Вы должны поднять докер сборку ресурсов процессора и памяти.Я выполнил модернизацию 4 vcpu и 4 Gig ram до докера на своем ноутбуке, но вам нужно ограничить компилятор Bazzel C до 2048 Мегабайт памяти с помощью этой опции при построении образа обслуживания tenorflow
https://www.tensorflow.org/serving/docker
docker build --pull --build-arg TF_SERVING_BUILD_OPTIONS="--copt=-mavx \
--cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0 --local_resources 2048,.5,1.0" -t \
$USER/tensorflow-serving-devel -f Dockerfile.devel .
Также необходимо обновить версию Bazel до 20, чтобы сборка работала.в вашем файле Docker
Настройка Bazel augmenter версии 20 для компилятора тензор потока
Set up Bazel augmenter version 20 pour compiler tensorflow
# Need >= 0.15.0 so bazel compiles work with docker bind mounts.
ENV BAZEL_VERSION 0.20.0
WORKDIR /
RUN mkdir /bazel && \
cd /bazel && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -O https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -o /bazel/LICENSE.txt https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE && \
chmod +x bazel-*.sh && \
./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
cd / && \
rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh
Здесь весь файл docker с именем dockerbuild.txt и команда сборки docker
сборка docker --pull --build-arg TF_SERVING_BUILD_OPTIONS = "-copt = -mavx --cxxopt = -D_GLIBCXX_USE_CXX11_ABI = 0 --local_resources 2048, .5,1.0 "-f dockerbuild.txt.
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
FROM ubuntu:18.04 as base_build
ARG TF_SERVING_VERSION_GIT_BRANCH=master
ARG TF_SERVING_VERSION_GIT_COMMIT=head
LABEL maintainer=gvasudevan@google.com
LABEL tensorflow_serving_github_branchtag=${TF_SERVING_VERSION_GIT_BRANCH}
LABEL tensorflow_serving_github_commit=${TF_SERVING_VERSION_GIT_COMMIT}
RUN apt-get update && apt-get install -y --no-install-recommends \
automake \
build-essential \
ca-certificates \
curl \
git \
libcurl3-dev \
libfreetype6-dev \
libpng-dev \
libtool \
libzmq3-dev \
mlocate \
openjdk-8-jdk\
openjdk-8-jre-headless \
pkg-config \
python-dev \
software-properties-common \
swig \
unzip \
wget \
zip \
zlib1g-dev \
&& \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
RUN curl -fSsL -O https://bootstrap.pypa.io/get-pip.py && \
python get-pip.py && \
rm get-pip.py
RUN pip --no-cache-dir install \
grpcio \
h5py \
keras_applications \
keras_preprocessing \
mock \
numpy \
six \
Pillow \
matplotlib \
opencv-python \
pandas \
requests
# Set up Bazel augmenter version 20 pour compiler tensorflow
# Need >= 0.15.0 so bazel compiles work with docker bind mounts.
ENV BAZEL_VERSION 0.20.0
WORKDIR /
RUN mkdir /bazel && \
cd /bazel && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -O https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -o /bazel/LICENSE.txt https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE && \
chmod +x bazel-*.sh && \
./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
cd / && \
rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh
# Download TF Serving sources (optionally at specific commit).
WORKDIR /tensorflow-serving
RUN git clone --branch=${TF_SERVING_VERSION_GIT_BRANCH} https://github.com/tensorflow/serving . && \
git remote add upstream https://github.com/tensorflow/serving.git && \
if [ "${TF_SERVING_VERSION_GIT_COMMIT}" != "head" ]; then git checkout ${TF_SERVING_VERSION_GIT_COMMIT} ; fi
FROM base_build as binary_build
# Build, and install TensorFlow Serving
ARG TF_SERVING_BUILD_OPTIONS="--config=nativeopt"
RUN echo "Building with build options: ${TF_SERVING_BUILD_OPTIONS}"
ARG TF_SERVING_BAZEL_OPTIONS=""
RUN echo "Building with Bazel options: ${TF_SERVING_BAZEL_OPTIONS}"
RUN bazel build --color=yes --curses=yes \
${TF_SERVING_BAZEL_OPTIONS} \
--verbose_failures \
--output_filter=DONT_MATCH_ANYTHING \
${TF_SERVING_BUILD_OPTIONS} \
tensorflow_serving/model_servers:tensorflow_model_server && \
cp bazel-bin/tensorflow_serving/model_servers/tensorflow_model_server \
/usr/local/bin/
# Build and install TensorFlow Serving API
RUN bazel build --color=yes --curses=yes \
${TF_SERVING_BAZEL_OPTIONS} \
--verbose_failures \
--output_filter=DONT_MATCH_ANYTHING \
${TF_SERVING_BUILD_OPTIONS} \
tensorflow_serving/tools/pip_package:build_pip_package && \
bazel-bin/tensorflow_serving/tools/pip_package/build_pip_package \
/tmp/pip && \
pip --no-cache-dir install --upgrade \
/tmp/pip/tensorflow_serving_api-*.whl && \
rm -rf /tmp/pip
FROM binary_build as clean_build
# Clean up Bazel cache when done.
RUN bazel clean --expunge --color=yes && \
rm -rf /root/.cache
CMD ["/bin/bash"]