Remove most references to rockset:
* replace comments and docs with a generic "backend database"
* Delete `upload_to_rockset`, so we no longer need to install the package.
* Do not upload perf stats to rockset as well (we should be completely on DynamoDB now right @huydhn?)
According to VSCode, it went from 41 -> 7 instances of "rockset" in the repo
Pull Request resolved: https://github.com/pytorch/pytorch/pull/139922
Approved by: https://github.com/huydhn, https://github.com/ZainRizvi
Upload sccache stats to s3 instead of rockset
I don't think we use these anywhere, so it's ok to cut off the ingest into rockset right now.
We should consider deleting this entirely if we don't plan on using it
I will work on copying existing data over from rockset to s3
Pull Request resolved: https://github.com/pytorch/pytorch/pull/129490
Approved by: https://github.com/huydhn, https://github.com/ZainRizvi
Move gha artifact download to before any xml parsing is done for uplaod-test-stats
Do not download gha artifacts during xml parsing since got uploaded to s3 in the above and will be downloaded when all the artifacts are downloaded from s3
The previous method resulted in dups if you run the script again
TODO: write a deduper so we don't have to worry at all
Pull Request resolved: https://github.com/pytorch/pytorch/pull/125609
Approved by: https://github.com/huydhn
With ufmt in place https://github.com/pytorch/pytorch/pull/81157, we can now use it to gradually format all files. I'm breaking this down into multiple smaller batches to avoid too many merge conflicts later on.
This batch (as copied from the current BLACK linter config):
* `tools/**/*.py`
Upcoming batchs:
* `torchgen/**/*.py`
* `torch/package/**/*.py`
* `torch/onnx/**/*.py`
* `torch/_refs/**/*.py`
* `torch/_prims/**/*.py`
* `torch/_meta_registrations.py`
* `torch/_decomp/**/*.py`
* `test/onnx/**/*.py`
Once they are all formatted, BLACK linter will be removed.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/81285
Approved by: https://github.com/suo
