mirror of
https://github.com/hanzo-ml/katib.git
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Mahdi KhashanandGitHub
19db2d47d4
* move to ghcr Signed-off-by: mahdikhashan <[email protected]> * move images to ghcr Signed-off-by: mahdikhashan <[email protected]> * manifests Signed-off-by: mahdikhashan <[email protected]> * change registry in all path Signed-off-by: mahdikhashan <[email protected]> * update script Signed-off-by: mahdikhashan <[email protected]> * fix Signed-off-by: mahdikhashan <[email protected]> * fix Signed-off-by: mahdikhashan <[email protected]> * slight fix Signed-off-by: mahdikhashan <[email protected]> --------- Signed-off-by: mahdikhashan <[email protected]> Signed-off-by: Mahdi Khashan <[email protected]>
79 lines
2.2 KiB
YAML
79 lines
2.2 KiB
YAML
---
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# TODO (andreyvelich) This metrics collector image (kubeflowkatib/custom-metrics-collector) doesn't work in v1beta1.
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# It is currently using api.v1.alpha3.Manager instead of api.v1.beta1.Manager to report metrics.
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apiVersion: kubeflow.org/v1beta1
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kind: Experiment
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metadata:
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namespace: kubeflow
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name: custom-metrics-collector
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spec:
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objective:
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type: maximize
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goal: 0.99
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objectiveMetricName: accuracy
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metricsCollectorSpec:
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source:
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fileSystemPath:
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path: "/katib/mnist.log"
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kind: File
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collector:
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kind: Custom
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customCollector:
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args:
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- -m
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- accuracy
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- -s
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- katib-db-manager.kubeflow:6789
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- -path
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- /katib/mnist.log
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image: ghcr.io/kubeflow/katib/custom-metrics-collector:latest
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imagePullPolicy: Always
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name: custom-metrics-logger-and-collector
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env:
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- name: TrialNamePrefix
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valueFrom:
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fieldRef:
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fieldPath: metadata.name
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algorithm:
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algorithmName: random
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parallelTrialCount: 3
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maxTrialCount: 12
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maxFailedTrialCount: 3
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parameters:
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- name: lr
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parameterType: double
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feasibleSpace:
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min: "0.01"
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max: "0.03"
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- name: momentum
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parameterType: double
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feasibleSpace:
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min: "0.3"
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max: "0.7"
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trialTemplate:
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primaryContainerName: training-container
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trialParameters:
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- name: learningRate
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description: Learning rate for the training model
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reference: lr
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- name: momentum
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description: Momentum for the training model
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reference: momentum
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trialSpec:
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apiVersion: batch/v1
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kind: Job
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spec:
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template:
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spec:
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containers:
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- name: training-container
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image: ghcr.io/kubeflow/katib/pytorch-mnist-cpu:latest
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command:
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- "python3"
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- "/opt/pytorch-mnist/mnist.py"
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- "--epochs=1"
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- "--log-path=/katib/mnist.log"
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- "--lr=${trialParameters.learningRate}"
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- "--momentum=${trialParameters.momentum}"
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restartPolicy: Never
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