Skip to content

GitLab

".github/vscode:/vscode.git/clone" did not exist on "4ef85fee718969f1703d7dffa134deb72f4de828"
Switch branch/tag
  1. 30 May, 2023 1 commit
  3. 26 May, 2023 7 commits
  5. 25 May, 2023 9 commits
  7. 24 May, 2023 17 commits
    • Matt's avatar
      Remove the last few TF serving sigs (#23738) · e45e756d
      Matt authored 
      Remove some more serving methods that (I think?) turned up while this PR was open
      e45e756d
    • Sylvain Gugger's avatar
      Enable prompts on the Hub (#23662) · 9850e6dd
      Sylvain Gugger authored 
      

* Enable prompts on the Hub

* Update src/transformers/tools/prompts.py
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Address review comments

---------
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
      9850e6dd
    • Zachary Mueller's avatar
      Fix sagemaker DP/MP (#23681) · 75bbf20b
      Zachary Mueller authored 
      * Check for use_sagemaker_dp

* Add a check for is_sagemaker_mp when setting _n_gpu again. Should be last broken thing

* Try explicit check?

* Quality
      75bbf20b
    • Daniel King's avatar
      Fix the regex in `get_imports` to support multiline try blocks and excepts... · 89159651
      Daniel King authored 
      Fix the regex in `get_imports` to support multiline try blocks and excepts with specific exception types (#23725)

* fix and test get_imports for multiline try blocks, and excepts with specific errors

* fixup

* add some more tests

* add license
      89159651
    • Sanchit Gandhi's avatar
      [Whisper] Reduce batch size in tests (#23736) · d8222be5
      Sanchit Gandhi authored
      d8222be5
    • Matt's avatar
      Overhaul TF serving signatures + dummy inputs (#23234) · 814de8fa
      Matt authored 
      * Let's try autodetecting serving sigs

* Don't clobber existing sigs

* Change shapes for multiplechoice models

* Make default dummy inputs smarter too

* Fix missing f-string

* Let's YOLO a serving output too

* Read __class__.__name__ properly

* Don't just pass naked lists in there and expect it to be okay

* Code cleanup

* Update default serving sig

* Clearer error messages

* Further updates to the default serving output

* make fixup

* Update the serving output a bit more

* Cleanups and renames, raise errors appropriately when we can't infer inputs

* More renames

* we're building in a functional context again, yolo

* import DUMMY_INPUTS from the right place

* import DUMMY_INPUTS from the right place

* Support cross-attention in the dummies

* Support cross-attention in the dummies

* Complete removal of dummy/serving overrides in BERT

* Complete removal of dummy/serving overrides in RoBERTa

* Obliterate lots and lots of serving sig and dummy overrides

* merge type hint changes

* Fix for token_type_ids with vocab_size 1

* Add missing property decorator

* Fix T5 and hopefully some models that take conv inputs

* More signature pruning

* Fix T5's signature

* Fix Wav2Vec2 signature

* Fix LongformerForMultipleChoice input signature

* Fix BLIP and LED

* Better default serving output error handling

* Fix BART dummies

* Fix dummies for cross-attention, esp encoder-decoder models

* Fix visionencoderdecoder signature

* Fix BLIP serving output

* Small tweak to BART dummies

* Cleanup the ugly parameter inspection line that I used in a few places

* committed a breakpoint again

* Move the text_dims check

* Remove blip_text serving_output

* Add decoder_input_ids to the default input sig

* Remove all the manual overrides for encoder-decoder model signatures

* Tweak longformer/led input sigs

* Tweak default serving output

* output.keys() -> output

* make fixup
      814de8fa
    • Connor Henderson's avatar
      fix: Whisper generate, move text_prompt_ids trim up for max_new_tokens calculation (#23724) · 3d7baef1
      Connor Henderson authored 
      move text_prompt_ids trimming to top
      3d7baef1
    • Jungnerd's avatar
      fix: delete duplicate sentences in `document_question_answering.mdx` (#23735) · 50a56bed
      Jungnerd authored 
      fix: delete duplicate sentence
      50a56bed
    • Matt's avatar
      TF SAM memory reduction (#23732) · d2d88226
      Matt authored 
      * Extremely small change to TF SAM dummies to reduce memory usage on build

* remove debug breakpoint

* Debug print statement to track array sizes

* More debug shape printing

* More debug shape printing

* Now remove the debug shape printing

* make fixup

* make fixup
      d2d88226
    • pagarsky's avatar
      Minor awesome-transformers.md fixes (#23453) · 28aa438c
      pagarsky authored 
      Minor docs fixes
      28aa438c
    • Matt's avatar
      Better TF docstring types (#23477) · f8b25744
      Matt authored 
      * Rework TF type hints to use | None instead of Optional[] for tf.Tensor

* Rework TF type hints to use | None instead of Optional[] for tf.Tensor

* Don't forget the imports

* Add the imports to tests too

* make fixup

* Refactor tests that depended on get_type_hints

* Better test refactor

* Fix an old hidden bug in the test_keras_fit input creation code

* Fix for the Deit tests
      f8b25744
    • Wang, Yi's avatar
      fix gptj could not jit.trace in GPU (#23317) · 767e6b53
      Wang, Yi authored 
      
Signed-off-by: default avatarWang, Yi A <yi.a.wang@intel.com>
      767e6b53
    • uchuhimo's avatar
      fix: use bool instead of uint8/byte in Deberta/DebertaV2/SEW-D to make it... · b4698b7e
      uchuhimo authored 
      
fix: use bool instead of uint8/byte in Deberta/DebertaV2/SEW-D to make it compatible with TensorRT (#23683)

* Use bool instead of uint8/byte in DebertaV2 to make it compatible with TensorRT

TensorRT cannot accept onnx graph with uint8/byte intermediate tensors. This PR uses bool tensors instead of unit8/byte tensors to make the exported onnx file can work with TensorRT.

* fix: use bool instead of uint8/byte in Deberta and SEW-D

---------
Co-authored-by: default avatarYuxian Qiu <yuxianq@nvidia.com>
      b4698b7e
    • Maria Khalusova's avatar
      Export to ONNX doc refocused on using optimum, added tflite (#23434) · 2eaaf17a
      Maria Khalusova authored 
      

* doc refocused on using optimum, tflite

* minor updates to fix checks

* Apply suggestions from code review
Co-authored-by: default avatarregisss <15324346+regisss@users.noreply.github.com>

* TFLite to separate page, added links

* Removed the onnx list builder

* make style

* Update docs/source/en/serialization.mdx
Co-authored-by: default avatarregisss <15324346+regisss@users.noreply.github.com>

---------
Co-authored-by: default avatarregisss <15324346+regisss@users.noreply.github.com>
      2eaaf17a
    • Tim Dettmers's avatar
      Paged Optimizer + Lion Optimizer for Trainer (#23217) · 796162c5
      Tim Dettmers authored 
      

* Added lion and paged optimizers and made original tests pass.

* Added tests for paged and lion optimizers.

* Added and fixed optimizer tests.

* Style and quality checks.

---------
Co-authored-by: default avataryounesbelkada <younesbelkada@gmail.com>
      796162c5
    • Tim Dettmers's avatar
      4-bit QLoRA via bitsandbytes (4-bit base model + LoRA) (#23479) · 9d73b922
      Tim Dettmers authored 
      

* Added lion and paged optimizers and made original tests pass.

* Added tests for paged and lion optimizers.

* Added and fixed optimizer tests.

* Style and quality checks.

* Initial draft. Some tests fail.

* Fixed dtype bug.

* Fixed bug caused by torch_dtype='auto'.

* All test green for 8-bit and 4-bit layers.

* Added fix for fp32 layer norms and bf16 compute in LLaMA.

* Initial draft. Some tests fail.

* Fixed dtype bug.

* Fixed bug caused by torch_dtype='auto'.

* All test green for 8-bit and 4-bit layers.

* Added lion and paged optimizers and made original tests pass.

* Added tests for paged and lion optimizers.

* Added and fixed optimizer tests.

* Style and quality checks.

* Fixing issues for PR #23479.

* Added fix for fp32 layer norms and bf16 compute in LLaMA.

* Reverted variable name change.

* Initial draft. Some tests fail.

* Fixed dtype bug.

* Fixed bug caused by torch_dtype='auto'.

* All test green for 8-bit and 4-bit layers.

* Added lion and paged optimizers and made original tests pass.

* Added tests for paged and lion optimizers.

* Added and fixed optimizer tests.

* Style and quality checks.

* Added missing tests.

* Fixup changes.

* Added fixup changes.

* Missed some variables to rename.

* revert trainer tests

* revert test trainer

* another revert

* fix tests and safety checkers

* protect import

* simplify a bit

* Update src/transformers/trainer.py

* few fixes

* add warning

* replace with `load_in_kbit = load_in_4bit or load_in_8bit`

* fix test

* fix tests

* this time fix tests

* safety checker

* add docs

* revert torch_dtype

* Apply suggestions from code review
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* multiple fixes

* update docs

* version checks and multiple fixes

* replace `is_loaded_in_kbit`

* replace `load_in_kbit`

* change methods names

* better checks

* oops

* oops

* address final comments

---------
Co-authored-by: default avataryounesbelkada <younesbelkada@gmail.com>
Co-authored-by: default avatarYounes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      9d73b922
    • Wang, Yi's avatar
      add GPTJ/bloom/llama/opt into model list and enhance the jit support (#23291) · 33687a3f
      Wang, Yi authored 
      
Signed-off-by: default avatarWang, Yi A <yi.a.wang@intel.com>
      33687a3f
  9. 23 May, 2023 6 commits