hongchengkuan/cornell-moe-singularity:centos7

$ singularity pull shub://hongchengkuan/cornell-moe-singularity:centos7

Singularity Recipe

BootStrap: docker
From: centos:centos7.5.1804

%post
  # yum -y update && yum -y upgrade
  yum  install -y python-dev gcc cmake \
                  boost-devel doxygen \
                  openblas-devel lapack-devel 

  # apt-get install -y  python-dev gcc cmake \
  #                     libboost-all-dev python-pip doxygen \
  #                     libblas-dev liblapack-dev gfortran \
  #                     git wget octave
  #                      

  # apt-get clean
  # 
  # cd /opt
  # wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh -O /opt/miniconda.sh
  # bash /opt/miniconda.sh -b -p /opt/miniconda
  # rm /opt/miniconda.sh
  # echo "export PATH="/opt/miniconda/bin:$PATH"" >> $SINGULARITY_ENVIRONMENT
  # export PATH="/opt/miniconda/bin:$PATH"
  # conda install pip
  # pip install --user numpy scipy matplotlib ipython jupyter pandas sympy nose

  # export MOE_CC_PATH="$(which gcc)"
  # export MOE_CXX_PATH="$(which g++)"
  # export MOE_CMAKE_OPTS="-D MOE_PYTHON_INCLUDE_DIR=/usr/include/python2.7 -D MOE_PYTHON_LIBRARY=/usr/lib/x86_64-linux-gnu/libpython2.7.so.1.0"

  # cd /
  # mkdir /moe && cd /moe
  # git clone https://github.com/wujian16/Cornell-MOE.git
  # cd Cornell-MOE
  # pip install -r requirements.txt
  # python setup.py install
  # pip install keras
  # pip install tensorflow
  # conda install -c conda-forge oct2py

  # # Clean up
  # apt-get -y autoremove
  # rm -rvf /var/lib/apt/lists/*

Collection


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Metrics

key value
id /containers/hongchengkuan-cornell-moe-singularity-centos7
collection name hongchengkuan/cornell-moe-singularity
branch master
tag centos7
commit 8e4b115db3fa7fa4d847af3108f6eb0d61d263bc
version (container hash) c4b0d1cdf3813b37fb9e73174d869a25
build date 2018-12-12T21:53:22.453Z
size (MB) 509
size (bytes) 158187551
SIF Download URL (please use pull with shub://)
Datalad URL View on Datalad
Singularity Recipe Singularity Recipe on Datalad
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