Windows中拒绝docker权限 [英] docker permission denied in windows
问题描述
我创建一个这样的docker文件：
I create a docker file like this:
FROM jupyter/scipy-notebook
MAINTAINER Jon Krohn <jon@untapt.com>
USER $NB_USER
# install TensorFlow
RUN conda install tensorflow tensorflow
# install tflearn and keras:
RUN pip install tflearn==0.3.2
RUN pip install keras==2.0.8
# install NLP packages:
RUN pip install nltk==3.2.4
RUN pip install gensim==2.3.0
# install Reinforcement Learning packages:
RUN pip install gym==0.9.4
我的问题是在构建映像后，我想使用以下命令运行该映像：
my problem is after building my image when I want to run this Image with:
docker run -v D:/TensorFlow-LiveLessons:/home/jovyan/work -it --rm -p 8888:8888 tensorflow-ll-stack .
我收到此错误消息
[FATAL tini (6)] exec . failed: Permission denied
我共享了D驱动器，并且我使用的是win10。
感谢您的任何帮助。
I shared the D drive and I'm using win10.
thanks for any help.
推荐答案
似乎您的问题出在您的最后一条命令上。在： docker run -v D：/ TensorFlow-LiveLessons：/ home / jovyan / work -it --rm -p 8888：8888 tensorflow-ll-stack。，您告诉码头工人使用命令。启动容器。从您在评论中链接到我的文档中，您将 docker build 和 docker run 混合在一起。
It seems that your problem is at you last command. In : docker run -v D:/TensorFlow-LiveLessons:/home/jovyan/work -it --rm -p 8888:8888 tensorflow-ll-stack ., you are telling docker to launch a container with a command ".". From the doc you linked me in the comments, you mixed up docker build and docker run.
Docker构建采用上下文路径作为参数，可以在其中找到Dockerfile。如果从同一目录执行命令，则通常为。。
Docker build take a context path as a parameter, where it can find a Dockerfile. It often a ".", if you are executing the command from the same directory.
Docker run 命令作为参数，它将用作您图像的入口点。
Docker run take a command as a parameter, which will be used as an entry point for you image.
现在，它看起来更像是一个复制过去的问题，因为您的文档显示泊坞窗运行命令是 docker run -vc：/ full / path / to / the / clone：/ home / jovyan / work -it --rm -p 8888：8888 tensorflow-ll-stack 毫无意义，但了解docker构建和docker运行并不难。
Now, it looks more like a copy past problem, since you documentation show that the docker run command is docker run -v c:/full/path/to/the/clone:/home/jovyan/work -it --rm -p 8888:8888 tensorflow-ll-stack without the point, but it never bad to learn about docker build and docker run.
玩得开心！
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