Cuda For 10.11 Os X

Deep learning is a hot topic these days and it is greatly increased by the fact that AMD/nVidia video cards can be used for accelerating the training of very complex neural networks. In the meantime, some powerful frameworks have been developed by the community. One of the most known is Caffe which is specialized in image recognition, just one of the areas where I am more interested in.

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However, it is not an easy task to get a working Caffe environment for a standard user. Of course, there are plenty of online documentation and some very nice guides but I didn’t find any for a Mac OS X 10.11.4 version working out of the box, so after struggling several hours trying to have everything ready, I decided to post here all the steps just in case it could help someone else.

The driver page mentions a very old CUDA v7.5.30. If you already have CUDA installed, check the prefs for an update. (The last CUDA version that listed OS X 10.11.x support on the download page was CUDA 8.0.90, but the D/L page listing isn't always accurate.) Nvidia Graphics Driver for macOS High Sierra 10.13.6 build 17G65. Download English (India) drivers for NVIDIA hardware -, NVIDIA CUDA 7.5 FOR MAC OS X RELEASE.

In my case, I wanted to run the cool new automatic colorization methods using deep learning algorithms and the results are absolutely fantastic.

In addition, I also wanted to use CPU and GPU code paths in order to compare the processing speed, unfortunately, the video card I have on my workstation is an old AMD card and I need to have a nVidia one for using CUDA libraries so my only machine with that specs is a MacBook Pro with Mac OS X 10.11.4, 16GB RAM, Intel Core i7 4960HQ and a nVidia GeForce GT 750M (2GB).

Let’s start with the optional but highly recommended prerequisites:

Check your Mac OS X and update everything is pending, you also need to install Xcode, 7.3 is the latest one but not supported by CUDA yet so later on, I will show you a work around for this issue
Install Homebrew package manager and if possible, start up with a clean /usr/local directory
Install Anaconda Python 2.7 on /usr/local directory. Once it is done, add to your ~/.bash_profile file:

Now, we are installing the needed libraries:

Install nVidia CUDA 7.5, in my case the exact version is 7.5.27. I also installed it on /usr/local/cuda. Once it is done, add to your ~/.bash_profile file:
Install nVidia cuDNN, you have to register and get approved by nVidia. I got 7.5 v5 but unfortunately, I was not able to use it, apparently some kind of incompatibility with my CUDA version or the Xcode used. In any case, once you have the tgz file, just uncompress it (tar -xfvz) and copy the contents of the /lib directory in to /usr/local/cuda/lib and cudnn.h to /usr/local/cuda/include directory.

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Install Intel MKL libraries, which is a part of Intel Parallel Studio XE Composer, you can download a trial version or a student/academic research one if you fulfill the requirements. MKL libraries are installed on /opt/intel/mkl. Once it is done, add to your ~/.bash_profile file:
Using Homebrew, we are installing some needed libraries. At this point, it is very important to have the right environment variables, if you followed the guide step-by-step, you have them on your ~/.bash_profile but if you were working on the same terminal session, they are not loaded so, you can close this terminal and open a new one or just execute this command:
Before starting to download, compile and install the pending libraries, execute this command:
and you should see something like “Python 2.7.xx :: Anaconda 4.x.x (x86_64)”, if that is the case, the go on, otherwise, revise your environment vars as something is not well configured.
At this point, we are using the python provided by Anaconda so let’s execute these commands (note that in some cases, the GNU C/C++ 5.3.0 will be compiled and it takes a while, ~30min on my rig):
Finally, we can download Caffe, I am donwloading it to /usr/local/caffe:
Next step is to configure it, open Makefile.config file with your preferred text editor (vim?) and let’s configure the following vars:
Update 23/August/2016: Instead of providing a partial Makefile.config file, a full copy of this file is attached above.
Give it a try…:
If it compiles fine, you can skip this paragraph, you probably have Xcode 7.0.2 or a lower version which is OK…
but if all you get is this error:
“nvcc fatal : The version (‘70300’) of the host compiler (‘Apple clang’) is not supported”
it means you have the Xcode 7.3 and CUDA still does not support it.
Of course, it has a solution, to install a supported Xcode version and use it for compiling Caffe:
– go to https://developer.apple.com/downloads/ and log in
– download Command Line Tools OS X 10.11 Xcode 7.2 and install it
– now, switch to use this version:
Remember that using:
will configure the default compiler, which, in my case is 7.3.
Let’s try to compile it again:
This time, it should be OK. Now, let’s compile the tests:
Everything went fine? Perfect! At this point, you probably want to run the tests but… they will fail(!). This time the guilty one is Apple and the latest OS X 10.11 “El Capitan” version, apparently it is undocumented but spending some time ‘googling’, I found that other application are failing too as it seems that Apple unset all DYLD_ prefix environment variables when running scripts. I only know one solution:
– to disable System Integrity Protection, which I totally do not recommend to do, or if you do that, revert to SIP on as soon as you check that all the tests were OK.
So, we can discard to run the tests and trust that everything is fine and continue with only a few more steps.
Compiling PyCaffe, which is the python interface to Caffe:
If everything went fine, you are almost there! Add this environment variable to your ~/.bash_profile:
And now the final test:
OS X Yosemite Minimum System Requirements OS X Yosemite Requirements. Here are the system requirements for running Mac OS X Yosemite. For basic installation, with. Free Space and External Drives. If you are upgrading from a previous version of OS X. Ultimately, OS X Yosemite is both free and compatible with all Macs that can run OS X Mountain Lion and OS X Mavericks provided that 2 GB of RAM is installed and sufficient storage space is available. However, as noted above, just because your Mac will run OS X Yosemite does. Os x yosemite system requirements. Oct 10, 2014 To check your OS X version, follow these steps: Click the Apple icon at the top left of your screen. Select “About This Mac.”. Underneath “OS X” is a version number. If you’re running a version of OS X older (lower) than 10.6.7, you’ll need to look into upgrading. Jun 05, 2017 Handoff and Instant Hotspot Supported by the following Mac models: MacBook Air (2012 or newer) MacBook Pro (2012 or newer) iMac (2012 or newer) Mac mini. You also need a minimum of 8GB drive space but again, the minimum space you need is practically 16GB as you need to test the default applications and some of your favorites. Ideally, you should have 50GB to 100GB additional storage to be able to test Yosemite for the complete apps for a beta test environment.
You should get the python prompt and no errors at all which means that your python interface to Caffe is fully working and ready for some cool applications:
Update: if you receive some errors regarding to locale, you just need to add these new environment vars to your famous ~/.bash_profile file:

You are now ready for playing with some examples:

As you can see, it is not an easy task to configure Caffe environment but finally I got it and can test the Automatic Colorization algorithms for automatically converting grey-pictures into fully colored ones, in a few days I will write down a small post with my result.

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Have fun with this great but a bit difficult to configure deep learning framework!!