Problem with convolutional layers when using 1-dimensional data

[Optrode]

Hello,
I have been trying to create a convolutional autoencoder for use with 1D data. I can define the network, and I can run data through the untrained network, but attempting to train the network produces the following error:

Output argument "gp" (and maybe others) not assigned during call to "LinU/ograd".

Error in nnCostFunctionCNN (line 53)
d{k} = (nn.A{nn.N_l}.v - Y.v).*nn.l.af{nn.N_l}.ograd(nn.A{nn.N_l}.v);

Error in @(nn,r,newRandGen)nnCostFunctionCNN(nn,r,newRandGen)

Error in gradientDescentAdaDelta (line 69)
[J, dJdW, dJdB] = feval(f, nn, r, true);

Any suggestions for a workaround would be appreciated.