Cannot pass `schedule` for `PyTorchProfiler` using `LightningCLI`

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### Bug description

In config file, something like this would work:
```
profiler:
class_path: lightning.pytorch.profilers.PyTorchProfiler
init_args:
filename: perf_logs
export_to_chrome: True
dict_kwargs:
with_stack: true
```

`dict_kwargs` is the recommended way to pass PyTorch profiler args and avoids validation. But for schedule, it needs to be a callable. How should I pass `torch.profiler.schedule`?

I tried this
```
profiler:
class_path: lightning.pytorch.profilers.PyTorchProfiler
init_args:
filename: perf_logs
export_to_chrome: True
dict_kwargs:
schedule: torch.profiler.schedule
init_args:
skip_first: 10
wait: 1
warmup: 1
active: 2
repeat: 1
with_stack: true
```

But it complains
```
Subtypes: (, , )
Errors:
- Schedule should be a callable. Found: torch.profiler.schedule
- Expected a
- Expected a
Given value type:
```

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

v2.2

### How to reproduce the bug

_No response_

### Error messages and logs

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

### Environment

Current environment

```
#- PyTorch Lightning Version (e.g., 1.5.0):
#- 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):
```

### More info

_No response_

cc @carmocca @mauvilsa

Start at the LightningCLI configuration path for PyTorchProfiler and inspect how dict_kwargs handles the schedule value and its nested arguments. Reproduce the reported v2.2 configuration, then verify that a torch.profiler.schedule callable can be configured without the validation errors shown in the issue.

Written by the indexing model from the issue text.