class_docstr: 组合多个transform函数
class_docstr_tok: ["\u7ec4\u5408\u591a\u4e2atransform\u51fd\u6570"]
code: def __call__(self, image, target):
      for t in self.transforms:
          image, target = t(image, target)
      return image, target
  
file_path: deep-learning-for-image-processing/pytorch_object_detection/train_coco_dataset/transforms.py
imports: import random
  from torchvision.transforms import functional
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