[Test] Add ModelRunner V2 with Qwen3-TTS Base E2E Test to CI pipeline (#2321)
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>
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@@ -367,6 +367,33 @@ steps:
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volumes:
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- "/fsx/hf_cache:/fsx/hf_cache"
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- label: "Qwen3-TTS Base E2E Test (ModelRunner V2)"
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depends_on: upload-ready-pipeline
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soft_fail:
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- exit_status: 1
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commands:
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- |
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timeout 20m bash -c '
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export VLLM_LOGGING_LEVEL=DEBUG
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export VLLM_WORKER_MULTIPROC_METHOD=spawn
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export VLLM_ALLOW_LONG_MAX_MODEL_LEN="1"
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export VLLM_OMNI_USE_V2_RUNNER="1"
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pytest -s -v tests/e2e/online_serving/test_qwen3_tts_base.py -m "core_model" --run-level "core_model"
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'
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agents:
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queue: "gpu_1_queue"
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plugins:
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- docker#v5.2.0:
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image: public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:$BUILDKITE_COMMIT
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always-pull: true
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propagate-environment: true
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shm-size: "8gb"
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environment:
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- "HF_HOME=/fsx/hf_cache"
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- "HF_TOKEN"
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volumes:
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- "/fsx/hf_cache:/fsx/hf_cache"
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- label: "Voxtral-TTS E2E Test"
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timeout_in_minutes: 20
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depends_on: upload-ready-pipeline
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