Bring back TorchBench AO dashboard

[huydhn]

After pytorch/benchmark#2561, TorchBench AO benchmark data is now available to query and we can finally use that dashboard again. If this proves useful, the next steps would be:

1. Resurrect ao benchmark on AWS A100 runner benchmark#2561 only brings back one example model for each suite (TorchBench, HF, TIMM). We need to add more.
2. TorchBench AO dashboard shares the code with TorchInductor dashboard. While the former has been migrated to the new benchmark database, the latter hasn't. I will need to do that and clean this up in a later PR.
3. Looking at the results on the dashboard, it seems that autoquant works, but not int8dynamic and int8weightonly. I'm not sure if they are still relevant, but if they are, ao team should know how to fix them (cc @jerryzh168). The run on TorchBench is at https://github.com/pytorch/benchmark/actions/workflows/torchao.yml

Testing

The two metrics speedup and abs execution time are now showing up https://torchci-git-fork-huydhn-ch-migrate-torchao-queries-fbopensource.vercel.app/benchmark/torchao?dashboard=torchao&startTime=Sun%2C%2015%20Dec%202024%2011%3A06%3A45%20GMT&stopTime=Sun%2C%2022%20Dec%202024%2011%3A06%3A45%20GMT&granularity=hour&mode=inference&dtype=autoquant&deviceName=cuda%20(a100)&lBranch=main&lCommit=07e6ef43fca2e95bc6cf59f97ba6251e618ef0e3&rBranch=main&rCommit=c03fa7c6c1bd03242a9de1fddb77a9c778106afd

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