python3 keras获取GRU的每一个时刻的输出,，切分GRU的输出示例

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1. keras的GRU很好用，return_sequences,False 返回单个， true 返回全部time step 的 hidden state值。

2. 但是keras的time step是根据输入决定的，这里我们在处理的时候，可能就需要分割以下某一层的数据，然后输入到后面的不同的层中，但是我们在对tensor操作的时候，会产生很多莫名其妙的错误，这里我写一个跟别人写的示例代码，分享给大家：

from keras.models import Model
from keras.layers import Input, Dropout, TimeDistributed, Masking, Dense, Lambda
from keras.layers import BatchNormalization, Embedding, Activation, Reshape,Permute,Bidirectional
from keras.layers.merge import Add,Dot
from keras.layers.recurrent import LSTM, GRU
from keras import backend as K
import tensorflow as tf



image_input = Input(shape=(20, 2048), name='image')
recurrent_network = GRU(units=10,return_sequences=True,
                                    name='recurrent_network')(image_input)

new_inpu=recurrent_network
splits = Lambda(lambda x: tf.split(x, num_or_size_splits=20, axis=1))(new_inpu)
print(splits[0])

list_recur=[]
for i in range(20):
    
    # x = new_inpu[:, i, :]   # AttributeError: 'NoneType' object has no attribute '_inbound_nodes'
    # print(x.shape)
    # x= K.reshape(x,(1,10,)) 
    # x= K.expand_dims(x,axis=-1) 
    # x=Lambda(lambda x: K.expand_dims(x, axis=-1))(x)
    x=Reshape((1,10))(splits[i])
    print(x)
    # x=Permute((2, 1))(x)
    # print(x)
    recurrent_network = GRU(units=10,return_sequences=True,
                                    name='recurrent_network{}'.format(i))(x)
    # print(recurrent_network)
    list_recur.append(recurrent_network)

decoder_outputs = Lambda(lambda x: K.concatenate(x, axis=1))(list_recur)

# recurrent_network = GRU(units=10,return_sequences=True,
#                                     name='recurrent_network')(image_input)
# print(decoder_outputs)
# output = TimeDistributed(Dense(units=20,
#                                     activation='softmax'),
#                                     name='output')(decoder_outputs)


model = Model(inputs=image_input, outputs=decoder_outputs)

print(model.summary()

参考文献

[1].Keras Multi-inputs AttributeError: 'NoneType' object has no attribute 'inbound_nodes'.https://stackoverflow.com/questions/44627977/keras-multi-inputs-attributeerror-nonetype-object-has-no-attribute-inbound-n%EF%BC%89%EF%BC%8C

[2].理解LSTM在keras API中参数return_sequences和return_state. https://blog.csdn.net/u011327333/article/details/78501054

[3].tf.split.https://www.tensorflow.org/api_docs/python/tf/split

[4].Are there slice layer and split layer in Keras?.https://github.com/keras-team/keras/issues/890