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Dockerfiles for some popular AGI software using AMD ROCM

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Images

If you want to use this please build the images yourself.

ROCm 5.4.3

Jammy base + ROCm 5.4.3

podman build -t repo.despera.space/iru/rocm:5.4.3 -f Dockerfile.5.4.3 .
podman run -it --privileged  -v /dev/dri:/dev/dri -v /dev/kfd:/dev/kfd  repo.despera.space/iru/rocm:5.4.3 /bin/bash

Jammy base + ROCm 5.4.3 + Torch 5.4.2 + Python 3.10 + Git

podman build -t repo.despera.space/iru/rocm:5.4.3-torch5.4.2 -f torch/Dockerfile.5.4.3 .
podman run -it --privileged  -v /dev/dri:/dev/dri -v /dev/kfd:/dev/kfd  repo.despera.space/iru/rocm:5.4.3-torch5.4.2 /bin/bash

ROCm 5.2.3

Focal base + ROCm 5.2.3

podman build -t repo.despera.space/iru/rocm:5.2.3 -f Dockerfile.5.2.3 .
podman run -it --privileged  -v /dev/dri:/dev/dri -v /dev/kfd:/dev/kfd  repo.despera.space/iru/rocm:5.2.3 /bin/bash

Focal base + ROCm 5.2.3 + Torch 1.13.1 + Python + Git

podman build -t repo.despera.space/iru/rocm:5.2.3-torch-1.13.1 -f torch/Dockerfile.5.2.3 .
podman run -it --privileged  -v /dev/dri:/dev/dri -v /dev/kfd:/dev/kfd  repo.despera.space/iru/rocm:5.2.3-torch-1.13.1 /bin/bash

Testing

ROCm

Run rocminfo or rocm-smi.

Torch

Run Python3.

import torch
torch.cuda.is_available()
torch.cuda.device_count()
torch.cuda.get_device_name(0)

Why are those so large?

The libraries installed are quite big. I have no idea why

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Dockerfiles for some popular AGI software using AMD ROCM

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