NIH-HPC/singularity-examples:digits
$ singularity pull shub://NIH-HPC/singularity-examples:digits
Singularity Recipe
Bootstrap: docker
From: nvidia/cuda:8.0-cudnn5-devel-ubuntu16.04
%post
echo "en_US.UTF-8 UTF-8" > /etc/locale.gen
apt-get update
apt-get install -y software-properties-common python-software-properties
add-apt-repository main
add-apt-repository universe
add-apt-repository multiverse
apt-get install -y --no-install-recommends \
autoconf \
automake \
ca-certificates \
curl \
g++ \
git \
libtool \
make \
python-dev \
python-setuptools \
unzip doxygen
mkdir /protobuf
export PROTOBUF_ROOT=/protobuf
cd /protobuf
git clone -b '3.2.x' https://github.com/google/protobuf.git .
./autogen.sh
./configure --prefix=/usr/local/protobuf
make "-j$(nproc)"
make install
cd python
python setup.py install --cpp_implementation
apt-get update
apt-get install -y --no-install-recommends \
ca-certificates \
cmake \
curl \
g++ \
git \
libatlas-base-dev \
libboost-filesystem-dev \
libboost-python-dev \
libboost-system-dev \
libboost-thread-dev \
libgflags-dev \
libgoogle-glog-dev \
libhdf5-serial-dev \
libleveldb-dev \
liblmdb-dev \
libnccl-dev=1.2.3-1+cuda8.0 \
libopencv-dev \
libsnappy-dev \
python-all-dev \
python-h5py \
python-matplotlib \
python-opencv \
python-pil \
python-pydot \
python-scipy \
python-skimage \
python-sklearn
# Build pip
curl -O https://bootstrap.pypa.io/get-pip.py
python get-pip.py
pip install --upgrade --no-cache-dir pip
apt-get -y install libprotobuf-dev protobuf-compiler
# Build caffe
mkdir /caffe
export CAFFE_ROOT=/caffe
git clone https://github.com/nvidia/caffe.git /caffe -b 'caffe-0.15'
cd /caffe
pip install ipython==5.4.1
pip install -r python/requirements.txt
# cat python/requirements.txt | xargs -n1 pip install
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=/usr/local/caffe -DUSE_NCCL=ON \
-DUSE_CUDNN=ON -DCUDA_ARCH_NAME=Manual -DCUDA_ARCH_BIN="35 52 60 61" \
-DCUDA_ARCH_PTX="61" ..
make -j"$(nproc)"
make install
make pycaffe
cd /
# Install the packages to get pip installed or else we run into numpy problems
apt-get update && apt-get install -y --no-install-recommends \
ca-certificates \
curl \
python
# Build pip, need to do this before DIGITS packages or else we get numpy problems
curl -O https://bootstrap.pypa.io/get-pip.py
python get-pip.py
pip install --upgrade --no-cache-dir pip
apt-get update && apt-get install -y --no-install-recommends \
build-essential \
git \
graphviz \
gunicorn \
libatlas3-base \
libboost-filesystem1.58.0 \
bboost-python1.58.0 \
libboost-system1.58.0 \
libboost-thread1.58.0 \
libfreetype6-dev \
libgoogle-glog0v5 \
libhdf5-serial-dev \
libleveldb1v5 \
libnccl1=1.2.3-1+cuda8.0 \
libopencv-core2.4v5 \
libopencv-highgui2.4v5 \
libopencv-imgproc2.4v5 \
libpng12-dev \
libzmq5 \
nginx \
pkg-config \
python-dev \
python-flask \
python-flaskext.socketio \
python-flaskext.wtf \
python-gevent \
python-lmdb \
python-opencv \
python-pil \
python-pydot \
python-requests \
python-six \
python-skimage \
python-tk \
python-wtforms \
rsync \
software-properties-common
rm -rf /var/lib/apt/lists/*
pip install https://github.com/NVIDIA/DIGITS/archive/v6.0.1.tar.gz
pip install --no-cache-dir \
setuptools\>=18.5 \
tensorflow-gpu==1.2.1 \
protobuf==3.2.0
mkdir /gpfs /gs2 /gs3 /gs4 /gs5 /gs6 /gs7 /gs8 /gs9 /gs10 /gs11 /gs12 /spin1 /data /scratch /fdb /lscratch
apt-get clean
%environment
export DIGITS_JOBS_DIR=/mnt
export DIGITS_LOGFILE_FILENAME=/mnt/digits.log
export PYTHONPATH=/usr/local/python
export DIGITS_VERSION=6.0
export PATH=/usr/local/caffe/bin/:$PATH
export PYTHONPATH=/usr/local/caffe/python/:$PYTHONPATH
export LD_LIBRARY_PATH=/usr/local/protobuf/lib:$LD_LIBRARY_PATH
Collection
- Name: NIH-HPC/singularity-examples
- License: None
View on Datalad
Metrics
key | value |
---|---|
id | /containers/NIH-HPC-singularity-examples-digits |
collection name | NIH-HPC/singularity-examples |
branch | master |
tag | digits |
commit | 57e92739d77fdc0b9a2374f8d2fa8dd1f6924694 |
version (container hash) | 240a885e7841258731bdd9fe9d27fcf3 |
build date | 2019-08-23T19:57:55.467Z |
size (MB) | 4492 |
size (bytes) | 1918017567 |
SIF | Download URL (please use pull with shub://) |
Datalad URL | View on Datalad |
Singularity Recipe | Singularity Recipe on Datalad |
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