Hello is this issue resolved by now? I have the same problem. I have a machine learning project using pytorch that is trained remotely. However the docker container is not started using the flags (–ipc=host nor --shm-size). The pytorch documentation (https://github.com/pytorch/pytorch#docker-image 12) says this is required to run multiple workers in a docker container. Setting the number of workers to 0 is not an adequate solution, because then training takes takes 10 times longer. Is there any way to get pytorch dataloaders working in a docker container? But: We are able to create the dockerfile by our selfs? Can we define it there? Can we apply a different method?