本文介绍了Nvidia Theano码头码头图像不可用的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

尝试运行docker命令:

Trying to run docker command :

nvidia-docker run -d -p 8888:8888  -e PASSWORD="123abcChangeThis" theano_secure start-notebook.sh
# Then open your browser at http://HOST:8888

取自

返回错误:

Error: image library/theano_secure:latest not found

显示theano_secure图像目前不可用?

Appears the theano_secure image is not currently available ?

搜索theano_secure:

Searching for theano_secure :

$ nvidia-docker search theano_secure:latest
NAME      DESCRIPTION   STARS     OFFICIAL   AUTOMATED

此命令的返回为空,因此图像不可用?
如果还有另外一种来自nvidia的Theano码头工作人员的图像?

The return of this command is empty so image is not available ?If so is there an alternative Theano docker image from nvidia ?

更新:

来源:

docker build -t theano_secure -f  Dockerfile.0.8.X.jupyter.cuda.secure .

返回:

Err http://developer.download.nvidia.com  Release.gpg
  Unable to connect to developer.download.nvidia.com:http: [IP: 184.24.98.231 80]

和:

W: Failed to fetch http://archive.ubuntu.com/ubuntu/dists/trusty/InRelease

手动检查网址:& 不存在。不过确实存在。

I think this error is occurring as http://archive.ubuntu.com/ubuntu/dists/trusty/InRelease does not exist. However http://archive.ubuntu.com/ubuntu/dists/trusty/Release does exist.

可以将docker修改为使用,而不是?

Can docker be modified to use http://archive.ubuntu.com/ubuntu/dists/trusty/Release instead of http://archive.ubuntu.com/ubuntu/dists/trusty/InRelease ?

操作系统版本:

lsb_release -a

No LSB modules are available.
Distributor ID: Ubuntu
Description:    Ubuntu 14.04.4 LTS
Release:    14.04
Codename:   trusty

更新3:

你应该首先建立docker,在nvidia-docker运行 / p>

"you are supposed to docker build first", before nvidia-docker run" I did try

docker build -t theano_secure -f  Dockerfile.0.8.X.jupyter.cuda.secure .

返回:

Err http://developer.download.nvidia.com  Release.gpg Unable to connect to developer.download.nvidia.com:http: [IP: 184.24.98.231 80]

我可以拉图像 docker pull kaixhin / theano 但是这不像Jupyter笔记本一样运行, c $ c> nvidia-docker run -it -p 8888:8888 tensorflow / tensorflow:latest-gpu 记录在。似乎没有Docker Jupyter Th eano容器可用。

I can pull image docker pull kaixhin/theano but this does not run via Jupyter notebook in same way as nvidia-docker run -it -p 8888:8888 tensorflow/tensorflow:latest-gpu documented at https://hub.docker.com/r/tensorflow/tensorflow/ . There does not appear to be a docker Jupyter Theano container available.

如何通过Jupyter笔记本显示Docker实例kaixhin / theano?

How to expose the docker instance kaixhin/theano via Jupyter notebook ?

我试过: nvidia-docker run -d -p 8893:8893 -v --name theano2 kaixhin / theano start-notebook.sh 但收到错误:

    docker: Error response from daemon: invalid header field value "oci runtime error: container_linux.go:247:
starting container process caused \"exec: \\\"start-notebook.sh\\\": executable file not found in $PATH\"\n".

修改 kaixhin / theano docker容器订单通过Jupyter笔记本曝光?

Modification of kaixhin/theano docker container in order expose it via Jupyter notebook ?

推荐答案

Error: image library/theano_secure:latest not found

因为 theano_secure 不喜欢 ubuntu centos ,它不是docker中心的官方存储库,所以你需要自己构建它。 >

Because theano_secure doesn't like ubuntu,centos, it is not official repository on docker hub, so you need to build it by yourself.

Err http://developer.download.nvidia.com  Release.gpg Unable to connect to developer.download.nvidia.com:http: [IP: 184.24.98.231 80]

请先查看您的互联网连接, telnet 184.24.98.231 80

Please check your internet connection first, telnet 184.24.98.231 80.

也许你在一个有限的网络位置,尝试后面的代理这样做。您可能需要查看如何。

Maybe you are in a limited network place, try behind a proxy to do this again. You may want take a look about how to build image behind a proxy.

这篇关于Nvidia Theano码头码头图像不可用的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

07-29 18:25