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feat: migrated common components to v2 (#4245)
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‎assets/common/components/batch_deploy_model/asset.yaml‎

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type: component
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spec: spec.yaml
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categories: ["Models"]

‎assets/common/components/batch_deploy_model/spec.yaml‎

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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: batch_deploy_model
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version: 0.0.6
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type: command
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is_deterministic: True
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display_name: Batch deploy model
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description:
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Batch deploy a model to a workspace. The component works on compute with [MSI](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-manage-compute-instance?tabs=python) attached.
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environment: azureml://registries/azureml/environments/python-sdk-v2/versions/31
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code: ../../src
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command: >-
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python batch_deploy.py
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$[[--registration_details_folder ${{inputs.registration_details_folder}}]]
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$[[--model_id ${{inputs.model_id}}]]
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$[[--inference_payload_file ${{inputs.inference_payload_file}}]]
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$[[--inference_payload_folder ${{inputs.inference_payload_folder}}]]
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$[[--endpoint_name ${{inputs.endpoint_name}}]]
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$[[--deployment_name ${{inputs.deployment_name}}]]
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$[[--compute_name ${{inputs.compute_name}}]]
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$[[--size ${{inputs.size}}]]
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$[[--min_instances ${{inputs.min_instances}}]]
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$[[--max_instances ${{inputs.max_instances}}]]
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$[[--idle_time_before_scale_down ${{inputs.idle_time_before_scale_down}}]]
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$[[--output_file_name ${{inputs.output_file_name}}]]
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$[[--max_concurrency_per_instance ${{inputs.max_concurrency_per_instance}}]]
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$[[--error_threshold ${{inputs.error_threshold}}]]
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$[[--max_retries ${{inputs.max_retries}}]]
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$[[--timeout ${{inputs.timeout}}]]
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$[[--logging_level ${{inputs.logging_level}}]]
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$[[--mini_batch_size ${{inputs.mini_batch_size}}]]
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$[[--instance_count ${{inputs.instance_count}}]]
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--batch_job_output_folder ${{outputs.batch_job_output_folder}}
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inputs:
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# Output of registering component
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registration_details_folder:
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type: uri_folder
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optional: true
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description: Folder containing model registration details in a JSON file named model_registration_details.json
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model_id:
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type: string
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optional: true
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description: |
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Asset ID of the model registered in workspace/registry.
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Registry - azureml://registries/<registry-name>/models/<model-name>/versions/<version>
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Workspace - azureml:<model-name>:<version>
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inference_payload_file:
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type: uri_file
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optional: true
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description: File containing data used to validate deployment
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inference_payload_folder:
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type: uri_folder
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optional: true
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description: Folder containing files used to validate deployment
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endpoint_name:
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type: string
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optional: true
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description: Name of the endpoint
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deployment_name:
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type: string
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optional: true
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default: default
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description: Name of the deployment
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compute_name:
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type: string
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optional: true
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default: cpu-cluster
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description: Name of the compute cluster to execute the batch scoring jobs on. New compute will be created if the compute cluster is not present.
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size:
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type: string
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optional: true
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enum:
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- Standard_DS1_v2
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- Standard_DS2_v2
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- Standard_DS3_v2
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- Standard_DS4_v2
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- Standard_DS5_v2
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- Standard_F2s_v2
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- Standard_F4s_v2
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- Standard_F8s_v2
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- Standard_F16s_v2
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- Standard_F32s_v2
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- Standard_F48s_v2
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- Standard_F64s_v2
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- Standard_F72s_v2
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- Standard_FX24mds
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- Standard_FX36mds
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- Standard_FX48mds
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- Standard_E2s_v3
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- Standard_E4s_v3
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- Standard_E8s_v3
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- Standard_E16s_v3
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- Standard_E32s_v3
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- Standard_E48s_v3
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- Standard_E64s_v3
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- Standard_NC4as_T4_v3
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- Standard_NC6s_v2
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- Standard_NC6s_v3
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- Standard_NC8as_T4_v3
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- Standard_NC12s_v2
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- Standard_NC12s_v3
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- Standard_NC16as_T4_v3
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- Standard_NC24s_v2
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- Standard_NC24s_v3
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- Standard_NC24rs_v3
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- Standard_NC64as_T4_v3
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- Standard_ND40rs_v2
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- Standard_ND96asr_v4
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- Standard_ND96amsr_A100_v4
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default: Standard_NC24s_v3
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description: Compute instance size to deploy model. Make sure that instance type is available and have enough quota available.
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min_instances:
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type: integer
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optional: true
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default: 0
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description: Minimum number of instances of the compute cluster to be created.
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max_instances:
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type: integer
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optional: true
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default: 1
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description: Maximum number of instances of the compute cluster to be created.
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idle_time_before_scale_down:
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type: integer
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optional: true
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default: 120
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description: Node Idle Time before scaling down the compute cluster to be created.
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output_file_name:
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type: string
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optional: true
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default: predictions.csv
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description: Name of the batch scoring output file.
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max_concurrency_per_instance:
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type: integer
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optional: true
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default: 1
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description: The maximum number of parallel scoring_script runs per instance.
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error_threshold:
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type: integer
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optional: true
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default: -1
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description: The number of file failures that should be ignored.
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max_retries:
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type: integer
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optional: true
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default: 3
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description: The maximum number of retries for a failed or timed-out mini batch.
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timeout:
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type: integer
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optional: true
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default: 500
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description: The timeout in seconds for scoring a single mini batch.
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logging_level:
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type: string
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optional: true
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default: info
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description: The log verbosity level.
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mini_batch_size:
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type: integer
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optional: true
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default: 10
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description: The number of files the code_configuration.scoring_script can process in one run() call.
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instance_count:
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type: integer
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optional: true
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default: 1
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description: The number of nodes to use for each batch scoring job.
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outputs:
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batch_job_output_folder:
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type: uri_folder
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description: Folder to which batch job outputs will be saved.
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tags:
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Preview: ""
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Internal: ""

‎assets/common/components/deploy_model/asset.yaml‎

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type: component
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spec: spec.yaml
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categories: ["Models"]

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