a difference between odl_torch and normal odl  #1645

para_ini = initialization()
fp, fbp ,op_norm= build_gemotry(para_ini)
op_modfp = odl_torch.OperatorModule(fp)
op_modfbp = odl_torch.OperatorModule(fbp)
op_modpT = odl_torch.OperatorModule(fp.adjoint)

Above is the code that sets up my filtered backprojection and projection when processed on ndarray format and tensor format. I found that the effect is normal when fbp the projection on cpu through ndarray format, but the effect is much worse when processing on gpu through tensor format using op_modpT, is it because of the code writing problem?