如何在 tensorflow 服务中添加新模型 [英] How to add a new model in tensorflow serving

问题描述

我知道一次可以运行多个模型，您可以在配置文件中指定，如 此处.

I know there could be more than one model running at a time, which you can specify in a config file, as explained here.

就我而言，我想用 model_A、model_B 和 model_C 启动服务器，并在将来添加一个新的任意model_D 无需重启服务器(因为我不想中断模型 A、B 和 C 的服务).

In my case, I want to start the server with model_A, model_B and model_C, and in a future, add a new arbitrary model_D without restarting the server (since I don't want to interrupt the service for models A, B and C).

有没有办法达到这个要求?

Is there a way to achieve this requirement?

推荐答案

以下提交添加了此功能(并且应该在 TensorFlow Serving 1.7.0 及更高版本中:

The following commit adds this functionality (and should be in TensorFlow Serving 1.7.0 and higher:

https://github.com/tensorflow/serving/commit/78c51b7f7f780860840865c80f78fb7fb7fb7fb9812f5bf

https://github.com/tensorflow/serving/commit/79d3354cd8a408fb981670512d661c2b7e89f5bf

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