我正在尝试在某个层合并我以前训练过的两个模型的输出。以前,我使用以下代码成功地使用了中间层的输出:
intermediate_layer_model = Model(inputs=audio.model.input,
outputs=audio.model.get_layer(layer_name).output)
但是,对于我的新型号,以下代码失败:
combined_model = Model(inputs=[audio.model.input, visual.model.input], outputs=loss_out)
具有以下跟踪:
Traceback (most recent call last):
File "multimodalTrain1.py", line 191, in <module>
train(run_name, 0, 300, 1, 100, 50, 75, 34, 64)
File "multimodalTrain1.py", line 154, in train
outputs=loss_out)
File "/srv/users/Rifqi/avid/lib/python3.5/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/srv/users/Rifqi/avid/lib/python3.5/site-packages/keras/engine/network.py", line 94, in __init__
self._init_graph_network(*args, **kwargs)
File "/srv/users/Rifqi/avid/lib/python3.5/site-packages/keras/engine/network.py", line 169, in _init_graph_network
' (missing previous layer metadata).')
ValueError: Input tensors to a Model must come from `keras.layers.Input`. Received: [<tf.Tensor 'the_input:0' shape=(?, 190, 96, 1) dtype=float32>, <tf.Tensor 'the_labels:0' shape=(?, 34) dtype=int32>, <tf.Tensor 'input_length:0' shape=(?, 1) dtype=int32>, <tf.Tensor 'label_length:0' shape=(?, 1) dtype=int32>] (missing previous layer metadata).
另外,每个模型都接受多个输入
目前没有回答
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