* Use `deformable_detr` kernel from the Hub
Remove the `deformable_detr` kernel from `kernels/` and use the
pre-built kernel from the Hub instead.
* Add license header
* Add `kernels` as an extra `hub-kernels`
Also add it to `testing`, so that the kernel replacement gets tested
when using CUDA in CI.
* supersede paligemma forward to shift pos id indexing
* fix prepare_inputs_ as well
* fix modular error
---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Make ViT Pooler configurable, so that it is possible to pick the activation function and the number of channels in the output
* Add documentation and allow functions as activations (instead of just string)
* formatting change
* Use ACT2FN
* Formatting change
* Formatting changes
* force pooler_act to be string
* force pooler_act to be string
* Add configs to OBJECTS_TO_IGNORE to make check_docstrings happy
* Making the same change in ijepa to make check_modular_conversion happy
* Add IJepaConfig to make CI happy
* rename pooler_size to pooler_output_size as defined in the config
* typo
* revert change to ignore variable
* Ran utils/check_docstrings.py --fix_and_overwrite
* revert unrelated change
* remove redundant defaults
* rename self.act -> self.activation
* tanh activation function in mapping
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* chore: fix typos in the tests
* fix: format codes
* chore: fix copy mismatch issue
* fix: format codes
* chore: fix copy mismatch issue
* chore: fix copy mismatch issue
* chore: fix copy mismatch issue
* chore: restore previous words
* chore: revert unexpected changes
The _fsdp_qlora_plugin_updates checks for LoraConfig but other PEFT
methods can also support quantized models, e.g. VeRA. Therefore, the
isinstance check is now looking for PeftConfig in general.
Moreover, the fsdp_plugin variable may be undefined in the 2nd if
condition, leading to an `UnboundLocalError` error. This is fixed by not
assigning the variable at all.
I checked for tests that may need updating but only found
test_fsdp_config_transformers_auto_wrap associated with this change.
AFAICT, this test does not cover the changed code, since the test does
not start the training loop. Therefore, I haven't updated any tests. LMK
if/how this fix should be tested.
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* no image
* test
* revert jax version updates
* make fixup
* update autodoc path for model_addition_debugger
* shieldgemma2
* add missing pages to toctree
* draft of model tracer visualiser
* add context manager in addition to decorator
* add debug utils to init
* move model debugging utils to dedicated file
* add documentation
* protect some imports
* format
* move and protect imports
* format
* doc: improve errors in case of broken dummy imports.
* format
* use automatic torch backend
* update doc
* fix backend
* (TEMP) move to dummies while backend wait
* update documentation
* doc
* add prompt depth anything model by modular transformer
* add prompt depth anything docs and imports
* update code style according transformers doc
* update code style: import order issue is fixed by custom_init_isort
* fix depth shape from B,1,H,W to B,H,W which is as the same as Depth Anything
* move prompt depth anything to vision models in _toctree.yml
* update backbone test; there is no need for resnet18 backbone test
* update init file & pass RUN_SLOW tests
* update len(prompt_depth) to prompt_depth.shape[0]
Co-authored-by: Joshua Lochner <admin@xenova.com>
* fix torch_int/model_doc
* fix typo
* update PromptDepthAnythingImageProcessor
* fix typo
* fix typo for prompt depth anything doc
* update promptda overview image link of huggingface repo
* fix some typos in promptda doc
* Update image processing to include pad_image, prompt depth position, and related explanations for better clarity and functionality.
* add copy disclaimer for prompt depth anything image processing
* fix some format typos in image processing and conversion scripts
* fix nn.ReLU(False) to nn.ReLU()
* rename residual layer as it's a sequential layer
* move size compute to a separate line/variable for easier debug in modular prompt depth anything
* fix modular format for prompt depth anything
* update modular prompt depth anything
* fix scale to meter and some internal funcs warp
* fix code style in image_processing_prompt_depth_anything.py
* fix issues in image_processing_prompt_depth_anything.py
* fix issues in image_processing_prompt_depth_anything.py
* fix issues in prompt depth anything
* update converting script similar to mllamma
* update testing for modeling prompt depth anything
* update testing for image_processing_prompt_depth_anything
* fix assertion in image_processing_prompt_depth_anything
* Update src/transformers/models/prompt_depth_anything/modular_prompt_depth_anything.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Update src/transformers/models/prompt_depth_anything/modular_prompt_depth_anything.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Update src/transformers/models/prompt_depth_anything/image_processing_prompt_depth_anything.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Update src/transformers/models/prompt_depth_anything/image_processing_prompt_depth_anything.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Update src/transformers/models/prompt_depth_anything/image_processing_prompt_depth_anything.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Update docs/source/en/model_doc/prompt_depth_anything.md
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Update docs/source/en/model_doc/prompt_depth_anything.md
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* update some testing
* fix testing
* fix
* add return doc for forward of prompt depth anything
* Update src/transformers/models/prompt_depth_anything/modular_prompt_depth_anything.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Update tests/models/prompt_depth_anything/test_modeling_prompt_depth_anything.py
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* fix prompt depth order
* fix format for testing prompt depth anything
* fix minor issues in prompt depth anything doc
* fix format for modular prompt depth anything
* revert format for modular prompt depth anything
* revert format for modular prompt depth anything
* update format for modular prompt depth anything
* fix parallel testing errors
* fix doc for prompt depth anything
* Add header
* Fix imports
* Licence header
---------
Co-authored-by: Joshua Lochner <admin@xenova.com>
Co-authored-by: Pavel Iakubovskii <qubvel@gmail.com>
* Remove deprecated arguments for jax.numpy.clip.
* Remove deprecated arguments for jax.numpy.clip.
* Update jax version to 0.4.27 to 0.4.38.
* Avoid use of deprecated xla_bridge.get_backend().platform
Co-authored-by: Jake Vanderplas <jakevdp@google.com>
---------
Co-authored-by: Jake Vanderplas <jakevdp@google.com>
* feat: Saving tokenizer in collator when processing_class is None
* chore: Style issue
* chore: Typo
* dbg: Check why test failed
* dbg: Remove logics and another test failed which successed before, so should be the stablibility issue
* test: Init unit-test
* chore: Style
* chore: Add err log
* fix: Case
* Update tests/trainer/test_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* chore: Try to use get_regression_trainer
* fix: Impl and style
* fix: Style
* fix: Case
* fix: Import err
* fix: Missed import
* fix: Import block un-sorted problem
* fix: Try another tokenizer
* fix: Test logic
* chore: Light updates
* chore: Reformat
---------
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Disable inductor config setter by default
This is hard to debug and should be off by default
* remove default settings in autoquant too
* Add info to torchao.md about recommended settings
* satisfying Ruff format
Summary:
Test Plan:
Reviewers:
Subscribers:
Tasks:
Tags:
---------
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Just import torch AdamW instead
* Update docs too
* Make AdamW undocumented
* make fixup
* Add a basic wrapper class
* Add it back to the docs
* Just remove AdamW entirely
* Remove some AdamW references
* Drop AdamW from the public init
* make fix-copies
* Cleanup some references
* make fixup
* Delete lots of transformers.AdamW references
* Remove extra references to adamw_hf
