code: def save_figure_to_numpy(fig):
      data = np.fromstring(
          fig.canvas.tostring_rgb(), dtype=np.uint8, sep=""
      )
      data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
      return data
  
imports: import logging
  import os
  import os.path
  import torch
  import torch.nn.functional
  import numpy
  from fairseq.data.audio.text_to_speech_dataset import TextToSpeechDatasetCreator
  from fairseq.tasks import register_task
  from fairseq.tasks.speech_to_text import SpeechToTextTask
  from fairseq.speech_generator import AutoRegressiveSpeechGenerator, NonAutoregressiveSpeechGenerator, TeacherForcingAutoRegressiveSpeechGenerator
label_desc: Use image node_id 1 for calling a global function with example usage: save_figure_to_numpy(fig) and returns: data