Fixed the issue where autocompare reports input is modified in situations like torch.exp(x, out=x)

[zhaoguochun1995]

torch.exp(x, out=x) 这种用法下，实际是个inplace 操作。autocompare会对输入做检查，会检查算子算完后输入是否被错误的修改。如果是这种情况下，原先会报输入被修改，同时会保存相关的checkpoint。现在修复了该问题

autocompare    torch.exp forward_id: 1    
/deeplink_afs/zhaoguochun/ditorch2/op_tools/test/test_tool_with_special_op.py:202 test_input_is_output: torch.exp(x, out=x)
+---------------------------+--------+---------+-------+-----------+------------+---------------+---------------+----------------+
|            name           | device |  dtype  | numel |   shape   |   stride   | requires_grad |     layout    |    data_ptr    |
+---------------------------+--------+---------+-------+-----------+------------+---------------+---------------+----------------+
|      torch.exp inputs     | cuda:0 | float32 |   60  | (3, 4, 5) | (20, 5, 1) |     False     | torch.strided | 20067179823104 |
|    torch.exp inputs out   | cuda:0 | float32 |   60  | (3, 4, 5) | (20, 5, 1) |     False     | torch.strided | 20067179823104 |
|     torch.exp outputs     | cuda:0 | float32 |   60  | (3, 4, 5) | (20, 5, 1) |     False     | torch.strided | 20067179823104 |
|   torch.exp inputs(cpu)   |  cpu   | float32 |   60  | (3, 4, 5) | (20, 5, 1) |     False     | torch.strided |   514196288    |
| torch.exp inputs(cpu) out |  cpu   | float32 |   60  | (3, 4, 5) | (20, 5, 1) |     False     | torch.strided |   514196288    |
|   torch.exp outputs(cpu)  |  cpu   | float32 |   60  | (3, 4, 5) | (20, 5, 1) |     False     | torch.strided |   514196288    |
+---------------------------+--------+---------+-------+-----------+------------+---------------+---------------+----------------+
+--------------------------------+----------+-------------------+--------------+-------------------+-------------+-------------+------------+
|              name              | allclose | cosine_similarity | max_abs_diff | max_relative_diff |     atol    |     rtol    | error_info |
+--------------------------------+----------+-------------------+--------------+-------------------+-------------+-------------+------------+
| torch.exp input                |   True   |    0.999999881    | 0.000000477  |    0.000000108    | 0.000010000 | 0.000010000 |            |
| torch.exp output               |   True   |    0.999999881    | 0.000000477  |    0.000000108    | 0.000010000 | 0.000010000 |            |
+--------------------------------+----------+-------------------+--------------+-------------------+-------------+-------------+------------+