## Building Caffe2

[![Build Status](https://travis-ci.org/caffe2/caffe2.svg?branch=cmake)](https://travis-ci.org/caffe2/caffe2)

    git clone https://github.com/bwasti/caffe2.git
    cd caffe2
    
#### OS X
    
    brew install openblas glog gtest automake protobuf leveled lmdb
    mkdir build && cd build
    cmake .. -DBLAS=OpenBLAS -DUSE_OPENCV=off
    make

#### Ubuntu

    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
    
## Python support

To run the tutorials you'll need ipython-notebooks and matplotlib, which can be installed on OS X with:
    
    brew install matplotlib --with-python3
    pip install ipython notebook

