Updating a nn.Module attribute in forward raises an exception in prologue trace.

Nobody has claimed this yet.

```python
import torch
import thunder

import thunder.examine

class MyModule(torch.nn.Module):
def __init__(self) -> None:
super().__init__()
self.bar = 1

def forward(self, x):
self.bar = self.bar + 1
# self.bar = 2 # This works
return x

m = MyModule()

x = torch.randn(16, 16, device='cuda')

jit_linear = thunder.jit(m)

o = jit_linear(x)
```

Error:
```
File "/home/kkalambarkar/lightning-thunder/thunder/__init__.py", line 537, in get_computation_and_inputs
inps = pro(*args, **kwargs)
File "/home/kkalambarkar/git/pytorch/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/kkalambarkar/miniconda3/envs/pytorch-dev/lib/python3.10/contextlib.py", line 79, in inner
return func(*args, **kwds)
File "thunder.prologue_0", line 16, in prologue
File "/home/kkalambarkar/lightning-thunder/thunder/executors/pythonex.py", line 100, in _check_number_type_and_value_impl
utils.check(
File "/home/kkalambarkar/lightning-thunder/thunder/core/baseutils.py", line 103, in check
raise exception_type(s())
RuntimeError: Expected 2 to be equal to and have the type of 1
```

cc @apaz-cli

Start by reproducing the example in the issue, then inspect thunder/__init__.py around get_computation_and_inputs and thunder/executors/pythonex.py around _check_number_type_and_value_impl. Trace how the prologue handles self.bar changing from 1 to 2. Done means the example no longer raises the type/value error while preserving the attribute update.

Written by the indexing model from the issue text.