I am trying to install tensorflow 1.2.1 in my Docker image, but it is always failing with "no distribution found".
I have attached a simple Dockerfile where I am trying to install tensorflow.You can find that before to last CMD line.
It is failing with below error:
Step 11/12 : RUN pip3 install tensorflow ---> Running in cfee43b9d1f7 Collecting tensorflow Could not find a version that satisfies the requirement tensorflow (from versions: ) No matching distribution found for tensorflow The command '/bin/sh -c pip3 install tensorflow' returned a non-zero code: 1
#
# NOTE: THIS DOCKERFILE IS GENERATED VIA "update.sh"
#
# PLEASE DO NOT EDIT IT DIRECTLY.
#
FROM alpine:3.7
# ensure local python is preferred over distribution python
ENV PATH /usr/local/bin:$PATH
# http://bugs.python.org/issue19846
# > At the moment, setting "LANG=C" on a Linux system *fundamentally breaks Python 3*, and that's not OK.
ENV LANG C.UTF-8
# install ca-certificates so that HTTPS works consistently
# the other runtime dependencies for Python are installed later
RUN apk add --no-cache ca-certificates
ENV GPG_KEY 0D96DF4D4110E5C43FBFB17F2D347EA6AA65421D
ENV PYTHON_VERSION 3.6.4
RUN set -ex \
&& apk add --no-cache --virtual .fetch-deps \
gnupg \
libressl \
tar \
xz \
\
&& wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz" \
&& wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc" \
&& export GNUPGHOME="$(mktemp -d)" \
&& gpg --keyserver ha.pool.sks-keyservers.net --recv-keys "$GPG_KEY" \
&& gpg --batch --verify python.tar.xz.asc python.tar.xz \
&& rm -rf "$GNUPGHOME" python.tar.xz.asc \
&& mkdir -p /usr/src/python \
&& tar -xJC /usr/src/python --strip-components=1 -f python.tar.xz \
&& rm python.tar.xz \
\
&& apk add --no-cache --virtual .build-deps \
bzip2-dev \
coreutils \
dpkg-dev dpkg \
expat-dev \
gcc \
gdbm-dev \
libc-dev \
libffi-dev \
linux-headers \
make \
ncurses-dev \
libressl \
libressl-dev \
pax-utils \
readline-dev \
sqlite-dev \
tcl-dev \
tk \
tk-dev \
xz-dev \
zlib-dev \
# add build deps before removing fetch deps in case there's overlap
&& apk del .fetch-deps \
\
&& cd /usr/src/python \
&& gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)" \
&& ./configure \
--build="$gnuArch" \
--enable-loadable-sqlite-extensions \
--enable-shared \
--with-system-expat \
--with-system-ffi \
--without-ensurepip \
&& make -j "$(nproc)" \
# set thread stack size to 1MB so we don't segfault before we hit sys.getrecursionlimit()
# https://github.com/alpinelinux/aports/commit/2026e1259422d4e0cf92391ca2d3844356c649d0
EXTRA_CFLAGS="-DTHREAD_STACK_SIZE=0x100000" \
&& make install \
\
&& runDeps="$( \
scanelf --needed --nobanner --format '%n#p' --recursive /usr/local \
| tr ',' '\n' \
| sort -u \
| awk 'system("[ -e /usr/local/lib/" $1 " ]") == 0 { next } { print "so:" $1 }' \
)" \
&& apk add --virtual .python-rundeps $runDeps \
&& apk del .build-deps \
\
&& find /usr/local -depth \
\( \
\( -type d -a \( -name test -o -name tests \) \) \
-o \
\( -type f -a \( -name '*.pyc' -o -name '*.pyo' \) \) \
\) -exec rm -rf '{}' + \
&& rm -rf /usr/src/python
# make some useful symlinks that are expected to exist
RUN cd /usr/local/bin \
&& ln -s idle3 idle \
&& ln -s pydoc3 pydoc \
&& ln -s python3 python \
&& ln -s python3-config python-config
# if this is called "PIP_VERSION", pip explodes with "ValueError: invalid truth value '<VERSION>'"
ENV PYTHON_PIP_VERSION 9.0.3
RUN set -ex; \
\
apk add --no-cache --virtual .fetch-deps libressl; \
\
wget -O get-pip.py 'https://bootstrap.pypa.io/get-pip.py'; \
\
apk del .fetch-deps; \
\
python get-pip.py \
--disable-pip-version-check \
--no-cache-dir \
"pip==$PYTHON_PIP_VERSION" \
; \
pip --version; \
\
find /usr/local -depth \
\( \
\( -type d -a \( -name test -o -name tests \) \) \
-o \
\( -type f -a \( -name '*.pyc' -o -name '*.pyo' \) \) \
\) -exec rm -rf '{}' +; \
rm -f get-pip.py
**RUN pip3 install tensorflow==1.2.1**
CMD ["python3"]
Alpine images use musl instead, but almost all Python packages build wheels (the binary versions of python packages which are pre-compiled and install very fast) compiled against glibc, so they can't be used inside Alpine images.
I struggled to install Tensorflow on Alpine myself but ended up building a wheel that works with Alpine 3.7: https://github.com/better/alpine-tensorflow
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