Add support for NeMo Run to ASR
@pzelasko Ive added the AIS check, as well as a flag in cluster config `check_ais_paths` which can be disabled (via config or commandline) in case folks want to preserve speed instead of doing path checks.  [🤖]: Hi @titu1994 👋,

We wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11563509862) for this PR just finished successfully

So it might be time to merge this PR or get some approvals

I'm just a bot so I'll leave it you what to do next.

//cc @pablo-garay @ko3n1g This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days. This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days. This PR was closed because it has been inactive for 7 days since being marked as stale.
# What does this PR do ?

Adds NeMo run support to ASR and common utilities for Run to common collections

**Collection**: [ASR, Common]

# Changelog 
- Add specific line by line info of high level changes in this PR.

# Usage

## Local Execution 

conf/run_local.yaml

```yaml
# The script to be run.
script: ???
script_config: ???

exp_name: null  # populated by exp_manager.name if not provided
results_dir: ???  # Where to store the results of the run

num_runs: 1
num_tasks_per_node: 1

########################################################################################################################

executor: local

containers:
  asr: nvcr.io/nvidia/nemo:24.07  # or nvcr.io/nvidia/nemo:dev

mounts:
  - "~/.cache/torch/NeMo:/cache/torch/NeMo"  # To mount your nemo cache dir (if needed for pretrained models)
```


Call run_helper.py 

```python
python run_helper.py --config-path "conf" --config-name "run_local.yaml" \
  script=asr_ctc/speech_to_text_ctc_bpe.py \
  script_config=conf/conformer/conformer_ctc_bpe.yaml \
  results_dir=$PWD/results \
  ++model.train_ds.manifest_filepath=/manifests/train_clean_5.json \ 
  ++model.validation_ds.manifest_filepath="/manifests/dev_clean_2.json" \ 
  ++model.tokenizer.dir=/manifests/librispeech_tokenizer_spe_unigram_v1024 \ 
  ++mount_1="<Path to Manifests>/librispeech/manifests:/manifests" \ 
  ++mount_2="<Data Path>:/data"
```


## Cluster Execution

conf/run_slurm.yaml

```yaml
# The script to be run.
script: ???
script_config: ???

exp_name: null  # populated by exp_manager.name if not provided
results_dir: ???  # Where to store the results of the run

# Optional arguments
num_runs: 1
num_tasks_per_node: 8
max_runtime: "00:03:45:00"

########################################################################################################################

executor: slurm

ssh_tunnel:
  host: <CLUSTER HOST>
  # ------------------------------- Fill this up! -------------------------------
  user: "${USER}"  # your username; or resolved from ${USER} environment variable 
  job_dir: <DIRECTORY TO STORE NEMO RUN JOB INFO>
  identity: "${CLUSTER_SSH_IDENTITY}"
  # -----------------------------------------------------------------------------

account: <SLURM ACCOUNT>
partition: <SLURM PARTITIONS>
job_name_prefix: <JOB PREFIX NAMES>

containers:
  asr:  <CONTAINER NAME>

# These env vars are propagated to slurm runtime
env_vars:
  - 'TOKENIZERS_PARALLELISM=false'
  - 'LHOTSE_AUDIO_DURATION_MISMATCH_TOLERANCE=0.3'
  - 'TORCH_CUDNN_V8_API_ENABLED=1'
  - 'PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True'
  - 'HYDRA_FULL_ERROR=1'

# These env vars are propagated to slurm runtime
required_env_vars:
  - 'HF_TOKEN'

mounts:
  # Replace with your own paths in your cluster config
  - <DATA PATH>:/data
  - <CHECKPOINTS PATH>:/asr_checkpoints

timeouts:
  interactive: 04:00:00

########################################################################################################################

```

#### IMPORTANT NOTE

**NOTE**: Be very careful with using `${}` syntax inside of your hydra overrides - it will try to resolve using your env variables if you use double quotes ("). If you want to provide "hydra placeholders" - use SINGLE QUOTES (') as shown below for `++name` and `++results_dir`


Call run_helper.py

```python
python run_helper.py --config-path conf/ --config-name \ 
  run_slurm script=speech_multitask/speech_to_text_aed.py \
  script_config=conf/aed_config.yaml \
  exp_name=<JOB NAME> \
  results_dir='/results/${exp_name}' \
  num_runs=2 \
  ++trainer.num_nodes=2 \
  ++name='${exp_name}' \
  ++exp_manager.wandb_logger_kwargs.project="nemo_asr" \
  ++USER=$USER \
  ++CLUSTER_SSH_IDENTITY=$CLUSTER_SSH_IDENTITY
```

# GitHub Actions CI

The Jenkins CI system has been replaced by GitHub Actions self-hosted runners.

The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR.
To re-run CI remove and add the label again.
To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run".

# 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)
- [ ] 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.
