| commit | 3dbcae9ef0eb730e50387e48473ee9301e176921 | [log] [tgz] |
|---|---|---|
| author | Bram Wasti <bwasti@fb.com> | Thu Dec 29 13:51:26 2016 -0500 |
| committer | Bram Wasti <bwasti@fb.com> | Thu Dec 29 13:51:26 2016 -0500 |
| tree | af9d992d119a20b8fa9489c3188489c65d3ac95f | |
| parent | b097c993e0b7891283294b2e136f13c71ecbe080 [diff] |
Fix typo breaking NumPy includes
Caffe2 is a deep learning framework made with expression, speed, and modularity in mind. It is an experimental refactoring of Caffe, and allows a more flexible way to organize computation.
Caffe2 is released under the BSD 2-Clause license.
git clone https://github.com/bwasti/caffe2.git cd caffe2
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
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