Interesting data, thanks! We chose protobuf mainly due to a good caffe adoption story and also the track record of it being compatible with many platforms (mob

Interesting data, thanks! We chose protobuf mainly due to a good caffe adoption story and also the track record of it being compatible with many platforms (mobile, server, embedded, etc). We actually looked at thrift - which is Facebook owned - and it is equally nice, but our final decision was mainly to minimize the switching overhead for existing users such as Caffe and TensorFlow. To be honest, protobuf is indeed a little bit hard to install (especially if you have python and c++ version differences). Would definitely be interested in taking a look at possible solutions - serialization format and the model standard is mor e or less orthogonal, so one may see a world where we can convert different serialization formats (JSON <-> protobuf as an overly simplified example)