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  1. 07 Sep, 2022 1 commit
  3. 06 Sep, 2022 2 commits
  5. 05 Sep, 2022 2 commits
  7. 02 Sep, 2022 4 commits
  9. 01 Sep, 2022 3 commits
  11. 31 Aug, 2022 4 commits
  13. 30 Aug, 2022 5 commits
  15. 29 Aug, 2022 3 commits
  17. 26 Aug, 2022 2 commits
  19. 25 Aug, 2022 2 commits
    • Craig Chan's avatar
      Determine framework automatically before ONNX export (#18615) · fbf382c8
      Craig Chan authored 
      

* Automatic detection for framework to use when exporting to ONNX

* Log message change

* Incorporating PR comments, adding unit test

* Adding tf for pip install for run_tests_onnxruntime CI

* Restoring past changes to circleci yaml and test_onnx_v2.py, tests moved to tests/onnx/test_features.py

* Fixup

* Adding test to fetcher

* Updating circleci config to log more

* Changing test class name

* Comment typo fix in tests/onnx/test_features.py
Co-authored-by: default avatarlewtun <lewis.c.tunstall@gmail.com>

* Moving torch_str/tf_str to self.framework_pt/tf

* Remove -rA flag in circleci config
Co-authored-by: default avatarlewtun <lewis.c.tunstall@gmail.com>
      fbf382c8
    • Patrick Deutschmann's avatar
      Add ONNX support for Longformer (#17176) · 3223d493
      Patrick Deutschmann authored 
      * Implement ONNX support for Longformer

Fix repo consistency check complaints

Fix value mismatches

Add pooler output for default model

Increase validation atol to accommodate multiple-choice error

Fix copies

Fix chunking for longer sequence lengths

Add future comment

* Fix issue in mask_invalid_locations

* Remove torch imports in configuration_longformer

* Change config access to fix LED

* Push opset version to support tril

* Work in review comments (mostly style)

* Add Longformer to ONNX tests
      3223d493
  21. 24 Aug, 2022 2 commits
  23. 22 Aug, 2022 1 commit
  25. 19 Aug, 2022 1 commit
  27. 18 Aug, 2022 2 commits
  29. 17 Aug, 2022 2 commits
    • amyeroberts's avatar
      Update feature extractor methods to enable type cast before normalize (#18499) · 49e44b21
      amyeroberts authored 
      * Update methods to optionally rescale
This is necessary to allow for casting our images / videos to numpy arrays within the feature extractors' call. We want to do this to make sure the behaviour is as expected when flags like  are False. If some transformations aren't applied, then the output type can't be unexpected e.g. a list of PIL images instead of numpy arrays.

* Cast images to numpy arrays in call to enable consistent behaviour with different configs

* Remove accidental clip changes

* Update tests to reflect the scaling logic
We write a generic  function to handle rescaling of our arrays. In order for the API to be intuitive, we take some factor c and rescale the image values by that. This means, the rescaling done in normalize and to_numpy_array are now done with array * (1/255) instead of array / 255. This leads to small differences in the resulting image. When testing, this was in the order of 1e-8, and so deemed OK
      49e44b21
    • Yih-Dar's avatar
      Fix Yolos ONNX export test (#18606) · c99e9846
      Yih-Dar authored 
      
Co-authored-by: default avatarlewtun <lewis.c.tunstall@gmail.com>
Co-authored-by: default avatarydshieh <ydshieh@users.noreply.github.com>
      c99e9846
  31. 16 Aug, 2022 1 commit
  33. 12 Aug, 2022 3 commits
    • Younes Belkada's avatar
      small change (#18584) · 1ccd2515
      Younes Belkada authored
      1ccd2515
    • Niklas Muennighoff's avatar
      Update BLOOM parameter counts (#18531) · 56ef0ba4
      Niklas Muennighoff authored 
      * Update BLOOM parameter counts

* Update BLOOM parameter counts
      56ef0ba4
    • NielsRogge's avatar
      Add Donut (#18488) · 2ab790e8
      NielsRogge authored 
      

* First draft

* Improve script

* Update script

* Make conversion work

* Add final_layer_norm attribute to Swin's config

* Add DonutProcessor

* Convert more models

* Improve feature extractor and convert base models

* Fix bug

* Improve integration tests

* Improve integration tests and add model to README

* Add doc test

* Add feature extractor to docs

* Fix integration tests

* Remove register_buffer

* Fix toctree and add missing attribute

* Add DonutSwin

* Make conversion script work

* Improve conversion script

* Address comment

* Fix bug

* Fix another bug

* Remove deprecated method from docs

* Make Swin and Swinv2 untouched

* Fix code examples

* Fix processor

* Update model_type to donut-swin

* Add feature extractor tests, add token2json method, improve feature extractor

* Fix failing tests, remove integration test

* Add do_thumbnail for consistency

* Improve code examples

* Add code example for document parsing

* Add DonutSwin to MODEL_NAMES_MAPPING

* Add model to appropriate place in toctree

* Update namespace to appropriate organization
Co-authored-by: default avatarNiels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
      2ab790e8