TypeError:ufunc“add”不包含签名类型与dtype匹配的循环

我想通过考试 X_train_word2vec 矢量作为输入到 Gensim Word2Vec 模型。 numpy.ndarray ,例如:

X_train_word2vec[9] = array([   19,     7,     1, 20120,     2,     1,   856,   233,   671,
       1,  1208,  6016,     2,    32,     0,     0,     0,     0, ....)]

当我运行此代码时:

model_word2vec = models.Word2Vec(X_train_word2vec, size=150, window=9)
model_word2vec.train(X_train_word2vec,total_examples=X_train_word2vec.shape[0], epochs=10)

我得到这个错误:

TypeError: ufunc 'add' did not contain a loop with signature matching types dtype('<U11') dtype('<U11') dtype('<U11')

我读过 this int .

更新: model_Word2Vec :

tokenizer = Tokenizer()
tokenizer.fit_on_texts(X)
sequence = tokenizer.texts_to_sequences(X)

seq_max_len = 50
X_seq = pad_sequences(sequenza, maxlen=seq_max_len,padding='post',truncating='post',dtype=int)

X_train_word2vec, X_test_word2vec, y_train_word2vec, y_test_word2vec = train_test_split(X_seq, y_cat, test_size=0.2, random_state=123)