#ADTOF running really slow

1 messages · Page 1 of 1 (latest)

woven spire
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Hi, did anyone try ADTOF? I got it running, but it's at 0.2x realtime on my RX 9070 XT, which feels really weird. Or is it just this slow?

https://github.com/xavriley/ADTOF-pytorch

The normal one at https://github.com/MZehren/ADTOF didn't run because tf-keras was incompatible with the models I think.

GitHub

Automatic transcription of drum audio to MIDI, using minimal dependencies (torch, librosa, pretty_midi) - xavriley/ADTOF-pytorch

GitHub

Additional material for the paper ADTOF: A large dataset of non-synthetic music for automatic drum transcription - MZehren/ADTOF

crystal flower
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Hi
What versions of OS and pytorch do you use?

woven spire
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I'm on EndeavourOS and kernel 6.18.4-arch1-1, Pytorch 2.11.0a0+ROCm 7.11.0a20260107

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I didn't yet update ROCm, I have a potentially fragile venv I'm developing in.

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System is Ryzen 9 9900X with 96GB of 6000MHz RAM.

woven spire
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I even modified ADTOF itself to apparently a faster FFT implementation, but total processing time is still slow.

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So, it's entirely possible I'm doing something weird too, since I'm not a coder.

crystal flower
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I just tested ADTOF-pytorch on W7900 and speed is 3.5x realtime. Could you update ROCm+pytorch and run adtof again. During script execution check GPU utilization via rocm-smi