解决tensorflow提示未compiled的问题
https://stackoverflow.com/questions/41293077/how-to-compile-tensorflow-with-sse4-2-and-avx-instructions
I have recently installed it from source and bellow are all the steps needed to install it from source with the mentioned instructions available.
Other answers already describe why those messages are shown. My answer gives a step-by-step on how to isnstall, which may help people struglling on the actual installation as I did.
1。Install Bazel
Download it from one of their available releases, for example 0.5.2. Extract it, go into the directory and configure it: bash ./compile.sh. Copy the executable to /usr/local/bin: sudo cp ./output/bazel /usr/local/bin
2.Install Tensorflow
Clone tensorflow: git clone https://github.com/tensorflow/tensorflow.git Go to the cloned directory to configure it: ./configure
It will prompt you with several questions, bellow I have suggested the response to each of the questions, you can, of course, choose your own responses upon as you prefer:
Using python library path: /usr/local/lib/python2.7/dist-packages
Do you wish to build TensorFlow with MKL support? [y/N] y
MKL support will be enabled for TensorFlow
Do you wish to download MKL LIB from the web? [Y/n] Y
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:
Do you wish to use jemalloc as the malloc implementation? [Y/n] n
jemalloc disabled
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 the XLA just-in-time compiler (experimental)? [y/N] N
No XLA JIT 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 support? [y/N] N
No OpenCL 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 TensorFlow3.The pip package. To build it you have to describe which instructions you want (you know, those Tensorflow informed you are missing).
Build pip script: bazel build -c opt --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-mfpmath=both --copt=-msse4.1 --copt=-msse4.2 -k //tensorflow/tools/pip_package:build_pip_package
Build pip package: bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
Install Tensorflow pip package you just built: sudo pip install /tmp/tensorflow_pkg/tensorflow-1.2.1-cp27-cp27mu-linux_x86_64.whl
Now next time you start up Tensorflow it will not complain anymore about missing instructions.
4. Building with just -c opt --copt=-march=native should be at least as good as --copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-msse4.1 --copt=-msse4.2. (Both will silence the warning, but -march=native might make even faster code by tuning specifically for the CPU on the system you're building on). Also note that --copt=-mavx2 --copt=-mfma implies all the earlier AVX and SSE options, so this long string of options was clearly written by someone that doesn't understand gcc options.