Error changing miniBatchSize in included deep learning example
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Javier Bush
le 17 Oct 2019
Réponse apportée : Tish Sheridan
le 6 Nov 2019
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);
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