def skipgram_fasttext_batch(centers, contexts, num_tokens, subword_lookup,<EOL>dtype, index_dtype):
contexts = mx.nd.array(contexts[<NUM_LIT:2>], dtype=index_dtype)<EOL>data, row, col = subword_lookup(centers)<EOL>centers = mx.nd.array(centers, dtype=index_dtype)<EOL>centers_csr = mx.nd.sparse.csr_matrix(<EOL>(data, (row, col)), dtype=dtype,<EOL>shape=(len(centers), num_tokens))  <EOL>return centers_csr, contexts, centers<EOL>
Create a batch for SG training objective with subwords.