GitLab

* Fix resume_from_checkpoint for deepspeed

Fix resume_from_checkpoint for deepspeed, by ensuring that the deepspeed engine is the one to load the checkpoint.

* Empty commit to trigger CI

* Removed deepspeed skipping 

Removed deepspeed skipping inside the _load_from_checkpoint function, as it is obsolete

* another adjustment

* Trigger CI

* trigger circleci

* style

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Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>

* fix gradient checkpointing bug

* fix gradient checkpointing bug

* ran make fix-copies

* fixed bug

* fixed bug

* updated expected

* prediction_length fix

* prediction_length default value

* default prediction_length 24

* revert back prediction_length default

* move prediction_length test

Generate - update cookie cutters to not initialize cache with training and gradient checkpointing (#21759)

* 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>

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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>

* Different behavior in DistilBERT when using "inputs_embeds"
Fixes #21089

* fix failing test

* [Examples] Generalise run audio classification for log-mel models

* batch feature extractor

* make style

* [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

* Removed useless check for backend

* fix style check for graphormer

* Reverted change and corrected requires_backend for cython

* code qual

* [deepspeed tests] fix issues introduced by #21700

* fix

* fix

* troubleshooting guide: added an error description for missing auto-mapping

* minor polishing

* changed the example

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/troubleshooting.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Ran Black formatting

* Added imports and reformatted

* Update src/transformers/models/encoder_decoder/modeling_tf_encoder_decoder.py

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Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* fix bug

* forward contrib credits from discussions

* change logic

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

* Update expect output values - as Hub repo. files are updated

* Update expect output values - as librosa is from 0.9.2 to 0.10.0 on CI docker

* fix

* update one more

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

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

* Add subfolder support

* Add kwarg docstring

* formatting fix

* Add test

added Open in Colab to task guides

* Stop doing dict-things to non-dict inputs

* Add a debug check

* Add a debug check

* Remove debug checks, looks good now!

* make fixup

* [SpeechT5HifiGan] Handle batched inputs

* fix docstring

* rebase and new ruff style

* fix

* skip test_model_parallelism

* skip test_model_parallelism

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

* remove .parameters()).device

* fix

* fix

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

Change doc example for BigBirdForQuestionAnswering
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

remove from doctest list to avoid GPU OOM
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

fix typo

* 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

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

* Adding type hints to call() functions in this file

* make fixup

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

* Update src/transformers/models/marian/modeling_tf_marian.py

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Co-authored-by: Matt <rocketknight1@gmail.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* added resources: links to task guides that support these models

* minor polishing

* conflict resolved

* link fix

* Update docs/source/en/model_doc/vision-encoder-decoder.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* fix tvlt ci

* fix tvlt ci

* fix tvlt ci

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

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

* Add test

* Fix GITProcessor

* Update

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