[marcinzm]

Tensorflow works really well in theory. In practice a lot less so. I saw someone spend months fighting Tensorflow to convert a production model from CPU to GPU inference with any sort of efficiency. Tons of issues due to bugs across versions, deprecations of features across versions, the graph optimizer shuffling data back to the CPU for no decent reason, etc. The person had no idea what was happening or why most of the time due to how black box Tensorflow was. This was a very senior ML engineer with a lot of Tensorflow experience.