Refer to:
https://github.com/pytorch/pytorch#get-the-pytorch-source
https://github.com/pytorch/pytorch/blob/master/docs/libtorch.rst
Compile libtorch c++ api from source - #2 by WMF1997 - C++ - PyTorch Forums
libtorch を Android でビルドするメモ - Qiita
https://github.com/ljk53/pytorch-android-cpp-demo
https://github.com/dpilger26/NumCpp/tree/master
#install gcc compiler
sudo apt install build-essential
#install python3 version >= 3.7 need, here is a lot works.
https://fatalfeel.blogspot.com/2019/12/ai-with-cuda-install-step-and-yolov3-in.html
#install cmake 3.20.5
wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | sudo tee /etc/apt/trusted.gpg.d/kitware.gpg >/dev/null
sudo apt-add-repository 'deb https://apt.kitware.com/ubuntu/ xenial main'
sudo apt update
apt-key adv --keyserver keyserver.ubuntu.com --recv-keys DE19EB17684BA42D
sudo apt install cmake cmake-qt-gui cmake-curses-gui
sudo apt install ninja-build
#download torch source
git clone --recursive https://github.com/pytorch/pytorch.git
cd pytorch
git checkout v1.7.1
git submodule sync
git submodule update --init --recursive
CPU_NUM=$(grep processor /proc/cpuinfo | awk '{field=$NF};END{print field+1}')
echo "CPU number = "$CPU_NUM
=========Ubuntu16.04 x86_64=========
(a)
build opencv x64 version for libtorch, opencv can help convert image to tensor easier
https://fatalfeel.blogspot.com/2013/12/opencv-and-dlib-training.html
(b)
cd pytorch
mkdir build
cd build
#OpenCV_DIR can get OpenCVConfig.cmake
cmake .. -G"Unix Makefiles" -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/opt/libtorch/x64 -DPYTHON_EXECUTABLE=$(which python3) -DBUILDING_WITH_TORCH_LIBS=ON -DATEN_THREADING=NATIVE -DUSE_OPENCV=ON -DOpenCV_DIR=/opt/opencv/share/OpenCV -DBUILD_EXAMPLES=ON -DUSE_CUDA=ON
cmake --build . --target install -- -j$CPU_NUM VERBOSE=1
=========Android=========
https://developer.android.com/ndk/downloads/older_releases
download and extract Android NDK 19c to /opt
#python link to python3
ln -sf /usr/bin/python3.7 /usr/bin/python
pip3 install pyyaml
cd pytorch
#release version
gedit ./scripts/build_android.sh
-DCMAKE_BUILD_TYPE=Release
#change to
-DCMAKE_BUILD_TYPE=RelWithDebInfo
#debug version
gedit ./scripts/build_android.sh
-DCMAKE_BUILD_TYPE=Release
#change to
-DCMAKE_BUILD_TYPE=Debug
export ANDROID_NDK=/opt/android-ndk
export ANDROID_ABI=arm64-v8a
export ANDROID_NATIVE_API_LEVEL=28
export ANDROID_DEBUG_SYMBOLS=1
export VERBOSE=1
./scripts/build_android.sh
=========Numpy C++=========
add-apt-repository ppa:mhier/libboost-latest
apt update
apt install libboost1.68-dev
git clone https://github.com/dpilger26/NumCpp.git
cd $HOME/NumCpp/install
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=/opt/numcpp ..
make && make install
(when use it need CXXFLAGS += -std=c++14)
Example libtorch and numpy in eclipse:
http://www.mediafire.com/file/zr1txqkqzl064i9/openai.tar.gz
=========================aarch64-linux-gnu-gcc=========================
refer to:
a. dependencies prebuilt
https://github.com/t-kuha/mpsoc-library/wiki/How-to-build-libtorch-&-torchvision
b. dependencies manual
https://github.com/t-kuha/mpsoc-library/wiki/How-to-build-Caffe-%26-libtorch-dependencies
c. cmake 3.20.5
https://fatalfeel.blogspot.com/2013/12/build-nrf9160dk-projects-with-zephyr-os.html
d. python 3.7.9
https://fatalfeel.blogspot.com/2019/12/ai-with-cuda-install-step-and-yolov3-in.html
//libtorch dependency prebuilt in git//
1.
git clone --recursive https://github.com/pytorch/pytorch
cd pytorch
git checkout v1.7.1
git submodule sync
git submodule update --init --recursive
export LIBTORCH_ROOT=$(pwd)
2.
./scripts/build_host_protoc.sh
3.
cd third_party/sleef
mkdir _host
cd _host
cmake .. -G"Unix Makefiles" -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=_install -DBUILD_TESTS=OFF
cmake --build . --target install -- -j$CPU_NUM VERBOSE=1
4. (if use manual make libs, skip this)
cd ../..
git clone -b 2019.2 https://github.com/t-kuha/mpsoc-library.git
export DEPEND_DIR=$(pwd)/mpsoc-library
5.
cd $LIBTORCH_ROOT
gedit ./toolchain.make
#add
set( CMAKE_SYSTEM_NAME Linux )
set( CMAKE_SYSTEM_PROCESSOR aarch64 )
set( CMAKE_C_COMPILER /opt/ivot/aarch64-ca53-linux-gnueabihf-8.4/bin/aarch64-ca53-linux-gnu-gcc )
set( CMAKE_CXX_COMPILER /opt/ivot/aarch64-ca53-linux-gnueabihf-8.4/bin/aarch64-ca53-linux-gnu-g++ )
#save & exit
6.
export PATH=$PATH:/opt/ivot/aarch64-ca53-linux-gnueabihf-8.4/bin
export LD_LIBRARY_PATH=/opt/ivot/aarch64-ca53-linux-gnueabihf-8.4/lib
CPU_NUM=$(grep processor /proc/cpuinfo | awk '{field=$NF};END{print field+1}')
echo "CPU number = "$CPU_NUM
7. (option can skip, if cmake error)
when
CMake Error at cmake/Codegen.cmake:163 (message):
cd $LIBTORCH_ROOT
gedit ./cmake/Codegen.cmake
set(GEN_COMMAND
"${PYTHON_EXECUTABLE}" ${CMAKE_CURRENT_LIST_DIR}/../aten/src/ATen/gen.py
#to
find_package (Python COMPONENTS Interpreter)
set(GEN_COMMAND
"${Python_EXECUTABLE}" ${CMAKE_CURRENT_LIST_DIR}/../aten/src/ATen/gen.py
8.
cd $LIBTORCH_ROOT
gedit ./cmake/TorchConfig.cmake.in
~comment
###if("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
### set(TORCH_CXX_FLAGS "-
_GLIBCXX_USE_CXX11_ABI=@GLIBCXX_USE_CXX11_ABI@")
###endif()
mkdir _mpsoc
cd _mpsoc
cmake ${LIBTORCH_ROOT} -G"Unix Makefiles" \
-DCMAKE_INSTALL_PREFIX=/opt/libtorch/arm64 \
-DCMAKE_BUILD_TYPE=Release \
-DCAFFE2_CUSTOM_PROTOC_EXECUTABLE=${LIBTORCH_ROOT}/build_host_protoc/bin/protoc \
-DCMAKE_TOOLCHAIN_FILE=toolchain.make \
-DCMAKE_PREFIX_PATH=${DEPEND_DIR}/dl-framework/caffe-dependency \
-DPYTHON_EXECUTABLE=$(which python3) \
-C${DEPEND_DIR}/dl-framework/libtorch/TryRunResults.cmake \
-DBUILDING_WITH_TORCH_LIBS=ON \
-DBUILD_BINARY=ON \
-DBUILD_CAFFE2_MOBILE=ON \
-DBUILD_CAFFE2_OPS=ON \
-DBUILD_CUSTOM_PROTOBUF=ON \
-DBUILD_DFT=OFF \
-DBUILD_DOCS=OFF \
-DBUILD_GMOCK=ON \
-DBUILD_GNUABI_LIBS=OFF \
-DBUILD_LIBM=ON \
-DBUILD_ONNX_PYTHON=OFF \
-DBUILD_PYTHON=OFF \
-DBUILD_QUAD=OFF \
-DBUILD_SHARED_LIBS=ON \
-DBUILD_TEST=ON \
-DBUILD_TESTS=ON \
-DUSE_ASAN=OFF \
-DUSE_CUDA=OFF \
-DUSE_DISTRIBUTED=OFF \
-DUSE_FBGEMM=ON \
-DUSE_FFMPEG=ON \
-DUSE_GFLAGS=ON \
-DUSE_GLOG=ON \
-DUSE_GLOO=OFF \
-DUSE_LEVELDB=ON \
-DUSE_LITE_PROTO=OFF \
-DUSE_LMDB=ON \
-DUSE_METAL=OFF \
-DUSE_MKLDNN=OFF \
-DUSE_MPI=OFF \
-DUSE_NATIVE_ARCH=OFF \
-DUSE_NNAPI=OFF \
-DUSE_NNPACK=ON \
-DUSE_NUMA=OFF \
-DUSE_NUMPY=ON \
-DUSE_OBSERVERS=OFF \
-DUSE_OPENCL=OFF \
-DUSE_OPENCV=ON \
-DUSE_OPENMP=OFF \
-DUSE_PROF=OFF \
-DUSE_PYTORCH_QNNPACK=OFF \
-DUSE_QNNPACK=ON \
-DUSE_REDIS=OFF \
-DUSE_ROCKSDB=ON \
-DUSE_ROCM=OFF \
-DUSE_SNPE=OFF \
-DUSE_SYSTEM_EIGEN_INSTALL=OFF \
-DUSE_TBB=OFF \
-DUSE_TENSORRT=OFF \
-DUSE_ZMQ=ON \
-DUSE_ZSTD=OFF \
-DHAVE_STD_REGEX=0 \
-DHAVE_POSIX_REGEX=0 \
-DHAVE_STEADY_CLOCK=0 \
-DATEN_THREADING=NATIVE \
-DBLAS=OpenBLAS \
-DCMAKE_CROSSCOMPILING=ON \
-DNATIVE_BUILD_DIR=${LIBTORCH_ROOT}/third_party/sleef/_host/ \
-DCMAKE_CXX_FLAGS="-L${DEPEND_DIR}/dl-framework/caffe-dependency/lib -llmdb -lleveldb -lsnappy -lopencv_core -lopencv_highgui -lopencv_imgcodecs -lopencv_imgproc -lopencv_video -lopencv_videoio -lzmq -lrocksdb"
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
/libtorch manual make libs///
1.
wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | sudo tee /etc/apt/trusted.gpg.d/kitware.gpg >/dev/null
sudo apt-add-repository 'deb https://apt.kitware.com/ubuntu/ xenial main'
sudo apt update
apt-key adv --keyserver keyserver.ubuntu.com --recv-keys DE19EB17684BA42D
sudo apt install cmake cmake-qt-gui cmake-curses-gui
2.
gedit ./toolchain.make
set( CMAKE_SYSTEM_NAME Linux )
set( CMAKE_SYSTEM_PROCESSOR aarch64 )
set( CMAKE_C_COMPILER /opt/ivot/aarch64-ca53-linux-gnueabihf-8.4/bin/aarch64-ca53-linux-gnu-gcc )
set( CMAKE_CXX_COMPILER /opt/ivot/aarch64-ca53-linux-gnueabihf-8.4/bin/aarch64-ca53-linux-gnu-g++ )
~~~save and copy to each dependency source~~~
3.
mkdir -p /opt/torch_dependency/arm64
cp ./TryRunResults.cmake /opt/torch_dependency/arm64
4.
export PATH=$PATH:/opt/ivot/aarch64-ca53-linux-gnueabihf-8.4/bin
export LD_LIBRARY_PATH=/opt/ivot/aarch64-ca53-linux-gnueabihf-8.4/lib
CPU_NUM=$(grep processor /proc/cpuinfo | awk '{field=$NF};END{print field+1}')
echo "CPU number = "$CPU_NUM
5.
download bboost_1_68_0.tar.gz
tar -xvf ./boost_1_68_0.tar.gz
cd boost_1_68_0
./bootstrap.sh
gedit ./project-config.jam
using gcc ;
~change to
using gcc : arm64 : aarch64-ca53-linux-gnu-g++ ;
using python : 2.7 : /usr ;
~change to
using python : 3.7 : /usr ;
./bjam install toolset=gcc-arm64 variant=release link=shared threading=multi runtime-link=shared --prefix=/opt/torch_dependency/arm64 --with-thread --with-system --with-filesystem -j$CPU_NUM
6.
https://github.com/gflags/gflags/releases
download gflags-2.2.2.tar.gz
tar -xvf ./gflags-2.2.2.tar.gz
cd gflags-2.2.2
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE=toolchain.make -DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
7.
https://github.com/google/glog/releases
download glog-0.4.0.tar.gz
tar -xvf ./glog-0.4.0.tar.gz
cd glog-0.4.0
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE=toolchain.make -DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DBUILD_TESTING=OFF
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
8.
https://github.com/google/leveldb/releases
download leveldb-1.22.tar.gz
tar -xvf ./leveldb-1.22.tar.gz
cd leveldb-1.22
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE=toolchain.make -DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 -DCMAKE_BUILD_TYPE=Release -DLEVELDB_BUILD_TESTS=OFF -DLEVELDB_BUILD_BENCHMARKS=OFF -DBUILD_SHARED_LIBS=ON
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
9.
Tags · openldap / OpenLDAP · GitLab
download openldap-LMDB_0.9.24.tar.gz
tar -xvf ./openldap-LMDB_0.9.24.tar.gz
cd openldap-LMDB_0.9.24/libraries/liblmdb
gedit ./Makefile
CC = gcc
AR = ar
OPT = -O2 -g
prefix = /usr/local
#change to
CC = aarch64-ca53-linux-gnu-gcc
AR = aarch64-ca53-linux-gnu-ar
OPT = -O3
prefix = /opt/torch_dependency/arm64
#save
make -j$CPU_NUM install
10.
https://github.com/xianyi/OpenBLAS/releases?page=2
download OpenBLAS-0.3.7.tar.gz
tar -xvf ./OpenBLAS-0.3.7.tar.gz
cd OpenBLAS-0.3.7
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Unix Makefiles" \
-DCMAKE_TOOLCHAIN_FILE=toolchain.make \
-DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 \
-DCMAKE_BUILD_TYPE=Release \
-DNOFORTRAN=1 \
-DBUILD_SHARED_LIBS=1
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
11.
download opencv-3.4.8.zip
unzip ./opencv-3.4.8.zip
cd opencv-3.4.8
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Unix Makefiles" \
-DCMAKE_TOOLCHAIN_FILE=toolchain.make \
-DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 \
-DCMAKE_BUILD_TYPE=Release \
-DBUILD_PERF_TESTS=OFF \
-DBUILD_TESTS=OFF \
-DBUILD_ZLIB=ON \
-DWITH_CUDA=OFF \
-DZLIB_INCLUDE_DIR=../3rdparty/zlib
cmake-gui ./CMakeCache.txt
#enable these modules, disable unuse BUILD_opencv_xxxx
BUILD_opencv_core
BUILD_opencv_video
BUILD_opencv_videoio
BUILD_opencv_highgui
BUILD_opencv_imgproc
BUILD_opencv_imgcodecs
#press Configure then Generate
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
12.
https://github.com/protocolbuffers/protobuf/releases?page=6
download protobuf-3.10.1.tar.gz
tar -xvf ./protobuf-3.10.1.tar.gz
cd protobuf-3.10.1
mkdir _host
cd _host
cmake ../cmake/ -G"Unix Makefiles" -DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/x64/host -Dprotobuf_BUILD_TESTS=OFF
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
~~~must copy toolchain.make to ./protobuf-3.10.1/cmake
cd ..
mkdir _mpsoc
cd _mpsoc
export PATH=${PATH}:/opt/torch_dependency/x64/host/bin
cmake ../cmake/ -G"Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE=toolchain.make -DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 -Dprotobuf_BUILD_TESTS=OFF -Dprotobuf_BUILD_SHARED_LIBS=ON
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
13.
https://github.com/google/snappy/releases
download snappy-1.1.7.tar.gz
tar -xvf ./snappy-1.1.7.tar.gz
cd snappy-1.1.7
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE=toolchain.make -DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DSNAPPY_BUILD_TESTS=OFF
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
14.
https://github.com/facebook/rocksdb/releases?page=4
download rocksdb-6.4.6.tar.gz
tar -xvf ./rocksdb-6.4.6.tar.gz
cd rocksdb-6.4.6
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Ninja" -DCMAKE_TOOLCHAIN_FILE=toolchain.make -DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 -DCMAKE_BUILD_TYPE=Release -DWITH_TESTS=OFF -DWITH_TOOLS=OFF -DWITH_GFLAGS=OFF -DPORTABLE=ON
~~~can not use VERBOSE=1~~~
cmake --build . --config Release --target install -- -j$CPU_NUM
15.
https://github.com/zeromq/libzmq/releases
download libzmq-4.3.4.tar.gz
tar -xvf ./libzmq-4.3.4.tar.gz
cd libzmq-4.3.4
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Unix Makefiles" -DCMAKE_INSTALL_PREFIX=/opt/torch_dependency/arm64 -DCMAKE_TOOLCHAIN_FILE=toolchain.make -DBUILD_STATIC=OFF -DBUILD_TESTS=OFF -DWITH_DOCS=OFF -DWITH_PERF_TOOL=OFF
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
16.
first do step 1.2.3.5.6.7. of [libtorch dependency prebuilt in git]
cd $LIBTORCH_ROOT
gedit ./cmake/TorchConfig.cmake.in
~comment
###if("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
### set(TORCH_CXX_FLAGS "-D_GLIBCXX_USE_CXX11_ABI=@GLIBCXX_USE_CXX11_ABI@")
###endif()
mkdir _mpsoc
cd _mpsoc
cmake ${LIBTORCH_ROOT} -G"Unix Makefiles" \
-DCMAKE_INSTALL_PREFIX=/opt/libtorch/arm64 \
-DCMAKE_BUILD_TYPE=Release \
-DCAFFE2_CUSTOM_PROTOC_EXECUTABLE=${LIBTORCH_ROOT}/build_host_protoc/bin/protoc \
-DCMAKE_TOOLCHAIN_FILE=toolchain.make \
-DCMAKE_PREFIX_PATH=/opt/torch_dependency/arm64 \
-DPYTHON_EXECUTABLE=$(which python3) \
-C/opt/torch_dependency/arm64/TryRunResults.cmake \
-DBUILDING_WITH_TORCH_LIBS=ON \
-DBUILD_BINARY=ON \
-DBUILD_CAFFE2_MOBILE=ON \
-DBUILD_CAFFE2_OPS=ON \
-DBUILD_CUSTOM_PROTOBUF=ON \
-DBUILD_DFT=OFF \
-DBUILD_DOCS=OFF \
-DBUILD_GMOCK=ON \
-DBUILD_GNUABI_LIBS=OFF \
-DBUILD_LIBM=ON \
-DBUILD_ONNX_PYTHON=OFF \
-DBUILD_PYTHON=OFF \
-DBUILD_QUAD=OFF \
-DBUILD_SHARED_LIBS=ON \
-DBUILD_TEST=ON \
-DBUILD_TESTS=ON \
-DUSE_ASAN=OFF \
-DUSE_CUDA=OFF \
-DUSE_DISTRIBUTED=OFF \
-DUSE_FBGEMM=ON \
-DUSE_FFMPEG=ON \
-DUSE_GFLAGS=ON \
-DUSE_GLOG=ON \
-DUSE_GLOO=OFF \
-DUSE_LEVELDB=ON \
-DUSE_LITE_PROTO=OFF \
-DUSE_LMDB=ON \
-DUSE_METAL=OFF \
-DUSE_MKLDNN=OFF \
-DUSE_MPI=OFF \
-DUSE_NATIVE_ARCH=OFF \
-DUSE_NNAPI=OFF \
-DUSE_NNPACK=ON \
-DUSE_NUMA=OFF \
-DUSE_NUMPY=ON \
-DUSE_OBSERVERS=OFF \
-DUSE_OPENCL=OFF \
-DUSE_OPENCV=ON \
-DUSE_OPENMP=OFF \
-DUSE_PROF=OFF \
-DUSE_PYTORCH_QNNPACK=OFF \
-DUSE_QNNPACK=ON \
-DUSE_REDIS=OFF \
-DUSE_ROCKSDB=ON \
-DUSE_ROCM=OFF \
-DUSE_SNPE=OFF \
-DUSE_SYSTEM_EIGEN_INSTALL=OFF \
-DUSE_TBB=OFF \
-DUSE_TENSORRT=OFF \
-DUSE_ZMQ=ON \
-DUSE_ZSTD=OFF \
-DHAVE_STD_REGEX=0 \
-DHAVE_POSIX_REGEX=0 \
-DHAVE_STEADY_CLOCK=0 \
-DATEN_THREADING=NATIVE \
-DBLAS=OpenBLAS \
-DCMAKE_CROSSCOMPILING=ON \
-DNATIVE_BUILD_DIR=${LIBTORCH_ROOT}/third_party/sleef/_host/ \
-DCMAKE_CXX_FLAGS="-L/opt/torch_dependency/arm64/lib -llmdb -lleveldb -lsnappy -lopencv_core -lopencv_highgui -lopencv_imgcodecs -lopencv_imgproc -lopencv_video -lopencv_videoio -lzmq -lrocksdb"
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
~~~note: using python 3.7.9 = -DPYTHON_EXECUTABLE=$(which python3)
17.
https://github.com/pytorch/vision/releases
download vision-0.8.2.tar.gz
tar -xvf ./vision-0.8.2.tar.gz
cd vision-0.8.2
~modify these files add definition USE_PYTHON for cmake, header, source
./CMakeLists.txt
./cmake/TorchVisionConfig.cmake.in
./torchvision/csrc/cpu/image/image.cpp
./torchvision/csrc/cpu/video/Video.h
./torchvision/csrc/cpu/video_reader/VideoReader.cpp
./torchvision/csrc/cpu/vision_cpu.h
./torchvision/csrc/empty_tensor_op.h
./torchvision/csrc/vision.cpp
~patch here
mkdir _mpsoc
cd _mpsoc
cmake .. -G"Unix Makefiles" \
-DCMAKE_TOOLCHAIN_FILE=toolchain.make \
-DCMAKE_INSTALL_PREFIX=/opt/torch_vision/arm64 \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_PREFIX_PATH=/opt/torch_dependency/arm64 \
-DTorch_DIR=/opt/libtorch/arm64/share/cmake/Torch \
-DUSE_PYTHON=OFF \
-DWITH_CUDA=OFF \
-DPNG_LIBRARY=/opt/torch_dependency/arm64/lib/libopencv_imgcodecs.so \
-DJPEG_LIBRARY=/opt/torch_dependency/arm64/lib/libopencv_imgcodecs.so
~~~remove define _GLIBCXX_USE_CXX11_ABI
~~~TorchConfig.cmake.in modified already, so we can skip sed -i
###sed -i 's/-D_GLIBCXX_USE_CXX11_ABI=//g' ./CMakeFiles/torchvision.dir/flags.make
cmake --build . --config Release --target install -- -j$CPU_NUM VERBOSE=1
sample code:
demo: (both forward & backward support for aarch64-linux-gnu-gcc)
File sharing and storage made simple
File sharing and storage made simple
https://www.mediafire.com/view/cmqha2rgexv7l3p/libtorch_nettransform.png
File sharing and storage made simple
///
Tesla told in New York Herald: I prefer to be remembered as the inventor who succeeded in abolishing war. That will be my highest pride.
Tesla Collection (in middle section)
Albert Einstein: The release of atom power has changed everything except our way of thinking... the solution to this problem lies in the heart of mankind. If only I had known, I should have become a watchmaker.
Albert Einstein – AtomicTrauma
AI produce carbon footprint
