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2 changes: 1 addition & 1 deletion .buildkite/pipeline-intel.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ steps:
DOCKER_BUILDKIT: "1"
# Buildkite will automatically replace this with the actual commit hash
VLLM_IMAGE_TAG: "${BUILDKITE_COMMIT}"
VLLM_VERSION: "v0.21.0"
VLLM_VERSION: "v0.22.0"
priority: 100
timeout_in_minutes: 60
soft_fail: false
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,8 @@ def get_cuda_graph_config():
stage_config = get_cuda_graph_config()

# Create parameter combinations for model and stage config
test_params = [(model, stage_config) for model in models]
# Qwen2.5-Omni with TP=3 needs longer init timeout
test_params = [(model, stage_config, {"stage_init_timeout": 1200, "init_timeout": 1800}) for model in models]


def get_question(prompt_type="mix"):
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8 changes: 6 additions & 2 deletions tests/helpers/mark.py
Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,10 @@ def cuda_marks(*, res: str, num_cards: int):
return marks
test_distributed = pytest.mark.distributed_cuda(num_cards=num_cards)

if not current_platform.is_cuda():
return marks + [test_distributed]
Comment on lines +24 to +25

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P2 Badge Preserve a skip when no requested platform is present

When this helper is evaluated on a non-CUDA host it now returns only marker tags, with no skipif. For multi-platform tests where the other platform helpers also do not add a skip on the current host (for example test_qwen2_5_omni_expansion.py on a CPU-only or otherwise unsupported runner), the test is collected with no active skip and will try to start the large hardware-only model instead of being skipped. The intended XPU fix needs a cross-platform skip only when the current platform is not any of the resources requested, while still avoiding CUDA's skip from suppressing XPU runs.

Useful? React with 👍 / 👎.

test_skipif = pytest.mark.skipif(
not current_platform.is_cuda() or (current_platform.device_count() < num_cards),
current_platform.device_count() < num_cards,
reason=f"Need at least {num_cards} CUDA GPUs to run the test.",
)
return marks + [test_distributed, test_skipif]
Expand Down Expand Up @@ -52,8 +54,10 @@ def xpu_marks(*, res: str, num_cards: int):
return marks
test_distributed = pytest.mark.distributed_xpu(num_cards=num_cards)

if not current_platform.is_xpu():
return marks + [test_distributed]
test_skipif = pytest.mark.skipif(
not current_platform.is_xpu() or (current_platform.device_count() < num_cards),
current_platform.device_count() < num_cards,
reason=f"Need at least {num_cards} XPUs to run the test.",
)
return marks + [test_distributed, test_skipif]
Expand Down
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