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tensor-pool.yaml
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apiVersion: v1
kind: Service
metadata:
name: condor-head
labels:
app: condor-head
spec:
ports:
- port: 9618
name: condor
clusterIP: None
selector:
app: condor-head
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: condor-head
labels:
app: condor-head
spec:
selector:
matchLabels:
app: condor-head
serviceName: "condor"
template:
metadata:
labels:
app: condor-head
spec:
initContainers:
- name: init-condor
image: sfiligoi/prp-htcondor-pool:wn-init
imagePullPolicy: Always
resources:
limits:
memory: 1Gi
cpu: 1
requests:
memory: 1Gi
cpu: 1
volumeMounts:
- mountPath: /docker-init
name: docker-init
containers:
- name: main
image: centos:centos7
resources: # These resource values should be enough for a small pool
limits:
memory: 16Gi
cpu: 2
requests:
memory: 4Gi
cpu: 1
command: ["/docker-init/htcondor/start_condor_head.sh"]
ports:
- containerPort: 9618
name: htcondor
volumeMounts:
- name: poolpasswd
mountPath: /etc/wn-init/poolpasswd
subPath: poolpasswd
readOnly: true
- mountPath: /docker-init
name: docker-init
- mountPath: /opt/htcondor
name: condor-bins
- mountPath: /var/lib/htcondor
name: condor-state
volumes:
- name: poolpasswd
secret:
secretName: condor-poolpassswd
items:
- key: poolpasswd
path: poolpasswd
defaultMode: 256
- name: docker-init
emptyDir: {}
- name: condor-bins
emptyDir: {}
- name: condor-state # Keep this on a truly persistent partition, if you have one
emptyDir: {}
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
name: tensor-submit
labels:
app: tensor-submit
spec:
selector:
matchLabels:
app: tensor-submit
serviceName: "condor"
template:
metadata:
labels:
app: tensor-submit
spec:
initContainers:
- name: init-condor
image: sfiligoi/prp-htcondor-pool:wn-init
imagePullPolicy: Always
resources:
limits:
memory: 1Gi
cpu: 1
requests:
memory: 1Gi
cpu: 1
volumeMounts:
- mountPath: /docker-init
name: docker-init
containers:
- name: main
# You may use any image that you like for interactive use
image: tensorflow/tensorflow:latest-py3
resources: # These resource values should be enough for condor itself, but tweak if planning other activity in pool
limits:
memory: 16Gi
cpu: 2
requests:
memory: 4Gi
cpu: 1
command: ["/docker-init/htcondor/start_condor_submit.sh","condor-head"]
volumeMounts:
- name: poolpasswd
mountPath: /etc/wn-init/poolpasswd
subPath: poolpasswd
readOnly: true
- mountPath: /docker-init
name: docker-init
- mountPath: /opt/htcondor
name: condor-bins
- mountPath: /var/lib/htcondor
name: condor-state
volumes:
- name: poolpasswd
secret:
secretName: condor-poolpassswd
items:
- key: poolpasswd
path: poolpasswd
defaultMode: 256
- name: docker-init
emptyDir: {}
- name: condor-bins
emptyDir: {}
- name: condor-state # Keep this on a truly persistent partition, if you have one
emptyDir: {}
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: tensor-wn
labels:
app: tensor-wn
spec:
replicas: 3
selector:
matchLabels:
app: tensor-wn
template:
metadata:
labels:
app: tensor-wn
spec:
initContainers:
- name: init-condor
image: sfiligoi/prp-htcondor-pool:wn-init
imagePullPolicy: Always
resources:
limits:
memory: 1Gi
cpu: 1
requests:
cpu: 1
volumeMounts:
- mountPath: /docker-init
name: docker-init
containers:
- name: main
# You may use any image that is suitable for your apps
image: tensorflow/tensorflow:latest-gpu-py3
env:
- name: OS_IMAGE # This will be advertised in condor, and can be used for matching jobs
value: "tensorflow/tensorflow:latest-gpu-py3"
resources: # Tune this to your app needs
limits:
nvidia.com/gpu: 1
memory: 16Gi
cpu: 2
requests:
nvidia.com/gpu: 1
memory: 4Gi
cpu: 1
command: ["/docker-init/htcondor/start_condor_wn.sh","condor-head"]
#command: ["/bin/sh", "-c","sleep infinity"]
volumeMounts:
- name: poolpasswd
mountPath: /etc/wn-init/poolpasswd
subPath: poolpasswd
readOnly: true
- mountPath: /docker-init
name: docker-init
- mountPath: /opt/htcondor
name: condor-bins
volumes:
- name: poolpasswd
secret:
secretName: condor-poolpassswd
items:
- key: poolpasswd
path: poolpasswd
defaultMode: 256
- name: docker-init
emptyDir: {}
- name: condor-bins
emptyDir: {}