ValueError with Concatenate Layer (Keras functional API)

Question

After some search here, I still can't find a solution for this. I'm new to Keras, apologies if there is a solution and I actually didn't understand how it was related to my problem.

I am making a small RNN with Keras 2/Functional API, and I have trouble to make the Concatenate Layer work.

Here is my structure :

inputSentence = Input(shape=(30, 91))
sentenceMatrix = LSTM(91, return_sequences=True, input_shape=(30, 91))(inputSentence)

inputDeletion = Input(shape=(30, 1))
deletionMatrix = (LSTM(30, return_sequences=True, input_shape=(30, 1)))(inputDeletion)

fusion = Concatenate([sentenceMatrix, deletionMatrix])
fusion = Dense(122, activation='relu')(fusion)
fusion = Dense(102, activation='relu')(fusion)
fusion = Dense(91, activation='sigmoid')(fusion)

F = Model(inputs=[inputSentence, inputDeletion], outputs=fusion)

And here is the error:

ValueError: Unexpectedly found an instance of type `<class 'keras.layers.merge.Concatenate'>`. Expected a symbolic tensor instance.

Full History if it helps a bit more :

Using TensorFlow backend.
    str(inputs) + '. All inputs to the layer '
ValueError: Layer dense_1 was called with an input that isn't a symbolic tensor. Received type: <class 'keras.layers.merge.Concatenate'>. Full input: [<keras.layers.merge.Concatenate object at 0x00000000340DC4E0>]. All inputs to the layer should be tensors.
self.assert_input_compatibility(inputs)
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 425, in assert_input_compatibility
fusion = Dense(122, activation='relu')(fusion)
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 552, in __call__
Traceback (most recent call last):
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 419, in assert_input_compatibility
K.is_keras_tensor(x)
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 392, in is_keras_tensor
raise ValueError('Unexpectedly found an instance of type `' + str(type(x)) + '`. '
ValueError: Unexpectedly found an instance of type `<class 'keras.layers.merge.Concatenate'>`. Expected a symbolic tensor instance.

I'm using Python 3.6, with Spyder 3.1.4, on Windows 7. I upgraded TensorFlow and Keras with pip this morning.

Thank you for any help provided !

Marcin Możejko · Accepted Answer · 2017-06-23 12:37:46Z

43

Try:

fusion = concatenate([sentenceMatrix, deletionMatrix])

Concatenate is used in a Sequential model, whereas concatenate is used in a Functional API.

answered Jun 23, 2017 at 12:37

Marcin Możejko

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1 Comment

Peter Cibulskis Over a year ago

Concatenate vs concatenate Remind me again WHY case sensitivity was a smart idea??

taras · Accepted Answer · 2019-01-09 09:11:10Z

4

Try

fusion = Concatenate()([sentenceMatrix, deletionMatrix])

edited Jan 9, 2019 at 9:11

taras

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answered Jan 9, 2019 at 8:52

Allen

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