- HOW TO DOWNGRADE MAC OS HIGH SIERRA TO 10.13.4 HOW TO
- HOW TO DOWNGRADE MAC OS HIGH SIERRA TO 10.13.4 INSTALL
- HOW TO DOWNGRADE MAC OS HIGH SIERRA TO 10.13.4 DRIVER
- HOW TO DOWNGRADE MAC OS HIGH SIERRA TO 10.13.4 DOWNLOAD
Unfortunately, with the repo untouched, it will fail to build. $ sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib/libcudnn*Ĭlone TensorFlow from Repository $ cd ~/temp $ sudo cp cuda/lib/libcudnn* /usr/local/cuda/lib $ sudo cp cuda/include/cudnn.h /usr/local/cuda/include
HOW TO DOWNGRADE MAC OS HIGH SIERRA TO 10.13.4 DOWNLOAD
Supports MultiDevice Co-op Kernel Launch: Noĭevice PCI Domain ID / Bus ID / location ID: 0 / 195 / 0Ĭhange into your download directory and follow the post installation steps. Support host page-locked memory mapping: Yesĭevice supports Unified Addressing (UVA): Yes Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)Ĭoncurrent copy and kernel execution: Yes with 2 copy engine(s) Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Maximum number of threads per block: 1024 Maximum number of threads per multiprocessor: 2048 Total number of registers available per block: 65536 Total amount of shared memory per block: 49152 bytes Total amount of constant memory: 65536 bytes Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers (10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores Total amount of global memory: 6144 MBytes (6442254336 bytes)
HOW TO DOWNGRADE MAC OS HIGH SIERRA TO 10.13.4 DRIVER
$ ~/temp/cuda_samples/bin/x86_64/darwin/release/deviceQueryĬUDA Driver Version / Runtime Version 9.1 / 9.1ĬUDA Capability Major/Minor version number: 6.1 $ cp -R /Developer/NVIDIA/CUDA-9.1/samples ~/temp/cuda_samples We want to compile some CUDA sample to check if the GPU is correctly recognized and supported. Let`s quick check if the driver is loaded.
HOW TO DOWNGRADE MAC OS HIGH SIERRA TO 10.13.4 INSTALL
Install CUDA Toolkit 9.1 with Cuda DriversĮxport PATH=/usr/local/cuda/bin:/Developer/NVIDIA/CUDA-9.1/bin$Įxport DYLD_LIBRARY_PATH=/usr/local/cuda/lib:/Developer/NVIDIA/CUDA-9.1/lib $ sudo xcode-select -switch /Library/Developer/CommandLineTools $ sudo mv /Library/Developer/CommandLineTools /Library/Developer/CommandLineTools_backup You can download the older version 8.3.2 directly from the Apple Developer Portal or from Xcode itself Xcode -> Support -> Apple Developer. bazel-0.8.1-installer-darwin-x86_64.shĭowngrading Command-Line-Tools to Version 8.3.2īecause we need an older version of clang, unfortunately, we have to downgrade to an older version of the Apple Command-Line-Tools. If command -v pyenv 1>/dev/null 2>&1 thenĭo not install bazel with Homebrew $ mkdir ~/temp & cd ~/temp On top of that, I will use pyenv-virtualenv to create a virtual environment for the custom build. I recommend using pyenv for installing Python. $ /usr/bin/ruby -e "$(curl -fsSL )" Python 3.6 If not also available, this installation process will also install the latest Apple Command-Line-Tools Boot again an check if the GPU is available within the System-Profiler. MacOS High Sierra Version 10.13.3 (17D47) nvidia-egpu-v7.zipĭid the Mac boot gracefully? Great! Now it is time to shut down your Mac and attach your eGPU enclosure. MacOS High Sierra Version 10.13.3 (17D102) nvidia-egpu-v7.zip So again, depending on your macOS build version, you will need to pick the correct file and install it. Here you can boot into recovery mode and delete the following file /Library/Extensions/NVDAEGPUSupport.kext
HOW TO DOWNGRADE MAC OS HIGH SIERRA TO 10.13.4 HOW TO
How to compile TensorFlow 1.6-rc1 on macOS High Sierra 10.13.3 with GPU acceleration and optionally eGPU support.Ĭaution - you have to disable SIP (System Integrity Protection)įirst, check your macOS build version.