1.1 KiB
1.1 KiB
--8<-- [start:requirements]
- GPU: Validated on gfx942 (It should be supported on the AMD GPUs that are supported by vLLM.)
--8<-- [end:requirements]
--8<-- [start:set-up-using-python]
vLLM-Omni current recommends the steps in under setup through Docker Images.
--8<-- [start:pre-built-wheels]
--8<-- [end:pre-built-wheels]
--8<-- [start:build-wheel-from-source]
--8<-- [end:build-wheel-from-source]
--8<-- [start:build-docker]
Build docker image
DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile.rocm -t vllm-omni-rocm .
If you want to specify which GPU Arch to build for to cutdown build time:
DOCKER_BUILDKIT=1 docker build \
-f docker/Dockerfile.rocm \
--build-arg PYTORCH_ROCM_ARCH="gfx942;gfx950" \
-t vllm-omni-rocm .
Launch the docker image
docker run -it \
--network=host \
--group-add=video \
--ipc=host \
--cap-add=SYS_PTRACE \
--security-opt seccomp=unconfined \
--device /dev/kfd \
--device /dev/dri \
-v <path/to/model>:/app/model \
vllm-omni-rocm \
bash