class_docstr: Compose several transforms together.
  
  Args:
      transforms: list of transforms to compose.
  
  Example:
      >>> transforms.Compose([
      >>>     transforms.ToTensor(),
      >>>     transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
      >>> ])
code: def __repr__(self):
      format_string = self.__class__.__name__ + "("
      for t in self.transforms:
          format_string += "\n"
          format_string += "    {0}".format(t)
      format_string += "\n)"
      return format_string
  
file_path: singa/examples/demos/Classification/BloodMnist/transforms.py
imports: import numpy
  from PIL import Image
label_desc: Use image node_id 3 for calling the Compose obj's underlying member method code with example usage: obj.__repr__() and returns: format_string