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Add the example non-genai qnn model to ci and benchinfra #4747
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/4747
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 Cancelled Job, 2 Unrelated FailuresAs of commit e59c8dc with merge base 2b3c01c ( CANCELLED JOB - The following job was cancelled. Please retry:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
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Fix |
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@haowhsu-quic The script to export dl3 doesn't work. Same failure when I run the export script locally from latest main. See the job https://github.com/pytorch/executorch/actions/runs/10426838811/job/28880603010?pr=4747 |
Hi, I think this was a breakage introduced by recent PR #4566. |
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Rebased after #4774 got merged |
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Now we can see the qnn and xnnpack models are exported, uploaded and deployed to S22 via device farm successfully: https://github.com/pytorch/executorch/actions/runs/10463149566. Once we have 1) the generic apk loader and 2) bundled models we should be able to benchmark these models ondevice Only dl3 is added to the CI and benchinfra, other models are missing instructions to use. See #4767. |
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