Commit Graph

460 Commits

Author SHA1 Message Date
Arthur
c87654dca1
[Whisper] Add rescaling function with do_normalize (#21263)
* add `zero_mean_unit_var_norm` function

* normalize before MEL computation

* fixup

* add simple test

* quality

* Update tests/models/whisper/test_feature_extraction_whisper.py

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

* fixup

* use attention masks if padding was applied

* Update based on review

Co-authored-by: bofeng huang <bofenghuang7@gmail.com>

---------

Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: bofeng huang <bofenghuang7@gmail.com>
2023-03-02 14:17:21 +01:00
Yih-Dar
36ee128375
Fix WhisperModelTest (#21883)
* force on the same device

* fix tests

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-03-01 20:41:27 +01:00
Alara Dirik
269b054939
Add ALIGN to transformers (#21741)
Adds the ALIGN model to transformers. ALIGN is introduced in "Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision" by Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V. Le, Yunhsuan Sung, Zhen Li, Tom Duerig.
2023-03-01 21:23:31 +03:00
Matt
f7c618e3b0
Add TFVisionTextDualEncoder (#21873)
* Temporary commit to stash everything so far

* Temporary commit to stash everything so far

* stash commit

* Refactor from_pretrained

* Fix final test, make fixup

* Update dummies

* Add model to TEST_FILES_WITH_NO_COMMON_TESTS

* Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py

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

* Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py

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

* Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py

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

* Update src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py

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

* Add TFVisionTextDualEncoder to utils/documentation_tests.txt

* make fixup

---------

Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
2023-03-01 18:00:48 +00:00
Arthur
b599b19289
[ConvBert] Fix #21523 (#21849)
* fix reshaping
Fixes #21523

* add test

* styling

* last fixes

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

* code quallity
2023-03-01 11:11:04 +01:00
Arthur
44e3e3fb49
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>
2023-03-01 10:49:21 +01:00
Matt
acfb714bdf
Improve TF weight loading, especially PT crossloading (#21792)
* 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
2023-02-28 18:41:34 +00:00
Yih-Dar
871c31a6f1
🔥Rework pipeline testing by removing PipelineTestCaseMeta 🚀 (#21516)
* 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

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-28 19:40:57 +01:00
Anahita Bhiwandiwalla
4cb5ffa93d
Add loss for BridgeTowerForMaskedLM and BridgeTowerForImageAndTextRetrieval (#21684)
* Add loss for BridgeTowerForMaskedLM and BridgeTowerForImageAndTextRetrieval

* minor fix return_dict

* implement test for loss computation

---------

Co-authored-by: Tiep Le <97980157+tileintel@users.noreply.github.com>
Co-authored-by: Tiep Le <tiep.le@intel.com>
2023-02-28 12:21:48 -05:00
Younes Belkada
7f4f8b97d0
[Blip2] Fix Blip-2 multi gpu (#21707)
* fix blip multi gpu

* fix

* final changes

* adapt suggestions

* fix failing slow test

* forward contrib credits from testing and suggestions

* reformat

---------

Co-authored-by: akkikiki <akkikiki@users.noreply.github.com>
2023-02-28 17:28:58 +01:00
raghavanone
eec76042f4
Fix the issue of blip model returning loss even when the label is not provided. (#21811)
* 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
2023-02-28 09:54:08 -05:00
Younes Belkada
b8de7e448e
[Blip2] Add Blip2Model (#21817)
* add v1

* add `Blip2Model`

- add relevant functions
- add tests
- add on automapping

* fix docs

* fix doctest
2023-02-28 15:42:55 +01:00
Younes Belkada
ae9230af40
[T5] Fix torchquant issue (#21843)
* fix torchquant issue

* add tests
2023-02-28 15:09:44 +01:00
Yih-Dar
a9dd124346
Rename MobileViTModelTest to TFMobileViTModelTest (#21825)
Let's give TF a bit more love ❤️ 🙏

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-28 08:10:29 +01:00
Sanchit Gandhi
3dae0d7b4f
[SpeechT5] Fix HiFiGAN tests (#21788) 2023-02-24 16:55:38 +01:00
Kashif Rasul
ba0e370dc1
[time series] updated expected values for integration test. (#21762)
* updated expected

* prediction_length fix

* prediction_length default value

* default prediction_length 24

* revert back prediction_length default

* move prediction_length test
2023-02-24 12:36:54 +01:00
Arthur
087436c98e
Fix-ci-whisper (#21767)
* fix history

* input_features instead of input ids for TFWhisport doctest

* use translate intead of transcribe
2023-02-24 11:39:25 +01:00
bofeng huang
c8545d2a9c
[Whisper] Add SpecAugment (#21298)
* 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>
2023-02-24 11:07:52 +01:00
Joao Gante
1d4b797852
Generate: Fix GIT batched captioning (#21738) 2023-02-23 09:50:37 +00:00
Sanchit Gandhi
82e61f3445
[SpeechT5HifiGan] Handle batched inputs (#21702)
* [SpeechT5HifiGan] Handle batched inputs

* fix docstring

* rebase and new ruff style
2023-02-22 11:16:56 +01:00
Yih-Dar
09127c5713
Fix GPTSanJapaneseModel (#21731)
* fix

* skip test_model_parallelism

* skip test_model_parallelism

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-22 11:09:04 +01:00
Aaron Gokaslan
5e8c8eb5ba
Apply ruff flake8-comprehensions (#21694) 2023-02-22 09:14:54 +01:00
Kashif Rasul
df06fb1f0b
Time series transformer: input projection and Std scaler (#21020)
* 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>
2023-02-22 07:50:13 +01:00
Yih-Dar
03aaac3502
Fix TVLT (torch device issue) (#21710)
* fix tvlt ci

* fix tvlt ci

* fix tvlt ci

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-21 11:37:49 +01:00
Jonatan Kłosko
deafc24388
Add WhisperTokenizerFast (#21222)
* 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>
2023-02-21 06:58:54 +01:00
Alara Dirik
49ab16239c
Add EfficientNet (#21563)
* Add EfficientNet to transformers
2023-02-20 16:37:11 +03:00
tanreinama
f56174ac5b
add GPTSAN model (reopen) (#21291)
* 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
2023-02-20 11:25:27 +01:00
Sylvain Gugger
c87bbe1ff0
Fix quality 2023-02-20 03:27:09 -05:00
Andy Ehrenberg
2840272c5f
add flax whisper implementation (#20479)
* 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>
2023-02-20 09:17:40 +01:00
Younes Belkada
8a4c319d33
[BLIP] update blip path on slow tests (#21476)
* update blip path

* Update tests/models/blip/test_modeling_blip.py
2023-02-17 18:26:36 +00:00
Younes Belkada
a8eb4f79f9
[CLAP] Fix few broken things (#21670)
* 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>
2023-02-17 11:32:14 +01:00
Arthur
c236a62172
[CLAP] Add CLAP to the library (#21370)
* add model like clip

* update

* text model ok

* clap text works

* some refactor

- `CLAPVision` to `CLAPAudio`
- refactor kwargs of audio modules

* more refactor

* more refactor

* more refactor

* correct fusion

* more refactor

* new modules

* add basic processor

* fixup

* remove whisper copioed from

* audio logits match

* add doc

* correct filters mel and add maxlength

* style

* few fixes

* forward passes

* fixup

* fixup

* some clean up

* remove mels form the dictionnary

* pad after the repeat

* update padding when dsmaller

* fix padding

* style

* use swin patch merging

* use copied from swin

* processor with any tokenizer

* more copied from

* some clean up

* more refactor

* fix mel when rand_trunc

* style

* remove unused imports

* update processing

* remove image processing tests

* add testing fiel

* fixmodeling issues

* replace with `is_longer`

* clap in serialization

* more refactor

* `make fixup`

* make fixup

* fix feature extractor

* update test feature extractor

* `make fixup`

* clean up config

* more clean up

* more cleanup

* update tests

* refactor tests and inits

* removeCLAP vision config

* remove CLAP from image procssing auto and dummy vision objects

* update inits

* style

* re order classes in modeling clap

* Use roberta tokenizer as the other weights are not open sourced

* small cleaup

* remove tokenization CLAP

* processor tokenizr is roberta

* update feature extraction doc

* remove vclap from model zero shot

* update f_min and f_max to frequency_xx

* some changes

- fix modeling keys
- add `is_longer` in the forward pass
- make fixup

* make fixup

* consistent behavior ebtween rand_crop and fusion

* add numpy resize and bilinear and documentation

* move resizing to image utils

* clean feature extraction

* import resize from correct file

* resize in image transforms

* update

* style

* style

* nit

* remove unused arguments form the feature extractor

* style

* few fixes + make fixup

* oops

* fix more tests

* add zero shot audio classification pipeline

* update zeroshot classification pipeline

* fixup

* fix copies

* all CI tests pass

* make fixup + fix docs

* fix docs

* fix docs

* update tests pip;eline

* update zero shot pipeline

* update feature extraction clap

* update tokenization auto

* use nested simplify

* update pipeline tests

* Apply suggestions from code review

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

* split in two lines

* fixes

* refactor

* clean up

* add integration tests

* update config docstring

* style

* update processor

* fix processor test

* fix feat extractor tests

* update docs

* Apply suggestions from code review

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

* fix readmes

* fix tips

* Update src/transformers/models/auto/configuration_auto.py

* update doc and remove todo -> properly explained

* fix idx and typo

* typoe

* cleanup config

* cleanup tests, styles and doc

* ignore docstyle on image transform

* add conversion script

* remove the `clap` indx in favor of `CLAP`

* update __init

* nits

* Update src/transformers/pipelines/__init__.py

* fix bug

* clarifiy config

* fix copy

* fix init

* Apply suggestions from code review

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

* fix model output

* fix comment

* make fixup

* make fixup

* rename to `Clap`

* replace to `Clap`

* replace to `Clap`

* repo consistency

* again repo-consistency

* make fixup

* Apply suggestions from code review

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

* add config

* changes

* update conversion

* Apply suggestions from code review

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

* remove unused function

* update based on code reviews

* style

* more comments

* cleanup

* clean up

* style

* apply suggestions

* Empty commit

* pipeline will be added in a different PR

* update calls to audio utils functions

* update pipeline init

* style

* style

* styling again

* use pad

* fix repo-consistency

* update utils and add doc for audio utils

* clean up resize by using torch. update inits accordingly

* style

* CLap's  tokenizer is RobertA

* add audio utils to internal toctreee

* update totctree

* style

* update documentation and normalize naming accross audio utils and feature extraction clap

* style

* clean up

* update doc and typos

* fix doctest

* update modelin code, got rid of a lot of reshaping

* style on added doc audio utils

* update modeling clap

* style

* Apply suggestions from code review

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

* docstringvariables with CLAP

* rename key

* update modeling CLAP

* update audio utils docstring

* update processing clap

* fix readmes

* fix toctree

* udpate configuration clap

* fix init

* make fixup

* fix

* fix

* update naming

* update

* update checkpoint path

* Apply suggestions from code review

* Major refactoring

* Update src/transformers/models/clap/configuration_clap.py

* merge

---------

Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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2023-02-16 20:59:27 +01:00
Jannis Vamvas
61abe3290b
[WIP] Move X-MOD models to facebook organization (#21640)
Move X-MOD models to facebook org
2023-02-16 09:18:25 -05:00
Zineng Tang
a0e69a9375
Add TVLT (#20725)
* Update image_processing_tvlt.py

* Update modeling_tvlt.py

* Update

* Update modeling_tvlt.py

* Create tvlt.mdx

* Update configuration_tvlt.py

* Update modeling_tvlt.py

* Update test_modeling_tvlt.py

* Update modeling_tvlt.py

* Update modeling_tvlt.py

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* Update feature_extraction_tvlt.py

* Update tvlt models

* Update tests

* Update

* Update

* Update tests

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* Update README_ko.md

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* Add files via upload

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* Delete modeling_tvlt.py

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* Update README_zh-hant.md

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* Update src/transformers/models/tvlt/configuration_tvlt.py

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* Add files via upload

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* Add files via upload

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* Update src/transformers/models/tvlt/modeling_tvlt.py

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* Update MAE processing

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* Update modeling_tvlt.py

* Update modeling

* Update style

* Update src/transformers/models/tvlt/modeling_tvlt.py

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* Update src/transformers/models/tvlt/modeling_tvlt.py

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* Update check_repo.py

* Update tvlt.mdx

* Update __init__.py

* Update tests

* Update tvlt models

* Update configuration_tvlt.py

* Update configuration_tvlt.py

* Update image_processing_tvlt.py

* Update dummy_pt_objects.py

* Add files via upload

* Update test_modeling_tvlt.py

* Update test_feature_extraction_tvlt.py

* Update test_feature_extraction_tvlt.py

* Update test_feature_extraction_tvlt.py

* Update test_feature_extraction_tvlt.py

* Update test_feature_extraction_tvlt.py

* Update test_feature_extraction_tvlt.py

---------

Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@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>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
2023-02-15 18:10:30 +00:00
amyeroberts
3499c49c17
Skipping more high mem tests - Wav2Vec2 Hubert (#21647)
Skipping more tests
2023-02-15 16:00:50 +00:00
Susnato Dhar
0c9c8472e6
Add Ernie-M Model to huggingface (#21349)
* config and tokenization(fast too) changed and ErnieEncoder added

* Slow Tokenization Added

* Tokenizer(slow) is now working and Fast Tokenizer removed

* Added Config code

* Added Base Model and utils

* ErnieMModel is now working

* All added except tests

* All tests passed except ErnieUIEM

* All tests passed

* all fixes done

* all fixes done

* fixed MAP

* fixed check_code_quality

* fixed Build PR Documentation issue

* Added changes(comments) and also updated to the latest upstream/main

* Added fixup

* Added # Copied comments

* Added fixup

* Added more comments and some nits

* Added fixup

* Fixed README_hd.md

* Added more fixes

* ErnieMTokenizer (being sentencepiece) protected and other docs edited

* Added code_quality fix

* Fixed for

* Added more fix

* modified AZ

* ernie-m tokenization test added!

* attention mask part fixed(with 0->self.config.pad_token_id)

* applied make fixup
2023-02-15 09:24:56 -05:00
amyeroberts
fc28c006a6
Skip wav2vec2 hubert high mem tests (#21643)
* Skip high memory tests

* Skip high memory tests

* Remove unused import
2023-02-15 14:17:26 +00:00
Yih-Dar
e3d832ff87
Fix Blip-2 CI again (#21637)
* fix blip-2 ci

* fix blip-2 ci

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-15 10:59:42 +01:00
Sylvain Gugger
317282927d
Fix the real failing test 2023-02-14 10:52:23 -05:00
Sylvain Gugger
c6f163c786
Skip failing test 2023-02-14 09:20:47 -05:00
Joao Gante
a81fe4e1df
Generate: input expansion for any model input (#21624) 2023-02-14 14:16:22 +00:00
Joao Gante
56b03c96b8
Fix TF CTC tests (#21606) 2023-02-13 21:23:00 +00:00
Yih-Dar
cbecf121cd
Fix env. variable type issue in testing (#21609)
* fix env issue

* fix env issue

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-13 20:53:26 +01:00
Joao Gante
fa4bdb0a40
Generate: correct default model input creation for decoder-only models (#21580) 2023-02-13 17:04:49 +00:00
Yih-Dar
edc1e734bf
Fix Blip-2 CI (#21595)
* use fp16

* use fp16

* use fp16

* use fp16

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2023-02-13 16:44:27 +01:00
Joao Gante
24273268b7
Generate: Fix flaky indexing error in test_constrained_beam_search_generate_dict_output (#21561) 2023-02-13 15:12:07 +00:00
Joao Gante
4be75e9728
CI: skip failing TF hubert test (#21601)
skip test
2023-02-13 09:34:23 -05:00
amyeroberts
cb56590111
Replace input_values_processing with unpack_inputs (#21502)
* Replace input_values_prrocessing with unpack_inputs

* Skip test failing with OOM

* Update tests
2023-02-10 18:19:39 +00:00
Jannis Vamvas
b0d539ccad
Add X-MOD (#20939)
* Add X-MOD to Readme

* Add documentation for X-MOD

* Implement X-MOD

* Fix formatting of X-MOD docs

* Change signature of X-MOD forward methods to use lang_ids

* Minor changes

* Rebase with main and run make fix-copies

* Make suggested changes to docstrings

* Improve code readability

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

* Fix code style

* Conversion script: Remove asserts and type annotations

* Remove _TOKENIZER_FOR_DOC

* XMOD -> Xmod

* Update copyright note

* Fix doctests

* Fix docstring

* Add integration test for FillMaskPipeline

* Revert "Add integration test for FillMaskPipeline"

This reverts commit 4381eb3b1d0f5d85785f89caba83928e6efa6d1f.

* Add end-to-end integration test for mask fill

* make style

* Rebase with main and make fix-copies

---------

Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
2023-02-10 15:32:06 +01:00
Quentin Meeus
5b72b3412b
Remove CLI spams with Whisper FeatureExtractor (#21267)
* Remove CLI spams with Whisper FeatureExtractor

Whisper feature extractor representation includes the MEL filters, a list of list that is represented as ~16,000 lines. This needlessly spams the command line. I added a `__repr__` method that replaces this list with a string "<array of shape (80, 201)>"

* Remove mel_filters from to_dict output  

Credits to @ArthurZucker

* remove unused import

* update feature extraction tests for the changes in to_dict
2023-02-10 09:15:16 -05:00