python - TensorFlow wasn't compiled to use SSE (etc.) instructions, but these are available

Question

I am running TensorFlow for the first time using some example code. I got the following warnings when running my code. Does anybody know why this happened, and how to fix it?

2017-03-31 02:12:59.346109: W c:f_jenkinshomeworkspace
elease-windevicecpuoswindowsensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations.
2017-03-31 02:12:59.346968: W c:f_jenkinshomeworkspace
elease-windevicecpuoswindowsensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations.
2017-03-31 02:12:59.346975: W c:f_jenkinshomeworkspace
elease-windevicecpuoswindowsensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow libbrary wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
2017-03-31 02:12:59.346979: W c:f_jenkinshomeworkspace
elease-windevicecpuoswindowsensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-03-31 02:12:59.346983: W c:f_jenkinshomeworkspace
elease-windevicecpuoswindowsensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-03-31 02:12:59.346987: W c:f_jenkinshomeworkspace
elease-windevicecpuoswindowsensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-03-31 02:12:59.346991: W c:f_jenkinshomeworkspace
elease-windevicecpuoswindowsensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-03-31 02:12:59.346995: W c:f_jenkinshomeworkspace
elease-windevicecpuoswindowsensorflowcoreplatformcpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.

Answer 1

Those are warnings (as indicated by the W after the colon. Errors have an E there).

The warnings refer to the fact that your CPU supports SSE Instructions, which allow some fast in-hardware-parallel operations. Enabling these operations is a compile-time operation (i.e. to use SSE you need to build the library from the source enabling the specific SSE version you're targeting), in which case you might take a look at this question.

Note, however, that SSE support influences only the computation speed. Tensorflow will work with or without SSE, but it might take longer for your code to run. Note, also, that this influences only the CPU. If you're using the GPU build of Tensorflow, all the operations run on the GPU will not benefit of SSE instructions.