e.g., in Torch 7 I have a net with the last module an nn.ConcatTable, then I make the gradOutputs a table of tensors and do the net:backward(inputs, gradOutputs)
How to do similar things with pytorch? I tried to backward() for each output, but it complained that backward should not be called multiple times?