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Fix reporting backends and dtyep to benchmark results #6023

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@guangy10 guangy10 commented Oct 8, 2024 •
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Couple minor fixes for reporting the benchmarking results:

  • qnn models are not reporting "backend" and "dtype" info in the benchmark_results.json (Android)
  • tinyllama mdoel is not reporting "backend" and "dtype" info in the benchmark_results.json (Android)
  • include compute precision to the exported coreml model name
  • rename "llama2" to "tinyllama" to eliminate confusion (many people thought it was llama2-7b)

@guangy10 guangy10 requested a review from huydhn October 8, 2024 22:38
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6023

Note: Links to docs will display an error until the docs builds have been completed.

❌ 2 New Failures

As of commit 22b823e with merge base b118d8e (image):

NEW FAILURES - The following jobs have failed:

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huydhn commented Oct 9, 2024

I test this out in #5982, so its regex takes the first word as the model name, the last one as the dtype. And everything in between will be the backend. It's as as good as having proper JSON output from device, but I guess this will do for now

@huydhn huydhn added the ciflow/android Trigger Android CI label Oct 9, 2024
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huydhn commented Oct 9, 2024

Also, I learn from https://github.com/pytorch/executorch/pull/5710/files#r1788458509 that changing the export name might cause unexpected failures because some names are hardcoded in the repo. It's a good idea to double check them.

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guangy10 commented Oct 9, 2024

Also, I learn from https://github.com/pytorch/executorch/pull/5710/files#r1788458509 that changing the export name might cause unexpected failures because some names are hardcoded in the repo. It's a good idea to double check them.

Yeah, I reverted the changes that renames the exported artifacts directly but append the dtype suffix in the test script instead. It works for now, we can clean it up later

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@guangy10 merged this pull request in 012cba9.

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guangy10 commented Oct 9, 2024

@pytorchbot cherry-pick --onto release/0.4 -c fixnewfeature

@guangy10 guangy10 deleted the fix_report_benchmark_results branch October 9, 2024 22:15
pytorchbot pushed a commit that referenced this pull request Oct 9, 2024
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Fix reporting backends and dtyep to benchmark results (#6023)
1395020 
Summary:
Couple minor fixes for reporting the benchmarking results:
 - qnn models are not reporting "backend" and "dtype" info in the benchmark_results.json (Android)
 - tinyllama mdoel is not reporting "backend" and "dtype" info in the benchmark_results.json (Android)
 - include compute precision to the exported coreml model name
 - rename "llama2" to "tinyllama" to eliminate confusion (many people thought it was llama2-7b)

Pull Request resolved: #6023

Reviewed By: huydhn

Differential Revision: D64074262

Pulled By: guangy10

fbshipit-source-id: c6c53d004c4fb3ad410a792639af2c22a6978b67
(cherry picked from commit 012cba9)
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Cherry picking #6023

The cherry pick PR is at #6073 and it is recommended to link a fixnewfeature cherry pick PR with an issue. The following tracker issues are updated:

Details for Dev Infra team Raised by workflow job

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jackzhxng pushed a commit that referenced this pull request Oct 10, 2024
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Fix reporting backends and dtyep to benchmark results (#6073)
3c0c994 
Fix reporting backends and dtyep to benchmark results (#6023)

Summary:
Couple minor fixes for reporting the benchmarking results:
 - qnn models are not reporting "backend" and "dtype" info in the benchmark_results.json (Android)
 - tinyllama mdoel is not reporting "backend" and "dtype" info in the benchmark_results.json (Android)
 - include compute precision to the exported coreml model name
 - rename "llama2" to "tinyllama" to eliminate confusion (many people thought it was llama2-7b)

Pull Request resolved: #6023

Reviewed By: huydhn

Differential Revision: D64074262

Pulled By: guangy10

fbshipit-source-id: c6c53d004c4fb3ad410a792639af2c22a6978b67
(cherry picked from commit 012cba9)

Co-authored-by: Guang Yang <[email protected]>
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