Dockerfile.tensorflow

# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.

ARG BASE_IMAGE
FROM ${BASE_IMAGE}


#
# setup environment
#
ENV DEBIAN_FRONTEND=noninteractive
ARG HDF5_DIR="/usr/lib/aarch64-linux-gnu/hdf5/serial/"
ARG MAKEFLAGS=-j$(nproc)

RUN printenv


#
# install prerequisites - https://docs.nvidia.com/deeplearning/frameworks/install-tf-jetson-platform/index.html#prereqs
#
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
          python3-pip \
		  python3-dev \
		  gfortran \
		  build-essential \
		  liblapack-dev \ 
		  libblas-dev \
		  libhdf5-serial-dev \
		  hdf5-tools \
		  libhdf5-dev \
		  zlib1g-dev \
		  zip \
		  libjpeg8-dev \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean


RUN pip3 install --no-cache-dir setuptools Cython wheel
RUN pip3 install --no-cache-dir --verbose numpy
RUN pip3 install --no-cache-dir --verbose h5py==2.10.0
RUN pip3 install --no-cache-dir --verbose future==0.18.2 mock==3.0.5 h5py==2.10.0 keras_preprocessing==1.1.1 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11


#
# TensorFlow 
#
ARG TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl
ARG TENSORFLOW_WHL=tensorflow-1.15.3+nv20.9-cp36-cp36m-linux_aarch64.whl

RUN wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${TENSORFLOW_URL} -O ${TENSORFLOW_WHL} && \
    pip3 install --no-cache-dir --verbose ${TENSORFLOW_WHL} && \
    rm ${TENSORFLOW_WHL}


# 
# PyCUDA
#
ENV PATH="/usr/local/cuda/bin:${PATH}"
ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64:${LD_LIBRARY_PATH}"
RUN echo "$PATH" && echo "$LD_LIBRARY_PATH"

RUN pip3 install --no-cache-dir --verbose pycuda six