我正在尝试使用配置文件运行tensorflow / serving docker镜像。它抛出有关文件系统访问错误的消息。我尝试使用单个模型和多个模型都不起作用。
泊坞窗执行命令如下
sudo docker run -p 8501:8501 --mount type=bind,source=/home/projects/models/model1/,target=/models/model1 --mount type=bind,source=/home/projects/models/model2/,target=/models/model2 --mount type=bind,source=/home/projects/config.conf,target=/models/config.conf -t tensorflow/serving --model_config_file=/models/config.conf
"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 /home/projects/models/model1/ for servable model1
"
我的配置文件如下
model_config_list {
config {
name: 'model1',
base_path: '/home/projects/models/model1/',
model_platform: 'tensorflow'
}
config {
name: 'model2',
base_path: '/home/projects/models/model2/',
model_platform: "tensorflow"
}
}
但是无需使用配置文件,我可以使用docker命令单独运行模型。
sudo docker run -t --rm -p 8501:8501 -v "/home/projects/models/model1:/models/model1" -e MODEL_NAME=model1 tensorflow/serving &
答案 0 :(得分:1)
无需分别安装每个型号!您可以像这样安装所有模型:
sudo docker run \
-p 8501:8501 \
--mount type=bind,source=/home/projects/models/,target=/models/ \
-t tensorflow/serving \
--model_config_file=/models/config.conf
,您的config.conf
文件现在看起来像这样(将此文件放在/home/projects/models/
下):
model_config_list {
config {
name: 'model1',
base_path: '/models/model1',
model_platform: 'tensorflow'
},
config {
name: 'model2',
base_path: '/models/model2',
model_platform: "tensorflow"
},
}