realies

Can't revert snapshot on Win11 or Ubuntu VMs. Trying to do so while the VMs are running kills them instantly, and trying to do the same while they are off ends up in a spinner that never resolves (does nothing). Trying this with memory dump enabled on Q35-9.2 + OVMF VMs. It looks like the post request to VMajax.php fails with 500 Internal Server Error.

Yeah, the integration kind of sucks. After installing the latest VirtIO drivers and beta WinFSP I had to do this in an elevated prompt to show up extra shares: "C:\Program Files (x86)\WinFsp\bin\launchctl-x64.exe" start virtiofs viofs1 "extra share 1" M: "C:\Program Files (x86)\WinFsp\bin\launchctl-x64.exe" start virtiofs viofs2 "extra share 2" N: "C:\Program Files (x86)\WinFsp\bin\launchctl-x64.exe" start virtiofs viofs3 "extra share 3" P: And I still have a Z: share with one of the viofs devices... Edit: This got rid of the Z: drive. sc stop VirtioFsSvc sc config VirtioFsSvc start=demand

yes, amd vendor reset

is this supposed to work with a 9950x igpu? getting device driver error code 43 after the first shutdown/boot up of the vm using the igpu

Have you found a way to load the module or use another way to read a DDR5 SPD?

I want to use CUDA Toolkit and cuDNN in a Docker container but it appears that has to be installed on the host. Is there a way to add these as part of the driver installation? Classifier process output: 2024-03-11 22:45:37.214569: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI AVX512_BF16 FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. Classifier process output: 2024-03-11 22:45:37.219343: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero Classifier process output: 2024-03-11 22:45:37.219716: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory Classifier process output: 2024-03-11 22:45:37.219987: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublas.so.11'; dlerror: libcublas.so.11: cannot open shared object file: No such file or directory Classifier process output: 2024-03-11 22:45:37.220253: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcublasLt.so.11'; dlerror: libcublasLt.so.11: cannot open shared object file: No such file or directory Classifier process output: 2024-03-11 22:45:37.220501: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcufft.so.10'; dlerror: libcufft.so.10: cannot open shared object file: No such file or directory Classifier process output: 2024-03-11 22:45:37.220731: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcurand.so.10'; dlerror: libcurand.so.10: cannot open shared object file: No such file or directory Classifier process output: 2024-03-11 22:45:37.220954: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusolver.so.11'; dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory Classifier process output: 2024-03-11 22:45:37.221190: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcusparse.so.11'; dlerror: libcusparse.so.11: cannot open shared object file: No such file or directory Classifier process output: 2024-03-11 22:45:37.221443: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudnn.so.8'; dlerror: libcudnn.so.8: cannot open shared object file: No such file or directory Classifier process output: 2024-03-11 22:45:37.221448: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1850] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices...

Get a VPN that supports port forwarding. I think IVPN is similar to Mullvad in terms of privacy, however with less nodes, but with port forwarding. Getting a VPS and self-hosting a WireGuard server is also an option, at times cheaper than a VPN subscription.

In the Flash device settings: kernel /bzimage append amd_iommu=on iommu=pt pcie_acs_override=downstream,multifunction usbhid.quirks=0x0463:0xffff:0x08 initrd=/bzroot

trying to make a ups shut up with `usbhid.quirks=0x0463:0xffff:0x08`, it appears however that usbhid.quirks parameters do nothing, is unraid overriding this somehow?

I have a UPS on my router that I'd like to monitor using the NUT plugin. Please allow for: Running this plugin in parallel to the native UPS functionality Disabling the shutdown functionality

@Pjrezai, browser cache works on local addresses too. @Corneloues, here's an XML that I have just verified works fine: <?xml version="1.0"?> <Container version="2"> <Name>soulseek</Name> <Repository>realies/soulseek</Repository> <Registry>https://hub.docker.com/r/realies/soulseek/</Registry> <Network>bridge</Network> <MyIP/> <Shell>sh</Shell> <Privileged>false</Privileged> <Support/> <Project/> <Overview/> <Category/> <WebUI/> <TemplateURL/> <Icon>http://www.slsknet.org/news/sites/default/files/slsk_bird.jpg</Icon> <ExtraParams>--restart unless-stopped</ExtraParams> <PostArgs/> <CPUset/> <DateInstalled>1693615037</DateInstalled> <DonateText/> <DonateLink/> <Requires/> <Config Name="Appdata" Target="/data/.SoulseekQt" Default="/mnt/user/appdata/soulseek" Mode="rw" Description="" Type="Path" Display="always" Required="true" Mask="false">/mnt/user/appdata/soulseek</Config> <Config Name="Downloads" Target="/data/Soulseek Downloads" Default="" Mode="rw" Description="" Type="Path" Display="always" Required="true" Mask="false">/mnt/user/soulseek</Config> <Config Name="PUID" Target="PUID" Default="" Mode="" Description="" Type="Variable" Display="always" Required="false" Mask="false">99</Config> <Config Name="PGID" Target="PGID" Default="" Mode="" Description="" Type="Variable" Display="always" Required="false" Mask="false">100</Config> <Config Name="Soulseek Port" Target="57620" Default="57620" Mode="tcp" Description="" Type="Port" Display="always" Required="true" Mask="false">57620</Config> <Config Name="noVNC Port" Target="6080" Default="" Mode="tcp" Description="" Type="Port" Display="always" Required="false" Mask="false">6080</Config> </Container>

For me it only works via the local IP. Connecting from an external network however does not.

It might not be advised to do manual changes, but you can't ssh into the server when the VPN is on without this change.

It was added manually to wg0.conf. It allows port 22 to be accessible after starting the VPN. I think this is irrelevant and that it would be better if PostUp and PostDown values are not overwritten but mutated. For example the OS upgrade script could check if they exist in the current config file, and if they do, append '; /some/script/path/here' to the end of the line instead of replacing the whole line.

One of the Docker containers got unresponsive in 6.12.1 and attempting to reboot to 6.12.2 got the machine stuck in an unknown state. Had to manually press the reset button.