[Slice] Support multi-dim bool tensor index

[LittleHeroZZZX]

PR Category

Execute Infrastructure

PR Types

Bug fixes

Description

pcard-67164
getitem 无法正确处理含有 秩>2 的布尔高级索引。

以 Tensor([3,4,5],"float32"), (slice(None,None,None),tuple(Tensor([4,5],"bool")) 为例，
parseIndex 无法识别出布尔索引会 consume input 的 1 和 2 两个维度，而是按照整数索引的处理方式认为其只作用在第 1 维度上，从而导致在 dealWithAdvancedIndex 拿到的转置的 tensor 的形状为 [4, 3, 5]，而不是预期的 [4, 5, 3]。最终引发了维度不匹配报错：

Traceback (most recent call last):
  File "/work/PaddleX/PaddleCustomDevice/Paddle/test/indexing/test_getitem_appendix.py", line 237, in test_combined
    self.accuracy_check(x[:, 0, index_np], y[:, 0, index_paddle])
  File "/work/PaddleX/PaddleCustomDevice/.venv/lib/python3.10/site-packages/paddle/base/dygraph/tensor_patch_methods.py", line 1070, in __getitem__
    return self._getitem_dygraph(item)
ValueError: (InvalidArgument) The reduce dim index 0 should be in the range [ -dimension(X), dimension(X) ) which dimension = 2. But received dim index = 2.
  [Hint: Expected axis[i] < x_rank, but received axis[i]:2 >= x_rank:2.] (at /paddle/paddle/phi/infermeta/unary.cc:5619)

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[LittleHeroZZZX]

/re-run all-failed

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Sorry to inform you that f7fdeee's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually.

[LittleHeroZZZX]

在 #74320 中提交