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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

[CI] Add flashinfer.py to attention test source deps (#38792)

Signed-off-by: Stefano Castagnetta <scastagnetta@nvidia.com> Co-authored-by: Luka Govedič <ProExpertProg@users.noreply.github.com>

Stefano Castagnetta committed Apr 2, 2026 at 21:24 UTC 188defbd0bad837f59dd3fafe1dd779b4bd434cb
1 file changed +1
.buildkite/test_areas/kernels.yaml
+1
@@ -29,6 +29,7 @@ steps:
29 - vllm/v1/attention
30 # TODO: remove this dependency (https://github.com/vllm-project/vllm/issues/32267)
31 - vllm/model_executor/layers/attention
32 + - vllm/utils/flashinfer.py
33 - tests/kernels/attention
34 commands:
35 - pytest -v -s kernels/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT