This PR adds a heuristic to potentially fail the block pointer match early. Expressions like below take a long time to match using sympy (e.g. > 100 seconds)
```python
# torch._inductor.config.triton.use_block_ptr = True
# torch._inductor.config.triton.prefer_nd_tiling = True
# Expression from pytest -k test_max_pool2d1_dynamic_shapes_cuda:
((xindex//ps1))*((s2 - 3//2))**2 + 2*((xindex//ps1))*((s2 - 3//2)) + ((xindex//ps1)) + ((s2 - 3//2))*(ModularIndexing(xindex, ps0, ps0)) + (ModularIndexing(xindex, 1, ps0)) + (ModularIndexing(xindex, ps0, ps0))
```
Additionally, the heuristic for the number of dimensions based on the indexing expression is refined to only add dimensions for FloorDiv(index, denom) and ModularIndexing(index, denom, modulo) instead of including FloorDiv/ModularIndexing expressions that don't involve the index.
Fixes #ISSUE_NUMBER
Pull Request resolved: https://github.com/pytorch/pytorch/pull/144681
Approved by: https://github.com/jansel
0e6d44df3f