When you run tf.Session() in the above validation example you might be getting this. I just used the tf for p圓6 to overcome this.Ģ-" tensorflow/core/platform/cpu_feature_:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA" Maybe the tf compiled for p圓.5 has a bug? I don't really know. And I couldnt find the real source with the p圓.5 instead on macports. ![]() $port search python # for example, allows you search the macport repository (aka port tree) for software that is related to python.ġ-At first I tried this whole thing with p圓.5 but I quickly noticed that the tensorflow that was packaged as p圓.5 version on macports was actually a p圓6 and named wrongly. $port version # tells you which version of macports you have (If you want to see all default locations and hierarchy: ) This is not a user specific location, it is shared by all users, so in order to make modifications here, you need to be a superuser. An important thing to remember is macports will base all its installations under " /opt/local " by default. I double click and install without touching any default locations. ![]() Ok I am on Mac os x el capitan (10.11) so the first thing is downloading the right package for this system. ![]() (Apple's own package manager/repository could have served for this purpose but perhaps they didn't see any value in software they cannot sell, who knows.) It works as command line, and uses a well-contained local address for all the installations it makes, which is great, does not mess up with other builds on the machine. Macports is an easy to use package manager for installing open source software on Mac OS, allows easy download and install, and I like that.
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