Error changing miniBatchSize in included deep learning example

Question

Javier Bush 2019-10-17

0
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https://ww2.mathworks.cn/matlabcentral/answers/485790-error-changing-minibatchsize-in-included-deep-learning-example

回答： Tish Sheridan 2019-11-6

采纳的回答： Tish Sheridan

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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);