Dockerfile

# 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
# throughout. Please refer to the TensorFlow dockerfiles documentation
# for more information.

ARG UBUNTU_VERSION=18.04

FROM nvidia/cuda:10.0-base-ubuntu${UBUNTU_VERSION} as base

# Pick up some TF dependencies

RUN apt-get update && apt-get install -y --no-install-recommends \
        build-essential \
        cuda-command-line-tools-10-0 \
        cuda-cublas-10-0 \
        cuda-cufft-10-0 \
        cuda-curand-10-0 \
        cuda-cusolver-10-0 \
        cuda-cusparse-10-0 \
        libcudnn7=7.4.1.5-1+cuda10.0 \
        libfreetype6-dev \
        libhdf5-serial-dev \
        libpng-dev \
        libzmq3-dev \
        pkg-config \
        software-properties-common \
        unzip

RUN apt-get update && \
        apt-get install nvinfer-runtime-trt-repo-ubuntu1804-5.0.2-ga-cuda10.0 \
        && apt-get update \
        && apt-get install -y --no-install-recommends libnvinfer5=5.0.2-1+cuda10.0 \
        && apt-get clean \
        && rm -rf /var/lib/apt/lists/*

# For CUDA profiling, TensorFlow requires CUPTI.
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH

ARG PYTHON=python3
ARG PIP=pip3

# See http://bugs.python.org/issue19846
ENV LANG C.UTF-8

RUN apt-get update && apt-get install -y \
    ${PYTHON} \
    ${PYTHON}-pip

RUN ${PIP} --no-cache-dir install --upgrade \
    pip \
    setuptools

# Some TF tools expect a "python" binary
RUN ln -s $(which ${PYTHON}) /usr/local/bin/python

# Options:
#   tensorflow
#   tensorflow-gpu
#   tf-nightly
#   tf-nightly-gpu
ARG TF_PACKAGE=tensorflow-gpu==1.13.rc0
RUN ${PIP} install ${TF_PACKAGE} pandas

COPY bashrc /etc/bash.bashrc
RUN chmod a+rwx /etc/bash.bashrc