all_vars_list = program.list_vars()
    for value in all_vars_list:
        if len(value.all_used_ops()) == 0:
            return
        uesd_by_stride_ops = []
        for op in value.all_used_ops()[::-1]:
            inplace_info = paddle.pir.core.get_op_inplace_info(op)
            if op.name() in framework.stride_ops and op.operand_source(
                0
            ).is_same(value):
                uesd_by_stride_ops.append(op)
            if (
                op.name().endswith("_")
                and any(op.operand_source(index).is_same(value) for index in inplace_info.keys())
            ):
                if value.get_defining_op().name() in framework.stride_ops:
                    # x = transpose(x) 的情况，如果 value 是 stride op 的输出(作为 python 变量)，判断是否被 stride op 的输入（上一个同名 python 变量）使用
                    pass # need valueerror
                if len(uesd_by_stride_ops) == 0:
                    continue
                # 获取使用过该 value 的strideop
                for stride_op in uesd_by_stride_ops:
                    # y = transpose(x).clone() 等
                    # 获取 stride_op 的输出，判断输出是否为python变量(xlist中的值)
                    if stride_op.name() == "pd_op.split" or stride_op.name() == "pd_op.unbind":
                        if stride_op.results() in xlist or any(
                            result in xlist for result in stride_op.results()
                        ):
                            pass # need valueerror
                    if stride_op.result(0) in xlist:
                        pass # need valueerror
                op_callstack = op.callstack
                index = op_callstack.index("    outputs = static_func(*inputs)")
                op_callstack_result = '\n'.join(op_callstack[index + 1 :])
                raise ValueError(
                    f'In transformed code:\n\n{op_callstack_result}\n\nSorry about what\'s happened. In to_static mode, {op.name()}\'s output variable is a viewed Tensor in dygraph. This will result in inconsistent calculation behavior between dynamic and static graphs. You must find the location of the strided ops be called, and call paddle.assign() before inplace input.'
                )