我正在尝试使用tensorflow重新训练Inception v3模型以适应我自己的自定义分类。我已经下载了一些数据并将其格式化为目录。当我运行Python脚本时，它会为图片创建瓶颈，然后在第一次训练步骤（步骤0）运行时，出现了严重的错误，试图对0进行取模运算。这似乎是在计算mod_index的get_image_path函数中出现的，mod_index是index % len(category_list)，所以category_list一定是0，对吗？

为什么会发生这种情况？我怎样才能防止它发生？

编辑：这是我在docker中看到的具体代码

2016-07-04 01:27:52.005912: Step 0: Train accuracy = 40.0%2016-07-04 01:27:52.006025: Step 0: Cross entropy = 1.109777CRITICAL:tensorflow:Category has no images - validation.Traceback (most recent call last):  File "tensorflow/examples/image_retraining/retrain.py", line 824, in <module>    tf.app.run()  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 30, in run    sys.exit(main(sys.argv))  File "tensorflow/examples/image_retraining/retrain.py", line 794, in main    bottleneck_tensor))  File "tensorflow/examples/image_retraining/retrain.py", line 484, in get_random_cached_bottlenecks    bottleneck_tensor)  File "tensorflow/examples/image_retraining/retrain.py", line 392, in get_or_create_bottleneck    bottleneck_dir, category)  File "tensorflow/examples/image_retraining/retrain.py", line 281, in get_bottleneck_path    category) + '.txt'  File "tensorflow/examples/image_retraining/retrain.py", line 257, in get_image_path    mod_index = index % len(category_list)ZeroDivisionError: integer division or modulo by zero

回答：

我已经修改了retrain.py，以确保验证中至少有一张图片（201行*）

if len(validation_images) == 0:   validation_images.append(base_name)elif percentage_hash < validation_percentage:

(*) 行号在未来的版本中可能会改变。请查看注释。