运行docker容器错误:找不到可服务模型的基本路径/ models / model

问题描述 投票:0回答:1

当我尝试使用docker映像运行docker容器时出现问题:tensorflow / serving。

  1. 我运行cmd:

docker run --name=tf_serving -it tensorflow/serving

  1. 结果是:
2019-10-28 04:23:56.858540: I tensorflow_serving/model_servers/server_core.cc:462] Adding/updating models.
2019-10-28 04:23:56.858571: I tensorflow_serving/model_servers/server_core.cc:573]  (Re-)adding model: model
2019-10-28 04:23:56.858852: E tensorflow_serving/sources/storage_path/file_system_storage_path_source.cc:362] FileSystemStoragePathSource encountered a filesystem access error: Could not find base path /models/model for servable model

I've digging to resolve it but still there. Could anyone please have any idea for this, thanks so much!
docker tensorflow tensorflow-serving
1个回答
0
投票

您应提供保存的模型路径。服务容器将在其/models目录中找到所有模型。您可以将-v用于docker run命令。这样做:

docker run --name=tf_serving -it -v /path/to/saved_model:/models/saved_model tensorflow/serving
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