code: def min_total_num_images(
      stable_stage_num_images, transition_stage_num_images, num_blocks
  ):
      """Returns the minimum total number of images.
  
      Computes the minimum total number of images required to reach the desired
      `resolution`.
  
      Args:
        stable_stage_num_images: Number of images in the stable stage.
        transition_stage_num_images: Number of images in the transition stage.
        num_blocks: Number of network blocks.
  
      Returns:
        An integer of the minimum total number of images.
      """
      return (
          num_blocks * stable_stage_num_images
          + (num_blocks - 1) * transition_stage_num_images
      )
  
imports: import math
  from magenta.models.gansynth.lib import layers
  import tensorflow.compat.v1
  import tf_slim
label_desc: Use image node_id 2 for calling a global function with example usage: min_total_num_images(stable_stage_num_images, transition_stage_num_images, num_blocks) and returns: unknown