code: def show_sdf(sdf, figsize=5, resolution=32):
      _, axis = plt.subplots(1, 3, figsize=(3 * figsize, figsize))
      sdf = tf.reshape(sdf, [resolution, resolution, resolution])
      for a in range(3):
          proj_sdf = tf.transpose(tf.reduce_min(sdf, axis=a))
          c = axis[a].matshow(proj_sdf.numpy())
          plt.colorbar(c, ax=axis[a])
  
imports: import os
  import pickle
  import re
  import matplotlib.pyplot
  import numpy
  import tensorflow
  from tensorflow_graphics.projects.points_to_3Dobjects.utils import tf_utils
  from google3.pyglib import gfile
label_desc: Use image node_id 6 for calling a global function with example usage: show_sdf(sdf, figsize, resolution) without return types