我正在開發一種GAN(通用對抗網路)。Layer (type) Output Shape Param # Connected to

_____________________________________________________________________________

input_1 (InputLayer) (None, 30, 91) 0

_____________________________________________________________________________

model_1 (Model) (None, 30, 1) 12558 input_1[0][0]

_____________________________________________________________________________

model_2 (Model) (None, 30, 91) 99889 input_1[0][0]

model_1[1][0]

_____________________________________________________________________________

model_3 (Model) (None, 1) 456637 model_2[1][0]

_____________________________________________________________________________

ipretrained model_2和，問題是pretrained model_2 0和1的列表，但model_1返回值，所以我考慮了使用以下代碼對model1_output進行四捨五入:model1_out上。import keras.backend as K

[...]

def make_gan(GAN_in, model1, model2, model3):

model1_out = model1(GAN_in)

model2_out = model2([GAN_in, K.round(model1_out)])

GAN_out = model3(model2_out)

GAN = Model(GAN_in, GAN_out)

GAN.compile(loss=loss, optimizer=model1.optimizer, metrics=['binary_accuracy'])

return GAN

[...]

我有以下錯誤：

AttributeError :'Tensor'object has no attribute'_keras_history'

完全回溯：Traceback (most recent call last):

File"C:UsersAsmaaDocumentsBillyValuationGFD.py", line 88, in

GAN = make_gan(inputSentence, G, F, D)

File"C:UsersAsmaaDocumentsBillyValuationGFD.py", line 61, in make_gan

GAN = Model(GAN_in, GAN_out)

File"C:ProgramDataAnaconda3libsite-packageskeraslegacyinterfaces.py", line 88, in wrapper

return func(*args, **kwargs)

File"C:ProgramDataAnaconda3libsite-packageskerasenginetopology.py", line 1705, in __init__

build_map_of_graph(x, finished_nodes, nodes_in_progress)

File"C:ProgramDataAnaconda3libsite-packageskerasenginetopology.py", line 1695, in build_map_of_graph

layer, node_index, tensor_index)

File"C:ProgramDataAnaconda3libsite-packageskerasenginetopology.py", line 1695, in build_map_of_graph

layer, node_index, tensor_index)

File"C:ProgramDataAnaconda3libsite-packageskerasenginetopology.py", line 1665, in build_map_of_graph

layer, node_index, tensor_index = tensor._keras_history

AttributeError: 'Tensor' object has no attribute '_keras_history'

我在Windows 7上使用 Python 3.6 Spyder 3.1.4，並通過pip升級了TensorFlow和Keras。

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