class_docstr: 组合多个transform函数
class_docstr_tok: ["\u7ec4\u5408\u591a\u4e2atransform\u51fd\u6570"]
code: def __call__(self, image, target=None):
      for trans in self.transforms:
          image, target = trans(image, target)
      return image, target
  
imports: import random
  import torch
  import torchvision.transforms
  from torchvision.transforms import functional
  from src import dboxes300_coco, calc_iou_tensor, Encoder
label_desc: Use image node_id 2 for calling the Compose obj's underlying member method code with example usage: obj.__call__(image, target) and returns: image,  target