[Inductor] [CPU] as_strided is much slower than empty_strided in single-thread single-batch mode in lennard_jones
Labels: triaged, oncall: pt2, module: inductor

### 🐛 Describe the bug

In-place buffer reuse has been disabled in the lennard_jones model due to a bug. After re-enabling the in-place buffer reuse, performance regression has been observed in single-thread single-batch mode. The profiling showed that `as_strided` is much slower than `empty_strided` which has caused the performance regression: https://github.com/pytorch/pytorch/issues/94267

Note that https://github.com/pytorch/pytorch/pull/94481 has fixed a bug so that `as_strided` won't be in the generated code anymore but `as_strided` slower than `empty_strided` still needs further analysis.

Repro: 
```bash
python -m torch.backends.xeon.run_cpu --core_list 0 --ncores_per_instance 1 benchmarks/dynamo/torchbench.py --performance --float32 -dcpu -n50 --inductor  --no-skip --dashboard --only lennard_jones  --cold_start_latency --batch_size 1 --threads 1
```


### Versions

|  ww06.2   |   |     |   |  ww05.4   |   |     |   |   |     |   |
|  ----  | ----  |  ----  | ----  |  ----  | ----  |  ----  | ----  | ----  |  ----  | ----  |
| batch_size  | speedup | inductor  | eager | batch_size  | speedup | inductor  | eager | speedup ratio | eager ratio  | inductor ratio |
|1	|0.9385	|0.0000632	|5.93132E-05	|1	|1.1339	|0.0000545	|6.17976E-05	|0.83	|1.04	|0.86 |



WW06.2 SW info:

SW	| Nightly commit	| Master/Main commit
-- | -- | --
Pytorch|[6a03ad6](https://github.com/pytorch/pytorch/commit/6a03ad6a34d7c2a31fcaab7a28898f1777baac85)|[1d53123](https://github.com/pytorch/pytorch/commit/1d53123f44e2d5f08e4605af353b7d32b62346ae)
Torchbench|/|[ef39f8c](https://github.com/pytorch/benchmark/commit/ef39f8ca47e288ce7206fe92a0eaac03e85623b8)
torchaudio|[ecc2781](https://github.com/pytorch/audio/commit/ecc2781b5b5c353e85a8ca9f16741cf92dd08344)|[4a037b0](https://github.com/pytorch/audio/commit/4a037b03915c4f6f81407e697fb11a7e7ace27fa)
torchtext|[112d757](https://github.com/pytorch/text/commit/112d757efd2482ea5f60bc23d85c2c09f0cfde61)	| [c7cc5fc](https://github.com/pytorch/text/commit/c7cc5fc1e669f548eef619ae055690831d6cc75e)
torchvision|[ac06efe](https://github.com/pytorch/vision/commit/ac06efed4ad2867c68e6b49ac31b554fcbbaa472)|[35f68a0](https://github.com/pytorch/vision/commit/35f68a09f94b2d7afb3f6adc2ba850216413f28e)
torchdata|[049fb62](https://github.com/pytorch/data/commit/049fb626615e6cd965897af8fea2fa73cecd6a2a)|[c0934b9](https://github.com/pytorch/data/commit/c0934b9afa96458c0f8aa3bef528830835c22195)
dynamo_benchmarks|[6a03ad6](https://github.com/pytorch/pytorch/commit/6a03ad6a34d7c2a31fcaab7a28898f1777baac85)|/

WW05.4 SW info: 

SW	| Nightly commit	| Master/Main commit
-- | -- | --
Pytorch|[2e6952f](https://github.com/pytorch/pytorch/commit/2e6952fa58c8b5d779688d16d466faf95555bbb7)|[79db5bc](https://github.com/pytorch/pytorch/commit/79db5bcc9d3febad00e5a2234b44c7db87defdab)
Torchbench|/|[ef39f8c](https://github.com/pytorch/benchmark/commit/ef39f8ca47e288ce7206fe92a0eaac03e85623b8)
torchaudio|[ecc2781](https://github.com/pytorch/audio/commit/ecc2781b5b5c353e85a8ca9f16741cf92dd08344)|[4a037b0](https://github.com/pytorch/audio/commit/4a037b03915c4f6f81407e697fb11a7e7ace27fa)
torchtext|[112d757](https://github.com/pytorch/text/commit/112d757efd2482ea5f60bc23d85c2c09f0cfde61)	| [c7cc5fc](https://github.com/pytorch/text/commit/c7cc5fc1e669f548eef619ae055690831d6cc75e)
torchvision|[ac06efe](https://github.com/pytorch/vision/commit/ac06efed4ad2867c68e6b49ac31b554fcbbaa472)|[35f68a0](https://github.com/pytorch/vision/commit/35f68a09f94b2d7afb3f6adc2ba850216413f28e)
torchdata|[049fb62](https://github.com/pytorch/data/commit/049fb626615e6cd965897af8fea2fa73cecd6a2a)|[c0934b9](https://github.com/pytorch/data/commit/c0934b9afa96458c0f8aa3bef528830835c22195)
dynamo_benchmarks|[b2690c3](https://github.com/pytorch/pytorch/commit/b2690c3ceae36fa6681a0c7cedcc8db7f5d9814a)|/


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