| commit | 65f7c915fd471cf7845f6a9fe2d8172abb3c060c | [log] [tgz] |
|---|---|---|
| author | Dmytro Dzhulgakov <dzhulgakov@fb.com> | Wed Jan 25 11:06:11 2017 -0800 |
| committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | Wed Jan 25 11:14:51 2017 -0800 |
| tree | 2e413db27af96881682746edce4604e0a53b45ee | |
| parent | ddbf90afa3ea5c239864e2f0778eca9b5a2c809f [diff] |
Fix non-chunked Blob::Serialize method Summary: Previous implementation was just concatenating string which I believe is wrong. Instead let's turn off chunking when we don't ask for it. Reviewed By: kennyhorror Differential Revision: D4461311 fbshipit-source-id: 8b9a3325a40a1cd0a8ffeeb20a17bf9f57b7b0a9
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 --recursive https://github.com/bwasti/caffe2.git cd caffe2
brew install automake protobuf 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/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
Ubuntu 14.04 (GCC)
OS X (Clang)
Options (both Clang and GCC)
BLAS
Other