ai-ml/mix-train-and-inference/kueue/patch.yaml (52 lines of code) (raw):
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# [START gke_ai_ml_mix_train_and_inference_kueue_patch]
apiVersion: v1
kind: ConfigMap
metadata:
name: kueue-manager-config
data:
controller_manager_config.yaml: |
apiVersion: config.kueue.x-k8s.io/v1beta1
kind: Configuration
health:
healthProbeBindAddress: :8081
metrics:
bindAddress: :8080
# enableClusterQueueResources: true
webhook:
port: 9443
leaderElection:
leaderElect: true
resourceName: c1f6bfd2.kueue.x-k8s.io
controller:
groupKindConcurrency:
Job.batch: 5
Pod: 5
Workload.kueue.x-k8s.io: 5
LocalQueue.kueue.x-k8s.io: 1
ClusterQueue.kueue.x-k8s.io: 1
ResourceFlavor.kueue.x-k8s.io: 1
clientConnection:
qps: 50
burst: 100
#pprofBindAddress: :8083
#waitForPodsReady:
# enable: false
# timeout: 5m
# blockAdmission: false
# requeuingStrategy:
# timestamp: Eviction
# backoffLimitCount: null # null indicates infinite requeuing
# backoffBaseSeconds: 60
# backoffMaxSeconds: 3600
#manageJobsWithoutQueueName: true
#internalCertManagement:
# enable: false
# webhookServiceName: ""
# webhookSecretName: ""
integrations:
frameworks:
- "batch/job"
- "kubeflow.org/mpijob"
- "ray.io/rayjob"
- "ray.io/raycluster"
- "jobset.x-k8s.io/jobset"
- "kubeflow.org/mxjob"
- "kubeflow.org/paddlejob"
- "kubeflow.org/pytorchjob"
- "kubeflow.org/tfjob"
- "kubeflow.org/xgboostjob"
- "pod"
# externalFrameworks:
# - "Foo.v1.example.com"
podOptions:
# You can change namespaceSelector to define in which
# namespaces kueue will manage the pods.
namespaceSelector:
matchExpressions:
- key: kubernetes.io/metadata.name
operator: NotIn
values: [ kube-system, kueue-system ]
# Kueue uses podSelector to manage pods with particular
# labels. The default podSelector will match all the pods.
podSelector:
matchExpressions:
- key: kueue-job
operator: In
values: [ "true", "True", "yes" ]
# [END gke_ai_ml_mix_train_and_inference_kueue_patch]