graphcore.ai>
Co-authored-by: arsalanu <hzji210@gmail.com>
* remove SharedDDP as it was drepracated
* apply review suggestion
* make style
* Oops,forgot to remove the compute_loss context manager in Seq2SeqTrainer.
* remove the unnecessary conditional statement
* keep the logic of IPEX
* clean code
* mix precision setup & make fixup
---------
Co-authored-by: statelesshz <jihuazhong1@huawei.com>
* First commit while I figure this out
* make fixup
* Remove unused method
* Store prompt attrib
* Fix prompt argument for tests
* Make same changes in fast tokenizer
* Remove global prompts from fast tokenizer too
* stash commit
* stash commit
* Migrate PromptConfig to its True Final Location
* Replace Conversation entirely with the new class
* Import/dependency fixes
* Import/dependency fixes
* Change format for lots of default prompts
* More default prompt fixups
* Revert llama old methods so we can compare
* Fix some default configs
* Fix some default configs
* Fix misspelled kwarg
* Fixes for Blenderbot
* make fixup
* little rebase cleanup
* Add basic documentation
* Quick doc fix
* Truncate docstring for now
* Add handling for the case when messages is a single string
* Quick llama merges
* Update conversational pipeline and tests
* Add a couple of legacy properties for backward compatibility
* More legacy handling
* Add docstring for build_conversation_input_ids
* Restructure PromptConfig
* Let's start T E M P L A T I N G
* Refactor all default configs to use templates instead
* Revert changes to the special token properties since we don't need them anymore
* More class templates
* Make the sandbox even sandier
* Everything replaced with pure templating
* Remove docs for PromptConfig
* Add testing and optional requirement boilerplate
* Fix imports and make fixup
* Fix LLaMA tests and add Conversation docstring
* Finally get LLaMA working with the template system
* Finally get LLaMA working with the template system
* make fixup
* make fixup
* fmt-off for the long lists of test tokens
* Rename method to apply_chat_template for now
* Start on documentation
* Make chat_template a property that reads through to the default if it's not set
* Expand docs
* Expand chat templating doc some more
* trim/lstrip blocks by default and update doc
* Few doc tweaks
* rebase cleanup
* Clarify docstring
* rebase cleanup
* rebase cleanup
* make fixup
* Quick doc edit
* Reformat the standard template to match ChatML
* Re-add PEFT check
* Update docs/source/en/chat_templating.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Add apply_chat_template to the tokenizer doc
* make fixup
* Add doc links
* Fix chat links
* Fix chat links
* Explain system messages in the doc
* Add chat template test
* Proper save-loading for chat template attribute
* Add test skips for layout models
* Remove _build_conversation_input_ids, add default_chat_template to code_llama
* Make sure all LLaMA models are using the latest template
* Remove default_system_prompt block in code_llama because it has no default prompt
* Update ConversationPipeline preprocess
* Add correct #Copied from links to the default_chat_templates
* Remove unneeded type checking line
* Add a dummy mark_processsed method
* Reorganize Conversation to have **deprecated_kwargs
* Update chat_templating.md
* Quick fix to LLAMA tests
* Small doc tweaks
* Add proper docstrings and "copied from" statements to all default chat templates
* Merge use_default_system_prompt support for code_llama too
* Improve clarity around self.chat_template
* Docstring fix
* Fix blenderbot default template
* More doctest fix
* Break out some tokenizer kwargs
* Update doc to explain default templates
* Quick tweaks to tokenizer args
* Cleanups for tokenizer args
* Add note about cacheing
* Quick tweak to the chat-templating doc
* Update the LLaMA template with error checking and correct system message embedding
* make fixup
* make fixup
* add requires_jinja
* Cleanup to expected output formatting
* Add cacheing
* Fix typo in llama default template
* Update LLaMA tests
* Update documentation
* Improved legacy handling in the Conversation class
* Update Jinja template with proper error handling
* Quick bugfix
* Proper exception raising
* Change cacheing behaviour so it doesn't try to pickle an entire Jinja env
* make fixup
* rebase cleanup
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Adds `TRANSFORMERS_TEST_BACKEND`
Allows specifying arbitrary additional import following first `import torch`.
This is useful for some custom backends, that will require additional imports to trigger backend registration with upstream torch.
See https://github.com/pytorch/benchmark/pull/1805 for a similar change in `torchbench`.
* Update src/transformers/testing_utils.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* Adds real backend example to documentation
---------
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* init commit
* config updated also some modeling
* Processor and Model config combined
* extraction pipeline(upto before spectogram & mel_conditioner) added but not properly tested
* model loading successful!
* feature extractor done!
* FE can now be called from HF
* postprocessing added in fe file
* same as prev commit
* Pop2PianoConfig doc done
* cfg docs slightly changed
* fe docs done
* batched
* batched working!
* temp
* v1
* checking
* trying to go with generate
* with generate and model tests passed
* before rebasing
* .
* tests done docs done remaining others & nits
* nits
* LogMelSpectogram shifted to FeatureExtractor
* is_tf rmeoved from pop2piano/init
* import solved
* tokenization tests added
* minor fixed regarding modeling_pop2piano
* tokenizer changed to only return midi_object and other changes
* Updated paper abstract(Camera-ready version) (#2)
* more comments and nits
* ruff changes
* code quality fix
* sg comments
* t5 change added and rebased
* comments except batching
* batching done
* comments
* small doc fix
* example removed from modeling
* ckpt
* forward it compatible with fe and generation done
* comments
* comments
* code-quality fix(maybe)
* ckpts changed
* doc file changed from mdx to md
* test fixes
* tokenizer test fix
* changes
* nits done main changes remaining
* code modified
* Pop2PianoProcessor added with tests
* other comments
* added Pop2PianoProcessor to dummy_objects
* added require_onnx to modeling file
* changes
* update .md file
* remove extra line in index.md
* back to the main index
* added pop2piano to index
* Added tokenizer.__call__ with valid args and batch_decode and aligned the processor part too
* changes
* added return types to 2 tokenizer methods
* the PR build test might work now
* added backends
* PR build fix
* vocab added
* comments
* refactored vocab into 1 file
* added conversion script
* comments
* essentia version changed in .md
* comments
* more tokenizer tests added
* minor fix
* tests extended for outputs acc check
* small fix
---------
Co-authored-by: Jongho Choi <sweetcocoa@snu.ac.kr>
* a draft version
* v2 integration
* fix
* make it more generic and works for IA3
* add set adapter and multiple adapters support
* fixup
* adapt a bit
* oops
* oops
* oops
* adapt more
* fix
* add more refactor
* now works with model class
* change it to instance method as it causes issues with `jit`.
* add CR
* change method name
* add `add_adapter` method
* clean up
* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* add moe utils
* fixup
* Update src/transformers/adapters/peft_mixin.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* adapt
* oops
* fixup
* add is_peft_available
* remove `requires_backend`
* trainer compatibility
* fixup + docstring
* more details
* trigger CI
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Update src/transformers/modeling_utils.py
* fixup + is_main_process
* added `save_peft_format` in save_pretrained
* up
* fix nits here and there
* nits here and there.
* docs
* revert `encoding="utf-8"`
* comment
* added slow tests before the PEFT release.
* fixup and nits
* let's be on the safe zone
* added more comments
* v1 docs
* add remaining docs
* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* move to `lib_integrations`
* fixup
* this time fixup
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* address final comments
* refactor to use `token`
* add PEFT to DockerFile for slow tests.
* added pipeline support.
---------
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Adds `TRANSFORMERS_TEST_DEVICE`
Mirrors the same API in the diffusers library. Useful in transformers
too.
* replace backend checking with trying `torch.device`
* Adds better error message for unknown test devices
* `make style`
* adds documentation showing `TRANSFORMERS_TEST_DEVICE` usage.
* enable unit tests to run on third-party devcies other than CUDA and CPU.
* remove the modification that enabled ut on MPS
* control test on third-party device by env variable
* update
---------
Co-authored-by: statelesshz <jihuazhong1@huawei.com>
* Stop storing references to bound methods in tf.functions
* Remove the gc.collect calls now that we resolved the underlying problem
* Remove the default signature from model.serving entirely, big cleanup
* Remove _prune_signature as self.input_signature can prune itself
* Restore serving docstring
* Update int support test to check the input signature
* Make sure other tests also use model.input_signature and not serving.input_signature
* Restore _prune_signature
* Remove the doctest GC now it's no longer needed
* Correct core tests to use the pruned sig
* order lines correctly in core tests
* Add eager_serving back with a deprecation warning
* mixed precision support via accelerate
* fix issues
* fix for the sharded ddp case
* fix flax and tf failing tests
* `refactor the place to create `Accelerator` object
* move ddp prep to accelerate
* fix 😅
* resolving comments
* move fsdp handling to accelerate
* fixex
* fix saving
* shift torch dynamo handling to accelerate
* shift deepspeed integration and save & load utils to accelerate
* fix accelerate launcher support
* oops
* fix 🐛
* save ckpt fix
* Trigger CI
* nasty 🐛😅
* as deepspeed needs grad_acc fixes, transfer grad_acc to accelerate
* make tests happy
* quality ✨
* loss tracked needs to account for grad_acc
* fixing the deepspeed tests
* quality ✨
* 😅😅😅
* tests 😡
* quality ✨
* Trigger CI
* resolve comments and fix the issue with the previous merge from branch
* Trigger CI
* accelerate took over deepspeed integration
---------
Co-authored-by: Stas Bekman <stas@stason.org>
* Remove nestedness in tool config
* Really do it
* Use remote tools descriptions
* Work
* Clean up eval
* Changes
* Tools
* Tools
* tool
* Fix everything
* Use last result/assign for evaluation
* Prompt
* Remove hardcoded selection
* Evaluation for chat agents
* correct some spelling
* Small fixes
* Change summarization model (#23172)
* Fix link displayed
* Update description of the tool
* Fixes in chat prompt
* Custom tools, custom prompt
* Tool clean up
* save_pretrained and push_to_hub for tool
* Fix init
* Tests
* Fix tests
* Tool save/from_hub/push_to_hub and tool->load_tool
* Clean push_to_hub and add app file
* Custom inference API for endpoints too
* Clean up
* old remote tool and new remote tool
* Make a requirements
* return_code adds tool creation
* Avoid redundancy between global variables
* Remote tools can be loaded
* Tests
* Text summarization tests
* Quality
* Properly mark tests
* Test the python interpreter
* And the CI shall be green.
* fix loading of additional tools
* Work on RemoteTool and fix tests
* General clean up
* Guard imports
* Fix tools
* docs: Fix broken link in 'How to add a model...' (#23216)
fix link
* Get default endpoint from the Hub
* Add guide
* Simplify tool config
* Docs
* Some fixes
* Docs
* Docs
* Docs
* Fix code returned by agent
* Try this
* Match args with signature in remote tool
* Should fix python interpreter for Python 3.8
* Fix push_to_hub for tools
* Other fixes to push_to_hub
* Add API doc page
* Docs
* Docs
* Custom tools
* Pin tensorflow-probability (#23220)
* Pin tensorflow-probability
* [all-test]
* [all-test] Fix syntax for bash
* PoC for some chaining API
* Text to speech
* J'ai pris des libertés
* Rename
* Basic python interpreter
* Add agents
* Quality
* Add translation tool
* temp
* GenQA + LID + S2T
* Quality + word missing in translation
* Add open assistance, support f-strings in evaluate
* captioning + s2t fixes
* Style
* Refactor descriptions and remove chain
* Support errors and rename OpenAssistantAgent
* Add setup
* Deal with typos + example of inference API
* Some rename + README
* Fixes
* Update prompt
* Unwanted change
* Make sure everyone has a default
* One prompt to rule them all.
* SD
* Description
* Clean up remote tools
* More remote tools
* Add option to return code and update doc
* Image segmentation
* ControlNet
* Gradio demo
* Diffusers protection
* Lib protection
* ControlNet description
* Cleanup
* Style
* Remove accelerate and try to be reproducible
* No randomness
* Male Basic optional in token
* Clean description
* Better prompts
* Fix args eval in interpreter
* Add tool wrapper
* Tool on the Hub
* Style post-rebase
* Big refactor of descriptions, batch generation and evaluation for agents
* Make problems easier - interface to debug
* More problems, add python primitives
* Back to one prompt
* Remove dict for translation
* Be consistent
* Add prompts
* New version of the agent
* Evaluate new agents
* New endpoints agents
* Make all tools a dict variable
* Typo
* Add problems
* Add to big prompt
* Harmonize
* Add tools
* New evaluation
* Add more tools
* Build prompt with tools descriptions
* Tools on the Hub
* Let's chat!
* Cleanup
* Temporary bs4 safeguard
* Cache agents and clean up
* Blank init
* Fix evaluation for agents
* New format for tools on the Hub
* Add method to reset state
* Remove nestedness in tool config
* Really do it
* Use remote tools descriptions
* Work
* Clean up eval
* Changes
* Tools
* Tools
* tool
* Fix everything
* Use last result/assign for evaluation
* Prompt
* Remove hardcoded selection
* Evaluation for chat agents
* correct some spelling
* Small fixes
* Change summarization model (#23172)
* Fix link displayed
* Update description of the tool
* Fixes in chat prompt
* Custom tools, custom prompt
* Tool clean up
* save_pretrained and push_to_hub for tool
* Fix init
* Tests
* Fix tests
* Tool save/from_hub/push_to_hub and tool->load_tool
* Clean push_to_hub and add app file
* Custom inference API for endpoints too
* Clean up
* old remote tool and new remote tool
* Make a requirements
* return_code adds tool creation
* Avoid redundancy between global variables
* Remote tools can be loaded
* Tests
* Text summarization tests
* Quality
* Properly mark tests
* Test the python interpreter
* And the CI shall be green.
* Work on RemoteTool and fix tests
* fix loading of additional tools
* General clean up
* Guard imports
* Fix tools
* Get default endpoint from the Hub
* Simplify tool config
* Add guide
* Docs
* Some fixes
* Docs
* Docs
* Fix code returned by agent
* Try this
* Docs
* Match args with signature in remote tool
* Should fix python interpreter for Python 3.8
* Fix push_to_hub for tools
* Other fixes to push_to_hub
* Add API doc page
* Fixes
* Doc fixes
* Docs
* Fix audio
* Custom tools
* Audio fix
* Improve custom tools docstring
* Docstrings
* Trigger CI
* Mode docstrings
* More docstrings
* Improve custom tools
* Fix for remote tools
* Style
* Fix repo consistency
* Quality
* Tip
* Cleanup on doc
* Cleanup toc
* Add disclaimer for starcoder vs openai
* Remove disclaimer
* Small fixed in the prompts
* 4.29
* Update src/transformers/tools/agents.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
* Complete documentation
* Small fixes
* Agent evaluation
* Note about gradio-tools & LC
* Clean up agents and prompt
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* Note about gradio-tools & LC
* Add copyrights and address review comments
* Quality
* Add all language codes
* Add remote tool tests
* Move custom prompts to other docs
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* TTS tests
* Quality
---------
Co-authored-by: Lysandre <hi@lyand.re>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com>
Co-authored-by: Connor Henderson <connor.henderson@talkiatry.com>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre <lysandre@huggingface.co>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* resolve conflicts
* rebase and make style
* test
* test
* test
* rebase and make style
* rebase and make style
* tests
* tests
* rewrite some functions
* rebase and make style
* fix load_tf_weights_in_cpmant
* reformat some unrelated files
* upgrade quality
* fix some bugs & docstring
* add models and tests
* solve conflicts
* resolve conflicts
* resolve conflicts
* resolve conflicts
* resolve conflicts
* tests
* resolve conflicts
* resolve conflicts
* fix load_tf_weights_in_cpmant
* reformat some unrelated files
* upgrade quality
* fix some bugs & docstring
* save resolution
* make style
* delete redefinition code
* reformat function
* reformat
* resolve conflicts
* resolve conflicts
* resolve conflicts
* resolve conflicts
* resolve conflicts
* tests
* resolve conflicts
* resolve conflicts
* fix load_tf_weights_in_cpmant
* reformat some unrelated files
* upgrade quality
* resolve conflicts
* resolve conflicts
* resolve conflicts
* resolve conflicts
* resolve conflicts
* fix load_tf_weights_in_cpmant
* reformat some unrelated files
* upgrade quality
* resolve conflicts
* make style
* fix bugs and refactor
* modify docstrings and make style
* unify import format in __init__.py
* fix import-altclp bug
* fix copies to update index.md
* fix unused config parameters
* fix unused config parameters
* fix unused config parameters
* update README_ja.md
* dummy commit for unit test
* fix attention mask
* add CPMAntTokenizer&-Fast to auto-mapping
* drop redundant changes in README_ko
* fix defaults in docstring
* fix use_cache and some docstring
* add missing args in tokenizer
* modify tester inheritance
* add is_jieba_available
* fix some bugs
* make style and fix-copies
* add doctests
* skip integration tests
* add is_jieba_available
* fix bugs in common tests
* adjust docstrings and make style
* add argument docstring
* adjust code to some specifications
* make style and fix-copies
* add fast tokenization test
* dummy commit for unit test
* dummy commit for unit test
* dummy commit for unit test
* normalize some comments and names
* Bert->CPMAnt
* camel names and drop redundant codes
* make style and fix-coies
* add CpmTokenizerFast _import_structure
* drop cpmanttokenizerfast in model_doc
* fix some problems
* fix CPMAnt tokenization for common test
* make style and fixup
* fix copies and fixup
* fix bugs in tokenization test
* dummy commit for connection failure in unittest
* fix copies
* drop trailing comma
* fix decorator in tests
* dummy commit for connection failure in unittest
---------
Co-authored-by: Gong Baitao <gongbaitao11@gmail.com>
* [setup] drop deprecated `distutils` usage
* drop deprecated `distutils.util.strtobool` usage
* fix import order
* reformat docstring by `doc-builder`
* 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
* [FT] First commit for graphormer architecture.
The model has no tokenizer, as it uses a collator and preprocessing function for its input management.
Architecture to be tested against original one.
The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read.
TODO: doc
* [FIX] removed test model
* [FIX] import error
* [FIX] black and flake
* [DOC] added paper refs
* [FIX] [DOC]
* [FIX] black
* [DOC] Updated READMEs
* [FIX] Order of imports + rm Tokenizer calls
* [FIX] Moved assert in class to prevent doc build failure
* [FIX] make fix-copies
* [Doc] update from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [FIX] Removed Graphormer from Sequence classification model list
* [DOC] Added HF copyright to Cython file
* [DOC] Fixed comments
* [FIX] typos in class doc + removed config classes.
Todo: update doc from paper definitions
* [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management
* [FIX] Homogeneized initialization of weights to pretrained constructor
* [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation
* [DOC] Relevant parameter description in the configuration file
* [DOC] Updated doc and comments in main graphormer file
* [FIX] make style and quality checks
* [DOC] Fix doc format
* [FIX] [WIP] Updated part of the tests, though still a wip
* [FIX] [WIP]
* [FIX] repo consistency
* [FIX] Changed input names for more understandability
* [FIX] [BUG] updated num_classes params for propagation in the model
* simplified collator
* [FIX] Updated tests to follow new naming pattern
* [TESTS] Updated test suite along with model
* |FIX] rm tokenizer import
* [DOC] add link to graphormerdoc
* Changed section in doc from text model to graph model
* Apply suggestions from code review
Spacing, inits
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* [DOC] Explain algos_graphormer functions
* Cython soft import protection
* Rm call to Callable in configuration graphormer
* [FIX] replaced asserts with Exceptions
* Add org to graphormer checkpoints
* Prefixed classes with Graphormer
* Management of init functions
* format
* fixes
* fix length file
* update indent
* relaunching ci
* Errors for missing cython imports
* fix style
* fix style doc
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Add XLA torchrun support
* Clarify that currently DDP doesn't work with torch.distributed XLA backend yet
* Enable DDP with torchrun and XLA (now available in PT-XLA 1.13)
* Add check for AWS Neuron availability and AWS Neuron specific compiler flag
* Change the new test's name to TestTrainerDistributedNeuronCore
* Remove "assert" and replace raised exception
* Remove compiler flag as it is optional. If needed, will be another PR.
* Use TORCHELASTIC_RUN_ID to determine whether torchrun is used
* Add DiNAT
* Adds DiNAT + tests
* Minor fixes
* Added HF model
* Add natten to dependencies.
* Cleanup
* Minor fixup
* Reformat
* Optional NATTEN import.
* Reformat & add doc to _toctree
* Reformat (finally)
* Dummy objects for DiNAT
* Add NAT + minor changes
Adds NAT as its own independent model + docs, tests
Adds NATTEN to ext deps to ensure ci picks it up.
* Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests
* Minor fixes.
* Fix READMEs.
* Requested changes to docs + minor fixes.
* Requested changes.
* Add NAT/DiNAT tests to layoutlm_job
* Correction to Dinat doc.
* Requested changes.
This PR (https://github.com/huggingface/transformers/pull/19367) introduced a few breaking changes:
- Removed an argument `mask_threshold`.
- Broke the default behavior (instance vs panoptic in the function call)
https://github.com/huggingface/transformers/pull/19367/files#diff-60f846b86fb6a21d4caf60f5b3d593a04accb8f248de3029cccae2ff898c5bc3R119-R120
- Broke the actual masks: https://github.com/huggingface/transformers/pull/1961
This PR is the start of a handful that will aim at bringing back the old
behavior(s).
- tests should not have to specify `task` by default, unless we want to
modify the behavior and have a lower form of segmentation running)
- `test_small_model_pt` should be working.
This specific PR starts with adding more information to the masks hash
because missing the actual mask was actual easy to miss (the hashes do
change, but it was easy to miss that one code path wasn't properly
updated).
So we go from a simple `hash` to
```
{"hash": #smaller hash, "shape": (h, w), "white_pixels": n}
```
The `shape` should help make sure the interpolation of the mask works
correctly, the `white_pixels` hopefully helps detect big regressions in
their amount when the hash gets modified.
* Rework pipeline tests
* Try to fix Flax tests
* Try to put it before
* Use a new decorator instead
* Remove ignore marker since it doesn't work
* Filter pipeline tests
* Woopsie
* Use the fitlered list
* Clean up and fake modif
* Remove init
* Revert fake modif
