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Qualcomm AI Engine Direct - Tag multimodal encoder quantized I/O as uint16 - #22924
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/22924
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…int16 (pytorch#22924) ### Summary Follow-up to: pytorch#20805 Remove the FP32 tagging workaround for multimodal encoder quantized I/O and tag it as uint16 instead. ### Test plan ``` bash python examples/qualcomm/oss_scripts/llama/llama.py --build_folder build-android --device ${SERIAL_NUM} --soc_model ${SOC_MODEL} --decoder_model granite_speech_3_3-2b --model_mode hybrid --prefill_ar_len 128 --max_seq_len 1024 --prompt "can you transcribe the speech into a written format?" --audio_path "https://huggingface.co/ibm-granite/granite-speech-3.3-2b/resolve/main/10226_10111_000000.wav?download=true" --calib_samples examples/qualcomm/oss_scripts/llama/assets/samples/audio.json ``` cc: @psiddh @shewu-quic
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Summary
Follow-up to: #20805
Remove the FP32 tagging workaround for multimodal encoder quantized I/O and tag it as uint16 instead.
Test plan
cc: @psiddh @shewu-quic