int() argument must be a string, a bytes-like object or a number, not 'NoneType'

[19980715dyy]

tf.keras.preprocessing.sequence.pad_sequences([[1,2],[2,3]], maxlen=20,padding='post') the code above is ok.

but , tf.keras.preprocessing.sequence.pad_sequences(input_tensor, maxlen=20,padding='post') File "/home/student2/software/anaconda3/envs/tf/lib/python3.8/site-packages/keras_preprocessing/sequence.py", line 98, in pad_sequences trunc = np.asarray(trunc, dtype=dtype) TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType' I don't kown why?

type(input_tensor) is list type(input_tensor[0][0]) is int

[19980715dyy]

seq2seq_tensorflow

[19980715dyy]

input_tensor 里面有None值，将None换成其他数值就行了。

但是又出现这个错误output, state = self.gru(x_emb, initial_state=hidden) tensorflow.python.framework.errors_impl.InvalidArgumentError: Exception encountered when calling layer "gru" (type GRU).

[baifachuan]

不是替换的问题，而是tokenizer序列化后再反序列出来有问题，丢失了很多key，不要提前去生成词袋，运行的时候动态生成就行。

[sunyrain]

我也遇到了同样的问题，所以该怎么办呢？

[wenChingzhou]

同问 何解