A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 8, 22:45 UTC
[XPU] remove common path warning log (#33769)
Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>
Kunshang Ji committed
Feb 4, 2026 at 16:40 UTC
061da6bcf7d369cc2fb55a56b8bdc91fd9bc96d5
2 files changed
+8
-6
vllm/platforms/__init__.py
-5
@@ -140,11 +140,6 @@ def xpu_platform_plugin() -> str | None:
140
141
XPUPlatform.dist_backend = dist_backend
142
logger.debug("Confirmed %s backend is available.", XPUPlatform.dist_backend)
143
- else:
144
- logger.warning(
145
- "xccl is not enabled in this torch build, "
146
- "communication is not available."
147
- )
143
144
if hasattr(torch, "xpu") and torch.xpu.is_available():
145
is_xpu = True
vllm/platforms/xpu.py
+8
-1
@@ -34,7 +34,7 @@ class XPUPlatform(Platform):
34
# Intel XPU's device key is "GPU" for Ray.
35
# see https://github.com/ray-project/ray/blob/6a5eb5865eeb9ccf058a79b44f107e327e360673/python/ray/_private/accelerators/intel_gpu.py#L20 # noqa: E501
36
ray_device_key: str = "GPU"
37
- dist_backend: str = "ccl" # ccl | xccl
37
+ dist_backend: str = "xccl" # xccl only
38
device_control_env_var: str = "ZE_AFFINITY_MASK"
39
40
@classmethod
@@ -223,6 +223,13 @@ class XPUPlatform(Platform):
223
224
@classmethod
225
def get_device_communicator_cls(cls) -> str:
226
+ from vllm.utils.torch_utils import supports_xccl
227
+
228
+ if not supports_xccl():
229
+ logger.warning(
230
+ "xccl is not enabled in this torch build, communication"
231
+ " is not available."
232
+ )
233
return "vllm.distributed.device_communicators.xpu_communicator.XpuCommunicator" # noqa
234
235
@classmethod