Skip to content

The chroot machine learning environment for amdgpu with ROCm.

License

Notifications You must be signed in to change notification settings

supersonictw/uruha

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

54 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Uruha

The chroot machine learning environment for amdgpu with ROCm.

Installation

Choose the directory you prefer to storage your rootfs.

For me, I chosen a drive mounted directory, because ROCm will cost more than 16GB, it's so large.

git clone https://github.com/supersonictw/uruha.git . # Checkout the repository
bash init_rootfs.sh # Play the magic

Yep, only two commands, the script will download the rootfs and install ROCm suites automatically.

Usage

bash activate.sh

The script will mount/chroot/umount the rootfs automatically.

The default shell is bash, and "pyenv" pre-installed, you can use "pyenv" to download/activate python version on your prefer.

The script default behavior will define HSA_OVERRIDE_GFX_VERSION=10.3.0 in /root/.bashrc to support RX6XXX series RDNA2 GPUs, you can change the variable for supporting your device.

About

The chroot machine learning environment for amdgpu with ROCm.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages