Add type hints for PyTorch Models
# What does this PR do?

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Add type hints to as many PyTorch models as possible.

This PR targets the following models to type hint entire files:
- Albert
- Bart
- Bert
- BertGeneration
- BigBird
- BigBirdPegasus
- Canine
- ConvBert
- ConvNext
- CTRL
- Data2VecText
- Data2VecAudio
- Hubert
- Marian
- MBart
- Nystromformer
- Wav2Vec2
- WavLM
- XGLM
- XLMRobertaXL
- Yoso

Any other file that has been edited is a result of running `make fix-copies`.

In the next PR, I will target few other models to type hint complete files.

<!-- Remove if not applicable -->

Fixes #16059 


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
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      to it if that's the case.
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      [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
      [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

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Models:

- albert, bert, xlm: @LysandreJik
- blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
- longformer, reformer, transfoxl, xlnet: @patrickvonplaten
- fsmt: @stas00
- funnel: @sgugger
- gpt2: @patrickvonplaten, @LysandreJik
- rag: @patrickvonplaten, @lhoestq
- tensorflow: @LysandreJik

Library:

- benchmarks: @patrickvonplaten
- deepspeed: @stas00
- ray/raytune: @richardliaw, @amogkam
- text generation: @patrickvonplaten
- tokenizers: @n1t0, @LysandreJik
- trainer: @sgugger
- pipelines: @LysandreJik

Documentation: @sgugger

HF projects:

- datasets: [different repo](https://github.com/huggingface/datasets)
- rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)

Examples:

- maintained examples (not research project or legacy): @sgugger, @patil-suraj
- research_projects/bert-loses-patience: @JetRunner
- research_projects/distillation: @VictorSanh

 -->
@Rocketknight1 
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_16425). All of your documentation changes will be reflected on that endpoint.<|||||>Hello all,

I changed the cokkiecutter template code because the `check_copies` script couldn't correct code that got changed to multiple lines.

Changing a method in Bart model:
```py
##########
## From ##
##########
# Copied from transformers.models.bart.modeling_bart.BartDecoder._prepare_decoder_attention_mask
def _prepare_decoder_attention_mask(self, attention_mask, input_shape, inputs_embeds, past_key_values_length):

########
## To ##
########
# Copied from transformers.models.bart.modeling_bart.BartDecoder._prepare_decoder_attention_mask
def _prepare_decoder_attention_mask(
    self,
    attention_mask: torch.Tensor,
    input_shape: torch.Size,
    inputs_embeds: torch.FloatTensor,
    past_key_values_length: int,
) -> Optional[torch.Tensor]:
```

The code correcter script would make the following change:
```py
# Copied from transformers.models.bart.modeling_bart.BartDecoder._prepare_decoder_attention_mask
def _prepare_decoder_attention_mask(self, attention_mask, input_shape, inputs_embeds, past_key_values_length):
    self,
    attention_mask: torch.Tensor,
    input_shape: torch.Size,
    inputs_embeds: torch.FloatTensor,
    past_key_values_length: int,
) -> Optional[torch.Tensor]:
```

Which caused the errors in [one of the test runs](https://github.com/huggingface/transformers/runs/5709841712?check_suite_focus=true).


Just commenting the reason here in case someone is taking a look at this PR later.<|||||>Hello all,

I have updated the code base with type hints for a few models. 
I will open a new PR for the remaining models after this one is merged, since this PR is getting bigger.

Thanks

cc: @Rocketknight1 <|||||>
Hello all,

The `Add model like runner` test is failing with an `ImportError` when starting to run the `Run all PyTorch modeling test` section of the tests with the following error:

```bash
ImportError: cannot import name 'get_current_traceback' from 'werkzeug.debug.tbtools' (/home/runner/.local/lib/python3.8/site-packages/werkzeug/debug/tbtools.py)
```
I am unsure as to what is causing the error and any leads on how to resolve this issue would be appreciated.

Thank you<|||||>Wow, this is a huge PR! Did you do this manually, or have you figured out some kind of tool for it?<|||||>Hello @Rocketknight1 ,

Yeah, I made all this manually. This was how I spent my weekend 😛.
<|||||>That's amazing! I'll try to review now.<|||||>This is a huge and very impressive PR, thank you! The main suggestion I have is that bools are not annotated in some cases, e.g. `output_attentions=False` should be `output_attentions: bool = False`, or `output_attentions: Optional[bool] = None` when the default is `None`. I'll try to recruit a couple of people from Huggingface to help me review the whole thing once that's resolved!<|||||>Hello, 

Sure, I can also a take a look once again to fix the missing ones.
I had some doubts with a few of the types and I will post them here later to get the types for them and later update.

Thanks for the update and glad you liked the work.<|||||>Absolutely! I saw in some cases `past` was missing annotations - if you're unsure about annotations like that, you can usually check the docstrings for the `past` or `past_key_values` argument for that model - it'll be something like `Tuple[torch.Tensor]`<|||||>Sure, later in the process I figured out the type and I had added for a few files. Fill fix for others as well.<|||||>Note that `past`/`past_key_values` can have different structure in different models!<|||||>Ohhh, thanks for the heads up.<|||||>@karthikrangasai The best way to make sure the type hints are correct is to check the [Model Name]_INPUTS_DOCSTRING, right before the first user interfaced forward method<|||||>Hello @Tegzes ,
I checked that for all forward methods. But it might be possible that I missed it for a few files.

I have type hinted the entire file, from first function to last class. So i might have missed something in other places.<|||||>Hi @karthikrangasai ! This is totally my bad - other PRs came in and I reviewed them without realizing they would create conflicts with your one. Would it be possible to break this PR up into a few separate ones and submit them one at a time? That greatly reduces the chances of conflicts for each one, and it'll make it possible for me to add specific comments/suggestions, whereas at this size I really can just give general advice!<|||||>Hello @Rocketknight1 ,

Yeah sure.
I would like to completely work on the typing issues if that's fine with you ( for all PyTorch Models - complete file).

I will break the PR into multiple ones based on the corrections made or the model that was type hinted.

Should I close this one then ?<|||||>Hi @karthikrangasai, sorry for the delay! Yeah, it's probably easiest to close this one, make new ones and just tag me in them. Thank you!