class_docstr: Randomly resizes image so that min side is one of provided sizes.
code: def __call__(self, features):
      # Randomly picks a size.
      logits = tf.zeros([1, len(self.sizes)])
      idx = tf.random.categorical(logits, 1)[0, 0]
      size = self.sizes[idx]
      return resize(features, size, self.max_size)
  
imports: from typing import Any, Dict
  import tensorflow
label_desc: Use image node_id 2 for calling the RandomResize obj's underlying member method code with example usage: obj.__call__(features) and returns: resize