A high-throughput and memory-efficient inference and serving engine for LLMs
[XPU] Fix test_logprobs_e2e import error: pin lm-eval[api]>=0.4.12 (#44469)
Signed-off-by: Chaojun Zhang <chaojun.zhang@intel.com>
Chaojun Zhang committed
Jun 17, 2026 at 20:26 UTC
06e1e0885c30a96413850d7fd9a1e6f3cfde414b
3 files changed
+6
-9
.buildkite/intel_jobs/misc_intel.yaml
+4
-2
@@ -57,14 +57,16 @@ steps:
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commands:
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- >-
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bash .buildkite/scripts/hardware_ci/run-intel-test.sh
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- 'export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
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+ 'pip install lm_eval[api]>=0.4.12 &&
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+ export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
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cd tests &&
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pytest -v -s v1/logits_processors --ignore=v1/logits_processors/test_custom_online.py --ignore=v1/logits_processors/test_custom_offline.py &&
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pytest -v -s v1/test_oracle.py &&
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pytest -v -s v1/test_request.py &&
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pytest -v -s v1/test_outputs.py &&
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pytest -v -s v1/sample/test_topk_topp_sampler.py &&
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- pytest -v -s v1/sample/test_logprobs.py'
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+ pytest -v -s v1/sample/test_logprobs.py &&
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+ pytest -v -s v1/sample/test_logprobs_e2e.py'
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- label: XPU CPU Offload
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timeout_in_minutes: 60
requirements/test/xpu.in
+1
-1
@@ -13,7 +13,7 @@ pytest-shard
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absl-py
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accelerate
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arctic-inference
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-lm_eval[api]
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+lm_eval[api]>=0.4.12
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modelscope
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# --- Audio Processing ---
requirements/test/xpu.txt
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-6
@@ -33,7 +33,6 @@ arctic-inference==0.1.1
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attrs==26.1.0
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# via
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# aiohttp
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- # jsonlines
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# jsonschema
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# referencing
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audioread==3.0.1
@@ -225,8 +224,6 @@ joblib==1.5.3
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# librosa
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# nltk
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# scikit-learn
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-jsonlines==4.0.0
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- # via lm-eval
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jsonschema==4.26.0
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# via
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# -c requirements/common.txt
@@ -247,7 +244,7 @@ librosa==0.10.2.post1
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# via -r requirements/test/xpu.in
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llvmlite==0.47.0
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# via numba
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-lm-eval==0.4.11
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+lm-eval==0.4.12
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# via -r requirements/test/xpu.in
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lxml==6.0.2
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# via
@@ -734,5 +731,3 @@ xxhash==3.6.0
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# evaluate
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yarl==1.23.0
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# via aiohttp
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-zstandard==0.25.0
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- # via lm-eval