OSX 10.11 linking issue: dyld: Library not loaded: libcaffe.so.1.0.0-rc3 and dyld: Library not loaded: @rpath/libcudart.7.5.dylib

[lettergram]

I am receiving the following errors for both make runtest and ./examples/mnist/create_mnist.sh. Make all and make test ran fine.

$ make runtest
.build_release/tools/caffe
dyld: Library not loaded: @rpath/libcudart.7.5.dylib
  Referenced from: /Users/kht516/Development/caffe/.build_release/tools/caffe
  Reason: image not found
make: *** [runtest] Trace/BPT trap: 5

$ ./examples/mnist/create_mnist.sh
Creating lmdb...
dyld: Library not loaded: libcaffe.so.1.0.0-rc3
  Referenced from: /Users/username/Development/caffe/build/examples/mnist/convert_mnist_data.bin
  Reason: image not found

I am currently running:
OX: 10.11.2
Macbook Pro 15 inch Retna Mid-2015
No GPU - Graphics Intel Iris Pro 1536 Mb

I have looked at Here to try and fix the problem, to no avail.

I have installed openBLAS and followed all the instructions.

[yutkin]

After make test in $CAFFE_ROOT:
cp -a .build_release/lib/. /usr/local/lib/

[gyurisc]

@yutkin the cp command helped me. Now, I am able to runtest.

[datomnurdin]

Thank you!! solved!!

[lettergram]

Because I am not using the GPU, I don't have libcudart, which means when I run:

$ make runtest

I receive the following:

dyld: Library not loaded: @rpath/libcudart.7.5.dylib
  Referenced from: /Users/kht516/Development/ml/caffe/.build_release/tools/caffe
  Reason: image not found
make: *** [runtest] Trace/BPT trap: 5

[yutkin]

@lettergram Please, show your Makefile.config.

[jason718]

@yutkin THX!!!!!!!!

[lettergram]

@yutkin Here is my Makefile.config

## Refer to http://caffe.berkeleyvision.org/installation.html                                                           
# Contributions simplifying and improving our build system are welcome!                                                 

# cuDNN acceleration switch (uncomment to build with cuDNN).                                                            
# USE_CUDNN := 1                                                                                                        

# CPU-only switch (uncomment to build without GPU support).                                                             
CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers                                                    
# USE_OPENCV := 0                                                                                                       
# USE_LEVELDB := 0                                                                                                      
# USE_LMDB := 0                                                                                                         

# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)                                             
#       You should not set this flag if you will be reading LMDBs with any                                              
#       possibility of simultaneous read and write                                                                      
# ALLOW_LMDB_NOLOCK := 1                                                                                                

# Uncomment if you're using OpenCV 3                                                                                    
# OPENCV_VERSION := 3                                                                                                   

# To customize your choice of compiler, uncomment and set the following.                                                
# N.B. the default for Linux is g++ and the default for OSX is clang++                                                  
# CUSTOM_CXX := g++                                                                                                     

# CUDA directory contains bin/ and lib/ directories that we need.                                                       
# CUDA_DIR := /usr/local/cuda                                                                                           
# On Ubuntu 14.04, if cuda tools are installed via                                                                      
# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:                                                     
# CUDA_DIR := /usr                                                                                                      

# CUDA architecture setting: going with all of them.                                                                    
# For CUDA < 6.0, comment the *_50 lines for compatibility.                                                             
CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
                -gencode arch=compute_20,code=sm_21 \
                -gencode arch=compute_30,code=sm_30 \
                -gencode arch=compute_35,code=sm_35 \
                -gencode arch=compute_50,code=sm_50 \
                -gencode arch=compute_50,code=compute_50

# BLAS choice:                                                                                                          
# atlas for ATLAS (default)                                                                                             
# mkl for MKL                                                                                                           
# open for OpenBlas                                                                                                     
BLAS := atlas
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.                                                              
# Leave commented to accept the defaults for your choice of BLAS                                                        
# (which should work)!                                                                                                  
# BLAS_INCLUDE := /path/to/your/blas                                                                                    
# BLAS_LIB := /path/to/your/blas                                                                                        

# Homebrew puts openblas in a directory that is not on the standard search path                                         
# BLAS_INCLUDE := $(shell brew --prefix openblas)/include                                                               
# BLAS_LIB := $(shell brew --prefix openblas)/lib                                                                       

# This is required only if you will compile the matlab interface.                                                       
# MATLAB directory should contain the mex binary in /bin.                                                               
# MATLAB_DIR := /usr/local                                                                                              
# MATLAB_DIR := /Applications/MATLAB_R2012b.app                                                                         

# NOTE: this is required only if you will compile the python interface.                                                 
# We need to be able to find Python.h and numpy/arrayobject.h.                                                          
PYTHON_INCLUDE := /usr/include/python2.7 \
                /usr/lib/python2.7/dist-packages/numpy/core/include
# Anaconda Python distribution is quite popular. Include path:                                                          
# Verify anaconda location, sometimes it's in root.                                                                     
# ANACONDA_HOME := $(HOME)/anaconda                                                                                     
# PYTHON_INCLUDE := $(ANACONDA_HOME)/include \                                                                          
                # $(ANACONDA_HOME)/include/python2.7 \                                                                  
                # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \                                     

# Uncomment to use Python 3 (default is Python 2)                                                                       
# PYTHON_LIBRARIES := boost_python3 python3.5m                                                                          
# PYTHON_INCLUDE := /usr/include/python3.5m \                                                                           
#                 /usr/lib/python3.5/dist-packages/numpy/core/include                                                   

# We need to be able to find libpythonX.X.so or .dylib.                                                                 
PYTHON_LIB := /usr/lib
# PYTHON_LIB := $(ANACONDA_HOME)/lib                                                                                    

# Homebrew installs numpy in a non standard path (keg only)                                                             
# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include                   
# PYTHON_LIB += $(shell brew --prefix numpy)/lib                                                                        

# Uncomment to support layers written in Python (will link against Python libs)                                         
# WITH_PYTHON_LAYER := 1                                                                                                

# Whatever else you find you need goes here.                                                                            
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general depe\
ndencies                                                                                                                
# INCLUDE_DIRS += $(shell brew --prefix)/include                                                                        
# LIBRARY_DIRS += $(shell brew --prefix)/lib                                                                            

# Uncomment to use `pkg-config` to specify OpenCV library paths.                                                        
# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)                 
# USE_PKG_CONFIG := 1                                                                                                   

BUILD_DIR := build
DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171                         
# DEBUG := 1                                                                                                            

# The ID of the GPU that 'make runtest' will use to run unit tests.                                                     
TEST_GPUID := 0

# enable pretty build (comment to see full commands)                                                                    
Q ?= @

[lettergram]

I actually have the same problem with another Mac I have:

OS X El Capitan Version 10.11.3
MacBook Pro (Retina, 15-inch, Mid 2014)
Processor 2.5 GHz Intel Core i7
Memory 16 GB 1600 MHz DDR3
Graphics: NVIDIA GeForce GT 750M 2048 MB

$ make Install

Success

$ make test

Success

$ make runtest

Failure

Receiving the following:

make runtest
.build_release/tools/caffe
dyld: Library not loaded: @rpath/libcudart.7.5.dylib
  Referenced from: /Users/kht516/Development/caffe/.build_release/tools/caffe
  Reason: image not found
make: *** [runtest] Trace/BPT trap: 5

The issue seems to be the same as #2320.

However, I do not have the option to disable csrutil.

Is there some other solution I could try?

[aghagol]

Did you try (locating and) copying those libraries (libcudart.7.5.dylib) to /usr/local/lib/ as @yutkin suggested? Just wondering.

[lettergram]

@aghagol I did, it did not appear to work.

[rollingstone]

I had the similar problem. The following steps solved the issue. (caffe is installed in ~/caffe)
I have anaconda python distribution.

brew uninstall python
sudo mv  /System/Library/Frameworks/Python.framework /System/Library/Frameworks/Python.framework.bak
(just to make sure only anaconda python is used)

make all -j8
make test -j8

cp -a ~/caffe/.build_release/lib/. /usr/local/lib/

Modified ~/.profile (or in ~/.bashrc)

export PYTHONPATH=~/caffe/python:$PYTHONPATH

unset DYLD_LIBRARY_PATH
export DYLD_FALLBACK_LIBRARY_PATH=~/anaconda/lib:/usr/local/lib

then ....
make runtest 

hope it helps

[givenjazz]

@rollingstone THX.
I had the similar problem, too.

export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/usr/local/cuda/lib

[shelhamer]

The libcaffe.so linking issue as shown by

$ ./examples/mnist/create_mnist.sh
Creating lmdb...
dyld: Library not loaded: libcaffe.so.1.0.0-rc3
  Referenced from: /Users/username/Development/caffe/build/examples/mnist/convert_mnist_data.bin
  Reason: image not found

is fixed in #3696.

The CUDA linking error is fixed in #3695. Note however that if you do not have a GPU you should build in CPU-only mode to save yourself the headache of installing CUDA at all.

[victorv]

We ran into this problem as we build mutiple targets from the same source (cpu, cuda, opencl, alt) and each goes into a separate BUILD_DIR as specified in Makefile.config. Unfortunately, Makefile assumes all the builds go into a "build" directory. Here is a patch to Makefile -

diff --git a/Makefile b/Makefile
index f8652a5..270cb7e 100644
--- a/Makefile
+++ b/Makefile
@@ -298,7 +298,7 @@ ifeq ($(OSX), 1)
LIBRARIES += boost_thread-mt
# we need to explicitly ask for the rpath to be obeyed
ORIGIN := @loader_path

•   VERSIONFLAGS += -Wl,-install_name,@rpath/$(DYNAMIC_VERSIONED_NAME_SHORT) -Wl,-rpath,$(ORIGIN)/../../build/lib
  

•   VERSIONFLAGS += -Wl,-install_name,@rpath/$(DYNAMIC_VERSIONED_NAME_SHORT) -Wl,-rpath,$(ORIGIN)/../../$(BUILD_DIR)/lib
  

else
ORIGIN := $$ORIGIN
endif
@@ -515,7 +515,7 @@ $(PY$(PROJECT)_SO): $(PY$(PROJECT)_SRC) $(PY$(PROJECT)_HXX) | $(DYNAMIC_NAME)
@ echo CXX/LD -o $@ $<
$(Q)$(CXX) -shared -o $@ $(PY$(PROJECT)_SRC)
-o $@ $(LINKFLAGS) -l$(LIBRARY_NAME) $(PYTHON_LDFLAGS) \

•           -Wl,-rpath,$(ORIGIN)/../../build/lib
  

•           -Wl,-rpath,$(ORIGIN)/../../$(BUILD_DIR)/lib
  

mat$(PROJECT): mat