class_docstr: Composes (chains) several transforms together.
  
  :param transforms: (list of transforms) to apply sequentially
code: def __call__(self, *inputs):
      for transform in self.transforms:
          if not isinstance(inputs, (list, tuple)):
              inputs = [inputs]
          inputs = transform(*inputs)
      return inputs
  
imports: import os
  import random
  import math
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the Compose obj's underlying member method code with example usage: obj.__call__() and returns: inputs