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Dockerfile.deps
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Dockerfile.deps
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#########################################################################################
## Stage 1: build DALI dependencies
## DALI is based on "manylinux3", which is our modification of manylinux1
## (CentOS 5 derivative). For building this docker image, manylinux3 has to
## be manually built. It is also possible to use other distros, but we don't
## officially support them.
## For instructions, how to build manylinux3 with our patch see:
## //DALI/docker/build.sh#L16
#########################################################################################
ARG FROM_IMAGE_NAME=gitlab-master.nvidia.com:5005/dl/dali/manylinux:manylinux3_x86_64
ARG USE_CUDA_VERSION=9
FROM ${FROM_IMAGE_NAME} as base
# CUDA
FROM base as cuda-9
RUN CUDA_VERSION=9.0 && \
CUDA_BUILD=9.0.176_384.81 && \
curl -LO https://developer.nvidia.com/compute/cuda/${CUDA_VERSION}/Prod/local_installers/cuda_${CUDA_BUILD}_linux-run && \
chmod +x cuda_${CUDA_BUILD}_linux-run && \
./cuda_${CUDA_BUILD}_linux-run --silent --no-opengl-libs --toolkit && \
rm -f cuda_${CUDA_BUILD}_linux-run; \
# nvJpeg
NVJPEG_VERSION=719-25900922 && \
NVJPEG_BUILD=9.0.${NVJPEG_VERSION} && \
curl -L https://developer.download.nvidia.com/compute/redist/libnvjpeg/cuda-linux64-nvjpeg-${NVJPEG_BUILD}.tar.gz | tar -xzf - && \
cd /cuda-linux64-nvjpeg/ && \
mv lib64/libnvjpeg*.a* /usr/local/cuda/lib64/ && \
mv include/nvjpeg.h /usr/local/cuda/include/ && \
rm -rf /cuda-linux64-nvjpeg;
FROM base as cuda-10
RUN CUDA_VERSION=10.0 && \
CUDA_BUILD=10.0.130_410.48 && \
curl -LO https://developer.nvidia.com/compute/cuda/${CUDA_VERSION}/Prod/local_installers/cuda_${CUDA_BUILD}_linux && \
chmod +x cuda_${CUDA_BUILD}_linux && \
./cuda_${CUDA_BUILD}_linux --silent --no-opengl-libs --toolkit && \
rm -f cuda_${CUDA_BUILD}_linux; \
# nvJpeg
CUDA_VERSION=10.0 && \
CUDA_PATCH=1 && \
CUDA_BUILD=10.0.130.1 && \
curl -LO https://developer.download.nvidia.com/compute/cuda/${CUDA_VERSION}/Prod/patches/${CUDA_PATCH}/cuda_${CUDA_BUILD}_linux.run && \
chmod +x cuda_${CUDA_BUILD}_linux.run && \
./cuda_${CUDA_BUILD}_linux.run --silent --accept-eula --installdir=/usr/local/cuda-10.0 && \
rm -f cuda_${CUDA_BUILD}_linux-run;
FROM cuda-${USE_CUDA_VERSION} as cuda
# Actual image
FROM base
# Install yum Dependencies
RUN yum install -y zip wget yasm doxygen graphviz
# Don't want the short-unicode version for Python 2.7
RUN rm -f /opt/python/cp27-cp27m
# Boost
RUN BOOST_VERSION=1.66.0 && \
cd /usr/local && \
curl -L https://dl.bintray.com/boostorg/release/1.66.0/source/boost_${BOOST_VERSION//./_}.tar.gz | tar -xzf - && \
ln -s ../boost_${BOOST_VERSION//./_}/boost include/boost
# CMake
RUN CMAKE_VERSION=3.11 && \
CMAKE_BUILD=3.11.0 && \
curl -L https://cmake.org/files/v${CMAKE_VERSION}/cmake-${CMAKE_BUILD}.tar.gz | tar -xzf - && \
cd /cmake-${CMAKE_BUILD} && \
./bootstrap --parallel=$(grep ^processor /proc/cpuinfo | wc -l) && \
make -j"$(grep ^processor /proc/cpuinfo | wc -l)" install && \
rm -rf /cmake-${CMAKE_BUILD}
# protobuf v3.5.1
RUN PROTOBUF_VERSION=3.5.1 && \
curl -L https://github.com/google/protobuf/releases/download/v${PROTOBUF_VERSION}/protobuf-all-${PROTOBUF_VERSION}.tar.gz | tar -xzf - && \
cd /protobuf-${PROTOBUF_VERSION} && \
./autogen.sh && \
./configure CXXFLAGS="-fPIC" --prefix=/usr/local --disable-shared 2>&1 > /dev/null && \
make -j"$(grep ^processor /proc/cpuinfo | wc -l)" install 2>&1 > /dev/null && \
rm -rf /protobuf-${PROTOBUF_VERSION}
# LMDB
COPY docker/Makefile-lmdb.patch /tmp
RUN LMDB_VERSION=0.9.22 && \
git clone -b LMDB_${LMDB_VERSION} --single-branch https://github.com/LMDB/lmdb && \
cd /lmdb/libraries/liblmdb && \
patch -p3 < /tmp/Makefile-lmdb.patch && \
rm -f /tmp/Makefile-lmdb.patch && \
make -j"$(grep ^processor /proc/cpuinfo | wc -l)" install && \
rm -rf /lmdb
# libjpeg-turbo
RUN JPEG_TURBO_VERSION=2.0.2 && \
curl -L https://github.com/libjpeg-turbo/libjpeg-turbo/archive/${JPEG_TURBO_VERSION}.tar.gz | tar -xzf - && \
cd libjpeg-turbo-${JPEG_TURBO_VERSION} && \
cmake -G"Unix Makefiles" -DENABLE_SHARED=TRUE -DCMAKE_INSTALL_PREFIX=/usr/local . 2>&1 >/dev/null && \
make -j"$(grep ^processor /proc/cpuinfo | wc -l)" install 2>&1 >/dev/null && \
rm -rf /libjpeg-turbo-${JPEG_TURBO_VERSION}
# OpenCV
RUN OPENCV_VERSION=3.4.3 && \
curl -L https://github.com/opencv/opencv/archive/${OPENCV_VERSION}.tar.gz | tar -xzf - && \
cd /opencv-${OPENCV_VERSION} && mkdir build && cd build && \
cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local \
-DBUILD_SHARED_LIBS=OFF \
-DWITH_CUDA=OFF -DWITH_1394=OFF -DWITH_IPP=OFF -DWITH_OPENCL=OFF -DWITH_GTK=OFF \
-DBUILD_JPEG=OFF -DWITH_JPEG=ON \
-DBUILD_DOCS=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_PNG=ON \
-DBUILD_opencv_cudalegacy=OFF -DBUILD_opencv_stitching=OFF \
-DWITH_TBB=OFF -DWITH_OPENMP=OFF -DWITH_PTHREADS_PF=OFF -DWITH_CSTRIPES=OFF .. && \
make -j"$(grep ^processor /proc/cpuinfo | wc -l)" install && \
rm -rf /opencv-${OPENCV_VERSION}
# Clang
RUN CLANG_VERSION=6.0.1 && \
cd /usr/local && \
wget http://releases.llvm.org/${CLANG_VERSION}/clang+llvm-${CLANG_VERSION}-x86_64-linux-sles11.3.tar.xz && \
tar -xJf clang+llvm-${CLANG_VERSION}-x86_64-linux-sles11.3.tar.xz --strip 1 && \
rm clang+llvm-${CLANG_VERSION}-x86_64-linux-sles11.3.tar.xz
ENV NVIDIA_DRIVER_CAPABILITIES=video,compute,utility
# FFmpeg
RUN FFMPEG_VERSION=3.4.2 && \
cd /tmp && wget https://developer.download.nvidia.com/compute/redist/nvidia-dali/ffmpeg-${FFMPEG_VERSION}.tar.bz2 && \
tar xf ffmpeg-$FFMPEG_VERSION.tar.bz2 && \
rm ffmpeg-$FFMPEG_VERSION.tar.bz2 && \
cd ffmpeg-$FFMPEG_VERSION && \
./configure \
--prefix=/usr/local \
--disable-static \
--disable-all \
--disable-autodetect \
--disable-iconv \
--enable-shared \
--enable-avformat \
--enable-avcodec \
--enable-avfilter \
--enable-protocol=file \
--enable-demuxer=mov,matroska \
--enable-bsf=h264_mp4toannexb,hevc_mp4toannexb && \
make -j"$(grep ^processor /proc/cpuinfo | wc -l)" && make install && \
cd /tmp && rm -rf ffmpeg-$FFMPEG_VERSION
# CUDA
COPY --from=cuda /usr/local/cuda /usr/local/cuda