Add 64bit Docker image for Raspberry Pi #109 (PR #207)

* Inital work for raspberrypi arm64 docker container #109

* Add aarch64 docker container to build tensorflow

* Add tensorflow for aarch64

* Add docker compose for raspberrypi running on 64bit kernel

docker/tensorflow/Dockerfile.aarch64

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+FROM ubuntu:18.04
+
+LABEL maintainer="Michael Mayer <michael@liquidbytes.net>"
+
+ENV DEBIAN_FRONTEND noninteractive
+ENV TMP /tmp
+ENV EXTRA_BAZEL_ARGS "--host_javabase=@local_jdk//:jdk"
+
+# Configure apt-get
+RUN echo 'Acquire::Retries "10";' > /etc/apt/apt.conf.d/80retry
+RUN echo 'APT::Install-Recommends "false";' > /etc/apt/apt.conf.d/80recommends
+RUN echo 'APT::Install-Suggests "false";' > /etc/apt/apt.conf.d/80suggests
+RUN echo 'APT::Get::Assume-Yes "true";' > /etc/apt/apt.conf.d/80forceyes
+RUN echo 'APT::Get::Fix-Missing "true";' > /etc/apt/apt.conf.d/80fixmissin
+
+# Install dev / build dependencies
+RUN apt-get update && apt-get upgrade && \
+    apt-get install \
+    ca-certificates \
+    build-essential \
+    autoconf \
+    automake \
+    libtool \
+    g++-4.8 \
+    gcc-4.8 \
+    libc6-dev \
+    zlib1g-dev \
+    libssl-dev \
+    curl \
+    chrpath \
+    pkg-config \
+    unzip \
+    zip \
+    make \
+    nano \
+    wget \
+    git \
+    libtool \
+    python3 \
+    python3-git \
+    openjdk-8-jdk
+
+# Use GCC 4.8 and Python 3 as default
+# See https://www.tensorflow.org/install/source#tested_build_configurations
+RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 10 && \
+    update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.8 10 && \
+    update-alternatives --install /usr/bin/python python /usr/bin/python3.6 10
+
+# Download Bazel & TensorFlow
+WORKDIR "/home/tensorflow"
+RUN wget https://github.com/tensorflow/tensorflow/archive/v1.14.0.tar.gz
+RUN tar -xzf v1.14.0.tar.gz
+
+# Install Bazel
+# RUN wget https://github.com/bazelbuild/bazel/releases/download/0.24.1/bazel-0.24.1-linux-x86_64
+RUN wget https://github.com/guysoft/bazel-bin/raw/master/bazel-0.24.1-aarch64
+RUN mv bazel-0.24.1-aarch64 /usr/local/bin/bazel && chmod 755 /usr/local/bin/bazel
+
+# Configure TensorFlow
+WORKDIR "/home/tensorflow/tensorflow-1.14.0"
+COPY ./*.sh ./
+COPY ./*.diff ./
+COPY ./tf_configure.bazelrc .tf_configure.bazelrc
+COPY ./Makefile.aarch64 Makefile
+RUN make patch

docker/tensorflow/Makefile.aarch64

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+TF_VERSION=1.14.0
+
+all: libtensorflow static archive
+patch:
+	git apply tensorflow-$(TF_VERSION).diff
+libtensorflow:
+	bazel build --jobs 2 --config=opt //tensorflow:libtensorflow.so
+static:
+	env JOB_COUNT=2 ARCH=armv8-a ./build_static.sh
+archive:
+	rm -rf tmp
+	mkdir -p tmp/lib/
+	mkdir -p tmp/include/tensorflow/c/eager/
+	cp bazel-bin/tensorflow/libtensorflow.so.$(TF_VERSION) tmp/lib/libtensorflow.so
+	cp bazel-bin/tensorflow/libtensorflow_framework.so.$(TF_VERSION) tmp/lib/libtensorflow_framework.so
+	cp tensorflow/c/eager/c_api.h tmp/include/tensorflow/c/eager/
+	cp tensorflow/c/c_api.h tensorflow/c/c_api_experimental.h LICENSE tmp/include/tensorflow/c/
+	#(cd tmp && tar -czf ../libtensorflow-nvidia-jetson-nano-$(TF_VERSION).tar.gz .)
+	#du -h libtensorflow-nvidia-jetson-nano-$(TF_VERSION).tar.gz
+guy@golem4:/tmp/photoprism/docker/tensorflow$ 
+

docker/tensorflow/build_dynamic.sh

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+#!/bin/bash
+time bazel build --jobs 2 --config=opt //tensorflow:libtensorflow.so
+

docker/tensorflow/docker-compose-aarch64.yml

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+version: '3.6'
+
+services:
+  build:
+    build:
+      context: .
+      dockerfile: Dockerfile.aarch64
+    container_name: tensorflow-build
+    tty: true
+    restart: always
+    volumes:
+      - ./out:/output
+
+