|=|Īnd I run nvcc -V I get: nvcc: NVIDIA (R) Cuda compiler driverĬopyright (c) 2005-2019 NVIDIA CorporationĬuda compilation tools, release 10.1, V10.1.243 | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M.
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. I then followed the installation instructions using a local. Warranty not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.Īnd I have the correct headers installed, verified by trying to install them with sudo apt-get install linux-headers-$(uname -r): Reading package lists. This is free software see the source for copying conditions. I also have gcc 7.5 installed, verified by gcc -version gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0Ĭopyright (C) 2017 Free Software Foundation, Inc. My graphics card is a GeForce 845M, verified by lspci | grep nvidia: 01:00.0 3D controller: NVIDIA Corporation GM107M (rev a2)Ġ1:00.1 Audio device: NVIDIA Corporation Device 0fbc (rev a1)
I have followed the steps on the installation guide for Ubuntu 18.04 (my specific distribution is Xubuntu). I realize it is probably not going to be sufficient for real machine learning but I am trying to do it so I can learn the process of getting CUDA installed. It's an older model but it does have an Nvidia graphics card. I'm trying to run Pytorch on a laptop that I have.
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