How to install PyTorch v0.3.1 on RaspberryPi 3B
Important I'd recommend you use at least a 16GB sd card. I tried it with an 8GB card and it baaaaarely fits. I had to uninstall a lot of packages and regularly clean up.
Go to https://www.raspberrypi.org/downloads/raspbian/ and download the Raspbian Stretch image (either one).
Use Etcher (from https://etcher.io/) to "burn" the image onto the SD card.
Before ejecting the SD card: if you want to use the Raspberry Pi (RPi from here on out) headlessly (without screen plugged in), you can just create an empty text file with the filename
ssh on the boot volume of the SD card. This will turn on the ssh server and delete the file on next boot.
Login to your RPi with
# password is raspberry ssh RASPBERRYPI.LOCAL -l pi
sudo apt-get update && sudo apt-get upgrade
Set up SWAP and dependencies
Create a SWAP file of size 2GB
sudo dd if=/dev/zero of=/swap1 bs=1M count=2048
Make this empty file into a swap-compatible file
sudo mkswap /swap1
Then disable the old swap space and enable the new one
sudo nano /etc/fstab
This above command will open a text editor on your
You may already have a swap file. If this is the case, your fstab will have a line that looks like this:
/swap0 swap swap
If you have an existing SWAP file
In this line, please change the
If you don't have an existing SWAP file
Add the following line at the end of the
/swap1 swap swap
In both cases
Then save the file with CTRL+o and ENTER. Close the editor with CTRL+x.
Now your system knows about the new swap space, and it will change it upon reboot, but if you want to use it right now, without reboot, you can manually turn off and empty the old swap space and enable the new one:
# ONLY USE THIS IF YOU HAVE AN EXISTING SWAP FILE: sudo swapoff /swap0 sudo swapon /swap1
Install required packages
sudo apt-get install libopenblas-dev cython libatlas-dev \ m4 libblas-dev python3-dev cmake python3-yaml
Get the PyTorch code and compile
Export compilation flags
export NO_CUDA=1 # this will disable CUDA components of PyTorch, # because the little RaspberriPi doesn't have a # GPU that supports CUDA export NO_DISTRIBUTED=1 # disable distributed computing... # unless you want to glue like 100 RPis together # and make a cluster or something
Move into a download directory (let's say
~/Downloads) and clone the pytorch repo:
cd ~/Downloads git clone --recursive https://github.com/pytorch/pytorch cd pytorch
Start the build process and grab a coffee - this took me about 3 hours.
python3 setup.py build
Once this finished (make sure there are no error of course) install the whole shebang
sudo -E python3 setup.py install # the -E is important here to preserve # the environmental variables (NO_DISTRIBUTED and NO_CUDA)
Et voila, this should have worked without any errors. To test the installation, please change into a different directory first
cd python3 >>> import torch >>> x = torch.rand(5, 3) >>> print(x)