Hugging Face's logo

argmaxinc
/
whisperkit-coreml

Automatic Speech Recognition
WhisperKit
Core ML
whisper
asr
quantized
Model card Files
xet
Community
20
aotrih commited on
Commit
ad3241c
·
verified ·
1 Parent(s): 482e5f8

whisperkittools-50194868db18c889d1a5a76391723583d0a50d00 generated files: openai_whisper-medium.en

Browse files
Files changed (20) hide show
  1. openai_whisper-medium.en/AudioEncoder.mlcomputeplan.json +4090 -0
  2. openai_whisper-medium.en/AudioEncoder.mlmodelc/analytics/coremldata.bin +3 -0
  3. openai_whisper-medium.en/AudioEncoder.mlmodelc/coremldata.bin +3 -0
  4. openai_whisper-medium.en/AudioEncoder.mlmodelc/metadata.json +68 -0
  5. openai_whisper-medium.en/AudioEncoder.mlmodelc/model.mil +0 -0
  6. openai_whisper-medium.en/AudioEncoder.mlmodelc/weights/weight.bin +3 -0
  7. openai_whisper-medium.en/MelSpectrogram.mlcomputeplan.json +199 -0
  8. openai_whisper-medium.en/MelSpectrogram.mlmodelc/analytics/coremldata.bin +3 -0
  9. openai_whisper-medium.en/MelSpectrogram.mlmodelc/coremldata.bin +3 -0
  10. openai_whisper-medium.en/MelSpectrogram.mlmodelc/metadata.json +74 -0
  11. openai_whisper-medium.en/MelSpectrogram.mlmodelc/model.mil +66 -0
  12. openai_whisper-medium.en/MelSpectrogram.mlmodelc/weights/weight.bin +3 -0
  13. openai_whisper-medium.en/TextDecoder.mlcomputeplan.json +0 -0
  14. openai_whisper-medium.en/TextDecoder.mlmodelc/analytics/coremldata.bin +3 -0
  15. openai_whisper-medium.en/TextDecoder.mlmodelc/coremldata.bin +3 -0
  16. openai_whisper-medium.en/TextDecoder.mlmodelc/metadata.json +168 -0
  17. openai_whisper-medium.en/TextDecoder.mlmodelc/model.mil +0 -0
  18. openai_whisper-medium.en/TextDecoder.mlmodelc/weights/weight.bin +3 -0
  19. openai_whisper-medium.en/config.json +1 -0
  20. openai_whisper-medium.en/generation_config.json +1 -0
openai_whisper-medium.en/AudioEncoder.mlcomputeplan.json ADDED
@@ -0,0 +1,4090 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "7_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3
+ "dispatch": "ANE",
4
+ "supported": [
5
+ "CPU",
6
+ "ANE"
7
+ ],
8
+ "cost": 0.0768
9
+ },
10
+ "9_ios16.gelu_mode_x": {
11
+ "dispatch": "ANE",
12
+ "supported": [
13
+ "CPU",
14
+ "ANE"
15
+ ],
16
+ "cost": 0.0656
17
+ },
18
+ "17_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
19
+ "dispatch": "ANE",
20
+ "supported": [
21
+ "CPU",
22
+ "ANE"
23
+ ],
24
+ "cost": 0.4903
25
+ },
26
+ "19_ios16.gelu_mode_x": {
27
+ "dispatch": "ANE",
28
+ "supported": [
29
+ "CPU",
30
+ "ANE"
31
+ ],
32
+ "cost": 0.0328
33
+ },
34
+ "21_ios16.add_x_y": {
35
+ "dispatch": "ANE",
36
+ "supported": [
37
+ "CPU",
38
+ "ANE"
39
+ ],
40
+ "cost": 0.0729
41
+ },
42
+ "25_ios16.layer_norm_epsilon_x_axes": {
43
+ "dispatch": "ANE",
44
+ "supported": [
45
+ "CPU",
46
+ "ANE"
47
+ ],
48
+ "cost": 0.0328
49
+ },
50
+ "31_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
51
+ "dispatch": "ANE",
52
+ "supported": [
53
+ "CPU",
54
+ "ANE"
55
+ ],
56
+ "cost": 0.0328
57
+ },
58
+ "39_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
59
+ "dispatch": "ANE",
60
+ "supported": [
61
+ "CPU",
62
+ "ANE"
63
+ ],
64
+ "cost": 0.1635
65
+ },
66
+ "46_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
67
+ "dispatch": "ANE",
68
+ "supported": [
69
+ "CPU",
70
+ "ANE"
71
+ ],
72
+ "cost": 0.1634
73
+ },
74
+ "54_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
75
+ "dispatch": "ANE",
76
+ "supported": [
77
+ "CPU",
78
+ "ANE"
79
+ ],
80
+ "cost": 0.1635
81
+ },
82
+ "56_ios16.reshape_shape_x": {
83
+ "dispatch": "ANE",
84
+ "supported": [
85
+ "CPU",
86
+ "ANE"
87
+ ],
88
+ "cost": 0.0328
89
+ },
90
+ "58_ios16.mul_x_y": {
91
+ "dispatch": "ANE",
92
+ "supported": [
93
+ "CPU",
94
+ "ANE"
95
+ ],
96
+ "cost": 0.0299
97
+ },
98
+ "60_ios16.reshape_shape_x": {
99
+ "dispatch": "ANE",
100
+ "supported": [
101
+ "CPU",
102
+ "ANE"
103
+ ],
104
+ "cost": 0.0328
105
+ },
106
+ "63_ios16.matmul_y_transpose_y_transpose_x_x": {
107
+ "dispatch": "ANE",
108
+ "supported": [
109
+ "CPU",
110
+ "ANE"
111
+ ],
112
+ "cost": 0.417
113
+ },
114
+ "64_ios16.softmax_axis_x": {
115
+ "dispatch": "ANE",
116
+ "supported": [
117
+ "CPU",
118
+ "ANE"
119
+ ],
120
+ "cost": 0.7684
121
+ },
122
+ "66_ios16.reshape_shape_x": {
123
+ "dispatch": "ANE",
124
+ "supported": [
125
+ "CPU",
126
+ "ANE"
127
+ ],
128
+ "cost": 0.0328
129
+ },
130
+ "69_ios16.matmul_y_transpose_y_transpose_x_x": {
131
+ "dispatch": "ANE",
132
+ "supported": [
133
+ "CPU",
134
+ "ANE"
135
+ ],
136
+ "cost": 0.417
137
+ },
138
+ "71_ios16.reshape_shape_x": {
139
+ "dispatch": "ANE",
140
+ "supported": [
141
+ "CPU",
142
+ "ANE"
143
+ ],
144
+ "cost": 0.0328
145
+ },
146
+ "79_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
147
+ "dispatch": "ANE",
148
+ "supported": [
149
+ "CPU",
150
+ "ANE"
151
+ ],
152
+ "cost": 0.1635
153
+ },
154
+ "80_ios16.add_x_y": {
155
+ "dispatch": "ANE",
156
+ "supported": [
157
+ "CPU",
158
+ "ANE"
159
+ ],
160
+ "cost": 0.0729
161
+ },
162
+ "83_ios16.layer_norm_epsilon_x_axes": {
163
+ "dispatch": "ANE",
164
+ "supported": [
165
+ "CPU",
166
+ "ANE"
167
+ ],
168
+ "cost": 0.0328
169
+ },
170
+ "87_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
171
+ "dispatch": "ANE",
172
+ "supported": [
173
+ "CPU",
174
+ "ANE"
175
+ ],
176
+ "cost": 0.0328
177
+ },
178
+ "95_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
179
+ "dispatch": "ANE",
180
+ "supported": [
181
+ "CPU",
182
+ "ANE"
183
+ ],
184
+ "cost": 0.654
185
+ },
186
+ "97_ios16.gelu_mode_x": {
187
+ "dispatch": "ANE",
188
+ "supported": [
189
+ "CPU",
190
+ "ANE"
191
+ ],
192
+ "cost": 0.1311
193
+ },
194
+ "105_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
195
+ "dispatch": "ANE",
196
+ "supported": [
197
+ "CPU",
198
+ "ANE"
199
+ ],
200
+ "cost": 0.6537
201
+ },
202
+ "106_ios16.add_x_y": {
203
+ "dispatch": "ANE",
204
+ "supported": [
205
+ "CPU",
206
+ "ANE"
207
+ ],
208
+ "cost": 0.0729
209
+ },
210
+ "110_ios16.layer_norm_epsilon_x_axes": {
211
+ "dispatch": "ANE",
212
+ "supported": [
213
+ "CPU",
214
+ "ANE"
215
+ ],
216
+ "cost": 0.0328
217
+ },
218
+ "114_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
219
+ "dispatch": "ANE",
220
+ "supported": [
221
+ "CPU",
222
+ "ANE"
223
+ ],
224
+ "cost": 0.0328
225
+ },
226
+ "122_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
227
+ "dispatch": "ANE",
228
+ "supported": [
229
+ "CPU",
230
+ "ANE"
231
+ ],
232
+ "cost": 0.1635
233
+ },
234
+ "129_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
235
+ "dispatch": "ANE",
236
+ "supported": [
237
+ "CPU",
238
+ "ANE"
239
+ ],
240
+ "cost": 0.1634
241
+ },
242
+ "137_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
243
+ "dispatch": "ANE",
244
+ "supported": [
245
+ "CPU",
246
+ "ANE"
247
+ ],
248
+ "cost": 0.1635
249
+ },
250
+ "139_ios16.reshape_shape_x": {
251
+ "dispatch": "ANE",
252
+ "supported": [
253
+ "CPU",
254
+ "ANE"
255
+ ],
256
+ "cost": 0.0328
257
+ },
258
+ "141_ios16.mul_x_y": {
259
+ "dispatch": "ANE",
260
+ "supported": [
261
+ "CPU",
262
+ "ANE"
263
+ ],
264
+ "cost": 0.0299
265
+ },
266
+ "143_ios16.reshape_shape_x": {
267
+ "dispatch": "ANE",
268
+ "supported": [
269
+ "CPU",
270
+ "ANE"
271
+ ],
272
+ "cost": 0.0328
273
+ },
274
+ "146_ios16.matmul_y_transpose_y_transpose_x_x": {
275
+ "dispatch": "ANE",
276
+ "supported": [
277
+ "CPU",
278
+ "ANE"
279
+ ],
280
+ "cost": 0.417
281
+ },
282
+ "147_ios16.softmax_axis_x": {
283
+ "dispatch": "ANE",
284
+ "supported": [
285
+ "CPU",
286
+ "ANE"
287
+ ],
288
+ "cost": 0.7684
289
+ },
290
+ "149_ios16.reshape_shape_x": {
291
+ "dispatch": "ANE",
292
+ "supported": [
293
+ "CPU",
294
+ "ANE"
295
+ ],
296
+ "cost": 0.0328
297
+ },
298
+ "152_ios16.matmul_y_transpose_y_transpose_x_x": {
299
+ "dispatch": "ANE",
300
+ "supported": [
301
+ "CPU",
302
+ "ANE"
303
+ ],
304
+ "cost": 0.417
305
+ },
306
+ "154_ios16.reshape_shape_x": {
307
+ "dispatch": "ANE",
308
+ "supported": [
309
+ "CPU",
310
+ "ANE"
311
+ ],
312
+ "cost": 0.0328
313
+ },
314
+ "162_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
315
+ "dispatch": "ANE",
316
+ "supported": [
317
+ "CPU",
318
+ "ANE"
319
+ ],
320
+ "cost": 0.1635
321
+ },
322
+ "163_ios16.add_x_y": {
323
+ "dispatch": "ANE",
324
+ "supported": [
325
+ "CPU",
326
+ "ANE"
327
+ ],
328
+ "cost": 0.0729
329
+ },
330
+ "166_ios16.layer_norm_epsilon_x_axes": {
331
+ "dispatch": "ANE",
332
+ "supported": [
333
+ "CPU",
334
+ "ANE"
335
+ ],
336
+ "cost": 0.0328
337
+ },
338
+ "170_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
339
+ "dispatch": "ANE",
340
+ "supported": [
341
+ "CPU",
342
+ "ANE"
343
+ ],
344
+ "cost": 0.0328
345
+ },
346
+ "178_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
347
+ "dispatch": "ANE",
348
+ "supported": [
349
+ "CPU",
350
+ "ANE"
351
+ ],
352
+ "cost": 0.654
353
+ },
354
+ "180_ios16.gelu_mode_x": {
355
+ "dispatch": "ANE",
356
+ "supported": [
357
+ "CPU",
358
+ "ANE"
359
+ ],
360
+ "cost": 0.1311
361
+ },
362
+ "188_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
363
+ "dispatch": "ANE",
364
+ "supported": [
365
+ "CPU",
366
+ "ANE"
367
+ ],
368
+ "cost": 0.6537
369
+ },
370
+ "189_ios16.add_x_y": {
371
+ "dispatch": "ANE",
372
+ "supported": [
373
+ "CPU",
374
+ "ANE"
375
+ ],
376
+ "cost": 0.0729
377
+ },
378
+ "193_ios16.layer_norm_epsilon_x_axes": {
379
+ "dispatch": "ANE",
380
+ "supported": [
381
+ "CPU",
382
+ "ANE"
383
+ ],
384
+ "cost": 0.0328
385
+ },
386
+ "197_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
387
+ "dispatch": "ANE",
388
+ "supported": [
389
+ "CPU",
390
+ "ANE"
391
+ ],
392
+ "cost": 0.0328
393
+ },
394
+ "205_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
395
+ "dispatch": "ANE",
396
+ "supported": [
397
+ "CPU",
398
+ "ANE"
399
+ ],
400
+ "cost": 0.1635
401
+ },
402
+ "212_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
403
+ "dispatch": "ANE",
404
+ "supported": [
405
+ "CPU",
406
+ "ANE"
407
+ ],
408
+ "cost": 0.1634
409
+ },
410
+ "220_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
411
+ "dispatch": "ANE",
412
+ "supported": [
413
+ "CPU",
414
+ "ANE"
415
+ ],
416
+ "cost": 0.1635
417
+ },
418
+ "222_ios16.reshape_shape_x": {
419
+ "dispatch": "ANE",
420
+ "supported": [
421
+ "CPU",
422
+ "ANE"
423
+ ],
424
+ "cost": 0.0328
425
+ },
426
+ "224_ios16.mul_x_y": {
427
+ "dispatch": "ANE",
428
+ "supported": [
429
+ "CPU",
430
+ "ANE"
431
+ ],
432
+ "cost": 0.0299
433
+ },
434
+ "226_ios16.reshape_shape_x": {
435
+ "dispatch": "ANE",
436
+ "supported": [
437
+ "CPU",
438
+ "ANE"
439
+ ],
440
+ "cost": 0.0328
441
+ },
442
+ "229_ios16.matmul_y_transpose_y_transpose_x_x": {
443
+ "dispatch": "ANE",
444
+ "supported": [
445
+ "CPU",
446
+ "ANE"
447
+ ],
448
+ "cost": 0.417
449
+ },
450
+ "230_ios16.softmax_axis_x": {
451
+ "dispatch": "ANE",
452
+ "supported": [
453
+ "CPU",
454
+ "ANE"
455
+ ],
456
+ "cost": 0.7684
457
+ },
458
+ "232_ios16.reshape_shape_x": {
459
+ "dispatch": "ANE",
460
+ "supported": [
461
+ "CPU",
462
+ "ANE"
463
+ ],
464
+ "cost": 0.0328
465
+ },
466
+ "235_ios16.matmul_y_transpose_y_transpose_x_x": {
467
+ "dispatch": "ANE",
468
+ "supported": [
469
+ "CPU",
470
+ "ANE"
471
+ ],
472
+ "cost": 0.417
473
+ },
474
+ "237_ios16.reshape_shape_x": {
475
+ "dispatch": "ANE",
476
+ "supported": [
477
+ "CPU",
478
+ "ANE"
479
+ ],
480
+ "cost": 0.0328
481
+ },
482
+ "245_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
483
+ "dispatch": "ANE",
484
+ "supported": [
485
+ "CPU",
486
+ "ANE"
487
+ ],
488
+ "cost": 0.1635
489
+ },
490
+ "246_ios16.add_x_y": {
491
+ "dispatch": "ANE",
492
+ "supported": [
493
+ "CPU",
494
+ "ANE"
495
+ ],
496
+ "cost": 0.0729
497
+ },
498
+ "249_ios16.layer_norm_epsilon_x_axes": {
499
+ "dispatch": "ANE",
500
+ "supported": [
501
+ "CPU",
502
+ "ANE"
503
+ ],
504
+ "cost": 0.0328
505
+ },
506
+ "253_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
507
+ "dispatch": "ANE",
508
+ "supported": [
509
+ "CPU",
510
+ "ANE"
511
+ ],
512
+ "cost": 0.0328
513
+ },
514
+ "261_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
515
+ "dispatch": "ANE",
516
+ "supported": [
517
+ "CPU",
518
+ "ANE"
519
+ ],
520
+ "cost": 0.654
521
+ },
522
+ "263_ios16.gelu_mode_x": {
523
+ "dispatch": "ANE",
524
+ "supported": [
525
+ "CPU",
526
+ "ANE"
527
+ ],
528
+ "cost": 0.1311
529
+ },
530
+ "271_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
531
+ "dispatch": "ANE",
532
+ "supported": [
533
+ "CPU",
534
+ "ANE"
535
+ ],
536
+ "cost": 0.6537
537
+ },
538
+ "272_ios16.add_x_y": {
539
+ "dispatch": "ANE",
540
+ "supported": [
541
+ "CPU",
542
+ "ANE"
543
+ ],
544
+ "cost": 0.0729
545
+ },
546
+ "276_ios16.layer_norm_epsilon_x_axes": {
547
+ "dispatch": "ANE",
548
+ "supported": [
549
+ "CPU",
550
+ "ANE"
551
+ ],
552
+ "cost": 0.0328
553
+ },
554
+ "280_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
555
+ "dispatch": "ANE",
556
+ "supported": [
557
+ "CPU",
558
+ "ANE"
559
+ ],
560
+ "cost": 0.0328
561
+ },
562
+ "288_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
563
+ "dispatch": "ANE",
564
+ "supported": [
565
+ "CPU",
566
+ "ANE"
567
+ ],
568
+ "cost": 0.1635
569
+ },
570
+ "295_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
571
+ "dispatch": "ANE",
572
+ "supported": [
573
+ "CPU",
574
+ "ANE"
575
+ ],
576
+ "cost": 0.1634
577
+ },
578
+ "303_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
579
+ "dispatch": "ANE",
580
+ "supported": [
581
+ "CPU",
582
+ "ANE"
583
+ ],
584
+ "cost": 0.1635
585
+ },
586
+ "305_ios16.reshape_shape_x": {
587
+ "dispatch": "ANE",
588
+ "supported": [
589
+ "CPU",
590
+ "ANE"
591
+ ],
592
+ "cost": 0.0328
593
+ },
594
+ "307_ios16.mul_x_y": {
595
+ "dispatch": "ANE",
596
+ "supported": [
597
+ "CPU",
598
+ "ANE"
599
+ ],
600
+ "cost": 0.0299
601
+ },
602
+ "309_ios16.reshape_shape_x": {
603
+ "dispatch": "ANE",
604
+ "supported": [
605
+ "CPU",
606
+ "ANE"
607
+ ],
608
+ "cost": 0.0328
609
+ },
610
+ "312_ios16.matmul_y_transpose_y_transpose_x_x": {
611
+ "dispatch": "ANE",
612
+ "supported": [
613
+ "CPU",
614
+ "ANE"
615
+ ],
616
+ "cost": 0.417
617
+ },
618
+ "313_ios16.softmax_axis_x": {
619
+ "dispatch": "ANE",
620
+ "supported": [
621
+ "CPU",
622
+ "ANE"
623
+ ],
624
+ "cost": 0.7684
625
+ },
626
+ "315_ios16.reshape_shape_x": {
627
+ "dispatch": "ANE",
628
+ "supported": [
629
+ "CPU",
630
+ "ANE"
631
+ ],
632
+ "cost": 0.0328
633
+ },
634
+ "318_ios16.matmul_y_transpose_y_transpose_x_x": {
635
+ "dispatch": "ANE",
636
+ "supported": [
637
+ "CPU",
638
+ "ANE"
639
+ ],
640
+ "cost": 0.417
641
+ },
642
+ "320_ios16.reshape_shape_x": {
643
+ "dispatch": "ANE",
644
+ "supported": [
645
+ "CPU",
646
+ "ANE"
647
+ ],
648
+ "cost": 0.0328
649
+ },
650
+ "328_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
651
+ "dispatch": "ANE",
652
+ "supported": [
653
+ "CPU",
654
+ "ANE"
655
+ ],
656
+ "cost": 0.1635
657
+ },
658
+ "329_ios16.add_x_y": {
659
+ "dispatch": "ANE",
660
+ "supported": [
661
+ "CPU",
662
+ "ANE"
663
+ ],
664
+ "cost": 0.0729
665
+ },
666
+ "332_ios16.layer_norm_epsilon_x_axes": {
667
+ "dispatch": "ANE",
668
+ "supported": [
669
+ "CPU",
670
+ "ANE"
671
+ ],
672
+ "cost": 0.0328
673
+ },
674
+ "336_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
675
+ "dispatch": "ANE",
676
+ "supported": [
677
+ "CPU",
678
+ "ANE"
679
+ ],
680
+ "cost": 0.0328
681
+ },
682
+ "344_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
683
+ "dispatch": "ANE",
684
+ "supported": [
685
+ "CPU",
686
+ "ANE"
687
+ ],
688
+ "cost": 0.654
689
+ },
690
+ "346_ios16.gelu_mode_x": {
691
+ "dispatch": "ANE",
692
+ "supported": [
693
+ "CPU",
694
+ "ANE"
695
+ ],
696
+ "cost": 0.1311
697
+ },
698
+ "354_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
699
+ "dispatch": "ANE",
700
+ "supported": [
701
+ "CPU",
702
+ "ANE"
703
+ ],
704
+ "cost": 0.6537
705
+ },
706
+ "355_ios16.add_x_y": {
707
+ "dispatch": "ANE",
708
+ "supported": [
709
+ "CPU",
710
+ "ANE"
711
+ ],
712
+ "cost": 0.0729
713
+ },
714
+ "359_ios16.layer_norm_epsilon_x_axes": {
715
+ "dispatch": "ANE",
716
+ "supported": [
717
+ "CPU",
718
+ "ANE"
719
+ ],
720
+ "cost": 0.0328
721
+ },
722
+ "363_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
723
+ "dispatch": "ANE",
724
+ "supported": [
725
+ "CPU",
726
+ "ANE"
727
+ ],
728
+ "cost": 0.0328
729
+ },
730
+ "371_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
731
+ "dispatch": "ANE",
732
+ "supported": [
733
+ "CPU",
734
+ "ANE"
735
+ ],
736
+ "cost": 0.1635
737
+ },
738
+ "378_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
739
+ "dispatch": "ANE",
740
+ "supported": [
741
+ "CPU",
742
+ "ANE"
743
+ ],
744
+ "cost": 0.1634
745
+ },
746
+ "386_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
747
+ "dispatch": "ANE",
748
+ "supported": [
749
+ "CPU",
750
+ "ANE"
751
+ ],
752
+ "cost": 0.1635
753
+ },
754
+ "388_ios16.reshape_shape_x": {
755
+ "dispatch": "ANE",
756
+ "supported": [
757
+ "CPU",
758
+ "ANE"
759
+ ],
760
+ "cost": 0.0328
761
+ },
762
+ "390_ios16.mul_x_y": {
763
+ "dispatch": "ANE",
764
+ "supported": [
765
+ "CPU",
766
+ "ANE"
767
+ ],
768
+ "cost": 0.0299
769
+ },
770
+ "392_ios16.reshape_shape_x": {
771
+ "dispatch": "ANE",
772
+ "supported": [
773
+ "CPU",
774
+ "ANE"
775
+ ],
776
+ "cost": 0.0328
777
+ },
778
+ "395_ios16.matmul_y_transpose_y_transpose_x_x": {
779
+ "dispatch": "ANE",
780
+ "supported": [
781
+ "CPU",
782
+ "ANE"
783
+ ],
784
+ "cost": 0.417
785
+ },
786
+ "396_ios16.softmax_axis_x": {
787
+ "dispatch": "ANE",
788
+ "supported": [
789
+ "CPU",
790
+ "ANE"
791
+ ],
792
+ "cost": 0.7684
793
+ },
794
+ "398_ios16.reshape_shape_x": {
795
+ "dispatch": "ANE",
796
+ "supported": [
797
+ "CPU",
798
+ "ANE"
799
+ ],
800
+ "cost": 0.0328
801
+ },
802
+ "401_ios16.matmul_y_transpose_y_transpose_x_x": {
803
+ "dispatch": "ANE",
804
+ "supported": [
805
+ "CPU",
806
+ "ANE"
807
+ ],
808
+ "cost": 0.417
809
+ },
810
+ "403_ios16.reshape_shape_x": {
811
+ "dispatch": "ANE",
812
+ "supported": [
813
+ "CPU",
814
+ "ANE"
815
+ ],
816
+ "cost": 0.0328
817
+ },
818
+ "411_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
819
+ "dispatch": "ANE",
820
+ "supported": [
821
+ "CPU",
822
+ "ANE"
823
+ ],
824
+ "cost": 0.1635
825
+ },
826
+ "412_ios16.add_x_y": {
827
+ "dispatch": "ANE",
828
+ "supported": [
829
+ "CPU",
830
+ "ANE"
831
+ ],
832
+ "cost": 0.0729
833
+ },
834
+ "415_ios16.layer_norm_epsilon_x_axes": {
835
+ "dispatch": "ANE",
836
+ "supported": [
837
+ "CPU",
838
+ "ANE"
839
+ ],
840
+ "cost": 0.0328
841
+ },
842
+ "419_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
843
+ "dispatch": "ANE",
844
+ "supported": [
845
+ "CPU",
846
+ "ANE"
847
+ ],
848
+ "cost": 0.0328
849
+ },
850
+ "427_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
851
+ "dispatch": "ANE",
852
+ "supported": [
853
+ "CPU",
854
+ "ANE"
855
+ ],
856
+ "cost": 0.654
857
+ },
858
+ "429_ios16.gelu_mode_x": {
859
+ "dispatch": "ANE",
860
+ "supported": [
861
+ "CPU",
862
+ "ANE"
863
+ ],
864
+ "cost": 0.1311
865
+ },
866
+ "437_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
867
+ "dispatch": "ANE",
868
+ "supported": [
869
+ "CPU",
870
+ "ANE"
871
+ ],
872
+ "cost": 0.6537
873
+ },
874
+ "438_ios16.add_x_y": {
875
+ "dispatch": "ANE",
876
+ "supported": [
877
+ "CPU",
878
+ "ANE"
879
+ ],
880
+ "cost": 0.0729
881
+ },
882
+ "442_ios16.layer_norm_epsilon_x_axes": {
883
+ "dispatch": "ANE",
884
+ "supported": [
885
+ "CPU",
886
+ "ANE"
887
+ ],
888
+ "cost": 0.0328
889
+ },
890
+ "446_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
891
+ "dispatch": "ANE",
892
+ "supported": [
893
+ "CPU",
894
+ "ANE"
895
+ ],
896
+ "cost": 0.0328
897
+ },
898
+ "454_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
899
+ "dispatch": "ANE",
900
+ "supported": [
901
+ "CPU",
902
+ "ANE"
903
+ ],
904
+ "cost": 0.1635
905
+ },
906
+ "461_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
907
+ "dispatch": "ANE",
908
+ "supported": [
909
+ "CPU",
910
+ "ANE"
911
+ ],
912
+ "cost": 0.1634
913
+ },
914
+ "469_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
915
+ "dispatch": "ANE",
916
+ "supported": [
917
+ "CPU",
918
+ "ANE"
919
+ ],
920
+ "cost": 0.1635
921
+ },
922
+ "471_ios16.reshape_shape_x": {
923
+ "dispatch": "ANE",
924
+ "supported": [
925
+ "CPU",
926
+ "ANE"
927
+ ],
928
+ "cost": 0.0328
929
+ },
930
+ "473_ios16.mul_x_y": {
931
+ "dispatch": "ANE",
932
+ "supported": [
933
+ "CPU",
934
+ "ANE"
935
+ ],
936
+ "cost": 0.0299
937
+ },
938
+ "475_ios16.reshape_shape_x": {
939
+ "dispatch": "ANE",
940
+ "supported": [
941
+ "CPU",
942
+ "ANE"
943
+ ],
944
+ "cost": 0.0328
945
+ },
946
+ "478_ios16.matmul_y_transpose_y_transpose_x_x": {
947
+ "dispatch": "ANE",
948
+ "supported": [
949
+ "CPU",
950
+ "ANE"
951
+ ],
952
+ "cost": 0.417
953
+ },
954
+ "479_ios16.softmax_axis_x": {
955
+ "dispatch": "ANE",
956
+ "supported": [
957
+ "CPU",
958
+ "ANE"
959
+ ],
960
+ "cost": 0.7684
961
+ },
962
+ "481_ios16.reshape_shape_x": {
963
+ "dispatch": "ANE",
964
+ "supported": [
965
+ "CPU",
966
+ "ANE"
967
+ ],
968
+ "cost": 0.0328
969
+ },
970
+ "484_ios16.matmul_y_transpose_y_transpose_x_x": {
971
+ "dispatch": "ANE",
972
+ "supported": [
973
+ "CPU",
974
+ "ANE"
975
+ ],
976
+ "cost": 0.417
977
+ },
978
+ "486_ios16.reshape_shape_x": {
979
+ "dispatch": "ANE",
980
+ "supported": [
981
+ "CPU",
982
+ "ANE"
983
+ ],
984
+ "cost": 0.0328
985
+ },
986
+ "494_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
987
+ "dispatch": "ANE",
988
+ "supported": [
989
+ "CPU",
990
+ "ANE"
991
+ ],
992
+ "cost": 0.1635
993
+ },
994
+ "495_ios16.add_x_y": {
995
+ "dispatch": "ANE",
996
+ "supported": [
997
+ "CPU",
998
+ "ANE"
999
+ ],
1000
+ "cost": 0.0729
1001
+ },
1002
+ "498_ios16.layer_norm_epsilon_x_axes": {
1003
+ "dispatch": "ANE",
1004
+ "supported": [
1005
+ "CPU",
1006
+ "ANE"
1007
+ ],
1008
+ "cost": 0.0328
1009
+ },
1010
+ "502_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1011
+ "dispatch": "ANE",
1012
+ "supported": [
1013
+ "CPU",
1014
+ "ANE"
1015
+ ],
1016
+ "cost": 0.0328
1017
+ },
1018
+ "510_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1019
+ "dispatch": "ANE",
1020
+ "supported": [
1021
+ "CPU",
1022
+ "ANE"
1023
+ ],
1024
+ "cost": 0.654
1025
+ },
1026
+ "512_ios16.gelu_mode_x": {
1027
+ "dispatch": "ANE",
1028
+ "supported": [
1029
+ "CPU",
1030
+ "ANE"
1031
+ ],
1032
+ "cost": 0.1311
1033
+ },
1034
+ "520_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1035
+ "dispatch": "ANE",
1036
+ "supported": [
1037
+ "CPU",
1038
+ "ANE"
1039
+ ],
1040
+ "cost": 0.6537
1041
+ },
1042
+ "521_ios16.add_x_y": {
1043
+ "dispatch": "ANE",
1044
+ "supported": [
1045
+ "CPU",
1046
+ "ANE"
1047
+ ],
1048
+ "cost": 0.0729
1049
+ },
1050
+ "525_ios16.layer_norm_epsilon_x_axes": {
1051
+ "dispatch": "ANE",
1052
+ "supported": [
1053
+ "CPU",
1054
+ "ANE"
1055
+ ],
1056
+ "cost": 0.0328
1057
+ },
1058
+ "529_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1059
+ "dispatch": "ANE",
1060
+ "supported": [
1061
+ "CPU",
1062
+ "ANE"
1063
+ ],
1064
+ "cost": 0.0328
1065
+ },
1066
+ "537_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1067
+ "dispatch": "ANE",
1068
+ "supported": [
1069
+ "CPU",
1070
+ "ANE"
1071
+ ],
1072
+ "cost": 0.1635
1073
+ },
1074
+ "544_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
1075
+ "dispatch": "ANE",
1076
+ "supported": [
1077
+ "CPU",
1078
+ "ANE"
1079
+ ],
1080
+ "cost": 0.1634
1081
+ },
1082
+ "552_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1083
+ "dispatch": "ANE",
1084
+ "supported": [
1085
+ "CPU",
1086
+ "ANE"
1087
+ ],
1088
+ "cost": 0.1635
1089
+ },
1090
+ "554_ios16.reshape_shape_x": {
1091
+ "dispatch": "ANE",
1092
+ "supported": [
1093
+ "CPU",
1094
+ "ANE"
1095
+ ],
1096
+ "cost": 0.0328
1097
+ },
1098
+ "556_ios16.mul_x_y": {
1099
+ "dispatch": "ANE",
1100
+ "supported": [
1101
+ "CPU",
1102
+ "ANE"
1103
+ ],
1104
+ "cost": 0.0299
1105
+ },
1106
+ "558_ios16.reshape_shape_x": {
1107
+ "dispatch": "ANE",
1108
+ "supported": [
1109
+ "CPU",
1110
+ "ANE"
1111
+ ],
1112
+ "cost": 0.0328
1113
+ },
1114
+ "561_ios16.matmul_y_transpose_y_transpose_x_x": {
1115
+ "dispatch": "ANE",
1116
+ "supported": [
1117
+ "CPU",
1118
+ "ANE"
1119
+ ],
1120
+ "cost": 0.417
1121
+ },
1122
+ "562_ios16.softmax_axis_x": {
1123
+ "dispatch": "ANE",
1124
+ "supported": [
1125
+ "CPU",
1126
+ "ANE"
1127
+ ],
1128
+ "cost": 0.7684
1129
+ },
1130
+ "564_ios16.reshape_shape_x": {
1131
+ "dispatch": "ANE",
1132
+ "supported": [
1133
+ "CPU",
1134
+ "ANE"
1135
+ ],
1136
+ "cost": 0.0328
1137
+ },
1138
+ "567_ios16.matmul_y_transpose_y_transpose_x_x": {
1139
+ "dispatch": "ANE",
1140
+ "supported": [
1141
+ "CPU",
1142
+ "ANE"
1143
+ ],
1144
+ "cost": 0.417
1145
+ },
1146
+ "569_ios16.reshape_shape_x": {
1147
+ "dispatch": "ANE",
1148
+ "supported": [
1149
+ "CPU",
1150
+ "ANE"
1151
+ ],
1152
+ "cost": 0.0328
1153
+ },
1154
+ "577_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1155
+ "dispatch": "ANE",
1156
+ "supported": [
1157
+ "CPU",
1158
+ "ANE"
1159
+ ],
1160
+ "cost": 0.1635
1161
+ },
1162
+ "578_ios16.add_x_y": {
1163
+ "dispatch": "ANE",
1164
+ "supported": [
1165
+ "CPU",
1166
+ "ANE"
1167
+ ],
1168
+ "cost": 0.0729
1169
+ },
1170
+ "581_ios16.layer_norm_epsilon_x_axes": {
1171
+ "dispatch": "ANE",
1172
+ "supported": [
1173
+ "CPU",
1174
+ "ANE"
1175
+ ],
1176
+ "cost": 0.0328
1177
+ },
1178
+ "585_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1179
+ "dispatch": "ANE",
1180
+ "supported": [
1181
+ "CPU",
1182
+ "ANE"
1183
+ ],
1184
+ "cost": 0.0328
1185
+ },
1186
+ "593_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1187
+ "dispatch": "ANE",
1188
+ "supported": [
1189
+ "CPU",
1190
+ "ANE"
1191
+ ],
1192
+ "cost": 0.654
1193
+ },
1194
+ "595_ios16.gelu_mode_x": {
1195
+ "dispatch": "ANE",
1196
+ "supported": [
1197
+ "CPU",
1198
+ "ANE"
1199
+ ],
1200
+ "cost": 0.1311
1201
+ },
1202
+ "603_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1203
+ "dispatch": "ANE",
1204
+ "supported": [
1205
+ "CPU",
1206
+ "ANE"
1207
+ ],
1208
+ "cost": 0.6537
1209
+ },
1210
+ "604_ios16.add_x_y": {
1211
+ "dispatch": "ANE",
1212
+ "supported": [
1213
+ "CPU",
1214
+ "ANE"
1215
+ ],
1216
+ "cost": 0.0729
1217
+ },
1218
+ "608_ios16.layer_norm_epsilon_x_axes": {
1219
+ "dispatch": "ANE",
1220
+ "supported": [
1221
+ "CPU",
1222
+ "ANE"
1223
+ ],
1224
+ "cost": 0.0328
1225
+ },
1226
+ "612_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1227
+ "dispatch": "ANE",
1228
+ "supported": [
1229
+ "CPU",
1230
+ "ANE"
1231
+ ],
1232
+ "cost": 0.0328
1233
+ },
1234
+ "620_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1235
+ "dispatch": "ANE",
1236
+ "supported": [
1237
+ "CPU",
1238
+ "ANE"
1239
+ ],
1240
+ "cost": 0.1635
1241
+ },
1242
+ "627_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
1243
+ "dispatch": "ANE",
1244
+ "supported": [
1245
+ "CPU",
1246
+ "ANE"
1247
+ ],
1248
+ "cost": 0.1634
1249
+ },
1250
+ "635_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1251
+ "dispatch": "ANE",
1252
+ "supported": [
1253
+ "CPU",
1254
+ "ANE"
1255
+ ],
1256
+ "cost": 0.1635
1257
+ },
1258
+ "637_ios16.reshape_shape_x": {
1259
+ "dispatch": "ANE",
1260
+ "supported": [
1261
+ "CPU",
1262
+ "ANE"
1263
+ ],
1264
+ "cost": 0.0328
1265
+ },
1266
+ "639_ios16.mul_x_y": {
1267
+ "dispatch": "ANE",
1268
+ "supported": [
1269
+ "CPU",
1270
+ "ANE"
1271
+ ],
1272
+ "cost": 0.0299
1273
+ },
1274
+ "641_ios16.reshape_shape_x": {
1275
+ "dispatch": "ANE",
1276
+ "supported": [
1277
+ "CPU",
1278
+ "ANE"
1279
+ ],
1280
+ "cost": 0.0328
1281
+ },
1282
+ "644_ios16.matmul_y_transpose_y_transpose_x_x": {
1283
+ "dispatch": "ANE",
1284
+ "supported": [
1285
+ "CPU",
1286
+ "ANE"
1287
+ ],
1288
+ "cost": 0.417
1289
+ },
1290
+ "645_ios16.softmax_axis_x": {
1291
+ "dispatch": "ANE",
1292
+ "supported": [
1293
+ "CPU",
1294
+ "ANE"
1295
+ ],
1296
+ "cost": 0.7684
1297
+ },
1298
+ "647_ios16.reshape_shape_x": {
1299
+ "dispatch": "ANE",
1300
+ "supported": [
1301
+ "CPU",
1302
+ "ANE"
1303
+ ],
1304
+ "cost": 0.0328
1305
+ },
1306
+ "650_ios16.matmul_y_transpose_y_transpose_x_x": {
1307
+ "dispatch": "ANE",
1308
+ "supported": [
1309
+ "CPU",
1310
+ "ANE"
1311
+ ],
1312
+ "cost": 0.417
1313
+ },
1314
+ "652_ios16.reshape_shape_x": {
1315
+ "dispatch": "ANE",
1316
+ "supported": [
1317
+ "CPU",
1318
+ "ANE"
1319
+ ],
1320
+ "cost": 0.0328
1321
+ },
1322
+ "660_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1323
+ "dispatch": "ANE",
1324
+ "supported": [
1325
+ "CPU",
1326
+ "ANE"
1327
+ ],
1328
+ "cost": 0.1635
1329
+ },
1330
+ "661_ios16.add_x_y": {
1331
+ "dispatch": "ANE",
1332
+ "supported": [
1333
+ "CPU",
1334
+ "ANE"
1335
+ ],
1336
+ "cost": 0.0729
1337
+ },
1338
+ "664_ios16.layer_norm_epsilon_x_axes": {
1339
+ "dispatch": "ANE",
1340
+ "supported": [
1341
+ "CPU",
1342
+ "ANE"
1343
+ ],
1344
+ "cost": 0.0328
1345
+ },
1346
+ "668_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1347
+ "dispatch": "ANE",
1348
+ "supported": [
1349
+ "CPU",
1350
+ "ANE"
1351
+ ],
1352
+ "cost": 0.0328
1353
+ },
1354
+ "676_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1355
+ "dispatch": "ANE",
1356
+ "supported": [
1357
+ "CPU",
1358
+ "ANE"
1359
+ ],
1360
+ "cost": 0.654
1361
+ },
1362
+ "678_ios16.gelu_mode_x": {
1363
+ "dispatch": "ANE",
1364
+ "supported": [
1365
+ "CPU",
1366
+ "ANE"
1367
+ ],
1368
+ "cost": 0.1311
1369
+ },
1370
+ "686_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1371
+ "dispatch": "ANE",
1372
+ "supported": [
1373
+ "CPU",
1374
+ "ANE"
1375
+ ],
1376
+ "cost": 0.6537
1377
+ },
1378
+ "687_ios16.add_x_y": {
1379
+ "dispatch": "ANE",
1380
+ "supported": [
1381
+ "CPU",
1382
+ "ANE"
1383
+ ],
1384
+ "cost": 0.0729
1385
+ },
1386
+ "691_ios16.layer_norm_epsilon_x_axes": {
1387
+ "dispatch": "ANE",
1388
+ "supported": [
1389
+ "CPU",
1390
+ "ANE"
1391
+ ],
1392
+ "cost": 0.0328
1393
+ },
1394
+ "695_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1395
+ "dispatch": "ANE",
1396
+ "supported": [
1397
+ "CPU",
1398
+ "ANE"
1399
+ ],
1400
+ "cost": 0.0328
1401
+ },
1402
+ "703_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1403
+ "dispatch": "ANE",
1404
+ "supported": [
1405
+ "CPU",
1406
+ "ANE"
1407
+ ],
1408
+ "cost": 0.1635
1409
+ },
1410
+ "710_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
1411
+ "dispatch": "ANE",
1412
+ "supported": [
1413
+ "CPU",
1414
+ "ANE"
1415
+ ],
1416
+ "cost": 0.1634
1417
+ },
1418
+ "718_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1419
+ "dispatch": "ANE",
1420
+ "supported": [
1421
+ "CPU",
1422
+ "ANE"
1423
+ ],
1424
+ "cost": 0.1635
1425
+ },
1426
+ "720_ios16.reshape_shape_x": {
1427
+ "dispatch": "ANE",
1428
+ "supported": [
1429
+ "CPU",
1430
+ "ANE"
1431
+ ],
1432
+ "cost": 0.0328
1433
+ },
1434
+ "722_ios16.mul_x_y": {
1435
+ "dispatch": "ANE",
1436
+ "supported": [
1437
+ "CPU",
1438
+ "ANE"
1439
+ ],
1440
+ "cost": 0.0299
1441
+ },
1442
+ "724_ios16.reshape_shape_x": {
1443
+ "dispatch": "ANE",
1444
+ "supported": [
1445
+ "CPU",
1446
+ "ANE"
1447
+ ],
1448
+ "cost": 0.0328
1449
+ },
1450
+ "727_ios16.matmul_y_transpose_y_transpose_x_x": {
1451
+ "dispatch": "ANE",
1452
+ "supported": [
1453
+ "CPU",
1454
+ "ANE"
1455
+ ],
1456
+ "cost": 0.417
1457
+ },
1458
+ "728_ios16.softmax_axis_x": {
1459
+ "dispatch": "ANE",
1460
+ "supported": [
1461
+ "CPU",
1462
+ "ANE"
1463
+ ],
1464
+ "cost": 0.7684
1465
+ },
1466
+ "730_ios16.reshape_shape_x": {
1467
+ "dispatch": "ANE",
1468
+ "supported": [
1469
+ "CPU",
1470
+ "ANE"
1471
+ ],
1472
+ "cost": 0.0328
1473
+ },
1474
+ "733_ios16.matmul_y_transpose_y_transpose_x_x": {
1475
+ "dispatch": "ANE",
1476
+ "supported": [
1477
+ "CPU",
1478
+ "ANE"
1479
+ ],
1480
+ "cost": 0.417
1481
+ },
1482
+ "735_ios16.reshape_shape_x": {
1483
+ "dispatch": "ANE",
1484
+ "supported": [
1485
+ "CPU",
1486
+ "ANE"
1487
+ ],
1488
+ "cost": 0.0328
1489
+ },
1490
+ "743_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1491
+ "dispatch": "ANE",
1492
+ "supported": [
1493
+ "CPU",
1494
+ "ANE"
1495
+ ],
1496
+ "cost": 0.1635
1497
+ },
1498
+ "744_ios16.add_x_y": {
1499
+ "dispatch": "ANE",
1500
+ "supported": [
1501
+ "CPU",
1502
+ "ANE"
1503
+ ],
1504
+ "cost": 0.0729
1505
+ },
1506
+ "747_ios16.layer_norm_epsilon_x_axes": {
1507
+ "dispatch": "ANE",
1508
+ "supported": [
1509
+ "CPU",
1510
+ "ANE"
1511
+ ],
1512
+ "cost": 0.0328
1513
+ },
1514
+ "751_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1515
+ "dispatch": "ANE",
1516
+ "supported": [
1517
+ "CPU",
1518
+ "ANE"
1519
+ ],
1520
+ "cost": 0.0328
1521
+ },
1522
+ "759_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1523
+ "dispatch": "ANE",
1524
+ "supported": [
1525
+ "CPU",
1526
+ "ANE"
1527
+ ],
1528
+ "cost": 0.654
1529
+ },
1530
+ "761_ios16.gelu_mode_x": {
1531
+ "dispatch": "ANE",
1532
+ "supported": [
1533
+ "CPU",
1534
+ "ANE"
1535
+ ],
1536
+ "cost": 0.1311
1537
+ },
1538
+ "769_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1539
+ "dispatch": "ANE",
1540
+ "supported": [
1541
+ "CPU",
1542
+ "ANE"
1543
+ ],
1544
+ "cost": 0.6537
1545
+ },
1546
+ "770_ios16.add_x_y": {
1547
+ "dispatch": "ANE",
1548
+ "supported": [
1549
+ "CPU",
1550
+ "ANE"
1551
+ ],
1552
+ "cost": 0.0729
1553
+ },
1554
+ "774_ios16.layer_norm_epsilon_x_axes": {
1555
+ "dispatch": "ANE",
1556
+ "supported": [
1557
+ "CPU",
1558
+ "ANE"
1559
+ ],
1560
+ "cost": 0.0328
1561
+ },
1562
+ "778_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1563
+ "dispatch": "ANE",
1564
+ "supported": [
1565
+ "CPU",
1566
+ "ANE"
1567
+ ],
1568
+ "cost": 0.0328
1569
+ },
1570
+ "786_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1571
+ "dispatch": "ANE",
1572
+ "supported": [
1573
+ "CPU",
1574
+ "ANE"
1575
+ ],
1576
+ "cost": 0.1635
1577
+ },
1578
+ "793_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
1579
+ "dispatch": "ANE",
1580
+ "supported": [
1581
+ "CPU",
1582
+ "ANE"
1583
+ ],
1584
+ "cost": 0.1634
1585
+ },
1586
+ "801_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1587
+ "dispatch": "ANE",
1588
+ "supported": [
1589
+ "CPU",
1590
+ "ANE"
1591
+ ],
1592
+ "cost": 0.1635
1593
+ },
1594
+ "803_ios16.reshape_shape_x": {
1595
+ "dispatch": "ANE",
1596
+ "supported": [
1597
+ "CPU",
1598
+ "ANE"
1599
+ ],
1600
+ "cost": 0.0328
1601
+ },
1602
+ "805_ios16.mul_x_y": {
1603
+ "dispatch": "ANE",
1604
+ "supported": [
1605
+ "CPU",
1606
+ "ANE"
1607
+ ],
1608
+ "cost": 0.0299
1609
+ },
1610
+ "807_ios16.reshape_shape_x": {
1611
+ "dispatch": "ANE",
1612
+ "supported": [
1613
+ "CPU",
1614
+ "ANE"
1615
+ ],
1616
+ "cost": 0.0328
1617
+ },
1618
+ "810_ios16.matmul_y_transpose_y_transpose_x_x": {
1619
+ "dispatch": "ANE",
1620
+ "supported": [
1621
+ "CPU",
1622
+ "ANE"
1623
+ ],
1624
+ "cost": 0.417
1625
+ },
1626
+ "811_ios16.softmax_axis_x": {
1627
+ "dispatch": "ANE",
1628
+ "supported": [
1629
+ "CPU",
1630
+ "ANE"
1631
+ ],
1632
+ "cost": 0.7684
1633
+ },
1634
+ "813_ios16.reshape_shape_x": {
1635
+ "dispatch": "ANE",
1636
+ "supported": [
1637
+ "CPU",
1638
+ "ANE"
1639
+ ],
1640
+ "cost": 0.0328
1641
+ },
1642
+ "816_ios16.matmul_y_transpose_y_transpose_x_x": {
1643
+ "dispatch": "ANE",
1644
+ "supported": [
1645
+ "CPU",
1646
+ "ANE"
1647
+ ],
1648
+ "cost": 0.417
1649
+ },
1650
+ "818_ios16.reshape_shape_x": {
1651
+ "dispatch": "ANE",
1652
+ "supported": [
1653
+ "CPU",
1654
+ "ANE"
1655
+ ],
1656
+ "cost": 0.0328
1657
+ },
1658
+ "826_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1659
+ "dispatch": "ANE",
1660
+ "supported": [
1661
+ "CPU",
1662
+ "ANE"
1663
+ ],
1664
+ "cost": 0.1635
1665
+ },
1666
+ "827_ios16.add_x_y": {
1667
+ "dispatch": "ANE",
1668
+ "supported": [
1669
+ "CPU",
1670
+ "ANE"
1671
+ ],
1672
+ "cost": 0.0729
1673
+ },
1674
+ "830_ios16.layer_norm_epsilon_x_axes": {
1675
+ "dispatch": "ANE",
1676
+ "supported": [
1677
+ "CPU",
1678
+ "ANE"
1679
+ ],
1680
+ "cost": 0.0328
1681
+ },
1682
+ "834_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1683
+ "dispatch": "ANE",
1684
+ "supported": [
1685
+ "CPU",
1686
+ "ANE"
1687
+ ],
1688
+ "cost": 0.0328
1689
+ },
1690
+ "842_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1691
+ "dispatch": "ANE",
1692
+ "supported": [
1693
+ "CPU",
1694
+ "ANE"
1695
+ ],
1696
+ "cost": 0.654
1697
+ },
1698
+ "844_ios16.gelu_mode_x": {
1699
+ "dispatch": "ANE",
1700
+ "supported": [
1701
+ "CPU",
1702
+ "ANE"
1703
+ ],
1704
+ "cost": 0.1311
1705
+ },
1706
+ "852_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1707
+ "dispatch": "ANE",
1708
+ "supported": [
1709
+ "CPU",
1710
+ "ANE"
1711
+ ],
1712
+ "cost": 0.6537
1713
+ },
1714
+ "853_ios16.add_x_y": {
1715
+ "dispatch": "ANE",
1716
+ "supported": [
1717
+ "CPU",
1718
+ "ANE"
1719
+ ],
1720
+ "cost": 0.0729
1721
+ },
1722
+ "857_ios16.layer_norm_epsilon_x_axes": {
1723
+ "dispatch": "ANE",
1724
+ "supported": [
1725
+ "CPU",
1726
+ "ANE"
1727
+ ],
1728
+ "cost": 0.0328
1729
+ },
1730
+ "861_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1731
+ "dispatch": "ANE",
1732
+ "supported": [
1733
+ "CPU",
1734
+ "ANE"
1735
+ ],
1736
+ "cost": 0.0328
1737
+ },
1738
+ "869_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1739
+ "dispatch": "ANE",
1740
+ "supported": [
1741
+ "CPU",
1742
+ "ANE"
1743
+ ],
1744
+ "cost": 0.1635
1745
+ },
1746
+ "876_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
1747
+ "dispatch": "ANE",
1748
+ "supported": [
1749
+ "CPU",
1750
+ "ANE"
1751
+ ],
1752
+ "cost": 0.1634
1753
+ },
1754
+ "884_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1755
+ "dispatch": "ANE",
1756
+ "supported": [
1757
+ "CPU",
1758
+ "ANE"
1759
+ ],
1760
+ "cost": 0.1635
1761
+ },
1762
+ "886_ios16.reshape_shape_x": {
1763
+ "dispatch": "ANE",
1764
+ "supported": [
1765
+ "CPU",
1766
+ "ANE"
1767
+ ],
1768
+ "cost": 0.0328
1769
+ },
1770
+ "888_ios16.mul_x_y": {
1771
+ "dispatch": "ANE",
1772
+ "supported": [
1773
+ "CPU",
1774
+ "ANE"
1775
+ ],
1776
+ "cost": 0.0299
1777
+ },
1778
+ "890_ios16.reshape_shape_x": {
1779
+ "dispatch": "ANE",
1780
+ "supported": [
1781
+ "CPU",
1782
+ "ANE"
1783
+ ],
1784
+ "cost": 0.0328
1785
+ },
1786
+ "893_ios16.matmul_y_transpose_y_transpose_x_x": {
1787
+ "dispatch": "ANE",
1788
+ "supported": [
1789
+ "CPU",
1790
+ "ANE"
1791
+ ],
1792
+ "cost": 0.417
1793
+ },
1794
+ "894_ios16.softmax_axis_x": {
1795
+ "dispatch": "ANE",
1796
+ "supported": [
1797
+ "CPU",
1798
+ "ANE"
1799
+ ],
1800
+ "cost": 0.7684
1801
+ },
1802
+ "896_ios16.reshape_shape_x": {
1803
+ "dispatch": "ANE",
1804
+ "supported": [
1805
+ "CPU",
1806
+ "ANE"
1807
+ ],
1808
+ "cost": 0.0328
1809
+ },
1810
+ "899_ios16.matmul_y_transpose_y_transpose_x_x": {
1811
+ "dispatch": "ANE",
1812
+ "supported": [
1813
+ "CPU",
1814
+ "ANE"
1815
+ ],
1816
+ "cost": 0.417
1817
+ },
1818
+ "901_ios16.reshape_shape_x": {
1819
+ "dispatch": "ANE",
1820
+ "supported": [
1821
+ "CPU",
1822
+ "ANE"
1823
+ ],
1824
+ "cost": 0.0328
1825
+ },
1826
+ "909_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1827
+ "dispatch": "ANE",
1828
+ "supported": [
1829
+ "CPU",
1830
+ "ANE"
1831
+ ],
1832
+ "cost": 0.1635
1833
+ },
1834
+ "910_ios16.add_x_y": {
1835
+ "dispatch": "ANE",
1836
+ "supported": [
1837
+ "CPU",
1838
+ "ANE"
1839
+ ],
1840
+ "cost": 0.0729
1841
+ },
1842
+ "913_ios16.layer_norm_epsilon_x_axes": {
1843
+ "dispatch": "ANE",
1844
+ "supported": [
1845
+ "CPU",
1846
+ "ANE"
1847
+ ],
1848
+ "cost": 0.0328
1849
+ },
1850
+ "917_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1851
+ "dispatch": "ANE",
1852
+ "supported": [
1853
+ "CPU",
1854
+ "ANE"
1855
+ ],
1856
+ "cost": 0.0328
1857
+ },
1858
+ "925_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1859
+ "dispatch": "ANE",
1860
+ "supported": [
1861
+ "CPU",
1862
+ "ANE"
1863
+ ],
1864
+ "cost": 0.654
1865
+ },
1866
+ "927_ios16.gelu_mode_x": {
1867
+ "dispatch": "ANE",
1868
+ "supported": [
1869
+ "CPU",
1870
+ "ANE"
1871
+ ],
1872
+ "cost": 0.1311
1873
+ },
1874
+ "935_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1875
+ "dispatch": "ANE",
1876
+ "supported": [
1877
+ "CPU",
1878
+ "ANE"
1879
+ ],
1880
+ "cost": 0.6537
1881
+ },
1882
+ "936_ios16.add_x_y": {
1883
+ "dispatch": "ANE",
1884
+ "supported": [
1885
+ "CPU",
1886
+ "ANE"
1887
+ ],
1888
+ "cost": 0.0729
1889
+ },
1890
+ "940_ios16.layer_norm_epsilon_x_axes": {
1891
+ "dispatch": "ANE",
1892
+ "supported": [
1893
+ "CPU",
1894
+ "ANE"
1895
+ ],
1896
+ "cost": 0.0328
1897
+ },
1898
+ "944_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
1899
+ "dispatch": "ANE",
1900
+ "supported": [
1901
+ "CPU",
1902
+ "ANE"
1903
+ ],
1904
+ "cost": 0.0328
1905
+ },
1906
+ "952_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1907
+ "dispatch": "ANE",
1908
+ "supported": [
1909
+ "CPU",
1910
+ "ANE"
1911
+ ],
1912
+ "cost": 0.1635
1913
+ },
1914
+ "959_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
1915
+ "dispatch": "ANE",
1916
+ "supported": [
1917
+ "CPU",
1918
+ "ANE"
1919
+ ],
1920
+ "cost": 0.1634
1921
+ },
1922
+ "967_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1923
+ "dispatch": "ANE",
1924
+ "supported": [
1925
+ "CPU",
1926
+ "ANE"
1927
+ ],
1928
+ "cost": 0.1635
1929
+ },
1930
+ "969_ios16.reshape_shape_x": {
1931
+ "dispatch": "ANE",
1932
+ "supported": [
1933
+ "CPU",
1934
+ "ANE"
1935
+ ],
1936
+ "cost": 0.0328
1937
+ },
1938
+ "971_ios16.mul_x_y": {
1939
+ "dispatch": "ANE",
1940
+ "supported": [
1941
+ "CPU",
1942
+ "ANE"
1943
+ ],
1944
+ "cost": 0.0299
1945
+ },
1946
+ "973_ios16.reshape_shape_x": {
1947
+ "dispatch": "ANE",
1948
+ "supported": [
1949
+ "CPU",
1950
+ "ANE"
1951
+ ],
1952
+ "cost": 0.0328
1953
+ },
1954
+ "976_ios16.matmul_y_transpose_y_transpose_x_x": {
1955
+ "dispatch": "ANE",
1956
+ "supported": [
1957
+ "CPU",
1958
+ "ANE"
1959
+ ],
1960
+ "cost": 0.417
1961
+ },
1962
+ "977_ios16.softmax_axis_x": {
1963
+ "dispatch": "ANE",
1964
+ "supported": [
1965
+ "CPU",
1966
+ "ANE"
1967
+ ],
1968
+ "cost": 0.7684
1969
+ },
1970
+ "979_ios16.reshape_shape_x": {
1971
+ "dispatch": "ANE",
1972
+ "supported": [
1973
+ "CPU",
1974
+ "ANE"
1975
+ ],
1976
+ "cost": 0.0328
1977
+ },
1978
+ "982_ios16.matmul_y_transpose_y_transpose_x_x": {
1979
+ "dispatch": "ANE",
1980
+ "supported": [
1981
+ "CPU",
1982
+ "ANE"
1983
+ ],
1984
+ "cost": 0.417
1985
+ },
1986
+ "984_ios16.reshape_shape_x": {
1987
+ "dispatch": "ANE",
1988
+ "supported": [
1989
+ "CPU",
1990
+ "ANE"
1991
+ ],
1992
+ "cost": 0.0328
1993
+ },
1994
+ "992_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
1995
+ "dispatch": "ANE",
1996
+ "supported": [
1997
+ "CPU",
1998
+ "ANE"
1999
+ ],
2000
+ "cost": 0.1635
2001
+ },
2002
+ "993_ios16.add_x_y": {
2003
+ "dispatch": "ANE",
2004
+ "supported": [
2005
+ "CPU",
2006
+ "ANE"
2007
+ ],
2008
+ "cost": 0.0729
2009
+ },
2010
+ "996_ios16.layer_norm_epsilon_x_axes": {
2011
+ "dispatch": "ANE",
2012
+ "supported": [
2013
+ "CPU",
2014
+ "ANE"
2015
+ ],
2016
+ "cost": 0.0328
2017
+ },
2018
+ "1000_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2019
+ "dispatch": "ANE",
2020
+ "supported": [
2021
+ "CPU",
2022
+ "ANE"
2023
+ ],
2024
+ "cost": 0.0328
2025
+ },
2026
+ "1008_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2027
+ "dispatch": "ANE",
2028
+ "supported": [
2029
+ "CPU",
2030
+ "ANE"
2031
+ ],
2032
+ "cost": 0.654
2033
+ },
2034
+ "1010_ios16.gelu_mode_x": {
2035
+ "dispatch": "ANE",
2036
+ "supported": [
2037
+ "CPU",
2038
+ "ANE"
2039
+ ],
2040
+ "cost": 0.1311
2041
+ },
2042
+ "1018_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2043
+ "dispatch": "ANE",
2044
+ "supported": [
2045
+ "CPU",
2046
+ "ANE"
2047
+ ],
2048
+ "cost": 0.6537
2049
+ },
2050
+ "1019_ios16.add_x_y": {
2051
+ "dispatch": "ANE",
2052
+ "supported": [
2053
+ "CPU",
2054
+ "ANE"
2055
+ ],
2056
+ "cost": 0.0729
2057
+ },
2058
+ "1023_ios16.layer_norm_epsilon_x_axes": {
2059
+ "dispatch": "ANE",
2060
+ "supported": [
2061
+ "CPU",
2062
+ "ANE"
2063
+ ],
2064
+ "cost": 0.0328
2065
+ },
2066
+ "1027_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2067
+ "dispatch": "ANE",
2068
+ "supported": [
2069
+ "CPU",
2070
+ "ANE"
2071
+ ],
2072
+ "cost": 0.0328
2073
+ },
2074
+ "1035_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2075
+ "dispatch": "ANE",
2076
+ "supported": [
2077
+ "CPU",
2078
+ "ANE"
2079
+ ],
2080
+ "cost": 0.1635
2081
+ },
2082
+ "1042_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
2083
+ "dispatch": "ANE",
2084
+ "supported": [
2085
+ "CPU",
2086
+ "ANE"
2087
+ ],
2088
+ "cost": 0.1634
2089
+ },
2090
+ "1050_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2091
+ "dispatch": "ANE",
2092
+ "supported": [
2093
+ "CPU",
2094
+ "ANE"
2095
+ ],
2096
+ "cost": 0.1635
2097
+ },
2098
+ "1052_ios16.reshape_shape_x": {
2099
+ "dispatch": "ANE",
2100
+ "supported": [
2101
+ "CPU",
2102
+ "ANE"
2103
+ ],
2104
+ "cost": 0.0328
2105
+ },
2106
+ "1054_ios16.mul_x_y": {
2107
+ "dispatch": "ANE",
2108
+ "supported": [
2109
+ "CPU",
2110
+ "ANE"
2111
+ ],
2112
+ "cost": 0.0299
2113
+ },
2114
+ "1056_ios16.reshape_shape_x": {
2115
+ "dispatch": "ANE",
2116
+ "supported": [
2117
+ "CPU",
2118
+ "ANE"
2119
+ ],
2120
+ "cost": 0.0328
2121
+ },
2122
+ "1059_ios16.matmul_y_transpose_y_transpose_x_x": {
2123
+ "dispatch": "ANE",
2124
+ "supported": [
2125
+ "CPU",
2126
+ "ANE"
2127
+ ],
2128
+ "cost": 0.417
2129
+ },
2130
+ "1060_ios16.softmax_axis_x": {
2131
+ "dispatch": "ANE",
2132
+ "supported": [
2133
+ "CPU",
2134
+ "ANE"
2135
+ ],
2136
+ "cost": 0.7684
2137
+ },
2138
+ "1062_ios16.reshape_shape_x": {
2139
+ "dispatch": "ANE",
2140
+ "supported": [
2141
+ "CPU",
2142
+ "ANE"
2143
+ ],
2144
+ "cost": 0.0328
2145
+ },
2146
+ "1065_ios16.matmul_y_transpose_y_transpose_x_x": {
2147
+ "dispatch": "ANE",
2148
+ "supported": [
2149
+ "CPU",
2150
+ "ANE"
2151
+ ],
2152
+ "cost": 0.417
2153
+ },
2154
+ "1067_ios16.reshape_shape_x": {
2155
+ "dispatch": "ANE",
2156
+ "supported": [
2157
+ "CPU",
2158
+ "ANE"
2159
+ ],
2160
+ "cost": 0.0328
2161
+ },
2162
+ "1075_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2163
+ "dispatch": "ANE",
2164
+ "supported": [
2165
+ "CPU",
2166
+ "ANE"
2167
+ ],
2168
+ "cost": 0.1635
2169
+ },
2170
+ "1076_ios16.add_x_y": {
2171
+ "dispatch": "ANE",
2172
+ "supported": [
2173
+ "CPU",
2174
+ "ANE"
2175
+ ],
2176
+ "cost": 0.0729
2177
+ },
2178
+ "1079_ios16.layer_norm_epsilon_x_axes": {
2179
+ "dispatch": "ANE",
2180
+ "supported": [
2181
+ "CPU",
2182
+ "ANE"
2183
+ ],
2184
+ "cost": 0.0328
2185
+ },
2186
+ "1083_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2187
+ "dispatch": "ANE",
2188
+ "supported": [
2189
+ "CPU",
2190
+ "ANE"
2191
+ ],
2192
+ "cost": 0.0328
2193
+ },
2194
+ "1091_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2195
+ "dispatch": "ANE",
2196
+ "supported": [
2197
+ "CPU",
2198
+ "ANE"
2199
+ ],
2200
+ "cost": 0.654
2201
+ },
2202
+ "1093_ios16.gelu_mode_x": {
2203
+ "dispatch": "ANE",
2204
+ "supported": [
2205
+ "CPU",
2206
+ "ANE"
2207
+ ],
2208
+ "cost": 0.1311
2209
+ },
2210
+ "1101_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2211
+ "dispatch": "ANE",
2212
+ "supported": [
2213
+ "CPU",
2214
+ "ANE"
2215
+ ],
2216
+ "cost": 0.6537
2217
+ },
2218
+ "1102_ios16.add_x_y": {
2219
+ "dispatch": "ANE",
2220
+ "supported": [
2221
+ "CPU",
2222
+ "ANE"
2223
+ ],
2224
+ "cost": 0.0729
2225
+ },
2226
+ "1106_ios16.layer_norm_epsilon_x_axes": {
2227
+ "dispatch": "ANE",
2228
+ "supported": [
2229
+ "CPU",
2230
+ "ANE"
2231
+ ],
2232
+ "cost": 0.0328
2233
+ },
2234
+ "1110_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2235
+ "dispatch": "ANE",
2236
+ "supported": [
2237
+ "CPU",
2238
+ "ANE"
2239
+ ],
2240
+ "cost": 0.0328
2241
+ },
2242
+ "1118_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2243
+ "dispatch": "ANE",
2244
+ "supported": [
2245
+ "CPU",
2246
+ "ANE"
2247
+ ],
2248
+ "cost": 0.1635
2249
+ },
2250
+ "1125_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
2251
+ "dispatch": "ANE",
2252
+ "supported": [
2253
+ "CPU",
2254
+ "ANE"
2255
+ ],
2256
+ "cost": 0.1634
2257
+ },
2258
+ "1133_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2259
+ "dispatch": "ANE",
2260
+ "supported": [
2261
+ "CPU",
2262
+ "ANE"
2263
+ ],
2264
+ "cost": 0.1635
2265
+ },
2266
+ "1135_ios16.reshape_shape_x": {
2267
+ "dispatch": "ANE",
2268
+ "supported": [
2269
+ "CPU",
2270
+ "ANE"
2271
+ ],
2272
+ "cost": 0.0328
2273
+ },
2274
+ "1137_ios16.mul_x_y": {
2275
+ "dispatch": "ANE",
2276
+ "supported": [
2277
+ "CPU",
2278
+ "ANE"
2279
+ ],
2280
+ "cost": 0.0299
2281
+ },
2282
+ "1139_ios16.reshape_shape_x": {
2283
+ "dispatch": "ANE",
2284
+ "supported": [
2285
+ "CPU",
2286
+ "ANE"
2287
+ ],
2288
+ "cost": 0.0328
2289
+ },
2290
+ "1142_ios16.matmul_y_transpose_y_transpose_x_x": {
2291
+ "dispatch": "ANE",
2292
+ "supported": [
2293
+ "CPU",
2294
+ "ANE"
2295
+ ],
2296
+ "cost": 0.417
2297
+ },
2298
+ "1143_ios16.softmax_axis_x": {
2299
+ "dispatch": "ANE",
2300
+ "supported": [
2301
+ "CPU",
2302
+ "ANE"
2303
+ ],
2304
+ "cost": 0.7684
2305
+ },
2306
+ "1145_ios16.reshape_shape_x": {
2307
+ "dispatch": "ANE",
2308
+ "supported": [
2309
+ "CPU",
2310
+ "ANE"
2311
+ ],
2312
+ "cost": 0.0328
2313
+ },
2314
+ "1148_ios16.matmul_y_transpose_y_transpose_x_x": {
2315
+ "dispatch": "ANE",
2316
+ "supported": [
2317
+ "CPU",
2318
+ "ANE"
2319
+ ],
2320
+ "cost": 0.417
2321
+ },
2322
+ "1150_ios16.reshape_shape_x": {
2323
+ "dispatch": "ANE",
2324
+ "supported": [
2325
+ "CPU",
2326
+ "ANE"
2327
+ ],
2328
+ "cost": 0.0328
2329
+ },
2330
+ "1158_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2331
+ "dispatch": "ANE",
2332
+ "supported": [
2333
+ "CPU",
2334
+ "ANE"
2335
+ ],
2336
+ "cost": 0.1635
2337
+ },
2338
+ "1159_ios16.add_x_y": {
2339
+ "dispatch": "ANE",
2340
+ "supported": [
2341
+ "CPU",
2342
+ "ANE"
2343
+ ],
2344
+ "cost": 0.0729
2345
+ },
2346
+ "1162_ios16.layer_norm_epsilon_x_axes": {
2347
+ "dispatch": "ANE",
2348
+ "supported": [
2349
+ "CPU",
2350
+ "ANE"
2351
+ ],
2352
+ "cost": 0.0328
2353
+ },
2354
+ "1166_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2355
+ "dispatch": "ANE",
2356
+ "supported": [
2357
+ "CPU",
2358
+ "ANE"
2359
+ ],
2360
+ "cost": 0.0328
2361
+ },
2362
+ "1174_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2363
+ "dispatch": "ANE",
2364
+ "supported": [
2365
+ "CPU",
2366
+ "ANE"
2367
+ ],
2368
+ "cost": 0.654
2369
+ },
2370
+ "1176_ios16.gelu_mode_x": {
2371
+ "dispatch": "ANE",
2372
+ "supported": [
2373
+ "CPU",
2374
+ "ANE"
2375
+ ],
2376
+ "cost": 0.1311
2377
+ },
2378
+ "1184_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2379
+ "dispatch": "ANE",
2380
+ "supported": [
2381
+ "CPU",
2382
+ "ANE"
2383
+ ],
2384
+ "cost": 0.6537
2385
+ },
2386
+ "1185_ios16.add_x_y": {
2387
+ "dispatch": "ANE",
2388
+ "supported": [
2389
+ "CPU",
2390
+ "ANE"
2391
+ ],
2392
+ "cost": 0.0729
2393
+ },
2394
+ "1189_ios16.layer_norm_epsilon_x_axes": {
2395
+ "dispatch": "ANE",
2396
+ "supported": [
2397
+ "CPU",
2398
+ "ANE"
2399
+ ],
2400
+ "cost": 0.0328
2401
+ },
2402
+ "1193_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2403
+ "dispatch": "ANE",
2404
+ "supported": [
2405
+ "CPU",
2406
+ "ANE"
2407
+ ],
2408
+ "cost": 0.0328
2409
+ },
2410
+ "1201_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2411
+ "dispatch": "ANE",
2412
+ "supported": [
2413
+ "CPU",
2414
+ "ANE"
2415
+ ],
2416
+ "cost": 0.1635
2417
+ },
2418
+ "1208_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
2419
+ "dispatch": "ANE",
2420
+ "supported": [
2421
+ "CPU",
2422
+ "ANE"
2423
+ ],
2424
+ "cost": 0.1634
2425
+ },
2426
+ "1216_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2427
+ "dispatch": "ANE",
2428
+ "supported": [
2429
+ "CPU",
2430
+ "ANE"
2431
+ ],
2432
+ "cost": 0.1635
2433
+ },
2434
+ "1218_ios16.reshape_shape_x": {
2435
+ "dispatch": "ANE",
2436
+ "supported": [
2437
+ "CPU",
2438
+ "ANE"
2439
+ ],
2440
+ "cost": 0.0328
2441
+ },
2442
+ "1220_ios16.mul_x_y": {
2443
+ "dispatch": "ANE",
2444
+ "supported": [
2445
+ "CPU",
2446
+ "ANE"
2447
+ ],
2448
+ "cost": 0.0299
2449
+ },
2450
+ "1222_ios16.reshape_shape_x": {
2451
+ "dispatch": "ANE",
2452
+ "supported": [
2453
+ "CPU",
2454
+ "ANE"
2455
+ ],
2456
+ "cost": 0.0328
2457
+ },
2458
+ "1225_ios16.matmul_y_transpose_y_transpose_x_x": {
2459
+ "dispatch": "ANE",
2460
+ "supported": [
2461
+ "CPU",
2462
+ "ANE"
2463
+ ],
2464
+ "cost": 0.417
2465
+ },
2466
+ "1226_ios16.softmax_axis_x": {
2467
+ "dispatch": "ANE",
2468
+ "supported": [
2469
+ "CPU",
2470
+ "ANE"
2471
+ ],
2472
+ "cost": 0.7684
2473
+ },
2474
+ "1228_ios16.reshape_shape_x": {
2475
+ "dispatch": "ANE",
2476
+ "supported": [
2477
+ "CPU",
2478
+ "ANE"
2479
+ ],
2480
+ "cost": 0.0328
2481
+ },
2482
+ "1231_ios16.matmul_y_transpose_y_transpose_x_x": {
2483
+ "dispatch": "ANE",
2484
+ "supported": [
2485
+ "CPU",
2486
+ "ANE"
2487
+ ],
2488
+ "cost": 0.417
2489
+ },
2490
+ "1233_ios16.reshape_shape_x": {
2491
+ "dispatch": "ANE",
2492
+ "supported": [
2493
+ "CPU",
2494
+ "ANE"
2495
+ ],
2496
+ "cost": 0.0328
2497
+ },
2498
+ "1241_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2499
+ "dispatch": "ANE",
2500
+ "supported": [
2501
+ "CPU",
2502
+ "ANE"
2503
+ ],
2504
+ "cost": 0.1635
2505
+ },
2506
+ "1242_ios16.add_x_y": {
2507
+ "dispatch": "ANE",
2508
+ "supported": [
2509
+ "CPU",
2510
+ "ANE"
2511
+ ],
2512
+ "cost": 0.0729
2513
+ },
2514
+ "1245_ios16.layer_norm_epsilon_x_axes": {
2515
+ "dispatch": "ANE",
2516
+ "supported": [
2517
+ "CPU",
2518
+ "ANE"
2519
+ ],
2520
+ "cost": 0.0328
2521
+ },
2522
+ "1249_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2523
+ "dispatch": "ANE",
2524
+ "supported": [
2525
+ "CPU",
2526
+ "ANE"
2527
+ ],
2528
+ "cost": 0.0328
2529
+ },
2530
+ "1257_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2531
+ "dispatch": "ANE",
2532
+ "supported": [
2533
+ "CPU",
2534
+ "ANE"
2535
+ ],
2536
+ "cost": 0.654
2537
+ },
2538
+ "1259_ios16.gelu_mode_x": {
2539
+ "dispatch": "ANE",
2540
+ "supported": [
2541
+ "CPU",
2542
+ "ANE"
2543
+ ],
2544
+ "cost": 0.1311
2545
+ },
2546
+ "1267_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2547
+ "dispatch": "ANE",
2548
+ "supported": [
2549
+ "CPU",
2550
+ "ANE"
2551
+ ],
2552
+ "cost": 0.6537
2553
+ },
2554
+ "1268_ios16.add_x_y": {
2555
+ "dispatch": "ANE",
2556
+ "supported": [
2557
+ "CPU",
2558
+ "ANE"
2559
+ ],
2560
+ "cost": 0.0729
2561
+ },
2562
+ "1272_ios16.layer_norm_epsilon_x_axes": {
2563
+ "dispatch": "ANE",
2564
+ "supported": [
2565
+ "CPU",
2566
+ "ANE"
2567
+ ],
2568
+ "cost": 0.0328
2569
+ },
2570
+ "1276_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2571
+ "dispatch": "ANE",
2572
+ "supported": [
2573
+ "CPU",
2574
+ "ANE"
2575
+ ],
2576
+ "cost": 0.0328
2577
+ },
2578
+ "1284_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2579
+ "dispatch": "ANE",
2580
+ "supported": [
2581
+ "CPU",
2582
+ "ANE"
2583
+ ],
2584
+ "cost": 0.1635
2585
+ },
2586
+ "1291_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
2587
+ "dispatch": "ANE",
2588
+ "supported": [
2589
+ "CPU",
2590
+ "ANE"
2591
+ ],
2592
+ "cost": 0.1634
2593
+ },
2594
+ "1299_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2595
+ "dispatch": "ANE",
2596
+ "supported": [
2597
+ "CPU",
2598
+ "ANE"
2599
+ ],
2600
+ "cost": 0.1635
2601
+ },
2602
+ "1301_ios16.reshape_shape_x": {
2603
+ "dispatch": "ANE",
2604
+ "supported": [
2605
+ "CPU",
2606
+ "ANE"
2607
+ ],
2608
+ "cost": 0.0328
2609
+ },
2610
+ "1303_ios16.mul_x_y": {
2611
+ "dispatch": "ANE",
2612
+ "supported": [
2613
+ "CPU",
2614
+ "ANE"
2615
+ ],
2616
+ "cost": 0.0299
2617
+ },
2618
+ "1305_ios16.reshape_shape_x": {
2619
+ "dispatch": "ANE",
2620
+ "supported": [
2621
+ "CPU",
2622
+ "ANE"
2623
+ ],
2624
+ "cost": 0.0328
2625
+ },
2626
+ "1308_ios16.matmul_y_transpose_y_transpose_x_x": {
2627
+ "dispatch": "ANE",
2628
+ "supported": [
2629
+ "CPU",
2630
+ "ANE"
2631
+ ],
2632
+ "cost": 0.417
2633
+ },
2634
+ "1309_ios16.softmax_axis_x": {
2635
+ "dispatch": "ANE",
2636
+ "supported": [
2637
+ "CPU",
2638
+ "ANE"
2639
+ ],
2640
+ "cost": 0.7684
2641
+ },
2642
+ "1311_ios16.reshape_shape_x": {
2643
+ "dispatch": "ANE",
2644
+ "supported": [
2645
+ "CPU",
2646
+ "ANE"
2647
+ ],
2648
+ "cost": 0.0328
2649
+ },
2650
+ "1314_ios16.matmul_y_transpose_y_transpose_x_x": {
2651
+ "dispatch": "ANE",
2652
+ "supported": [
2653
+ "CPU",
2654
+ "ANE"
2655
+ ],
2656
+ "cost": 0.417
2657
+ },
2658
+ "1316_ios16.reshape_shape_x": {
2659
+ "dispatch": "ANE",
2660
+ "supported": [
2661
+ "CPU",
2662
+ "ANE"
2663
+ ],
2664
+ "cost": 0.0328
2665
+ },
2666
+ "1324_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2667
+ "dispatch": "ANE",
2668
+ "supported": [
2669
+ "CPU",
2670
+ "ANE"
2671
+ ],
2672
+ "cost": 0.1635
2673
+ },
2674
+ "1325_ios16.add_x_y": {
2675
+ "dispatch": "ANE",
2676
+ "supported": [
2677
+ "CPU",
2678
+ "ANE"
2679
+ ],
2680
+ "cost": 0.0729
2681
+ },
2682
+ "1328_ios16.layer_norm_epsilon_x_axes": {
2683
+ "dispatch": "ANE",
2684
+ "supported": [
2685
+ "CPU",
2686
+ "ANE"
2687
+ ],
2688
+ "cost": 0.0328
2689
+ },
2690
+ "1332_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2691
+ "dispatch": "ANE",
2692
+ "supported": [
2693
+ "CPU",
2694
+ "ANE"
2695
+ ],
2696
+ "cost": 0.0328
2697
+ },
2698
+ "1340_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2699
+ "dispatch": "ANE",
2700
+ "supported": [
2701
+ "CPU",
2702
+ "ANE"
2703
+ ],
2704
+ "cost": 0.654
2705
+ },
2706
+ "1342_ios16.gelu_mode_x": {
2707
+ "dispatch": "ANE",
2708
+ "supported": [
2709
+ "CPU",
2710
+ "ANE"
2711
+ ],
2712
+ "cost": 0.1311
2713
+ },
2714
+ "1350_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2715
+ "dispatch": "ANE",
2716
+ "supported": [
2717
+ "CPU",
2718
+ "ANE"
2719
+ ],
2720
+ "cost": 0.6537
2721
+ },
2722
+ "1351_ios16.add_x_y": {
2723
+ "dispatch": "ANE",
2724
+ "supported": [
2725
+ "CPU",
2726
+ "ANE"
2727
+ ],
2728
+ "cost": 0.0729
2729
+ },
2730
+ "1355_ios16.layer_norm_epsilon_x_axes": {
2731
+ "dispatch": "ANE",
2732
+ "supported": [
2733
+ "CPU",
2734
+ "ANE"
2735
+ ],
2736
+ "cost": 0.0328
2737
+ },
2738
+ "1359_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2739
+ "dispatch": "ANE",
2740
+ "supported": [
2741
+ "CPU",
2742
+ "ANE"
2743
+ ],
2744
+ "cost": 0.0328
2745
+ },
2746
+ "1367_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2747
+ "dispatch": "ANE",
2748
+ "supported": [
2749
+ "CPU",
2750
+ "ANE"
2751
+ ],
2752
+ "cost": 0.1635
2753
+ },
2754
+ "1374_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
2755
+ "dispatch": "ANE",
2756
+ "supported": [
2757
+ "CPU",
2758
+ "ANE"
2759
+ ],
2760
+ "cost": 0.1634
2761
+ },
2762
+ "1382_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2763
+ "dispatch": "ANE",
2764
+ "supported": [
2765
+ "CPU",
2766
+ "ANE"
2767
+ ],
2768
+ "cost": 0.1635
2769
+ },
2770
+ "1384_ios16.reshape_shape_x": {
2771
+ "dispatch": "ANE",
2772
+ "supported": [
2773
+ "CPU",
2774
+ "ANE"
2775
+ ],
2776
+ "cost": 0.0328
2777
+ },
2778
+ "1386_ios16.mul_x_y": {
2779
+ "dispatch": "ANE",
2780
+ "supported": [
2781
+ "CPU",
2782
+ "ANE"
2783
+ ],
2784
+ "cost": 0.0299
2785
+ },
2786
+ "1388_ios16.reshape_shape_x": {
2787
+ "dispatch": "ANE",
2788
+ "supported": [
2789
+ "CPU",
2790
+ "ANE"
2791
+ ],
2792
+ "cost": 0.0328
2793
+ },
2794
+ "1391_ios16.matmul_y_transpose_y_transpose_x_x": {
2795
+ "dispatch": "ANE",
2796
+ "supported": [
2797
+ "CPU",
2798
+ "ANE"
2799
+ ],
2800
+ "cost": 0.417
2801
+ },
2802
+ "1392_ios16.softmax_axis_x": {
2803
+ "dispatch": "ANE",
2804
+ "supported": [
2805
+ "CPU",
2806
+ "ANE"
2807
+ ],
2808
+ "cost": 0.7684
2809
+ },
2810
+ "1394_ios16.reshape_shape_x": {
2811
+ "dispatch": "ANE",
2812
+ "supported": [
2813
+ "CPU",
2814
+ "ANE"
2815
+ ],
2816
+ "cost": 0.0328
2817
+ },
2818
+ "1397_ios16.matmul_y_transpose_y_transpose_x_x": {
2819
+ "dispatch": "ANE",
2820
+ "supported": [
2821
+ "CPU",
2822
+ "ANE"
2823
+ ],
2824
+ "cost": 0.417
2825
+ },
2826
+ "1399_ios16.reshape_shape_x": {
2827
+ "dispatch": "ANE",
2828
+ "supported": [
2829
+ "CPU",
2830
+ "ANE"
2831
+ ],
2832
+ "cost": 0.0328
2833
+ },
2834
+ "1407_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2835
+ "dispatch": "ANE",
2836
+ "supported": [
2837
+ "CPU",
2838
+ "ANE"
2839
+ ],
2840
+ "cost": 0.1635
2841
+ },
2842
+ "1408_ios16.add_x_y": {
2843
+ "dispatch": "ANE",
2844
+ "supported": [
2845
+ "CPU",
2846
+ "ANE"
2847
+ ],
2848
+ "cost": 0.0729
2849
+ },
2850
+ "1411_ios16.layer_norm_epsilon_x_axes": {
2851
+ "dispatch": "ANE",
2852
+ "supported": [
2853
+ "CPU",
2854
+ "ANE"
2855
+ ],
2856
+ "cost": 0.0328
2857
+ },
2858
+ "1415_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2859
+ "dispatch": "ANE",
2860
+ "supported": [
2861
+ "CPU",
2862
+ "ANE"
2863
+ ],
2864
+ "cost": 0.0328
2865
+ },
2866
+ "1423_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2867
+ "dispatch": "ANE",
2868
+ "supported": [
2869
+ "CPU",
2870
+ "ANE"
2871
+ ],
2872
+ "cost": 0.654
2873
+ },
2874
+ "1425_ios16.gelu_mode_x": {
2875
+ "dispatch": "ANE",
2876
+ "supported": [
2877
+ "CPU",
2878
+ "ANE"
2879
+ ],
2880
+ "cost": 0.1311
2881
+ },
2882
+ "1433_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2883
+ "dispatch": "ANE",
2884
+ "supported": [
2885
+ "CPU",
2886
+ "ANE"
2887
+ ],
2888
+ "cost": 0.6537
2889
+ },
2890
+ "1434_ios16.add_x_y": {
2891
+ "dispatch": "ANE",
2892
+ "supported": [
2893
+ "CPU",
2894
+ "ANE"
2895
+ ],
2896
+ "cost": 0.0729
2897
+ },
2898
+ "1438_ios16.layer_norm_epsilon_x_axes": {
2899
+ "dispatch": "ANE",
2900
+ "supported": [
2901
+ "CPU",
2902
+ "ANE"
2903
+ ],
2904
+ "cost": 0.0328
2905
+ },
2906
+ "1442_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
2907
+ "dispatch": "ANE",
2908
+ "supported": [
2909
+ "CPU",
2910
+ "ANE"
2911
+ ],
2912
+ "cost": 0.0328
2913
+ },
2914
+ "1450_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2915
+ "dispatch": "ANE",
2916
+ "supported": [
2917
+ "CPU",
2918
+ "ANE"
2919
+ ],
2920
+ "cost": 0.1635
2921
+ },
2922
+ "1457_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
2923
+ "dispatch": "ANE",
2924
+ "supported": [
2925
+ "CPU",
2926
+ "ANE"
2927
+ ],
2928
+ "cost": 0.1634
2929
+ },
2930
+ "1465_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
2931
+ "dispatch": "ANE",
2932
+ "supported": [
2933
+ "CPU",
2934
+ "ANE"
2935
+ ],
2936
+ "cost": 0.1635
2937
+ },
2938
+ "1467_ios16.reshape_shape_x": {
2939
+ "dispatch": "ANE",
2940
+ "supported": [
2941
+ "CPU",
2942
+ "ANE"
2943
+ ],
2944
+ "cost": 0.0328
2945
+ },
2946
+ "1469_ios16.mul_x_y": {
2947
+ "dispatch": "ANE",
2948
+ "supported": [
2949
+ "CPU",
2950
+ "ANE"
2951
+ ],
2952
+ "cost": 0.0299
2953
+ },
2954
+ "1471_ios16.reshape_shape_x": {
2955
+ "dispatch": "ANE",
2956
+ "supported": [
2957
+ "CPU",
2958
+ "ANE"
2959
+ ],
2960
+ "cost": 0.0328
2961
+ },
2962
+ "1474_ios16.matmul_y_transpose_y_transpose_x_x": {
2963
+ "dispatch": "ANE",
2964
+ "supported": [
2965
+ "CPU",
2966
+ "ANE"
2967
+ ],
2968
+ "cost": 0.417
2969
+ },
2970
+ "1475_ios16.softmax_axis_x": {
2971
+ "dispatch": "ANE",
2972
+ "supported": [
2973
+ "CPU",
2974
+ "ANE"
2975
+ ],
2976
+ "cost": 0.7684
2977
+ },
2978
+ "1477_ios16.reshape_shape_x": {
2979
+ "dispatch": "ANE",
2980
+ "supported": [
2981
+ "CPU",
2982
+ "ANE"
2983
+ ],
2984
+ "cost": 0.0328
2985
+ },
2986
+ "1480_ios16.matmul_y_transpose_y_transpose_x_x": {
2987
+ "dispatch": "ANE",
2988
+ "supported": [
2989
+ "CPU",
2990
+ "ANE"
2991
+ ],
2992
+ "cost": 0.417
2993
+ },
2994
+ "1482_ios16.reshape_shape_x": {
2995
+ "dispatch": "ANE",
2996
+ "supported": [
2997
+ "CPU",
2998
+ "ANE"
2999
+ ],
3000
+ "cost": 0.0328
3001
+ },
3002
+ "1490_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3003
+ "dispatch": "ANE",
3004
+ "supported": [
3005
+ "CPU",
3006
+ "ANE"
3007
+ ],
3008
+ "cost": 0.1635
3009
+ },
3010
+ "1491_ios16.add_x_y": {
3011
+ "dispatch": "ANE",
3012
+ "supported": [
3013
+ "CPU",
3014
+ "ANE"
3015
+ ],
3016
+ "cost": 0.0729
3017
+ },
3018
+ "1494_ios16.layer_norm_epsilon_x_axes": {
3019
+ "dispatch": "ANE",
3020
+ "supported": [
3021
+ "CPU",
3022
+ "ANE"
3023
+ ],
3024
+ "cost": 0.0328
3025
+ },
3026
+ "1498_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3027
+ "dispatch": "ANE",
3028
+ "supported": [
3029
+ "CPU",
3030
+ "ANE"
3031
+ ],
3032
+ "cost": 0.0328
3033
+ },
3034
+ "1506_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3035
+ "dispatch": "ANE",
3036
+ "supported": [
3037
+ "CPU",
3038
+ "ANE"
3039
+ ],
3040
+ "cost": 0.654
3041
+ },
3042
+ "1508_ios16.gelu_mode_x": {
3043
+ "dispatch": "ANE",
3044
+ "supported": [
3045
+ "CPU",
3046
+ "ANE"
3047
+ ],
3048
+ "cost": 0.1311
3049
+ },
3050
+ "1516_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3051
+ "dispatch": "ANE",
3052
+ "supported": [
3053
+ "CPU",
3054
+ "ANE"
3055
+ ],
3056
+ "cost": 0.6537
3057
+ },
3058
+ "1517_ios16.add_x_y": {
3059
+ "dispatch": "ANE",
3060
+ "supported": [
3061
+ "CPU",
3062
+ "ANE"
3063
+ ],
3064
+ "cost": 0.0729
3065
+ },
3066
+ "1521_ios16.layer_norm_epsilon_x_axes": {
3067
+ "dispatch": "ANE",
3068
+ "supported": [
3069
+ "CPU",
3070
+ "ANE"
3071
+ ],
3072
+ "cost": 0.0328
3073
+ },
3074
+ "1525_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3075
+ "dispatch": "ANE",
3076
+ "supported": [
3077
+ "CPU",
3078
+ "ANE"
3079
+ ],
3080
+ "cost": 0.0328
3081
+ },
3082
+ "1533_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3083
+ "dispatch": "ANE",
3084
+ "supported": [
3085
+ "CPU",
3086
+ "ANE"
3087
+ ],
3088
+ "cost": 0.1635
3089
+ },
3090
+ "1540_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
3091
+ "dispatch": "ANE",
3092
+ "supported": [
3093
+ "CPU",
3094
+ "ANE"
3095
+ ],
3096
+ "cost": 0.1634
3097
+ },
3098
+ "1548_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3099
+ "dispatch": "ANE",
3100
+ "supported": [
3101
+ "CPU",
3102
+ "ANE"
3103
+ ],
3104
+ "cost": 0.1635
3105
+ },
3106
+ "1550_ios16.reshape_shape_x": {
3107
+ "dispatch": "ANE",
3108
+ "supported": [
3109
+ "CPU",
3110
+ "ANE"
3111
+ ],
3112
+ "cost": 0.0328
3113
+ },
3114
+ "1552_ios16.mul_x_y": {
3115
+ "dispatch": "ANE",
3116
+ "supported": [
3117
+ "CPU",
3118
+ "ANE"
3119
+ ],
3120
+ "cost": 0.0299
3121
+ },
3122
+ "1554_ios16.reshape_shape_x": {
3123
+ "dispatch": "ANE",
3124
+ "supported": [
3125
+ "CPU",
3126
+ "ANE"
3127
+ ],
3128
+ "cost": 0.0328
3129
+ },
3130
+ "1557_ios16.matmul_y_transpose_y_transpose_x_x": {
3131
+ "dispatch": "ANE",
3132
+ "supported": [
3133
+ "CPU",
3134
+ "ANE"
3135
+ ],
3136
+ "cost": 0.417
3137
+ },
3138
+ "1558_ios16.softmax_axis_x": {
3139
+ "dispatch": "ANE",
3140
+ "supported": [
3141
+ "CPU",
3142
+ "ANE"
3143
+ ],
3144
+ "cost": 0.7684
3145
+ },
3146
+ "1560_ios16.reshape_shape_x": {
3147
+ "dispatch": "ANE",
3148
+ "supported": [
3149
+ "CPU",
3150
+ "ANE"
3151
+ ],
3152
+ "cost": 0.0328
3153
+ },
3154
+ "1563_ios16.matmul_y_transpose_y_transpose_x_x": {
3155
+ "dispatch": "ANE",
3156
+ "supported": [
3157
+ "CPU",
3158
+ "ANE"
3159
+ ],
3160
+ "cost": 0.417
3161
+ },
3162
+ "1565_ios16.reshape_shape_x": {
3163
+ "dispatch": "ANE",
3164
+ "supported": [
3165
+ "CPU",
3166
+ "ANE"
3167
+ ],
3168
+ "cost": 0.0328
3169
+ },
3170
+ "1573_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3171
+ "dispatch": "ANE",
3172
+ "supported": [
3173
+ "CPU",
3174
+ "ANE"
3175
+ ],
3176
+ "cost": 0.1635
3177
+ },
3178
+ "1574_ios16.add_x_y": {
3179
+ "dispatch": "ANE",
3180
+ "supported": [
3181
+ "CPU",
3182
+ "ANE"
3183
+ ],
3184
+ "cost": 0.0729
3185
+ },
3186
+ "1577_ios16.layer_norm_epsilon_x_axes": {
3187
+ "dispatch": "ANE",
3188
+ "supported": [
3189
+ "CPU",
3190
+ "ANE"
3191
+ ],
3192
+ "cost": 0.0328
3193
+ },
3194
+ "1581_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3195
+ "dispatch": "ANE",
3196
+ "supported": [
3197
+ "CPU",
3198
+ "ANE"
3199
+ ],
3200
+ "cost": 0.0328
3201
+ },
3202
+ "1589_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3203
+ "dispatch": "ANE",
3204
+ "supported": [
3205
+ "CPU",
3206
+ "ANE"
3207
+ ],
3208
+ "cost": 0.654
3209
+ },
3210
+ "1591_ios16.gelu_mode_x": {
3211
+ "dispatch": "ANE",
3212
+ "supported": [
3213
+ "CPU",
3214
+ "ANE"
3215
+ ],
3216
+ "cost": 0.1311
3217
+ },
3218
+ "1599_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3219
+ "dispatch": "ANE",
3220
+ "supported": [
3221
+ "CPU",
3222
+ "ANE"
3223
+ ],
3224
+ "cost": 0.6537
3225
+ },
3226
+ "1600_ios16.add_x_y": {
3227
+ "dispatch": "ANE",
3228
+ "supported": [
3229
+ "CPU",
3230
+ "ANE"
3231
+ ],
3232
+ "cost": 0.0729
3233
+ },
3234
+ "1604_ios16.layer_norm_epsilon_x_axes": {
3235
+ "dispatch": "ANE",
3236
+ "supported": [
3237
+ "CPU",
3238
+ "ANE"
3239
+ ],
3240
+ "cost": 0.0328
3241
+ },
3242
+ "1608_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3243
+ "dispatch": "ANE",
3244
+ "supported": [
3245
+ "CPU",
3246
+ "ANE"
3247
+ ],
3248
+ "cost": 0.0328
3249
+ },
3250
+ "1616_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3251
+ "dispatch": "ANE",
3252
+ "supported": [
3253
+ "CPU",
3254
+ "ANE"
3255
+ ],
3256
+ "cost": 0.1635
3257
+ },
3258
+ "1623_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
3259
+ "dispatch": "ANE",
3260
+ "supported": [
3261
+ "CPU",
3262
+ "ANE"
3263
+ ],
3264
+ "cost": 0.1634
3265
+ },
3266
+ "1631_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3267
+ "dispatch": "ANE",
3268
+ "supported": [
3269
+ "CPU",
3270
+ "ANE"
3271
+ ],
3272
+ "cost": 0.1635
3273
+ },
3274
+ "1633_ios16.reshape_shape_x": {
3275
+ "dispatch": "ANE",
3276
+ "supported": [
3277
+ "CPU",
3278
+ "ANE"
3279
+ ],
3280
+ "cost": 0.0328
3281
+ },
3282
+ "1635_ios16.mul_x_y": {
3283
+ "dispatch": "ANE",
3284
+ "supported": [
3285
+ "CPU",
3286
+ "ANE"
3287
+ ],
3288
+ "cost": 0.0299
3289
+ },
3290
+ "1637_ios16.reshape_shape_x": {
3291
+ "dispatch": "ANE",
3292
+ "supported": [
3293
+ "CPU",
3294
+ "ANE"
3295
+ ],
3296
+ "cost": 0.0328
3297
+ },
3298
+ "1640_ios16.matmul_y_transpose_y_transpose_x_x": {
3299
+ "dispatch": "ANE",
3300
+ "supported": [
3301
+ "CPU",
3302
+ "ANE"
3303
+ ],
3304
+ "cost": 0.417
3305
+ },
3306
+ "1641_ios16.softmax_axis_x": {
3307
+ "dispatch": "ANE",
3308
+ "supported": [
3309
+ "CPU",
3310
+ "ANE"
3311
+ ],
3312
+ "cost": 0.7684
3313
+ },
3314
+ "1643_ios16.reshape_shape_x": {
3315
+ "dispatch": "ANE",
3316
+ "supported": [
3317
+ "CPU",
3318
+ "ANE"
3319
+ ],
3320
+ "cost": 0.0328
3321
+ },
3322
+ "1646_ios16.matmul_y_transpose_y_transpose_x_x": {
3323
+ "dispatch": "ANE",
3324
+ "supported": [
3325
+ "CPU",
3326
+ "ANE"
3327
+ ],
3328
+ "cost": 0.417
3329
+ },
3330
+ "1648_ios16.reshape_shape_x": {
3331
+ "dispatch": "ANE",
3332
+ "supported": [
3333
+ "CPU",
3334
+ "ANE"
3335
+ ],
3336
+ "cost": 0.0328
3337
+ },
3338
+ "1656_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3339
+ "dispatch": "ANE",
3340
+ "supported": [
3341
+ "CPU",
3342
+ "ANE"
3343
+ ],
3344
+ "cost": 0.1635
3345
+ },
3346
+ "1657_ios16.add_x_y": {
3347
+ "dispatch": "ANE",
3348
+ "supported": [
3349
+ "CPU",
3350
+ "ANE"
3351
+ ],
3352
+ "cost": 0.0729
3353
+ },
3354
+ "1660_ios16.layer_norm_epsilon_x_axes": {
3355
+ "dispatch": "ANE",
3356
+ "supported": [
3357
+ "CPU",
3358
+ "ANE"
3359
+ ],
3360
+ "cost": 0.0328
3361
+ },
3362
+ "1664_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3363
+ "dispatch": "ANE",
3364
+ "supported": [
3365
+ "CPU",
3366
+ "ANE"
3367
+ ],
3368
+ "cost": 0.0328
3369
+ },
3370
+ "1672_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3371
+ "dispatch": "ANE",
3372
+ "supported": [
3373
+ "CPU",
3374
+ "ANE"
3375
+ ],
3376
+ "cost": 0.654
3377
+ },
3378
+ "1674_ios16.gelu_mode_x": {
3379
+ "dispatch": "ANE",
3380
+ "supported": [
3381
+ "CPU",
3382
+ "ANE"
3383
+ ],
3384
+ "cost": 0.1311
3385
+ },
3386
+ "1682_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3387
+ "dispatch": "ANE",
3388
+ "supported": [
3389
+ "CPU",
3390
+ "ANE"
3391
+ ],
3392
+ "cost": 0.6537
3393
+ },
3394
+ "1683_ios16.add_x_y": {
3395
+ "dispatch": "ANE",
3396
+ "supported": [
3397
+ "CPU",
3398
+ "ANE"
3399
+ ],
3400
+ "cost": 0.0729
3401
+ },
3402
+ "1687_ios16.layer_norm_epsilon_x_axes": {
3403
+ "dispatch": "ANE",
3404
+ "supported": [
3405
+ "CPU",
3406
+ "ANE"
3407
+ ],
3408
+ "cost": 0.0328
3409
+ },
3410
+ "1691_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3411
+ "dispatch": "ANE",
3412
+ "supported": [
3413
+ "CPU",
3414
+ "ANE"
3415
+ ],
3416
+ "cost": 0.0328
3417
+ },
3418
+ "1699_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3419
+ "dispatch": "ANE",
3420
+ "supported": [
3421
+ "CPU",
3422
+ "ANE"
3423
+ ],
3424
+ "cost": 0.1635
3425
+ },
3426
+ "1706_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
3427
+ "dispatch": "ANE",
3428
+ "supported": [
3429
+ "CPU",
3430
+ "ANE"
3431
+ ],
3432
+ "cost": 0.1634
3433
+ },
3434
+ "1714_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3435
+ "dispatch": "ANE",
3436
+ "supported": [
3437
+ "CPU",
3438
+ "ANE"
3439
+ ],
3440
+ "cost": 0.1635
3441
+ },
3442
+ "1716_ios16.reshape_shape_x": {
3443
+ "dispatch": "ANE",
3444
+ "supported": [
3445
+ "CPU",
3446
+ "ANE"
3447
+ ],
3448
+ "cost": 0.0328
3449
+ },
3450
+ "1718_ios16.mul_x_y": {
3451
+ "dispatch": "ANE",
3452
+ "supported": [
3453
+ "CPU",
3454
+ "ANE"
3455
+ ],
3456
+ "cost": 0.0299
3457
+ },
3458
+ "1720_ios16.reshape_shape_x": {
3459
+ "dispatch": "ANE",
3460
+ "supported": [
3461
+ "CPU",
3462
+ "ANE"
3463
+ ],
3464
+ "cost": 0.0328
3465
+ },
3466
+ "1723_ios16.matmul_y_transpose_y_transpose_x_x": {
3467
+ "dispatch": "ANE",
3468
+ "supported": [
3469
+ "CPU",
3470
+ "ANE"
3471
+ ],
3472
+ "cost": 0.417
3473
+ },
3474
+ "1724_ios16.softmax_axis_x": {
3475
+ "dispatch": "ANE",
3476
+ "supported": [
3477
+ "CPU",
3478
+ "ANE"
3479
+ ],
3480
+ "cost": 0.7684
3481
+ },
3482
+ "1726_ios16.reshape_shape_x": {
3483
+ "dispatch": "ANE",
3484
+ "supported": [
3485
+ "CPU",
3486
+ "ANE"
3487
+ ],
3488
+ "cost": 0.0328
3489
+ },
3490
+ "1729_ios16.matmul_y_transpose_y_transpose_x_x": {
3491
+ "dispatch": "ANE",
3492
+ "supported": [
3493
+ "CPU",
3494
+ "ANE"
3495
+ ],
3496
+ "cost": 0.417
3497
+ },
3498
+ "1731_ios16.reshape_shape_x": {
3499
+ "dispatch": "ANE",
3500
+ "supported": [
3501
+ "CPU",
3502
+ "ANE"
3503
+ ],
3504
+ "cost": 0.0328
3505
+ },
3506
+ "1739_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3507
+ "dispatch": "ANE",
3508
+ "supported": [
3509
+ "CPU",
3510
+ "ANE"
3511
+ ],
3512
+ "cost": 0.1635
3513
+ },
3514
+ "1740_ios16.add_x_y": {
3515
+ "dispatch": "ANE",
3516
+ "supported": [
3517
+ "CPU",
3518
+ "ANE"
3519
+ ],
3520
+ "cost": 0.0729
3521
+ },
3522
+ "1743_ios16.layer_norm_epsilon_x_axes": {
3523
+ "dispatch": "ANE",
3524
+ "supported": [
3525
+ "CPU",
3526
+ "ANE"
3527
+ ],
3528
+ "cost": 0.0328
3529
+ },
3530
+ "1747_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3531
+ "dispatch": "ANE",
3532
+ "supported": [
3533
+ "CPU",
3534
+ "ANE"
3535
+ ],
3536
+ "cost": 0.0328
3537
+ },
3538
+ "1755_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3539
+ "dispatch": "ANE",
3540
+ "supported": [
3541
+ "CPU",
3542
+ "ANE"
3543
+ ],
3544
+ "cost": 0.654
3545
+ },
3546
+ "1757_ios16.gelu_mode_x": {
3547
+ "dispatch": "ANE",
3548
+ "supported": [
3549
+ "CPU",
3550
+ "ANE"
3551
+ ],
3552
+ "cost": 0.1311
3553
+ },
3554
+ "1765_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3555
+ "dispatch": "ANE",
3556
+ "supported": [
3557
+ "CPU",
3558
+ "ANE"
3559
+ ],
3560
+ "cost": 0.6537
3561
+ },
3562
+ "1766_ios16.add_x_y": {
3563
+ "dispatch": "ANE",
3564
+ "supported": [
3565
+ "CPU",
3566
+ "ANE"
3567
+ ],
3568
+ "cost": 0.0729
3569
+ },
3570
+ "1770_ios16.layer_norm_epsilon_x_axes": {
3571
+ "dispatch": "ANE",
3572
+ "supported": [
3573
+ "CPU",
3574
+ "ANE"
3575
+ ],
3576
+ "cost": 0.0328
3577
+ },
3578
+ "1774_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3579
+ "dispatch": "ANE",
3580
+ "supported": [
3581
+ "CPU",
3582
+ "ANE"
3583
+ ],
3584
+ "cost": 0.0328
3585
+ },
3586
+ "1782_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3587
+ "dispatch": "ANE",
3588
+ "supported": [
3589
+ "CPU",
3590
+ "ANE"
3591
+ ],
3592
+ "cost": 0.1635
3593
+ },
3594
+ "1789_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
3595
+ "dispatch": "ANE",
3596
+ "supported": [
3597
+ "CPU",
3598
+ "ANE"
3599
+ ],
3600
+ "cost": 0.1634
3601
+ },
3602
+ "1797_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3603
+ "dispatch": "ANE",
3604
+ "supported": [
3605
+ "CPU",
3606
+ "ANE"
3607
+ ],
3608
+ "cost": 0.1635
3609
+ },
3610
+ "1799_ios16.reshape_shape_x": {
3611
+ "dispatch": "ANE",
3612
+ "supported": [
3613
+ "CPU",
3614
+ "ANE"
3615
+ ],
3616
+ "cost": 0.0328
3617
+ },
3618
+ "1801_ios16.mul_x_y": {
3619
+ "dispatch": "ANE",
3620
+ "supported": [
3621
+ "CPU",
3622
+ "ANE"
3623
+ ],
3624
+ "cost": 0.0299
3625
+ },
3626
+ "1803_ios16.reshape_shape_x": {
3627
+ "dispatch": "ANE",
3628
+ "supported": [
3629
+ "CPU",
3630
+ "ANE"
3631
+ ],
3632
+ "cost": 0.0328
3633
+ },
3634
+ "1806_ios16.matmul_y_transpose_y_transpose_x_x": {
3635
+ "dispatch": "ANE",
3636
+ "supported": [
3637
+ "CPU",
3638
+ "ANE"
3639
+ ],
3640
+ "cost": 0.417
3641
+ },
3642
+ "1807_ios16.softmax_axis_x": {
3643
+ "dispatch": "ANE",
3644
+ "supported": [
3645
+ "CPU",
3646
+ "ANE"
3647
+ ],
3648
+ "cost": 0.7684
3649
+ },
3650
+ "1809_ios16.reshape_shape_x": {
3651
+ "dispatch": "ANE",
3652
+ "supported": [
3653
+ "CPU",
3654
+ "ANE"
3655
+ ],
3656
+ "cost": 0.0328
3657
+ },
3658
+ "1812_ios16.matmul_y_transpose_y_transpose_x_x": {
3659
+ "dispatch": "ANE",
3660
+ "supported": [
3661
+ "CPU",
3662
+ "ANE"
3663
+ ],
3664
+ "cost": 0.417
3665
+ },
3666
+ "1814_ios16.reshape_shape_x": {
3667
+ "dispatch": "ANE",
3668
+ "supported": [
3669
+ "CPU",
3670
+ "ANE"
3671
+ ],
3672
+ "cost": 0.0328
3673
+ },
3674
+ "1822_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3675
+ "dispatch": "ANE",
3676
+ "supported": [
3677
+ "CPU",
3678
+ "ANE"
3679
+ ],
3680
+ "cost": 0.1635
3681
+ },
3682
+ "1823_ios16.add_x_y": {
3683
+ "dispatch": "ANE",
3684
+ "supported": [
3685
+ "CPU",
3686
+ "ANE"
3687
+ ],
3688
+ "cost": 0.0729
3689
+ },
3690
+ "1826_ios16.layer_norm_epsilon_x_axes": {
3691
+ "dispatch": "ANE",
3692
+ "supported": [
3693
+ "CPU",
3694
+ "ANE"
3695
+ ],
3696
+ "cost": 0.0328
3697
+ },
3698
+ "1830_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3699
+ "dispatch": "ANE",
3700
+ "supported": [
3701
+ "CPU",
3702
+ "ANE"
3703
+ ],
3704
+ "cost": 0.0328
3705
+ },
3706
+ "1838_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3707
+ "dispatch": "ANE",
3708
+ "supported": [
3709
+ "CPU",
3710
+ "ANE"
3711
+ ],
3712
+ "cost": 0.654
3713
+ },
3714
+ "1840_ios16.gelu_mode_x": {
3715
+ "dispatch": "ANE",
3716
+ "supported": [
3717
+ "CPU",
3718
+ "ANE"
3719
+ ],
3720
+ "cost": 0.1311
3721
+ },
3722
+ "1848_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3723
+ "dispatch": "ANE",
3724
+ "supported": [
3725
+ "CPU",
3726
+ "ANE"
3727
+ ],
3728
+ "cost": 0.6537
3729
+ },
3730
+ "1849_ios16.add_x_y": {
3731
+ "dispatch": "ANE",
3732
+ "supported": [
3733
+ "CPU",
3734
+ "ANE"
3735
+ ],
3736
+ "cost": 0.0729
3737
+ },
3738
+ "1853_ios16.layer_norm_epsilon_x_axes": {
3739
+ "dispatch": "ANE",
3740
+ "supported": [
3741
+ "CPU",
3742
+ "ANE"
3743
+ ],
3744
+ "cost": 0.0328
3745
+ },
3746
+ "1857_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3747
+ "dispatch": "ANE",
3748
+ "supported": [
3749
+ "CPU",
3750
+ "ANE"
3751
+ ],
3752
+ "cost": 0.0328
3753
+ },
3754
+ "1865_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3755
+ "dispatch": "ANE",
3756
+ "supported": [
3757
+ "CPU",
3758
+ "ANE"
3759
+ ],
3760
+ "cost": 0.1635
3761
+ },
3762
+ "1872_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
3763
+ "dispatch": "ANE",
3764
+ "supported": [
3765
+ "CPU",
3766
+ "ANE"
3767
+ ],
3768
+ "cost": 0.1634
3769
+ },
3770
+ "1880_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3771
+ "dispatch": "ANE",
3772
+ "supported": [
3773
+ "CPU",
3774
+ "ANE"
3775
+ ],
3776
+ "cost": 0.1635
3777
+ },
3778
+ "1882_ios16.reshape_shape_x": {
3779
+ "dispatch": "ANE",
3780
+ "supported": [
3781
+ "CPU",
3782
+ "ANE"
3783
+ ],
3784
+ "cost": 0.0328
3785
+ },
3786
+ "1884_ios16.mul_x_y": {
3787
+ "dispatch": "ANE",
3788
+ "supported": [
3789
+ "CPU",
3790
+ "ANE"
3791
+ ],
3792
+ "cost": 0.0299
3793
+ },
3794
+ "1886_ios16.reshape_shape_x": {
3795
+ "dispatch": "ANE",
3796
+ "supported": [
3797
+ "CPU",
3798
+ "ANE"
3799
+ ],
3800
+ "cost": 0.0328
3801
+ },
3802
+ "1889_ios16.matmul_y_transpose_y_transpose_x_x": {
3803
+ "dispatch": "ANE",
3804
+ "supported": [
3805
+ "CPU",
3806
+ "ANE"
3807
+ ],
3808
+ "cost": 0.417
3809
+ },
3810
+ "1890_ios16.softmax_axis_x": {
3811
+ "dispatch": "ANE",
3812
+ "supported": [
3813
+ "CPU",
3814
+ "ANE"
3815
+ ],
3816
+ "cost": 0.7684
3817
+ },
3818
+ "1892_ios16.reshape_shape_x": {
3819
+ "dispatch": "ANE",
3820
+ "supported": [
3821
+ "CPU",
3822
+ "ANE"
3823
+ ],
3824
+ "cost": 0.0328
3825
+ },
3826
+ "1895_ios16.matmul_y_transpose_y_transpose_x_x": {
3827
+ "dispatch": "ANE",
3828
+ "supported": [
3829
+ "CPU",
3830
+ "ANE"
3831
+ ],
3832
+ "cost": 0.417
3833
+ },
3834
+ "1897_ios16.reshape_shape_x": {
3835
+ "dispatch": "ANE",
3836
+ "supported": [
3837
+ "CPU",
3838
+ "ANE"
3839
+ ],
3840
+ "cost": 0.0328
3841
+ },
3842
+ "1905_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3843
+ "dispatch": "ANE",
3844
+ "supported": [
3845
+ "CPU",
3846
+ "ANE"
3847
+ ],
3848
+ "cost": 0.1635
3849
+ },
3850
+ "1906_ios16.add_x_y": {
3851
+ "dispatch": "ANE",
3852
+ "supported": [
3853
+ "CPU",
3854
+ "ANE"
3855
+ ],
3856
+ "cost": 0.0729
3857
+ },
3858
+ "1909_ios16.layer_norm_epsilon_x_axes": {
3859
+ "dispatch": "ANE",
3860
+ "supported": [
3861
+ "CPU",
3862
+ "ANE"
3863
+ ],
3864
+ "cost": 0.0328
3865
+ },
3866
+ "1913_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3867
+ "dispatch": "ANE",
3868
+ "supported": [
3869
+ "CPU",
3870
+ "ANE"
3871
+ ],
3872
+ "cost": 0.0328
3873
+ },
3874
+ "1921_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3875
+ "dispatch": "ANE",
3876
+ "supported": [
3877
+ "CPU",
3878
+ "ANE"
3879
+ ],
3880
+ "cost": 0.654
3881
+ },
3882
+ "1923_ios16.gelu_mode_x": {
3883
+ "dispatch": "ANE",
3884
+ "supported": [
3885
+ "CPU",
3886
+ "ANE"
3887
+ ],
3888
+ "cost": 0.1311
3889
+ },
3890
+ "1931_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3891
+ "dispatch": "ANE",
3892
+ "supported": [
3893
+ "CPU",
3894
+ "ANE"
3895
+ ],
3896
+ "cost": 0.6537
3897
+ },
3898
+ "1932_ios16.add_x_y": {
3899
+ "dispatch": "ANE",
3900
+ "supported": [
3901
+ "CPU",
3902
+ "ANE"
3903
+ ],
3904
+ "cost": 0.0729
3905
+ },
3906
+ "1936_ios16.layer_norm_epsilon_x_axes": {
3907
+ "dispatch": "ANE",
3908
+ "supported": [
3909
+ "CPU",
3910
+ "ANE"
3911
+ ],
3912
+ "cost": 0.0328
3913
+ },
3914
+ "1940_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
3915
+ "dispatch": "ANE",
3916
+ "supported": [
3917
+ "CPU",
3918
+ "ANE"
3919
+ ],
3920
+ "cost": 0.0328
3921
+ },
3922
+ "1948_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3923
+ "dispatch": "ANE",
3924
+ "supported": [
3925
+ "CPU",
3926
+ "ANE"
3927
+ ],
3928
+ "cost": 0.1635
3929
+ },
3930
+ "1955_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
3931
+ "dispatch": "ANE",
3932
+ "supported": [
3933
+ "CPU",
3934
+ "ANE"
3935
+ ],
3936
+ "cost": 0.1634
3937
+ },
3938
+ "1963_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
3939
+ "dispatch": "ANE",
3940
+ "supported": [
3941
+ "CPU",
3942
+ "ANE"
3943
+ ],
3944
+ "cost": 0.1635
3945
+ },
3946
+ "1965_ios16.reshape_shape_x": {
3947
+ "dispatch": "ANE",
3948
+ "supported": [
3949
+ "CPU",
3950
+ "ANE"
3951
+ ],
3952
+ "cost": 0.0328
3953
+ },
3954
+ "1967_ios16.mul_x_y": {
3955
+ "dispatch": "ANE",
3956
+ "supported": [
3957
+ "CPU",
3958
+ "ANE"
3959
+ ],
3960
+ "cost": 0.0299
3961
+ },
3962
+ "1969_ios16.reshape_shape_x": {
3963
+ "dispatch": "ANE",
3964
+ "supported": [
3965
+ "CPU",
3966
+ "ANE"
3967
+ ],
3968
+ "cost": 0.0328
3969
+ },
3970
+ "1972_ios16.matmul_y_transpose_y_transpose_x_x": {
3971
+ "dispatch": "ANE",
3972
+ "supported": [
3973
+ "CPU",
3974
+ "ANE"
3975
+ ],
3976
+ "cost": 0.417
3977
+ },
3978
+ "1973_ios16.softmax_axis_x": {
3979
+ "dispatch": "ANE",
3980
+ "supported": [
3981
+ "CPU",
3982
+ "ANE"
3983
+ ],
3984
+ "cost": 0.7684
3985
+ },
3986
+ "1975_ios16.reshape_shape_x": {
3987
+ "dispatch": "ANE",
3988
+ "supported": [
3989
+ "CPU",
3990
+ "ANE"
3991
+ ],
3992
+ "cost": 0.0328
3993
+ },
3994
+ "1978_ios16.matmul_y_transpose_y_transpose_x_x": {
3995
+ "dispatch": "ANE",
3996
+ "supported": [
3997
+ "CPU",
3998
+ "ANE"
3999
+ ],
4000
+ "cost": 0.417
4001
+ },
4002
+ "1980_ios16.reshape_shape_x": {
4003
+ "dispatch": "ANE",
4004
+ "supported": [
4005
+ "CPU",
4006
+ "ANE"
4007
+ ],
4008
+ "cost": 0.0328
4009
+ },
4010
+ "1988_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
4011
+ "dispatch": "ANE",
4012
+ "supported": [
4013
+ "CPU",
4014
+ "ANE"
4015
+ ],
4016
+ "cost": 0.1635
4017
+ },
4018
+ "1989_ios16.add_x_y": {
4019
+ "dispatch": "ANE",
4020
+ "supported": [
4021
+ "CPU",
4022
+ "ANE"
4023
+ ],
4024
+ "cost": 0.0729
4025
+ },
4026
+ "1992_ios16.layer_norm_epsilon_x_axes": {
4027
+ "dispatch": "ANE",
4028
+ "supported": [
4029
+ "CPU",
4030
+ "ANE"
4031
+ ],
4032
+ "cost": 0.0328
4033
+ },
4034
+ "1996_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
4035
+ "dispatch": "ANE",
4036
+ "supported": [
4037
+ "CPU",
4038
+ "ANE"
4039
+ ],
4040
+ "cost": 0.0328
4041
+ },
4042
+ "2004_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
4043
+ "dispatch": "ANE",
4044
+ "supported": [
4045
+ "CPU",
4046
+ "ANE"
4047
+ ],
4048
+ "cost": 0.654
4049
+ },
4050
+ "2006_ios16.gelu_mode_x": {
4051
+ "dispatch": "ANE",
4052
+ "supported": [
4053
+ "CPU",
4054
+ "ANE"
4055
+ ],
4056
+ "cost": 0.1311
4057
+ },
4058
+ "2014_ios16.conv_groups_bias_weight_dilations_strides_x_pad_pad_type": {
4059
+ "dispatch": "ANE",
4060
+ "supported": [
4061
+ "CPU",
4062
+ "ANE"
4063
+ ],
4064
+ "cost": 0.6537
4065
+ },
4066
+ "2015_ios16.add_x_y": {
4067
+ "dispatch": "ANE",
4068
+ "supported": [
4069
+ "CPU",
4070
+ "ANE"
4071
+ ],
4072
+ "cost": 0.0729
4073
+ },
4074
+ "2018_ios16.layer_norm_epsilon_x_axes": {
4075
+ "dispatch": "ANE",
4076
+ "supported": [
4077
+ "CPU",
4078
+ "ANE"
4079
+ ],
4080
+ "cost": 0.0328
4081
+ },
4082
+ "2022_ios16.batch_norm_epsilon_gamma_mean_variance_x_beta": {
4083
+ "dispatch": "ANE",
4084
+ "supported": [
4085
+ "CPU",
4086
+ "ANE"
4087
+ ],
4088
+ "cost": 0.0328
4089
+ }
4090
+ }
openai_whisper-medium.en/AudioEncoder.mlmodelc/analytics/coremldata.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ac17e8f029504f6ecb645f539e039e650428b135cbed2d4234a4e65fde271d5
3
+ size 243
openai_whisper-medium.en/AudioEncoder.mlmodelc/coremldata.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d875fd7e0a389117711940fc2052b29dc4ed0fd07813265a13cb041ae068f805
3
+ size 347
openai_whisper-medium.en/AudioEncoder.mlmodelc/metadata.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "metadataOutputVersion" : "3.0",
4
+ "storagePrecision" : "Float16",
5
+ "outputSchema" : [
6
+ {
7
+ "hasShapeFlexibility" : "0",
8
+ "isOptional" : "0",
9
+ "dataType" : "Float16",
10
+ "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1500)",
11
+ "shortDescription" : "",
12
+ "shape" : "[1, 1024, 1, 1500]",
13
+ "name" : "encoder_output_embeds",
14
+ "type" : "MultiArray"
15
+ }
16
+ ],
17
+ "modelParameters" : [
18
+
19
+ ],
20
+ "specificationVersion" : 7,
21
+ "mlProgramOperationTypeHistogram" : {
22
+ "Ios16.softmax" : 24,
23
+ "Ios16.add" : 49,
24
+ "Ios16.mul" : 24,
25
+ "Ios16.batchNorm" : 49,
26
+ "Ios16.gelu" : 26,
27
+ "Ios16.reshape" : 96,
28
+ "Ios16.matmul" : 48,
29
+ "Ios16.layerNorm" : 49,
30
+ "Ios16.conv" : 146
31
+ },
32
+ "computePrecision" : "Mixed (Float16, Int32)",
33
+ "isUpdatable" : "0",
34
+ "stateSchema" : [
35
+
36
+ ],
37
+ "availability" : {
38
+ "macOS" : "13.0",
39
+ "tvOS" : "16.0",
40
+ "visionOS" : "1.0",
41
+ "watchOS" : "9.0",
42
+ "iOS" : "16.0",
43
+ "macCatalyst" : "16.0"
44
+ },
45
+ "modelType" : {
46
+ "name" : "MLModelType_mlProgram"
47
+ },
48
+ "userDefinedMetadata" : {
49
+ "com.github.apple.coremltools.version" : "8.2",
50
+ "com.github.apple.coremltools.source" : "torch==2.5.0",
51
+ "com.github.apple.coremltools.source_dialect" : "TorchScript"
52
+ },
53
+ "inputSchema" : [
54
+ {
55
+ "hasShapeFlexibility" : "0",
56
+ "isOptional" : "0",
57
+ "dataType" : "Float16",
58
+ "formattedType" : "MultiArray (Float16 1 × 80 × 1 × 3000)",
59
+ "shortDescription" : "",
60
+ "shape" : "[1, 80, 1, 3000]",
61
+ "name" : "melspectrogram_features",
62
+ "type" : "MultiArray"
63
+ }
64
+ ],
65
+ "generatedClassName" : "AudioEncoder",
66
+ "method" : "predict"
67
+ }
68
+ ]
openai_whisper-medium.en/AudioEncoder.mlmodelc/model.mil ADDED
The diff for this file is too large to render. See raw diff
 
openai_whisper-medium.en/AudioEncoder.mlmodelc/weights/weight.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a276e8de8d91f6e180d831210e626a55c8b64141b6f165d8e601f579776104d0
3
+ size 614460544
openai_whisper-medium.en/MelSpectrogram.mlcomputeplan.json ADDED
@@ -0,0 +1,199 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "1_ios16.reshape_shape_x": {
3
+ "dispatch": "CPU",
4
+ "supported": [
5
+ "CPU",
6
+ "ANE"
7
+ ],
8
+ "cost": 2.2206
9
+ },
10
+ "5_pad_pad_x_constant_val_mode": {
11
+ "dispatch": "CPU",
12
+ "supported": [
13
+ "CPU"
14
+ ],
15
+ "cost": 2.2216
16
+ },
17
+ "7_ios16.reshape_shape_x": {
18
+ "dispatch": "CPU",
19
+ "supported": [
20
+ "CPU",
21
+ "ANE"
22
+ ],
23
+ "cost": 2.2225
24
+ },
25
+ "9_expand_dims_x_axes": {
26
+ "dispatch": "CPU",
27
+ "supported": [
28
+ "CPU",
29
+ "ANE"
30
+ ],
31
+ "cost": 2.2225
32
+ },
33
+ "12_expand_dims_x_axes": {
34
+ "dispatch": "CPU",
35
+ "supported": [
36
+ "CPU",
37
+ "ANE"
38
+ ],
39
+ "cost": 2.2225
40
+ },
41
+ "18_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
42
+ "dispatch": "CPU",
43
+ "supported": [
44
+ "CPU"
45
+ ],
46
+ "cost": 21.5236
47
+ },
48
+ "24_ios16.conv_groups_weight_x_dilations_strides_pad_pad_type": {
49
+ "dispatch": "CPU",
50
+ "supported": [
51
+ "CPU"
52
+ ],
53
+ "cost": 21.5236
54
+ },
55
+ "26_squeeze_x_axes": {
56
+ "dispatch": "CPU",
57
+ "supported": [
58
+ "CPU",
59
+ "ANE"
60
+ ],
61
+ "cost": 2.7906
62
+ },
63
+ "28_squeeze_x_axes": {
64
+ "dispatch": "CPU",
65
+ "supported": [
66
+ "CPU",
67
+ "ANE"
68
+ ],
69
+ "cost": 2.7906
70
+ },
71
+ "29_ios16.square_x": {
72
+ "dispatch": "CPU",
73
+ "supported": [
74
+ "CPU",
75
+ "ANE"
76
+ ],
77
+ "cost": 2.7906
78
+ },
79
+ "30_ios16.square_x": {
80
+ "dispatch": "CPU",
81
+ "supported": [
82
+ "CPU",
83
+ "ANE"
84
+ ],
85
+ "cost": 2.7906
86
+ },
87
+ "31_ios16.add_x_y": {
88
+ "dispatch": "CPU",
89
+ "supported": [
90
+ "CPU",
91
+ "ANE"
92
+ ],
93
+ "cost": 10.1532
94
+ },
95
+ "32_identity_x": {
96
+ "dispatch": "CPU",
97
+ "supported": [
98
+ "CPU",
99
+ "ANE"
100
+ ],
101
+ "cost": 2.7906
102
+ },
103
+ "36_slice_by_index_begin_end_end_mask_x": {
104
+ "dispatch": "CPU",
105
+ "supported": [
106
+ "CPU",
107
+ "ANE"
108
+ ],
109
+ "cost": 2.7901
110
+ },
111
+ "40_ios16.matmul_y_transpose_y_transpose_x_x": {
112
+ "dispatch": "CPU",
113
+ "supported": [
114
+ "CPU",
115
+ "ANE"
116
+ ],
117
+ "cost": 4.0374
118
+ },
119
+ "42_ios16.add_x_y": {
120
+ "dispatch": "CPU",
121
+ "supported": [
122
+ "CPU",
123
+ "ANE"
124
+ ],
125
+ "cost": 2.0199
126
+ },
127
+ "44_ios16.log_epsilon_x": {
128
+ "dispatch": "CPU",
129
+ "supported": [
130
+ "CPU",
131
+ "ANE"
132
+ ],
133
+ "cost": 1.1103
134
+ },
135
+ "46_ios16.mul_x_y": {
136
+ "dispatch": "CPU",
137
+ "supported": [
138
+ "CPU",
139
+ "ANE"
140
+ ],
141
+ "cost": 2.9367
142
+ },
143
+ "48_ios16.reduce_max_x_keep_dims": {
144
+ "dispatch": "CPU",
145
+ "supported": [
146
+ "CPU",
147
+ "ANE"
148
+ ],
149
+ "cost": 0.5552
150
+ },
151
+ "50_ios16.sub_x_y": {
152
+ "dispatch": "CPU",
153
+ "supported": [
154
+ "CPU",
155
+ "ANE"
156
+ ],
157
+ "cost": 0.0
158
+ },
159
+ "51_ios16.maximum_x_y": {
160
+ "dispatch": "CPU",
161
+ "supported": [
162
+ "CPU",
163
+ "ANE"
164
+ ],
165
+ "cost": 1.1103
166
+ },
167
+ "53_ios16.add_x_y": {
168
+ "dispatch": "CPU",
169
+ "supported": [
170
+ "CPU",
171
+ "ANE"
172
+ ],
173
+ "cost": 2.0199
174
+ },
175
+ "55_ios16.mul_x_y": {
176
+ "dispatch": "CPU",
177
+ "supported": [
178
+ "CPU",
179
+ "ANE"
180
+ ],
181
+ "cost": 2.9367
182
+ },
183
+ "57_expand_dims_x_axes": {
184
+ "dispatch": "CPU",
185
+ "supported": [
186
+ "CPU",
187
+ "ANE"
188
+ ],
189
+ "cost": 1.1103
190
+ },
191
+ "59_expand_dims_x_axes": {
192
+ "dispatch": "CPU",
193
+ "supported": [
194
+ "CPU",
195
+ "ANE"
196
+ ],
197
+ "cost": 1.1103
198
+ }
199
+ }
openai_whisper-medium.en/MelSpectrogram.mlmodelc/analytics/coremldata.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:847173d00b238eb63f0d3dab36dc52b7a3fd1d4b31e95d4093975fada8fde2cd
3
+ size 243
openai_whisper-medium.en/MelSpectrogram.mlmodelc/coremldata.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ebbb4bf9699f7d65018645e168ecedf47541eee154800f9e9766f1ac90746416
3
+ size 328
openai_whisper-medium.en/MelSpectrogram.mlmodelc/metadata.json ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "metadataOutputVersion" : "3.0",
4
+ "storagePrecision" : "Float16",
5
+ "outputSchema" : [
6
+ {
7
+ "hasShapeFlexibility" : "0",
8
+ "isOptional" : "0",
9
+ "dataType" : "Float16",
10
+ "formattedType" : "MultiArray (Float16 1 × 80 × 1 × 3000)",
11
+ "shortDescription" : "",
12
+ "shape" : "[1, 80, 1, 3000]",
13
+ "name" : "melspectrogram_features",
14
+ "type" : "MultiArray"
15
+ }
16
+ ],
17
+ "modelParameters" : [
18
+
19
+ ],
20
+ "specificationVersion" : 7,
21
+ "mlProgramOperationTypeHistogram" : {
22
+ "Ios16.reshape" : 2,
23
+ "Ios16.mul" : 2,
24
+ "SliceByIndex" : 1,
25
+ "Ios16.sub" : 1,
26
+ "Ios16.log" : 1,
27
+ "Ios16.square" : 2,
28
+ "Ios16.add" : 3,
29
+ "Squeeze" : 2,
30
+ "Ios16.matmul" : 1,
31
+ "Ios16.conv" : 2,
32
+ "Ios16.maximum" : 1,
33
+ "ExpandDims" : 4,
34
+ "Ios16.reduceMax" : 1,
35
+ "Identity" : 1,
36
+ "Pad" : 1
37
+ },
38
+ "computePrecision" : "Mixed (Float16, Int32)",
39
+ "isUpdatable" : "0",
40
+ "stateSchema" : [
41
+
42
+ ],
43
+ "availability" : {
44
+ "macOS" : "13.0",
45
+ "tvOS" : "16.0",
46
+ "visionOS" : "1.0",
47
+ "watchOS" : "9.0",
48
+ "iOS" : "16.0",
49
+ "macCatalyst" : "16.0"
50
+ },
51
+ "modelType" : {
52
+ "name" : "MLModelType_mlProgram"
53
+ },
54
+ "userDefinedMetadata" : {
55
+ "com.github.apple.coremltools.version" : "8.2",
56
+ "com.github.apple.coremltools.source" : "torch==2.5.0",
57
+ "com.github.apple.coremltools.source_dialect" : "TorchScript"
58
+ },
59
+ "inputSchema" : [
60
+ {
61
+ "hasShapeFlexibility" : "0",
62
+ "isOptional" : "0",
63
+ "dataType" : "Float16",
64
+ "formattedType" : "MultiArray (Float16 480000)",
65
+ "shortDescription" : "",
66
+ "shape" : "[480000]",
67
+ "name" : "audio",
68
+ "type" : "MultiArray"
69
+ }
70
+ ],
71
+ "generatedClassName" : "MelSpectrogram",
72
+ "method" : "predict"
73
+ }
74
+ ]
openai_whisper-medium.en/MelSpectrogram.mlmodelc/model.mil ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ program(1.0)
2
+ [buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3401.3.1"}, {"coremlc-version", "3401.4.1"}, {"coremltools-component-torch", "2.5.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "8.2"}})]
3
+ {
4
+ func main<ios16>(tensor<fp16, [480000]> audio) {
5
+ tensor<int32, [3]> var_10 = const()[name = tensor<string, []>("op_10"), val = tensor<int32, [3]>([1, 1, 480000])];
6
+ tensor<fp16, [1, 1, 480000]> input_1_cast_fp16 = reshape(shape = var_10, x = audio)[name = tensor<string, []>("input_1_cast_fp16")];
7
+ tensor<int32, [6]> input_3_pad_0 = const()[name = tensor<string, []>("input_3_pad_0"), val = tensor<int32, [6]>([0, 0, 0, 0, 200, 200])];
8
+ tensor<string, []> input_3_mode_0 = const()[name = tensor<string, []>("input_3_mode_0"), val = tensor<string, []>("reflect")];
9
+ tensor<fp16, []> const_1_to_fp16 = const()[name = tensor<string, []>("const_1_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
10
+ tensor<fp16, [1, 1, 480400]> input_3_cast_fp16 = pad(constant_val = const_1_to_fp16, mode = input_3_mode_0, pad = input_3_pad_0, x = input_1_cast_fp16)[name = tensor<string, []>("input_3_cast_fp16")];
11
+ tensor<int32, [1]> var_22 = const()[name = tensor<string, []>("op_22"), val = tensor<int32, [1]>([480400])];
12
+ tensor<fp16, [480400]> input_cast_fp16 = reshape(shape = var_22, x = input_3_cast_fp16)[name = tensor<string, []>("input_cast_fp16")];
13
+ tensor<int32, [1]> expand_dims_0_axes_0 = const()[name = tensor<string, []>("expand_dims_0_axes_0"), val = tensor<int32, [1]>([0])];
14
+ tensor<fp16, [1, 480400]> expand_dims_0_cast_fp16 = expand_dims(axes = expand_dims_0_axes_0, x = input_cast_fp16)[name = tensor<string, []>("expand_dims_0_cast_fp16")];
15
+ tensor<int32, [1]> expand_dims_3 = const()[name = tensor<string, []>("expand_dims_3"), val = tensor<int32, [1]>([160])];
16
+ tensor<int32, [1]> expand_dims_4_axes_0 = const()[name = tensor<string, []>("expand_dims_4_axes_0"), val = tensor<int32, [1]>([1])];
17
+ tensor<fp16, [1, 1, 480400]> expand_dims_4_cast_fp16 = expand_dims(axes = expand_dims_4_axes_0, x = expand_dims_0_cast_fp16)[name = tensor<string, []>("expand_dims_4_cast_fp16")];
18
+ tensor<string, []> conv_0_pad_type_0 = const()[name = tensor<string, []>("conv_0_pad_type_0"), val = tensor<string, []>("valid")];
19
+ tensor<int32, [2]> conv_0_pad_0 = const()[name = tensor<string, []>("conv_0_pad_0"), val = tensor<int32, [2]>([0, 0])];
20
+ tensor<int32, [1]> conv_0_dilations_0 = const()[name = tensor<string, []>("conv_0_dilations_0"), val = tensor<int32, [1]>([1])];
21
+ tensor<int32, []> conv_0_groups_0 = const()[name = tensor<string, []>("conv_0_groups_0"), val = tensor<int32, []>(1)];
22
+ tensor<fp16, [201, 1, 400]> expand_dims_1_to_fp16 = const()[name = tensor<string, []>("expand_dims_1_to_fp16"), val = tensor<fp16, [201, 1, 400]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(64)))];
23
+ tensor<fp16, [1, 201, 3001]> conv_0_cast_fp16 = conv(dilations = conv_0_dilations_0, groups = conv_0_groups_0, pad = conv_0_pad_0, pad_type = conv_0_pad_type_0, strides = expand_dims_3, weight = expand_dims_1_to_fp16, x = expand_dims_4_cast_fp16)[name = tensor<string, []>("conv_0_cast_fp16")];
24
+ tensor<string, []> conv_1_pad_type_0 = const()[name = tensor<string, []>("conv_1_pad_type_0"), val = tensor<string, []>("valid")];
25
+ tensor<int32, [2]> conv_1_pad_0 = const()[name = tensor<string, []>("conv_1_pad_0"), val = tensor<int32, [2]>([0, 0])];
26
+ tensor<int32, [1]> conv_1_dilations_0 = const()[name = tensor<string, []>("conv_1_dilations_0"), val = tensor<int32, [1]>([1])];
27
+ tensor<int32, []> conv_1_groups_0 = const()[name = tensor<string, []>("conv_1_groups_0"), val = tensor<int32, []>(1)];
28
+ tensor<fp16, [201, 1, 400]> expand_dims_2_to_fp16 = const()[name = tensor<string, []>("expand_dims_2_to_fp16"), val = tensor<fp16, [201, 1, 400]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(160960)))];
29
+ tensor<fp16, [1, 201, 3001]> conv_1_cast_fp16 = conv(dilations = conv_1_dilations_0, groups = conv_1_groups_0, pad = conv_1_pad_0, pad_type = conv_1_pad_type_0, strides = expand_dims_3, weight = expand_dims_2_to_fp16, x = expand_dims_4_cast_fp16)[name = tensor<string, []>("conv_1_cast_fp16")];
30
+ tensor<int32, [1]> squeeze_0_axes_0 = const()[name = tensor<string, []>("squeeze_0_axes_0"), val = tensor<int32, [1]>([0])];
31
+ tensor<fp16, [201, 3001]> squeeze_0_cast_fp16 = squeeze(axes = squeeze_0_axes_0, x = conv_0_cast_fp16)[name = tensor<string, []>("squeeze_0_cast_fp16")];
32
+ tensor<int32, [1]> squeeze_1_axes_0 = const()[name = tensor<string, []>("squeeze_1_axes_0"), val = tensor<int32, [1]>([0])];
33
+ tensor<fp16, [201, 3001]> squeeze_1_cast_fp16 = squeeze(axes = squeeze_1_axes_0, x = conv_1_cast_fp16)[name = tensor<string, []>("squeeze_1_cast_fp16")];
34
+ tensor<fp16, [201, 3001]> square_0_cast_fp16 = square(x = squeeze_0_cast_fp16)[name = tensor<string, []>("square_0_cast_fp16")];
35
+ tensor<fp16, [201, 3001]> square_1_cast_fp16 = square(x = squeeze_1_cast_fp16)[name = tensor<string, []>("square_1_cast_fp16")];
36
+ tensor<fp16, [201, 3001]> add_1_cast_fp16 = add(x = square_0_cast_fp16, y = square_1_cast_fp16)[name = tensor<string, []>("add_1_cast_fp16")];
37
+ tensor<fp16, [201, 3001]> magnitudes_1_cast_fp16 = identity(x = add_1_cast_fp16)[name = tensor<string, []>("magnitudes_1_cast_fp16")];
38
+ tensor<int32, [2]> magnitudes_begin_0 = const()[name = tensor<string, []>("magnitudes_begin_0"), val = tensor<int32, [2]>([0, 0])];
39
+ tensor<int32, [2]> magnitudes_end_0 = const()[name = tensor<string, []>("magnitudes_end_0"), val = tensor<int32, [2]>([201, 3000])];
40
+ tensor<bool, [2]> magnitudes_end_mask_0 = const()[name = tensor<string, []>("magnitudes_end_mask_0"), val = tensor<bool, [2]>([true, false])];
41
+ tensor<fp16, [201, 3000]> magnitudes_cast_fp16 = slice_by_index(begin = magnitudes_begin_0, end = magnitudes_end_0, end_mask = magnitudes_end_mask_0, x = magnitudes_1_cast_fp16)[name = tensor<string, []>("magnitudes_cast_fp16")];
42
+ tensor<bool, []> mel_spec_1_transpose_x_0 = const()[name = tensor<string, []>("mel_spec_1_transpose_x_0"), val = tensor<bool, []>(false)];
43
+ tensor<bool, []> mel_spec_1_transpose_y_0 = const()[name = tensor<string, []>("mel_spec_1_transpose_y_0"), val = tensor<bool, []>(false)];
44
+ tensor<fp16, [80, 201]> mel_filters_to_fp16 = const()[name = tensor<string, []>("mel_filters_to_fp16"), val = tensor<fp16, [80, 201]>(BLOBFILE(path = tensor<string, []>("@model_path/weights/weight.bin"), offset = tensor<uint64, []>(321856)))];
45
+ tensor<fp16, [80, 3000]> mel_spec_1_cast_fp16 = matmul(transpose_x = mel_spec_1_transpose_x_0, transpose_y = mel_spec_1_transpose_y_0, x = mel_filters_to_fp16, y = magnitudes_cast_fp16)[name = tensor<string, []>("mel_spec_1_cast_fp16")];
46
+ tensor<fp16, []> var_41_to_fp16 = const()[name = tensor<string, []>("op_41_to_fp16"), val = tensor<fp16, []>(0x1p-24)];
47
+ tensor<fp16, [80, 3000]> mel_spec_cast_fp16 = add(x = mel_spec_1_cast_fp16, y = var_41_to_fp16)[name = tensor<string, []>("mel_spec_cast_fp16")];
48
+ tensor<fp16, []> log_0_epsilon_0_to_fp16 = const()[name = tensor<string, []>("log_0_epsilon_0_to_fp16"), val = tensor<fp16, []>(0x0p+0)];
49
+ tensor<fp16, [80, 3000]> log_0_cast_fp16 = log(epsilon = log_0_epsilon_0_to_fp16, x = mel_spec_cast_fp16)[name = tensor<string, []>("log_0_cast_fp16")];
50
+ tensor<fp16, []> mul_0_y_0_to_fp16 = const()[name = tensor<string, []>("mul_0_y_0_to_fp16"), val = tensor<fp16, []>(0x1.bccp-2)];
51
+ tensor<fp16, [80, 3000]> mul_0_cast_fp16 = mul(x = log_0_cast_fp16, y = mul_0_y_0_to_fp16)[name = tensor<string, []>("mul_0_cast_fp16")];
52
+ tensor<bool, []> var_44_keep_dims_0 = const()[name = tensor<string, []>("op_44_keep_dims_0"), val = tensor<bool, []>(false)];
53
+ tensor<fp16, []> var_44_cast_fp16 = reduce_max(keep_dims = var_44_keep_dims_0, x = mul_0_cast_fp16)[name = tensor<string, []>("op_44_cast_fp16")];
54
+ tensor<fp16, []> var_46_to_fp16 = const()[name = tensor<string, []>("op_46_to_fp16"), val = tensor<fp16, []>(0x1p+3)];
55
+ tensor<fp16, []> var_47_cast_fp16 = sub(x = var_44_cast_fp16, y = var_46_to_fp16)[name = tensor<string, []>("op_47_cast_fp16")];
56
+ tensor<fp16, [80, 3000]> log_spec_3_cast_fp16 = maximum(x = mul_0_cast_fp16, y = var_47_cast_fp16)[name = tensor<string, []>("log_spec_3_cast_fp16")];
57
+ tensor<fp16, []> var_50_to_fp16 = const()[name = tensor<string, []>("op_50_to_fp16"), val = tensor<fp16, []>(0x1p+2)];
58
+ tensor<fp16, [80, 3000]> var_51_cast_fp16 = add(x = log_spec_3_cast_fp16, y = var_50_to_fp16)[name = tensor<string, []>("op_51_cast_fp16")];
59
+ tensor<fp16, []> _inversed_log_spec_y_0_to_fp16 = const()[name = tensor<string, []>("_inversed_log_spec_y_0_to_fp16"), val = tensor<fp16, []>(0x1p-2)];
60
+ tensor<fp16, [80, 3000]> _inversed_log_spec_cast_fp16 = mul(x = var_51_cast_fp16, y = _inversed_log_spec_y_0_to_fp16)[name = tensor<string, []>("_inversed_log_spec_cast_fp16")];
61
+ tensor<int32, [1]> var_55_axes_0 = const()[name = tensor<string, []>("op_55_axes_0"), val = tensor<int32, [1]>([0])];
62
+ tensor<fp16, [1, 80, 3000]> var_55_cast_fp16 = expand_dims(axes = var_55_axes_0, x = _inversed_log_spec_cast_fp16)[name = tensor<string, []>("op_55_cast_fp16")];
63
+ tensor<int32, [1]> var_62_axes_0 = const()[name = tensor<string, []>("op_62_axes_0"), val = tensor<int32, [1]>([2])];
64
+ tensor<fp16, [1, 80, 1, 3000]> melspectrogram_features = expand_dims(axes = var_62_axes_0, x = var_55_cast_fp16)[name = tensor<string, []>("op_62_cast_fp16")];
65
+ } -> (melspectrogram_features);
66
+ }
openai_whisper-medium.en/MelSpectrogram.mlmodelc/weights/weight.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:801024dbc7a89c677be1f8b285de3409e35f7d1786c9c8d9d0d6842ac57a1c83
3
+ size 354080
openai_whisper-medium.en/TextDecoder.mlcomputeplan.json ADDED
The diff for this file is too large to render. See raw diff
 
openai_whisper-medium.en/TextDecoder.mlmodelc/analytics/coremldata.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53609641e0e398b4d00a870729f22c41949e393b360ccc90a5ca7a085844455e
3
+ size 243
openai_whisper-medium.en/TextDecoder.mlmodelc/coremldata.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a10136064539caacd37b877629ecd67bdd21ecad3f4ae6fa3d3a8ceba1ea5e2
3
+ size 637
openai_whisper-medium.en/TextDecoder.mlmodelc/metadata.json ADDED
@@ -0,0 +1,168 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "metadataOutputVersion" : "3.0",
4
+ "storagePrecision" : "Float16",
5
+ "outputSchema" : [
6
+ {
7
+ "hasShapeFlexibility" : "0",
8
+ "isOptional" : "0",
9
+ "dataType" : "Float16",
10
+ "formattedType" : "MultiArray (Float16 1 × 1 × 51864)",
11
+ "shortDescription" : "",
12
+ "shape" : "[1, 1, 51864]",
13
+ "name" : "logits",
14
+ "type" : "MultiArray"
15
+ },
16
+ {
17
+ "hasShapeFlexibility" : "0",
18
+ "isOptional" : "0",
19
+ "dataType" : "Float16",
20
+ "formattedType" : "MultiArray (Float16 1 × 24576 × 1 × 1)",
21
+ "shortDescription" : "",
22
+ "shape" : "[1, 24576, 1, 1]",
23
+ "name" : "key_cache_updates",
24
+ "type" : "MultiArray"
25
+ },
26
+ {
27
+ "hasShapeFlexibility" : "0",
28
+ "isOptional" : "0",
29
+ "dataType" : "Float16",
30
+ "formattedType" : "MultiArray (Float16 1 × 24576 × 1 × 1)",
31
+ "shortDescription" : "",
32
+ "shape" : "[1, 24576, 1, 1]",
33
+ "name" : "value_cache_updates",
34
+ "type" : "MultiArray"
35
+ },
36
+ {
37
+ "hasShapeFlexibility" : "0",
38
+ "isOptional" : "0",
39
+ "dataType" : "Float16",
40
+ "formattedType" : "MultiArray (Float16 1 × 1500)",
41
+ "shortDescription" : "",
42
+ "shape" : "[1, 1500]",
43
+ "name" : "alignment_heads_weights",
44
+ "type" : "MultiArray"
45
+ }
46
+ ],
47
+ "modelParameters" : [
48
+
49
+ ],
50
+ "specificationVersion" : 7,
51
+ "mlProgramOperationTypeHistogram" : {
52
+ "Ios16.linear" : 1,
53
+ "Concat" : 3,
54
+ "Ios16.reduceMean" : 1,
55
+ "Ios16.mul" : 144,
56
+ "Ios16.layerNorm" : 73,
57
+ "SliceByIndex" : 36,
58
+ "Ios16.sub" : 1,
59
+ "Transpose" : 1,
60
+ "Ios16.conv" : 240,
61
+ "Ios16.add" : 145,
62
+ "Squeeze" : 1,
63
+ "Ios16.matmul" : 96,
64
+ "Ios16.softmax" : 48,
65
+ "Ios16.gelu" : 24,
66
+ "ExpandDims" : 6,
67
+ "Ios16.batchNorm" : 73,
68
+ "Split" : 2,
69
+ "Ios16.gather" : 2,
70
+ "Ios16.reshape" : 192
71
+ },
72
+ "computePrecision" : "Mixed (Float16, Int32)",
73
+ "isUpdatable" : "0",
74
+ "stateSchema" : [
75
+
76
+ ],
77
+ "availability" : {
78
+ "macOS" : "13.0",
79
+ "tvOS" : "16.0",
80
+ "visionOS" : "1.0",
81
+ "watchOS" : "9.0",
82
+ "iOS" : "16.0",
83
+ "macCatalyst" : "16.0"
84
+ },
85
+ "modelType" : {
86
+ "name" : "MLModelType_mlProgram"
87
+ },
88
+ "userDefinedMetadata" : {
89
+ "com.github.apple.coremltools.version" : "8.2",
90
+ "com.github.apple.coremltools.source" : "torch==2.5.0",
91
+ "com.github.apple.coremltools.source_dialect" : "TorchScript"
92
+ },
93
+ "inputSchema" : [
94
+ {
95
+ "hasShapeFlexibility" : "0",
96
+ "isOptional" : "0",
97
+ "dataType" : "Int32",
98
+ "formattedType" : "MultiArray (Int32 1)",
99
+ "shortDescription" : "",
100
+ "shape" : "[1]",
101
+ "name" : "input_ids",
102
+ "type" : "MultiArray"
103
+ },
104
+ {
105
+ "hasShapeFlexibility" : "0",
106
+ "isOptional" : "0",
107
+ "dataType" : "Int32",
108
+ "formattedType" : "MultiArray (Int32 1)",
109
+ "shortDescription" : "",
110
+ "shape" : "[1]",
111
+ "name" : "cache_length",
112
+ "type" : "MultiArray"
113
+ },
114
+ {
115
+ "hasShapeFlexibility" : "0",
116
+ "isOptional" : "0",
117
+ "dataType" : "Float16",
118
+ "formattedType" : "MultiArray (Float16 1 × 24576 × 1 × 448)",
119
+ "shortDescription" : "",
120
+ "shape" : "[1, 24576, 1, 448]",
121
+ "name" : "key_cache",
122
+ "type" : "MultiArray"
123
+ },
124
+ {
125
+ "hasShapeFlexibility" : "0",
126
+ "isOptional" : "0",
127
+ "dataType" : "Float16",
128
+ "formattedType" : "MultiArray (Float16 1 × 24576 × 1 × 448)",
129
+ "shortDescription" : "",
130
+ "shape" : "[1, 24576, 1, 448]",
131
+ "name" : "value_cache",
132
+ "type" : "MultiArray"
133
+ },
134
+ {
135
+ "hasShapeFlexibility" : "0",
136
+ "isOptional" : "0",
137
+ "dataType" : "Float16",
138
+ "formattedType" : "MultiArray (Float16 1 × 448)",
139
+ "shortDescription" : "",
140
+ "shape" : "[1, 448]",
141
+ "name" : "kv_cache_update_mask",
142
+ "type" : "MultiArray"
143
+ },
144
+ {
145
+ "hasShapeFlexibility" : "0",
146
+ "isOptional" : "0",
147
+ "dataType" : "Float16",
148
+ "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1500)",
149
+ "shortDescription" : "",
150
+ "shape" : "[1, 1024, 1, 1500]",
151
+ "name" : "encoder_output_embeds",
152
+ "type" : "MultiArray"
153
+ },
154
+ {
155
+ "hasShapeFlexibility" : "0",
156
+ "isOptional" : "0",
157
+ "dataType" : "Float16",
158
+ "formattedType" : "MultiArray (Float16 1 × 448)",
159
+ "shortDescription" : "",
160
+ "shape" : "[1, 448]",
161
+ "name" : "decoder_key_padding_mask",
162
+ "type" : "MultiArray"
163
+ }
164
+ ],
165
+ "generatedClassName" : "TextDecoder",
166
+ "method" : "predict"
167
+ }
168
+ ]
openai_whisper-medium.en/TextDecoder.mlmodelc/model.mil ADDED
The diff for this file is too large to render. See raw diff
 
openai_whisper-medium.en/TextDecoder.mlmodelc/weights/weight.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0135442b0d1c893637ff0405edfe5387aaa19e5ce9ea57f73cd15314404e687
3
+ size 913426224
openai_whisper-medium.en/config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"_name_or_path": "openai/whisper-medium.en", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": ["WhisperForConditionalGeneration"], "attention_dropout": 0.0, "begin_suppress_tokens": [220, 50256], "bos_token_id": 50257, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0.0, "decoder_layers": 24, "decoder_start_token_id": 50257, "dropout": 0.0, "encoder_attention_heads": 16, "encoder_ffn_dim": 4096, "encoder_layerdrop": 0.0, "encoder_layers": 24, "eos_token_id": 50256, "forced_decoder_ids": [[1, 50362]], "init_std": 0.02, "is_encoder_decoder": true, "max_length": 448, "max_source_positions": 1500, "max_target_positions": 448, "model_type": "whisper", "num_hidden_layers": 24, "num_mel_bins": 80, "pad_token_id": 50256, "scale_embedding": false, "suppress_tokens": [1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 357, 366, 438, 532, 685, 705, 796, 930, 1058, 1220, 1267, 1279, 1303, 1343, 1377, 1391, 1635, 1782, 1875, 2162, 2361, 2488, 3467, 4008, 4211, 4600, 4808, 5299, 5855, 6329, 7203, 9609, 9959, 10563, 10786, 11420, 11709, 11907, 13163, 13697, 13700, 14808, 15306, 16410, 16791, 17992, 19203, 19510, 20724, 22305, 22935, 27007, 30109, 30420, 33409, 34949, 40283, 40493, 40549, 47282, 49146, 50257, 50357, 50358, 50359, 50360, 50361], "torch_dtype": "float32", "transformers_version": "4.27.0.dev0", "use_cache": true, "vocab_size": 51864}
openai_whisper-medium.en/generation_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"alignment_heads": [[11, 4], [14, 1], [14, 12], [14, 14], [15, 4], [16, 0], [16, 4], [16, 9], [17, 12], [17, 14], [18, 7], [18, 10], [18, 15], [20, 0], [20, 3], [20, 9], [20, 14], [21, 12]], "begin_suppress_tokens": [220, 50256], "bos_token_id": 50257, "decoder_start_token_id": 50257, "eos_token_id": 50256, "forced_decoder_ids": [[1, 50362]], "is_multilingual": false, "max_initial_timestamp_index": 50, "max_length": 448, "no_timestamps_token_id": 50362, "pad_token_id": 50256, "prev_sot_token_id": 50360, "return_timestamps": false, "suppress_tokens": [1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 357, 366, 438, 532, 685, 705, 796, 930, 1058, 1220, 1267, 1279, 1303, 1343, 1377, 1391, 1635, 1782, 1875, 2162, 2361, 2488, 3467, 4008, 4211, 4600, 4808, 5299, 5855, 6329, 7203, 9609, 9959, 10563, 10786, 11420, 11709, 11907, 13163, 13697, 13700, 14808, 15306, 16410, 16791, 17992, 19203, 19510, 20724, 22305, 22935, 27007, 30109, 30420, 33409, 34949, 40283, 40493, 40549, 47282, 49146, 50257, 50357, 50358, 50359, 50360, 50361], "transformers_version": "4.31.0.dev0"}