GitLab

* model wrapped + model_unwrap

* cleanup

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

* style

* deprecation warning

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

* first try

* remove old template

* finish bart

* finish mbart

* delete unnecessary line

* init pegasus

* save intermediate

* correct pegasus

* finish pegasus

* remove cookie cutter leftover

* add marian

* finish blenderbot

* replace in file

* correctly split blenderbot

* delete "old" folder

* correct "add statement"

* adapt config for tf comp

* correct configs for tf

* remove ipdb

* fix more stuff

* fix mbart

* push pegasus fix

* fix mbart

* more fixes

* fix research projects code

* finish docs for bart, mbart, and marian

* delete unnecessary file

* correct attn typo

* correct configs

* remove pegasus for seq class

* correct peg docs

* correct peg docs

* finish configs

* further improve docs

* add copied from statements to mbart

* fix copied from in mbart

* add copy statements to marian

* add copied from to marian

* add pegasus copied from

* finish pegasus

* finish copied from

* Apply suggestions from code review

* make style

* backward comp blenderbot

* apply lysandres and sylvains suggestions

* apply suggestions

* push last fixes

* fix docs

* fix tok tests

* fix imports code style

* fix doc

* create model

* add integration

* save current state

* make integration tests pass

* add one more test

* add explanation to tests

* remove from bart

* add padding

* remove unnecessary test

* make all tests pass

* re-add cookie cutter tests

* finish PyTorch

* fix attention test

* Update tests/test_modeling_common.py

* revert change

* remove unused file

* add string to doc

* save intermediate

* make tf integration tests pass

* finish tf

* fix doc

* fix docs again

* add led to doctree

* add to auto tokenizer

* added tips for led

* make style

* apply jplus statements

* correct tf longformer

* apply lysandres suggestions

* apply sylvains suggestions

* Apply suggestions from code review

* correct gpt2

* fix gpt2

* fix use_cache ordering

* correct past tolerance

* fix for all cases

* style

* Create modeling_tf_dpr.py

* Add TFDPR

* Add back TFPegasus, TFMarian, TFMBart, TFBlenderBot

last commit accidentally deleted these 4 lines, so I recover them back

* Add TFDPR

* Add TFDPR

* clean up some comments, add TF input-style doc string

* Add TFDPR

* Make return_dict=False as default

* Fix return_dict bug (in .from_pretrained)

* Add get_input_embeddings()

* Create test_modeling_tf_dpr.py

The current version is already passed all 27 tests!
Please see the test run at : 
https://colab.research.google.com/drive/1czS_m9zy5k-iSJbzA_DP1k1xAAC_sdkf?usp=sharing



* fix quality

* delete init weights

* run fix copies

* fix repo consis

* del config_class, load_tf_weights

They shoud be 'pytorch only'

* add config_class back

after removing it, test failed ... so totally only removing "use_tf_weights = None" on Lysandre suggestion

* newline after .. note::

* import tf, np (Necessary for ModelIntegrationTest)

* slow_test from_pretrained with from_pt=True

At the moment we don't have TF weights (since we don't have official official TF model)
Previously, I did not run slow test, so I missed this bug

* Add simple TFDPRModelIntegrationTest

Note that this is just a test that TF and Pytorch gives approx. the same output.
However, I could not test with the official DPR repo's output yet

* upload correct tf model

* remove position_ids as missing keys

* fix RagSeq generate with context_input_ids

fix RagSeq generate with context_input_ids

* apply style

* delete unused lines

* Add test_rag_sequence_generate_batch_from_context_input_ids

* Readability improved

* stylying

* Stylize

* typos

* add check_model_generate_from_context_input_ids

* make style

* Apply suggestions from code review

* make style2
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: patrickvonplaten <patrick@huggingface.co>

* add past_key_values

* add use_cache option

* make mask before cutting ids

* adjust position_ids according to past_key_values

* flatten past_key_values

* fix positional embeds

* fix _reorder_cache

* set use_cache to false when not decoder, fix attention mask init

* add test for caching

* add past_key_values for Roberta

* fix position embeds

* add caching test for roberta

* add doc

* make style

* doc, fix attention mask, test

* small fixes

* adress patrick's comments

* input_ids shouldn't start with pad token

* use_cache only when decoder

* make consistent with bert

* make copies consistent

* add use_cache to encoder

* add past_key_values to tapas attention

* apply suggestions from code review

* make coppies consistent

* add attn mask in tests

* remove copied from longformer

* apply suggestions from code review

* fix bart test

* nit

* simplify model outputs

* fix doc

* fix output ordering

* adapt cookie cutter

* fix copy past statement

* delete copy statements for now

* remove unused import from template

* make doc rst

* correct config docstring

* correct training

* correct inputs processing tf enc dec

* make style

* adapt templates

* clean tabs

* correct tensor -> Tensor naming

* correct indent

* correct templates

* fix the test

* break lines to avoid > 119

* Apply suggestions from code review

* Add label smoothing in Trainer

* Add options for scheduler and Adafactor in Trainer

* Put Seq2SeqTrainer in the main lib

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Address review comments and adapt scripts

* Documentation

* Move test not using script to tests folder
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add tests

* make style and fix bart bug

* fix bart past key value edge case

* correct tf bart test

* fix gpt2 tf

* fix t5 test

* add converter

* delet unnecessary comments

* add base model classes to  bart subclassed models

* add doc

* TF Transfoxl seq classification

* Update test_modeling_tf_transfo_xl.py

Added num_labels to config level

* TF Transfoxl seq classification

* Update test_modeling_tf_transfo_xl.py

Added num_labels to config level

* code refactor

* code refactor

* code refator

* Add timing inside Trainer

* Fix tests

* Add n_objs for train

* Sort logs

* Add new run_swag example

* Add check

* Add sample

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Very important change to make Lysandre happy
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Added TF CTRL Sequence Classification

* code refactor

* AutoModelForTableQuestionAnswering

* TableQuestionAnsweringPipeline

* Apply suggestions from Patrick's code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Sylvain and Patrick comments

* Better PyTorch/TF error message

* Add integration tests

* Argument Handler naming
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>

* Fix docs to appease the documentation gods
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* AutoModelForTableQuestionAnswering

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

* Style

* save intermediate

* save intermediate

* save intermediate

* correct flax bert model file

* new module / model naming

* make style

* almost finish BERT

* finish roberta

* make fix-copies

* delete keys file

* last refactor

* fixes in run_mlm_flax.py

* remove pooled from run_mlm_flax.py`

* fix gelu | gelu_new

* remove Module from inits

* splits

* dirty print

* preventing warmup_steps == 0

* smaller splits

* make fix-copies

* dirty print

* dirty print

* initial_evaluation argument

* declaration order fix

* proper model initialization/loading

* proper initialization

* run_mlm_flax improvements: improper model inputs bugfix + automatic dataset splitting + tokenizers parallelism warning + avoiding warmup_steps=0 bug

* removed tokenizers warning hack, fixed model re-initialization

* reverted training_args.py changes

* fix flax from pretrained

* improve test in flax

* apply sylvains tips

* update init

* make 0.3.0 compatible

* revert tevens changes

* revert tevens changes 2

* finalize revert

* fix bug

* add docs

* add pretrained to init

* Update src/transformers/modeling_flax_utils.py

* fix copies

* final improvements
Co-authored-by: TevenLeScao <teven.lescao@gmail.com>

* First commit: adding all files from tapas_v3

* Fix multiple bugs including soft dependency and new structure of the library

* Improve testing by adding torch_device to inputs and adding dependency on scatter

* Use Python 3 inheritance rather than Python 2

* First draft model cards of base sized models

* Remove model cards as they are already on the hub

* Fix multiple bugs with integration tests

* All model integration tests pass

* Remove print statement

* Add test for convert_logits_to_predictions method of TapasTokenizer

* Incorporate suggestions by Google authors

* Fix remaining tests

* Change position embeddings sizes to 512 instead of 1024

* Comment out positional embedding sizes

* Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

* Added more model names

* Fix truncation when no max length is specified

* Disable torchscript test

* Make style & make quality

* Quality

* Address CI needs

* Test the Masked LM model

* Fix the masked LM model

* Truncate when overflowing

* More much needed docs improvements

* Fix some URLs

* Some more docs improvements

* Test PyTorch scatter

* Set to slow + minify

* Calm flake8 down

* First commit: adding all files from tapas_v3

* Fix multiple bugs including soft dependency and new structure of the library

* Improve testing by adding torch_device to inputs and adding dependency on scatter

* Use Python 3 inheritance rather than Python 2

* First draft model cards of base sized models

* Remove model cards as they are already on the hub

* Fix multiple bugs with integration tests

* All model integration tests pass

* Remove print statement

* Add test for convert_logits_to_predictions method of TapasTokenizer

* Incorporate suggestions by Google authors

* Fix remaining tests

* Change position embeddings sizes to 512 instead of 1024

* Comment out positional embedding sizes

* Update PRETRAINED_VOCAB_FILES_MAP and PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES

* Added more model names

* Fix truncation when no max length is specified

* Disable torchscript test

* Make style & make quality

* Quality

* Address CI needs

* Test the Masked LM model

* Fix the masked LM model

* Truncate when overflowing

* More much needed docs improvements

* Fix some URLs

* Some more docs improvements

* Add add_pooling_layer argument to TapasModel

Fix comments by @sgugger and @patrickvonplaten

* Fix issue in docs + fix style and quality

* Clean up conversion script and add task parameter to TapasConfig

* Revert the task parameter of TapasConfig

Some minor fixes

* Improve conversion script and add test for absolute position embeddings

* Improve conversion script and add test for absolute position embeddings

* Fix bug with reset_position_index_per_cell arg of the conversion cli

* Add notebooks to the examples directory and fix style and quality

* Apply suggestions from code review

* Move from `nielsr/` to `google/` namespace

* Apply Sylvain's comments
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Rogge Niels <niels.rogge@howest.be>
Co-authored-by: LysandreJik <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* Add possibility to switch between APEX and AMP in Trainer

* Update src/transformers/training_args.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Address review comments

* Update src/transformers/training_args.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* reorder file

* delete unnecesarry function

* make style

* save intermediate

* fix attention masks

* correct tf bart past key values

* solve merge conflict bug

* correct tensor dims

* save intermediate tf

* change attn layer

* fix typo re-order past

* inputs_embeds

* make fix copies

* finish tests

* fix graph mode

* appyl lysandres suggestions

* TF OpenAI GPT Sequence Classification

* Update src/transformers/models/openai/modeling_tf_openai.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Fix tests for TF 2.4

* Remove <2.4 limitation

* Add version condition

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

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

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

k

* Fix T5 for graphe compilation+execution

* Fix BART

* Fix import

* Fix naming

* fix attribute name

* Oops

* fix import

* fix tests

* fix tests

* Update test

* Add mising import

* Address Patrick's comments

* Style

* Address Patrick's comment

* add model parallelism to T5EncoderModel

add model parallelism to T5EncoderModel

* remove decoder from T5EncoderModel parallelize

* uodate T5EncoderModel docs

* Extend T5ModelTest for T5EncoderModel

* fix T5Stask using range for get_device_map

* fix style
Co-authored-by: Ahmed Elnaggar <elnaggar@rostlab.informatik.tu-muenchen.de>

* fix rag

* fix slow test

* fix past in bart

* Resize the biases in same time than the embeddings

* Trigger CI

* Biases are not reset anymore

* Remove get_output_embeddings + better LM model detection in generation utils

* Apply style

* First test on BERT

* Update docstring + new name

* Apply the new resizing logic to all the models

* fix tests

* Apply style

* Update the template

* Fix naming

* Fix naming

* Apply style

* Apply style

* Remove unused import

* Revert get_output_embeddings

* Trigger CI

* Update num parameters

* Restore get_output_embeddings in TFPretrainedModel and add comments

* Style

* Add decoder resizing

* Style

* Fix tests

* Separate bias and decoder resize

* Fix tests

* Fix tests

* Apply style

* Add bias resizing in MPNet

* Trigger CI

* Apply style

* improve

* finish

* upload model

* fix lm head

* fix test

* remove make on the fly linear embedding

* start refactor

* big first refactor

* save intermediate

* save intermediat

* correct mask issue

* save tests

* refactor padding masks

* make all tests pass

* further refactor

* make pegasus test pass

* fix bool if

* fix leftover tests

* continue

* bart renaming

* delete torchscript test hack

* fix imports in tests

* correct shift

* fix docs and repo cons

* re-add fix for FSTM

* typo in test

* fix typo

* fix another typo

* continue

* hot fix 2 for tf

* small fixes

* refactor types linting

* continue

* finish refactor

* fix import in tests

* better bart names

* further refactor and add test

* delete hack

* apply sylvains and lysandres commens

* small perf improv

* further perf improv

* improv perf

* fix typo

* make style

* small perf improv

* Remove "Model" suffix from Flax models to look more :hugs:
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Initial working (forward + backward) for Flax MLM training example.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Simply code
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Addressing comments, using module and moving to LM task.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Restore parameter name "module" wrongly renamed model.
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Restore correct output ordering...
Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Actually commit the example 😅

Signed-off-by: Morgan Funtowicz <morgan@huggingface.co>

* Add FlaxBertModelForMaskedLM after rebasing.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make it possible to initialize the training from scratch
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Reuse flax linen example of cross entropy loss
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added specific data collator for flax
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Remove todo for data collator
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added evaluation step
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added ability to provide dtype to support bfloat16 on TPU
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable flax tensorboard output
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable jax.pmap support.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Ensure batches are correctly sized to be dispatched with jax.pmap
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable bfloat16 with --fp16 cmdline args
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Correctly export metrics to tensorboard
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added dropout and ability to use it.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Effectively enable & disable during training and evaluation steps.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Oops.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Enable specifying kernel initializer scale
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Style.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Added warmup step to the learning rate scheduler.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix typo.
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Print training loss
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make style
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* fix linter issue (flake8)
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix model matching
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix dummies
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Fix non default dtype on Flax models
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Use the same create_position_ids_from_input_ids for FlaxRoberta
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Make Roberta attention as Bert
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* fix copy
Signed-off-by: Morgan Funtowicz <funtowiczmo@gmail.com>

* Wording.
Co-authored-by: Marc van Zee <marcvanzee@gmail.com>
Co-authored-by: Marc van Zee <marcvanzee@gmail.com>

* diverse beam search

* bug fixes

* bug fixes

* bug fix

* separate out diverse_beam_search function

* separate out diverse_beam_search function

* bug fix

* improve code quality

* bug fix

* bug fix

* separate out diverse beam search scorer

* code format

* code format

* code format

* code format

* add test

* code format

* documentation changes

* code quality

* add slow integration tests

* more general name

* refactor into logits processor

* add test

* avoid too much copy paste

* refactor

* add to docs

* fix-copies

* bug fix

* Revert "bug fix"

This reverts commit c99eb5a8dc57a7b0d33a8ac06d8c6a32a7812ad4.

* improve comment

* implement sylvains feedback
Co-authored-by: Ayush Jain <a.jain@sprinklr.com>
Co-authored-by: ayushtiku5 <40797286+ayushtiku5@users.noreply.github.com>

* Add new SQUAD example

* Same with a task-specific Trainer

* Address review comment.

* Small fixes

* Initial work for XLNet

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Final clean up and working XLNet script

* Test and debug

* Final working version

* Add new SQUAD example

* Same with a task-specific Trainer

* Address review comment.

* Small fixes

* Initial work for XLNet

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Final clean up and working XLNet script

* Test and debug

* Final working version

* Add tick

* Update README

* Address review comments
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Removed unused `encoder_hidden_states` and `encoder_attention_mask` from MobileBert

* Removed decoder tests for MobileBert

* Removed now unnecessary import