TypeError: while_loop() got an unexpected keyword argument 'maximum

TypeError: while_loop() got an unexpected keyword argument 'maximum_iterations'

转载自：https://blog.csdn.net/zyh2004883/article/details/84337872

错误:

TypeError: while_loop() got an unexpected keyword argument ‘maximum_iterations’

参照https://blog.csdn.net/qq_27009517/article/details/83275846

重新安装keras

因为我的CUDA版本为CUDA8.0，所以tensorflow版本有限制，只能用1.4.0以下的版本

所以tensorflow-gpu=1.4.0

之前keras版本太高了，所以才会报以上错误

更新keras版本后，错误解决

pip install keras==2.1.2

# -*- coding: utf-8 -*- 
# @Time : 2019/7/1 8:17 
# @Author : ZXL 
# @Site :  
# @File : many_input_API.py 
# @Software: PyCharm
from keras.models import Model
from keras import layers
from keras import Input
text_vocabulary_size = 10000
question_vocabulary_size = 10000
answer_vocabulary_size = 500
text_input = Input(shape=(None,), dtype='int32', name='text')
embedded_text = layers.Embedding(64, text_vocabulary_size)(text_input)
encoded_text = layers.LSTM(32)(embedded_text)
question_input = Input(shape=(None,),dtype='int32',name='question')
embedded_question = layers.Embedding(32, question_vocabulary_size)(question_input)
encoded_question = layers.LSTM(16)(embedded_question)
concatenated = layers.concatenate([encoded_text, encoded_question],axis=-1)#两个输入处理结果联系起来
answer = layers.Dense(answer_vocabulary_size,activation='softmax')(concatenated)
model = Model([text_input, question_input], answer)#模型声明
model.compile(optimizer='rmsprop',loss='categorical_crossentropy',metrics=['acc'])#compile阶段
model.summary()