STT-tensorflow/tensorflow/tools/ci_build/Dockerfile.gpu.ppc64le

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Docker

FROM nvidia/cuda-ppc64le:9.2-cudnn7-devel-ubuntu16.04
LABEL maintainer="William Irons <wdirons@us.ibm.com>"
# In the Ubuntu 16.04 images, cudnn is placed in system paths. Move them to
# /usr/local/cuda
RUN cp -P /usr/include/cudnn.h /usr/local/cuda/include
RUN cp -P /usr/lib/powerpc64le-linux-gnu/libcudnn* /usr/local/cuda/lib64
# Copy and run the install scripts.
COPY install/*.sh /install/
ARG DEBIAN_FRONTEND=noninteractive
RUN /install/install_bootstrap_deb_packages.sh
RUN add-apt-repository -y ppa:openjdk-r/ppa
RUN /install/install_deb_packages.sh
RUN /install/install_openblas_ppc64le.sh
RUN /install/install_hdf5_ppc64le.sh
RUN /install/install_pip_packages.sh
RUN /install/install_bazel_from_source.sh
RUN /install/install_golang_ppc64le.sh
# Set up the master bazelrc configuration file.
COPY install/.bazelrc /etc/bazel.bazelrc
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
# Configure the build for our CUDA configuration.
ENV TF_NEED_CUDA 1
ENV TF_CUDA_COMPUTE_CAPABILITIES 3.0
ENV TF_CUDA_VERSION 9.2
ENV CUDA_TOOLKIT_PATH /usr/local/cuda-9.2