Determine the mount point for deep learning experiments
Find the path relative to the Watson Machine Learning Accelerator mounting point for Deep Learning Experiments.
- Training data
- Training data is located in
/gpfs/mydatafs/
. - Training results
- Trained model data is located in
/gpfs/myresultsfs/
.
If your data is uploaded to NFS, determine the mount point:
-
Find the PV name:
oc get pvc wmla-mygpfs -o yaml | grep volumeName
For example, the output returns the PV name:
f:volumeName: {} volumeName: pvc-2007b8f2-cefb-431c-93bc-5b1c69658e69
- Using the PV name, obtain the NFS server
For example, using PV name pvc-2007b8f2-cefb-431c-93bc-5b1c69658e69:oc get pv pv-name -o yaml | grep " path:"
The path to the NFS server is returned:oc get pv pvc-2007b8f2-cefb-431c-93bc-5b1c69658e69 -o yaml | grep " path:"
path: /export/share1/wmla-wmla-mygpfs-pvc-2007b8f2-cefb-431c-93bc-5b1c69658e69
- Using the path to the NFS server, the relative path is
path-to-NFS-server/mydatafs
.On the NFS server, the path is:/export/share1/wmla-wmla-mygpfs-pvc-2007b8f2-cefb-431c-93bc-5b1c69658e69/mydatafs
If your data is uploaded to a service pod, determine the mount point:
- Get the wmla-dlpd pod:
zhao@mbp$ oc get po | grep wmla-dlpd wmla-dlpd-74d979b5c5-dklgw 2/2 Running 1 (16d ago) 23d
- Get the path for the pod:
Here, on the wmla-dlpd service pod, the path is /gpfs/mydatafs/.zhao@mbp$ oc exec -it wmla-dlpd-74d979b5c5-dklgw bash bash-4.4$ ls /gpfs/mydatafs/