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---
date: "2019-04-06T10:22:40Z"
title: TensorFlow on a Raspberry Pi Zero is a Bad Idea
---
A recent question from the [Something Awful Forums][saf]:
Can I run TensorFlow on a Raspberry Pi Zero?
The answer? You can, but it's a bad idea.
The [Raspberry Pi Zero][pizerow] is a single core [ARMv6][], with no
[NEON][]. Which means it's slow:
{{< table "tensorflow_on_pi" "times" >}}
**Details**
Below are the steps I took to install [TensorFlow][] on a
[Raspberry Pi Zero W][pizerow]. Note: you **have** to use
[Virtualenv][] to install [TensorFlow][] in [Raspbian][]. If you try
to install [TensorFlow][] directly with [Pip][], the installation will
bomb out with an error.
Raspberry Pi Installation Steps:
```
# install system pip, numpy dependencies, and virtualenv
sudo apt-get install python3-pip python3-dev libatlas-base-dev virtualenv
# at this point i tried to install tensorflow directly via pip, which does NOT work
# sudo pip3 install --upgrade tensorflow
# created virtualenv environment instead
virtualenv --system-site-packages -p python3 ./venv
# activate virtual environment "venv"
# note: after this command your shell prompt will be prefixed with "(venv) "
source ./venv/bin/activate
# install tensorflow (i also installed keras here, because I use it for other stuff)
# note: this step takes a comically long time (>1 hour)
pip install tensorflow keras
```
Test Results ([Raspberry Pi Zero W][pizerow]):
```
(venv) pabs@zero:~> time python -c "import tensorflow as tf;
tf.enable_eager_execution();
print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
...
tf.Tensor(1533.9042, shape=(), dtype=float32)
real 0m40.802s
user 0m38.283s
sys 0m1.150s
```
Test Results ([Raspberry Pi 3 Model B+][pi3bp]):
```
(venv) pabs@peach:~> time python -c "import tensorflow as tf;
tf.enable_eager_execution();
print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
...
tf.Tensor(800.62, shape=(), dtype=float32)
real 0m9.408s
user 0m9.227s
sys 0m0.360s
```
Test Results ([AMD ThreadRipper 1950X][cpu], 8 core [KVM][] VM, [Docker image][tf-img]):
```
pabs@hive:~> time docker run --rm -it tensorflow/tensorflow:latest-py3 python3 -c \
"import tensorflow as tf; tf.enable_eager_execution();
print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
...
tf.Tensor(-173.73222, shape=(), dtype=float32)
real 0m1.745s
user 0m0.032s
sys 0m0.016s
```
[pip]: https://pip.pypa.io/en/stable/installing/ "Python package manager"
[virtualenv]: https://virtualenv.pypa.io/en/stable/ "Tool to create isolated Python environments"
[pizerow]: https://www.raspberrypi.org/products/raspberry-pi-zero-w/ "Raspberry Pi Zero W"
[pi3bp]: https://www.raspberrypi.org/products/raspberry-pi-3-model-b-plus/ "Raspberry Pi 3 Model B+"
[cpu]: https://www.amd.com/en/products/cpu/amd-ryzen-threadripper-1950x "AMD Ryzen ThreadRipper 1950x"
[saf]: https://forums.somethingawful.com/ "Something Awful Forums"
[kvm]: https://www.linux-kvm.org/ "Linux Kernel Virtual Machine"
[docker]: https://www.docker.com/ "Docker"
[tensorflow]: https://www.tensorflow.org/ "TensorFlow machine learning framework"
[tf-img]: https://hub.docker.com/r/tensorflow/tensorflow/ "TensorFlow Docker image"
[tf-pip]: https://www.tensorflow.org/install/pip "Install TensorFlow using Virtualenv and Pip"
[simd]: https://en.wikipedia.org/wiki/SIMD "Single Instruction, Multiple Data"
[raspbian]: https://www.raspberrypi.org/downloads/raspbian/ "Raspbian"
[armv6]: https://en.wikipedia.org/wiki/ARM_architecture
[neon]: https://en.wikipedia.org/wiki/ARM_architecture#Advanced_SIMD_(NEON) "ARM SIMD instruction set"
|
