Mac安裝tensorFlow必須要注意Python跟Bazel版本，而且新版Mac顯卡都是AMD，所以不支援GPU，所以安裝前必須注意下面的軟體需求。
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
$ export PATH="/usr/local/bin:/usr/local/sbin:$PATH"
$ brew install python@3
切換Python版本
$ brew unlink python
安裝3.6.5
$ brew install --ignore-dependencies https://raw.githubusercontent.com/Homebrew/homebrew-core/f2a764ef944b1080be64bd88dca9a1d80130c558/Formula/python.rb
$ brew switch python 3.7.3
$ brew switch python 3.6.5_1
$ pip install -U --user pip six numpy wheel setuptools mock
$ pip install -U --user keras_applications==1.0.6 --no-deps
$ pip install -U --user keras_preprocessing==1.0.5 --no-deps
$ sudo xcode-select -s /Applications/Xcode.app/Contents/Developer
$ sudo xcodebuild -license accept
到https://github.com/bazelbuild/bazel/releases下載0.19.2
$ chmod +x bazel-0.19.2-installer-darwin-x86_64.sh
$ ./bazel-0.19.2-installer-darwin-x86_64.sh
$ git clone https://github.com/tensorflow/tensorflow.git
$ cd tensorflow
$ git checkout r1.9
$ ./configure
WARNING: The following rc files are no longer being read, please transfer their contents or import their path into one of the standard rc files:
/Users/yangyan-ling/tensorflow/tools/bazel.rc
WARNING: --batch mode is deprecated. Please instead explicitly shut down your Bazel server using the command "bazel shutdown".
You have bazel 0.19.2 installed.
Please specify the location of python. [Default is /usr/local/opt/python@2/bin/python2.7]: /usr/local/bin/python3
(配合利用Homebrew安裝的RDKit其python3呼叫位址)
Found possible Python library paths:
/usr/local/Cellar/python/3.6.5_1/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages
Please input the desired Python library path to use. Default is [/usr/local/Cellar/python/3.6.5_1/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages]
Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]: n
No Google Cloud Platform support will be enabled for TensorFlow.
Do you wish to build TensorFlow with Hadoop File System support? [Y/n]: n
No Hadoop File System support will be enabled for TensorFlow.
Do you wish to build TensorFlow with Amazon S3 File System support? [Y/n]: n
No Amazon S3 File System support will be enabled for TensorFlow.
Do you wish to build TensorFlow with Apache Kafka Platform support? [Y/n]: n
No Apache Kafka Platform support will be enabled for TensorFlow.
Do you wish to build TensorFlow with XLA JIT support? [y/N]: n
No XLA JIT support will be enabled for TensorFlow.
Do you wish to build TensorFlow with GDR support? [y/N]: n
No GDR support will be enabled for TensorFlow.
Do you wish to build TensorFlow with VERBS support? [y/N]: n
No VERBS support will be enabled for TensorFlow.
Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: n
No OpenCL SYCL support will be enabled for TensorFlow.
Do you wish to build TensorFlow with CUDA support? [y/N]: n
No CUDA support will be enabled for TensorFlow.
Do you wish to download a fresh release of clang? (Experimental) [y/N]: n
Clang will not be downloaded.
Do you wish to build TensorFlow with MPI support? [y/N]: n
No MPI support will be enabled for TensorFlow.
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:
Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: n
Not configuring the WORKSPACE for Android builds.
Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See tools/bazel.rc for more details.
--config=mkl # Build with MKL support.
--config=monolithic # Config for mostly static monolithic build.
Configuration finished
$ pip install enum34
$ pip uninstall enum
$ bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package
執行完會在/tmp/tensorflow_pkg產生tensorflow-1.9.0-cp36-cp36m-macosx_10_13_x86_64.whl
$ ./bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
$ pip install /tmp/tensorflow_pkg/tensorflow-1.9.0-cp36-cp36m-macosx_10_13_x86_64.whl
參考
https://www.tensorflow.org/install/source
$ brew install hdf5
$ brew install graphviz
$ sudo pip3 install pydot
$ sudo pip3 install keras
參考
https://keras.io/#installation
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