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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 5, 09:45 UTC

[XPU] Skip VLLM_BATCH_INVARIANT for XPU in EAGLE DP test (#39164)

Signed-off-by: sihao.li <sihao.li@intel.com> Co-authored-by: Kunshang Ji <kunshang.ji@intel.com>

sihao_li committed Apr 9, 2026 at 12:45 UTC e80e633927ab11570cc4d07a55e5420d05c7fe99
1 file changed +1 -1
tests/v1/distributed/test_eagle_dp.py
+1 -1
@@ -37,7 +37,7 @@ else:
37 strict=False,
38 )
39 async def test_run_eagle_dp(monkeypatch: pytest.MonkeyPatch, attn_backend: str):
40 - if not current_platform.is_rocm():
40 + if not current_platform.is_rocm() and not current_platform.is_xpu():
41 # This test checks that running a model with and without eagle
42 # leads to identical tokens.
43 #