Error changing miniBatchSize in included deep learning example

Hello

I am using the example in 2019b

openExample('nnet/SeqToSeqClassificationUsing1DConvAndModelFunctionExample')

But when i changed the miniBatchSize to 2 I get the following error. I am trying to understand the example so will help to be able to change the miniBatchSize to a different value

Workarounds?

Index exceeds the number of array elements (1).

Error in SeqToSeqClassificationUsing1DConvAndModelFunctionExample>maskedCrossEntropyLoss (line 486)
    idx = 1:numTimeSteps(i);

Error in SeqToSeqClassificationUsing1DConvAndModelFunctionExample>modelGradients (line 472)
loss = maskedCrossEntropyLoss(dlY, dlT, numTimeSteps);

Error in deep.internal.dlfeval (line 18)
[varargout{1:nout}] = fun(x{:});

Error in dlfeval (line 40)
[varargout{1:nout}] = deep.internal.dlfeval(fun,varargin{:});

Error in SeqToSeqClassificationUsing1DConvAndModelFunctionExample (line 287)
        [gradients, loss] = dlfeval(@modelGradients,dlX,Y,parameters,hyperparameters,numTimeSteps);

Answer 1

[Tish Sheridan]

This question has answers over here: https://www.mathworks.com/matlabcentral/answers/485341-error-in-matlab-included-deep-learning-example?s_tid=ab_old_mlc_ans_email_view#comment_759510)