Xcode for mac sierra10/10/2023 (10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores ![]() Total amount of global memory: 6144 MBytes (6442254336 bytes) Developer/NVIDIA/CUDA-9.0/samples/bin/x86_64/darwin/release/deviceQueryĬUDA Driver Version / Runtime Version 9.0 / 9.0ĬUDA Capability Major/Minor version number: 6.1 We want to compile some CUDA sample to check if the GPU is correctly recognized and supported. It should be something along the lines of cuda_9.0.176_mac.dmg Set up your env pathsĮdit ~/.bash_profile and add the following: export CUDA_HOME=/usr/local/cudaĮxport DYLD_LIBRARY_PATH=/usr/local/cuda/lib:/usr/local/cuda/extras/CUPTI/libĮxport LD_LIBRARY_PATH=$DYLD_LIBRARY_PATHĮxport PATH=$DYLD_LIBRARY_PATH:$PATH:/Developer/NVIDIA/CUDA-9.0/bin Unpack XCode 8.3.2 and switch the tool chain over to it: sudo xcode-select -s /Applications/Xcode.appĭownload the binary here bash. If you have newer Xcode installed, rename the XCode.app to something like Xcode9.app ![]() You may need a developer account to grab the old version I was able to compile all of it on XCode9, but tensorflow promptly segfaults if you actually try to do anything on the gpu. bazel 0.10.0 (0.12.0 not works in my environment)ĭownload and install from Downgrade to XCode 8.3.2.cuDNN 7.0.5 (latest release for mac os).Mixing homebrew python2/python3 with pip ends up being a mess, so here's an approach to uses the built-in python27. Largely based on the Tensorflow 1.6 gist, this should hopefully simplify things a bit. Tensorflow 1.7 with CUDA on macOS Sierra 10.12.6, Anaconda, and Python 3.6
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