code: def plot_sinc_fr(frs, cutoff, band=False):
      num_filts, num_fft = frs.shape
      num_ticks = num_filts + 1 if band else num_filts
  
      fig, axes = plt.subplots(
          num_filts, 1, sharex=True, sharey=True, figsize=(9.6, 8)
      )
      for ax, fr, coff, color in zip(
          axes, frs, cutoff, plt.cm.tab10.colors
      ):
          ax.grid(True)
          ax.semilogy(
              fr, color=color, zorder=4, label=f"Cutoff: {coff}"
          )
          ax.legend(
              loc=(1.05, 0.2), handletextpad=0, handlelength=0
          ).set_zorder(3)
      axes[-1].set(
          ylim=[None, 100],
          yticks=[1e-9, 1e-6, 1e-3, 1],
          xticks=torch.linspace(0, num_fft, num_ticks),
          xticklabels=[
              f"{i/(num_ticks - 1)}" for i in range(num_ticks)
          ],
          xlabel="Frequency",
      )
      fig.suptitle(
          "Frequency response of sinc low-pass filter for different cut-off frequencies\n"
          "(Frequencies are relative to Nyquist frequency)"
      )
      fig.tight_layout()
  
imports: import torch
  import torchaudio
  import matplotlib.pyplot
  from torchaudio.prototype.functional import frequency_impulse_response, sinc_impulse_response
label_desc: Use image node_id 2 for calling a global function with example usage: plot_sinc_fr(frs, cutoff, band) without return types