My custom Docker environment breaks unless I can provide the following flags with the docker run
command: --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864
. This has led to me being unable to deploy endpoints either locally, or online, since presumably the docker run
command is being handled in the backend by azure ml. So my question is, can I somehow include custom docker run
commands on deployment, or is there a workaround which would allow me to use this environment with an endpoint deployment?
Thanks in advance, and apologies if I am asking a naïve question, I am quite new to this. I could not find anything in the documentation that seemed applicable.