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# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
#
# THIS IS A GENERATED DOCKERFILE.
#
# This file was assembled from multiple pieces, whose use is documented
# below. Please refer to the the TensorFlow dockerfiles documentation for
# more information. Build args are documented as their default value.
#
# Ubuntu-based, Nvidia-GPU-enabled environment for developing changes for TensorFlow, with Jupyter included.
#
# Start from Nvidia's Ubuntu base image with CUDA and CuDNN, with TF development
# packages.
# --build-arg UBUNTU_VERSION=16.04
# ( no description )
#
# Python is required for TensorFlow and other libraries.
# --build-arg USE_PYTHON_3_NOT_2=True
# Install python 3 over Python 2
#
# Install the latest version of Bazel and Python development tools.
#
# Configure TensorFlow's shell prompt and login tools.
#
# Launch Jupyter on execution instead of a bash prompt.
ARG UBUNTU_VERSION=16.04
FROM nvidia/cuda:9.0-base-ubuntu${UBUNTU_VERSION}
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
cuda-command-line-tools-9-0 \
cuda-cublas-dev-9-0 \
cuda-cudart-dev-9-0 \
cuda-cufft-dev-9-0 \
cuda-curand-dev-9-0 \
cuda-cusolver-dev-9-0 \
cuda-cusparse-dev-9-0 \
curl \
git \
libcudnn7=7.1.4.18-1+cuda9.0 \
libcudnn7-dev=7.1.4.18-1+cuda9.0 \
libnccl2=2.2.13-1+cuda9.0 \
libnccl-dev=2.2.13-1+cuda9.0 \
libcurl3-dev \
libfreetype6-dev \
libhdf5-serial-dev \
libpng12-dev \
libzmq3-dev \
pkg-config \
rsync \
software-properties-common \
unzip \
zip \
zlib1g-dev \
wget \
&& \
rm -rf /var/lib/apt/lists/* && \
find /usr/local/cuda-9.0/lib64/ -type f -name 'lib*_static.a' -not -name 'libcudart_static.a' -delete && \
rm /usr/lib/x86_64-linux-gnu/libcudnn_static_v7.a
# Link NCCL libray and header where the build script expects them.
RUN mkdir /usr/local/cuda-9.0/lib && \
ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/local/cuda/lib/libnccl.so.2 && \
ln -s /usr/include/nccl.h /usr/local/cuda/include/nccl.h
# TODO(tobyboyd): Remove after license is excluded from BUILD file.
RUN gunzip /usr/share/doc/libnccl2/NCCL-SLA.txt.gz && \
cp /usr/share/doc/libnccl2/NCCL-SLA.txt /usr/local/cuda/
ARG USE_PYTHON_3_NOT_2=True
ARG _PY_SUFFIX=${USE_PYTHON_3_NOT_2:+3}
ARG PYTHON=python${_PY_SUFFIX}
ARG PIP=pip${_PY_SUFFIX}
RUN apt-get update && apt-get install -y \
${PYTHON} \
${PYTHON}-pip
RUN ${PIP} install --upgrade \
pip \
setuptools
RUN apt-get update && apt-get install -y \
build-essential \
curl \
git \
openjdk-8-jdk \
${PYTHON}-dev \
swig
# Install bazel
RUN echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
apt-get update && \
apt-get install -y bazel
COPY bashrc /etc/bash.bashrc
RUN chmod a+rwx /etc/bash.bashrc
RUN ${PIP} install jupyter
RUN mkdir /notebooks && chmod a+rwx /notebooks
RUN mkdir /.local && chmod a+rwx /.local
WORKDIR /notebooks
EXPOSE 8888
CMD ["bash", "-c", "source /etc/bash.bashrc && jupyter notebook --notebook-dir=/notebooks --ip 0.0.0.0 --no-browser --allow-root"]
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