[Bugfix][XPU] fix silu_and_mul (#11823)

Signed-off-by: yan ma <yan.ma@intel.com>

Author: yma11

vllm/model_executor/layers/activation.py

@@ -64,8 +64,8 @@ def __init__(self):
         if current_platform.is_cuda_alike() or current_platform.is_cpu():
             self.op = torch.ops._C.silu_and_mul
         elif current_platform.is_xpu():
-            import intel_extension_for_pytorch as ipex
-            self.op = ipex.llm.functional.silu_and_mul
+            from vllm._ipex_ops import ipex_ops
+            self.op = ipex_ops.silu_and_mul
 
     def forward_native(self, x: torch.Tensor) -> torch.Tensor:
         """PyTorch-native implementation equivalent to forward()."""

vllm/plugins/__init__.py

@@ -63,16 +63,15 @@ def load_general_plugins():
     from vllm.platforms import current_platform
 
     if current_platform.is_xpu():
-        # see https://github.com/pytorch/pytorch/blob/8cada5cbe5450e17c26fb8b358116785324537b2/torch/_dynamo/config.py#L158  # noqa
-        os.environ['TORCH_COMPILE_DISABLE'] = 'True'
+        # see https://github.com/pytorch/pytorch/blob/43c5f59/torch/_dynamo/config.py#L158
+        torch._dynamo.config.disable = True
     if current_platform.is_hpu():
         # NOTE(kzawora): PT HPU lazy backend (PT_HPU_LAZY_MODE = 1)
         # does not support torch.compile
         # Eager backend (PT_HPU_LAZY_MODE = 0) must be selected for
         # torch.compile support
         is_lazy = os.environ.get('PT_HPU_LAZY_MODE', '1') == '1'
         if is_lazy:
-            # see https://github.com/pytorch/pytorch/blob/43c5f59/torch/_dynamo/config.py#L158
             torch._dynamo.config.disable = True
             # NOTE(kzawora) multi-HPU inference with HPUGraphs (lazy-only)
             # requires enabling lazy collectives