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# Get a list of all the docker images docker images # or docker image list # To view a list of docker processes docker ps |
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# Use the latest tf GPU image as parent. This operation is analogous to inheritance in OOP. # The image ships with tensorlfow-gpu and jupyter installed for python 2. It is also # configured so that a jupyter server will be launched at container startup. Note that you # don't have to use this image as parent. FROM tensorflow/tensorflow:latest-gpu # Set working directory for container WORKDIR /app # Make ssh directory (useful for adding ssh keys later) RUN mkdir -p /root/.ssh # Update repositories RUN apt-get update # Install git RUN apt-get install git -y # Install pip3 (parent image only comes with python2 stuff) RUN apt-get install python3-pip -y # Install your python packages RUN pip3 install --upgrade pip RUN pip3 install numpy # Add more pip installs here. Alternatively move everything to a dedicated requirements file. |
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mkdir ~/docker/myproject mv Dockerfile ~/docker/myproject/Dockerfile |
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Then change working directory to the newly created folder and build the image:
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cd ~/docker/myproject
docker build -t <image_name> . |
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