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hub / github.com/PaddlePaddle/FastDeploy / process_one_metric

Function process_one_metric

benchmarks/quick_benchmark.py:471–502  ·  view source on GitHub ↗
(
        # E.g., "ttft"
        metric_attribute_name: str,
        # E.g., "TTFT"
        metric_name: str,
        # E.g., "Time to First Token"
        metric_header: str,
    )

Source from the content-addressed store, hash-verified

469 }
470
471 def process_one_metric(
472 # E.g., "ttft"
473 metric_attribute_name: str,
474 # E.g., "TTFT"
475 metric_name: str,
476 # E.g., "Time to First Token"
477 metric_header: str,
478 ):
479 # This function prints and adds statistics of the specified
480 # metric.
481 if metric_attribute_name not in selected_percentile_metrics:
482 return
483 print("{s:{c}^{n}}".format(s=metric_header, n=50, c="-"))
484 print(
485 "{:<40} {:<10.2f}".format(
486 f"Mean {metric_name} (ms):",
487 getattr(metrics, f"mean_{metric_attribute_name}_ms"),
488 )
489 )
490 print(
491 "{:<40} {:<10.2f}".format(
492 f"Median {metric_name} (ms):",
493 getattr(metrics, f"median_{metric_attribute_name}_ms"),
494 )
495 )
496 result[f"mean_{metric_attribute_name}_ms"] = getattr(metrics, f"mean_{metric_attribute_name}_ms")
497 result[f"median_{metric_attribute_name}_ms"] = getattr(metrics, f"median_{metric_attribute_name}_ms")
498 result[f"std_{metric_attribute_name}_ms"] = getattr(metrics, f"std_{metric_attribute_name}_ms")
499 for p, value in getattr(metrics, f"percentiles_{metric_attribute_name}_ms"):
500 p_word = str(int(p)) if int(p) == p else str(p)
501 print("{:<40} {:<10.2f}".format(f"P{p_word} {metric_name} (ms):", value))
502 result[f"p{p_word}_{metric_attribute_name}_ms"] = value
503
504 def process_one_length(
505 # E.g., "ttft"

Callers 1

benchmarkFunction · 0.70

Calls 2

printFunction · 0.85
formatMethod · 0.45

Tested by

no test coverage detected