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  1. 18 Oct, 2022 4 commits
  3. 17 Oct, 2022 5 commits
  5. 14 Oct, 2022 3 commits
  7. 12 Oct, 2022 1 commit
  9. 11 Oct, 2022 3 commits
  11. 08 Oct, 2022 1 commit
  13. 07 Oct, 2022 3 commits
    • Sylvain Gugger's avatar
      Rework pipeline tests (#19366) · 9ac586b3
      Sylvain Gugger authored 
      * 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
      9ac586b3
    • Alara Dirik's avatar
      Improve and fix ImageSegmentationPipeline (#19367) · 983451a1
      Alara Dirik authored 
      - Fixes the image segmentation pipeline test failures caused by changes to the postprocessing methods of supported models
- Updates the ImageSegmentationPipeline tests
- Improves docs, adds 'task' argument to optionally perform semantic, instance or panoptic segmentation
      983451a1
    • Amrit Sahu's avatar
      [WIP] Add ZeroShotObjectDetectionPipeline (#18445) (#18930) · e9a49bab
      Amrit Sahu authored 
      * Add ZeroShotObjectDetectionPipeline (#18445)

* Add AutoModelForZeroShotObjectDetection task

This commit also adds the following

- Add explicit _processor method for ZeroShotObjectDetectionPipeline.
  This is necessary as pipelines don't auto infer processors yet and
  `OwlVitProcessor` wraps tokenizer and feature_extractor together, to
  process multiple images at once

- Add auto tests and other tests for ZeroShotObjectDetectionPipeline

* Add AutoModelForZeroShotObjectDetection task

This commit also adds the following

- Add explicit _processor method for ZeroShotObjectDetectionPipeline.
  This is necessary as pipelines don't auto infer processors yet and
  `OwlVitProcessor` wraps tokenizer and feature_extractor together, to
  process multiple images at once

- Add auto tests and other tests for ZeroShotObjectDetectionPipeline

* Add batching for ZeroShotObjectDetectionPipeline

* Fix doc-string ZeroShotObjectDetectionPipeline

* Fix output format: ZeroShotObjectDetectionPipeline
      e9a49bab
  15. 05 Oct, 2022 2 commits
  17. 30 Sep, 2022 1 commit
  19. 29 Sep, 2022 1 commit
  21. 20 Sep, 2022 1 commit
  23. 15 Sep, 2022 1 commit
    • amyeroberts's avatar
      Update image segmentation pipeline test (#18731) · 30a28f52
      amyeroberts authored 
      * Updated test values

The image segmentation pipeline tests - tests/pipelines/test_pipelines_image_segmentation.py - were failing after the merging of #1849  (49e44b21). This was due to the difference in rescaling. Previously the images were rescaled by `image = image / 255`. In the new commit, a `rescale` method was added, and images rescaled using `image = image * scale`. This was known to cause small differences in the processed images (see
[PR comment](https://github.com/huggingface/transformers/pull/18499#discussion_r940347575)).

Testing locally, changing the `rescale` method to divide by a scale factor (255) resulted in the tests passing. It was therefore decided the test values could be updated, as there was no logic difference between the commits.

* Use double quotes, like previous example

* Fix up
      30a28f52
  25. 14 Sep, 2022 2 commits
    • Yih-Dar's avatar
      Fix `DocumentQuestionAnsweringPipelineTests` (#19023) · 6a9726ec
      Yih-Dar authored 
      

* Fix DocumentQuestionAnsweringPipelineTests
Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      6a9726ec
    • NielsRogge's avatar
      Add Deformable DETR (#17281) · 59407bbe
      NielsRogge authored 
      

* First draft

* More improvements

* Improve model, add custom CUDA code

* Import torch before

* Add script that imports custom layer

* Add everything in new ops directory

* Import custom layer in modeling file

* Fix ARCHIVE_MAP typo

* Creating the custom kernel on the fly.

* Import custom layer in modeling file

* More improvements

* Fix CUDA loading

* More improvements

* Improve conversion script

* Improve conversion script

* Make it work until encoder_outputs

* Make forward pass work

* More improvements

* Make logits match original implementation

* Make implementation also support single_scale model

* Add support for single_scale and dilation checkpoint

* Add support for with_box_refine model

* Support also two stage model

* Improve tests

* Fix more tests

* Make more tests pass

* Upload all models to the hub

* Clean up some code

* Improve decoder outputs

* Rename intermediate hidden states and reference points

* Improve model outputs

* Move tests to dedicated folder

* Improve model outputs

* Fix retain_grad test

* Improve docs

* Clean up and make test_initialization pass

* Improve variable names

* Add copied from statements

* Improve docs

* Fix style

* Improve docs

* Improve docs, move tests to model folder

* Fix rebase

* Remove DetrForSegmentation from auto mapping

* Apply suggestions from code review

* Improve variable names and docstrings

* Apply some more suggestions from code review

* Apply suggestion from code review

* better docs and variables names

* hint to num_queries and two_stage confusion

* remove asserts and code refactor

* add exception if two_stage is True and with_box_refine is False

* use f-strings

* Improve docs and variable names

* Fix code quality

* Fix rebase

* Add require_torch_gpu decorator

* Add pip install ninja to CI jobs

* Apply suggestion of @sgugger

* Remove DeformableDetrForObjectDetection from auto mapping

* Remove DeformableDetrModel from auto mapping

* Add model to toctree

* Add model back to mappings, skip model in pipeline tests

* Apply @sgugger's suggestion

* Fix imports in the init

* Fix copies

* Add CPU implementation

* Comment out GPU function

* Undo previous change

* Apply more suggestions

* Remove require_torch_gpu annotator

* Fix quality

* Add logger.info

* Fix logger

* Fix variable names

* Fix initializaztion

* Add missing initialization

* Update checkpoint name

* Add model to doc tests

* Add CPU/GPU equivalence test

* Add Deformable DETR to pipeline tests

* Skip model for object detection pipeline
Co-authored-by: default avatarNicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: default avatarNouamane Tazi <nouamane98@gmail.com>
Co-authored-by: default avatarSylvain Gugger <Sylvain.gugger@gmail.com>
      59407bbe
  27. 07 Sep, 2022 1 commit
    • Ankur Goyal's avatar
      Add DocumentQuestionAnswering pipeline (#18414) · 2ef77421
      Ankur Goyal authored 
      

* [WIP] Skeleton of VisualQuestionAnweringPipeline extended to support LayoutLM-like models

* Fixup

* Use the full encoding

* Basic refactoring to DocumentQuestionAnsweringPipeline

* Cleanup

* Improve args, docs, and implement preprocessing

* Integrate OCR

* Refactor question_answering pipeline

* Use refactored QA code in the document qa pipeline

* Fix tests

* Some small cleanups

* Use a string type annotation for Image.Image

* Update encoding with image features

* Wire through the basic docs

* Handle invalid response

* Handle empty word_boxes properly

* Docstring fix

* Integrate Donut model

* Fixup

* Incorporate comments

* Address comments

* Initial incorporation of tests

* Address Comments

* Change assert to ValueError

* Comments

* Wrap `score` in float to make it JSON serializable

* Incorporate AutoModeLForDocumentQuestionAnswering changes

* Fixup

* Rename postprocess function

* Fix auto import

* Applying comments

* Improve docs

* Remove extra assets and add copyright

* Address comments
Co-authored-by: default avatarAnkur Goyal <ankur@impira.com>
      2ef77421
  29. 06 Sep, 2022 1 commit
  31. 02 Sep, 2022 1 commit
  33. 01 Sep, 2022 1 commit
    • OlivierDehaene's avatar
      Add Image To Text Generation pipeline (#18821) · ddb69e5a
      OlivierDehaene authored 
      

* Add Image2TextGenerationPipeline to supported pipelines

* Add Flax and Tensorflow support

* Add Flax and Tensorflow small tests

* Add default model for Tensorflow

* Add docstring

* Fix doc style

* Add tiny models for pytorch and flax

* Remove flax from pipeline.
Fix tests

* Use ydshieh/vit-gpt2-coco-en as a default for both PyTorch and Tensorflow

* Fix Tensorflow support
Co-authored-by: default avatarOlivier Dehaene <olivier@huggingface.co>
      ddb69e5a
  35. 10 Aug, 2022 1 commit
  37. 09 Aug, 2022 1 commit
  39. 08 Aug, 2022 1 commit
    • Nicolas Patry's avatar
      [DX fix] Fixing QA pipeline streaming a dataset. (#18516) · a4562552
      Nicolas Patry authored 
      * [DX fix] Fixing QA pipeline streaming a dataset.

QuestionAnsweringArgumentHandler would iterate over the whole dataset
effectively killing all properties of the pipeline.
This restores nice properties when using `Dataset` or `Generator` since
those are meant to be consumed lazily.

* Handling TF better.
      a4562552
  41. 05 Aug, 2022 3 commits
    • Yih-Dar's avatar
      Fix `test_dbmdz_english` by updating expected values (#18482) · 280db2e3
      Yih-Dar authored 
      
Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      280db2e3
    • Sylvain Gugger's avatar
      Fix pipeline tests (#18487) · 70fa1a8d
      Sylvain Gugger authored 
      * Fix pipeline tests

* Make sure all pipelines tests run with init changes
      70fa1a8d
    • Nicolas Patry's avatar
      Fixing issue where generic model types wouldn't load properly with the pipeline (#18392) · 586dcf6b
      Nicolas Patry authored 
      * Adding a better error message when the model is improperly configured

within transformers.

* Update src/transformers/pipelines/__init__.py

* Black version.

* Overriding task aliases so that tokenizer+feature_extractor

values are correct.

* Fixing task aliases by overriding their names early

* X.

* Fixing feature-extraction.

* black again.

* Normalizing `translation` too.

* Fixing last few corner cases.

translation need to use its non normalized name (translation_XX_to_YY,
so that the task_specific_params are correctly overloaded).
This can be removed and cleaned up in a later PR.

`speech-encode-decoder` actually REQUIRES to pass a `tokenizer` manually
so the error needs to be discarded when the `tokenizer` is already
there.

* doc-builder fix.

* Fixing the real issue.

* Removing dead code.

* Do not import the actual config classes.
      586dcf6b
  43. 02 Aug, 2022 1 commit
    • David's avatar
      Update pipeline word heuristic to work with whitespace in token offsets (#18402) · 042f4203
      David authored 
      * Update pipeline word heuristic to work with whitespace in token offsets

This change checks for whitespace in the input string at either the
character preceding the token or in the first character of the token.
This works with tokenizers that return offsets excluding whitespace
between words or with offsets including whitespace.

fixes #18111

starting

* Use smaller model, ensure expected tokenization

* Re-run CI (please squash)
      042f4203
  45. 19 Jul, 2022 1 commit