Iterable dataset + DDP + SLURM + MultiGPU : Training stuck - error: The client socket has failed to connect to [ip6-localhost]:24355 (errno: 99 - Cannot assign requested address).

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### Bug description

I am trying to train a network on iterable style dataset. It works when I train on interactive node but when I submit job the training is stuck. I am posting this here after doing a lot of search on internet and on lightning git issues.

I get the error:
`
[W socket.cpp:601] [c10d] The client socket has failed to connect to [ip6-localhost]:24355 (errno: 99 - Cannot assign requested address).`

### What version are you seeing the problem on?

v2.0

### How to reproduce the bug

_No response_

### Error messages and logs

```
# Error messages and logs here please
```

### Environment

Current environment

```
#- Lightning Component (e.g. Trainer, LightningModule, LightningApp, LightningWork, LightningFlow):
#- PyTorch Lightning Version (e.g., 1.5.0):
#- Lightning App Version (e.g., 0.5.2):
#- PyTorch Version (e.g., 2.0):
#- Python version (e.g., 3.9):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
#- Running environment of LightningApp (e.g. local, cloud):
```

### More info

_No response_

Start by reproducing the v2.0 training setup with an iterable dataset, DDP, MultiGPU, and a submitted SLURM job rather than an interactive node. Inspect the client socket error and compare the two launch environments; done means the submitted training job no longer stalls.

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