text: from torchvision import datasets, transforms
  from base import BaseDataLoader
  
  '''
  dataloader import from data_loader dir
  '''
  from data_loader.Verificaiotn_DataLoader import Verificaiotn_DataLoader
  from data_loader.LFMB_3DFB_Pictures_Seged_Rectified import LFMB_3DFB_Pictures_Seged_Rectified_Train,LFMB_3DFB_Pictures_Seged_Rectified_Test
  '''
  MnistDataLoader++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
  '''
  class MnistDataLoader(BaseDataLoader):
      """
      MNIST data loading demo using BaseDataLoader
      """
      def __init__(self, data_dir,test_dir, batch_size, shuffle=True, validation_split=0.0, num_workers=1, training=True, verification=False):
          trsfm = transforms.Compose([
              transforms.ToTensor(),
              transforms.Normalize((0.1307,), (0.3081,))
          ])
          self.data_dir = data_dir
          self.dataset = datasets.MNIST(self.data_dir, train=training, download=True, transform=trsfm)
          super().__init__(self.dataset,None, batch_size, shuffle, validation_split, num_workers,verification)
  
  
  