我一直在研究TensorFlow对象检测指南，以逐步训练宠物TensorFlow Link图像上的对象检测器，现在已经在model.ckpt中训练了/models/research directory文件。但是，当我运行export_inference_graph.py时，该进程将被杀死，没有错误消息，并且不会创建任何冻结的推断graph .pb文件。
运行：
python object_detection/export_inference_graph.py \
--input_type image_tensor \
--pipeline_config_path object_detection/samples/configs/faster_rcnn_resnet101_pets.config \
--trained_checkpoint_prefix model.ckpt-31394 \
--output_directory exported_graphs
最后几行：
> ======================End of Report==========================
> 2019-03-04 22:32:13.368307: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency:
> 2600000000 Hz
> 2019-03-04 22:32:13.370375: I tensorflow/compiler/xla/service/service.cc:150] XLA service
> 0x55ac8072fae0 executing computations on platform Host. Devices:
> 2019-03-04 22:32:13.370689: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor
> device (0): <undefined>, <undefined>
> WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/training/saver.py:1266:
> checkpoint_exists (from tensorflow.python.training.checkpoi
> nt_management) is deprecated and will be removed in a future version.
> Instructions for updating:
> Use standard file APIs to check for files with this prefix.
> WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/tools/freeze_graph.py:232:
> convert_variables_to_constants (from tensorflow.python.f
> ramework.graph_util_impl) is deprecated and will be removed in a future version.
> Instructions for updating:
> Use tf.compat.v1.graph_util.convert_variables_to_constants
> WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/graph_util_impl.py:245:
> extract_sub_graph (from tensorflow.python.framewo
> rk.graph_util_impl) is deprecated and will be removed in a future version.
> Instructions for updating:
> Use tf.compat.v1.graph_util.extract_sub_graph
> Killed
有人知道发生了什么问题吗？
[在Docker容器中运行TensorFlow Python应用程序时也遇到类似的情况。