Comments (1)
Looks like K8s automatically adds the creationTimestamp to metadata so we don't have to.
- apiVersion: mlkube.io/v1beta1
kind: TfJob
metadata:
creationTimestamp: 2017-07-26T06:07:49Z
labels:
test.mlkube.io: ""
name: gpu-load-test-job-6sfu
namespace: default
resourceVersion: "11348"
selfLink: /apis/mlkube.io/v1beta1/namespaces/default/tfjobs/gpu-load-test-job-6sfu
uid: c0678622-71c8-11e7-a0f8-42010a8e0021
spec:
RuntimeId: 5ryc
replica_specs:- replicas: 1
template:
metadata:
creationTimestamp: null
spec:
containers:
- args:
- --gpu
env:
- name: LD_LIBRARY_PATH
value: /usr/local/cuda/lib64
image: gcr.io/cloud/tf_smoke_cmle-375-20:latest
name: tensorflow
resources: {}
securityContext:
privileged: true
volumeMounts:
- mountPath: /dev/nvidia0
name: dev-nvidia
- mountPath: /dev/nvidiactl
name: dev-nvidiactl
- mountPath: /dev/nvidia-uvm
name: dev-nvidia-uvm
restartPolicy: OnFailure
volumes:
- hostPath:
path: /dev/nvidia0
name: dev-nvidia
- hostPath:
path: /dev/nvidiactl
name: dev-nvidiactl
- hostPath:
path: /dev/nvidia-uvm
name: dev-nvidia-uvm
tf_port: 2222
tf_replica_type: MASTER
status:
conditions: null
controlPaused: false
phase: Done
reason: ""
replicaStatuses: - ReplicasStates:
Succeeded: 1
state: Succeeded
tf_replica_type: MASTER
state: Succeeded
- replicas: 1
from training-operator.
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from training-operator.