Unable to run with --force-fp16 on M2 Max

I tried multiple models, and they don't work with --force-fp16

Is there anything wrong with my setup?
```log
Python 3.11.6 (main, Oct 2 2023, 13:45:54) [Clang 15.0.0 (clang-1500.0.40.1)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> if torch.backends.mps.is_available():
... mps_device = torch.device("mps")
... x = torch.ones(1, device=mps_device)
... print (x)
... else:
... print ("MPS device not found.")
...
tensor([1.], device='mps:0')
>>> print ("MPS device not found.")

➜ ComfyUI git:(master) ✗ python3 main.py --force-fp16
Total VRAM 32768 MB, total RAM 32768 MB
Forcing FP16.
Set vram state to: SHARED
Device: mps
VAE dtype: torch.float32
Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention
Starting server

To see the GUI go to: http://127.0.0.1:8188
got prompt
model_type EPS
adm 2816
Using split attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using split attention in VAE
missing {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
left over keys: dict_keys(['cond_stage_model.clip_l.transformer.text_model.embeddings.position_ids'])
Requested to load SDXLClipModel
Loading 1 new model
Requested to load SDXL
Loading 1 new model
0%| | 0/20 [00:00' and 'tensor<1xf32>' are not broadcast compatible
LLVM ERROR: Failed to infer result type(s).
[1] 89246 abort python3 main.py --force-fp16
/opt/homebrew/Cellar/python@3.11/3.11.6_1/Frameworks/Python.framework/Versions/3.11/lib/python3.11/multiprocessing/resource_tracker.py:254: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d '
```