Dockerfile-Tensorflow2-Jetson

Dockerfile

# 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=nvcr.io/nvidia/l4t-base:r32.4.2
FROM ${BASE_IMAGE}

ENV DEBIAN_FRONTEND=noninteractive

#
# 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 \
          liblapack-dev \
          libblas-dev \
          python3-pip \
		  python3-dev \
		  gfortran \
		  build-essential \
		  libopenblas-dev \
		  libhdf5-serial-dev \
		  hdf5-tools \
		  libhdf5-dev \
		  zlib1g-dev \
		  zip \
		  libjpeg8-dev \
    && rm -rf /var/lib/apt/lists/*

RUN pip3 install setuptools Cython wheel
RUN pip3 install numpy --verbose
RUN HDF5_DIR=/usr/lib/aarch64-linux-gnu/hdf5/serial/ pip3 install h5py==2.9.0 --verbose
RUN pip3 install future==0.17.1 mock==3.0.5 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11 --verbose

# #
# TensorFlow (for JetPack 4.4 DP)
#
#  TensorFlow 2.1 https://nvidia.box.com/shared/static/rummpy6q1km1wivomalpkwt2jy28mndf.whl (tensorflow-1.15.2+nv-cp36-cp36m-linux_aarch64.whl)
#
ARG TENSORFLOW_URL=https://developer.download.nvidia.com/compute/redist/jp/v44/tensorflow/tensorflow-2.1.0+nv20.4-cp36-cp36m-linux_aarch64.whl
ARG TENSORFLOW_WHL=tensorflow-2.1.0+nv20.4-cp36-cp36m-linux_aarch64.whl

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