* 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
* add sudachipy and jumanpp tokenizers for bert_japanese
* use ImportError instead of ModuleNotFoundError in SudachiTokenizer and JumanppTokenizer
* put test cases of test_tokenization_bert_japanese in one line
* add require_sudachi and require_jumanpp decorator for testing
* add sudachi and pyknp(jumanpp) to dependencies
* remove sudachi_dict_small and sudachi_dict_full from dependencies
* empty commit for ci
* Poc to use safetensors
* Typo
* Final version
* Add tests
* Save with the right name!
* Update tests/test_modeling_common.py
Co-authored-by: Julien Chaumond <julien@huggingface.co>
* Support for sharded checkpoints
* Test from Hub part 1
* Test from hub part 2
* Fix regular checkpoint sharding
* Bump for fixes
Co-authored-by: Julien Chaumond <julien@huggingface.co>
* Add a TF in-graph tokenizer for BERT
* Add from_pretrained
* Add proper truncation, option handling to match other tokenizers
* Add proper imports and guards
* Add test, fix all the bugs exposed by said test
* Fix truncation of paired texts in graph mode, more test updates
* Small fixes, add a (very careful) test for savedmodel
* Add tensorflow-text dependency, make fixup
* Update documentation
* Update documentation
* make fixup
* Slight changes to tests
* Add some docstring examples
* Update tests
* Update tests and add proper lowercasing/normalization
* make fixup
* Add docstring for padding!
* Mark slow tests
* make fixup
* Fall back to BertTokenizerFast if BertTokenizer is unavailable
* Fall back to BertTokenizerFast if BertTokenizer is unavailable
* make fixup
* Properly handle tensorflow-text dummies
* Prepare CI for v0.8.0
* pin hfh (revert before merge)
* Revert "pin hfh (revert before merge)"
This reverts commit a0103140e1c77b810ffcb735192968bc03be3e1f.
* Test rc3
* Test latest rc
* Unpin to the RC
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>
