class_docstr: Randomly resizes image so that min side is one of provided sizes.
code: def __init__(self, sizes, max_size=None):
      assert isinstance(sizes, (list, tuple))
      self.sizes = tf.constant(sizes, dtype=tf.int32)
      self.max_size = max_size
  
imports: from typing import Any, Dict
  import tensorflow
label_desc: Use image node_id 1 to create a new RandomResize object  with example: obj = RandomResize(sizes, max_size)