New Docker stable v18.09.4

[tiangolo]

1. Issue or feature description

The latest Docker stable version is v18.09.4 (released 5 hours ago)

Nvidia Docker still requires version 18.09.3.

2. Steps to reproduce the issue

In a new Ubuntu 18.04.1 LTS, install Docker:

# Download Docker
curl -fsSL get.docker.com -o get-docker.sh
# Install Docker using the stable channel (instead of the default "edge")
CHANNEL=stable sh get-docker.sh
# Remove Docker install script
rm get-docker.sh

Then install nvidia-docker following the default instructions, the following error is shown:

$ sudo apt-get install -y nvidia-docker2
Reading package lists... Done
Building dependency tree
Reading state information... Done
Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:

The following packages have unmet dependencies:
 nvidia-docker2 : Depends: docker-ce (= 5:18.09.3~3-0~ubuntu-bionic) but 5:18.09.4~3-0~ubuntu-bionic is to be installed or
                           docker-ee (= 5:18.09.3~3-0~ubuntu-bionic) but it is not installable
E: Unable to correct problems, you have held broken packages.

3. Information to attach (optional if deemed irrelevant)

• Some nvidia-container information: nvidia-container-cli -k -d /dev/tty info
• Kernel version from uname -a: 4.15.0-45-generic Add support for cross-device volumes #48-Ubuntu SMP Tue Jan 29 16:28:13 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux
• Any relevant kernel output lines from dmesg
• Driver information from nvidia-smi -a: NVIDIA-SMI 418.40.04 Driver Version: 418.40.04 CUDA Version: 10.1
• Docker version from docker version: 18.09.4
• NVIDIA packages version from dpkg -l '*nvidia*' or rpm -qa '*nvidia*':
• NVIDIA container library version from nvidia-container-cli -V
• NVIDIA container library logs (see troubleshooting)
• Docker command, image and tag used

[tiangolo]

This seems to be solved in the latest version 2.0.3+docker18.09.4-1. I just updated everything in my local machine and it seemed to work well.

I haven't tested on a clean remote GPU server yet.

[RenaudWasTaken]

Ah yes sorry!

I published an update last Thursday and forgot to mention it here...

With the - - gpu option in the next Docker release, this problem will go away!

I'll publish some more information in the next few weeks!

[tiangolo]

Excellent. Thank you!