These instructions were inspired by Mistobaan's gist, ageitgey's gist, and mattiasarro's tutorial, and Philster's gist
This will compile TF itself, and also output a script to generate a Python package. Be warned, this will take a while! Well over an hour, probably more like two. I didn’t time it exactly. On some platforms you need to add -copt=-mfpmath=both to the set of flags above, but recent versions of clang provided with macOS don’t need this, and will barf if you do. You can run the app on the iPhone Simulator or on a device. On the simulator you may again get messages such as “The TensorFlow library wasn’t compiled to use SSE4.1 instructions”, but you shouldn’t get these on the device. Just for testing purposes, the app will make two predictions: once for a male example and once for a female example.
I always encountered the following warnings when running my scripts using the precompiled TensorFlow Python package:
Dec 11, 2012 Open a new window in the Finder and select Go menu - Home to go to your home folder. Then proceed to look in Library/Application Support/Microsoft/User Templates/My Templates. So altho hard drive has a library, it doesn't have the path listed above. Application support library mac. Jan 12, 2020 Launch Terminal, located in /Applications/Utilities. Enter the following command at the Terminal prompt: Press Return. Once the command executes, you can quit Terminal. The Library folder will now be visible in the Finder. Should you ever wish to set the Library folder. Access Hidden Library Menu Option On Mac. Follow the steps below to access the Hidden Library Menu option on your Mac. Left-click your mouse anywhere on the screen of your Mac. This will reveal the Go Option in the top menu bar of your Mac. You can also click on the Finder Icon in the Dock of your Mac to activate the Go Option.
I realized I can make these warnings go away by compiling from source, in addition to improve training speed. It was not as easy and straightforward as I thought, but I finally succeeded in creating a working build. Here I outline the steps I took, in the hopes it may benefit those who have encountered similar challenges.
I tested on macOS High Sierra 10.13. It may also work on Yosemite (10.10) and El Capitan (10.11), but I have not verified.
I successfully compiled using Xcode 9.4.1 (Refer to http://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html#system-requirements).
For some reason I had to disable SIP in order for bazel build
to build the TensorFlow pip package successfully. For security reasons, remember to re-enable SIP after your build.
Note: Many steps were based on https://www.tensorflow.org/install/install_sources ; I just happened to have a slightly different order that worked out for me.
six
numpy
1.13
so you don't get a ModuleNotFoundError: No module named 'numpy.lib.mixins'
error later on during bazel build
wheel
r1.9.0
releaseconfigure
settings (Enter N
for CUDA support if you do not want CUDA support or do not have a NVIDIA GPU):linkopts = ['-lgomp'],
(line 112) in tensorflow/third_party/gpus/cuda/BUILD.tpl
(Refer to https://medium.com/@mattias.arro/installing-tensorflow-1-2-from-sources-with-gpu-support-on-macos-4f2c5cab8186)tensorflow
subdirectory from which you ran ./configure
Have fun training your models!
These instructions were inspired by Mistobaan's gist, ageitgey's gist, and mattiasarro's tutorial.
I always encountered the following warnings when running my scripts using the precompiled TensorFlow Python package:
I realized I can make these warnings go away by compiling from source, in addition to improve training speed. It was not as easy and straightforward as I thought, but I finally succeeded in creating a working build. Here I outline the steps I took, in the hopes it may benefit those who have encountered similar challenges.
I tested on macOS Sierra 10.12. It may also work on Yosemite (10.10) and El Capitan (10.11), but I have not verified.
I successfully compiled using Xcode 8.2.1 (Refer to http://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html#system-requirements).
For some reason I had to disable SIP in order for bazel build
to build the TensorFlow pip package successfully. For security reasons, remember to re-enable SIP after your build.
Note: Many steps were based on https://www.tensorflow.org/install/install_sources ; I just happened to have a slightly different order that worked out for me.
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six
numpy
1.13
so you don't get a ModuleNotFoundError: No module named 'numpy.lib.mixins'
error later on during bazel build
wheel
DYLD_LIBRARY_PATH
r1.3
releaseconfigure
settings (Enter N
for CUDA support if you do not want CUDA support or do not have a NVIDIA GPU):linkopts = ['-lgomp'],
(line 112) in tensorflow/third_party/gpus/cuda/BUILD.tpl
(Refer to https://medium.com/@mattias.arro/installing-tensorflow-1-2-from-sources-with-gpu-support-on-macos-4f2c5cab8186)tensorflow
subdirectory from which you ran ./configure
Have fun training your models!