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[Feature Request] Add job_arn to benchmark result #10372
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Signed-off-by: Yang Wang <[email protected]>
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10372
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 22a6159 with merge base cfd1be3 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
Signed-off-by: Yang Wang <[email protected]>
Please find lint before merging |
Just FYI, I'm also adding the device pool name and id here so that I can differentiate between a S22 device from a public v.s. a S22 device from the private pool. Atm, I think they have the same name. |
Signed-off-by: Yang Wang <[email protected]>
sounds good! |
* main: [ET-VK] Enable int8 tiled compute shader to be used with buffer tensors (#10415) Revert "Migrate elementwise_util callers to the variants with out_dtypes in template arguments" (#10411) Revert "Save some size in dtype_util when dtype selective build is not in use" (#10410) Generalize view_copy fusion. Add job_arn to benchmark result (#10372) Revert "Minibench refactor (#10376)" (#10405) Revert "Arm backend: Populate __init__.py for quantizer and Arm root" (#10395) Arm backend: Convert assert to throw ValueError in op_log (#10392) Arm backend: Add Tutorial to Example tab on the Docs page (#10386) Arm backend: Update node visitors to support TOSA 1.0 (#10390) Arm backend: Make it easier to generate non delegated/quantized PTEs (#10387) Arm backend: Allow --quantize in non delegated using aot_arm_compiler (#10385) Arm backend: Set REGIONCFG registers of the Ethos-U (#10388)
Add device job_arn to track different device jobs.