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 2, 22:00 UTC
[Misc] Print accuracy value for PD tests even on success (#43583)
Signed-off-by: NickLucche <nlucches@redhat.com>
Nicolò Lucchesi committed
May 25, 2026 at 11:10 UTC
716d5294e6db16fe1d8afb09a061694cf4602d7e
1 file changed
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-1
tests/v1/kv_connector/nixl_integration/test_accuracy.py
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@@ -64,12 +64,12 @@ def test_accuracy():
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measured_value = results["results"][TASK][FILTER]
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expected_value = EXPECTED_VALUES.get(MODEL_NAME)
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+ print(f"Measured accuracy value: {measured_value}\n")
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if expected_value is None:
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print(
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f"Warning: No expected value found for {MODEL_NAME}. "
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"Skipping accuracy check."
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)
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- print(f"Measured value: {measured_value}")
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return
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assert (