GitLab

add torch device

* avoid generation length warning

* add tests

* Update src/transformers/generation/candidate_generator.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add tests and minor fixes

* refine `min_new_tokens`

* Update src/transformers/generation/candidate_generator.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add method to prepare length arguments

* add test for min length

* Update src/transformers/generation/candidate_generator.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* fix variable naming

* empty commit for tests

* trigger tests (empty)

---------
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* revert back to torch 2.1.1

* run test

* switch to torch 2.2.1

* udapte dockerfile

* fix awq tests

* fix test

* run quanto tests

* update tests

* split quantization tests

* fix

* fix again

* final fix

* fix report artifact

* build docker again

* Revert "build docker again"

This reverts commit 399a5f9d9308da071d79034f238c719de0f3532e.

* debug

* revert

* style

* new notification system

* testing notfication

* rebuild docker

* fix_prev_ci_results

* typo

* remove warning

* fix typo

* fix artifact name

* debug

* issue fixed

* debug again

* fix

* fix time

* test notif with faling test

* typo

* issues again

* final fix ?

* run all quantization tests again

* remove name to clear space

* revert modfiication done on workflow

* fix

* build docker

* build only quant docker

* fix quantization ci

* fix

* fix report

* better quantization_matrix

* add print

* revert to the basic one

* fix mistral and mixtral

* add pdb

* fix mixtral tesst

* fix

* fix mistral ?

* add fix gemma

* fix mistral

* fix

* test

* anoter test

* fix

* fix

* fix mistral tests

* fix them again

* final fixes for mistral

* fix padding right

* fix whipser fa2

* fix

* fix

* fix gemma

* test

* fix llama

* fix

* fix

* fix llama gemma

* add class attribute

* fix CI

* clarify whisper

* compute_capability

* rename names in some comments

* Add   # fmt: skip

* make style

* Update tests/models/mistral/test_modeling_mistral.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* update

* update

---------
Co-authored-by: Younes Belkada <younesbelkada@gmail.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* See if we can get tests to pass with the fixed weights

* See if we can get tests to pass with the fixed weights

* Replace the revisions now that we don't need them anymore

* fix sequence length errors

* fix label column name error for vit

* fix the lm_head embedding!=linear layer mismatches for Seq2Seq models

* init: add StableLm 2 support

* add integration test for parallel residual and qk layernorm

* update(modeling): match qk norm naming for consistency with phi/persimmon

* fix(tests): run fwd/bwd on random init test model to jitter norm weights off identity

* `use_parallel_residual`: add copy pointer to `GPTNeoXLayer.forward`

* refactor: rename head states var in `StableLmLayerNormPerHead`

* tests: update test model and add generate check

* fix falcon without attention_mask & alibi

* add test

* Update tests/models/falcon/test_modeling_falcon.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Patch fix - don't use safetensors for TF models

* Skip test for TF for now

* Update for another test

* add bnb flag

* move maker

* add accelerator maker

* add _torch_extract_fbank_features_batch function in feature_extractor_whisper

* reformat feature_extraction_whisper.py file

* handle batching in single function

* add gpu test & doc

* add batch test & device in each __call__

* add device arg in doc string

---------
Co-authored-by: vaibhav.aggarwal <vaibhav.aggarwal@sprinklr.com>

* fix

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [WIP] fix fx

* [WIP] fix fx

* [WIP] fix fx

* [WIP] fix fx

* [WIP] fix fx

* Apply changes to other models

fix bnb test

* if output is tuple like facebook/hf-seamless-m4t-medium, waveform is the first element
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

* add test and fix batch issue
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

* add dict output support for seamless_m4t
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

---------
Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

skip test_encode_decode_fast_slow_all_tokens for now
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Defaulted IdeficsProcessor padding to 'longest', removed manual padding

* make fixup

* Defaulted processor call to padding=False

* Add padding to processor call in IdeficsModelIntegrationTest as well

* Defaulted IdeficsProcessor padding to 'longest', removed manual padding

* make fixup

* Defaulted processor call to padding=False

* Add padding to processor call in IdeficsModelIntegrationTest as well

* redefaulted padding=longest again

* fixup/doc

* fix vipllava generation

* consistent llava code

* revert llava tests changes

* Fix is_scores_logprobs in WhisperNoSpeechDetection

* Add test_whisper_longform_no_speech_detection

* Fix typo

* Fix generate_with_fallback **kwargs

* Change pop to get

* Delete keys from kwargs to prevent overriding generation_config

* Revert to passing kwargs by reference, but make a (shallow) copy

* dict -> copy.copy

* Add test_whisper_longform_multi_batch_beam

qwen2: fixed tokens starting with # in slow tokenizer; add tests
Co-authored-by: jklj077 <17811943+jklj077@users.noreply.github.com>

update
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Hard error when ignoring tensors. (#27484)

* [WIP] Hard error when ignoring tensors.

* Better selection/error when saving a checkpoint.

- Find all names we should normally drop (those are in the transformers
  config)
- Find all disjoint tensors (for those we can safely trigger a copy to
  get rid of the sharing before saving)
- Clone those disjoint tensors getting rid of the issue
- Find all identical names (those should be declared in the config
  but we try to find them all anyway.)
- For all identical names:
  - If they are in the config, just ignore them everything is fine
  - If they are not, warn about them.
- For all remainder tensors which are shared yet neither identical NOR
  disjoint. raise a hard error.

* Adding a failing test on `main` that passes here.

* We don't need to keep the subfolder logic in this test.

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add small tests.

* Dead variable.

* Fixup.

* Fixing tied_Weights_keys on generic models.

* Fixup + T5 encoder/decoder tying (with different layers)

* Code quality.

* Dynamic member.

* trigger

* Fixing encoder name for other types of encoder/decoder combos.

* Fix scoping.

* Update .github/workflows/self-scheduled.yml
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Fixing the tied_weights after the call.

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix skip_special_tokens process for Wav2Vec2CTCTokenizer._decode

* Fix skip_special_tokens for Wav2Vec2CTCTokenizer._decode

* Exclude pad_token filtering since it is used as CTC-blank token

* Add small test for skip_special_tokens

* Update decoding test for added new token

* add FA2 to o.g Musicgen

* make style

* add FA2 support to Musicgen Melody

* add generation FA2 tests to o.g Musicgen

* make style and fix copies

* add Musicgen to FA2 docs + deprecate list

* add sdpa supports to Musicgen's

* make style and fix copies

* refactor attention implementation arguments

* add Copied from to sdpa tests

* add copied form in sdpa tests melody

* add copied for FA2 generation tests

* add FA2 inference copied from

* make style

* fix issue with logit processor in beam search in Flax

* adding FlaxNoRepeatNGramLogitsProcessor class + unit test

* style correction and code verification

* add FlaxNoRepeatNGramLogitsProcessor to the test_processor_list and test_processor_list_jitted tests

* fix an issue where ngrams are banned only if they appear ==1 time + update description of get_previous_ngrams

* replace non-jit compatible masking of ngrams that are not yet generated with jittable version

* Revert "fix issue with logit processor in beam search in Flax"

This reverts commit 09b70d7e4dc32d0cc4db61af09a835a9cd238b50.

* add FlaxNoRepeatNGramLogitsProcessor to _get_logits_processor

* change the method of casting to boolean of banned tokens indices

* fix code style

* remove some useless operations + significantly faster computation of update indices using jax.lax.fori_loop

* remove useless loop iterations

* set some variables that were calculated and used multiple times

* fix format

* Fix sinusoidal_embeddings in FlaubertModel

* Fix for Informer

* Fix for XLM

* Move sinusoidal emb for XLM

* Move sinusoidal emb for Flaubert

* Small cleanup

* Add comments on tests code copied from

* Add with Distilbert->

* fix bug and add tests

* nit

* otherway to get the cur len instead of attention mask

* more places where this might have been broken

* nit

* oups

* inputs_embeds vs input_embeds

* test generated outptus

* style

* nit

* fix

* skip failing biogpt

[tests] fix the wrong output in `ImageToTextPipelineTests.test_conditional_generation_llava` (#29975)

bug fix

* fix copies

* nit

* style

* Update utils/check_copies.py

* fix FA2 tests

* refactor inference test name

* Start rework

* Fix failing test

* Include max

* Update src/transformers/trainer.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix

* revert for qwen2

* revert for qwen2

* update

* update

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix

* fix test

* style

* nit

* rather rely on concert token to id

* fix quality

* Update src/transformers/convert_slow_tokenizer.py

* add gradient_accumulation_kwargs to AcceleratorConfig

* add suggestions from @muellerzr to docstrings, new behavior and tests

* Documentation suggestions from @muellerz
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* addressed @muellerzr comments regarding tests and test utils

* moved accelerate version to top of file.

* @muellerzr's variable fix
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* address @amyeroberts. fix tests and docstrings

* address @amyeroberts additional suggestions

---------
Co-authored-by: Yu Chin Fabian Lim <flim@sg.ibm.com>
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

[ `TokenizationLlama`] fix the way we convert tokens to strings to keep leading spaces 🚨 breaking fix (#29453)

* nit

* update test and fix test

* fixup

* add hard rope scaling test

* make fixup

* quick rope scaling tests

* add copy statements

* add functions to get number of params which require grad, get optimizer group for parameters and get learning rates of param groups to trainer.py

* add tests and raise ValueError when optimizer is None

* add second layer to test and freeze its weigths

* check if torch is available before running tests

* use decorator to check if torch is available
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix test indentation
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* replace torch.testing.assert_allclose by torch.testing.assert_close

* missing atol rtol