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| #!/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 -xvzf ~/Downloads/cudnn-8.0-osx-x64-v5.0-ga.tgz -C /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| # We'll also explicitly upgrade libpng because it's out of date |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 tap homebrew/science |
| brew install hdf5 opencv |
| # brew upgrade libpng |
| brew tap homebrew/versions |
| brew install --build-from-source --with-python -vd protobuf |
| # brew install --build-from-source -vd boost159 boost-python159 |
| brew install --build-from-source -vd boost boost-python |
| # 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 8.0 and later (Sierra): |
| # https://gist.github.com/rizkyario/bcae50a1042d86d6bf01f1b30159cea7 |
| # 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://gist.githubusercontent.com/rizkyario/bcae50a1042d86d6bf01f1b30159cea7/raw/2ad48060413975b52dc5f0e8c5841e502406dbfb/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_7.3.1/Command_Line_Tools_OS_X_10.11_for_Xcode_7.3.1.dmg |
| # Now, choose those tools instead |
| sudo xcode-select --switch /Library/Developer/CommandLineTools |
| sudo xcode-select -s /Applications/Xcode.app/Contents/Developer |
| export LD_LIBRARY_PATH=/Developer/NVIDIA/CUDA-8.0/cuda/lib/:${LD_LIBRARY_PATH} |
| export DYLD_LIBRARY_PATH=/Developer/NVIDIA/CUDA-8.0/cuda/lib |
| export DYLD_FALLBACK_LIBRARY_PATH=/usr/local/cuda/lib:/Developer/NVIDIA/CUDA-8.0/lib:/usr/local/cuda |
| # Go ahead and build. |
| make -j8 all |
| make all |
| make test |
| make runtest |
| make pycaffe |
| make pytest |
| # 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. |
| # Fix Malloc error. This is a leveldb issue |
| brew install https://gist.githubusercontent.com/hellysmile/ffd665fb1bd1bf978bc99cb7f57250c9/raw/c0a06f1b98388333955f49e30e01dfdde2d82526/leveldb.rb |
| 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 |
| # Make matlab interface |
| # https://github.com/BVLC/caffe/issues/3831 |
| make all matcaffe |
| make mattest |
commented Jul 27, 2017
Xcode 8.0 Download Dmg Windows 7
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Thank's, it helped a lot! |
commented Feb 9, 2018
Xcode 8.0 Download Dmg Windows 7
This is great! Thanks. |