[XPU] Update latest IPEX 2.8 release (#27735)

Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>

.buildkite/scripts/hardware_ci/run-xpu-test.sh

@@ -20,7 +20,10 @@ trap remove_docker_container EXIT
 
 # Run the image and test offline inference/tensor parallel
 docker run \
-    --device /dev/dri \
+    --device /dev/dri:/dev/dri \
+    --net=host \
+    --ipc=host \
+    --privileged \
     -v /dev/dri/by-path:/dev/dri/by-path \
     --entrypoint="" \
     -e "HF_TOKEN=${HF_TOKEN}" \
@@ -42,7 +45,7 @@ docker run \
     pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py
     pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py
     pytest -v -s v1/structured_output
-    pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_tree_attention.py
+    pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_tree_attention.py --ignore=v1/spec_decode/test_speculators_eagle3.py
     pytest -v -s v1/kv_connector/unit --ignore=v1/kv_connector/unit/test_multi_connector.py --ignore=v1/kv_connector/unit/test_nixl_connector.py --ignore=v1/kv_connector/unit/test_shared_storage_connector.py
     pytest -v -s v1/test_serial_utils.py
 '

docs/getting_started/installation/gpu.xpu.inc.md

@@ -56,8 +56,10 @@ docker build -f docker/Dockerfile.xpu -t vllm-xpu-env --shm-size=4g .
 docker run -it \
              --rm \
              --network=host \
-             --device /dev/dri \
+             --device /dev/dri:/dev/dri \
              -v /dev/dri/by-path:/dev/dri/by-path \
+             --ipc=host \
+             --privileged \
              vllm-xpu-env
 ```
 

requirements/xpu.txt

@@ -15,4 +15,4 @@ torchaudio
 torchvision
 --extra-index-url=https://download.pytorch.org/whl/xpu
 
-intel-extension-for-pytorch @ https://intel-extension-for-pytorch.s3.us-east-1.amazonaws.com/ipex_dev/xpu/intel_extension_for_pytorch-2.8.10.post0%2Bxpu-cp312-cp312-linux_x86_64.whl
+intel-extension-for-pytorch @ https://intel-extension-for-pytorch.s3.us-east-1.amazonaws.com/ipex_dev/xpu/intel_extension_for_pytorch-2.8.10.post1%2Bxpu-cp312-cp312-linux_x86_64.whl

vllm/_ipex_ops.py

@@ -151,7 +151,9 @@ class ipex_ops:
     def rms_norm(
         input: torch.Tensor, weight: torch.Tensor, epsilon: float
     ) -> torch.Tensor:
-        return ipex.llm.functional.rms_norm(input, weight, epsilon)
+        out = torch.empty_like(input)
+        torch.ops.torch_ipex.rms_norm_vllm(out, input.contiguous(), weight, epsilon)
+        return out
 
     @staticmethod
     def fused_add_rms_norm(
@@ -160,10 +162,7 @@ class ipex_ops:
         weight: torch.Tensor,
         epsilon: float,
     ) -> None:
-        tmp = ipex.llm.functional.add_rms_norm(
-            residual, input, weight, None, epsilon, True
-        )
-        input.copy_(tmp)
+        torch.ops.torch_ipex.fused_add_rms_norm_vllm(input, residual, weight, epsilon)
 
     @staticmethod
     def varlen_attention(
@@ -296,16 +295,6 @@ class ipex_ops:
         num_splits=0,
         s_aux: torch.Tensor | None = None,
     ):
-        if cu_seqlens_k is None:
-            # cu_seqlens_k is not used in ipex kernel.
-            cu_seqlens_k = torch.cumsum(seqused_k, dim=0)
-            cu_seqlens_k = torch.cat(
-                [
-                    torch.tensor([0], device=seqused_k.device, dtype=torch.int32),
-                    cu_seqlens_k,
-                ]
-            ).to(torch.int32)
-
         real_window_size: tuple[int, int]
         if window_size is None:
             real_window_size = (-1, -1)
@@ -318,7 +307,7 @@ class ipex_ops:
             k,
             v,
             cu_seqlens_q,
-            cu_seqlens_k,
+            seqused_k,
             max_seqlen_q,
             max_seqlen_k,
             softmax_scale,