Function run

tests/perf/model_perf.py:545–556

(request: dict[str, Any], _args: argparse.Namespace)

    )

    def run(request: dict[str, Any], _args: argparse.Namespace) -> tuple[float, float]:
        started = time.perf_counter()
        model.transcribe(
            audio=request["audio"],
            context=request.get("context", ""),
            language=request.get("language") or None,
            return_time_stamps=False,
        )
        if args.backend == "cuda":
            torch.cuda.synchronize(args.device)
        wall_ms = (time.perf_counter() - started) * 1000.0
        return wall_ms, input_audio_duration_sec(request)

    return model, run