Deep learning ';张量';对象没有属性'_keras#u历史';使用labda后仍然不';行不通

Deep learning ';张量';对象没有属性'_keras#u历史';使用labda后仍然不';行不通,deep-learning,keras,Deep Learning,Keras,我想用keras建立一个cnn模型,但是我发现了一个错误,“Tensor”对象没有属性“\u keras\u history”,我测试了lambda,但它不起作用,所以我不知道该怎么办,我希望有人能帮我,非常感谢 input_shape = Input(shape=(1,128,6)) a = input_shape[:,:,:,0:3] b = input_shape[:,:,:,3:] x1 = Conv2D(6,(1,1),activation='relu',padding='same

我想用keras建立一个cnn模型,但是我发现了一个错误,“Tensor”对象没有属性“\u keras\u history”,我测试了lambda,但它不起作用,所以我不知道该怎么办,我希望有人能帮我,非常感谢

input_shape = Input(shape=(1,128,6))  
a = input_shape[:,:,:,0:3]
b = input_shape[:,:,:,3:]
x1 = Conv2D(6,(1,1),activation='relu',padding='same')(a)

my_concat = Lambda(lambda  x:keras.layers.concatenate([x[0],x[1]],axis=-1))
x2 = my_concat([input_shape,x1])

x3 = Conv2D(6,(1,1),activation='relu',padding='same')(b)
x = my_concat([x2,x3])

x=Conv2D(40, kernel_size=(1,7),padding='valid',
                 activation='relu',kernel_initializer='glorot_uniform',)(x)

x = MaxPooling2D(pool_size=(1, 2))(x)

x = Dropout(0.8)(x)
x = Flatten()(x)

output = Dense(num_classes, activation='softmax',kernel_initializer='glorot_uniform',)(x)
adam = keras.optimizers.Adam(lr=0.0001, beta_1=0.9, beta_2=0.999, epsilon=1e-08)

model = Model(inputs=input_shape,outputs=output)
model.summary()
model.compile(loss=keras.losses.categorical_crossentropy,                        
              optimizer=adam,metrics=['accuracy'])
>回溯(最近一次调用last):文件“testdata.py”,第151行,在
> 
>model=model(inputs=input\u shape,outputs=output)文件“/home/percomp/.local/lib/python3.5/site packages/keras/legacy/interfaces.py”,
>第91行,在包装器中
>返回func(*args,**kwargs)文件“/home/percomp/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1734行,在_init中__
>构建图(x,已完成的节点,正在进行的节点)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”的图,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1724行,图的内置图
>层、节点索引、张量索引)文件“/home/percop/.local/lib/python3.5/site packages/keras/engine/topology.py”,
>第1695行,图的内置图
>层,节点索引,张量索引=张量。历史属性错误:“张量”对象没有属性“\u keras\u历史”

您是否尝试过keras在keras中提供的Concatenate()函数? 像这样的
keras.layers.Concatenate(axis=-1)
它已经在我的模型中起作用了

> traceback (most recent call last):   File "testdata.py", line 151, in
> <module>
>     model = Model(inputs=input_shape,outputs=output)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/legacy/interfaces.py",
> line 91, in wrapper
>     return func(*args, **kwargs)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1734, in __init__
>     build_map_of_graph(x, finished_nodes, nodes_in_progress)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1724, in build_map_of_graph
>     layer, node_index, tensor_index)   File "/home/percomp/.local/lib/python3.5/site-packages/keras/engine/topology.py",
> line 1695, in build_map_of_graph
>     layer, node_index, tensor_index = tensor._keras_history AttributeError: 'Tensor' object has no attribute '_keras_history'