The pre-built package is ./https://github.com/wangkuiyi/pytorch-rpi.zip.

The steps to build it include:

1. Log in to an NVIDIA Drive PX2 computer.
2. Upgrade the system from Ubuntu 16.04 to Ubuntu 18.04 for a recent Python.
3. Install Clang with sudo apt-get install -y clang.
4. Set environment variables:

   export USE_CUDA=0
   export USE_QNNPACK=0
   export USE_PYTORCH_QNNPACK=0

5. Run ./build_libtorch.sh to build and pack the zip file.

1. Install the latest Raspberry Pi OS (32-bit).
2. Run sudo apt update && sudo apt upgrade.
3. Run git clone [email protected]:ljk53/pytorch-rpi && cd pytorch-rpi.
4. Run LIBTORCH_VARIANT=armv7l-cxx11-abi-shared-without-deps ./build_libtorch.sh.

1. Install the latest 64-bit Ubuntu 20.04 for Raspberry Pi.
2. Run sudo apt update && sudo apt upgrade.
3. Run git clone [email protected]:ljk53/pytorch-rpi && cd pytorch-rpi.
4. Run MAX_JOBS=2 LIBTORCH_VARIANT=aarch64-cxx11-abi-shared-without-deps ./build_libtorch.sh. Note: set the max number of concurrent build jobs to 2 to avoid running out of the RAM.