This guide builds from source. For alternatives, refer to https://caffe2.ai/docs/getting-started.html
Get latest source from GitHub.
git clone --recursive https://github.com/caffe2/caffe2.git cd caffe2
Note that you might need to uninstall existing Eigen and pybind11 packages due to compile-time dependencies when building from source. For this reason, Caffe2 uses git submodules to reference external packages in the third_party folder. These are downloaded with the --recursive option.
brew install openblas glog gtest automake protobuf leveled lmdb mkdir build && cd build cmake .. -DBLAS=OpenBLAS -DUSE_OPENCV=off make
sudo apt-get install libprotobuf-dev protobuf-compiler libatlas-base-dev libgoogle-glog-dev libgtest-dev liblmdb-dev libleveldb-dev libsnappy-dev python-dev python-pip libiomp-dev libopencv-dev libpthread-stubs0-dev cmake
sudo pip install numpy
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_8.0.44-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1404_8.0.44-1_amd64.deb
sudo apt-get update
sudo apt-get install cuda
sudo apt-get install git
CUDNN_URL="http://developer.download.nvidia.com/compute/redist/cudnn/v5.1/cudnn-8.0-linux-x64-v5.1.tgz" &&
curl -fsSL ${CUDNN_URL} -O &&
sudo tar -xzf cudnn-8.0-linux-x64-v5.1.tgz -C /usr/local &&
rm cudnn-8.0-linux-x64-v5.1.tgz &&
sudo ldconfig
mkdir build && cd build
cmake ..
make
sudo apt-get install libprotobuf-dev protobuf-compiler libatlas-base-dev libgoogle-glog-dev libgtest-dev liblmdb-dev libleveldb-dev libsnappy-dev python-dev python-pip libiomp-dev libopencv-dev libpthread-stubs0-dev cmake
sudo pip install numpy
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1604_8.0.61-1_amd64.deb
sudo apt-get update
sudo apt-get install cuda
sudo apt-get install git
CUDNN_URL="http://developer.download.nvidia.com/compute/redist/cudnn/v5.1/cudnn-8.0-linux-x64-v5.1.tgz" &&
curl -fsSL ${CUDNN_URL} -O &&
sudo tar -xzf cudnn-8.0-linux-x64-v5.1.tgz -C /usr/local &&
rm cudnn-8.0-linux-x64-v5.1.tgz &&
sudo ldconfig
mkdir build && cd build
cmake ..
make
To use Caffe2 in Python, you need two libraries, future and six.
pip install future six
To run the tutorials, download additional source from GitHub.
git clone --recursive https://github.com/caffe2/tutorials.git caffe2_tutorials cd caffe2_tutorials
You'll also need jupyter (formerly ipython) notebooks and matplotlib, which can be installed on MacOS X with
brew install matplotlib --with-python3 pip install jupyter