code: def plot_emission(emission):
      fig, ax = plt.subplots()
      ax.imshow(emission.cpu().T)
      ax.set_title("Frame-wise class probabilities")
      ax.set_xlabel("Time")
      ax.set_ylabel("Labels")
      fig.tight_layout()
  
file_path: audio/examples/tutorials/ctc_forced_alignment_api_tutorial.py
imports: import torch
  import torchaudio
  import IPython
  import matplotlib.pyplot
  import torchaudio.functional
label_desc: Use image node_id 1 for calling a global function with example usage: plot_emission(emission) without return types