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I am trying to run Ray with gpu support within a custom docker image and docker compose.
The Dockerfile I am using:
FROM rayproject/ray:latest-py39-cu121
WORKDIR /opt/project
USER root
RUN sudo apt-get update && \
apt-get install -y build-essential --no-install-recommends gcc git wget
CMD ["bash"]```
The docker compose file I am using:
docker compose build
docker compose run app bash
nvidia-smi I can see my cuda version being 12.2
python
import ray
print(ray.get_gpu_ids())
Issue Severity
High: It blocks me from completing my task.
The text was updated successfully, but these errors were encountered:
stephano41
added
bug
Something that is supposed to be working; but isn't
triage
Needs triage (eg: priority, bug/not-bug, and owning component)
labels
Jun 3, 2024
anyscalesam
added
question
Just a question :)
core
Issues that should be addressed in Ray Core
and removed
bug
Something that is supposed to be working; but isn't
labels
Jun 3, 2024
jjyao
added
P1
Issue that should be fixed within a few weeks
and removed
triage
Needs triage (eg: priority, bug/not-bug, and owning component)
labels
Jun 3, 2024
What happened + What you expected to happen
I am trying to run Ray with gpu support within a custom docker image and docker compose.
The Dockerfile I am using:
services:
app:
build:
context: .
dockerfile: Dockerfile
within the container, I can see that nvidia-smi recognises the gpu. However running ray.get_gpu_ids() returns an empty list.
I have tried the following base images with no luck:
rayproject/ray:latest
rayproject/ray:2.20.0.5708e7-py310-cu121
rayproject/ray-ml:latest
The commands I use:
Versions / Dependencies
cuda version 12.2
Reproduction script
The Dockerfile I am using:
The docker compose file:
The commands I used in order:
Issue Severity
High: It blocks me from completing my task.
The text was updated successfully, but these errors were encountered: