I tried using tensorflow docker images > 1.5 but they are all failing with error Job Failed, exitCode 132, tensorflow 1.5.0 works fine. I also tried a custom container (tf 1.8) that works on many systems which is built with
--copt=-mavx --copt=-mavx2 --copt=-mfma --copt=-mfpmath=both --copt=-msse4.1 --copt=-msse4.2 and that also fails.
These instructions are normally supported on modern CPUs, especially Xeons. Requiring to use such an old version of tensorflow is not really ideal, any chance these instructions could be enabled? I could rebuild the container without these instructions, but that would be a hassle for every new release.
This github issue describes what I am experiencing: https://github.com/tensorflow/tensorflow/issues/17411