Avoid explicit broadcasting of indices in Advanced[Inc]Subtensor

[ricardoV94]

Description

Advanced indexing broacast indices implicitly, so in the following case there's no reason to allocate several ones:

import pytensor
import pytensor.tensor as pt

x = pt.matrix("x")
out = x[pt.arange(x.shape[0]), pt.ones(x.shape[0], dtype=int)]
fn = pytensor.function([x], out)
fn.dprint()
# AdvancedSubtensor [id A] 3
#  ├─ x [id B]
#  ├─ ARange{dtype='int64'} [id C] 2
#  │  ├─ 0 [id D]
#  │  ├─ Shape_i{0} [id E] 0
#  │  │  └─ x [id B]
#  │  └─ 1 [id F]
#  └─ Alloc [id G] 1
#     ├─ 1 [id H]
#     └─ Shape_i{0} [id E] 0
#        └─ ···

We already do this optimization for the y value in IncSubtensor with local_useless_inc_subtensor_alloc:

https://github.com/pymc-devs/pytensor/blob/11218cf44b0c11e5847d20964327059d57322fc5/pytensor/tensor/rewriting/subtensor.py#L1275-L1279