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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 -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# We'll also explicitly upgrade libpng because it's out of date | |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 | |
http://www.nvidia.com/download/driverResults.aspx/114669/en-us
for mac os 10.12.3
Has anyone used MKL as the math library, I can't seem to link it properly
When I run python -c 'import caffe
I get:
Traceback (most recent call last):
File "", line 1, in
File "/Users/alejandroposada/Library/Python/2.7/lib/python/site-packages/caffe/init.py", line 1, in
from .pycaffe import Net, SGDSolver, NesterovSolver, AdaGradSolver, RMSPropSolver, AdaDeltaSolver, AdamSolver, NCCL, Timer
File "/Users/alejandroposada/Library/Python/2.7/lib/python/site-packages/caffe/pycaffe.py", line 13, in
from ._caffe import Net, SGDSolver, NesterovSolver, AdaGradSolver,
ImportError: dlopen(/Users/alejandroposada/Library/Python/2.7/lib/python/site-packages/caffe/_caffe.so, 2): Library not loaded: @rpath/libcudnn.5.dylib
Referenced from: /usr/local/lib/libcaffe.so.1.0.0-rc5
Reason: image not found
How can I solve this?
(make -j8 pytest
's result is OK)
I got
Liams-MBP:caffe lca$ brew install hdf5 opencv
Error: No available formula with the name "hdf5"
until I did brew tap homebrew/science
Also homebrew/versions is now deprecated
make: *** No rule to make target `all'. Stop.
I get this after running make -j8 all. Please help. Thank you !
If someone needs to run this version of caffe: https://github.com/weiliu89/caffe/tree/ssd
I've followed this guide and it works. Just make sure that:
- hdf5 version = 1.10.1
- protobuf version = 3.2.0_1
because brew downloads updated dependencies for those two
My MacBook's GPU is Intel Iris Graphics 6100, not cuda-based, so cannot run caffe with GPU on my mac? And there is no need to install cuda toolkit?
@ShivaliGoel Run the command in the caffe directory, i.e. cd caffe
raffaelladeMacBook-Pro:Documents raffaella$ make -j8 all make: *** No rule to make target all'. Stop.
What should I do? I got this error.
brew tap homebrew/versions - deprecated
brew tap homebrew/science - deprecated
what to use instead?
@adelaidepan Run the command in the caffe directory, i.e., cd caffe
.
@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.
dropbox failed....
Is it possible on Mac 10.13 series?
Looks like your code was replicated here
https://gist.github.com/rizkyario/8adf4e248afd3de509c00f30bd23fe61
@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!
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] ErrorPlease help. Thank you.
I ran into the same issue. I have no idea what this error is about. Can someone please help. Thank you.
Hi, you're makefile config is broken: https://dl.dropboxusercontent.com/u/2891540/Makefile.config
dropbox is giving 404
http://www.nvidia.com/download/driverResults.aspx/113889/en-us
for mac os 10.12.2