I have problem using the simulink block obtained from LSTM trained network. The following is the error. number of inputs to be used is 2 and number of ouputs is 1

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Sowmya 2024-12-17

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https://ww2.mathworks.cn/matlabcentral/answers/2172221-i-have-problem-using-the-simulink-block-obtained-from-lstm-trained-network-the-following-is-the-err

回答： Krishna 2025-1-28

Error:Layer "sequenceinput": Invalid input data. Invalid size of channel dimension. Layer expects input with channel dimension size 2 but received input with size 1.

Function 'Subsystem/Stateful Predict/MLFB' (#218.166.365), line 5, column 19:

"deep.blocks.internal.sequenceNetworkPredict({in_1}, {size(in_1)}, {class(in_1)},"

Errors occurred during parsing of 'neural_network_deep/Subsystem/Stateful Predict/MLFB'.

Component:MATLAB Function | Category:Coder error

Simulink unable to determine sizes and/or types of the outputs for block 'neural_network_deep/Subsystem/Stateful Predict/MLFB' due to errors in the block body, or limitations of the underlying analysis. The errors might be inaccurate. Fix the indicated errors, or explicitly specify sizes and/or types for all block outputs.

Component:MATLAB Function | Category:Coder error

Simulink unable to determine sizes and/or types of the outputs for block 'neural_network_deep/Subsystem/Stateful Predict/MLFB' due to errors in the block body, or limitations of the underlying analysis. The errors might be inaccurate. Fix the indicated errors, or explicitly specify sizes and/or types for all block outputs.

Component:Simulink | Category:Model error

Error in port widths or dimensions. 'Output Port 1' of 'neural_network_deep/Subsystem/Stateful Predict/MLFB/in_1' is a one dimensional

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Peter Man 2025-1-3

Please also show how the net was exported to Simulink.

Sowmya 2025-1-7

the net was exported to simulink using export to simulink in deep network designer app.

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Answer 1

Krishna 2025-1-28

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Hi Sowmya,

I understand that you are facing the error "Error:Layer "sequenceinput": Invalid input data. Invalid size of channel dimension. Layer expects input with channel dimension size 2 but received input with size 1." while training a recurrent network.

The reason for the error is that the network excepts 2 sequences of inputs, but you are providing only 1 sequence to the 'sequenceInputLayer.' Please also ensure that training and vaildation data has consistent dimension to avoid these kinds of errors.

Please look at the below documentation to learn more regarding this,

https://in.mathworks.com/help/deeplearning/ref/nnet.cnn.layer.sequenceinputlayer.html

Also please look at the below documentation on how to train a recurrent neural network using 'dlnetwork.'

https://in.mathworks.com/help/deeplearning/ug/sequence-to-sequence-classification-using-deep-learning.html

Hope this helps.