AttributeError: у объекта 'NoneType' нет атрибута '_inbound_nodes' в Keras - PullRequest
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AttributeError: у объекта 'NoneType' нет атрибута '_inbound_nodes' в Keras

0 голосов
/ 05 мая 2019

Я хочу определить свою собственную модель Lstm следующим образом: 

from keras import backend as K
from keras.callbacks import ModelCheckpoint
from keras.layers.core import Dense, Activation, Flatten, Dropout
from keras.layers import Input,Concatenate, Average, Maximum
from keras.layers.normalization import BatchNormalization
from keras.layers import LSTM, Bidirectional
from keras.models import Model
from keras.optimizers import Adam

class LSTMModel(object):

    def __init__(self, config):
        self.num_batch = config['num_batch']
        self.maxlen = config['maxlen']
        self.embedding_dims = config['embedding_dims']
        self.lstm_dims = config['lstm_dims']
        self.hidden_dims = config['hidden_dims']
        self.epochs = config['epochs']
        self.classes = config['classes']
        self.optimizer = config['optimizer']

    def load_data(self):
        (X_train, y_train), (X_test, y_test) = \
            imdb.load_data(num_words=self.max_features, seed=11)

        X_train = sequence.pad_sequences(X_train, maxlen=self.maxlen)
        X_test = sequence.pad_sequences(X_test, maxlen=self.maxlen)

        return (X_train, y_train), (X_test, y_test)

    def build_model(self, loss, P=None):

        input = Input(shape=(self.maxlen , self.embedding_dims))

        rnn_outputs, forward_h, forward_c, backward_h, backward_c  =\
        Bidirectional(LSTM(self.lstm_dims, return_sequences = True, return_state = True,
                           kernel_initializer='uniform'))(input)
        avg_pool = K.mean(rnn_outputs, axis = 1)
        max_pool = K.max(rnn_outputs, axis = 1)
        print(avg_pool)
        print(max_pool)
        x = Concatenate()([avg_pool, max_pool])
        print(x)
        #Add a dense layer
        x = Dense(self.hidden_dims, kernel_initializer = 'he_normal')(x)
        x = Activation('relu')(x)
        x = BatchNormalization(momentum = 0.5)(x)
        x = Dropout(0.5)(x)

        output = Dense(self.classes, kernel_initializer = 'he_normal')(x)

        if loss in yes_bound:
            output = BatchNormalization(axis=1)(output)

        if loss in yes_softmax:
            output = Activation('softmax')(output)

        model = Model(inputs=input, outputs=output)
        self.compile(model, loss, P)


if __name__ == "__main__":

    config = {
        "maxlen": 100,
        "embedding_dims": 31,
        "lstm_dims":20,
        "hidden_dims": 80,
        "classes": 21,
        "epochs": 50,
        "num_batch": 24,
        "optimizer": None
    }

    model = LSTMModel(config)
    model.build_model('crossentropy')

Однако я встречаю ошибку: 

AttributeError: 'NoneType' object has no attribute '_inbound_nodes'

Подробная информация выглядит следующим образом: 

  File "F:\models.py", line 169, in build_model
    model = Model(inputs=input, outputs=output)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 93, in __init__
    self._init_graph_network(*args, **kwargs)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 237, in _init_graph_network
    self.inputs, self.outputs)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1353, in _map_graph_network
    tensor_index=tensor_index)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1340, in build_map
    node_index, tensor_index)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1340, in build_map
    node_index, tensor_index)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1340, in build_map
    node_index, tensor_index)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1340, in build_map
    node_index, tensor_index)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1340, in build_map
    node_index, tensor_index)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1340, in build_map
    node_index, tensor_index)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1340, in build_map
    node_index, tensor_index)

  File "E:\SoftwareInstall\anaconda3.5.2.0\lib\site-packages\keras\engine\network.py", line 1312, in build_map
    node = layer._inbound_nodes[node_index]

AttributeError: 'NoneType' object has no attribute '_inbound_nodes'

1 Ответ

2 голосов
/ 05 мая 2019

Вы должны использовать keras.layers.Lambda, чтобы обернуть K.* операции как слой вместо K.* функции напрямую. 

# change
avg_pool = K.mean(rnn_outputs, axis = 1)
max_pool = K.max(rnn_outputs, axis = 1)
# to
avg_pool = Lambda(lambda x:K.mean(x,axis=1))(rnn_outputs)
max_pool = Lambda(lambda x:K.max(x,axis=1))(rnn_outputs)
...