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Installing Caffe on Mac 10.11.5 and later in the 10.11 series, and 10.12.1 and later in the 10.12 series
#!/bin/sh
# Install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Apple hides old versions of stuff at https://developer.apple.com/download/more/
# Install the latest XCode (8.0).
# We used to install the XCode Command Line Tools 7.3 here, but that would just upset the most recent versions of brew.
# So we're going to install all our brew dependencies first, and then downgrade the tools. You can switch back after
# you have installed caffe.
# Install CUDA toolkit 8.0 release candidate
# Register and download from https://developer.nvidia.com/cuda-release-candidate-download
# or this path from https://developer.nvidia.com/compute/cuda/8.0/rc/local_installers/cuda_8.0.29_mac-dmg
# Select both the driver and the toolkit, no documentation necessary
# Install the experimental NVIDIA Mac drivers
# Download from http://www.nvidia.com/download/driverResults.aspx/103826/en-us
# Install cuDNN v5 for 8.0 RC or use the latest when it's available
# Register and download from https://developer.nvidia.com/rdp/cudnn-download
# or this path: https://developer.nvidia.com/rdp/assets/cudnn-8.0-osx-x64-v5.0-ga-tgz
# extract to the NVIDIA CUDA folder and perform necessary linking
# into your /usr/local/cuda/lib and /usr/local/cuda/include folders
# You will need to use sudo because the CUDA folder is owned by root
sudo tar -xvf ~/Downloads/cudnn-8.0-osx-x64-v5.0-ga.tar /Developer/NVIDIA/CUDA-8.0/
sudo ln -s /Developer/NVIDIA/CUDA-8.0/lib/libcudnn.dylib /usr/local/cuda/lib/libcudnn.dylib
sudo ln -s /Developer/NVIDIA/CUDA-8.0/lib/libcudnn.5.dylib /usr/local/cuda/lib/libcudnn.5.dylib
sudo ln -s /Developer/NVIDIA/CUDA-8.0/lib/libcudnn_static.a /usr/local/cuda/lib/libcudnn_static.a
sudo ln -s /Developer/NVIDIA/CUDA-8.0/include/cudnn.h /usr/local/cuda/include/cudnn.h
# Install the brew dependencies
# Do not install python through brew. Only misery lies there
# We'll use the versions repository to get the right version of boost and boost-python
# We'll also explicitly upgrade libpng because it's out of date
# Do not install numpy via brew. Your system python already has it.
brew install -vd snappy leveldb gflags glog szip lmdb
brew install hdf5 opencv
brew upgrade libpng
brew tap homebrew/science
brew tap homebrew/versions
brew install --build-from-source --with-python -vd protobuf
brew install --build-from-source -vd boost159 boost-python159
# Clone the caffe repo
cd ~/Documents
git clone https://github.com/BVLC/caffe.git
# Setup Makefile.config
# You can download mine directly from here, but I'll explain all the selections
# For XCode 7.3:
# https://www.dropbox.com/s/vuy6ha0p7cc5px3/Makefile.config?dl=1
# For XCode 8.0 and later (Sierra):
# https://dl.dropboxusercontent.com/u/2891540/caffe_10.12/Makefile.config
# First, we'll enable cuDNN
# USE_CUDNN := 1
# In order to use the built-in Accelerate.framework, you have to reference it.
# Astonishingly, nobody has written this anywhere on the internet.
# BLAS := atlas
# If you use El Capitan (10.11), we'll use the 10.11 sdk path for vecLib:
# BLAS_INCLUDE := /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.11.sdk/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/Headers
# Otherwise (10.12), let's use the 10.12 sdk path:
# BLAS_INCLUDE := /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.12.sdk/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/Headers
# BLAS_LIB := /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A
# Configure to use system python and system numpy
# PYTHON_INCLUDE := /System/Library/Frameworks/Python.framework/Headers \
# /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/include
# PYTHON_LIB := /System/Library/Frameworks/Python.framework/Versions/2.7/lib
# Configure to enable Python layers. Some projects online need this
# WITH_PYTHON_LAYER := 1
curl https://dl.dropboxusercontent.com/u/2891540/Makefile.config -o Makefile.config
# Download the XCode Command Line Tools for 7.3, since NVIDIA does not yet support Xcode 8.0's tools
# http://adcdownload.apple.com/Developer_Tools/Command_Line_Tools_OS_X_10.11_for_Xcode_7.3/Command_Line_Tools_OS_X_10.11_for_Xcode_7.3.dmg
# Now, choose those tools instead
sudo xcode-select --switch /Library/Developer/CommandLineTools
# Go ahead and build.
cd caffe
make -j8 all
# To get python going, first we need the dependencies
# On a super-clean Mac install, you'll need to easy_install pip.
sudo -H easy_install pip
# Now, we'll install the requirements system-wide. You may also muck about with a virtualenv.
# Astonishingly, --user is not better known.
pip install --user -r python/requirements.txt
# Go ahead and run pytest now. Horrible @rpath warnings which can be ignored.
make -j8 pytest
# Now, install the package
# Make the distribution folder
make distribute
# Install the caffe package into your local site-packages
cp -r distribute/python/caffe ~/Library/Python/2.7/lib/python/site-packages/
# Finally, we have to update references to where the libcaffe libraries are located.
# You can see how the paths to libraries are referenced relatively
# otool -L ~/Library/Python/2.7/lib/python/site-packages/caffe/_caffe.so
# Generally, on a System Integrity Protection -enabled (SIP-enabled) Mac this is no good.
# So we're just going to change the paths to be direct
cp distribute/lib/libcaffe.so.1.0.0-rc3 ~/Library/Python/2.7/lib/python/site-packages/caffe/libcaffe.so.1.0.0-rc3
install_name_tool -change @rpath/libcaffe.so.1.0.0-rc3 ~/Library/Python/2.7/lib/python/site-packages/caffe/libcaffe.so.1.0.0-rc3 ~/Library/Python/2.7/lib/python/site-packages/caffe/_caffe.so
# Verify that everything works
# start python and try to import caffe
python -c 'import caffe'
# If you got this far without errors, congratulations, you installed Caffe on a modern Mac OS X
@jamesweb1
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jamesweb1 commented Jul 3, 2018

Is it possible on Mac 10.13 series?

@triple-tam
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triple-tam commented Dec 21, 2018

@triple-tam
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triple-tam commented Dec 22, 2018

@joyzhou28 You cannot run caffe with GPU on your Mac, and you do not need to install CUDA toolkit. Download the latest binary from their website if you don't need CUDA support.

I also have a MacOS 10.12 but with no Nvidia graphics driver (I have Intel Iris 1600 instead). So if I understand your comment correctly, I won't be able to install CUDA toolkit on my Mac. What do you mean by latest binary though? Can you provide a link? What does this binary do?

And if I download the binary instead of the CUDA toolkit, how does this change the commands I should run from your install_caffe.sh file? Thank you!

@anilkumar2444
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anilkumar2444 commented Feb 27, 2019

Hi, when I ran make -j8 all, I got following errors"
ld: symbol(s) not found for architecture x86_64
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [.build_release/lib/libcaffe.so.1.0.0-rc3] Error

Please help. Thank you.

I ran into the same issue. I have no idea what this error is about. Can someone please help. Thank you.

@CCLDArjun
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CCLDArjun commented Mar 9, 2021

Hi, you're makefile config is broken: https://dl.dropboxusercontent.com/u/2891540/Makefile.config

dropbox is giving 404

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