Cherry-pick PR #38014

本PR修复了以下两个tensor切片索引bug：

1.修复Tensor索引赋值调用set_value op出现的显存泄露问题，该问题主要是由Inplace策略的使用不当导致，本PR中已完成修复。

2.修复使用多个None类型索引时结果维度异常的问题

att,Fix issue:36902

* Support getitem by Bool index

* delete some debug info of bool index

* support the case that the shape of bool index is different from indexed tensor

* support setitem by bool index

* add the unittest for throwing exception

* merge conflict

* add check for int tensor when index is bool

* add set_value_grad op

* add unittest.

* polish unittest.

* polish code.

* support cuda kernel

* polish code according to CI

* polish code.

* polish code

* remove *.pyc

* polish code.

* add unittest to improve coverage.

* polish code.

* Support setitem by None index

* remove unreachable code

* Add Checkpoint for set_value_op because add a new attribute

* Avoid raising warning while import paddle

* fix segment fault of set_value

* fix code style

* [static setitem] support the index step > 1. tensor_a[::3] = value

* [static setitem] support the index step < 0. Eg: tensor_a[::-3] = value

* [static setitem] support the index is Tensor. eg: tensor_a[tensor_3:0:-1] = value

* Add op version.

Support vector<double> as type of op attribute and op set_value suppport vector<double> as value (#30126)

1. Type of index: int, slice(step must be 1).

2. Type of value: 
 (1) int32, int64, float32, bool; 
 (2) numpy.array(int32, int64, float32, bool);<Note: float64 is not supported>
 (3) paddle.Tensor(int32, int64, float32, float64, bool);