!QhvgabMQzwEQeWehhZ:lossy.network

NixOS Home Automation

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Declarative Home Automation and other Sidequests | https://wiki.nixos.org/wiki/Home_Assistant133 Servers

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24 Jan 2025
@hexa:lossy.network@hexa:lossy.networklike by-name21:33:40
@hexa:lossy.network@hexa:lossy.networkcomponent-packages.nix is the autogenerated map of integrated components21:34:08
@hexa:lossy.network@hexa:lossy.network * component-packages.nix is the autogenerated map of integrated components 21:34:18
@motiejus:jakstys.ltmotiejushm, so it's supposed to work then?22:47:53
@motiejus:jakstys.ltmotiejus(if yes, how do I add it to extraComponents?)22:48:35
@hexa:lossy.network@hexa:lossy.network
nix-repl> home-assistant-custom-components.frigate
«derivation /nix/store/l136bbv68aj1z4djiggwd0hasdlbckwg-python3.13-blakeblackshear-frigate-5.4.0.drv»
22:54:30
@hexa:lossy.network@hexa:lossy.networknote that it is out of date and a PR to update it has stalled for two weeks22:55:18
25 Jan 2025
@laurynasp:matrix.orglaurynasp

Out of curiosity, those who run faster-shisper, what hardware do you use?

  1. Cloud
  2. Raspberry
  3. desktop pc
07:42:37
@laurynasp:matrix.orglaurynasp *

Out of curiosity, those who run faster-shisper, what hardware do you use?

  1. Cloud
  2. Raspberry
  3. desktop pc
  4. some dedicated hardware jetson, google coral etc
07:46:49
@laurynasp:matrix.orglaurynasp* Out of curiosity, those who run faster-shisper, what hardware do you use? 1 Cloud 2. Raspberry 3. desktop pc 4. some dedicated hardware jetson, google coral etc07:46:58
@laurynasp:matrix.orglaurynasp *

Out of curiosity, those who run faster-shisper, what hardware do you use?

  1. Cloud
  2. Raspberry
  3. desktop pc
  4. some dedicated hardware jetson, google coral etc
07:47:12
@laurynasp:matrix.orglaurynasp based on journalctl -u wyoming-faster-whisper.., it takes
~30s on pi 4B, but surprisingly it takes ~4min on my desktop Ryzen 7 2700 (ryzen runs old nixos version, but I would be suprisied if older software would have such a huge impact)
07:47:21
@laurynasp:matrix.orglaurynasp *

Out of curiosity, those who run faster-whisper, what hardware do you use?

  1. Cloud
  2. Raspberry
  3. desktop pc
  4. some dedicated hardware jetson, google coral etc
07:47:47
@laurynasp:matrix.orglaurynasp * based on journalctl -u wyoming-faster-whisper.., to process simple queries like "what time is it?" it takes
~30s on pi 4B, but surprisingly it takes ~4min on my desktop Ryzen 7 2700 (ryzen runs old nixos version, but I would be suprisied if older software would have such a huge impact)
07:48:56
@laurynasp:matrix.orglaurynasp * based on journalctl -u wyoming-faster-whisper.., to process simple queries like "what time is it?" it takes
~30s on pi 4B
~4min on my desktop Ryzen 7 2700 (ryzen runs old nixos version, but I would be surprisied if older software would have such a huge impact)
07:49:43
@laurynasp:matrix.orglaurynasp * based on journalctl -u wyoming-faster-whisper.., to process simple queries like "what time is it?" with "medium-int8" model it takes
~30s on pi 4B
~4min on my desktop Ryzen 7 2700 (ryzen runs old nixos version, but I would be surprisied if older software would have such a huge impact)
07:51:38
@laurynasp:matrix.orglaurynaspSimilarly, which models do you guys use for faster-whisper?07:52:21
@uep:matrix.orguep I'm running on a Lenovo m920q tiny.. usff PC 08:02:16
@uep:matrix.orguepIt's.. rather slow and I haven't looked into it yet, really only had time for some initial random play08:03:13
@uep:matrix.orguepI went off to unexpose several hundred entities so it wouldn't spend forever trying to match them all08:04:42
@uep:matrix.orguepHaven't really done much more testing since doing that 08:05:03
@laurynasp:matrix.orglaurynasp

yeah, I haven't done much testing either, I just thought I could reduce 30s by using beefier cpu, and was suprised that it takes almost 10 times longer outside raspberry 4.

I tested against framework's Ryzen 7 7840U, and it is also 3-4min...

Upon closer investigations, faster-whisper on both Ryzen machine printed error wyoming-faster-whisper[2771726]: Error in cpuinfo: failed to parse processor information from /proc/cpuinfo, so perhaps to downgrades to single thread or smth

08:12:21
@laurynasp:matrix.orglaurynasp *

yeah, I haven't done much testing either, I just thought I could reduce 30s by using beefier cpu, and was suprised that it takes almost 10 times longer outside raspberry 4.

I have just tested against framework's Ryzen 7 7840U, and it is also 3-4min...

Upon closer investigations, faster-whisper on both Ryzen machine printed error wyoming-faster-whisper[2771726]: Error in cpuinfo: failed to parse processor information from /proc/cpuinfo, so perhaps to downgrades to single thread or smth

08:12:58
@laurynasp:matrix.orglaurynasp *

yeah, I haven't done much testing either, I just thought I could reduce 30s by using beefier cpu, and was suprised that it takes almost 10 times longer outside raspberry 4.

I have just tested against framework's Ryzen 7 7840U, and it is also 3-4min...

Upon closer investigations, faster-whisper on both Ryzen machines printed error wyoming-faster-whisper[2771726]: Error in cpuinfo: failed to parse processor information from /proc/cpuinfo, so perhaps it downgrades to single thread or smth

08:24:37
@uep:matrix.orguepimage.png
Download image.png
08:28:49
@uep:matrix.orguepit has these things in it, and it's running in a nixos-container so no access to whatever (measly integrated) gpu either08:29:35
@hexa:lossy.network@hexa:lossy.network laurynasp: it should be able to access /proc/cpuinfo since https://github.com/NixOS/nixpkgs/pull/372898 09:28:54
@hexa:lossy.network@hexa:lossy.network can you check systemctl show -P ProcSubset on your wyoming-faster-whisper systemd unit and report the value back? 09:29:37
@hexa:lossy.network@hexa:lossy.network also check the new option description for model https://search.nixos.org/options?channel=unstable&show=services.wyoming.faster-whisper.servers.%3Cname%3E.model&from=0&size=50&sort=relevance&type=packages&query=faster-whisper 09:38:26
@hexa:lossy.network@hexa:lossy.network * also check the new option description for model 09:40:08

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