embedding

In this stackoverflow post it's explained how to add arbitrary fields to a golang struct by using it as an anonymous. This works fine if you are working with known struct types, but I'm wondering how to do the same thing when dealing with an unknown struct or interface. I wrote the following example to demonstrate: package main import ( "os" "encoding/json" "fmt" ) type example interface{} type Data struct { Name string } func printInterface(val interface{}) { example1 := struct { example Extra string }{ example: val, Extra: "text", } json.NewEncoder(os.Stdout).Encode(example1) } func

Say, if I have two SparseTensor s as following: [[1, 0, 0, 0], [2, 0, 0, 0], [1, 2, 0, 0]] and [[1.0, 0, 0, 0], [1.0, 0, 0, 0], [0.3, 0.7, 0, 0]] and I want to extract the first two rows out of them. I need both indices and values of non-zeros entries as SparseTensor s so that I can pass the result to tf.nn.embedding_lookup_sparse . How can I do this? My application is: I want to use word embeddings, which is quite straight forward in TensorFlow. But now I want to use sparse embeddings, i.e.: for common words, they have their own embeddings. For rare words, their embeddings are a sparse linear