AttributeError: module 'keras.preprocessing.sequence' has no attribute 'pad_sequences'

Question

在Keras中准备imdb数据时报错AttributeError: module 'keras.preprocessing.sequence' has no attribute 'pad_sequences'

from keras.datasets import imdb
from keras.preprocessing import sequence

max_features = 10000
maxlen = 500
batch_size = 32

print('Lodaing data...')
(input_train, y_train), (input_test, y_test) = imdb.load_data(num_words=max_features)
print(len(input_train), 'train sequences')
print(len(input_test), 'test sequences')

print('Pad sequences (sample x time)')
input_train = sequence.pad_sequences(input_train, maxlen=maxlen)
input_test = sequence.pad_sequences(input_test, maxlen=maxlen)
print('input_train shape:', input_train.shape)
print('input_test shape:', input_test.shape)

运行结果如下：

Lodaing data...
25000 train sequences
25000 test sequences
Pad sequences (sample x time)
Traceback (most recent call last):
  File "D:\Projects\LSTM\LSTM1\dataset.py", line 15, in <module>
    input_train = sequence.pad_sequences(input_train, maxlen=maxlen)
AttributeError: module 'keras.preprocessing.sequence' has no attribute 'pad_sequences'

重新安装过keras还是有这个问题，我的Keras版本是2.9.0，tensorflow的版本是2.9.1

Answer 1

几种解决方法
1.keras2.9.0没这个方法了，要达到相同效果就用TextVectorization，具体用法查下官方文档就知道
2.把keras降级到2.3.1，pad_sequence是支持的，但tensorflow也要降级到2.2以下左右。
3.自己手写pad_sequence，这个函数并不难，无非超过最大长度截取到最大长度，没到最大长度的以当前batch的最大长度为最大长度补0
tensorflow项目组老是把简单的变复杂，pytorch的流行是有原因的