edit: cast attention_mask to long in DataCollatorCTCWithPadding
Author: ddobokki
Pull request: yes

# What does this PR do?
many inf values generated when training Wav2Vec2ForCTC by referring to [run_speech_recognition_ctc.py](https://github.com/huggingface/transformers/blob/main/examples/pytorch/speech-recognition/run_speech_recognition_ctc.py) using DeepSpeed library.

because Wav2Vec2ForCTC's forword has logics that sum attention_mask, so if you training model using DeepSpeed, 
https://github.com/huggingface/transformers/blob/7e7f62bfa72ca03e9f16285dad182f7c57cd8cab/src/transformers/trainer.py#L2390
this method cast attention_mask's dtype int32 to float16

Wav2Vec2FeatureExtractor makes attention_mask and it's dtype int32
here is example
```
import torch
from transformers import Wav2Vec2FeatureExtractor

feature_extractor = Wav2Vec2FeatureExtractor(return_attention_mask=True)
data = [{'input_values':[0.1,0.1,0.1]},{'input_values':[0.2,0.2,0.2,0.2,0.2]}]
attn_mask = feature_extractor.pad(data,padding = "longest",return_tensors="pt")['attention_mask']
print(attn_mask.dtype)
-> torch.int32
```

so i add one line in DataCollatorCTCWithPadding that attention_mask casting long type from int32
```
batch['attention_mask'] = batch['attention_mask'].to(torch.long)
```

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Fixes # [18080](https://github.com/huggingface/transformers/issues/18080)


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Comments:
_The documentation is not available anymore as the PR was closed or merged._

i add more line
```
if "attention_mask" in batch:
```
bcz some case, feature_extractor has config that ["return_attention_mask": false]
but is
```
if self.processor.feature_extractor.return_attention_mask:
```
more good to read? if so, i'll change that