A Docker image based on rocm/pytorch with support for gfx803(Polaris 20-21 (XT/PRO/XL); RX580; RX570; RX560) and Python 3.8
For ROCM 5.3.0
After creating container, you will be logged as sduser
with activated python3.8 environment.
Supports docker and podman.
torch, torchvision and tensorflow-rocm packages are downloaded from https://github.com/xuhuisheng/rocm-gfx803
Every downloaded package should be in /packages
.
podman build -t rocm-pytorch-gfx803 ./rocm-pytorch-gfx803-docker
podman run -it --device=/dev/kfd --device=/dev/dri --net=host localhost/rocm-pytorch-gfx803
Not required, but recommended is -v /host:/container
parameter. It is easier to work when you have easy access to files already in your system. /host
can be any path on host and /container
any path on container.