class_docstr: Randomly selects between transforms1 and transforms2 ~ [p, 1 - p] .
code: def __init__(self, transforms1, transforms2, p: float = 0.5):
      self.transforms1 = transforms1
      self.transforms2 = transforms2
      self.p = p
  
imports: from typing import Any, Dict
  import tensorflow
label_desc: Use image node_id 1 to create a new RandomSelect object  with example: obj = RandomSelect(transforms1, transforms2, p)