"address family for nodename not supported" 警告会妨碍正常服务吗？

Question

我设法将用于分割的 Keras 模型导出到基于 tensorflow/serving:1.10.0-gpu 的容器中。但是，在启动时，我注意到 docker 日志中的警告，就在事件循环开始之前：[warn] getaddrinfo: address family for nodename not supported。我不确定这意味着什么，但到目前为止我还无法从服务器获得响应。相反，客户端会收到 status = StatusCode.UNAVAILABE、details="OS Error"、"grpc_status":14.

这与那个警告有某种关系吗？由于这个 unsupported address family，我是否在 gRPC 客户端和 tfserving 容器之间遇到某种网络问题？

为了完整性，我 post 下面的 docker 日志。请注意，为了便于阅读，我从日志中清除了时间戳和不重要的行：

[]: I tensorflow_serving/model_servers/main.cc:157] Building single TensorFlow model file config:  model_name: mrcnn model_base_path: /models/mrcnn
[]: I tensorflow_serving/model_servers/server_core.cc:462] Adding/updating models.
[]: I tensorflow_serving/model_servers/server_core.cc:517]  (Re-)adding model: mrcnn
[]: I tensorflow_serving/core/basic_manager.cc:739] Successfully reserved resources to load servable {name: mrcnn version: 1}
[]: I tensorflow_serving/core/loader_harness.cc:66] Approving load for servable version {name: mrcnn version: 1}
[]: I tensorflow_serving/core/loader_harness.cc:74] Loading servable version {name: mrcnn version: 1}
[]: I external/org_tensorflow/tensorflow/contrib/session_bundle/bundle_shim.cc:360] Attempting to load native SavedModelBundle in bundle-shim from: /models/mrcnn/1
[]: I external/org_tensorflow/tensorflow/cc/saved_model/reader.cc:31] Reading SavedModel from: /models/mrcnn/1
[]: I external/org_tensorflow/tensorflow/cc/saved_model/reader.cc:54] Reading meta graph with tags { serve }
<skip>
[]: I external/org_tensorflow/tensorflow/core/common_runtime/gpu/gpu_device.cc:1097] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10277 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:68:00.0, compute capability: 6.1)
[]: I external/org_tensorflow/tensorflow/cc/saved_model/loader.cc:113] Restoring SavedModel bundle.
[]: I external/org_tensorflow/tensorflow/cc/saved_model/loader.cc:148] Running LegacyInitOp on SavedModel bundle.
[]: I external/org_tensorflow/tensorflow/cc/saved_model/loader.cc:233] SavedModel load for tags { serve }; Status: success. Took 1240882 microseconds.
<skip>
[]: I tensorflow_serving/core/loader_harness.cc:86] Successfully loaded servable version {name: mrcnn version: 1}
[]: I tensorflow_serving/model_servers/main.cc:327] Running ModelServer at 0.0.0.0:8500 ...
[warn] getaddrinfo: address family for nodename not supported
[evhttp_server.cc : 235] RAW: Entering the event loop ...
[]: I tensorflow_serving/model_servers/main.cc:337] Exporting HTTP/REST API at:localhost:8501 ..

Answer 1

简短的回答是否定的，该警告是良性的。我的预感是您的客户端无法与服务器通信，可能是因为您如何绑定 docker 端口或您的客户端代码或您如何调用它。

Answer 2

启动容器时，不要忘记使用“-p”选项指定端口。

docker run -d -p <port out>:<port in> <IMAGE>

否则，您可以使用此命令获取 ip 地址：

docker-machine ip

"address family for nodename not supported" 警告会妨碍正常服务吗？

Can a "address family for nodename not supported" warning prevent proper serving?

tensorflow-serving