code: def plot():
      fig, axes = plt.subplots(3, 3, figsize=[12.8, 15.2])
      for i, f in enumerate(frames):
          h, w = f.shape[2:4]
          f = f[..., : h // 4, : w // 4]
          axes[i // 3][i % 3].imshow(yuv_to_rgb(f[0]))
      axes[0][0].set_title("Original")
      axes[0][1].set_title("nearest neighbor")
      axes[0][2].set_title("bilinear")
      axes[1][0].set_title("bicubic")
      axes[1][1].set_title("NVDEC")
      axes[1][2].set_title("spline")
      axes[2][0].set_title("lanczos(1)")
      axes[2][1].set_title("lanczos(3)")
      axes[2][2].set_title("lanczos(5)")
  
      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 8 for calling a global function with example usage: plot() without return types