#error 1
error while loading shared libraries: libopenblas.so.0: cannot open shared object
sol : sudo apt-get install libopenblas-dev
#pytorch 1.14 ( jetpack 5.1.2 )
whl download
https://developer.download.nvidia.com/compute/redist/jp/v51/pytorch/
더 낮은 버전
https://forums.developer.nvidia.com/t/pytorch-for-jetson/72048
#onnxruntime-gpu for jetson ( onnxruntime-gpu 1.15.1 )
https://elinux.org/Jetson_Zoo#ONNX_Runtime
# error 2 : version `GLIBCXX_3.4.29' not found
sol
sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-4.9
sudo apt-get upgrade libstdc++6
# cmake version upgrade
# purge existing
sudo apt-get purge cmake -y
# install prebuilt binary
export CMAKE_VER=3.23.1
export ARCH=aarch64
wget https://github.com/Kitware/CMake/releases/download/v${CMAKE_VER}/cmake-${CMAKE_VER}-linux-${ARCH}.sh
chmod +x cmake-${CMAKE_VER}-linux-${ARCH}.sh
sudo ./cmake-${CMAKE_VER}-linux-${ARCH}.sh --prefix=/usr --skip-license
cmake --version
# mmdeploy build 명령어
cmake .. DMMDEPLOY_TARGET_DEVICES='cuda;cpu' -DMMDEPLOY_TARGET_BACKENDS="trt;ort" DONNXRUNTIME_DIR=${ONNXRUNTIME_DIR} -DMMDEPLOY_BUILD_SDK=ON -DMMDEPLOY_BUILD_SDK_PYTHON_API=ON -DMMDEPLOY_BUILD_EXAMPLES=ON -DMMDEPLOY_CODEBASES=all -Dpplcv_DIR=${PPLCV_DIR}/cuda-build/install/lib/cmake/ppl
# build 시 onnxruntime_dir 관련 에러가 날때
https://github.com/microsoft/onnxruntime/releases/tag/v1.17.0
Release ONNX Runtime v1.17.0 · microsoft/onnxruntime
Announcements In the next release, we will totally drop support for Windows ARM32. General Added support for new ONNX 1.15 opsets: IsInf-20, IsNaN-20, DFT-20, ReduceMax-20, ReduceMin-20, AffineGri...
github.com
1. 여기서 tar 파일 받음 ( 1.15.1 으로 했음 ) -> 1.16 이상부터는 api가 바뀌어서 build가 되지 않음
2.
cd tar파일 해제 경로
export ONNXRUNTIME_DIR=$(pwd)
export LD_LIBRARY_PATH=$ONNXRUNTIME_DIR/lib:$LD_LIBRARY_PATH
# onnx custom op
path = "./site-packages/mmdeploy/lib/libmmdeploy_onnxruntime_ops.so"
model_path = "end2end-mask2former.onnx"
session_options = ort.SessionOptions()
session_options.register_custom_ops_library(path)
ort_session = ort.InferenceSession(model_path,session_options)`