text: Title: AttributeError: _hf_hook caused by delattr in hooks.remove_hook_from_module()
  Body: ### 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 <module>
      _ = 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.