This repos contains personalized Dockerfiles for different tasks.
- interactive nmt-keras: dockerfile for running the
InteractiveNMTbranch of the NMT-Keras translation toolkit. - moses: dockerfile for running the Moses translation toolkit.
- mthd: dockerfiles for running the machine translation applications to historical documents demo server.
- nmt-keras: dockerfile for running the NMT-Keras translation toolkit.
- opennmt-py: dockerfile for running the OpenNMT-py translation toolkit.
- opennmt-py-legacy: dockerfile for running the legacy version of the OpenNMT-py translation toolkit.
- segment-based imt: dockerfile for running the segment-based IMT software.
- statistical dictionary: dockerfile for translating a document using using an statistical dictionary.
You can download and install the bleeding edge version of docker by running the following command:
curl -fsSL https://get.docker.com -o get-docker.sh && chmod +x get-docker.sh && sudo sh get-docker.sh
In order to use your GPU inside your docker container, you need to install nvidia-container-toolkit. You can do so by running the following commands:
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | \
sudo apt-key add -
distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update
sudo apt-get install nvidia-container-toolkit
By deffault, docker needs sudo permissions. However, you can add a user to the docker group to give them permission:
sudo usermod -aG docker $username
(The user needs to log out and log back in for the change to take effect.)