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The chroot machine learning environment for amdgpu with ROCm.

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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.

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The chroot machine learning environment for amdgpu with ROCm.

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