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&引用；apt get install"；从Dockerfile生成映像时卡住

docker ubuntu

&引用；apt get install"；从Dockerfile生成映像时卡住,docker,ubuntu,Docker,Ubuntu,我试图从Dockerfile构建一个映像，但在“runapt get install…”时遇到了问题，我想知道原因。可能是因为GFW，我不知道。 另一件让我困惑的事情是，在构建中运行时打印的输出日志与在容器中运行时打印的日志不同（即，在“docker container run-it image_name/bin/bash”中运行）。 请帮帮我 我试过一些关键词，比如“apt get install stack”，但我没有发现类似的问题 Dockerfile： FROM nvidia/cuda:

我试图从Dockerfile构建一个映像，但在“runapt get install…”时遇到了问题，我想知道原因。可能是因为GFW，我不知道。 另一件让我困惑的事情是，在构建中运行时打印的输出日志与在容器中运行时打印的日志不同（即，在“docker container run-it image_name/bin/bash”中运行）。 请帮帮我

我试过一些关键词，比如“apt get install stack”，但我没有发现类似的问题

Dockerfile：

FROM nvidia/cuda:9.0-devel-ubuntu16.04
MAINTAINER avanetten
ENV CUDNN_VERSION 7.3.0.29
LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
RUN apt-get update && apt-get install -y --no-install-recommends \
        apt-utils \
            libcudnn7=$CUDNN_VERSION-1+cuda9.0 \
            libcudnn7-dev=$CUDNN_VERSION-1+cuda9.0 && \
    apt-mark hold libcudnn7 && \
    rm -rf /var/lib/apt/lists/*
我运行以下命令：

sudo docker build --no-cache -t testimage .

apt-get update && apt-get install -y --no-install-recommends \
        apt-utils \
            libcudnn7=$CUDNN_VERSION-1+cuda9.0 \
            libcudnn7-dev=$CUDNN_VERSION-1+cuda9.0 && \
    apt-mark hold libcudnn7 && \
    rm -rf /var/lib/apt/lists/*
我被困在这里

Sending build context to Docker daemon  2.043GB
Step 1/37 : FROM nvidia/cuda:9.0-devel-ubuntu16.04
 ---> 2a64416134d8
Step 2/37 : MAINTAINER avanetten
 ---> Running in 0a0f4e3bb485
Removing intermediate container 0a0f4e3bb485
 ---> 23c2cb4ab1ff
Step 3/37 : ENV CUDNN_VERSION 7.3.0.29
 ---> Running in 41b6be7dc176
Removing intermediate container 41b6be7dc176
 ---> 65f16199d658
Step 4/37 : LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
 ---> Running in 0f5e7aece401
Removing intermediate container 0f5e7aece401
 ---> c41f04004970
Step 5/37 : RUN apt-get update && apt-get install -y --no-install-recommends        apt-utils             libcudnn7=$CUDNN_VERSION-1+cuda9.0             libcudnn7-dev=$CUDNN_VERSION-1+cuda9.0 &&     apt-mark hold libcudnn7 &&     rm -rf /var/lib/apt/lists/*
 ---> Running in 3a67681d2578
Get:1 http://archive.ubuntu.com/ubuntu xenial InRelease [247 kB]
Get:2 http://security.ubuntu.com/ubuntu xenial-security InRelease [109 kB]
Ign:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  InRelease
Ign:4 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  InRelease
Get:5 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  Release [170 B]
Get:6 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  Release [170 B]
Get:7 http://security.ubuntu.com/ubuntu xenial-security/main amd64 Packages [940 kB]
Get:8 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  Release.gpg [170 B]
Get:9 http://archive.ubuntu.com/ubuntu xenial-updates InRelease [109 kB]
Get:10 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  Release.gpg [170 B]
Get:11 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  Packages [231 kB]
Get:12 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  Packages [54.1 kB]
Get:13 http://archive.ubuntu.com/ubuntu xenial-backports InRelease [107 kB]
Get:14 http://security.ubuntu.com/ubuntu xenial-security/restricted amd64 Packages [12.7 kB]
Get:15 http://archive.ubuntu.com/ubuntu xenial/main amd64 Packages [1558 kB]
Get:16 http://security.ubuntu.com/ubuntu xenial-security/universe amd64 Packages [582 kB]
Get:17 http://archive.ubuntu.com/ubuntu xenial/restricted amd64 Packages [14.1 kB]
Get:18 http://security.ubuntu.com/ubuntu xenial-security/multiverse amd64 Packages [6114 B]
Get:19 http://archive.ubuntu.com/ubuntu xenial/universe amd64 Packages [9827 kB]
Get:20 http://archive.ubuntu.com/ubuntu xenial/multiverse amd64 Packages [176 kB]
Get:21 http://archive.ubuntu.com/ubuntu xenial-updates/main amd64 Packages [1322 kB]
Get:22 http://archive.ubuntu.com/ubuntu xenial-updates/restricted amd64 Packages [13.1 kB]
Get:23 http://archive.ubuntu.com/ubuntu xenial-updates/universe amd64 Packages [986 kB]
Get:24 http://archive.ubuntu.com/ubuntu xenial-updates/multiverse amd64 Packages [19.1 kB]
Get:25 http://archive.ubuntu.com/ubuntu xenial-backports/main amd64 Packages [7942 B]
Get:26 http://archive.ubuntu.com/ubuntu xenial-backports/universe amd64 Packages [8807 B]
Fetched 16.3 MB in 28s (570 kB/s)
Reading package lists...
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
  libapt-inst2.0
The following NEW packages will be installed:
  apt-utils libapt-inst2.0 libcudnn7 libcudnn7-dev
0 upgraded, 4 newly installed, 0 to remove and 13 not upgraded.
Need to get 242 MB of archives.
After this operation, 598 MB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu xenial-updates/main amd64 libapt-inst2.0 amd64 1.2.32 [55.8 kB]
Get:2 http://archive.ubuntu.com/ubuntu xenial-updates/main amd64 apt-utils amd64 1.2.32 [196 kB]
Get:3 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  libcudnn7 7.3.0.29-1+cuda9.0 [126 MB]
^C
我无法从日志中看到进度或速率，然后我删除了运行部分并完成了映像构建，然后重试

docker container run --rm -it testimage /bin/bash
，当容器运行时，我运行以下命令：

sudo docker build --no-cache -t testimage .

apt-get update && apt-get install -y --no-install-recommends \
        apt-utils \
            libcudnn7=$CUDNN_VERSION-1+cuda9.0 \
            libcudnn7-dev=$CUDNN_VERSION-1+cuda9.0 && \
    apt-mark hold libcudnn7 && \
    rm -rf /var/lib/apt/lists/*
，它可以工作，日志是

root@74ce912f6318:/# apt-get update && apt-get install -y --no-install-recommends \
>     apt-utils \
>             libcudnn7=$CUDNN_VERSION-1+cuda9.0 \
>             libcudnn7-dev=$CUDNN_VERSION-1+cuda9.0 && \
>     apt-mark hold libcudnn7 && \
>     rm -rf /var/lib/apt/lists/*
Get:1 http://security.ubuntu.com/ubuntu xenial-security InRelease [109 kB]
Get:2 http://archive.ubuntu.com/ubuntu xenial InRelease [247 kB]
Get:3 http://archive.ubuntu.com/ubuntu xenial-updates InRelease [109 kB]
Ign:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  InRelease
Ign:5 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  InRelease
Get:6 http://archive.ubuntu.com/ubuntu xenial-backports InRelease [107 kB]
Get:7 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  Release [170 B]
Get:8 http://archive.ubuntu.com/ubuntu xenial/main amd64 Packages [1558 kB]
Get:9 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  Release [170 B]
Get:10 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  Release.gpg [170 B]
Get:11 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  Release.gpg [170 B]
Get:12 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  Packages [231 kB]
Get:13 http://archive.ubuntu.com/ubuntu xenial/restricted amd64 Packages [14.1 kB]
Get:14 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  Packages [54.1 kB]
Get:15 http://archive.ubuntu.com/ubuntu xenial/universe amd64 Packages [9827 kB]
Get:16 http://archive.ubuntu.com/ubuntu xenial/multiverse amd64 Packages [176 kB]                                                                                                                    
Get:17 http://archive.ubuntu.com/ubuntu xenial-updates/main amd64 Packages [1322 kB]                                                                                                                 
Get:18 http://security.ubuntu.com/ubuntu xenial-security/main amd64 Packages [940 kB]                                                                                                                
Get:19 http://security.ubuntu.com/ubuntu xenial-security/restricted amd64 Packages [12.7 kB]                                                                                                         
Get:20 http://security.ubuntu.com/ubuntu xenial-security/universe amd64 Packages [582 kB]                                                                                                            
Get:21 http://security.ubuntu.com/ubuntu xenial-security/multiverse amd64 Packages [6114 B]                                                                                                          
Ign:22 http://archive.ubuntu.com/ubuntu xenial-updates/restricted amd64 Packages                                                                                                                     
Get:23 http://archive.ubuntu.com/ubuntu xenial-updates/universe amd64 Packages [986 kB]
Get:24 http://archive.ubuntu.com/ubuntu xenial-updates/multiverse amd64 Packages [19.1 kB]
Get:25 http://archive.ubuntu.com/ubuntu xenial-backports/main amd64 Packages [7942 B]                                                                                                                
Get:26 http://archive.ubuntu.com/ubuntu xenial-backports/universe amd64 Packages [8807 B]                                                                                                            
Get:22 http://archive.ubuntu.com/ubuntu xenial-updates/restricted amd64 Packages [13.1 kB]                                                                                                           
Fetched 16.3 MB in 39s (409 kB/s)                                                                                                                                                                    
Reading package lists... Done
Reading package lists... Done
Building dependency tree       
Reading state information... Done
The following additional packages will be installed:
  libapt-inst2.0
The following NEW packages will be installed:
  apt-utils libapt-inst2.0 libcudnn7 libcudnn7-dev
0 upgraded, 4 newly installed, 0 to remove and 13 not upgraded.
Need to get 242 MB of archives.
After this operation, 598 MB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu xenial-updates/main amd64 libapt-inst2.0 amd64 1.2.32 [55.8 kB]
Get:2 http://archive.ubuntu.com/ubuntu xenial-updates/main amd64 apt-utils amd64 1.2.32 [196 kB]
Get:3 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  libcudnn7 7.3.0.29-1+cuda9.0 [126 MB]
31% [3 libcudnn7 63.8 MB/170 B 37523776%]                                                                                                                                               8995 kB/s 19s^C
这一次，我可以看到进度（即31%），我自己用ctrl-c停止

我有两个期望，第一是让Dockerfile工作，第二是看到进展。谢谢。

你确定它卡住了吗？该文件是126MB，请尝试使用
--network=host
@LinPy进行构建。它可以正常工作，谢谢，但我仍然想知道是否有办法查看进度。奇怪的应该在那里。我想这是网络问题。您可能需要更改镜像以使用靠近您的位置：侧注：您确实不想看到进度。最后，那只是噪音。在我的DockerFile中，我总是将apt与
-qq
标志一起使用，并且我还喜欢将输出管道连接到
/dev/null
。你只想在最后看到警告和错误。