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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 13, 12:00 UTC

[BugFix] Add test_outputs.py to CI pipeline (#28466)

Signed-off-by: Bradley <bradley.b.pitt@gmail.com> Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>

usberkeley committed Nov 12, 2025 at 00:01 UTC 3143eb23fc4e017bc31d11a9756d5a788d6f7e33
2 files changed +2
.buildkite/test-amd.yaml
+1
@@ -348,6 +348,7 @@ steps:
348 - pytest -v -s -m 'not cpu_test' v1/metrics
349 - pytest -v -s v1/test_oracle.py
350 - pytest -v -s v1/test_request.py
351 + - pytest -v -s v1/test_outputs.py
352 # Integration test for streaming correctness (requires special branch).
353 - pip install -U git+https://github.com/robertgshaw2-redhat/lm-evaluation-harness.git@streaming-api
354 - pytest -v -s entrypoints/openai/correctness/test_lmeval.py::test_lm_eval_accuracy_v1_engine
.buildkite/test-pipeline.yaml
+1
@@ -329,6 +329,7 @@ steps:
329 - pytest -v -s -m 'not cpu_test' v1/metrics
330 - pytest -v -s v1/test_oracle.py
331 - pytest -v -s v1/test_request.py
332 + - pytest -v -s v1/test_outputs.py
333 # Integration test for streaming correctness (requires special branch).
334 - pip install -U git+https://github.com/robertgshaw2-redhat/lm-evaluation-harness.git@streaming-api
335 - pytest -v -s entrypoints/openai/correctness/test_lmeval.py::test_lm_eval_accuracy_v1_engine