python api 中“config.labels”的替代品是什么

Question

tensorflow 1.0.0

蟒蛇2.7.13

Ubuntu 14.04.5

什么可以替代Python API为了 ”配置标签“？

$ python main_recognize.py 
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcurand.so.8.0 locally
Traceback (most recent call last):
  File "main_recognize.py", line 27, in <module>
    n_classes = len(cfg.labels)
AttributeError: 'module' object has no attribute 'labels'

主要识别.py：

import pickle
import numpy as np
import tensorflow as tf
import config as cfg
import prepare_data as pp_dev_data
import csv
import cPickle
np.random.seed(1515)

# hyper-params
agg_num = 11       # concatenate frames
hop = 1            # step_len
act = 'relu'
n_hid = 500

global_step = tf.Variable(0, trainable=False)

n_input = 440
n_classes = len(cfg.labels)
dropout = 0.6

......

我认为这一定是由于Python API。

我如何搜索替换配置标签？

提前致谢。