RX580-rocM-tensorflow-ubuntu20.4-guide
ROCm-docker
RX580-rocM-tensorflow-ubuntu20.4-guide | ROCm-docker | |
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1 | 3 | |
95 | 393 | |
- | 1.3% | |
10.0 | 5.1 | |
over 1 year ago | 10 days ago | |
Shell | ||
- | MIT License |
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RX580-rocM-tensorflow-ubuntu20.4-guide
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Installation of tensorflow on ubuntu 20.04 with amd radeon r9 270 as my GPU
https://github.com/Grench6/RX580-rocM-tensorflow-ubuntu20.4-guide I think this might work but I'm getting error messages
ROCm-docker
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
https://rocm.docs.amd.com/projects/install-on-linux/en/lates... links to ROCm/ROCm-docker: https://github.com/ROCm/ROCm-docker which is the source of docker.io/rocm/rocm-terminal: https://hub.docker.com/r/rocm/rocm-terminal :
docker run -it --device=/dev/kfd --device=/dev/dri --group-add video rocm/rocm-terminal
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Stable Diffusion PR optimizes VRAM, generate 576x1280 images with 6 GB VRAM
Not sure about the 6600, but there is a guide for Linux at least:
https://m.youtube.com/watch?v=d_CgaHyA_n4&feature=emb_logo
And this is somehow relevant (possibly), as I kept the link open.
https://github.com/RadeonOpenCompute/ROCm-docker/issues/38
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It's working perfectly under Linux
As for the Docker image, I suppose you could compile the image (https://hub.docker.com/r/rocm/pytorch) by yourself using the sources (https://github.com/RadeonOpenCompute/ROCm-docker#building-images), which seems to be quite a bit of work. Better, you could just use an older tag of the upstream image, eg. rocm4.1.1_ubuntu18.04_py3.6_pytorch instead of rocm4.2_ubuntu18.04_py3.6_caffe2 or latest . Just make sure your container version matches your host ROCm version.
What are some alternatives?
awesome-kubernetes - A curated list for awesome kubernetes sources :ship::tada:
AiDungeon2-Docker-ROCm - Runs an AIDungeon2 fork in Docker on AMD ROCm hardware.
ZLUDA - CUDA on AMD GPUs
stable-diffusion - Go to lstein/stable-diffusion for all the best stuff and a stable release. This repository is my testing ground and it's very likely that I've done something that will break it.
docker-elk - The Elastic stack (ELK) powered by Docker and Compose.
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
Docker-OSX - Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
docker-mailserver - Production-ready fullstack but simple mail server (SMTP, IMAP, LDAP, Antispam, Antivirus, etc.) running inside a container.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM