Sortformer Diarizer 4spk v1 model PR Part 1: models, modules and dataloaders
<!-- pylint-output-strict-mode-false -->

beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.

---

Your code was analyzed with PyLint. The following annotations have been identified:

```

------------------------------------
Your code has been rated at 10.00/10
```

---

Thank you for improving NeMo's documentation! <!-- pylint-output-strict-mode-false -->

beep boop 🤖: 🙏 The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.

---

Your code was analyzed with PyLint. The following annotations have been identified:

```

------------------------------------
Your code has been rated at 10.00/10
```

---

Thank you for improving NeMo's documentation! <!-- pylint-output-strict-mode-true -->

beep boop 🤖: 🚨 The following files must be fixed before merge!

---

Your code was analyzed with PyLint. The following annotations have been identified:

```

------------------------------------
Your code has been rated at 10.00/10
```

---

Thank you for improving NeMo's documentation!
# What does this PR do ?

Sortformer Diarizer Model, 4 speaker limit, v1

[Sortformer Paper Link](https://arxiv.org/pdf/2409.06656)

In this PR, we are adding: model files, module files and corresponding dataloader and evalutations.

**Collection**: ASR/speaker_tasks

# Changelog 

- model files
nemo/collections/asr/models/sortformer_diar_models.py

- module files
nemo/collections/asr/modules/sortformer_modules.py

- evaluation files
nemo/collections/asr/metrics/der.py
nemo/collections/asr/metrics/multi_binary_acc.py

- dataloader files
NeMo/nemo/collections/asr/data/audio_to_diar_label.py
NeMo/nemo/collections/asr/data/audio_to_diar_label_lhotse.py

- training yaml  
examples/speaker_tasks/diarization/conf/neural_diarizer/sortformer_diarizer_hybrid_loss_4spk-v1.yaml

- post-processing yaml files
NeMo/examples/speaker_tasks/diarization/conf/post_processing/sortformer_diar_4spk-v1_callhome-part1.yaml
NeMo/examples/speaker_tasks/diarization/conf/post_processing/sortformer_diar_4spk-v1_dihard-dev.yaml
NeMo/nemo/collections/asr/data/audio_to_diar_label.py
NeMo/nemo/collections/asr/data/audio_to_diar_label_lhotse.py

- util files
NeMo/nemo/collections/asr/parts/utils/speaker_utils.py
NeMo/nemo/collections/asr/parts/utils/vad_utils.py

- Changed the file names of these yaml files
 examples/speaker_tasks/diarization/neural_diarizer/sortformer_diar_train.py
 nemo/collections/asr/data/audio_to_diar_label.py
 nemo/collections/asr/models/__init__.py
 nemo/collections/asr/modules/sortformer_modules.py
 nemo/collections/asr/parts/utils/asr_multispeaker_utils.py
 nemo/collections/asr/parts/utils/speaker_utils.py
 nemo/collections/asr/parts/utils/vad_utils.py
 nemo/collections/common/parts/preprocessing/collections.py

# Usage
* You can potentially add a usage example below

```bash
python ${NEMO_ROOT}/examples/speaker_tasks/diarization/neural_diarizer/e2e_diarize_speech.py \
     model_path=/path/to/diar_sortformer_4spk-v1.nemo \
     dataset_manifest=/path/to/eval_dataset.json
```

# GitHub Actions CI

CI tests will be added in the second PR.
Third PR will include documents and tutorials.

# Before your PR is "Ready for review"
**Pre checks**:
- [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [x] Did you write any new necessary tests?
- [ ] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
- [ ] Reviewer: Does the PR have correct import guards for all optional libraries?
  
**PR Type**:
- [x] New Feature
- [ ] Bugfix
- [ ] Documentation

If you haven't finished some of the above items you can still open "Draft" PR.


## Who can review?

Anyone in the ASR and speaker_tasks

