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The chroot machine learning environment for amdgpu with ROCm.
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supersonictw/uruha
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The chroot machine learning environment for amdgpu with ROCm.
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 repositorybash init_rootfs.sh# Play the magic
Yep, only two commands, the script will download the rootfs and install ROCm suites automatically.
bash activate.sh
The script will mount/chroot/umount the rootfs automatically.
The default shell isbash, and"pyenv" pre-installed, you can use "pyenv" to download/activate python version on your prefer.
The script default behavior will defineHSA_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.