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docker - 使用 docker 服务多个 tensorflow 模型

问题描述

看到这个github 问题和这个stackoverflow 帖子后，我希望这能简单地工作。

似乎传递环境变量MODEL_CONFIG_FILE没有影响。我正在运行这个，docker-compose但我使用docker-run.

错误：

I tensorflow_serving/model_servers/server.cc:82] Building single TensorFlow model file config:  model_name: model model_base_path: /models/model
I tensorflow_serving/model_servers/server_core.cc:461] Adding/updating models.
I tensorflow_serving/model_servers/server_core.cc:558]  (Re-)adding model: model
E tensorflow_serving/sources/storage_path/file_system_storage_path_source.cc:369] FileSystemStoragePathSource encountered a file-system access error: Could not find base path /models/model for servable model

Dockerfile

FROM tensorflow/serving:nightly

COPY ./models/first/ /models/first
COPY ./models/second/ /models/second

COPY ./config.conf /config/config.conf

ENV MODEL_CONFIG_FILE=/config/config.conf

撰写文件

version: '3'

services:
  serving:
    build: .
    image: testing-models
    container_name: tf

配置文件

model_config_list: {
  config: {
    name:  "first",
    base_path:  "/models/first",
    model_platform: "tensorflow",
    model_version_policy: {
        all: {}
    }
  },
  config: {
    name:  "second",
    base_path:  "/models/second",
    model_platform: "tensorflow",
    model_version_policy: {
        all: {}
    }
  }
}

标签： dockerdocker-composedockerfiletensorflow-serving

解决方案

我在 Windows 上遇到了 git bash 的这个双斜杠问题。

因此，我将@KrisR89 提到的论点通过command.docker-compose

新的docker-compose看起来像这样并与提供的一起使用dockerfile：

version: '3'

services:
  serving:
    build: .
    image: testing-models
    container_name: tf
    command: --model_config_file=/config/config.conf

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