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Update to Kind 1.27 and fix the integration tests #2637
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,78 +1,56 @@ | ||
| --- | ||
| --- | ||
| apiVersion: kubeflow.org/v1beta1 | ||
| kind: Experiment | ||
| metadata: | ||
| name: grid-example | ||
| namespace: kubeflow-user | ||
| name: grid | ||
| spec: | ||
| objective: | ||
| type: minimize | ||
| goal: 0.1 | ||
| objectiveMetricName: loss | ||
| algorithm: | ||
| algorithmName: grid | ||
| parallelTrialCount: 2 | ||
| maxTrialCount: 2 | ||
| maxFailedTrialCount: 2 | ||
| parameters: | ||
| - name: lr | ||
| parameterType: double | ||
| feasibleSpace: | ||
| max: '0.01' | ||
| min: '0.001' | ||
| step: '0.001' | ||
| - name: num-layers | ||
| parameterType: int | ||
| feasibleSpace: | ||
| max: '3' | ||
| min: '2' | ||
| - name: optimizer | ||
| parameterType: categorical | ||
| min: "0.01" | ||
| step: "0.005" | ||
| max: "0.05" | ||
| - name: momentum | ||
| parameterType: double | ||
| feasibleSpace: | ||
| list: | ||
| - adam | ||
| objective: | ||
| type: maximize | ||
| goal: 0.80 | ||
| objectiveMetricName: Validation-accuracy | ||
| additionalMetricNames: | ||
| - Train-accuracy | ||
| metricStrategies: | ||
| - name: Validation-accuracy | ||
| value: max | ||
| - name: Train-accuracy | ||
| value: max | ||
| algorithm: | ||
| algorithmName: grid | ||
| min: "0.5" | ||
| step: "0.1" | ||
| max: "0.9" | ||
| trialTemplate: | ||
| primaryContainerName: training-container | ||
| trialParameters: | ||
| - name: learningRate | ||
| description: Learning rate for the training model | ||
| reference: lr | ||
| - name: momentum | ||
| description: Momentum for the training model | ||
| reference: momentum | ||
| trialSpec: | ||
| apiVersion: batch/v1 | ||
| kind: Job | ||
| spec: | ||
| template: | ||
| metadata: | ||
| labels: | ||
| sidecar.istio.io/inject: 'false' | ||
| spec: | ||
| containers: | ||
| - command: | ||
| - python3 | ||
| - /opt/mxnet-mnist/mnist.py | ||
| - '--batch-size=64' | ||
| - '--lr=${trialParameters.learningRate}' | ||
| - '--num-layers=${trialParameters.numberLayers}' | ||
| - '--optimizer=${trialParameters.optimizer}' | ||
| image: docker.io/kubeflowkatib/mxnet-mnist:latest | ||
| name: training-container | ||
| - name: training-container | ||
| image: docker.io/kubeflowkatib/pytorch-mnist-cpu:latest | ||
| command: | ||
| - "python3" | ||
| - "/opt/pytorch-mnist/mnist.py" | ||
| - "--epochs=1" | ||
| - "--batch-size=16" | ||
| - "--lr=${trialParameters.learningRate}" | ||
| - "--momentum=${trialParameters.momentum}" | ||
| restartPolicy: Never | ||
| trialParameters: | ||
| - name: learningRate | ||
| description: Learning rate for the training model | ||
| reference: lr | ||
| - name: numberLayers | ||
| description: Number of training model layers | ||
| reference: num-layers | ||
| - name: optimizer | ||
| description: Training model optimizer (sdg, adam or ftrl) | ||
| reference: optimizer | ||
| primaryContainerName: training-container | ||
| successCondition: status.conditions.#(type=="Complete")#|#(status=="True")# | ||
| failureCondition: status.conditions.#(type=="Failed")#|#(status=="True")# | ||
| parallelTrialCount: 1 | ||
| maxTrialCount: 1 | ||
| maxFailedTrialCount: 1 | ||
| metricsCollectorSpec: | ||
| collector: | ||
| kind: StdOut | ||
| resumePolicy: LongRunning | ||
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This is duplicated.