There’re lots of sparse features/tensors in common Wide and Deep model. For instance, Tensorflow has sparse_tensor implementation.
It’s easy to rewrite and optimize nn part by tvm. However, is there any chance to optimize the sparse embedding part by TVM? Or rewrite it by nnvm api? Thanks!