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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, 14:45 UTC

[XPU][CI] Skip test_topk_only cases on Intel GPU in CI (#38899)

Signed-off-by: zengxian <xiangdong.zeng@intel.com>

xiangdong committed Apr 3, 2026 at 17:50 UTC cb4ff07f8b1747f77673222456dd3f3968aead9c
1 file changed +1 -1
.buildkite/intel_jobs/test-intel.yaml
+1 -1
@@ -56,7 +56,7 @@ steps:
56 'cd tests &&
57 pytest -v -s v1/core --ignore=v1/core/test_reset_prefix_cache_e2e.py --ignore=v1/core/test_scheduler_e2e.py &&
58 pytest -v -s v1/engine --ignore=v1/engine/test_output_processor.py &&
59 - pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py &&
59 + pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py -k "not test_topk_only" &&
60 pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py --ignore=v1/worker/test_worker_memory_snapshot.py &&
61 pytest -v -s v1/structured_output &&
62 pytest -v -s v1/test_serial_utils.py &&