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This PR:

* fixes trainer to have the logger agree with the actual default `output_dir`, but setting it one place and passing it as an argument to both places

@sgugger

Bumps [notebook](https://github.com/jupyter/jupyterhub) from 6.1.4 to 6.1.5.
- [Release notes](https://github.com/jupyter/jupyterhub/releases)
- [Changelog](https://github.com/jupyterhub/jupyterhub/blob/master/CHECKLIST-Release.md)
- [Commits](https://github.com/jupyter/jupyterhub/commits

)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* add get_cached_models function

* add List type to import

* fix code quality

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

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

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

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

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

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

* fix a bug in eval_batch_retrieval

* should return parser as well as other staticmethod

* remove duplicate argument

* these kwargs are no longer accepted (cause TypeError in self.generator.generate of modeling_rag.py)

* fixed file paths in README

* moved an arg to add_ray_specific_args

* push

* make style

```
python -c "from apex.normalization import FusedProphetNetLayerNorm"
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ImportError: cannot import name 'FusedProphetNetLayerNorm' from 'apex.normalization' (/home/stas/anaconda3/envs/main-38/lib/python3.8/site-packages/apex/normalization/__init__.py)
```
It looks like this code has never been tested, so it silently fails inside try/except.

Discovered this by accident in https://github.com/huggingface/transformers/issues/9338#issuecomment-752217708

* Fix T5

* Fix test

* Fix test

[Seq2Seq Templates] Correct some TF-serving errors and add gradient checkpointing to PT by default. (#9334)

* correct tests

* correct shape and get_tf_activation

* more correction tf

* add gradient checkpointing to templates

* correct typo

* correct gpt2

* fix gpt2

* fix use_cache ordering

* correct past tolerance

* fix for all cases

* style

* Created using Colaboratory

* mbart-training examples add

* link add

* Update description
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* fix bart doc

* fix docs

Missing "s" typo

* Update modeling_encoder_decoder.py

Fixed typo.

* typo
Co-authored-by: Suraj Patil <surajp815@gmail.com>

* 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>

Fixes #9244
Co-authored-by: Jethro Kuan <jethro.kuan@bytedance.com>

* adapt templates

* adapt config

* add test as well

* fix output type

* fix cache false naming

* finish tests

* last fix

* 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

* typo: Revise "checkout" to "check out"

* typo: Change "seemlessly" to "seamlessly"

* typo: Close parentheses in "Using the tokenizer"

* typo: Add closing parenthesis to supported models aside

* docs: Treat ``position_ids`` as plural

Alternatively, the word "argument" could be added to make the subject singular.

* docs: Remove comma, making subordinate clause

* docs: Remove comma separating verb and direct object

* docs: Fix typo ("next" -> "text")

* docs: Reverse phrase order to simplify sentence

* docs: "quicktour" -> "quick tour"

* docs: "to throw" -> "from throwing"

* docs: Remove disruptive newline in padding/truncation section

* docs: "show exemplary" -> "show examples of"

* docs: "much harder as" -> "much harder than"

* docs: Fix typo "seach" -> "search"

* docs: Fix subject-verb disagreement in WordPiece description

* docs: Fix style in preprocessing.rst

* add enc dec pt model to check repo

* fix indent

TypeError: forward() got an unexpected keyword argument 'token_type_ids'

* 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

* Fix TF BART for saved model creation

* Apply style

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

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

* Rework the fix

* Fix condition

* Apply style

* Fix condition

* Fix shape_list

* Apply Patrick's solution

* Apply Patrick's solution

* Rebase

* make tests pass
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: patrickvonplaten <patrick.v.platen@gmail.com>