[Benchmark] Generate benchmark record for job failure (#9247)

# Description
compose failure benchmark record

# Related Query File 

https://github.com/pytorch/test-infra/blob/main/torchci/clickhouse_queries/oss_ci_benchmark_llms/query.sql


# Details
when a job fails in git_job level, or a device fails in the benchmark
test,
we return a benchmark record to indicate the failure, so that we can
properly render the HUD UI ti distinguish metris not run and metris run
with failures

This pr may introduce `Unknown` to fields in the HUD execubench table
temporarily, will fix it in HUD UI to handle special benchmark value.

for both level of failure, the metric name will be "FAILURE_REPORT".
In HUD, We mainly use the special metric name to identify failure, if
more information needed, we get which level the job fails in
benchmark.extra_info.

## Step Failure
When a failure detected:
we try to extract model info from git_job_name, the step will fail if
the model info cannot be extracted.


# Example of benchmark record for failure benchmark:
## When a job failed at device-job-level, 
- device_name:  get name from job_report.name . for instance `iPhone 15`
- device_os: job_report.os with prefix "Android" or "iOS". this should
match both android and ios setting
- model.name: extract from git job name
- model.backend: extract from git job name
- metric.name: "FAILURE_REPORT"

```
{
  "benchmark": {
    "name": "ExecuTorch",
    "mode": "inference",
    "extra_info": {
      "app_type": "IOS_APP",
      "job_conclusion": **"FAILED"**,
      "failure_type": **"DEVICE_JOB"**,
      "job_report": "..."
  },
  "model": {
    "name": **"ic4",**
    "type": "OSS model",
    "backend": **"mps"**
  },
  "metric": {
    "name": **"FAILURE_REPORT"**,
    "benchmark_values": 0,
    "target_value": 0,
    "extra_info": {
      "method": ""
    }
  },
  "runners": [
    {
      "name": **"iPhone 15"**,
      "type": **"iOS 18.0"**,
    }
  ]
}
```

## when a job failed at git-job-level (there is no job_reports)
this happens when a job fails before it runs the benchmark job

- device_name: device_pool_name from git job bane #exmaple:
sumsung_galaxy_22
- device_os: "Android" or "iOS"
- model.name: extract from git job name
- model.backend: extract from git job name
- metric.name: "FAILURE_REPORT"

the failure benchmark record looks like:
```
{
  "benchmark": {
    "name": "ExecuTorch",
    "mode": "inference",
    "extra_info": {
      "app_type": "IOS_APP",
      "job_conclusion": **"FAILURE"**,
      "failure_type": **"GIT_JOB"**,
      "job_report": "{}"
    }
  },
  "model": {
    "name": "ic4",
    "type": "OSS model",
    "backend": "mps"
  },
  "metric": {
    "name": "FAILURE_REPORT",
    ...
  },
  "runners": [
    {
      "name": "samsung_galaxy_s22",
      "type": "Android",
     ...
    }
  ]
}
```

Author: yangw-dev

.ci/scripts/gather_benchmark_configs.py

@@ -263,7 +263,8 @@ def is_valid_huggingface_model_id(model_name: str) -> bool:
 def get_benchmark_configs() -> Dict[str, Dict]:  # noqa: C901
     """
     Gather benchmark configurations for a given set of models on the target operating system and devices.
-
+    CHANGE IF this function's return changed:
+        extract_model_info() in executorch/.github/scripts/extract_benchmark_results.py IF YOU CHANGE THE RESULT OF THIS FUNCTION.
     Args:
         None