Docker Images¶
Available tags¶
devel
, with SINGA and the development packages installed on Ubuntu16.04 (no GPU)devel-cuda
, with SINGA, CUDA8.0, CUDNN5, and other development packages installed on Ubuntu16.04
Use the existing Docker images¶
Users can pull the Docker images from Dockerhub via
docker pull apache/singa:devel
# or
docker pull apache/singa:devel-cuda
Run the docker container using
docker run -it apache/singa:devel /bin/bash
# or
docker run -it apache/singa:devel-cuda /bin/bash
The latest SINGA code is under the incubator-singa
folder.
Create new Docker images from Dockerfile¶
New Docker images could be created by executing the following command within the Dockerfile folder, e.g., tool/docker/devel/
docker build -t singa:<TAG> -f Dockerfile
The <TAG>
is named as
devel|runtime[-CUDA|CPU][-CUDNN]
devel: development images with all dependent libs’ header files installed and SINGA’s source code; runtime: the minimal images which can run SINGA programs.
CUDA: cuda10.0, cuda9.0
CUDNN: cudnn7
Here are some example tags:
devel-cuda9-cudnn7
, devel-cuda9-cudnn7
, devel-cuda10-cudnn7
, devel-cpu
, runtime-gpu
and runtime-cpu
Please follow the existing Dockefiles under tool/docker/ to create other Dockefiles. The folder structure is like
level1: devel|runtime
level2: Dockerfile, OS
level3: Dockerfile, CUDA|MKLDNN
For example, the path of the Dockerfile for devel-cuda9-cudnn7
is tool/docker/devel/ubuntu/cuda9/Dockerfile
.