Error using trainNetwork: asking for same sequence length.

For some reason, trainNetwork funciton is not working while pulling out this error:

Error using trainNetwork
Invalid training data. Sequence responses must have the same sequence
length as the corresponding predictors.

This is my current code for the Training:

%% Network
layers = [
    sequenceInputLayer(1,"Name","input")
    lstmLayer(128,"Name","lstm")
    dropoutLayer(0.5,"Name","drop")
    fullyConnectedLayer(2,"Name","fc")
    softmaxLayer("Name","softmax")
    classificationLayer("Name","classification")];

miniBatchSize = 27;
options = trainingOptions('adam', ...
    'ExecutionEnvironment','cpu', ...
    'MaxEpochs',250, ...
    'MiniBatchSize',miniBatchSize, ...
    'ValidationData',{XValidation,YValidation}, ...
    'GradientThreshold',2, ...
    'Shuffle','every-epoch', ...
    'Verbose',false, ...
    'Plots','training-progress');

net = trainNetwork(XTrain,YTrain,layers,options);

and the Values inside the XTrain, YTrain, XValidation, and YValidation is,

XTrain:

YTrain:

I tried converting YTrain into the non-cell categorical variables, but it pulled out the error, so I had to use this format.

XValidation and YValidation is also in same format like above. What is the problem?

I don't see any problem with the length of sequence.

The total summary of the values are like this,

Answer 1

[Ranjeet]

Hi Andrew,

It seems you are providing wrong input sequence layer length while initializing the following layer

sequenceInputLayer(1, "Name", "input");

XTrain input is a sequence of length 150000 as shown in the provided figure. Try changing the sequence input layer initialization with

sequenceInputLayer(150000, "Name", "input");

Also, refer to the following resource dealing with same issue:

Invalid training data, incompatible sequence length