與keras 2.0的UnboundLocalError

Question

我似乎有更新的keras版本的問題。這個神經網絡結構導致此錯誤：

print "Data-train-in: " + str(data_train_input[0].shape) 
     print "Data-train-out: " + str(data_train_output[0].shape) 
     print "Data-test-in: " + str(data_test_input[0].shape) 
     #sys.exit() 

     model.add(Conv2D(filters = 32, kernel_size = (3,3) , padding = "same" , activation = "LeakyRelu" , input_shape = (3,6,3))) 
     model.add(Conv2D(filters = 64, kernel_size = (3,3) , padding = "same" , activation = "LeakyRelu",)) 
     model.add(Conv2D(filters = 64, kernel_size = (3,3) , padding = "same" , activation = "LeakyRelu",)) 
     model.add(Conv2D(filters = 32, kernel_size = (1,1) , padding = "same" , activation = "LeakyRelu",)) 
     print model.output_shape 
#  model.add(MaxPooling2D(pool_size=(3,1))) 
     print model.output_shape 
     model.add(Flatten()) 
     print model.output_shape 
#  model.add(Dense(output_dim=300, input_dim=200, init="normal",activation='tanh')) 
#  model.add(Dense(output_dim=32, input_dim=200, init="normal",activation='relu')) 
#  model.add(Dense(output_dim=1, input_dim=32, init="normal",activation='tanh')) 
     model.add(Dense(output_dim=13, input_dim=32, init="normal",activation='LeakyReLU')) 
     model.add(Dense(output_dim=1, init="normal", activation='linear')) 
     print model.summary() 
     model.compile(loss='mean_squared_error', optimizer="adam") 

給出了這樣的輸出：

Data-train-in: (3, 6, 3) 
Data-train-out: (1,) 
Data-test-in: (3, 6, 3) 
Traceback (most recent call last): 
    File "keras_convolutional_feature_extraction.py", line 602, in <module> 
    model(i,train_input_data_interweawed_normalized,output_data_train,test_input_data_interweawed_normalized,output_data_test) 
    File "keras_convolutional_feature_extraction.py", line 535, in model 
    model.add(Conv2D(filters = 32, kernel_size = (3,3) , padding = "same" , activation = "LeakyRelu" , input_shape = (3,6,3))) 
    File "/usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py", line 87, in wrapper 
    return func(*args, **kwargs) 
    File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 455, in __init__ 
    **kwargs) 
    File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 108, in __init__ 
    self.activation = activations.get(activation) 
    File "/usr/local/lib/python2.7/dist-packages/keras/activations.py", line 69, in get 
    return deserialize(identifier) 
    File "/usr/local/lib/python2.7/dist-packages/keras/activations.py", line 61, in deserialize 
    printable_module_name='activation function') 
    File "/usr/local/lib/python2.7/dist-packages/keras/utils/generic_utils.py", line 157, in deserialize_keras_object 
    ':' + class_name) 
UnboundLocalError: local variable 'class_name' referenced before assignment 

我閱讀了有關這個問題的一些其他職位，但這個似乎沒有類似於其他的。

Answer 1

高級圖層必須單獨添加，而不是在卷積圖層所在的同一行中。