Dyld_fallback_library_path Mac Caffe

31.05.2020

74 - Comments

install_caffe.sh

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Dyld_fallback_library_path Mac Caffeine

#!/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# We'll also explicitly upgrade libpng because it's out of date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

That is because on Mac OS X El Capitan, DYLDFALLBACKLIBRARYPATH is cleared by the new System Integrity Protection feature of El Capitan. See the discussions 2320 and 3628. Boot to Recovery OS by restarting your machine and holding down the Command and R. $ caffe -version caffe version 1.0.0-rc3 $ python import caffe というわけで，無事インストール完了．動作確認の話につづく： Caffe を使ってみる - まんぼう日記. Caffe deep learning framework (Installation instructions) And there are a bunch of problems with installing caffe framework on Mac. There is an official manual for installation with the specific instructions about OS X part. In the general case you should be able to install Caffe on Mac.

I use Anaconda2 Python, HDF5 is bundled.( at the beginning, I install HDF5 with brew, they give me some warning, the vision of lib and header are different.

commented Jul 27, 2017

Thank's, it helped a lot!

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commented Feb 9, 2018

This is great! Thanks.

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