endolith

> @endolith I will have a look at the code and see what is causing this. Here is the traceback: `python run_localGPT.py --device_type=cpu` ``` (localgpt) λ python ingest.py --device_type=cpu 2023-06-19...

@OssBozier @mindwellsolutions Are you trying to run it _with_ CUDA, though? My GPU doesn't have enough memory so I'm trying to run it without. Yours might count as a different...

If I run `python run_localGPT.py --device_type=cpu` I no longer get the CUDA error, but I then get repeated `TimeoutError: The read operation timed out` while trying to download the vicuña...

Malwarebytes blocks the domain, too.  https://www.virustotal.com/gui/file/ef377079bcd6215f07aaba72c74c17a33cf2e5eb3eeed538fc2d0084670295d2/detection https://www.virustotal.com/gui/url/fcb185f6ba1129de7109ab280d1f021acb0f4aac873abf89082246aac570b7ce?nocache=1

It should be `YlOrRd`, `YlGnBu`, etc. (`Yl` = "Yellow") See https://colorbrewer2.org/export/colorbrewer.css

Yeah it appears to not be finished, sorry. I'm not sure why I pushed it that way. For now you can load the WAV into an array and process it...

Or just use the old version: https://gist.github.com/endolith/246092 That works as you would expect: ``` λ python thdncalculator.py "THD 75 harmonic -60 dB.wav" Analyzing "THD 75 harmonic -60 dB.wav"... Frequency: 40.000000...

See https://github.com/berndporr/sound_weighting_filters instead

@jonnor Yeah it should probably be adopted and just document the discrepancies at low fs

OK I started it. Hmm... Going back to [2004](https://github.com/matplotlib/matplotlib/blob/e34a333d00814124d3e19d462b9d78ac35e7a49a/lib/matplotlib/mlab.py#L1225) the code always had `abs()` in it, which I assume is for complex numbers. I think this would make it consistent...