diff --git a/vllm/compilation/decorators.py b/vllm/compilation/decorators.py
index f3592324d8cfa..1370862d580a5 100644
--- a/vllm/compilation/decorators.py
+++ b/vllm/compilation/decorators.py
@@ -108,7 +108,7 @@ def support_torch_compile(
     During runtime, when we actually mark dimensions of tensors,
      it depends on the value of arguments:
 
-    - if it is a single integer (can be negative), the corresponding dimension 
+    - if it is a single integer (can be negative), the corresponding dimension
         of the argument will be marked as dynamic.
     - if it is `None`, ignored.
     - if it is `IntermediateTensors`, all the tensors in the intermediate