def hybrid_forward(self, F, words, weight):
<EOL>embeddings = F.sparse.dot(words, weight)<EOL>return embeddings<EOL>
Compute embedding of words in batch.

        Parameters
        ----------
        words : mxnet.ndarray.sparse.CSRNDArray
            Sparse array containing weights for every word and subword index.
            Output is the weighted sum of word and subword embeddings.