Tensorflow compilation error with latest tensorflow source on MacOS - tensorflow

Question

I am trying to build the tensorflow source on my Mac OSx Yosemite (10.10.5). After I run this command
bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package
I get this error
C++ compilation of rule '//tensorflow/core:candidate_sampling_ops_op_lib' failed: cc_wrapper.sh failed: error executing command external/local_config_cc/cc_wrapper.sh -U_FORTIFY_SOURCE -fstack-protector -Wall -Wthread-safety -Wself-assign -fcolor-diagnostics -fno-omit-frame-pointer -g0 -O2 '-D_FORTIFY_SOURCE=1' -DNDEBUG ... (remaining 95 argument(s) skipped): com.google.devtools.build.lib.shell.BadExitStatusException: Process exited with status 1.
tensorflow/core/ops/candidate_sampling_ops.cc:392:7: error: return type 'tensorflow::Status' must match previous return type 'const ::tensorflow::Status' when lambda expression has unspecified explicit return type
return Status::OK();
^
tensorflow/core/ops/candidate_sampling_ops.cc:376:17: error: no viable conversion from 'tensorflow::(lambda at tensorflow/core/ops/candidate_sampling_ops.cc:376:17)' to 'tensorflow::Status (*)(shape_inference::InferenceContext )'
.SetShapeFn([](InferenceContext c) {
What may I be doing wrong ?

Answer 1

(outdated but still relevant for this version of TF)
The latest version of tensorflow is NOT compileable/working for mac os x.
Here is my script to get tensorflow working on mac-osx sierra tensorflow 1.0 on mac-osx sierra i7 no gpu. I'm still working on getting SSE and such to compile correctly and a later version of tensorflow - but whatever. Tensorflow is not friently with macs - but DL4J is!
UPDATE:
You shouldn't need to update from Yosemite. I was able to get r1.3 to compile with SSE and AVX! So the 'latest release' at time of writing has known issues - r1.3 is the latest stable build. I've included the script to do a proper build below, but also including http://www.josephmiguel.com/building-tensorflow-1-3-from-source-on-mac-osx-sierra-macbook-pro-i7-with-sse-and-avx/ for all the details on the matter.
one time install
install anaconda3 pkg # manually download this and install the package
conda update conda
conda create -n dl python=3.6 anaconda
source activate dl
cd /
brew install bazel
pip install six numpy wheel
pip install –upgrade https://storage.googleapis.com/tensorflow/mac/cpu/protobuf-3.1.0-cp35-none-macosx_10_11_x86_64.whl
sudo -i
cd /
rm -rf tensorflow # if rerunning the script
cd /
git clone https://github.com/tensorflow/tensorflow
Step 1
cd /tensorflow
git checkout r1.3 -f
cd /
chmod -R 777 tensorflow
cd /tensorflow
./configure # accept all default settings
Step 2
// https://stackoverflow.com/questions/41293077/how-to-compile-tensorflow-with-sse4-2-and-avx-instructions
bazel build –config=opt –copt=-mavx –copt=-mavx2 –copt=-mfma //tensorflow/tools/pip_package:build_pip_package
Step 3
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
pip install /tmp/tensorflow_pkg/tensorflow-1.0.1-cp36-cp36m-macosx_10_7_x86_64.whl
Step 4
cd ~
ipython
Step 5
import tensorflow as tf
hello = tf.constant(‘Hello, TensorFlow!’)
sess = tf.Session()
print(sess.run(hello))
Step 6
pip uninstall /tmp/tensorflow_pkg/tensorflow-1.0.1-cp36-cp36m-macosx_10_7_x86_64.whl