add printer

doc_similarity/answer_similarity.py

@@ -50,6 +50,7 @@ if __name__ == "__main__":
 
     answer_ids = np.array(list(embedding_dict.keys())).astype("int")
     answer_embeddings = np.array(list(embedding_dict.values())).astype("float32")
+    print(answer_embeddings.shape)
 
     index = faiss.IndexFlatL2(answer_embeddings.shape[1])
     print("trained: " + str(index.is_trained))