11/9/2022 0 Comments Nvidia cuda toolkit license#Nvidia cuda toolkit license driverIi libnvidia-extra-470:amd64 470.57.02-0ubuntu0.20.04.1 amd64 Extra libraries for the NVIDIA driver Ii libnvidia-encode-470:amd64 470.57.02-0ubuntu0.20.04.1 amd64 NVENC Video Encoding runtime library Ii libnvidia-decode-470:amd64 470.57.02-0ubuntu0.20.04.1 amd64 NVIDIA Video Decoding runtime libraries Rc libnvidia-compute-450:amd64 450.51.05-0ubuntu1 amd64 NVIDIA libcompute package Ii libnvidia-common-470 470.57.02-0ubuntu0.20.04.1 all Shared files used by the NVIDIA libraries Nvcc -v output: nvcc: NVIDIA (R) Cuda compiler driverĬopyright (c) 2005-2021 NVIDIA CorporationĬuda compilation tools, release 11.4, V11.4.48īuild cuda_11.4.r11.4/compiler.30033411_0ĭpkg -l | grep nvidia output: ii libnvidia-cfg1-470:amd64 470.57.02-0ubuntu0.20.04.1 amd64 NVIDIA binary OpenGL/GLX configuration library | 0 N/A N/A 6360 C G C:\Windows\explorer.exe N/A | | 0 N/A N/A 1384 C G Insufficient Permissions N/A | | GPU GI CI PID Type Process name GPU Memory | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. I'm trying to use pytorch with my GPU (RTX 3070) on my Windows machine using WSL2, but I couldn't get it work even though I followed the Nvidia guide ( ).
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