code: def benchmark_resample_functional(
      waveform,
      sample_rate,
      resample_rate,
      lowpass_filter_width=6,
      rolloff=0.99,
      resampling_method="sinc_interp_hann",
      beta=None,
      iters=5,
  ):
      return (
          timeit.timeit(
              stmt="""
  torchaudio.functional.resample(
      waveform,
      sample_rate,
      resample_rate,
      lowpass_filter_width=lowpass_filter_width,
      rolloff=rolloff,
      resampling_method=resampling_method,
      beta=beta,
  )
          """,
              setup="import torchaudio",
              number=iters,
              globals=locals(),
          )
          * 1000
          / iters
      )
  
imports: import torch
  import torchaudio
  import torchaudio.functional
  import torchaudio.transforms
  import math
  import timeit
  import librosa
  import matplotlib.colors
  import matplotlib.pyplot
  import pandas
  import resampy
  from IPython.display import Audio
label_desc: Use image node_id 6 for calling a global function with example usage: benchmark_resample_functional(waveform, sample_rate, resample_rate, lowpass_filter_width, rolloff, resampling_method, beta, iters) and returns: unknown