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Add snapcraft packaging #4852

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merged 2 commits into from Mar 23, 2017
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export MXNET_HOME=$SNAP
export LD_LIBRARY_PATH=${SNAP}/lib:${SNAP}/usr/lib:$LD_LIBRARY_PATH
export PYTHONPATH=$MXNET_HOME:${SNAP}/lib/python2.7/site-packages/:${SNAP}/usr/lib/python2.7/dist-packages/:$PYTHONPATH
exec ${SNAP}/usr/bin/python $@
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name: mxnet
version: '0.9.3'
summary: MXNet is a deep learning framework designed for efficiency and flexibility.
description: |
MXNet is a deep learning framework designed for both efficiency and
flexibility. It allows you to mix the flavours of symbolic programming and
imperative programming to maximize efficiency and productivity. In its core,
a dynamic dependency scheduler that automatically parallelizes both symbolic
and imperative operations on the fly. A graph optimization layer on top of
that makes symbolic execution fast and memory efficient. The library is
portable and lightweight, and it scales to multiple GPUs and multiple machines.
grade: stable
confinement: strict
apps:
python:
command: snap.python
parts:
mxnet:
source: .
plugin: make
build-packages:
- build-essential
- libatlas-base-dev
- libopencv-dev
stage-packages:
- libatlas3-base
- libopencv-calib3d2.4v5
- libopencv-core2.4v5
- libopencv-highgui2.4v5
- libopencv-imgproc2.4v5
- libopencv-ml2.4v5
- libopencv-objdetect2.4v5
prepare: |
cp make/config.mk .
build: |
make
install: |
cp -r bin $SNAPCRAFT_PART_INSTALL/
cp -r lib $SNAPCRAFT_PART_INSTALL/
mxnet-ubuntu-python:
plugin: python
python-version: python2
source: ./python
stage-packages:
- python-numpy
python-packages:
- graphviz
- Jupyter
after: [mxnet]
python-wrapper:
plugin: dump
source: .
stage:
- snap.python
prime:
- snap.python
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