TPU v3-8 deadlocks when using datasets larger than 2^15 on 8 devices

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### Bug description

Our tpu v3-8 deadlocks when using multiple 8 TPU cores on large datasets. Specifically, datasets larger than 2^15; one size larger and we get deadlock.

The deadlock occurs somewhere between somewhere between line [222](https://github.com/Lightning-AI/lightning/blob/ecffb2aa0cc430ddeb87d776ba51112cca87d4db/src/lightning/pytorch/loops/fit_loop.py#L222) and line [235](https://github.com/Lightning-AI/lightning/blob/ecffb2aa0cc430ddeb87d776ba51112cca87d4db/src/lightning/pytorch/loops/fit_loop.py#L235) in fit_loop.py. Works fine when using only a single core.

Using lightning 2.0.6 | tpu-vm-pt-2.0

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

v2.0

### How to reproduce the bug

```python
train_dataloader = DataLoader(
train_dataset,
batch_size=args.batch_size,
shuffle=True,
num_workers=args.num_workers,
#pin_memory=True,
#persistent_workers=True,
drop_last=True,
)
...

trainer = L.Trainer(
#callbacks=checkpoint_callbacks,
#logger=wandb_logger,
max_epochs=args.epochs,
accelerator=args.accelerator,
devices=args.devices,
precision=args.precision,
num_sanity_val_steps=0,
log_every_n_steps=10,
check_val_every_n_epoch=args.check_val_every_n_epoch,
#profiler="xla",
strategy="xla",
)
trainer.fit(
model,
train_dataloaders=train_dataloader,
#val_dataloaders=val_dataloader,
)
```

### Error messages and logs

E0727 11:55:45.723604 1727432 coredump_hook.cc:414] RAW: Remote crash data gathering hook invoked.
E0727 11:55:45.723633 1727432 coredump_hook.cc:453] RAW: Skipping coredump since rlimit was 0 at process start.
E0727 11:55:45.723659 1727432 client.cc:278] RAW: Coroner client retries enabled (b/136286901), will retry for up to 30 sec.
E0727 11:55:45.723670 1727432 coredump_hook.cc:512] RAW: Sending fingerprint to remote end.
E0727 11:55:45.723677 1727432 coredump_socket.cc:120] RAW: Stat failed errno=2 on socket /var/google/services/logmanagerd/remote_coredump.socket
E0727 11:55:45.723692 1727432 coredump_hook.cc:518] RAW: Cannot send fingerprint to Coroner: [NOT_FOUND] Missing crash reporting socket. Is the listener running?
E0727 11:55:45.723700 1727432 coredump_hook.cc:580] RAW: Dumping core locally.
E0727 11:55:46.275513 1727432 process_state.cc:784] RAW: Raising signal 11 with default behavior

### Environment

_No response_

### More info

_No response_

cc @carmocca @JackCaoG @Liyang90 @gkroiz @steventk-g

Start in src/lightning/pytorch/loops/fit_loop.py around lines 222-235, then reproduce the reported DataLoader and Trainer configuration with strategy="xla" on one versus eight TPU cores. Check where execution stops for datasets larger than 2^15 and use the reported TPU logs for context. Done means multi-device training no longer deadlocks for the larger dataset.

Written by the indexing model from the issue text.