同名变量多次调用 Tensor.detach_ 能稳定引发段错误

[RedContritio]

bug描述 Describe the Bug

重新创建同名变量并调用 detach_，将导致段错误

最小可复现代码：

import paddle
x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
x.detach_()
x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
x.detach_()

错误信息

Python 3.8.10 (default, Nov 14 2022, 12:59:47) 
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import paddle
, 1.0]], stop_gradient=False)
x.detach_()
x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
x.detach_()
>>> x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
>>> x.detach_()
Tensor(shape=[1, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
       [[1., 1., 1.]])
>>> x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
>>> x.detach_()


--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
No stack trace in paddle, may be caused by external reasons.

----------------------
Error Message Summary:
----------------------
FatalError: `Segmentation fault` is detected by the operating system.
  [TimeInfo: *** Aborted at 1694633134 (unix time) try "date -d @1694633134" if you are using GNU date ***]
  [SignalInfo: *** SIGSEGV (@0x0) received by PID 738250 (TID 0x7f73b1e02740) from PID 0 ***]

Segmentation fault (core dumped)

其他补充信息 Additional Supplementary Information

No response

[kangguangli]

感谢同学的反馈和给出的用例，已反馈给同事，后续我们会及时修复，进展会在issue中同步。

[wanghuancoder]

bug描述 Describe the Bug

重新创建同名变量并调用 detach_，将导致段错误

最小可复现代码：

import paddle
x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
x.detach_()
x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
x.detach_()

错误信息

Python 3.8.10 (default, Nov 14 2022, 12:59:47) 
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import paddle
, 1.0]], stop_gradient=False)
x.detach_()
x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
x.detach_()
>>> x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
>>> x.detach_()
Tensor(shape=[1, 3], dtype=float32, place=Place(cpu), stop_gradient=True,
       [[1., 1., 1.]])
>>> x = paddle.to_tensor(data=[[1.0, 1.0, 1.0]], stop_gradient=False)
>>> x.detach_()


--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
No stack trace in paddle, may be caused by external reasons.

----------------------
Error Message Summary:
----------------------
FatalError: `Segmentation fault` is detected by the operating system.
  [TimeInfo: *** Aborted at 1694633134 (unix time) try "date -d @1694633134" if you are using GNU date ***]
  [SignalInfo: *** SIGSEGV (@0x0) received by PID 738250 (TID 0x7f73b1e02740) from PID 0 ***]

Segmentation fault (core dumped)

其他补充信息 Additional Supplementary Information

No response

反写反馈，这个PR可以修复这个问题。#57394

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