[feature] Can't increase/attach shared memory to pipeline task in kfp sdk v2

[hankug1234]

Feature Area

apiVersion: "kubeflow.org/v1alpha1"
kind: PodDefault
metadata:
name: shm
namespace: kubeflow-user-example-com
spec:
selector:
matchLabels:
pipelines.kubeflow.org/v2_component: "true"
desc: "shm volume"
volumeMounts:

• name: shmdir
  mountPath: /dev/shm
  volumes:
• name: shmdir
  emptyDir:
  medium: Memory
  sizeLimit: "1G"

What feature would you like to see?

i faced problem that share memory out ouf bound error when use kfp v2 with pytorch dataLoder
and i found "[bug] Can't increase/attach shared memory to pipeline task in kfp sdk v2, e.g. PyTorch training fails. " bug report
but there wasn't instruction about proper solution but i found other way to solve this problem so i suggest this way

What is the use case or pain point?

workaround

i used PodDefault kubeflow crd and allocate new shm volume on each kubeflow pod
my yaml file instruction was written above

i hope this solution help to other people that faced same issue and have a nice day

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