def load_dataloader(self):
        """
        Description : Setup the dataloader
        """

        input_transform = transforms.Compose([transforms.ToTensor(), \
                                             transforms.Normalize((0.7136, 0.4906, 0.3283), \
                                                                  (0.1138, 0.1078, 0.0917))])
        training_dataset = LipsDataset(self.image_path,
                                       self.align_path,
                                       mode='train',
                                       transform=input_transform,
                                       seq_len=self.seq_len)

        self.train_dataloader = mx.gluon.data.DataLoader(training_dataset,
                                                         batch_size=self.batch_size,
                                                         shuffle=True,
                                                         num_workers=self.num_workers)

        valid_dataset = LipsDataset(self.image_path,
                                    self.align_path,
                                    mode='valid',
                                    transform=input_transform,
                                    seq_len=self.seq_len)

        self.valid_dataloader = mx.gluon.data.DataLoader(valid_dataset,
                                                         batch_size=self.batch_size,
                                                         shuffle=True,
                                                         num_workers=self.num_workers)
Description : Setup the dataloader