Petko
01/11/2024, 12:05 PMMarvin
01/11/2024, 12:06 PM--gpus
flag.
Here's how you could theoretically forward --gpus
arguments from Podman to Docker, although in reality Docker commands directly support GPU access using their own syntax.
1. Using Docker with NVIDIA GPUs (the officially supported way):
First, ensure the NVIDIA drivers and the NVIDIA Container Toolkit are installed on your host system. Then you can run Docker containers with GPU access using the --gpus
flag. For example:
sh
docker run --gpus all nvidia/cuda:10.0-base nvidia-smi
2. Using Podman with GPUs:
For Podman, the process is similar as long as your system has the necessary GPU support. You can use the --gpus
flag much like you would with Docker:
sh
podman run --gpus all <image> <command>
3. Forwarding --gpus
from Podman to Docker:
If you're scripting or have a special use case where you need to forward the --gpus
argument from Podman to Docker, you'd essentially be capturing the --gpus
flag from a Podman command and then crafting a corresponding Docker command. It's a bit unconventional, but here's a simple theoretical example:
sh
#!/bin/bash
# gpu_forward.sh
# This script forwards the GPU arguments from Podman to Docker.
# NOTE: This is a hypothetical example and might not work perfectly in practice.
# Capture arguments until you encounter the `--gpus` flag
args=()
while [[ "$#" -gt 0 ]]; do
case $1 in
--gpus) gpu_arg="$1 $2"; shift ;; # Capture the --gpus argument
*) args+=("$1") ;; # Add other arguments to the array
esac
shift
done
# Forward the captured GPU argument to Docker
if [ ! -z "$gpu_arg" ]; then
docker "${args[@]}" $gpu_arg
else
docker "${args[@]}"
fi
To use this script, you'd call it like so:
sh
./gpu_forward.sh run --gpus all <image> <command>
Please note that in practice, you shouldn't need to forward arguments from Podman to Docker like this, as you can simply use Docker's native --gpus
flag to access GPUs within containers.