more general inplace support (index_copy_ in litgpt fails to trace)

@ali-alshaar7 is already working on this.

Since Feb 4, 2025.

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## 🐛 Bug

### To Reproduce

Steps to reproduce the behavior:

1. Go to '...'
1. Run '....'
1. Scroll down to '....'
1. See error

#### Code sample

```
import thunder, torch, litgpt

with torch.device('cuda'):
m = litgpt.GPT.from_name('Llama-3.2-1B').bfloat16().requires_grad_(False)
m.max_seq_length = 1024
m.set_kv_cache(16)
inp1 = torch.ones(2, 16, device="cuda", dtype=torch.int32)
inp_pos1 = torch.stack([torch.arange(16, device="cuda") for _ in range(2)])
jm = thunder.jit(m)
jm(inp1, inp_pos1)
```

fail with

```
File "/teamspace/studios/this_studio/lightning-thunder/thunder/__init__.py", line 547, in get_computation_and_inputs
orig_to_view_swap_map = check_inplace_to_views(computation_trc)
File "/teamspace/studios/this_studio/lightning-thunder/thunder/core/functionalization.py", line 100, in check_inplace_to_views
check(
File "/teamspace/studios/this_studio/lightning-thunder/thunder/core/baseutils.py", line 146, in check
raise exception_type(s())
NotImplementedError: in-place op of `torch.Tensor.index_copy_` to ``, a view tensor of `` is not supported because 524288 != 1048576
```

### Expected behavior

it compiles

### Environment

- PyTorch Version (e.g., 1.0):
- OS (e.g., Linux):
- How you installed PyTorch (`conda`, `pip`, source):
- Build command you used (if compiling from source):
- Python version:
- CUDA/cuDNN version:
- GPU models and configuration:
- Any other relevant information:

### Additional context