Build TensorFlow v1.13.1 in Docker container #83
This commit is contained in:
Michael Mayer
parent
1b0b41b824
commit
ec518628c8
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FROM photoprism/development:20190617
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FROM ubuntu:18.04
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# Install Python and TensorFlow
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3 \
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python-setuptools \
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python3-dev \
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&& \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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LABEL maintainer="Michael Mayer <michael@liquidbytes.net>"
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RUN curl -O https://bootstrap.pypa.io/get-pip.py && \
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python get-pip.py && \
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rm get-pip.py
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ENV DEBIAN_FRONTEND noninteractive
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RUN pip --no-cache-dir install --upgrade \
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tensorflow \
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requests \
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Pillow \
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h5py \
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ipykernel \
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jupyter \
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keras_applications \
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keras_preprocessing \
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matplotlib \
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numpy \
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pandas \
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scipy \
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sklearn \
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&& \
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python -m ipykernel.kernelspec
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# Configure apt-get
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RUN echo 'Acquire::Retries "10";' > /etc/apt/apt.conf.d/80retry
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RUN echo 'APT::Install-Recommends "false";' > /etc/apt/apt.conf.d/80recommends
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RUN echo 'APT::Install-Suggests "false";' > /etc/apt/apt.conf.d/80suggests
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RUN echo 'APT::Get::Assume-Yes "true";' > /etc/apt/apt.conf.d/80forceyes
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RUN echo 'APT::Get::Fix-Missing "true";' > /etc/apt/apt.conf.d/80fixmissin
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# Install dev / build dependencies
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RUN apt-get update && apt-get upgrade && \
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apt-get install \
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ca-certificates \
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build-essential \
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autoconf \
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automake \
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libtool \
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g++-4.8 \
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gcc-4.8 \
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libc6-dev \
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zlib1g-dev \
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libssl-dev \
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curl \
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chrpath \
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pkg-config \
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unzip \
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zip \
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make \
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nano \
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wget \
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git
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# Use GCC 4.8 as default compiler
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# See https://www.tensorflow.org/install/source#tested_build_configurations
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RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 10 && \
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update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.8 10
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# Set up project directory
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WORKDIR "/go/src/github.com/photoprism/photoprism"
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COPY . .
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WORKDIR "/home/tensorflow"
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# Build PhotoPrism
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RUN make all install
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# Download TensorFlow
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RUN wget https://github.com/tensorflow/tensorflow/archive/v1.13.1.tar.gz
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RUN tar -xzf v1.13.1.tar.gz
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# Start PhotoPrism server
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CMD photoprism start
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# Build TensorFlow
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WORKDIR "/home/tensorflow/tensorflow-1.13.1"
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COPY /docker/tensorflow/build_all_linux_arch.sh tensorflow/contrib/makefile/build_all_linux_arch.sh
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RUN env JOB_COUNT=1 ARCH=core-avx-i tensorflow/contrib/makefile/build_all_linux_arch.sh
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# Keep container running
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CMD tail -f /dev/null
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55
docker/tensorflow/build_all_linux_arch.sh
Executable file
55
docker/tensorflow/build_all_linux_arch.sh
Executable file
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@ -0,0 +1,55 @@
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#!/usr/bin/env bash
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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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# Downloads and builds all of TensorFlow's dependencies for Linux, and compiles
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# the TensorFlow library itself. Supported on Ubuntu 14.04 and 16.04.
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set -e
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# Make sure we're in the correct directory, at the root of the source tree.
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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cd ${SCRIPT_DIR}/../../../
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source "${SCRIPT_DIR}/build_helper.subr"
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# Note: Limit the number of jobs to 1 on ARM64 to prevent the build from being killed
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JOB_COUNT="${JOB_COUNT:-$(get_job_count)}"
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# Set CPU architecture e.g. core-avx-i, haswell or armv8-a
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# See https://gcc.gnu.org/onlinedocs/gcc/x86-Options.html
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# and https://gcc.gnu.org/onlinedocs/gcc/AArch64-Options.html
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ARCH=${ARCH:-core-avx-i}
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# Remove any old files first.
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make -f tensorflow/contrib/makefile/Makefile clean
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rm -rf tensorflow/contrib/makefile/downloads
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# Pull down the required versions of the frameworks we need.
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tensorflow/contrib/makefile/download_dependencies.sh
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# Compile nsync.
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# Don't use export var=`something` syntax; it swallows the exit status.
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HOST_NSYNC_LIB=`tensorflow/contrib/makefile/compile_nsync.sh`
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TARGET_NSYNC_LIB="$HOST_NSYNC_LIB"
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export HOST_NSYNC_LIB TARGET_NSYNC_LIB
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# Compile protobuf.
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tensorflow/contrib/makefile/compile_linux_protobuf.sh
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# Build TensorFlow for ARCH.
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make -j"${JOB_COUNT}" -f tensorflow/contrib/makefile/Makefile \
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OPTFLAGS="-O3 -march=${ARCH}" \
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HOST_CXXFLAGS="--std=c++11 -march=${ARCH}" \
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MAKEFILE_DIR=${SCRIPT_DIR}
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