how can i deploy distributed training on kubernete clusters with torch.distributed.launch

[ThomaswellY]

I have been using mmpretrain project https://github.com/open-mmlab/mmpretrain, which consists of abundant of classification scripts. However, they use torch.distributed.launch to start distributed training, I wonder is there any method under kubeflow operators to start such distributed training on k8s cluster?
PS: i have seeked help to training-operator and pytorch-operator, but can't see obvious solution.
Thanks in advance~ any hints would be helpful to me.

[alculquicondor]

Are you in the wrong repo?
This repo is about MPI. Pytorch is supported in https://github.com/kubeflow/training-operator

[tenzen-y]

@ThomaswellY If you would run torchrun, you should open an issues at training-operator repo. If you would run Distributed Pytorch Training with mpirun, we can answer your questions at this repo.

Which commands do you mean?

[ThomaswellY]

@alculquicondor @tenzen-y
I was looking to how to modify the original script which originally use torch.distributed.launch to start training to use mpirun to start training in mpi-operator.