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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 12, 09:45 UTC

[CI/Build] Rework CPU multimodal processor test (#29684)

Signed-off-by: Isotr0py <mozf@mail2.sysu.edu.cn>

Isotr0py committed Nov 29, 2025 at 01:10 UTC d40c854009225adde370be30a1a876afe1e5b529
1 file changed +12 -2
.buildkite/test-pipeline.yaml
+12 -2
@@ -820,14 +820,24 @@ steps:
820 commands:
821 - pytest -v -s models/language/pooling_mteb_test
822
823 -- label: Multi-Modal Processor Test # 44min
823 +- label: Multi-Modal Processor Test (CPU)
824 + timeout_in_minutes: 60
825 + source_file_dependencies:
826 + - vllm/
827 + - tests/models/multimodal
828 + no_gpu: true
829 + commands:
830 + - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
831 + - pytest -v -s models/multimodal/processing --ignore models/multimodal/processing/test_tensor_schema.py
832 +
833 +- label: Multi-Modal Processor Test
834 timeout_in_minutes: 60
835 source_file_dependencies:
836 - vllm/
837 - tests/models/multimodal
838 commands:
839 - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
830 - - pytest -v -s models/multimodal/processing
840 + - pytest -v -s models/multimodal/processing/test_tensor_schema.py
841
842 - label: Multi-Modal Models Test (Standard) # 60min
843 timeout_in_minutes: 80