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 \
		  unzip \
		  libjpeg8-dev \
		  autoconf \ 
		  automake \
		  libtool \
		  curl \
		  make \
		  g++ \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

RUN pip3 install --no-cache-dir setuptools Cython wheel


#
# build protobuf using cpp implementation
# https://jkjung-avt.github.io/tf-trt-revisited/
#
ARG PROTOBUF_VERSION=3.19.4
ARG PROTOBUF_URL=https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOBUF_VERSION}
ARG PROTOBUF_DIR=protobuf-python-${PROTOBUF_VERSION}
ARG PROTOC_DIR=protoc-${PROTOBUF_VERSION}-linux-aarch_64
ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp

RUN cd /tmp && \
    wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${PROTOBUF_URL}/$PROTOBUF_DIR.zip && \
    wget --quiet --show-progress --progress=bar:force:noscroll --no-check-certificate ${PROTOBUF_URL}/$PROTOC_DIR.zip && \
    unzip ${PROTOBUF_DIR}.zip -d ${PROTOBUF_DIR} && \
    unzip ${PROTOC_DIR}.zip -d ${PROTOC_DIR} && \
    cp ${PROTOC_DIR}/bin/protoc /usr/local/bin/protoc && \
    cd ${PROTOBUF_DIR}/protobuf-${PROTOBUF_VERSION} && \
    ./autogen.sh && \
    ./configure --prefix=/usr/local && \
    make -j$(nproc) && \
    make check -j4 && \
    make install && \
    ldconfig && \
    cd python && \
    python3 setup.py build --cpp_implementation && \
    python3 setup.py test --cpp_implementation && \
    python3 setup.py bdist_wheel --cpp_implementation && \
    cp dist/*.whl /opt && \
    pip3 install dist/*.whl && \
    cd ../../../ && \
    rm ${PROTOBUF_DIR}.zip && \
    rm ${PROTOC_DIR}.zip && \
    rm -rf ${PROTOBUF_DIR} && \
    rm -rf ${PROTOC_DIR}

#RUN python3 setup.py install --cpp_implementation && \
#RUN pip3 install protobuf==${PROTOBUF_VERSION} --install-option="--cpp_implementation" --no-cache-dir --verbose 
    
RUN pip3 show protobuf && \
    protoc --version

    
#
# install Python TF dependencies
#
RUN pip3 install --no-cache-dir --verbose numpy
RUN H5PY_SETUP_REQUIRES=0 pip3 install --no-cache-dir --verbose h5py==3.1.0
RUN pip3 install --no-cache-dir --verbose future==0.18.2 mock==3.0.5 keras_preprocessing==1.1.2 keras_applications==1.0.8 gast==0.4.0 futures 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