Originally published on June 19, 2020 at https://bruno.verachten.fr/2020/06/19/installing-tensorflow-on-the-orangepi-4b/
This quick howto is heavily based on Orange Pi’s documentation. To this day, Orange Pi recommended versions of TensorFlow and Python are quite old:
TensorFlow：1.14.0 Python environment：python2.7
Installation of Python environment and dependencies
sudo apt-get install python-pip python-dev libatlas-base-dev
[sudo] password for poddingue:
Reading package lists... Done
Building dependency tree
Reading state information... Done
python-dev is already the newest version (2.7.16-1).
The following additional packages will be installed:
libatlas3-base python-pip-whl
Suggested packages:
libatlas-doc liblapack-doc
Recommended packages:
python-all-dev python-setuptools python-wheel
The following NEW packages will be installed:
libatlas-base-dev libatlas3-base python-pip python-pip-whl
Need to get 7,168 kB of archives.
After this operation, 40.1 MB of additional disk space will be used.
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Get:1 http://debian.proxad.net/debian buster/main arm64 libatlas3-base arm64 3.10.3-8 [2,409 kB]
Get:2 http://debian.proxad.net/debian buster/main arm64 libatlas-base-dev arm64 3.10.3-8 [2,954 kB]
Get:3 http://debian.proxad.net/debian buster/main arm64 python-pip-whl all 18.1-5 [1,591 kB]
Get:4 http://debian.proxad.net/debian buster/main arm64 python-pip all 18.1-5 [215 kB]
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Setting up libatlas3-base:arm64 (3.10.3-8) ...
update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/libblas.so.3 to provide /usr/lib/aarch64-linux-gnu/libblas.so.3 (libblas.so.3-aarch64-linux-gnu) in auto mode
update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/liblapack.so.3 to provide /usr/lib/aarch64-linux-gnu/liblapack.so.3 (liblapack.so.3-aarch64-linux-gnu) in auto mode
Setting up libatlas-base-dev:arm64 (3.10.3-8) ...
update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/libblas.so to provide /usr/lib/aarch64-linux-gnu/libblas.so (libblas.so-aarch64-linux-gnu) in auto mode
update-alternatives: using /usr/lib/aarch64-linux-gnu/atlas/liblapack.so to provide /usr/lib/aarch64-linux-gnu/liblapack.so (liblapack.so-aarch64-linux-gnu) in auto mode
Setting up python-pip-whl (18.1-5) ...
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Install TensorFlow
There are several ways to install TensorFlow, but here we will install if from a downloaded binary. Download the PIP installation package for TensorFlow from the following page: https://github.com/lhelontra/tensorflow-on-arm/releases/tag/v1.14.0 .
This should give something like:
curl "https://github.com/lhelontra/tensorflow-on-arm/releases/download/v1.14.0/tensorflow-1.14.0-cp27-none-linux_aarch64.whl" --output tensorflow-1.14.0-cp27-none-linux_aarch64.whl
Now, let’s use PIP to install TensorFlow.
pip install tensorflow-1.14.0-cp27-none-linux_aarch64.whl
Processing ./tensorflow-1.14.0-cp27-none-linux_aarch64.whl
Collecting keras-preprocessing>=1.0.5 (from tensorflow==1.14.0)
Downloading https://files.pythonhosted.org/packages/79/4c/7c3275a01e12ef9368a892926ab932b33bb13d55794881e3573482b378a7/Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42kB)
100% |████████████████████████████████| 51kB 2.5MB/s
Collecting enum34>=1.1.6 (from tensorflow==1.14.0)
Downloading https://files.pythonhosted.org/packages/6f/2c/a9386903ece2ea85e9807e0e062174dc26fdce8b05f216d00491be29fad5/enum34-1.1.10-py2-none-any.whl
Collecting wheel (from tensorflow==1.14.0)
Downloading https://files.pythonhosted.org/packages/8c/23/848298cccf8e40f5bbb59009b32848a4c38f4e7f3364297ab3c3e2e2cd14/wheel-0.34.2-py2.py3-none-any.whl
Collecting wrapt>=1.11.1 (from tensorflow==1.14.0)
Downloading https://files.pythonhosted.org/packages/82/f7/e43cefbe88c5fd371f4cf0cf5eb3feccd07515af9fd6cf7dbf1d1793a797/wrapt-1.12.1.tar.gz
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named setuptools
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-install-Dd0045/wrapt/
Of course…
sudo apt-get install -y python-setuptools
[...]
error: invalid command 'bdist_wheel'
Damn!
pip install wheel
And
export PATH=$PATH:/home/poddingue/.local/bin
in `~/.bashrc`, because of
pip install wheel
Collecting wheel
Using cached https://files.pythonhosted.org/packages/8c/23/848298cccf8e40f5bbb59009b32848a4c38f4e7f3364297ab3c3e2e2cd14/wheel-0.34.2-py2.py3-none-any.whl
Installing collected packages: wheel
The script wheel is installed in '/home/poddingue/.local/bin' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
Successfully installed wheel-0.34.2
Let’s issue once more `
` bash
pip install tensorflow-1.14.0-cp27-none-linux_aarch64.whl
error: libhdf5.so: cannot open shared object file: No such file or directory
`
Bad luck.
bash
Command "/usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-install-irkqLB/h5py/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-record-N9oIr_/install-record.txt --single-version-externally-managed --compile --user --prefix=" failed with error code 1 in /tmp/pip-install-irkqLB/h5py/
Something must be missing…
bash
Command "/usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-install-irkqLB/h5py/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-record-N9oIr_/install-record.txt --single-version-externally-managed --compile --user --prefix=" failed with error code 1 in /tmp/pip-install-irkqLB/h5py/
Not better… I think the machine is trying to tell me something… A missing library perhaps?
bash
sudo apt install python-h5py
pip install tensorflow-1.14.0-cp27-none-linux_aarch64.whl
[...]
Successfully installed astor-0.8.1 backports.weakref-1.0.post1 funcsigs-1.0.2 gast-0.3.3 google-pasta-0.2.0 keras-applications-1.0.8 mock-3.0.5 tensorflow-1.14.0 tensorflow-estimator-1.14.0 termcolor-1.1.0
rm tensorflow-1.14.0-cp27-none-linux_aarch64.whl
It worked!
Now, let’s edit a test.py file:
` python
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
sess = tf.compat.v1.Session()
print(sess.run(hello))
`
bash
python test.py
Hello, TensorFlow!
We all have to start somewhere, don’t we?
TL;DR
bash
sudo apt-get install -y python-setuptools python-h5py python-pip python-dev libatlas-base-dev
curl -L "https://github.com/lhelontra/tensorflow-on-arm/releases/download/v1.14.0/tensorflow-1.14.0-cp27-none-linux_aarch64.whl" --output tensorflow-1.14.0-cp27-none-linux_aarch64.whll
pip install wheel
pip install tensorflow-1.14.0-cp27-none-linux_aarch64.whl
cat >> ~/.bashrc
export PATH=$PATH:/home/poddingue/.local/bin
CTRL+D
source ~/.bashrc
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