Qualcomm AI Engine Direct - fix miss layernorm registry

[DannyYuyang-quic]

Summary

• fix miss layernorm registry for gemma.

Test Plan

python examples/qualcomm/oss_scripts/llama/llama.py -b build-android -s ${SERIAL_NUM} -m ${SOC_MODEL} --temperature 0 --model_mode hybrid --max_seq_len 1024 --prefill_ar_len 128 --decoder_model gemma-2b --prompt "I would like to learn python, could you teach me with a simple example?" --tasks wikitext --limit 1

[pytorch-bot[bot]]

:link: Helpful Links

:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15824

• :page_facing_up: Preview Python docs built from this PR

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

:x: 1 New Failure

As of commit 05c8edbe25abe57d6ea0cf8a2e24565272f31e1e with merge base c02fdfc789899cc7ff1e369770fa207eb3426bb9 ():

NEW FAILURE - The following job has failed:

• pull / android / run-emulator (gh) The process '/usr/bin/sh' failed with exit code 255

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[DannyYuyang-quic]

Hi @cccclai, There’s a bug in the current LayerNorm registry. Since the recent refactor, the Gemma's layernorm didn’t get registered. and that’s breaking gemma model loading.

Thanks!!

[DannyYuyang-quic]

@pytorchbot label "release notes: qualcomm"