def METHOD_NAME(ch_lstm, th_lstm):
    ch_lstm.upward.W.data[:] = 1
    th_lstm.weight_ih.data[:] = torch.from_numpy(ch_lstm.upward.W.data)
    ch_lstm.upward.b.data[:] = 1
    th_lstm.bias_hh.data[:] = torch.from_numpy(ch_lstm.upward.b.data)
    # NOTE: only lateral weight can directly transfer
    # rest of the weights and biases have quite different placements
    th_lstm.weight_hh.data[:] = torch.from_numpy(ch_lstm.lateral.W.data)
    th_lstm.bias_ih.data.zero_()