[CI][Bugfix]Drop dummy-weight Qwen3-TTS Base from Ready CI (#6861)

Signed-off-by: wangyu <410167048@qq.com>
This commit is contained in:
wangyu authored and GitHub committed 2026-08-31 12:13:26 +00:00
1 parent fe4a2a7477
commit 3d1ad0c0f4
3 files changed
+9 -20

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+6
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@@ -85,6 +85,9 @@ steps:
- vllm_omni/model_executor/models/common/alias_free_activation.py
- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
- vllm_omni/deploy/qwen3_tts.yaml
- vllm_omni/entrypoints/openai/serving_speech.py
- vllm_omni/entrypoints/openai/tts_adapters/
- vllm_omni/engine/stage_pool.py
commands:
- |
timeout 40m bash -c "
@@ -104,6 +107,9 @@ steps:
- vllm_omni/model_executor/models/common/alias_free_activation.py
- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
- vllm_omni/deploy/qwen3_tts.yaml
- vllm_omni/entrypoints/openai/serving_speech.py
- vllm_omni/entrypoints/openai/tts_adapters/
- vllm_omni/engine/stage_pool.py
- .buildkite/common/scripts/run_cov_split.sh
- pyproject.toml
# 40 -> 60: the coverage split runs the model twice.
+3 -19
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@@ -252,6 +252,9 @@ steps:
- vllm_omni/model_executor/models/common/alias_free_activation.py
- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
- vllm_omni/deploy/qwen3_tts.yaml
- vllm_omni/entrypoints/openai/serving_speech.py
- vllm_omni/entrypoints/openai/tts_adapters/
- vllm_omni/engine/stage_pool.py
commands:
- |
timeout 20m bash -c "
@@ -260,25 +263,6 @@ steps:
"
mirror_hardwares: l4_1
- label: "TTS · Qwen3-TTS Base Test"
source_file_dependencies:
- tests/e2e/online_serving/test_qwen3_tts_base.py
- vllm_omni/model_executor/models/qwen3_tts/
- vllm_omni/model_executor/models/common/qwen3_code_predictor.py
- vllm_omni/model_executor/models/common/snake_activation.py
- vllm_omni/model_executor/models/common/alias_free_activation.py
- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
- vllm_omni/deploy/qwen3_tts.yaml
commands:
- |
timeout 20m bash -c "
export VLLM_WORKER_MULTIPROC_METHOD=spawn
export VLLM_ALLOW_LONG_MAX_MODEL_LEN=1
export VLLM_OMNI_USE_V2_RUNNER=1
pytest -s -v tests/e2e/online_serving/test_qwen3_tts_base.py -m 'core_model' --run-level 'core_model'
"
mirror_hardwares: l4_1
- label: "Diffusion · Wan22 Test"
source_file_dependencies:
- tests/e2e/online_serving/test_wan22_t2v.py
@@ -55,7 +55,6 @@ tts_server_params = [
@pytest.mark.advanced_model
@pytest.mark.core_model
@pytest.mark.tts
@hardware_test(res={"cuda": "L4"}, num_cards=1)
@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)