我的keras.utils.Sequence返回3个数组，我不能把它放在model.fit中

from keras.models import Sequential
from keras.layers import Dense
from keras.utils import Sequence

class MySequence(Sequence):
    def __init__(self, x, y, batch_size):
        self.x = x
        self.y = y
        self.batch_size = batch_size

    def __len__(self):
        return len(self.x) // self.batch_size

    def __getitem__(self, idx):
        batch_x = self.x[idx * self.batch_size:(idx + 1) * self.batch_size]
        batch_y = self.y[idx * self.batch_size:(idx + 1) * self.batch_size]
        return batch_x, batch_y

# 创建模型
model = Sequential()
model.add(Dense(64, activation='relu', input_dim=100))
model.add(Dense(64, activation='relu'))
model.add(Dense(10, activation='softmax'))

# 编译模型
model.compile(loss='categorical_crossentropy',
              optimizer='adam',
              metrics=['accuracy'])

# 创建Sequence实例
sequence = MySequence(x_train, y_train, batch_size=32)

# 使用Sequence实例进行训练
model.fit(sequence, epochs=10)