[CI][Bugfix]Drop dummy-weight Qwen3-TTS Base from Ready CI (#6861)
Signed-off-by: wangyu <410167048@qq.com>
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@@ -85,6 +85,9 @@ steps:
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- vllm_omni/model_executor/models/common/alias_free_activation.py
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- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
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- vllm_omni/deploy/qwen3_tts.yaml
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- vllm_omni/entrypoints/openai/serving_speech.py
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- vllm_omni/entrypoints/openai/tts_adapters/
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- vllm_omni/engine/stage_pool.py
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commands:
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- |
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timeout 40m bash -c "
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@@ -104,6 +107,9 @@ steps:
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- vllm_omni/model_executor/models/common/alias_free_activation.py
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- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
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- vllm_omni/deploy/qwen3_tts.yaml
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- vllm_omni/entrypoints/openai/serving_speech.py
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- vllm_omni/entrypoints/openai/tts_adapters/
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- vllm_omni/engine/stage_pool.py
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- .buildkite/common/scripts/run_cov_split.sh
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- pyproject.toml
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# 40 -> 60: the coverage split runs the model twice.
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@@ -252,6 +252,9 @@ steps:
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- vllm_omni/model_executor/models/common/alias_free_activation.py
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- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
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- vllm_omni/deploy/qwen3_tts.yaml
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- vllm_omni/entrypoints/openai/serving_speech.py
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- vllm_omni/entrypoints/openai/tts_adapters/
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- vllm_omni/engine/stage_pool.py
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commands:
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- |
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timeout 20m bash -c "
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@@ -260,25 +263,6 @@ steps:
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"
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mirror_hardwares: l4_1
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- label: "TTS · Qwen3-TTS Base Test"
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source_file_dependencies:
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- tests/e2e/online_serving/test_qwen3_tts_base.py
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- vllm_omni/model_executor/models/qwen3_tts/
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- vllm_omni/model_executor/models/common/qwen3_code_predictor.py
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- vllm_omni/model_executor/models/common/snake_activation.py
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- vllm_omni/model_executor/models/common/alias_free_activation.py
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- vllm_omni/model_executor/stage_input_processors/qwen3_tts.py
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- vllm_omni/deploy/qwen3_tts.yaml
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commands:
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- |
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timeout 20m bash -c "
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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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mirror_hardwares: l4_1
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- label: "Diffusion · Wan22 Test"
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source_file_dependencies:
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- tests/e2e/online_serving/test_wan22_t2v.py
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@@ -55,7 +55,6 @@ tts_server_params = [
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@pytest.mark.advanced_model
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@pytest.mark.core_model
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@pytest.mark.tts
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@hardware_test(res={"cuda": "L4"}, num_cards=1)
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@pytest.mark.parametrize("omni_server", tts_server_params, indirect=True)
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