DevOps Stack Exchange is a question and answer site for software engineers working on automated testing, continuous delivery, service integration and monitoring, and building SDLC infrastructure. It only takes a minute to sign up.
Sign up to join this community
I have this following image:
REPOSITORY TAG IMAGE ID CREATED SIZE
nvcr.io/nvidia/pytorch 18.04-py3 c3555fec4fe6 3 years ago 5.9GB
The goal is to use Ubuntu 18.04 with CUDA 10.2. Now I want to create a container with this image. How can I do that? The guides online didn't make much sense to me as I'm pretty new to docker.
Depending on what you want to do, there are a lot of options you can pass in to docker, but if you just want to run the code in the container as written:
docker run nvcr.io/nvidia/pytorch:18.04-py3
or
docker run c3555fec4fe6
or even
docker run c3
you can give your docker images a more reasonable name with
docker image tag nvcr.io/nvidia/pytorch:18.04-py3 pytorch
and run that with
docker run pytorch
see
man docker-run
man docker-image-tag
and https://docs.docker.com/engine/reference/commandline/run/
docker image tag nvcr.io/nvidia/pytorch:18.04-py3 pytorch and then tried to do sudo docker run pytorch but its giving me docker: Error response from daemon: mkdir /var/lib/docker/containers/22346b8352726ee06780791c3ee37c138b8c4b3d600225502266916e57902c56: no such file or directory.
Mar 11, 2022 at 14:53
sudo mkdir -p /var/lib/docker/containers but I think the docker installer should have taken care of that. I've read people with those kinds of errors get 'em fixed with a re-install yum reinstall docker or apt-get --reinstall install docker
/var/lib/docker/containers. I think docker is just not turning this image into a container..
Mar 11, 2022 at 16:27
This would be the multi-layer approach in docker containers...
#Create the base OS image
FROM python:3 AS base
#Update the OS ubuntu image
RUN apt-get -y update
#Install packages
RUN apt-get -y install firefox \
&& apt-get -y install vim
#Create another image layer on top of base to install requirements
FROM base AS requirements
#Install the requirements
RUN pip3 install -r requirements.txt
#Create an intermediate image layer for testing purpose
FROM requirements as test
#Create the build context
COPY /usr/src/my-app /desktop/my-app
#Test the final app
CMD ["python3", "index.py"]
Take a look at this: https://www.geeksforgeeks.org/how-to-combine-multiple-base-images-using-single-dockerfile/
