Ah yes, python36.com. Now that’s not Python 3.6, that’s a domain registered by someone who wanted to hikack some seo juice (joose?).

It looks like they didn’t register python37.com though, which is probably a big deal as Python 3.7 is in beta.

To add on top of the tutorial, it's recommended to compile with AVX, SSE and FMA instructions enabled if you are using a modern Intel chipset. It has a pretty big boost for calculations that needs to be done on the CPU.

The pip version of TF does not come with AVX and FMA for some reason, so this is one of perks from compiling from source

It seems like Tensorflow 1.8 with CUDA 9.2 performs up to 37% faster when compared to earlier versions of Tensorflow as described in the post. (link below) http://www.python36.com/benchmark-tensorflow-on-cifar10/

I've been playing around with a couple DL frameworks recently, so was wondering, what is the performance tradeoff between what you mention and PyTorch? Is it significantly different? Because I enjoy the pyhonic "style" of PyTorch way more than the graph creation/precomputation method of TensorFlow.

sounds like big news

Contains some buzzwords though