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FROM arm64v8/ubuntu:20.04 as base | ||
ENV DEBIAN_FRONTEND=noninteractive | ||
# See http://bugs.python.org/issue19846 | ||
ENV LANG C.UTF-8 | ||
# https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/dockerfiles/dockerfiles | ||
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ARG DEBIAN_FRONTEND=noninteractive | ||
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# Install apt dependencies | ||
RUN apt-get update && apt-get install -y --no-install-recommends \ | ||
python3 \ | ||
python3-pip \ | ||
python3-dev \ | ||
build-essential \ | ||
protobuf-compiler \ | ||
wget \ | ||
curl \ | ||
git \ | ||
gpg-agent \ | ||
gnupg \ | ||
libgl1 \ | ||
libglib2.0-0 \ | ||
unzip \ | ||
libstdc++6 && \ | ||
apt-get clean && \ | ||
rm -rf /var/lib/apt/lists/* && \ | ||
ln -s $(which python3) /usr/local/bin/python | ||
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# Update pip/setuptools | ||
RUN python3 -m pip --no-cache-dir install --upgrade \ | ||
pip \ | ||
setuptools | ||
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# Install dependancies for Tensorflow | ||
ADD tensorflow_io_gcs_filesystem-0.23.1-cp38-cp38-linux_aarch64.whl /tmp/tensorflow_io_gcs_filesystem-0.23.1-cp38-cp38-linux_aarch64.whl | ||
RUN python3 -m pip install --no-cache-dir /tmp/tensorflow_io_gcs_filesystem-0.23.1-cp38-cp38-linux_aarch64.whl && rm /tmp/tensorflow_io_gcs_filesystem-0.23.1-cp38-cp38-linux_aarch64.whl | ||
ADD tensorflow_io-0.23.1-cp38-cp38-linux_aarch64.whl /tmp/tensorflow_io-0.23.1-cp38-cp38-linux_aarch64.whl | ||
RUN python3 -m pip install --no-cache-dir /tmp/tensorflow_io-0.23.1-cp38-cp38-linux_aarch64.whl && rm /tmp/tensorflow_io-0.23.1-cp38-cp38-linux_aarch64.whl | ||
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# Install Tensorflow | ||
ADD tensorflow-2.7.0-cp38-none-linux_aarch64.whl /tmp/tensorflow-2.7.0-cp38-none-linux_aarch64.whl | ||
RUN python3 -m pip install --no-cache-dir /tmp/tensorflow-2.7.0-cp38-none-linux_aarch64.whl && rm /tmp/tensorflow-2.7.0-cp38-none-linux_aarch64.whl | ||
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# Some TF tools expect a "python" binary | ||
RUN ln -s $(which python3) /usr/local/bin/python | ||
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ADD https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/tools/dockerfiles/bashrc /etc/bash.bashrc | ||
RUN chmod a+rwx /etc/bash.bashrc |
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FROM arm32v7/ubuntu:20.04 as base | ||
ENV DEBIAN_FRONTEND=noninteractive | ||
# See http://bugs.python.org/issue19846 | ||
ENV LANG C.UTF-8 | ||
# https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/dockerfiles/dockerfiles | ||
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ARG DEBIAN_FRONTEND=noninteractive | ||
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# Install apt dependencies | ||
RUN apt-get update && apt-get install -y --no-install-recommends \ | ||
python3 \ | ||
python3-pip \ | ||
python3-dev \ | ||
build-essential \ | ||
protobuf-compiler \ | ||
wget \ | ||
curl \ | ||
git \ | ||
gpg-agent \ | ||
gnupg \ | ||
libgl1 \ | ||
libglib2.0-0 \ | ||
unzip \ | ||
libstdc++6 && \ | ||
apt-get clean && \ | ||
rm -rf /var/lib/apt/lists/* && \ | ||
ln -s $(which python3) /usr/local/bin/python | ||
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# Update pip/setuptools | ||
RUN python3 -m pip --no-cache-dir install --upgrade \ | ||
pip \ | ||
setuptools | ||
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# Install tensorflow python dependencies for which there are good packages. | ||
RUN apt-get update && apt-get install -y --no-install-recommends \ | ||
python3-h5py && \ | ||
apt-get clean && \ | ||
rm -rf /var/lib/apt/lists/* | ||
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# No good libclang wheel is available for armv7l which is required for tensorflow | ||
ADD libclang-12.0.0-py2.py3-none-linux_armv7l.whl /tmp/libclang-12.0.0-py2.py3-none-linux_armv7l.whl | ||
RUN python3 -m pip install --no-cache-dir /tmp/libclang-12.0.0-py2.py3-none-linux_armv7l.whl && rm /tmp/libclang-12.0.0-py2.py3-none-linux_armv7l.whl | ||
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# Install dependancies for Tensorflow | ||
ADD tensorflow_io_gcs_filesystem-0.23.1-cp38-cp38-linux_armv7l.whl /tmp/tensorflow_io_gcs_filesystem-0.23.1-cp38-cp38-linux_armv7l.whl | ||
RUN python3 -m pip install --no-cache-dir /tmp/tensorflow_io_gcs_filesystem-0.23.1-cp38-cp38-linux_armv7l.whl && rm /tmp/tensorflow_io_gcs_filesystem-0.23.1-cp38-cp38-linux_armv7l.whl | ||
ADD tensorflow_io-0.23.1-cp38-cp38-linux_armv7l.whl /tmp/tensorflow_io-0.23.1-cp38-cp38-linux_armv7l.whl | ||
RUN python3 -m pip install --no-cache-dir /tmp/tensorflow_io-0.23.1-cp38-cp38-linux_armv7l.whl && rm /tmp/tensorflow_io-0.23.1-cp38-cp38-linux_armv7l.whl | ||
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# Install Tensorflow | ||
ADD tensorflow-2.7.0-cp38-none-linux_armv7l.whl /tmp/tensorflow-2.7.0-cp38-none-linux_armv7l.whl | ||
RUN python3 -m pip install --no-cache-dir /tmp/tensorflow-2.7.0-cp38-none-linux_armv7l.whl && rm /tmp/tensorflow-2.7.0-cp38-none-linux_armv7l.whl | ||
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# Some TF tools expect a "python" binary | ||
RUN ln -s $(which python3) /usr/local/bin/python | ||
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ADD https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/tools/dockerfiles/bashrc /etc/bash.bashrc | ||
RUN chmod a+rwx /etc/bash.bashrc |
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# TENSORFLOW-ON-ARM | ||
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This is my attempt to build a recent Tensorflow wheel and Docker image compatible with ARM32 and ARM64 devices. | ||
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- Tensorflow v2.7.0 | ||
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## Compiling Tensorflow Wheel | ||
I checked out the Tensorflow source at version 2.7.0 and I had to edit the file `tensorflow/tools/ci_build/pi/build_raspberry_pi.sh` and insert on line 99 to add an ARMHF target. | ||
``` | ||
elif [[ $1 == "ARMHF" ]]; then | ||
PI_COPTS="--config=elinux_armhf | ||
--copt=-std=gnu11 | ||
--copt=-O3" | ||
WHEEL_ARCH=linux_armv7l | ||
``` | ||
I also removed the `--config=monolithic` option from the bazel build command around line 126. | ||
After that I was able to cross compile the `aarch64` and `armv7l` wheels with the commands: | ||
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``` | ||
$ tensorflow/tools/ci_build/ci_build.sh PI-PYTHON38 \ | ||
tensorflow/tools/ci_build/pi/build_raspberry_pi.sh AARCH64 | ||
$ tensorflow/tools/ci_build/ci_build.sh PI-PYTHON38 \ | ||
tensorflow/tools/ci_build/pi/build_raspberry_pi.sh ARMHF | ||
``` | ||
After running the command there was working python whl and library in the `output-artifacts` directory. | ||
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I renamed the armhf output wheel from `tensorflow-2.7.0-cp38-none-linux_armhf.whl` to `tensorflow-2.7.0-cp38-none-linux_armv7l.whl` to ensure it matched the hardware architecture and would be installed by python. | ||
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# Tensorflow IO | ||
Tensorflow IO is required in order to install the Tensorflow wheel. There seems to be a chicken-egg problem | ||
with creating a Tensorflow IO wheel. The Tensorflow Wheel won't install without TensorflowIO but TensorflowIO | ||
won't compile without Tensorflow installed. | ||
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I was able to work around this by installing just the python portion of Tensorflow IO. I had to actually | ||
run this on ARM devices to get Tensorflow IO to compile. (QEMU segfaulted) | ||
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``` | ||
$ git clone https://github.com/tensorflow/io.git | ||
$ cd io | ||
$ git checkout v0.23.1 | ||
$ python3 setup.py install # Install just the python code | ||
$ python3 -m pip install tensorflow-2.7.0-cp38-none-linux_<arch>.whl # Install tensorflow wheel | ||
``` | ||
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From there I compiled Tensorflow IO with | ||
``` | ||
$ export SETUPTOOLS_USE_DISTUTILS=stdlib # Needed to overcome some strange error with python deps | ||
# ./configure | ||
$ bazel build -s --verbose_failures --local_ram_resources=HOST_RAM*.4 --local_cpu_resources=2 //tensorflow_io/... //tensorflow_io_gcs_filesystem/... | ||
$ python3 setup.py bdist_wheel --data bazel-bin | ||
$ python3 setup.py --project tensorflow_io_gcs_filesystem bdist_wheel --data bazel-bin | ||
``` | ||
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These wheels are included in this repo as well. | ||
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## Docker Image | ||
The Dockerfiles for `aarch64` and `armv7l` are slightly different as each had packages the other architecture didn't. | ||
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I build them with docker buildx | ||
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``` | ||
docker run --rm --privileged multiarch/qemu-user-static --reset -p yes | ||
docker buildx build --push --platform linux/arm/v7 -f Dockerfile.armv7l docker.io/snowzach/tensorflow:2.7.0-armv7l . | ||
docker buildx build --push --platform linux/arm64/v8 --tag docker.io/snowzach/tensorflow:2.7.0-aarch64 -f Dockerfile.aarch64 . | ||
``` |