fix

Author: SunMarc

src/accelerate/hooks.py

@@ -111,13 +111,13 @@ def init_hook(self, module):
             module = hook.init_hook(module)
         return module
 
-    @torch.compiler.disable()
+    @torch.compiler.disable
     def pre_forward(self, module, *args, **kwargs):
         for hook in self.hooks:
             args, kwargs = hook.pre_forward(module, *args, **kwargs)
         return args, kwargs
 
-    @torch.compiler.disable()
+    @torch.compiler.disable
     def post_forward(self, module, output):
         for hook in self.hooks:
             output = hook.post_forward(module, output)
@@ -327,7 +327,7 @@ def init_hook(self, module):
 
         return module
 
-    @torch.compiler.disable()
+    @torch.compiler.disable
     def pre_forward(self, module, *args, **kwargs):
         if self.io_same_device:
             self.input_device = find_device([args, kwargs])
@@ -373,7 +373,7 @@ def pre_forward(self, module, *args, **kwargs):
             kwargs, self.execution_device, skip_keys=self.skip_keys
         )
 
-    @torch.compiler.disable()
+    @torch.compiler.disable
     def post_forward(self, module, output):
         if self.offload:
             for name, _ in named_module_tensors(
@@ -717,7 +717,7 @@ def __init__(
     def init_hook(self, module):
         return module.to("cpu")
 
-    @torch.compiler.disable()
+    @torch.compiler.disable
     def pre_forward(self, module, *args, **kwargs):
         if self.prev_module_hook is not None and isinstance(self.prev_module_hook, UserCpuOffloadHook):
             prev_module = self.prev_module_hook.model
@@ -772,12 +772,12 @@ def init_hook(self, module: torch.nn.Module):
         module.to(dtype=self.storage_dtype, non_blocking=self.non_blocking)
         return module
 
-    @torch.compiler.disable()
+    @torch.compiler.disable
     def pre_forward(self, module: torch.nn.Module, *args, **kwargs):
         module.to(dtype=self.compute_dtype, non_blocking=self.non_blocking)
         return args, kwargs
 
-    @torch.compiler.disable()
+    @torch.compiler.disable
     def post_forward(self, module: torch.nn.Module, output):
         module.to(dtype=self.storage_dtype, non_blocking=self.non_blocking)
         return output