I'm trying to find where the implementation of an actual Conv2D operation is so I can assess memory access patterns. Tracing things around, it looks like execution of a Conv2D operation enters Eigen with a contract() function call. The problem is, I can't seem to find the definition or declaration of the function in either TensorFlow or Eigen source.
What functions are largely responsible for the execution of a Conv2D operation in TensorFlow? I'd like to see how it is paralyzed, what the general memory access pattern is, and how the raw computations are done.
This query is for CPU specifically, as I've already looked into GPU execution to a degree.
After some searching, I found actual implementation of CPU Conv2D is in deep_conv2d.cc.