Repository: pytorch/benchmark
Issue: V3 Performance Signal Detected by TorchBench Userbenchmark "torch-nightly" on '9ea5b31c6fd45cd3139540d3da74a2a248f644d9'
Root cause: Algorithmic Error


TorchBench CI has detected a performance signal or runtime regression.

Base PyTorch commit: cf9eb00513769966ee1f0ac556b83ccefb9cd047

Affected PyTorch commit: 9ea5b31c6fd45cd3139540d3da74a2a248f644d9

Affected Tests:
- test_train[dcgan-cuda-eager]_latency: -19.71142%
- test_eval[opacus_cifar10-cuda-eager]_latency: -12.71603%
- test_train[phlippe_resnet-cuda-eager]_latency: -14.03545%
- test_eval[shufflenet_v2_x1_0-cuda-eager]_latency: -12.78645%
- test_train[tts_angular-cuda-eager]_latency: -10.97464%
- test_eval[yolov3-cuda-eager]_latency: -13.24676%


Tests that were no longer run on affected commit:


Tests that were newly added on affected commit:


Runtime regressions found?
No runtime errors were found in the new benchmarks run--you are all good there!

GitHub workflow that triggered this issue: https://github.com/pytorch/benchmark/actions/runs/6087087895

cc @xuzhao9


Bisection workflow: https://github.com/pytorch/benchmark/actions/runs/6104762346

```
{
  "target_repo": "pytorch",
  "start": "621463a3e6b488b2bff04e355a1abd9a4c5bb2cd",
  "end": "51c2e22e94caf56ac89967093b274ac81c7ca9e2",
  "result": [
    {
      "commit1": "621463a3e6b",
      "commit1_time": "2023-09-03 23:44:39 +0000",
      "commit1_digest": {
        "name": "torch-nightly",
        "environ": {
          "pytorch_git_version": "621463a3e6b488b2bff04e355a1abd9a4c5bb2cd",
          "device": "NVIDIA A100-SXM4-40GB",
          "git_commit_hash": "621463a3e6b488b2bff04e355a1abd9a4c5bb2cd"
        },
        "metrics": {}
      },
      "commit2": "06b173780d5",
      "commit2_time": "2023-09-04 04:37:26 +0000",
      "commit2_digest": {
        "name": "torch-nightly",
        "environ": {
          "pytorch_git_version": "06b173780d5c85c8aa35aa615fe2d0377ba61cb4",
          "device": "NVIDIA A100-SXM4-40GB",
          "git_commit_hash": "06b173780d5c85c8aa35aa615fe2d0377ba61cb4"
        },
        "metrics": {}
      }
    },
    {
      "commit1": "06b173780d5",
      "commit1_time": "2023-09-04 04:37:26 +0000",
      "commit1_digest": {
        "name": "torch-nightly",
        "environ": {
          "pytorch_git_version": "06b173780d5c85c8aa35aa615fe2d0377ba61cb4",
          "device": "NVIDIA A100-SXM4-40GB",
          "git_commit_hash": "06b173780d5c85c8aa35aa615fe2d0377ba61cb4"
        },
        "metrics": {}
      },
      "commit2": "4146be192ea",
      "commit2_time": "2023-09-04 08:12:53 +0000",
      "commit2_digest": {
        "name": "torch-nightly",
        "environ": {
          "pytorch_git_version": "4146be192ead477360a2763c5005e46a9485c3bf",
          "device": "NVIDIA A100-SXM4-40GB",
          "git_commit_hash": "4146be192ead477360a2763c5005e46a9485c3bf"
        },
        "metrics": {}
      }
    },
    {
      "commit1": "7e878c9d10e",
      "commit1_time": "2023-09-04 13:49:53 +0000",
      "commit1_digest": {
        "name": "torch-nightly",
        "environ": {
          "pytorch_git_version": "7e878c9d10e134deb61d2104243e14ef1f3ac291",
          "device": "NVIDIA A100-SXM4-40GB",
          "git_commit_hash": "7e878c9d10e134deb61d2104243e14ef1f3ac291"
        },
        "metrics": {}
      },
      "commit2": "51c2e22e94c",
      "commit2_time": "2023-09-04 15:20:22 +0000",
      "commit2_digest": {
        "name": "torch-nightly",
        "environ": {
          "pytorch_git_version": "51c2e22e94caf56ac89967093b274ac81c7ca9e2",
          "device": "NVIDIA A100-SXM4-40GB",
          "git_commit_hash": "51c2e22e94caf56ac89967093b274ac81c7ca9e2"
        },
        "metrics": {}
      }
    }
  ]
}
```