hi, i have a problem here, i got a sequence of Variables which are the outputs of the bi-directional RNN, and i stacked them into a matrix xs_h whose dimension is (seq_length, batch_size, hidden_size), them i want to update the matrix xs_h by convoluting on two slices in xs_h, some codes are as follows:
new_xs_h = xs_h.clone()
vp, vc = xs_h[idx_0, bidx], xs_h[idx_1, bidx]
x = tc.stack([self.f1(vp), self.f2(vc)], dim=1)[None, :, :]
new_xs_h[idx_1, bidx] = self.tanh(self.l_f2(self.conv(x).squeeze()))
actually, i want to update the Variable xs_h and then let the new updated matrix new_xs_h get into my computation graph again. However, i got following errors when i call backward() after the running of above code:
RuntimeError: element 0 of variables does not require grad and does not have a grad_fn
i do not kown why, any reply will be appreciated.
thanks.