* Fix gradient_checkpointing backward compatibility
* Remove needless line
* make sure mask prob is big enough and length small enough
* Fix tests
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>
* Fix of issue #13327: Wrong weight initialization for TF t5 model
* run black formatter
* fix typo
* remove my name tag from comments
Co-authored-by: Shirron <dan.shirron@intel.com>
* Fixing image segmentation for inference mode.
* Update src/transformers/pipelines/base.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
* First draft
* Make tuple output more readable
* Replace assertions by value errors
* Make it possible to predict_with_generate for vision and speech models
* Adapt Seq2SeqTrainer to work with VisionEncoderDecoder/SpeechEncoderDecoder
* Add deprecation warning
* Add copied from statements to vision and speech encoder decoders
* Fix failing test
* Apply @patrickvonplaten's suggestion
* Use reshape instead of view for consistency
* First draft
* Make style & quality
* Improve conversion script
* Add print statement to see actual slice
* Make absolute tolerance smaller
* Fix image classification models
* Add post_process_semantic method
* Disable padding
* Improve conversion script
* Rename to ForSemanticSegmentation, add integration test, remove post_process methods
* Improve docs
* Fix code quality
* Fix feature extractor tests
* Fix tests for image classification model
* Delete file
* Add is_torch_available to feature extractor
* Improve documentation of feature extractor methods
* Apply suggestions from @sgugger's code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Apply some more suggestions of code review
* Rebase with master
* Fix rebase issues
* Make sure model only outputs hidden states when the user wants to
* Apply suggestions from code review
* Add pad method
* Support padding of 2d images
* Add print statement
* Add print statement
* Move padding method to SegformerFeatureExtractor
* Fix issue
* Add casting of segmentation maps
* Add test for padding
* Add small note about padding
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* unispeech
* add copy from
* remove hubert copy from
* finish for today
* add unispeech-sat
* adapt more
* up
* up
* up
* up
* add modeling
* add tests
* up
* up
* finish
* up
* Apply suggestions from code review
* up
* up
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* up
* up
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Include KerasTensor in allowed types
- This allows propagating symbolic tensors through TFBert models and layers' call(),
which allows converting the subclass models to functional models.
* Style pass
Co-authored-by: Sergio Valcarcel Macua <sergiov@graphcore.ai>
Co-authored-by: matt <rocketknight1@gmail.com>
