raise tolerance for cspdarknet (#127949)

Summary:
cspdarknet previously is flaky but after pytorch/pytorch#127367 it fails quite stably. It's probably due to small numerical change from the mentioned PR. That PR will let inductor generated different code due to different loop orders.

Raise tolerance to pass CI.

X-link: pytorch/pytorch#127949
Approved by: https://github.com/atalman, https://github.com/nWEIdia, https://github.com/eqy

Reviewed By: atalman

Differential Revision: D58168007

Pulled By: shunting314

fbshipit-source-id: 3d9f317668f64780b9934c4d9ae5a71b0b939614

userbenchmark/dynamo/dynamobench/timm_models.py

@@ -77,6 +77,7 @@ def pip_install(package):
  "mobilenetv3_large_100",
  "sebotnet33ts_256",
  "selecsls42b",
+ "cspdarknet53",
 }
 
 REQUIRE_HIGHER_TOLERANCE_FOR_FREEZING = {