def METHOD_NAME(*i_args):
    args = [a.contiguous() for a in i_args]
    vm_args = list()
    for arg in args:
        if arg.dim() != 0:
            if arg.requires_grad:
                arg = arg.detach()
            vm_args.append(to_tvm_tensor(arg))
    outputs = vm["main"](*vm_args)
    return to_torch_tensor(outputs)