Qualcomm AI Engine Direct - GA FocalNet

[winskuo-quic]

Summary

• GA Model: FocalNet
• Properly annotate AdaptiveAvgPool1D

Accuracy

top1: ~60%
top5: ~85%

Speed

SM8750: 2.2ms/inf

Script

python examples/qualcomm/oss_scripts/focalnet.py -b build-android -H $HOST -s $DEVICE -m $MODEL --dataset ../imagenet-mini/val/

Test plan

E2E UT

[pytorch-bot]

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/11097

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❌ 4 New Failures

As of commit 1a4c77c with merge base 4e38f4a ():

NEW FAILURES - The following jobs have failed:

• Build Presets / apple (llm) / build (gh)
  RuntimeError: Command bash /Users/runner/work/_temp/exec_script failed with exit code 1
• Build Presets / linux (llm, linux.2xlarge, executorch-ubuntu-22.04-clang12) / build (gh)
  RuntimeError: Command docker exec -t 46564c14748016d9144db922007bbacb2618de7e3c317fb2264e1455d98bad00 /exec failed with exit code 1
• Build Presets / linux (llm, linux.arm64.2xlarge, executorch-ubuntu-22.04-gcc11-aarch64) / build (gh)
• Check Labels / Check labels (gh)
  RuntimeError: Error checking labels: PR does not have required labels

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