name: SageMaker - Deploy Model
description: Deploy Machine Learning Model Endpoint in SageMaker
inputs:
- {name: region, type: String, description: The region for the SageMaker resource.}
- {name: endpoint_url, type: String, description: The URL to use when communicating
    with the SageMaker service., default: ''}
- {name: assume_role, type: String, description: The ARN of an IAM role to assume
    when connecting to SageMaker., default: ''}
- {name: tags, type: JsonObject, description: 'An array of key-value pairs, to categorize
    AWS resources.', default: '{}'}
- {name: endpoint_name, type: String, description: The name of the endpoint., default: ''}
- {name: endpoint_config_name, type: String, description: 'The name of the endpoint
    configuration. If an existing endpoint is being updated, a suffix is automatically
    added if this config name exists.', default: ''}
- {name: endpoint_config_tags, type: JsonObject, description: 'An array of key-value
    pairs, to categorize AWS resources.', default: '{}'}
- {name: resource_encryption_key, type: String, description: The AWS KMS key that
    Amazon SageMaker uses to encrypt data on the storage volume attached to the ML
    compute instance(s)., default: ''}
- name: update_endpoint
  type: Bool
  description: Update endpoint if it exists.
  default: "False"
- {name: variant_name_1, type: String, description: The name of the production variant.,
  default: variant-name-1}
- {name: model_name_1, type: String, description: The model name used for endpoint
    deployment.}
- {name: initial_instance_count_1, type: Integer, description: Number of instances
    to launch initially., default: '1'}
- {name: instance_type_1, type: String, description: The ML compute instance type.,
  default: ml.m4.xlarge}
- {name: initial_variant_weight_1, type: String, description: Determines initial traffic
    distribution among all of the models that you specify in the endpoint configuration.,
  default: '1.0'}
- {name: accelerator_type_1, type: String, description: The size of the Elastic Inference
    (EI) instance to use for the production variant., default: ''}
- {name: variant_name_2, type: String, description: The name of the production variant.,
  default: variant-name-2}
- {name: model_name_2, type: String, description: The model name used for endpoint
    deployment., default: ''}
- {name: initial_instance_count_2, type: Integer, description: Number of instances
    to launch initially., default: '1'}
- {name: instance_type_2, type: String, description: The ML compute instance type.,
  default: ml.m4.xlarge}
- {name: initial_variant_weight_2, type: String, description: Determines initial traffic
    distribution among all of the models that you specify in the endpoint configuration.,
  default: '1.0'}
- {name: accelerator_type_2, type: String, description: The size of the Elastic Inference
    (EI) instance to use for the production variant., default: ''}
- {name: variant_name_3, type: String, description: The name of the production variant.,
  default: variant-name-3}
- {name: model_name_3, type: String, description: The model name used for endpoint
    deployment., default: ''}
- {name: initial_instance_count_3, type: Integer, description: Number of instances
    to launch initially., default: '1'}
- {name: instance_type_3, type: String, description: The ML compute instance type.,
  default: ml.m4.xlarge}
- {name: initial_variant_weight_3, type: String, description: Determines initial traffic
    distribution among all of the models that you specify in the endpoint configuration.,
  default: '1.0'}
- {name: accelerator_type_3, type: String, description: The size of the Elastic Inference
    (EI) instance to use for the production variant., default: ''}
outputs:
- {name: endpoint_name, description: The created endpoint name.}
implementation:
  container:
    image: public.ecr.aws/kubeflow-on-aws/aws-sagemaker-kfp-components:1.1.2
    command: [python3]
    args:
    - deploy/src/sagemaker_deploy_component.py
    - --region
    - {inputValue: region}
    - --endpoint_url
    - {inputValue: endpoint_url}
    - --assume_role
    - {inputValue: assume_role}
    - --tags
    - {inputValue: tags}
    - --endpoint_name
    - {inputValue: endpoint_name}
    - --endpoint_config_name
    - {inputValue: endpoint_config_name}
    - --endpoint_config_tags
    - {inputValue: endpoint_config_tags}
    - --resource_encryption_key
    - {inputValue: resource_encryption_key}
    - --update_endpoint
    - {inputValue: update_endpoint}
    - --variant_name_1
    - {inputValue: variant_name_1}
    - --model_name_1
    - {inputValue: model_name_1}
    - --initial_instance_count_1
    - {inputValue: initial_instance_count_1}
    - --instance_type_1
    - {inputValue: instance_type_1}
    - --initial_variant_weight_1
    - {inputValue: initial_variant_weight_1}
    - --accelerator_type_1
    - {inputValue: accelerator_type_1}
    - --variant_name_2
    - {inputValue: variant_name_2}
    - --model_name_2
    - {inputValue: model_name_2}
    - --initial_instance_count_2
    - {inputValue: initial_instance_count_2}
    - --instance_type_2
    - {inputValue: instance_type_2}
    - --initial_variant_weight_2
    - {inputValue: initial_variant_weight_2}
    - --accelerator_type_2
    - {inputValue: accelerator_type_2}
    - --variant_name_3
    - {inputValue: variant_name_3}
    - --model_name_3
    - {inputValue: model_name_3}
    - --initial_instance_count_3
    - {inputValue: initial_instance_count_3}
    - --instance_type_3
    - {inputValue: instance_type_3}
    - --initial_variant_weight_3
    - {inputValue: initial_variant_weight_3}
    - --accelerator_type_3
    - {inputValue: accelerator_type_3}
    - --endpoint_name_output_path
    - {outputPath: endpoint_name}