```python
#def create_batch_dataset(X, y, train=True, buffer_size=30, batch_size=8):
batch_data = tf.data.Dataset.from_tensor_slices((tf.constant(X), tf.constant(y))) # 数据封装,tensor类型
if train: # 训练集
return batch_data.cache().shuffle(buffer_size).batch(batch_size)
else: # 测试集
return batch_data.batch(batch_size)
# 训练批数据
```train_batch_dataset = create_batch_dataset(train_dataset, train_labels)
list(test_batch_dataset.as_numpy_iterator())[0]
#出现以下错误
#AttributeError: 'BatchDataset' object has no attribute 'as_numpy_iterator'