Difference between revisions of "Docker"
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*[https://github.com/NVIDIA/nvidia-docker Prerequisite 2: nvidia-docker] | *[https://github.com/NVIDIA/nvidia-docker Prerequisite 2: nvidia-docker] | ||
*[https://github.com/ufoym/deepo Deepo (for GPU)] | *[https://github.com/ufoym/deepo Deepo (for GPU)] | ||
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| + | '''Docker - Selecting the large capacity partition''' | ||
| + | *sudo nano /etc/systemd/system/docker.service.d | ||
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'''Docker - clean up all the volumes''' | '''Docker - clean up all the volumes''' | ||
Revision as of 11:03, 24 July 2018
ML Docker Image installed on the Interaction Station ML computers:
Deepo. It includes:
- cudnn
- theano
- tensorflow
- sonnet
- pytorch
- keras
- lasagne
- mxnet
- cntk
- chainer
- caffe
- caffe2
- torch
docker run -it ufoym/deepo:gpu bash Installing Docker CE on Ubuntu 16.04:
- sudo apt-get install apt-transport-https ca-certificates curl software-properties-common
- curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
- sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu xenial stable"
- sudo apt-get update
- More info: https://unix.stackexchange.com/questions/363048/unable-to-locate-package-docker-ce-on-a-64bit-ubuntu
Installing Deepo:
Docker - Selecting the large capacity partition
- sudo nano /etc/systemd/system/docker.service.d
Docker - clean up all the volumes
- docker system prune -a -f --volumes
Format large capacity HD with fs ExFat for having access to it from Ubuntu:
- On Windows 10
- cmd
- diskpart
- select disk '#' (where # is the number of the target drive)
- list part
- select part # (where # is the number of the partition)
- format fs=exfat QUICK