I'm trying to build a C++ program with libtorch on a Raspberry PI. The program is working on Ubuntu, but I've got the following error at build on Raspberry :
error: use of deleted function ‘void torch::jit::script::Module::operator=(const torch::jit::script::Module&)’
In file included from /usr/include/torch/csrc/jit/ir.h:18,
from /usr/include/torch/csrc/jit/tracer.h:9,
from /usr/include/torch/csrc/autograd/generated/variable_factories.h:8,
from /usr/include/torch/csrc/api/include/torch/types.h:7,
from /usr/include/torch/script.h:3,
from /tmp/tmp.k6618dczxt/src/../include/suvoNet.h:26,
from /tmp/tmp.k6618dczxt/src/../include/classifier.h:17,
from /tmp/tmp.k6618dczxt/src/classifier.cpp:11:
/usr/include/torch/csrc/jit/script/module.h:319:3: note: declared here
TH_DISALLOW_COPY_AND_ASSIGN(Module);
Here is the code that crashes :
MyClass::MyClass() {
try {
// Deserialize the ScriptModule from a file using torch::jit::load().
network = torch::jit::load(MODEL_FILE);
}
catch (const c10::Error& e) {
std::cerr << "Error loading the model\n";
exit(-1);
}
}
With network
declared private torch::jit::script::Module network
I build libtorch for Raspberry (ARM) using pyTorch from github in version '1.0.0a0+8322165'
TLDR : Compile libtorch in 1.6.0 and that works fine.
First of all, if you have a Raspberry PI 3 or lower, you need to increase the SWAP, since the build is a RAM eater.
If you have a RBPi 4 or higher with more than 3GB of RAM, skip this step.
Modify the file /etc/dphys-swapfile
:
CONF_SWAPFILE=2048M
Then call the following command to update changes.
sudo dphys-swapfile setup
Install the following packages:
sudo apt install build-essential make cmake git python3-pip libatlas-base-dev
Libtorch needs CMake>=3.15
to be built properly, check cmake version with
cmake --version``
If it's lower than 3.15, follow the following commands to build a newer version and remove the previous one:
wget https://github.com/Kitware/CMake/releases/download/v3.18.0-rc1/cmake-3.18.0-rc1.tar.gz
tar -xzf cmake-3.18.0-rc1.tar.gz
cd cmake<version>
mkdir build
cd build
cmake ..
make
sudo make install
sudo apt remove cmake
sudo ln -s /usr/local/bin/cmake /usr/bin/cmake
sudo ldconfig
Don't forget to increase the SWAP to 2048M if you don't have 3GB or RAM.
Getting all needed libraries:
sudo apt-get update
sudo apt-get install build-essential tk-dev libncurses5-dev libncursesw5-dev libreadline6-dev libdb5.3-dev libgdbm-dev libsqlite3-dev libssl-dev libbz2-dev libexpat1-dev liblzma-dev zlib1g-dev
Getting PyTorch sources:
git clone --recursive https://github.com/pytorch/pytorch --branch=release/1.6
cd pytorch
Init all the submodules :
git submodule update --init --recursive
git submodule update --remote third_party/protobuf # To prevent a bug I had
Getting all needed libraries:
sudo apt-get update
sudo apt-get install build-essential tk-dev libncurses5-dev libncursesw5-dev libreadline6-dev libdb5.3-dev libgdbm-dev libsqlite3-dev libssl-dev libbz2-dev libexpat1-dev liblzma-dev zlib1g-dev
Getting PyTorch sources:
git clone --recursive https://github.com/pytorch/pytorch --branch=release/1.6
cd pytorch
Setting up environment variables for the build.
Add the following lines to the ~/.bashrc
file.
export NO_CUDA=1
export NO_DISTRIBUTED=1
export NO_MKLDNN=1
export NO_NNPACK=1
export NO_QNNPACK=1
Log in as root, and use the .bashrc file to setup the environment variables
sudo su
source /home/<user>/.bashrc
Install python dependencies
pip3 install setuptools pyyaml numpy
Build and install PyTorch, time to grab a :coffee:, it make take a while.
Don't forget the
-E
that forces the environment variables to be used.
sudo -E python3 setup.py install
Check the installation worked:
cd
python3
import torch
torch.__version__
In your CMakeLists.txt
:
cmake_minimum_required(VERSION 2.6)
project(projectName)
set(CMAKE_PREFIX_PATH "/home/pi/pytorch/torch") # Adding the directory where torch as been installed
set(CMAKE_CXX_STANDARD 14) # C14 required to compile Torch
set(CMAKE_CXX_STANDARD_REQUIRED TRUE)
add_compile_definitions(_GLIBCXX_USE_CXX11_ABI=0) # Torch is compiled with CXX11_ABI, so your program needs to be also, or you may have conflicts in some libraries (such as GTest for example)
# Specifying we are using pthread for UNIX systems.
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${TORCH_CXX_FLAGS} -pthread -Wall")
find_package(Torch REQUIRED)
if(NOT Torch_FOUND)
message(FATAL_ERROR "Pytorch Not Found!")
endif(NOT Torch_FOUND)
message(STATUS "Pytorch status :")
message(STATUS " libraries: ${TORCH_LIBRARIES}")
message(STATUS " Torch Flags: ${TORCH_CXX_FLAGS}")
# Program executable
add_executable(projectName <sources>)
target_link_libraries(projectName PRIVATE pthread dl util ${TORCH_LIBRARIES})