[Hardware][CPU] using current_platform.is_cpu (#9536)

vllm/model_executor/models/utils.py

@@ -21,7 +21,7 @@ from vllm.model_executor.models import ModelRegistry
 from vllm.multimodal.base import NestedTensors
 from vllm.platforms import current_platform
 from vllm.sequence import IntermediateTensors
-from vllm.utils import is_cpu, is_pin_memory_available
+from vllm.utils import is_pin_memory_available
 
 logger = init_logger(__name__)
 
@@ -474,7 +474,7 @@ def make_empty_intermediate_tensors_factory(keys: List[str], hidden_size: int):
 
 class LLMWrapper(nn.Module):
     """
-    To align with the key names of LoRA trained with PEFT, we need to add an 
+    To align with the key names of LoRA trained with PEFT, we need to add an
     additional layer to the llm's implementation.
     """
 
@@ -515,7 +515,7 @@ def get_vit_attn_backend() -> _Backend:
                     "so we use xformers backend instead. You can run "
                     "`pip install flash-attn` to use flash-attention backend.")
                 selected_backend = _Backend.XFORMERS
-        elif is_cpu():
+        elif current_platform.is_cpu():
             selected_backend = _Backend.TORCH_SDPA
         else:
             selected_backend = _Backend.XFORMERS