'Library not loaded: @rpath/libcudart.7.5.dylib' TensorFlow Error on Mac

This error message is displayed if you install the GPU-enabled Mac OS version of TensorFlow (available from release 0.10 onwards) on a machine that does not have CUDA installed.

To fix the error, install the CPU version for Python 2.7 or 3.x, as follows:

# Mac OS X, CPU only, Python 2.7:$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py2-none-any.whl$ sudo pip install --upgrade $TF_BINARY_URL# Mac OS X, CPU only, Python 3.4 or 3.5:$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.0-py3-none-any.whl$ sudo pip3 install --upgrade $TF_BINARY_URL

See tensorflow versions: https://www.tensorflow.org/versions/

To add to @mrry's answer, if you already have CUDA installed but you still get the error, it could be because the CUDA libraries are not on your path. Add the following to your ~/.bashrc or ~/.zshrc:

# export CUDA_HOME=/Developer/NVIDIA/CUDA-7.5 ## This is the default location on macOSexport CUDA_HOME=/usr/local/cudaexport DYLD_LIBRARY_PATH="$CUDA_HOME/lib:$DYLD_LIBRARY_PATH"export PATH="$CUDA_HOME/bin:$PATH"

Uncomment either of the CUDA_HOMEs or edit it so that it contains your CUDA install. If you do not know where it is installed, try:

find / -name "*libcudart*"

Certainly installing CUDA is essential, as is ensuring that all the paths are correct. I'm running:

• TensorFlow 0.12r0
• OSX 10.12.1
• python 2.7 from brew
• virtualenv to separate my python environments
• CUDA 8.0.55
• cudnn-8.0-osx-x64-v5.1

On my system I have also had further issues where it appears that the problem originates from the dynamic libraries internally referencing relative paths.

To discover the @rpath being referenced from _pywrap_tensorflow.so the following code is run:

otool -l /Users/norman_h/.virtualenvs/env_name/lib/python2.7/site-packages/tensorflow/python/_pywrap_tensorflow.so

which returned, amongst other things, the following:

Load command 15      cmd LC_RPATH      cmdsize 128      path $ORIGIN/../../_solib_darwin/_U@local_Uconfig_Ucuda_S_Scuda_Ccudart___Uexternal_Slocal_Uconfig_Ucuda_Scuda_Slib (offset 12)Load command 16      cmd LC_RPATH      cmdsize 48      path ../local_config_cuda/cuda/lib (offset 12)Load command 17      cmd LC_RPATH      cmdsize 56      path ../local_config_cuda/cuda/extras/CUPTI/lib (offset 12)

It can be seen that the dynamic library is attempting to find the CUDA libraries within my virtual environment where I installed TensorFlow with pip. It's not looking within my systems environment paths.

A hack around of a solution is to dynamically link the CUDA libraries from their /usr/local/cuda/lib location into the site-packages where pip installed TensorFlow inside my virtual environment.

mkdir /Users/norman_h/.virtualenvs/env_name/lib/python2.7/site-packages/tensorflow/local_config_cudacd /Users/norman_h/.virtualenvs/env_name/lib/python2.7/site-packages/tensorflow/local_config_cudaln -s /usr/local/cuda .

Will need to re-link when pip upgrades TensorFlow from within the virtual environment.

I think this all goes back to the original compilation of TensorFlow that is done for the pip install and I have no idea how to submit a fix, or even if I am correct. Perhaps the original compilation of Tensorflow needs to be more dynamic and not static.

Best of luck!