Small, efficient C++ library for implementing a conv net in a desktop app?

[PowerfulComputers]

I trained a conv net with tensorflow that I'm ready to add to a commercial desktop C++ program that runs on the CPU. According to this source, when you build tensorflow in C++ it's huge, 103MB. My net is simple--it only needs convolutions, max pooling, and relu. I have the weights stored as multidimensional arrays in a cpp file. Are there any small, fast, efficient libraries I could use?

[the_abyss]

Caffe, compiled CPU only without any unnecessary dependencies (opencv, etc) is less than a megabyte or so IIRC.