From c32f1fa54a63d44cacb4d58d26fa2dc43ea83fd2 Mon Sep 17 00:00:00 2001 From: Chris Braun Date: Wed, 21 Sep 2022 14:54:16 +0200 Subject: [PATCH] Updated Install and Run on AMD GPUs (markdown) --- Install-and-Run-on-AMD-GPUs.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/Install-and-Run-on-AMD-GPUs.md b/Install-and-Run-on-AMD-GPUs.md index 4b29fa6..853a4ae 100644 --- a/Install-and-Run-on-AMD-GPUs.md +++ b/Install-and-Run-on-AMD-GPUs.md @@ -17,9 +17,7 @@ The next generations should work with regular performance. You can follow the li to use the same operating system, follow the steps there to fix this issue. If there is no clear way to compile or install the MIOpen kernels for your operating system, consider following the Docker guide below. -# Installing and running using Docker -This is only tested using a Linux host! - +# Installing and running on Linux with AMD GPUs (Docker) Pull the latest `rocm/pytorch` Docker image, start the image and attach to the container (taken from the `rocm/pytorch` documentation): `docker run -it --network=host --device=/dev/kfd --device=/dev/dri --group-add=video --ipc=host --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v $HOME/dockerx:/dockerx rocm/pytorch`