Edit 04/11/2021: This gist is quite old now. The current version of PyTorch is 1.8.1, which is miles ahead of version 1.0.1 that I was trying to install when I wrote this gist. Therefore some of the instructions may not apply, or some dependencies may have changed or bugs taken care of. I do not currently have a Raspberry Pi to verify unfortunately. Please proceed with caution. Further, there are may others who have shared their fixes, and direct links to their wheels down in the comments. Cheers !
sudo apt install libopenblas-dev libblas-dev m4 cmake cython python3-yaml libatlas-base-dev
- Stop the swap :
sudo dphys-swapfile swapoff
- Modify the size of the swap by editing as
root
the following file :/etc/dphys-swapfile
. Modify the valiableCONF_SWAPSIZE
and change its value toCONF_SWAPSIZE=2048
- Run following from command prompt:
dphys-swapfile setup
to update the changes. - Start the swap back again:
sudo dphys-swapfile swapon
- Check if the changes have taken place:
free -m
For raspberry pi 4 there may be an issue with the Gcc and G++ version. Install an older version ans use it
apt-get install gcc-4.9 g++-4.9
export CC=gcc-4.9
export CXX=g++-4.9
export USE_CUDA=0
export USE_MKLDNN=0
export USE_NNPACK=0
export USE_QNNPACK=0
export USE_NUMPY=1
export USE_DISTRIBUTED=0
export NO_CUDA=1
export NO_DISTRIBUTED=1
export NO_MKLDNN=1
export NO_NNPACK=1
export NO_QNNPACK=1
export ONNX_ML=1 ## this is extremely important otherwise you will run into onnx_pb.h error.
# other workaround is edit the onnx_pb.h file and add #define ONNX_ML 1 inside it to skip
git clone --recursive https://github.com/pytorch/pytorch
cd pytorch
- Optionally if you want to install a specific branch e.g. I want to install v1.0.1 because the torchjit is not broken in that branch:
git checkout v1.0.1
sudo -E python3 setup.py build
sudo -E python3 setup.py install
Life Hack : Always build a wheel and keep it somewhere safe because you have already build from source.
sudo -E python3 setup.py bdist_wheel
The .whl
file will be in pytorch/dist
folder.
There can be multiple errors. The most irritating one is `fatal error: onnx/onnx.pb.h: No such file or directory
compilation terminated.This is a [bug](https://github.com/onnx/onnx/issues/1947) which is recent. That is why it is imperative to set the flag
ONNX_ML=, this bypasses the
onnx_pb.hfile search. The other hard coded way would be to manually edit the file
onnx_pb.hand set
# DEFINE ONNX_ML 1` at the beginning. This is a hack, other features might break because of this.
If you face some procol buffer problem, do this git submodule update --remote third_party/protobuf
(pytorch/pytorch#22564 (comment))
cd
python3
>>> import torch
>>> import numpy as np
>>> a = torch.from_numpy(np.random.randn(1, 100))
>>> print(a)
v1.7.1