component.yaml

name: Kubeflow - Serve Model using KFServing
description: Serve Models using Kubeflow KFServing
inputs:
  - {name: Action,                          type: String, default: 'create',   description: 'Action to execute on KFServing'}
  - {name: Model Name,                      type: String, default: '',         description: 'Name to give to the deployed model'}
  - {name: Default Model URI,               type: String, default: '',         description: 'Path of the S3 or GCS compatible directory containing default model.'}
  - {name: Canary Model URI,                type: String, default: '',         description: 'Optional Path of the S3 or GCS compatible directory containing canary model.'}
  - {name: Canary Model Traffic Percentage, type: String, default: '0',        description: 'Optional Traffic to be sent to default model'}
  - {name: Namespace,                       type: String, default: 'kubeflow', description: 'Kubernetes namespace where the KFServing service is deployed.'}
  - {name: Framework,                       type: String, default: 'tensorflow', description: 'Machine Learning Framework for Model Serving.'}
  - {name: Default Custom Model Spec,       type: String, default: '{}', description: 'Custom runtime default custom model container spec.'}
  - {name: Canary Custom Model Spec,        type: String, default: '{}', description: 'Custom runtime canary custom model container spec.'}
  - {name: Autoscaling Target,              type: String, default: '0',        description: 'Autoscaling Target Number'}
  - {name: Transformer Custom Image,        type: String, default: '0',        description: 'Transformer Custom Image Url'}
  - {name: KFServing Endpoint,              type: String, default: '', description: 'KFServing remote deployer API endpoint'}
outputs:
  - {name: Service Endpoint URI, type: String,                      description: 'URI of the deployed prediction service..'}
implementation:
  container:
    image: asia.gcr.io/kubernetes-271305/kf-serving:202004191540
    command: ['python']
    args: [
      -u, kfservingdeployer.py,
      --action,                   {inputValue: Action},
      --model-name,               {inputValue: Model Name},
      --default-model-uri,        {inputValue: Default Model URI},
      --canary-model-uri,         {inputValue: Canary Model URI},
      --canary-model-traffic,     {inputValue: Canary Model Traffic Percentage},
      --namespace,                {inputValue: Namespace},
      --framework,                {inputValue: Framework},
      --default-custom-model-spec,{inputValue: Default Custom Model Spec},
      --canary-custom-model-spec, {inputValue: Canary Custom Model Spec},
      --kfserving-endpoint,       {inputValue: KFServing Endpoint},
      --autoscaling-target,       {inputValue: Autoscaling Target},
      --transformer-custom-image, {inputValue: Transformer Custom Image},
      --output_path,              {outputPath: Service Endpoint URI}
    ]