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  1. 09 Aug, 2023 2 commits
  3. 07 Aug, 2023 1 commit
  5. 04 Aug, 2023 1 commit
    • Sylvain Gugger's avatar
      Document check copies (#25291) · f0fd73a2
      Sylvain Gugger authored 
      * Document check copies better and add tests

* Include header in check for copies

* Manual fixes

* Try autofix

* Fixes

* Clean tests

* Finalize doc

* Remove debug print

* More fixes
      f0fd73a2
  7. 03 Aug, 2023 5 commits
  9. 02 Aug, 2023 1 commit
  11. 01 Aug, 2023 1 commit
  13. 31 Jul, 2023 1 commit
  15. 27 Jul, 2023 1 commit
    • Sanchit Gandhi's avatar
      Add bloom flax (#25094) · e9310363
      Sanchit Gandhi authored 
      

* First commit

* step 1 working

* add alibi

* placeholder for `scan`

* add matrix mult alibi

* beta scaling factor for bmm

* working v1 - simple forward pass

* move layer_number from attribute to arg in call

* partial functioning scan

* hacky working scan

* add more modifs

* add test

* update scan for new kwarg order

* fix position_ids problem

* fix bug in attention layer

* small fix

- do the alibi broadcasting only once

* prelim refactor

* finish refactor

* alibi shifting

* incorporate dropout_add to attention module

* make style

* make padding work again

* update

* remove bogus file

* up

* get generation to work

* clean code a bit

* added small tests

* adding albii test

* make CI tests pass:

- change init weight
- add correct tuple for output attention
- add scan test
- make CI tests work

* fix few nits

* fix nit onnx

* fix onnx nit

* add missing dtype args to nn.Modules

* remove debugging statements

* fix scan generate

* Update modeling_flax_bloom.py

* Update test_modeling_flax_bloom.py

* Update test_modeling_flax_bloom.py

* Update test_modeling_flax_bloom.py

* fix small test issue + make style

* clean up

* Update tests/models/bloom/test_modeling_flax_bloom.py
Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* fix function name

* small fix test

* forward contrib credits from PR17761

* Fix failing test

* fix small typo documentation

* fix non passing test

- remove device from build alibi

* refactor call

- refactor `FlaxBloomBlockCollection` module

* make style

* upcast to fp32

* cleaner way to upcast

* remove unused args

* remove layer number

* fix scan test

* make style

* fix i4 casting

* fix slow test

* Update src/transformers/models/bloom/modeling_flax_bloom.py
Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* remove `layer_past`

* refactor a bit

* fix `scan` slow test

* remove useless import

* major changes

- remove unused code
- refactor a bit
- revert import `torch`

* major refactoring

- change build alibi

* remove scan

* fix tests

* make style

* clean-up alibi

* add integration tests

* up

* fix batch norm conversion

* style

* style

* update pt-fx cross tests

* update copyright

* Update src/transformers/modeling_flax_pytorch_utils.py
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* per-weight check

* style

* line formats

---------
Co-authored-by: default avataryounesbelkada <younesbelkada@gmail.com>
Co-authored-by: default avatarPatrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: default avatarYounes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: default avatarhaileyschoelkopf <haileyschoelkopf@users.noreply.github.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      e9310363
  17. 25 Jul, 2023 7 commits
  19. 24 Jul, 2023 2 commits
  21. 21 Jul, 2023 3 commits
  23. 20 Jul, 2023 1 commit
    • Tom Aarsen's avatar
      Deprecate unused OpenLlama architecture (#24922) · 79444f37
      Tom Aarsen authored 
      * Resolve typo in check_repo.py

* Specify encoding when opening modeling files

* Deprecate the OpenLlama architecture

* Add disclaimer pointing to Llama

I'm open to different wordings here

* Match the capitalisation of LLaMA
      79444f37
  25. 19 Jul, 2023 2 commits
    • Travis Cline's avatar
      Fix minor llama2.md model doc typos (#24909) · 3a43794d
      Travis Cline authored 
      Update llama2.md

 Fix typos in the llama2 model doc
      3a43794d
    • Eliah Kagan's avatar
      Update tested versions in READMEs (#24895) · c0359702
      Eliah Kagan authored 
      * Update supported Python and PyTorch versions in readme

* Update Python, etc. versions in non-English readmes

These were more out of date than in the English readme. This
updates all the versions the readmes claim the repository is tested
with to the same versions stated in the English readme.

Those versions are current at least in the case of the Python and
PyTorch versions (and less out of date for the others).

* Propagate trailing whitespace fix to model list

This runs "make fix-copies". The only change is the removal of
whitespace. No actual information or wording is changed.

* Update tested TensorFlow to 2.6 in all readmes

Per pinning in setup.py

Unlike Python and PyTorch, the minimum supported TensorFlow version
has not very recently changed, but old versions were listed in all
READMEs.
      c0359702
  27. 18 Jul, 2023 3 commits
  29. 17 Jul, 2023 3 commits
    • Yoach Lacombe's avatar
      Add bark (#24086) · f42a35e6
      Yoach Lacombe authored 
      

* first raw version of the bark integration

* working code on small models with single run

* add converting script from suno weights 2 hf

* many changes

* correct past_kv output

* working implementation for inference

* update the converting script according to the architecture changes

* add a working end-to-end inference code

* remove some comments and make small changes

* remove unecessary comment

* add docstrings and ensure no unecessary intermediary output during audio generation

* remove done TODOs

* make style + add config docstrings

* modification for batch inference support on the whole model

* add details to .generation_audio method

* add copyright

* convert EncodecModel from original library to transformers implementation

* add two class in order to facilitate model and sub-models loading from the hub

* add support of loading the whole model

* add BarkProcessor

* correct modeling according to processor output

* Add proper __init__ and auto support

* Add up-to-date copyright/license message

* add relative import instead of absolute

* cleaner head_dim computation

* small comment removal or changes

* more verbose LayerNorm init method

* specify eps for clearer comprehension

* more verbose variable naming in the MLP module

* remove unecessary BarkBlock parameter

* clearer code in the forward pass of the BarkBlock

* remove _initialize_modules method for cleaner code

* Remove unnecessary methods from sub-models

* move code to remove unnecessary function

* rename a variable for clarity and change an assert

* move code and change variable name for clarity

* remove unnecessary asserts

* correct small bug

* correct a comment

* change variable names for clarity

* remove asserts

* change import from absolute to relative

* correct small error due to comma missing + correct import

* Add attribute Bark config

* add first version of tests

* update attention_map

* add tie_weights and resize_token_embeddings for fineModel

* correct getting attention_mask in generate_text_semantic

* remove Bark inference trick

* leave more choices in barkProcessor

* remove _no_split_modules

* fixe error in forward of block and introduce clearer notations

* correct converting script with last changes

* make style + add draft bark.mdx

* correct BarkModelTest::test_generate_text_semantic

* add Bark in main README

* add dummy_pt_objects for Bark

* add missing models in the main init

* correct test_decoder_model_past_with_large_inputs

* disable torchscript test

* change docstring of BarkProcessor

* Add test_processor_bark

* make style

* correct copyrights

* add bark.mdx + make style, quality and consistency

* Apply suggestions from code review
Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Remove unnecessary test method

* simply logic of a test

* Only check first ids for slow audio generation

* split full end-to-end generation tests

* remove unneccessary comment

* change submodel names for clearer naming

* remove ModuleDict from modeling_bark

* combine two if statements

* ensure that an edge misued won't happen

* modify variable name

* move code snippet to the right place (coarse instead of semantic)

* change BarkSemanticModule -> BarkSemanticModel

* align BarkProcessor with transformers paradigm

* correct BarkProcessor tests with last commit changes

* change _validate_voice_preset to an instance method instead of a class method

* tie_weights already called with post_init

* add codec_model config to configuration

* update bark modeling tests with recent BarkProcessor changes

* remove SubModelPretrainedModel + change speakers embeddings prompt type in BarkModel

* change absolute imports to relative

* remove TODO

* change docstrings

* add examples to docs and docstrings

* make style

* uses BatchFeature in BarkProcessor insteads of dict

* continue improving docstrings and docs + make style

* correct docstrings examples

* more comprehensible speaker_embeddings load/Save

* rename speaker_embeddings_dict -> speaker_embeddings

* correct bark.mdx + add bark to documentation_tests

* correct docstrings configuration_bark

* integrate last nit suggestions

* integrate BarkGeneration configs

* make style

* remove bark tests from documentation_tests.txt because timeout - tested manually

* add proper generation config initialization

* small bark.mdx documentation changes

* rename bark.mdx -> bark.md

* add torch.no_grad behind BarkModel.generate_audio()

* replace assert by ValueError in convert_suno_to_hf.py

* integrate a series of short comments from reviewer

* move SemanticLogitsProcessors and remove .detach() from Bark docs and docstrings

* actually remove SemanticLogitsProcessor from modeling_bark.oy

* BarkProcessor returns a single output instead of tuple + correct docstrings

* make style + correct bug

* add initializer_range to BarkConfig + correct slow modeling tests

* add .clone() to history_prompt.coarse_prompt to avoid modifying input array

* Making sure no extra "`" are present

* remove extra characters in modeling_bark.py

* Correct output if history_prompt is None

* remove TODOs

* remove ravel comment

* completing generation_configuration_bark.py docstrings

* change docstrings - number of audio codebooks instead of Encodec codebooks

* change 'bias' docstrings in configuration_bark.py

* format code

* rename BarkModel.generate_audio -> BarkModel.generate_speech

* modify AutoConfig instead of EncodecConfig in BarkConfig

* correct AutoConfig wrong init

* refactor BarkModel and sub-models generate_coarse, generate_fine, generate_text_semantic

* remove SemanticLogitsProcessor and replace it with SuppressTokensLogitsProcessor

* move nb_codebook related config arguments to BarkFineConfig

* rename bark.mdx -> bark.md

* correcting BarkModelConfig from_pretrained + remove keys_to_ignore

* correct bark.md with correct hub path

* correct code bug in bark.md

* correct list tokens_to_suppress

* modify Processor to load nested speaker embeddings in a safer way

* correct batch sampling in BarkFineModel.generate_fine

* Apply suggestions from code review

Small docstrings correction and code improvements
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* give more details about num_layers in docstrings

* correct indentation mistake

* correct submodelconfig order of docstring variables

* put audio models in alphabetical order in utils/check_repo.my

* remove useless line from test_modeling_bark.py

* makes BarkCoarseModelTest inherits from (ModelTesterMixin, GenerationTesterMixin, unittest.TestCase) instead of BarkSemanticModelTest

* make a Tester class for each sub-model instead of inheriting

* add test_resize_embeddings=True for Bark sub-models

* add Copied from transformers.models.gpt_neo.modeling_gpt_neo.GPTNeoSelfAttention._split_heads

* remove 'Copied fom Bark' comment

* remove unneccessary comment

* change np.min -> min in modeling_bark.py

* refactored all custom layers to have Bark prefix

* add attention_mask as an argument of generate_text_semantic

* refactor sub-models start docstrings to have more precise config class definition

* move _tied_weights_keys overriding

* add docstrings to generate_xxx in modeling_bark.py

* add loading whole BarkModel to convert_suno_to_hf

* refactor attribute and variable names

* make style convert_suno

* update bark checkpoints

* remove never entered if statement

* move bark_modeling docstrings after BarkPretrainedModel class definition

* refactor modeling_bark.py: kv -> key_values

* small nits - code refactoring and removing unecessary lines from _init_weights

* nits - replace inplace method by variable assigning

* remove *optional* when necessary

* remove some lines in generate_speech

* add default value for optional parameter

* Refactor preprocess_histories_before_coarse -> preprocess_histories
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>

* correct usage after refactoring

* refactor Bark's generate_xxx -> generate and modify docstrings and tests accordingly

* update docstrings python in configuration_bark.py

* add bark files in utils/documentation_test.txt

* correct docstrings python snippet

* add the ability to use parameters in the form of e.g coarse_temperature

* add semantic_max_new_tokens in python snippet in docstrings for quicker generation

* Reformate sub-models kwargs in BakModel.generate
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>

* correct kwargs in BarkModel.generate

* correct attention_mask kwarg in BarkModel.generate

* add tests for sub-models args in BarkModel.generate and correct BarkFineModel.test_generate_fp16

* enrich BarkModel.generate docstrings with a description of how to use the kwargs

---------
Co-authored-by: default avatarSanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: default avataramyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: default avatarSylvain Gugger <35901082+sgugger@users.noreply.github.com>
      f42a35e6
    • Samin Yasar's avatar
      Add Multimodal heading and Document question answering in task_summary.mdx (#23318) · 4f088870
      Samin Yasar authored 
      * add multimodal heading and docqa

* fix sentence

* task_summary data type = modality clarification

* change the multimodal example to a smaller model
      4f088870
    • statelesshz's avatar
      deprecate `sharded_ddp` training argument (#24825) · 8ba26c18
      statelesshz authored 
      

* deprecate fairscale's ShardedDDP

* fix code style

* roll back

* deprecate the `sharded_ddp` training argument

---------
Co-authored-by: default avatarjihuazhong <jihuazhong1@huawei.com>
      8ba26c18
  31. 13 Jul, 2023 3 commits
  33. 11 Jul, 2023 2 commits
  35. 10 Jul, 2023 1 commit