code: def run(self, **unused_kwargs: Any) -> None:
      from matplotlib.backends.backend_agg import FigureCanvasAgg
  
      self._clear_axes()
      self.plotting_function(self.fig, self.axes)
      canvas = FigureCanvasAgg(self.fig)
      canvas.draw()
  
      # get PNG data from the figure
      png_buffer = BytesIO()
      canvas.print_png(png_buffer)
      png_encoded = png_buffer.getvalue()
      png_buffer.close()
  
      image_tensor = tf.io.decode_png(png_encoded)[None]
  
      # Write to TensorBoard
      tf.summary.image(self.name, image_tensor, step=self.current_step)
  
imports: from io import BytesIO
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Union
  import numpy
  import tensorflow
  from ..base import AnyNDArray, Parameter
  from ..models import BayesianModel
  from ..utilities import parameter_dict
  from .base import MonitorTask
label_desc: Use image node_id 3 for calling the ImageToTensorBoard obj's underlying member method code with example usage: obj.run() without return types