GitLab

* Add an utility file to get information from test files

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

* fix reshaping
Fixes #21523

* add test

* styling

* last fixes

* Update src/transformers/models/convbert/modeling_convbert.py

* code quallity

prepare for "__floordiv__ is deprecated  and its behavior will change in a future version of pytorch" (#20211)

* rounding_mode = "floor"  instead of // to prevent behavioral change

* add other TODO

* use `torch_int_div` from pytrch_utils

* same for tests

* fix copies

* style

* use relative imports when needed

* Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* Fix flaky test for log level

* Fix other flaky test

* First commit for the improved PT-TF weight loading

* Remove workarounds from TFEncoderDecoder tests

* Allow a custom weight renaming function in from_pretrained and use that to clean up EncoderDecoder

* make fixup

* First attempt at visionencoderdecoder

* Disable tensorfloat32 in tests to get consistent outputs

* Quick fix to tf_vision_encoder_decoder tests

* make fixup

* Update Blenderbot tests

* Remove unused arg in modeling_tf_opt

* load_tf_sharded_weights had strict=True! This meant transfer learning was impossible, so I'm setting it to False.

* Support prefixes when loading sharded TF checkpoints

* make fixup

* Add test to load sharded models with a weight prefix

* Fix sharded weight loading test

* Add a test for transfer from a sharded checkpoint

* make fixup

* Add test to check that crossloading from PT with a prefix works

* Refactor from_pretrained in the encoderdecoder classes

* Refactor from_pretrained in the encoderdecoder classes

* missmatched -> mismatched

* Explicitly check for None

* No comments showing my very impressive and attractive knowledge of Py3.9+

* Disable TF32 across all TF tests

* Add PipelineTesterMixin

* remove class PipelineTestCaseMeta

* move validate_test_components

* Add for ViT

* Add to SPECIAL_MODULE_TO_TEST_MAP

* style and quality

* Add feature-extraction

* update

* raise instead of skip

* add tiny_model_summary.json

* more explicit

* skip tasks not in mapping

* add availability check

* Add Copyright

* A way to diable irrelevant tests

* update with main

* remove disable_irrelevant_tests

* skip tests

* better skip message

* better skip message

* Add all pipeline task tests

* revert

* Import PipelineTesterMixin

* subclass test classes with PipelineTesterMixin

* Add pipieline_model_mapping

* Fix import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix one more import after adding pipieline_model_mapping

* Fix style and quality after adding pipieline_model_mapping

* Fix test issues

* Fix import requirements

* Fix mapping for MobileViTModelTest

* Update

* Better skip message

* pipieline_model_mapping could not be None

* Remove some PipelineTesterMixin

* Fix typo

* revert tests_fetcher.py

* update

* rename

* revert

* Remove PipelineTestCaseMeta from ZeroShotAudioClassificationPipelineTests

* style and quality

* test fetcher for all pipeline/model tests

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

* Add loss for BridgeTowerForMaskedLM and BridgeTowerForImageAndTextRetrieval

* minor fix return_dict

* implement test for loss computation

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Co-authored-by: Tiep Le <97980157+tileintel@users.noreply.github.com>
Co-authored-by: Tiep Le <tiep.le@intel.com>

* fix blip multi gpu

* fix

* final changes

* adapt suggestions

* fix failing slow test

* forward contrib credits from testing and suggestions

* reformat

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

* Fix the issue of blip model returning loss even when the label is not provoided

* Fix ruff failure

* Incorporate PR feedbacks

* Incorporate PR feedbacks

* Incorporate PR feedbacks

* Incorporate PR feedbacks

* add v1

* add `Blip2Model`

- add relevant functions
- add tests
- add on automapping

* fix docs

* fix doctest

* fix torchquant issue

* add tests

Let's give TF a bit more love ❤️ 🙏

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

* add `accelerate` marker

* add to docs

* Update docs/source/en/testing.mdx

* uint8 -> bool

* fix copies

* style

* update test modeling commen when checking attention buffers

* style

* use logical not on random mask instead of subtraction with 1

* remove torch uint8

* quality

* remove modified modeling utils

* Update based on review
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

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Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* add pipeline

* update init

* add zero shot to init

* update inits and correct checkpoints

* update base to support input features

* add tests

* Update src/transformers/pipelines/zero_shot_audio_classification.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/pipelines/zero_shot_audio_classification.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* update pieline code

* use tiny checkpoint

* nits and expected value with tiny model

* style

* last nit on tests values

* fix styling

* fix collate fn that was casting t float

* update

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* updated expected

* prediction_length fix

* prediction_length default value

* default prediction_length 24

* revert back prediction_length default

* move prediction_length test

* fix history

* input_features instead of input ids for TFWhisport doctest

* use translate intead of transcribe

* Return and rescale attention_mask

* Add SpecAugment to Whisper modeling

* Fix test

* Update docstring

* Add SpecAug related parameters to model config

* Add the _mask_input_features function to doc

* Fix quality

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

* Remove dev comments

* Add test

* Resolve conflict

* feat: mask {feature, time} prob fast tests

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

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [flax] adding support for batch norm layers

* fixing bugs related to pt+flax integration

* cleanup, batchnorm support in sharded pt to flax

* support for batchnorm tests in pt+flax integration

* simplifying checking batch norm layer

* fix: Change is_last chunk calc and add conditional break

* format fix

* account for 0 and full stride_rights, add comment

* add new test

* make style

* update slow whisper asr test timestamps

* use nested_simplify on output and round timestamp to hundreths place

* [deepspeed tests] fix issues introduced by #21700

* fix

* fix

* Add subfolder support

* Add kwarg docstring

* formatting fix

* Add test

* [SpeechT5HifiGan] Handle batched inputs

* fix docstring

* rebase and new ruff style

* fix

* skip test_model_parallelism

* skip test_model_parallelism

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

* Respect documentation on passive log level

* Fix test and set log level in examples

* Add doc

* added loc and scale outputs from scalers

* fix typo

* fix tests

* fixed formatting

* initial StdScaler

* move scaling to optional str

* calculate std feature for scalers

* undid change as it does not help

* added StdScaler with weights

* added input projection layer and d_model hyperparam

* use linear proj

* add back layernorm_embedding

* add sin-cos pos embeddings

* updated scalers

* formatting

* fix type

* fixed test

* fix repeated_past_values cal.

* fix when keepdim=false

* fix default_scale

* backward compatibility of scaling config

* update integration test expected output

* fix style

* fix docs

* use the actual num_static_real_features in feature_dim cal

* clarified docs

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* prediction_length is not optional

* fix for reviewer

* Update src/transformers/models/time_series_transformer/configuration_time_series_transformer.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* get rid of un-needed new lines

* fix doc

* remove unneeded new lines

* fix style

* static_categorical_features and static_real_features are optional

* fix integration test

* Update src/transformers/models/time_series_transformer/modeling_time_series_transformer.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fixing docs for multivariate setting

* documentation for generate

---------
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix tvlt ci

* fix tvlt ci

* fix tvlt ci

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

* Add WhisperTokenizerFast

* Fixup

* Up

* Up

* Improve tests

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

* Keep stride in whisper pipelien test

* Remove unknown token special case

* Reduce vocabulary size in tests

* Fix vocab size assertion

* Sync copied changes from WhisperTokenizer

* Skip pipeline tests

* Update assertion

* Remove Whisper tokenizer dependency on sentencepiece

* Format

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

* Add EfficientNet to transformers

* fix `bnb` decoders bug

* make fixup

* add GPTSAN-Japanese

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN (update for review)

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* fix typo in comment text

* add GPTSAN

* add GPTSAN

* add GPTSAN

* add GPTSAN

* fix document and comments

* fix class name GPTSAN->GPTSan

* fix import and test for tokenizer

* add flax whisper implementation

* rever change to setup

* remove unused imports

* revert generation changes

* flax whisper docs

* docs

* import order

* import sorting

* isort

* add dummy objects

* doc formatting

* formatting

* remove trailing whitespaces

* fix flax whisper docs

* add generation logic to unlock flax whisper

* remove scans

* give credits to Flax Bart implementation

* remove unused imports

* add license

* remove assert

* more credits to Bart

* fix style

* formatting

* support left padding

* add flax whisper generation test

* remove copied from comments whenever not a full copy

* fix docstrings for logits processors

* revert change to FlaxForceTokensLogitsProcessor

* revert doc changes

* improve generation docs

* reorganize

* formatting

* cleanup docs

* add tests

* handle empty list case

* fix forced decoder ids in flax tests

* add flax whisper to inits

* upate dummy objects

* docs for FlaxAutoModelForSpeechSeq2Seq

* fix decoder_position_ids computation in pretrained model decode/__call__ fns

* add Copied from statements as necessary

* compute position_ids only in __call__ and decode methods of pretrained model subclasses

* improve readabilityof compute positional embeddings

* check dimensionality of input_features instead of hidden_states

* copied from statement for init_cache

* formatting

* fix copies

* fix copies

* pass attention mask to encoder layers

* fix decoder module outputs

* set dtype
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* smaller flax model for whisper test

* Update src/transformers/generation/flax_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/whisper/modeling_flax_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/models/whisper/test_modeling_flax_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* cleanup
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/whisper/modeling_flax_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* bias cleanup

* doc fix

* align style for force tokens processor

* readability

* fix input shape in tests

* revert FlaxGenerationMixin docstring

* formatting

* fix tests

* fix imports

* consistent encoder hidden states

* consistent hidden states

* input shapes

* typo

* partial class trick

* partial class for input shape

* base_class with correct input shape

* partial base classes

* match by name

* set main_input_name

* compare on names

* formatting

* remove unused import

* safer position ids computation

* safer position id computation

* Update src/transformers/models/whisper/modeling_flax_whisper.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update src/transformers/models/whisper/modeling_flax_whisper.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* remove identical inherited tests

* fix prompt ids in tests

* use generation config

* use jnp array

* better var names

* more explicit bias use

* import transformers

* formatting

* test formatting

* remove unused imports

* remove unused imports

* formatting

* isort

* docs

* fix ln orders for encoder hidden states

* whisper unique generation stuff

* flake

* use finfo for attention bias

* docs

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

* docs

* add timestamp flax test

* jit for timestamps

* formatting

* clean up timestamps processor

* formatting

* remove if_true

* cleanup

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* update blip path

* Update tests/models/blip/test_modeling_blip.py

* add `is_longer`

* fix docstring

* fix config class

* fix loss

* fix all doctests

* fix order

* fix last failing tests

---------
Co-authored-by: arthur.zucker@gmail.com <arthur.zucker@gmail.com>