I'm really eager to start using Google's new Tensorflow library in C++. The website and docs are just really unclear in terms of how to build the project's C++ API and I don't know where to start.
Can someone with more experience help by discovering and sharing a guide to using tensorflow's C++ API?
The C++ API (and the backend of the system) is in
tensorflow/core. Right now, only the C++ Session interface, and the C API are being supported. You can use either of these to execute TensorFlow graphs that have been built using the Python API and serialized to a
GraphDef protocol buffer. There is also an experimental feature for building graphs in C++, but this is currently not quite as full-featured as the Python API (e.g. no support for auto-differentiation at present). You can see an example program that builds a small graph in C++ here.
The second part of the C++ API is the API for adding a new
OpKernel, which is the class containing implementations of numerical kernels for CPU and GPU. There are numerous examples of how to build these in
tensorflow/core/kernels, as well as a tutorial for adding a new op in C++.