add SLA information into comparison graph for vLLM Benchmark Suite (#25525)
Signed-off-by: Tsai, Louie <louie.tsai@intel.com> Signed-off-by: louie-tsai <louie.tsai@intel.com> Signed-off-by: Louie Tsai <louie.tsai@intel.com> Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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@@ -63,9 +63,11 @@ serving_column_mapping = {
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"mean_ttft_ms": "Mean TTFT (ms)",
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"median_ttft_ms": "Median TTFT (ms)",
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"p99_ttft_ms": "P99 TTFT (ms)",
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"std_ttft_ms": "STD TTFT (ms)",
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"mean_tpot_ms": "Mean TPOT (ms)",
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"median_tpot_ms": "Median",
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"p99_tpot_ms": "P99",
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"std_tpot_ms": "STD TPOT (ms)",
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"mean_itl_ms": "Mean ITL (ms)",
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"median_itl_ms": "Median ITL (ms)",
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"p99_itl_ms": "P99 ITL (ms)",
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@@ -368,7 +370,7 @@ if __name__ == "__main__":
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# The GPUs sometimes come in format of "GPUTYPE\nGPUTYPE\n...",
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# we want to turn it into "8xGPUTYPE"
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df["GPU"] = df["GPU"].apply(
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lambda x: f"{len(x.splitlines())}x{x.splitlines()[0]}"
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lambda x: "{}x{}".format(len(x.split("\n")), x.split("\n")[0])
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)
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# get markdown tables
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