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Qualcomm AI Engine Direct - XR model enablement pipe_clean #8299
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8299
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 67a1622 with merge base 433e30b ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@pytorchbot label "release notes: qualcomm" |
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Thank you!
return torch.pow(x, 1.0 / self.exp) | ||
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class DecomposeLinalgVectorNorm(ExportPass): |
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Seems like there are lots engineer work here, maybe we (ExecuTorch side) should figure out how to make it simpler
This PR needs to rebase. Can you help with that? |
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Hmm, I feel like the diff train is not catching up...will come back to this PR (maybe 1-2 days) and see if it's in a good state |
The diff train is good now, mind rebasing? |
summary - support linalg_vector_norm, instance_norm, any, ne - expand coverage of quantization annotator - test cases - small refactor for _pass importing
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Summary
Test plan
python backends/qualcomm/tests/test_qnn_delegate.py -k TestQNNQuantizedOperator -s $DEVICE_SERIAL -m SM8650 -b build-android/