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Dockerfile
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FROM nvidia/cuda:8.0-cudnn5-devel-ubuntu14.04
RUN apt-get update && apt-get install -y --no-install-recommends \
autotools-dev \
build-essential \
cmake \
git \
gfortran-multilib \
libavcodec-dev \
libavformat-dev \
libjasper-dev \
libjpeg-dev \
libpng-dev \
liblapacke-dev \
libswscale-dev \
libtiff-dev \
pkg-config \
wget \
zlib1g-dev \
# Protobuf
ca-certificates \
curl \
unzip \
# For Kaldi
python-dev \
automake \
libtool \
autoconf \
subversion \
# For Kaldi's dependencies
libapr1 libaprutil1 libltdl-dev libltdl7 libserf-1-1 libsigsegv2 libsvn1 m4 \
# For SWIG
libpcre++-dev && \
rm -rf /var/lib/apt/lists/*
RUN OPENMPI_VERSION=1.10.3 && \
wget -q -O - https://www.open-mpi.org/software/ompi/v1.10/downloads/openmpi-${OPENMPI_VERSION}.tar.gz | tar -xzf - && \
cd openmpi-${OPENMPI_VERSION} && \
./configure --prefix=/usr/local/mpi && \
make -j"$(nproc)" install && \
rm -rf /openmpi-${OPENMPI_VERSION}
ENV PATH /usr/local/mpi/bin:$PATH
ENV LD_LIBRARY_PATH /usr/local/mpi/lib:$LD_LIBRARY_PATH
RUN LIBZIP_VERSION=1.1.2 && \
wget -q -O - http://nih.at/libzip/libzip-${LIBZIP_VERSION}.tar.gz | tar -xzf - && \
cd libzip-${LIBZIP_VERSION} && \
./configure && \
make -j"$(nproc)" install && \
rm -rf /libzip-${LIBZIP_VERSION}
ENV LD_LIBRARY_PATH /usr/local/lib:$LD_LIBRARY_PATH
RUN wget -q -O - https://github.com/NVlabs/cub/archive/1.4.1.tar.gz | tar -C /usr/local -xzf -
RUN OPENCV_VERSION=3.1.0 && \
wget -q -O - https://github.com/Itseez/opencv/archive/${OPENCV_VERSION}.tar.gz | tar -xzf - && \
cd opencv-${OPENCV_VERSION} && \
cmake -DWITH_CUDA=OFF -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local/opencv-${OPENCV_VERSION} . && \
make -j"$(nproc)" install && \
rm -rf /opencv-${OPENCV_VERSION}
RUN OPENBLAS_VERSION=0.2.18 && \
wget -q -O - https://github.com/xianyi/OpenBLAS/archive/v${OPENBLAS_VERSION}.tar.gz | tar -xzf - && \
cd OpenBLAS-${OPENBLAS_VERSION} && \
make -j"$(nproc)" USE_OPENMP=1 | tee make.log && \
grep -qF 'OpenBLAS build complete. (BLAS CBLAS LAPACK LAPACKE)' make.log && \
grep -qF 'Use OpenMP in the multithreading.' make.log && \
make PREFIX=/usr/local/openblas install && \
rm -rf /OpenBLAS-${OPENBLAS_VERSION}
ENV LD_LIBRARY_PATH /usr/local/openblas/lib:$LD_LIBRARY_PATH
# Install Boost
RUN BOOST_VERSION=1_60_0 && \
BOOST_DOTTED_VERSION=$(echo $BOOST_VERSION | tr _ .) && \
wget -q -O - https://sourceforge.net/projects/boost/files/boost/${BOOST_DOTTED_VERSION}/boost_${BOOST_VERSION}.tar.gz/download | tar -xzf - && \
cd boost_${BOOST_VERSION} && \
./bootstrap.sh --prefix=/usr/local/boost-${BOOST_DOTTED_VERSION} --with-libraries=filesystem,system,test && \
./b2 -d0 -j"$(nproc)" install && \
rm -rf /boost_${BOOST_VERSION}
# Install Protobuf
RUN PROTOBUF_VERSION=3.1.0 \
PROTOBUF_STRING=protobuf-$PROTOBUF_VERSION && \
wget -O - --no-verbose https://github.com/google/protobuf/archive/v${PROTOBUF_VERSION}.tar.gz | tar -xzf - && \
cd $PROTOBUF_STRING && \
./autogen.sh && \
./configure CFLAGS=-fPIC CXXFLAGS=-fPIC --disable-shared --prefix=/usr/local/$PROTOBUF_STRING && \
make -j $(nproc) install && \
cd .. && \
rm -rf $PROTOBUF_STRING
# Install CNTK custom MKL
RUN CNTK_CUSTOM_MKL_VERSION=3 && \
mkdir /usr/local/CNTKCustomMKL && \
wget --no-verbose -O - https://www.cntk.ai/mkl/CNTKCustomMKL-Linux-$CNTK_CUSTOM_MKL_VERSION.tgz | \
tar -xzf - -C /usr/local/CNTKCustomMKL
# Install Kaldi
ENV KALDI_VERSION=c024e8aa
ENV KALDI_PATH /usr/local/kaldi-$KALDI_VERSION
RUN mv /bin/sh /bin/sh.orig && \
ln -s -f /bin/bash /bin/sh && \
mkdir $KALDI_PATH && \
wget --no-verbose -O - https://github.com/kaldi-asr/kaldi/archive/$KALDI_VERSION.tar.gz | tar -xzf - --strip-components=1 -C $KALDI_PATH && \
cd $KALDI_PATH && \
cd tools && \
perl -pi -e 's/^# (OPENFST_VERSION = 1.4.1)$/\1/' Makefile && \
./extras/check_dependencies.sh && \
make -j $(nproc) all && \
cd ../src && \
./configure --openblas-root=/usr/local/openblas --shared && \
make -j $(nproc) depend && \
make -j $(nproc) all && \
# Remove some unneeded stuff in $KALDI_PATH to reduce size
find $KALDI_PATH -name '*.o' -print0 | xargs -0 rm && \
for dir in $KALDI_PATH/src/*bin; do make -C $dir clean; done && \
mv -f /bin/sh.orig /bin/sh
## PYTHON
# Swig
RUN cd /root && \
wget -q http://prdownloads.sourceforge.net/swig/swig-3.0.10.tar.gz -O - | tar xvfz - && \
cd swig-3.0.10 && \
./configure --without-java --without-perl5 && \
make -j $(nproc) && \
make install
# Anaconda
RUN wget -q https://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh && \
bash Anaconda3-4.2.0-Linux-x86_64.sh -b && \
rm Anaconda3-4.2.0-Linux-x86_64.sh
RUN CONDA_ENV_PATH=/tmp/conda-linux-cntk-py35-environment.yml; \
wget -q https://raw.githubusercontent.com/Microsoft/CNTK/master/Scripts/install/linux/conda-linux-cntk-py35-environment.yml -O "$CONDA_ENV_PATH" && \
/root/anaconda3/bin/conda env create -p /root/anaconda3/envs/cntk-py35 --file "$CONDA_ENV_PATH" && \
rm -f "$CONDA_ENV_PATH"
ENV PATH /root/anaconda3/envs/cntk-py35/bin:$PATH
# NCCL
ENV NCCL_VERSION=1.3.0-1
ENV NCCL_PATH /usr/local/nccl-${NCCL_VERSION}
RUN git clone --depth=1 -b v${NCCL_VERSION} https://github.com/NVIDIA/nccl.git && \
cd nccl && \
make CUDA_HOME=/usr/local/cuda PREFIX=$NCCL_PATH install && \
rm -rf /nccl
WORKDIR /cntk
RUN mkdir -p /usr/local/cudnn/cuda/include && \
ln -s /usr/include/cudnn.h /usr/local/cudnn/cuda/include/cudnn.h && \
mkdir -p /usr/local/cudnn/cuda/lib64 && \
ln -s /etc/alternatives/libcudnn_so /usr/local/cudnn/cuda/lib64/libcudnn.so && \
ln -s /usr/local/cuda/lib64/stubs/libnvidia-ml.so /usr/local/cuda/lib64/stubs/libnvidia-ml.so.1
# Build CNTK
RUN git clone --depth=1 -b master https://github.com/Microsoft/CNTK.git . && \
CONFIGURE_OPTS="\
--with-cuda=/usr/local/cuda \
--with-gdk-include=/usr/local/cuda/include \
--with-gdk-nvml-lib=/usr/local/cuda/lib64/stubs \
--with-kaldi=${KALDI_PATH} \
--with-py35-path=/root/anaconda3/envs/cntk-py35 \
--with-cudnn=/usr/local/cudnn \
--with-nccl=${NCCL_PATH}" && \
git submodule update --init Source/Multiverso && \
mkdir -p build/gpu/release && \
cd build/gpu/release && \
../../../configure $CONFIGURE_OPTS --with-openblas=/usr/local/openblas && \
make -j"$(nproc)" all && \
cd ../../.. && \
mkdir -p build-mkl/gpu/release && \
cd build-mkl/gpu/release && \
../../../configure $CONFIGURE_OPTS --with-mkl=/usr/local/CNTKCustomMKL && \
make -j"$(nproc)" all
RUN cd Examples/Image/DataSets/CIFAR-10 && \
python install_cifar10.py && \
cd ../../../..
RUN cd Examples/Image/DataSets/MNIST && \
python install_mnist.py && \
cd ../../../..
ENV PATH=/cntk/build/gpu/release/bin:$PATH PYTHONPATH=/cntk/bindings/python LD_LIBRARY_PATH=/cntk/bindings/python/cntk/libs:$LD_LIBRARY_PATH