How to replace imageInputLayer with sequenceInputLayer in imported Tensorflow Keras network

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Hi,
I've imported a pre-trained network from tensorflow keras on MATLAB using importKerasLayers (importKerasNetwork didn't work as I've got 3 inputs). This network is made for sequence to sequence time series regression, hence I need a sequenceInputLayer in front of the network, however when I import the network an imageInputLayer is put in front of the network. Of course that layer is unsuitable for my use case, hence I tried replacing the imageInputLayer with a sequenceInputLayer but the error below is shown. The name of the imageInputLayer is 'lstm_10_input'.
Error using nnet.internal.cnn.util.validateLayersForLayerGraph>iAssertUniqueAndNonEmptyLayerNames (line 45)
Layer names in layer array must be nonempty.
Error in nnet.internal.cnn.util.validateLayersForLayerGraph (line 33)
iAssertUniqueAndNonEmptyLayerNames(larray, existingLayers);
Error in nnet.cnn.LayerGraph>iValidateLayers (line 556)
larray = nnet.internal.cnn.util.validateLayersForLayerGraph(larray, existingLayers);
Error in nnet.cnn.LayerGraph/replaceLayer (line 420)
larray = iValidateLayers(larray, existingLayers);
Error in keras_import (line 8)
lgraph = replaceLayer(lgraph,'lstm_10_input',inputLayer);
My code is as follows:
net = importKerasLayers('model.h5', 'ImportWeights', true);
lgraph = layerGraph(net);
inputLayer = sequenceInputLayer(3);
lgraph = replaceLayer(lgraph,'lstm_10_input',inputLayer); %This is where the error occurs

Accepted Answer

Raunak Gupta
Raunak Gupta on 3 Oct 2020
Hi Lucas,
From the error message it is evident that the inputLayer in your code must contain a valid name (any character array) so that it can be replaced with ‘lstm_10_input’ layer. Giving a name to inputLayer will clear out the error message.
inputLayer = sequenceInputLayer(3,'Name','sequence_10_input');
lgraph = replaceLayer(lgraph,'lstm_10_input',inputLayer);

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