def __init__()

in data.py [0:0]


    def __init__(self, train=True, augment=False):

        if train:
            for i in range(1, 11):
                f = pickle.load(
                    open(
                        osp.join(
                            FLAGS.imagenet_path,
                            'train_data_batch_{}'.format(i)),
                        'rb'))
                if i == 1:
                    labels = f['labels']
                    data = f['data']
                else:
                    labels.extend(f['labels'])
                    data = np.vstack((data, f['data']))
        else:
            f = pickle.load(
                open(
                    osp.join(
                        FLAGS.imagenet_path,
                        'val_data'),
                    'rb'))
            labels = f['labels']
            data = f['data']

        self.labels = labels
        self.data = data
        self.one_hot_map = np.eye(1000)