code: def __call__(self, x):
      for t in self.trans:
          x = t(x)
      return x
  
file_path: tinygrad/examples/train_resnet.py
imports: import numpy
  from PIL import Image
  from tinygrad.nn.state import get_parameters
  from tinygrad.nn import optim
  from tinygrad.helpers import getenv
  from extra.training import train, evaluate
  from extra.models.resnet import ResNet
  from extra.datasets import fetch_mnist
label_desc: Use image node_id 2 for calling the ComposeTransforms obj's underlying member method code with example usage: obj.__call__(x) and returns: x