GitLab

* removes roberta and bert config dependencies from longformer

* adds copied from statements

* fixes style

* removes excessive comments and replace bert with longformer in a couple places

* fixes style

* Add a build_from_serving_sig_and_dummies method and replace all calls like model(model.dummy_inputs) with it.

* make fixup

* Remove the overridden save() as this is no longer necessary

* Also call _set_save_spec(), the last missing piece

* Ensure we set the save spec when loading from config too

* Turn this whole thing into a one-line PR

* Turn this whole thing into a one-line PR

* Turn this whole thing into a one-line PR
Co-authored-by: Your Name <you@example.com>

* change `BloomConfig` docstring

- slightly change the docstring of the `BloomConfig`
- Use correct default vocab size
- Use correct default `hidden_dim`, `n_head`

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

* Update src/transformers/models/bloom/configuration_bloom.py
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* make style
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* copies over roberta tokenizer to longformertokenizer since they are both identical

* adds Copied from patterns to pass copy check

* add sudachipy and jumanpp tokenizers for bert_japanese

* use ImportError instead of ModuleNotFoundError in SudachiTokenizer and JumanppTokenizer

* put test cases of test_tokenization_bert_japanese in one line

* add require_sudachi and require_jumanpp decorator for testing

* add sudachi and pyknp(jumanpp) to dependencies

* remove sudachi_dict_small and sudachi_dict_full from dependencies

* empty commit for ci

Co-authored-by: Mustapha AJEGHRIR <mustapha.ajeghrir@kleegroup.com>

* remove XLMTokenizer inheritance from FlaubertTokenizer

* remove XLMTokenizer inheritance from FlaubertTokenizer

* remove XLMTokenizer inheritance from FlaubertTokenizer

* remove XLMTokenizer inheritance from FlaubertTokenizer: fixed styling

* removed repo-consistensy issue

* removed interdependency of BERTTokenizer in tokenization of prophetnet

* fix: style

- Improves MaskFormer docs, corrects minor typos
- Restructures MaskFormerFeatureExtractor.post_process_panoptic_segmentation for better readability, adds target_sizes argument for optional resizing
- Adds post_process_semantic_segmentation and post_process_instance_segmentation methods.
- Adds a deprecation warning to post_process_segmentation method in favour of post_process_instance_segmentation

* removing XLMConfig inheritance from FlaubertConfig

* removing XLMConfig inheritance from FlaubertConfig

* Fixed styling issue

* Update configuration_flaubert.py
Co-authored-by: Druhin Abrol <druhinabrol@192.168.1.6>

* Remove interdependency from OpenAI tokenizer

* Adjust import order for linter

* Clamping hidden state values to allow FP16

* Reformating

* Adding missing if condition

* Update src/transformers/models/longt5/modeling_longt5.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/longt5/modeling_longt5.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Update src/transformers/models/longt5/modeling_longt5.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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

* add bloom for question answering

- attempt to add Bloom for question answering
- adapted from `GPTJForQuestionAnswering`
- Fixed `num_labels` to `2` for common tests
- Added a bit of docstring
- All common tests pass

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

* revert changes related to `num_labels`
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* removing BertConfig inheritance

* fix missing arguments

in stale.yml

* Added type hints for TF: rag model

* TFModelInputType added in place of TF.Tensor

* reformatting by black

* Update modeling_tf_led.py

* Update modeling_tf_led.py

Co-authored-by: Your Name <you@example.com>

Bumps [joblib](https://github.com/joblib/joblib) from 0.16.0 to 1.2.0.
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/master/CHANGES.rst)
- [Commits](https://github.com/joblib/joblib/compare/0.16.0...1.2.0

)

---
updated-dependencies:
- dependency-name: joblib
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Bumps [joblib](https://github.com/joblib/joblib) from 1.1.0 to 1.2.0.
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/master/CHANGES.rst)
- [Commits](https://github.com/joblib/joblib/compare/1.1.0...1.2.0

)

---
updated-dependencies:
- dependency-name: joblib
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Bumps [joblib](https://github.com/joblib/joblib) from 0.16.0 to 1.2.0.
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/master/CHANGES.rst)
- [Commits](https://github.com/joblib/joblib/compare/0.16.0...1.2.0

)

---
updated-dependencies:
- dependency-name: joblib
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Update protobuf dependency to fix vulnerability

* Update `dependency_versions_table.py` to include updated protobuf.

* split onnx and torchscript docs

* make style

* apply reviews

* Update no_trainer script for summarization

* removed unnecessary import

* fixes notation mistake

* removed: unused variable

* Restructure DetrFeatureExtractor post-processing methods
* Update post_process_instance_segmentation and post_process_panoptic_segmentation methods to return prediction scores
* Update DETR models docs

* initial files

* initial model via cli

* typos

* make a start on the model config

* ready with configuation

* remove tokenizer ref.

* init the transformer

* added initial model forward to return dec_output

* require gluonts

* update dep. ver table and add as extra

* fixed typo

* add type for prediction_length

* use num_time_features

* use config

* more config

* typos

* opps another typo

* freq can be none

* default via transformation is 1

* initial transformations

* fix imports

* added transform_start_field

* add helper to create pytorch dataloader

* added inital val and test data loader

* added initial distr head and loss

* training working

* remove TimeSeriesTransformerTokenizer
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

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

* fixed copyright

* removed docs

* remove time series tokenizer

* fixed docs

* fix text

* fix second

* fix default

* fix order

* use config directly

* undo change

* fix comment

* fix year

* fix import

* add additional arguments for training vs. test

* initial greedy inference loop

* fix inference

* comment out token inputs to enc dec

* Use HF encoder/decoder

* fix inference

* Use Seq2SeqTSModelOutput output

* return Seq2SeqTSPredictionOutput

* added default arguments

* fix return_dict true

* scale is a tensor

* output static_features for inference

* clean up some unused bits

* fixed typo

* set return_dict if none

* call model once for both train/predict

* use cache if future_target is none

* initial generate func

* generate arguments

* future_time_feat is required

* return SampleTSPredictionOutput

* removed unneeded classes

* fix when params is none

* fix return dict

* fix num_attention_heads

* fix arguments

* remove unused shift_tokens_right

* add different dropout configs

* implement FeatureEmbedder, Scaler and weighted_average

* remove gluonts dependency

* fix class names

* avoid _variable names

* remove gluonts dependency

* fix imports

* remove gluonts from configuration

* fix docs

* fixed typo

* move utils to examples

* add example requirements

* config has no freq

* initial run_ts_no_trainer

* remove from ignore

* fix output_attentions and removed unsued getters/setters

* removed unsed tests

* add dec seq len

* add test_attention_outputs

* set has_text_modality=False

* add config attribute_map

* make style

* make fix-copies

* add encoder_outputs to TimeSeriesTransformerForPrediction forward

* Improve docs, add model to README

* added test_forward_signature

* More improvements

* Add more copied from

* Fix README

* Fix remaining quality issues

* updated encoder and decoder

* fix generate

* output_hidden_states and use_cache are optional

* past key_values returned too

* initialize weights of distribution_output module

* fixed more tests

* update test_forward_signature

* fix return_dict outputs

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

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

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

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

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

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

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

* removed commented out tests

* added neg. bin and normal output

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

* move to one line

* Add docstrings

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

* add try except for assert and raise

* try and raise exception

* fix the documentation formatting

* fix assert call

* fix docstring formatting

* removed input_ids from DOCSTRING

* Update input docstring

* Improve variable names

* Update order of inputs

* Improve configuration

* Improve variable names

* Improve docs

* Remove key_length from tests

* Add extra docs

* initial unittests

* added test_inference_no_head test

* added test_inference_head

* add test_seq_to_seq_generation

* make style

* one line

* assert mean prediction

* removed comments

* 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>

* fix order of args

* make past_observed_mask optional as well

* added Amazon license header

* updated utils with new fieldnames

* make style

* cleanup

* undo position of past_observed_mask

* fix import

* typo

* more typo

* rename example files

* remove example for now

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

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

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

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

* Update modeling_time_series_transformer.py

fix style

* fixed typo

* fix typo and grammer

* fix style
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: NielsRogge <niels.rogge1@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>