Apply style fixes

Author: github-actions[bot]

src/diffusers/models/attention_dispatch.py

@@ -109,24 +109,27 @@
     import xformers.ops as xops
 else:
     xops = None
-    
+
 # Version guard for PyTorch compatibility - custom_op was added in PyTorch 2.4
 if torch.__version__ >= "2.4.0":
     _custom_op = torch.library.custom_op
     _register_fake = torch.library.register_fake
 else:
+
     def custom_op_no_op(name, fn=None, /, *, mutates_args, device_types=None, schema=None):
         def wrap(func):
             return func
+
         return wrap if fn is None else fn
-    
+
     def register_fake_no_op(op, fn=None, /, *, lib=None, _stacklevel=1):
         def wrap(func):
             return func
+
         return wrap if fn is None else fn
-    
+
     _custom_op = custom_op_no_op
-    _register_fake = register_fake_no_op    
+    _register_fake = register_fake_no_op
 
 
 logger = get_logger(__name__)  # pylint: disable=invalid-name
@@ -494,6 +497,7 @@ def _flex_attention_causal_mask_mod(batch_idx, head_idx, q_idx, kv_idx):
 # TODO: this is only required because the beta release FA3 does not have it. There is a PR adding
 # this but it was never merged: https://github.com/Dao-AILab/flash-attention/pull/1590
 
+
 @_custom_op("flash_attn_3::_flash_attn_forward", mutates_args=(), device_types="cuda")
 def _wrapped_flash_attn_3_original(
     query: torch.Tensor, key: torch.Tensor, value: torch.Tensor