code: def plot():
      n_rows = len(timestamps)
      fig, axes = plt.subplots(n_rows, 2, figsize=[12.8, 16.0])
      for i in range(n_rows):
          axes[i][0].imshow(yuv_to_rgb(cpu_frames[i]))
          axes[i][1].imshow(yuv_to_rgb(cuda_frames[i]))
  
      axes[0][0].set_title("Software decoder")
      axes[0][1].set_title("HW decoder")
      plt.setp(axes, xticks=[], yticks=[])
      plt.tight_layout()
  
imports: import torch
  import torchaudio
  import os
  import time
  import matplotlib.pyplot
  from torchaudio.io import StreamReader
  from torchaudio.utils import ffmpeg_utils
label_desc: Use image node_id 3 for calling a global function with example usage: plot() without return types