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Last pushed: a month ago
Short Description
Sets up a boilerplate Docker environment for NVIDIA CUDA with Python 3 and OpenBLAS.
Full Description


This Dockerfile uses the following base image aleksaro/cuda-base:8.0-cudnn6-ubuntu16.04.

Below is a listing of the programs, libraries, and compilers are included in this Dockerfile:

Content Description
liblapack-dev Library of linear algebra routines (LAPACK)
libopenblas-dev OpenBLAS development files
libzmq3-dev Development files for ØMQ (messaging kernel)
python3 The Python 3 programming language
python3-dev Header files and a static library for Python 3
python3-pip Python package installer for Python 3
python3-setuptools Extension to the python-distutils
python3-tk Graphical User Interface toolkit for Python
libfreetype6-dev FreeType 2 font engine
libjpeg-dev Independent JPEG Group's JPEG runtime library
liblcms2-dev A colour management library
libopenjpeg-dev JPEG 2000 image compression/decompression library
libpng12-dev Portable Network Graphics (PNG) library
libtiff5-dev Tag Image File Format (TIFF) library
libwebp-dev WebP format library (based on the VP8 codec)
zlib1g-dev Compression library for gzip and PKZIP
wheel A built-package format for Python
six Python 2 and 3 compatibility utilities
Cython C-Extensions for Python
nose An extension of unittest to make testing easier
ipython Interactive Python shell
jupyter Jupyter notebooks
ipdb Python debugger for IPython
numpy Library for n-dimensional array processing
Pillow Python Imaging Library (PIL) fork
scipy Scientific tools for Python
matplotlib Python plotting package

Keep in mind that some of these packages may already be installed by a parent container.

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