AttributeError: _hf_hook caused by delattr in hooks.remove_hook_from_module()

### System Info

```Shell
- `Accelerate` version: 1.4.0.dev0
- Platform: Linux-6.2.0-39-generic-x86_64-with-glibc2.39
- `accelerate` bash location: /workspaces/.venv_py311/bin/accelerate
- Python version: 3.11.11
- Numpy version: 1.26.3
- PyTorch version (GPU?): 2.5.1+rocm6.2 (True)
- System RAM: 1007.70 GB
- GPU type: AMD Instinct MI250X/MI250
- `Accelerate` default config:
Not found
```

### Information

- [ ] The official example scripts
- [X] My own modified scripts

### Tasks

- [ ] One of the scripts in the examples/ folder of Accelerate or an officially supported `no_trainer` script in the `examples` folder of the `transformers` repo (such as `run_no_trainer_glue.py`)
- [X] My own task or dataset (give details below)

### Reproduction

When using the HunyuanVideo model via diffusers framework with the following script:

```
import torch
from diffusers import HunyuanVideoPipeline, HunyuanVideoTransformer3DModel

MODEL_ID = "hunyuanvideo-community/HunyuanVideo"
PROMPT = "A cat walks on the grass, realistic"

transformer = HunyuanVideoTransformer3DModel.from_pretrained(
MODEL_ID, subfolder="transformer", torch_dtype=torch.bfloat16
)
pipe = HunyuanVideoPipeline.from_pretrained(
MODEL_ID, transformer=transformer, torch_dtype=torch.float16
)

pipe.enable_model_cpu_offload()
pipe.vae.enable_tiling()
pipe.vae.enable_slicing()

pipe.transformer = torch.compile(pipe.transformer, mode="default")

# Warmup
_ = pipe(
prompt=PROMPT,
height=320,
width=512,
num_frames=61,
num_inference_steps=1,
max_sequence_length=256,
guidance_scale=0.0,
generator=torch.Generator(device="cuda").manual_seed(42),
)

# Inference
output = pipe(
prompt=PROMPT,
height=320,
width=512,
num_frames=61,
num_inference_steps=30,
max_sequence_length=256,
guidance_scale=0.0,
output_type="pil",
generator=torch.Generator(device="cuda").manual_seed(42),
)
```

Following error arises:

```
Traceback (most recent call last):
File "/workspaces/huvideo_diffusers_repro.py", line 21, in
_ = pipe(
^^^^^
File "/workspaces/.venv_py311/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/workspaces/diffusers/src/diffusers/pipelines/hunyuan_video/pipeline_hunyuan_video.py", line 689, in __call__
self.maybe_free_model_hooks()
File "/workspaces/diffusers/src/diffusers/pipelines/pipeline_utils.py", line 1119, in maybe_free_model_hooks
self.enable_model_cpu_offload(device=getattr(self, "_offload_device", "cuda"))
File "/workspaces/diffusers/src/diffusers/pipelines/pipeline_utils.py", line 1050, in enable_model_cpu_offload
self.remove_all_hooks()
File "/workspaces/diffusers/src/diffusers/pipelines/pipeline_utils.py", line 1017, in remove_all_hooks
accelerate.hooks.remove_hook_from_module(model, recurse=True)
File "/workspaces/accelerate/src/accelerate/hooks.py", line 203, in remove_hook_from_module
delattr(module, "_hf_hook")
File "/workspaces/.venv_py311/lib/python3.11/site-packages/torch/nn/modules/module.py", line 2043, in __delattr__
super().__delattr__(name)
AttributeError: 'OptimizedModule' object has no attribute '_hf_hook'
```

When wrapping these two lines with `try ... except`, the run succeeds.

https://github.com/huggingface/accelerate/blob/main/src/accelerate/hooks.py#L203
https://github.com/huggingface/accelerate/blob/main/src/accelerate/hooks.py#L212

If we still log the exceptions, they produce:

```
Error: AttributeError – 'OptimizedModule' object has no attribute '_hf_hook'
Error: AttributeError – 'OptimizedModule' object has no attribute '_old_forward'
```

This indicates that there seems to be a logical error when using the following coding pattern:

```
if hasattr(object, attr):
delattr(object, attr)
```

Suggesting that even though `hasattr` returns True, there is no guarantee `delattr` will work as intended.

### Expected behavior

Successful run without errors when using torch.compile and cpu model offloading.